Md Sabbir Hossen

AI/ML Engineer | Smart Energy, EV Charging & Battery Analytics

Md Sabbir
Hossen

Reinforcement learning that cuts EV charging costs, stabilizes the grid, and gives second-life batteries a second life.

MEngSc Researcher, Multimedia University — 48 publications · h-index 6 · Cyberjaya, Malaysia

About

I'm a postgraduate researcher at Multimedia University, Cyberjaya, working at the intersection of artificial intelligence and power infrastructure. My work integrates reinforcement learning, optimization, and data-driven diagnostics to solve real problems in electric vehicle charging, second-life battery reuse, and smart grid operation — most of it validated against real OCPP charging data and real Malaysian grid datasets rather than pure simulation.

Across 48 publications — 29 as first author — I've worked on tariff-aware and carbon-aware RL scheduling, physics-informed battery health estimation, federated learning for privacy-preserving smart cities, and anomaly detection for multi-station charging networks, published in venues including Energy Reports, Scientific Reports, IEEE Access, and Batteries.

Education

  • M.Eng.Sc. (By Research)
    Multimedia University, Malaysia
    Nov 2024 — May 2026
  • B.Sc. Computer Science & Engineering
    North Western University, Bangladesh
    2016 — 2022
  • Diploma, Computer Science & Technology
    Jessore Polytechnic Institute, Bangladesh
    2009 — 2013

Four threads, one energy system

01 / EV CHARGING

EV Charging Intelligence

OCPP-integrated reinforcement learning for scheduling, forecasting, and anomaly detection across multi-station charging networks.

02 / BATTERIES

Second-Life Battery Systems

Physics-informed, explainable state-of-health estimation and reuse pathways for retired EV batteries under sparse cycling data.

03 / GRID

Smart Grid & Carbon Optimization

Tariff-aware and carbon-aware scheduling that keeps charging networks grid-stable while cutting operational emissions.

04 / AI METHODS

Federated & Explainable AI

Privacy-preserving federated learning and explainable models for trustworthy, scalable energy-system deployment.

Research Output

48
PUBLICATIONS
29
FIRST-AUTHOR
147
CITATIONS
6
H-INDEX
5
I10-INDEX

Selected first-author research

Energy Reports · 2026

Safe and Tariff-Aware Reinforcement Learning for EV Charging Using Real OCPP Data

Q1 IF 6.6
Vol. 16 · Art. 109498 view DOI →
Batteries · 2026

Physics-Informed and Explainable Machine Learning for State-of-Health Estimation of Second-Life Lithium-Ion Batteries Under Sparse Cycling

Q1 IF 6.3
Batteries view DOI →
Scientific Reports · 2026

OCPP Integrated Artificial Intelligence for Forecasting, Scheduling and Anomaly Detection in City-Scale Electric Vehicle Charging under Urban Tariffs

Q1 IF 4.9
Vol. 16 · Art. 19725 view DOI →
IEEE Access · 2026

AI-OCPP Framework for Smart and Safe EV Charging: Real-World Performance Evaluation

Q1 IF 4.2
IEEE Access view DOI →

All 48 papers, by author role

View as a dedicated page →
Safe and Tariff-Aware Reinforcement Learning for EV Charging Using Real OCPP Data
Energy Reports2026
Q1 IF 6.6
Physics-Informed and Explainable Machine Learning for State-of-Health Estimation of Second-Life Lithium-Ion Batteries Under Sparse Cycling
Batteries2026
Q1 IF 6.3
OCPP Integrated Artificial Intelligence for Forecasting, Scheduling and Anomaly Detection in City-Scale Electric Vehicle Charging under Urban Tariffs
Scientific Reports2026
Q1 IF 4.9
AI-OCPP Framework for Smart and Safe EV Charging: Real-World Performance Evaluation
IEEE Access2026
Q1 IF 4.2
Real-World Tariff-Aware Safe Reinforcement Learning for Grid-Stable OCPP EV Charging Networks
IEEE Access2026
Q1 IF 4.2
An Anomaly-Aware, Q-Learning Framework for Real-Time Scheduling in Multi-Station EV Charging Networks
Electronics2026
Q2 IF 2.9
Quantifying Carbon Emission Reduction from Carbon-Aware Electric Vehicle Charging in Distribution Power Networks
Carbon Research2026
Q1
Techno-Economic and Environmental Evaluation of Second-Life Battery PV Hybrid Charging Stations for Sustainable E-Mobility in Tropical Regions CO-AUTHOR
Scientific Reports2026
Q1 IF 4.9
A Hybrid ANN–RF and IoT-Enabled Framework for Water Energy Optimization in Arid Smart Farming: Evidence from Saudi Arabia CO-AUTHOR
Smart Agricultural Technology2026
Q1 IF 7.1
AI-Driven Breast Cancer Nuclei Segmentation, Classification, and Scoring in PR-IHC Images CO-AUTHOR
Diagnostics2026
A Data-Driven Framework for Assessing Second-Life Electric Vehicle Batteries for Stationary Energy Storage Applications CO-AUTHOR
Energies2026
Experimental Multi-Metric Health Assessment of Second-Life Electric Vehicle Batteries for Reuse Pathway Classification
Batteries2026
An Integrated Machine Learning Framework for EV Charging Behavior Characterization and Anomaly Detection in Public Charging Infrastructure
Applied Sciences2026
A Sustainable Charging Session Index (SCSI): A Data-Driven Framework for Evaluating Electric Vehicle Charging Session Sustainability
Energies2026
Machine Learning for Chemotherapy Decision-Making in Breast Cancer Using Large Language Model CO-AUTHOR
Frontiers in Digital Health2026
Real-world tariff-aware safe reinforcement learning for grid-stable OCPP EV charging networks
IEEE Access2026
Techno economic and environmental evaluation of second life battery PV hybrid charging stations for sustainable e-mobility in tropical regions CO-AUTHOR
Scientific Reports 16 (1), 81952026
AI-OCPP Framework for smart and safe EV charging: real-world performance evaluation
IEEE Access2026
An Anomaly-Aware, Q-Learning Framework for Real-Time Scheduling in Multi-Station EV Charging Networks
Electronics 15 (11), 24942026
AI-driven breast cancer nuclei segmentation, classification, and scoring in PR-IHC images CO-AUTHOR
Diagnostics 16 (9), 12952026
Physics-Informed and Explainable Machine Learning for State-of-Health Estimation of Second-Life Lithium-Ion Batteries Under Sparse Cycling
Batteries 12 (5), 1492026
Quantifying carbon emission reduction from carbon-aware electric vehicle charging in distribution power networks
Carbon Research 5 (1), 432026
Safe and tariff-aware reinforcement learning for EV charging using real OCPP data
Energy Reports 16, 1094982026
A Data-Driven Framework for Assessing Second-Life Electric Vehicle Batteries for Stationary Energy Storage Applications CO-AUTHOR
Energies 19 (16), 38762026
Experimental Multi-Metric Health Assessment of Second-Life Electric Vehicle Batteries for Reuse Pathway Classification
Batteries 12 (7), 2652026
Physics-Informed Attention-Enhanced Reinforcement Learning for Safe and Explainable Fast Charging of Lithium-Ion Batteries CO-AUTHOR
Batteries 12 (9), 3232026
A battery health state index-driven digital twin framework for battery condition assessment and predictive maintenance in electric vehicle charging environments
Scientific Reports2026
An Integrated Machine Learning Framework for EV Charging Behavior Characterization and Anomaly Detection in Public Charging Infrastructure
Applied Sciences 16 (14), 72032026
AI-Driven Framework for Secure and Efficient Load Management in Multi-Station EV Charging Networks
World Electric Vehicle Journal2025
Q2 IF 3.3
Federated AI-OCPP Framework for Secure and Scalable EV Charging in Smart Cities
Urban Science2025
Q1 IF 3.2
Integration of AI-Driven Systems with Open Charge Point Protocol (OCPP) for Enhanced Electric Vehicle Charging Management
IEEE MECON2025
Performance Optimization of Grounding System for Multi-Voltage Electrical Installation CO-AUTHOR
Applied Sciences2025
Q2 IF 2.9
AI-Driven Smart Grid Optimization for Hospital Energy Systems Integrating Renewable Generation, Predictive Maintenance, and Resilient Infrastructure CO-AUTHOR
Scientific Reports2025
Q1 IF 4.9
Hybrid Deep Learning Framework for Multi-Class Breast Cancer Scoring Using Grad-CAM++ CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT)2025
Artificial Intelligence for Sustainable EV Charging: Integrated Forecasting, Anomaly Detection, and Scheduling in Smart Grids
Preprint2025
Real-Time Nuclei Classification and Allred Scoring in PR-IHC Stained Breast Cancer Histopathology Images CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT)2025
OCPP-Integrated AI for City-Scale EV Charging: Forecasting, Fair Scheduling, and Anomaly Detection Under Urban Tariffs
Preprint2025
Travelling Salesman Problem in the Classical to Quantum Era: A Comparative Review of Algorithms and Computational Complexity CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT)2025
AI-driven framework for secure and efficient load management in multi-station EV charging networks
World Electric Vehicle Journal 16 (7), 3702025
Federated AI-OCPP framework for secure and scalable EV charging in smart cities
Urban Science 9 (9), 3632025
AI-driven smart grid optimization for hospital energy systems integrating renewable generation, predictive maintenance, and resilient infrastructure CO-AUTHOR
Scientific reports 15 (1), 447872025
Performance optimization of grounding system for multi-voltage electrical installation CO-AUTHOR
Applied Sciences 15 (15), 86002025
Hybrid deep learning framework for multi-class breast cancer scoring using Grad-CAM++ CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT), 257-2642025
Artificial intelligence for sustainable EV charging: Integrated forecasting, anomaly detection, and scheduling in smart grids
Anomaly Detection, and Scheduling in Smart Grids2025
Real-time nuclei classification and Allred scoring in PR-IHC stained breast cancer histopathology images CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT), 707-7142025
OCPP-integrated AI for city-scale EV charging: Forecasting, fair scheduling, and anomaly detection under urban tariffs
Siow, OCPP-Integrated AI for City-Scale EV Charging: Forecasting, Fair …2025
Travelling salesman problem in the classical to quantum era: A comparative review of algorithms and computational complexity CO-AUTHOR
2025 9th International Conference on Information Technology (InCIT), 243-2502025
Integration of AI-Driven Systems with Open Charge Point Protocol (OCPP) for Enhanced Electric Vehicle Charging Management
2025 Multimedia University Engineering Conference (MECON), 1-62025

Experience & Leadership

Postgraduate Researcher

Multimedia University
Nov 2024 — May 2026
  • Developed reinforcement learning models (PPO, Q-Learning) for EV charging and smart grid optimization, achieving 25–40% peak-load reduction and ~30% energy-cost savings.
  • Designed multi-station OCPP simulation environments using real Malaysian charging datasets.
  • Built forecasting models with LSTM, GRU, XGBoost, and Prophet for charging-demand prediction.
  • Ran carbon-aware optimization studies and investigated second-life EV battery integration for grid support.
  • Developed federated learning frameworks for privacy-preserving smart energy systems.

Research Team Leader

AI-OCPP Smart Charging Project
Nov 2024 — Mar 2026
  • Led interdisciplinary research activities in AI-driven EV charging and smart grid optimization.
  • Coordinated model development, experimentation, manuscript preparation, and publication activities.

Applied systems, not just papers

AI-Driven OCPP Framework for EV Charging

2025
  • Optimized charging across 6 stations under an 80 kW grid constraint
  • Reduced peak demand and improved grid stability with RL-based scheduling

Federated AI-OCPP Network for Smart Cities

2025
  • Designed a distributed learning system for scalable EV infrastructure
  • Enhanced privacy and resilience in smart energy networks

Second-Life Battery Integration for Smart Grids

2025
  • Investigated reuse of EV batteries for stationary energy storage
  • Modeled sustainable storage with AI-driven optimization

Student Mentorship

  • Feasibility Study on Second-Life Electric Vehicle Batteries for Photovoltaic Energy Storage Systems — Bachelor FYP, 2026
  • Quantifying the Environmental Value of Second-Life EV Batteries Through Green Cost Modelling — Bachelor FYP, 2026

Awards & Academic Service

  • Gold Medal — Innovation Exhibition, AI-Driven Sustainable Energy System Research2025
  • Silver Medal — iNVENTX International Innovation Competition2026
  • Bronze Medal — iNVENTX International Innovation Competition2026
  • Silver Medal — iNVENTX International Innovation Competition2025
  • 3MT Competition Participant, Multimedia University
  • Invited Reviewer — IEEE MECON, artificial intelligence & smart energy systems2026

Contact

Open to research collaboration and industry partnerships in AI-driven energy systems.

Phone+60-1123217431
  • Prof. Dr. Gobbi Ramasamy

    Professor, Faculty of Artificial Intelligence and Engineering, MMU — Principal Research Supervisor
    gobbi@mmu.edu.my
  • Dr. Ngu Eng Eng

    Senior Lecturer, Faculty of Artificial Intelligence and Engineering, MMU — Co-Supervisor & Research Collaborator
    eengu@mmu.edu.my