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Lakshmish Ramaswamy 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. Of note: Current Projects SCOUTS: Smart Sensor-based Analysis and Mitigation of Urban Heat Islands (Sponsored by NSF) CyanoTracker: Multi-Cloud Infrastrcture for Effective Monitoring of Inland Waters and Coastal Wetlands (Sponsored by NSF) Human Acitivity Recognition Using Wearable Sensors Indexing and querying of large time-evolving graphs Read more about Lakshmish Ramaswamy
Shannon Quinn Associate Professor, School of Computing Research Research Interests: Distributed computing, deep learning, computer vision and bioimaging, biosurveillance, and public health informatics. Of note: Congratulations to Dr. Shannon Quinn, who is among 23 early career scientists to win funding for research to accelerate the development of the next generation of imaging technologies as part of the inaugural year of Scialog: Advancing BioImaging, a three-year initiative supported by Research Corporation for Science Advancement, the Chan Zuckerberg Initiative and the Frederick Gardner Cottrell Foundation. Read more about Shannon Quinn Personal Website: Lab website
Roberto Perdisci Patty And D.R. Grimes Distinguished Professor Of Computer Science, School of Computing Director - Institute Of Cybersecurity And Privacy Education: PhD, University of Cagliari, Italy Research Research Interests: Artificial Intelligence Computer Networks Of note: Congratulations to Dr. Roberto Perdisci for receiving a 4-year NSF grant for the project titled: "Defending Against Social Engineering Attacks with In-Browser AI." This is a collaborative project between the University of Georgia (lead institution), Stony Brook, etc. Read more about Roberto Perdisci
Ping Ma Professor, Department of Statistics Education: PhD, Statistics, Purdue University, 2003 Research Research Interests: Research Areas: Big Data Analytics Research Interests: Bioinformatics Functional Data Analysis Geophysics Read more about Ping Ma
Tianming Liu Distinguished Research Professor, School of Computing Dr. Tianming Liu is a Distinguished Research Professor (since 2017) and a Full Professor of Computer Science (since 2015) at UGA. Dr. Liu is also an affiliated faculty (by courtesy) with UGA Bioimaging Research Center (BIRC), UGA Institute of Bioinformatics (IOB), UGA Neuroscience PhD Program, and UGA Institute of Artificial Intelligence (IAI). Before he moved to UGA in 2008, Dr. Liu was a faculty member of Weill Medical College of Cornell University (Assistant Professor, 2007-2008) and Harvard Medical School (Instructor, 2005-2007). Dr. Liu was a postdoc in neuroimaging at the University of Pennsylvania (2002-2004) and Harvard Medical School (2004-2005). Education: PhD in computer science from Shanghai Jiaotong University in 2002. Research Research Interests: Primary Research Interests: Brain Imaging, Computational Neuroscience, and Brain-inspired Artificial Intelligence Other Research Interests (with sporadic publications and for guiding student thesis/course projects): Biomedical Image Analysis, Biomedical Imaging, Neuroimaging, Imaging Informatics, Healthcare Informatics, Bioinformatics, Neuroscience, Brain Disorders, Neuroinformatics, Cancer, Cardiovascular Diseases, Public Health, Image Processing, Computer Vision, Multimedia, Natural Language Processing, Blockchain, Security and Privacy, Cognitive Computing, Cloud Computing, Internet of Things, Brain-Computer Interface, Multiscale Modeling, Human-Computer Interaction, Machine Learning, Deep Learning, Deep Reinforcement Learning, Data Science, Knowledge Graph, and Artificial Intelligence. Selected Publications Selected Publications: Qing Li, Wei Zhang, Lin Zhao, Xia Wu, and Tianming Liu, Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition, in press, IEEE Transactions on Biomedical Engineering, 2021. Mir Jalil Razavi, Tianming Liu, and Xianqiao Wang, Mechanism Exploration of 3-Hinge Gyral Formation and Pattern Recognition, in press, Cerebral Cortex Communications, 2021. Xi Jiang, Tuo Zhang, Shu Zhang, Keith M Kendrick, Tianming Liu, Fundamental Functional Differences between Gyri and Sulci: Implications for Brain Function, Cognition and Behavior, in press, Psychoradiology, 2021. Qing Li, Xia Wu, Tianming Liu, Differentiable Neural Architecture Search for Optimal Spatial/Temporal Brain Function Network Decomposition, in press, Medical Image Analysis, 2021. Xiao Li, Tao Liu, Yujie Li, Qing Li, Xianqiao Wang, Xintao Hu, Lei Guo, Tuo Zhang, Tianming Liu, Marmoset Brain ISH Data Revealed Molecular Difference Between Cortical Folding Patterns, in press, Cerebral Cortex, 2020. Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu, Functional Brain Networks underlying Auditory Saliency during Naturalistic Listening Experience, in press, IEEE Transactions on Cognitive and Developmental Systems, 2020. Tuo Zhang, Ying Huang, Lin Zhao, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Identifying Cross-individual Correspondences of 3-hinge Gyri, Medical Image Analysis, 2020. Of note: Dr. Liu is the recipient of the Microsoft Fellowship Award (2000-2002), the NIH Career Award (2007-2012) and the NSF CAREER Award (2012-2017). Dr. Liu is a Fellow of AIMBE (inducted in 2018) and was the General Chair of MICCAI 2019. Read more about Tianming Liu
Changying Li Professor, School of Electrical and Computer Engineering Dr. Li is developing innovative sensing and automation technologies to help provide safe and high-quality food, fiber, feed and fuel to sustain the world’s growing population. He currently leads a team of researchers that's developing a robotic system of all-terrain rovers and unmanned aerial drones that can more quickly and accurately gather and analyze genetic data on plants. Education: PhD, Agricultural and Biological Engineering, Pennsylvania State University, 2006 Research Research Interests: Sensing and automation for food, agricultural and biological systems Selected Publications Selected Publications: Google Scholar Page Read more about Changying Li Personal Website: Lab website
Jaewoo Lee Associate Professor, School of Computing I am an assistant professor in the computer science department at the University of Georgia. Before joining UGA, I was a postdoctoral research associate working in Prof. Daniel Kifer's machine learning lab at PennState University. I received my Ph.D. in computer science in 2014 from Purdue University, where I studied privacy-preserving data analysis techniques under the supervision of Prof. Chris Clifton. Before joining Purdue, I was a member of the database group at Yonsei university where I obtained my master's and bachelor's degrees in Computer Science. During my master's study, I did research on developing efficient stream mining algorithms for high-dimensional data streams under the supervision of Prof. Won Suk Lee. Education: PhD, Computer Science, Purdue University 2014 MSc, Computer Science, Yonesi University BSc, Computer Science, Yonesi University Research Research Interests: My research interests lie at the intersections of data mining, machine learning, data privacy, and security. My primary interest is on data privacy --- providing strong privacy guarantees while making accurate computations on sensitive datasets possible. I work on developing new methodologies for performing machine learning and data mining tasks on sensitive data. The research topics of my interests are listed below, but not limited to: Data privacy Machine learning Convex optimization Security analytics Selected Publications Selected Publications: Jaewoo Lee and Daniel KiferScaling up Differentially Private Deep Learning with Fast Per-Example Gradient ClippingPETS 2021 Chen Chen and Jaewoo LeeStochastic Adaptive Line Search for Differentially Private OptimizationIEEE BIG DATA 2020 (Regular paper) Jaewoo Lee and Daniel KiferDifferentially Private Deep Learning with Direct Feedback AlignmentIn preparation (Arxiv 2020) Daniele Ucci, Roberto Perdisci, Jaewoo Lee, Mustaque AhamadBuilding a Collaborative Phone Blacklisting System with Local Differential PrivacyACSAC 2020 Chen Chen, Jaewoo LeeRenyi Differentially Private ADMM for Non-smooth Regularized OptimizationIEEE CODASPY 2020 Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei WangA Self-Optimized Generic Workload Prediction Framework for Cloud ComputingIEEE IPDPS 2020 Lei Xian, 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 Of note: I am looking for hard-working and self-motivated graduate students. If you are interested in machine learning or data privacy research, please contact me with your CV. Read more about Jaewoo Lee
Bill Kretzschmar Harry and Jane Willson Professor in Humanities, Department of English Professor Kretzschmar (Ph.D., University of Chicago, 1980) began his career as a medievalist (dissertation on Middle Scots poetry, medieval literary theory), and has over time become more associated with English Language Studies. In addition to his full-time appointment at UGA, he has an academic appointment at the University of Oulu (Finland) and Uppsala University (Sweden). He is Editor Emeritus of the Linguistic Atlas Project, a national center for survey research on American English. He also has a long-term sociolinguistic field site in Roswell, GA, called Roswell Voices; that project was the first American member of the European Union's Living Laboratories network, which promotes public/private partnerships involving technology and innovation. He was President of the American Dialect Society from 2007-2009 and is a Fellow of the ADS. He edited the Journal of English Linguistics for fifteen years and now serves on a number of editorial boards. He was co-editor of the Oxford Dictionary of Pronunciation for Current English (2001), and has provided American pronunciations for the online Oxford English Dictionary and for various dictionaries in the Oxford US Dictionaries program; his new pronunciation dictionary, again with Clive Upton, is the Routledge Dictionary of Pronunciation for Current English (2017). He has published over one hundred articles on medieval literature, American English, language variation, and digital humanities. His Handbook of the Linguistic Atlas of the Middle and South Atlantic States was published by the University of Chicago Press in 1993, and his Introduction to Quantitative Analysis of Linguistic Survey Data by Sage in 1996. A collection of essays from his UGA seminar on literary stylistics was published as a special issue of Language and Literature (2001). His The Linguistics of Speech, which demonstrates the relationship between language behavior and complexity science, was published by Cambridge University Press (2009), and a second book on the subject, Language and Complex Systems, was published by Cambridge in 2015. Two textbooks appeared in 2018 from Cambridge: Exploring Linguistic Science and The Emergence and Development of English. He held an ACLS Digital Innovation fellowship in 2014, with which he developed a computer simulation to model language change. In Fall 2019 he was a Fulbright Distinguished Professor in Humanities and Social Sciences at Adam Mickiewicz University in Poland. He has been Faculty in Residence for the UGA at Oxford Program three times. He pursues research and teaching on American English, language variation, and computer methods for the description, analysis, and presentation of language data from literary and non-literary sources. He is a fellow in the Artificial Intelligence Program and directs the Complex Systems in the Humanities site at the UGA digital humanities laboratory, DigiLab. His teaching includes English Language Studies (ENGL/LING 4005/6005 History of the English Language, ENGL/LING 4010 American English), complex systems (ENGL/LING 4080/6080 Language Variation and the Linguistics of Speech), and digital humanities (ENGL 4826/6826 Style: Language, Genre, Cognition, ENGL/LING 4885/6885 Introduction to Humanities Computing). Education: Ph.D. in English, University of Chicago, 1980. Dissertation: The Literary-Historical Context of Henryson's Fabillis M.A. in Medieval Studies, Yale University, 1976. A.B. in Medieval Studies with High Honors, University of Michigan, 1975. Read more about Bill Kretzschmar