I am an Assistant Professor at Faculty of Computer Science and Engineering of Shahid Beheshti University since Feb. 2019.

I’ve received my dual Ph.D. in Computer Engineering (Artificial Intelligence) and Neuroscience from Amirkabir University of Technology in co-tutelle with University of Burgundy in 2018. Afterward, I’ve continued my research as a Post Doctoral Research Fellow at Amirkabir University of Technology.

My research interests are summarized as Cognitive Robotics, Computational Intelligence, Machine Learning, and Computational Neuroscience.

I have founded and leaded the Robotics & Intelligent Autonomous Agents (RoIAA) Lab since 2021.

Education

  • Ph. D: Neuroscience (Computational Neuroscience), Université de Bourgogne Franche-Comté, Dijon, France 2015-2019.
    • Thesis: ” Control of movements by the brain“
    • Supervisor: Dr. Christian Darlot
  • Ph. D: Computer Engineering (Artificial Intelligence), Amirkabir University of Technology, Tehran, Iran 2012-2018.
    • Thesis: “A Computational Model of Basal Ganglia for Motor Control“
    • Supervisor: Prof. Mohammad Mehdi Ebadzadeh
  • M.Sc:  Computer Engineering (Artificial Intelligence), Amirkabir University of Technology, Tehran, Iran 2010-2012.
    • Dissertation: “Presenting a Fuzzy Neuronal Motor Control Model Inspired by Cerebellar Pathways“
    • Supervisor: Prof. Mohammad Mehdi Ebadzadeh
  • B. Sc:  Computer Engineering (Software), Amirkabir University of Technology, Tehran, Iran 2006-2010.
    • Dissertation: “Presenting a Persian Phrase Chunker based on Machine Learning Algorithms“
    • Supervisor: Prof. Mohammad Mehdi Homayounpour

Honors & Awards

  • IEEE Young Investigator Award
  • Iran’s National Elites Foundation’s Dr. Kazemi-Ashtiani Award
  • Iran’s National Elites Foundation’s Dr. Chamran Post Doctoral Research Scholarship
  • Campus France PhD Scholorship

Professional Activities

  • Head of Artificial Intelligence, Robotics, and Cognitive Computing group, Shahid Beheshti University, Tehran, Iran, 2023-present.
  • Assistant Professor, Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran, 2019-present.
  • Founder and Head of Robotics & Intelligent Autonomous Agents (RoIAA) Lab, Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran, 2021-present.
  • Chair of IEEE Professional Activities Committee, IEEE Iran Section, 2023-present.
  • Chair of IEEE Professional Activities Committee, IEEE Iran Section, 2022-2023.
  • Board Member of IEEE Computer Society, IEEE Iran Section, 2022-present.
  • Vice-Chair of IEEE Professional Activities Committee, IEEE Iran Section, 2021-2022.
  • Head of Innovation Center at Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran, 2021-2023.
  • Post Doctoral Research Fellow, Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran, 2018-2019.

Scientific Societies Membership

  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE), since 2022.
  • Faculty Member, Artificial Intelligence, Robotics and Cognitive Computing group, Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran, 2019-present.
  • Member of IEEE SMC Society, since 2019.
  • Member of IEEE Computational Intelligence Society, since 2021.
  • Member of IEEE Young Professional, since 2017.

Research

  • Robotics:
    • Cognitive & Developmental Robotics
    • Neuro-Robotics
    • Social Robots
    • Explainable Robotics
    • Internet-of-Robotic-Things (IoRT)
    • Telerobotic
  • Computational Intelligence & Machine Learning:
    • Fuzzy Neural Networks
    • Deep Learning
    • Reinforcement Learning
    • Evolutionary Computing & Swarm Intelligence
  • Computational Neuroscience

Teaching

  • Deep Reinforcement Learning
  • Machine Learning
  • Autonomous Mobile Robot
  • Neural Networks
  • Artificial Intelligence & Expert Systems
  • Fundamentals of Robotics
  • Signals & Systems
  • Fundamentals of Programming

Publications

  • A. Salimi-Badr, “A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation.” Applied Soft Computing (2024): 111458.
  • A. Salimi-Badr, “UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules.” Neurocomputing (2024): 127437.
  • A. Rashnu, and A. Salimi-Badr. “Integrative Deep Learning Framework for Parkinson’s Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach.” arXiv preprint arXiv:2404.15335 (2024).
  • M. H. Nasiri, S. H. M. Zonouzi and A. Salimi-Badr, “Enhancing Decisions of Goalkeeper and Kicker Players in the RoboCup 2D Simulation League through Behavioral Cloning,” 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Babol, Iran, Islamic Republic of, 2024, pp. 1-6, doi: 10.1109/AISP61396.2024.10475295.
  • A. Abdi, and A. Salimi-Badr, “ENF-S: An Evolutionary-Neuro-Fuzzy Multi-Objective Task Scheduler for Heterogeneous Multi-core Processors,” IEEE Transactions on Sustainable Computing, 2023. ( arXiv preprint is available at arXiv:2203:14717).
  • A. Parvizi and A. Salimi-Badr, “Generating Hand-Written Symbols With Trajectory Planning Using A Robotic Arm,” 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, Islamic Republic of, 2023, pp. 335-339, doi: 10.1109/ICCKE60553.2023.10326253.
  • M. Saadatinia, and A. Salimi-Badr. “An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation.” arXiv preprint arXiv:2310.16867 (2023).
  • A. Salimi-Badr, M. Hashemi, H. Saffari, “A type-2 neuro-fuzzy system with a novel learning method for Parkinson’s disease diagnosis,” Applied Intelligence, vol. 53, 2023.
  • A. Salimi-Badr, and M. Hashemi. “Early Parkinson’s Disease Diagnosis Based on Sequence Analysis,” Journal of Innovations in Computer Science and Engineering (JICSE), vol. 1, no. 1, pp. 1-10, 2023.
  • A. Salimi-Badr, “UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification,” arXiv preprint, arXiv:2211.00599
  • A. Salimi-Badr, M.M. Ebadzadeh, ” A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks ,” IEEE Transactions on Cybernetics, vol. 52, pp. 323 – 332, 2022.
  • A. Salimi-Badr, “IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation,”  Applied Soft Computing, vol. 115, pp. 108258, 2022.
  • A. Salimi-Badr, M.M. Ebadzadeh, “A Novel Learning Algorithm Based on Computing the Rules’ Desired Outputs of a TSK Fuzzy Neural Network with Non-Separable Fuzzy Rules,” Neurocomputing, vol. 470, pp. 139-153, 2022.
  • M. Vazirpanah, S. -H. Attarzadeh-Niaki, and A. Salimi-Badr, “ROS-Based Co-Simulation for Formal Cyber-Physical Robotic System Design,” 2022 27th International Computer Conference, Computer Society of Iran (CSICC), 2022, pp. 1-5, doi:10.1109/CSICC55295.2022.9780500.
  • N. Mahdian, S.H. Attarzadeh-Niaki, A. Salimi-Badr, A Systematic Embedded Software Design Flow for Robotic Applications. In 2021 11th International Conference on Computer and Knowledge Engineering (ICCKE ) 2021 Oct. 28-29. IEEE.
  • A. Salimi-Badr, M. Hashemi, A Neural-Based Approach to Aid Early Parkinson’s Disease Diagnosis. In 2020 11th International Conference on Information and Knowledge Technology (IKT) 2020 Dec 22 (pp. 23-25). IEEE.
  • C. Darlot, A. Salimi-Badr, M. Asadi-Eydivand, Z. Ghorrati, M.M. Ebadzadeh, “A computational system-level model of oculomotor pathways accounting for the representation of eye biomechanics in the cerebellar vermis,” IEEE Access, vol. 8, pp. 110859 – 110879, 2020.
  • M.M. Ebadzadeh, A. Salimi-Badr, “IC-FNN: A novel fuzzy neural network with interpretable, intuitive and correlated-contours fuzzy rules for function approximation,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 3, pp. 1288-1302, 2018.
  • A. Salimi-Badr, M.M. Ebadzadeh, and C. Darlot, “A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements,” Computers in Biology and Medicine, vol. 92, pp. 78-89, 2018.
  • A. Salimi-Badr, M.M. Ebadzadeh, and C. Darlot, “Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in presence of delay,” Biological Cybernetics, vol. 111, pp. 421-438, 2017.
  • A. Salimi-Badr, M.M. Ebadzadeh, and C. Darlot, “A possible correlation between basal ganglia motor function and the inverse kinematics calculation,” Journal of Computational Neuroscience, vol. 43, pp. 295-318, 2017.
  • M. M. Ebadzadeh, A. Salimi-Badr, “CFNN: Correlated fuzzy neural network,” Neurocomputing, vol. 148, no. 1, pp. 430-444, 2015.
  • M. M. Homayounpour, A. Salimi-Badr, “Phrase Chunking in Persian Texts,” Signal and Data Processing, vol. 10, pp. 69-86, 2013.

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