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faculty
Kihan Park, PhD he/his/him
Assistant Professor
Mechanical Engineering
Contact
508-999-8549
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Education
| 2019 | Georgia Institute of Technology | PhD |
| 2011 | Korea Advanced Institute of Science and Technology (KAIST) | MS |
| 2009 | Korea Advanced Institute of Science and Technology (KAIST) | BS |
Teaching
- MNE 482 - Robotics (Fall)
- MNE 466 - Control Systems Design (Spring)
Teaching
Programs
Programs
- Energy
- Engineering and Applied Science PhD
- Manufacturing
- Mechanical Engineering BS, BS/MS
- Mechanical Engineering MS
Teaching
Courses
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the appropriate BMEMT Graduate Program Director.
A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.
A 3-credit course on mechatronics. The material covers a range of topics essential to the design of products that integrate mechanical, electrical and electronic engineering systems, actuation, computation and software. Topics also include digital logic, microcontrollers and their peripherals, eg, ADCs, DACs, as well as sensing and signal conditioning. The course consists of two 50-min lectures (2 cr.) and three hours of in-class studio/lab per week (1 cr.).
Introduction to the various aspects of the mechanics of robotics, its classifications and terminologies involved. Direct and inverse kinematics of a robot manipulator are treated in detail with the application of homogeneous and Denavit-Hartenberg transformation techniques. Dynamics, control and programming of a robot manipulator are discussed with associated laboratory work.
Topical courses not offered in regular course rotation--e.g., new courses not in the catalog, courses by visiting faculty, courses on timely topics, highly specialized courses responding to unique student demand. Conditions and hours to be arranged. Prerequisites: Submission of a proposal, including the course description, goals, deliverables, time allocation and grading procedure; approval by the instructor, department chairperson, department graduate director and college dean.
Topical courses not offered in regular course rotation--e.g., new courses not in the catalog, courses by visiting faculty, courses on timely topics, highly specialized courses responding to unique student demand. Conditions and hours to be arranged. Prerequisites: Submission of a proposal, including the course description, goals, deliverables, time allocation and grading procedure; approval by the instructor, department chairperson, department graduate director and college dean.
Research
Research awards
- $ 478,972 awarded by Office of Naval Research for UMassD MUST IV: Cost-effective Elastic Filament Velocimetry (EFV) Sensor Network for Small Unmanned Underwater Vehicles (UUVs)
- $ 175,000 awarded by The National Science Foundation for CRII: SCH: Multi-modal Soft Tissue Characterization for Non-invasive Breast Imaging
- $ 400,230 awarded by Office of Naval Research for UMassD MUST I: A Multi-Modal Sensing Enabled Soft Robotic End-Effector for Highly Dexterous Object Manipulation in Explosive Ordnance Disposal (EOD) Missions
Research
Research interests
- Medical Robotics
- Micro-scale Sensing/Actuation
- Machine Learning
- Biosignal Processing
Kihan Park is an assistant professor of the Department of Mechanical Engineering at University of Massachusetts Dartmouth. He received his PhD degree in Robotics (Home Department: Biomedical Engineering) from Georgia Institute of Technology, Atlanta, GA, USA in 2019, BS and MS degrees in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea in 2009 and 2011, respectively. His primary research interests are design/control of robotic systems, micro-scale sensing/actuation, microfabrication, and machine learning for both medical and industrial applications.