David Goldsman

David Goldsman

David Goldsman

Director of Master's Recruiting and Admissions
Coca-Cola Foundation Professor

David Goldsman is the Director of Master's Recruiting and Admissions and Coca-Cola Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He received his Ph.D. in 1984 from the School of Operations Research and Industrial Engineering at Cornell University. He also holds degrees from Syracuse University in Mathematics, Physics, and Computer and Information Sciences. He has been a Visiting Professor or Scientist at Cornell University, Syracuse University, The University of North Carolina–Chapel Hill, AT&T Bell Laboratories, NEC USA, The Middle East Technical University, Northwestern University, The University of Oklahoma, Sabancı University, Boğaziçi University, Özyeğin University, Monterrey Tech, and The University of the Andes. 

Dave's research interests include simulation output analysis, statistical ranking and selection methods, and medical and humanitarian applications of operations research. He has published extensively, and has over 75 publications in such bellwether journals as Management Science, Operations Research, Operations Research Letters, IIE Transactions, and Sequential Analysis. He has also co-authored about 20 book chapters as well as the texts Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons, with Bob Bechhofer and Tom Santner, and Probability and Statistics in Engineering (4th edition), with Bill Hines, Doug Montgomery, and Connie Borror. 

Dave is an Associate Editor for Sequential Analysis and the Journal of Simulation. He was previously the Simulation Department Editor for IIE Transactions and an Associate Editor for Operations Research Letters. He was also the Associate Editor for the Proceedings of the 1992 Winter Simulation Conference (WSC), the Program Chair for the 1995 WSC, and the IIE Board Representative to the WSC (2001–2009). Further, he has served in various elected positions for the INFORMS Simulation Society, including President. He was the Chair of the INFORMS Public Awareness Committee from 2002–2008, and has engaged in substantial outreach to high school and community college students and teachers for over 25 years. 

Dave and Christos Alexopoulos won the INFORMS Simulation Society's 2007 Outstanding Simulation Publication Award for their paper “To Batch or not to Batch?” which appeared in ACM TOMACS in 2004. In addition, Dave, Christos, Claudia Antonini, and Jim Wilson won the IIE Transactions 2010 Best Paper Prize in Operations Engineering and Analysis for their 2009 paper “Area Variance Estimators for Simulation Using Folded Standardized Time Series.” Dave received the INFORMS Simulation Society's Distinguished Service Award in 2002. He also received a Fulbright fellowship in 2006 to lecture at Boğaziçi and Sabancı Universities in Istanbul, Turkey. Dave is a Fellow of the Institute of Industrial Engineers. 

Dave is an active consultant, having undertaken various projects in the healthcare, airline, automotive, fast food, hotel, and banking industries, among others.

sman@gatech.edu

404.894.2365

Office Location:
Groseclose 433

Personal Website


IRI Connections:

Vidya Muthukumar

Vidya Muthukumar

Vidya Muthukumar

Assistant Professor

vmuthukumar8@gatech.edu

ECE Profile Page

  • Personal Website
  • Google Scholar

    Research Focus Areas:
    • Machine Learning
    Additional Research:
    Statistical signal processingGame theorySequential decision-making

    IRI Connections:

    Roshan Joseph

    Roshan Joseph

    Roshan Joseph

    A. Russell Chandler III Chair
    Professor

    Roshan Vengazhiyil Joseph is a A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

    Dr. Joseph's research interests are in the broad areas of applied and computational statistics. A major focus of his research is in developing novel data analytic methods for solving complex engineering problems. He has several years of consulting experience in solving quality-related problems in industries.

    Dr. Joseph's honors include Distinguished Dissertation Award from the University of Michigan in 2003, CAREER Award from National Science Foundation in 2005, Jack Youden Prize from ASQ in 2005, Coca-Cola Junior Chair Professorship from ISYE in 2008, Best Paper Award from IIE Transactions in 2009, Franz Edelman Laureate from INFORMS in 2017, Statistics in Physical & Engineering Sciences Award from ASA in 2019, SPAIG Award from the ASA in 2020, and Lloyd S. Nelson Award from ASQ in 2021. He is a Fellow of ASA (elected in 2012) and ASQ (elected in 2020). Currently he is serving as the Editor of Technometrics (2020-2022).

    Dr. Joseph received a Ph.D. degree in Statistics from the University of Michigan, Ann Arbor in 2002 and holds an M.Tech. degree in Quality, Reliability, and Operations Research and a B.Tech. degree in Production Engineering and Management. 

    roshan@gatech.edu

    404.894.0056

    Office Location:
    Groseclose 342

    ISyE Profile Page

  • Personal Website
  • Google Scholar

    Research Focus Areas:
    • Big Data
    Additional Research:
    StatisticsExperimental DesignBayesian ComputationUncertainty QuantificationQuality Engineering

    IRI Connections:

    Juba Ziani

    Juba Ziani

    Juba Ziani

    Assistant Professor

    Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. Prior to this, Juba was a Warren Center Postdoctoral Fellow at the University of Pennsylvania, hosted by Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba completed his Phd at Caltech in the Computing and Mathematical Sciences department, where he was advised by Katrina Ligett and Adam Wierman.

    Juba studies the optimization, game theoretic, economic, ethical, and societal challenges that arise from transactions and interactions involving data. In particular, his research focuses on the design of markets for data, on data privacy with a focus on "differential privacy", on fairness in machine learning and decision-making, and on strategic considerations in machine learning.

    jziani3@gatech.edu

    Office Location:
    Room 343 | Groseclose | 765 Ferst Dr NW | Atlanta, GA

    ISyE Profile Page

  • Personal Webpage
  • Google Scholar

    Research Focus Areas:
    • Big Data
    • Machine Learning
    • Security and Privacy of AI
    Additional Research:
    Game Theory Mechanism Design Markets for Data Differential Privacy Ethics in Machine Learning Online Learning

    IRI Connections:

    Diego Cifuentes

    Diego Cifuentes

    Diego Cifuentes

    Assistant Professor

    Diego Cifuentes is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research centers around the development of mathematical optimization methods, and the application of these methods in engineering areas such as machine learning, statistics, robotics, power systems, and computer vision. He also works in the theoretical analysis of optimization methods, leveraging geometric and combinatorial information to improve efficiency and robustness. Prior to joining ISyE, he served as an applied math instructor in MIT and as a postdoctoral researcher in the Max Planck Institute for Mathematics in the Sciences.

    He earned his Ph.D. and M.S. in Electrical Engineering and Computer Science from MIT, and his B.S. in Mathematics and B.S. in Electronics Engineering from Universidad de los Andes.

    diego.cifuentes@isye.gatech.edu

    Office Location:
    Groseclose 326

    ISyE Profile Page

    Google Scholar

    Research Focus Areas:
    • Algorithms & Optimizations
    • Factory Information Systems
    • Machine Learning
    • Robotics
    • System Design & Optimization
    Additional Research:
    Mathematical optimization methodsStatisticsComputer vision

    IRI Connections:

    Xiaoming Huo

     Xiaoming Huo

    Xiaoming Huo

    Associate Director for Research, IDEaS
    Professor
    Executive Director, TRIAD (Transdisciplinary Research Institute for Advancing Data Science)
    BBISS Co-lead: Microclimate Monitoring and Prediction

    Xiaoming Huo is an A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. 

    xiaoming.huo@isye.gatech.edu

    Personal Website

  • BBISS Initiative Lead Project -Microclimate Monitoring and Predication at Georg…
  • Research Focus Areas:
    • Artificial Intelligence (AI)
    • Big Data

    IRI Connections:

    Jianjun Shi

    Jianjun Shi

    Jianjun Shi

    Carolyn J. Stewart Chair and Professor

    Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992. Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 40 Ph.D. graduates, 27 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 180 papers. He has served as PI and co-PI for projects totaling more than 25 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies. The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts. 

    Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers. He also served as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering (2007-2017), editor of Journal of System Science and Complexity, and advisory editor of Journal of Quality Technology and Quantitative Management (QTQM). He is a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of Institute of Operations Research and the Management Science (INFORMS), a Fellow of Society of Manufacturing Engineering (SME), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE) of the USA. 

    Dr. Shi received various awards for his research and teaching, including the George Box Medal (2022), ASQ Walter Shewhart Medal (2021), The S. M. Wu Research Implementation Award (2021), ASQ Brumbaugh Award (2019), The Horace Pops Medal Award (2018), IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), Forging Achievement Award from Forging Industry Educational and Research Foundation (2007), Monroe-Brown Foundation Research Excellence Award (2007), the 1938E Award (1998) at The University of Michigan, and NSF CAREER Award (1996).

    jshi33@isye.gatech.edu

    404.385.3488

    Office Location:
    ISyE Main Building, Room 109

    Website

    Research Focus Areas:
    • Advanced Manufacturing
    • Artificial Intelligence (AI)
    • Factory Information Systems
    • System Informatics and Control
    Additional Research:
    System informatics and control

    IRI Connections:

    Nicoleta Serban

    Nicoleta Serban

    Nicoleta Serban

    Professor
    Virginia C. and Joseph C. Mello Professor

    Nicoleta Serban is the Peterson Professor of Pediatric Research in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

    Dr. Serban's most recent research focuses on model-based data mining for functional data, spatio-temporal data with applications to industrial economics with a focus on service distribution and nonparametric statistical methods motivated by recent applications from proteomics and genomics. 

    She received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes from the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University.

    Dr. Serban's research interests on Health Analytics span various dimensions including large-scale data representation with a focus on processing patient-level health information into data features dictated by various considerations, such as data-generation process and data sparsity; machine learning and statistical modeling to acquire knowledge from a compilation of health-related datasets with a focus on geographic and temporal variations; and integration of statistical estIMaTes into informed decision making in healthcare delivery and into managing the complexity of the healthcare system.

    nicoleta.serban@isye.gatech.edu

    404-385-7255

    Office Location:
    Groseclose 438

    Departmental Bio

  • Laboratory Site
  • Research Focus Areas:
    • Platforms and Services for Socio-Technical Frontier
    Additional Research:
    Statistics; Data Mining; Health Analytics; Health Systems; Enterprise Transformation

    IRI Connections:

    Spyros Reveliotis

    Spyros  Reveliotis

    Spyros Reveliotis

    Professor; School of Industrial & Systems Engineering

    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.

    spyros@isye.gatech.edu

    404.894.6608

    Office Location:
    Groseclose, 325

    ISyE Page

    Google Scholar

    Research Focus Areas:
    • Collaborative Robotics
    Additional Research:
    Discrete Event Systems; Scheduling Theory; Markov Decision Processes; Machine Learning

    IRI Connections:

    Dima Nazzal

    Dima Nazzal

    Dima Nazzal

    Executive Director of Academic Administration and Student Experience

    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.

    dima.nazzal@gatech.edu

    404.385.0272

    Office Location:
    Groseclose, 210

    Website

    Research Focus Areas:
    • Advanced Manufacturing
    • Energy
    • Logistics
    • Supply Chain
    Additional Research:
    Modeling and analysis of discrete manufacturing flow systems using stochastic OR methods

    IRI Connections: