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At Southern Methodist University, Dr. Greenberg is a professor in the Department of Computer Science and Engineering. He teaches visualization of information and creative coding, and serves as the director of the Center of Creative Computation. He’s perhaps best known for writing the first major reference on the processing program language titled Processing: Creative Coding and Computational Art (Berkeley, CA 2007). In addition to data visualization, he’s also an accomplished painter and animator and has been affiliated with with the Flywheel Gallery (Piermont, New York) and the Bowery Gallery (New York City).
Dr. Klump is a professor at Lewis University who focuses his research on scientific visualization, numerical methods, and programming languages, among other areas. He also serves as the chair of the Department of Computer Sciences and Mathematics at the university, where he began his career in 2001. He has published several influential papers on the field of computer applications for power systems. In addition, he works with PowerWorld, where he is the principal developer of their Retriever product.
Dr. Rege of the University of St. Thomas has taught a number of classes at the undergraduate and graduate level, and was nominated by students for the Rochester Institute of Technology’s (RIT) Eisenhart Award for Teaching Excellence. He has been published in a number of prestigious journals, including Transactions on Knowledge and Data Engineering, as well as Data Mining & Knowledge Discovery. He also serves on the editorial review board of the Journal of Computer Information Systems.
In addition to working as a professor of computer science at the Illinois Institute of Technology, Dr. Argamon serves as the director of the school’s master of data science program. He is the chief scientist at Taia Global, Inc. He also retains courtesy appointments as a senior fellow at the Center for Advanced Defense Studies in Washington, DC and is a fellow at the Brain Sciences Foundation of Providence, RI. He was the 2014 Distinguished Visitor in Forensic Linguistics at the Centre for Forensic Linguistics at Aston University in Birmingham, UK, and is currently a fellow of the British Computer Society.
Dr. Shen, a professor at the University of Minnesota’s Department of Statistics, has received numerous awards, including the 2012 John Black Johnston Distinguished Professorship; the 2012 Best Paper Award from the International Biometric Society; and a 2011 fellowship with the American Association for the Advancement of Science. He has taught courses on statistical learning and data mining. Additionally, he served as the chair-elect in 2011 for the American Statistical Association’s group on Statistical Learning and Data Mining, as well as the program co-chair in 2009 for the Institute of Mathematical Statistics.
Dr. Freund is a professor of computer science and engineering at UC San Diego, where he also serves as the faculty co-director for the data science and engineering program. He is an internationally known researcher in the field of machine learning, and he received the 2003 Gödel Prize in theoretical computer science, as well as the 2004 Kanellakis Prize. His work focuses on applications of machine learning algorithms in bioinformatics, computer vision, finance, network routing, and high-performance computing.
Dr. Alvarado is a professor at the University of Virginia who focuses his professional interests on data visualization, ontology, databases, iconography, text datasets, and transduction, among other areas. He is the associate director of SHANTI (i.e., the Sciences, Humanities & Arts Network of Technological Initiatives) and teaches courses on dataesthetics, the internet, introduction to digital liberal arts, and a myriad others. He has authored various impactful publications, including “Figuring the Data in a Database of Figures” in Dame Philology’s Charrette: Approaching Medieval Textuality through Chretien’s Lancelot (2012).
In addition to working as a professor at UCI’s Department of Computer Science, Dr. Smyth also serves as the director of the UCI Data Science Initiative, as well as the associate director of the Center for Machine Learning and Intelligent Systems. He has published a number of recent papers, including “Content Coding of Psychotherapy Transcripts Using Labeled Topic Models” in the IEEE Journal of Biomedical and Health Informatics (2015). In the winter of 2017, he will be teaching courses on projects in AI, probabilistic learning, and a seminar in data science.
Dr. Bosl of the University of San Francisco has many prominent publications to his name, including articles for the International Journal of Medical Research, Epilepsy and Behavior, and BMC Medicine. His research foci are nonlinear signal processing and machine learning in healthcare; the early detection of neurodevelopmental disorders using nonlinear EEG analysis; and cognitive phenotypes, consciousness, and electrophysiology, among others. He works at the intersection of healthcare and advanced technology, serving as the director of the master of science in health informatics program, and previously worked as a computational physicist before joining the Boston Children’s Hospital Informatics Program as a faculty member with Harvard Medical School.
Roger Eastman is a professor of computer science at Loyola University Maryland, where he teaches courses such as computer science; GUI design and implementation; theory of computation; and human-computer interaction, among others. His research interests include computing and the arts, as well as image registration (i.e., the alignment of images taken in different applications). He is the co-author of Image Registration for Remote Sensing (Oct. 2010) and he has started research initiatives on advanced sensors in manufacturing robots.
Dr. Rundensteiner is a professor of computer science at Worcester Polytechnic Institute, where she also serves as the director of the data science program. Her research focuses on how to make use of data and information in an effective manner in order to achieve goals in business, scientific discovery, health services, or personal endeavors. She’s affiliated with both IEEE and the Association for Computing Machinery. She was the 2011 recipient of the EPTS Innovative Principles Award and the 2007 Sigma Xi Outstanding Senior Faculty Researcher Award.
Dr. Kautz is the Robin and Tim Wentworth Director of the Goergen Institute for Data Science, as well as a professor in the Department of Computer Science at the University of Rochester. He teaches courses on methods in data-enabled research, computer models and limitations, pervasive computing, and artificial intelligence, among many others. He has been honored as a fellow by the American Association for the Advancement of Science, the Association for Computing Machinery, and the Association for Advancement of Artificial Intelligence. Notably, he received the IJCAI Computers & Thought Award; the Ubicomp 10-Year Impact Award; the AAAI Classic Paper Award; and the IAAI Deployed Application Award.
In addition to working as a professor at UCI’s Department of Computer Science, Dr. Smyth also serves as the director of the UCI Data Science Initiative, as well as the associate director of the Center for Machine Learning and Intelligent Systems. He has published a number of recent papers, including “Content Coding of Psychotherapy Transcripts Using Labeled Topic Models” in the IEEE Journal of Biomedical and Health Informatics (2015). In the winter of 2017, he will be teaching courses on projects in AI, probabilistic learning, and a seminar in data science.
Dr. Bosl of the University of San Francisco has many prominent publications to his name, including articles for the International Journal of Medical Research, Epilepsy and Behavior, and BMC Medicine. His research foci are nonlinear signal processing and machine learning in healthcare; the early detection of neurodevelopmental disorders using nonlinear EEG analysis; and cognitive phenotypes, consciousness, and electrophysiology, among others. He works at the intersection of healthcare and advanced technology, serving as the director of the master of science in health informatics program, and previously worked as a computational physicist before joining the Boston Children’s Hospital Informatics Program as a faculty member with Harvard Medical School.
Roger Eastman is a professor of computer science at Loyola University Maryland, where he teaches courses such as computer science; GUI design and implementation; theory of computation; and human-computer interaction, among others. His research interests include computing and the arts, as well as image registration (i.e., the alignment of images taken in different applications). He is the co-author of Image Registration for Remote Sensing (Oct. 2010) and he has started research initiatives on advanced sensors in manufacturing robots.
Dr. Rundensteiner is a professor of computer science at Worcester Polytechnic Institute, where she also serves as the director of the data science program. Her research focuses on how to make use of data and information in an effective manner in order to achieve goals in business, scientific discovery, health services, or personal endeavors. She’s affiliated with both IEEE and the Association for Computing Machinery. She was the 2011 recipient of the EPTS Innovative Principles Award and the 2007 Sigma Xi Outstanding Senior Faculty Researcher Award.
Dr. Kautz is the Robin and Tim Wentworth Director of the Goergen Institute for Data Science, as well as a professor in the Department of Computer Science at the University of Rochester. He teaches courses on methods in data-enabled research, computer models and limitations, pervasive computing, and artificial intelligence, among many others. He has been honored as a fellow by the American Association for the Advancement of Science, the Association for Computing Machinery, and the Association for Advancement of Artificial Intelligence. Notably, he received the IJCAI Computers & Thought Award; the Ubicomp 10-Year Impact Award; the AAAI Classic Paper Award; and the IAAI Deployed Application Award.
After graduating from UC Berkeley, Jocelyn traveled the world for five years as an English teacher and freelance writer. After stints in England, Japan, and Brazil, she settled in San Francisco and worked as a managing editor for a tech company. She’s recently become interested in the underrepresented groups in STEM fields and published a piece on Women in Engineering. When Jocelyn isn’t writing about college programs and professors, she satirizes global politics and other absurdities at Blore’s Razor (Instagram: @bloresrazor).
As with other engineering disciplines, mechanical engineering is complex, and the success of a mechanical engineering project can often be mission-critical. Given that, it is essential to learn from the best, and these professors represent the most accomplished and involved in the field, ready to inspire and impart their knowledge to a new generation of engineers.
As with other engineering disciplines, mechanical engineering is complex, and the success of a mechanical engineering project can often be mission-critical. Given that, it is essential to learn from the best, and these professors represent the most accomplished and involved in the field, ready to inspire and impart their knowledge to a new generation of engineers.
As with other engineering disciplines, mechanical engineering is complex, and the success of a mechanical engineering project can often be mission-critical. Given that, it is essential to learn from the best, and these professors represent the most accomplished and involved in the field, ready to inspire and impart their knowledge to a new generation of engineers.
As with other engineering disciplines, mechanical engineering is complex, and the success of a mechanical engineering project can often be mission-critical. Given that, it is essential to learn from the best, and these professors represent the most accomplished and involved in the field, ready to inspire and impart their knowledge to a new generation of engineers.
As with other engineering disciplines, mechanical engineering is complex, and the success of a mechanical engineering project can often be mission-critical. Given that, it is essential to learn from the best, and these professors represent the most accomplished and involved in the field, ready to inspire and impart their knowledge to a new generation of engineers.