Saeid Amiri

Binghamton, NY, USA samiri1 AT binghamton dot edu

I am currently pursuing Ph.D. in the computer science at SUNY Binghamton, doing research under the supervision of Dr. Shiqi Zhang in AIR lab. My research focus is on AI frameworks for robot seuqential decision making under uncertainty that leverage supervised learning and commonsense reasoning. I am also a research educator for Binghamton Freshman Research Immersion (FRI) in 20-21 acedmic year.

Previously, I interned with ABB Robotics on DRL projects and I have served as program committee for AAAI21 and have reviewed papers for IROS20, ICRA21.


Robotics Graduate Research Intern

ABB Robotics

Implemented QT-opt, a DRL algorithm, for vision-based grasping of YuMi robots in simulation.

Spring 2020

Research Educator (Instructor)

State University of New York at Binghamton

Teaching and mentoring freshman and sophomore students with their research in robotics and ML projects. The course website can be found here.

Aug 2020 - Dec 2021

Graduate Research Assistant

State University of New York at Binghamton

Conducted research in the area of artificial intelligence and robotics by developing novel algorithms to improve robot sequential decision making. Developed and troubleshooted software for mobile and manipulator robots. Supervised new lab members (undergraduate/graduate) in research

July 2010 - December 2011


State University of New York at Binghamton

Computer Science - Robotics sequential decision making, Spoken Dialogue Systems, Multi-sensory learning
August 2017 - Present

University of Houston

Master of Science
Mechanical Engineering - Model Predictive Control, Structural Health Monitoring
January 2014 - December 2015

Sharif University of Technology

Bachelor of Science
Mechanical Engineering
August 2008 - May 2013


Guiding Robot Exploration in Reinforcement Learning via Automated Planning

Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang
In the proceedings of ICAPS-21, , [Neurips-20 workshop shorter version], , [Demo].

Learning and Reasoning for Robot Sequential Decision Making under Uncertainty

Saeid Amiri, M. Shirazi, and S. Zhang
In the proceedings of 34th conference on Artificial Intelligence (AAAI), Feb 7-12 2020, NYC, [Slides], [Poster].

Augmenting Knowledge through Statistical,Goal-oriented Human-Robot Dialog

Saeid Amiri, S. Bajracharya, C. Goktolga, J. Thomason, and S. Zhang
In the proceedings of International Conference on Intelligent Robots and Systems, [Demo] ,[Interview with TechXplore], [Arxiv].

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers

Saeid Amiri, S. Wei, S. Zhang, J. Sinapov, J Thomason, and P. Stone
In proceedings of the 2018 International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, Jul. 13-19, 2018, [BibTex], [Poster] ,[Slides].


  • Robotics:
    1. Platforms: Segway RMP110, UR5e
    2. Middleware and simulation: Robot Operating System (ROS), CoppeliaSim
  • Machine Learning:
    1. Training: PyTorch, Lightning
    2. Experiment management: Weights & Biases


You can find my blog here (under construction) where I write about my trips, hobbies and sometimes research.


  • [Fall 2020] I am serving as PC for AAAI-21.
  • [Fall 2020] I am the robotics research educator for FRI program.
  • [Spring 2020] I will be volunteering at ICLR 2020.
  • [Spring 2020] I will be serving as the reviewer in IROS 2020.
  • [Spring 2020] I am an intern in ABB Robotics for Spring 2020.
  • [Fall 2019] Our paper got accepted in AAAI-20 for oral presentation with 20% overal acceptance rate.
  • [Fall 2019] I will be attending "Future of Mechatronics & Robotics Education Workshop" in Lawrence Technological University, Southfield, MI on Sep 26-27.
  • [Summer 2019] Our IROS 2019 paper got featured in TechXplore.
  • [Summer 2019] Our paper on Augmenting knowledge through human robot-dialog has been accepted to IROS 2019.
  • [Summer 2019]I am going to attend the 2nd IEEE international symposium on multi-robot and multi-agent systems (MRS 2019), Aug 22-23, Rutgers university.
  • [Spring 2019] I am going to attend the Berkely Full Stack Deep Learning (FSDL 19).
  • [Spring 2019] I am the TA for the "Intro to AI" course, by teaching lectures, grading the assignments and responding to the students questions.
  • [Oct 2018] I will be presenting at KRR workshop: Integrating learning of Representations and models with deductive Reasoning that leverages Knowledge (R2K), ASU, Oct 23-27, 2018.
  • [July 2018] I am attending 2nd Summer school on Cognitive Robotics at MIT (MERS), July 23-27, 2018.
  • [June 2018] I will be presenting in RSS18 workshop on Models and Representations for Natural Human-Robot Communication (MRNHRC), Pittsburgh PA, 2018.
  • [April 2018] Our paper on "Multi-predicate identification using dynamically robot learned controllers" accepted to IJCAI 18.
  • [March 2018] I will be presenting in AAAI Spring symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy (SIRLE18), Stanford CA, 2018.