Mohammad Khalooei – Leading Researcher in Robust Machine learning
Congratulations, Mr Mohammad Khalooei, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!
Mr Mohammad Khalooei, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amirkabir University of Technology, Iran. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.
📚 Education:
He is currently a Ph.D. candidate in Computer Engineering (Artificial Intelligence) at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, a position he has held since 2017. Under the supervision of Prof. Mohammad Mehdi Homayounpour and Dr. Maryam Amirmazlaghani, he is actively engaged in advancing his research in the field of Artificial Intelligence. Prior to this, he earned his MSc in Computer Engineering (Artificial Intelligence) from the same institution, graduating in 2017 with an outstanding GPA of 18.79/20. During his master’s program, he worked under the guidance of Prof. Dr. Mohammad Fakhredanesh and Dr. Mohammad Sabokrou, focusing on dominant and rare event detection and localization in video using deep learning methods. His remarkable academic achievements were acknowledged with the first rank among all computer engineering students at the university since 2015.
Before pursuing his master’s degree, he completed his BSc in Computer Engineering (Software Engineering) at Vali-e-Asr University of Rafsanjan, Kerman, Iran, from 2011 to 2015. With a GPA of 17.54/20, he excelled in his academic endeavors. His undergraduate thesis, conducted under the supervision of Dr. Seyyed Mojtaba Sabbagh, Mr. Alireza Mohammadi, and Mis. Fahimeh Dabbaghi, involved replacing the Differential Evolution, Particle Swarm Optimization, and an adaptive Markov Chain Monte Carlo simulation algorithms in the Hydrus modeling project. Notably, he achieved the top position among all computer engineering students at the university from 2011 onwards.
His educational journey began with a Diploma in Mathematics and Physics at Shohada10 High School in Kerman, Iran, where he completed his studies from 1997 to 2011.
🌐 Profile Links:
Awards and Honors:
2020 Full scholarship award at CIFAR Deep Learning and Reinforcement Learning Summer School hosted by CIFAR and Mila, with participation and support from Amii and the Vector Institute. 2020 Invited to attend the Microsoft Research Frontiers in Machine Learning 2020 virtual event. 2020 Reviewer of the International Conference on Learning Representations (ICLR). 2020 Reviewer of the International Conference on Machine Learning (ICML). 2018 Outstanding contribution award in reviewing Elsevier Pattern Recognition Letters Journal, International Association for Pattern Recognition. 2018 Best Hackathon potential Idea award at “Vision is APP to you,” Achieving the best idea of Apple Foundation Program certificate, Italy. 2018 Full scholarship award at Machine and Vision Intelligence school, International Association for Pattern Recognition, Under supervision of Prof. Alfredo Petrosino, Italy. 2017 1st of 12th, Achieving the highest GPA among all Artificial intelligence students at MUT, Tehran, IRAN.
Experience:
Fall 2019 Teacher Assistant, Speech and audio Signal Processing, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Prof. Mohammad Mehdi Homayounpour. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 2019 Lecturer, Robustness of Deep Neural Networks, Sharif University of Technology, Winter Seminar Series (WSS) workshop. Spring 2019 Teacher Assistant, Convex Optimization, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Maryam Amirmazlaghani. 2019 Speaker, Adversarial Machine learning, Amirkabir University of Technology (Tehran Polytechnic), AAIC competition workshop. Fall 2018 Teacher Assistant, Statistical Machine Learning, Amirkabir University of Technology (Tehran Polytechnic), Under the supervision of Dr. Ahmad Nickabadi. 🗣 2018 Speaker, Machine learning in a life of points landscape, Amirkabir University of Technology (Tehran Polytechnic).
Research Experiences:
2017-Now Theoretical and practical research on defending against Adversarial Attack towards Deep Neural Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Theoretical research on Optimization of Generative Adversarial Networks, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on Self-Attention Generative Adversarial Network, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2017 Practical research on hot topic of Neural network papers (CycleGAN, UNet), Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Project Experiences: 🗣
2019 Generating Adversarial Examples for Speech Recognition, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Representational space visualization, Laboratory of Intelligence and Multimedia Processing, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Chief Technology Officer (CTO), 5th Amirkabir Artificial Intelligence competitions, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. 2019 Artificial Intelligence and the Future of Public Policy of IRAN, National Elites Foundation, Tehran, Iran.
Computer Skills:
- Languages: Python, Java, C/C++, C#, MATLAB, Linux Shell Script. 🛡
- Adversarial ML: AdverTorch, CleverHans, Foolbox, IBM-ART. 🤖
- Deep learning: PyTorch, TensorFlow, Keras. 🌐 Large scale ML: Apache Mahout, Spark MLlib.