Leonardo Bobadilla

Assistant Professor

Dr. Bobadilla completed his PhD in the Department of Computer Science at the University of Illinois at Urbana-Champaign under the supervision of Steve LaValle.

Bogdan Carbunar

Assistant Professor

2005 Ph.D., Computer Science, Purdue University

Bogdan Carbunar works at the intersection of security, privacy, and distributed systems, with a focus on mobile and social networks. His work was awarded the Nicolas D. Georganas Best Paper Award in 2014 for his article in ACM Transactions on Multimedia Computing Communications and Applications (TOMM), the best student paper award in the SIAM International Conference on Data Mining (SDM) 2014, and the best paper award in the IEEE International Workshop on Hot Topics in Peer-to-peer Computing and Online Social Networking (HotPOST) 2013. He has received his Ph.D. in computer science from Purdue University in 2005 and has held various research positions in Motorola Labs. He has joined FIU in 2011.

Ruogu Fang

Assistant Professor

2014 Ph.D., Electrical and Computer Engineering, Cornell University
2009 B.E., Information Engineering, Zhejiang University

Dr. Ruogu Fang is an Assistant Professor of the School of Computing and Information Sciences at Florida International University in Miami, FL.

Dr. Fang received her Ph.D. degree in Electrical and Computer Engineering from Cornell University in 2014 working under Tsuhan Chen, and Bachelor’s degree from Zhejiang University with the highest honor in 2009. Dr. Fang’s research interests focus on big medical data, brain dynamics, health informatics, machine learning and data mining. She is the recipient of numerous grants, honors and awards, including NSF CRII (pre-CAREER) award as PI, ORAU’s Ralph Lowe Young Faculty Enhancement Award, Robin Sidhu Memorial Young Scientist Award from Society of Brain Mapping and Therapeutics, Best Paper Award at IEEE International Conference on Image Processing, Hottest Paper in Medical Image Analysis, Hsien Wu and Daisy Yen Wu Memorial Award and Irwin and Joan Jacobs Fellowship, to name a few. She has published over 30 peer-reviewed articles, including flagship journals such as IEEE Transaction on Medical Imaging, Medical Image Analysis, ACM Computing Survey, etc. She served as the Co-Chair of the International Workshop on Sparsity Techniques in Medical Imaging, and the Guest Editor of the Journal Computerized Medical Imaging and Graphics. Prof. Fang’s Smart Medical Informatics Learning and Evaluation (SMILE) Lab aims to explore intelligent approaches to bridge the data and medical informatics in the era of big medical data.

Mark Finlayson

Assistant Professor

2012, Ph.D., Computer Science, Massachusetts Institute of Technology
2001, M.S., Electrical Engineering, Massachusetts Institute of Technology
1998, B.S., Electrical Engineering, University of Michigan

Dr. Finlayson received his Ph.D. in Computer Science in 2012 from MIT, his M.S. in Electrical Engineering in 2001 also from MIT, and his B.S. in Electrical Engineering in 1998 from the University of Michigan, Ann Arbor. From 2012-2014 was a Research Scientist in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on representing, extracting, and using higher-order semantic patterns in natural language, especially focusing on narrative. His work intersects artificial intelligence, computational linguistics, and cognitive science. He is general chair of the Computational Models of Narrative Workshop Series.

Sam Ganzfried

Assistant Professor

2015 Ph.D., Computer Science, Carnegie Mellon University
2005 A.B., Mathematics, Harvard University

Sam Ganzfried received a PhD in computer science from Carnegie Mellon University in 2015 for his dissertation “Computing Strong Game-Theoretic Strategies and Exploiting Suboptimal Opponents in Large Games'” and holds an A.B. in math from Harvard University. His research interests include artificial intelligence, game theory, multiagent systems, multiagent learning, large-scale optimization, large-scale data analysis and analytics, and knowledge representation. He created two-player no-limit Texas hold ‘em agent Claudico that competed in the inaugural 2015 Brains vs. Artificial Intelligence competition against the strongest human specialists in the world (it lost by an amount that was not statistically significant at the 95% confidence level). He also created two-player no-limit Texas hold ‘em agent Tartanian7 that won the 2014 Annual Computer Poker Competition, beating each opposing agent with statistical significance. He organized the AAAI Workshop on Computer Poker and Imperfect Information in 2014 and 2015, and the first tutorial on Computer Poker at the 2016 Conference on Economics and Computation.

Liting Hu

Assistant Professor

2016 PH.D., Computer Science, Georgia Institute of Technology
2007 B.S., Computer Science, Huazhong University of Science & Technology

Liting Hu got her PhD degree in Computer Science at Georgia Institute of Technology. Before that, she completed her undergraduate degree in Computer Science at Huazhong University of Science and Technology in China. Her research is in the general area of distributed systems and its intersection with big data analytics, resource management, power management and system virtualization. She spent summers interning at IBM T.J. Watson Research Center, Intel Science and Technology Center for Cloud Computing, Microsoft Research Asia, VMware, and has been working closely with them. Her work was published at top conferences like USENIX ATC 2014, SOCC 2013, ICDCS 2012, ICAC 2012 and Cluster 2008.

Monique Ross

Assistant Professor

2016 Ph.D., Engineering Education, Purdue University
2011 Master’s, Software Engineering and Computer Science
2001 Bachelor’s, Computer Engineering

Monique Ross joins the team with a diverse and integrated background. She holds a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University, eleven years of experience in industry as a software engineer, and three years as a full-time faculty in the departments of computer science and engineering. Her interests focus on broadening participation in engineering through the exploration of: 1) race, gender, and identity in the engineering workplace; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields.

Ning Xie

Assistant Professor

2012 Postdoctoral Fellow, Computer Science, Massachusetts Institute of Technology
2012 PH.D., Computer Science, Massachusetts Institute of Technology
2002 M.S., Computer Science, SUNY at Buffalo
1993 M.S., Theoretical Physics, Fudan University, China
1993 B.E., Shipbuilding Engineering, Harbin Engineering University, China

Ning Xie received his Ph.D. in Computer Science in 2012 from MIT. His research interests are in many aspects of algorithmic and complexity theory, including property testing, local computation algorithms, Fourier analysis of Boolean functions, circuit complexity and coding theory. His research has been supported by NSF and U.S. Air Force Research Lab Summer Faculty Fellowship Program.

Wei Zeng

Assistant Professor

2008 PH.D., Computer Science and Technology, Chinese Academy of Sciences

Dr. Wei Zeng is an assistant professor of the School of Computing and Information Sciences at Florida International University. Dr. Zeng received her Ph.D. from Chinese Academy of Sciences in 2008 and had her postdoctoral training at Stony Brook University in 2010-2012. She also worked at Microsoft Research Asia and Stony Brook University during her graduate study. Her Ph.D. thesis was titled “Computational Conformal Geometry Based Shape Analysis”. She has published numerous papers in peer-reviewed journals (e.g., IEEE TPAMI, IEEE TVCG, IJCV) and conferences (e.g., ICCV, ECCV, CVPR, VIS, SPM, IPMI, MICCAI, INFOCOM, IPSN) and a book by Springer, won a Best paper award in CAD/CAM (IJCC 2009), and has two U.S. patents on virtual colonoscopy techniques.