Prof. Kira Barton
Prof. Kira Barton (firstname.lastname@example.org) received her B.S. degree in Mechanical Engineering from the University of Colorado at Boulder in 2001. Barton continued her education in mechanical engineering at the University of Illinois at Urbana-Champaign and completed her M.S. and Ph.D. degrees in 2006 and 2010, respectively. She held a postdoctoral research position at the University of Illinois from Fall 2010 until Fall 2011, at which point she joined the Mechanical Engineering Department at the University of Michigan at Ann Arbor.
Her primary research focus is on precision coordination and motion control for emerging applications, with a specialization in iterative learning control. Barton’s work intersects controls and manufacturing and combines innovative manufacturing processes with enhanced engineering capabilities. The potential impact of this research ranges from building high-resolution DNA sensors for biological applications, to the integration of advanced sensing and control for rehabilitation robotics.
Advanced Modeling and Control for High-Resolution Additive Manufacturing
Software Defined Control: Advanced Modeling for Improved Manufacturing Security and Productivity
Ph.D. Candidate (ME): Leo Tse (email@example.com)
Electrohydrodynamic Jet (E-Jet) Printing: the design of a novel E-jet printer for advanced manufacturing applications
My research project is to develop a cost effective electrohydrodynamic jet (E-Jet) printing system to advance micro/nano-scale manufacturing capabilities. To achieve this goal, my research objectives include: designing a novel printing nozzle, investigating advanced sensor approaches for system feedback, and developing a control algorithm to achieve high fidelity fabrication through the use of a novel E-jet printing system. The applications for this research range from printed electronics to bio-sensors.
Ph.D. Candidate (ME): Deema Totah (firstname.lastname@example.org)
Human-Machine Learning Control for Rehabilitation Devices
My research project is focused on the integration of intent recognition into an adaptive human-in-the-loop control framework for improved efficacy of rehabilitative and assistive devices.
Ph.D. Candidate (ME): Christopher Pannier (email@example.com)
Micro Metal Deposition: A high resolution 3D printing approach for functional metallic devices
My research project is focused on understanding the physical properties of metals and how they can be exploited to achieve high-resolution printing of functional devices at the micro-scale.
Cooperative Iterative Learning Control
My research project is focused on developing advanced control strategies for combining cooperative control and learning control into a single framework. In particular, I am interested in exploring novel methods for manipulating and utilizing optimized cooperative behavior towards enhanced performance across a broad application and task space.
Physics and control of particle suspensions in Electrohydrodynamic Jet Printing
My research project is focused on the physical characterization and modeling of particle suspensions in a liquid solvent. This understanding will be used towards the development of control strategies for streamlined fabrication and improved quality of printed electronics via electrohydrodynamic jet printing.
Agent Based Control of Manufacturing Systems
My research project is focused on creating and implementing a manufacturing system control framework based on a multi-agent system model. The goal is to create an adaptable control system that can be applied in an industrial setting.
Hybrid Modeling for Manufacturing Systems
My research project is focused on the development of hybrid models for manufacturing systems that incorporate physics-based modeling with data driven modeling for enhanced system monitoring and fault prediction.
Bottlenose Dolphin Behavioral Analysis through Controlled and Uncontrolled Agent Coordination
My research concerns bottlenose dolphin behavior analysis, localization, and environment reconstruction through the use of coordinated autonomous oceanic vehicles. This will involve developing a generalized control framework to allow for the cooperation of uncontrolled and controlled agents, and applying the framework in the specific case of tagged dolphin monitoring.
Bio-inspired Coordination: Learning to Identify Individual Versus Coordinated Behaviors from Bottlenose Dolphins in a Controlled Environment
My research concerns understanding and identifying the differences between individual and cooperative behaviors from a population of bottlenose dolphins in a controlled environment. This will involve developing a generalized framework for identifying and classifying cooperative and individual behaviors towards eventual implementation on a robotic platform.
Software Define Control
My research concerns understanding and identifying anomalies within a manufacturing system. This will require modeling and classifying different types of anomalies that exist within a manufacturing system.
Design, Modeling and Control of an AFO-Emulator System to advance Research in Intelligent Assistive Devices
Production as a Service: Modeling and Analysis
M.S. Student (ME): Kshitij Jain
Production as a Service: Advanced Optimizations for Enhanced Productivity
Software Defined Control: System-Level Modeling
Advancements in 3D bioprinting
Technical University of Eindhoven, The Netherlands: Remy Pelzer (firstname.lastname@example.org)
Mechanical Engineering Department
A comparison of learning algorithms for mechatronic systems
Ryan Tepper (ME390)
Tom Brown (ME390)
Dan Xu (ME490)
Mamadou Diagne, Assist. Prof. at Rensselaer Polytechnic Institute
Ingyu Lim, 2016, Ford Motor Company
Berk Altin, 2016, Postdoctoral researcher at UC Santa Cruz
Xiaomei Hu, 2015, Shanghai University, China
Mauro Mazzolini, 2014, Synesis
Diego Manzocchi, 2014, Synesis
Matthew Porter, 2016, pursuing PhD at University of Michigan
Yunli Shao, 2015, pursuing PhD at University of Minnesota
Tong Li, 2015, pursuing PhD at University of Michigan
Dan Zhao, 2015, pursuing PhD at University of Michigan
Sayooj Pillai, 2014, Cummins, Inc.
Siva Aduri, 2014, MS University of Michigan
Bokai Chen, 2014, M.S University of Michigan
Yi-Kai Wang, 2013, M.S. University of Michigan
Chengeng Qu, 2013, Finance Masters Program
William Grenis, 2013, UM Masters Program
Danvir Sethi, 2013, Mathworks
Astha Kukreja, 2013, Cummins, Inc.
Bert Jiang, 2012, Mathworks
Jaekyu Hyun, 2012, Hyundai
David Robinson (UROP)
Alex Nettekoven (International UROP)
Tanay Nerurkar (ME490)
Eliana Almario (SROP)
Ben Getz (UROP-MSTEM)
Michael Dobrowolski (UROP)
Ravesh Sukhnandan (SURE)
Michael Mahon (UROP)
Audrey Ramey (NNIN REU)
Syfith Jeet Singh
Nattasit (North) Dancholvichit
Andrew O’Hara (UROP)
Chien-An (Anne) Yu (UROP)