Postdoctoral Research Fellow | University of Southampton

Dr. Bed Prakash Das

Intelligent System Modeling and estimation | AI/ML in Computational Neuroscience

University of Southampton & School of Electronics and Computer Science

EU Horizon Project: ETHEREAL

Research expertise includes Kalman filter variants driven system estimation, EEG and fNIRS based multimodal signal integration, and functional brain connectivity estimation. Active contribution as Postdoctoral Research Fellow to the European Council funded Project ETHEREAL in AI-driven digital health research.

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8+

Years Teaching

6+

Years Research

8+

Publications

2+

Research Grants

Dr. Bed Prakash Das

Academic Journey & Career Timeline

From Engineering Foundations to Postdoctoral Research in AI and Neuroscience

2024-2026

Postdoctoral Research Fellow

University of Southampton, UK

Leading AI/ML research for the European Horizon Project ETHEREAL, focusing on brain connectivity estimation using multi-modal data (EEG, fNIRS).

2020-2024

PhD in Electrical Engineering

University of Calcutta, India

Thesis: "Application of Kalman filter variants for indoor thermal environment modelling and estimation with unknown inputs." Awarded in April, 2025.

2018-2023

Teaching & Research Fellow

Multiple Institutions, India

Teaching Assistant at University of Calcutta, Senior Research Fellow at CSIR, and Research Fellow at DST-WB. Published multiple IEEE papers and supervised students.

2013-2016

M.Tech in Instrumentation & Control Engineering

University of Calcutta, India

Graduated with Distinction (CGPA 7.9). Thesis: "Development of ECG Compression Algorithm using Huffman Coding and its hardware realization."

2007-2011

B.Tech in Instrumentation & Control Engineering

West Bengal University of Technology, India

Graduated with Distinction (DGPA 8.15). Project: "Comparative study of PID and Fuzzy Logic Controllers." Foundation for control systems expertise.

System Modelling & Estimation

Multimodal Brain Network Analysis

EEG-fNIRS FUSION
BRAIN NETWORK
EEG SIGNAL
fNIRS SIGNAL
KALMAN FILTER
EKF
UKF
CAUSAL AI
NONLINEAR
ADAPTIVE

Research Expertise

System Modelling & Estimation

Kalman Filter Variants for Dynamic Systems

EKF UKF State Estimation Unknown Inputs

Nonlinear System Dynamics

Uncertainty-Aware Modelling & Estimation

Nonlinear Systems Uncertainty Modelling Adaptive Estimation

Computational Neuroscience

EEG–fNIRS driven Multimodal Brain Network Analysis

EEG fNIRS Brain Networks Multimodal Processing

AI-Driven Intelligent Systems

Causal, Explainable & Cognitive AI Models

Causal AI Explainable AI Cognitive Classification Optimization

Professional Experience

8+ years of research and teaching experience

Postdoctoral Research Fellow

University of Southampton, UK

Sep 2024 – Present

  • Key contributor to European Horizon Project ETHEREAL
  • Brain connectivity estimation using multi-modal data (EEG, fNIRS, ECG)
  • Developing AI/ML frameworks for autonomous systems
  • Fostered interdisciplinary collaboration in engineering, neuroscience, and computational modelling

Senior Research Fellow

CSIR, India

Jun 2021 – Sep 2023

  • Led projects funded by CSIR, India
  • Published in high-impact IEEE journals
  • Supervised junior researchers and contributed to proposal writing
  • Delivered technical lectures for research groups

Senior & Junior Research Fellow

Department of Science and Technology (DST-WB), India

Aug 2018 – May 2021

  • Developed Kalman filter variants for nonlinear system estimation
  • Generated multiple peer-reviewed publications
  • Mentored early-career researchers on intelligent system data analysis

Awards & Recognition

Best Research Paper Award

IEEE Bombay Section Signature Conference (IBSSC 2022)

Excellence in Research

CSIR-DIRECT Fellowship

Council of Scientific and Industrial Research, Govt. of India (2021–2023)

Prestigious Fellowship

Research Fellowships

Junior & Senior Research Fellowships, DST, Govt. of West Bengal (2018–2021)

Research Funding

IEEE Member

Professional Member of Institute of Electrical and Electronics Engineers

Professional Body

Selected Publications

Time-varying Unknown Input Constrained UKF with Unbiased Minimum Variance Estimator

2025

IEEE Transactions on Instrumentation & Measurement

DOI: 10.1109/TIM.2025.3606059

Kalman Filter State Estimation UKF

Dynamic Nonlinear Indoor Environment Thermal State Estimation Using PSO Guided Adaptive EKF

2024

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3354930

EKF PSO Thermal Estimation

PSO-guided optimal estimator enabled regularized adaptive EKF for nonlinear indoor thermal estimation

2024

Journal of Building Performance Simulation

DOI: 10.1080/19401493.2024.2324814

Adaptive EKF Optimization Nonlinear Systems
View all publications

Get In Touch

Open to research collaborations, speaking opportunities, and academic exchanges

Contact Details

Email

bedprakash.ice@gmail.com

Phone

+44-7587754462

+91-9434575414

Location

University of Southampton

School of Electronics and Computer Science

SO17 1BJ, United Kingdom

Academic Profiles

LinkedIn ORCID Scholar ResearchGate

UK Global Talent Visa

Status Active

Holder of UK Global Talent Visa

Valid From 18 Sep 2024
Valid Until 20 Oct 2026

Eligible to work and conduct research in the United Kingdom