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Keynote Lectures

Exploring AI Capabilities in Operations Management: Going from a bibliometric analysis to Empirical Studies
Samuel Fosso Wamba, Toulouse Business School, France

Modern Computing for Smart Industries
Sukhpal Singh Gill, Queen Many University of London, United Kingdom

Towards a Responsible Thinking in the New Era of Gen AI: Walking the Walk
Mona Diab, Carnegie Mellon University, United States

 

Exploring AI Capabilities in Operations Management: Going from a bibliometric analysis to Empirical Studies

Samuel Fosso Wamba
Toulouse Business School
France
 

Brief Bio
Dr. Samuel Fosso Wamba is the Associated Dean of Research at TBS Education, France. He is also a Distinguished Visiting Professor at The University of Johannesburg, South Africa, and at the UCSI Graduate Business School, UCSI University, Malaysia. He earned his Ph.D. in industrial engineering at the Polytechnic School of Montreal, Canada. His current research focuses on the business value of information technology, inter-organizational systems adoption, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. He leads the Center of Excellence in Artificial Intelligence & Business Analytics at TBS Education. He is among the 2% of the most influential scholars globally based on the Mendeley database that includes 100,000 top scientists for 2020, 2021, and 2022. He ranks in ClarivateTMs 1% most cited scholars in the world for 2020, 2021, and 2022 and in CDO Magazine's Leading Academic Data Leaders 2021. Based on the Research.com 2021 ranking, he is France's 3rd top business and management scientist.


Abstract
Artificial intelligence (AI) has been seen as the next productivity frontier for its high capability to transform almost all aspects of intra-and-inter-organizational operations across industries. Yet very few empirical studies have been conducted to assess the actual value of AI. This talk will first present some insights from a bibliometric analysis of 40147 documents retrieved from the Web of Science database dealing with a "good AI society." Then, we will present and discuss some of the findings from a sample of our recent empirical studies, including one study that investigates the impacts of AI assimilation on firm performance. Then, the study explores the mediating effects of organizational and customer agility on the relationship between AI assimilation on firm performance, using a sample of 205 supply chain executives in the USA. The second study will look at the impacts of AI-enabled entrepreneurial capabilities on innovation and performance using a sample of 303 IT and business decision-makers in the USA. Finally, we will discuss some potential research opportunities related to AI-enabled operations management.



 

 

Modern Computing for Smart Industries

Sukhpal Singh Gill
Queen Many University of London
United Kingdom
 

Brief Bio
Dr. Sukhpal Singh Gill is an Assistant Professor of Cloud Computing at the School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL), UK. Prior to this, Dr. Gill has worked at Lancaster University, UK, and the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Australia. He was awarded Fellow of the Higher Education Academy (FHEA) in 2022. He was the winner of the Queen Mary University Education Excellence Award 2023 and the EECS 2023 Award for Widest Academic Staff Contribution at QMUL. Dr. Gill received his Bachelor’s degree in Computer Science and Engineering with Distinction in 2010, the Degree of Master of Engineering in Software Engineering (Gold Medalist) in 2013, as well as a Doctoral Degree specialization in Autonomic Cloud Computing (DST INSPIRE Fellow) in 2016. Dr. Gill was a research visitor at Monash University, the University of Manitoba, the University of Manchester, and Imperial College London. He was a recipient of several awards, including the Distinguished Reviewer Award from Software: Practice and Experience (Wiley), 2018 and the Best Paper Award AusPDC at ACSW 2021. He has also served as the PC member for venues such as IEEE PerCom, UCC, Euro-Par, CCGRID, CLOUDS, ICFEC, and AusPDC. His one review paper has been nominated and selected for the ACM 21st annual Best of Computing Notable Books and Articles as one of the notable items published in computing – 2016. He has co-authored 150+ peer-reviewed papers (with Citations 8000+ and H-index 45+ as per Google Scholar) and has published in prominent international journals and conferences such as ACM CSUR, IEEE COMST, IEEE TCC, IEEE TSC, IEEE TSUSC, IEEE TCE, ACM TOIT, IEEE TII, IEEE TNSM, IEEE IoT Journal, Elsevier JSS/FGCS, IEEE/ACM UCC, and IEEE CCGRID. Dr. Gill served as a Guest Editor for SPE (Wiley), JCC Springer Journal, Sustainability Journal (MDPI) and Sensors Journal (MDPI). He is a regular reviewer for IEEE TPDS, IEEE TSC, IEEE TNSE, IEEE TSC, ACM CSUR, and Wiley SPE. Dr. Gill has reviewed 680+ research articles from high ranked journals and prestigious conferences as per the Web of Science. He has edited research books for Elsevier, Springer, and CRC Press. Dr. Gill is serving as an Associate Editor in the IEEE IoT Journal, Elsevier IoT Journal, Wiley SPE Journal, Wiley ETT Journal, and IET Networks Journal. Dr. Gill is Editor-in-Chief of IGI Global IJAEC and an Area Editor for the Springer Cluster Computing Journal. His name appears in the list of the World’s Top 2% of Scientists released by Stanford University and Elsevier BV (2022 and 2023). Dr. Gill has been serving as an editorial board member for IGI Global JOEUC, and MECS IJEME. One of his articles published by the IEEE IoT Journal is highlighted in IEEE Spectrum (the world’s leading engineering magazine). Dr. Gill wrote articles for international magazines such as Ars Technica, Tech Monitor, Cutter Consortium, and ICT Academy. He has been interviewed by Tallinn University, Estonia, to talk about “The capabilities and limitations of ChatGPT for Education“. His research interests include Cloud Computing, Edge Computing, Software Engineering, Internet of Things and Energy Efficiency.


Abstract
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments such as the Internet and the commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving and adapting to cover multifaceted societal niches. This has led to new paradigms such as cloud, fog, edge computing, and the Internet of Things (IoT), which offer fresh economic and creative opportunities. This talk will first present the factors influencing the evolution of computing systems, covering established systems and architectures as well as newer developments, such as serverless computing, quantum computing, and on-device AI on edge devices. Finally, this talk on modern computing systems looks ahead to the future of research in the field, highlighting key challenges and emerging trends and underscoring their importance in cost-effectively driving technological progress for smart industries.



 

 

Towards a Responsible Thinking in the New Era of Gen AI: Walking the Walk

Mona Diab
Carnegie Mellon University
United States
 

Brief Bio
Mona Diab is recently selected as ACL Fellow, and is Full Professor and the Director of the Language Technologies Institute within the school of Computer Science at Carnegie Mellon University (CMU), in Pittsburgh, USA. She directs the R3LIT (read relit) Lab. Prior to joining CMU, she was a Lead Responsible AI Research Scientist with Meta, and full Professor of Computer Science at the George Washington University, where she directed the CARE4Lang NLP Lab. Before joining Meta, she led the Lex Conversational AI project within Amazon AWS AI. Her current focus is on Responsible AI and how to operationalize it for NLP technologies. Her interests span building robust technologies for low resource scenarios with a special interest in Arabic technologies, (mis) information propagation, computational socio-pragmatics, computational psycholinguistics, NLG evaluation metrics, Language modeling and resource creation. Mona has served the community in several capacities: Elected President of SIGLEX and SIGSemitic, and the elected President of ACL SIGDAT, the board supporting EMNLP conferences. She helped establish two research trends in NLP, namely computational approaches to Code Switching and Semantic Textual Similarity. She is also a founding member of the SEM conference, one of the top tier conferences in NLP. Mona has published more than 250 peer reviewed articles.


Abstract
In a world of racing to get the best systems on leaderboards, winning best shared tasks, building the largest LLM, are we losing our soul as a scientific enterprise? Do we need to re-orient and re-pivot NLP? If so, what is needed to make this happen? Can we chart together a program where we ensure that science is the pivotal ingredient in CL/NLP? Could Responsible NLP be an avenue that could lead us back towards that goal? In this talk, in the spirit of my Responsible Thinking mission, I will explore some "practical" ideas around framing a Responsible NLP vision hoping to achieve a higher scientific standard for our field, addressing issues from the "how" we conduct our research and venturing into the "what" we work on and produce using tenets from responsible mindset perspective.



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