John A. Miller

Professor, School of Computing

Dr. John Miller is a Full Professor in the School of Computing at the University of Georgia, where he has served since 1986. He earned his Ph.D. in Information and Computer Science from the Georgia Institute of Technology and his undergraduate degree in Engineering Science and Applied Mathematics from Northwestern University.

Dr. Miller’s research spans modeling and simulation, database and distributed systems, web services and workflow management, big data analytics, and bioinformatics. His scholarly work integrates computational intelligence with emerging technologies, including deep learning, foundation models, and time series forecasting. He has also contributed extensively to the areas of semantic web processes, bioinformatics, and health informatics.

Education:
  • Ph.D.: Georgia Institute of Technology, 1986
Research Interests:
  • Computational Intelligence
  • Modeling and Simulation
  • Big Data and Database Systems
  • Web and Workflow Technologies
  • Bioinformatics and Health Informatics
  • Time Series Forecasting

John Gibbs

Professor, Department of Theatre & Film Studies

John Gibbs specializes in 3D computer modeling and animation, artificial intelligence and the creative arts, sound and media design, and modern drama. Before joining UGA, he served as director of the Digital Production Arts program at Clemson University. He has authored and co-authored numerous publications on Maya and 3D computer graphics, with translations into nine languages, and has written widely on artificial intelligence. His Ph.D. dissertation, No-thing is Left to Tell: Zen/Chaos Theory in the Dramatic Art of Samuel Beckett (1999), was published by Fairleigh Dickinson University Press.

In addition to academic work, Gibbs co-founded Artimatic, Inc., a company applying machine learning and AI to challenges in the digital art space. He also extends his educational outreach through his YouTube channel, “Dr. Know-it-all,” where he engages broader audiences on topics aligned with his areas of expertise.

Education:
  • Ph.D., English Literature, The Ohio State University
  • MS, Artificial Intelligence, The University of Georgia
  • MA, English, The Ohio State University
  • BA, Physics, Princeton University
Research Interests:
  • 3D computer modeling and animation
  • Artificial intelligence and the creative arts
  • Sound & media design
  • Modern drama
  • Applications of machine learning/AI in digital art

Bill Hollingsworth

Senior Lecturer, School of Computing

Bill Hollingsworth focuses on computing education and innovative pedagogy. He received the University of Georgia’s 2021 Creative Teaching Award, which recognizes faculty who develop and implement creative methods that improve student learning. His selection highlighted the development of Grafstate, an online learning program that has helped transform courses such as Theory of Computation.

Hollingsworth’s research area is computing education, and he holds a Ph.D. from the University of Cambridge (2008). His work emphasizes student success through thoughtfully designed digital platforms and course innovations.

Education:
  • PhD, Computer Science, University of Cambridge (2008)
  • MP, Linguistics, University of Cambridge (2003)
  • MA, Mathematics, University of Georgia (1999)
  • BS, Mathematics, University of Georgia (1997)
Research Interests:
  • Computing education

Aaron Meskin

Department Head, Professor- Aesthetics and Philosophy of Art, Philosophical Psychology, Philosophy of Food

Dr. Aaron Meskin is Professor and Head of the Department of Philosophy at the University of Georgia. Before joining UGA in 2019, he served as Professor of Philosophical Aesthetics at the University of Leeds and previously taught at Texas Tech University. He earned his Ph.D. from Rutgers University.

Dr. Meskin’s research centers on aesthetics and the philosophy of art, with additional work in philosophical psychology and the philosophy of food. His publications address topics such as aesthetic testimony, authorship, the definition of art, emotional responses to fiction, and the philosophical dimensions of comics, video games, and other contemporary art forms. He has co-edited multiple volumes and published widely across leading journals. Dr. Meskin is also active in professional service, holding leadership roles in both the British and American Societies of Aesthetics. His recent work includes collaborative projects on the aesthetics of food and the sensory experience of ethical consumption.

Education:
  • Rutgers University, PhD, Philosophy, 2000
  • Brown University, AB, Philosophy, 1989
Research Interests:
  • Aesthetics and Philosophy of Art
  • Philosophy of Mind and Psychology
  • Interdisciplinary Approaches to Art and Culture
  • Philosophy of Food and Everyday Aesthetics

In Kee Kim

Associate Professor, School of Computing

I am an Assistant Professor in the Computer Science at The University of Georgia. I have completed my Ph.D. in Computer Science in 2018 from the University of Virginia under the supervision of Prof. Marty Humphrey.

Education:
  • PhD, Computer Science, University of Virginia, 2018
Research Interests:

Current research interests are Cloud ComputingLarge-Scale Distributed Systems, and Edge/IoT. More specifically;

  • Systems research for cloud-scale machine learning/data science applications
  • Deep learning at the Edge
  • Edge computing for real-world IoT applications (e.g., Smart Home, Environmental Sensing, Transportation)
  • Cloud function and serverless computing
Selected Publications:

Shivani Arbats, Vinod K. Jayakumar, Jaewoo Lee, Wei Wang, In Kee KimWasserstein Adversarial Transformer for Cloud Workload PredictionIAAI-22 (Oral Presentation), Accepted, 2022

Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang, A Performance Testing for Cloud Computing with Dependent Data BootstrappingIEEE/ACM ASE (Accepted), 2021

Piyush Subedis, Jianwei HaosIn Kee Kim, Lakshmish Ramaswamy, AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge DevicesIEEE CLOUD , 2021

Jianwei Hao*s, Ting Jiang*s, Wei Wang, In Kee KimAn Empirical Analysis of VM Startup Times in Public IaaS CloudsIEEE CLOUD, 2021, [Full Version]

Omid Setayeshfar*, Karthika Subramani*, Xingzi Yuan, Raunak Dey, Dezhi Hong, Kyu Hyung Lee, In Kee KimChatterHub: Privacy Invasion via Smart Home HubIEEE SMARTCOMP, 2021

Jianwei Haos, Piyush SubedisIn Kee Kim, Lakshmish Ramaswamy, Characterizing Resource Heterogeneity in Edge Devices for Deep Learning InferencesACM SNTA@HPDC, 2021

Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang, A Self-Optimized Generic Workload Prediction Framework for Cloud ComputingIEEE IPDPS, 2020

In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey, Forecasting Cloud Application Workloads with CloudInsight for Predictive Resource ManagementIEEE Trans. on Cloud Computing (TCC), 2020

In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey, Guaranteeing Performance SLAs of Cloud Applications under Resource StormsIEEE Trans. on Cloud Computing (TCC), 2020

Lei Xians, Samuel Dakota Vickerss, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy, #selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-InjuryIEEE CogMI, 2019

In Kee Kim, Dongmei Yan, Brian Park, Jianhua Guo, Traffic Flow Insight: A Novel Online Ensemble Model for Short-Term Traffic Volume Prediction, TRB, 2019

Of note:

I am always looking for motivated grad and undergrad students with a strong background/interest in cloud computing, computer and distributed systems, and IoT. If you are interested in working with me, please email me with your interest or stop by my office. We should talk!

Ramviyas Nattanmai Parasuraman

Director of Graduate Studies, Institute for AI
Associate Professor, School of Computing

I am an Associate Professor in UGA's School of Computing, with a research focus on Robotics and specifically on Multi-Robot and Swarm Systems.

Education:
  • Ph.D.; Universidad Politécnica de Madrid (UPM), Spain, 2014
  • M.Tech.; Indian Institute of Technology, Delhi (IIT-D), 2010
  • M.Sc. (Exchange student); Swiss Federal Technology Institute of Lausanne (EPFL), Lausanne, Switzerland, 2010
  • B.Engg. Anna University, Chennai, 2008
Research Interests:
  • Heterogeneous Multi-Robot Systems
  • Wireless Ad Hoc Robotic Networks
  • Search and Rescue Robotics
  • Human-Robot Interfaces for Intelligent Teleoperation
  • Robotics in Precision Agriculture
  • Swarm Robotics

Lakshmish Ramaswamy

Associate Director, School of Computing
Professor, School of Computing

Dr. Lakshmish Ramaswamy is a Professor in the Dept. of Computer Science at the University of Georgia. He also serves as the Associate Director of the Georgia Informatics Institutes for Research and Education (GII). Dr. Ramaswamy directs the Data-Intensive Pervasive Systems Lab. Dr. Ramaswamy's research interests include Data-Intensive Systems, Pervasive Systems, Cloud Computing, Health Informatics, Online Social Media, and Information Security, Privacy and Trust. He received the best paper award at the CoopIS-2010 conference for his research on cooperative mashup execution. He also received the best paper award at the WWW-2004 conference and the Pat Goldberg best paper award for the work on dynamic web content caching and delivery. Dr. Ramaswamy obtained PhD from the College of Computing at the Georgia Institute of Technology. He also has an MS degree in Computer Science from the Indian Institute of Science, Bangalore, India.

Education:
  • PhD College of Computing, Georgia Institute of technology
  • MSc Computer Science from the Indian Institute of Science, Bangalore, India.
Research Interests:
  • Data-intensive and distributed computing
  • Cloud and pervasive computing
  • Web and social media systems
  • Health informatics
  • Information security and privacy
Of note:

Current Projects