Dr. Syed Ali Abbas

Dr. Syed Ali Abbas
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Personal Details
Dr. Syed Ali Abbas is a distinguished academic and researcher in the fields of Software Engineering and Machine Learning. He began his early education at F.G. Neelum Public School, Muzaffarabad, and earned his BSc with a focus on Double Mathematics and Statistics from the University of Azad Jammu and Kashmir (UAJK).

Pursuing his passion for computing, he moved to Punjab University for higher studies in computer science. In 2006, he joined the Higher Education Commission (HEC) of Pakistan as a Project Manager, where he contributed to national educational initiatives.

In 2008, Dr. Abbas transitioned into academia by joining UAJK as a Lecturer. A year later, in 2009, he embarked on his PhD journey, which he successfully completed in 2013. In 2014, he was appointed as a TTS Assistant Professor, and in recognition of his academic excellence and contributions, he was promoted to Associate Professor (Tenured) in 2020.

Currently, Dr. Syed Ali Abbas is serving as the Head of the Department of Computer Science and Information Technology at UAJK. With a strong research focus on Software Engineering and Machine Learning, he continues to mentor students, lead departmental development, and contribute to the academic and research landscape of the university.
Chairman / Associate Professor
Ph.D
CS & IT
  • S. A. Abbas, A. Mir, A. Rehman, W. A. Abbasi, S. Arif and Z. Hassan, “K-means and K-medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir,” IEEE Access, 2020. (Impact Factor = 4.096)
  • Wajid Arshad, S. A. Abbas, Saiqa Andleeb, et al., “COVIDC: An Expert System to Diagnose COVID-19 and Predict its Severity using Chest CT Scans: Application in Radiology,” Informatics in Medicine Unlocked, vol. 23, 2021. (Impact Factor = 3.73)
  • F. Majeed, M. Asim, S. A. Abbas, A. Jaleel, A. Majid, and A. Hasan, “Detection of Atrial Fibrillation and Normal Sinus Rhythm using Multiple Machine Learning Classifiers,” Journal of Medical Imaging and Health Informatics, vol. 11, 2020. (Impact Factor = 0.672)
  • S. A. Abbas, Aqeel ur Rehman, F. Majeed, A. Majid, M. M. Sheraz, Z. Hassan, S. Zafar, “Performance Analysis of Classification Algorithms on Birth Dataset,” IEEE Access, vol. 6, 2020, pp. 67555–67561. (Impact Factor = 4.096)
  • Wajid Arshad, Saiqa Andleeb, S. A. Abbas, “PANDA: Predicting the Change in Proteins Binding Affinity upon Mutations by Finding a Signal in Primary Structures,” Journal of Bioinformatics and Computational Biology, vol. 19, 2021. (Impact Factor = 1.12)
  • S. Khushhal, A. Majid, S. A. Abbas, M. S. Malik, and S. Arif, “Questions Retrieval using Combined Queries in Community Question Answering (cQA),” Journal of Intelligent Information Systems, 2020. https://doi.org/10.1007/s10844-020-00612-x (Impact Factor = 1.81)
  • Saiqa Andleeb, Wajid Arshad Abbasi, Rozina Ghulam Mustafa, Ghafoor ul Islam, Anum Naseer, Irsa Shafique, Asma Parween, Bushra Shaheen, Muhamad Shafiq, Muhammad Altaf, Syed Ali Abbas, “ESIDE: A Computationally Intelligent Method to Identify Earthworm Species (E. fetida) from Digital Images: Application in Taxonomy,” PLOS ONE, 2021. (Impact Factor = 3.24)
  • F. Majeed, M. W. Asif, M. A. Hassan, S. A. Abbas, M. I. Lali, “Social Media News Classification in Healthcare Communication,” Journal of Medical Imaging and Health Informatics, vol. 9, no. 6, pp. 1215–1223, 2019. (Impact Factor = 0.46)
  • Wajid Arshad Abbasi, Syeda Adin Ajaz, Kinza Arshad, Sidra Liaqat, Saiqa Andleeb, Maryum Bibi, Syed Ali Abbas, “SIP: A Computational Prediction of S-Adenosylmethionine (SAM) Interacting Proteins and Their Interaction Sites through Primary Structures,” Computational Biology and Chemistry, vol. 98, June 2022. (Impact Factor = 2.27)
  • F. Majeed, M. Shafiq, A. Ali, M. A. Hassan, S. A. Abbas, M. E. Alzahrani, “Self-Citation Analysis on Google Scholar Dataset for H-Index Corrections,” IEEE Access, 2019, pp. 126025–126036. (Impact Factor = 4.096)
  • Aqeel ur Rehman, D. Xiao, A. Kulsoom, M. Hashmi, and S. A. Abbas, “Block Mode Image Encryption Technique using Two-Fold Operations Based on Chaos, MD5 and DNA Rules,” Multimedia Tools and Applications, vol. 78(7), 2019, pp. 9355–9382. (Impact Factor = 2.6)
  • S. A. Abbas, R. Rabia, Zaki Hassan, S. Shela, and S. J. Kwon, “Cause Analysis of Caesarian Sections and Application of Machine Learning Methods for Classification of Birth Data,” IEEE Access, vol. 6, 2018, pp. 67555–67561. (Impact Factor = 4.096)
  • Lal Hussain, Wajid Aziz, Sharjil Saeed, Saeed Arif Shah, Malik Sajjad A. Nadeem, Imtiaz Ahmed Awan, S. A. Abbas, Abdul Majid, and Syed Zaki Hassan Kazmi, “Complexity Analysis of EEG Motor Movement with Eye Open and Close Subjects using Multiscale Permutation Entropy (MPE) Technique,” Biomedical Research, vol. 28(16), 2017. (Impact Factor = 0.21)
  • Laal Hussain, Wajid Aziz, Saeed Arif, Sajjad Nadeem, Imtiaz Awan, S. A. Abbas, “Quantifying the Dynamics of EEG Signals to Distinguish Alcoholic and Non-Alcoholic Subjects using an MSE Based K-d Tree Algorithm,” Biomedical Engineering (Biomedizinische Technik), 2017. (Impact Factor = 0.63)
  • Ayesha Kulsoom, Di. Xiao, Aqeel ur Rehman, and S. A. Abbas, “An Efficient and Noise Resistive Selective Image Encryption Scheme for Gray Images Based on Chaotic Maps and DNA Complementary Rules,” Multimedia Tools and Applications, vol. 75(1), 2016. (Impact Factor = 2.6)
  • Syed Zaki Hassan Kazmi, Henggui Zhang, Wajid Aziz, Oliver Monfredi, S. A. Abbas, Saeed Arif Shah, Syeda Sobia Hassan Kazmi, and Wasi Haider Butt, “Inverse Correlation between Heart Rate Variability and Heart Rate Demonstrated by Linear and Nonlinear Analysis,” PLOS ONE, 2016. (Impact Factor = 2.77)
  • Aqeel ur Rehman, Xiaofeng Liao, S. A. Abbas, Ayesha Kulsoom, “Selective Encryption for Gray Images Based on Chaos and DNA Complementary Rules,” Multimedia Tools and Applications, 2015. (Impact Factor = 2.6)
  • S. Z. H. Kazmi, N. Habib, R. Riaz, S. S. Rizvi, S. A. Abbas, T. S. Chung, “Multiscale Based Nonlinear Dynamics Analysis of Heart Rate Variability Signals,” PLOS ONE, vol. 15, no. 2, 2020. (Impact Factor = 2.77)
  • U. Naqvi, A. Majid, and S. A. Abbas, “UTSA: Urdu Text Sentiment Analysis using Deep Learning Methods,” IEEE Access, vol. 9, pp. 114085–114094, 2021. doi:10.1109/ACCESS.2021.3104308. (Impact Factor = 3.367)
  • S. Khushal, A. Majid, M. Babar, S. A. Abbas, “Optimizing Urdu Text Tokenization: Morphological Rules for Compound Word Identification,” https://doi.org/10.21203/rs.3.rs5484524/v1.
  • S. Khalil, W. Abbasi, S. A. Abbas, M. Bibi, “Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s,” Applied Computational Intelligence, https://doi.org/10.1155/2024/7914178
  • S. A. Abbas, Xiaofeng Liao, Aqeel ur Rehman, M. I. Abdullah, “Cost Estimation: A Survey of Well-Known Historic Cost Estimation Techniques,” Journal of Emerging Trends in Computing and Information Sciences, 2012.
  • W. A. Abbasi, S. A. Abbas, S. Andleeb, “COVIDX: Computer-Aided Diagnosis of COVID and Its Severity Prediction with Raw Digital Chest X-Ray Images,” arXiv preprint arXiv:2012.13605
  • S. A. Abbas, Saleem Ullah Lar, Xiaofeng Liao, Raja Aftab Naseem, “Software Models, Extensions and Independent Models in COCOMO Suite: A Review,” Journal of Emerging Trends in Computing and Information Sciences, 2012.
  • S. A. Abbas, Xiaofeng Liao, and Ayesha Kulsoom Khattak, “Neural Net Back Propagation and Software Effort Estimation: A Comparison-Based Perspective,” ARPN Journal of Systems and Software, 2012.
  • Lal Hussain, Imran Shafi, Sharjil Saeed, S. A. Abbas, Imtiaz Ahmed Awan, Sajjad Ahmed Nadeem, “A Radial Base Neural Network Approach for Emotion Recognition in Human Speech,” IJCSNS International Journal of Computer Science and Network Security, vol. 17, no. 8, August 2017. (HEC Y Category)
  • Saleem Ullah, Xiaofeng Liao, and S. A. Abbas, “Cloud Computing Privacy & Security: Global Issues, Challenges & Mechanisms,” IEEE Digital Library, 2012.

Software Engineering (including process models, quality assurance, and software design) and Machine Learning (with applications in data analysis and intelligent systems); supervised 25 MPhil research theses.

Honours and Awards

Research Details
Yes
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