ARIF ANSARI was recently selected as a Leading Academic Data Leader for 2023 by Chief Data Officer (CDO) magazine.
FENG CHEN was a winner Marshall's first AI Faculty Challenge. She utilized AI tools to analyze an MBA case study, conduct profit analysis, draft recommendations for the restaurant's future development, and create presentation slides.
KIMON DRAKOPOULOS was tapped by the Greek government to sit on a new high-level advisory committee on Artificial Intelligence (AI), established to formulate policy recommendations and outline guidelines for a national strategy.
GRACE GU received two awards at the recent INFORMS Annual Meeting. Her paper with co-author Feng Zhu won the Management Science IS Best Paper Award for their “Trust and Disintermediation: Evidence from an Online Freelance Marketplace.” Additionally, her paper with co-authors Gaoyang Cai and Han Xia won the E-Business Best Paper Award for “Disintermediation Governance and Complementor Innovation: An Empirical Look at Amazon.com.” She was also named as a recipient of the 2023 Management Science Distinguished Service Award.
ADEL JAVANMARD's paper, “Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization” was accepted by Conference on Neural Information Processing Systems.
RAJ RAJAGOPALAN recently received the designation of the Richard and Jarda Hurd Chair Emeritus in Distribution Management and Professor Emeritus of Data Sciences and Operations (effective January 1, 2024).
MATTEO SESIA’s collaborative research proposal, titled “Democratizing Semiconductor Manufacturing through Generative AI Copilots,” was recently awarded a $100,000 grant from the Research & Innovation (R&I) Generative Artificial Intelligence (GenAI) Research Program. This is a collaborative proposal written with Co-Principal Investigators Rehan Kapadia (Electrical Engineering), Jayakanth Ravichandran (Electrical Engineering), Mahdi Soltanolkotabi (Electrical Engineering), and Swabha Swayamdipta (Computer Science) from Viterbi and Ian Ehrenreich (Biological Sciences) from Dornsife.
SOMYA SINGHVI, MIKA SUMIDA, and ANGELA ZHOU were each named as a recipient of the 2023 Management Science Meritorious Service Award by INFORMS.
XIN TONG, with co-authors, has a paper forthcoming in the Journal of the American Statistical Association that demonstrates how a multi-class classification framework can use a patients' biological features to predict the patients' COVID-19 disease severity.