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Name Engr. Muhammad Umar Khan
Designation Lab Engineer
Department Electronics Engineering (Taxila)
Highest Qualification
Specialization Signal Processing and Machine Learning
Phone No 051-9047716
Cell No 0333-7663231
Fax No
Email [email protected]
  • MS Electrical Engineering (Signal & Image Processing) 
  • School of Electrical Engineering & Computer Science (SEECS), NUST

  • BS Electronics Engineering
    COMSATS Institute of Information Technology.
  • Biomedical Signal Processing
  • Signal and Image Processing
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Medical Imaging
  • Statistical Signal Processing
  • Biomedical Signal/Image Processing
  • Pattern Recognition
  • Speech Processing
  • Computer Vision
  • Machine and Deep Learning
  • Time-frequency methods for Fault Identification

Journal Publications

  1. Aziz, S., Khan, M. U., Iqtidar, K., Ali, S., Remete, A. N., & Javid, M. A. Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns. Expert Systems, e13011. (IF: 2.587)
  2. Aziz, S., Khan, M. U., Rehman, A., Tariq, Z., & Iqtidar, K. Computer‐aided diagnosis of COVID‐19 disease from chest x‐ray images integrating deep feature extraction. Expert Systems, e12919. (IF: 2.587)
  3. Iqtidar, K., Qamar, U., Aziz, S., & Khan, M. U. (2021). Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns. Computers in Biology and Medicine, 138, 104926. (IF: 4.589)
  4. Khan, M. U., Aziz, S., Iqtidar, K., Zaher, G. F., Alghamdi, S., & Gull, M. (2021). A two-stage classification model integrating feature fusion for coronary artery disease detection and classification. Multimedia Tools and Applications, 1-30. (IF: 2.757)
  5. Riaz, U., Aziz, S., Umar Khan, M., Zaidi, S. A. A., Ukasha, M., & Rashid, A. A novel embedded system design for the detection and classification of cardiac disorders. Computational Intelligence. (IF: 2.33)
  6. Khan, M. U., Aziz, S., Akram, T., Amjad, F., Iqtidar, K., Nam, Y., & Khan, M. A. (2021). Expert hypertension detection system featuring pulse plethysmograph signals and hybrid feature selection and reduction scheme. Sensors, 21(1), 247. (IF: 3.576)
  7. Khan, M. U., & Aziz, S. (2021). A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension. Turkish Journal of Electrical Engineering & Computer Sciences, 29(2), 962-977. (IF: 0.806)
  8. Aziz, S., Awais, M., Khan, M. U., Iqtidar, K., & Qamar, U. (2021). Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals. Expert Systems, 38(3), e12664. (IF: 2.587)
  9. Sumair Aziz., Khan, M.U., Alhaisoni, M., Akram, T. and Altaf, M., 2020. Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features. Sensors, 20(13), p.3790. (IF: 3.576)
  10. Nadir, M., Adnan, S. M., Sumair, A. Z. I. Z., & Khan, M. U. (2020). Marine Mammals Classification using Acoustic Binary Patterns. Archives of Acoustics, 45(4), 721-731. (IF: 0.913)
  11. Sumair Aziz., Awais, M., Akram, T., Khan, U., Alhussein, M. and Aurangzeb, K., 2019. Automatic scene recognition through acoustic classification for behavioral robotics. Electronics, 8(5), p.483. (IF: 2.397)

Conference Proceedings

  1. AhmadChoudhry, Z., Shahid, H., Naqvi, S. Z. H., Aziz, S., & Khan, M. U. (2021, November). DarkNet-19 based Decision Algorithm for the Diagnosis of Ophthalmic Disorders. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-6). IEEE.
  2. Rehman, A., Tariq, Z., Jan, S. U., Aziz, S., Khan, M. U., & Chaudry, H. N. (2021, October). Transfer learning-based method for detection of COVID-19 using X-Ray Images. In 2021 International Conference on Robotics and Automation in Industry (ICRAI) (pp. 1-6). IEEE.
  3. Shahid, H., Aymin, A., Remete, A. N., Aziz, S., & Khan, M. U. (2021, October). A Survey on AI-based ECG, PPG, and PCG Signals Based Biometric Authentication System. In 2021 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube) (pp. 1-6). IEEE.
  4. Chaudary, E., Aziz, S., Khan, M. U., & Gretschmann, P. (2021, July). Music Genre Classification using Support Vector Machine and Empirical Mode Decomposition. In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) (pp. 1-5). IEEE.
  5. Shakeel, M., Mushtaq, Z., Gretschmann, P., Aziz, S., & Khan, M. U. (2021, July). Support vector machine-based diagnosis of Tuberculosis. In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) (pp. 1-6). IEEE.
  6. Amjad, F., Malik, A., Bilal, M., Khan, M. U., & Aziz, S. (2021, July). Diagnosis of Cardiac Disorders Featuring Pulse Plethysmograph Signals. In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) (pp. 1-6). IEEE.
  7. Mushtaq, Z., Shakeel, M., Alam, F., Aziz, S., & Khan, M. U. (2021, July). Phonocardiogram based Method for the Classification of Coronary Artery Diseases. In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) (pp. 1-6). IEEE.
  8. Khan, A. Z., Aamir, F., Kafeel, A., Khan, M. U., & Aziz, S. (2021, July). Freezing of Gait Detection in Parkinson’s Disease from Accelerometer Readings. In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC) (pp. 1-5). IEEE.
  9. Rehman, A., Tariq, Z., ul din Memon, S., Zaib, A., Khan, M. U., & Aziz, S. (2021, April). Cucumber Leaf Disease Classification using Local Tri-directional Patterns and Haralick Features. In 2021 International Conference on Artificial Intelligence (ICAI) (pp. 258-263). IEEE.
  10. Azam, M. A., Zaheer, A., Mukhtiar, M., Aziz, S., Khan, M. U., & Naqvi, Z. H. (2021, April). Photoplethysmography Based Detection of Social Stress. In 2021 International Conference on Artificial Intelligence (ICAI) (pp. 217-222). IEEE.
  11. Tariq, Z., Rehman, A., Aslam, T., Khan, M. U., Aziz, S., & Naqvi, S. Z. H. (2021, April). Automatic Classification of Modulation Schemes under Blind Scenario. In 2021 International Conference on Artificial Intelligence (ICAI) (pp. 203-208). IEEE.
  12. Malik, A., Naqvi, S. Z. H., Aziz, S., Khan, M. U., Hussain, T., & Hasan, F. (2021, April). Detection of Insomnia using Electrocardiography and Electromyography. In 2021 International Conference on Artificial Intelligence (ICAI) (pp. 234-239). IEEE.
  13. Abdullah, M. U. Khan, S. Aziz, A. Usman and T. Jalil, "Soft computing approach for classification of complex power quality events," 2021 International Conference on Artificial Intelligence (ICAI), 2021, pp. 223-228, doi: 10.1109/ICAI52203.2021.9445264.
  14. Naseer, S., Shah, S. M. A., Aziz, S., Khan, M. U., & Iqtidar, K. (2020, November). Vehicle Make and Model Recognition using Deep Transfer Learning and Support Vector Machines. In 2020 IEEE 23rd International Multitopic Conference (INMIC) (pp. 1-6). IEEE.
  15. Shahid, H., Butt, A., Aziz, S., Khan, M. U., & Naqvi, S. Z. H. (2020, December). Emotion Recognition System featuring a fusion of Electrocardiogram and Photoplethysmogram Features. In 2020 14th International Conference on Open Source Systems and Technologies (ICOSST) (pp. 1-6). IEEE.
  16. Aziz, S., Ahmed, M., Abbas, I., Naqvi, S. Z. H., & Khan, M. U. (2020, November). Vibration Signal Analysis Towards Early Detection of Machine Faults. In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) (pp. 89-93). IEEE.
  17. Khan, M. U., Sajid, Z., Sohail, M., Aziz, S., Ibraheem, S., & Naavi, S. Z. H. (2020, November). Electrohysterogram based Term and Preterm Delivery Classification System. In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) (pp. 83-88). IEEE.
  18. Khan, M. U., Ibraheem, S., Sohail, M., Aziz, S., Naqvi, S. Z. H., & Sajid, Z. (2020, November). Cardiotocography: An indicator to predict Vaginal and Cesarean Deliveries. In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) (pp. 77-82). IEEE.
  19. Iqtidar, K., Iqtidar, A., Ali, W., Aziz, S., & Khan, M. U. (2020, November). Image Pattern Analysis towards Classification of Skin Cancer through Dermoscopic Images. In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) (pp. 208-213). IEEE.
  20. Khan, M. U., Ali, W., Shahzad, M. F., & Aziz, S. (2020, November). A signal analysis approach towards detection and classification of power quality disturbances. In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) (pp. 71-76). IEEE.
  21. Khan, M. U., Aziz, S., Javeria, M. C., Shahjehan, A., Mushtaq, Z., & Iqtidar, K. (2020, September). ECG Signal Analysis for Classification of Congenital Heart Defects. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 1-5). IEEE.
  22. Khan, M. U., Aziz, S., Naqvi, S. Z. H., Amjad, F., & Shakeel, M. (2020, September). Pakistani Phrasal Sign Language Classification using Surface Electromyography. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 1-5). IEEE.
  23. Aziz, S., Khan, M. U., Zahoor, A., & Naqvi, S. Z. H. (2020, September). Intelligent System for Human Context Recognition. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 1-5). IEEE.
  24. Khan, M.U., Mushtaq, Z., Shakeel, M., Aziz, S. and Naqvi, S.Z.H., 2020, June. Classification of Myocardial Infarction using MFCC and Ensemble Subspace KNN. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
  25. Aziz, S., Hayat, M.M., Naqvi, S.Z.H., Furqan, M., Khan, M.U. and Zahid, M.Z., 2020, June. Electrocardiography based Biometric Verification System. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
  26. Khan, M.U., Aziz, S., Ch, J.M., Shahjehan, A., Imtiaz, A. and Waseem, A., 2020, June. Detection of Acute Coronary Syndrome using Electrocardiogram Signal Analysis. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  27. Khan, M.U., Amjad, F., Aziz, S., Naqvi, S.Z.H., Shakeel, M. and Imtiaz, M.A., 2020, June. Surface Electromyography based Pakistani Sign Language Interpreter. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
  28. Naqvi, S.Z.H., Aziz, S., Khan, M.U., Abbas, M., Haider, A. and Hashmi, H.A., 2020, June. Electrocardiography based System for Characterization of Diabetes. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  29. Aziz, S., Ibraheem, S., Malik, A., Aamir, F., Khan, M.U. and Shehzad, U., 2020, June. Electrooculugram based Communication System for People with Locked-in-Syndrome. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  30. Khan, M.U., Saad, M., Aziz, S., Ch, J.M., Naqvi, S.Z.H. and Qasim, M.A., 2020, June. Electrocardiogram based Gender Classification. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  31. Naqvi, S.Z.H., Arooj, M., Aziz, S., Khan, M.U. and Choudhary, M.A., 2020, June. Spectral Analysis of Lungs sounds for Classification of Asthma and Pneumonia Wheezing. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  32. Imtiaz, M.A., Aziz, S., Zaib, A., Maqsood, A., Khan, M.U. and Waseem, A., 2020, June. Wearable Scene Classification System for Visually Impaired Individuals. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  33. Aziz, S., Ahmed, M., Naqvi, S.Z.H., Khan, M.U., Imtiaz, A. and Waseem, A., 2020, June. Machine Bearing Fault Diagnosis System using Tri-Axial Accelerometer. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  34. Khan, M.U., Aziz, S., Zainab, A., Tanveer, H., Iqtidar, K. and Waseem, A., 2020, June. Biometric System using PCG Signal Analysis: A New Method of Person Identification. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  35. Naqvi, S.Z.H., Aziz, S., Tariq, M.H., Khan, M.U., Aslam, H.A. and Imtiaz, M.A., 2020, June. Effect of Al-Quran Recitation on Human Physiology. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
  36. Aziz, S., Bilal, M., Khan, M.U. and Amjad, F., 2020, June. Deep Learning-based Automatic Morphological Classification of Leukocytes using Blood Smears. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
  37. Khan, M.U., Choudry, Z.A., Aziz, S., Naqvi, S.Z.H., Aymin, A. and Imtiaz, M.A., 2020, June. Biometric Authentication based on EMG Signals of Speech. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
  38. Bibi, S., Javid, M.A., Muhammad, B., Habiba, U., Rashid, Q., Amin, N., Khan, M.U. and Aziz, S., 2020. Metabolic evaluation of brain tumor using magnetic resonance spectroscopy. Materials Today: Proceedings.
  39. Khan, M.U., Aziz, S., Naqvi, S.Z.H. and Rehman, A., 2020, March. Classification of Coronary Artery Diseases using Electrocardiogram Signals. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-5). IEEE.
  40. Naqvi, S.Z.H., Aziz, S., Khan, M.U., Asghar, N. and Rasool, G., 2020, March. Emotion Recognition System using Pulse Plethysmograph. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-6). IEEE.
  41. Aziz, S., Naqvi, S.Z.H., Khan, M.U. and Aslam, T., 2020, March. Electricity Theft Detection using Empirical Mode Decomposition and K-Nearest Neighbors. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-5). IEEE.
  42. Aziz, S., Khan, M.U., Usman, A. and Mobeen, A., 2020, March. Pattern Analysis for Classification of Power Quality Disturbances. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-5). IEEE.
  43. Khan, M.U., Aziz, S., Naqvi, S.Z.H., Zaib, A. and Maqsood, A., 2020, March. Pattern Analysis Towards Human Verification using Photoplethysmograph Signals. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-6). IEEE.
  44. Khan, A., Aziz, S., Bashir, M. and Khan, M.U., 2020, March. IoT and Wireless Sensor Network based Autonomous Farming Robot. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-5). IEEE.
  45. Khan, M.U., Aziz, S., Sohail, M., Naqvi, S.Z.H., Samer, S. and Sajid, Z., 2020, March. Detection of Subacute Intestinal Obstruction from Surface Electromyography Signatures. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-6). IEEE.
  46. Khan, M.U., Aziz, S., Malik, A. and Imtiaz, M.A., 2019, December. Detection of Myocardial Infarction using Pulse Plethysmograph Signals. In 2019 International Conference on Frontiers of Information Technology (FIT) (pp. 95-955). IEEE.
  47. Aziz, S., Khan, M.U., Aamir, F. and Javid, M.A., 2019, December. Electromyography (EMG) Data-Driven Load Classification using Empirical Mode Decomposition and Feature Analysis. In 2019 International Conference on Frontiers of Information Technology (FIT) (pp. 272-2725). IEEE.
  48. Aziz, S., Khan, M.U., Shakeel, M., Mushtaq, Z. and Khan, A.Z., 2019, December. An Automated System towards Diagnosis of Pneumonia using Pulmonary Auscultations. In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-7). IEEE.
  49. Khan, M.U., Aziz, S., Iqtidar, K., Saud, A. and Azhar, Z., 2019, December. Biometric Authentication System Based on Electrocardiogram (ECG). In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-6). IEEE.
  50. Khan, M.U., Aziz, S., Iqtidar, K., Zainab, A. and Saud, A., 2019, December. Prediction of Acute Coronary Syndrome Using Pulse Plethysmograph. In 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST) (pp. 1-6). IEEE.
  51. Khan, M.U., Aziz, S., Sohail, M., Shahid, A.A. and Samer, S., 2019, November. Automated Detection and Classification of Gastrointestinal Diseases using surface-EMG Signals. In 2019 22nd International Multitopic Conference (INMIC) (pp. 1-8). IEEE.
  52. Khan, M.U., Aziz, S., Amjad, F. and Mohsin, M., 2019, November. Detection of Dilated Cardiomyopathy using Pulse Plethysmographic Signal Analysis. In 2019 22nd International Multitopic Conference (INMIC) (pp. 1-5). IEEE.
  53. Aziz, S., Bashir, M., Mughal, O., Khan, M.U. and Khan, A., 2019, October. Image Pattem Classification for Plant Disease Identification using Local Tri-directional Features. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0973-0978). IEEE.
  54. Aziz, S., Khan, M.U., Choudhry, Z.A., Aymin, A. and Usman, A., 2019, October. ECG-based Biometric Authentication using Empirical Mode Decomposition and Support Vector Machines. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0906-0912). IEEE.
  55. Khan, M.U., Aziz, S., Ibraheem, S., Butt, A. and Shahid, H., 2019, October. Characterization of term and preterm deliveries using electrohysterograms signatures. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0899-0905). IEEE.
  56. Khan, M.U., Aziz, S., Bilal, M. and Aamir, M.B., 2019, August. Classification of EMG Signals for Assessment of Neuromuscular Disorder using Empirical Mode Decomposition and Logistic Regression. In 2019 International Conference on Applied and Engineering Mathematics (ICAEM) (pp. 237-243). IEEE.
  57. Khan, M.U., Imtiaz, M.A., Aziz, S., Kareem, Z., Waseem, A. and Akram, M.A., 2019, August. System Design for Early Fault Diagnosis of Machines using Vibration Features. In 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) (pp. 1-6). IEEE.
  58. Aziz, S., Kareem, Z., Khan, M.U. and Imtiaz, M.A., 2018, November. Embedded System Design for Visual Scene Classification. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 739-743). IEEE.
  • Indirect Displacement Estimation using Accelerometers.
  • Detection & Classification of Heart Murmurs and Cardiac Disorders
  • Sequential Tracking Using Particle Filters
  • Phoneme Recognition using Hidden Markov Models
  • Cancelling Direct Light Exposure and Low Light Effect in Real Time Video Encoding
  • Image Compression Using Embedded Zero Tree Wavelet Coding
  • 10-Band Audio Equalizer
  • Software Defined Radio (SDR) & some Modulation Schemes
  • Simulation of Modem
  • Automatic Detection of QRS Complex in ECG using Wavelet Analysis
  1. Advisor IEEE CES Student Branch (2018-date)
  2. Coordinator Alumni & Employer Feedback (2016-2017)

  3. Head of Alumni Affairs/Placement Services/Career Counseling (2018-date)

  4. Coordinator IEEE CES Student Branch (2015-2018)

  5. Team Lead Signal/Image Processing, SEED (2018-date)

 

  • Lab Engineer (May 2014 - Present)
    Department of Electronic Engineering
    University of Enginnering & Technology, Taxila
  • Pakistan Engineering Council (PEC)
  • Digital Signal Processing
  • Introduction to Computers
  • Computer Programming
  • Signal Processing
  • Digital Image Processing
  • Biomedical Signal Analysis
  • Biomedical Instrumentation I
  • Biomedical Instrumentation II
  • Medical Imaging
  • Computer Fundamentals and Programming
  • Object Oriented Programming
  • VLSI Design

Lab Engineer (May 2014 - Present)
Department of Electronic Engineering
University of Enginnering & Technology, Taxila

  • Availed National ICT R&D Scholarship for 4 year Bachelors of Electronics Engineering by coming 6th in the short span of just 350 short-listed candidates overall Pakistan.

  • 1st prize winner in project exhibition (BEE-HIPE) held in COMSATS Institute of Information Technology Abbottabad (2011).

  • Awarded 3rd prize winner in “Open House” of COMSATS Institute of Information Technology Abbottabad (2012) by Chairman Pakistan Engineering Council.

  • Participated in 17th & 18th International Kangaroo Mathematics Contest was in top 50 positions overall in Pakistan (2007-2008) and 1st in College.

  • Participated in EMCOT for the Project Exhibition & Presentation (2011)
  • Attended Interactive Training Course on “Role of Media in Disaster Management” held at PRESTON University, Islamabad (2013)