Dr. Fredric M. Ham
Dr. Fredric M. Ham, IEEE Life Fellow, SPIE Fellow, and INNS Fellow is the Director of Science and Technology at Tricorp Business Solutions, and Professor Emeritus of Electrical Engineering at Florida Institute of Technology in Melbourne. He received his BS, MS, and PhD degrees in Electrical Engineering from Iowa State University in 1976, 1979, and 1980, respectively. He has over 35 years of professional engineering experience. From 1977 to 1978 he worked for Shell Oil Company as a Geophysicist. From 1980 to 1988 he was a Staff Engineer at Harris Corporation in Melbourne, Florida, where he worked in the Systems Analysis Group (one of many tasks he performed all of the error analysis for the fine guidance control of the mirrors on the Hubble Space Telescope for the spiral scan and orthogonal search modes). He also worked in the Large Space Structures Controls Group (there he developed robust control algorithms for flexible space structures). He was at Florida Institute of Technology from 1988 to 2014 where he was the Harris Professor, Dean of the College of Engineering and Vice President for Research. While at Florida Tech, in his Information Processing Lab (IPL), he developed methods for non-invasive glucose monitoring for diabetics (one licensed patent), robust neural-based classification methods for tactical and strategic infrasound applications and speaker recognition, and developed the P3CBT software package (a versatile event classification package that is available for licensing), and proactive predictive network security methods for Manets, to name a few. He has published over 100 technical papers, holds 3 U.S. patents and is author of the textbook: Principles of Neurocomputing for Science and Engineering, McGraw-Hill, 2001. Dr. Ham's current research interests include: neural networks, deep learning, artificial intelligence, adaptive signal processing, biosensor development, speech recognition, pattern recognition, wireless network security, tactical infrasound, and development of neural-based classification methods using infrasound for monitoring nuclear explosions to support the Comprehensive Nuclear Test Ban Treaty. Dr. Ham is the Past President of the International Neural Network Society (INNS) (2007-2008), served on the INNS Board of Governors (2009-2011), and is a member of Tau Beta Pi, Phi Kappa Phi, Eta Kappa Nu and Sigma Xi.
Prof. Pierre Larochelle
Pierre Larochelle (Ph.D., Mechanical Engineering, University of California at Irvine) is an Associate Dean and a Professor of Mechanical Engineering at the Florida Institute of Technology. His research focuses on the design of complex robotic mechanical systems and enabling creativity and innovation in design. He is the founding director of the Robotics and Spatial Systems Laboratory (RASSL), has over 100 publications, holds two US patents, and serves as a consultant on robotics, automation, machine design, creativity & innovation, and computer-aided design. He serves on the Executive Committee of ASME’s Design Engineering Division and will serve as Chair of the Division in 2018-2019. He serves on ABET’s Engineering Accreditation Commission (EAC) and as an ABET Accreditation Visit Team Chair. Moreover, he currently serves as the Chair of the U.S. Committee on the Theory of Mechanisms & Machine Science and represents the U.S. in the International Federation for the Promotion of Mechanism & Machine Science (IFToMM) (2016 - 2020). He has served as Chair of the ASME Mechanisms & Robotics Committee (2010-2014) and as an Associate Editor for the ASME Journal of Mechanisms & Robotics, the ASME Journal of Mechanical Design, and for Mechanics Based Design of Structures & Machines. He is a Fellow of the American Society of Mechanical Engineers (ASME), a Senior Member of IEEE, and a member of Tau Beta Pi, Pi Tau Sigma, ASEE, and the Order of the Engineer.
Prof. Monica Lam
Prof. Monica Lam is a Professor in the Computer Science Department at Stanford University since 1988. She received a B.Sc. from University of British Columbia in 1980 and a Ph.D. in Computer Science from Carnegie Mellon University in 1987. She is the Faculty Director of the Stanford MobiSocial Computing Laboratory and a co-PI in the POMI (Programmable Open Mobile Internet) 2020 project, which is an NSF Expedition started in 2008. Her current research interests are in building an open and federated social computing infrastructure. She has worked in the areas of compiler optimization and software analysis to improve security. She is a co-author of the book Compilers, Principles, Techniques, and Tools (2nd Edition), also known as the Dragon book. She and her students started Mobisocial Inc. in 2012 whose goal is to create an open social internet, where users can share anything while owning their data. Monica is an ACM Fellow. She received an NSF Young Investigator award in 1992, the ACM Most Influential Programming Language Design and Implementation Paper Award in 2001, an ACM SIGSOFT Distinguished Paper Award in 2002, and the ACM Programming Language Design and Implementation Best Paper Award in 2004. She was the author of two of the papers in "20 Years of PLDI--a Selection (1979-1999)", and one paper in the "25 Years of the International Symposia on Computer Architecture". She chaired the ACM SIGPLAN Programming Languages Design and Implementation Conference in 2000, served on the Editorial Board of ACM Transactions on Computer Systems and numerous program committees for conferences on languages and compilers (PLDI, POPL), operating systems (SOSP), and computer architecture (ASPLOS, ISCA). In the area of mobile and social computing, her group developed Musubi, a message-based mobile social network that delivers both an attractive user experience as well as distributed data ownership. The paper on Musubi is a finalist of Best Student Paper in the WWW 2012 conference. Her contributions in compiler optimizations include software pipelining, data locality, parallelization. The SUIF compiler infrastructure developed by her research group has been widely used by compiler researchers all around the world. Her contributions in program analysis for security include tools for automatically detecting cross-site scripting and SQL injection bugs in Java/JSP web applications, which was based on a novel context-sensitive pointer alias analysis. Other contributions include the bddbddb (BDD-based Deductive DataBase) analysis system, the PQL program query language, the Diduce dynamic root-cause analyzer, the Clouseau C++ memory leak detector, and the Cred buffer overrun detector.