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Associate Professor
Software Engineering, UET Taxila, Pakistan
Sheikh Zayed Institute, Children's National Hospital, Washington, DC, USA

Co-founder and CTO

Sense Digital PVT. Ltd. 

Director
Virtual Reality and Machine Learning Lab

Director
Signal Image Multimedia Processing and Learning Group

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Syed Muhammad Anwar

Associate Professor

 

Phone:

+1 202 6778 633

 

Email:

sanwar@childrensnational.org

 

Address:

Sheikh Zayed Institute, Children's National Hospital, Washington DC, USA

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Virtual Reality and Machine Learning Lab
(VRML)
VRML
Simple

Research interests of the group include,

 

  • 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

  • Medical Image Analysis

    • Segmentation

    • Detection

    • Diagnosis

    • Retreival

Signal Image Multimedia Processing and LEarning (SIMPLE) Research Group is jointly headed by Dr. Syed Muhammad Anwar and Dr. Muhammad Majid 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.

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Team Members
Team Members
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Sanay Muhammad Umar Saeed

PhD Student

Quantification of human stress using brain computer interface

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Romana Farhan

PhD Student

Security in body area networks (BAN) for remote health monitoring

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Nosheen Sohail

PhD Student

Medical Image Analysis using deep learning techniques

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Amin Ullah

PhD Student

Knowledge extraction using deep learning techniques

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Saqib Mehboob

PhD Student

Structural health monitoring using wireless sensor networks

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Haseeb Iftikhar

MS

Doctor recommender system, statistic and quantitative analysis

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Faizah Malik

MS

Sentiment analysis in health domain, a local perspective

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Samreena Aslam

MS and Research Associate

Fashion item image retreival using deep learning techniques

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Huma Shabbir

MS

Fashion image tagging in the eastern wear domain

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Khola Rafiq

MS

Detection of ischemic stroke in 3D MR images using deep learning

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Saba Naseem

MS

Efficient segmentation of blood vessels in retinal images

Alumni
Alumni

Details Coming Soon

Publications
Publications

Journal Publications

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  1. Raheel, Aasim, Syed Muhammad Anwar, and Muhammad Majid. "Emotion recognition in response to traditional and tactile enhanced multimedia using electroencephalography." Multimedia Tools and Applications (2018): 1-15. (IF: 1.5)

  2. Syed Muhammad Anwar et. al. ‘Arrhythmia Classification of ECG Signals Using Hybrid Features’, Computational and Mathematical Methods in Medicine, 2018 (IF: 1.5)

  3. Syed Muhammad Anwar et. al. Medical Image Analysis using Deep Convolutional Neural Networks: A Review. Journal of Medical Systems, Oct 2018, (IF: 2.098)

  4. Zeeshan, M., Majid, M., Nizami, I.F., Anwar, S.M., Din, I.U. and Khan, M.K., 2018. A Newly Developed Ground Truth Dataset for Visual Saliency in Videos. IEEE Access.

  5. Tooba Altaf, , Nadia Gul, Muhammad Nadeem Majeed, Muhammad Majid, Multi-class Alzheimer's disease classification using image and clinical features, Biomedical Signal Processing and Control, Volume 43, May 2018, Pages 64-74

  6. Tayyab Ateeq, Muhammad Nadeem Majeed, , Muazzam Maqsood Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI, Computers & Electrical Engineering

  7. Mustaqeem, A., and Majid, M., 2018. Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants. Computational and Mathematical Methods in Medicine, 2018.

  8. Syed Muhammad Anwar, Sanay Muhammad Umar Saeed, Muhammad Majid, Saeeda Usman, Chaudhry Arshad Mehmood, Wei Liu ‘A Mobile Game Player Expertise Level Classification
    System using Electroencephalography (EEG)’ Applied Sciences 2018(1) p. 1-15 (IF-1.689)

  9. Saddam Hussain, , Muhammad Majid, ‘Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network’ Neurocomputing, 2017

  10. Zahid Mahmood, , Muhammad Altaf, Nouman Ali, ‘A novel image retrieval based on rectangular spatial histograms of visual words’ Kuwait Journal of Science, 2018

  11. Tehmina Kulsum, , Muhammad Majid, Bilal Khan, Muhammad Ali, ‘Emotion Recognition from Facial Expressions using Hybrid Feature Descriptors’ IET Image Processing,

  12. Muhammad Majid, Muhammad Owais, , ‘Visual Saliency based redundancy allocation in HEVC compatible multiple description video coding’ DOI: 10.1007/S11042-017-5499-7

  13. Mustaqeem, Anam, , Abdul Rashid Khan, and Muhammad Majid. "A statistical analysis based recommender model for heart disease patients." 108 (2017): 134-145.

  14. Adnan Qayyum, , Muhammad Awais, Muhammad Majid, Medical image retrieval using deep convolutional neural network, Neurocomputing, Volume 266, 2017, Pages 8-20, ISSN 0925-2312

  15. SAEED, Sanay, , and Muhammad MAJID. "Quantification of Human Stress using Commercially Available Single Channel EEG Headset." IEICE Transactions on Information and Systems (IF: 0.4)

  16. Maqsood, M., Habib, H.A., ., Ghazanfar, M.A. and Nawaz, T., 2017. A Comparative Study of Classifier Based Mispronunciation Detection System for Confusing. The Nucleus, 54(2), pp.114-120.

  17. N. Shaukat, S.M. Ali, C.A. Mehmood, B. Khan, M. Jawad, U. Farid, Z. Ullah, , M. Majid, A survey on consumers empowerment, communication technologies, and renewable generation penetration within Smart Grid, Renewable and Sustainable Energy Reviews, Available online 16 June 2017, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2017.05.208 (IF: 8.05)

  18. N. Shaukat, B. Khan, S.M. Ali, C.A. Mehmood, J. Khan, U. Farid, M. Majid, , M. Jawad, Z. Ullah, A survey on electric vehicle transportation within smart grid system, Renewable and Sustainable Energy Reviews, Available online 16 June 2017, ISSN 1364-0321, (IF: 8.05)

  19. Qayyum, H., Majid, M., ., & Khan, B. (2017). Facial Expression Recognition Using Stationary Wavelet Transform Features. , .

  20. Waqar Uddin, Bilal Khan, Neelofar Shaukat, Muhammad Majid and , ” Biogas Potential for Electric Power Generation in Pakistan: A Survey”, in Renewable & Sustainable Energy Reviews Vol. 54, pp. 25-33, February 2016. (IF=8.05)

  21. Ali SM, Mehmood CA, Khan B, Jawad M, Farid U, . (2016) Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids. PLOS ONE 11(6): e0156849. (IF 2.86)

  22. Zahid Mehmood, , Nouman Ali, Hafiz Adnan Habib, and Muhammad Rashid, “A Novel Image Retrieval Based on a Combination of Local and Global Histograms of Visual Words,” Mathematical Problems in Engineering, vol. 2016, Article ID 8217250, 12 pages, 2016. (IF: 0.8)

  23. Adnan Mehmood Bhatti, Muhammad Majid, , Bilal Khan, Human emotion recognition and analysis in response to audio music using brain signals, Computers in Human Behavior, Volume 65, December 2016, Pages 267-275. (IF: 3.4)

  24. Mudassir Mehmood Ali, , Mahrukh Mehmood, Aftab Aslam and Naseer Ahmed, 'Enterprise Based Architecture for Securing Information in Cloud Network' MAGNT Research Report, Vol.3 (9). 2015 PP. 275-280.

  25. Asma Shaheen, " Feature Extraction and Classification of Epilepsy in Different Seizure Types: A Survey", “Current Medical Imaging Reviews”, Vol. 10, No.2, 2014.[IF 0.730]

  26. Sobia Arshad, , Dynamic Frame Sizing with Grouping Slotted Aloha for UHF RFID Networks. 62(18):28-33, January 2013. Foundation of Computer Science, New York, USA.

  27. Shumaila, , Power Efficient and Secure IPV6 Robust Header Compression Technique for Low Power Wireless Personal Area Networks. International Journal of Computer Applications 62(18):10-14, January 2013. Foundation of Computer Science, New York, USA.

 

Conferences

 

  1. SM Anwar, GG Cook, MNJ Paley, ‘Modelling of neuronal fields for direct MR detection’ 17th Annual NMR Symposium Sheffield, March 2008.

  2. SM Anwar, GG Cook, LS Chow, MNJ Paley, ‘Hybrid modelling of axonal magnetic fields for direct MR neuronal detection estimation’, 17th Annual Proc. Intl. Soc. Mag. Reson. Med. Hawaii USA, Apr 2009.

  3. SM Anwar, GG Cook, LS Chow, MNJ Paley, ‘Multiple Voxel Axonal Modelling for direct neuronal detection’ 15th BC-ISMRM Annual Meeting, Cardiff UK, Sep 2009.

  4. SM Anwar, GG Cook, MNJ Paley, ‘Modelling various firing delays for direct neuronal detection’ 403, ESMRMB 26th Annual Scientific Meeting, Antalya Turkey, 1-3 Oct 2009.

  5. SM Anwar, GG Cook, MNJ Paley 'A theoretical Direct Neuronal Detection study to estimate percentage local field perturbations' Proc. Intl. Soc. Mag. Reson. Med. 18, Stockholm Sweden, May 2010, pp 3412

  6. MNJ Paley, S Reynolds, LS Chow, , GG Cook, ‘Investigating the Earthworm (Lubricus Terrestris) as a Model for NcMRI at 9.4T’ Proc. Intl. Soc. Mag. Reson. Med. 18, Stockholm Sweden, May 2010, pp 3413

  7. SM Anwar, GG Cook, MNJ Paley, ‘Separating noise from neuronal signals using Independent Component Analysis for Direct Neuronal Detection’ 16th Annual Meeting BC-ISMRM, Nottingham, Sep 2010

  8. Anwar, S.M.; Cook, G.; Paley, M.; , "Modelling of axonal B fields for Direct Neuronal Detection (DND) using MRI," Antennas and Propagation Conference (LAPC), 2010 Loughborough , vol., no., pp.549-552, 8-9 Nov. 2010

  9. Anwar, S.M.; Cook, G.; Paley, M.; , "Hybridized axonal field model for signal estimation in magnetic resonance imaging," Antennas and Propagation (EUCAP), Proceedings of the 5th European Conference on , vol., no., pp.1300-1303, 11-15 April 2011

  10. H. Hilliard, , S. Reynolds, G. Cook, M. Paley, “Investigating ncMRI in the human arm using transcutaneous electrical nerve stimulation”, BCISMRM, Manchester Sep, 2011.

  11. Ruhma Sumbal, Muhammad Majid, , Region of interest (ROI) based scalable multiple description image coding using MDSQ-SR, International Conference on Emerging Technologies (ICET), Islamabad, (2013), pp., IEEE

  12. Syed M Anwar, M Majid et. Al, Mapping Brain Activity using wearable EEG Sensors for mobile applications, 2nd International conference on multimedia and human computer interaction, Prague, Aug 2014

  13. Anum Abdul Salam, Usman Akram, , 'A Review Analysis on Early Glaucoma Detection Using Structural Features' IEEE IST Sep 2015

  14. Salam, Anum Abdul; Akram, M.Usman; Abbas, Sarmad; ., "Optic disc localization using local vessel based features and support vector machine," in Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on , vol., no., pp.1-6, 2-4 Nov. 2015

  15. Saeed, Sanay Muhammad Umar, et al. "Psychological stress measurement using low cost single channel EEG headset." 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2015.

  16. Salam, A.A., Akram, M.U., Wazir, K., . and Majid, M., 2015, December. Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features. In 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (pp. 370-374). IEEE

  17. Aamir Arsalan, Muhammad Majid, , 'Panoramic Video Stabilization based on Rotational Damping Filter' IEEE IBCAST, Islamabad, January 2016.

  18. A. Raheel, , M. Majid, B. Khan and Ehatisham-ul-Haq, "Real time text speller based on eye movement classification using wearable EEG sensors," , London, 2016, pp. 161-164.

  19. S. Arshad, M. H. Nazir, , A. Shahzadi and Z. Anwar, "Optimal enhanced dynamic framed slotted Aloha OEDFSA," , Dublin, 2016, pp. 567-572.

  20. Syed Anwar, Sanay Saeed and Muhammad Majid, ‘Classification of Expert-Novice Level of Mobile Game Players using Electroencephalography’ FIT, IEEE, 2016

  21. Syed M. Anwar, Talha Shahzad, Zunaira Sattar, Rahma Khan, Muhammad Majid, ‘A Game Recommender System Using Collaborative Filtering (GAMBIT)’ IEEE IBCAST, January 2017

  22. Syed M Anwar, Fozia Arshad, Muhammad Majid, ‘Fast Wavelet based Image Characterization for Content based Medical Image Retrieval’ CCODE IEEE March 2017.  

  23. Saddam Hussain, , Muhammad Majid, ‘Brain Tumor Segmentation Using Cascaded Deep Convolutional Neural Network’ IEEE EMBC July 2017

  24. Anam Mustaqeem, , ‘Wrapper Method for Feature Selection to Classify Cardiac Arrhythmia’ IEEE EMBC July 2017

  25. Maheen Gul, Electrocardiogram Signal Classification to Detect Arrhythmia with Improved Features, IEEE IST October 2017

  26. Ammarah Farooq, , Muhammad Awais, 'A Deep CNN based Multi-class Classification of Alzheimer's Disease using MRI' IEEE October 2017

  27. Muhammad Yasir, , ‘Brain Computer Interface Based Robotic Arm control’ IEEE ISC2, China, Sep 2017

  28. Ammarah Farooq, , ‘Artificial Intelligence based Smart Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment’, IEEE ISC2, China, Sep 2017.

  29. Tooba Altaf, , ‘Multi-class Alzheimer Disease Classification using Hybrid Features’ FTC, Vancouver Canada Nov 2017

  30. Mansoor, Z., Ghazanfar, M.A., ., Alfakeeh, A.S. and Alyoubi, K.H., 2018, April. Pain Prediction in Humans using Human Brain Activity Data. In Companion of the The Web Conference 2018 on The Web Conference 2018 (pp. 359-364). International World Wide Web Conferences Steering Committee.

  31. Muhammad Awais Azam, Aeman shahzadi, Asra khalid, *, Usman Naeem ‘Smartphone Based Human Breath Analysis from Respiratory Sounds’ 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, HI, USA, July 2018

  32. Syed Anwar*, Sobia Yousaf, Muhammad Majid ‘Brain Tumor Segmentation on Multimodal MRI Scans Using EMAP Algorithm’ 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, HI, USA, July 2018

  33. Syed Muhammad Anwar et. al. ‘Segmentation of Liver Tumor for Computer Aided Diagnosis’ IEEE EMBC IECBES, Malaysia, Dec 2018

Current Courses

Current Courses

Artificial Neural Network
7th Semester, Software Engineering

Advanced Machine Learning
MS, PhD Spring 2022

Contact
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