Anju Toor is a researcher in nanomaterials for energy systems. She was a Bakar Innovation Fellow at the University of California, Berkeley, and worked on printed on-chip integrated micro batteries. She earned an M.S. in Electrical Engineering and a Ph.D. in Mechanical Engineering at University of California, Berkeley.

Her research focuses on advanced energy materials, printed electronics, energy storage systems, and nanoparticle self-assembly. She has led research on flexible and stretchable batteries for next-generation Augmented/Virtual Reality applications at Meta Reality Labs. She was named EECS Rising Star and selected for The Rising Stars Women in Engineering Workshop in Asia.

As an expert in self-assembly and energy materials, she has published over 20 research publications in the most reputed platforms in the field.

Dr. Aidun joined the Woodruff School as a Professor in 2003 after completion of a two-year period as program director at the National Science Foundation. He began at Tech in 1988 as an Assistant Professor at the Institute of Paper Science and Technology. Prior, he was a research Scientist at Battelle Research Laboratories, Postdoctoral Associate at Cornell University and Senior Research Consultant at the National Science Foundation's Supercomputer Center at Cornell. 

Dr. Aidun's research is at the intersection between fundamentals of the physics of complex fluids/thermal transport and applications to engineering and biotransport. He has a diverse research portfolio in fluid mechanics, bioengineering, renewable bioproducts and decarbonization of industrial processes. 

A major focus has been to understand the physics of blood cell transport and interaction with glycoproteins (e.g., vWF) with applications to cardiovascular diseases.

Chuanyi Ji received the B.S. (Honors) from Electronics Department Tsinghua University in 1983, the M.S. from Electrical Engineering, University of Pennsylvania in 1986, and the Ph.D. from Electrical Engineering California Institute of Technology in 1992. She joined the faculty at Rensselaer Polytechnic Institute in 1991. She spent a sabbatical year at Bell-Labs Lucent in 1999, and was a visiting faculty at MIT in the fall of 2000. She is an Associate Professor at School of ECE Georgia Institute of Technology, which she joined in 2001. 

Research

• Large-scale data analytics, modeling and learning algorithms in a networked setting
• Both real-world application and methodology development, to quantify resilience, decision making and equity for energy networks and communities
• Work reported as among the pioneering research that learns from heterogeneous data on  operational energy grid, severe weather, and communities (join us)

Distinctions & Awards

• One of the favorite papers published in Nature Energy in the past five years, selected by the editors at Nature Energy, 2021
• Early Career Award, RPI 2000
• NSF Career Award, 1995
• Ming Li Scholarship, Caltech 1989
• Honor graduate, Tsinghua University, 1983

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.

Bjarne Kreitz is an incoming Assistant Professor of Chemical Engineering at Georgia Tech. Kreitz received a B.Sc. and M.Sc. in Chemical Engineering from Clausthal University of Technology (Germany). He obtained his Dr.-Ing. in Chemical Engineering from Clausthal University of Technology under the supervision of Prof. Thomas Turek, working on the microkinetic investigation of the transient methanation with experiments and multiscale modeling. 

Kreitz conducted postdoctoral work at Brown University with Prof. Franklin Goldsmith with a Feodor Lynen Postdoctoral Scholarship from the Alexander von Humboldt Foundation. Before joining Brown, he worked briefly as a postdoc at the Karlsruhe Institute of Technology (Germany) in the group of Prof. Olaf Deutschmann.

Qi Tang comes to Georgia Tech from Los Alamos National Laboratory where he was a staff scientist in the Applied Mathematics and Plasma Physics Group. Before joining LANL in 2018, he was an Eliza Ricketts Foundation Postdoctoral Fellow at Rensselaer Polytechnic Institute. Tang completed his Ph.D. at Michigan State University in 2015. His research interests include: computational plasma physics, fusion simulations, scalable numerical algorithms, multi-physics and multi-scale problems, and scientific machine learning.

Beckett Y. Zhou is an Assistant Professor at the Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology. His research team focuses on developing efficient aerodynamic and aeroacoustics simulation and optimization frameworks, supported by multi-fidelity methodologies and data-driven methods. 

Zhou received his master's degree from MIT in 2012 and his Ph.D. from the RWTH Aachen University in 2018 with a thesis entitled ‘Numerical Optimization for Airframe Noise Reduction. He subsequently performed post-doctoral research with NASA Langley Research Center (hosted by the National Institute of Aerospace) on the topic of adjoint-based broadband noise reduction via stochastic noise generation. He was a Lecturer in Aeroacoustics at the University of Bristol between March 2021 and October 2024, leading the computational aeroacoustics research in the Department of Aerospace Engineering.

Sen Na is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. Prior to joining ISyE, he was a postdoctoral researcher in the Department of Statistics and the International Computer Science Institute (ICSI) at University of California, Berkeley, working with Michael W. Mahoney. He received his Ph.D. in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending University of Chicago, he received his B.S. in mathematics from Nanjing University in 2016. 

Na is broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. He is also interested in the broad applications of machine learning methods in biology, neuroscience, and engineering. 

Na has received multiple awards, including the prestigious William Rainey Harper Dissertation Fellowship from UChicago and the 2023 MAPR Meritorious Service Award from the Mathematical Optimization Society.

Julia Yang, Ph.D. is an Assistant Professor in the School of Chemical and Biomolecular Engineering at Georgia Tech. Her research has enabled fundamental understanding of battery materials by advancing computational approaches to resolve transport in disordered electrodes and explain reactivity in organic electrolytes. She is a co-author on more than 14 publications and four patents, a recipient of the Harvard University Center for the Environment Fellowship (2022-2024), and a NextProf Nexus alum (2023). She is deeply committed to educating the next generation of diverse minds by prioritizing equity, inclusivity, and belonging, starting from within the classroom and beyond. 

Prof. Yang received her B.S. in Materials Science and Engineering, with an additional major in Physics, from Carnegie Mellon University and her Ph.D. in Materials Science and Engineering from U.C. Berkeley as an NDSEG Fellow under the guidance of Prof. Gerbrand Ceder. During her graduate studies, she was an AI Resident with X, the Moonshot Factory. She led postdoctoral work at Harvard University as an Environmental Fellow working with Prof. Boris Kozinsky and collaborating with Prof. Ah-Hyung Alissa Park.