Bringing machine learning to power and energy systems.
grid voltage · 50 Hz0 anomalies flagged
I'm an Electrical & Electronic Engineering graduate from Rajshahi University of Engineering & Technology (RUET) and a Research Associate in the Power and Energy portfolio at Inspira Advisory & Consulting. My research integrates machine learning and deep learning with power and energy systems, from explainable anomaly detection in solar PV modules and PV performance analysis in hot-humid climates to electricity demand forecasting and data-integrity auditing of power-grid records. This builds on earlier work in signal processing and AI for healthcare, where I developed predictive models from wearable and ECG signals.
Machine Learning & Deep Learning
AI in Healthcare & Energy
Renewable Energy Technologies
Signal Processing & Control Systems
Explainable AI & Anomaly Detection
Power Grid Analytics & Demand Forecasting
01
Publications
Power & energy systems
Explainable Deep Learning Framework for Multiclass Anomaly Detection in Solar PV Modules Using Infrared Images
Interpretable Electricity Demand Analysis and Tree-Based Forecasting Using Machine Learning Models Across Urban Distribution Zones in Bangladesh
Rule-Informed Data-Integrity Auditing and Anomaly Diagnosis for Daily Power-Grid Records
AI in healthcare
ECG-Based Mental Stress Classification Using Feature Engineering and Power Spectral Density Analysis with Machine and Deep Learning Models
Monitoring Mental Stress Using Multimodal Physiological Signals from Wearable Device
02
Work Experience
Research Associate, Power and Energy Portfolio
Inspira Advisory & Consulting Ltd., Dhaka
- Secondary research on renewable energy, energy efficiency, and AI-innovation trends and regulation for donor-funded projects with GIZ, Oxfam and the SAARC Energy Centre.
- Feasibility study on rooftop solar potential for government educational institutions: technical yield estimation, system configuration review and cost–benefit analysis.
- Renewable-energy feasibility study for the RMG sector: solar PV suitability mapping, viability assessment and stakeholder validation workshops.
- Field data collection, key informant interviews and stakeholder consultations; drafted analytical reports, policy briefs and dissemination presentations.
Technical Project Manager
Eagle 3D Streaming, Texas, USA (remote)
- Led end-to-end planning and delivery of technical initiatives, managing scope, timelines, milestones and resources across cross-functional teams.
- Prepared inception reports, technical proposals and final project reports.
Machine Learning Intern
Encryptix, New Delhi, India
- Implemented and fine-tuned models with TensorFlow, PyTorch and scikit-learn across multiple projects.
- Monitored and updated model performance to maintain accuracy and relevance.
03
Research Experience
Health Informatics Research Lab (HIRL)
Dept. of CSE, Daffodil International University · with Dr. Md. Zahid Hasan
Machine learning applications in biomedical science.
Signal Processing and Machine Learning Lab
Dept. of EEE, RUET · with Dr. Mohammod Abdul Motin
Predictive systems using physiological signals from wearable devices.
Terahertz Imaging in Doped Germanium-Based Hyperbolic Metamaterial Slabs
Supervised by Dr. Md. Samiul Habib, Dept. of EEE, RUET
04
Projects
Multiclass PV module anomaly detection
Explainable deep-learning framework that classifies anomalies in solar PV modules from infrared images.
Deep learning · XAIPublication →
PV performance deficits in hot-humid climates
Explainable machine learning with irradiance normalisation to characterise where and why PV systems underperform.
Explainable MLPublication →
Urban electricity demand forecasting
Interpretable demand analysis and tree-based forecasting across urban distribution zones in Bangladesh.
Tree-based modelsPublication →
Power-grid data-integrity auditing
Rule-informed auditing and anomaly diagnosis for daily power-grid records.
Anomaly diagnosisPublication →
Water Industry 4.0: Energy-wise Operation
Poster on energy-aware operation of water utilities under the Industry 4.0 paradigm.
Energy systems
Single-phase H-bridge inverter
Design and implementation of a single-phase H-bridge inverter.
Power electronics
Applied ML projects at Encryptix
Real-world machine learning projects built with a team during the internship.
Python · scikit-learnRepository →
ECG cardiac-state analyser
MATLAB GUI application that processes ECG signals to determine cardiac state.
MATLAB
Digital filter toolkit
High-pass, low-pass, band-pass and band-reject digital filters implemented in Python.
Python · SciPy
Power BI dashboards
Interactive dashboards built with Power BI's analytics and visualisation features.
Power BIRepository →
05
Education
2019 — 2024
B.Sc. in Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology (RUET), Bangladesh
Thesis: Terahertz imaging in doped germanium-based hyperbolic metamaterial slabs, supervised by Dr. Md. Samiul Habib
Coursework: Power Systems, Control Systems, Digital Signal Processing, Signals & Linear Systems, Communication Engineering, Computational Methods in EE, Biomedical Engineering
2016 — 2018
Higher Secondary Certificate · GPA 5.00 / 5.00
Dhaka College, Bangladesh
2014 — 2016
Secondary School Certificate · GPA 5.00 / 5.00
Dhanmondi Government Boys' High School, Bangladesh
06
Professional Training
15 days
Solar PV Technology, Project Development & Energy Modelling
Bangladesh Power Management Institute (BPMI) & GIZ Bangladesh
3 months
Machine Learning & Data Science Bootcamp
Code Studio
2022
Career and Leadership Aid Program (CLAP)
7 days
Industrial Training
Ghorashal Power Plant and C.E.R.S, Bangladesh Power Development Board, Tongi, Gazipur
07
Skills
Programming
PythonMATLABCLaTeX
ML / DL frameworks & libraries
TensorFlowKerasPyTorchscikit-learnNumPyPandasSciPyMatplotlib
Energy & engineering tools
PVsystHOMERAutoCAD
Analytics & productivity
Power BIAdobe IllustratorMicrosoft OfficeGoogle Workspace
08
Leadership & Service
Director of Marketing & PR
Hult Prize at RUET. Planned and ran events and promoted the competition locally and globally.
Event Team Lead Volunteer
IEEE Computer Society Bangladesh Chapter, Team SPARK. Managed event logistics and post-event evaluation.
Publicity Coordinator
IEEE RUET Student Branch. Coordinated events and led social-media outreach.
Logistics Officer
TEDxRUET 2020. Managed operations and resource coordination for the event.