Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. Distinguished Professor in the Erik Jonsson School of Engineering and Computer Science at The University of Texas, Dallas (UTD) and the executive director of UTD’s Cyber Security Research and Education Institute. Her current research is on integrating cyber security, cloud computing, and data science. Prior to joining UTD, she worked at the MITRE Corporation for 16 years including a 3-year stint as a program director at the NSF. She initiated the Data and Applications Security program at NSF and was part of the Cyber Trust theme. Prior to MITRE, she worked for the commercial industry for 6 years including at Honeywell. She is the recipient of numerous awards including the IEEE Computer Society 1997 Technical Achievement Award, the ACM SIGSAC 2010 Outstanding Contributions Award, 2012 SDPS Transformative Achievement Gold Medal, 2013 IBM Faculty Award, 2017 ACM CODASPY Research Award, and 2017 IEEE Computer Society Services Computing Technical Committee Research Innovation Award. She is a 2003 Fellow of the IEEE and the AAAS and a 2005 Fellow of the British Computer Society. She has published over 120 journal articles, 250 conference papers, 15 books, has delivered over 130 keynote addresses, and is the inventor of five patents. She has chaired conferences and workshops for women in her field including Women in Cyber Security, Women in Data Science, and Women in Services Computing/Cloud and has delivered featured addresses at SWE, WITI, and CRA-W.
Dr. Mohammad Mehedy Masud is currently an associate professor at the College of Information Technology (CIT) at United Arab Emirates University (UAEU). Prior to joining UAEU in January 2012, Dr. Masud worked at The University of Texas at Dallas as a research associate for 2 years. He earned his PhD in computer science from The University of Texas at Dallas, USA, in December 2009. Dr. Masud’s research interests include big data mining, data stream mining, machine learning, healthcare data analytics, and e-health. His research also contributes to cyber security (network security, intrusion detection, and malware detection) using machine learning and data mining. He has published more than 50 research articles in high impact factor journals including IEEE Transactions on Knowledge and Data Engineering (TKDE), Journal of Knowledge and Information Systems (KAIS), and top tier conferences including IEEE International Conference on Data Mining (ICDM). He is the lead author of the book Data Mining Tools for Malware Detection and is also the principal inventor of a U.S. patent. He is the principal investigator of several prestigious research grants funded by government and private funding organizations.
Dr. Pallabi Parveen is a principal big data engineer at AT&T since 2017 where she is conducting research, design, and development activities on big data analytics for various applications. Prior to her work at AT&T, she was a senior software engineer at VCE/EMC2 for 4 years where she was involved in the research and prototyping efforts on big data systems. She completed her PhD at UT Dallas in 2013 on Big Data Analytics with Applications for Insider Threat Detection. She has also conducted research on facial recognition systems. Prior to her PhD, she worked for Texas Instruments in embedded software systems. She has published her research in top tier journals and conferences. She is an expert on big data management and analytics technologies and has published her research in top tier journals and conferences.
Dr. Latifur Khan is a professor of computer science and director of data analytics at The University of Texas at Dallas (UTD) where he has been teaching and conducting research in data management and data analytics since September 2000. He earned his PhD in computer science from the University of Southern California in August of 2000. Dr. Khan is an ACM Distinguished Scientist and has received prestigious awards including the IEEE Technical Achievement Award for Intelligence and Security Informatics. Dr. Khan has published over 250 papers in prestigious journals, and in peer-reviewed top tier conference proceedings. He is also the author of four books and has delivered keynote addresses at various conferences and workshops. He is the inventor of a number of patents and is involved in technology transfer activities. His research focuses on big data management and analytics, machine learning for cyber security, complex data management including geospatial data and multimedia data management. He has served as the program chair for multiple conferences.