Ahmed Abdeen Hamed
Assistant Teaching Professor,
Multidisciplinary Graduate Engineering Programs
Contact
- a.hamed@northeastern.edu
- 230 NW 24th St 5th Floor
Miami, FL 33127
About
Dr. Ahmed Abdeen Hamed, is a Professor of Multidisciplinary Graduate Engineering (MGEN) at Northeastern University’s College of Engineering, is an accomplished researcher and educator at the forefront of network medicine and artificial intelligence (AI). With over a decade of experience spanning academia and industry, Dr. Hamed has made significant contributions to solving complex clinical challenges, particularly in COVID-19 and cancer research. His pioneering work leverages computational methods to explore genetics, clinical, and pharmaceutical dimensions of diseases.
Before joining Northeastern, Dr. Hamed served as a Research Fellow at the State University of New York, Binghamton, where he led innovative projects in complex adaptive systems and computational intelligence. As a research leader for Network Medicine and AI at The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences, he has spearheaded AI-driven solutions in personalized cancer treatments and clinical decision support systems. Dr. Hamed’s career also includes R&D roles at Merck & Co. and MSD Prague where he applied advanced AI techniques to revolutionize drug discovery.
In addition to his groundbreaking work in network medicine and AI, Dr. Hamed has developed the xFakeSci algorithm, a cutting-edge tool designed to detect AI-generated fake scientific papers, misinformation, and disinformation. This innovative algorithm plays a crucial role in improving the integrity of academic research and fact-checking processes, helping to safeguard scientific knowledge from the rising threat of fabricated and misleading information. Dr. Hamed’s contributions in this field have gained significant recognition, further establishing his leadership in the intersection of AI and scientific integrity.
Dr. Hamed’s career spans various prestigious roles, including Assistant Professor and Program Director of Data Science at Norwich University, and team leader positions at MSD Prague, where he applied knowledge engineering to drug discovery. He holds a PhD in Computer Science and Biomedical Informatics from the University of Vermont and a Master’s in Computer Science from Indiana University.
Education
- Post Doctoral Fellow, Vermont EPSCoR, University of Vermont, USA, 2016
- PhD, Computer Science and Biomedical Informatics, University of Vermont, USA, 2014
- Ms, Computer Science, Indiana University, Bloomington, USA 2005
- Bs. Business and Accounting, ASU Cairo, Egypt
Honors & Awards
- Award for Excellence, issued by Merck, Aug 2016
- US10978178B2, United States Patent on Systems and methods for providing a specificity-based network analysis algorithm for searching and ranking therapeutic molecules, 2021
- Fast Company’s Most Creative People in Business 2016 — for designing an algorithm that discovers potentially dangerous drug interactions and unknown side-effects before they appear in medical databases, like PubMed, using hashtags.
Teaching Interests
- Problem-Solving using Programming Languages
- Data and Web Mining using Python
- Data Science and Data Wrangling
- Algorithm Design, and Implementation
- Artificial Neural Networks (ANNs)
- Classical Machine Learning
Leadership Positions
- Network Medicine and AI Research Group Leader, Cracow Poland, 2022-2024
- Program Director of Data Analytics, Norwich University, CGCS, 2019-2022
- Scientific Informatics Project Leader, Marine Biological Laboratory, 2006-2008
Professional Affiliations
- Research Fellow, Complex Adaptive Systems and Computational Intelligence (CASCI) Lab, Thomas J. Watson College of Engineering and Applied Science, Binghamton University, 2009-current
- Research Fellow, The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences, iMol PAS, 2024
Selected Publications
- Hamed, Ahmed & Wu, Xindong. (2024). Detection of ChatGPT fake science with the xFakeSci learning algorithm. Nature Scientific Reports.
- Hamed, Ahmed Abdeen, Tamer E. Fandy, and Xindong Wu. “Accelerating Complex Disease Treatment through Network Medicine and GenAI: A Case Study on Drug Repurposing for Breast Cancer.“, International Conference on Medical Artificial Intelligence, IEEE MedAI’24, Chongqing China, 2024.
- Hamed, Ahmed Abdee & Zachara, Małgorzata & Wu, Xindong. (2024). Safeguarding authenticity for mitigating the harmsof generative AI: Issues, research agenda, and policiesfor detection, fact-checking, and ethical AI. iScience.
- Hamed, Ahmed Abdeen, et al. “Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification.” International Conference on Computational Science. Cham: Springer Nature Switzerland, 2024.
- Hamed, Ahmed Abdeen, et al. “COVID-19 drug repurposing: A network-based framework for exploring biomedical literature and clinical trials for possible treatments.” Pharmaceutics 14.3 (2022): 567.

Sep 23, 2024
Algorithm To Detect AI-Generated Fake Scientific Papers
MGEN Assistant Teaching Professor Ahmed Abdeen Hamed published his work, “Detection of ChatGPT Fake Science With the XFakeSci Learning Algorithm,” in Scientific Reports. His algorithm is nearly twice as successful as more common data-mining techniques, detecting up to 94% of inauthentic papers.

Aug 14, 2024
New Faculty Spotlight: Ahmed Abdeen Hamed
Ahmed Abdeen Hamed joins the MGEN department in August 2024 as an Assistant Teaching Professor in Miami, FL.