Alexey Tumanov

Alexey Tumanov
atumanov@gatech.edu

I've started as a tenure-track Assistant Professor in the School of Computer Science at Georgia Tech in August 2019, transitioning from my postdoc at the University of California Berkeley, where I worked with Ion Stoica and collaborated closely with Joseph Gonzalez. I completed my Ph.D. at Carnegie Mellon University, advised by Gregory Ganger. At Carnegie Mellon, I was honored by the prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS-D3) and partially funded by the Intel Science and Technology Centre for Cloud Computing and Parallel Data Lab. Prior to Carnegie Mellon, I worked on agile stateful VM replication with para-virtualization at the University of Toronto, where I worked with Eyal de Lara and Michael Brudno. My interest in cloud computing, datacenter operating systems, and programming the cloud brought me to the University of Toronto from industry, where I had been developing cluster middleware for distributed datacenter resource management.

Assistant Professor
Additional Research
  • High Performance Computing
  • Logistics
  • Machine Learning
  • Systems Design
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Research Areas
Artificial Intelligence

Craig Tovey

Craig Tovey
craig.tovey@isye.gatech.edu

Craig Tovey is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He also co-directs CBID, the Georgia Tech Center for Biologically Inspired Design. 

Dr. Tovey's principal research and teaching activities are in operations research and its interdisciplinary applications to social and natural systems, with emphasis on sustainability, the environment, and energy. His current research concerns inverse optimization for electric grid management, classical and biomimetic algorithms for robots and webhosting, the behavior of animal groups, sustainability measurement, and political polarization.  

Dr. Tovey received a Presidential Young Investigator Award in 1985 and the 1989 Jacob Wolfowitz Prize for research in heuristics. He was granted a Senior Research Associateship from the National Research Council in 1990, was named an Institute Fellow at Georgia Tech in 1994, and received the Class of 1934 Outstanding Interdisciplinary Activity Award in 2011. In 2016, Dr. Tovey was recognized by the ACM Special Interest Group on Electronic Commerce with the Test of Time Award for his work as co-author of the paper “How Hard Is It to Control an Election?” He was a 2016 Golden Goose Award recipient for his role on an interdisciplinary team that studied honey bee foraging behavior which led to the development of the Honey Bee Algorithm to allocate shared webservers to internet traffic. 

Dr. Tovey received an A.B. in applied mathematics from Harvard College in 1977 and both an M.S. in computer science and a Ph.D. in operations research from Stanford University in 1981. 

Professor; School of Industrial and Systems Engineering
Phone
404.894.3034
Office
Groseclose 420
Additional Research
  • Algorithms & Optimizations
  • Energy
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Robotics > Core Faculty
Data Engineering and Science
Robotics
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence

Matthew Torres

Matthew Torres
matthew.torres@biology.gatech.edu

Matt is a former Tar Heel from UNC Chapel Hill. His training is in mass spectrometry-based proteomics and G protein signaling. He has been investigating PTMs since 2001. He is also a co-director of the Systems Mass Spectrometry Core (SYMS-C) facility at Georgia Tech.

Associate Professor
Phone
404-385-0401
Office
EBB 4009
Additional Research
Bioinformatics. My lab integrates mass spectrometry and experimental cell biology using the yeast model system to understand how networks of coordinated PTMs modulate biological function. Now well into the era of genomics and proteomics, it is widely appreciated that understanding individual genes or proteins, although necessary, is often not sufficient to explain the complex behavior observed in living organisms. Indeed, placing context on the dynamic network of relationships that exist between multiple proteins is now one of the greatest challenges in Biology. Post-translational modifications (PTMs, e.g. phosphorylation, ubiquitination and over 200 others), which can be readily quantified by mass spectrometry (MS), often mediate these dynamic relationships through enhancement or disruption of binding and/or catalytic properties that can result in changes in protein specificity, stability, or cellular localization. We use a combination of tools including quantitative mass spectrometry, yeast genetics, dose-response assays, in vitro biochemistry, and microscopy to explore testable systems-level hypotheses. My current research interests can be grouped into four main categories:(1)coordinated PTM-based regulation of dynamic signaling complexes, (2) cross-pathway coordination by PTMs, (3) PTM networks in stress adaptation, and (4) technology development for rapid PTM network detection.
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences

John Tone

John Tone
john.tone@iac.gatech.edu

Dr. John Lawrence Tone is professor of history in the School of History and Sociology.  In the past he has served as interim dean of the Ivan Allen College of Liberal Arts, chair of the School of Economics and of the School of History and Sociology, and associate dean of undergraduate studies in the Ivan Allen College. He specializes in Spanish and Cuban military history and the history of disease and medicine. He has written several articles and books, including The Fatal Knot: The Guerrilla War in Navarre and the Defeat of Napoleon in Spain (1995), La guerrilla española (1999), and War and Genocide in Cuba (2006). The Fatal Knot was a selection of the History Book Club and received the Literary Prize of the International Napoleonic Society in 1999.  He was inducted as a Fellow of the International Napoleonic Society in that same year. War and Genocide in Cuba received the Society for Military History Prize for the Best Book on a Non-US Subject in 2008. His current research is on the history of yellow fever. He has received grants from the Fulbright Foundation, the National Endowment for the Humanities, and the American Philosophical Society. He teaches courses on European History, The French Revolution and Napoleon, Intellectual History, Modern Spain, Modern Cuba, and The History of Disease and Medicine.

Professor
IRI/Group and Role
Data Engineering and Science > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Peter Swire

Peter Swire
peter.swire@scheller.gatech.edu

Peter Swire, J.D., is Associate Director of Policy for the Institute for Information Security & Privacy. Swire has been a privacy and cyberlaw scholar, government leader, and practitioner since the rise of the Internet in the 1990's. In 2013, he became the Nancy J. and Lawrence P. Huang Professor of Law and Ethics at the Georgia institute of Technology. Swire teaches in the Scheller College of Business, with appointments by courtesy with the College of Computing and School of Public Policy. He is senior counsel with the law firm of Alston & Bird LLP. Swire served as one of five members of President Obama's Review Group on Intelligence and Communications Technology. Prior to that, he was co-chair of the global Do Not Track process for the World Wide Web Consortium. He is a senior fellow with the Future of Privacy Forum, and a policy fellow with the Center for Democracy and Technology. Under President Clinton, Swire was the chief counselor for privacy in the U.S. Office of Management and Budget -- the only person to date to have U.S. government-wide responsibility for privacy policy. In that role, his activities included being White House coordinator for the HIPAA medical privacy rule, chairing a White House task force on how to update wiretap laws for the Internet age, and helping negotiate the U.S.-E.U. Safe Harbor agreement for trans-border data flows.Under President Obama, he was special assistant to the President for economic policy. Swire is author of five books and numerous scholarly papers. He has testified often before the Congress, and been quoted regularly in the press. He has served on privacy and security advisory boards for companies including Google, IBM, Intel, and Microsoft, as well as a number of start-ups. Swire graduated from Princeton University, summa cum laude, and the Yale Law School, where he was an editor of the Yale Law Journal.

Associate Director, Policy
Phone
404-385-3279
Office
Scheller 4163
Additional Research
Data Security & Privacy
IRI/Group 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 > Scheller College of Business

Ignacio Taboada

Ignacio Taboada
itaboada@gatech.edu

We are currently witnessing the birth of a new branch of astrophysics: high-energy astrophysics. With neutrinos we can study the high-energy Universe and peer into environments from where electromagnetic radiation can't escape. The IceCube neutrino observatory is a detector in operation at the geographic south pole. IceCube discovered, in 2013, an extragalactic flux of astrophysical neutrinos. Even though IceCube has identified two neutrino candidate sources: TXS 0506+056 (in 2018) and NGC 1068 (in 2022), the class of objects responsible for the astrophysical flux have not been unequivocally identified. Both these galaxies have Active Nuclei in which a supermassive black hole is being fed material via an accretion disk. Interestingly they are very different looking objects. TXS 0506+056 was seen with two flares of neutrinos and NGC 1068 is steady. TXS 0506+056 is seen mostly in ~50-200 TeV neutrinos, whereas NGC 1068 is seen in 1.5 to 15 TeV neutrinos. NGC 1068 is in our "neighboorhood" but TXS 0506+056 is very far away. 

The Taboada group uses IceCube data to search for astrophysical neutrino sources. Ignacio Taboada is the current spokesperson of the IceCube collaboration.

Professor
Additional Research
  • Big Data Analytics
  • High Performance Computing
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Phanish Suryanarayana

Phanish Suryanarayana
phanish.suryanarayana@ce.gatech.edu

Phanish Suryanarayana joined the School of Civil and Environmental Engineering at the Georgia Institute of Technology in August 2011. He received his B.Tech. from Indian Institute of Technology, Madras, India in 2005. He obtained his M.S. in Aeronautics from California Institute of Technology in 2006. Subsequently, he received his Ph.D. in Aeronautics from California Institute of Technology in 2011 for his thesis titled "Coarse-graining Kohn-Sham Density Functional Theory". His research interests are in the areas of multiscale modeling, ab-initio calculations, density functional theory, continuum mechanics and smart materials. Overall, he is interested in developing efficient numerical methods for solving problems arising in a variety of fields. On a personal level, Dr. Suryanarayana is a sports enthusiast. He plays badminton, cricket, waterpolo, and ultimate frisbee. He also is an avid gamer (PC) and enjoys playing bridge and other board game

Associate Professor, School of Civil and Environmental Engineering
Phone
404.894.2773
Office
Mason 5139A
Additional Research
  • Computational Materials Science
  • Energy Use & Conservation
  • High Performance Computing
IRI/Group and Role
Data Engineering and Science > Faculty
Energy > Research Community
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Civil and Environmental Engineering

Aaron Stebner

Aaron Stebner
aaron.stebner@gatech.edu

Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Associate Professor, School of Mechanical Engineering and Materials Science and Engineering
Phone
404.894.5167
IRI/Group and Role
Manufacturing > Affiliated Faculty
Manufacturing > AMPF
Data Engineering and Science > Faculty
Manufacturing
Data Engineering and Science
Matter and Systems > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Georgia Institute of Technology > College of Engineering > School of Materials Science Engineering
Research Areas
Artificial Intelligence

Joel Sokol

Joel Sokol
jsokol@isye.gatech.edu

Joel Sokol is the Harold E. Smalley Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He is also Director of the interdisciplinary Master of Science in Analytics degree (on-campus and online).

His primary research interests are in sports analytics and applied operations research. He has worked with teams or leagues in all three of the major American sports. Dr. Sokol's LRMC method for predictive modeling of the NCAA basketball tournament is an industry leader, and his non-sports research has won the EURO Management Science Strategic Innovation Prize and been a finalist for the Cozzarelli Prize.

Dr. Sokol has also won recognition for his teaching and curriculum development from IIE and the NAE, held the Fouts Family Associate Professorship for a three-year term, and is the recipient of Georgia Tech's highest awards for teaching. He served two terms as INFORMS Vice President of Education, and is a past Chair and founding officer of the INFORMS section on sports operations research.

Dr. Sokol's Ph.D. in operations research is from MIT, and his bachelor's degrees in mathematics, computer science, and applied sciences in engineering are from Rutgers University.

Fouts Family Associate Professor and Director, MS in Analytics
Additional Research
  • Data Analytics
  • Materials & Manufacturing 
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science > TRIAD Associate
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering

Jeff Skolnick

Jeff Skolnick
skolnick@gatech.edu
Regents’ Professor, School of Biological Sciences
Director, Center for the Study of Systems Biology
Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology
Additional Research
  • Computational Biology
  • Health & Life Sciences
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Leadership
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology