Constantine Dovrolis

Dr. Dickson is the Vassar Woolley Professor of Chemistry & Biochemistry and has been at Georgia Tech since 1998. He was a Senior Editor of The Journal of Physical Chemistry from 2010-2021, and his research has been continuously funded (primarily from NIH) since 2000. Dr. Dickson has developed quantitative bio imaging and signal recovery/modulation schemes for improved imaging of biological processes and detection of medical pathologies. His work on fluorescent molecule development and photoswitching of green fluorescent proteins was recognized as a key paper for W.E. Moerner’s 2014 Nobel Prize in Chemistry. Recently, Dr. Dickson’s lab has developed rapid susceptibility testing of bacteria causing blood stream infections. Their rapid recovery methods, coupled with rigorous multidimensional statistics and machine learning have led to very simple, highly accurate and fast methods for determining the appropriate treatment within a few hours after positive blood cultures. These hold significant potential for drastically improving patient outcomes and reducing the proliferation of antimicrobial resistance.
Santanu S. Dey is A. Russell Chandler III Professor and associate chair of graduate studies in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey holds a Ph.D. in Industrial Engineering from Purdue University. Prior to joining Georgia Tech, he worked as a post-doctoral fellow at the Center for Operations Research and Econometrics (CORE) of the Catholic University of Louvain in Belgium.
Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming. His research is partly motivated by applications of non convex optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming Workshop 2013 and Integer Programming and Combinatorial Optimization 2017, 2020. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an associate editor for Mathematics of Operations Research, Mathematical Programming A, and SIAM Journal on Optimization. He has been as associate editor for INFORMS Journal on Computing and an area editor for Mathematical Programming C.
Dr. Deo came to Georgia Tech in August 2007 as an Assistant Professor of Nuclear and Radiological Engineering. Prior, he was a postdoctoral research associate in the Materials Science and Technology Division of the Los Alamos National Laboratory. He studied radiation effects in structural materials (iron and ferritic steels) and nuclear fuels (uranium dioxide). He also obtained research experience at Princeton University (Mechanical Engineering), Lawrence Livermore National Laboratory, and Sandia National Laboratories.
Nuclear; Thermal Systems; Materials In Extreme Environments; computational mechanics; Materials Failure and Reliability; Ferroelectronic Materials; Materials Data Sciences
Richard DeMillo is the Charlotte B. and Roger C. Warren Professor of Computing at Georgia Tech. He was formerly the John P. Imlay Dean of Computing. Positions he has held prior to joining Georgia Tech include: Chief Technology Officer for Hewlett-Packard, Vice President of Computing Research for Bell Communications Research, Director of the Computer Research Division for the National Science Foundation, and Director of the Software Test and Evaluation Project for the Office of the US Secretary of Defense. He has also held faculty positions at the University of Wisconsin, Purdue University and the University of Padua, Italy. His research includes over 100 articles, books and patents in algorithms, software and computer engineering, cryptography, and cyber security. In 1982, he wrote the first policy for testing software intensive systems for the US Department of Defense. DeMillo and his collaborators launched and developed the field of program mutation for software testing. He is a co-inventor of Differential Fault Cryptanalysis and holds what is believed to be the only patent on breaking public key cryptosystems. He currently works in the area of election and voting system security. His work has been cited in court cases, including a 2019 Federal Court decision declaring unconstitutional the use of paperless voting machines. He has served as a foreign election observer for the Carter Center and is a member of the State of Michigan Election Security Commission. He has served on boards of public and private cybersecurity and privacy companies, including RSA Security and SecureWorks. He has served on many non-profit and philanthropic boards including the Exploratorium and the Campus Community Partnership Foundation (formerly the Rosalind and Jimmy Carter Foundation). He is a fellow of both the Association for Computing Machinery and the American Association for the Advancement of Science. In 2010, he founded the Center for 21st Century Universities, Georgia Tech’s living laboratory for fundamental change in higher education. He served as Executive Director for ten years. He was named Lumina Foundation Fellow for his work in higher education. His 2015 book Revolution in Higher Education, published by MIT Press, won the Best Education Book award from the American Association of Publishers and helped spark a national conversation about online education. He co-chaired Georgia Tech’s Commission on Creating the Next in Education. The Commission’s report was released in 2018. He received the ANAK Society’s Outstanding Faculty Member Award.
Munmun De Choudhury is currently an associate professor at the School of Interactive Computing, Georgia Tech. Munmun’s research interests are in computational social science, with a focus on reasoning about personal and societal well-being from social digital footprints.
Social Media; Social Computing; Computational Social Science; Mental Health; Natural Language
Bo Dai is a tenure-track assistant professor at Georgia Tech's School of Computational Science and Engineering. Prior to joining academia, he worked as a Staff Research Scientist at Google Brain. Bo Dai completed his Ph.D. in the School of Computational Science and Engineering at Georgia Tech, where he worked from 2013 to 2018 with Professor Le Song. His research focuses on developing principled and practical machine learning techniques for real-world applications. Bo Dai has received numerous awards for his work, including the best paper award at AISTATS 2016. He regularly serves as a (senior) area chair at major AI/ML conferences, such as ICML, NeurIPS, AISTATS, and ICLR.
Reinforcement Learning Data-Driven Decision Making Embodied AI
Eric joined PACE in 2021, and currently leads the Research Computing Facilitation team, after having worked as a Cyberinfrastructure Architect and RCF. Before joining PACE, Eric could be found at Indiana University as a systems engineer with the XSEDE Campus Bridging team, providing HPC-oriented consultations to institutions across the US. He also worked closely with the Cyberinfrastructure Research Center at IU, providing support for several different science gateway projects. Prior to that, his research in condensed matter physics at Florida State University involved computational studies of the optical properties of strongly correlated materials.