Nanyang Technological University, Singapore
Anik Naha Biswas is currently a Ph.D. candidate at Nanyang Technological University (NTU), Singapore, specializing in atmospheric science and weather forecasting. With a strong foundation in electronics, communication engineering, and machine learning, Anik focuses on developing advanced algorithms for rainfall prediction in tropical regions. He has published extensively in top-tier conferences and journals, contributing to the fields of remote sensing, GNSS technology, and climatology.
Profile
Scopus
Orcid
Education 🎓
Anik Naha Biswas is currently pursuing his Ph.D. in Electronics & Electrical Engineering at Nanyang Technological University (NTU), Singapore (2019 - 2024). His research focuses on developing innovative methods for rainfall forecasting, with a particular emphasis on utilizing atmospheric gradients in tropical regions. Anik's academic journey began with a strong foundation in electronics and communication. He earned his B.Tech degree in Electronics & Communication Engineering from the Institute of Engineering & Management, Kolkata, achieving a CGPA of 8.88/10. He further specialized in the field with an M.Tech in Microwave & Communication Engineering from the Indian Institute of Engineering Science and Technology, Shibpur (2017 - 2019), securing an impressive 82% in his coursework. Throughout his academic career, Anik has consistently demonstrated excellence, driven by a passion for leveraging technology to address real-world challenges in atmospheric science.
Experience & Projects 🛠️
RF Signal Area Coverage Prediction: In his recent work, Anik leveraged machine learning to predict the coverage of radio frequency (RF) signals in specific regions. By analyzing building maps and transmitter locations, he developed a model to enhance the accuracy of RF coverage predictions, which is crucial for optimizing wireless communication networks.
Rainfall Forecasting Using Atmospheric Gradient: As part of his Ph.D. research, Anik developed a long-term rainfall prediction algorithm using GPS-derived atmospheric gradients. This innovative approach is particularly focused on the tropical region, where predicting rainfall patterns is challenging. His work aims to provide more accurate forecasts, aiding in weather prediction and climate modeling.
Frequency Selective Surface Design: During his M.Tech studies, Anik designed specialized frequency-selective surfaces to enhance antenna gain and provide effective shielding. These designs included multi-layered structures that improved the performance of wideband antennas, showcasing his expertise in microwave engineering and antenna technology.
Through these projects, Anik has showcased his ability to blend theoretical research with practical applications, making significant contributions to wireless communication and atmospheric science.
Research Interests 🔍
Weather forecasting and climatology 🌦️
GNSS technology 🌍
Remote sensing and atmospheric science 🛰️
Wireless communication 📡
Awards & Achievements 🏆
National Scholarship for outstanding academic performance in Higher Secondary Examination
Qualified GATE with a rank of 4528 among 141,665 candidates
Best Audience Choice Award at NTU's EEE department’s 3MT competition
IELTS score: 7/9 and GRE score: 314
Publications 📚
Rainfall Forecasting Using GPS Derived Atmospheric Gradient and Residual for Tropical Region IEEE Transactions on Geoscience and Remote Sensing, 2021. Link
Comparative Study of Atmospheric Gradient Components in Relation to Rainfall Remote Sensing, Accepted for 2024. Link
Study of Temporal and Spatial Correlation of Precipitable Water Vapor with Rainfall Remote Sensing, 2022. Link