Dr. Ikram Ullah Khosa
Assistant Professor, Electrical and Computer Engineering
Area of Interest: Digital Image Processing, Computer Vision, Machine Learning
Tel # (Off): 111-001-007   (164)
HEC approved PhD Supervisor

Biography

Ikramullah Khosa completed his BSc Electrical Engineering from University College of Engineering and Technology (UCET), Bahauddin Zakariya University (BZU) Multan in 2005. He completed his MS Electrical (Telecommunication) Engineering in 2010 from Military College of Signals (MCS), National University of Sciences and Technology (NUST), Islamabad. He completed his PhD from Department of Electronics and Telecmmunication (DET), Politechnical University of Turin (Politecnico di Torino), Turin, Italy in 2015 under HEC Faculty Development Program for UETs/UESTPs. Currently he is serving as Assistant Professor at Electrical and Computer Engineering department, COMSATS University Islamabad, Lahore Campus. 

He has been a reviewer for many Journals including IEEE Transactions on Circuits and Systems II, neural Computing and Applications, IEEE Access, Applied Science, Energies and Sensors. He has a teachning experience of more than 12 years for Electrical and Computer Engineering at graduate and graduate level.

 

Areas of Research

  • Image Processing: Applications of image processing, enhancement, feature extraction 
  • Computer Vision: Object Recognition, Classification, Segmentation
  • Machine Learning: Regression, Classification, Clustering, Prediction and Estimation, Time-series forecasting, Data Analysis, Data Science, Data Visualization

 

PhD Thesis

  • Human Gait Analysis and Identification using Pose Estimation (In Progress)
  • Concealed Object Detection in Millimeter Wave Images (In Progress)
  • EMG Data Anlysis and Classification for Rehabilitaion Process (In Progress)

MS Thesis

  • Computer Vision-based Forensic Assistance for Weapon Identification (2023)
  • Foot Infection Classification in Diabetic Patients using Thermographic Images (2022)
  • Blood Glucose Forecasting in Type 1 Diebetes Mellitus Patients using Machine Learning Techniques (2022)
  • Anomaly Detection and Short-term Forecasting in Electrical Load using Machine Learning (2021)
  • Improving Detection and Localization of Concealed Objects in Passive Millimeter Wave Images via Super Resolution (2020)
  • Binary and Multi-class Classification of Breast Cancer in Histopathological Images using Neural Networks (2019)
  • Economic Risk Assessment and Estimation of Associated Factors Due to Major Power Outages (2019)
  • Photovoltaic Cell Health Assessment using Image Processing and Neural Networks (2019)
  • Financial Risk Assessment based on Disaster-induced Power Outages (2019)
  • Short term and Medium term Electrical Load Forecasting for an Urban 11 KV Feeder (2018)
  • Pattern Classification in Mammographic Images for Breast Cancer Detection (2017)

Undergraduate Final Year Projects

  • Computer Vision Based Real Time Categorization And Health Inspection Of Apples (Spring 2023)
  • Computer Vision Based Fire Detection And Extinguisher System For An Indoor Environment (Spring 2023)
  • Machine Vision Based Fruit Quality Testing (Spring 2023)
  • Computer vision-based prototype development for drivers’ drowsiness detection in real time (Spring 2022)
  • An Intelligent Health Assessment System for Crops using Drone (Fall 2020) 
  • Automatic Attendance System using Facial Recognition (Fall 2019)
  • Visual Tracking using Neural Network (Fall 2018)
  • Smart Health Consultation and Recommender System (Spring 2018)
  • Segmentation and Recognition of Specified Logo on Windscreen of Vehicles using Image Processing (Spring 2018)
  • Categorization of Different Sized Products using Image Processing (Fall 2017)
  • Vision based Smart room via Human Tracking (Fall 2017)
  • Eye Gesture based Identification of Drug Addict Drivers (Fall 2016)
  • Domestic Safety System with Remote Monitoring (Fall 2016)
  • Image Processing based Waitering Robot using LCD Ordering System (Fall 2016)
  • Development of Millimeter Wave Image Synthesis Algorithm (Spring 2016)
  • Communication and Appliance Control System for Paralyzed People (Fall 2015)
  • Detection of Cancer Cells in Microscopic Images (Fall 2015)
  • Vision based Smart Car Parking System (Fall 2015)
  • Smart Vehicle Tracking System (Fall 2015)
  • Anti-Terrorist Combat Robot (2011)
  • Conveyer Roller Mechanism for Identification, Sorting and Storage of Color Objects (2010)
  • GPS Tracking and Safety of a Road Vehicle (2010)
  • GSM Tower Antenna Control System (2009)

 

Courses

Graduate Level:

  • Machine Learning
  • Computer Vision
  • Advance Topics in Computer Vision

Undergraduate Level:

  • Machine Learning
  • Neural Networks
  • Digital Image Processing
  • Digital Signal Processing
  • Signals and Systems
  • Electric Circuit Analysis

 

Funded Projects:

Completed Projects:
1. Facial Landmark Tracking in Long and in-the-wild Videos Using Deep Learning (2017 - 2019) PIs: Dr. Ikram Ullah Khosa, Other Team: Dr Muhammad Haris Khan, Budget: PKR 499000, Funded By: Higher Education Commission .

Publications:

Journal Papers:
1. Hamid, Shahzaib, Ikramullah Khosa, M. Aksam Iftikhar, M. Rehan Usman, and M. Arslan Usman (2024), "A Sequential-data Approach for Human Gait Parameter Estimation and Surgical Event Inference", IEEE Access, pp: 168791 - 168811, Vol: 12, DOI: 10.1109/ACCESS.2024.3493389, Impact Factor: 3.4    (External URL)
2. Kousar, Abida, Jameel Ahmad, Khalid Ijaz, Amr Yousef, Zaffar Ahmed Shaikh, Ikramullah Khosa, Durga Chavali, and Mohd Anjum (2024), "MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection", IEEE Access, pp: 106631 - 106644, Vol: 12, DOI: 10.1109/ACCESS.2024.3434664, Impact Factor: 3.4    (External URL)
3. Perveen, G., Ali, S. F., Ahmad, J., Shahab, S., Adnan, M., Anjum, M., & Khosa I (2023), "Multi-stream Deep Convolution Neural Network with Ensemble Learning for Facial Micro-expression Recognition", IEEE Access, pp: 118474 - 118489, Vol: 11, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2023.3325108, Impact Factor: 3.9    (External URL)
4. Ikramullah Khosa, Awais Raza, Mohd Anjum, Waseem Ahmad, Sana Shahab (2023), "Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data", Diagnostics, pp: 2637, Vol: 13, Issue: 16, DOI: https://doi.org/10.3390/diagnostics13162637, Impact Factor: 3.6    (External URL)
5. Ikramullah Khosa, Abdur rahman, Khurram Ali, Jahanzeb Akhtar, Ammar Armghan, Jehangir Arshad, Melkamu Deressa Amentie (2023), "Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models", Computational Intelligence and Neuroscience, Vol: 2023, DOI: https://doi.org/10.1155/2023/2663150, Impact Factor: 3.12    (External URL)
6. Hatim Butt, Ikramullah Khosa, Muhammad Aksam Iftikhar (2023), "Feature Transformation for Efficient Blood Glucose Prediction in Type 1 Diabetes Mellitus Patients", Diagnostics, Vol: 13, Issue: 3, DOI: https://doi.org/10.3390/diagnostics13030340, Impact Factor: 3.99    (External URL)
7. Jahanzeb Akhtar, Imran Ghous, Muhammad Jawad, Zhaoxia Duan, Ikramullah Khosa, Saim Ahmed (2022), "A computationally efficient unscented Kalman smoother for ameliorated tracking of subatomic particles in high energy physics experiments", Computer Physics Communications, pp: 108585, Vol: 283, DOI: https://doi.org/10.1016/j.cpc.2022.108585, Impact Factor: 4.7    (External URL)
8. Khalid Ijaz, Zawar Hussain, Jameel Ahmad, Syed Farooq Ali, Muhammad Adnan, and Ikramullah Khosa (2022), "A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-term Load Forecasting", IEEE Access, pp: 82596-82613, Vol: 10, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3196476, Impact Factor: 3.476    (External URL)
9. Umar Javed, Khalid Ijaz, Muhammad Jawad, Ikramullah Khosa, Ejaz Ahmad Ansari, Khurram Shabih Zaidi, Muhammad Nadeem Rafiq, and Noman Shabbir (2022), "A Novel Short Receptive Field based Dilated Causal Convolutional Network Integrated with Bidirectional LSTM for Short-Term Load Forecasting", Expert Systems with Applications, Vol: 205, ISSN: 0957-4174, DOI: https://doi.org/10.1016/j.eswa.2022.117689, Impact Factor: 8.66    (External URL)
10. Ikramullah Khosa, Naveed Taimoor, Jahanzeb Akhtar, Khurram Ali, Ateeq Ur Rehman, Mohit Bajaj, Mohamed Elgbaily, Mokhtar Shouran, Salah Kamel (2022), "Financial Hazard Assessment for Electricity Suppliers Due to Power Outages: The Revenue Loss Perspective", Energies, pp: 4327, Vol: 15, Issue: 12:, ISSN: 1996-1073, DOI: https://doi.org/10.3390/en15124327, Impact Factor: 3.252    (External URL)
11. Kashif Shahzad, Muhammad Jawad, Khurram Ali, Jahanzeb Akhtar, Ikramullah Khosa, Mohit Bajaj, Ehab E. Elattar and Salah Kamel (2022), "A Hybrid Approach for an Efficient Estimation and Control of Permanent Magnet Synchronous Motor with Fast Dynamics and Practically Unavailable Measurements", Applied Sciences, pp: 1-22, Vol: 12, Issue: Special Issue - Control of power systems, ISSN: 2076-3417, DOI: https://doi.org/10.3390/app12104958, Impact Factor: 2.68    (External URL)
12. N. Taimoor, I. Khosa, M. Jawad, M. J. Akhtar, I. Ghous, M. B. Qureshi, A. R. Ansari, & R. Nawaz (2020), "Power Outage Estimation: The Study of Revenue-led Top Affected States of US", IEEE Access, pp: 223271-223286, Vol: 8, ISSN: 2169-3536, Impact Factor: 3.7    (External URL)
13. Nadeem Tariq, Beenish Abid, Khawaja Ali Qadeer, Imran Hashim, Zulfiqar Ali, Ikramullah Khosa (2019), "Breast Cancer Classification using Global Discriminate Features in Mammographic Images", International Journal of Advance Computer Science and Applications, pp: 381-387, Vol: 10, Issue: 2, Impact Factor: ISI indexed    (External URL)
14. Zhaoxia Duan, Jahanzeb Akhtar, Imran Ghous, Muhammad Jawad, Ikramullah Khosa, Khurram Ali (2019), "Improving the tracking of subatomic particles using the Unscented Kalman filter with measurement redundancy in high energy physics experiments", IEEE Access, pp: 61728-61737, Vol: 7, ISSN: 2169-3536, Impact Factor: 3.55    (External URL)
15. Abdul Khaliq, Ikramullah Khosa, Muhammad Muneeb (2019), "Short term electrical load forecasting for an urban 11 KV feeder using machine learning techniques", Journal of Multidisciplinary Sciences, pp: 1-11, Vol: 1, Issue: 1    (External URL)
16. Muhammad Jawad, Abubakar Rafique, Ikramullah Khosa, Imran Ghous, Jahanzeb Akhtar, Sahibzada Muhammad Ali (2019), "Improving Disturbance Storm Time Index Prediction Using Linear and Nonlinear Parametric Models: A Comprehensive Analysis", IEEE Transactions on Plasma Science, pp: 1429-1444, Vol: 47, Issue: 2, ISSN: 0093-3813 , Impact Factor: 1.25    (External URL)
17. Ikramullah Khosa, Eros Pasero (2016), "A machine vision system for quality inspection of pine nuts", International Journal of Advance Computer Science and Applications (IJACSA), Vol: 7, Issue: 9, ISSN: 2158-107X, Impact Factor: ISI Indexed    (External URL)
18. Siamak Aram, Ikramullah Khosa, Eros Pasero (2015), "Conserving Energy through Neural Prediction of Sensed Data", Journal of Wireless Mobile Networks, Ubiquitous computing and dependable Applications (JoWUA), Vol: 6, Issue: 1    (External URL)
Conference Papers:
1. Saman Khan, Nimra Latif, Huzafa Adnan, Ikramullah Khosa (2022) "A Portable Real Time Health Inspection system for Cotton and Potato Crop using Drone", 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), DOI: 10.1109/ETECTE55893.2022.10007247    (External URL)
2. Arslan Khalid, Zulqarnain Haider, Ikramullah Khosa (2019) "Malarial Parasite Detection and Recognition using Microscopic Images", 16th IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp: 304-308, Standard: 2151-1411/978-1-5386-7729-2    (External URL)
3. Khosa, I. ; Pasero, E. (2014) "Artificial neural network classifier for quality inspection of nuts", IEEE International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE) , Standard: 978-1-4799-5131-4    (External URL)
4. Khosa, I. ; Pasero, E. (2014) "Defect detection in food ingredients using Multilayer Perceptron Neural Network", IEEE World Symposium on Computer Applications and Research (WSCAR), Standard: 978-1-4799-2805-7    (External URL)
5. Khosa, I. ; Pasero, E. (2014) "Feature extraction in X-ray images for hazelnuts classification", IEEE International Joint Conference on Neural Networks , Standard: 978-1-4799-6627-1    (External URL)
6. Khosa, I. ; Pasero, E. (2014) "Pine nuts selection using X-ray images and logistic regression", IEEE World Symposium on Computer Aplications & Research (WSCAR), Standard: 978-1-4799-2805-7    (External URL)
7. Omar Ahmad, Basilio Bona, Muhammad Latif Anjum, Ikramullah Khosa (2013) "Using Time Proportionate Intensity Images with Non-linear Classifiers for Hand Gesture Recognition", The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications, Standard: 978-981-4585-42-2    (External URL)
8. Khosa, I ; Haider, U. ; Mosood, H. (2010) "Evaluating the performance of IEEE 802.11 MAC protocol using OpNET modeler", IEEE International Conference On Electronics and Information Engineering (ICEIE). , pp: 91-95, Vol: 2, Standard: 978-1-4244-7681-7    (External URL)
9. Masood. H, Haider, U. ; Sadiq-ur-Rehman ; Khosa, I (2010) "Secure Communication in WMSN", IEEE International Conference on Information Networking and Automation (ICINA)., pp: 37-42, Vol: 1, Standard: 978-1-4244-8106-4    (External URL)

Qualification

PhD in Electronics and Telecommunication
Polytechnical University of Turin, Turin, Italy
Mar 2012 to Jan 2015
   
MS Electrical (Telecommunication) Engineering
Military College of Signals (MCS), NUST, Islamabad, Pakistan
Oct 2006 to Apr 2010
   
Bachelor in Electrical Engineering
Bahauddin Zakariya University, Multan, Pakistan
Nov 2001 to Dec 2005
   

Experience

Assistant Professor
COMSATS Institute of Information Technology, Lahore
Feb 2015 to Date
   
Lecturer
COMSATS Institute of Information Technology, Lahore
Jan 2012 to Feb 2012
   
Lecturer
The University of Faisalabad
Mar 2008 to Jan 2012
   
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