SMU’s IT Donations Receive Global Recognition for Outstanding Contributions in Software Engineering and Artificial Intelligence

SINGAPORE, July 1, 2021 (Thursday) – Professor David Lo and Associate Professor Akshat Kumar of the School of Computing and Information Systems (SCIS) have been recognized for their outstanding contributions and achievements in the fields of software engineering and intelligence artificial respectively.

Professor David Lo received the 2021 IEEE CS TCSE Distinguished Service Award for his extensive and outstanding service to the software engineering community in his many roles in leading software engineering conferences and journals. It is the first in Singapore and the second in Asia to have received this prestigious award.

The IEEE Computer Society is the world’s largest professional organization dedicated to computing, and the Technical Council on Software Engineering (TCSE) is the voice of software engineering within the IEEE and the Computer Society. TCSE aims to advance software engineering awareness and support education and training through conferences, workshops and other professional activities that contribute to the growth and enrichment of academics and professionals in the field. software engineering.

Associate Professor Akshat Kumar has been appointed a Principal Member of the Association for the Advancement of Artificial Intelligence (AAAI). He is one of nine global academics to have achieved this recognition and the only academic from Singapore and Asia to be among the 2021 laureates.

Senior membership status is designed to recognize AAIA members who have made significant achievements in the field of artificial intelligence. To be eligible for nomination as a senior member, applicants must have been consecutive members of AAIA for at least five years and have been active in the professional arena for at least ten years.

AAAI is a scientific society dedicated to advancing the scientific understanding of the mechanisms underlying intelligent thought and behavior and their embodiment in machines. It aims to promote research and responsible use of artificial intelligence.

Professor David Lo

Professor Lo said: “I am honored and honored to receive the IEEE CS TCSE Distinguished Service Award 2021. I would like to thank the hundreds of colleagues with whom I have worked in conference and journal organizations and at SCIS and SMU for their support. It has been a fun and rewarding trip to work with many wonderful colleagues from SCIS, SMU, Singapore and around the world to co-host over 30 international conferences. I especially remember the conferences that took place on the SMU campus . Thank you very much SCIS and SMU for supporting these events! ”

Professor Lo’s research lies at the intersection of software engineering and data science, also known as software analysis, encompassing the socio-technical aspects and analysis of different types of software artifacts. such as code, execution traces, bug reports, question-and-answer messages, user comments, and developer networks, and the interaction between them. He designs data science solutions that turn passive data into tools that improve developer productivity and system quality, and generate new information.

Professor Lo has published over 400 papers in conferences and peer-reviewed journals. His research has had an impact in several ways. Collectively, they have generated a lot of interest from the research community and have inspired many subsequent studies that push the frontiers of knowledge in the fields of software engineering and data science. This is evidenced by the more than 16,000 citations listed on Google Scholar, corresponding to an H index of 71. In addition, many of its research works are carried out with industrial partners, resulting in articles presenting cutting-edge solutions deployed. in practice, as well as unique knowledge of industrial software systems and processes. For example, in a recent article, Professor Lo and his coauthors presented an advanced system that is deployed in practice to detect emerging issues in the WeChat app by analyzing a stream of user comments.

In addition, Professor Lo has successfully trained 10 doctoral students, who have found employment in high-tech companies and world-class universities and research institutes around the world. Professor Lo’s research has also created collaborations (including many long-term collaborations) between SMU and other universities in more than 20 countries, resulting in work published in renowned conferences and / or journals in various fields of computer research.

In addition to his research work, Professor Lo has also actively contributed to the research community by co-organizing conferences and workshops, and by serving on program committees, program committees, steering committees and editorial boards of many leading conferences and journals. . For example, he has served as General Chair / Program Co-Chair of 10 international conferences, including the 31st IEEE / ACM International Conference on Automated Software Engineering, held on the SMU campus in 2016. He also sits on the committee of Writing of IEEE Transactions on Software Engineering, Empirical Software Engineering, IEEE Transactions on Reliability, Automated Software Engineering, Journal of Software: Evolution and Process, Information and Software Technology, Journal of Software Engineering Research and Development, Information Systems and Neurocomputing.

Professor Lo obtained his BS in Computer Engineering from Nanyang Technological University in 2004, and his PhD in Computer Science from National University of Singapore in 2008. He joined the School of Information Systems (former name of SCIS) in as a speaker in May 2008. In April 2020, Prof. Lo co-founded the Research Lab for Intelligent Software Engineering (RISE) which conducts research at the intersection of software engineering, artificial intelligence and cybersecurity in the aim of improving the quality of software and reducing software costs.

Professor Lo was awarded the Lee Foundation Fellowship in 2009, the Lee Kong Chian Fellowship in 2018, and the Lee Kuan Yew Fellowship in 2019 at SMU. It also received 17 international research and service awards, including 11 best article / distinctive awards.

In addition to his current research on software analysis, Professor Lo wishes to address an emerging problem: how best to adapt the software engineering processes and tools that are currently used to design conventional software for the development of AI systems. AI is advancing rapidly and has been, or will be, integrated into many systems that humans interact with on a daily basis, such as self-driving cars. Its immediate future goal is to study and characterize the limits of current best practices and tools for the development of AI systems, and to design new solutions that address these limits.

Associate Professor Akshat Kumar

Assoc Prof Kumar said: “I am very honored to be selected as a senior member of AAIA. I am fortunate to have excellent mentors, students and collaborators throughout my career, and an intellectually stimulating work environment at SMU’s School of Computing and Information Systems. I am very grateful for their continued support and collaboration which is invaluable to my research and my academic career. “

Prof. Kumar’s research focuses on planning and decision-making under uncertainty, with an emphasis on multi-agent systems and the optimization of urban systems. His work focuses on our society and our rapidly interconnected urban environments, from personal digital assistants to autonomous taxi fleets and autonomous ships, and develops computational techniques that will allow such a complex ecosystem of autonomous agents to function in a coordinated fashion. In recent years, Professor Kumar’s work has addressed various challenges in urban contexts as diverse as scalability to thousands of agents, uncertainty and partial observability, and value for money.

In addition to academic contributions, Professor Kumar also participated in the Fujitsu-SMU Urban Computer and Engineering Corporate Lab from 2014 to 2019. With his collaborators, he designed maritime simulators and new intelligent planning algorithms. capable of coordinating maritime traffic in the Singapore Strait for better navigation safety. These simulators and approaches are based on studying the actual location data of ships entering Singapore waters over a long period of time. The results of these studies have been published in major AI conferences.

Prior to joining the School of Information Systems (former name of SCIS) in 2014, Professor Kumar was a researcher at the IBM Research Laboratory in New Delhi. He received his BA from the Indian Institute of Technology Guwahati, India, and his MA and PhD from the University of Massachusetts Amherst, all in computer science.

During his ten-year long career in AI, Professor Kumar has published over 40 papers in conferences and peer-reviewed journals.

Professor Kumar’s work has received numerous awards, including the Best Thesis Award at the International Conference on Automated Planning and Planning (ICAPS 2014) and a Second Prize at the International Conference on Autonomous Agents and Multi-Agent Systems ( AAMAS 2013). Her work also received the Outstanding Application Paper Award at ICAPS 2014, and the Best Paper Award at the 2017 AAAI Conference on Artificial Intelligence in Computing Sustainability. All of these conferences are among the leading conferences in the field of AI. At SMU, he was awarded the Lee Kong Chian Fellowship in 2017 for his sustained contributions to research at SMU.

In his future research, Professor Kumar sees multi-agent systems becoming increasingly relevant with the adoption of the Internet of Things. He is particularly excited about several research challenges that arise with unprecedented connectivity, such as addressing the problem of scale, ensuring safe cohabitation of humans and autonomous agents, and ensuring coordination in the presence of cooperating and competing agents. .


Gordon K. Morehouse