Keynote Speakers

Hahn Jungpil

Professor Dr.Jungpil Hahn

National University of Singapore, Singapore

Jungpil Hahn is a Professor in the Department of Information Systems and Analytics at the School of Computing at the National University of Singapore (NUS). He served as the Head of the Department of Information Systems and Analytics from July 2015 to June 2021. Prior to joining NUS, he was an Assistant Professor of Management at the Krannert School of Management at Purdue University in West Lafayette (IN) and a Visiting Assistant Professor of Information Systems at the Tepper School of Business at Carnegie Mellon University in Pittsburgh (PA). He has a Bachelor’s and Master’s degree in Business Administration from Yonsei University in Seoul Korea and he earned his Ph.D. in Information and Decision Sciences from the Carlson School of Management at The University of Minnesota.

      Professor Hahn’s research focuses on open innovation, organizational learning and knowledge management, software development processes, software project management and human-computer interaction. His research has been published in Management Science, MIS Quarterly, Information Systems Research, Organization Science, Entrepreneurship Theory and Practice, Journal of Management Information Systems, Information Systems Frontiers, International Journal of Business and Globalization, Theoretical Issues in Ergonomic Science, the ACM Transactions on Human-Computer Interaction and the Korean Management Science Review as well as in proceedings of major conferences such as the International Conference on Information Systems, the Annual Workshop on HCI Research in MIS, the International Conference on Electronic Commerce, the International Conference on Open Source Systems, the Hawaii International Conference on System Sciences and the ACM Conference on Human Factors in Computing Systems. His research has also been presented at major conferences such as the INFORMS Annual Meeting, the INFORMS Conference on Information Systems and Technology, the Annual Meeting of the Academy of Management, the Association of Consumer Research Pre-Conference on Consumer Behavior Online, the Workshop on Information Systems and Economics, the Workshop on Information Technology and Systems and the Annual Meeting of the Productions and Operations Management Society. Professor Hahn has also contributed essays to multiple edited volumes including Economics, Information Systems and Electronic Commerce: Empirical Advances (R. J. Kauffman and P. P. Tallon, eds.), IT-enabled Strategic Management: Increasing Returns for the Organization (B. A. Walters and A. Tang, eds.) and E-Business Management: Integration of Web Technologies with Business Models (M. Shaw, ed.).

      Professor Hahn has received numerous awards and accolades for his research, teaching and service. He is a recipient of three “Best Paper in Track” Awards for the Sharing Economy, Platforms and Crowd, Advances in Research Methods and the IS Development and Project Management Tracks at the International Conference in Information Systems (2021 and 2022), the “Best Paper Award” at the Workshop on Information Technology and Systems (WITS) in 2016, and the “Best 2013 Published Paper Award” from the Organizational Communication and Information Systems (OCIS) Division of the Academy of Management. He was nominated for the “Best Paper Award” at the International Conference on Electronic Commerce in 2007 and for the “Best Division Paper Award” at the Academy of Management in 2011 (Organization and Management Theory Division) and 2017 (Entrepreneurship Division) . Professor Hahn was named “Krannert Distinguished Teacher” numerous times in the MBA program at the Krannert Graduate School of Management and received the Faculty Teaching Excellence Award (FTEA) at NUS School of Computing in 2014. Professor Hahn’s service to the academic community was also recognized by being named “Outstanding Reviewer” for IEEE Internet Computing in 2002 and was awarded the “Best Reviewer Award” in 2009 by the INFORMS Information Systems Society for his outstanding service for Information Systems Research. He has served as Associate Editor of Information Systems Research and is currently a Senior Editor of MIS Quarterly.

Title:  AI and Its Transformative Impact: Implications for Computer Science and Software Engineering

Abstract:
Artificial Intelligence (AI) has evolved from a niche field to a cornerstone of technological advancement. This talk will explore the transformative impact of AI, emphasizing societal implications and responsible development. As AI technologies advance, they offer unprecedented opportunities for innovation but also present ethical and societal challenges. Addressing these challenges requires researchers, educators, and industry professionals to focus on the greater good of society. A key theme of this talk is a call-to-action to reorient AI research to prioritize societal good. Researchers must evaluate their work’s broader societal implications and strive to develop beneficial AI technologies. As educators, we must prepare future engineers for the development of responsible technologies. This talk aims to inspire researchers to consider their work’s societal implications and reorient their efforts toward creating ethical and beneficial AI technologies.

Dr.Patanamon (Pick) Thongtanunam

The University of Melbourne, Australia

      Dr. Patanamon (Pick) Thongtanunam is a Senior Lecturer and a course coordinator of the Master of Software Engineering program at the School of Computing and Information Systems, The University of Melbourne, Australia. Prior to that, she was a lecturer at the School of Computer Science, the University of Adelaide, Australia and a research fellow at Queen’s University, Canada. She received PhD and Master of Engineering degrees from Nara Institute of Science and Technology, Japan and received a Bachelor of Computer Engineering degree from Kasetsart University, Thailand.

      Pick’s research interests include empirical software engineering, data mining, and data-driven techniques to support software engineering tasks. Her primary research goals are directed towards uncovering empirical evidence, extracting knowledge from data recorded in software repositories, and developing automated approaches to support developers. She published most of her works at high-standing software engineering publication venues including IEEE Transactions on Software Engineering (TSE). Her research work and endeavour has received numerous prestigious awards including an Australian Research Council (ARC) Discovery Early Career Research Award (2021 – 2024), Japan Society for the Promotion of Science Research Fellowship (2016 – 2018),  ACM SIGSOFT Distinguished Paper award, IEEE Computer Society TCSE Distinguished Paper Award, as well as distinguished reviewer awards at the top-tier international software engineering conferences including the International Conference on Software Engineering (ICSE). She currently serves as a board member on the editorial board of the ACM Transactions on Software Engineering and Methodology (TOSEM) and a steering committee of the IEEE/ACM International Conference on Mining Software Engineering (MSR).

Title:  Uncovering Hidden Challenges: Designing Data-Driven Solutions for Real-World Software Engineering

Abstract: 
In the age of AI, a plethora of automated software engineering solutions has been proposed to enhance developer productivity and expedite the software engineering workflow. However, despite significant progress in addressing common software engineering problems, many practical challenges remain overlooked, leaving a considerable gap in supporting practitioners in overcoming these issues.

This keynote presentation will delve into a series of studies conducted by our research team, showcasing how we uncover challenges embedded within real-world software practices and design data-driven solutions. Specifically, the talk will focus on key areas in software engineering practices: agile planning, code reviews, and continuous integration (CI). By aiming to better align innovations with real-world problems, we aim to pave the way towards effective and pragmatic solutions for software engineering practices.