Dr. Irfan Javid
Assistant Professor (Ph.D)
Research Area: Machine Learning, Deep Learning, HealthcareAbout Me
Dr. Irfan Javid is a researcher and academic in Computer Science & IT with a strong interest in machine learning, deep learning, predictive analytics, and intelligent decision support systems. His doctoral research focused on modified recurrent neural network models for heart disease prediction, and his research interests include explainable artificial intelligence, healthcare analytics, predictive modeling, and computational intelligence. He has published in peer-reviewed journals and international conferences and have experience in teaching, mentoring, academic administration, and multidisciplinary research collaboration.
| Degree | Major | University | Start Date | End Date |
|---|---|---|---|---|
| Ph.D | Computer Science | Universiti Tun Hussein Onn Malaysia (UTHM) | November 2019 | December 2023 |
| MS | Software Engineering | Bahria University, Islamabad | September 2010 | August 2012 |
| BS | Computer Science | University of Azad Jammu & Kashmir, Muzaffarabad | September 2005 | August 2009 |
| Designation | Organization | Duration |
|---|---|---|
| Assistant Professor | University of Poonch Rawalakot | January 2025 - October 2026 |
| Lecturer | University of Poonch Rawalakot | August 2014 - December 2024 |
| Senior Software Engineer | Pakistan Engineering Council | February 2009 - August 2010 |
| Title | Description | Sponsoring Agency | Amount | Year |
|---|
| Designation | Department | Organization | From Date | To Date |
|---|---|---|---|---|
| Assistant Professor | Department of Computer Science & IT | University of Poonch Rawalakot | January, 2025 | |
| Graduate Research Assistant | Faculty of Computer Science & Information Technology | Universiti Tun Hussein Onn Malaysia (UTHM) | January, 2022 | June, 2022 |
| Fieldwork Assistant | Faculty of Computer Science & Information Technology | Universiti Tun Hussein Onn Malaysia (UTHM) | April, 2020 | December, 2020 |
| Lecturer | Department of Computer Science & IT | University of Poonch Rawalakot | August, 2014 | December, 2024 |
| Description | Year | Journal Name | Impact Factor |
|---|---|---|---|
|
Javid, I., Hayat, S., Batool, T.,
Mahmud, K., Naseer, A., Kanwal, S.
, … & Khattak, M. K. (2026).
Phonocardiogram classification
based on machine learning and
deep learning using hybrid features
extraction techniques. Franklin
Open.
DOI : DOI: 10.1016/j.fraope.2026.100554 |
2026 | Franklin Open | |
| Ayub, F., Javid, I., Khattak, M. K., & Hayyat, A. (2026). Beyond accuracy: a clinically safe, uncertainty-aware EfficientNetB3 framework for interpretable pneumonia screening. Biomedical Signal Processing and Control | 2026 | Biomedical Signal Processing and Control | |
| Gandapur, M. N., ur Rehman, I., Shaheer, M., Adeel, H., Hayat, S., & Javid, I. (2026). Quaternion-based quantification of 3D angular spread in multipath MIMO channels. Franklin Open, 100702. | 2026 | Franklin Open | |
| Hussain Jafri, S. I., Elsafi, A., Abdelguiom, G. A., Ghazali, R., & Javid, I. (2025). ESReLU: A Dynamic Activation Function for Enhancing Deep Learning Performance in Recommendations. International Journal of Intelligent Engineering & Systems, 18(3). | 2025 | International Journal of Intelligent Engineering & Systems | |
| Zulqarnain, M., Alsaedi, A. K. Z., Sheikh, R., Javid, I., Ahmad, M., & Ullah, U. (2024). An improved gated recurrent unit based on auto encoder for sentiment analysis. International Journal of Information Technology, 16(1), 587-599. | 2024 | International Journal of Information Technology | |
| Batool, T., Ghazali, R., Arbaiy, N. B. , Ismail, L. H., & Javid, I. (2024). An Enhanced GRU model with Optimized Update Gate: A Novel Approach in Municipal Solid Waste Prediction. International Journal of Intelligent Engineering & Systems, 17(5) | 2024 | International Journal of Intelligent Engineering & Systems | |
| Javid, I., Ghazali, R., Saeed, W., Batool, T., & Al-Wajih, E. (2023). CNN with new spatial pyramid pooling and advanced filter-based techniques: revolutionizing traffic monitoring via aerial images. Sustainability. | 2023 | Sustainability | |
| Altaf, A., Mahdin, H., Mahmood, A., Ninggal, M. I. H., Altaf, A., & Javid, I. (2023). Systematic Review for Phonocardiography Classification Based on Machine Learning. International Journal of Advanced Computer Science and Applications, 14(8). | 2023 | International Journal of Advanced Computer Science and Applications (IJACSA) | |
|
Jafri SIH, Ghazali R, Javid I, Mahmood Z, Hassan AAA (2022) Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system. PLoS ONE 17(8): e0273486. https://doi.org/10.1371/journal.pone.0273486.
DOI : 10.1371/journal.pone.0273486 |
2022 | PLOS ONE | |
|
Javid I, Ghazali R, Syed I, Zulqarnain M, Husaini NA (2022) Study on the Pakistan stock market using a new stock crisis prediction method. PLoS ONE 17(10): e0275022. https://doi.org/10.1371/journal.pone.0275022
DOI : 10.1371/journal.pone.0275022 |
2022 | PLOS ONE | |
|
Irfan Javid, Ahmed Khalaf Zager Alsaedi and Rozaida Ghazali, “Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110369.
DOI : 10.14569/IJACSA.2020.0110369 |
2020 | International Journal of Advanced Computer Science and Applications (IJACSA) |
