Gregory Sawicki

Gregory Sawicki
gregory.sawicki@me.gatech.edu
PoWeR Lab

Dr. Gregory S. Sawicki is an Associate Professor at Georgia Tech with appointments in the George W. Woodruff School of Mechanical Engineering and the School of Biological Sciences. He holds a B.S. from Cornell University ('99) and a M.S. in Mechanical Engineering from University of California-Davis ('01). Dr. Sawicki completed his Ph.D. in Human Neuromechanics at the University of Michigan, Ann-Arbor ('07) and was an NIH-funded Post-Doctoral Fellow in Integrative Biology at Brown University ('07-'09). Dr. Sawicki was a faculty member in the Joint Department of Biomedical Engineering at NC State and UNC Chapel Hill from 2009-2017. In summer of 2017, he joined the faculty at Georgia Tech with appointments in Mechanical Engineering 3/4 and Biological Sciences 1/4.

Associate Professor; School of Mechanical Engineering & School of Biological Sciences
Director; PoWeR Lab
Phone
404.385.5706
Office
GTMI 411
Additional Research
wearable robotics; exoskeletons; locomotion; biomechanics; muscle mechanics
Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=Z8WUqgkAAAAJ&view_op=list_works&sortby=pubdate

Ye Zhao

Ye Zhao
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
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
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

Anirban Mazumdar

Anirban Mazumdar
anirban.mazumdar@me.gatech.edu
DART Lab

Dr. Anirban Mazumdar joined Georgia Tech as an Assistant Professor in Mechanical Engineering in 2018. Dr. Mazumdar studies robot mobility with the goal of understanding and achieving agile, versatile, and efficient robot behaviors in unstructured environments. His previous experience includes a postdoctoral research position in the High Consequence Automation and Robotics Group at Sandia National Laboratories in Albuquerque, NM. He has broad experience with novel robotic systems including energy efficient bipedal robots, reconfigurable aerial vehicles, prosthetic devices, and relaxed stability mobile robots.

Assistant Professor; School of Mechanical Engineering
Director; Dynamic Adaptive Robotic Technologies (DART) Lab
Phone
404.385.8061
Office
Callaway Building 432
Additional Research
Mobile Robots; Human Performance; Autonomy
Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=cRHSdPYAAAAJ&view_op=list_works&sortby=pubdate

Kok-Meng Lee

Kok-Meng Lee
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)

Kinsey Herrin

Kinsey  Herrin
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.

Senior 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

Ellen Yi Chen Mazumdar

Ellen Yi  Chen Mazumdar
ychen3161@gatech.edu
Sensing Technologies Laboratory Website

Dr. Mazumdar started at the Woodruff School of Mechanical Engineering at Georgia Tech in January of 2019 and currently has a courtesy appointment with the Guggenheim School of Aerospace Engineering. She graduated with her Ph.D. from Massachusetts Institute of Technology and completed a postdoctoral appointment at Sandia National Laboratories in the Diagnostic Science and Engineering group. Her research interests include the design of new diagnostic techniques and sensor systems for studying combustion, multiphase flows, hypersonic flows, and energetic materials. Her group utilizes new composite sensing materials, optical diagnostics, magnetostatics, and system identification methods to study these complex physical phenomena.

Assistant Professor; School of Mechanical Engineering
Director; The Sensing Technologies Lab
Phone
404.894.3242
Office
Love 229
Additional Research
new sensor systems diagnostic techniques; robotic; biomedical; hypersonics

Steven Liang

Steven Liang
steven.liang@me.gatech.edu
Website

Dr. Liang began at Tech in 1990 as an assistant professor. Previously, he was an assistant professor at Oklahoma State University. He was named to the Bryan Professorship in 2005. He was President of Walsin-Lihwa Corporation in 2008-2010.

Morris M. Bryan, Jr. Professorship in Mechanical Engineering for Advanced Manufacturing Systems
Phone
404.894.8164
Office
Callaway Manufacturing Research Center, Room 458
Additional Research
Manufacturing and Automation and Mechatronics; Modeling; monitoring; control of advanced manufacturing processes and equipment.

Aaron Young

Aaron Young
aaron.young@me.gatech.edu
Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab

Aaron Young is an Associate Professor in Mechanical Engineering and is interested in designing and improving powered orthotic and prosthetic control systems for persons with stroke, neurological injury or amputation. His previous experience includes a post-doctoral fellowship at the University of Michigan in the Human Neuromechanics Lab working with exoskeletons and powered orthoses to augment human performance. He has also worked on the control of upper and lower limb prostheses at the Center for Bionic Medicine (CBM) at the Rehabilitation Institute of Chicago. His master's work at CBM focused on the use of pattern recognition systems using myoelectric (EMG) signals to control upper limb prostheses. His dissertation work at CBM focused on sensory fusion of mechanical and EMG signals to enable an intent recognition system for powered lower limb prostheses for use by persons with a transfemoral amputation.

Associate Professor, George W. Woodruff School of Mechanical Engineering
Director, EPIC Lab
Phone
404.385.5306
Office
GTMI 433
Additional Research
Powered prosthesis; EMG signal processing. Young's research is focused on developing control systems to improve prosthetic and orthotic systems. His research is aimed at developing clinically translatable research that can be deployed on research and commercial systems in the near future. Some of the interesting research questions are how to successfully extract user intent from human subjects and how to use these signals to allow for accurate intent identification. Once the user intent is identified, smart control systems are needed to maximally enable individuals to accomplish useful tasks. For lower limb devices, these tasks might include standing from a seated position, walking, or climbing a stair. We hope to improve clinically relevant measures with powered mechatronic devices, including reducing metabolic cost, improving biomechanics and decreasing the time required to perform daily tasks of living.
Google Scholar
https://scholar.google.com/citations?hl=en&user=NkM21vEAAAAJ&view_op=list_works&sortby=pubdate
ME Profile Page