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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 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
| TITLE |
CITED BY |
YEAR |
|---|---|---|
| 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
SMU SAEED, SM ANWAR, M MAJID 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 … |
2021 |
- 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