Abdullah Al Asif is a Ph.D. student in Computer Science at Iowa State University, specializing in federated learning, distributed systems, and performance optimization of AI models. His research focuses on developing resource-efficient and scalable machine learning systems, particularly on system profiling and optimization techniques for state space models.
Research Interest (Primary): Federated Learning and Distributed Systems, Resource-Efficient Computing, System Performance Analysis and Model Profiling, Computational Social Science
Research Interest (Secondary): Remote Sensing, Data Science
Prior to his doctoral studies, as a Research Associate at BRAC University, he led data science initiatives, including a randomized controlled trial (RCT) analyzing household electricity consumption patterns in Dhaka. His work involved developing machine learning models for poverty prediction and utilizing satellite imagery analysis for healthcare facility planning in Bangladesh. His academic excellence is evidenced by multiple scholarships, including the Dean's List Award (2019) and Medha Lalon Scholarship (2018) from East West University. As an Undergraduate Teaching Assistant for two years, he demonstrated strong pedagogical skills through curriculum development and student mentoring.
Here are the links to Asif's CV and Google Scholar.