Ye Zhao

Ye Zhao's profile picture
ye.zhao@me.gatech.edu
ME Page

Dr. Ye Zhao started as an Assistant Professor at the George W. Woodruff School of Mechanical Engineering in January 2019. Previously he was a Postdoctoral Fellow at Harvard University and obtained his Ph.D. from UT Austin, where he worked on robust motion planning and decision-making for robot manipulation and locomotion problems with frictional contact behaviors. At Georgia Tech, he directs the Laboratory for Intelligent Decision and Autonomous Robots. His research interests lie broadly in planning, control, decision-making, and learning algorithms of highly agile, contact-rich, and human-cooperative robots. Dr. Zhao is especially interested in computationally efficient optimization algorithms and formal methods for challenging robotics problems with formal guarantees on robustness, safety, autonomy, and real-time performance. The LIDAR group aims at pushing the boundary of robot autonomy, intelligent decision, robust motion planning, and symbolic planning. The long-term goal is to devise theoretical and algorithmic underpinnings for collaborative humanoid and mobile robots operating in unstructured and unpredictable environments while working alongside humans. Robotic applications primarily focus on agile bipedal and quadrupedal locomotion, manipulation, heterogeneous robot teaming, and mobile platforms for extreme environment maneuvering.

Assistant Professor; School of Mechanical Engineering
Phone
404.894.3061
Office
GTMI 437
Additional Research

Robotics; Formal Methods; Optimization; Robust Motion Planning; Control

Research Focus Areas
IRI And Role
Google Scholar
https://scholar.google.com/citations?hl=en&user=YkWi5xoAAAAJ
Laboratory for Intelligent Decision and Autonomous Robots

Nader Sadegh

Nader  Sadegh's profile picture
nader.sadegh@me.gatech.edu
ME Page

Dr. Sadegh's early research work was in the field of robotics and automation. His major contribution to this field was the development of a class of adaptive and learning controllers for nonlinear mechanical systems including robotic manipulators. This work, which evolved from his doctoral research, enables a robot to learn a repetitive task through practice, much like a human being, and without requiring a precise model. He later demonstrated that implementing this learning controller can significantly improve the performance of industrial robots without significantly increasing their cost or complexity, and has the potential to improve the accuracy, autonomy, and productivity of automated manufacturing systems. In addition to robotics, he developed a similar learning controller for speed regulation of copier photoreceptors as part of a project sponsored by the Xerox Corporation. Dr. Sadegh began at Tech in 1988 as an Assistant Professor.

Professor; School of Mechanical Engineering
Associate Director & Education Director; Robotics Ph.D. Program
Phone
404.894.8172
Office
GTMI, Room 475M
Additional Research

Controls; Robotics; AI; Data Analysis; Epidemiology

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=TS4freMAAAAJ&view_op=list_works&sortby=pubdate

Jonathan Rogers

Jonathan  Rogers's profile picture
jonathan.rogers@me.gatech.edu
ME Page

Jonathan Rogers joined the Georgia Tech faculty in Fall 2013 as an Assistant Professor of Mechanical Engineering. Prior to joining Georgia Tech, he was an Assistant Professor of Aerospace Engineering at Texas A&M University from 2011 to 2013.

Associate Professor; School of Mechanical Engineering
Phone
404.385.1600
Office
MRDC Building, Room 4503
Additional Research

Automation/Mechatronics; Robotics; applied dynamics; computational automation; nonlinear control and estimation

Research Focus Areas
IRI And Role

Kinsey Herrin

Kinsey  Herrin's profile picture
kinsey.herrin@me.gatech.edu
ME Page

Kinsey Herrin is a Senior Research Scientist in the Woodruff George W. Woodruff School of Mechanical Engineering. She supports a number of wearable robotics research efforts across Georgia Tech's campus and holds the ABC credential for a Certified Prosthetist/Orthotist. Kinsey is passionate about advancing state of the art technology available to individuals with physical challenges and amputations as well as the exploration of wearable technology to augment and enhance human performance. She was the former Clinical Liaison & Coordinator and academic faculty within the Georgia Tech MSPO program. She completed her residency training in orthotics and prosthetics at Children's Healthcare of Atlanta and the University of Michigan, respectively, and has over 10 years of experience working with and treating a wide variety of patients in clinical and research settings.

Principal Research Scientist; School of Mechanical Engineering
Phone
404.894.6269
Office
555 14th St Building
Additional Research

wearable technology to augment and enhance human performance.

Research Focus Areas
IRI And Role

Jun Ueda

Jun Ueda's profile picture
jun.ueda@me.gatech.edu
Biorobotics & Human Modeling Lab

Jun Ueda joined Georgia Tech in May 2008 as Assistant Professor. Before Georgia Tech, he was a Visiting Scholar and Lecturer at MIT, where he worked on the development and control of cellular actuators inspired by biological muscle. He developed compliant, large strain piezoelectric actuators and a robust control method called stochastic broadcast feedback. From 2002-2008 he was Assistant Professor at Nara Institute of Science and Technology in Japan, where he led a research group dedicated to dynamics and control in robotics, such as robot hand manipulation, tactile sensing, and power-assisting. From 1996 to 2002 and prior to obtaining his Ph.D, he worked at the Advanced Technology R&D Center of Mitsubishi Electric Corporation in Japan. Here he was involved in a variety of activities including disk drives, machine tools, and satellite tracking antennas. His Ph.D. work at Kyoto University was on the end-point control of a robot manipulator mounted on a non-rigid base. He studied feedback control robustness in terms of the coupling of the arm and base dynamics.

Professor, George W. Woodruff School of Mechanical Engineering
Director, Biorobotics & Human Modeling Lab
Phone
404.385.3900
Office
Love 219
Additional Research

Automation & Mechatronics; Bioengineering

IRI And Role
Google Scholar
https://scholar.google.com/citations?hl=en&user=vVdRxtUAAAAJ&view_op=list_works&sortby=pubdate

Maegan Tucker

Maegan Tucker 's profile picture
mtucker@gatech.edu
Personal Website

Maegan received her Ph.D. in Mechanical Engineering (ME) from the California Institute of Technology (Caltech) in May 2023. Prior, she also received a M.S. in ME from Caltech in 2019 and a B.S. in ME from Georgia Tech in 2017. After graduating with her Ph.D., Maegan conducted a brief postdoc at Caltech (May–August 2023), followed by a brief research position at Disney Research (September–December 2023). Generally speaking, her research interests lie at the intersection of control theory and human-robot interaction, with specific applications towards lower-limb assistive devices. Much of her research is centered around the question: “What is the right way to walk?”. In her free time, Maegan enjoys puzzles, playing video games, and the piano.

Maegan Tucker joined Georgia Tech as an assistant professor with joint appointments in the School of Electrical & Computer Engineering and the School of Mechanical Engineering in January 2024.

Assistant Professor
Additional Research

Lower-Body Assistive Devices Bipedal Locomotion Nonlinear Control Theory Human-Robot Interaction Preference-Based Learning Human Biomechanics

IRI And Role
Google Scholar
https://scholar.google.com/citations?hl=en&user=mgQTjk0AAAAJ&view_op=list_works&sortby=pubdate
LinkedIn ECE Profile Page

Kok-Meng Lee

Kok-Meng Lee's profile picture
kokmeng.lee@me.gatech.edu
ME Page

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.

Professor; School of Mechanical Engineering
Director; Advanced Intelligent Mechatronics Research Laboratory (AIMRL)
Phone
404.894.7402
Office
MARC 474
Additional Research

dynamics and control; manufacturing automation; mechatronics; actuators; machine vision

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=FkuBe4YAAAAJ&view_op=list_works&sortby=pubdate
Advanced Intelligent Mechatronics Research Laboratory (AIMRL)

Suhas Jain

Suhas Jain's profile picture
suhasjain@gatech.edu
Profile of Dr. Suhas Jain

Suhas S. Jain is an Assistant Professor in the Woodruff School of Mechanical Engineering at Georgia Tech. He received his bachelor’s from NIT-Karnataka (India) in 2014, M.S. and Ph.D. from Stanford University in 2018 and 2022, respectively, all in mechanical engineering. Before coming to Georgia Tech, he was a postdoctoral fellow at the Center for Turbulence Research, Stanford University (2022-2023), a researcher at the Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Germany (2014-2015), and a project assistant at the Indian Institute of Science (2015-2016).

His research interests include computational modeling of fluid flows (multiphase flows; turbulent flows; compressible flows; and fluid-structure interaction) with a current focus on modeling atomization, sprays, and phase change for propulsion applications; ice accretion and aerodynamics for sustainable energy and aerospace design; and air-sea interaction modeling for understanding climate change; and modeling of fluid-solid and solid-solid systems for biomedical and high-speed applications. Through the integration of numerical modeling, high-performance computing, and data-driven approaches, Suhas and his group aim to address key challenges in these areas.

Assistant Professor
Additional Research
  • Computational Modeling
  • Machine Learning

Jianxin (Roger) Jiao

Jianxin (Roger) Jiao's profile picture
roger.jiao@me.gatech.edu

Jianxin (Roger) Jiao (M’01) received the Bachelor's degree in mechanical engineering from Tianjin University of Science and Technology, Tianjin, China, the Master's degree in manufacturing engineering from Tianjin University, Tianjin, China, and the Ph.D. degree in industrial engineering from Hong Kong University of Science and Technology, Kowloon, Hong Kong, in 1998.,He is currently an Associate Professor of enterprise systems engineering in the G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta. He was an Assistant Professor and Associate Professor in the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. His research interests include engineering design, manufacturing systems and logistics, affective computing, and engineering management.

Associate Professor
Phone
(404) 894-9633
Additional Research

Sustainable Manufacturing

Website

Zachary Brunson

Zachary Brunson's profile picture
zachary.brunson@me.gatech.edu
Mechanical Engineering Profile

Zach Brunson is a Research Engineer in the G. W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology, working primarily at the Advanced Manufacturing Pilot Facility (AMPF). Prior to Georgia Tech, Zach was a graduate teaching fellow and research assistant at the Colorado School of Mines in Golden Colorado where he received his Ph.D. (2021) and M.S. (2019) in Mechanical Engineering studying theoretical and experimental mechanics of inelastic anisotropic and asymmetric materials. Prior to pursuing a graduate degree, Zach gained experience working as a measurements field engineer in the petroleum industry (2013-2015) after earning his B.S. (2013) in Mechanical Engineering from the University of Colorado in Boulder Colorado. 

Zach’s research revolves around as manufactured material property prediction, measurement, and certification. The two major thrusts of his research are: (1) theoretical and experimental mechanics of inelastic anisotropic and asymmetric materials and (2) sensor development for process monitoring and part qualification in directed energy deposition (DED) additive manufacturing (AM) systems. By developing a more complete understanding of the elastic limits of anisotropic and asymmetric materials, we can better describe both the deformation during manufacturing processes such as forging, forming, or rolling and the final strength of as manufactured (conventionally or AM) components. By developing sensor systems to monitor AM processes such as DED, we can begin to better inform the creation of predictive models, identify critical events related to part performance, improve feedback controls for more reliability and repeatability, and ultimately qualify processes and certify components.

Research Engineer
Office
AMPF 1609