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.

Dr. Emily D. Sanders is an Assistant Professor in the Woodruff School of Mechanical Engineering at Georgia Tech. She obtained her Ph.D. at Georgia Tech in 2021, where she developed new topology optimization methods for design of tension-only cable nets, elastostatic cloaking devices, and multiscale structures and components. Dr. Sanders hold a bachelor’s degree from Bucknell University and a master’s degree from Stanford University.

Professor Kurfess began his academic career at Carnegie Mellon University where he rose to the rank of Associate Professor. In 1994, he moved to the Georgia Institute of Technology where he rose to the rank of Professor in the George W. Woodruff School of Mechanical Engineering. In 2005, he was named Professor and BMW Chair of Manufacturing in the Department of Mechanical Engineering at Clemson University’s International Center for Automotive Research. In 2012, he returned to Georgia Tech as a Professor of Mechanical Engineering and the HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control.

During 2012-2013, Dr. Kurfess was on leave serving as the Assistant Director for Advanced Manufacturing at the Office of Science and Technology Policy in the Executive Office of the President of the United States of America. In this position he had responsibility for engaging the Federal sector and the greater scientific community to identify possible areas for policy actions related to manufacturing. He was responsible for coordinating Federal advanced manufacturing R&D, addressing issues related to technology commercialization, identifying gaps in current Federal R&D in advanced manufacturing, and developing strategies to address these gaps. During  2019-2021 he was on leave serving as the Chief Manufacturing Officer and the Founding Director for the Manufacturing Science Division at Oak Ridge National Laboratory, where he was responsible for strategic planning in advanced manufacturing.

Professor Kurfess has served as a special consultant of the United Nations to the Government of Malaysia in the area of applied mechatronics and manufacturing, and as a participating guest at the Lawrence Livermore National Laboratory in their Precision Engineering Program. He has testified in a number of patent cases, including testifying at the International Trade Commission (ITC). He is currently the President of the American Society of Mechanical Engineers (ASME) and also serves on the Board of Governors of ASME. He is the CTO of the National Center for Manufacturing Sciences (NCMS) and serves on its Board of Directors. He also serves on the Board of Directors for the National Center for Defense Manufacturing and Machining (NCDMM), and on the Board of Trustees of the MT Connect Institute. He served on the Board of Directors for the Society of Manufacturing Engineers (SME) and was the President of SME in 2018. He is an appointed member of the Department of Energy, National Nuclear Security Administration, Advisory Committee for Nuclear Security, and an appointed member of the Department of the Navy Science and Technology Board.

His research focuses on the design and development of advanced systems targeting the automotive sector (OEM and supplier) including vehicle and production systems. He has significant experience in high precision manufacturing and metrology systems. He has received numerous awards including a National Science Foundation (NSF) Young Investigator Award, an NSF Presidential Faculty Fellowship Award, the ASME Pi Tau Sigma Award, SME Young Manufacturing Engineer of the Year Award, the ASME Blackall Machine Tool and Gage Award, the ASME Gustus L. Larson Award, an ASME Swanson Federal Award, and the SME Education Award. He is an elected member of the National Academy of Engineering, and a Fellow of the AAAS, the SME and the ASME.

My research focuses on engineering-driven machine learning methodologies for real-world problems in manufacturing and healthcare. The objective is to develop new models that combine learning methods with domain knowledge, in order to improve (i) efficiency, performance, and interpretability of the learning models; and (ii) productivity, scalability, and security of the engineering systems. 

Research areas: Additive Manufacturing, Bio-manufacturing, Healthcare, Machine Learning, Statistics.

Location:
Jialei Chen, Ph.D.
Department of Statistics, University of Georgia 

Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Professor Citrin earned a B.A. from Williams College (1985) and a M.S. (1987) and a Ph.D. (1991) from the University of Illinois, all in physics, where his dissertation was on the optical properties of semiconductor quantum wires. Subsequently, he was a post-doctoral research fellow at the Max Planck Institute for Solid State Research, Stuttgart, Germany (1992-1993) and Center Fellow at the Center for Ultrafast Optical Science at the University of Michigan (1993-1995). Dr. Citrin was an assistant professor of physics and materials science at Washington State University (1995 to 2001).

Professor Citrin joined the faculty at Georgia Tech in 2001 where his work focuses on terahertz technology and nanotechnology. He is a recipient of a Presidential Early Career Award for Scientists and Engineers and of a Friedrich Bessel Award from the Alexander Von Humboldt Stiftung. In addition, he is Project Coordinator on Nonlinear Optics and Dynamics at Georgia Tech-CNRS UMI 2958 located at Georgia Tech-Lorraine. Professor Citrin’s research in terahertz imaging is featured in the Georgia Tech press release, ”Imaging Technique Unlocks the Secrets of 17th Century Artists"; a list of some media placements from the press release may be found at http://photonics.georgiatech-metz.fr/node/33.

Research interests: 

• Terahertz nondestructive testing of materials
• Terahertz characterization of art and cultural heritage
• Chaos and nonlinear dynamics in external-cavity semiconductor lasers
• Nanophotonics
• High-speed electronic, photonic, and optoelectronic devices
• Nonlinear optical properties of semiconductor materials and devices

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.

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.

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.

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.