Yasser Mohammad


  • 2023/11/03: I will be giving a tutorial about Reinforcement Learning for Automated Negotiation applied to SCML at the AJCAI 2023 conference. See the tutorial webpage here
  • 2023/09/19: I will be giving a tutorial about Automated Negotiation in Supply Chains at the IEEE ICA 2023 conference. See the tutorial webpage here
  • 2022/10/24: I will be giving a presentation about our new Generalized Bargaining Mechanisms at the IBM/DIMACS Workshop on Bridging Game Theory and Machine Learning for Multi-party Decision Making this Thursday (2022/10/27).
  • 2022/1/15: We will be giving a tutorial on Automated Negotiations at AAAI 2022 (online) on February 23rdth (See the list of tutorials on AAAI's web page here). The tutorial site now open.
  • 2020/11/20, My paper "Optimal Deterministic Time-based Policy in
    Automated Negotiations" was a runner for the best paper at PRIMA 2020.
  • 2020/11/10: I will be giving a tutorial on Automated Negotiations at PRIMA 2020 (online) on 20th of this month (See here). The tutorial site now open. The corresponding GitHub repository can be found here.
  • 2020/8/30: The qualifications for the SCML competition ( a part of ANAC2020 @ IJCAI2020) was completed and the finalists announced.
  • 2020/8/1: I started a new visiting researcher position at RIKEN AIP
  • 2019/10/6: I will be giving a tutorial on Automated Negotiations at PRIMA 2019 in Italy on 29th of this month (See here). The tutorial site is now up and running
Thank you for visiting my page

I am a principal researcher at the Data Science Research Laboratories, NEC, Japan  and an Associate Professor at Assiut University, Egypt.

I also hold a visiting researcher positions at  the Artificial Intelligence Research Center [AIRC]AIST and the center of Advanced Intelligence Project (AIP), RIKEN.

My research interests span the areas of artificial intelligence applied to automated negotiation, robotics, HRI, multiagent systems, machine learning, and time series analysis.

I worked in academia, small startups, research companies, and research institutes collaborating with engineers, psychologists, and mathematicians.

Since 2010, I taught at all levels from freshmen courses to advanced PhD level courses in computer science, informatics, applied mathematics, software engineering, mechatronics, and robotics.

And, I am still learning ...


You can find my CV as of August 2022 here



Time Series Analysis

Time-series are everywhere. My research related to TSA focuses mostly on change point discovery, motif discovery and causality analysis. We developed several algorithms for each of these problems that are appropriate under a wide variety of circumstances.

Machine Learning

There is no escaping ML these days. Over the years, we utilized ML for solving several problems in robotics, time-series analysis, pyshiopsychological signal analysis, activity recognition, etc. Most of our work in this area is of applied nature.

Multiagent Systems

My main focus in MAS research is on situated automatic and autonomous negotiation under uncertainty. We are also starting to investigate simultaneous negotiations with uncertainty.


In robotics, my main interest was the development of a robotic system capable of interacting naturally with people and learning through these interactions.