Munmun De Choudhury is an Associate Professor at the School of Interactive Computing in Georgia Institute of Technology. Dr. De Choudhury is renowned for her groundbreaking contributions to the fields of computational social science, human-computer interaction, and digital mental health. Through fostering interdisciplinary collaborations across academia, industry, and public health sectors, Dr. De Choudhury and her collaborators have contributed significantly to advancing the development of computational techniques for early detection and intervention in mental health, as well as in unpacking how social media use benefits or harms mental well-being. De Choudhury's contributions have been recognized worldwide, with significant scholarly impact evidenced by numerous awards like induction into the SIGCHI Academy and the 2023 SIGCHI Societal Impact Award. Beyond her academic achievements, Dr. De Choudhury is a proactive community leader, a persistent contributor to policy-framing and advocacy initiatives, and is frequently sought for expert advice to governments, and national and international media.

Zahra Mobini is an Assistant Professor of Operations Management at Scheller College of Business. Her research interests revolve around the design and analysis of human-centric solutions to operations management problems, with a focus on healthcare operations. Using empirical and analytical methods, she studies how advancements in technology, regulations, and clinical protocols influence provider and patient behavior, and how to align their incentives for optimal outcomes. Her research has been supported by the Work in the Age of Intelligent Machines (WAIM) Research Fellowship with funding from the NSF's Future of Work at the Human-Technology Frontier Initiative. Her contributions have been recognized by the INFORMS Decision Analysis Society and POMS College of Healthcare Operations.

Zahra completed her PhD in Management Science - Operations Management at the UT Dallas Jindal School of Management and was a George Family Foundation postdoctoral fellow at Georgia Tech’s ISyE before joining Scheller.

Lynn Kamerlin received her Master of Natural Sciences from the University of Birmingham (UK), in 2002, where she remained to complete a PhD in Theoretical Organic Chemistry under the supervision of Dr. John Wilkie (awarded 2005). Subsequently, she was a postdoctoral researcher in the labs of Stefan Boresch at the University of Vienna (2005-2007), Arieh Warshel at the University of Southern California (2007-2009, Research Associate at the University of Southern California in 2010) and Researcher with Fahmi Himo (2010). She is currently a Professor and Georgia Research Alliance – Vasser Wooley Chair of Molecular Design at Georgia Tech, a Professor of Structural Biology at Uppsala University, a Fellow of the Royal Society of Chemistry. She has also been a Wallenberg Scholar, the recipient of an ERC Starting Independent Researcher Grant (2012-2017) and the Chair of the Young Academy of Europe (YAE) in 2014-2015. Her non-scientific interests include languages (fluent in 5), amateur photography and playing the piano.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University. His research focuses on developing machine learning and deep learning solutions for protein and small molecular design and engineering.
 

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Professor AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Multimedia and Sensors Lab (MSL) at Georgia Tech. In 2012, he was named the director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is a faculty member of the Center for Signal and Information Processing (CSIP). He also serves as the director of Georgia Tech’s initiatives and programs in MENA. He has authored and co-authored more than 170 articles in international journals and conference proceedings. He has been issued several U.S. patents and invention disclosures. He is a Senior Member of the IEEE.

Professor AlRegib received the ECE Outstanding Graduate Teaching Award in 2001 and both the CSIP Research and the CSIP Service Awards in 2003. In 2008, he received the ECE Outstanding Junior Faculty Member Award. In 2017, he received the 2017 Denning Faculty Award for Global Engagement.

Professor AlRegib has participated in many service activities. He is an area chair for ICME 2016/17 and the tutorial chair for ICIP 2016. He is a voted member of the IEEE SPS Technical Committees on Multimedia Signal Processing (MMSP) and Image, Video, and Multidimensional Signal Processing (IVMSP). He was a member of the editorial board of the Wireless Networks Journal (WiNET), 2009-2016 and the IEEE Transaction on Circuits and Systems for Video Technology (CSVT), 2014-2016. Currently, he is a member of the the editorial board of the Elsevier journal Signal Processing: Image Communications, 2015-present. He served as the chair of the Special Sessions Program at ICIP’06; the area editor for Columns and Forums in the IEEE Signal Processing Magazine (SPM), 2009–12; the associate editor for IEEE SPM, 2007-09; the tutorials co-chair in ICIP’09; a guest editor for IEEE J-STSP, 2012; a track chair in ICME’11; the co-chair of the IEEE MMTC Interest Group on 3D Rendering, Processing, and Communications, 2010-12; the chair of the Speech and Video Processing Track at Asilomar 2012; and the technical program co-chair of IEEE GlobalSIP, 2014. He is leading a team that is organizing the IEEE VIP Cup, 2017.

His research group, which consists of more than 20 students and researchers, is working on projects related to machine learning, image and video processing, image and video understanding, seismic imaging, perception in visual data processing, healthcare intelligence, and video analytics.

Professor AlRegib has provided services and consultation to several firms, companies, and international educational and R&D organizations. He has been a expert witness in a number of patent infringement cases.