Sustainability and Health Informatics

Dr. Gaurav Tripathi is an assistant professor at the Department of Geoinformatics, School of Basics and Applied Sciences, Shobhit University, Meerut, India. Previously, he worked with the Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur, India. He completed his post-graduate diploma in geo-information science and earth observation with a specialization in geo-informatics from the International Institute for Geo-Information Science and Earth Observation (ITC) Netherlands/University of TWENTE and the Indian Institute of Remote Sensing, Indian Space Research Organization (ISRO), Dehradun. He has published 16 journal articles, 12 book chapters, 2 IEEE conference papers, 1 edited book, and 4 patents. He presented research papers at various national and international conferences. He has more than 7 years of research experience in geoinformatics and its application area. He was also involved in the NASA-ISRO Synthetic Aperture Radar Mission (NISAR) project. His research interests include atmospheric remote sensing, satellite navigation, disaster management, synthetic aperture radar (SAR), InSAR, DInSAR, SAR polarimetry, interferometry, tomography, information theory, and retrieval modeling. Dr. Achala Shakya is an assistant professor at the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Prior to that, she was associated with the Computer Science and Engineering Department at Sharda University, Greater Noida (U.P.), India. She was awarded a Ph.D. from the Computer Engineering Department at the National Institute of Technology Kurukshetra. She was also associated with the NASA-ISRO Synthetic Aperture Radar Mission (NISAR) project under the project entitled “Fusion of SAR and optical data for advance LULC classification”. She has completed a pilot project entitled “Kernel-based Noise Clustering Fuzzy Classification” at the Indian Institute of Remote Sensing, Dehradun. She has more than 4 years of research and 3 years of teaching experience. She has published 11 research articles, 5 book chapters, 2 IEEE conference papers, 1 edited book, and 4 patents. She presented research papers at various national and international conferences. For the last three years, she has been continuously serving as the brand ambassador and proctor of the IEEE Programming Competition. She had also edited a textbook entitled “Linear Programming”. She is working in the fields of image fusion and segmentation, optical, radar, and hyperspectral remote sensing, deep learning, machine learning, natural language processing, information retrieval, and web development.

Climate Change, Health, and Health Informatics.- Climate Change Impacts on Health in Remote Indigenous Community: A Case of Great Andamanese Community in Andaman Islands, India.- Environmental Sustainability and Its Impact on Public Health.- The Role of Health Informatics in Achieving Sustainable Development Goals.-I ntegrating Ethics and Social Responsibility in Health Informatics.- Introduction to Health Informatics (HI): Enhancing Healthcare through Information Technology.- Evaluating the Influence of Haryana's Air Quality on Public Health: A Geospatial Approach.- Food Security through Sustainable Agriculture: A Prospective Study in the Indian Context.- Environmental Sustainability and its impact on Public Health in Ladakh-India.- Sustainable Agriculture and Food Security in India.- Assessing interdependency of Climate change and Food Security: An Overview.- Environmental Drivers of Vector-Borne Disease Utilizing Geospatial Techniques in Jaipur.- Health informatics: an emerging strategy for clinical care.- Telemedicine: an information strategy for health.- Cryptanalysis and Improvement of Rifaqat Ali et al.'s Scheme on Wireless Sensor Networks for Agriculture Monitoring.- Climate Change and Desert Dust Storms Induced Public Health Impacts on Rural Inhabitants of Western India.- Therapeutic Potential of Natural Pharmacological Agents (Flavonoids and Other Phenolic Compounds) Found in Plants.- Predicting Parkinson disease using analytical algorithm: A Review.