Mirza Farhan  Bin Tarek
Scholar

Mirza Farhan Bin Tarek

Google Scholar ID: TNHqd54AAAAJ
Ph.D. Student, Department of Computer and Information Sciences, University of Delaware
Applied Machine LearningHealth Data Science
Citations & Impact
All-time
Citations
55
 
H-index
3
 
i10-index
1
 
Publications
5
 
Co-authors
0
 
Publications
5 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • October 14, 2025: Presented a paper titled 'Reward hacking Mitigation using Verifiable Composite Rewards' at The 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2025).
  • June 4, 2025: Selected to receive an NSF Student Travel Award for participation in IEEE/ACM CHASE 2025.
  • February 18, 2025: Paper titled 'Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks' accepted at 2025 IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE).
  • May 29, 2024: Passed the PhD Preliminary Exam!
  • April 7, 2023: Co-authored paper 'Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods' accepted in FAccT 2023 Conference.
Research Experience
  • Before pursuing his Ph.D., he worked as a lecturer for more than 3 years in the Department of Computer Science and Engineering at Brac University, where he taught the CISC181 course.
Education
  • Ph.D.: Computer Science, University of Delaware, supervised by Professor Beheshti; B.S.: Computer Science and Engineering, United International University (Dhaka, Bangladesh).
Background
  • Research interests lie at the intersection of machine learning, healthcare, and fairness. Current research focuses on harnessing large language models to generate fair and unbiased clinical data, such as clinical vignettes and notes.
Miscellany
  • Thrives on challenges and is motivated to continuously expand knowledge and skill set. Enthusiastic about exploring new frontiers in the exciting domain of computer science.
Co-authors
0 total
Co-authors: 0 (list not available)