Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India
Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.
Professional Profile:
Summary of Suitability for the Best Researcher Award:
Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.
Education
He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.
Work Experience
From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.
Skills
Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.
Research Focus
His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.
Publication top Notes:
- Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
Year: 2018
Journal: Neurocomputing
Volume/Pages: 286, 179-192
- SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
Year: 2009
Journal: International Journal on Document Analysis and Recognition (IJDAR)
Volume/Pages: 12, 97-108
- Lecithin and Venom Haemolysis
Year: 1945
Journal: Nature
Volume/Pages: 155 (3945), 696-697
- A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
Year: 2005
Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
Pages: 30-30
- JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
Year: 2017
Journal: Pattern Recognition
Volume/Pages: 66, 160-173
- An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
Year: 2018
Journal: Information Sciences
Volume/Pages: 441, 133-151
- Pair-Copula Based Mixture Models and Their Application in Clustering
Year: 2014
Journal: Pattern Recognition
Volume/Pages: 47 (4), 1689-1697
- Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
Year: 2005
Journal: Proceedings of the 1st IAPR TC3 NNLDAR
- SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
Year: 2016
Journal: Pattern Analysis and Applications
Volume/Pages: 19, 631-645
- Headline Based Text Extraction from Outdoor Images
Year: Not specified (conference paper)
Journal: Pattern Recognition and Machine Intelligence: 4th International Conference