NGS Team
Welcome to our Next Gen System Lab Group, where collaboration and innovation thrive. Operating out of Louisville Automation and Robotics Research Institute (LARRI) our team consists of dedicated staff, talented PhD students, and enthusiastic undergraduates, all bringing unique perspectives and skills to the table. Together, we foster a supportive environment that encourages growth and discovery in our research endeavors.
Our Staff

Founder and Director
Dr. Dan Popa
Dan O. Popa (Senior Member, IEEE), has nearly 30 years of research experience in robotics and automation. His early research work (1993-1998) include Adaptive Force Control and Motion Planning for Nonholonomic Robots. In 1998, he joined the Center for Automation Technologies at Rensselaer Polytechnic Institute, as a Research Scientist, where he focused on precision robotics, micromanufacturing and MEMS. In 2004, he became an Assistant and then an Associate Professor of Electrical Engineering at the University of Texas at Arlington until 2015. Since 2016, he has been the Vogt Endowed Chair in Advanced Manufacturing and a Professor of Electrical and Computer Engineering at University of Louisville. He is currently the Director of the Louisville Automation and Robotics Research Institute (LARRI) and the Head of the Next Generation Research Group (NGS) conducting research in two main areas: 1) social and physical human–robot interaction through adaptive interfaces and robot tactile skins; and 2) the design, characterization, modeling, and control of micro, nano and precision robotic systems.

Associate Director
Johanna Boone
Johanna Boone received her BS and MEng in Chemical Engineering from the University of Louisville. Her career has included positions in engineering, marketing, and advertising, as well as project, product, and people management.

Senior Research Scientist
Dr. Andriy Sherehiy
Andriy Sherehiy (IEEE Member) received a B.Sc and M.S. degrees in physics from University of Rzeszow, Rzeszow, Poland, in 2006 and 2008, respectively; as well, M.S. and Ph.D. degrees in experimental condensed matter physics and material science from University of Louisville, Louisville, USA in 2010 and 2014, respectively. His doctoral studies were primarily focused on thermionic emission from nano/microstructured carbon materials. In 2015, he became a postdoctoral researcher at ElectrOptics Research Institute and Nanotechnology Center (ERINC). In 2018, he joined Next Generation Group (NGS) at the University of Louisville as a postdoctoral research associate and is currently continuing his work as a Senior Research Scientist at Louisville Automation and Robotics Research Institute (LARRI). His main research interest is in the development of automated systems integrating precision robotics and multiscale additive manufacturing and microrobotics applications for in situ SEM nano/micromanipulation.

Program Coordinator
Jordan Jones
Jordan Jones is dedicated to providing comprehensive administrative support for NGS. Her expertise spans financial administration, procurement services, student management, recruitment, outreach, and proposal assistance. With a focus on efficiency and effectiveness, Jordan ensures that all administrative processes run smoothly, helping NGS achieve its goals.

Senior Research Scientist
Dr. Ruoshi Zhang
Ruoshi Zhang (IEEE Member) received the B.S. degree on Telecommunications from Ren’ai College of Tianjin University, Tianjin, China, in 2012 and M.S. degree on Electrical Engineering from University of Texas at Arlington in 2015. He received his PhD. Degree in Electrical Engineering at the University of Louisville in 2020. Ruoshi currently is a post-doctoral research associate at the Louisville Automation & Robotics Research Institute, focusing on developing light-driven microrobot and multi-modal sensor skin and garments for healthcare and home robots.

Senior Research Scientist
Dr. Alireza Tofangchi
Alireza Tofangchi received a B.S degree in Mechanical Engineering from Shiraz University and an M.S. degree in Applied Mechanics from Sharif University of Technology-Tehran in 1993 and 199,6, respectively. He earned his Ph.D. degree in Mechanical Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2015 under the supervision of Prof. T. Saif, with a focus on understanding the mechanics of axonal contraction in neuron cells in-vivo, along with designing Bio-MEMS micro-force sensors. Served as a Visiting Assistant Professor at St. Ambrose University in the following year, and he later joined Prof. Saif's lab in 2016 as a postdoctoral research fellow and focused on designing various types of force/stiffness sensors featuring several orders of magnitude in measurement range, applicable for studies of soft tissue/materials in-vivo. In 2017, he joined Dr. Keng Hsu’s Advanced Manufacturing Lab at the University of Louisville as a senior research associate. Since then, he has been involved in several projects mainly focused on the process development of hybrid, ultrasound-FFF 3D printed techniques to fabricate smart, tunable soft sensor/actuators with various applications. He has also been involved in the Next Generation Research Group-MRI in Dr. Popa’s group since 2018, to the design and integration of FDM-Ultrasonic electrode patterning/DAED system with the new platform of Robotic assembly in Nexus system.
Ph.D. Students

Ali Ashary
Ali Ashary is a Research Assistant at the University of Louisville, working on robotics and artificial intelligence. His research focuses on human-robot interaction, adaptive motion imitation for robot-assisted physiotherapy, and Reinforcement Learning and Recurrent Neural Network (RNN) for robotic applications. He has published work on task allocation in healthcare using machine learning and has extensive experience with robotic manipulation, machine learning algorithms, and embedded systems.

Dave Campbell
Dave Campbell is a Ph.D. student focusing on Robotics and AI. He has a Master's of Engineering from UofL Speed (1985) and has worked in many industries including Communications, Manufacturing, ECommerce, Biotech, and Data Analytics from startups to large enterprise. Most recently Dave specialized in Enterprise Cloud and Network Monitoring solutions. His current interests include automation, machine vision, and ML applications.

Mohamed Hanafy
Mohamed came to Louisville 3 years ago when he was accepted into the ECE PhD program. Mohamed has over 10 years of experience in Electrical and Computer Engineering. Mohamed is currently pursuing his PhD at the University of Louisville, where he works alongside experts to develop innovative solutions that bridge neuroscience and artificial intelligence for robotic rehabilitation. Mohamed has been involved in multiple projects that integrate non-invasive EEG signal processing, real-time data analysis, and AI-driven systems to enhance BCI accessibility. His expertise includes developing and deploying machine learning models, deep learning frameworks, and real-time robotic applications using Python and MATLAB. He also has expertise in control systems, embedded systems, and signal processing.

Irina Kondaurova
Irina Kondaurova received a M.S. degree in Biostatistics in 2021 from Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, USA. She is currently a Ph.D. Candidate at the Department of Bioinformatics and Biostatistics at the University of Louisville, Louisville, KY, USA. Her research interests include hierarchical functional data analysis, non-parametric analysis (Bayesian and MCMC algorithms), classification algorithms, longitudinal data analysis and experimental designs. She provides statistical and methodological expertise for interdisciplinary and collaborative clinical research in the Human-Robot Interaction (HRI) area.

Ashutosh Prakash
Ashutosh Prakash earned a Bachelor's degree in Electrical and Electronics Engineering from BIT Mesra, India, where he worked on diverse robotics projects, including underwater robotics, bipedal robots, drones, and quadruped systems. His entrepreneurial journey led him to develop a robotic arm, further honing his expertise in robotics and automation. Currently at LARRI, he is engaged in cutting-edge research on neuroadaptive control, human-robot interaction, and adaptive controllers, striving to enhance the synergy between humans and intelligent robotic systems.

Payman SharfianArdakani
Payman SharafianArdakani received his Bachelor of Science degree in Electrical Power Engineering from Azad University, Iran, in 2016, and his Master of Technology degree in Mechatronics Engineering from the University of Tehran, Iran, in 2021. Since 2022, Payman has been a Research Assistant at Next Generation Research Group and is currently a Ph.D. candidate in Electrical Engineering at the University of Louisville. His research focuses on human-robot interaction, particularly in developing adaptive robotic systems and controls using Machine Learning Algorithms. His interdisciplinary work combines elements of robotics, mechatronics, and electrical engineering to advance the human-robot interaction
Undergrad Team Members
Nathan George
Logan Lewis
Gia Patel
Hung Pham
Bismah Rana
Jerrin Redmon
Jonathan Sills
Lux Snyder
Next Gen Systems Lab
Doctoral Alumni
Dr. Tae-Joo Hwang
Dr. Muhammid Rashid
Dr. Jartuwat Rajruangrabin
Dr. Nahum Torres-Arenas