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Name Dr. Sanay Muhammad Umar Saeed
Designation Lecturer
Department Computer Engineering (Taxila)
Highest Qualification PhD Computer Engineering, UET, Taxila
Phone No
Cell No +923149503025
Fax No
Email [email protected]
  • PhD Computer Engineering, UET Taxila
  • Human Stress Analysis and Quantification
  • EEG Signal Processing
  • Machine and Deep Learning
  • Human Computer Interface
  • Brain Computer Interface
  • Brain Computer Interface
  • Machine Learning
  • EEG Signal Processing


Psychological stress measurement using low cost single channel EEG headset

SMU Saeed, SM Anwar, M Majid, AM Bhatti

2015 IEEE International Symposium on Signal Processing and Information …

25 2015
Selection of Neural Oscillatory Features for Human Stress Classification with Single Channel EEG Headset

U Saeed, S Muhammad, SM Anwar, M Majid, M Awais, M Alnowami

BioMed research international 2018

16 2018
EEG based Classification of Long-term Stress Using Psychological Labeling

SMU Saeed, SM Anwar, H Khalid, M Majid

Sensors 20 (7), 1886

15 2020
A Game Player Expertise Level Classification System Using Electroencephalography (EEG)

SM Anwar, SMU Saeed, M Majid, S Usman, CA Mehmood, W Liu

Applied Sciences 8 (1), 18

15 2017
Quantification of Human Stress Using Commercially Available Single Channel EEG Headset


IEICE Transactions on Information and Systems 100 (9), 2241-2244

15 2017
Brain computer interface based robotic arm control

MY Latif, L Naeem, T Hafeez, A Raheel, SMU Saeed, M Awais, ...

2017 International Smart Cities Conference (ISC2), 1-5

9 2017
Classification of Expert-Novice Level of Mobile Game Players Using Electroencephalography

SM Anwar, SMU Saeed, M Majid

Frontiers of Information Technology (FIT), 2016 International Conference on …

9 2016
Electroencephalography based Classification of Long-term Stress using Psychological Labeling

SMU Saeed, SM Anwar, H Khalid, M Majid, U Bagci

arXiv preprint arXiv:1907.07671

3 2019
Prediction of Perceived Stress Scores Using Low-Channel Electroencephalography Headband

SF Gillani, SMU Saeed, ZU Shabbir, F Habib

2021 International Bhurban Conference on Applied Sciences and Technologies …

  • Solar Tracking Power Generation System
  • Brain Controlled Robotic Arm
  • A Deep Learning based Virtual Fashion Room
  • Stress Detection System(Under Progress)
  • Undergraduate Scrutineer of Examination
  • Member of Self Assessment Report Program Team
  • Organizer of Open House


  • Lab Engineer(2012-2017)
  • Lecturer(2017-till date)
  • Member of Pakistan Engineering Council
  • Member of IEICE


  • Computing Fundamentals
  • Programming Fundamentals
  • System Programming

Signal Image Multimedia Processing and LEarning (SIMPLE) Research Group is jointly headed by Dr. Muhammad Majid and Dr. Syed Muhammad Anwar from Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila. The group is actively involved in teaching and research in the field of signal, image, multimedia processing and machine learning. Research interests of the group are 

  • Multimedia Communication and Signal Processing
    •  Image and Video Coding
    •  Multimedia Content Analysis
    •  Multimedia Quality Assessment
  •   Biomedical Signal Processing
    •  Brain Computer Interface
    •  Physiological Signal Processing
    •  Medical Imaging  
  •   Machine Learning
    •  Deep Learning
    •  Emotion Classification
    •  Health Recommendation Systems
    •  Human Behavior Modeling
    •  Regression Models for Quality Measures