Mobility, Security of Cyber-Physical Systems, Trustworthy Computing Platforms and Devices
Cross Cutting Thrusts
Dr. Ole J. Mengshoel is an Associate Research Professor of Electrical and Computer Engineering at CMU Silicon Valley at the NASA Ames Research Center. His current research focuses on reasoning, diagnosis, decision support, reasoning, and machine learning under uncertainty - often using Bayesian networks – with aerospace applications of interest to NASA.
Additional research interests include resource allocation and scheduling in real-time systems, intelligent user interfaces, information assurance, evolutionary algorithms, knowledge acquisition, and knowledge engineering. Dr. Mengshoel has managed and provided hands-on leadership in a wide range of research and development projects. Working with companies such as Boeing, Rockwell Automation, and Rockwell Collins, he has successfully developed new technologies and software that have or are being matured and transitioned into the aerospace, defense, finance, education, electronic commerce, and manufacturing sectors. Dr. Mengshoel has published over 35 articles and papers in journals and conferences, and holds 4 U.S. patents. He has a Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign. His undergraduate degree is in Computer Science from the Norwegian Institute of Technology, Norway (now NTNU). Prior to his work with NASA, he was a research scientist in the Knowledge-Based Systems at SINTEF (Scandinavia's largest independent research organization) and in Decision Sciences Group at Rockwell Scientific (now Teledyne Scientific and Imaging).
Research Area: Trustworthy Computing Platforms and Devices | Security of Cyber-Physical Systems | Mobility
Cross Cutting Thrusts: Software Security
Researcher: Ole Mengshoel
"Adaptive Activity Recognition with Dynamic Heterogeneous Sensor Fusion". M. Zeng, X. Wang, L. T. Nguyen, P. Wu, O. J. Mengshoel, and J. Zhang, MobiCASE: International Conference on Mobile Computing, Applications, and Services, pp. 189-196, 2014.
"Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors". M. Zeng, L. T. Nguyen, B. Yu, O. J. Mengshoel, and J. Zhang, MobiCASE: International Conference on Mobile Computing, Applications, and Services, pp. 197-205, 2014.
"Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data". S. Kruzick, O. J. Mengshoel, and P. G. Menon, Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, vol. 8641, pp. 248-254, 2014.
"Bayesian Network Parameter Learning using EM with Parameter Sharing". E. Reed and O. J. Mengshoel, BMAW 2014 Bayesian Modeling Applications Workshop, pp. 48-59, 2014.
"Darwin: a ground truth agnostic CAPTCHA generator using evolutionary algorithm". E. Y. Chen, L.-S. Huang, O. J. Mengshoel, and J. D. Lohn, Genetic and Evolutionary Computation Conference (GECCO), pp. 165-166, 2014.
"Feedback control for multi-modal optimization using genetic algorithms". J. Shi, O. J. Mengshoel, and D. K. Pal, Genetic and Evolutionary Computation Conference (GECCO), no. 2014, pp. 839-846, 2014.
"Computing Probabilistic Optical Flow Using Markov Random Fields". D. Piao, P. G. Menon, and O. J. Mengshoel, Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, vol. 8641, pp. 241-247, 2014.
"Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits". B. Ricks and O. J. Mengshoel, International Journal of Approximate Reasoning, vol. 55, no. 5, pp. 1207–1234, 2014.
"Adaptive generalized crowding for genetic algorithms". O. J. Mengshoel, S. F. Galán, and A. de Dios, Information Sciences, vol. 258, pp. 140–159, 2014.
"CROSSMobile: A Cross-Layer Architecture for Next-Generation Wireless Systems". R. A. Iannucci, P. D. Tague, O. J. Mengshoel, and J. D. Lohn, vol. 14, no. 1, 2014.