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Mr Irfan Javid

Lecturer (Ph.D)

Mr Irfan Javid

Lecturer (Ph.D)

Research Area: Usability Engineering
About Me

Irfan Javid was born in October 17, 1987, in Azad Kashmir, Pakistan. He went to Umar Boys High School, Rawalakot, AJK, Pakistan for his secondary school. He pursued his degree at the University of Azad Jammu & Kashmir Muzaffarabad, Pakistan, and graduated with the BS (Hons) in Computer Science in 2009. Upon graduation, he worked as Web Designer in Pakistan Engineering Council, Islamabad, Pakistan. He then enrolled at the Bahria University Islamabad, Pakistan, in 2010, where he was awarded the MS in Software Engineering in 2012. Thereafter, he taught Computer Science as well as Software Engineering at the Department of Computer Science & IT, University of Poonch Rawalakot, Pakistan. He did his PhD study at the faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia, in order to discover his interest for research and advance expertise in machine learning and deep learning. He has also published a number of research articles and conference proceedings. His area of interest in study include artificial intelligence, medicine, machine learning, deep learning, and disease prediction.

Degree Major University Start Date End Date
Ph.D Deep Learning Artificial Intelligence Universiti Tun Hussein Onn Malaysia (UTHM) November 2019 July 2024
MS Software Engineering Bahria University, Islamabad September 2010 August 2012
BS (Computer Science) Computer Science University of Azad Jammu & Kashmir, Muzaffarabad September 2005 August 2009
Designation Organization Duration
Lecturer The University of Poonch,Rawalakot March 2012 - November -0001
Web Designer Pakistan Engineering Council August 2009 - July 2010
Title Description Sponsoring Agency Amount Year
Designation Department Organization From Date To Date
Lecturer Department of Computer Science & IT The University of Poonch, Rawalakot October, 2013
Description Year DOI
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. 2022 10.1371/journal.pone.0273486
Javid, I., Ghazali, R., Zulqarnain, M., Husaini, N.A. (2022). Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease. In: Ghazali, R., Mohd Nawi, N., Deris, M.M., Abawajy, J.H., Arbaiy, N. (eds) Recent Advances in Soft Computing and Data Mining. SCDM 2022. Lecture Notes in Networks and Systems, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-00828-3_16. 2022 10.1007/978-3-031-00828-3_16
Javid, Irfan et al. ‘Optimally Organized GRU-deep Learning Model with Chi 2 Feature Selection for Heart Disease Prediction’. 1 Jan. 2022 : 4083 – 4094. 2022 10.3233/jifs-212438
Javid, Irfan et al. ‘Data Pre-processing for Cardiovascular Disease Classification: A Systematic Literature Review’. 1 Jan. 2022 : 1 – 21. 2022 10.3233/JIFS-220061
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 2022 10.1371/journal.pone.0275022
I. Javid, R. Ghazali, I. Syed, N. A. Husaini and M. Zulqarnain, "Developing Novel T-Swish Activation Function in Deep Learning," 2022 International Conference on IT and Industrial Technologies (ICIT), Chiniot, Pakistan, 2022, pp. 1-7, doi: 10.1109/ICIT56493.2022.9989151. 2022 10.1109/ICIT56493.2022.9989151
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. 2020 10.14569/IJACSA.2020.0110369
Muhammad Zulqarnain, Rozaida Ghazali, Muhammad Ghulam Ghouse, Yana Mazwin Mohmad Hassim, Irfan Javid, "Predicting Financial Prices of Stock Market using Recurrent Convolutional Neural Networks ", International Journal of Intelligent Systems and Applications(IJISA), Vol.12, No.6, pp.21-32, 2020. DOI: 10.5815/ijisa.2020.06.02. 2020 10.5815/ijisa.2020.06.02