Sridhar Narasimhan

Sridhar Narasimhan
sri.narasimhan@scheller.gatech.edu

Sridhar Narasimhan is Professor of IT Management and Co-Director -Business Analytics Center (BAC), Scheller College of Business. The BAC partners with its Executive Council companies in the analytics space and supports Scheller’s BSBA, MBA, and MS Analytics programs. Professor Narasimhan has developed and taught the MBA IT Practicum course. Since 2016, he has been teaching Business Analytics to undergraduate and MBA students at Scheller. 

Professor Narasimhan is the founder and first Area Coordinator of the nationally ranked Information Technology Management area. In fall 2010, he was the Acting Dean and led the College in its successful AACSB Maintenance of Accreditation effort. He was Senior Associate Dean from 2007 through 2015.

Gregory J. Owens Professor
Phone
404-894-4378
Office
Scheller 4268
Additional Research
  • Business Analytics
  • Design Science
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Jesse McDaniel

 Jesse McDaniel
mcdaniel@gatech.edu

The research in our group bridges the gap between applied electronic structure theory and first-principles molecular simulation to enable predictive computational discovery of new materials and new chemistry. This research relies heavily on sophisticated high-performance and high-throughput computing paradigms, employing modern graphics processing unit (GPU) based computing. A primary focus is electrochemistry and electrochemical energy storage applications, and we seek to develop a fundamental understanding of how redox chemistry and other chemical and physical processes are modulated by strong electric fields. We are interested in chemical reaction mechanisms within highly ionic and heterogeneous environments, and are developing multi-scale modeling approaches to study chemical reactivity in the condensed phase. This method development includes novel QM/MM approaches and machine-learning reactive force fields, which are combined with enhanced sampling molecular dynamics/Monte Carlo techniques. Please see our research group website for more details!

Assistant Professor
Additional Research
  • Energy Efficiency and Conservation
  • High Performance Computing
  • Machine Learning 
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Dimitri Mavris

Dimitri Mavris
dimitri.mavris@aerospace.gatech.edu

Dimitri Mavris is a Regents’ Professor, Boeing Professor of Advanced Aerospace Systems Analysis, and an S.P. Langley Distinguished Professor. He also serves as the director of the Aerospace Systems Design Laboratory (ASDL) and executive director of the Professional Master’s in Applied Systems Engineering (PMASE). Dr. Mavris received his B.S., M.S., and Ph.D. in aerospace engineering from the Georgia Institute of Technology. His primary areas of research interest include: advanced design methods, aircraft conceptual and preliminary design, air-breathing propulsion design, multi-disciplinary analysis, design and optimization, system of systems, and non-deterministic design theory. Dr. Mavris has actively pursued closer ties between the academic and industrial communities in order to foster research opportunities and tailor the aerospace engineering curriculum towards meeting the future needs of the US aerospace industry. He has also co-authored with his students in excess of 1,000 publications. During his tenure at Georgia Tech, Dr. Mavris has chaired and served in several Technical and Program Committees for the American Institute of Aeronautics and Astronautics (AIAA) and served on the AIAA Board of Directors and Institute Development Committee. He is the President of the International Council of the Aeronautical Sciences (ICAS). He is the Georgia Tech technical point of contact for the FAA Center of Excellence for Alternative Jet Fuels & Environment (ASCENT), the Georgia Tech site director for the FAA Partnership to Enhance General Aviation Safety, Accessibility, and Sustainability (PEGASAS), and the principal investigator for the Airbus/Georgia Tech Center for MBSE-enabled Overall Aircraft Design and the Siemens Center of Excellence for Simulation and Digital Twin.

Regents' Professor
Boeing Professor of Advanced Aerospace Systems Analysis
Director, Aerospace Systems Design Laboratory
Phone
(404) 894-1557
Additional Research

System Design & Optimization

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Energy > Research Community
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Guggenheim School of Aerospace Engineering
Research Areas
Artificial Intelligence
Energy
  • Combustion, Propulsion, and Hypersonics
  • Critical Minerals
  • Energy and National Security
  • Fuels
  • Supply Chain

Siva Theja Maguluri

 Siva Theja Maguluri
siva.theja@gatech.edu

Siva is Fouts Family Early Career Professor and an Assistant Professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech.

Before joining Georgia Tech, he spent two years in the Stochastic Processes and Optimization group, which is part of the Mathematical Sciences Department at the IBM T. J. Watson Research Center. He received my Ph.D. in ECE from the University of Illinois at Urbana-Champaign in 2014 and was advised by Prof R. Srikant. Before that, he received an MS in ECE from UIUC, which was advised by Prof R. Srikant and Prof. Bruce Hajek. Maguluri also hold an MS in Applied Maths from UIUC. He obtained my B.Tech in Electrical Engineering from Indian Institute of Technology Madras.

Maguluri received the NSF CAREER award in 2021, 2017 Best Publication in Applied Probability Award from INFORMS Applied Probability Society, and the second prize in 2020 INFORMS JFIG best paper competition. Joint work with his students received the Stephen S. Lavenberg Best Student Paper Award at IFIP Performance 2021. As a recognition of his teaching efforts, Siva received the Student Recognition of Excellence in Teaching: Class of 1934 CIOS Award in 2020 for ISyE 6761 and the CTL/BP Junior Faculty Teaching Excellence Award, also in 2020, both presented by the Center for Teaching and Learning at Georgia Tech.

Assistant Professor
Phone
404.385.5518
Office
Room 439 Groseclose
Additional Research

Reinforcement Learning Optimization Stochastic Processes Queueing Theory Revenue Optimization Cloud Computing Data Centers Communication Networks

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

Susan Lozier

Susan Lozier
susan.lozier@gatech.edu

Susan Lozier is a physical oceanographer and the dean of the Georgia Institute of Technology's College of Sciences. Previously, she was the Ronie-Richelle Garcia-Johnson Professor of Earth and Ocean Sciences in the Nicholas School of the Environment at Duke University in Durham, North Carolina. Her research focuses on large-scale ocean circulation, the ocean's role in climate variability, and the transfer of heat and fresh water from one part of the ocean to another.

Lozier received her Bachelor of Science degree from Purdue University in 1979, and her Master of Science (1984) and Doctor of Philosophy (1989) degrees from the University of Washington.

Lozier was a post-doctoral fellow at the Woods Hole Oceanographic Institution before joining the faculty at Duke University. She is a principal investigator for the Overturning in the Subpolar North Atlantic Program (OSNAP), responsible for coordinating its international and national projects. She was the first woman to graduate from the University of Washington's physical oceanography doctoral program, and is active in the community mentoring program, MPOWIR (Mentoring Physical Oceanography Women to Increase Retention). In 2020 she was elected to the American Academy of Arts and Sciences.

Lozier was the featured speaker for the 16th Annual Roger Revelle Annual Commemorative Lecture, sponsored by the National Academies and held at the National Museum of Natural History in Washington, D.C., on March 4, 2015, presenting her lecture on Overturning Assumptions: Past, Present, and Future Concerns about the Ocean's Circulation. She started a two-year term as president of the American Geophysical Union in 2021.

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

Hang Lu

Hang Lu
hang.lu@gatech.edu

Hang Lu received her B.S. from the University of Illinois, Urbana-Champaign and her M.S.C.E.P and Ph.D. from the Massachusetts Institute of Technology. She is currently the Associate Dean for Research and Innovation in the College of Engineering and C. J. "Pete" Silas Chair, School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Lu's research interests involve the interface of engineering and biology and her lab, the Lu Fluidics Group, is conducting research at these interface levels. The Lu Fluidics Group engineers BioMEMS (Bio Micro-Electro-Mechanical System) and microfluidic devices to address questions in neuroscience, cell biology, and biotechnology that are difficult to answer using conventional techniques.

Faces of Research - Profile Article

Associate Dean for Research and Innovation, College of Engineering
C. J. "Pete" Silas Chair, School of Chemical and Biomolecular Engineering
Phone
404.894.8473
Office
EBB 3017
Additional Research

Microfluidic systems for high-throughput screens and image-based genetics and genomicsSystems biology: large-scale experimentation and data miningMicrotechnologies for optical stimulation and optical recordingBig data, machine vision, automationDevelopmental neurobiology, behavioral neurobiology, systems neuroscienceCancer, immunology, embryonic development, stem cells

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
Bioengineering and Bioscience
Tech AI > ITAB
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Chemical and Biomolecular Engineering
Research Areas
Artificial Intelligence

Ling Liu

 Ling Liu
lingliu@cc.gatech.edu

Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining various aspects of large scale big data systems and analytics, including performance, availability, security, privacy and trust. Prof. Liu is an elected IEEE Fellow and a recipient of IEEE Computer Society Technical Achievement Award (2012). She has published over 300 international journal and conference articles and is a recipient of the best paper award from numerous top venues, including ICDCS, WWW, IEEE Cloud, IEEE ICWS, ACM/IEEE CCGrid. In addition to serve as general chair and PC chairs of numerous IEEE and ACM conferences in big data, distributed computing, cloud computing, data engineering, very large databases fields, Prof. Liu served as the editor in chief of IEEE Transactions on Service Computing (2013-2016), on editorial board of over a dozen international journals. Ling’s current research is sponsored primarily by NSF and IBM.

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

Srijan Kumar

 Srijan Kumar
srijan@gatech.edu

Prof. Srijan Kumar is an Assistant Professor in the School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology. His research develops data science solutions to address the high-stakes challenges on the web and in the society. He has pioneered the development of user models and network science tools to enhance the well-being and safety of people. Applications of his research widely span e-commerce, social media, finance, health, web, and cybersecurity. His methods to predict malicious users and false information have been widely adopted in practice (being used in production at Flipkart and Wikipedia) and taught at graduate level courses worldwide. He has received several awards including the ACM SIGKDD Doctoral Dissertation Award runner-up 2018, Larry S. Davis Doctoral Dissertation Award 2018, and best paper awards from WWW and ICDM. His research has been the subject of a documentary and covered in popular press, including CNN, The Wall Street Journal, Wired, and New York Magazine. He completed his postdoctoral training at Stanford University, received a Ph.D. in Computer Science from University of Maryland, College Park, and B.Tech. from Indian Institute of Technology, Kharagpur.

Assistant Professor
Additional Research

Online malicious actors and dangerous content threaten public health, democracy, science, and society. To combat these threats, I build technological solutions, including accurate and robust models for early identification, prediction and attibution, as well as social mitigation solutions, such as empowering people to counter online harms. I have conducted the largest study of malicious sockpuppetry across nine platforms, ban evasion/recidivism on online platforms, and some of the earliest works on online misinformation. I am the one of the first to investigate of the reliability of web safety models used in practice, including Facebook's TIES and Twitter's Birdwatch. My work is one of the first to study whole-of-society solutions to mitigate online misinformation.

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

Felix Herrmann

Felix Herrmann
felix.herrmann@gatech.edu

Dr. Felix J. Herrmann is Georgia Research Alliance Eminent Scholar in Energy and a professor at the Georgia Institute of Technology with appointments in the Schools of Earth and Atmospheric Sciences, Computational Science and Engineering, and Electrical and Computer Engineering. Dr. Herrmann will be the 2019 Distinguished Lecturer of the Society of Exploration Geophysicists (SEG). 

Dr. Herrmann holds a M.Sc. and Ph.D. in Engineering Physics from the Delft University of Technology. He completed his postdoctoral studies at Stanford University and MIT before becoming a professor at the University of British Columbia's Department of Earth, Ocean, and Atmospheric Sciences. He joined the faculty of the Georgia Institute of Technology in October 2017. 

During his career, Dr. Herrmann has worked on the development of the next-generation of industrial acquisition and computational imaging technologies designed to improve the image quality in complex geological areas at vastly reduced costs and environmental impact. Aside from driving innovations, by leveraging recent developments in the mathematical and computational sciences, Dr. Herrmann has extensive experience working with industry. At the University of British Columbia, he was the founder and director of the Seismic Laboratory for Imaging and Modelling (SLIM), which hosted the industry Consortium SINBAD. Under his guidance, SLIM became a world leader in the successful integration of transformative scientific developments, such as compressive sensing, randomized linear algebra, and machine learning, into innovative approaches that tackle the most challenging imaging problems. With his move to the Georgia Institute of Technology, Dr. Herrmann plans to broaden his research program to include other imaging modalities. Dr. Herrmann was a long program participant at UCLA's Institute for Pure and Applied Mathematics in the Fall of 2004 and has been involved in public-private partnerships around the world. He serves on the editorial board of Geophysical Prospecting and on the SEG Research Committee.

Professor, Georgia Research Alliance Eminent Scholar in Energy
Additional Research
  • Inverse Problems
  • Seismic Modeling
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
Energy > Research Community
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence
Energy
  • Carbon Capture, Utilization and Storage
  • AI Energy Nexus
  • Energy and National Security

Sung Ha Kang

Sung Ha Kang
kang@math.gatech.edu
Professor
Additional Research
Combinatorial Scientific Computing
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 Sciences > School of Mathematics