# Majid Zamani

> engineering professor

**Wikidata**: [Q103370347](https://www.wikidata.org/wiki/Q103370347)  
**Source**: https://4ort.xyz/entity/majid-zamani-q103370347

## Summary

Majid Zamani received his education from multiple institutions. He attended Sharif University of Technology[1][2], Isfahan University of Technology[1][2], and the University of California, Los Angeles[1][2]. His academic background includes affiliations with the University of California, Los Angeles, on two separate occasions[1][2]. He is employed at the University of Colorado Boulder[3].

## Summary
Majid Zamani is an engineering professor and researcher specializing in computer science, control theory, and robotics. He currently serves as an associate professor at the University of Colorado Boulder, where he holds affiliations with both the Computer Science Department and the Department of Electrical, Computer, and Energy Engineering.

## Biography
*   **Education:**
    *   **Ph.D. in Electrical Engineering:** University of California, Los Angeles (2012)
    *   **M.A. in Mathematics:** University of California, Los Angeles (2012)
    *   **M.S. in Electrical Engineering:** Sharif University of Technology (2007)
    *   **B.S. in Electrical Engineering:** Isfahan University of Technology (2005)
*   **Doctoral Advisors:** Rupak Majumdar and Jason L. Speyer
*   **Employer(s):** University of Colorado Boulder (Associate Professor)
*   **Work Location:** Boulder, Colorado
*   **Field(s):** Computer science, control theory, nonlinear dynamics, robotics, stochastic process, systems theory
*   **Occupation:** University teacher, engineering professor

## Contributions
Majid Zamani’s academic career is defined by his contributions to the intersection of electrical engineering and computer science, specifically within the domains of control theory and robotics. His work addresses complex challenges in nonlinear dynamics and stochastic processes, contributing to the broader understanding of systems theory.

Having completed his Ph.D. at UCLA in 2012, his research background bridges the gap between theoretical mathematics and practical engineering applications. His dual role in the Computer Science Department and the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder allows him to explore the synthesis of computation and physical system design. While specific publication titles are not itemized in the provided source, his expertise is recognized through various academic identifiers, including a DBLP author ID and a Mathematics Genealogy Project ID, indicating an active record of scholarly output in these technical fields.

## FAQs

### Q: What is Majid Zamani's current academic position?
A: Majid Zamani currently serves as an associate professor at the University of Colorado Boulder.

### Q: What are Majid Zamani's primary research interests?
A: His primary fields of work include computer science, robotics, control theory, nonlinear dynamics, stochastic processes, and systems theory.

### Q: Where did Majid Zamani receive his doctoral degree?
A: He received his Ph.D. in Electrical Engineering from the University of California, Los Angeles (UCLA) in 2012. He also earned an M.A. in Mathematics from UCLA in the same year.

### Q: Who were Majid Zamani's doctoral advisors?
A: His doctoral advisors were Rupak Majumdar and Jason L. Speyer.

## Why They Matter
Majid Zamani represents a critical link between several complex engineering disciplines. By holding joint appointments in Computer Science and Electrical/Computer Engineering, his work facilitates cross-disciplinary advancements essential for modern robotics and autonomous systems. His focus on "systems theory" and "nonlinear dynamics" places him at the forefront of research required to make robots and automated systems safer and more reliable. Furthermore, his academic lineage, trained under notable figures like Rupak Majumdar at UCLA, positions him as a key educator shaping the next generation of engineers in the field of control and computation.

## Notable For
*   **Cross-Disciplinary Role:** Holding joint appointments in Computer Science and Electrical, Computer, and Energy Engineering at CU Boulder.
*   **Advanced Expertise:** Specializing in complex fields such as stochastic processes and nonlinear dynamics.
*   **Dual Doctoral Degrees:** Earning both a Ph.D. in Electrical Engineering and an M.A. in Mathematics simultaneously from UCLA in 2012.
*   **Academic Lineage:** Having been mentored by prominent researchers Rupak Majumdar and Jason L. Speyer.

## Body

### Academic Background
Majid Zamani's educational path began with a Bachelor of Science in Electrical Engineering from Isfahan University of Technology in 2005, followed by a Master of Science in the same field from Sharif University of Technology in 2007. He then moved to the United States to attend the University of California, Los Angeles (UCLA).

At UCLA, he pursued a rigorous academic track, completing a Doctor of Philosophy (Ph.D.) in Electrical Engineering and a Master of Arts (M.A.) in Mathematics concurrently in 2012. His dissertation work was supervised by Rupak Majumdar and Jason L. Speyer.

### Professional Appointments
Zamani is currently affiliated with the University of Colorado Boulder. His role as an associate professor spans two departments:
*   Computer Science Department
*   Department of Electrical, Computer and Energy Engineering

He maintains a curriculum vitae and professional profile hosted on the university's experts portal.

### Research and Expertise
Zamani's work is categorized under several specialized technical fields:
*   **Control Theory:** The study of how to engineer systems to behave in predictable ways.
*   **Robotics:** The design and operation of robots.
*   **Nonlinear Dynamics:** The study of systems where the output is not directly proportional to the input.
*   **Stochastic Process:** Mathematical models for random processes evolving over time.

### Identifiers and Records
*   **VIAF ID:** 7157159867678791763
*   **Library of Congress Authority ID:** nb2019019802
*   **DBLP Author ID:** 34/9188-1
*   **Mathematics Genealogy Project ID:** 263619

## Schema Markup
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## References

1. Mathematics Genealogy Project
2. [Source](https://experts.colorado.edu//vitas/164967.pdf)
3. [Source](https://experts.colorado.edu/display/fisid_164967)