Embedded Files
Aloha!
My name is Abdullah Al Mamun. I am a 4th-year Ph.D. Student at the University of North Carolina Charlotte in the Electrical and Computer Engineering Department. Currently, I am working as a Research Assistant in the ECE department. I completed my Bachelor's in Electrical and Electronic Engineering at the International Islamic University Chittagong in November 2019.
My research interests include Peer-to-Peer (P2P) Transactive Energy, Demand Response, Electric Power System Resiliency, Power System Data Analytics, and Integrating Smart Grid with AI. I work with Dr. Badrul Chowdhury's research group.
I call myself a Philomath (a lover of learning). From Science to Business, Sports to Religion, I love gathering knowledge, learning new topics, recent trends, technology, etc. (anything that interests me). I love reading books, watching movies, television series in different languages.
I am an avid lover of traveling. Whenever I get the chance, I visit places and countries. I like meeting new people, connecting with them and their culture, and having coffee in a local restaurant.
If you ask me where I see myself in 10 years, I would say "a contributing researcher" in my field, a leader in my workplace, and a good man with a wealth of experience in life.
Recent News:
Recent News:
[May 2022]: I’m starting a new position as a Graduate Research Student at Karlsruhe Institute of Technology (KIT) in Summer 2022! I will be working under Prof. Andreas Wagner on the project titled "DataFEE - Data mining, machine learning, feedback, and feedforward - energy efficiency through user-centric building systems." Link: https://fbta.ieb.kit.edu/
[September 2021]: A paper titled "Is Achieving Net-Zero Carbon Emissions Possible for Electric Utilities with Current Technology?", has been accepted for the 2021 North American Power Symposium under Dr. Chowhury's research group.
[January 2021]: I have joined UNC Charlotte for my Ph.D in Electrical Engineering and also started working with Dr. Badrul Chowdhury's research group
[July 2020]: My first journal titled " A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models" has been published in IEEE ACCESS (Impact Factor: 3.745]
[November 2019]: A conference paper based on my undergrad thesis titled "A hybrid deep learning model with evolutionary algorithm for short-term load forecasting" has been published in 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA) held at Brasov, Romania.
Page updated
Google Sites
Report abuse