Brenna Argall, PhD
Lab Director

Dr. Argall is the June and Donald Brewer Junior Professor of Electrical Engineering & Computer Science at Northwestern University, and also an assistant professor in the Departments of Mechanical Engineering and Physical Medicine & Rehabilitation. Her research lies at the intersection of robotics, machine learning and human rehabilitation. She is director of the assistive & rehabilitation robotics laboratory (argallab) at the Rehabilitation Institute of Chicago (RIC), the nation's premier rehabilitation hospital. The mission of the argallab is to advance human ability by leveraging robotics autonomy.

Dr. Argall is a 2016 recipient of the NSF CAREER award, and her Ph.D. in Robotics (2009) was received from the Robotics Institute at Carnegie Mellon University, where she was a member of the CORAL Research Group. Her B.S. in Mathematics (2002) also was received from Carnegie Mellon, where she minored in Music and Biological Sciences. Prior to joining Northwestern and RIC, she was a postdoctoral fellow (2009-2011) in the Learning Algorithms and Systems Laboratory at the École Polytechnique Fédérale de Lausanne (EPFL). Prior to graduate school she held a Computational Biology position in the Laboratory of Brain & Cognition at the National Institutes of Health (NIH).

Personal website and Email contact: brenna.argall at northwestern.edu

Ahmetcan Erdogan, PhD 
Post-Doctoral Fellow

Dr. Erdogan is a Post-Doctoral Fellow in the Department of Physical Medicine & Rehabilitation at the Northwestern University. He has received his B.Sc. degree in Electrical Engineering from Istanbul Technical University, Turkey in 2006 and the M.Sc. degree in Electrical Engineering specialized in control of dynamical systems from Högskolan Dalarna, Sweden, in 2008. He received his Ph.D. degree in Mechatronics Engineering from Sabanci University, Turkey in 2014. His research interests include optimal design of physical assistive devices, implementation of assist-as-needed control methodologies, human motor control system analysis and haptics.

Email contact: ahmetcan.erdogan at northwestern.edu

Alexander Broad, MS
PhD Student, CS

Alex is a doctoral student in the Electrical Engineering and Computer Science department at Northwestern University He received his B.A. in Mathematics and Philosophy-Neuroscience-Psychology, and his M.S. in Computer Science from Washington University in St. Louis. Prior to joining Northwestern, he worked as an Associate Staff member at MIT Lincoln Laboratory where he explored various Machine Learning applications. His research interests lie at the intersection of Machine Learning and Robotics. He is particularly interested in developing novel algorithms for assistive robotics to introduce robot autonomy and learning to platforms such as wheelchairs and robotic arms.

Personal website and Email contact: alex.broad at u.northwestern.edu

Deepak Gopinath, MS
PhD Student, ME

Deepak is a doctoral student in the Mechanical Engineering Department at the Northwestern University. He completed his B.Tech in Engineering Physics from IIT Bombay in 2003, after which he moved to Boston, USA to pursue a Professional Diploma in Music, at Berklee College of Music majoring in Composition and Jazz Performance. Prior to coming to Northwestern, he pursued a Master's in Music Technology at Georgia Tech under Dr. Gil Weinberg where he worked in the field of Robotic Musicianship. His current interests are in robotic manipulation and shared autonomy in assistive, rehabilitation and augmentation robotics.

Email contact: deepakgopinathmusic at gmail.com

Siddarth Jain, MS
PhD Student, CS

Siddarth is a Computer Science PhD student at Northwestern University, advised by Professor Brenna Argall. He is affiliated with the Assistive & Rehabilitation Robotics Laboratory at the Rehabilitation Institute of Chicago. He received his M.S. in Computer Science in 2015 from Northwestern University. His interests lie at the intersection of assistive robotics, computer vision, image analysis and machine learning. His current research involves development of novel algorithms for environment perception and employment of learning from demonstration techniques for effective human-robot collaboration in the assistive domain.

Personal website and Email contact: sidd at u.northwestern.edu

Mahdieh Nejati, MS
PhD Student, ME

Mahdieh is a doctoral student in the Mechanical Engineering Department at Northwestern University. She received her B.E. (Hons) in Mechatronics Engineering at the University of Auckland, New Zealand, and her M.S. in Robotics from Northwestern University. She has worked at several robotics labs and startups in New Zealand and the US. She has experience working with smart material, wearable devices, and surgical platforms. She co-invented fabric sensors while at StretchSense Inc., helping expand the product line to wearable applications. Her current research interests lie at the intersection of machine learning, novel sensing and control strategies and robotics with applications in assistive devices, rehabilitation and medical robotics. She is particularly interested in developing novel algorithms for assistive robotics to introduce learning from non-experts and non-task-experts to robot autonomy and learning to platforms such as wheelchairs and robotic arms.

Personal website and Email contact: m.nejati at u.northwestern.edu

 

Michael Young, MS
PhD Student

Michael is a doctoral student in the Mechanical Engineering Department at Northwestern University. He received his B.S. and M.S. in Aerospace Engineering from Texas A&M University in 2013 and 2016, respectively. During his Master's, he simultaneously worked in the TEES Division of Entrepreneurship and Commercialization where he supported the commercialization of research-based technologies. Michael is also cofounder of LifeMotion Technologies, a startup looking to help restore mouth function to oral cancer survivors using a robotic technology. His current research interest lies in the development of assistive and rehabilitative robotic technologies, with special interest in shared autonomy between robot and user.

Personal website and Email contact: michaelyoung.aero at gmail.com

Marc Gyongyosi
Undergrad Student, CS

Marc is an undergraduate student in the EECS Department at Northwestern University. Together with Professor Argall and BMW's Robotics R&D department at the "Forschungs und Innovationszentrale" (FIZ) in Munich, he is developing experimental flying autonomous vehicles for automated industrial manufacturing processes. His research interests include industrial automation technology and human-robot as well as robot-robot collaboration.

Email contact: marc.gyongyosi at u.northwestern.edu

Brian Zhan
Undergraduate Student, CS

Email contact: brian.zhan at u.northwestern.edu

 

Alumni

 

 

Pascal Egli
Visiting Masters Student          [ Winter 2016 -- Summer 2016 ]
Bryanna Yeh
Undergraduate Student, CE     [ Winter 2015 -- Spring 2016 ]
Katherine Lin
Undergraduate Student, CS     [ Winter 2015 -- Spring 2016 ]
Matthew Derry
Graduate Student, CS                [ Winter 2012 -- Summer 2015 ]

 

 

© argallab 2016