Experience

Qult Technologies

• United States
• Research Services
• 1 - 100 Employee

• Chief Executive Officer

  • Jan 2021 - Present

  I am the CEO of QULT Technologies; a company that provides services in computer vision, machine learning, data analytics, and software infrastructure required to host the application on cloud and on prem. We have a history providing services and developing innovative products for several industries including Oil & Gas, Healthcare, E-commerce, Utilities, and Fintech. I am the CEO of QULT Technologies; a company that provides services in computer vision, machine learning, data analytics, and software infrastructure required to host the application on cloud and on prem. We have a history providing services and developing innovative products for several industries including Oil & Gas, Healthcare, E-commerce, Utilities, and Fintech.



NETSOL Technologies Pakistan

• Pakistan
• Information Technology & Services
• 200 - 300 Employee

• Consultant Artificial Intelligence, Machine Learning, Computer Vision

  • Feb 2020 - Present



Information Technology University

• Pakistan
• Higher Education
• 200 - 300 Employee

• Director Center of Artificial Intelligence and Computational Science

  • Jan 2017 - Present

• Associate Professor

  • May 2016 - Aug 2021

  Dr. Ali Ahmed is currently associated with the Department of Electrical Engineering at Information Technology University, Lahore as an Assistant Professor and the director of Center of Artificial Intelligence and Computational Science (CACTuS). He also serves on the management boards of industrial companies and software houses as a technical consultant. Prior to this he worked at the Department of Mathematics, MIT as a invited faculty member in the year 2017, and as a post-doctoral associate… Show more Dr. Ali Ahmed is currently associated with the Department of Electrical Engineering at Information Technology University, Lahore as an Assistant Professor and the director of Center of Artificial Intelligence and Computational Science (CACTuS). He also serves on the management boards of industrial companies and software houses as a technical consultant. Prior to this he worked at the Department of Mathematics, MIT as a invited faculty member in the year 2017, and as a post-doctoral associate from 2014 to 2016. He has also worked as a post-doctoral fellow at the pres- tigious Institute of Computational and Experimental Research in Mathemat- ics (ICERM) at Brown University, USA. He completed his PhD in electrical engineering from Georgia Institute of Technology (GaTech), USA, and has been working in the Center of Signal and Information Processing (CSIP) at GaTech. During his PhD he spent the summer of 2012 at Duke University, USA in a research program on high dimensional data analysis techniques. He received an MS in Mathematics from the Georgia Institute of Technol- ogy, Atlanta, USA; and an MS in electrical engineering from the University of Michigan, Ann Arbor, USA; and a B.Sc. in electrical engineering from the University of Engineering and Technology, Lahore.



INTECH Automation & Intelligence

• United States
• Automation Machinery Manufacturing
• 400 - 500 Employee

• Chief Data Scientist Consultant

  • May 2018 - Sep 2020

  Developing a predictive maintenance toolbox for an industrial internet of things (IIoT). The idea is to collect data from sensors monitoring industrial processes or machines and use signal processing and machine learning to extract useful information out of the data such as predicting faults ahead of time, predicting the remaining useful life, and root cause analysis of a fault. It involves an extensive use statistics, machine learning, deep learning, and signal processing to develop… Show more Developing a predictive maintenance toolbox for an industrial internet of things (IIoT). The idea is to collect data from sensors monitoring industrial processes or machines and use signal processing and machine learning to extract useful information out of the data such as predicting faults ahead of time, predicting the remaining useful life, and root cause analysis of a fault. It involves an extensive use statistics, machine learning, deep learning, and signal processing to develop algorithmic solutions to these problems and development in Python and R. Show less Developing a predictive maintenance toolbox for an industrial internet of things (IIoT). The idea is to collect data from sensors monitoring industrial processes or machines and use signal processing and machine learning to extract useful information out of the data such as predicting faults ahead of time, predicting the remaining useful life, and root cause analysis of a fault. It involves an extensive use statistics, machine learning, deep learning, and signal processing to develop… Show more Developing a predictive maintenance toolbox for an industrial internet of things (IIoT). The idea is to collect data from sensors monitoring industrial processes or machines and use signal processing and machine learning to extract useful information out of the data such as predicting faults ahead of time, predicting the remaining useful life, and root cause analysis of a fault. It involves an extensive use statistics, machine learning, deep learning, and signal processing to develop algorithmic solutions to these problems and development in Python and R. Show less



Massachusetts Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Visiting Assistant Professor

  • Apr 2017 - Oct 2017

  Imaging and Computing Lab, Department of Mathematics, MIT. Imaging and Computing Lab, Department of Mathematics, MIT.



Massachusetts Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Postdoctoral Associate

  • Sep 2014 - May 2016

  Research Scientist at the Imaging and Computing lab headed by Dr. Laurent Demanet at the Department of Mathematics, MIT. My research interest lie at the intersection of the fields of signal processing, machine learning and optimization. Research Scientist at the Imaging and Computing lab headed by Dr. Laurent Demanet at the Department of Mathematics, MIT. My research interest lie at the intersection of the fields of signal processing, machine learning and optimization.