Edwin Romeijn

Edwin Romeijn
edwin.romeijn@isye.gatech.edu

Edwin Romeijn is the H. Milton and Carolyn J. Stewart School Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

His areas of expertise include optimization theory and applications. His recent research activities deal with issues arising in radiation therapy treatment planning and supply chain management. In radiation therapy treatment planning, his main goal has been to develop new models and algorithms for efficiently determining effective treatment plans for cancer patients who are treated using radiation therapy, and treatment schedules for radiation therapy clinics. In supply chain optimization, his main interests are in the integrated optimization of production, inventory, and transportation processes, in particular in the presence of demand flexibility, limited resources, perishability, and uncertainty.

He previously served as Program Director for the Manufacturing Enterprise Systems, Service Enterprise Systems, and Operations Research programs at the National Science Foundation, and as Professor and Richard C. Wilson Faculty Scholar in the Department of Industrial and Operations Engineering at the University of Michigan. Before joining the University of Michigan in 2008, he was on the faculty of the Department of Industrial and Systems Engineering at the University of Florida and the Rotterdam School of Management at the Erasmus University Rotterdam in The Netherlands. 

He is a Fellow of the Institute of Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial & Systems Engineers (IISE), and a member of the Mathematical Optimization Society (MOS), Society of Industrial and Applied Mathematics (SIAM), and the American Association of Physicists in Medicine (AAPM).

Professor and School Chair
Additional Research
  • Algorithms & Optimizations
  • Health & Life Sciences
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science > TRIAD Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Research Areas
Artificial Intelligence

Justin Romberg

Justin Romberg
jrom@ece.gateach.edu

Dr. Justin Romberg is the Schlumberger Professor and the Associate Chair for Research in the School of Electrical and Computer Engineering and the Associate Director for the Center for Machine Learning at Georgia Tech.

Dr. Romberg received the B.S.E.E. (1997), M.S. (1999) and Ph.D. (2004) degrees from Rice University in Houston, Texas. From Fall 2003 until Fall 2006, he was a Postdoctoral Scholar in Applied and Computational Mathematics at the California Institute of Technology. He spent the Summer of 2000 as a researcher at Xerox PARC, the Fall of 2003 as a visitor at the Laboratoire Jacques-Louis Lions in Paris, and the Fall of 2004 as a Fellow at UCLA's Institute for Pure and Applied Mathematics. In the Fall of 2006, he joined the Georgia Tech ECE faculty. In 2008 he received an ONR Young Investigator Award, in 2009 he received a PECASE award and a Packard Fellowship, and in 2010 he was named a Rice University Outstanding Young Engineering Alumnus. He is currently on the editorial board for the SIAM Journal on the Mathematics of Data Science, and is a Fellow of the IEEE.

His research interests lie on the intersection of signal processing, machine learning, optimization, and applied probability.

Schlumberger Professor
Additional Research

Data Mining

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science > TRIAD Leadership
Data Engineering and Science
Tech AI > ITAB
Matter and Systems > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Research Areas
Artificial Intelligence

Christine Ries

 Christine Ries
christine.ries@econ.gatech.edu

Christine P. Ries is Professor in the School of Economics at Georgia Tech. She received a Ph.D. in International Business Economics from The University of Chicago (1977) and came to Georgia Tech as Professor and Chair (1997-99) of the School of Economics.  She has previously held faculty positions at The Harvard Business School, The Fuqua School of Business at Duke, the Peter F. Drucker Graduate Management Center at Claremont, and at Stanford University. At Claremont she was Senior Associate at the Center for Politics and Economics.  She is now a Senior Fellow at the Georgia Public Policy Foundation, Adjunct Scholar at Foundation for Education in Economics, Board of Policy Advisors Heartland Institute, Faculty Associate at Georgia Tech’s Program in Science Technology and Innovation Policy, faculty member of Georgia Tech’s Center for 21st Century Universities and a member of the Philadelphia Society and the selective Policy@Tech Campus Partners.  Finally, she is member of the Georgia Tech Faculty Council on Big Data and Engineering and the Data Dominators Affinity Group.

Dr. Ries studies and teaches principles of free market economics and their application in corporate decision making and the creation of economic value for companies, states and countries. She is a specialist in international financial economics, corporate financial management, and organizational economics and governance.  In this context, her work has extended into issues of Big Data as it affects corporate and industrial transformation and public policy and analysis.  Her work ties together foreign exchange risk management, corporate decision-making, strategy and corporate value. This work has extended into value-based analytics in a global economy. She has addressed corporate political risk in assessing how corporate strategies predict and respond to shifts in government trade, commercial and capital controls policies. Her articles include publications in The Journal of International Business StudiesThe Harvard Business ReviewEuromoney, and The Financial Analysts’ Journal, among others. She is the author of over 20 widely used case studies that have been published by the Harvard Business School and reprinted elsewhere. She has served as consultant and advisor to many U.S. and foreign corporations, financial institutions, universities, and governments.  These include IBM, Citicorp, Morgan Guarantee Trust, Chase Manhattan Bank, Barclays Bank, Lucky Goldstar Corp., and others. 

For governments of states and foreign countries, especially in emerging market countries, she advises and consults on tax, regulation and capital control policies and their impacts on relative competitiveness success in attracting investment and business. Her books address the strategies and policies of international corporations, the politics and economics of emerging markets and the interface between corporate strategy and government policy. She has served on the Executive and Editorial Boards of The Academy of International Business and on the editorial boards and as referee of several major professional and academic journals.

She has experience on corporate boards of advisors and her experience on not-for-profit boards is extensive. She recently served as Trustee and Chair of Education Committee for The Atlanta International School and as Treasurer for The Care and Counseling Center of Georgia. Dr. Ries has delivered speeches and public lectures around the globe and is the recipient of several teaching awards.  In additional to teaching courses in international finance, corporate financial policy and strategy, corporate/government interface, and markets and organizations she has created innovative courses including The Global Economy, Network Economics and Economic and Financial Modeling, and a capstone course for GT economics majors. The later required students to assess the internal economies of companies and their impact on the economy of the State of Georgia. 

After being appointed to the Special Council for Tax Reform and Fairness for Georgians in 2010, Dr. Ries focused her expertise on the problem of tax structure and economic growth in Georgia. On the Council, she organized and promoted private sector teams from mining, manufacturing and agricultural industries to streamline and rationalize Georgia’s tax code describing sales tax exemptions for business. This code modernization was enacted into law in 2012 and dramatically increased code transparency and reduced the cost of compliance for businesses in Georgia. She has created a tax calculator game to facilitate much greater public understanding of tax policy dynamics and improve the quality of public discussion by providing accurate measures of the impact of various tax reform alternatives.

Active involvement in the economic health and competitive attractiveness of Georgia has led her to extend her long-standing interest and activities in children and K-12 education. She is an active proponent of a state charter school strategy that supports Georgia’s economic growth and facilitates the creation of an education-rich environment in the state.  She is currently member GCA’s Academic Oversight and Finance Committees of the board of the Georgia Cyber Academy, a state-wide K-12 virtual school system with nearly 14,000 students.  It is the largest public school in Georgia and the third largest K-12 Cyber Academy the U.S. She was recently a member of the board of the Georgia Charter Educational Foundation contributing to the governance and educational committees. Previously, she served as a Trustee of the Atlanta International School where she chaired the Education Committee and served on the Headmaster Evaluation and Support Committee and the Finance Committee. Within the university system she has longed worked on the use of computers and information technology in education, strategic planning, financial planning, endowment investment, academic standards and the integration into the curriculum of an international perspective. In the last year, she converted her class, The Global Economy, to a hybrid format mixing face-to-face and online learning and is engaged in offering increasing numbers of on-line courses. She is also an active speaker and conference contributor on the subject of on-line and hybrid learning.

Dr. Ries is a frequent speaker on radio and television on topics of economic and tax reform, education reform, government budgeting and spending, global economic issues, Big Data, Analytics and corporate investment and Georgia economic development.

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

Ashwin Renganathan

Ashwin Renganathan
ashwinsr@gatech.edu

Ashwin Renganathan is a member of the Institute for Data Engineering and Science.

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

James Rehg

James Rehg
james.rehg@cc.gatech.edu

Dr. Rehg's research interests include computer vision, computer graphics, machine learning, robotics, and distributed computing. He co-directs the Computational Perception Laboratory (CPL) and is affiliated with the GVU Center, Aware Home Research Institute, and the Center for Experimental Research in Computer Science. In past years he has taught "Computer Vision" (CS 4495/7495) and "Introduction to Probabilistic Graphical Models" (CS 8803). He is currently teaching "Pattern Recognition" (CS 4803) and "Computer Graphics" (CS 4451). Dr. Rehg received the 2005 Raytheon Faculty Fellowship Award from the College of Computing. His paper with Ph.D. student Yushi Jing and collaborator Vladimir Pavlovic was the recipient of a Distinguished Student Paper Award at the 2005 International Conference on Machine Learning. Dr. Rehg currently serves on the Editorial Board of the International Journal of Computer Vision. He was the Short Courses Chair for the International Conference on Computer Vision (ICCV) in 2005 and the Workshops Chair for ICCV 2003. Dr. Rehg consults for several companies and has served as an expert witness. His research is funded by the NSF, DARPA, Intel Research, Microsoft Research, and the Mitsubishi Electric Research Laboratories.

Note: Rehg recently moved to the University of Illinois Urbana-Champaign as the Founder Professor of Computer Science and Industrial and Enterprise Systems Engineering.

Adjunct Professor; School of Interactive Computing
Phone
404.894.9105
Office
TSRB 221A
Additional Research

Computer Vision; Computer Graphics; Machine Learning; Robotics; and Distributed Computing

IRI/Group and Role
People and Technology > Affiliated Faculty
Robotics > Core Faculty
Data Engineering and Science
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Artificial Intelligence

Renata Rawlings-Goss

Renata Rawlings-Goss
rrawlings.goss@gatech.edu
Dr. Rawlings-Goss is responsible for interfacing with industry to cultivate industrial partnerships and embedded innovations labs, organizing workshops, retreats on topics relevant to emerging initiatives, job fairs, and numerous other activities. She builds bridges between industry and IRI activities. Renata brings rich experience in Big Data technology and policy from the National Science Foundation and the White House Office of Science and Technology Policy. During her tenure, she co-led inter-agency Big Data initiatives and led the formation of the National Data Science Organizers group. She is a biophysicist and her scientific work, at the University of Pennsylvania and the University of Michigan-Ann Arbor, was focused on biophysics, bioinformatics and next-generation genomics research. She also plays the lead role in managing the NSF South Big Data Innovation Hub from Georgia Tech. Dr. Rawlings-Goss has a Ph.D. in Biophysics.
IDEaS Director of Industry Engagement
Additional Research
Bioinformatics
IRI/Group and Role
Data Engineering and Science > Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Dana Randall

Dana Randall
randall@cc.gatech.edu

Dana Randall is an American computer scientist. She works as the ADVANCE Professor of Computing, and adjunct professor of mathematics at the Georgia Institute of Technology. She is also an External Professor of the Santa Fe Institute. Previously she was executive director of the Georgia Tech Institute of Data Engineering and Science (IDEaS) that she co-founded, and director of the Algorithms and Randomness Center. Her research include combinatorics, computational aspects of statistical mechanics, Monte Carlo stimulation of Markov chains, and randomized algorithms.

Professor
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science > TRIAD Leadership
Data Engineering and Science
Robotics > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Research Areas
Artificial Intelligence

Rampi Ramprasad

Rampi Ramprasad
rampi.ramprasad@mse.gatech.edu

Ramprasad joined the School of Materials Science and Engineering at Georgia Tech in February 2018. Prior to joining Georgia Tech, he was the Centennial Term Professor of Materials Science and Engineering at the University of Connecticut. He joined the University of Connecticut in Fall 2004 after a 6-year stint with Motorola’s R&D laboratories at Tempe, AZ. Ramprasad received his B. Tech. in Metallurgical Engineering at the Indian Institute of Technology, Madras, India, an M.S. degree in Materials Science and Engineering at the Washington State University, and a Ph.D. degree also in Materials Science and Engineering at the University of Illinois, Urbana-Champaign.

Ramprasad’s area of expertise is in the development and utilization of computational and data-driven (machine learning) methods aimed at the design and discovery of new materials. Materials classes under study include polymers, metals and ceramics (mainly dielectrics and catalysts), and application areas include energy production and energy storage. Prof. Ramprasad’s research has been funded by the Office of Naval Research (ONR), the National Science Foundation (NSF), the Department of Energy (DOE), the Army Research Office (ARO), and Toyota Research Institute (TRI). He has lead a ONR-sponsored Multi-disciplinary University Research Initiative (MURI) in the past to accelerate the discovery of polymeric capacitor dielectrics for energy storage, and is presently leading another MURI aimed at the understanding and design of dielectrics tolerant to enormous electric fields.

Ramprasad is a Fellow of the American Physical Society, an elected member of the Connecticut Academy of Science and Engineering, and the recipient of the Alexander von Humboldt Fellowship and the Max Planck Society Fellowship for Distinguished Scientists.

Michael E. Tennenbaum Family Chair, Materials Science and Engineering
Georgia Research Alliance Eminent Scholar in Energy Sustainability
Phone
404.385.2471
Office
Love 366
Additional Research

Data Analytics; Materials discovery; Energy Storage; Modeling; Electronic Materials; Electronics

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

Umakishore Ramachandran

Umakishore Ramachandran
rama@gatech.edu

Kishore Ramachandran received his Ph.D. in Computer Science from the University of Wisconsin, Madison in 1986, and has been on the faculty of Georgia Tech since then. He led the definition of the curriculum and the implementation for an online MS program in Computer Science (OMSCS) using MOOC technology for the College of Computing, which is currently providing an opportunity for students world-wide (with an enrollment of over 10,000) to pursue a low-cost graduate education in computer science. He has served as the Director of STAR Center from 2007 to 2014, and as the Director of Korean Programs for the College of Computing from 2007 to 2011. Ramachandran has also served as the Chair of the Core Computing Division within the College of Computing. His research interests are in architectural design, programming, and analysis of parallel and distributed systems. Currently, he is leading a project that deals with large-scale situation awareness using distributed camera networks and multi-modal sensing with applications to surveillance, connected vehicles, and transportation. He is the recipient of an NSF PYI Award in 1990, the Georgia Tech doctoral thesis advisor award in 1993, the College of Computing Outstanding Senior Research Faculty award in 1996, the College of Computing Dean's Award in 2003 and 2014, the College of Computing William "Gus'' Baird Teaching Award in 2004, the "Peter A. Freeman Faculty Award" from the College of Computing in 2009 and in 2013, the Outstanding Faculty Mentor Award from the College of Computing in 2014, and became an IEEE Fellow in 2014.

Thrust Lead for Cloud Computing, IDEaS
Professor
IRI/Group and Role
Data Engineering and Science > Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Peng Qiu

Peng Qiu
peng.qiu@bme.gatech.edu

Peng Qiu is a professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech School of Engineering and Emory University School of Medicine. 

His research interests are in the areas of bioinformatics and computational biology, focusing on machine learning, data integration, statistical signal processing, control systems and optimization. 

In particular, he is interested in developing machine learning methods to advance single-cell data science, with applications in characterizing cellular heterogeneity, identifying cancer biomarkers, understanding disease progression, reconstructing gene regulatory networks, etc.

Professor
Phone
404-385-1656
Office
EBB 2107
Additional Research
  • Computational Biology
  • Machine Learning
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Coulter Department of Biomedical Engineering