Dr. Sidike Paheding, Applied Computing, is seeking a fall 2021 graduate student to assist with a research project. Details are below.
- Pay rate: $15/hour, 10 hours/week
- Employment dates: September 2021 through December 2021. An extension is possible.
- Basic requirements: Experience in Unity development platform and Virtual/Augmented Reality.
- Desired: Knowledge in machine learning/AI is a plus.
Sidike Paheding, Ph.D.
spahedin@mtu.edu
EERC 417
Assistant Professor, Dept. of Applied Computing
Affiliated Assistant Professor, Dept. of Computer Science
Affiliated Faculty, Center for Data Sciences, and Computational Science & Engineering
College of Computing, Michigan Technological University
Graduate student Chen Zhao will defend his dissertation proposal for the PhD in Computational Science and Engineering Monday, July 26, 2021, at 2:00 p.m. via online meeting.
Zhao’s dissertation advisor is Dr. Weihua Zhao, Applied Computing; his research topic is Deep Learning for Medical Image Segmentation using Prior Knowledge and Topology.
Join the Zoom meeting here: https://michigantech.zoom.us/j/85266979905
by Pasi Lautala
Thomas Oommen (GMES, ICC), Ricardo Eiris, (CEGE, ICC), and Beth Veinott (CLS, ICC) are among eight Michigan Tech researchers who have submitted a a record number of eight concept papers for proposed research projects with the Federal Railroad Administration.
The Federal Railroad Administration (FRA) requested that Michigan Tech submit a record number of eight concept papers for proposed research projects as part of their 2021 Broad Agency Announcement.
In addition, Tech is a subcontractor for two more concept paper proposals. The paper submittal was coordinated by the Rail Transportation Program and the range of topics speaks to the diversity of Michigan Tech’s expertise applicable to the rail transportation. The PIs are looking forward to FRA decisions on how many of these papers advance to full proposals.
Each of the 10 projects had a different principal investigator (PI), representing six university departments/institutes and several more co-PIs.
The project titles and their PIs include:
- Hyper- and Multi-spectral Sensing and Deep Learning for Automated Identification of Roadbed Condition, (PI, Thomas Oommen, GMES).
- Wire Arc Additive Manufacturing (WAAM) for Weld Enhanced Cast Steel Coupler Knuckles (PI, Paul Sanders, MSE).
- IoT Assisted Data-analytics Framework Enables Assessment of Location Based Ride Quality (LBRQ) (PI, Sriram Malladi, MEEM).
- RailStory: Using Web-based Immersive Storytelling to Attract the Next Generation of Young Women in Rail (PI, Ricardo Eiris, CEGE).
- A Risk Informed Decision-Making Framework for Coastal Railroad System Subjected to Storm Hazards and Sea Level Rise (PI, Yousef Darestani, CEGE).
- Rail Corridor Life-Cycle Assessment (LCA) Framework, Factors and Models to Support Project Evaluation and Multi-Modal Comparisons (PI, Pasi Lautala, CEGE).
- Development of Infrared Thermography for Effective Rail Weld Inspection (PI, Qingli Dai, CEGE).
- Enabling Longer-distance, AI-enabled Drone-based Grade Crossing Assessment in Potentially GPS Denied Environments (PI, Colin Brooks).
- Multi-Site Simulation to Examine Driver Behavior Impact of Integrated Rail Crossing Violation Warning (RCVW) and In-Vehicle Auditory/Visual Alert (IVAA) System (PI, Elizabeth Veinott, subcontract with Virginia Tech).
- Evaluation of Non-traditional Methods of Reducing Emissions in Short Line Railroad Operations (PI, Jeremy Worm, subcontract with ASLRRA).