Dragomir Davidovic's research focuses on the exploration of physical properties that emerge in objects when their size approaches nanometer-scale. The objects of study are metallic or insulating particles, molecules, atomic-scale diameter wires, and droplets of one phase surrounded by another phase. Recent advances in lithography enable attachment of these objects to larger scale conducting electrodes, making it possible to explore their physical properties by electronic transport. The properties of nanoscale objects can be fundamentally different from those in bulk. As an example, whereas in bulk metals, the energy spectrum of conduction electrons is continuous, in metallic nanoparticles the spectrum is discrete. As a result, metallic nanoparticles are more like atoms than bulk metals, and nanoparticles are commonly referred to as artificial atoms.

Chen has an extensive research interests in environmental science and engineering. More specifically, he is a leading researcher in the environmental applications of nanomaterials and their potential fate, transport, transformation, bioaccumulation and toxicity in the environment. His interests in environmental nanomaterials dated back in his graduate research in 1992. He has also been active on algae based bio-renewable energy and sustainable urban development. Chen has been principle and co-principal investigators for 28 research projects (by June 2010) funded by the National Science Foundation, U.S. Environmental Protection Agency, NASA, Boeing and other organizations. The total funds are $7 million. He has also served as a review member or panel review member in the U.S. National Science Foundation, the U.S. Environmental Protection Agency, the U.S. Department of Energy evaluation committee. He has also been invited to serve as an abroad review expert for the China Changjiang Scholars Program (which is to awarded to the top researchers in China). He has published more than 40 papers and two book chapters in this field.

Chen received his Ph.D in Nankai University, China. He joined the Georgia Tech School of Civil and Environmental Engineering in May 2009.

Wenshan Cai joined the faculty of the Georgia Institute of Technology in January 2012 as an associate professor in the School of Electrical and Computer Engineering, with a joint appointment in the School of Materials Science and Engineering. Prior to this, he was a postdoctoral fellow in the Geballe Laboratory for Advanced Materials at Stanford University. His scientific research is in the area of nanophotonic materials and devices, in which he has made a major impact on the evolving field of plasmonics and metamaterials. Cai has published more than 50 papers in peer-reviewed journals, and the total citations of his recent papers have reached approxIMaTely 10,000 within the past 10 years. He authored the book, Optical Metamaterials: Fundamentals and Applications, which is used as a textbook or a major reference at many universities around the world. He received his B.S. and M.S. degrees from Tsinghua University in 2000 and 2002, respectively, and his Ph.D. from Purdue University in 2008, all in electrical/electronic engineering. Cai is the recipient of several national and international distinctions, including the OSA/SPIE Joseph W. Goodman Book Writing Award (2014), the CooperVision Science & Technology Award (2016), and the Office of Naval Research Young Investigator Award (2017).

Marilyn Brown is a Regents' and Brook Byers Professor of Sustainable Systems in the School of Public Policy. She joined Georgia Tech in 2006 after a distinguished career at the U.S. Department of Energy's Oak Ridge National Laboratory, where she led several national climate change mitigation studies and became a leader in the analysis and interpretation of energy futures in the United States. 

Her research focuses on the design and impact of policies aimed at accelerating the development and deployment of sustainable energy technologies, with an emphasis on the electric utility industry, the integration of energy efficiency, demand response, and solar resources, and ways of improving resiliency to disruptions. Her books include Fact and Fiction in Global Energy Policy (Johns Hopkins University Press, 2016), Green Savings: How Policies and Markets Drive Energy Efficiency (Praeger, 2015), and Climate Change and Global Energy Security (MIT Press, 2011). She has authored more than 250 publications. Her work has had significant visibility in the policy arena as evidenced by her numerous briefings and testimonies before state legislative bodies and Committees of both the U.S. House of Representatives and Senate.

Dr. Brown co-founded the Southeast Energy Efficiency Alliance and chaired its Board of Directors for several years. She has served on the Boards of the American Council for an Energy-Efficient Economy and the Alliance to Save Energy, and was a commissioner with the Bipartisan Policy Center. She has served on eight National Academies committees and is an Editor of Energy Policy and an Editorial Board member of Energy Efficiency and Energy Research and Social Science. She served two terms (2010-2017) as a Presidential appointee and regulator on the Board of Directors of the Tennessee Valley Authority, the nation’s largest public power provider. From 2014-2018 she served on DOE’s Electricity Advisory Committee, where she led the Smart Grid Subcommittee.

Dr. Boukouvala is originally from Piraeus, which is the port of Athens in Greece. As the daughter of an airforce pilot, she travelled a lot with her family. Her first international move was actually to the USA, where she spent one year in Montgomery, Alabama. She later on lived in Riyadh, Saudi Arabia and Crete, Greece, before returning to Athens to get her B.S Degree in Chemical Engineering from the National Technical University in Athens. In 2008, she moved back to the US to obtain a PhD in Chemical Engineering at Rutgers University in NJ. She then worked as a Postdoctoral Associate in both Princeton University and Texas A&M University. In August 2016, Dr. Boukouvala returned to the South East US, as an Assistant Professor in the School of Chemical & Biomolecular Engineering at Georgia Tech. 

Her research interest in Process Systems Engineering (PSE) started during her PhD years, where she worked under the supervision of Dr. Marianthi Ierapetritou, on modeling and optimization of continuous pharmaceutical manufacturing. Her background on optimization and data-driven modeling was enhanced during her years as a postdoc with the late Christodoulos A. Floudas. Dr. Boukouvala is a proud 4th generation member of the academic family tree of the father of PSE, Roger Sargent.

Andreas (Andy) S. Bommarius is a professor of Chemical and Biomolecular Engineering as well of Chemistry and Biochemistry at the Georgia Institute of Technology in Atlanta, GA.  He received his diploma in Chemistry in 1984 at the Technical University of Munich, Germany and his Chemical Engineering B.S. and Ph.D. degrees in 1982 and 1989 at MIT, Cambridge, MA.

From 1990-2000, he led the Laboratory of Enzyme Catalysis at Degussa (now Evonik) in Wolfgang, Germany, where his work ranged from immobilizing homogenous catalysts in membrane reactors to large-scale cofactor-regenerated redox reactions to pharma intermediates.

At Georgia Tech since 2000, his research interests cover green chemistry and biomolecular engineering, specifically biocatalyst development and protein stability studies.  His lab applies data-driven protein engineering to improve protein properties on catalysts ranging from ene and nitro reductases to cellobiohydrolases.  Bommarius has guided the repositioning of the curriculum towards Chemical and Biomolecular Engineering by developing new courses in Process Design, Biocatalysis and Metabolic Engineering, as well as Drug Design, Development, and Delivery (D4), an interdisciplinary course with Mark Prausnitz.

Andy Bommarius in 2008 became a Fellow of the American Institute of Medical and Biological Engineering.  Since 2010, he is Director of the NSF-I/UCR Center for Pharmaceutical Development (CPD), a Center focusing on process development, drug substance and product stability, and novel analytical methods for the characterization of drug substances and excipients.

Raheem Beyah, Ph.D., is associate chair for Strategic Initiatives and Innovation, and the Motorola Foundation Professor in the School of Electrical & Computer Engineering at the Georgia Institute of Technology. His research is at the intersection of the networking and security fields. He leads the Georgia Tech Communications Assurance and Performance Group (CAP), which develops algorithms that enable a more secure network infrastructure with computer systems that are more accountable and less vulnerable to attacks. Through experimentation, simulation, and theoretical analysis, CAP provides solutions to current network security problems and to long-range challenges as current networks and threats evolve. Dr. Beyah has served as guest editor and associate editor of several journals in the areas of network security, wireless networks, and network traffic characterization and performance. He received the National Science Foundation CAREER award in 2009 and was selected for DARPA's Computer Science Study Panel in 2010. He is a member of NSBE, ASEE, and is a senior member of IEEE and ACM. Beyah is a native of Atlanta, Georgia. He received his Bachelor of Science in Electrical Engineering from North Carolina A&T State University in 1998. He received his Master's and Ph.D. in Electrical and Computer Engineering from Georgia Tech in 1999 and 2003, respectively. Prior to returning to Georgia Tech, Dr. Beyah was a faculty member in the Department of Computer Science at Georgia State University, a research faculty member with the Georgia Tech Communications Systems Center (CSC), and a consultant in Andersen Consulting's (now Accenture) Network Solutions Group.

Prof. AlRegib is currently the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His group is the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) at Georgia Tech. In 2012, he was named the Director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is the director of the Center for Signal and Information Processing (CSIP). He also served as the Director of Georgia Tech’s Initiatives and Programs in MENA between 2015 and 2018. He has authored and co-authored more than 300 articles in international journals and conference proceedings. He has been issued several U.S. patents and invention disclosures. He is a Fellow of the IEEE.

Prof. 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. He and his students received the Beat Paper Award in ICIP 2019. He received the 2024 ECE Distinguished Faculty Achievement Award at Georgia Tech. He and his students received the Best Paper Award in ICIP 2019 and the 2023 EURASIP Best Paper Award for Image communication Journal.

Prof. AlRegib participated in a number of activities. He has served as Technical Program co-Chair for ICIP 2020 and ICIP 2024. He served two terms as a member of the IEEE SPS Technical Committees on Multimedia Signal Processing (MMSP) and Image, Video, and Multidimensional Signal Processing (IVMSP), 2015-2017 and 2018-2020. He was a member of the Editorial Boards of both the IEEE Transactions on Image Processing (TIP), 2009-2022, and the Elsevier Journal Signal Processing: Image Communications, 2014-2022. 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. He was an Area Chair for ICME 2016/17 and the Tutorial Chair for ICIP 2016. 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 lead a team that organized the IEEE VIP Cup, 2017 and the 2023 IEEEE VIP Cup. He delivered short courses and several tutorials at international events such as BigData, NeurIPS, ICIP, ICME, CVPR, AAAI, and WACV.

In the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), he and his group work on robust and interpretable machine learning algorithms, uncertainty and trust, and human in the loop algorithms. The group studies interventions into AI systems to enhance their trustworthiness. The group has demonstrated their work on a wide range of applications such as Autonomous Systems, Medical Imaging, and Subsurface Imaging. The group is interested in advancing the fundamentals as well as the deployment of such systems in real-world scenarios. His research group is working on projects related to machine learning, image and video processing, image and video understanding, subsurface imaging, perception in visual data processing, healthcare intelligence, and video analytics. The primary applications of the research span from Autonomous Vehicles to Portable AI-based Ophthalmology and Eye Exam and from Microscopic Imaging to Seismic Interpretation. The group was the first to introduce modern machine learning to seismic interpretation.

In 2024, and after more than three years of continuous work, he co-founded Georgia Tech’s AI Makerspace. The AI Makerspace is a resource for the entire campus community to access AI. Its purpose is to democratize access to AI. Together with his team, they are developing tools and services for the AI Makerspace via a VIP Team called AI Makerspace Nexus. In addition, he created two AI classes from scratch with innovative hands-on exercises using the AI Makerspace. One class is the ECE4252/8803 FunML class (Fundamentals of Machine Learning) where students learn the basics of Machine Learning as well as eight weeks of Deep learning both mathematically and using hands-on exercises on real-world data. The second class is a sophomore-level AI Foundations class (AI First) that teaches any student from any college the basics of AI such as data literacy, learning, decision, planning, and ethics using theory and hands-on exercises on the AI Makerspace. Prof. AlRegib wrote two textbooks for both classes.

Prof. AlRegib has provided services and consultation to several firms, companies, and international educational and R&D organizations. He has been a witness expert in a number of patents infringement cases and Inter Partes Review (IRP) cases.