Dr. Yu Ding is the Mike and Sugar Barnes Professor of Industrial & Systems Engineering, Professor of Electrical & Computer Engineering, Associate Director for Research Engagement of Texas A&M Institute of Data Science (TAMIDS), and a Faculty Affiliate with Texas A&M Energy Institute and TEES Institute of Manufacturing Systems. Dr. Ding serves on the Executive Committee of Texas A&M TRIPODS Research Institute for Foundations of Interdisciplinary Data Science (FIDS).
Dr. Ding’s research interest is in data and quality science. He is a recipient of the 2018 Texas A&M Engineering Research Impact Award, the recipient of the 2019 IISE Technical Innovation Award, a recipient of the 2020 AFS University-Level Distinguished Achievement Award in Research, and a Fellow of IISE and ASME.
Dr. Ding is the Editor-in-Chief Elect for IISE Transactions and will start his term on January 1, 2021. His term as an Editor for IEEE Transactions on Automation Science and Engineering will expire by the end of 2020. Previously, Dr. Ding served as a Senior Editor for the newly created INFORMS Journal on Data Science. He also served as a Department Editor for IISE Transactions (formerly IIE Transactions) from 2005 to 2020, as an Associate Editor for IEEE Transactions on Automation Science and Engineering from 2006 to 2009, and a special issue Guest Co-Editor for Technometrics from 2013 to 2015.
Please click here to see Dr. Ding’s Curriculum Vitae.
Imtiaz Ahmed is currently a post-doctoral research associate in the Industrial and 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. Imtiaz received his Ph.D. degree from Texas A&M University in August 2020. 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 a Ph.D. student 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. Joel is currently on leave pursuing an entrepreneur opportunity.
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.
Adaiyibo Kio is currently pursuing his Ph.D. in Industrial and 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.
Effi Latiffianti is currently pursuing her Ph.D degree in Industrial and System Engineering. Effi received B.Eng in Industrial Engineering in 2005 from Institut Teknologi Sepuluh Nopember, Indonesia and M.Sc of Industrial Engineering and Operations Management in 2009 from Nottingham University, United Kingdom. She worked in Indonesia and the US as a field engineer (2005 – 2007) for a multinational oil service company, acquiring, processing and interpreting petrophysical data. She is also a faculty member of Industrial Engineering Department of Institut Teknologi Sepuluh Nopember in Indonesia. Her research interests include the application of data analytics, machine learning, and discrete event simulation. She is currently working on reliability analysis in wind energy.
Hae Won Sohn is currently pursuing his Ph.D. degree in Industrial and Systems Engineering at Texas A&M University. Hae Won received B.S. in Chemical Engineering from Rice University, Houston, Texas in 2016 and M.S in Chemical Engineering from Cornell University, Ithaca, New York in 2018. Hae Won worked for Applied Materials as a process engineer before joining Texas A&M University. Hae Won is currently working on machine learning driven chemical synthesis.
Jiaxi Xu is currently pursuing his Master’s 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.
Alumni (in chronological order)
Pansoo Kim, 2004. Now Professor of School of Business Administration, Kyungpook National University, South Korea.
Sampatraj S. Mandroli, 2004.
Abhishek Gupta, 2004.
Qinyan Liu, 2004
Jung Jin Cho, 2007. Now with Baker Hughes, Houston, Texas.
Yuan Ren, 2008. Now Head of Data Science, mParticles, New York City.
Heidi Rodenbeck, 2009. Now Tech Lead, Quantitative Analytics at Freddie Mac, McLean, Virginia.
Abhishek K. Shrivastava, 2009. Now Senior Manager, Data Science at Capital One Auto Finance, Plano, Texas.
Eunshin Byon, 2010. Now Associate Professor of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
Chiwoo Park, 2011. Now Associate Professor of Industrial and Manufacturing Engineering, Florida State University, Tallahassee, Florida.
Alan Sonntag, 2012. Now with Sandia National Lab, Albuquerque, New Mexico.
Giwhyun Lee, 2013. Now Associate Professor at Korea Army Academy at Yeongcheon, South Korea.
Arash Pourhabib, 2014. Now Data Scientist with Google, Mountain View, California.
Erika Sy, 2015. Now with Dow Chemical, Freeport, Texas.
Hoon Hwangbo, 2017. Now Assistant Professor of Industrial and Systems Engineering, University of Tennessee at Knoxville, Knoxville, Tennessee.
Yanjun Qian, 2018. Now Assistant Professor of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia.
Jason Lawley, 2018. Now with Accenture, Houston, Texas.
David Perez, 2018. Now with Intersys Consulting, Austin, Texas.
Jay Jayesh Shah, 2019. Now with Ensemble Energy, California.
Ahmed Aziz Ezzat, 2019. Now Assistant Professor of Industrial and Systems Engineering, Rutgers University, New Brunswick-Piscataway, New Jersey.
Nitesh, Kumar, 2020. Now as a Research Associate in Texas Engineering Experiment Station.
Imtiaz Ahmed, 2020. Now with Texas A&M University as a post-doc.