Dr. Houshang Darabi is an Associate Professor of Industrial and Systems Engineering in the Department of Mechanical and Industrial Engineering (MIE) at the University of Illinois at Chicago (UIC). Dr. Darabi has been the Director of Undergraduate Studies in the Department of MIE since 2007. He has also served on the College of Engineering (COE) Educational Policy Committee since 2007. Dr. Darabi is the recipient of multiple teaching and advising awards including the COE Excellence in Teaching Award (2008, 2014), UIC Teaching Recognitions Award (2011), and the COE Best Advisor Award (2009, 2010, 2013). Dr. Darabi has been the Technical Chair for the UIC Annual Engineering Expo for the past 5 years. The Annual Engineering Expo is a COE’s flagship event where all senior students showcase their Design projects and products. More than 600 participants from public, industry and academia attend this event annually.
Dr. Darabi is an ABET IDEAL Scholar and has led the MIE Department ABET team in two successful accreditations (2008 and 2014) of Mechanical Engineering and Industrial Engineering programs. Dr. Darabi has been the lead developer of several educational software systems as well as the author of multiple educational reports and papers. Some of these products/reports have already been launched/completed and are now in use. Others are in their development stages. Dr. Darabi’s research group uses Big Data, process mining, data mining, Operations Research, high performance computing, and visualization techniques to achieve its research and educational goals.
Elnaz Douzali is a graduate student and researcher at the University of Illinois at Chicago. She is a part of the Mechanical and Industrial Engineering Department and will receive her Masters of Science degree in Industrial Engineering in May 2018. Her research interests include Educational Data Mining, Process Mining, and Healthcare.
Samuel Harford is a graduate research assistant at the University of Illinois at Chicago's Mechanical and Industrial Engineering Department. He received his BSIE in May 2016 from UIC and is currently pursuing his MS. Since 2015 he has done multiple projects in education data mining, some in collaboration with the Dean of Engineering. His research interests include healthcare and education data mining.
Peter Nelson was appointed Dean of the University of Illinois at Chicago’s (UIC) College of Engineering in July of 2008. Prior to assuming his deanship, Professor Nelson was head of the UIC Department of Computer Science. In 1991, Professor Nelson founded UIC's Artificial Intelligence Laboratory, which specializes in applied intelligence systems projects in fields such as transportation, manufacturing, bioinformatics and e-mail spam countermeasures. Professor Nelson has published over 80 scientific peer reviewed papers and has been the principal investigator on over $30 million in research grants and contracts on issues of importance such as computer-enhanced transportation systems, manufacturing, design optimization and bioinformatics. These projects have been funded by organizations such as the National Institutes of Health, the National Science Foundation, the National Academy of Sciences, the U.S. Department of Transportation and Motorola. In 1994-95, his laboratory, sponsored by the Illinois Department of Transportation, developed the first real-time traffic congestion map on the World Wide Web, which now receives over 100 million hits per year. Professor Nelson is also currently serving as principal dean for the UIC Innovation Center, a collaborative effort between the UIC Colleges of Architecture, Design and the Arts; Business Administration; Medicine and Engineering.
Fazle Karim is an aspiring data scientist who is completing his PhD in the Mechanical and Industrial Engineering department at University of Illinois at Chicago. He received his BSIE in 2012 from the University of Illinois at Urbana Champaign. He is currently the lead data scientist at PROMINENT lab, the leading process mining research facility at the university. He has taught courses in Probability & Statistic in Engineering, Work Productivity Analysis, Quality Control & Reliability, and Safety Engineering. His research interest includes education data mining, health care data mining, and time series analysis.
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