Short Biography

I am a Postdoctoral fellow at the Matter lab working with Prof. Alán Aspuru-Guzik, affiliated with the Department of Computer Science and Chemistry, University of Toronto. I am working on Quantum computing, focusing on near-term algorithms. I graduated in Computer Science at the Politecnico di Torino, working with Prof. Claudio Giovanni Demartini and Prof. Bartolomeo Montrucchio in the GRAINS Lab. I have a background in Mechanical and Electronic Engineering; I received my M.S. degree in Mechatronic Engineering from Politecnico di Torino in 2017 and my B.S. in Telecommunications Engineering from Urmia University (Iran 2006).
During my Ph.D., My research interest was Cyber-Physical Layer and Factory communication. I developed distributed algorithms for the Internet of Things during that time. I applied the algorithm to develop the future of factories in the manufacturing line and forge a new manufacturing era.
While working with new manufacturing methods, I learned that quantum computers could help the future of factories, and I believed that quantum computers would change our future. It is part of the next generation of the industry, and at this moment, having a perspective to use a quantum computer in the current manufacturing approach is a big step. However, making a plan for our future is essential, and it is what industry 4.0 expected from the researchers. As Industry 4.0 is named after IoT, the manufacturing would be coined to Industry 5.Q. after quantum technologies. As computer society is rebooting its technologies and protocols in each layer, it is our responsibility to think and prepare our application based on the quantum computer in the industry. I believe it would positively impact our world by consuming less energy through optimal industrial processes. This was why I started working on Machine Learning and Optimization method, and I am applying quantum computing to solve the most complex optimization problem in the industry. I am working on near-term algorithms like Variational Quantum Eigensolver VQE and Quantum Approximate Optimization Algorithm QAOA. Besides the Quantum algorithm, I am interested in the quantum inspire model to solve real industrial problems like finance and machine learning problems.

My Current Research Interest
  • Quantum Inspire Optimization
  • Machine Learning
  • Quantum Computing and Computation
  • Quantum Machine learning
My Past Research activities:
  • Automation
  • Driven Control
  • Wireless Sensor Network (WSN)
  • Internet of Things (IoT)
  • Industry 4.0 (Future of Factory)