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Faculty Profile

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Dr. Ahmed Saeed Khattak

Senior Engineer
Area of Interest: Data Science and Machine Learning
Email: [email protected]
Phone: +92-992-383591-5
 
Academics/ Degrees
 Ph.D.  University of Engineering and Technology, Taxila (Jan 2020)
Center for Advanced Studies in Engineering (CASE) Master’s in Computer Engineering (Aug, 2006)     
Moscow Power Engineering Institute (Technical University), BS Computer Engineering (grade excellent/A grade), (July 2001)      
 
Profile/Bio

 PROFESSIONAL AND RESEARCH EXPERIENCE:

 

ACADEMIC EXPERIENCE

COMSATS University (Feb 2015 – till date)

 

Senior Engineer (equivalent to Assistant Professor)

         i.            M-Phil students:

§  Lungs Cancer Diagnosis using Deep Neural Network

§  Activity Recognition using a combination of CNN and LSTM

§  ECG processing using deep neural networks

§  Diabetic retinopathy classification of non-proliferative/proliferative lesions (Co-Supervisor for this PhD. Research

       ii.                        Workshop on Machine Learning:

INDUSTRIAL EXPERIENCE

Vision Photonics (Pvt) Ltd. (Aug 2013 – Feb 2015)

Senior Manager: Responsible for liaison with different organizations for Business Development.

 

Air Weapons Complex (AWC) (Aug 2005 – Aug 2013)

Consultant electronics and algorithm design team: Designed multilayer electronics of the camera acquisition boards for research & development of image processing and computer vision algorithms and implementation in Verilog HDL as well as verification test benches for validating the algorithms.

 

Carrier Telephone Industries, Islamabad (May 2002 – Aug 2005)

Design Engineer: Design and development of hardware/firmware of Analog and digital interface for our Multi-channel Digital Radio product.

 

 
 
Research Interests
  • Data Science and Big data analytics
  • Machine learning model training for computer aided diagnostic systems in health systems
  • Deep learning architectures in the context of medical imaging domain
 
Students Supervised

Masters

§  Lungs Cancer Diagnosis using Deep Neural Network

§  Activity Recognition using a combination of CNN and LSTM

§  ECG processing using deep neural networks

§  Diabetic retinopathy classification of non-proliferative/proliferative lesions (Co-Supervisor for this PhD. Research