Victor Fung is an Assistant Professor in the School of Computational Science and Engineering. Prior to this position, he was a Wigner Fellow and a member of the Nanomaterials Theory Insitute in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. A physical chemist by training, Fung now works at the intersection of scientific artificial intelligence, computing, and materials science/chemistry.

Lu Gan joined the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology as an Assistant Professor in January 2024. She leads the Lu's Navigation and Autonomous Robotics (Lunar) Lab at Georgia Tech, and is on the core faculty of the Institute for Robotics and Intelligent Machines. Her research interests include robot perception, robot learning, and autonomous navigation. Her group explores the use of computer vision, machine learning, estimation, probabilistic inference, kinematics and dynamics to develop autonomous systems in ground, air, and space applications.

She holds a B.S. in Automation from the University of Electronic Science and Technology of China, an M.S. in Control Engineering from Beihang University, and received her M.S. and Ph.D. in Robotics from the University of Michigan, Ann Arbor. Before joining Georgia Tech, she had a two-year appointment as a Postdoctoral Scholar at the Graduate Aerospace Laboratories of the California Institute of Technology and the Center for Autonomous Systems and Technologies at Caltech.

May Dongmei Wang, Ph.D., is The Wallace H Coulter Distinguished Faculty Fellow, professor of BME, ECE and CSE, Director of Biomedical Big Data Initiative, and Georgia Distinguished Cancer Scholar. She is also Petit Institute Faculty Fellow, Kavli Fellow, Fellow of AIMBE, Fellow of IEEE, and Fellow of IAMBE. She received BEng from Tsinghua University China and MS/PhD from Georgia Institute of Technology (GIT). Dr. Wang’s research and teaching are in Biomedical Big Data and AI-Driven Biomedical Health Informatics and Intelligent Reality (IR) for predictive, personalized, and precision health. She has published over 270 referred journal and conference proceeding articles (13,500+ GS-Citations) and delivered over 280 invited and keynote lectures. Dr. Wang’s research has been supported by NIH, NSF, CDC, GRA, GCC, VA, Children’s Healthcare of Atlanta, Enduring Heart Foundation, Wallace Coulter Foundation, Carol Ann and David Flanagan Foundation, Shriner’s Hospitals, Microsoft Research, HP, UCB, and Amazon.

Dr. Wang chairs IEEE Engineering in Medicine and Biology Society (EMBS) BHI-Technical Community and ACM Special Interest Group in Bioinformatics (SIGBio), and is the Senior Editor of IEEE Journal of Biomedical & Health Informatics (IF=7.02), and Associate Editor for IEEE Transactions on BME, and IEEE Review of BME. She was IEEE EMBS Distinguished Lecturer and PNAS (Proceeding of National Academy of Sciences) Emerging Area Editor. During the past decade, Dr. Wang has been a standing panelist for NIH Study Sections, NSF Smart and Connect Health, and Brain Canada, and has co-chaired and helped organize more than 10 conferences by IEEE Engineering in Medicine and Biologics  Gordon Research Conferences, ACM Special Interest Groups in Bioinformatics, and IEEE Future Directions.

Dr. Wang received GIT Outstanding Faculty Mentor for Undergrad Research Award and Emory University MilliPub Award for a high-impact paper cited over 1,000 times. She was selected into 2022 Georgia Tech LeadingWomen Program and 2021 Georgia Tech Provost Emerging Leaders Program. Previously, she was Carol Ann and David Flanagan Distinguished Faculty Fellow, GIT Biomedical Informatics Program Co-Director in ACTSI, and Bioinformatics and Biocomputing Core Director in NIH/NCI-Sponsored U54 Center for Cancer Nanotechnology Excellence.

Carl DiSalvo is an Associate Professor in the Digital Media Program in the School of Literature, Media, and Communication at the Georgia Institute of Technology. At Georgia Tech he directs the Public Design Workshop: a design research studio that explores socially engaged design and civic media. 

DiSalvo is also co-director of the Digital Interdisciplinary Liberal Arts Center and its Digital Civics initiative, funded by the Mellon Foundation, and he leads the Serve-Learn-Sustain Fellows program, which brings together faculty, staff, students, and community partners to explore pressing social research themes (the 2016-2017 themes are Smart Cities and Food, Energy, Water, Systems). He has a courtesy appointment in the School of Interactive Computing and is an affiliate of the GVU Center and the Center for Urban Innovation.  DiSalvo also coordinates the Digital Media track of the interdisciplinary M.S. in Human-Computer Interaction. 

DiSalvo’s scholarship draws together theories and methods from design research and design studies, the social sciences, and the humanities, to analyze the social and political qualities of design, and to prototype experimental systems and services. Current research domains include civics, smart cities, the Internet of Things, food systems, and environmental monitoring. Across these domains, DiSalvo is interested in how practices of participatory and public design work to articulate issues and provide resources for new forms of collective action.  

Areas of Expertise:

• Civic Media
• Design
• Design Studies
• Digital Civics
• Food Systems
• Public And Civic IoT
• Smart Cities

Greg Eisenhauer is a research scientist in the College of Computing at the Georgia Institute of Technology and Technical Director of the Center for Experimental Research in Computer Systems. His research focuses on data-intensive distributed applications in enterprise and high-performance systems. Technical topics of interest include: high-performance I/O for petascale machines; efficient methods for managing large-scale systems, techniques for runtime performance and behavior monitoring, understanding and control; middleware for high-performance data movement and in transit data processing, QoS-sensitive data streaming in pervasive and wide-area systems, and experimentation with representative applications in the high-performance computing and enterprise domains. He received the Bachelor's of Computer Science (1983) and a Master's of Computer Science (1985) from the University of Illinois, Urbana-Champaign. He received his Ph.D. from the Georgia Institute of Technology in 1998. His thesis work demonstrated object-based methods for efficient program monitoring and steering of distributed and parallel programs using event-based monitoring techniques and code annotations.

Rebecca "Beki" Grinter is a Professor of Interactive Computing in the College of Computing & (by courtesy) the Scheller College of Business at the Georgia Institute of Technology. Her research focuses on improving the experience of computing by understanding the human experience in the building and using of technologies. Her work contributes to the fields of human-computer interaction, ubiquitous computing, and computer supported cooperative work. She has also worked in the areas of robotics, networking, security, and software engineering. She has published over 80 scholarly articles, served as Papers Chair (2006) & Best Papers Chair (2010) for the ACM Conference on Human Factors in Computing Systems (CHI), the premier conference for human-computer interaction. In 2013 she was elected to the CHI Academy. In 2010 she was recognized as a Distinguished Alumna of the University of California, Irvine. Before joining the faculty at Georgia Tech, she was a Member of Research Staff in the Computer Science Laboratory of Xerox PARC and a Member of Technical Staff in the Software Production Research Department of Bell Laboratories. She was also a visiting scholar at Rank Xerox EuroPARC. She holds a Ph.D. and M.S. in Information and Computer Science both from the University of California, Irvine, and a B.Sc. (Hons) in Computer Science from the University of Leeds. Affiliations GVU Center

Mr. Drake is a senior research faculty member at GTRI in the Information and Communications Laboratory (ICL) and in the School of Computational Science and Engineering (CSE), College of Computing at Georgia Tech. At GTRI/ICL Mr. Drake is in the Innovative Computing Division where he serves as Technical Lead for the Algorithms and Analytics Branch. His interests include adaptive algorithms, learning machines, numerical linear algebra, and applying these technologies to solve real-world problems. Mr. Drake has been awarded patents and published numerous papers in the areas of optical computers, adaptive algorithms for signal processing, and adaptive machine learning methods. More recently, he has been performing research in the areas of Raman spectroscopy and text analytics, such as topic modeling, using matrix low-rank approxIMaTion methods. He is a member of the Georgia Tech/GTRI DARPA funded XDATA research team. Mr. Drake also served as cofounder of three startup companies and held positions at large Fortune 500 companies. He began his career as a mathematician at a federal laboratory, the Naval Ocean Systems Center (NOSC), San Diego, CA. Mr. Drake holds two Bachelor’s degrees in Mathematics and Forest Biology, a Master’s degree in Applied Mathematics all from the University of Washington, Seattle, WA, and attended Cornell University, Ithaca, NY, on a graduate fellowship from NOSC.

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.

Hang Lu received her B.S. from the University of Illinois, Urbana-Champaign and her M.S.C.E.P and Ph.D. from the Massachusetts Institute of Technology. She is currently the Associate Dean for Research and Innovation in the College of Engineering and C. J. "Pete" Silas Chair, School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Lu's research interests involve the interface of engineering and biology and her lab, the Lu Fluidics Group, is conducting research at these interface levels. The Lu Fluidics Group engineers BioMEMS (Bio Micro-Electro-Mechanical System) and microfluidic devices to address questions in neuroscience, cell biology, and biotechnology that are difficult to answer using conventional techniques.

Faces of Research - Profile Article

Maria Konte is a research scientist at the School of Computer Science at Georgia Tech and affiliated with its Institute for Information Security & Privacy. Her research is network security. Her work on network reputation as a measure to defend against cybercriminal infrastructures, appeared at ACM SIGCOMM15, and NANOG62 Research Track. She received the Passive and Active Measurement Conference Best Paper Award 2009 for her work on hosting infrastructures of malicious DNS domains. She received her Ph.D. in Computer Science from Georgia Tech in 2015. She holds an Master's in Systems Engineering from Boston University, and a Diploma in Eng. from the Industrial Engineering and Management Dept. at Technical University of Crete, Greece. She has interned at Damballa and Verisign Labs.