Esmaeil Mousavi, AI/ML Researcher - Graduate Teaching Assistant
Inventor, AI/ML & Autonomous System Research/Teaching Assist
Biography
Esmaeil Mousavi is an innovative researcher and educator specializing in artificial intelligence, machine learning, and autonomous systems. Currently pursuing a Bachelor of Science in Computer Science at Weber State University in Ogden, UT, he is deeply involved in advancing research in areas such as cybersecurity, computer vision—from autonomous vehicle technologies and swarm learning models to environmental data analysis—underscoring his commitment to both academic excellence and technological innovation.
Work Experience
Weber State University, Ogden, UT
Assistant Researcher: ML in Acoustic Denial and Cybersecurity, Data Sciences and Optimization
January 2023 – Present
- Conducted over 100 acoustic denial attack simulations on hard disk drives (HDDs), significantly reducing noise-related failures by implementing an ML-driven noise cancellation mechanism.
- Secured a $5,000 research grant to present findings at the National Conference on Undergraduate Research in April 2025.
Graduate Assistant Teacher: CS 6300 – Route Planning and Navigation
March 2023 – December 2023
- Co-developed and delivered a graduate-level course for students, earning recognition for interdisciplinary collaboration between the Computer Science and Automotive Technology departments.
- Led hands-on labs and projects focused on autonomous systems—including programming TurtleBots, InDro bots, and F1-Tenth Racing cars—to enhance practical learning.
Assistant Researcher: AI and Autonomous Vehicles:
October 2022 – Present
- Advanced self-driving technologies by leveraging tools such as Torch, OpenCV, 3D LiDARs, and SWARM learning models for decentralized obstacle recognition and vehicle behavior analysis.
- Organized tours and delivered guest lectures, boosting student engagement and interest in autonomous vehicle technologies by 30%.
National Center for Water Quality Research, Tiffin, OH
Assistant Researcher:
November 2021 – September 2022
- Employed machine learning techniques to forecast water quality trends in the Sandusky River up to 8 years in advance, using a 10-year dataset in collaboration with the Broad Institute of MIT and Harvard.
- Delivered actionable insights that informed environmental decision-making and water quality management strategies.
Data Analyst:
December 2021 – September 2022
- Processed and visualized extensive sensor data from river monitoring systems.
- Produced detailed reports that supported comprehensive environmental water quality assessments.
Education
Weber State University, Ogden, UT: Bachelor of Science in Computer Science - Expected Graduation: December 2025
Research Interests:
- Artificial Intelligence & Machine Learning
- Computer Vision & Autonomous Vehicles
- Robotics & Swarm Learning Models
- Cybersecurity & Acoustic Denial of Service Mitigation
- Data Science, Optimization, & Visualization
- Applications of ML in Education and Health
Publications, Patents & Projects
- Machine Intelligence Solution for Acoustic Denial of Service Attacks on Hard Disk Drives. Mousavi, E., & Fuez, K. Soon to be presented at NCUR 2025 in Pittsburgh, PA.
Projects
- Autonomous Vehicle Obstacle Detection and Outreach: Developed a real-time obstacle detection system using Python APIs, OpenCV, and PyTorch. Organized Weber State University’s AI & Autonomous Vehicles Tour (November 2023) to showcase the latest advancements in autonomous vehicle technology.
Previous Publications & Patents:
- A Descriptive Analysis: A Forecast on the Ratio of Sandusky River’s Total Particulate Phosphorus Per Suspended Sediments Regarding River Flow:
Collaborated with the Broad Institute of MIT & Harvard as part of the NCWQR project (April 2022).
- Two-Stroke X-Shaped Engine: Published under the Patent Cooperation Treaty (WIPO Publication #WO/2020/026037) – presenting innovative concepts in mechanical, automotive, and aerospace engineering (June 2020).
Research Interests:
- Artificial Intelligence & Machine Learning
- Computer Vision & Autonomous Vehicles
- Robotics & Swarm Learning Models
- Cybersecurity & Acoustic Denial of Service Mitigation
- Data Science, Optimization, & Visualization
- Applications of ML in Education and Health
Professional Memberships
- Ambassador, Z Mainframe Systems, IBM: Leading student sessions to foster engagement with mainframe technology. (October 2024 – Present)
- Member, Harvard SEAS Computer Science Colloquium Group: Actively participating in monthly computing conferences. (October 2021 – Present)
- Senator, College of Engineering: Elected representative and voice of the engineering student body at Weber State University. (2023 – 2024)
- Committee Member, Faculty Senate, Academic Resource, and IT Advisory Committees: Contributing to academic and IT resource initiatives at Weber State University. (2023 – 2024)
- Student Advisor, Swarm Learning Model Project: Collaborating with Nvidia & Hewlett-Packard Enterprise on emerging swarm learning technologies. (July 2023)
- Member, Association for Computing Machinery (ACM®): Involved in hosting events and discussions on topics ranging from AutoTech innovations to mainframe systems. (2022 – 2024)
Academic & Professional Achievements
- Research Grant Award (January 2024): Awarded by the Office of Undergraduate Research at Weber State University for innovative work in machine learning and cybersecurity.
- Student Advisor, Swarm Learning Model Project (July 2023): Guided project development in partnership with Nvidia & Hewlett-Packard Enterprise.
- International Ambassador & Emerging Leader Certificates (April 2022): Honored by Heidelberg University for leadership and international engagement.
- Top 5% Academic Achievement: Recognized by the Iranian National Organization for Development of Exceptional Talent during high school (Sept. 2014 – June 2020).
Conferences & Symposiums
- Weber State University’s AI & Autonomous Vehicles Symposium (November 2023): Organizer and panelist coordinating lectures and discussions on cutting-edge autonomous vehicle research.
- VIP Participant, AI/ML Leader in Tech for the State of Utah, Pluralsight Navigate (October 2023): Engaged in high-level industry discussions on the future of AI/ML technologies.
- NASA Jet Propulsion Laboratory Uncertainty Quantification Conference (July 2023): Participated at Caltech, Pasadena, CA, contributing to discussions on advanced uncertainty quantification methods.
- Terasaki Institute Innovation Summit (March 2023): Represented emerging research trends at the University of California, Los Angeles, CA.
- Leadership to Legacy Conference (November 2023): Shared insights on leadership within academia and industry at Weber State University.
- Heidelberg University Research Symposium (April 2022): Presented research findings, furthering international academic collaboration.
Esmaeil Mousavi is an innovative researcher and educator specializing in artificial intelligence, machine learning, and autonomous systems. Currently pursuing a Bachelor of Science in Computer Science at Weber State University in Ogden, UT, he is deeply involved in advancing research in areas such as cybersecurity, computer vision—from autonomous vehicle technologies and swarm learning models to environmental data analysis—underscoring his commitment to both academic excellence and technological innovation.
Work Experience
Weber State University, Ogden, UT
Assistant Researcher: ML in Acoustic Denial and Cybersecurity, Data Sciences and Optimization
January 2023 – Present
- Conducted over 100 acoustic denial attack simulations on hard disk drives (HDDs), significantly reducing noise-related failures by implementing an ML-driven noise cancellation mechanism.
- Secured a $5,000 research grant to present findings at the National Conference on Undergraduate Research in April 2025.
Graduate Assistant Teacher: CS 6300 – Route Planning and Navigation
March 2023 – December 2023
- Co-developed and delivered a graduate-level course for students, earning recognition for interdisciplinary collaboration between the Computer Science and Automotive Technology departments.
- Led hands-on labs and projects focused on autonomous systems—including programming TurtleBots, InDro bots, and F1-Tenth Racing cars—to enhance practical learning.
Assistant Researcher: AI and Autonomous Vehicles:
October 2022 – Present
- Advanced self-driving technologies by leveraging tools such as Torch, OpenCV, 3D LiDARs, and SWARM learning models for decentralized obstacle recognition and vehicle behavior analysis.
- Organized tours and delivered guest lectures, boosting student engagement and interest in autonomous vehicle technologies by 30%.
National Center for Water Quality Research, Tiffin, OH
Assistant Researcher:
November 2021 – September 2022
- Employed machine learning techniques to forecast water quality trends in the Sandusky River up to 8 years in advance, using a 10-year dataset in collaboration with the Broad Institute of MIT and Harvard.
- Delivered actionable insights that informed environmental decision-making and water quality management strategies.
Data Analyst:
December 2021 – September 2022
- Processed and visualized extensive sensor data from river monitoring systems.
- Produced detailed reports that supported comprehensive environmental water quality assessments.
Education
Weber State University, Ogden, UT: Bachelor of Science in Computer Science - Expected Graduation: December 2025
Research Interests:
- Artificial Intelligence & Machine Learning
- Computer Vision & Autonomous Vehicles
- Robotics & Swarm Learning Models
- Cybersecurity & Acoustic Denial of Service Mitigation
- Data Science, Optimization, & Visualization
- Applications of ML in Education and Health
Publications, Patents & Projects
- Machine Intelligence Solution for Acoustic Denial of Service Attacks on Hard Disk Drives. Mousavi, E., & Fuez, K. Soon to be presented at NCUR 2025 in Pittsburgh, PA.
Projects
- Autonomous Vehicle Obstacle Detection and Outreach: Developed a real-time obstacle detection system using Python APIs, OpenCV, and PyTorch. Organized Weber State University’s AI & Autonomous Vehicles Tour (November 2023) to showcase the latest advancements in autonomous vehicle technology.
Previous Publications & Patents:
- A Descriptive Analysis: A Forecast on the Ratio of Sandusky River’s Total Particulate Phosphorus Per Suspended Sediments Regarding River Flow:
Collaborated with the Broad Institute of MIT & Harvard as part of the NCWQR project (April 2022).
- Two-Stroke X-Shaped Engine: Published under the Patent Cooperation Treaty (WIPO Publication #WO/2020/026037) – presenting innovative concepts in mechanical, automotive, and aerospace engineering (June 2020).
Research Interests:
- Artificial Intelligence & Machine Learning
- Computer Vision & Autonomous Vehicles
- Robotics & Swarm Learning Models
- Cybersecurity & Acoustic Denial of Service Mitigation
- Data Science, Optimization, & Visualization
- Applications of ML in Education and Health
Professional Memberships
- Ambassador, Z Mainframe Systems, IBM: Leading student sessions to foster engagement with mainframe technology. (October 2024 – Present)
- Member, Harvard SEAS Computer Science Colloquium Group: Actively participating in monthly computing conferences. (October 2021 – Present)
- Senator, College of Engineering: Elected representative and voice of the engineering student body at Weber State University. (2023 – 2024)
- Committee Member, Faculty Senate, Academic Resource, and IT Advisory Committees: Contributing to academic and IT resource initiatives at Weber State University. (2023 – 2024)
- Student Advisor, Swarm Learning Model Project: Collaborating with Nvidia & Hewlett-Packard Enterprise on emerging swarm learning technologies. (July 2023)
- Member, Association for Computing Machinery (ACM®): Involved in hosting events and discussions on topics ranging from AutoTech innovations to mainframe systems. (2022 – 2024)
Academic & Professional Achievements
- Research Grant Award (January 2024): Awarded by the Office of Undergraduate Research at Weber State University for innovative work in machine learning and cybersecurity.
- Student Advisor, Swarm Learning Model Project (July 2023): Guided project development in partnership with Nvidia & Hewlett-Packard Enterprise.
- International Ambassador & Emerging Leader Certificates (April 2022): Honored by Heidelberg University for leadership and international engagement.
- Top 5% Academic Achievement: Recognized by the Iranian National Organization for Development of Exceptional Talent during high school (Sept. 2014 – June 2020).
Conferences & Symposiums
- Weber State University’s AI & Autonomous Vehicles Symposium (November 2023): Organizer and panelist coordinating lectures and discussions on cutting-edge autonomous vehicle research.
- VIP Participant, AI/ML Leader in Tech for the State of Utah, Pluralsight Navigate (October 2023): Engaged in high-level industry discussions on the future of AI/ML technologies.
- NASA Jet Propulsion Laboratory Uncertainty Quantification Conference (July 2023): Participated at Caltech, Pasadena, CA, contributing to discussions on advanced uncertainty quantification methods.
- Terasaki Institute Innovation Summit (March 2023): Represented emerging research trends at the University of California, Los Angeles, CA.
- Leadership to Legacy Conference (November 2023): Shared insights on leadership within academia and industry at Weber State University.
- Heidelberg University Research Symposium (April 2022): Presented research findings, furthering international academic collaboration.