Md. Nafeez Rahman
PhD Candidate · IEEE Member Since 2012

Md. Nafeez Rahman

AI-Driven Battery Intelligence · Solar PV Design · Power Electronics
Ufa University of Science & Technology, Russia

Building the mind inside the battery — teaching machines, converters, and grid systems to anticipate energy needs before they arise. From Bangladesh to Sweden to Russia, one question drives everything: how do we make renewable energy reliably intelligent?

0Publications
0Patents
0IEEE Papers
0Year Span
0Countries
Scroll

The researcher who builds the mind inside the battery.

Md. Nafeez Rahman is a PhD candidate at Ufa University of Science and Technology (UUST), Russia, where he also serves as Head of the Servo Motor Laboratory under the Advanced Engineering School — Motors for the Future.

His research sits at the intersection of AI-driven battery management, solar PV infrastructure design, and precision power electronics. He is the creator of the NeuroBatt ecosystem — five Russian Federal patents covering battery classification, life prediction, and autonomous swarm energy management for UAV and robotic platforms.

A recipient of the Russian Government Scholarship twice consecutively (MSc 2022–2024, PhD 2024–2028), he graduated with the highest academic honour: a RED DIPLOM (97%). His 23 publications span IEEE, Scopus Q1, Springer Nature, and SPIE, across 9+ countries of publication.

The international arc — Bangladesh → Sweden → Russia → Global — is not incidental. It is the research strategy.

2024–2028
PhD — Electrotechnical Complexes & Systems
UUST, Ufa, Russia · Russian Govt. Scholarship · RED Scholar
2022–2024
MSc — Electrical & Power Engineering · RED DIPLOM (97%)
UUST, Ufa, Russia · Russian Govt. Scholarship
2010–2014
BSc — Electrical & Electronic Engineering (CGPA 3.51/4.00)
AIUB, Dhaka, Bangladesh
Dec 2025–Present
Editorial Board Member & Reviewer
Unconventional Resources Journal, Elsevier
Jan 2012–Present
IEEE Graduate Student Member (continuous)
14-year professional membership · pre-dates BSc graduation
Diplomas
Skoltech ML · Skolkovo R&D Management
Moscow, Russia · IEB Associate Member, Bangladesh

Five Research Themes

🧠

Teaching Machines to Understand Battery Health

Random Forest SoC prediction (MAE = 8.31%), NeuroBatt Classifier & Predictor, CNN-LSTM for temporal health modelling. The deepest and most patent-dense strand — bridging electrochemistry and edge AI.

RF Regressor CNN-LSTM NeuroBatt SoC/SoH
☀️

Solar Intelligence: From Parking Lot to Power Grid

150 kW DC PV station design at Ufa Airport; seasonal adaptive sizing (233 kWh summer / 200 kWh winter); techno-economic LCOE/NPV/IRR analysis. Designed for real infrastructure, not theory.

PV Design LCOE Seasonal Sizing Airport EV
🔋

Second Life, First Priority

RL agent for second-life EV battery grid buffering (reward converges –60 to –70 after 1000 episodes); ARIMA-SLSQP real-time dispatch; 60.7 t CO₂ saved per electric bus annually.

RL Dispatch ARIMA 2nd-Life BESS CO₂ Impact

Precision Power Electronics for the Electric Age

Phase-current balancing in multiphase DC converters (Scopus Q1); variable-input buck converter design; PLC for EV networks; HTS motor propulsion for electric aircraft. The mathematical foundation of everything above.

Multiphase DC Phase Balancing Aircraft Power Scopus Q1
🌍

Field-to-Formula: Real World to Academic Rigour

Rural Bangladesh net-zero hybrid systems; garment industry solar-diesel optimisation; Russian EV market policy review; early bioelectrochemistry — the biographical thread connecting where he comes from to what he solves.

Bangladesh Solar Rural Grids EV Policy Net-Zero

23 Peer-Reviewed Works

IEEE2026
Deep Neural Networks for Real-Time Battery Degradation Assessment and Classification
IEEE ICECIE 2026, Thailand · Rahman et al.
IEEE2026
Adaptive Battery Control in PV Systems using Deep Learning and Swarm Intelligence Algorithms
IEEE REPE 2026, China · Rahman et al.
SPIE2025
Artificial Intelligence in Solar Energy Integration for the Smart Grid: Progress, Possibilities, and Challenges
SPIE IVPAI 2025, Thailand · Rahman, Islam, Vavilov, Singh et al.
IEEE2025★ Most Cited
Dynamic Battery Storage Sizing for Solar Smart Grids: A Machine Learning Framework for Seasonal Demand Adaptation
IEEE ECAI 2025, Romania · DOI: 10.1109/ECAI65401.2025.11095461 · MAE = 8.31% · 233 kWh / 200 kWh
IEEE2025
Real-Time Energy Management in Microgrids Using ARIMA Price Forecasting and SLSQP Optimization
IEEE icSmartGrid 2025, UK · CNN-LSTM, XGBoost, Gradient Boosting, ARIMA, SLSQP · Training loss 1700→<100 in 50 epochs
IEEE2025
Dynamic Grid Buffering with Second-Life EV Batteries: A Reinforcement Learning Optimization Approach
IEEE GPECOM 2025, Germany · RL reward converges –60 to –70 after 1000 episodes
Springer2025
Evaluation of the Potential Grid Integration System for City Electric Buses at Ufa International Airport
Springer Nature — HEREM 2024, Singapore · 60.7 t CO₂/yr per bus · 86,000 t city-wide projection
IEEE2024
Designing of Solar Photovoltaic Parking Infrastructure at Ufa International Airport — A Case Study on EV Charging Potential
IEEE REPE 2024, China · 150 kW DC Solar PV Station Design
IEEE2024
Techno-economic Feasibility Analysis for EV Solar Charging Station at Ufa International Airport — A Comparative Case Study
IEEE ECAI 2024, Romania · CAPEX/OPEX/NPV/IRR comparative analysis
IEEE2024
Transition to Electric Vehicle Charging Station Market — A Review in Russian Context
IEEE ICAIGE 2024, Tunisia · Rahman, Musin
Scopus2024
Methods of Balancing Phase Currents in Multiphase Step-Down DC Converters
Russian Electrical Engineering, Springer Nature, Vol. 94, pp. 906–912 · Rahman, Farrakhov
Scopus Q12024
Methods of Balancing Phase Currents in Multiphase DC Converters (МЕТОД БАЛАНСИРОВКИ...)
Elektrotekhnika — Scopus Q1 Journal, Russia · Rahman, Farrakhov
IEEE2023
Designing of Variable Input Multiphase Buck Converter with Efficient Phase Current Balancing Technique
IEEE SIELMEN 2023, Romania · Rahman, Farrakhov, Vavilov
Springer2021
A Study on Electrochemical Characterizations of Bryophyllum pinnatum Leaf Electricity
Springer Nature — Advances in Medical Physics, Lecture Notes in Bioengineering, Singapore
Journal2019
Design of a Power System (Solar-Diesel Generator) for a Garment Industry and Load Optimization
International Journal of Engineering Applied Sciences and Technology, India
J-STAGE2019
Experimental Investigations in pH Behavior and Cell Potential of Bryophyllum pinnatum Solution
Grand Renewable Energy 2018 Proceedings, Japan Council for Renewable Energy
Springer2018
Sustainability Analysis of Net Zero Emission Smart Renewable Hybrid System Solution in Bangladesh Rural Context
Springer Nature — Transition Towards 100% Renewable Energy, Switzerland
IEEE2016
Designing of an Optimised Building Integrated Hybrid Energy Generation System
IEEE ICDRET 2016, Bangladesh · First IEEE publication

The NeuroBatt Ecosystem

Five Russian Federal patents registered 2024–2025 form a complete AI battery management architecture: Classify → Predict → Swarm. From the MSc-era aircraft BESS foundation to UAV and robotic fleet deployment — a commercially mature IP portfolio at TRL 4–5.

#2024611224
Energy Storage Optimisation Software for Electric Aircraft
MSc thesis foundation. Establishes the core algorithmic approach for ML-driven BESS optimisation in aircraft — the most demanding latency and safety environment in energy storage.
2024 · Co-inventor: Farrakhov
#2025662313
NeuroBatt Classifier
Real-time AI-based battery health classification system. Issued 20 May 2025. Diagnoses battery condition from operational signatures — the diagnostic layer of the NeuroBatt suite.
2025 · Co-inventors: Rinatovich, Airatovich
#2025663309
NeuroBatt Predictor
AI-based battery life prediction system. Issued 27 May 2025. Projects remaining useful life distribution from current state and usage scenario — the prognostic layer.
2025 · Co-inventors: Rinatovich, Airatovich
#2025664643
NeuroBatt Swarm — UAV Battery
Applies the Classifier-Predictor pipeline to UAV fleet energy management. Optimises collective mission duration across swarm energy allocation — the autonomous deployment layer.
2025 · Co-inventors: Rinatovich, Airatovich
#2025664801
NeuroBatt Swarm — Robotic Complex
Extends NeuroBatt intelligence to robotic manufacturing and autonomous systems. Multi-agent battery coordination for industrial robotics — the commercial deployment platform.
2025 · Co-inventors: Rinatovich, Airatovich

Research Impact Dashboard

0
Publications
0
Patents
0
IEEE Papers
0
% Lead Author
0
Year Span
0
Co-Authors
0
Countries
0
Govt. Scholarships

Thematic Distribution of Research Output

AI / ML for Battery & Energy
35%
Solar PV Systems
25%
Power Electronics
20%
EV Infrastructure
15%
Bioelectrochemistry / Other
5%
Recognition
  • 🎓 Russian Govt. Scholarship ×2 (consecutive)
  • 🏅 MSc RED DIPLOM — 97% (top 1%)
  • 📋 Elsevier Editorial Board (Dec 2025)
  • 🏛️ IEEE Member since January 2012
  • ⚙️ 5 Patents in 2 years (2024–2025)
  • 🎓 Skoltech ML Diploma · Skolkovo R&D Diploma
Collaboration Network
  • 🌐 UUST Russia · AIT Thailand · UTP Malaysia
  • 🌐 AIUB Bangladesh · Solarus Sweden
  • 👥 20+ unique named co-authors
  • 📍 Publication venues: 9+ countries
  • 🌏 Bangladesh → Sweden → Russia → Global
Key Results
  • ⚡ MAE = 8.31% SoC prediction (RF)
  • ☀️ 233 kWh summer / 200 kWh winter optimal
  • 🌿 60.7 t CO₂/yr saved per e-bus
  • 🤖 RL agent: stable –60 to –70 reward
  • 📉 Loss: 1700 → <100 in 50 epochs

Professional Timeline

Total: 6 years 4 months 28 days · Bangladesh · Sweden · Russia

Engineer I (Research & Teaching) · Head of Servo Motor Laboratory
UUST Advanced Engineering School — Motors for the Future
Dec 2023 – Jun 2025 · 1 yr 6 mo 13 d 📍 Ufa, Russia · Government
  • Designed 150 kW DC solar PV fast-charging station at Ufa International Airport (layout, inverters, cabling, grid connection, techno-economic analysis)
  • Led NeuroBatt AI battery research; filed 4 Russian Federal patents on PhD thesis
  • Supervised laboratory engineers; coordinated with procurement and technical office teams
  • Taught MATLAB numerical analysis; seminars on EV power distribution and PLC networks
  • Authored 10 IEEE/Scopus publications during this role
Engineer II — Power Converter Research
UUST Department of Power Converter Research
May 2023 – Dec 2023 · 6 mo 17 d 📍 Ufa, Russia · Government
  • Published phase-current balancing methodology in Scopus Q1 (Elektrotekhnika 2024) and Springer Nature
  • Multiphase DC-DC buck converter R&D and IEEE SIELMEN 2023 paper
Engineer — Scientific Department of Electronic Design
UUST Faculty of Advanced Engineering School
Dec 2022 – May 2023 · 5 mo 19 d 📍 Ufa, Russia · Government
  • PLC technology for EV communication networks; power electronics R&D and prototype validation
Electronics Design Engineer
OOO "ETK"
Mar 2022 – Dec 2022 · 8 mo 22 d 📍 Ufa, Russia · Private
  • PCB schematic design, power converter prototyping, subcontractor coordination, component procurement
Assistant Engineer (Electrical)
Prokaushal Upodesta Limited (PUL)
Sep 2019 – Apr 2020 · 7 mo 21 d 📍 Dhaka, Bangladesh · Private
  • Site inspection, procurement, drawings compliance, subcontractor management, progress reporting
Trainee Engineer (Electrical)
O&M Solutions Bangladesh Limited
Mar 2018 – Sep 2019 · 1 yr 5 mo 26 d 📍 Dhaka, Bangladesh · Private
  • Field O&M, HSE compliance enforcement, commissioning support, daily progress reports to project management
Trainee — Hybrid Solar PV-Thermal Systems
Solarus Sunpower AB
Apr 2016 – Sep 2016 · 6 mo 📍 Gävle, Sweden · Private
  • MaReCo, ACC (Active Cell Cooling), WBT (Winter Boost Technology) hybrid PV-thermal system installation and commissioning
  • First international solar PV field exposure — the catalytic experience that defined the research direction

Technical Skills

🤖 AI / Machine Learning

Random ForestCNN-LSTM XGBoostGradient Boosting Deep Neural NetworksReinforcement Learning ARIMA ForecastingSwarm Intelligence Federated LearningPhysics-Informed NN

☀️ Solar PV & Energy Systems

PV System DesignSeasonal Sizing LCOE / NPV / IRRTechno-economic Analysis Grid IntegrationEV Charging Infrastructure HOMER SimulationSmart Grid EMS

⚡ Power Electronics

Multiphase DC-DC ConvertersPhase-Current Balancing PCB DesignBattery Management Systems Aircraft Power SystemsPLC for EV Networks HTS Motor Modelling

💻 Software & Tools

MATLAB / SimulinkPython TensorFlow / Kerasscikit-learn NumPy / PandasLaTeX Microsoft Office

🌍 Languages

English — C1 (All IEEE publications) Bengali — C2 (Native) Russian — B2 (Scopus Q1 published) Arabic — A1

📋 Professional

IEEE Peer ReviewerElsevier Editorial Board Lab ManagementTeam Supervision Technical DocumentationHSE Compliance Site CoordinationAcademic Teaching

Get in Touch

📧
Email
nafeezrahman.du@gmail.com
📱
Mobile
+880 1345 755 132
🔬
ResearchGate
researchgate.net/profile/Md-Nafeez-Rahman
🏛️
Institution
Ufa University of Science & Technology, Russia
📍
Current Location
Dhaka, Bangladesh (remote PhD)

Open to research collaboration, academic positions, fellowship applications, and industry partnerships in battery AI, solar PV systems, and electric vehicle infrastructure.

The NeuroBatt patent suite is available for technology transfer discussions with industrial partners in EV, UAV, robotics, and grid-edge storage sectors.

Available for peer review, editorial work, and conference programme committees in energy storage, power electronics, and AI-driven energy systems.

🇧🇩 Bangladesh
🇷🇺 Russia
🇸🇪 Sweden (exp.)
🌐 Global Collaboration