AI RESEARCHER — Cyberjaya, Malaysia

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 — 15 publications · h-index 6 · Cyberjaya, Malaysia

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 15 publications — 11 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.

15
PUBLICATIONS
11
FIRST-AUTHOR
118
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 14 papers, by author role

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 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
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
  • 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
  • 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

Open to research collaboration, PhD/postdoc opportunities, and industry partnerships in AI-driven energy systems.

+60-1123217431
Cyberjaya, Malaysia
  • Prof. Dr. Gobbi Ramasamy
    Professor, Faculty of Engineering & Technology, MMU — Principal Research Supervisor
    gobbi@mmu.edu.my
  • Dr. Ngu Eng Eng
    Senior Lecturer, Faculty of Engineering & Technology, MMU — Co-Supervisor & Research Collaborator
    eengu@mmu.edu.my