Kyle Saleeby

Kyle Saleeby's profile picture
kylesaleeby@gatech.edu

Saleeby was formerly a research staff member from Oak Ridge National Laboratory where he was in the Manufacturing Science Division. His work focuses on connecting machines and manufacturing processes with Industry 4.0 and Industrial IoT technologies. Current interests center on applications of data analytics and closed-loop control for Hybrid Manufacturing processes, where additive and subtractive (machining) processes are combined within a single machine tool.

Research Engineer II
Office
GTMI 341
IRI/Group and Role
Manufacturing > Research Professional
Manufacturing
Research Areas
Artificial Intelligence

Christopher J. Saldaña

Christopher J. Saldaña's profile picture
christopher.saldana@me.gatech.edu

Dr. Christopher Saldaña began working at Georgia Tech in 2014. Prior, Dr. Saldaña previously held the Harold and Inge Marcus Career Professorship at the Pennsylvania State University and worked as a research engineer at M4 Sciences Corporation. Dr. Saldaña has also previously held visiting affiliations/positions with the US Air Force Research Laboratory, the Indian Institute of Science (Bangalore, India), Technische Universität Dortmund (Dortmund, Germany), Autodesk, and Sandia National Laboratories. He has received several awards, including an NSF CAREER award, the Robert J. Hocken SME Outstanding Young Manufacturing Engineer award and an R&D100 Technology Award. He serves as an Associate Editor for IISE Transactions (Design and Manufacturing) and serves on the Editorial Boards of Manufacturing Letters, Computer Aided Design and Applications, and the ASTM Journal of Smart and Sustainable Manufacturing.

Ring Family Professor
Associate Professor
Phone
404-385-3735
Office
GTMI, Room 259
Additional Research

Additive/Advanced Manufacturing; Composites; Bio-Inspired Materials; Computer-Aided Engineering; Advanced Characterization

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Manufacturing > Affiliated Faculty
Manufacturing > AMPF
Manufacturing
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Research Areas
Artificial Intelligence

Nick Sahinidis

Nick Sahinidis's profile picture
nikos@gatech.edu

Nick Sahinidis is the Butler Family Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the School of Chemical and Biomolecular Engineering at Georgia Tech. His current research activities are at the interface between computer science and operations research, with applications in various engineering and scientific areas, including: global optimization of mixed-integer nonlinear programs: theory, algorithms, and software; informatics problems in chemistry and biology; process and energy systems engineering. Sahinidis has served on the editorial boards of many leading journals and in various positions within AIChE (American Institute of Chemical Engineers). He has also served on numerous positions within INFORMS (Institute for Operations Research and the Management Sciences), including Chair of the INFORMS Optimization Society. He received an NSF CAREER award, the INFORMS Computing Society Prize, the MOS Beale-Orchard-Hays Prize, the Computing in Chemical Engineering Award, the Constantin Carathéodory Prize, and the National Award and Gold Medal from the Hellenic Operational Research Society. Sahinidis is a member of the U.S. National Academy of Engineering and a fellow of AIChE and INFORMS.

Gary C. Butler Family Chair, School of Chemical and Biomolecular Engineering
Professor, School of Industrial and Systems Engineering and School of Chemical and Biomolecular Engineering
Phone
(404) 894-3036
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Manufacturing > Affiliated Faculty
Energy > Research Community
Manufacturing
Bioengineering and Bioscience
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Research Areas
Artificial Intelligence
Energy
  • AI Energy Nexus
  • Critical Minerals
  • Advanced Manufacturing for Energy
  • Water, Wind, and Solar

David Rosen

David Rosen's profile picture
david.rosen@me.gatech.edu

When Dr. Rosen arrived at Georgia Tech, he helped form the Systems Realization Laboratory, along with Drs. Janet Allen, Bert Bras, and Farrokh Mistree. In August 1995, Dr. Rosen was appointed the Academic Director of the Georgia Tech Rapid Prototyping and Manufacturing Institute (RPMI), where he has responsibility for developing educational and research programs in rapid prototyping. In 1998, he was appointed the Director of the RPMI. He began at Tech in Fall 1992 as an Assistant Professor.

Professor
Associate Chair for Administration
Phone
404.894.9668
Office
Callaway Manufacturing Research Center, Room 252
Additional Research

Papermaking; Energy & Water; Separation Technologies; New Materials for 3D Printing; Paper & Board Mechanics; Microfluidics; Computer-Aided Engineering; Design and Manufacturing; Virtual and rapid prototyping; intelligent CAD/CAM/CAE

IRI/Group and Role
Manufacturing > Affiliated Faculty
Manufacturing
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering

Spyros Reveliotis

Spyros  Reveliotis's profile picture
spyros@isye.gatech.edu

Spyros Reveliotis is a professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Reveliotis' research interests are primarily in discrete event systems theory and its applications, especially in the control of flexibly automated workflows and the traffic management of multi-agent systems evolving over graphs. He also has an active interest in machine learning theory and its applications. Dr. Reveliotis is an IEEE Fellow, and a member of INFORMS. Dr. Reveliotis completed his Ph.D. studies in industrial engineering at the University of Illinois at Urbana-Champaign. He also holds a B.Sc. degree in Electrical Engineering from the National Technical University of Athens, Greece, and an M.Sc. degree in Computer Systems Engineering from Northeastern University.

Professor; School of Industrial & Systems Engineering
Phone
404.894.6608
Office
Groseclose, 325
Additional Research

Discrete Event Systems; Scheduling Theory; Markov Decision Processes; Machine Learning

IRI/Group and Role
Robotics > Core Faculty
Manufacturing
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Research Areas
Artificial Intelligence

Raghuram Puchca

Raghuram Puchca's profile picture
raghuram.pucha@me.gatech.edu

Raghu Pucha obtained his Ph.D. in 1995 from Indian Institute of Science, Bangalore. He held post-doctoral research positions at Nanyang Technological University, Singapore and Purdue University, West Lafayette before coming to Georgia Tech in 2000. 

His research focuses on developing upfront computational tools for the design, analysis and manufacturing of composite materials. His research contributions in composite materials include (i) Special purpose finite elements for design and delamination failure analysis of fiber reinforced laminated composites (ii) Microstructure simulations for impact damage analysis of composites (iii) Design, analysis and optimization tools for advanced composites in electronics applications. His current research includes design and analysis of nano-filler composites for structural, electronics and bio applications. 

Dr. Pucha teaches computer graphics, CAD/CAE and design courses.

Senior Research Engineer
Phone
404.894.7409
Office
Callaway Manufacturing Research Center, Room 451
Additional Research
Computer-Aided Engineering & Design and Manufacturing: Analysis of composite materials for structural and electronics applications; Manufacturing Process Mechanics and Design-for-Reliability.
IRI/Group and Role
Manufacturing > Affiliated Faculty
Manufacturing
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering

Kamran Paynabar

Kamran Paynabar's profile picture
kamran.paynabar@isye.gatech.edu

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

Assistant Professor
Phone
404.385.3141
Office
Groseclose Building, Room 436
Additional Research
  • Aerospace
  • Artificial Intelligence
  • Automotive
  • Big Data Analytics
  • Biobased Materials
IRI/Group and Role
Manufacturing > Affiliated Faculty
Data Engineering and Science > Faculty
Data Engineering and Science > TRIAD Associate
Renewable Bioproducts > Affiliated Faculty
Manufacturing
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Research Areas
Artificial Intelligence
Renewable Bioproducts
  • Pulp, Paper, Packaging and Tissue

Dima Nazzal

Dima Nazzal's profile picture
dima.nazzal@gatech.edu

Dima Nazzal is a Principal Academic Professional in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She is responsible for project-based learning in the Industrial Engineering undergraduate curriculum, including the capstone senior design course, and the cornerstone junior design course. She is also research director of the Center for Health and Humanitarian Systems. Prior to joining Georgia Tech, she was Director of Research and Development at Fortna, Inc., an Engineering Design and Consulting company. 

Research: Her research focuses on modeling, design, and control of discrete event logistics systems, including healthcare delivery systems, manufacturing systems, and distribution systems. Her recent work has focused on election voting systems, higher education response to COVID-19, understanding and driving higher childhood vaccination rates in developing countries, modeling of collaborative robots in distribution systems; scheduling and dispatching policies in semiconductor manufacturing, and energy systems development. She has worked with companies, non-governmental organizations, and healthcare providers, including ExxonMobil, Emory University, Samsung, Emory University, Gates Foundation, and Walt Disney World. See here for relevant publications. 

Teaching: Dr. Nazzal enjoys teaching courses in manufacturing, warehousing, and facility logistics system design and operations, as well as advising senior design teams. She is the recipient of multiple teaching awards including the Georgia Tech Women in Engineering Outstanding Teacher Award in 2015, and the Most Outstanding Faculty Member Award from the University of Central Florida IIE Student Chapter in 2011. 

She received her Ph.D. in Industrial Engineering from Georgia Tech in 2006, her M.S. in Industrial Engineering from the University of Central Florida, and her B.S. in Industrial Engineering from the University of Jordan.

Executive Director of Academic Administration and Student Experience
Phone
404.385.0272
Office
Groseclose, 210
Additional Research
Modeling and analysis of discrete manufacturing flow systems using stochastic OR methods
IRI/Group and Role
Manufacturing > Affiliated Faculty
Manufacturing
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering

Mir Mohammad

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mir@gatech.edu
IT Support Professional Sr
Phone
404.894.4647
Office
GTMI 337/Callaway Manufacturing Research Building
IRI/Group and Role
Manufacturing > Staff
Manufacturing
University, College, and School/Department
Georgia Institute of Technology
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