Supercomputing and Cloud Computing

Biography

Manil Maskey is a Senior Research Scientist with the National Aeronautics and Space Administration (NASA). He also leads the Advanced Concepts team, within the Inter Agency Implementation and Advanced Concepts at the Marshall Space Flight Center and Science Mission Directorate’s Artificial Intelligence initiative at NASA HQ.  His research interests include computer vision, visualization, knowledge discovery, cloud computing, and data analytics. Dr. Maskey's career spans over 21 years in academia, industry, and government. Dr. Maskey is an adjunct faculty at the UAH Atmospheric Science department, a senior member of Institute of Electrical and Electronics Engineers (IEEE), chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Earth Science Informatics Technical Committee, member of American Geophysical Union (AGU) and AGU Fall Meeting Planning Committee, member of European Geosciences Union (EGU), and member of Association for Advancement of Artificial Intelligence (AAAI).

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Biography

Muthukumaran Ramasubramanian received the M.S. degree incomputer science from the University of Alabama in Huntsville (UAH), where heis currently pursuing the Doctorate degree in computer science. He is also aComputer Science Researcher and leads the Machine Learning Team forNASA–Interagency Implementation and Advanced Concepts Team, UAH. His workfocuses on using deep-NLP techniques to surface novel relationships from largecorpora of text and to deploy deep learning solutions to detecting earthscience phenomena on a global scale. His research interests include machinelearning, big data, computer vision, and scalable cloud services.

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Biography

Iksha Gurung is a Computer Scientist working with University of Alabama in Huntsville, supporting National Aeronautics and Space Administration Inter-Agency Implementation of Advanced Concepts Team (NASA-IMPACT). He leads the development and machine learning team in NASA-IMPACT.  His projects include applying machine learning to Earth science phenomena studies and scaling the solutions to production.

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Biography

Dr. Sujit Roy works as a Computer Scientist Level VI at NASA’s Interagency Implementation and Advanced Concept Teams (IMPACT), where he leads the development of foundational models for analyzing satellite imagery and enhancing weather forecasting, resulting in practical multiple scientific applications. Prior to his tenure at NASA IMPACT, Dr. Roy contributed to the field of Explainable AI at the University of Manchester. He received his PhD in Computer Science from Ulster University in collaboration with the Indian Institute of Technology Kanpur, India. In his PhD, he contributed to the domain of Computational Neuroscience by developing algorithms for Advancing MEG- and EEG-Based Decoding of Motor Imagery for Practical Brain-Computer Interfaces. He has experience of 10 years in Research and Development in the field of machine learning and deep learning. He is also a Co-founder of BrainAlive Research Pvt Ltd. His professional repertoire spans deep learning, brain-computer interfaces, and image processing. Dr. Roy is particularly focused on advancing computer vision, video/image processing, explainable artificial intelligence, signal processing/synthesis, and reinforcement learning.

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