Hassan Zargarzadeh, Ph.D.
Contact
Hassan Zargarzadeh
Associate Professor,
Phillip M. Drayer Department of Electrical Engineering
Phone: (409)-880-7007
Fax: (409)-880-8121
Email: h.zargar@lamar.edu
Office: Cherry 2107
Curriculum Vitae
Recent Publications
- Multiagent task allocation in complementary teams: a hunter-and-gatherer approach
M Dadvar, S Moazami, HR Myler, H ZargarzadehComplexity 2020
- A Dynamic Territorializing Approach for Multiagent Task Allocation
M Islam, M Dadvar, H ZargarzadehComplexity 2020
- Real-Time Road Crack Mapping Using an Optimized Convolutional Neural Network
M Naddaf-Sh, SS Hosseini, J Zhang, NA Brake, H ZargarzadehComplexity 2019
- Kinematics of Spherical Robots Rolling over 3D Terrains
S Moazami, H Zargarzadeh, S PalankiComplexity 2019
- Extremum seeking-based model predictive MPPT for grid-tied Z-source inverter for photovoltaic systems
S Sajadian, R Ahmadi, H ZargarzadehIEEE Journal of Emerging and Selected Topics in Power Electronics 2018
- Design and implementation of an assistive real-time red lionfish detection system for AUV/ROVs
M Naddaf-Sh, H Myler, H ZargarzadehComplexity 2018
Education
Ph.D., (E.E.) Missouri University of Science and Technology, 2012
M.S., (E.E.) Iran University of Science and Technology, 2009
B.S., (E.E.) Amirkabir University, 2000
M.S., (E.E.) Iran University of Science and Technology, 2009
B.S., (E.E.) Amirkabir University, 2000
Awards & Honors
- Best presenter runner-up at sixth annual poster presentation of ISC-supported research, Rolla, MO, November 4th, 2010.
- Excellent student (top 3%) among all students in M.S. program at Iran University of Science and Technology, Iran, 2008.
- Among top 800 (of 12,000) students in the nationwide M.S. entrance exam, Iran, 2006.
- Among top 100 (of 100,000) students in the nationwide university entrance exam, Iran, 1995.
- Top student in scientific competitions of the Khuzestan province, Iran, 1994.
Open Positions
Research assistantship positions are available in the fields of Robotics, Artificial Intelligence, Reinforcement Learning, Deep Learning, Machine Learning, etc.
Grants
| # | Title | Agency | Year of support | Amount |
| 1 | Autonomous Aquatic Robot for Invasive Species Evaluation (AARISE) | Lamar Univ. CAWAQ | 2016-2015 | 50% of $25000 |
| 2 |
Using Autonomous Robots to Track Invasive Species |
SURF: LU Undergraduate Research Office | Summer 2016 | 50% of $4500 |
| 3 |
Real-Time Bunker Consumption Optimization against Uncertain Weather and Sea States |
Lamar Univ. CAPM | 2017 | $35000 |
