Alan Ritter

Associate Professor Alan Ritter
alan.ritter@cc.gatech.edu

Alan Ritter is an associate professor in the School of Interactive Computing at Georgia Tech. His research interests include natural language processing, information extraction, and machine learning. He completed his Ph.D. at the University of Washington and was a postdoctoral fellow in the Machine Learning Department at Carnegie Mellon.  His research aims to solve challenging technical problems that can help machines learn to read vast quantities of text with minimal supervision.  His work has been featured in the press including WIRED, TNW and VentureBeat.  Alan is the recipient of an NSF CAREER, an Amazon Research Award, a Sony Faculty Innovation Award, and several paper awards presented at the Annual Meeting of the Association for Computational Linguistics.

Associate Professor
Office
CODA 1157B
Additional Research
  • AI
  • Large Language Models
  • Natural Language Processing
IRI and Role
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Data Engineering and Science
  • Algorithms and Optimization
  • Machine Learning

Alberto Dainotti

Associate Professor Alberto Dainotti
dainotti@gatech.edu

Alberto Dainotti is an Associate Professor in the School of Computer Science at the College of Computing at Georgia Tech where is the Director of the Internet Intelligence Lab. His research is at the intersection of Internet measurement, data science and cybersecurity. He is interested in understanding when and how Internet infrastructure can fail and proposing remedies. To this end, he develops methods and builds near-real-time streaming data analytics systems (IODA, BGPStream, GRIP) that combine diverse data to monitor and improve Internet infrastructure security and reliability. He is also interested in understanding political motivations and implications of Internet cybersecurity events and phenomena. Before joining Georgia Tech, he was an Associate Research Scientist and Principal Investigator at CAIDA, the Center for Applied Internet Data Analysis at the San Diego Supercomputer Center, University of California San Diego. He received my Ph.D. in Computer Engineering and Systems at University of Napoli "Federico II", Italy, in 2008.

Associate Professor
Phone
Office
Klaus Advanced Computing Building, #3336
Additional Research
  • Data Analytics
  • Internet Data Science
  • Internet & Democracy
  • Networking, Systems, Security
  • Network Measurements

 

IRI and Role
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Research Areas
Data Engineering and Science
  • High Performance Computing

Vijay Ganesh

Vijay Ganesh, Professor of Computer Science
vganesh@gatech.edu

Dr. Vijay Ganesh is a professor of computer science at the Georgia Institute of Technology. Prior to joining Georgia Tech in 2023, Vijay was a professor at the University of Waterloo in Canada from 2012 to 2023 and a research scientist at the Massachusetts Institute of Technology from 2007 to 2012. Vijay completed his PhD in computer science from Stanford University in 2007. Vijay's primary area of research is the theory and practice of SAT/SMT solvers, and their application in AI, software engineering, security, mathematics, and physics. In this context he has led the development of many SAT/SMT solvers, most notably, STP, Z3str4, AlphaZ3, MapleSAT, and MathCheck. He has also proved several decidability and complexity results in the context of first-order theories. More recently he has started working on topics at the intersection of learning and reasoning, especially the use of machine learning for efficient solvers, and the use of solvers aimed at making AI more trustworthy, secure, and robust. For his research, Vijay has won over 30 awards, honors, and medals to-date, including an ACM Impact Paper Award at ISSTA 2019, ACM Test of Time Award at CCS 2016, and a Ten-Year Most Influential Paper citation at DATE 2008.

Professor
Office
Klaus Advanced Computing Building, Room 2320
Additional Research
  • AI for Scientific and Mathematical Discovery
  • Automated Reasoning - SAT/SMT Solvers and Provers
  • NeuroSymbolic AI via Reasoning and Learning
  • Secure and Trustworthy AI and Machine Learning
IRI and Role
Data Engineering and Science > Faculty
Artificial Intelligence > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Research Areas
Data Engineering and Science
  • Machine Learning
  • Algorithms and Optimization

Micah Ziegler

Micah Ziegler
micah.ziegler@gatech.edu

Dr. Micah S. Ziegler is an assistant professor in the School of Chemical and Biomolecular Engineering and the School of Public Policy.

Dr. Ziegler evaluates sustainable energy and chemical technologies, their impact, and their potential. His research helps to shape robust strategies to accelerate the improvement and deployment of technologies that can enable a global transition to sustainable and equitable energy systems. His approach relies on collecting and curating large empirical datasets from multiple sources and building data-informed models. His work informs research and development, public policy, and financial investment.

Dr. Ziegler conducted postdoctoral research at the Institute for Data, Systems, and Society at the Massachusetts Institute of Technology. At MIT, he evaluated established and emerging energy technologies, particularly energy storage. To determine how to accelerate the improvement of energy storage technologies, he examined how rapidly and why they have changed over time. He also studied how energy storage could be used to integrate solar and wind resources into a reliable energy system.

Dr. Ziegler earned a Ph.D. in Chemistry from the University of California, Berkeley and a B.S. in Chemistry, summa cum laude, from Yale University. In graduate school, he primarily investigated dicopper complexes in order to facilitate the use of earth-abundant, first-row transition metals in small molecule transformations and catalysis. Before graduate school, he worked in the Climate and Energy Program at the World Resources Institute (WRI). At WRI, he explored how to improve mutual trust and confidence among parties developing international climate change policy and researched carbon dioxide capture and storage, electricity transmission, and international energy technology policy. Dr. Ziegler was also a Luce Scholar assigned to the Business Environment Council in Hong Kong, where he helped advise businesses on measuring and managing their environmental sustainability.

Dr. Ziegler is a member of AIChE and ACS, and serves on the steering committee of Macro-Energy Systems. His research findings have been highlighted in media, including The New York Times, Nature, The Economist, National Geographic, BBC Newshour, NPR’s Marketplace, and ABC News.

Assistant Professor
Phone
404.894.5991
Office
ES&T 2228
Additional Research

Complex SystemsEnergy and Sustainability

IRI and Role
Data Engineering and Science > Faculty
Energy > Research Community
Data Engineering and Science
Energy
Sustainable Systems > Fellow
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Chemistry & Biochemistry
Research Areas
Sustainable Systems
  • Resource and Materials Use

Juba Ziani

Juba Ziani
jziani3@gatech.edu

Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. Prior to this, Juba was a Warren Center Postdoctoral Fellow at the University of Pennsylvania, hosted by Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba completed his Phd at Caltech in the Computing and Mathematical Sciences department, where he was advised by Katrina Ligett and Adam Wierman.

Juba studies the optimization, game theoretic, economic, ethical, and societal challenges that arise from transactions and interactions involving data. In particular, his research focuses on the design of markets for data, on data privacy with a focus on "differential privacy", on fairness in machine learning and decision-making, and on strategic considerations in machine learning.

Assistant Professor
Office
Room 343 | Groseclose | 765 Ferst Dr NW | Atlanta, GA
Additional Research

Game Theory Mechanism Design Markets for Data Differential Privacy Ethics in Machine Learning Online Learning

IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering

Haomin Zhou

Haomin Zhou
hmzhou@math.gatech.edu
Professor
Additional Research

Optimal transport and control algorithms Machine learning methods in numerical PDEs Wavelets and PDE techniques in digital image and video processing Analysis and computations of stochastic differential equations

IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Mathematics

Ann Zhou

Ann Zhou
dzhou62@gatech.edu
Research Technologist II | Partnership for an Advanced Computing Environment
IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Ellen Zegura

Ellen Zegura
ewz@cc.gatech.edu

Ellen Zegura, Ph.D., is a Professor and the Stephen Fleming Chair in Telecommunications at the School of Computer Science, College of Computing at the Georgia Institute of Technology. Zegura’s research concerns the development of wide-area (Internet) networking services and mobile wireless networking.  Wide-area services are utilized by applications that are distributed across multiple administrative domains (e.g., web, file sharing, multi-media distribution). Her focus is on services implemented both at the network layer, as part of network infrastructure, and at the application layer.  In the context of mobile wireless networking, she is interested in challenged environments where traditional ad-hoc and infrastructure-based networking approaches fail. These environments have been termed Disruption Tolerant Networks.  She received a Bachelor's in Computer Science (1987) and Bachelor's in Electrical Engineering (1987), a Master's in Computer Science (1990) and the D.Sc. in Computer Science (1993) all from Washington University, St. Louis, Missouri. Since 1993, she has been a faculty member at Georgia Tech. She was an Assistant Dean in charge of Space and Facilities Planning from Fall 2000 to January 2003. She served as Interim Dean of the College for six months in 2002. She was Associate Dean responsible for Research and Graduate Programs from 2003-2005, and served as the first Chair of the School of Computer Science from 2005-2012.  Zegura is a Fellow of the IEEE and ACM.

Professor
Phone
404.894.1403
Additional Research
Mobile & Wireless Communications; Software & Applications; Computer Networking
IRI and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
University, College, and School/Department
Georgia Institute of Technology > College of Computing

Alenka Zajić

Alenka Zajić
alenka.zajic@ece.gatech.edu

Alenka Zajic is currently the Ken Byers Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. She has received the B.Sc. and M.Sc. degrees from the University of Belgrade, Belgrade, Serbia, in 2001 and 2003, respectively, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, in 2008. Before joining Georgia Tech as an assistant professor, Zajic was a post-doctoral fellow in the Naval Research Laboratory and visiting faculty in the School of Computer Science at the Georgia Institute of Technology. Zajic is the recipient of the following awards: IEEE Atlanta Section Outstanding Engineer Award (2019), The Best Poster Award at the IEEE International Conference on RFID (2018), NSF CAREER Award (2017), Best Paper Award at the 49th Annual IEEE/ACM International Symposium on Microarchitecture (2016), the Best Student Paper Award at the IEEE International Conference on Communications and Electronics (2014), Neal Shepherd Memorial Best Propagation Paper Award (2012), the Best Paper Award at the International Conference on Telecommunications (2008), the Best Student Paper Award at the Wireless Communications and Networking Conference (2007), IEEE Outstanding Chapter Award as a Chair of the Atlanta Chapter of the AP/MTT Societies (2016), LexisNexis Dean's Excellence Award (2016), and Richard M. Bass/Eta Kappa Nu Outstanding Teacher Award (2016). She was an editor for IEEE Transactions on Wireless Communications 2012-2017 and an executive editor for Wiley Transactions on Emerging Telecommunications Technologies 2011-2016 .

Ken Byers Professor, School of Electrical and Computer Engineering
Phone
404.556.7149
Office
TSRB 415
Additional Research

On-Chip and Off-Chip Interconnects and Communication in Computer Systems; Mobile-to-Mobile Wireless Channel Modeling and Measurements; Underwater Wireless Channel Modeling and Measurements; Electromagnetic Security and Compatibility; Applied Electromagnetics; Wireless Communications

IRI and Role
Data Engineering and Science > Faculty
Robotics > Affiliated Faculty
Energy > Research Community
Data Engineering and Science
Robotics
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Vigor Yang

Vigor Yang
vigor.yang@aerospace.gatech.edu

Vigor Yang earned his Ph.D. from the California Institute of Technology in 1984. After serving for one year as a research fellow in Jet Propulsion at Caltech, he joined the Pennsylvania State University in August 1985, becoming the John L. and Genevieve H. McCain Chair in Engineering in 2006. In 2009, he began his tenure as the William R.T. Oakes Professor Chair at the Daniel Guggenheim School of Aerospace Engineering at the Georgia Tech. He retired from the chair position and returned to teaching and research in August of 2018

Yang’s research encompasses a wide spectrum of topics, including (1) data-enabled design and data science; (2) combustion dynamics in propulsion and power-generation systems;(3) multi-fidelity modeling and simulations of fluid flows and combustion; (4) combustion of energetic materials; (5) high-pressure transport phenomena, thermodynamics and combustion, and (6) nano technologies for propulsion and energetic applications. He has established, as the principal or co-principal investigator, more than 70 research projects, including nine (9) DoD-MURI projects. He has published 10 comprehensive volumes and numerous technical papers on combustion, propulsion, energetics, and data science. He was the recipient of  the Air-Breathing Propulsion Award (2005), the Pendray Aerospace Literature Award (2008), the Propellants and Combustion Award (2009), and the von Karman Lectureship in Astronautics Award (2016) from the American Institute of Aeronautics and Astronautics (AIAA); the Worcester Reed Warner Medal (2014) from the American Society of Mechanical Engineers (ASME); and the Lifetime Achievement Award (2014) from the Joint Army, Navy, NASA, and Air Force (JANNAF) Interagency Propulsion Committee.

Yang was the editor-in-chief of the AIAA Journal of Propulsion and Power (2001-2009) and the JANNAF Journal of Propulsion and Energetics (2009-2012). He is currently a co-editor of the Aerospace Book Series of the Cambridge University Press (2010-).  He serves, or has served, on a large number of steering committees and review/advisory boards for government agencies and universities in the U.S. and abroad. A member of the U.S. National Academy of Engineering and an academician of Academia Sinica, Dr. Yang is a fellow of the AIAA, ASME, and Royal Aeronautical Society (RAeS).

Regents Professor
Additional Research
Hydrogen Production, Hydrogen Utilization, data-enabled design, data science, combustion dynamics in propulsion and power-generation systems, multi-fidelity modeling and simulations of fluid flows and combustion, combustion of energetic materials, high-pressure transport phenomena, thermodynamics and combustion, nanotechnologies for propulsion and energetic applications
IRI and Role
Data Engineering and Science > Faculty
Energy > Hydrogen Group
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Guggenheim School of Aerospace Engineering