Current students
Hemanth Chowdary Gaddipati is a graduate student pursuing a master's degree in information technology with Advanced Data and knowledge discovery. He has a bachelor's in technology degree in electronics and communication engineering. He has experience working as a programmer analyst for Cognizant technology solutions where he developed automation scripts, performed data analytics, and provided machine learning-based solutions to clients' specific needs.
Robert Deal is an undergraduate student at the Department of Mathematics and Computer Science, Fayetteville State University.
Luke Demars is a PhD student at the Department of Optical Science & Engineering, University of North Carolina at Charlotte. He is studying the impact of mid-spatial frequency errors on optical performance under the supervision of Dr. Thomas Suleski.
William Flathmann is an undergraduate student at the Department of Computer Science, North Carolina State University. He is currently working with Dr. Sambit Bhattacharya.
Maryam Hashemitaheri is a PhD student at the Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte. She started her PhD studies in 2018 under supervision of Dr. Harish Cherukuri, working on the applications of Machine Learning (ML) in manufacturing. Her dissertation research is focused on the feasibility of machine learning models for chatter avoidance in machining, combining physics-based machining models and ML-facilitated feedback systems and determining the uncertainty in ML online models to predict chatter occurrence. She holds an MSc in Solid Mechanics. On her MSc thesis, she was working on the poroelasticity field, especially thermal stability of porous plates
John Hawthorn, UNC Charlotte
Joshua Hilbish is an undergraduate student at the Department of Mathematics and Computer Science, Fayetteville State University.
Kevin Kabbes is an undergraduate student at the Department of Mathematics and Computer Science, Fayetteville State University.
Rafi Marandi is a PhD student at the Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte. He started his PhD studies in 2016 under the supervision of Dr. Joshua Tarbutton.
Ana Hiza Ramirez-Andrade, is a third-year Ph.D. student in the department of Optical Science and Engineering at UNC Charlotte. Her main research interest focus on metrology using structured light illumination systems as well as Machine Learning and Data science techniques. Ana holds a master's degree in electronics from the National Institute of Astrophysics, Optics and Electronics in Puebla, Mexico.
Nikole Sanchez is an undergraduate student at the Department of Mathematics and Computer Science, Fayetteville State University.
Avery Turley is an undergraduate student at the Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte. He is studying the different AI approaches for noise reduction in fringe patterns for metrological applications (i.e. projection and interferometry).
Grace Vincent is an undergraduate student at the Department of Mathematics and Computer Science, Fayetteville State University.
Catherine Spooner, FSU research technician
Jeremiah Prieto, FSU Computer Science undergraduate student
Dalisha Rivera-Rodriguez, FSU Computer Science undergraduate student
Former students
Hamidreza Aryan, UNC Charlotte PhD student (2019), studied the relationship between optical surface finish and imaging quality. He is now working as an Optical Metrology Engineer at OptoFidelity in San Francisco, CA.
Jiang (Jessie) Jiang, UNC Charlotte MS student from the School of Data Science (2019), studied chatter prediction in metal cutting using machine learning. She is now working as a Business Initiative Consultant at Wells Fargo in Charlotte, NC.
https://sites.google.com/view/jiang-jiang-jessie/home
Prashanth Jaganmohan, UNC Charlotte PhD student (2020)
Nicholas Sizemore, UNC Charlotte PhD student (2020), studied the application of data learning models to surface finish prediction in single-point diamond turning.