Education

• Ph.D in Engineering, University of Southern California 2024 [Expected]
• Master of Science in Computer Science, University of Southern California 2022

• Master of Science in Engineering, Sharif University of Technology 2018
• Bachelor of Science in Engineering, Sharif University of Technology 2015

Work experience

• Research Assistant at Control and Uncertainty Quantification Lab, USC [Jan 2019-Now]
  • Project: Deep Reinforcement Learing in measruement optimization
  • Supervisor: Professor Johnson
• Research Assistant at CPS-VIDA Lab, USC [Summer 2022-Now]
  • Project: Adversarial framework for automatic testing of cyber-physical systems
  • Supervisor: Professor Deshmukh
• NLP Research Scientist Intern at Got It AI [Summer 2021]
  • Project: Building a Name Entity Recognition pipeline that can extract 9 entities of address, phone number, email, name, url, money, date, time and number in chats
  • Supervisors: Nikhil Varghese and Amol Kelkar

Skills

• Programming Languages
  • Python | R | MATLAB
• ML and Deep Learning
  • Pytorch | Tensorflow | PyG | Keras | Huggingface | Scikit-learn
• Reinforcement Learning
  • OpenAI Gym | Petting zoo | Stable baselines
• Computer Vision
  • OpenCV
• Tools
  • Git | Docker | Weights-and-Biases(WandB)

Publications

A probabilistic approach to heterogeneous sensor placement: Algorithm and reward design [under preparation]

Heterogeneous sensor placement under uncertainty considering sensor quality [under preparation]

Robustness guarantees via adversarial agent sets, a game theoretic approach [under preparation]

Measurement Optimization under Uncertainty using Deep Reinforcement Learning

Jabini, A., & Johnson, E. A. (2023). Measurement Optimization under Uncertainty using Deep Reinforcement Learning. arXiv preprint arXiv:2303.09750.

A Deep Reinforcement Learning Approach to Sensor Placement under Uncertainty

Jabini, A., & Johnson, E. A. (2022). A Deep Reinforcement Learning Approach to Sensor Placement under Uncertainty. IFAC-PapersOnLine, 55(27), 178-183.

Probabilistic Blind Identification Of Soil-Structure Systems Using Extended Kalman Filter

Jabini, A., M. Mahsuli, and S. F. Ghahari. "PROBABILISTIC BLIND IDENTIFICATION OF SOIL-STRUCTURE SYSTEMS USING EXTENDED KALMAN FILTER."

Awards and honors

Teaching

Teaching Assitant for Dynamics of Structures

Teaching Assistant for Theory of Structures

Leadership

• Research mentor at Viterbi Summber institute (Summer 2020): Mentored 10 incoming USC undergraduate students in a 4-week project. Thought programming with MATLAB. Results were presented in an online poster session to 100+ audience.
• Department senator at Viterbi Graduate Student Association (VGSA) (Fall and spring 2020): Chosen by department-wide election; Coordinated social, academic and career events for the department.
• Reseach mentor for undergradute students (Summer 2020) Mentored four undergraduate students in a research project.
• Research mentor at Viterbi Summber institute (Summer 2019) Mentored two incoming USC undergraduate students in a project.