Dr. Foaad Khosmood, Research Director of IATPP
Dr. Foaad Khosmood is the research director with the Institute for Advanced Technology & Public Policy's Open Government Initiative. He is the Forbes Professor of Computer Engineering and Assistant Professor of Computer Science, California Polytechnic State University at San Luis Obispo. Dr. Khosmood has industry experience as a senior software engineer for Intel and graduate internships at IBM and Symantec. He is the lead author for an intelligent security device patent titled "offline packet analysis". Dr. Khosmood's research involves computational stylistics, natural language processing and artificial intelligence. He received his Ph.D. in computer science from the University of California, Santa Cruz.
Recent publications of dr. khosmood
Mitchell Miller, Sean Mendonca, Nathan Philliber, and Foaad Khosmood. 2019. Panoptyk: information driven MMO engine. In Proceedings of the 14th International Conference on the Foundations of Digital Games (FDG '19). ACM, New York, NY, USA, Article 59, 4 pages.
Falessi, D., Hernandez, F., and Khosmood, F., “Issue Tracking Systems: What Developers Want and Use”, Proceedings of the 13th International Conference on Software Technologies, ICSOFT, Porto, Portugal, July 2018.
Budhwar, A., Kuboi, T., Dekhtyar, A., and Khosmood, F., “Predicting the Vote Using Legislative Speech”, Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, Netherlands, May 2018.
Kauffman, D., Williams, M., Washington, C., Socher, G. and Khosmood, F., “Multimodal speaker identification in legislative discourse”, Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, Netherlands, May 2018.
Ruprechter, T., Khosmood, F., Kuboi, T., Dekhtyar, A. and Gütl, C., “Gaining efficiency in human assisted transcription and speech annotation in legislative proceedings”, Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, Netherlands, May 2018.
Kauffman, D., Khosmood, F., Kuboi, T. and Dekhtyar, A., “Learning alignments from legislative discourse”, Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, Delft, Netherlands, May 2018.
Dr. Bruce DeBruhl is a Faculty Scholar with the Institute for Advanced Technology & Public Policy and Assistant Professor at Cal Poly San Luis Obispo in the Computer Science and Software Engineering Department. He is also affiliated with the Computer Engineering Program. Bruce's educational goal is to develop opportunities for diverse students to get hands-on experience with security and privacy. Bruce's research interests include wireless security, cyber-physical security, location privacy, and automotive security. Bruce received his PhD and MS degrees in Electrical and Computer Engineering at Carnegie Mellon University Silicon Valley, under the guidance of Patrick Tague, and his BS degree in Electrical Engineering from Kettering University.
Dr. Franz Kurfess is a Faculty Scholar with the Institute for Advanced Technology & Public Policy's Open Government Initiative Initiative and a Professor in the Department of Computer Science, California Polytechnic State University at San Luis Obispo. He is an expert in and instructor of Artificial Intelligence, Knowledge-Based Systems, Human-Computer Interaction, and User-Centered Design. Before joining Cal Poly, he was with Concordia University in Montreal, Canada, the New Jersey Institute of Technology, the University of Ulm, Germany, the International Computer Science Institute in Berkeley, CA, and the Technical University in Munich, where he obtained his M.S. and Ph.D. in Computer Science. His research involves Artificial Intelligence and User-Centered Design, with particular interest in the usability and interaction aspects of knowledge intensive systems.
Dr. Alex Dekhtyar is a Faculty Scholar with the Institute for Advanced Technology & Public Policy's Open Government Initiative and a Professor at the Department of Computer Science, California Polytechnic State University at San Luis Obispo. Dr. Dekhtyar is an expert in and instructor of databases, data-mining and bioinformatics. His research involves uncertain reasoning and management of uncertain data, semi-structured data management, software traceability, data mining and machine learning and bioinformatics. Dr. Dekhtyar has worked on numerous cross-disciplinary projects that involved anthropologists, political scientists and architects, and Old English scholars. In 2013, his paper on automating software traceability published in the Proceedings of the International Conference on Requirements Engineering in 2003 won the "Most Influential Paper" award. Dr. Dekhtyar received his Ph.D. in Computer Science at the University of Maryland at College Park.
Dr. Michael Latner is a Faculty Scholar with the Institute for Advanced Technology & Public Policy's Open Government Initiative and an Associate Professor in the Political Science Department at Cal Poly, where he teaches graduate courses in research design and quantitative methods in the Masters in Public Policy Program, undergraduate courses in political participation, campaigns and elections, and California and U.S. government, and coordinates research through the Center for Public Policy at Cal Poly. Dr. Latner earned his Ph.D. in political science in 2008 from the University of California at Irvine. Dr. Latner's research interests focus on political participation, representation, and civic technology. He has published several articles on the impact of electoral systems on voting behavior and political competition, and is an expert on political participation, Dr. Latner is well-suited to evaluate programs designed to expand public access to and engagement with government.
Dr. Dale Dolan is a Faculty Scholar with the Institute for Advanced Technology and Public Policy’s Energy Independence Initiative and the Hood Assistant Professor of Electrical Engineering at Cal Poly. Dr. Dolan has experience in renewable energy projects, power electronics, power systems, education and advanced motor drives. He has published research on the construction of a wind turbine emulator using advanced motor drives and on the modeling and construction of a novel virtual air gap variable reactor. His research expertise involves sustainable/renewable energy generation, wind power generation, power systems, electromagnetics, power electronic applications for distributed generation, grid connection impacts of renewable generation, energy policy promoting widespread implementation of sustainable power generation, sustainable energy project economics and sustainability of technologies. He is committed to making renewable energy a strong component of the world’s supply mix to reduce greenhouse gas emissions worldwide.
Dr. Shirley Magnusson is a Faculty Scholar with the Institute for Advanced Technology and Public Policy’s 21st Century Education Initiative and a Professor in Cal Poly’s School of Education, specializing in science education, particularly at the elementary school level. Her research has focused on understanding student and teacher knowledge and the development of scientific knowledge and reasoning, particularly in contexts of inquiry based instruction, and her work has included the development of novel texts, in paper and electronic form, to support such knowledge development.
Dr. Dean Wendt is a Faculty Scholar with the Institute for Advanced Technology and Public Policy’s California Energy Independence Initiative and Director of the Center for Coastal Marine Sciences and Dean of Research. He has research expertise in marine ecology and conservation and strives to use data to inform the actions of ocean policy and management communities. His research expertise include marine ecology and conservation with an explicit focus on generating long term data sets for management of marine resources. Dr. Wendt is also actively involved with west coast regional ocean observing networks and the CSU Council on Ocean Affairs Science and Technology (COAST) where he strives to connect his scientific expertise with policy and decision makers.
Dr. Davide Falessi is a Faculty Scholar with the Institute for Advanced Technology & Public Policy's Open Government Initiative and Associate Professor of Computer Science. Dr. Falessi has experience in collaborating with several software companies including Cisco, Keymind, DNV (Norway), and Finmeccanica (Italy). Dr. Falessi is the author of several research papers published in all the most important international peer reviewed venues in software engineering including IEEE Software, IEEE Transactions on Software engineering and the ACM Transactions on Software Engineering and Methodologies and a Program Committee member of around eight international conferences per year and he is the current Multimedia editor of IEEE Software. Dr. Falessi’s main research interest is in devising and empirically assessing solutions to concrete software engineering problems. He received his Ph.D. in computer engineering from the University of Rome Tor Vergata, Italy.
Dr. Immanuel Williams is a Faculty Scholar with the Institute for Advanced Technology & Public Policy and a full-time lecturer at Cal Poly San Luis Obispo in the Statistics Department. He is the founder of the GATO365 Learning Center, an innovative platform that creates learning experiences to enhance mathematics education for students in grades K-5. Dr. Williams creates interactive web applications for students in introductory statistics courses, to help them better understand difficult statistical concepts. His research agenda involves measuring the impact of utilizing culturally relevant content through web applications, as well as measuring growth in students’ ability in mathematics.
Anastasia Klimashevskaia is a master student at Graz University of Technology (TU Graz), Austria and a guest researcher at California Polytechnic State University at San Luis Obispo. Before starting her master program in Austria, Anastasia got a bachelor degree with honors in Moscow, at Russian State University for the Humanities. The program allowed her to get vast knowledge in both linguistics and programming, which lead to her great interest in Natural Language Processing (NLP) in general. Further Anastasia has been working for more than a year at Signal Processing and Speech Communication laboratory at TU Graz on other NLP projects with collaboration with other local companies and universities in Graz. She joined the Digital Democracy project looking forward to conduct necessary research for her master thesis investing her NLP knowledge and get more experience working with all the experts on the team.
Richa Gadgil is an undergraduate student at Cal Poly San Luis Obispo majoring in computer science with minors in data science and Chinese. Previously, she has worked on machine learning and software engineering at Apple and Project Jupyter. On campus, Richa co-founded the CS+AI organization, a club geared towards giving undergraduates opportunities to work on machine learning and artificial intelligence projects. Richa has also received recognition for her interest in foreign and critical languages, including a National Security Language Initiative Scholarship by the U.S. State Department to study Chinese abroad. Her research interests include natural language processing, machine learning for health-based applications, and app localization.`
Thomas Gerrity, is a graduate student of computer science at Cal Poly San Luis Obispo within the blended masters program. His current research is machine learning for event newsworthiness classification for the AI For Reporters initiative. Previously, he worked as the database administrator for the Digital Democracy Project responsible for ETL. At Cal Poly, he has served as a TA for introductory and advanced machine learning/database courses. His research interests include automated machine learning, information security, network security, and natural language processing. His past research projects include solar energy output prediction using machine learning, automated machine learning with respect to hyper parameter optimization, and vulnerability analysis of Apple’s Airdrop communication protocols.