MSITM Faculty

Dr. Ashish Agarwal is an Associate Professor in the Department of Information, Risk, and Operations Management at the University of Texas. Dr. Agarwal received his Ph.D. from Carnegie Mellon University, his MS from Massachusetts Institute of Technology, and his BTech from Indian Institute of Technology.

Anitesh Barua received his B.E. from Jadavpur University (India) and his M.S. and Ph.D. from Carnegie Mellon University. His research and teaching interests include measuring business value of information technology, analyzing strategic information technology investments, enterprise modeling using information economics, and economics of software development and maintenance.

Constantine Caramanis is an Associate Professor in the Electrical and Computer Engineering (ECE) department, at The University of Texas at Austin. He received his Ph.D. in Electrical Engineering and Computer Science (EECS) from MIT and his undergraduate in Mathematics from Harvard University. His research interests include machine learning, computation and large scale decision making and optimization under uncertainty.

Caryn Conley is a Lecturer at the McCombs School of Business at the University of Texas at Austin teaching courses in programming and systems development in the Information, Risk, and Operations Management department. She is also the Program Director for the MS program in Information Technology and Management and the Faculty Advisor for MISA, the student association for MIS undergraduate students. Prior to joining McCombs, Caryn was the Program Director for undergraduate and graduate programs at the College of Business at Florida Atlantic University in the Information Technology and Operations Management department. Before pursing a career in academia, Caryn was an IT Consultant at PricewaterhouseCoopers. Caryn received her PhD (2008) and MPhil (2004) in Business Administration from the New York University Stern School of Business, Department of Information, Operations, and Management Systems. She also received her BBA from The University of Texas at Austin in Management Information Systems and Business Honors in 1999. Her research interests include online communities, open source software development, software design, motivation, user innovation and crowdsourcing.

Alex Dimakis is an Associate Professor at the Electrical and Computer Engineering (ECE) department, University of Texas at Austin. From 2009 until 2012 he was with the Viterbi School of Engineering, University of Southern California. He received his Ph.D. in 2008 and M.S. degree in 2005 in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley and the Diploma degree from the National Technical University of Athens in 2003. During 2009 he was a CMI postdoctoral scholar at Caltech.

He received an ARO young investigator award in 2014, the NSF Career award in 2011, a Google faculty research award in 2012, served as an IEEE Distinguished lecturer for 2016-2017 and received the Eli Jury dissertation award in 2008. He is the co-recipient of several best paper awards including the joint Information Theory and Communications Society Best Paper Award in 2012. He served two terms as an associate editor for IEEE Signal Processing letters and is currently serving as an associate editor for IEEE Transactions on Information Theory. His research interests include information theory, coding theory and machine learning.

Joydeep Ghosh is currently the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at The University of Texas at Austin.

He joined the UT-Austin faculty in 1988 after being educated at, (B. Tech '83) and The University of Southern California (Ph.D’88). He is the founder-director of IDEAL (Intelligent Data Exploration and Analysis Lab) and a Fellow of the IEEE. Dr. Ghosh has taught graduate courses on data mining and web analytics every year to both UT students and to industry, for over a decade. He was voted as "Best Professor" in the Software Engineering Executive Education Program at UT.

Dr. Ghosh's research interests lie primarily in data mining and web mining, predictive modeling / predictive analytics, machine learning approaches such as adaptive multi-learner systems, and their applications to a wide variety of complex real-world problems. He has published more than 400 refereed papers and 50 book chapters, and co-edited over 20 books. His research has been supported by the NSF, Yahoo!, Google, ONR, ARO, AFOSR, Intel, IBM, and several others. He has received 14 Best Paper Awards over the years, including the 2005 Best Research Paper Award across UT and the 1992 Darlington Award given by the IEEE Circuits and Systems Society for the overall Best Paper in the areas of CAS/CAD. Dr. Ghosh has been a plenary/keynote speaker on several occasions such as ICDM'13,(Health Informatics workshops at) KDD14, ICML13 and ICHI13; MICAI'12, KDIR'10 and ISIT'08, and has widely lectured on intelligent analysis of large-scale data. He served as the Conference Co-Chair or Program Co-Chair for several top data mining oriented conferences, including SDM'13, SDM'12, KDD 2011, CIDM’07, ICPR'08 (Pattern Recognition Track) and SDM'06. He was the Conf. Co-Chair for Artificial Neural Networks in Engineering (ANNIE)'93 to '96 and '99 to '03 and the founding chair of the Data Mining Tech. Committee of the IEEE Computational Intelligence Society. He has also co-organized workshops on health informatics, high dimensional clustering, Web Analytics, Web Mining and Parallel/ Distributed Knowledge Discovery.

Dr. Ghosh has served as a co-founder, consultant or advisor to successful startups (Accordion Health, Stadia Marketing, Neonyoyo and Knowledge Discovery One) and as a consultant to large corporations such as IBM, Motorola and Vinson & Elkins.

Dr. Julien is a professor in the Center for Advanced Research in Software Engineering (ARiSE) in the Department of Electrical and Computer Engineering at the University of Texas at Austin, which she joined in 2004. She is the director of the Mobile and Pervasive Computing Group, where her research is at the intersection of software engineering and dynamic, unpredictable networked environments. Her specific focus is on the development of models, abstractions, tools, and middleware whose goals are to ease the software engineering burden associated with building applications for pervasive and mobile computing environments. These environments include cyber-physical systems and the Internet of Things. Dr. Julien's research has been supported by the National Science Foundation (NSF), the Air Force Office of Scientific Research (AFOSR), the Department of Defense, and Freescale Semiconductors. Dr. Julien graduated with her D.Sc. in 2004 from Washington University in Saint Louis. She earned her M.S. degree in 2003 and her B.S. with majors in Computer Science and Biology in 2000 (both also from Wash. U.).

Dr. Hüseyin Tanriverdi is an Assistant Professor in the Department of Information, Risk, and Operations Management at the University of Texas. 

Dr. Stephen Walls has been teaching and consulting in Design Thinking for the past 10 years.  Stephen holds an appointment as the Assistant Director for Instructional Innovation and Marketing and a Senior Lecturer in the Marketing Department in the McCombs School of Business, where, in addition to Design Thinking, he continues to teach courses on Marketing Principles, Brand Management, and Digital Marketing within undergraduate and masters programs.  He has received a number of teaching awards since joining the McCombs faculty in 2002.

Stephen has also recently served as Deputy Director of the TEXAS Extended Campus, which provides high quality education to non-degree seeking students, including the fully online UT High School, University Extension, Testing and Evaluation Services, Center for Professional Education, Petroleum Extension, Informal Classes, Osher Lifelong Learning Institute, AP Summer Institutes Road Scholar, and the Thompson Conference Center.  

Stephen has a distinguished career in business and academia with a unique combination of experiences across marketing, technology, and education.  He completed his Ph.D. in Educational Psychology and his MBA at the University of Texas and his BBA in Marketing at Texas A&M University.  His varied industry experience includes marketing, human resources, and technology management positions at Dell, Vignette, ibooks.com, American Airlines, and Walmart.

Dr. Ramesh Yerraballi is a Distinguished Senior Lecturer in the Departments of Electrical and Computer Engineering at The University of Texas at Austin. He received his Bachelors degree in Computer Science and Engineering from Osmania University, India and his PhD degree in Computer Science from Old Dominion University, Virginia. Dr. Yerraballi worked at Midwestern State University and The University of Texas at Arlington prior to joining UT Austin in 2008. Dr. Yerraballi's teaching experience spans a broad swath of the computing curriculum, but currently focuses his teaching efforts in Embedded Systems, Operating Systems, Computer Architecture, Programming, and Statistics. He has taught at both the undergraduate and graduate levels.