top of page
IMG_7593.HEIC

About

I am currently pursuing my Ph.D. in the Department of Electrical and Computer Engineering at the University of Southern California, where I work under the supervision of Professor Bhaskar Krishnamachari.​

​

My research focuses on the practical use of reinforcement learning (RL) and large language models (LLMs) to solve real-world problems in dynamic and resource-constrained environments. I’m particularly interested in how learning-based systems can support adaptive decision-making under uncertainty, with applications in next-generation networks, task scheduling, and distributed systems

​

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

  • icons8-linkedin
  • icons8-google-scholar-50
  • icons8-github

RESEARCH EXPERIENCE

EXPERIENCE

November 2024 - Present

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

ADAPTIVE UNIFIED REASONING AND AUTOMATION BASED ON LLMS AND MARL FOR NEXTG CELLULAR NETWORKS

Integrating Multi-Agent Reinforcement Learning with Large Language Models to develop a framework that manages the complexity and dynamism of 6G networks by combining high-level reasoning with decentralized, real-time decision-making.

June 2024 - Present

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

GCNSCHEDULING BY LEVERAGING DEEP REINFORCEMENT LEARNING

Developing a deep actor-critic framework that integrates a multi-branch graph neural network for task prioritization, combined with a differentiable twin network that approximates heuristic scheduling decisions to enable efficient, gradient-based training in non-differentiable environments.

December 2023 - May 2024

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

CORRELATED MULTI-ARMED BANDITS 

Using the correlation between arms to lower the regret bound by performing more efficient exploration without using any/minimal prior information.

 September 2023 - December 2023

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

ANRGLab - UNIVERSITY OF SOUTHERN CALIFORNIA

Research Assistant

SEMI-COMBINATORIAL MULTI-ARMED BANDIT APPROACH FOR ANYPATH ROUTING

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.

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.

Pubs

PUBLICATIONS

Actor-Twin Framework for Task Graph Scheduling - Adaptive and Learning Agents (ALA) workshop - AAMAS 2025

A Crystal Ball for Comfort: Leveraging Reinforcement Learning and Prediction for a Financially Autonomous Thermostat - Deployable RL workshop - RLconference 2024

Smart Crystal Ball on a Budget: Reinforcement Learning and Prediction for Budget-Friendly Comfort - IEEE ICA 2024

CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health -  MOBILESoft 2024

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

EDUCATION

EDUCATION

2024 - Present

Pursuing a PhD

Major in EEMinor in Math

UNIVERSITY OF SOUTHERN CALIFORNIA

Ming Hsieh Department of Electrical and Computer Engineering​

Advisor: Professor Bhaskar Krishnamachari

2022 - 2024

Master's Degree

UNIVERSITY OF SOUTHERN CALIFORNIA

Ming Hsieh Department of Electrical and Computer Engineering​

Advisor: Professor Bhaskar Krishnamachari

433px-University_of_Tehran_logo_edited.png

2017 - 2022

Bachelor's Degree

UNIVERSITY OF TEHRAN

Department of Electrical and Computer Engineering

Program of Study: Telecommunication​

HONORS AND AWARDS

HONORS

Awarded the Outstanding Poster Award at the 13th Annual Research Festival, University of Southern California

Awarded the  Annenberg Fellowship top off, 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

Pytorch, Gymnasium(Gym), Numpy, Pandas, Tianshou

bottom of page