Fumin Zhang

Fumin Zhang

Fumin Zhang

Professor; School of Electrical and Computer Engineering

Dr. Fumin Zhang joined Georgia Tech's School of Electrical and Computer Engineering in 2007 as an assistant professor. He received a Ph.D. degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His B.S. and M.S. degrees, both in electrical engineering, are from Tsinghua University in Beijing. Fumin Zhang's research focuses on mobile sensor networks that demonstrate bio-inspired long duration autonomy. He has contributed to the co-design of control, sensing, and communication algorithms for mobile sensing agents that collect information to model spatial temporal stochastic fields. An application domain of his research has been marine robots for environmental sensing and data collection. He has established a theoretical framework for the investigation of battery supported Cyber-Physical Systems. He also developed a co-design methodology for real-time scheduling, realtime control, and battery management. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics and is the associate editor for IEEE Journal of Oceanic Engineering, Robotics and Automation Letters, IEEE Transactions on Automatic Control, and IEEE Transactions on Control of Networked Systems. He also serves as the deputy editor-in-chief for the Cyber-Physical Systems Journal.

fumin@ece.gatech.edu

404.385.2751

Office Location:
TSRB 406

ECE Page

Google Scholar

Research Focus Areas:
  • Autonomy
Additional Research:
Mobile Sensor Networks; Underwater and Marine Robotics; Motion Planning in Complex Environments; Battery Supported Cyber-Physical Systems; Geometric and Nonlinear Systems and Control

IRI Connections:

Magnus Egerstedt

Magnus Egerstedt

Magnus Egerstedt

Dean of The Henry Samueli School of Engineering; UC Irvine

Dr. Magnus Egerstedt is Dean of The Henry Samueli School of Engineering at the University of California, Irvine and has previously served as the Executive Director for the Institute for Robotics and Intelligent Machines at Georgia Tech. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of multi-robot systems. Magnus Egerstedt is a Fellow of the IEEE and a Foreign member of the Royal Swedish Academy of Engineering Science, and he has received a number of teaching and research awards, including the Ragazzini Award from the American Automatic Control Council, the Outstanding Doctoral Advisor Award and the HKN Outstanding Teacher Award from Georgia Tech, the Alumni of the Year Award from the Royal Institute of Technology, and the CAREER Award from the U.S. National Science Foundation.

magnus@gatech.edu

404 894-4468

Personal Page

Google Scholar

Research Focus Areas:
  • Autonomy
Additional Research:
Control Theory; Robotics

IRI Connections:

Kok-Meng Lee

Kok-Meng Lee

Kok-Meng Lee

Professor; School of Mechanical Engineering
Director; Advanced Intelligent Mechatronics Research Laboratory (AIMRL)

In 1979 Dr. Lee conducted radiation research as an undergraduate assistant at the State University of New York at Buffalo, where he modeled and simulated the nongray particulate radiation in an isothermal cylindrical medium. At MIT, he designed high-performance fluidic amplifiers and fluid signal transmission systems and investigated analytically and experimentally the effects of temperature changes on fluid power control systems for flight backup control applications. Dr. Lee began at Tech in 1985 as an Assistant Professor.

kokmeng.lee@me.gatech.edu

404.894.7402

Office Location:
MARC 474

ME Page

  • Advanced Intelligent Mechatronics Research Laboratory (AIMRL)
  • Google Scholar

    Research Focus Areas:
    • Collaborative Robotics
    Additional Research:
    dynamics and control; manufacturing automation; mechatronics; actuators; machine vision

    IRI Connections:

    Ayanna Howard

    Ayanna  Howard

    Ayanna Howard

    Dean of the College of Engineering; The Ohio State University

    Accomplished roboticist, entrepreneur and educator Ayanna Howard, PhD, became dean of the College of Engineering on March 1, 2021. Previously she was chair of the Georgia Institute of Technology School of Interactive Computing in the College of Computing, as well as founder and director of the Human-Automation Systems Lab (HumAnS).

    Her career spans higher education, NASA’s Jet Propulsion Laboratory, and the private sector. Dr. Howard is the founder and president of the board of directors of Zyrobotics, a Georgia Tech spin-off company that develops mobile therapy and educational products for children with special needs. Zyrobotics products are based on Dr. Howard’s research.

    Among many accolades, Forbes named Dr. Howard to its America's Top 50 Women In Tech list. In May 2021, the Association for Computing Machinery named her the ACM Athena Lecturer in recognition of fundamental contributions to the development of accessible human-robotic systems and artificial intelligence, along with forging new paths to broaden participation in computing.

    Dr. Howard also is a tenured professor in the college’s Department of Electrical and Computer Engineering with a joint appointment in Computer Science and Engineering.

    ah260@gatech.edu

    Dean Howard | The Ohio State University

    Google Scholar

    University, College, and School/Department
    Research Focus Areas:
    • Collaborative Robotics
    Additional Research:
    Socially Assistive Robotics; Social Robots; Human-Robot Interaction; Robotics; Artificial Intelligence

    IRI Connections:

    Fan Zhang

    Fan Zhang

    Fan Zhang

    Assistant Professor; School of Mechanical Engineering

    Dr. Fan Zhang received her Ph.D. in Nuclear Engineering and M.S. in Statistics from UTK in 2019. She is the recipient of the 2021 Ted Quinn Early Career Award from the American Nuclear Society and joined the Woodruff School in July, 2021. She is actively involved with multiple international collaborations on improving nuclear cybersecurity through the International Atomic Energy Agency (IAEA) and the DOE Office of International Nuclear Security (INS). Dr. Zhang’s research primarily focuses on the cybersecurity of nuclear facilities, online monitoring & fault detection using data analytics methods, instrumentation & control, and nuclear systems modeling & simulation. She has developed multiple testbeds using both simulators and physical components to investigate different aspects of cybersecurity as well as process health management.

    fan.zhang@me.gatech.edu

    404.894.5735

    Office Location:
    Boggs 371

    iFAN Lab

  • ME Profile Page
  • Google Scholar

    Research Focus Areas:
    • AI for Security
    • Analytics and Prognostics Systems
    • Critcal Data Protection
    • Cyber-Physical Systems
    • Electrical Grid
    • Nuclear
    • Risk Management
    • Security and Privacy of AI
    • Threat Intelligence and Security Analytics
    Additional Research:
    Research interests include instrumentation & control, autonomous control, cybersecurity, online monitoring, fault detection, prognostics, risk assessment, nuclear system simulation, data-driven models, and artificial intelligence applications.  

    IRI Connections:

    Craig Tovey

    Craig Tovey

    Craig Tovey

    Professor; School of Industrial and Systems Engineering

    Craig Tovey is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He also co-directs CBID, the Georgia Tech Center for Biologically Inspired Design. 

    Dr. Tovey's principal research and teaching activities are in operations research and its interdisciplinary applications to social and natural systems, with emphasis on sustainability, the environment, and energy. His current research concerns inverse optimization for electric grid management, classical and biomimetic algorithms for robots and webhosting, the behavior of animal groups, sustainability measurement, and political polarization.  

    Dr. Tovey received a Presidential Young Investigator Award in 1985 and the 1989 Jacob Wolfowitz Prize for research in heuristics. He was granted a Senior Research Associateship from the National Research Council in 1990, was named an Institute Fellow at Georgia Tech in 1994, and received the Class of 1934 Outstanding Interdisciplinary Activity Award in 2011. In 2016, Dr. Tovey was recognized by the ACM Special Interest Group on Electronic Commerce with the Test of Time Award for his work as co-author of the paper “How Hard Is It to Control an Election?” He was a 2016 Golden Goose Award recipient for his role on an interdisciplinary team that studied honey bee foraging behavior which led to the development of the Honey Bee Algorithm to allocate shared webservers to internet traffic. 

    Dr. Tovey received an A.B. in applied mathematics from Harvard College in 1977 and both an M.S. in computer science and a Ph.D. in operations research from Stanford University in 1981. 

    craig.tovey@isye.gatech.edu

    404.894.3034

    Office Location:
    Groseclose 420

    ISyE Profile Page

    University, College, and School/Department
    Research Focus Areas:
    • Algorithms & Optimizations

    IRI Connections: