Experienced researcher and university lecturer with a multidisciplinary background in engineering and physics, holding a PhD in Electrical Engineering, an MSc in Environmental Physics, and a Bachelor’s degree in Physics, with over a decade of research and teaching experience spanning power and energy systems and applied physics. Specializes in renewable energy integration, battery energy storage systems (BESS), and electric vehicle (EV) charging. Applies AI-driven optimization and data-centric forecasting to enhance energy system modeling, grid flexibility, smart grid operations, BESS deployment, and EV-to-grid integration. Proficient in Python, R, MATLAB, SQL, and tools including ANSYS, ArcGIS, and IoT platforms. Committed to advancing low-carbon, resilient, and sustainable energy transitions.
Research Interests
Power and energy system engineering; environmental physics
RES integration, BESS, and EV charging systems under high penetration of VRE
AI-driven optimization, and forecasting for energy system modeling, grid flexibility, resilience, and climate-aware operation of smart grids
Techno-economic and environmental assessment for energy transition, multi-energy systems, and sector coupling in decarbonized power networks
Dissertation:
"Dynamics of Electric Vehicles Charging Station Design and Techno-Economic Feasibility Analysis with Renewable Energy Using Machine Learning"
(Advisor: Prof. Cheng-Chien Kuo)
Spatio-temporal ML analysis of climate impacts on fisheries.
Time-series analysis of marine environmental data.
Renewable Energy Engineer (Freelancer)
2021 – 2024
Remote from Taiwan | Projects in Ethiopia
EV charging station placement, techno-economic, and environmental studies for
Marathon Motor Engineering PLC (EV cars) and Belayneh Kinde Group (EV city buses)
Designed solar PV systems with hybrid storage for rural electrification
Delivered remote consultancy during PhD with full institutional compliance
Applied data science and machine learning for system modeling and performance optimization
Technical skills proficiency grouped by experience level (self-assessed)
Languages
Native
Amharic
Proficient
English
Intermediate
Tigrigna
Beginner
Chinese
Language proficiency levels based on professional and academic usage
Research & Industry Projects (Participation)
Postdoctoral Researcher 2025–Present
GFRU – Global and Frontier Research University Fund Naresuan University, Grant No. R2567C002
Project: Intelligent Operation Optimization of Grid-Scale Battery Energy Storage Systems in Thailand’s Ambient Conditions for Enhanced Economic Benefit and CO2 Reduction Using Machine Learning
Publication: Grid-Scale Battery Energy Storage and AI-Driven Intelligent Optimization
for Techno-Economic and Environmental Benefits: A Systematic Review,
Batteries, 2026.
doi
TGC EMC Thai–German Cooperation on Energy, Mobility and Climate
Project: Grid Flexibility for High Penetration of Variable Renewable Energy in Thailand's Distribution System
Doctoral Researcher 2017–2024
NSTC – National Science and Technology Council (Taiwan, Grant No. MOST 111-2622-8-011-006-TE1)
Doctoral research funding supporting studies in microgrid, renewable energy, EV charging, and intelligent energy applications.
Publication: Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery
Technology,
Energies, 2022, 15(12), 4364.
doi
TaiwanICDF – International Cooperation and Development Fund (Taiwan)
Doctoral research funding supporting studies in microgrid, renewable energy, and intelligent energy applications.
Publication: Optimal Design and Performance Analysis of Solar Power Microsystem for
Mini-Grid Application,
Microsystem Technologies.
doi
APO COE GP – The Asian Productivity Organization Center of Excellence on Green Productivity
Doctoral research funding supporting studies in microgrid, renewable energy, and energy optimization.
Publication: Techno-Economic Analysis of Microsystem-Based Hybrid Energy Combination for
Island Application,
Microsystem Technologies.
doi
Industry Collaboration: TDK Corporation (Japan)
Project: Magnetic Encoder and Motor Position Sensing Using TMR Sensors
Publication: Magnetic Field Distribution of Magnetic Encoder with TMR Sensor
Using Finite Element Analysis,
Microsystem Technologies, 26, 2683–2701 (2020).
doi
Researcher and Lecturer 2008–2021
Aksum University, Ethiopia
MOE – Ministry of Education (Ethiopia)
Community-based research funding supporting studies in renewable energy systems,
laboratory experimentation, science education, and environmental applications.
Grid-Scale Battery Energy Storage and AI-Driven Intelligent Optimization
for Techno-Economic and Environmental Benefits: A Systematic Review
Batteries, 2026.
doi
Short-Term Electricity Demand Forecasting Using Cloudy and Clear Sky Solar
Irradiance Data,
Engineering, Technology & Applied Science Research (ETASR), 2025.
doi
Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of
PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery
Technology,
Energies, 2022, 15(12), 4364.
doi
Magnetic Field Distribution of Magnetic Encoder with TMR Sensor Using
Finite Element Analysis,
Microsystem Technologies, 26, 2683–2701 (2020).
doi
Techno-Economic Analysis of Microsystem-Based Hybrid Energy Combination for
Island Application,
Microsystem Technologies.
doi
Optimal Design and Performance Analysis of Solar Power Microsystem for
Mini-Grid Application,
Microsystem Technologies.
doi
Risk Analysis of Lightning and Surge Protection Devices for Power Energy
Structures,
Energies, 11(8), 1999.
doi
Estimation of Solar Panel Orientation with Different Tilt Angles at Haramaya University
Link
Modules for class
Sustainable Sources of Energy
Computational Physics
Mathematical Methods of Physics I
Electrodynamics II
Introduction to Modern Physics
Work in Progress
[Book – In Preparation]Python for Physicists and Engineers (in Amharic)
[Manuscript in Editing]
Assessment of Solar and Wind Energy Resources Using Numerical Weather
Prediction and Machine Learning Models Based on Atmospheric Parameters