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Bed Prakash Das is a Postdoctoral Research Fellow at the School of Electronics and Computer Science at the University of Southampton, United Kingdom, contributing to the European Horizon project ETHEREAL. His research focuses on brain connectivity estimation through multimodal biosignal integration, involving EEG and fNIRS along with core development in AI/ML driven analysis and causal modeling for adolescents with Autism Spectrum Disorder (ASD). He holds a Ph.D. in Electrical Engineering from the University of Calcutta, where his doctoral research explored Kalman filter variants for indoor thermal environment modeling with uncertain inputs. His academic journey includes an M.Tech. in Instrumentation and Control Engineering and a B.Tech. in the same field, graduating with distinction. Dr. Das has eight years of academic research experience, previously taking roles as an Assistant Professor and Senior Research Fellow with competitive government fellowships. He has led and contributed to multiple state-funded research projects, focusing on intelligent system design, real-time estimation, embedded systems, and sensor-integrated hardware for environmental monitoring and energy efficiency. His work has resulted in publications in respected journals including IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Instrumentation and Measurement. He received the Paper Award at IEEE IBSSC 2022 and has earned prestigious research fellowships from the Council of Scientific and Industrial Research and the Department of Science and Technology in Government of West Bengal. With strong expertise in MATLAB, Python, C/C++, and microcontroller-based systems, Dr. Das has an interdisciplinary background in estimation theory, AI/ML applications, and control systems. He has supervised undergraduate and graduate research projects, delivered courses in electrical instrumentation engineering, and is passionate about mentoring the next generation of researchers. Dr. Das is committed to advancing impactful interdisciplinary research at the intersection of signal processing, intelligent systems, and biomedical applications.