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.
[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.
Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang, "Guiding Robot Exploration in Reinforcement Learning via Automated Planning", To appear in the proceedings of ICAPS-21, [Neurips workshop shorter version].
[Keywords: Model-based RL]
Saeid Amiri, S. Wei, S. Zhang, J. Sinapov, J Thomason, and P. Stone,"Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers".In proceedings of the AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy, Stanford, CA, Mar. 26-28, 2018.
Ph.D. in Computer Science, SUNY Binghamton, 2018 - Present
Ph.D. in Computer Science, Cleveland State University, 2017 - 2018 (transferred)
MSc in Mechanical Engineering, University of Houston, 2014 - 2015
BSc in Mechanical Engineering , Sharif University of Technology, 2008 - 2013
I am co-teaching CS/EECE 115 in Spring-21. You can find course details here.
Analysis of mainstream media posts on social media platforms: Designed a pipeline to continuously crawl data from YouTube and Twitter to store in a database for post-analysis. Used text mining and unsupervised ML techniques to study the the topics each news agency focuses. Studied the pace of users interaction for each selected news agency and compared them across their social media platforms, [Source, Report].
Handwriting text recognition web app (ongoing):
Using TensorFlow to build a handwriting recognition model from scratch, to be deployed it as a web service.
My "post" on Instructables on how to take light trail photos.