New Website is Under Development Website ↗

Hello There!

I’m Sanjog.Flag of NepalFlag of Canada

University Gold Medalist in Civil Engineering · Researcher · Innovator

“

Bridging engineering fundamentals with IoT and machine learning to build smarter, sustainable and resilient infrastructure.

26 journal worksPlus 9 patents & 11 ongoing projects
Sanjog Chhetri Sapkota in graduation attire
Civil EngineeringMachine LearningIoTExplainable AISustainable Materials
University Gold MedalistMachine LearningPatents & InnovationNepalese in ResearchCivil Engineering

About Me

Engineering with curiosity,
research with purpose.

My name is Sanjog Chhetri Sapkota, and I'm a University Gold Medalist in Civil Engineering. Throughout my academic journey, I've consistently aimed to combine my passion for engineering with a drive to solve practical, real-world problems. Whether presenting research at symposiums or working alongside industry experts, I've always sought to push the boundaries of innovation within civil engineering.

I am particularly fascinated by how technology can transform traditional engineering practices. My research interests lie in integrating advanced tools like the Internet of Things (IoT) and Machine Learning (ML) to address some of the most pressing challenges the civil engineering community faces today. I believe that bridging the gap between engineering fundamentals and cutting-edge technology offers an opportunity for more innovative, sustainable solutions—and I want to be part of that change.

In my collaborations with professors and peers, my strength has always been my ability to absorb knowledge and multitask effectively and quickly. This adaptability has enhanced my technical skills and nurtured a deeper appreciation for teamwork and shared learning. I am also dedicated to applying my skills to create meaningful, positive changes for society. My work aims to develop solutions that enhance the quality of life, foster sustainability, and make infrastructure smarter and more resilient.

Beyond academics, I am dedicated to mentoring fellow students and sharing my journey to inspire others to explore the exciting intersections of engineering and technology. I hope this platform gives an insight into my experiences, values, and vision for the future. I'm excited to bring my curiosity, skills, and passion for innovation into my next academic endeavor. Thank you for visiting—I look forward to connecting and sharing more as I continue this journey of learning, innovation, and societal betterment.

RecognitionUniversity Gold Medalist, 2022
DisciplineCivil Engineering
Research LensML, IoT & Explainable AI
PurposeSocietal betterment

Academic Details

Skills, interests & achievement.

The complete academic profile listed on Sanjog’s Google Sites portfolio.

Areas of Interest

  • Soft Computational Techniques (Machine Learning, Deep Learning)
  • Optimization Techniques
  • Sustainable Materials
  • Structural health monitoring
  • Air and Water Pollution
  • Energy-efficient technologies
  • GIS and Remote Sensing
  • Health informatics
  • EV Vehicles
  • Life Cycle Assessment (Sustainability)

Software Skills

  • Modelling: Etabs, SAP2000, Plaxis, HEC-RAS, Safe, CSI-Bridge
  • Numerical Simulation: Abaqus, Comsol Multiphysics, Ansys
  • Design: AutoCAD, Revit, Solidworks
  • Programming: Python, R, Matlab, C++
  • Applications: Origin, SPSS, ArcGIS, Photoshop, MS-Office, Primavera

Achievements

  • University Gold Medalist (2022)
  • National-level Hackathon winner for web-based IoT-based sewage monitoring system (2022)
  • Filed several Innovation patents

Trainings

  • Machine learning Bootcamp (2021)
  • 100 days of Python (2020)
  • Supervised Machine learning (2022)
  • Training on ArcGIS, Google Earth Engine (2020)
  • Training on Development of 3D-Printed materials (2022)
  • Machine learning and Deep learning in Python and R (2023)

Published / Ongoing Review Papers

Complete journal record.

All 26 civil-engineering research entries, with contributors, highlights, status and every listed publication link.

#01 · Civil Engineering ResearchPublished

Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms

Contributors: Sufyan Ghani, Sanjog Chhetri Sapkota, Raushan Kumar Singh, Abidhan Bardhan, Panagiotis G. Asteris

Complete highlights & status
  • Employed ensemble machine learning to predict the liquefaction potential index of fine-grained soil.
  • Higher prediction accuracy of 99%, which makes it feasible for early assessments of liquefaction susceptibility.
  • Verified using a Chi-Chi earthquake validation set for the developed model.

Status: Published in Soil Dynamics and Earthquake Engineering (Elsevier)

Open publication ↗
#02 · Civil Engineering ResearchPublished, Asian journal of civil engineering (Springer, Scopus)

Prediction of the compressive strength of normal concrete using ensemble machine learning approach

Contributors: Sanjog Chhetri Sapkota, Prasenjit Saha, Sourav Das, L. V. Prasad Meesaraganda

Complete highlights & status
  • Prediction of compressive strength based on laboratory data using ensemble bagging and boosting-based machine learning techniques
  • Used new feature selection techniques and compared the performance of different combinations for optimization.
  • This work showed better results than the traditional method, with an accuracy of 97 %.

Status: Published, Asian journal of civil engineering (Springer, Scopus)

Open publication ↗
#03 · Civil Engineering ResearchPublished

Optimized Machine Learning Models for Prediction of Effective Stiffness of Rectangular Reinforced Concrete Column Sections

Contributors: Sanjog Chhetri Sapkota, Sourav Das, Prasenjit Saha

Complete highlights & status
  • predict effective stiffness of rectangular RC columns using hybrid ensemble ML models combined with TPE-based Bayesian optimization; computed effective stiffness ratio (r = EIe/EIg) from RC frame buildings designed per UPBD methodology; CatBoost outperformed with R2 0.9921 and 0.9966; SHAP sensitivity analysis.

Status: Published in Structures, Elsevier, I.F 4.1

Open publication ↗
#04 · Civil Engineering ResearchPublished

Leveraging Explainable Hybrid Machine learning for the Prediction of Interfacial Bond Strength between Normal Concrete and Ultra-High-Performance Concrete

Contributors: Sanjog Chhetri Sapkota, Sagar Sapkota, Tushar Bansal

Complete highlights & status
  • hybrid algorithms (ensemble ML + TPE Bayesian optimization); Nested Cross validation; SHAP local/global interpretability of UHPC-NSC bond strength; reverse design method using Shap results.

Status: Published in Arabian Journal for Science and Technology, Springer

Open publication ↗
#05 · Civil Engineering ResearchPublished, Computers and Concrete (Techno press (SCI-indexed), I.F 4.1)

A Generalised Explainable Approach to Predict the Hardened Properties of Self-Compacting Geopolymer Concrete Using Machine Learning Techniques

Contributors: Endow Ayar Mazumder, Sanjog Chhetri Sapkota, Sourav Das, Prasenjit Saha, and Pijush Samui

Complete highlights & status
  • hybrid ML for hardened properties of self-compacting geopolymer concrete; >99% accuracy for compressive, flexural, split tensile strength; shap explainable method.

Status: Published, Computers and Concrete (Techno press (SCI-indexed), I.F 4.1)

Open publication ↗
#06 · Civil Engineering ResearchAccepted (Yet to publish

Analyzing the behavior of geopolymer concrete (GPC) with different novel machine-learning algorithms

Contributors: Sanjog Chhetri Sapkota, Dipak Dahal, Ajay Yadav, Dipak Dhakal, Satish Paudel

Complete highlights & status
  • ensemble ML to predict fresh/hardened properties of SCC; inputs cement dosage, fly ash, water–powder ratio, coarse/fine aggregate, super-plasticizer; outputs slump flow, L-box ratio, V-funnel, Fc28; XGBoost best for slump flow (R²=0.9941) and V-funnel (R²=0.9981); CatBoost best for L-box (R²=0.9926) and compressive strength (R²=0.9941).

Status: Accepted (Yet to publish in Practice Periodical on Structural Design and Construction, ASCE (SCI-indexed)

No external link listed
#07 · Civil Engineering ResearchAccepted (Published, Structural Engineering International, Taylor and Francis (SCI-indexed)

Prediction of Strength and Failure Modes in RC Beam-Column Joints using Ensemble Machine Learning Techniques

Contributors: Prasenjit Saha, Sanjog Chhetri Sapkota, Sourav Das

Complete highlights & status
  • exterior beam-column joints; Decision Tree, Random Forest, AdaBoost, CatBoost, LightGBM; CatBoost best with correlation 0.9836 (load capacity), 0.9978 (shear strength); best failure-mode classification.

Status: Accepted (Published, Structural Engineering International, Taylor and Francis (SCI-indexed)

Open publication ↗
#08 · Civil Engineering ResearchPublished

Explainable hybridized ensemble machine learning for the prognosis of the compressive strength of recycled plastic-based sustainable concrete with experimental validation

Contributors: Sanjog Chhetri Sapkota, Ajay Yadav, Ajaya Khatri, Tushar Singh and Dipak Dahal

Complete highlights & status
  • recycled plastic-based concrete; Random Forest + XGB with Krill Herd (KH) and Leopard Seal Algorithm (LSA); XGB-LSA R²=0.97 train, 0.95 test; tenfold CV; SHAP key components: binder 550 kg/m³, recycled plastic aggregate <25 kg/m³, W/B 0.3–0.35; 94% validation accuracy; developed GUI for real-time application.

Status: Published in Multiscale and Multidisciplinary Modeling, Experiments and Design, Springer

Open publication ↗
#09 · Civil Engineering ResearchOngoing Review

Influence of Fiber Content on Autogenous Shrinkage and Mechanical Properties of High-Strength Engineered Cementitious Composites

Contributors: Ajad Shrestha, Sanjog Chhetri Sapkota, Bijay Bhatt, Md Ahatasamul Hoque

Complete highlights & status
  • waste iron sand + PE fiber 1.2%/1.5%/1.8%; 40.76% max shrinkage reduction at 1.8%; compressive strength up to 118.4 MPa, tensile strength 13.43 MPa, tensile strain 7.59%; elastic modulus >40 GPa stable.

Status: Ongoing Review in Journal of Sustainable Cement-Based Materials, Taylor and Francis

No external link listed
#10 · Civil Engineering ResearchOngoing Review

A Paradigm Shift in Corrosion Inhibition using Botanical Extracts: From Conventional Methods to Advanced Methods for Reinforcing Steel

Contributors: Sanjog Chhetri Sapkota, Dipak Dahal, Ajay Yadav, Dipak Dhakal, Ram Kumar Sharma, Gaurav Saini

Complete highlights & status
  • review of corrosion inhibitors (CIs) in RCC, green/botanical CIs, BCI tests, DFT/MDS/MCS/QSAR/ML/DL for corrosion analysis.

Status: Ongoing Review in Innovative Infrastructures Solutions

Open publication ↗
#11 · Civil Engineering ResearchPublished

Techno-economic analysis of hydrogen production from waste plastics and storage plant in the context of Japan

Contributors: Bishwash Paneru, Biplov Paneru, Sanjog Chhetri Sapkota, Dhiraj Kumar Mandal, Prem Giri

Complete highlights & status
  • plastics → hydrogen; DWSIM + Aspen Plus; 1,449,792 kg/year H2 from PET/PVC/PE/PP/PS; 600°C, 3 bar, 100 kg/h plastic → 7.098 kg/h H2; CAPEX 143.5M JPY, OPEX 29.7M JPY/yr; LCOH 8.874–19.82 USD/kg.

Status: Published in International Journal of Hydrogen Energy, Elsevier, I.F 8.1

Open publication ↗
#12 · Civil Engineering ResearchPublished

Advanced predictive modelling of electrical resistivity for geotechnical and geo-environmental applications using machine learning techniques

Contributors: Soumitra Kumar Kundu, Ashim Kanti Dey, Sanjog Chhetri Sapkota, Prasenjit Debnath, Prasenjit Saha, Arunava Ray, Manoj Khandelwal

Complete highlights & status
  • ER for subsurface investigation; 2772 ER tests on seven soil types; SVR/ANN/XGB, XGB best R²=0.99; parametric study of temperature, density, moisture.

Status: Published in Journal of GeoPhysics, Elsevier

Open publication ↗
#13 · Civil Engineering Research(Accepted

Experimental Study with Machine Learning Validation for Analyzing the Influence of Oxide Ratio of Alumina Silicate Precursor for Development of Geopolymer

Contributors: Ashwin N Raut, Anant Lal Murmu, Sanjog Chhetri Sapkota, Sourav Das, Prasenjit Saha

Complete highlights & status
  • oxide ratios (Si/Al, Al/Na, Si/Na, Na/H2O); 6 FA-based + 2 GGBS-based mixes, NaOH 10/12/14 M; RF/GBM/AdaBoost/Stacking; Stacking R² 0.977/0.956/0.951 (3/7/28-day); SHAP: Na/Si ratio and Setting Time most influential.

Status: (Accepted in (Construction and Building Materials, Elsevier)

No external link listed
#14 · Civil Engineering ResearchPublished

Prediction of bearing capacity of geogrid-reinforced sand over stone columns in soft clay

Contributors: Amit Saha, Sanjog Chhetri Sapkota, Prasenjit Saha, Prasenjit Debnath, Suman Hazari, Sourav Das, Pijush Samu[i]

Complete highlights & status
  • ultimate bearing capacity qrs of geogrid-reinforced sand on stone columns in soft clay; 245 observations; KNN/RF/XGBoost, XGBoost R²=0.9947.

Status: Published in Proceedings of the Institution of Civil Engineers-Ground Improvement, Emerald Publishing Limited

Open publication ↗
#15 · Civil Engineering ResearchPublished

Hybrid machine learning model to predict the mechanical properties of ultra-high-performance concrete (UHPC) with experimental validation

Contributors: Ajad Shrestha, Sanjog Chhetri Sapkota

Complete highlights & status
  • UHPC with waste cementitious materials; RF/XGB with Pelican Optimization (POA) and Walrus Optimization (WOA); XGB-POA R²>0.96 test; ten-fold CV; SHAP: age, fiber content, cement, silica fume; >95% experimental validation accuracy.

Status: Published in Asian Journal of Civil Engineering, Springer

Open publication ↗
#16 · Civil Engineering ResearchPublished

Exploring the potential of Himalayan Giant Nettle fiber and supplementary cementitious materials for sustainable concrete development

Contributors: Ajaya Subedi, Bhum Bahadur Thapa, Ashish Poudel, Binaya Adhikari, Binod Khadka, Samrat Poudel & Sanjog Chhetri Sapkota

Complete highlights & status
  • Himalayan Giant Nettle (HGN) fiber in M30 concrete + FA/RHA SCMs; 20% FA/RHA enhanced CS/FS/STS; 1% HGN optimal: +16.2%/33.33%/36.90% in CS/FS/STS; >1% reduced workability/strength.

Status: Published in Asian Journal of Civil Engineering, Springer

Open publication ↗
#17 · Civil Engineering Research(Published, Asian Journal of Civil Engineering, Springer)

Comparative nonlinear analysis of confined masonry walls: simplified micro-modeling versus finite element modelling in ETABS

Contributors: G.Panth, A.Shrestha, Sanjog Chhetri Sapkota

Complete highlights & status
  • simplified micro-modeling vs FEM in ETABS for confined masonry walls; concrete damage plasticity (CDP) model + truss elements; full-scale CM building for seismic assessment; validated against literature experiments.

Status: (Published, Asian Journal of Civil Engineering, Springer)

Open publication ↗
#18 · Civil Engineering ResearchOn going Review

Prediction of Seismic Response and Fundamental Period of Vibration of Low-Rise Reinforced Moment Resisting Frame Building with Masonry Infill Using Hybridized Machine Learning

Contributors: Ajaya Khatri, Ashish Thapa, Sanjog Chhetri Sapkota

Complete highlights & status
  • hybridized ML for seismic response + fundamental period T of RC-MRFs with masonry infill; 600 3D low-rise RC-MRFs in OpenSees, 10 inputs, 4 outputs (DI, DR, SH, T); XGB/RF with BOA/WOA; R² 0.976–0.997 train, 0.928–0.988 test; web-based GUI.

Status: On going Review in (Soil Dynamics and Earthquake Engineering, Elsevier)

Open publication ↗
#19 · Civil Engineering ResearchPublished

Prediction of autogenous shrinkage in ultra-high-performance concrete (UHPC) using hybridized machine learning

Contributors: Md Ahatasamul Hoque, Ajad Shrestha, Sanjog Chhetri Sapkota, Asif Ahmed & Satish Paudel

Complete highlights & status
  • RF/ETR/LGBM/XGBoost; novel Sparrow Search Algorithm (SSA)-XGBoost best: R²=0.91, RMSE=79.2 test; 5-fold CV; key features: curing relative humidity (CRH), steel fiber content (SFS), sand.

Status: Published in Asian Journal of Civil Engineering, Springer

Open publication ↗
#20 · Civil Engineering ResearchPublished

Prediction of fresh and hardened properties of self-compacting concrete using ensemble soft learning techniques

Contributors: Prasenjit Saha, Sanjog Chhetri Sapkota, Sourav Das, Naveen Kwatra

Complete highlights & status
  • ensemble ML for SCC fresh/hardened properties; same input/output setup as #6; XGBoost best slump flow (R²=0.9941), V-funnel (R²=0.9981); CatBoost best L-box (R²=0.9926), compressive strength (R²=0.9941).

Status: Published in Multiscale and Multidisciplinary Modeling, Experiments and Design, Springer

Open publication ↗
#21 · Civil Engineering ResearchPublished

Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm

Contributors: Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini

Complete highlights & status
  • RAC; hybridized XGB-PSO best R² 0.999 train
  • 0.960 test; key factors: cement 300–500 kg/m³, M-RCA 10–20 mm, water 180–200 kg/m³; SHAP; 10-fold CV.

Status: Published in Multiscale and Multidisciplinary Modeling, Experiments and Design, Springer

Open publication ↗
#22 · Civil Engineering ResearchReviewing

Discharge Determination of Rectangular Sharp Crested Weirs Using Machine Learning Models

Contributors: Mrimoy Dhar, Sanjog Chhetri Sapkota, Prasenjit Saha

Complete highlights & status
  • standalone vs ensemble ML for weir discharge; SHAP feature importance for coefficient of discharge; comparison with empirical models; h/P variation insights.

Status: Reviewing in (Flow Measurement and instrumentation, Elsevier, I.F 2.2)

No external link listed
#23 · Civil Engineering ResearchReviewing to Arabian Journal of Science and Technology (Springer, SCI-indexed)

Explainable Ensemble Soft Computing models for prediction of compressive strength of sustainable rice husk ash concrete

Contributors: Sanjog Chhetri Sapkota, Sagar Sapkota, Sani Isa aba, Gaurav Saini

Complete highlights & status
  • 12 performance indicators comparison; hybrid models with nested CV; SHAP local/global interpretation; reverse design strategy for RHAC.

Status: Reviewing to Arabian Journal of Science and Technology (Springer, SCI-indexed)

No external link listed
#24 · Civil Engineering ResearchPublished

Influence of cross‑girder spacing on RC T‑beam bridges: a comparative theoretical and finite element approach

Contributors: Ajaya Subedi, Binaya Adhikari, Ashish Poudel, Binod Khadka, Samrat Poudel, Sanjog Chhetri Sapkota

Complete highlights & status
  • FEA models with 0–10 cross girders, span/width constant, IRC loading; odd numbers of cross girders more effective; optimum 3 cross girders minimizes BM/deflection; Courbon's distribution factor comparison.

Status: Published in Discover Civil Engineering, Springer

Open publication ↗
#25 · Civil Engineering ResearchReviewing

Estimation of Reference Crop Evapotranspiration: A Comparative Analysis

Contributors: Umesh Kumar Das, Sanjog Chhetri Sapkota, Prasenjit Saha, Sameer Arora

Complete highlights & status
  • ML algorithms (standalone, bagging, boosting) for reference crop evapotranspiration in Jaipur, Rajasthan, India (arid); >95% accuracy on peak seasons; 100-year pattern, factors: precipitation, vapour pressure, average temperature.

Status: Reviewing in Hydrogeology journal, Springer (I.F 2.8)

No external link listed
#26 · Civil Engineering ResearchReviewing

Prediction of Sustainable Concrete based on Palm Fibre and activated carbon using Boosting-Based based ensemble machine learning techniques

Contributors: Sanjog Chhetri Sapkota, Musa Adamu, Prasenjit Saha, Sourav Das

Complete highlights & status
  • Date Palm Fibre + activated carbon as sustainable materials; boosting-based ensemble vs standalone; SHAP feature importance, dependence plots.

Status: Reviewing in (Congent Engineering, Taylor and Francis)

No external link listed

Academic Projects

Ongoing & upcoming.

Current initiatives, planned review articles, future research articles and proposal directions.

11 On-Going Projects

01

Influence of temperature-dependent variables on the compressive strength of flyash-based geopolymer using hybridized machine learning algorithm

Contributors: Ashwin Rawat, Sanjog Chhetri Sapkota, Prasenjit Saha, and Sourav Das

Major oxide ratios (Si/Al, Al/Na, Si/Na, Na/H₂O), thermal effects, ML validation, over 98% reported hybrid-model accuracy, and a GUI for engineering decisions. Planning to send to Construction and Building Materials (I.F. 7.1).

02

Prediction of particulate matters of Kathmandu valley using attention-based Deep learning Techniques

LSTM, Bi-LSTM, GRU and RNN time-series models; Sanjog actively participated in composing a manuscript for research documentation.

03

Empirical approach for Prediction of Laboratory Peak Shear Stress Along the Cohesive Soil-Geosynthetic Interface using optimized machine learning model

Laboratory peak shear-stress data, an optimal boosting model in Python, explainable behavior and comparison with standalone and ensemble ML.

04

Development of advanced PINN modelling for the assessment of structural parameters via peizo sensors

05

Development of Efficient machine learning models for the evaluation of wastewater parameters

06

Prediction of mechanical properties of Limestone calcined clay composites (LC3) Using advanced machine learning techiques

07

Hybridized explainable ensemble modeling for the assessment of critical strength parameters of Engineered cementitious composites (ECC)

08

River discharge forecasting and hydropower potential prediction using deep learning models

09

prediction of liquefaction potential using advanced hybridized models

10

structural health assessments of piezo sensors embedded concrete

11

Corrosion monitoring using advanced hybridized deep models with reinforcing feedback criteria

Upcoming Review Articles

  1. A review of paradigm shifts in using potential corrosion inhibitors in reinforced concrete structures: 'from conventional to botanical extracts'.
  2. A review of machine learning as a tool in corrosion science.
  3. A comprehensive review on the use of machine learning in air pollution monitoring and mitigation
  4. Solar Thermal Desalination: Concept, design, Sustainability and future developments
  5. A comprehensive review on leveraging soft computing models in energy systems
  6. Use of AI/ Ml For the prediction of Indoor and outdoor pollutants.
  7. Use of Reinforcement learning for application in Civil engineering
  8. Development and applications of 3d-printed concrete.
  9. Carbon Sequestration and climate change mitigation

Upcoming Research Articles

  1. Image based Deep learning system for predicting the corrosion of RC structures.
  2. Quantification of sensor based data for the prediction of conductance and resonance of embedded PZT sensor using machine learning
  3. Deep learning based models for the modelling of air pollutants of Delhi

Proposal Works

I am keenly interested in the intersection of Civil Engineering, IoT, and AI/ML, as this integration offers improved problem-solving capabilities with greater accuracy and ease. Additionally, I am open to collaboration in independent projects within the field of Civil Engineering.

It will be updated soon. It will be carried out with dedicated members in the future, following the vision of the “Nepalese in Research” Campaign under NRCCNEPAL. I initiated the campaign. My students further extended and executed it.

  • A. Structural Engineering: Soil-Structural Interaction (Integration of Machine learning)
  • B. Construction Management
  • C. Geotechnical Engineering
  • D. Mechanical Engineering
  • E. Energy Efficient Buildings (Electrical Engineering)
  • F. Environment and Water Resources
  • G. Material Science Engineering
  • H. Sensors
  • I. Transportation Engineering
  • J. Medical and Others

Patents

Nine ideas, fully documented.

Some highlights of the certificate and the patent filings are attached on the source page; additional attachments with details will be added soon. View the original certificate carousel ↗

1. System and Method of Pipe Fluid Monitoring System. 202211041064 (Highly impactful)

Abstract

This patent presents an integrated real-time monitoring system for pipe fluid management, employing IoT-based technology with solar-powered functionality to monitor and visualize fluid conditions within pipelines, such as sewage systems, remotely. The system eliminates the need for physical inspections, providing real-time insights via a web-based interface. Designed for optimal efficiency, the system was demonstrated successfully in a university setup, monitoring interconnected manholes spanning a range of up to 200 meters.

Description

The System and Method of Pipe Fluid Monitoring System addresses critical challenges in monitoring pipeline fluid conditions, particularly in sewage systems, by offering a sustainable, automated, and efficient solution. The system integrates IoT sensors, solar power, and web-based visualization tools to provide real-time feedback on pipe fluid levels, flow rates, and potential blockages or overflows.

This patent builds upon the success of a prior web-based sewage monitoring project and incorporates several advancements to create a scalable and robust solution. It employs solar-powered IoT nodes deployed across the pipeline network, particularly at manholes, enabling seamless data collection and transmission to a central server. The data is then processed and visualized through a web-based application, which provides stakeholders with actionable insights without requiring manual inspections.

Novelty and Unique Features

  1. 1. Integration of IoT and Solar Power: Combines IoT-based sensors with solar panel technology, ensuring uninterrupted functionality in remote areas without external power sources.
  2. 2. Web-Based Visualization in Real-Time: Provides an intuitive web interface to monitor fluid parameters like level, flow rate, and blockages. Enables remote access for stakeholders, eliminating the need to access hazardous locations physically.
  3. 3. Crosslinked Monitoring of Manholes: Capable of monitoring and analyzing fluid conditions across a network of manholes within a 200-meter range, offering a comprehensive view of pipeline conditions.
  4. 4. Sustainable and Cost-Efficient Solution: Reduces operational costs and environmental impact by utilizing solar power and minimizing the need for manual inspections.
  5. 5. Scalable Design: Demonstrated success in university-based projects, showcasing adaptability for larger municipal or industrial applications.
  6. 6. Real-Time Monitoring without Physical Access: Detects and visualizes fluid conditions in real-time, even in hard-to-reach or hazardous locations, ensuring safety and operational efficiency.

Applications

  • Municipal sewage and drainage system monitoring.
  • Industrial fluid pipeline management.
  • Stormwater or irrigation system monitoring.
  • Remote pipeline condition assessment in hazardous or hard-to-reach areas.

Impact

This patent demonstrates a technological leap in pipeline fluid monitoring, offering a sustainable, efficient, and scalable solution that leverages real-time data for proactive decision-making. By addressing traditional challenges such as energy dependence, safety concerns, and manual labor, this system has the potential to revolutionize fluid monitoring in various industries.

2. IoT-based solar composting attachments. 202211045537

Abstract

This patent introduces an IoT-based solar composting attachment system designed to accelerate the waste-to-nutrient-rich soil conversion process. The system integrates solar power and IoT sensors with advanced machine learning algorithms to monitor, classify, and optimize composting conditions in real-time. This innovative system enhances composting efficiency and sustainability by detecting nutrient levels and classifying waste conversion stages.

Description

The IoT-Based Solar Composting Attachments patent addresses the growing need for sustainable and efficient composting solutions. This system employs solar-powered IoT technology combined with machine learning models to optimize the composting process.

The system continuously monitors key parameters such as nutrient composition, temperature, humidity, and organic content in the waste. Using machine learning, it classifies the waste conversion stages into nutrient-rich soil, providing real-time feedback and recommendations to enhance the composting process.

This self-sustaining system, powered by integrated solar panels, operates in any environment without external energy sources, making it both cost-effective and eco-friendly.

Novelty and Unique Features

  1. 1. Solar-Powered Operation: Utilizes integrated solar panels to power the IoT sensors and machine learning framework, ensuring energy independence and sustainability.
  2. 2. IoT Sensor Integration: Monitors critical composting parameters in real-time, including temperature, humidity, and nutrient levels, enabling precise control of the composting process.
  3. 3. Machine Learning for Waste Classification: Classifies the waste-to-nutrient-rich soil conversion stages based on nutrient composition and other parameters, optimizing the composting timeline.
  4. 4. Real-Time Feedback: Provides real-time data and recommendations to accelerate the composting process, reducing the time required for waste conversion.
  5. 5. Eco-Friendly and Scalable Design: Offers a sustainable solution for both small-scale household composting and large-scale waste management applications.
  6. 6. Enhanced Nutrient Detection: Capable of detecting nutrient levels in the waste, ensuring the production of high-quality compost.

Applications

  • Residential and commercial composting systems.
  • Agricultural waste management for nutrient recycling.
  • Large-scale municipal composting facilities.
  • Industrial composting solutions for organic waste processing.

Impact

This patent delivers a next-generation composting solution that leverages solar energy and IoT technology to optimize waste management practices. By reducing waste-to-soil conversion time and improving compost quality through machine learning, this innovation addresses key environmental challenges while promoting sustainable waste recycling practices.

3. An effective scaffolding prop for construction safety. (344075-001), (344076-001)

Abstract

This patent presents a hydraulic-based scaffolding prop system enhanced with advanced sensor integration for improved construction safety and adaptability. The system is designed to adjust scaffolding height dynamically based on project complexity and specific requirements, ensuring precise leveling and eliminating the limitations of traditional scaffolding methods. Its customizable and intelligent design enhances operational efficiency and worker safety on construction sites.

Description

The Effective Scaffolding Prop for Construction Safety introduces a hydraulic-based design equipped with integrated sensors for real-time adjustments and monitoring. This system revolutionizes traditional scaffolding methods by offering smart leveling capabilities and height adjustment to match the complexity of various construction projects.

Sensors embedded in the system continuously monitor the structural stability and alignment of the scaffolding, ensuring optimal safety standards. The hydraulic mechanism enables seamless height adjustments with minimal manual intervention, accommodating intricate design requirements. The system's customizable framework makes it suitable for diverse applications, ranging from small-scale projects to large, complex construction sites.

Novelty and Unique Features

  1. 1. Hydraulic-Based Height Adjustment: Allows precise and dynamic height adjustments, catering to the unique requirements of different construction projects.
  2. 2. Smart Leveling System: Integrated sensors monitor and adjust scaffolding alignment in real-time, ensuring stability and safety.
  3. 3. Customizable Design: Offers flexibility to adapt scaffolding configurations for projects of varying complexity and scale.
  4. 4. Enhanced Safety Features: Monitors structural integrity through sensor data, providing alerts for any misalignments or potential hazards.
  5. 5. Automation and Efficiency: Reduces reliance on manual adjustments, improving efficiency and minimizing human error in scaffolding setups.
  6. 6. Compatibility with Modern Construction: Seamlessly integrates into advanced construction environments, supporting modern safety and operational standards.

Applications

  • High-rise building construction requiring dynamic height adjustments.
  • Complex construction sites with unique scaffolding requirements.
  • Infrastructure projects like bridges and tunnels requiring precise leveling.
  • Retrofitting projects with height and alignment challenges.

Impact

This patent introduces an innovative scaffolding solution that enhances safety, adaptability, and efficiency in construction projects. By integrating hydraulic mechanisms and smart sensors, this system addresses traditional limitations, offering a customizable and intelligent scaffolding solution that sets a new benchmark for construction safety.

4. Method and composition of geopolymer concrete with construction waste. 20211045509

Abstract

This patent describes a method and composition for producing geopolymer concrete by utilizing construction waste as a primary raw material. The innovation emphasizes sustainable construction practices by replacing conventional cement with geopolymeric binders derived from industrial and construction by-products. The method involves specific proportions of construction waste, alkaline activators, and supplementary materials to achieve high mechanical strength, durability, and environmental benefits.

Description

The Method and Composition of Geopolymer Concrete with Construction Waste aims to reduce environmental impact by recycling construction and demolition waste (CDW) into high-performance geopolymer concrete. This method combines construction waste with alkaline activators such as sodium hydroxide and sodium silicate to form a robust geopolymeric matrix.

The process involves:

  1. 1. Preparation of Construction Waste: Crushing and grinding construction waste into fine aggregates or powders suitable for geopolymerization.
  2. 2. Proportioning: Mixing construction waste with fly ash, slag, or other supplementary cementitious materials to enhance the binding properties.
  3. 3. Activation: Adding alkaline activators to initiate the geopolymeric reaction, resulting in the formation of a dense and durable binder.
  4. 4. Curing: Utilizing ambient or elevated temperature curing to achieve desired mechanical and durability properties.

The final product exhibits excellent compressive strength, low permeability, and resistance to chemical attacks, making it suitable for various construction applications.

Novelty and Unique Features

  1. 1. Utilization of Construction Waste: Transforms waste into a valuable resource, reducing landfill burden and promoting circular economy practices.
  2. 2. Alkaline Activation: Employs geopolymer technology to replace cement, significantly lowering the carbon footprint.
  3. 3. Enhanced Performance: Achieves high compressive strength, durability, and resistance to sulfate and chloride attacks, comparable or superior to conventional concrete.
  4. 4. Customizable Composition: Offers flexibility in incorporating varying proportions of construction waste based on availability and project requirements.
  5. 5. Eco-Friendly Solution: Minimizes cement usage, reduces greenhouse gas emissions, and promotes sustainable construction practices.

Applications

  • Structural concrete for buildings, roads, and bridges.
  • Precast geopolymer products such as blocks, tiles, and panels.
  • Infrastructure projects requiring durable and sustainable materials.
  • Retrofitting and rehabilitation of existing structures.

Impact

This patent demonstrates a sustainable and innovative approach to producing geopolymer concrete, addressing critical environmental challenges associated with construction waste and cement production. By integrating geopolymer technology with construction waste recycling, this invention paves the way for greener and more efficient construction materials.

5. An effective way of inhibiting corrosion using a process and mechanism using botanical extracts.

Abstract

This patent presents an innovative method and system for inhibiting corrosion through the application of coatings derived from botanical extracts, enhanced with machine learning (ML) to optimize the coating process. The system utilizes data-driven models to adapt coating formulations, application parameters, and environmental responsiveness in real-time, thereby accelerating development and improving corrosion resistance. This approach combines sustainable, eco-friendly practices with advanced technological solutions to deliver a scalable and efficient method for corrosion prevention across diverse industrial applications.

Claims

  1. 1. A method for corrosion inhibition using botanical extracts, comprising:
  • Preparing a botanical extract-based coating solution.
  • Employing machine learning algorithms to optimize the formulation and application parameters, including extract concentration, curing time, and coating thickness.
  • Applying the optimized coating to the target metal surface.
  • Monitoring the performance of the coating in real-time using sensor data integrated with the machine learning system.
  1. 2. A system for corrosion inhibition, comprising:
  • A database of experimental data for botanical extracts under various environmental conditions.
  • Machine learning models trained to predict corrosion resistance and optimize coating parameters.
  • A sensor network to monitor environmental variables and coating performance.
  • An adaptive feedback mechanism to dynamically adjust coating parameters based on real-time data.
  1. 3. The method of claim 1, wherein the machine learning model utilizes algorithms selected from Gradient Boosting, Random Forest, and Neural Networks to optimize corrosion resistance.
  2. 4. The system of claim 2, wherein the sensor network includes IoT-enabled sensors to measure environmental conditions such as pH, salinity, temperature, and humidity.
  3. 5. The method of claim 1, further comprising the integration of predictive analytics to determine reapplication intervals and maintenance requirements for the coating.

Description

This patent describes a method and system that leverages botanical extracts as eco-friendly corrosion inhibitors, enhanced with machine learning optimization for precise control of the coating process. The innovation involves a multi-step process that integrates real-time data collection, predictive modeling, and dynamic parameter adjustments to improve the performance and efficiency of the corrosion inhibition system.

Process Overview

  1. 1. Extraction and Preparation: Botanical extracts are prepared using optimized solvent extraction methods to ensure the maximum yield of active phytochemicals.
  2. 2. Data Collection: Laboratory and field tests are conducted under varied conditions (e.g., acidic, saline, and humid environments) to build a comprehensive dataset.
  3. 3. Machine Learning Optimization: A machine learning model is trained on the collected data to predict and optimize coating parameters such as concentration, thickness, and curing time. Metaheuristic optimization algorithms like Genetic Algorithm (GA) or Bayesian Optimization are employed to fine-tune the ML model for specific environmental conditions.
  4. 4. Application and Monitoring: The optimized coating is applied to metal surfaces, and IoT sensors monitor key variables like surface integrity, pH, and environmental conditions. Real-time feedback is provided to dynamically adjust the coating process if required.
  5. 5. Predictive Analytics: Predictive models are integrated to forecast reapplication schedules and ensure long-term protection.

Novelty

  • Machine Learning Integration: First-time use of ML to optimize botanical extract-based coatings, enabling real-time parameter adjustments and accelerated development.
  • Dynamic Adaptability: The system adapts to environmental changes, ensuring consistent corrosion resistance across varied conditions.
  • Eco-Friendly Approach: Utilizes botanical extracts and minimizes environmental impact by replacing conventional chemical inhibitors.
  • Scalability: The method is applicable to diverse industries, including marine, automotive, and construction, with customization for specific use cases.

Applications

  • Industrial Equipment: Protection of pipelines, tanks, and machinery in corrosive environments.
  • Marine Infrastructure: Prevention of corrosion in ships and offshore platforms.
  • Construction: Enhancing durability of reinforced concrete and steel structures.
  • Automotive Sector: Coatings for vehicle components exposed to harsh environments.

Impact

This patent delivers a sustainable, technology-driven solution for corrosion inhibition that significantly enhances efficiency, adaptability, and environmental friendliness. Integrating machine learning optimization with botanical extracts represents a transformative approach to combating corrosion in modern industrial applications.

6. An automated sitting assembly for elderly people. IN 335397-001, Registered on November 20, 2020, IN 338832-002, IN 338832-001, Registered on February 10, 2021

Abstract

This patent introduces an automated sitting assembly specifically designed to enhance the comfort and usability for elderly individuals. The assembly integrates an adjustable seating mechanism equipped with smart sensors and automation to customize seating positions in real-time. The system allows for ergonomic adjustments such as seat height, backrest angle, and cushioning firmness, ensuring optimal comfort based on the user's preferences and physical needs. The customizable and automated design promotes ease of use, safety, and independence for elderly individuals.

Claims

  1. 1. An automated sitting assembly comprising:
  • A seat base with adjustable height controlled by an integrated motorized mechanism.
  • A backrest capable of angular adjustments for lumbar support.
  • Smart sensors to detect user posture, weight distribution, and preferences.
  • An intuitive control interface for manual or automated adjustments.
  1. 2. The assembly of claim 1, wherein the system features cushioning adjustments to regulate firmness based on the user's comfort level.
  2. 3. The assembly of claim 1, further comprising a memory function that stores the preferred seating configurations of individual users for quick recall.
  3. 4. A method for customizing the sitting assembly, including:
  • Sensing user input through pressure and motion sensors.
  • Adjusting seat height, backrest angle, and cushioning firmness using an automated control unit.
  • Providing real-time feedback on adjustments to ensure user satisfaction.
  1. 5. The assembly of claim 1, wherein the seating tool incorporates anti-slip materials and emergency stabilization features for added safety.
  2. 6. The assembly of claim 1, wherein the system integrates a mobile app or remote control for wireless operation and real-time customization.

Description

The Automated Sitting Assembly for Elderly People is designed to address common challenges faced by elderly individuals, such as difficulty in sitting and standing, improper posture, and discomfort during prolonged use. The system combines smart sensing technology with automated adjustments to provide a customized seating experience.

Key Features

  1. 1. Adjustable Height and Angles: Motorized height adjustment ensures easy sitting and standing transitions. Backrest angle can be customized to provide optimal lumbar and spinal support.
  2. 2. Smart Sensors: Embedded sensors monitor the user's posture and weight distribution in real-time. Automatically adjusts to prevent discomfort and strain.
  3. 3. Customizable Cushioning: Allows the user to modify the firmness of the seat cushioning based on individual comfort levels.
  4. 4. Memory Functionality: Stores multiple user profiles for quick recall of personalized settings.
  5. 5. User Interface: Simple interface with touch controls for manual adjustments. Remote operation enabled through a mobile app or handheld device.
  6. 6. Safety Features: Anti-slip base and emergency stabilization to prevent falls or tipping. Automatic locking during height or angle adjustments.

Novelty

  • Adaptive Design: Integrates sensors and automation to continuously adjust seating parameters in real-time based on user comfort and posture.
  • Customizable Features: Offers fully adjustable height, angles, and cushioning firmness, tailored to individual needs.
  • User-Friendly Technology: Wireless control through mobile apps enhances accessibility and convenience for elderly users.
  • Safety Integration: Anti-slip materials and stabilization features ensure safe operation, even for users with limited mobility.

Applications

  • Home Use: Comfortable and safe seating for elderly individuals in their living spaces.
  • Healthcare Facilities: Adjustable seating for patients in hospitals and nursing homes.
  • Public Spaces: Ergonomic seating for elderly users in parks, libraries, and waiting areas.

Impact

This patent provides a highly adaptable and user-centric solution for improving the quality of life of elderly individuals. By combining ergonomics, automation, and smart technology, the automated sitting assembly ensures comfort, independence, and safety, redefining seating solutions for the elderly.

7. An efficient design of door stoppers. IN 337654-00, registered on January 19, 2021

Abstract

This patent presents an efficient and optimized door stopper design that ensures reliable functionality and cost-effectiveness. The door stopper is engineered with an optimized shape to respond accurately to applied forces and maintain stability under varying conditions. Its innovative design offers enhanced durability, ease of installation, and compatibility with different door types, making it a low-cost yet highly effective solution for residential, commercial, and industrial applications.

Claims

  1. 1. A door stopper comprising:
  • An optimized shape designed to maximize stability and minimize material usage.
  • A responsive mechanism to hold the door in place securely under varying force conditions.
  1. 2. The door stopper of claim 1, wherein the shape includes:
  • A curved or sloped surface for gradual and precise contact with the door.
  • A non-slip base to maintain positioning on smooth or textured floors.
  1. 3. The door stopper of claim 1, further comprising a low-cost material composition such as high-strength polymers or metal alloys, ensuring durability and affordability.
  2. 4. A method for optimizing the shape of the door stopper, including:
  • Simulating force distribution and stress analysis for different shapes.
  • Selecting the most efficient design based on stability, material usage, and user convenience.
  1. 5. The door stopper of claim 1, wherein the device is adaptable for multiple door types, including heavy and lightweight doors.
  2. 6. The door stopper of claim 1, further comprising an optional attachment mechanism for fixed or semi-permanent installations.

Description

This patent introduces a door stopper that combines an optimized geometric design with cost-effective manufacturing techniques. The innovation focuses on creating a product that is not only affordable but also adaptable to various environments, ensuring widespread applicability.

Key Features

  1. 1. Optimized Design: The shape is derived from stress and force simulations to ensure maximum stability with minimal material usage.
  2. 2. Material Efficiency: Constructed from high-strength, lightweight materials such as polymers or alloys, balancing durability and affordability.
  3. 3. Non-Slip Base: Features an anti-skid surface to ensure the door stopper remains in place on any floor type.
  4. 4. Universal Compatibility: Can be used with doors of varying weights and sizes, making it a versatile solution.
  5. 5. Ease of Installation: Simple placement or optional attachment mechanism for secure and user-friendly application.
  6. 6. Sustainability: Designed with minimal material waste and recyclable components to reduce environmental impact.

Novelty

  • Optimized Shape: The unique design ensures accurate force response and stability while minimizing material usage.
  • Affordable and Scalable: Manufactured with low-cost materials and processes, enabling mass production without compromising quality.
  • Enhanced Usability: Universally compatible with all door types and designed for easy setup and removal.

Applications

  • Residential Use: To secure doors in homes against movement caused by wind or accidental force.
  • Commercial and Industrial Spaces: For stabilizing heavier doors in offices, warehouses, and workshops.
  • Public Areas: Useful in high-traffic locations such as schools, hospitals, and libraries.

Impact

This patent introduces a highly efficient, low-cost door stopper design that combines optimized functionality with user convenience. Its adaptable and durable construction makes it a sustainable and widely applicable solution for diverse environments, redefining everyday utility with advanced design principles.

8. A galvanic approach to metallic corrosion inhibition processes and mechanisms.

Abstract

This patent introduces a galvanic approach to corrosion inhibition, employing innovative processes and mechanisms to protect metallic surfaces in corrosive environments. The invention explores the use of sacrificial anodes, hybrid coatings, and eco-friendly inhibitors as alternative methods to traditional techniques. These solutions effectively mitigate corrosion by leveraging galvanic principles, optimizing electrochemical properties, and reducing the environmental impact.

Claims

  1. 1. A method for metallic corrosion inhibition comprising:
  • Applying a sacrificial anode system to protect the metallic substrate from corrosion through galvanic action.
  • Coating the metallic surface with a hybrid inhibitor layer combining galvanic properties with passive barriers for enhanced protection.
  1. 2. The method of claim 1, wherein the sacrificial anodes are composed of materials such as zinc, magnesium, or aluminum alloys to ensure high electrochemical compatibility.
  2. 3. A hybrid coating system comprising:
  • A base layer with galvanic properties for active corrosion protection.
  • An eco-friendly, bio-based inhibitor layer to reduce environmental impact.
  1. 4. A process to enhance corrosion inhibition by optimizing the anode-to-cathode area ratio for specific environmental conditions, ensuring maximum efficiency.
  2. 5. The method of claim 1, further comprising the use of machine learning algorithms to predict corrosion rates and optimize the selection of galvanic materials and coating configurations.

Description

This patent describes a galvanic-based corrosion inhibition approach that combines sacrificial anode systems, advanced coatings, and innovative eco-friendly alternatives. The invention focuses on achieving superior protection for metallic surfaces in diverse environments, including marine, industrial, and infrastructure settings.

Galvanic Mechanism: The process relies on galvanic action, wherein a sacrificial anode is strategically coupled with the protected metal. The anode corrodes preferentially, providing cathodic protection to the metallic substrate.

Alternative Methods to Inhibiting Corrosion

  1. 1. Sacrificial Anode Systems:
  • Deploy anodes made from zinc, magnesium, or aluminum alloys to provide cathodic protection.
  • Suitable for pipelines, marine vessels, and underground storage tanks.
  1. 2. Hybrid Coatings:
  • Utilize a multi-layer system with a galvanic underlayer and a passive inhibitor topcoat for dual protection.
  • Incorporate bio-based inhibitors derived from plant extracts to minimize environmental harm.
  1. 3. Electrochemical Inhibitors:
  • Develop coatings with self-repairing properties that release inhibitors when damage occurs, leveraging galvanic principles to halt corrosion locally.
  1. 4. Galvanized Composites:
  • Integrate sacrificial anode materials into structural components to provide distributed corrosion protection over large surfaces.
  1. 5. Smart Monitoring Systems:
  • Use IoT-enabled sensors to monitor corrosion activity in real-time and optimize inhibitor release or anode replacement schedules.
  1. 6. Predictive Modeling:
  • Implement AI/ML-based models to forecast corrosion progression and suggest timely interventions, ensuring efficient use of resources.

Novelty

  • Galvanic-Driven Hybrid Systems: Combines the active protection of sacrificial anodes with passive barrier coatings for unparalleled durability.
  • Eco-Friendly Inhibitors: Introduces plant-based or biodegradable inhibitors to reduce reliance on synthetic chemicals.
  • Predictive Analytics Integration: Employs machine learning to optimize materials and configurations based on environmental data.
  • Real-Time Monitoring: Provides continuous feedback on corrosion rates, enabling proactive maintenance.

Applications

  • Marine and Offshore Structures: Ships, oil rigs, and underwater pipelines.
  • Industrial Equipment: Storage tanks, reactors, and machinery exposed to corrosive chemicals.
  • Infrastructure: Bridges, reinforced concrete, and metallic frameworks in urban environments.
  • Automotive and Aerospace: Protection of vehicle and aircraft components exposed to moisture and temperature extremes.

Impact

This patent introduces a sustainable and adaptive solution for metallic corrosion inhibition, leveraging galvanic principles and eco-friendly technologies. By integrating advanced coatings, predictive analytics, and real-time monitoring, this invention offers a versatile approach to combating corrosion across diverse industries, promoting durability and environmental sustainability.

9. An Automated Sitting Assembly with Different Adjustments for Elderly People. Design Patent No.: IN 339374-002, IN 339374-001

Abstract

This patent presents an automated sitting assembly designed for elderly individuals, featuring adjustable leg heights, ergonomic optimization, and smart sensing technology. The chair provides fully customizable seating positions, adapting to the user's comfort and physical needs. Its innovative design includes motorized height adjustment for the legs, real-time backrest alignment sensing, and ergonomically optimized adjustments for maximum safety and ease of use. This unique system offers a blend of advanced technology and user-centric design, enhancing comfort and independence for elderly users.

Claims

  1. 1. An automated sitting assembly comprising:
  • A motorized mechanism to adjust the height of the chair legs individually or collectively.
  • A backrest equipped with smart sensors to detect posture and automatically adjust to ergonomic positions.
  • A control interface for manual adjustments or automated presets.
  1. 2. The assembly of claim 1, wherein the backrest sensing technology utilizes pressure sensors and motion detectors to provide real-time feedback for optimal alignment.
  2. 3. The sitting assembly of claim 1, further comprising an ergonomic adjustment system that customizes the seat's inclination, cushioning, and lumbar support as per the user's requirements.
  3. 4. The assembly of claim 1, wherein the system incorporates a memory function to save user-specific presets for height, backrest angle, and cushion firmness.
  4. 5. A method for real-time adjustment, including:
  • Detecting user posture through embedded sensors.
  • Activating the motorized mechanism to adjust the chair height and backrest angle dynamically.
  1. 6. The assembly of claim 1, wherein the system integrates IoT connectivity for remote control and monitoring via mobile applications or smart home systems.

Description

The Automated Sitting Assembly with Adjustable Features for Elderly People is designed to address the unique physical and ergonomic needs of elderly individuals. This assembly combines advanced technology with user-focused design to ensure comfort, safety, and adaptability.

Key Features

  1. 1. Motorized Adjustable Legs: Allows individual or collective adjustment of chair leg heights to cater to uneven surfaces or user preferences. Enhances ease of sitting and standing for users with mobility challenges.
  2. 2. Smart Backrest Alignment: Equipped with sensors to detect posture and align the backrest automatically for optimal lumbar support and ergonomic comfort.
  3. 3. Ergonomic Optimization: Customizes the seating angle, cushioning firmness, and lumbar support for maximum comfort and health benefits.
  4. 4. User-Specific Memory Function: Stores user preferences, enabling quick adjustments based on pre-saved configurations.
  5. 5. IoT Connectivity: Offers remote control via smartphones or smart home systems for added convenience and integration into modern living environments.
  6. 6. Safety and Stability: Anti-slip materials and stabilization features ensure safe usage across all adjustments.

Novelty

  • Unique Adjustable Leg System: First-of-its-kind design that allows dynamic height adjustments for each leg, catering to uneven surfaces and specific user needs.
  • Smart Sensing Technology: Integrated sensors enable real-time detection and adjustment, providing a fully automated and personalized seating experience.
  • Ergonomically Optimized Design: Combines advanced adjustments with health-focused ergonomics, ensuring long-term comfort and safety.
  • IoT Integration: Enhances accessibility and functionality by enabling remote control and customization through digital devices.

Applications

  • Residential Use: Comfortable and adaptive seating for elderly individuals at home.
  • Healthcare Facilities: Adjustable chairs for patients in hospitals and nursing homes.
  • Public Spaces: Accessible seating solutions for elderly individuals in parks, libraries, and waiting areas.
  • Therapeutic Use: Customized seating for physical therapy and rehabilitation purposes.

Impact

This patent introduces a revolutionary sitting assembly tailored for elderly individuals, blending customizable adjustments, advanced sensing technology, and ergonomic optimization. Its unique features ensure comfort, independence, and adaptability, setting a new standard for seating solutions in both personal and institutional settings.

Passion Projects

Problem-solving beyond papers.

This section intends to give an overview of my passion-driven problem-solving projects, which have been developed in collaboration with others and have led to the filing of numerous patents. Since it is a work in progress, the content will be added simultaneously in the upcoming times. Many patents were designed and consecutively filed as innovations on the projects, from simple modifications to improving the problem-solving process. The insights into such things were developed when my professor, Prof. Saini, focused on the subject named “Design, Technology, and Innovation” from the NPTEL online study. This has given me a profound interest in the things required for innovation in solving general existing problems.

Prior to my undergrad study, I was involved in different construction projects, which directly and indirectly laid a strong foundation for solving the problems. This section highlights the areas where I want to work to solve the issues.

The passion-driven projects section will include detailed reports and an approach to solving the problems in Nepal and the Indian subcontinent.

  1. Launching a small business or establishing a non-profit organization that addresses societal challenges.
  2. Undertaking an independent research initiative to contribute valuable insights and solutions to pressing issues.
  3. Crafting a specialized website or application centered around specific topics, aiming to provide valuable information or services.
  4. Authoring a book or maintaining a blog to share knowledge and experiences that can inspire positive change.
  5. Organising fundraising events or community-focused gatherings to benefit and uplift the local community.
  6. Initiating AI projects for social good, leveraging artificial intelligence technology to create solutions that enhance the well-being of society.

Samasya2Samadhaan

Updating soon.

Media Coverage

My Research Talks.

Five talks on research culture, practical problem-solving, education and global university applications.

01

Decode Research Papers

In a recent interview, I discussed decoding research papers to make the process accessible and impactful for students and aspiring researchers. I highlighted the importance of research in driving innovation, solving real-world problems, and advancing knowledge. I explained the research process, from identifying problems and reviewing literature to analyzing data and publishing results, emphasizing the need for critical thinking at every step. The talk covered how to find research gaps by analyzing existing studies, evaluating trends, and addressing practical needs to ensure originality and value. I clarified the difference between research and review articles—research articles generate new data, while review articles summarize and evaluate existing work to provide direction. Practical advice was shared for beginners: start small, read extensively, seek mentorship, and stay persistent. The interview aimed to inspire others to explore the transformative world of research.

Watch on YouTube ↗
02

Research is not just for paper publication; it is about solving problems

In a recent media interview, I shared my thoughts on the importance of research, emphasizing that research is not merely for paper publication—it is about solving real-world problems and creating meaningful impact. I reflected on my journey, from being a university gold medalist to writing numerous research papers, filing patents, identifying problems, and developing solutions. I discussed my vision of fostering a culture of research in Nepal through the Campaign for Nepalese in Research, focused on innovation, collaboration and solution-oriented research. The campaign has addressed multiple research problems, with outcomes presented in top journals and shared with various ministries of Nepal, offering actionable solutions for national development.

Watch on YouTube ↗
03

Problem-solving skills should be prioritized in school

I emphasized why research is necessary and how it should be ingrained in education from school days to foster critical thinking and innovation early on. Research is especially vital for developing nations, as it provides effective, long-lasting solutions to pressing problems. I highlighted the Nepalese in Research campaign, its solution-oriented approach tailored to Nepal’s challenges, and actionable insights presented in top journals and to government ministries.

Watch on YouTube ↗
04

Solving minor problems efficiently also elevates research culture

I discussed how solving smaller problems with effective and efficient solutions is a critical aspect of research. Seminars in engineering colleges encouraged students and faculty to move beyond grades and embrace research as a means of creating solutions that directly benefit society. Nepalese in Research, under NRCC Nepal, tackles smaller yet impactful problems through technology, original concepts and respect for local culture. The aim is to cultivate extraordinary research skills among young engineers and build a research-driven mindset in Nepal.

Watch on YouTube ↗
05

Rewire yourself to stand out in the university application process

At Progress Engineering Academy (PEA), I shared insights on research, skills and preparation for higher education at top global universities. Despite multiple admissions, I chose not to go because I wanted further preparation and to grow Nepal’s research culture. The session covered my choices; what universities seek—research experience, skills, academic consistency and authentic motivation; effective LORs, CVs and SOPs; why research is key for MS/PhD applications; the free Nepalese in Research campaign; and why practical skills, leadership and impact should be the priority.

Watch on YouTube ↗

Verse and Vision · Unspoken Words

NirVani — A Tale of Nir and Vani.

The complete imaginative tale from Sanjog’s original site.

I was taking a respite from my demanding schedule, embarking on a journey from Kathmandu to Pokhara, seeking a tranquil escape to relax and recharge. As the bus rumbled along the winding roads, I sat beside a man named Nir. His presence exuded an aura of serenity, yet his eyes bore a weight of hidden pain concealed behind a faint but persistent smile.

Over the years, I had cultivated the ability to discern the unspoken thoughts and emotions of others, and it seemed that Nir had rarely encountered a receptive listener. Many had remarked that I possessed the gift of being a keen and empathetic listener. Our conversation meandered through various topics during our voyage towards Pokhara, including our respective professions. However, it became increasingly apparent that Nir carried a burden of untold stories and emotions within him, ones he had yet to share with anyone.

With a gentle tone and a sense of empathy, I broached the subject, expressing my intuition that he harbored unspoken sentiments. After all, this encounter was a fleeting one, and the likelihood of our paths crossing again in this lifetime was uncertain. Initially, Nir appeared somewhat uncomfortable with my inquiry, but as the bus came to a pause for an oil refill, he gradually allowed, choosing that moment to unburden his heart.

He recounted how their initial meeting had taken place during their school days and then proceeded to divulge every intricate detail of their journey together.

'Wait, wait, I'm coming,' a dulcet voice, honeyed and soothing, beckoned from behind. I turned and beheld a vision of beauty, a captivating girl with a smile that could enter even the coldest heart. Her alluring features held me in a mesmerizing trance, and I found myself gazing upon her for an eternity in just a few moments. A solitary mole adorned her right cheek, an enchanting detail that drew me in like a moth to a flame.

Never before had I encountered eyes with such profound depths. It was as if she harbored a multitude of secrets, some perhaps veiled in darkness, buried deep within her. Her gaze spoke volumes, hinting at untold mysteries waiting to be unraveled.

Her arrival in my life marked a profound shift, eclipsing all other aspirations. Her presence became my world. Our eyes had met in fleeting moments, but words remained elusive between us. Her absence cast a shadow over my days. It was an age of innocence, where emotions burned fiercely. My feelings for her remained a well-guarded secret, hidden deep within my heart.

Then, one day, she broke the silence with a simple 'Hello.' Happiness surged within me, and I greeted her warmly. After a pause, I summoned the courage to inquire about her name. However, she asked for my name, and I replied, 'Nir Katwal, Sec E.' Her laughter filled the air as she found my name unique. I explained its Sanskrit meaning as 'Without', and she was intrigued.

She introduced herself as Vani Karki, Sec H. Laughter flowed freely between us. At that moment, an unspoken connection was forged. We were both aware of it. For teenagers of fourteen to fifteen, such moments held a profound significance. She suggested we part ways for now, with the promise of future meetings.

As we went our separate ways, the anticipation of future encounters hung in the air, and the bond between us continued to deepen, nurtured by the magic of that first conversation that day. Our connection remained strong, even though our conversations remained sparse. The depth of our feelings grew with each passing day. We both sensed the gravity and seriousness of what lay between us. It was a constant battle within me, the desire to express my love warring with the fear of rejection and the potential loss of our friendship. So, I kept my emotions locked away, hidden from the world.

In the midst of our conversations, she playfully teased me, trying to uncover my feelings indirectly. She'd say, 'Nir means 'Without,' and Vani means 'Expressive,' so together, they become 'Without Expressive.' Or perhaps, it means 'Without Vani.'' It might have been a casual remark, but it struck a chord deep within me. My life without Vani was unimaginable, and it seemed she felt the same way. Our love didn't need words; it thrived in our silence.

As time passed, our love only deepened. We shared countless moments together, and we even enrolled in the same university. At one point, thoughts of marriage crossed our minds. We cherished each particular event, capturing those moments as souvenirs of our love.

However, the path to a lifelong union is fraught with challenges, including the approval of families and other considerations. In our case, caste was never an issue, but other factors conspired against us. She made a painful decision without discussing it with me. After we graduated, her family found a prospective groom for her, and she chose to follow their wishes without informing me. I was no ordinary lover, a graduate with dreams and aspirations beyond mere romance.

The pain and heartbreak I experienced after learning about her decisions left me shattered and inconsolable. She had made choices that profoundly affected our lives without even a word of explanation. I grappled with the understanding that she had been under immense pressure, and her family had faced their share of difficulties. Life was undoubtedly different for her, and I wished her nothing but the best in everything she pursued. In my heart, there was a burning desire to marry her, to be by her side because I believed that no one could care for and love her as deeply as I did. My world had irrevocably changed, and I carried the heavy weight of heartache deep within me. The question that haunted my thoughts day and night was why she hadn't confided in me, why she had chosen not to share her struggles. We had been through various stages of a relationship, but she had never found it within herself to confide in me. The turmoil of emotions within me gave rise to countless unspoken questions, and I wept for days. It was a stark reminder that men, too, are not immune to the pain of heartbreak; we, too, shed tears.

Nothing in my life remained the same after that moment. Her seemingly immature decision profoundly impacted the lives of three individuals: herself, me, and her husband. She couldn't be mine, yet she couldn't wholly belong to him either. While I wished for her happiness above all else, I couldn't help but lament that she never indeed recognized the love that resided in my eyes throughout our time together. I questioned my worth as a lover, berating myself for not being able to make her see what we had. The months passed, and it took me more than three agonizing months to accept that she was no longer a part of my life. I had loved her with all my heart, and the void she left behind was immeasurable. Then, five months later, fate brought an unexpected encounter. I saw her in a shopping mall, accompanied by her husband. He appeared somewhat older, with thinning hair and a nearly balding scalp. I couldn't help but remember when I had been with her, and she had remarked that she would never marry a bald man, urging me to take care of my hair.

Upon seeing them, my overwhelming emotion was not anger but rather sadness. I couldn't help but wonder what she hoped to achieve with a life marked by compromises and the exchange of emotions with someone she could never truly love. I firmly believed that love had the power to grow exponentially, and it only took one particular moment to plant the seed of love that could last a lifetime.

The moment I laid eyes on her again, it was as if time had rewound to our first encounter. Her husband, engrossed in a phone call, had wandered into a men's clothing store. I couldn't contain my emotions and asked her how she was, if everything in her life was going well. She responded with a simple nod, tears glistening in both our eyes. The weight of unspoken words hung heavy between us, and I couldn't help but express my regret that she had never confided in me before making those life-altering decisions. I assured her that I would have moved mountains to be with her, to keep her by my side. She offered a heartfelt apology, explaining that at that point in time, she couldn't bring herself to go against her family's wishes. She emphasized that her life had been turned upside down too.

In a poignant moment, she reminded me of our names, NirVani, and how it meant 'Without Vani.' She professed her enduring love for me, saying, 'I love you, Nir, I love you till my last breath.' She urged me to think about moving forward and settling down. Her voice cracked as she confessed that even now, her heart longed to abandon everything and run away with me. However, societal norms and the need for respect had kept her bound. Tears welled up in my eyes as I asked her how she could forget me and make such a life-altering decision. I wondered what would become of my life now. After a pause, I admitted that I couldn't find happiness anymore; I would simply exist. I couldn't bring myself to say that she was the reason, as my love for her had always been wholehearted. I yearned for her to be with me in every life to come, and I questioned if she would love me in our next reincarnation.

she implored me to move on and start a new life by getting married. I knew I had to leave the country soon, and I wished for her to find lifelong happiness. In that moment, her husband returned, and without a word, I turned and left, vowing never to show my face to her again.

Nir's heartfelt confession weighed heavily on my heart, and I couldn't help but feel a profound sadness for him. He wiped away his tears and lamented how different our lives might have been if she had chosen him. Despite achieving academic success with a PhD and a successful career, he confessed to carrying a persistent void within him. The fear of doing injustice to someone by marrying without his heart being fully committed left him in a state of uncertainty. It was evident that his love for her still held a deep place in his heart.

Listening to Nir's story left me deeply moved and saddened by the twists and turns that love and life can take. It was a stark reminder that some love stories, despite deserving a better outcome, end up in painful situations. As we approached our destination, Pokhara, a somber silence enveloped us. With a heavy heart, I told Nir that life had its way of unfolding, even when it seemed unjust. Nir managed a smile, and after a couple of minutes, our journey came to an end.

Expressing his gratitude, Nir acknowledged that I had been a good listener, and it seemed to provide him with some solace. He bid me farewell, saying, 'You are a good listener, brother. I feel much lighter now. Thank you so much.' I asked for his contact details, but he simply stated that he would be available at Lakeside whenever he will be in Nepal and left without providing any means of contact.

As we parted ways, the bittersweet reality of love's complexities lingered in the air, a poignant reminder of how love, despite its depth and intensity, could lead us down paths we never expected.

Research & Collaboration

Let’s explore what engineering can become.

Connect for research collaboration, civil-engineering innovation, mentoring and multidisciplinary projects.