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Narjes Nourzad

ELECTRICAL ENGINEER

About

I am currently pursuing my Ph.D. in the Department of Electrical and Computer Engineering at the University of Southern California.

My research is mainly focused on the practical applications of Reinforcement Learning models applications real-world problems, especially in Communications Systems.

Explore a brief overview of my academic and research journey here.  For detailed information, please contact me.

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October 2023 - Present

Research Assistant

MULTI-ARMED BANDIT APPROACH FOR ROUTING IN AN ONLINE FASHION

Using Multi-Armed Bandit in an online fashion for routing

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

 September 2023 - Present

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

CONTEXTUAL MULTI-ARMED BANDIT APPROACH FOR RECOMMENDER SYSTEMS

Using Clustering and Contextual Multi-Armed Bandit for Recommendation Systems

June 2023 - September 2023

SEMI-COMBINATORIAL MULTI-ARMED BANDIT APPROACH FOR ANYPATH ROUTING

Research Assistant

By coupling DSEE with Anypath routing, the algorithm optimizes packet routing through continuous learning and ensures accurate delivery probability estimation, while maintaining a near-logarithmic regret bound.

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

September 2022 - June 2022

UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

LEVERAGING REINFORCEMENT LEARNING AND PREDICTION FOR A FINANCIALLY AUTONOMOUS THERMOSTAT

By using the PPO algorithm and integrating predictions of next day temperature, the developed thermostat balances the cost of having a desired temperature as well as user satisfaction.

September 2021 - June 2022

 UNIVERSITY OF TEHRAN COMPUTATIONAL AUDIO-VISION LAB

Research Assistant

SEISMIC SENSOR NETWORK SIGNAL PROCESSING

By using Deep Neural Networks, an algorithm to distinguish between earthquake signals and other signals captured on seismic sensors was developed.

June 2020 - August 2020

INTERNATIONAL INSTITUTE OF EARTHQUAKE ENGINEERING AND SEISMOLOGY

Intern

MODIFYING EARTHQUAKE SIGNALS USING SIGNAL PROCESSING ALGORITHMS

By implementing Signal Processing Algorithms, earthquake records on a given dataset were modified as part of preprocessing for further usage. After baseline adjustments, several filters were used to eliminate long-period noise.

RESEARCH EXPERIENCE

EXPERIENCE
Pubs

PUBLICATIONS

Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking - Under review at IEEE ICMLCN 2024

A Crystal Ball for Comfort: Leveraging Reinforcement Learning and Prediction for a Financially Autonomous Thermostat - Under review at IEEE ISGT 2024

EDUCATION

EDUCATION

2022 - Present

Pursuing a PhD

UNIVERSITY OF SOUTHERN CALIFORNIA

Ming Hsieh Department of Electrical and Computer Engineering​

Advisor: Professor Bhaskar Krishnamachari

2017 - 2022

Bachelor's Degree

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UNIVERSITY OF TEHRAN

Department of Electrical and Computer Engineering

Program of Study: Telecommunication​

HONORS AND AWARDS

HONORS

Awarded the  Annenberg Fellowship top off from the University of Southern California.

M.Sc. Admission from Electrical Engineering Department, University of Tehran, as an exceptional talent student.

Ranked among top 10 students in undergraduate class, Electrical Engineering Department, University of Tehran.

Ranked among top 0.5% in the nationwide university entrance exam in Mathematics and Physics fields for B.Sc. degree, 2017.

SKILLS

SKILLS
CONTACT

PROGRAMMING LANGUAGE

Python, R, MATLAB, LATEX, C++

LIBRARIES AND FRAMEWORKS

Gym, Numpy, Pandas

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