Robert Butera

Robert Butera
rbutera@gatech.edu
Website
Chief Research Operations Officer
Professor
Phone
404-894-2935
Office
UAW 3111
Additional Research

Neuromodulation of peripheral nerve activity real-time control methods applied to electrophysiology measurements Autonomic modulation of visceral organs. Our laboratory combines engineering and neuroscience to tackle real-world problems. We utilize techniques including intracellular and extracellular electrophysiology, computational modeling, and real-time computing.

Research Focus Areas
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https://scholar.google.com/citations?hl=en&user=_DT8jHD7dGYJ&view_op=list_works&sortby=pubdate
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Sam Brown

Sam Brown
sam.brown@biology.gatech.edu
Website

Sam Brown's lab studies the multi-scale dynamics of infectious disease. Their goal is to improve the treatment and control of infectious diseases through a multi-scale understanding of microbial interactions. Their approach is highly interdisciplinary, combining theory and experiment, evolution, ecology and molecular microbiology in order to understand and control the multi-scale dynamics of bacteria pathogens.

Professor
Office
ES&T 2244
Additional Research
Evolutionary microbiology, bacterial social life, virulence and drug resistance
Google Scholar
https://scholar.google.co.uk/citations?user=ZgN-OgMAAAAJ&hl=en
http://biosci.gatech.edu/people/sam-brown
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Greg Eisenhauer

Greg Eisenhauer
eisen@cc.gatech.edu
Website
Greg Eisenhauer is a research scientist in the College of Computing at the Georgia Institute of Technology and Technical Director of the Center for Experimental Research in Computer Systems. His research focuses on data-intensive distributed applications in enterprise and high-performance systems. Technical topics of interest include: high-performance I/O for petascale machines; efficient methods for managing large-scale systems, techniques for runtime performance and behavior monitoring, understanding and control; middleware for high-performance data movement and in transit data processing, QoS-sensitive data streaming in pervasive and wide-area systems, and experimentation with representative applications in the high-performance computing and enterprise domains. He received the Bachelor's of Computer Science (1983) and a Master's of Computer Science (1985) from the University of Illinois, Urbana-Champaign. He received his Ph.D. from the Georgia Institute of Technology in 1998. His thesis work demonstrated object-based methods for efficient program monitoring and steering of distributed and parallel programs using event-based monitoring techniques and code annotations.
Senior Research Scientist
Phone
404.894.3227
Additional Research
Large-Scale or Distributed Systems; Software & Applications
Greg
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Rich DeMillo

Rich DeMillo
rad@gatech.edu
www.demillo.com

Richard DeMillo is the Charlotte B. and Roger C. Warren Professor of Computing at Georgia Tech. He was formerly the John P. Imlay Dean of Computing. Positions he has held prior to joining Georgia Tech include: Chief Technology Officer for Hewlett-Packard, Vice President of Computing Research for Bell Communications Research, Director of the Computer Research Division for the National Science Foundation, and Director of the Software Test and Evaluation Project for the Office of the US Secretary of Defense. He has also held faculty positions at the University of Wisconsin, Purdue University and the University of Padua, Italy. His research includes over 100 articles, books and patents in algorithms, software and computer engineering, cryptography, and cyber security. In 1982, he wrote the first policy for testing software intensive systems for the US Department of Defense. DeMillo and his collaborators launched and developed the field of program mutation for software testing. He is a co-inventor of Differential Fault Cryptanalysis and holds what is believed to be the only patent on breaking public key cryptosystems. He currently works in the area of election and voting system security. His work has been cited in court cases, including a 2019 Federal Court decision declaring unconstitutional the use of paperless voting machines. He has served as a foreign election observer for the Carter Center and is a member of the State of Michigan Election Security Commission. He has served on boards of public and private cybersecurity and privacy companies, including RSA Security and SecureWorks. He has served on many non-profit and philanthropic boards including the Exploratorium and the Campus Community Partnership Foundation (formerly the Rosalind and Jimmy Carter Foundation). He is a fellow of both the Association for Computing Machinery and the American Association for the Advancement of Science. In 2010, he founded the Center for 21st Century Universities, Georgia Tech’s living laboratory for fundamental change in higher education. He served as Executive Director for ten years. He was named Lumina Foundation Fellow for his work in higher education. His 2015 book Revolution in Higher Education, published by MIT Press, won the Best Education Book award from the American Association of Publishers and helped spark a national conversation about online education.  He co-chaired Georgia Tech’s Commission on Creating the Next in Education.  The Commission’s report was released in 2018. He received the ANAK Society’s Outstanding Faculty Member Award.

Professor
Phone
404-385-4273
Office
CODA 0962B
Additional Research
Algorithms; Computer Engineering; Architecture & Design; Data Security & Privacy; Encryption; Network Security; Software & Applications
University, College, and School/Department
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Amirali Aghazadeh

Amirali Aghazadeh
aaghazadeh3@gatech.edu
Profile Page

Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University. His research focuses on developing machine learning and deep learning solutions for protein and small molecular design and engineering.
 

Assistant Professor
Phone
713-257-5758
Office
CODA S1209
Google Scholar
https://scholar.google.com/citations?hl=en&user=87wBxzUAAAAJ&view_op=list_works&sortby=pubdate
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Jacob Abernethy

Jacob Abernethy
prof@gatech.edu
Website

Jacob Abernethy is an Associate Professor in the College of Computing at Georgia Tech. He started his faculty career in the Department of Electrical Engineering and Computer Science at the University of Michigan. He completed his Ph.D. in Computer Science at the University of California at Berkeley, and then spent two years as a Simons postdoctoral fellow at the CIS department at UPenn. Abernethy's primary interest is in Machine Learning, with a particular focus in sequential decision making, online learning, online algorithms and adversarial learning models. He did his Master's degree at TTI-C, and his Bachelor's Degree at MIT.

Director for Student Engagement, IDEaS
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Alexander Alexeev

alexander.alexeev@me.gatech.edu
Website

Dr. Alexeev came to Georgia Tech at the beginning of 2008 as an assistant professor. His research background is in the area of fluid mechanics. He uses computer simulations to solve engineering problems in complex fluids, multiphase flows, fluid-structure interactions, and soft materials. As a part of his graduate research at Technion, he investigated resonance oscillations in gases and probed how periodic shock waves excited at resonance can enhance agglomeration of small airborne particles, a process which is important in air pollution control technology. He also investigated wave propagation in vibrated granular materials and its effect on fluidization of inelastic granules. During postdoctoral studies at TU Darmstadt, he examined how microstructures on heated walls can be harnessed to control thermocapillary flows in thin liquid films and to enhance heat transport in the fluid. That could be beneficial in many practical applications, especially in microgravity. At the University of Pittsburgh, he studied the motion of micrometer-sized, compliant particles on patterned substrates to develop efficient means of controlling movement of such particles in microfluidic devices. Such substrates are needed to facilitate various biological assays and tissue engineering studies dealing with individual cells.

Professor, Woodruff School of Mechanical Engineering
Additional Research
  • Computational Fluid Mechanics
Research Focus Areas
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Constantine Dovrolis

Constantine Dovrolis
constantine@gatech.edu
Website
For more than a decade, Constantine Dovrolis has been exploring the evolution of our interconnected world. Dovrolis serves as a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology and is an affiliate of the Institute for Information Security & Privacy. He received his Bachelor's of Computer Engineering from the Technical University of Crete in 1995; Master’s degree from the University of Rochester in 1996, and his Doctoral degree from the University of Wisconsin-Madison in 2000.  Prior to joining Georgia Tech in August 2002, Dovrolis held visiting positions at Thomson Research in Paris, Simula Research in Oslo, and FORTH in Crete. His current research focuses on the evolution of the Internet, Internet economics, and on applications of network measurement.  He also is interested in cross-disciplinary applications of network science as it relates to biology, clIMaTe science and neuroscience. Dovrolis has served as an editor for the IEEE/ACM’s Transactions on Networking, the ACM Communications Review, and he served as the program co-chair for PAM'05, IMC'07, CoNEXT'11, and as the general chair for HotNets'07.  He was honored with the National Science Foundation CAREER Award in 2003.                                                   
Professor
Phone
404-385-4205
Office
Klaus 3346
Additional Research
Data Mining & Analytics; IT Economics; Internet Infrastructure & Operating Systems Network science is an emerging discipline focusing on the analysis and design of complex systems that can be modeled as networks. During the last decade or so network science has attracted physicists, mathematicians, biologists, neuroscientists, engineers, and of course computer scientists. I believe that this area has the potential to create major scientific breakthroughs, especially because it is highly interdisciplinary. We have applied network science methods to investigate the "hourglass effect" in developmental biology. The developmental hourglass' describes a pattern of increasing morphological divergence towards earlier and later embryonic development, separated by a period of significant conservation across distant species (the "phylotypic stage''). Recent studies have found evidence in support of the hourglass effect at the genomic level. For instance, the phylotypic stage expresses the oldest and most conserved transcriptomes. However, the regulatory mechanism that causes the hourglass pattern remains an open question. We have used an evolutionary model of regulatory gene interactions during development to identify the conditions under which the hourglass effect can emerge in a general setting. The model focuses on the hierarchical gene regulatory network that controls the developmental process, and on the evolution of a population under random perturbations in the structure of that network. The model predicts, under fairly general assumptions, the emergence of an hourglass pattern in the structure of a temporal representation of the underlying gene regulatory network. The evolutionary age of the corresponding genes also follows an hourglass pattern, with the oldest genes concentrated at the hourglass waist. The key behind the hourglass effect is that developmental regulators should have an increasingly specific function as development progresses. Analysis of developmental gene expression profiles from Drosophila melanogaster and Arabidopsis thaliana provide consistent results with our theoretical predictions. We are currently working on the inference and analysis of functional and brain networks. More information about this project will be posted soon.
Research Focus Areas
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http://scholar.google.com/citations?user=gx5yJfcAAAAJ&hl=en&oi=ao
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Flavio Fenton

Flavio Fenton
flavio.fenton@physics.gatech.edu
Website

My work is on excitable media, complex systems, and pattern formation, using a combined approach of theory, experiments, and computer simulations.

Interested in: Complex Systems, Experimental physiology, Biophysics, High performance computing and GPU.

Professor
Phone
516-672-6003
Office
Howey N05
Additional Research
  • Bioinformatics
  • High Performance Computing
Research Focus Areas
University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?user=jKiNd-0AAAAJ&hl=en
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Cassie Mitchell

Cassie Mitchell
cassie.mitchell@bme.gatech.edu
Lab Website

Dr. Cassie S. Mitchell is a research engineer, elite athlete, and mentor. She is a current member of the USA Paralympic team and research faculty in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. At age 18 Cassie was afflicted with Devics Neuromyelitis Optica, leaving her as a quadriplegic and with visual impairments. Her faith and philosophy on life has helped her to overcome the resulting challenges. She graduated with a B.S. in Chemical Engineering from Oklahoma State University and a Ph.D. in Biomedical Engineering from GT/Emory. She enjoys mentoring high school and college students as well as new spinal cord injury patients at Shepherd Center Brain and Spinal Cord Rehabilitiation Hospital, Atlanta, Georgia.

Assistant Professor
Office
UAW 3106
Additional Research
  • Data Modeling for Diseases
  • Neuroscience
Research Focus Areas
Google Scholar
https://scholar.google.com/citations?user=FpxAYrgAAAAJ&hl=en
Personal Website
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