Pratik Jha is responsible for leading research and development for future air traffic management concepts and solutions. Prior to joining Lockheed Martin, Dr. Jha worked for The Boeing Company and L3-Titan Corporation where he supported the FAA in human factors analysis of air traffic control systems. He has comprehensive experience in leading projects related to research, operational concept development, human factors assessment, benefit assessment, and modeling and simulation in the air traffic management domain. Dr. Jha is a member of AIAA and HFES.
Dr. Ali Montazer, professor of industrial engineering, has been appointed associate dean of the Tagliatela College of Engineering at the University of New Haven (UNH). Montazer has been a faculty member at UNH for more than 20 years, and has served as chairman of both the Department of Industrial Engineering and the Department of Computer Science and Industrial Engineering. He was awarded the University's Distinguished Teaching Award in 1988 and has taught in the areas of production and operations research and management, statistical methods, ergonomics, and simulation modeling He has taught in the University's MBA, Executive MBA, and in the Master of Science in Engineering Management programs. More recently, Montazer co-founded the Center for Innovation Initiatives @UNH.

Dr. Romanowski is an assistant professor in the Center for Multidisciplinary Studies at Rochester Institute of Technology. She is a member of the data management group in the Computer Science Department in RIT's Golisano College of Computing and Information Science, has been instrumental in the effort to develop certificate and MS programs in data mining and in enterprise database management, and teaches graduate classes in data mining and data preparation/cleaning. She also teaches graduate courses in new product design and robust design for the Mechanical and Manufacturing Engineering and Packaging Science Department, and undergraduate courses in asset management, quality management, and data analysis for the Center for Multidisciplinary Studies.Her research interests are in the areas of data mining, agile manufacturing and variant design, production systems, preventive and condition-based maintenance, robust design, and applied operations research. She is a member of RIT's team researching automotive greenhouse gas policies and materials flows as part of an NSF MUSES grant. Dr. Romanowski's graduate students are pursuing projects such as the study of clustering quality, schema matching, automated classification of computer-simulated movies, ontology-based merging of databases, sentiment mining, and product design. She belongs to IIE, INFORMS, ACM SIGKDD, and IEEE, and is on the editorial board of the International Journal of Data Mining, Modeling, and Management.
The core of my research is in human performance enhancement in both physical and mental domains. I employ multiple approaches toward this goal, including cognitive and physiological engineering, classical and experimental ergonomics, augmented reality, and the incorporation and application of new technologies. My past research has involved the development of design methodologies for AR and multisensory devices, telerobotic control system development, the application of biomechanics for improved sports performance and the development of visualization tools for improving battle space awareness.
Dr. Yates has been on the faculty at Texas A&M University since August 2008. His research interests focus on multidisciplinary theory and applications in defense and homeland security and combine techniques from industrial engineering, mathematics, geography and computer science. Dr. Yates is a 2009 college of engineering recipient of the Big 12 Faculty Fellowship at Texas A&M which recognizes and supports efforts in multidisciplinary collaborations across the Big 12 universities. Internationally, Dr. Yates performed research as a visiting scholar at Fukuoka University, Japan from November 2007 to February 2008. Prior to his appointment at Texas A&M, Dr. Yates was a graduate student in the University at Buffalo ISE department and an NSF IGERT fellow specializing in Geographic Information Science.