Dr. Alwin Poulose was born in Manjapra, Kerala, India, in 1992. He received a B.Sc. degree in computer maintenance and electronics from the Union Christian College, Aluva, Kerala, India, in 2012, an M.Sc. degree in electronics from the MES College Marampally, Kerala, India, in 2014, an M. Tech degree in communication systems from Christ University, Bangalore, India in 2017, and the Ph.D. degree in electronics and electrical engineering from Kyungpook National University, Daegu, South Korea in 2021. From 2021 to 2022, he was a researcher at the Center for ICT & Automobile Convergence (CITAC), Kyungpook National University, where he developed a localization and mapping system for autonomous vehicles. His research interests include localization, human activity recognition, facial emotion recognition, and human behavior prediction. He is a reviewer of prominent engineering and science international journals and has served as a technical program committee member/session chairing at several international conferences. He was a research fellow at the department of electrical and computer engineering, University of Michigan, Dearborn, United States, from 11/2022 to 12/2022. He is currently an Assistant Professor at the School of Data Science, Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, Kerala, India, since January 2023.

Anjali Jain earned her master’s degree in Mathematics and Computing from Banaras Hindu University (BHU), where she specialized in Deep Learning, Machine Learning, Statistics, Data Visualization, and Optimization techniques for data analysis and computational tasks. Her master’s thesis, titled “Brain Tumor MRI Images: Segmentation and Classification,” delves into the segmentation and classification of brain tumor MRI images using advanced techniques such as Generative Adversarial Networks (GANs), transformers, CNN models, and transfer learning. During her academic journey, she participated in a government-funded internship (SRFP-CSTUP) at IIIT Allahabad under the supervision of Prof. Manish Kumar. Her research during this internship focused on a “Comparative Study on Machine Learning Classifiers,” where she analyzed two distinct datasets—one from healthcare and another from agriculture. In addition to her formal education, she completed an online internship with The Sparks Foundation, where she honed her data analysis and visualization skills by working on classification and regression projects. She is passionate about addressing complex challenges in medical image analysis and is committed to leveraging machine learning to drive significant advancements in healthcare.

Devika Suresh R. holds a Bachelor’s degree in Mathematics from Government College Ambalappuzha, Alappuzha, Kerala, and a Master’s degree in Computer Applications (MCA) from Amrita Vishwa Vidyapeetham. She qualified the UGC-NET Junior Research Fellowship (JRF) in Computer Applications, reflecting her strong academic foundation in Computer Science. Prior to joining the lab, she worked as an Assistant Professor in the Department of Computer Applications and Artificial Intelligence at Saintgits College of Applied Sciences, Kottayam, Kerala, where she taught courses including Machine Learning, Java Programming, Data Structures and Algorithms, and Computer Networks.

Her research interests include Machine Learning, Deep Learning, Computer Vision, and their applications across diverse domains. During her master’s program, she worked on developing a parallel algorithm for sorting by short swaps and gained hands-on experience through projects in machine learning and deep learning. She is passionate about developing trustworthy AI systems that can address real-world challenges and contribute to advancements in healthcare through human-centered AI.

Parvathi V. holds an M.Tech in Data Science and Analytics from Cochin University of Science and Technology (CUSAT) and a B.Tech in Electronics and Communication Engineering from Malnad College of Engineering. After working as an Application Development Associate at Accenture, she transitioned into data science, driven by an interest in applying mathematics and engineering principles to solve complex real-world problems. 

As part of her research training, she completed an internship at the Naval Physical and Oceanographic Laboratory (NPOL), DRDO, where she investigated machine learning approaches for unmanned aerial vehicle (UAV) detection using acoustic signals. This work contributed to her master's thesis, which presents a comparative study of Sparse Representation-based Classification (SRC) and Hidden Markov Model (HMM) classifiers across multiple data modalities and operating conditions. She also collaborated with the Kochi City Police on a computer vision project that applied principles of fluid dynamics to analyze crowd movement and support crowd behavior prediction.

Her research interests include computer vision, pattern recognition, multimodal learning, human behavior understanding, and AI systems for real-world applications.