Eric Schumacher

 Eric Schumacher
eschu@gatech.edu

Whether we’re driving a car, cooking dinner, performing a psychology experiment, or even watching television, we’re performing goal-directed behavior. We must keep track of our current goal (e.g., to cook dinner), so that we do not execute responses inappropriate for the present situation (e.g., sitting down to watch television). Yet, we must also flexibly adapt our goals to changing situations. For example, we must override our “cooking” goal with an “answering” one when we hear the doorbell ring. My research focuses on the mental processes required to carry out these and other types of goal-directed behavior.

A complicated set of mental processes are involved in behaviors like these. In addition to maintaining and updating our goals, we must attend to relevant stimuli, store relevant information in memory, and select and execute appropriate responses. What is the nature of these processes? How do they interact? What are their limitations? How do they change with training? And what are the neural mechanisms underlying them? These are the types of questions I investigate using a variety of experimental techniques: including behavioral testing, functional neuroimaging, and magnetic stimulation.

Associate Professor, School of Psychology
Additional Research
Brain-Inspired Computing
IRI and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Vivek Sarkar

Vivek Sarkar
vsarkar@gatech.edu

Vivek Sarkar is Chair of the School of Computer Science at Georgia Tech, where he is also the Stephen Fleming Chair for Telecommunications in the College of Computing. He conducts research in multiple aspects of parallel computing software including programming languages, compilers, runtime systems, and debuggers for parallel, heterogeneous and high-performance computer systems. Prof. Sarkar currently leads the Habanero Extreme Scale Software Research Laboratory at Georgia Tech, and is co-director of the Center for Research into Novel Computing Hierarchies (CRNCH). He is also the instructor for a 3-course online specialization on Parallel, Concurrent, and Distributed Programming hosted on Coursera. 

Prior to joining Georgia Tech in 2017, Prof. Sarkar was the E.D. Butcher Chair in Engineering at Rice University, where he created the Habanero Lab, served as Chair of the Department of Computer Science during 2013–2016, and created a sophomore-level undergraduate course on Fundamentals of Parallel Programming. Before joining Rice in 2007, Sarkar was Senior Manager of Programming Technologies at IBM Research. His research projects at IBM included the X10 programming language, the Jikes Research Virtual Machine for the Java language, the ASTI optimizer used in IBM’s XL Fortran product compilers, and the PTRAN automatic parallelization system. Sarkar became a member of the IBM Academy of Technology in 1995, and was inducted as an ACM Fellow in 2008. He has been serving as a member of the US Department of Energy’s Advanced Scientific Computing Advisory Committee (ASCAC) since 2009, and on CRA’s Board of Directors since 2015.

Professor and Chair
IRI and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science

Agata Rozga

Agata Rozga
agata@gatech.edu

Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

One key area Dr. Rozga’s research has focused on is understanding early trajectories and predictors of social communication in children diagnosed with Autism Spectrum Disorder. In her most recent work, she is applying novel computational methods to longitudinal measures of communication behavior to understand different pathways to language in autism, including failure to acquire spoken language by age 5. Dr. Rozga’s research has recently expanded to include a focus on Mild Cognitive Impairment, with an eye toward developing novel AI-based systems to help monitor cognitive and functional decline in everyday activities, to deliver appropriate in-situ supports, and to support care networks.

Dr. Rozga serves as the Director of Translational Research for the Georgia Tech-led NSF National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), and as the Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center. She was previously the Head of Product for Diligent Robotics, https://www.diligentrobots.com/.

Research Scientist II
Phone
404-894-2304
Additional Research
Computational Behavioral Science; Applications of Machine Learning to Developmental Health
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 > School of Interactive Computing

Christopher Rozell

Christopher Rozell
crozell@gatech.edu
Professor; School of Electrical and Computer Engineering
Director; Sensory Information Processing Lab
Phone
404.385.7671
Office
Centergy One 5218
Additional Research

Biological and computational vision Theoretical and computational neuroscience High-dimensional data analysis Distributed computing in novel architectures Applications in imaging, remote sensing, and biotechnology Dr. Rozell's research interests focus on the intersection of computational neuroscience and signal processing. One branch of this work aims to understand how neural systems organize and process sensory information, drawing on modern engineering ideas to develop improved data analysis tools and theoretical models. The other branch of this work uses recent insight into neural information processing to develop new and efficient approaches to difficult data analysis tasks.

IRI and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Robotics > Core Faculty
Data Engineering and Science
Robotics
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

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
IRI 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

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 and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science > TRIAD Leadership
Data Engineering and Science
Artificial Intelligence > 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
Matter and Systems
  • Computing and Communication Technologies

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 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 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 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

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 and Role
Data Engineering and Science > Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology