Brief Biography
Md Rashedul Hasan is a Ph.D. student in Computer Science and Graduate Research Assistant in the School of Computing at the University of Nebraska–Lincoln, where his research focuses on trustworthy AI, software verification, and system security. His work explores how to integrate formal methods and machine learning to build reliable, secure, and verifiable software systems, including automated repair of declarative specifications, transformer‑based analysis for ORM design, and neuro‑symbolic approaches to certified software synthesis.
Rashed holds a B.Sc. in Software Engineering from Daffodil International University and has been active in information security since 2013 as an information security researcher and OSINT expert. He has supported government organizations in Bangladesh in understanding cybercrime threats and defenses, worked with Detectify as a CrowdSource Researcher, and co‑founded CyberTrendz Inc., a cybersecurity startup that delivered vulnerability assessment, training, and public awareness programs. CyberTrendz Inc. was selected among the top 27 teams in Grameenphone Accelerator Season 3 and advanced to the top 19, running workshops and seminars in Dhaka, including at BDjobs Training’s corporate office.
Since 2019, Rashed has been a core researcher on bug bounty platforms such as Zerocopter, earning Hall of Fame listings and acknowledgments from organizations including the U.S. Department of Defense, T‑Mobile, Twitter, Snapchat, Mavenlink, Edmodo, Mobidea, Envoy, Magento, and others. From 2020 to 2021, he worked as an Assistant Maintenance Engineer with the Ministry of Defense of Bangladesh, contributing to cybersecurity solutions and broadcast distribution infrastructure. He has also participated in international training and academic programs in Bangladesh, Singapore, Malaysia, and Indonesia, and more recently in advanced programs such as SRI’s Summer School on Formal Techniques and the ICANN 79 NextGen initiative.
Alongside his research, Rashed remains engaged with the broader academic and professional community through publications, reviewing, and invited talks on topics such as OSINT and vulnerability detection with large language models. His long‑term vision is to build a career that blends research and education with technology translation, entrepreneurship, and impact investing, serving as a mentor and stakeholder in the global IT and cybersecurity ecosystem while helping to shape the next generation of trustworthy intelligent systems.
Selected Publications
Automated repair of Alloy specifications in the era of large language models. M.R. Hasan, J. Li, I. Ahmed, H. Bagheri IEEE Transactions on Software Engineering (TSE) — accepted 3 April 2026 · Flagship software engineering journal (JCR impact factor 5.6, per IEEE Xplore) · (forthcoming; not yet on Scholar as a journal article)
Profile-guided constraint simplification for symbolic execution *Roxana Shajarian, *Md Rashedul Hasan, Lisong Xu, Hamid Bagheri (* Equal contribution). International Conference on Formal Methods in Software Engineering (FormaliSE 2026) — accepted · 12–13 April 2026 · Rio de Janeiro, Brazil · Co-located with the International Conference on Software Engineering (ICSE 2026)
An empirical evaluation of pre-trained large language models for repairing declarative formal specifications. M. Alhanahnah, M. Rashedul Hasan, L. Xu, H. Bagheri; Empirical Software Engineering 30 (5), 149
Unlocking optimal ORM database designs: Accelerated tradeoff analysis with transformers. M.R. Hasan, Mohammad.R. Hasan, H. Bagheri Proceedings of the ACM on Software Engineering 2 (FSE), 1639–1662
Towards more dependable specifications: An empirical study exploring the synergy of traditional and LLM-based repair approaches. M.R. Hasan, M. Alhanahnah, C. Stevens, H. Bagheri2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (DSN 2025 Distinguished Artifacts Award 🏆).
Neuro-symbolic approach to certified scientific software synthesis. H. Bagheri, M. Mirakhorli, M. Fazelnia, I. Mujhid, M.R. Hasan Proceedings of the 1st ACM International Conference on AI-Powered Software
Android malware classification addressing repackaged entities by the evaluation of static features and multiple machine learning algorithms. M.R. Hasan Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022, London, Volume 2.
Android malware detection by machine learning apprehension and static feature characterization. M.R. Hasan, A. Begum, F.B. Zamal, L. Rawshan, T. Bhuiyan Cyber Security and Computer Science: Second EAI International Conference, ICONCS 2020, Dhaka, Bangladesh, February 15-16, 2020, Proceedings
Predicting COVID-19 infection ratio based on behavioral and demographic observations of Bangladesh. M. Rashedul Hasan, M. Fokhray Hossain Shodh Sarita: An International Bilingual Peer-Reviewed Refereed Research Journal 7 (28), 141–147 (Oct–Dec 2020) · ISSN 2348-2397 · UGC-CARE listed
Our Paper Titled Automated Repair of Alloy Specifications in the Era of Large Language Models has been accepted for publication in the IEEE Transactions on Software Engineering (TSE), a flagship software engineering journal (impact factor of 5.6). (April 3, 2026)
Our Paper Titled Profile-Guided Constraint Simplification for Symbolic Execution has been accepted at the International Conference on Formal Methods in Software Engineering (FormaliSE 2026). It will be held at April 12-13 at Rio Di Janerio, Brazil. This Conference is co-located with International Conference in Software Engineering (ICSE 2026)
(January 5, 2026)
Our Paper Titled Profile-Guided Constraint Simplification for Symbolic Execution has been accepted at the International Conference on Formal Methods in Software Engineering (FormaliSE 2026). It will be held at April 12-13 at Rio Di Janerio, Brazil. This Conference is co-located with International Conference in Software Engineering (ICSE 2026)
(January 5, 2026)
Our DSN 25 award achivement has been higlighted at the UNL School of Computing News
I attended FSE and ISSTA 2025 in person and Presented our paper at FSE Research Track; I was also part of the Student Volunteers Committee.
Our Paper Titled An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications has been accepted at The Journal of Emprical Software Engineering by Springer Nature Link (Q1, Impact Factor ~ 4.5)
(June 10, 2025)
I have been awarded with Graduate Student Travel Award 🏆 on behalf of Nebraska Graduate Studies to Attend The 33rd ACM International Conference on the Foundations of Software Engineering (FSE), 2025 (June, 2025)
I am honored to receive the Mary E. and Elmer H. Dohrmann Fellowship Award 🏆 from the School of Computing at UNL in Summer 2025 (21 May, 2025).
Our Artifacts for the Paper Titled Towards More Dependable Specifications: An Empirical Study Exploring the Synergy of Traditional and LLM-Based Repair Approaches has been awarded with DSN 2025 Distinguished Artifacts Award 🏆
(13 May, 2025)
Our Paper Titled Unlocking Optimal ORM Designs: Accelerated Tradeoff Analysis with Transformers has been Accepted At The 33rd ACM International Conference on the Foundations of Software Engineering (FSE), 2025
(April 2025)
Acceptance Rate: 22%
Our Paper Titled Towards More Dependable Specifications: An Empirical Study Exploring the Synergy of Traditional and LLM-Based Repair Approaches has been accepted at
The 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2025
(March 2025)
Acceptance Rate: 24%
Our paper titled Neuro-Symbolic Approach to Certified Scientific Software Synthesis has been accepted at 1st ACM International Conference on AI-Powered Software. (June , 2024)
I am honored to receive Most Improved Doctoral Candidate award 🏆 from the School of Computing at UNL in Spring 2024 (May 2024).
I am honored to receive the Milton E. Mohr Fellowship Award 🏆from the College of Engineering at UNL in Spring 2024 (May 2024).
I am honored to be selected as NextGEN at ICANN and attended the ICANN 79 General Meeting at San Juan, Puerto Rico (March 2024).
I am honored to be selected as a fully funded participant in Twelfth Summer School on Formal Techniques and Formal Methods in the Field Bootcamp (May - June 2023).
My paper titled Android Malware Classification Addressing Repackaged Entities by the Evaluation of Static Features and Multiple Machine Learning Algorithms has been accepted and published into Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022, London, Volume 2 (July, 2022).
Started Ph.D. in Computer Science at the University of Nebraska Lincoln with Research Assistantship in The Internet Correctness and Efficiency (ICE) Lab at the School of Computing (January 2022).
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