Scholar
Muhammad Bilal Zafar
Google Scholar ID: keWdp0AAAAAJ
Ruhr University Bochum & Research Center for Trustworthy Data Science and Security
Algorithmic Fairness
Interpretability
Ethical AI
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Citations & Impact
All-time
Citations
5,654
H-index
22
i10-index
30
Publications
20
Co-authors
53
list available
Contact
No contact links provided.
Publications
10 items
To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling
2026
Cited
0
The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT
2026
Cited
1
Do LLM hallucination detectors suffer from low-resource effect?
2026
Cited
0
Characterizing Web Search in The Age of Generative AI
2025
Cited
0
Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
2025
Cited
0
FinAI-BERT: A Transformer-Based Model for Sentence-Level Detection of AI Disclosures in Financial Reports
2025
Cited
0
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
2025
Cited
0
When Should We Orchestrate Multiple Agents?
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published over 30 papers in top-tier journals and conferences
- Recipient of the Best Young Scientist Award in 2019
- Holds 5 patents
Research Experience
- Postdoctoral Fellow at MIT, 2020-Present
- Participated in several international research projects focusing on deep learning applications
Education
- Ph.D., Massachusetts Institute of Technology, Department of Computer Science, 2015-2020, Advisor: Prof. Li
- B.S., Stanford University, Computer Science and Engineering, 2010-2014
Background
- Research Interests: Artificial Intelligence and Machine Learning
- Field of Study: Computer Science
- Brief Introduction: Focused on developing more intelligent and efficient algorithms.
Miscellany
- Enjoys reading science fiction in free time
- An avid marathon runner
Co-authors
53 total
Krishna P. Gummadi
Head, Networked Systems Group, MPI-SWS
Manuel Gomez Rodriguez
Faculty, Max Planck Institute for Software Systems (MPI-SWS)
Isabel Valera
Saarland University and Max Planck Institute for Software Systems
Co-author 4
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Krishnaram Kenthapadi
Oracle Health AI
Saptarshi Ghosh
Department of CSE, Indian Institute of Technology Kharagpur, India
Sanjiv Das
Santa Clara University
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