Ahmad Esmaeili

Ahmad Esmaeili

Ahmad Esmaeili

Assistant Professor

School of Computing · College of Engineering

Jabara Hall 221

Office hours

1:00 pm – 3:00 pm Wednesday

Academic Interests and Expertise

    • Education
      • Ph.D., Department of Computer and Information Technology, Purdue University, USA
    • Research Interests
      • Distributed Artificial Intelligence
      • Multi-Agent Systems
      • Agent-Based Modeling
      • Distributed Machine Learning
      • Reinforcement Learning

Areas of Teaching Interest

    • CS 560: Design and Analysis of Algorithms (Fall 2025)
    • CS 797O: Neural Networks and Deep Learning (Fall 2025)

Publications

    • Selected Publications
      • Ahmad Esmaeili, Zahra Ghorrati, and Eric T. Matson. “Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework” In: The International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024).
      • Zahra Ghorrati, Kourosh Shahnazari, Ahmad Esmaeili, Eric T. Matson. “Fuzzy Q-Table Reinforcement Learning for Continuous State Spaces: A Case Study on Bitcoin Futures Tradin” In: International Conference on Control, Decision and Information Technologies (CoDIT 2024).
      • Ahmad Esmaeili, Zahra Ghorrati, and Eric T. Matson. “Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization.” In: Systems 11(5) (2023).
      • Ahmad Esmaeili, John C. Gallager, John A. Springer, and Eric T. Matson. “HAMLET: A Hierarchical Agent-based Machine Learning Platform.” In: ACM Transaction on Autonomous and Adaptive Systems 16 (2022).
      • Ahmad Esmaeili, Zahra Ghorrati and Eric T. Matson. “Hierarchical Collaborative Hyperparameter Tuning” In: International Conference on Practical Applications of Agents and Multi-Agent Systems (2022).
      • Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed Motlagh, and Eric T. Matson. “Towards Topological Analysis of Networked Holonic Multi-agent Systems.” In: International Conference on Practical Applications of Agents and Multi-Agent Systems (2019).
      • Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed Motlagh, and Eric T. Matson. “A Socially-based Distributed Self-organizing Algorithm for Holonic Multi-agent Systems: Case Study in a Task Environment.” In: Cognitive Systems Research 43 (2017).
      • Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed Motlagh, and Eric T. Matson. “The Impact of Diversity on Performance of Holonic Multi-agent Systems.” In: Engineering Applications of Artificial Intelligence 5 (2016).

Professional Experience

    • Board Member
      • International Conference on Artificial Intelligence in Human-Computer Interaction (AI-HCI) (2020-2024)
    • TPC Member:
      • International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS) (2018-2024)
      • International Conference on Control, Decision and Information Technology (CoDIT) (2024)
      • International Conference on Human-Computer Interaction (HCI) (2020-2024)
      • IEEE International Conference on Robotic Computing (IRC) (2018-2021)
    • Selected Reviewing Services:
      • ACM Transactions on Autonomous and Adaptive Systems
      • IEEE Intelligent Systems
      • Journal of Robotics and Autonomous Systems
      • Journal of Swarm and Evolutionary Computation
      • Journal of Group Decision and Negotiation
      • Information Sciences Journal
      • Applied Soft Computing Journal
      • Journal of Electronics and Telecommunications Research Institute
      • International Conference on Robotics and Automation Sciences

Awards and Honors

    • Employee Recognition Award for Departmental Achievements, Purdue University (2024)
    • Bravo Award for substantial accomplishments, Purdue University (2021, 2024)
    • Polytechnic Summer Research Grant, Purdue University (2019, 2023)

Additional Information

    • Multiple Ph.D. positions with GTA and GRA funding are available in my research group. Ideal candidates should have a strong background in mathematics and programming, with research experience in machine learning and deep learning. Applicants interested in multi-agent systems and distributed machine learning are invited to email me their CV/resume.