Virendra Kumar Goswami
Biography
Prof. (Dr.) Virendra Kumar Goswami is a distinguished academic, scientist, and administrator with over four decades of international experience in atmospheric science, space applications, and chemical technology. He holds a Ph.D. from IIT Kharagpur, an M.S. from the University of Wisconsin, USA, and a Postdoctoral Fellowship from the University of Illinois, Chicago. A former Wing Commander in the Indian Air Force, Dr. Goswami has held prominent academic leadership roles, including Vice-Chancellor of Sangam and Sunrise Universities and Director General of several engineering and management institutions across India.
He has served as a Visiting Scientist at leading global organizations such as NASA (NOAA), NCAR, UNIDO, WMO, and ICTP Italy, and contributed to international bodies like the ICAO and IPCC. A prolific researcher and author, he has presented over 265 scientific papers in 32 countries and holds editorial and reviewer roles with several international journals. He is also the Founder President of the Environment & Peace Foundation (EPF) and a practicing Advocate at the Supreme Court of India.
Dr. Goswami?s contributions have earned him multiple honors, including the Distinguished Alumnus Award from IIT Kharagpur (2023). His interdisciplinary research spans climate change, marine and atmospheric sciences, remote sensing, space technology, and environmental law. Currently, he continues his work as Professor Emeritus and Chair of Environment, Climate Change & Peace Research (ECPR) at BRAUSS and is actively involved in global academic and policy discourse.
Research Interest
In essence, Dr. Goswami?s expertise spans a broad, interdisciplinary spectrum?from atmospheric science and remote sensing to chemical processes and AI-driven environmental solutions?highlighting his role in advancing climate models, pollution remediation techniques, and sustainable technological innovations.
Abstract
?Role of Artificial Intelligence & Remote Sensing (AIRS) to Develop Sequestration Techniques to Control Marine Pollution Due to Micro-Plastics and Save Marine Ecosystems through Physicochemical Processes?
Marine pollution, particularly from micro-plastics, poses a severe threat to oceanic ecosystems and global environmental health. This study proposes a multidisciplinary framework that integrates Artificial Intelligence (AI) and Remote Sensing (RS) technologies to model and develop innovative sequestration techniques for mitigating micro-plastic contamination in marine environments.
By applying machine learning algorithms to satellite imagery and oceanographic data, the framework identifies pollution hotspots, predicts dispersal patterns, and monitors remediation progress in real time. The research further introduces novel physicochemical processes, including catalytic oxidation and adsorption strategies, to sequester and neutralize micro-plastics at the source.
The convergence of AI, RS, and chemical modeling not only enhances detection and response accuracy but also supports the formulation of sustainable policies for marine conservation. This approach has the potential to significantly advance global efforts in protecting marine biodiversity, ensuring clean oceans, and supporting the UN Sustainable Development Goals (SDGs), particularly SDG 14: Life Below Water.
