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Name Dr. Sanay Muhammad Umar Saeed
Designation Lecturer
Department Computer Engineering (Taxila)
Highest Qualification PhD Computer Engineering, UET, Taxila
Specialization
Phone No
Cell No +923149503025
Fax No
Email [email protected]

PhD Computer Engineering 

University of Engineering and Technology, Taxila

2020

MSc Computer Engineering

University of Engineering and Technology, Taxila

2012

BSc Computer Engineering

University of Engineering and Technology, Taxila

2008

  • Human Stress Analysis and Quantification
  • EEG Signal Processing
  • Aritificial Intelligence, Machine Learning and Deep Learning
  • Internet of Things
  • Brain Computer Interface
  • EEG-based Brain-Computer Interfaces (BCI)
  • Affective Computing
  • Machine Learning & Deep Learning
  • AI in Healthcare
  • Internet of Things (IoT)
Sr No Authors Title Publication Volume Number Pages Year Publisher
1 Saeed, Sanay Muhammad Umar; Anwar, Syed Muhammad; Majid, Muhammad; Bhatti, Adnan Mehmood;  Psychological stress measurement using low cost single channel EEG headset 2015 IEEE international symposium on signal processing and information technology (ISSPIT)     581-585 2015 IEEE
2 Anwar, Syed Muhammad; Saeed, Sanay Muhammad Umar; Majid, Muhammad;  Classification of Expert-Novice Level of Mobile Game Players Using Electroencephalography Frontiers of Information Technology (FIT), 2016 International Conference on     315-318 2016 IEEE
3 Saeed, Sanay Muhammad Umar; Anwar, Syed Muhammad; Majid, Muhammad;  Quantification of human stress using commercially available single channel EEG Headset IEICE Transactions on Information and Systems 100 9 2241-2244 2017 The Institute of Electronics, Information and Communication Engineers
4 Latif, Muhammad Yasir; Naeem, Laiba; Hafeez, Tehmina; Raheel, Aasim; Saeed, Sanay Muhammad Umar; Awais, Muhammad; Alnowami, Majdi; Anwar, Syed Muhammad;  Brain computer interface based robotic arm control 2017 International Smart Cities Conference (ISC2)     01-May 2017 IEEE
5 Anwar, Syed Muhammad; Saeed, Sanay Muhammad Umar; Majid, Muhammad; Usman, Saeeda; Mehmood, Chaudhry Arshad; Liu, Wei;  A Game Player Expertise Level Classification System Using Electroencephalography (EEG) Applied Sciences 8 1 18 2017 Multidisciplinary Digital Publishing Institute
6 Umar Saeed, Sanay Muhammad; Anwar, Syed Muhammad; Majid, Muhammad; Awais, Muhammad; Alnowami, Majdi;  Selection of neural oscillatory features for human stress classification with single channel EEG headset BioMed research international 2018 1 1049257 2018 Hindawi
7 Saeed, Sanay Muhammad Umar; Anwar, Syed Muhammad; Khalid, Humaira; Majid, Muhammad; Bagci, Ulas;  EEG based classification of long-term stress using psychological labeling Sensors 20 7 1886 2020 MDPI
8 Gillani, Syeda Faiza; Saeed, Sanay Muhammad Umar; Shabbir, ZainUllah; Habib, Faisal;  Prediction of perceived stress scores using low-channel electroencephalography headband 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST)     401-406 2021 IEEE
9 Hafeez, Tehmina; Umar Saeed, Sanay Muhammad; Arsalan, Aamir; Anwar, Syed Muhammad; Ashraf, Muhammad Usman; Alsubhi, Khalid;  EEG in game user analysis: A framework for expertise classification during gameplay Plos one 16 6 e0246913 2021 Public Library of Science San Francisco, CA USA
10 Batool, Wardah; Umar Saeed, Sanay Muhammad; Majid, Muhammad;  Brain Activity Analysis of Stressed and Control Groups in Response to High Arousal Images International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services     872-883 2021 Springer International Publishing Cham
11 Ruqeyya, Ghulam; Hafeez, Tehmina; Saeed, Sanay Muhammad Umar; Ishwal, Aleeza;  EEG-based engagement index for video game players 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)     01-Jun 2022 IEEE
12 Ruqeyya, Ghulam; Saeed, Sanay Muhammad Umar;  Player engagement classification in mobile games using muse headband 2022 17th International Conference on Emerging Technologies (ICET)     83-88 2022 IEEE
13 Saeed, Bakhtawar; Arshad, Sobia; Saeed, Sanay Muhammad Umar; Azam, Muhammad Awais; Akram, Adeel; Gul, Shehla;  Intelligent Internet of Things Attack Detection: Novel Approaches and Technologies 2023 International Conference on IT and Industrial Technologies (ICIT)     01-Jun 2023 IEEE
14 Rehman, Maryam; Saeed, Sanay Muhammad Umar; Khan, Sheharyar; Noorani, Sadam Hussain; Rauf, Usman;  EEG-Based Depression Detection: A Temporal Domain Feature-Centric Machine Learning Approach 2023 International Conference on Frontiers of Information Technology (FIT)     208-213 2023 IEEE
15 Rauf, Usman; Saeed, Sanay Muhammad Umar;  Toward improved classification of perceived stress using time domain features IEEE Access 12   51650-51664 2024 IEEE
16 Ashraf, Hira; Saeed, Sanay Muhammad Umar; Khan, Sheharyar; Noorani, Sadam Hussain; Arsalan, Aamir; Rauf, Usman;  Optimal Feature-Centric Approach for EEG-Based Human Emotion Identification 2024 5th International Conference on Advancements in Computational Sciences (ICACS)     01-Jun 2024 IEEE
17 Khan, Sheharyar; Umar Saeed, Sanay Muhammad; Frnda, Jaroslav; Arsalan, Aamir; Amin, Rashid; Gantassi, Rahma; Noorani, Sadam Hussain;  A machine learning based depression screening framework using temporal domain features of the electroencephalography signals Plos one 19 3 e0299127 2024 Public Library of Science San Francisco, CA USA
18 Khan, Sheharyar; Saeed, Sanay Muhammad Umar; Rehman, Mariam; Noorani, Sadam Hussain; Rauf, Usman;  Temporal Domain Feature-Based Machine Learning Framework for Depression Screening using EEG Signals            
19 Afreen, Sadaf; Saeed, Sanay Muhammad Umar; Khan, Sheharyar;  Pictorial Task Assistance System using Electroencephalography Signals Foundation University Journal of Engineering and Applied Sciences (HEC Recognized Y Category, ISSN 2706-7351) 4 2 50-59 2024  
20 Anjum, Madiha; Batool, Wardah; Saher, Raazia; Saeed, Sanay Muhammad Umar;  Enhanced Classification of Video-Evoked Stress Response Using Power Spectral Density Features Applied Sciences 14 20 9527 2024 MDPI
21 Gul, Shehla; Arshad, Sobia; Saeed, Sanay Muhammad Umar; Akram, Adeel; Saeed, Bakhtawar; Azam, Muhammad Awais;  Improving Botnet Detection with a Generative Adversarial Network-Based Technique 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST)     564-569 2023 IEEE
22 Saeed, Bakhtawar; Arshad, Sobia; Saeed, Sanay Muhammad Umar; Azam, Muhammad Awais;  Enhancing iot security: Federated learning with gans for effective attack detection 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST)     570-575 2023 IEEE
24 Gul, Shehla; Arshad, Sobia; Saeed, Sanay Muhammad Umar; Akram, Adeel; Azam, Muhammad Awais;  WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches Computers 14 1 4 2024 MDPI
25 Khan, Sheharyar; Noorani, Sadam Hussain; Frnda, Jaroslav; Rauf, Usman; Arsalan, Aamir; Saeed, Sanay Muhammad Umar;  A Transfer Learning-based Framework for Enhanced Classification of Perceived Mental Stress using EEG Spectrograms IEEE Access       2025 IEEE
  • Solar Tracking Power Generation System
  • Brain-Controlled Robotic Arm
  • A Deep Learning-based Virtual Fashion Room
  • Stress Detection System
  • CP Robot
  • Chillax 
  • Neuramind
  • Py.Gee
  • IoT based Smart Power Generation Cycle
  •  
  • Undergraduate Scrutineer of Examination
  • Member of Self Assessment Report Program Team
  • Organiser of the Open House
  • Departmental Media Coordinator
  • Postgraduate Exam Scrutineer
  • Advisor for the session 2k24

 

  • Lab Engineer(2012-2017) ----5years
  • Lecturer(2017-till date)--- 9 years
  • Member of Pakistan Engineering Council

 

Undergraduate Courses

  • Computing Fundamentals
  • Applications of Information and Communication Technologies
  • Programming Fundamentals
  • Operating System
  • Artificial Intelligence

Postgraduate Courses

  • Internet of Things
  • Brain Computer Interface
  • Ubiquitous Computing
  • Human Computer Interaction

PhD Thesis

  • Stress Level Recognition and Detection using Electroencephalography signals (Completed)
  • Investigating EEG and Machine Learning Methods for Burnout Classification and Analysis (Under Progress)
  • Epileptic Seizure Detection and Prediction using Deep Learning Approaches (Co-Supervision)
  • Identification and Analysis of Mobile Phone Addiction in School-aged Children (Co-Supervision)

M.Sc. Thesis

  1. Measurement of Engagement in Games using Electroencephalography (Tehmina)
  2. Optimal Feature Selection for Stress Quantification using Electroencephalography (Faiza)
  3. Human Stress Assessment in Response to Multimedia Content Using Electroencephalography (Wardah)
  4. Game User Research Using Physiological Activity Analysis (Ruqqeya)
  5. Embedded Methods-based Intrusion Detection System (IDS) using Deep Learning Approach (Shehla)
  6. Federated learning for the Internet of Things (IoT) Automated Attack Detection (Bakhtawar)
  7. Visual Speller System using Electroencephalography (Sadaf)
  8. Exploring EEG and Spatial Filters for Improved Depression Diagnosis and Classification (Maryam)
  9. Discriminating Emotional States Using EEG-based Microstate Analysis
  10. A Data Diverse EEG-Based Approach to Assess Engagement in Video Advertisement

 

  • Certificate for Participation in the Research Day as a Guest Speaker, HITEC University, Taxila (2025)
  • Certificate of Participation in the 4th International Conference on Frontiers of Information Technology (FIT 2016),  Islamabad, Pakistan (December 2016).
  • Certificate of Participation for the workshop on "EEG Data Acquisition and Signal Processing" at the Neuro-Informatics Lab, SEECS-NUST (September 2016).
  • Certificate of Participation in the International Research Workshop on "Capacity Building in Research and Inferential Statistics" organized by RCTD (January 2017).
  • Certificate of Participation in the Professional Development Workshop on "Assessment Strategies & Curriculum Development" at UET Taxila (November 2017).
  • Certificate of Acknowledgement for the Orientation Session on "Professional Ethics, Communication Skills & Micro Teaching" at UET Taxila (March 2018).
  • Certificate of Excellence in "Presentation Skills" from Cornwall Education & Training (UK) LTD (December 16, 2016).
  • Certificate of Excellence in "Continuing Professional Development" from Cornwall Education & Training (UK) LTD (December 16, 2016).
  • Certificate of Excellence in "Adult Learning" from Cornwall Education & Training (UK) LTD (December 15, 2016).
  • Certificate of Excellence in "Inclusion & Diversity" from Cornwall Education & Training (UK) LTD (December 15, 2016).
  • Certificate of Excellence in "Learning Theories" from Cornwall Education & Training (UK) LTD (December 8, 2016).
  • Certificate of Excellence in "Training Practice" from Cornwall Education & Training (UK) LTD (December 9, 2016).
  • Certificate of Excellence in "Training Assessment" from Cornwall Education & Training (UK) LTD (December 9, 2016)

PhD Students

  1. Usman Rauf
    https://www.linkedin.com/in/dr-usman-rauf-994aa61b/
  2. Mona Waseem
    https://www.linkedin.com/in/mona-waseem-5aa816195/
  3. Shehryar Khan
    https://www.linkedin.com/in/sheharyar-khan79/
  4. Syed Hina Gillani
    https://hitecuni.edu.pk/Faculties/TeachingFaculty?department=CS

Simple Research Group
https://sites.google.com/site/simplrgp/