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Dr. Ming Leu is the Keith and Pat Bailey Distinguished Professor in the Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology. He founded Missouri S&T’s Center for Aerospace Manufacturing Technologies in 2004 and since then has been serving as its director until May 2016. Prior to joining Missouri S&T, he was a Program Director at the National Science Foundation, 1996-1999, the State Chair Professor in Manufacturing Productivity at the New Jersey Institute of Technology, 1987-1996, and a faculty member at Cornell University. Professor Leu obtained his Ph.D. degree in 1981 from the University of California at Berkeley, his M.S. degree in 1977 from the Pennsylvania State University, and his B.S. degree in 1972 from the National Taiwan University, all in Mechanical Engineering. Dr. Leu’s research interests include additive manufacturing, virtual prototyping, CAD/CAM, robotics, machine dynamics and control, and cyber-physical systems. He has published over 410 papers in refereed publications in professional journals and conference proceedings. Also, he has written one e-book and 10 book chapters and has been granted 4 U.S. patents.
Dr. Leu has received many professional awards, including the University of Missouri President’s Leadership Award (2017), ASME Blackall Machine Tool and Gage Award (2014), ISFA Hideo Hanafusa Outstanding Investigator Award (2008), MCASTA Outstanding Scholar Award (2006), ASME Distinguished Service Award (2004), Missouri S&T AMAE Faculty Excellence Award (2001 & 2004), NJIT Harlan J. Perlis Research Award (1993), NSF Presidential Young Investigator Award (1985), SAE Ralph R. Teetor Education Award (1985), and FPRS Wood Paper Award (1981), and was on the NJIT team to receive the CASA/SME University Lead Award (1994). He was elected to CIRP Fellow in 2008 and to ASME Fellow in 1993 and is a member of the Sigma Xi, Tau Beta Pi, and Phi Kappa Phi honor societies.
Dr. Frank Liou is the Michael and Joyce Bytnar Professor of Mechanical Engineering Department, Missouri University of Science and Technology. He has served as the Director of the Manufacturing Engineering Program at Missouri S&T since the year 1999 and has successfully received several curriculum development funds and set up two scholarship endowment programs. He has published a book on Rapid Prototyping along with over 300 technical papers. Dr. Liou’s research excels in additive manufacturing (AM), including hybrid additive and subtractive processes, path planning, multiscale multiphysics process modeling, and AM process monitoring and control. His research has been funded by AFRL, NASA, NSF, and industries. Dr. Liou has received several teaching, research, and service awards, including several best paper awards. Dr. Liou is a Fellow of ASME.
Dr. Sanjay Kumar Madria received his Ph.D. in Computer Science from Indian Institute of Technology, Delhi, India in 1995. He is a full tenured Professor, Department of Computer Science, at the Missouri University of Science and Technology (formerly, University of Missouri-Rolla), USA. Earlier he was Visiting Assistant Professor in the Department of Computer Science, Purdue University, West Lafayette, USA. He has published more than 230 Journal and conference papers in the areas of mobile computing, sensor networks, security, cloud computing, etc. He won five IEEE best paper awards in conferences including IEEE SRDS 2015, IEEE MDM in 2011 and 2012. He co-authored a book entitled "Web Data Management: A Warehouse Approach" published by Springer-verlag. He guest edited WWW Journal, several Data and Knowledge Engineering Sp. Issues on Web data management and Data warehousing. He was founding Program Chair for EC&WEB conference series. He served as a general co-chair of Mobile Data Management conference in 2010, IEEE Symposium on Reliability in Distributed Systems in 2012 and PC co-chair of MDM 2015. He serves on steering committees of IEEE SRDS and IEEE MDM.
Dr. Madria is serving/served as PC member of various conferences such as VLDB, MDM, CIKM, ICDCS, and reviewer for many reputed journals such as IEEE TKDE, IEEE Computer, ACM Internet Computing, IEEE TMC etc. Dr. Madria has given tutorials on mobile data management in many international conferences like Middleware, MDM and SRDS. He is regular invited panelist in NSF, NSERC (Canada), Hong Kong Research Council and Sweden Council of Research. He received UMR faculty excellence award in 2007, 2009, 2011, 2013 and 2015, Japanese Society for Promotion of Science invitational fellowship in 2006, and Air Force Research Lab's visiting faculty fellowship from 2008 to 2016. He was honored with NRC fellowship in 2012-2013 by National Academies. His research is supported by multiple grants from several agencies such as NSF, DOE, NIST, AFRL, ARL, UM research board and from industries such as Boeing. He is IEEE Senior Member, served as IEEE Distinguished speaker and currently he is a speaker under ACM Distinguished Visitor program. He is ACM Distinguished Scientist and IEEE Golden Core Awardee.
Dr. Bruce McMillin - The main thread of my research activities has been to create the sound theory and practice of fault tolerance and security for distributed computing applications. My work treats these aspects as functions of the application rather than of the underlying system. Since most work in providing fault tolerance and security is based on assuring the underlying system, my work represents a radical departure from the mainstream of the discipline. Breaking from the main thread of research has required the development of a new theory of how program correctness is understood. The approach is to provide semantics to ensure, at runtime, that a distributed program is survivable (has fault tolerance) and maintains its security, in the presence of system failures and security intrusions. Current federal emphasis on protection of complex distributed systems has proven to be an ideal match for my work. Collaborative, interdisciplinary partnerships are the cornerstone of success in these new programs. Recently, collaborative work with EE has resulted in NSF funding to apply my techniques to the problem of fault-tolerant and secure power grid management. Recently we were awarded an NSF Engineering Research Center for Distributed Energy and Computer Science from S&T is the lead.
Dr. J. Sarangapani is currently a Rutledge-Emerson Distinguished Professor in the Department of Electrical and Computer Engineering and Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems with a joint appoinment with the Departments of Computer Science and Systems Engineering. He has graduated over 26 doctoral and 30 M.S thesis students and many of his doctoral students are faculty around the world with two of them receiving NSF Career awards in the US. He has coauthored 150 peer-reviewed journal articles mostly two authored papers with his students, over 255 IEEE conference articles, several book chapters, and six books. He holds 20 patents with several pending. His research interests include adaptive and neural network control, networked dynamic systems or cyber-physical systems, computer/communication/sensor networks, and control applications including diagnostics/prognostics, autonomous systems/robotics, and power systems. His received NSF Career Award in 2000, Caterpillar Research Excellence Award in 2001, Boeing Pride Achievement Award in 2007 and many others.
Dr. Sarangapani received multiple faculties and teaching excellence awards at Missouri S&T. He served as the IEEE associate editor for a number of IEEE Transactions and on organizing committees of IEEE conferences. He also served as the series co-editor of IET book series on Control. He is currently serving as the Associate Editor for the IEEE Transactions on Systems, Man, and Cybernetics. He is a Fellow of the IEEE, IET (UK) and Measurement & Control (UK). His research is supported by NSF, AFOSR, ARL, Boeing, Caterpillar, and many others.
Dr. Don Wunsch is the Mary K. Finley Missouri Distinguished Professor and Director of the Applied Computational Intelligence Laboratory at Missouri University of Science and Technology (Missouri S&T). Earlier employers were: Texas Tech University, Boeing, Rockwell International, and International Laser Systems. His education includes executive MBA - Washington University in St. Louis, Ph.D., Electrical Engineering - University of Washington (Seattle), M.S., Applied Mathematics (same institution), B.S., Applied Mathematics - University of New Mexico, and Jesuit Core Honors Program, Seattle University. Key research contributions are: Clustering / Unsupervised Learning; Adaptive Resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Robotic Swarms; and Bioinformatics. He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 2007-2013, NSF CAREER Award winner, and winner of the 2015 INNS Gabor Award.
Dr. Wunsch served as IJCNN General Chair, and on several Boards, including the St. Patrick’s School Board, IEEE Neural Networks Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium, Chaired the Missouri S&T Information Technology and Computing Committee as well as the Student Design and Experiential Learning Center Board. He has produced 19 Ph.D. recipients in Computer Engineering, Electrical Engineering, Systems Engineering and Computer Science; has attracted over $10 million in sponsored research, and has over 400 publications including nine books. His research has been cited over 13,000 times.
Dr. Douglas Bristow is currently an Associate Professor in the Department of Mechanical and Aerospace Engineering and Director of the Center for Aerospace Manufacturing Technologies, an industry consortium that currently includes eleven member companies. He received his Ph.D. in Mechanical Engineering, from the University of Illinois at Urbana-Champaign in 2007. Dr. Bristow’s research is in precision motion control, particularly for atomic force microscopy, process control for additive manufacturing, including metal LENS and SLM and a novel glass printing process, and rapid metrology and volumetric error compensation for large machine tools and industrial robotics. Dr. Bristow’s research is currently funded by the National Science Foundation, Department of Energy, the Digital Manufacturing and Design Innovation Institute, Boeing, and Automated Precision, Inc. He is currently an Associate Editor of the ASME Journal of Dynamic Systems, Measurement, and Control.
Dr. K. Chandrashekhara is a Curators' Professor of Mechanical and Aerospace Engineering at Missouri S&T and the Director of the Composite Manufacturing Laboratory. His research areas are Composites, Biomaterials, and Finite Element Analysis. He has performed research for Army Research Office, Office of Naval Research, Department of Commerce, Air Force Research Laboratory, National Science Foundation, Department of Transportation, Department of Agriculture, Department of Housing and Urban Development, and several industries. He has published over 200 technical papers including over 75 journal articles. He is the co-author of a leading textbook on composite materials and is on the editorial board of the Journal of Biobased Materials and Bioenergy. He has received several Missouri S&T Faculty Excellence Awards and the recipient of the Academy of Mechanical Engineers Research Excellence Award. He is a Fellow of the American Society of Mechanical Engineers.
Dr. Sajal Das, an IEEE Fellow, is a professor of Computer Science and Daniel St. Clair Endowed Chair in Computer Science at Missouri University of Science and Technology, Rolla. Prior to September 2013, he was a University Distinguished Scholar Professor of Computer Science and Engineering at the University of Texas at Arlington. During 2008-2011, he was a Program Director at the NSF in Computer Networks and Systems Division in the CISE Directorate. In 2012, he was selected as the E.T.S. Walton Fellow by the Science Foundation of Ireland. Dr. Das has visited numerous universities worldwide for collaborative research and is frequently invited as keynote speaker at international conferences. His research interests include wireless sensor networks, mobile and pervasive computing, cyber-physical systems, smart environments including smart healthcare and smart grid, big data analytics, IoT, distributed and cloud computing, security, biological and social networks, and applied graph theory and game theory. Dr. Das has directed numerous funded projects and published more than 650 research articles in high-quality journals and refereed conference proceedings. He holds 5 US patents, co-authored 52 book chapters and four books titled Smart Environments: Technology, Protocols, and Applications (2005), Handbook on Securing Cyber-Physical Critical Infrastructure: Foundations and Challenges (2012), Mobile Agents in Distributed Computing and Networking (2012), and Principles of Cyber-Physical Systems: An Interdisciplinary Approach (2017).
Dr. Das is one of the most prolific computer science authors according to DBLP. His h-index is 75 with more than 23,500 citations according to Google Scholar. He is a recipient of 10 Best Paper Awards at prestigious conferences and numerous awards for research, teaching, mentoring and professional service, including IEEE Computer Society’s Technical Achievement Award for pioneering contributions to sensor networks and mobile computing. He serves as the founding Editor-in-Chief of Elsevier’s Pervasive and Mobile Computing Journal and serves as an Associate Editor of several journals including IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. A (co-) founder of IEEE PerCom, IEEE WoWMoM, IEEE SMARTCOMP, and ICDCN conferences, he has served on numerous IEEE and conference committees as General Chair, Technical Program Chair, and Program Committee member.
Dr. Xiaoping Du - Title: Assistant Professor of Mechanical Engineering - Research and Teaching Are: Design and Manufacturing. Dr. Du is currently an Assistant Professor in Mechanical Engineering at Missouri S&T. Dr. Du received Ph.D.s in Mechanical Engineering from the University of Illinois at Chicago in 2002 and from the Southwest Petroleum Institute in 1995. Dr. Du’s research interests include probabilistic/statistic methods in engineering design, reliability-based design, robust design, and design of experiments, model validation, design optimization and multidisciplinary design optimization, mechanism analysis, and synthesis, and petroleum machinery.
Dr. Mehdi Ferdowsi received his Ph.D. degree in electrical engineering from the Illinois Institute of Technology (IIT), Chicago, the USA in 2004. In August 2004, he joined the Electrical and Computer Engineering Department of the University of Missouri-Rolla (UMR), where he is currently an assistant professor. He has more than 25 publications in the areas of multi-input converters, multilevel converters, battery charge equalization techniques, hybrid vehicles, and digital control. His current research is focused on the integration of plug-in hybrid electric vehicles with the electric power grid, while they both share the same energy storage system, under a current NSF CAREER grant titled "Vehicle Fleet as a Distributed Energy Storage System for the Power Grid". Dr. Ferdowsi has received UMR Outstanding Teaching Award in the 2005-2006 academic year. Dr. Ferdowsi is a member of IEEE and an Associate Editor of IEEE Transactions on Power Electronics.
Dr. Jonathan Kimball received his Ph.D. from the University of Illinois at Urbana-Champaign in 2007 and joined Missouri S&T in January 2008. He is currently an Associate Professor of Electrical and Computer Engineering and Dean’s Scholar of the College of Engineering and Computing. He also has approximately ten years of industry experience prior to his Ph.D., including co-founding a startup company. His current research in the power electronics field focuses on power conversion for renewable energy resources (particularly solar), microgrid modeling and stability, and cyber-physical systems. Dr. Kimball is a registered Professional Engineer in the State of Illinois.
Dr. Robert Landers (email@example.com) is currently a Professor of Mechanical Engineering in the Department of Mechanical and Aerospace Engineering at the Missouri University of Science and Technology (Missouri S&T) and the department’s Associate Chair for Graduate Affairs. He received his B.S. degree from the University of Oklahoma in 1990, M.E. degree from Carnegie Mellon University in 1992, and a Ph.D. degree from the University of Michigan in 1997, all in Mechanical Engineering. His research and teaching interests are in the areas of modeling, analysis, monitoring, and control of manufacturing processes (metal cutting, wire saw machining, friction stir welding, laser metal deposition, freeze–form extrusion fabrication, glass direct energy deposition, and selective laser melting), estimation and control of electrochemical alternative energy systems (hydrogen fuel cells and advanced batteries) and electro–hydraulic systems, and digital control applications.
Dr. Landers has over 175 refereed technical publications, including 71 journal articles and five book chapters, and has been the principal investigator for more than $3.0M in funding from the National Science Foundation, US Department of Energy, Air Force Research Laboratory, US Department of Education, Society of Manufacturing Engineers, Missouri Research Board, and various companies. He received the Society of Manufacturing Engineers’ Outstanding Young Manufacturing Engineer Award in 2004 and the ASME Journal of Manufacturing Science and Engineering Best Paper Award in 2014, is a Fellow of ASME, a senior member of IEEE and SME, and a member of ASEE. He served as associate editor of the ASME Journal of Dynamic Systems, Measurement, and Control (2009–2012), ASME Journal of Manufacturing Science and Engineering (2010–2014), and the IEEE Transactions on Control System Technology (2006–2012), and is currently on the Executive Committee of the ASME Dynamic Systems and Control Division.
Dr. Dan Lin is an associate professor at Missouri University of Science and Technology. She is the director of Cybersecurity Laboratory. She received the Ph.D. degree in Computer Science from the National University of Singapore in 2007 and was a post-doctoral research associate at Purdue University for two years. Her main research interests cover many areas in the fields of database systems, information security, cloud computing and vehicular ad-hoc networks.
Dr. Suzanna Long is Assistant Professor and Department Chair of the Engineering Management & Systems Engineering at the Missouri University of Science and Technology. Her research interests are in critical infrastructures management (especially transportation/supply chain logistics management and energy systems management, including organizational planning and effectiveness). Her research projects frequently include a policy or stakeholder engagement component and integrate a mixed methods approach as part of the overall socio-technical systems analysis. Dr. Long is a strong proponent of the value of diverse, multi-disciplinary teams and feels strongly that teams of this type generate the most innovative solutions. She has won numerous national and international awards and has more than 60 publications in peer-reviewed journals and proceedings.
Dr. Anthony Okafor is currently a Professor of Mechanical and Aerospace Engineering at the Missouri S&T. Dr. Okafor received a Ph.D. degree in Mechanical Engineering and Engineering Mechanics with Major in Manufacturing and Minor in Analytical Mechanics from Michigan Technological University in 1986. He also received an MS degree in Production Management and Manufacturing Technology from the University of Strathclyde, Glasgow, Scotland, in 1982, and an MS degree in Mechanical Engineering with specialization in Machine Tool Design and Production from the Technical University of Sofia, Bulgaria in 1980. His teaching and research interests are in Manufacturing including intelligent machining, high-speed machining, machine tool dynamics and metrology, sensors and signal processing, Computer Numerical Control (CNC), and neural network applications; Smart Structures including Structural Health Monitoring and Non-Destructive Testing & Evaluation. His current research is in Advanced NDE Development for Bonded Repair of Aging Aircraft, Multi-Modal NDE Development for Corrosion Detection and Analysis; and high-speed machining of monolithic thin-walled titanium aerospace components.
Dr. Sahra Sedigh is an Associate Professor of Electrical and Computer Engineering. She received the B.S.E.E. degree from the Sharif University of Technology, and the M.S.E.E. and Ph.D. in electrical and computer engineering from Purdue University. Her current research centers on development and modeling of dependable networks and systems, with focus on critical infrastructure. Her projects include research on the dependability of the electric power grid, large-scale water distribution networks, and transportation infrastructures. Her industry experience includes research and development of high availability mechanisms for the Cisco Internetwork Operating System. Her past and present research sponsors include the US and Missouri Departments of Transportation, the US Department of Education, the US National Security Agency, the US Army, the EU FP7 Program on Smart Monitoring of Historic Structures, and private industry. She is a Fellow of the National Academy of Engineering's Frontiers of Engineering Education Program and held a Purdue Research Foundation Fellowship from 1996 to 2000. She is a Senior Member of the IEEE and a member of IEEE-HKN and ACM.
Dr. Daniel Tauritz is Associate Professor and Associate Chair of Undergraduate Studies in the Department of Computer Science at Missouri S&T, University Collaboration Scientist at Los Alamos National Laboratory, Contract Scientist at Sandia National Laboratories, Founding Director of the Natural Computation Laboratory, Founding Academic Director of the LANL/S&T Cyber Security Sciences Institute, and Research Investigator in the Intelligent Systems Center. He received a Ph.D. in Computer Science from Leiden University in 2002. His primary research interests are the Automated Design of Algorithm employing Hyper-Heuristics, and Evolutionary Computing, in particular their use as robust solvers for real-world problem solving, with an emphasis on applications in the cyber domain, ranging from adversarial models in cyber (physical) security to evolving graph algorithms to the automated design of SAT solver heuristics. He was granted a US patent for an artificially intelligent rule-based system to assist teams in becoming more effective in improving the communication process between team members.
Dr. Hai-Lung Tsai received his Ph.D. degree in 1984 in Mechanical Engineering from the University of California–Berkeley. After working with General Motors Research Laboratories, Warren, Michigan, in 1986 he joined the University of Missouri–Rolla (now Missouri University of Science and Technology) and is currently Professor of Mechanical Engineering and Director of Laser¿Based Manufacturing Laboratory. Dr. Tsai has authored or co-authored of 230 referred papers including 111 journal articles and 119 conference papers, 4 book chapters, and 7 patents. He has given numerous seminars/talks in national/international conferences, universities, and industry. Dr. Tsai, a Fellow of ASME, is the recipient of many professional awards/honors, including the Missouri S&T Faculty Research Award (2011); ISC Distinguished Investigator Award (2010); AWS Adams Memorial Membership Award (2010); Missouri S&T Letter of Commendation for Teaching Excellence (2010); UMR Letter of Commendation for Teaching Excellence (1989, 1998, 2007); ASME/HP Best Paper Award (2008); MCASTA Distinguished Scholar Award (2005); UMR AMAE Faculty Excellence Award (1999); AFS Best Paper Award (1992, 1996, 1997); ASM Marcus A. Grossmann Young Author Award (1995); UMR Outstanding Teaching Award (1990); Pi Tau Sigma Outstanding Teacher of the Year (1990); USAF/UES Summer Fellow (1990) and NSF Research Initiation Award (1988).
Dr. Tsai is the recipient of Changjiang Distinguished Chair Professorship at Beijing Institute of Technology from the Ministry of Education, China (2008). His current research interest includes welding and joining, laser small hole drilling, laser micromachining of functional microdevices, fabrication of nanoparticles and nanostructures for SERS, and multiscale multi physics modeling.
Dr. Xiaodong Yang is an Assistant Professor of Mechanical Engineering at Missouri S&T. Dr. Yang received his Ph.D. degree in Mechanical Engineering from Columbia University in 2009. Dr. Yang's research interests include optical materials and devices in nanophotonics and plasmonics; physics and applications of optical meta materials; nano scale optomechanics, optical nanoelectromechanical systems (NEMS); integrated optofluidic devices and optical sensors; photon management for solar energy harvesting; optical device micro-/nano-fabrication. Details about his current research and contact information can be found at http://web.mst.edu/~yangxia.
Dr. Zhaozheng Yin is an Associate Professor of Computer Science. He received his Ph.D. degree in the Computer Science and Engineering from the Pennsylvania State University in 2009 and joined Missouri S&T in 2011. Dr. Yin’s research interests are in the fields of computer vision, machine learning, and biomedical image processing. In particular, he has been working on segmenting, detecting, tracking and recognizing objects in natural and biomedical imagery, with applications in video scene understanding and biomedical discovery. His group won CVPR Best Doctoral Spotlight Award (2009), MICCAI Young Scientist Award/Runner-Ups (2010, 2012, 2015). He received NSF CAREER award in 2014 and has been an area chair of MICCAI2015, WACV2016, CVPR2017 and WACV2018.
Dr. Maciej J. Zawodniok graduated from the Silesian University of Technology with a Master of Science degree in Computer Science in 1999 and received a Ph.D. degree in Computer Engineering from the University of Missouri-Rolla in 2006. Since 2008, he is at Missouri University of Science and Technology, where currently he is an Associate Professor in Computer Engineering and Assistant Director of NSF I/UCRC on Intelligent Maintenance Systems. Dr. Zawodniok's research focuses on adaptive and energy-efficient protocols for wireless networks, network-centric systems, network security, cyber-physical and embedded systems with applications to manufacturing and maintenance.
Dr. Yahong Rosa Zheng received the B.S. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 1987, and the M.S. degree from Tsinghua University, Beijing, China, in 1989, both in electrical engineering. She received the Ph.D. degree from the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada, in 2002. She was an NSERC Postdoctoral Fellow from Jan. 2003 to April 2005 at the University of Missouri-Columbia. In fall 2005, she joined the Department of Electrical and Computer Engineering at the Missouri University of Science and Technology where, currently, she is a professor. Her research interests include underwater cyber-physical systems, digital signal processing, wireless communications, and wireless sensor networks.
Dr. Yahong Rosa Zheng has served as a Technical Program Committee (TPC) member and symposium co-chair for many IEEE international conferences, including IEEE Vehicular Technology Conference , IEEE GlobeCom, and IEEE ICC, and IEEE Wireless Communications and Networking Conference, etc. She also served as an Associate Editor for IEEE Transactions on Wireless Communications for 2006-2008 and IEEE Transactions on Vehicular Technology for 2008-2016. She is currently Associate Editor for IEEE Journal of Oceanic Engineering. She is the recipient of an NSF CAREER award in 2009. She has been a Fellow of the IEEE since 2015.
Dr. Venkat Allada is Vice Provost for Graduate Studies and a Professor in the Engineering Management & Systems Engineering Department at the Missouri University of Science and Technology (Missouri S&T), Rolla, Missouri. He got his Ph.D. in Industrial Engineering from the University of Cincinnati in 1994. He joined Missouri University of Science and Technology faculty in 1994. His teaching and research interests include intelligent design and manufacturing, product platforms, sustainable product engineering, design for reuse, remanufacturing, and recycle, and lean enterprise systems. His work has been funded by several agencies and companies including the National Science Foundation (NSF), National Institute of Science and Technology (NIST), Lucent Technologies, AT&T, Halliburton, Ford Motor Company, Missouri Enterprise, and Boeing. He served as a Boeing A. D. Welliver Faculty Summer Fellow at Boeing facilities in 2001. He is the recipient of the Outstanding Young Manufacturing Engineer award from the Society of Manufacturing Engineers (SME), Outstanding New Faculty award from the American Society for Engineering Education (ASEE), and numerous Faculty Excellence Awards at Missouri S&T. He has more than 100 published journal and conference articles including a Best Paper Award at the 2000 American Society of Mechanical Engineers (ASME) International DETC- Design for Manufacturing Conference.
Dr. Egemen Cetinkaya is an Assistant Professor in the Electrical & Computer Engineering Department at Missouri University of Science and Technology. He received his Ph.D. in Electrical Engineering from the University of Kansas in 2013. He received his B.S. degree in Electronics Engineering from Uludag University (Bursa, Turkey) in 1999 and the M.S. degree in Electrical Engineering from the University of Missouri-Rolla in 2001. He held various positions at Sprint as a support, system, and design engineer from 2001 until 2008. His research interests are in resilient networks. He is a member of the IEEE Communications Society, ACM SIGCOMM, and Sigma Xi.
Dr. Lianyi Chen is an assistant professor in the Department of Mechanical and Aerospace Engineering and Department of Materials Science and Engineering at Missouri University of Science and Technology. He received his Ph.D. degree in Materials Science and Engineering from Zhejiang University in 2009. He worked in the Department of Mechanical Engineering and Materials Science Program at the University of Wisconsin-Madison (UW-Madison) as a Research Associate from 2010 to 2013. He was a Postdoctoral Scholar in the Department of Mechanical and Aerospace Engineering at UCLA from 2013-2014. His research areas are advanced manufacturing (additive manufacturing, nanomanufacturing, smart manufacturing), advanced materials (metal matrix nanocomposites, metallic glasses, lightweight metals) and synchrotron radiation-based in-situ microstructure characterization during heating/loading. He has published more than 50 peer-reviewed journal papers (including 1 in Nature, 1 in Nature Communications, 2 in Physical Review Letters, 4 in Acta Materialia), which were recognized over 1000 times in citations. He is also an inventor with 7 patents.
Dr. Steven M. Corns is an Assistant Professor of Engineering Management and Systems Engineering at Missouri University of Science and Technology. He received his Ph.D. degree in Mechanical Engineering from Iowa State University in 2008. Dr. Corns has been the university research lead for the U.S. Army Corps of Engineers Virtual Forward Operating Base project, contributing to the development of the model-based solution approaches and the introduction of heuristic solvers. He is also currently leading the biomedical challenge team and serves as a member of the INCOSE Model-Based Systems Engineering leadership team. In this capacity, he has worked with a team of INCOSE professionals in the development of a general framework for the design, approval, and fielding of medical devices in an effort to streamline the time to market these products. Dr. Corns research interest includes evolutionary computation applications, the mechanics of information transfer in evolutionary algorithms, and model-based approaches for complex systems design and analysis.
Dr. David Enke received his Ph.D. in Engineering Management in 1997, his M.S. in Engineering Management in 1994, and his B.S. in Electrical Engineering in 1990, all from the Missouri University of Science and Technology (formerly the University of Missouri - Rolla). Prior to returning to Missouri S&T as Professor and Chair of Engineering Management and Systems Engineering (EMSE) in the spring of 2012 (acting as chair until July 2015), Professor Enke was an Associate Professor and the H. Michael and Laurie Krimbill Faculty Fellow of Finance at The University of Tulsa. He was previously on the faculty of Missouri S&T from 2000 to 2007 as an Assistant/Associate Professor within the EMSE department. Professor Enke joined the faculty of Binghamton University in 1999 and was on the faculty at the University of Michigan - Dearborn during 1998. He was employed for six years by McDonnell Douglas Corporation prior to his graduate studies. Professor Enke is currently an area editor for the journal The Engineering Economist and was a past Co-Chair of the Artificial Neural Networks in Engineering Conference.
Dr. Yanjie Fu received his Ph.D. degree in Information Technology from Department of Management Science and Information Systems, Rutgers University in 2016, the B.E. degree in Computer Science from University of Science and Technology of China in 2008, and the M.E. degree in Computer Engineering, Chinese Academy of Sciences in 2011. He is currently an Assistant Professor at the Missouri University of Science and Technology. His research interests include data mining and big data analytics. He has research experience in industry research labs, such as Microsoft Research Asia, Huawei Research Labs, and IBM Thomas J. Watson Research Center. He has published prolifically in refereed journals and conference proceedings, such as IEEE TKDE, ACM TKDD, IEEE TMC, Decision Support Systems, ACM SIGKDD, IEEE ICDM, and SIAM SDM. Dr. Fu's general interests are data mining and big data analytics, especially (1) how analytical approaches alleviate information overload, heterogeneity, and asymmetry and (2) what role modeling regulations play in exploring the correlations among big data. His recent research focuses on applying collective learning, probabilistic modeling, and text mining on big data problems including urban computing, human mobility modeling, wireless intelligence, recommender systems, consumer analytics, and health care.
Dr. Jie Gao is an Assistant Professor of Mechanical Engineering at Missouri S&T. Dr. Gao received her Ph.D. degree in Applied Physics from Columbia University in 2012. Dr. Gao's research interests include light-matter interactions in nanophotonics, plasmonics, and metamaterials; nanofabrication and nanomanufacturing of optical devices; optical sensors; quantum communication and quantum information processing; solar energy harvesting and light emitting devices. Details about her current research and contact information can be found at http://web.mst.edu/~gaojie.
Dr. Abhijit Gosavi is an Associate Professor in the Department of Engineering Management and Industrial Engineering. He obtained a Ph.D. in Industrial Engineering from the University of South Florida in 1999, an M. Tech in Mech. Engineering from the Indian Institute of Technology, Madras in 1995, and BS in Mech. Engineering from the Jadavpur University in 1992. His research interests are in simulation-based optimization, Markov control, and applications in production and service systems. Currently, he serves as the Managing Editor of the Engineering Management Journal. He is also the author of the Springer book, Simulation-Based Optimization, which has been adopted as a textbook in leading universities across the U.S. He has published more than 30 articles in national and international journals, including in premier journals such as Management Science, Automatica, Machine Learning, INFORMS Journal on Computing, and Journal of Retailing. Over the years, his research has been supported by the Department of Defense, the VA Hospitals, and the National Science Foundation.
Dr. Zhishan Guo is an assistant professor in the Department of Computer Science at the Missouri University of Science and Technology. He received the Ph.D. degree in Computer Science at the University of North Carolina at Chapel Hill in 2016. Prior to that, he received the Bachelor’s degree in Computer Science and Technology from Tsinghua University (China) in 2009 and the M.Phil. Degree in Mechanical Automation and Engineering from the Chinese University of Hong Kong in 2011. His research interests include real-time scheduling, cyber-physical systems, and neural networks and their applications.
Dr. Jie Huang is an Assistant Professor of Electrical and Computer Engineering. He received his Ph.D. degree in Electrical Engineering from Clemson University in 2015. Dr. Huang’s research interest mainly focuses on the development of optical and microwave micro/nano devices, sensors and instrumentation for applications in energy, intelligent infrastructures, clean-environment, and biomedical sensing. In particular, he has been working on microwave-photonics based fiber optic sensors, distributed fiber optic sensors, femto-second laser micro-machining, and coaxial cable sensors and devices for applications in harsh environment sensing, structural health monitoring, and biomedical imaging.
Dr. Wei Jiang is an assistant professor at the Department of Computer Science of Missouri University of Science and Technology. He received the Bachelor's degrees in both Computer Science and Mathematics from the University of Iowa, Iowa City, Iowa, in 2002. He received the Master's degree in Computer Science and the Ph.D. degree from Purdue University, West Lafayette, IN in 2004 and 2008 respectively. His research interests include privacy-preserving data mining, data integration, privacy issues in federated search environment, text sanitization, and applied cryptography.
Dr. Edward Kinzel received his B.S., M.S., and Ph.D. in Mechanical Engineering from Purdue University. His graduate work was centered on laser based micro/nano fabrication including Laser Forward Transfer and Selective Laser Sintering of electronics as well as near-field direct-write nano lithography with sub-100 nm resolution. He was a postdoc in the Infrared Systems Laboratory (UCF:CREOL/UNCC) focusing on the design and application IR antennas, FSS/metasurfaces and their observation with Near Field Scanning Optical Microscopy. He is currently an assistant professor in the Mechanical and Aerospace Engineering Department at the Missouri University of Science and Technology. His current research includes practical manufacturing of IR/visible FSS/metasurfaces for controlling thermal transport, sensing and energy harvesting (2016 NSF CAREER Award), optical based metrology for manufacturing, and additive manufacturing of glass for optics.
Dr. Dincer Konur is an Assistant Professor in the Engineering Management and Systems Engineering Department at the Missouri University of Science and Technology. He holds a Ph.D. and an M.S. in Industrial and Systems Engineering from the University of Florida and a B.S. in Industrial Engineering from Bilkent University, Ankara Turkey. He has worked as a post-doctorate research fellow at the Intermodal Freight Transportation Institute at the University of Memphis. His research interests include applied operations research/optimization and game theory in the fields of Supply Chain Management, Logistics and Distribution, Transportation, and Systems Engineering. He has conducted research on various supply chain and logistics problems, environmental inventory control, railroad, and work-zone safety, and military system of systems architecting.
Dr. Hamidreza Modares is an Assistant Professor in the Department of Electrical and Computer Engineering. His work on the design of feedback controllers using reinforcement learning resulted in several journals and conference papers. His main research interests include cyber-physical systems, resilient control, machine learning, distributed control, robotics, and renewable energy microgrids. He is an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. He has received the best paper award from 2015 IEEE International Symposium on Resilient Control Systems, and Stelmakh outstanding student research award from the department of electrical engineering, UTA, 2015. He has over 40 publications in refereed journals and conference proceedings and three book chapters.
Dr. Heng Pan is currently an Assistant Professor at Department of Mechanical and Aerospace Engineering at Missouri S&T. He received his Ph.D. degree from Department of Mechanical Engineering at UC-Berkeley at 2009. Dr. Pan’s research interests include additive manufacturing, electronics, and photonics manufacturing, thermal/laser assisted manufacturing, laser annealing and crystallization, high-throughput and low-cost micro/nanomanufacturing, solution processing of nanomaterials, molecular dynamics simulation, transport phenomena in nanomanufacturing processes.
Dr. Jonghyun Park is currently an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Missouri S&T. He received his Ph.D. in 2009 in the Mechanical Engineering from the University of Michigan at Ann Arbor. Dr. Park's research interests are in advanced lithium ion battery, beyond lithium ion battery, energy storage systems, renewable energy systems, grid energy storage systems, energy harvesting systems, nano-/macro-mechanics of materials, self-assembly of nanoparticles, nanostructures, multi physics/multiscale experiment and simulations, and biomedical devices.
Dr. Ruwen Qin is an Associate Professor in the Department of Engineering Management and Systems Engineering. She received her Ph.D. degree in Industrial Engineering and Operations Research from the Pennsylvania State University and her M.S. and B.S. degrees both from Beijing University of Aeronautics and Astronautics. Her areas of research are stochastic modeling and dynamic optimization for largely uncertain, complex systems. She applies her research work to power systems, transportation, and smart manufacturing.
Dr. Pourya Shamsi earned his B.Sc. and Ph.D. degrees in Electrical Engineering from the University of Tehran, Iran in 2007, and the University of Texas at Dallas in 2012, respectively. He is currently an Assistant Professor of Electrical Engineering at Missouri University of Science and Technology. His research interests include but are not limited to microgrids, distributed generation, reliability, modeling, VHF UHF SHF switching converters, and motor drives. He has six years of industrial experience.
Dr. Yun Seong Song received his B.S. in Mechanical Engineering and B.S.E in Computer Science and Engineering from Seoul National University in 2004, his M.S. in Mechanical Engineering from Carnegie Mellon University in 2006, and his Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 2012. He was a postdoc in the Department of Mechanical Engineering at École Polytechnique Fédérale de Lausanne in 2012-13, and a postdoc in the Department of Biomedical Engineering at Georgia Institute of Technology and Emory University in 2014-16. He was also a lecturer in the Department of Mechanical Engineering at Georgia Institute of Technology. He was the recipient of the Bennett Award for Outstanding Thesis from Carnegie Mellon University, as well as a two-time recipient of the Samsung Scholarship for graduate studies. Dr. Song’s work and interest include physical human-robot interaction and rehabilitation robotics, particularly in their applications to understanding and assisting human movement.
Dr. Zeyi Sun is an Assistant Professor in the Engineering Management and Systems Engineering Department at the Missouri University of Science and Technology. He received his Ph.D. degree in Industrial Engineering and Operations Research from the University of Illinois at Chicago in 2015, M. Eng. degree in Manufacturing from the University of Michigan, Ann Arbor in 2010, and B. Eng degree in Material Science and Engineering from Tongji University in China in 2002. His research interests include energy efficiency management and electricity demand response for sustainable manufacturing systems, onsite microgrid with renewable sources for manufacturing, intelligent maintenance for manufacturing systems, system modeling for biofuel manufacturing, and energy modeling for additive manufacturing.