Emerging Technology for Sustainable Development

Jatindra Kumar Deka received a Ph.D. degree in computer science from IIT Kharagpur, India, in 2001. He is currently a Professor at the Department of Computer Science and Engineering, IIT Guwahati, India. He is involved in academic as well as industry-sponsored research related to VLSI testing and design for testability. He has authored over 50 research papers. His research interests include formal modeling and verification, CAD for VLSI and embedded systems, and data mining. His publications involved topics including fault diagnosis, integrated circuit testing, logic testing, network-on-chip, integrated circuit reliability, automatic test pattern generation, built-in self-test, logic circuits, logic design, logic gates, low-power electronics, quantum gates, scheduling,system-on-chip, VLSI, benchmark testing, circuit testing, computer-aided instruction, design for testability, electronic engineering computing, failure analysis, fault location, fault tolerance, fault-tolerant computing, integrated circuit design, etc. P. S. Robi completed his Ph.D. from the Department of Metallurgical Engineering and Materials Science in 1995. He joined IIT Guwahati as an Assistant Professor in the Department of Mechanical Engineering in 1997. He served IIT Guwahati in various capacities, viz., Head, Department of Mechanical Engineering, Dean (Research and Development and presently serving as Deputy Director. He's actively involved in teaching undergraduate and post-graduate courses related to Materials and Manufacturing. His research interest is materials development and manufacturing. His areas of specialization include the development of micro-alloyed aluminum alloys, creep studies of high-temperature alloys, thin-strip casting technology, powder metallurgy, smart materials, deformation mechanism maps, etc. He has published around 60 papers in international journals and conference proceedings. He has completed 13 research projects. He has supervised 6 Ph.D. theses and 32 M.Tech theses and presently supervising 7 Ph.D. theses.Bobby Sharma had completed her B.E. in Computer Science and Engineering, a Master's degree in Information Technology, and Ph.D. in Computer Science and Engineering. She is currently serving as Associate Professor and Head of the Department of Computer Science and Engineering, School of Technology, Assam Don Bosco University. Before that, Dr. Sharma was associated with Dibrugarh University. She has more than 45 publications in journals and conference proceedings in computer networks, artificial intelligence, network security, machine learning, IoT, network security, compiler design, data science, etc. She has been involved with nine research projects and several innovation activities. Currently, she is guiding six Ph.D. research scholars in the stream of Computer Science and Engineering.

• Design of Modern Technology Lighting System for Automobiles.- A review of materials suitable for tissue-engineered bone scaffolds.- Conceptualization, design and development of a pedal propelled vehicle to collect and dispose residential solid waste.- Experimental Study on Low Cost and Light Weight Building Materials Developed using Waste Materials.- A Study on Square and Rectangular Hollow Steel Section Subjected to Torsion.- Utilization of Reclaimed Asphalt Pavement (RAP) and use of plastic waste in road construction: Literature review.- Utilizing Plastic Waste in Construction Materials: A review.- Analysis of seismic forces for earthquake resistant constructions.- Analysis and ANN Modelling of Water Quality of Ramsar Site of Assam.- Determination of optimum K value for K-means Segmentation of Diseased Tea Leaf images.- Recent Advancement and Challenges of Deep Learning for Breast Mass Classification from Mammogram Images.- A Machine Learning Approach to Winter Load Forecasting in the State of Meghalaya in India.- Improved detection of large-sized pedestrians using non-linear scale space and combination of HOG and dense LDB features.- Cyber Threat Detection using Machine Learning.- Medicinal Plant Classification using Neural Networks.- Blockchain based Marketplace for Farmers using PERUN Payment System.- Sentiment Analysis on Covid19 Tweets: Machine Learning Approach.- Utilising Greenhouse Technology Towards Sustainable Agriculture Using IoT “TechFarm”.- Modeling and Simulation of successful signal transmission without information loss in axon.- Proximity Coupled Planar MIMO Antenna for LTE-46/LTE-U bands of Sub-6 GHz.- Determination of crop suitability based on soil pH using Image processing and ANN.