Dr. Yu Ding is the Mike and Sugar Barnes Professor of Industrial & Systems Engineering, Professor of Electrical & Computer Engineering, a Faculty Affiliate with Texas A&M Institute of Data Science, Texas A&M Energy Institute, and TEES Institute of Manufacturing Systems. Dr. Ding received his Ph.D. degree from the University of Michigan in 2001. Dr. Ding’s research interest is in the area of system informatics, and data and quality science. Dr. Ding is a recipient of the 2018 Texas A&M Engineering Research Impact Award, and a Fellow of IISE and ASME. Please also visit https://engineering.tamu.edu/industrial/people/yding.
Ahmed Aziz Ezzat is currently pursuing his Ph.D. degree in Industrial and Systems Engineering at Texas A&M University. Aziz received the B.Sc. in Industrial & Management Engineering from the Arab Academy of Science & Technology in Alexandria, Egypt in 2013. His research focuses on the spatio-temporal modeling, prediction and control in complex engineering systems with particular emphasis on wind energy applications.
Imtiaz Ahmed is currently pursuing his Ph.D. and also working as a graduate research assistant in the Industrial & Systems Engineering Department at Texas A&M University. Imtiaz received B.Sc. and M.Sc. degrees in Industrial & Production Engineering from Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh in 2012 and 2014, respectively. He also served as a faculty member there for three years. His research interests are in data analytics, machine learning and quality control. For more information you are most welcome to visit his Google Scholar and LinkedIn profile. Google Scholar: https://scholar.google.com/citations?user=CEouarIAAAAJ&hl=en; LinkedIn: www.linkedin.com/in/imtiazahmedTAMUISEN.
Joel Macaluso is currently pursuing his Ph.D. degree in Industrial and Systems Engineering at Texas A&M University. Joel received the B.Sc. in Mathematics from Rice University, Houston, Texas in 2012. His research interests include deep learning applied to power grid prediction.
Shilan Jin is currently pursuing her Ph.D. degree in Industrial and Systems Engineering at Texas A&M University. Shilan received the B.Sc. in Mathematics from Jilin University, China in 2008 and the M.Sc. in Industrial and Systems Engineering from Texas A&M University in 2013. She also worked for the Walt Disney Company, as a Decision Science Consultant from 2013 to 2017. Her research interests include data analytics, machine learning, and statistical modeling applied to additive manufacturing.
Abhinav Prakash is currently a PhD student in the Department of Industrial and Systems Engineering at Texas A&M University. Abhinav received his bachelor’s in Mechanical Engineering from Visvesvaraya National Institute of Technology, Nagpur, India in 2012. He also worked for Bharat Petroleum Corporation (a Fortune 500 company) as a Management Executive for three years. His research at Texas A&M focuses on developing data science and machine learning methodologies for engineering systems. He has worked briefly on design quantile estimation for nonstationary extreme events using a sign-constrained Bayesian method. He is currently working on wind energy systems. For more information please visit http://people.tamu.edu/~abhinavprakash2006.
Jiaxi Xu is currently pursuing his Ph.D. degree in the Department of Industrial and Systems Engineering at Texas A&M University. Jiaxi received his B.Sc. degree in Mechanical Engineering from Shanghai Jiao Tong University, China in 2017. His research focuses on data science, machine learning and deep learning methodologies with emphasis on image processing applications. He is currently working on image super-resolution using various deep learning methods.
Adaiyibo Kio is currently pursuing his Ph.D. in Industrial & Systems Engineering at Texas A&M University. Adaiyibo received the B.Tech. in Civil Engineering from the Rivers State University, Port Harcourt, Nigeria in 2004, a M.Sc. in Petroleum Engineering from the Imperial College London in 2009, United Kingdom, and a M.S. in Petroleum Engineering from Texas A&M University, College Station in 2017. He worked as an engineer for several years in Africa and Europe, for multinational oil companies, acquiring, processing and interpreting petrophysical data, helping clients plan these activities and managing operations. He is currently working on data science applications to wind energy systems. Please visit https://www.linkedin.com/in/wenodey2 for more information about him.
Alumni (in chronological order)
Pansoo Kim, Kyungpook National University, South Korea, 2004.
Sampatraj S. Mandroli, 2004.
Abhishek Gupta, 2004.
Qinyan Liu, 2004
Jung Jin Cho, Baker Hughes, Houston, Texas, 2007
Yuan Ren, mParticles, New York City, 2008
Haifeng (Heidi) Rodenbeck, Freddie Mac, Virginia, 2009
Abhishek K. Shrivastava, Capital One, Dallas, Texas, 2009
Eunshin Byon, University of Michigan, Ann Arbor, Michigan, 2010
Chiwoo Park, Florida State University, Tallahassee, Florida, 2011
Alan Sonntag, Sandia National Lab, Albuquerque, New Mexico, 2012
Giwhyun Lee, Korea Army Academy, South Korea, 2013
Arash Pourhabib, Google, Mountain View, California, 2014
Erika Sy, Dow Chemical, Freeport, Texas, 2015
Hoon Hwangbo, University of Tennessee at Knoxville, 2017
Yanjun Qian, Virginia Commonwealth University, 2018
Jason Lawley, 2018
David Perez, 2018
Jay Jayesh Shah, Ensemble Energy, California, 2019