Our team


Dr. Ahmad Reza Heravi received a B.Sc. degree in electronics engineering and an M.Sc. and Ph.D. in communications engineering from the Ferdowsi University of Mashhad, Mashhad, Iran, in 2009, 2012, and 2018, respectively. His research interests are machine learning, deep learning and optimization, information theoretic learning, and time-series and signal processing. He has supervised several academic research in universities.

He has published several journal papers on optimization and neural network subjects in IEEE journals. Currently, he is the reviewer of several scientific journal papers. He has over 15 years of experience in Computer vision, Machine Learning, and Signal Processing. Now he is the AI consultant and AI manager for three European companies. As an AI lead, he has conducted several EU-granted commercial projects from 2019 to 2023.

Areas of expertise

  • Machine learning
  • Deep Learning
  • Optimization
  • Computer vision
  • Neural networks
  • Time-series processing
  • Data Mining

Research Interests

  • Machine learning
  • Deep Learning
  • Linear and Nonlinear Optimization
  • Heuristic optimization
  • Computer vision
  • Image and video processing
  • Neural networks
  • Generative models
  • Data Mining
  • Natural language Processing
  • Programming (Python, C++, MATLAB)


  • “A New Correntropy Based Conjugate Gradient Back-propagation Algorithm for Improving Training in Neural Networks,” IEEE transactions on neural network and Learning systems (Q1) . DOI: 10.1109/TNNLS.2018.2827778
  • “A Perceptual Distinguishability Predictor For JND-noise-contaminated Images,” IEEE transaction on Image Processing (Q1) , 2019. DOI: 10.1109/TIP.2018.2883893 2
  • “A new Information Theoretic Relationship between MCC and MEE”, IEEE Signal Processing Letters (Q1), 2018. DOI: 10.1109/LSP.2018.2797079
  • “Where Minimum Error Entropy Outperforms Minimum Mean Square Error: A New and Closer Look,” IEEE Access (Q1). DOI: 10.1109/ACCESS.2018.2792329
  • “A New Robust Fixed-Point Algorithm and Its Convergence Analysis,” Fixed Point Theory and Its Applications (Q2), 2017. DOI: 10.1007/s11784-017-0474-5
  • “A New Correntropy Based Method for System Identification with Exemplifications in Low SNR Communications Regime,” Neural Computing and Applications (Q2). DOI: 10.1007/s00521- 017-3306-z
  • “Comparison of the Convergence Rates of New Correntropy based Levenberg-Marquardt (CLM) Method and Fixed-Point Maximum Correntropy (FP-MCC) Algorithm” , Ahmad Reza Heravi, Ghosheh Abed Hodtani, Circuits, Systems, and Signal Processing (CSSP) (Q2) , Springer, 2018. DOI: 10.1007/s00034-017-0694-3

His google scholar page:


Conferences, Talks, and Speaking Engagements

  • “Analysis of the new text to image generative models”, Neysahbour University, Iran, 2023
  • “The future of self-driving cars and its challenges”, Quchan University of Technology, Iran, 2021
  • “How to design self-driving cars” Neyshabour University, Iran, 2020
  • “AI creativity with GANs?” Neyshabour University, Iran, 2019
  • “Why deep learning?” Neyshabour University, Iran, 2018
  • “Deep learning solutions” Imam Reza Univesity, Iran, 2018

Awards and Honors

  • The best Ph.D. student researcher at Ferdowsi University of Mashhad, Iran, 2018
  • The prize of the national elites foundation for Ph.D. students, Iran, 2018
  • Two registered national patents, Iran, 2015-2017
  • Selected as the Top10 AI talents in 1st BonsApps Open AI challenge, Bologna, 2022
  • AI consultant at the three European companies.