Maloy Kumar Devnath
About
Maloy Kumar Devnath is a Postdoctoral Research Associate at the University of Maryland, Baltimore County (UMBC). He received his Ph.D. in Information Systems with a focus on Geospatial Data Science from UMBC. His research lies at the intersection of machine learning, spatio-temporal data analytics, and environmental monitoring, with applications in understanding Antarctic sea ice dynamics and large-scale geospatial phenomena.His work has been published in leading venues such as ACM SIGSPATIAL and Environmental Data Science. He has experience in developing scalable and energy-efficient data-driven models, with a focus on extracting insights from complex, high-dimensional datasets.
In addition to his geospatial research, he is expanding into applied artificial intelligence, including audio deepfake detection and deployment of machine learning models through web and mobile platforms. He has teaching experience in database systems and actively mentors undergraduate students in AI-driven projects. His research aims to bridge theory and practice by developing impactful, real-world data science solutions.
Research interests
Geospatial Data Science, Spatio-temporal Modeling, Machine Learning and Deep Learning, Environmental and Climate Data Analytics, AI for Science, Audio Deepfake Detection, and Scalable, Energy-Efficient Data Systems.Teaching interests
Database Systems, Data Science, Machine Learning, Artificial Intelligence, Data Mining, Geospatial Data Analytics, Programming (Java, Python), Data Structures and Algorithms, Software Engineering, Big Data Systems, and Applied Data Science.Education
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Ph D, Machine Learning/ Data Science
— University of Maryland, Baltimore County (2025) Exploring the Relationship Between Sea Ice Retreat and Ice Sheet Melting in the Antarctic
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BS, Computer Science and Engineering
— Bangladesh University of Engineering and Technology (2017) Secured Channel Graphs for Message Transmission