Xiaoli Ma

Xiaoli Ma

Dr. Ma received a B.S. degree in Automatic Control from Tsinghua University, Beijing, China in 1998, a M.S. degree in Electrical Engineering from the University of Virginia in 2000, and a Ph.D. degree in Electrical Engineering from the University of Minnesota in 2003. 

After receiving her Ph.D., Ma joined the Department of Electrical and Computer Engineering at Auburn University, where she served as an assistant professor until 2005. Since spring 2006, she has been with the School of Electrical and Computer Engineering at Georgia Tech.

Professor
IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science

Yunan Luo

Yunan Luo
yunan@gatech.edu

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Assistant Professor, Computational Science and Engineering
Additional Research

Deep learning Transfer learning Sequence and graph representation learning Network and system biology Functional genomics Cancer genomics AI-guided biological design and discovery

IRI 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

Jian Luo

Jian Luo
jian.luo@ce.gatech.edu

Dr. Jian Luo completed his undergraduate and M.S. studies at Tsinghua University, Beijing, where he received a B.Sc.(Eng.) and a M.S. degree in Environmental Engineering in 1998 and 2000, respectively. He completed his Ph.D. in 2006 in Department of Civil and Environmental Engineering at Stanford University, California. The research Dr. Luo is conducting involves field, theoretical, and computational investigations of flow and reactive transport in subsurface; development and application of geostatistical methods for the spatial and temporal analysis of hydrogeologic and biochemistry data; development of computational algorithms and programs to simulate subsurface flow and reactive transport, and to assess the associated uncertainty; inverse modeling to estimate flow and transport parameters under uncertainty; and use of such computational methods and models to assess subsurface contamination, and to aid the optimal design of groundwater remediation operations.

Professor
BBISS Lead: Coastal Urban Flooding
Phone
(404) 385-6390
Additional Research
Geosystems; Water
IRI and Role
Sustainable Systems > Fellow
Sustainable Systems > Initiative Lead
Data Engineering and Science > Faculty
Energy > Research Community
Sustainable Systems
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Civil and Environmental Engineering
Research Areas
Sustainable Systems
  • Ecosystem and Environmental Health

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

Alain Louchez

Alain Louchez
alain.louchez@gatech.edu

Alain Louchez is the Managing Director of the Center for the Development and Application of Internet of Things Technologies (CDAIT pronounced sedate) in charge of directing the Internet of Things (IoT)-related development efforts across the Georgia Institute of Technology (Georgia Tech).  He is a member of the Advisory Council of the Georgia Tech Center for International Business Education and Research (CIBER) and the Georgia Tech Lorraine (European campus) Advisory Board.

Prior to joining Georgia Tech, he held various executive positions including Vice President for BellSouth (now AT&T) Europe; Executive Director of BellSouth France, and General Manager of GTE/Verizon Media Ventures’ wireless video operations in Hawaii. Most recently, he was Vice President of Strategic Management at Numerex, a company focused on machine-to-machine communications (M2M). He was instrumental in the development of the M2M Standardization Task Force at the Global Standards Collaboration.

Alain served on the board of directors of France Telecom Mobiles Data (France Telecom’s wireless data subsidiary); Cofira (Videndi’s founding parent of SFR, France’s second largest telecommunications operator); Com-Dev (a subsidiary of the Caisse des Dépôts et Consignations group in charge of cable TV), SINEDI/Com-Dev Images (a holding company dedicated to investments in some French thematic TV channels such as Canal J, Planète, CinéCinéma, etc.) and Datech (BellSouth’s French direct marketing subsidiary).

Principal Research Associate
Additional Research
Internet of Things
IRI and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
GTRI
Geogia Tech Research Institute

Fang (Cherry) Liu

Fang (Cherry) Liu

Dr. Fang (Cherry) Liu is a Research Scientist at Partnership for Advanced Computing Environment (PACE) center at Georgia Tech. She actively provides expert diagnosis and resolution of complex technical issues with High Performance Computing (HPC) resources; leverages HPC software and application stack, including compilers, scientific libraries and user applications to effectively run on HPC environment; educates campus-wide HPC community, teaching courses including introduction to Linux, intermediate Linux, introduction to Python and Python for Data Analysis courses; and does on-going research on big data with school of computational science and engineering (CSE) faculties. She is awarded the title of Adjunct Associate Professor by CSE to better serve campus HPC community in both teaching and research.

Before joining Georgia Tech, she was an assistant scientist at mathematics and computational science division at Department of Energy (USDOE) Ames Laboratory, where she gained extensive experience with multi-disciplinary research team and worked closely with world-class domain scientists from physics, chemistry and fusion energy. The projects she participated in included scientific workflows and data management system for nuclear physics applications, GPU computing for large scale quantum chemistry applications, concurrent data processing for fusion simulation through distributed component infrastructure, and so much more.

Her research interests broadly span parallel/distributed scientific computing, software interface design for monolithic scientific applications, multi-physics and multi-code coupling, multilevel parallelism support for Multi-Physics coupling, data management and provenance for scientific applications, big data infrastructure design and implementation, and data analytics for large graph dataset.She has been served as program committee member for various conferences including HPC, ICCS, ICCSA, CBHPC, ICPP, and she also was vice program general chair, program general chair for HPC2012 and HPC2013, now she sits in program steering committee for HPC since 2014.

Currently her primary interest focuses on tackling big data issues with using Hadoop and Spark in graph database, security and streaming data, while she is closely working with professor Polo Chau's group.

Dr. Liu graduated from Indiana University at Bloomington in 2009 with a Ph.D. degree in Computer Science. Her dissertation titled, "Building Sparse Linear Solver Component for Large Scale Scientific Simulation and Multi-physics Coupling," and her Ph.D. advisor was Professor Randall Bramley.

Senior Research Scientist | Partnership for an Advanced Computing Environment
Adjunct Faculty
IRI 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

Galyna V. Livshyts

Galyna V. Livshyts
glivshyts6@math.gatech.edu

Galyna Livshyts completed her undergraduate studies in Kharkiv, Ukraine. She obtained her PhD from Kent State University in Ohio in 2015 under the supervision of Artem Zvavitch. Since 2015, Galyna has been an assistant professor at the School of Math, Georgia Institute of Technology. In Fall 2017, she was a postdoc at the MSRI program in Geometric Asymptotic Analysis and Applications at MSRI, Berkeley. Galyna is interested in High-dimensional Probability and Convexity, as well as Asymptotic Analysis and Random Matrix Theory.

Office
Skiles 228
IRI and Role
Data Engineering and Science > Research Community
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

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

Julie Linsey

Julie Linsey
julie.linsey@me.gatech.edu

Dr. Julie Linsey is an associate professor at Georgia Institute of Technology in the Mechanical Engineering Department. She earned a PhD and MS in mechanical engineering from The University of Texas at Austin and a BS in mechanical engineering from the University of Michigan. From 2008 to 2012, she worked as an assistant professor at Texas A&M University. Her research focus is on systematic methods and tools for innovative design with a particular focus on concept generation and design-by-analogy. She has co-authored over fifteen technical publications including two book chapters and holds two patents.

Professor
Additional Research
Engineering Design Theory and MethodsEngineering InnovationEngineering EducationDesign-by-AnalogyDesign CognitionConceptual Design
IRI and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering