Organization

Organizing Committee

Dr. Sumon Biswas

Co-Chair
Assistant Professor, Department of Computer and Data Sciences
Case Western Reserve University, USA
sumon@case.edu
sumonbis.github.io

Dr. Anindya Bijoy Das

Co-Chair
Assistant Professor, Department of Electrical and Computer Engineering
University of Akron, USA
adas@uakron.edu
anindyabijoydas.github.io

Dr. Shahnewaz Karim Sakib

Co-Chair
Assistant Professor, Department of Computer Science and Engineering
University of Tennessee at Chattanooga, USA
shahnewazkarim-sakib@utc.edu
shahanewaz.github.io

Dr. Shibbir Ahmed

Co-Chair
Assistant Professor, Department of Computer Science
Texas State University, USA
shibbir@txstate.edu
shibbirtanvin.github.io

Organizer Biographies

Dr. Sumon Biswas, Case Western Reserve University, is an Assistant Professor of Computer and Data Sciences whose research advances responsible AI engineering, formal verification, and reliability of machine-learning systems, with publications at FSE and ICSE and support from NSF and DARPA. He co-organized the Big Data Summer School at Iowa State University, served as Accessibility Chair for ACM SPLASH 2020 and 2021, sits on the Board of Distinguished Reviewers for ACM TOSEM, and has served on the program committees of ICSE, FSE, and ASE. Dr. Anindya Bijoy Das, University of Akron, is a tenure-track Assistant Professor of Electrical and Computer Engineering whose research spans federated learning, large language models, distributed and coded computation, information theory, and AI/ML applications. He earned his Ph.D. from Iowa State University, where he received the Karas Award for outstanding dissertation, was a postdoctoral researcher at Purdue University, served as Technical Program Committee Chair for DISTILL 2025, and leads an NSF-supported program on practical coded matrix computation. Dr. Shahnewaz Karim Sakib, University of Tennessee at Chattanooga, is an Assistant Professor of Computer Science and Engineering whose research advances trustworthy and safe AI, with emphasis on privacy-preserving and federated learning, subgroup robustness, explainability, machine unlearning, and adversarial robustness, including recent studies of hallucination and adversarial factuality in LLMs. He earned his Ph.D. from Iowa State University, has published in IEEE Transactions on Information Forensics and Security and IEEE Transactions on Dependable and Secure Computing, served as Technical Program Committee Chair for DISTILL 2025, and leads AI ethics and security education efforts through Chattanooga’s AI Network. Dr. Shibbir Ahmed, Texas State University, is an Assistant Professor of Computer Science whose research addresses software engineering for trustworthy AI systems at the intersection of AI, data science, and reliable deep learning, with work in venues including ICSE, FSE, EMSE, and ICIP and support from NSF and the U.S. Census Bureau. He co-organized the first IEEE Workshop on Distributed, Secure, and Trustworthy Intelligence with LLMs (DISTILL 2025) and the 1st International Workshop on Software Engineering for and with Trustworthy LLMs (LLMTrust 2026). —

Program Committee

TBA. The program committee will include members from across the AI/ML, trustworthy computing, software engineering, and information theory communities. We are actively inviting members to ensure broad expertise and representation. To express interest in serving, please contact the organizers.