Georgia Tech School of Computer Science 2023 Annual Report
The School of Computer Science (SCS) is a dynamic community of students, faculty, and staff, all united by a common mission: to advance the field of Computer Science through innovative teaching and pioneering research.
In this report, you’ll discover the key activities and accomplishments of the School during the 2022/23 academic year1. Our community continues to flourish in both research and education. In addition to the growth in our student body, faculty, and staff, we’ve experienced significant intellectual progress. This year, we’re proud to introduce a new academic focus, the Foundations of AI, which combines the expertise of our existing faculty with that of newly hired scholars to further push the frontiers of artificial intelligence.
The report also showcases the diverse scope of our work by highlighting research contributions and celebrating the individual achievements of our faculty and students.
In line with our commitment to broadening our educational mission, we’ve expanded our curriculum by introducing an online version of our popular Computing for Good course. You’ll also read about the creation of the Graduate Student Association, an initiative led by our graduate students and supported by the School, College, and Institute. This organization has already launched a number of impactful activities and initiatives.
Finally, we wrap up with an overview of the annual Center for Research into Novel Computing Hierarchies (CRNCH) Summit, which brings together researchers to discuss the latest breakthroughs in hardware and software for modern computing platforms.
This report offers just a glimpse into the many initiatives and achievements within the SCS community. We look forward to your continued engagement as we pursue excellence in our academic mission.
Mostafa Ammar School of Computer Science Interim Chair
1During that period, SCS was led by the current Dean of the College of Computing, Vivek Sarkar. The faculty listings are as of the time of this writing in Fall 2024.
SCHOOL MISSION
Georgia Tech’s School of Computer Science is home to a group of faculty and researchers with breadth and strength in all aspects of the computational process— from the algorithms to the architecture, from theory to networking, from system design to the programming environments to databases.
The SCS mission is produce the people, tools, and ideas to power computation into the future:
“We turn imagination into reality.”
MEET OUR NEW FACULTY
Suguman Bansal joined the School in spring 2023 as an assistant professor. Her research is focused on formal methods and their applications to artificial intelligence (AI), programming languages, and machine learning. Before joining Tech, Bansal was an National Science Foundation/Computing Research Association Computing Innovation Postdoctoral Fellow at the University of Pennsylvania. She completed her Ph.D. at Rice University.
Vijay Ganesh joined SCS as a professor in 2023. Prior to joining Georgia Tech, Vijay was a professor at the University of Waterloo in Canada from 2012 to 2023 and a research scientist at the Massachusetts Institute of
SCHOOL
Technology from 2007 to 2012. Vijay completed his PhD in computer science from Stanford University in 2007. Vijay’s primary area of research is the theory and practice of SAT/SMT solvers, and their application in AI, software engineering, security, mathematics, and physics.
Anand Iyer joined SCS in spring 2023 as an assistant professor. He is interested in the systems and networking space, with a current focus in systems that span the cloud, the network, and the edge in enabling efficient data analysis and machine learning. He received a Ph.D. in computer science from the University of California at Berkeley and spent time as a researcher at Microsoft Research.
Yingyan (Celine) Lin joined in fall of 2022 as an associate professor. She received a Ph.D.
degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2017. Her research includes algorithm or accelerator innovations for efficient machine learning systems. Lin leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations, from algorithm to architecture down to chip design, aiming to promote green AI and enable ubiquitous machine learning powered intelligence.
Will Perkins joined SCS in the fall of 2022 as an associate professor. Previously, he was faculty at the University of Illinois at Chicago, the University of Birmingham in the UK, and an NSF postdoc at Georgia Tech. His research interests generally include algorithms, statistical physics, and discrete mathematics.
Will Perkins
Kexin Rong
Jan van den Brand
Suguman Bansal
Vijay Ganesh
Anand Iyer
Yingyan (Celine) Lin
Steve Mussmann
Zongchen Chen
Kexin Rong joined in fall of 2022 as an assistant professor. She received a Ph.D. in computer science from Stanford University in 2021 and a B.S. in computer science from the California Institute of Technology in 2015. She is interested in developing systems and tools to help simplify large-scale data analytics, i.e., making it easy for non-experts to use their large and complex datasets, by synthesizing techniques from data management, machine learning, and human-computer interaction. She is part of the Georgia Tech database group.
Jan van den Brand joined the School in fall of 2022 as an assistant professor. Previously, he was a postdoctoral researcher at UC Berkeley and the Simons Institute for the Theory of Computing. He received his Ph.D. in computer science from KTH and was awarded the EATCS and SMC Dissertation awards. His research is on the design and analysis of efficient algorithms and data structures with a focus on optimization and dynamic problems.
Steve Mussmann joined SCS in Fall 2024 as an assistant professor. Prior to this, he was a full-time machine learning researcher at Coactive AI. He finished a postdoc at the University of Washington in September 2023. Mussmann graduated with a Ph.D. in computer science from Stanford University in 2021. His research is driven by making ML easier-to-use, more effective, and more likely to be used in beneficial ways. His work often falls under the umbrella of data-centric machine learning.
Zongchen Chen joined the School in Fall 2024 as an assistant professor. Previously, he was an assistant professor at the University at Buffalo, and an instructor (postdoc) in the Department of Mathematics at The Massachusetts Institute of Technology. He received his Ph.D. from Georgia Tech in 2021. Chen has broad interests in randomized algorithms, discrete probability, and machine learning. His research currently focuses on Markov chain Monte Carlo (MCMC) methods, approximate counting and sampling, and learning and testing of high-dimensional distributions. n
SCS BY THE NUMBERS
Ph.D. students
Primary tenure and tenure-track 10 Non-tenure track 9 Joint
Awarded proposals
In recent years, advancements in artificial intelligence (AI) have skyrocketed, along with interest in the field.
Research Area Highlights IMPORTANCE OF FOUNDATIONAL AI
To keep pace with this growth, the School of Computer Science (SCS) has renamed its Foundations of Machine Learning research area to Foundations of Artificial Intelligence (FoAI).
Professor Constantine Dovrolis, FoAI coordinator, says the evolution reflects the broader field of AI, where machine learning is only a subset.
“We wanted to change the name to be more inclusive and open to different perspectives in the broader AI area,” he said.
FoAI focuses on the fundamentals of AI, which the updated name reflects. It includes researchers involved in many aspects of AI, including computing systems hardware and software, data systems and analytics, formal methods, and theory.
“It has been exciting to see the FoAI area take off in our school after a deep-dive discussion in a faculty retreat,” said SCS Chair Vivek Sarkar. “We look forward to contributing to Georgia Tech’s overall advancement in AI from a foundational perspective.”
Assistant Professor Alexey Tumanov, who assisted in the creation of the area, says he has seen a lot of growth in fundamental AI since its beginning.
“I think it has solidified itself as a very solid pillar alongside the existing areas in the School of Computer Science. So, I think that it’s going to become even more popular and even more active in the next couple of years,” he said.
Tumanov’s Systems for Artificial Intelligence (SAIL) Lab works across the AI stack, but most of its
projects fit within the intersection of systems and machine learning.
Associate Professor Yingyan (Celine) Lin utilizes the objectives of efficiency and enhanced capabilities within AI through her leadership of the Efficient and Intelligent Computing (EIC) Lab.
“The future of AI rests on its foundational princi-
things work or when they work. Developing the foundations of general AI is a critical need for the future,” Vempala said.
Assistant Professor Kexin Rong’s research focuses on making large-scale data analysis more efficient and accessible for users at all skill levels. Her research group develops systems and algorithms to address data management challenges that arise in data collection, preprocessing, model training, and validation.
ples prioritizing efficiency, sustainability, explainability, and trustworthiness to amplify its capabilities and societal impact. The creation of the area of FoAI in our school is a visionary step that arrives at a critical juncture,” Lin stated.
Professor Santosh Vempala is also a member of FoAI and has interests relating to the field, including machine-learning theory and randomness.
Vempala is interested in a theory of the brain and how it relates to AI. He has been working to create a model of the human brain to mathematically understand how its processes work.
“With the impressive developments going on with AI right now, maybe the biggest concern is the lack of foundations. We don’t understand how many
Rong says she finds the FoAI research area to be open for collaboration.
“There’s lots of interest from students and faculty about this area and I’m excited to see where it goes next,” Rong said.
Professor Vijay Ganesh works with automated reasoning, or solvers, which is part of symbolic AI. Solvers are useful in helping make AI systems trustworthy and secure. They also impact other areas of computer science such as software engineering.
“Foundations of AI is a very important area because it focuses on problems that are cross-cutting and foundational to the entire field of AI,” Ganesh said. “These include the problem of how one can make AI systems trustworthy, secure, and resilient.”
Other SCS faculty involved in FoAI include: Jacob Abernethy, Joy Arulraj, Suguman Bansal, Xu Chu, Anand Iyer, Ling Liu, Stephen Mussmann, and Sahil Singla.
Research areas in the School are groups focused on a specifical field of computer science. Areas are interdisciplinary and faculty members often belong to more than one. Other SCS research areas include: Computer Architecture, Data Systems and Analytics, Networks, Programming Languages and Software Engineering, Systems, and Theory. n
Research Highlights
NEW RESEARCH AWARD MAY LEAD TO BETTER TOOLS FOR INTELLIGENCE COMMUNITY
The U.S. intelligence community may soon have a faster and more efficient way of analyzing and storing complex data.
Georgia Tech researchers have been awarded $15.8 million by the Advanced Graphic Intelligence Logical Computing Environment (AGILE) program to develop new computer system designs that can execute large-scale data-analytic applications and solve other classes of large irregular problems more than a hundred times more efficiently than current designs.
The project, named Flow-Optimized Reconfigurable Zones of Acceleration (FORZA), is led by Vivek Sarkar, Chair of the School of Computer Science (SCS) and Stephen Fleming Chair for Telecommunications. Sarkar emphasized the unique opportunity to co-design new systems to tackle inefficiencies in executing irregular data-analytic applications, such as graph algorithms.
The AGILE program is a partnership between the Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory. It aims to help the intelligence community process and store increasingly complex and large amounts of data by developing novel computer architectures.
Co-investigators include SCS Professor Tom Conte, SCS Assistant Professor Alex Daglis, SCS Professor and Co-Director of the Center for Research into Novel Computing Hierarchies (CRNCH) Hyesoon Kim, CSE Professor and CRNCH Co-Director Rich Vuduc, and SCS Senior Research Scientist Jeff Young. The award will also support research collaborators at Cornelis Networks, Lucata Corporation, the University of California Santa Cruz (UCSC), and the University of Notre Dame (ND).
Rich Vuduc highlighted the multidisciplinary nature of the research, describing it as an ultimate final exam for computer science systems and algorithms students. Hyesoon Kim noted that the project’s goals align with CRNCH’s mission to explore new paths in the post-Moore’s Law era, where chip transistor counts no longer double every 1.5 to 2 years.
Kim added that the program allows for reconsidering
processor design from scratch to handle irregular large-scale data more efficiently.
NEW RESEARCH EXPLORES INDOOR NAVIGATION
Anew technology leveraging ultra-wide band (UWB) radio technology aims to revolutionize indoor navigation, offering a simple method for navigating indoor spaces.
Georgia Tech School of Computer Science Assistant Professor Ashutosh Dhekne and student Haige Chen presented their paper, PnPLoc: UWB Based Plug & Play Indoor Localization, at IPIN (Indoor Positioning and Indoor Navigation) 2022, where it won the best paper award.
Their research focuses on using UWB to map and help individuals navigate indoor environments. They developed PnPLoc, a system comprising UWB “anchor” devices placed throughout a building and a “passive wireless listener” that connects to a user’s cellphone. These devices communicate wirelessly, enabling users to determine their indoor location.
Dhekne explained that UWB functions similarly to GPS but is more effective indoors, where GPS signals struggle due to obstructions like walls. “If you’re looking for a specific room in a large building on campus, currently GPS won’t help you,” Dhekne said. “Having a system like this in a building allows you to navigate from the building’s entrance to your indoor destination.”
PnPLoc is designed to be inherently privacy-preserving, scalable, and easy to install and use. The “anchor” devices can plug into any wall socket, and a guidance system helps building managers determine optimal anchor placement for coverage.
“This paper solves two important challenges in indoor localization that have been around for a long time: having both a privacy-preserving and scalable solution,” Dhekne noted.
The technology has multiple potential applications, including facility management, meetups, location-based reminders, and emergency location services. While maintaining user privacy and requiring appropriate permissions, the system could share a user’s location within a structure to building managers, enhancing user experience and efficiency.
“One of the motivations of this paper was to make the leap from indoor localization as a research field to making it a tool commonly used by everyone,” Chen said. “I think that’s one of our main achievements here.”
This technology forms the foundation for several related projects under Dhekne’s mentorship, including demonstrations at UbiComp 2022, MobiSys 2022, HotMobile 2023. This work is supported by Dhekne’s NSF CAREER award and by Cisco.
GEORGIA TECH AND COLLABORATORS RECEIVE GRANT TO IMPROVE UNDERSTANDING OF THE MOBILE BROADBAND EXPERIENCE
While cellular networks are a key method for internet access, millions of Americans in rural communities and on tribal lands lack basic connectivity access. To make connectivity more equitable, researchers at the Georgia Institute of Technology are developing open-source software to empower citizens to report on cellular network quality and places without any connectivity.
With a new grant from The Rockefeller Foundation, combined with funding from the National Science Foundation, researchers aim to create CellWatch, a technology ecosystem comprised of a mobile application for network measurements, a community planning dashboard and map, and a cellular quality prediction tool. CellWatch will enable everyday people to take connectivity measurements and merge their data with others in their community. The goal is to eventually have informed machine learning algorithms and statistical analysis be able to predict the quality of service in other areas that have not yet been measured and empower communities to improve their own cell coverage.
“Mapping mobile broadband turns out to be a very hard technical problem because quality of coverage depends on complex factors, not just how close you are to a tower,” said Ellen Zegura, a professor in the School of Computer Science.
Zegura is one of three principal investigators on the grant. Her collaborators include Elizabeth Belding, a computer science professor at the University of California, Santa Barbara, and Morgan Vigil-Hayes, an assistant professor in computer
science at Northern Arizona University. At Georgia Tech, Scott Robertson in the Institute for People and Technology is leading the software development effort and Yao Xie, an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), will be doing machine learning and statistical modeling.
CONNECTIVITY COMPLICATIONS
Understanding cell coverage and quality is difficult. The FCC requires all network providers report their coverage areas, but provider maps generally overestimate where coverage exists. While the FCC makes the provider coverage data available to the public, it’s notoriously inaccurate.
“Our goal with CellWatch is to empower everyday citizens to get involved in advocating for high quality internet to their communities to increase access to services, employment, health, and education,” Zegura said.
Creating CellWatch
The researchers involved intend CellWatch to make it accessible for citizens to map their own networks and challenge the FCC through CellWatch’s three-prong project:
n CellWatch Mobile Application: The Android measurement app will be built to comply with FCC requirements so users can successfully challenge provider coverage claims. A backend database will maintain data security and allow aggregation of measurements from different sources.
n CellWatch Community Coordination Tool: This interactive dashboard and map will aid citizens in organizing campaigns to challenge providers while meeting FCC requirements.
n CellWatch Prediction: Machine learning algorithms will predict mobile broadband performance using data collected by CellWatch tools and other public datasets.
All tools will be publicly available and open source to enable access for everyone. Ultimately, CellWatch’s goal is let citizens into the reporting process to democratize coverage and eventually collect enough data that the process can be automated. n
FACULTY + STUDENT HIGHLIGHTS
n NSF CAREER Award, Assistant Professor Qirun Zhang, Awarded by the National Science Foundation
n NSF CAREER Award, Associate Professor Joy Arulraj, Awarded by the National Science Foundation
n IEEE TCDE Award 2022, Associate Professor Joy Arulraj, Awarded by the Institute of Electrical and Electronics Engineers
n IBM Ph.D. Fellowship Award 2022, Ph.D. student Ka Ho Chow, Awarded by IBM
n Meta Faculty Research Award on Efficient AI, Yingyan (Celine) Lin, Awarded by Meta
n NSF CAREER Award, Assistant Professor Paul Pearce, Awarded by the National Science Foundation
n DARPA Riser 2022, Assistant Professor Ahmed Saeed, Improving the Performance and Robustness of LEO Satellite Networks, Awarded by DARPA.
n 2023 Institute of Electrical and Electronics Engineers (IEEE) Fellow, Professor Moinuddin Qureshi, awarded by the Institute of Electrical and Electronics Engineers
n 2022 Association for Computing Machinery (ACM) Fellow, Professor Moinuddin Qureshi, awarded by the Association for Computing Machinery
n 2022 ACM SIGARCH Maurice Wilkes Award, Professor Moinuddin Qureshi, awarded by the Association for Computing Machinery
n Class of 1934 Distinguished Professor Award, Regents’ Professor Ellen Zegura, awarded by the Georgia Institute of Technology
Online CS Course Gives Students Unique Opportunity
Anew online computer science course is giving students the opportunity to put their education and skills to use to solve real world problems.
The Computing for Good course draws on both the self-focused and altruistic sides of students by presenting computer science as a viable way to solve problems of personal interest as well as problems that are important to society.
During the class, students work with nonprofits and other organizations to develop computing solutions to aid them in their mission. Past projects have been devoted to promoting education and awareness of environmental and food access issues.
Although the course has been offered before in-person, spring of
Nova Ahmed
2022 was the first time the course was offered online as part of Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program. The recent class included ten student projects, with around half of these being tested and deployed into use by the partner organizations.
Computer Science Professor Santosh Vempala, who teaches the course, said it gives students an opportunity to use their knowledge and skills in a real-world application.
“It’s hard to find a domain where some kind of computer science or computing idea won’t be useful,” Vempala said. “Anything from a website that works well or a way to streamline a process would be helpful.
OMSCS student Iris Ho’s project focused on a program that could be
used by secondary schools to help students who may be at risk.
The program they created used machine learning to predict which students might need extra attention or help in the classroom. The group partnered with a New York City public school and tested the project on the school’s eighth grade students.
Ho said that the school was temporarily able to implement their project and that many of the school’s teachers found it was a useful tool to aid their students.
“When you’re developing and testing something, there are always some frustrations. But being able to create a goal and propose our idea and then seeing that be fulfilled was the really exciting part of the course,” Ho said. n
STUDENT ORGANIZATION CREATES Community Within School
Since its founding three years ago, the School of Computer Science Graduate Student Association (SCS-GSA) has become a vital channel for social engagement, mentorship, and leadership development within the school.
The idea for the organization came about in the fall of 2020 to give students a sense of community during the COVID-19 pandemic. The SCS-GSA registered as an official campus student organization in early 2021.
The SCS-GSA held its first in-person event, a welcome celebration for the new semester, in September 2021. The event was memorable because it was the first time that many students and faculty members had seen each other in person since the start of the pandemic.
The event remains one of the SCS-GSA’s most significant events, with new and returning faculty and students enjoying fun, food, and games on Tech Green.
Along with the welcome celebration, the SCS-GSA hosts events for the SCS community throughout the year. These include group hikes, a year-end gala, and faculty panel discussions.
“We get to learn not just about their research, but also more about them, what motivated them to get into research, or how their background shaped their journey. We’ve also organized panels where students can learn more about academic jobs and the opportunities and responsibilities academia entails,” said Vaibhav Bhosale, SCS-GSA president and SCS Ph.D. student.
The organization is based in the SCS, but many of its members are students in the School of Cybersecurity and Privacy (SCP), and events are open to all Georgia Tech students.
“Since its creation, SCS-GSA has emerged as the community hub of our school. I am especially impressed by the dedication of the SCS-GSA officers and their thoughtfulness in organizing a wide range of events for students and faculty,” said SCS Chair Vivek Sarkar.
“Their social events such as fireside chats with graduate alumni, student poster sessions, lunch with labs, and even a panel on learning from failures benefit everyone in our college.”
The SCS-GSA has become a valuable asset for the school community.
SCS-GSA leaders say the organization’s main goal has been to increase student participation in school activities and provide a community for students. The group has also allowed for a more open and effective dialogue with School leadership and faculty. This year, the GSA created a survey for Ph.D. students on their opinions on their program, workload, and any other concerns they might have, with the results being sent to faculty.
One of the SCS-GSA’s new initiatives is a student mentorship program, which pairs first-year Ph.D. students with senior students.
“Everyone I’ve talked to has found it useful. I think it helped because we tried to do the assignments so that people are paired with mentors from the same area, but not from the same lab,” said SCS Ph.D. student Marina Vemmou, SCS-GSA faculty affairs co-chair.
“When I joined Georgia Tech, it wasn’t easy to meet anyone who’s not under my advisor, and it can be useful to know people in different circles. Everyone I’ve spoken with has met with their mentors at
least once, and at least they have another point of contact in the school,” Vemmou added.
Most members agree that the organization has helped them meet new people and socialize when they might not have otherwise.
“It helps because, as Ph.D. students, our lives are very isolated. We’re always sitting in our labs doing our work and don’t have much opportunity to go out and talk to other Ph.D. students who are not directly working with us. At the GSA events, you get a chance to meet new people and make friends,” said SCP Ph.D. student Akshaya Kumar, SCS-GSA faculty affairs co-chair.
The SCS-GSA has become a valuable asset for the school community. The organization hopes to continue growing while fostering social connections, leadership skills development, and mentorships.
“Once you finish your Ph.D., a lot of what you might do next will require leadership skills for your roles, whether you go to academia or industry. Taking on a leadership role in the GSA is a great way to gain those skills,” Bhosale said. n
In February 2023, the Center for Research into Novel Computing Hierarchies (CRNCH) hosted its annual CRNCH summit. Just in its fourth year, this event has quickly become one of the top forums for discussion about the future of computing once Moore’s Law – the industry-wide trend of doubling transistors in a microchip nearly every two years – can no longer be sustained.
“The CRNCH summit serves as a gathering spot for both software and hardware researchers to collaborate on designing the future of computing platforms. It’s a place to generate innovative and disruptive ideas in the realm of technology,” said Hyesoon Kim, co-director of CRNCH and School of Computer Science (SCS) professor.
This was the center’s first in-person summit since 2020, and organizers said it was the most successful one so far, with around 100 attendees on both days of the event.
The summit’s two keynote speakers were James Hoe, an electrical and computer engineering professor at Carnegie Mellon University, and Jeffrey Vetter, a corporate fellow at Oak Ridge National Laboratory.
CRNCH SUMMIT
Their keynotes focused on reconfigurable computing clusters and neuromorphic software and hardware design, respectively.
The event also gave Georgia Tech faculty an opportunity to showcase their research. SCS Chair Vivek Sarkar presented the IARPA-funded project on Flow-Optimized Reconfigurable Zones of Acceleration (FORZA) led by Georgia Tech. SCS Associate Professor Celine Lin presented her research on deep learning-powered intelligence. Several School of Computational Science and Engineering faculty also took part in a panel on artificial intelligence.
Another highlight of the summit was a student poster presentation session. Thirty-one students showcased their current research projects, many of which are making use of resources from CRNCH’S Rogues Gallery. Several students showcased their research from field programable gate arrays (FPGAs) provided through the Rogues Gallery.
“The summit is a great way to bring together people from these different areas to share ideas, collaborate, and broaden your experience with postMoore computing. It’s also unique in that it’s the only post-Moore computing workshop like this that we know of,” said SCS Research Scientist Jeff Young, who is also director of the Rogues Gallery. n
A ‘Place to Generate Innovative and Disruptive Ideas’ for the Future of
Computing
n Jacob Abernethy, Associate Professor
n Mustaque Ahamad, Professor
n Mostafa Ammar, Regents’ Professor, SCS Interim Chair
n Joy Arulraj, Associate Professor
n Suguman Bansal, Assistant Professor
n Zachary Bischof, Research Scientist II
n Alexandra Boldyreva, Professor
n Zongchen Chen, Assistant Professor
n Xu Chu, Assistant Professor
n Russell Clark, Senior Research Scientist
n Tom Conte, Professor, Associate Dean for Research
n Alexandros Daglis, Assistant Professor
n Alberto Dainotti, Associate Professor
n Ashutosh Dhekne, Assistant Professor
n Konstantinos Dovrolis, Professor
n Greg Eisenhauer, Principal Research Scientist
n Merrick Furst, Distinguished Professor
n Zvi Galil, Professor, Storey Chair, Executive Advisor for Online Programs
n Vijay Ganesh, Professor
n Ada Gavrilovska, Professor
n Akihiro Hayashi, Senior Research Scientist
n Josiah Hester, Associate Professor
n Anand Iyer, Assistant Professor
n Hyesoon Kim, Professor
n Taesoo Kim, Assistant Professor
n Vladimir Kolesnikov, Professor
n Wenke Lee, Professor
n Celine Lin, Associate Professor
FACULTY
n Ling Liu, Professor
n Divya Mahajan, Assistant Professor
n Amanda Meng, Research Scientist II
n Steve Mussmann, Assistant Professor
n Shamkant Navathe, Professor
n Alessandro Orso, Professor
n Santosh Pande, Professor, Associate Chair for Graduate Studies
n Will Perkins, Associate Professor
n Milos Prvulovic, Professor
n Calton Pu, Professor, John P Imlay, Jr Chair in Software
n Moin Qureshi, Professor
n Umakishore Ramachandran, Professor
n Dana Randall, Professor, ADVANCE Professor of Computing
n Kexin Rong, Assistant Professor
n Ahmed Saeed, Assistant Professor
n Vivek Sarkar, College of Computing Dean, Professor
n Sahil Singla, Assistant Professor
n Michael Specter, Assistant Professor
n Cecilia Testart, Assistant Professor
n Alexey Tumanov, Assistant Professor
n Santosh Vempala, Professor, Frederick G Storey Chair in Computing
n Jan van den Brand, Assistant Professor
n Jun Xu, Professor
n Qirun Zhang, Assistant Professor
n Ellen Zegura, Regents’ Professor, Stephen Fleming Chair in Telecommunications
