Akash Samanta
Ai Researcher @Huawei Digital Power
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WORK HISTORY
Ai Researcher @Huawei Digital Power
Toronto, ON, CA
Large-scale renewable integration and edge-AI deployment, AI-based forecasting, energy optimization, battery state estimation, fault prognosis, and real-time control
EDUCATION
University of Calcutta
Master of Technology - MTech, Smart Grid Systems
Indian Institute of Social Welfare and Business Management
MBA, Energy Management
West Bengal University of Technology, Kolkata
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering
Ontario Tech University
Doctor of Philosophy - PhD, Electrical, Computer and Software Engineering
ABOUT AKASH SAMANTA
I am an AI Researcher at Huawei Smart Grid Lab (via Tundra Technical Solutions), contributing to cutting-edge R&D in smart grid systems, battery intelligence, and digital-twin-enabled energy solutions. My work focuses on developing AI/ML-driven predictive modeling, forecasting, and real-time optimization frameworks for renewable integration, advanced energy storage, and electric mobility applications.I hold a Ph.D. in Electrical, Computer, and Software Engineering from Ontario Tech University, Canada, where I received two of the nation’s highest academic distinctions: Governor General’s Gold Medal — Canada’s most prestigious academic award 2025 Outstanding Doctoral Thesis AwardWith over a decade of combined academic and industrial R&D experience, I specialize in bridging theoretical innovation with real-world implementation, designing intelligent systems that enhance safety, efficiency, and sustainability across modern energy infrastructures.My research and professional interests center on edge-AI, digital twins, and physics-informed machine learning for next-generation energy systems, battery management, and grid optimization. I have authored 50+ peer-reviewed publications in leading journals Elsevier, Springer, ASME) and delivered 25+ invited tutorials and special sessions at major conferences (APEC, ECCE, IECON, ISIE, SPEC).I am passionate about translating research into industrial impact, developing robust algorithms and architectures that empower sustainable electrification and intelligent energy management. Core ExpertiseDigital Twin Systems | Edge AI | Battery Intelligence | Physics-Informed ML | Energy Forecasting | Smart Grid Control | BMS & Thermal Safety Tools & TechnologiesPython | MATLAB/Simulink | EMTP | Typhoon HIL | RTDS | TRNSYS | SAM | C | mikroC Highlights– Governor General’s Gold Medal (Canada’s highest academic distinction)– 2025 Outstanding Doctoral Thesis Award– 30+ National & International Awards– 50+ Research Publications, 3 Books and 3 Book Chapters– U.S. Patent Filed on AI-Enabled Digital Twin BMS– Recipient of NSERC, Mitacs, and Industry R&D Grants
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