Dr. Muhammad Zulqarnain

Ph.D (UTHM, Malaysia)
Assistant Professor,
HEC Approved Supervisor #: 90250


Mobile: +92-3027878621, +92-3177821849
Email: zulqarnain@cuvas.edu.pk

Official Address: Department of Computer Science & IT, Main Library, CUVAS, Bahawalpur.

Biography

Dr. Muhammad Zulqarnain is an Assistant Professor (BPS-19) in the Department of Computer Science & IT, Faculty of Bio-Sciences, Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur, Pakistan. He graduated with a Ph.D degree in Information Technology from the University Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia in December 2020. Earlier, in 2014, he completed his Master's degree in Computer Science from The Islamia University of Bahawalpur (IUB), Pakistan. He received his Bachelor degree in Computer Science from The Islamia University of Bahawalpur (IUB) in 2012. His research areas include machine learning, deep learning, natural language processing, data mining, and time series prediction. He has an approved Ph.D and master supervisor from the Higher Education Commission of Pakistan. He has successfully supervised a number of PhD and master's students and published more than 35 articles in various international journals and conference proceedings. He is a reviewer for various journals and conferences and a co-editor of a Springer conference proceeding. He has also served as a technical committee member for numerous international conferences.  

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Area of Interest

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Time Series Prediction
  • Data Mining
  • Image Processing

Publications

  • Zulqarnain, M., Al Saedi, A.K.A., Ghazali, R., Ghouse, M.G., Sharif, W., & Husaini N.A. (2021). A comparative analysis of the question classification task based on deep learning approaches. PeerJ Computer Science. Vol. 7, Impact Factor = 3.09
  • Zulqarnain, M., Ghazali, R., Hassim, Y.M.M., & Aamir, M. (2021). An Enhanced Gated Recurrent Unit with Auto-Encoder for Solving Text Classification Problems. Arabian Journal for Science and Engineering (AJSE). Vol. 10, No. 6. Impact Factor = 2.711
  • Aamir, M., Nawi, N.M., Naseem, R., & Zulqarnain, M., (2021). Hybrid Contractive Auto-encoder with Restricted Boltzmann Machine for Multiclass Classification. Arabian Journal for Science and Engineering (AJSE). Impact Factor = 2.711
  • Zulqarnain, M., Ghazali, R., Shah. H., Ismail. L. H., Alsheddy. A., & Muhmud. M. (2021). A Deep Two-State Gated Recurrent Unit for Particulate Matter (PM2.5) Concentration Forecasting. Computers, Materials & Continua (CMC).Vol. 71, No.2, pp.3051-3068. Impact Factor = 3.772  
  • Zulqarnain, M., Ghazali, R., Aamir, M., & Hassim, Y.M.M. (2024) “An efficient two-state GRU based on feature attention mechanism for sentiment analysis”. International Journal of Multimedia Tools and Applications. Impact Factor = 2.757
  • Zulqarnain, M., Shah, H., Ghazali, R., Alqahtani, O., Sheikh, R., & Asadullah, M. (2023). Attention Aware Deep Learning Approaches for an Efficient Stress Classification Model. Brain Sciences, 13(7), 994. Impact Factor = 3.333
  • Zulqarnain, M., Razzaq, H. H., Gifal, A. S., & Aftab, M. N. (2025). An optimized EEG-based hybrid deep learning framework for schizophrenia detection. Biomedical Engineering Letters, 1-15. Impact Factor = 2.8
  • Almutairi, S., Abohashrh, M., Razzaq, H. H., Zulqarnain, M., Namoun, A., & Khan, F. (2024). A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual Dataset. IEEE Access. Vol. 12, pp.168477-168499. Impact Factor = 3.90 DOI: 10.1109/ACCESS.2024.3496741
  • Javid I., Al Saedi, A.K.A.,Ghazali, R., Hassim, Y.M.M., & Zulqarnain M. (2022). “Optimally Organized GRU-Deep Learning model with Chi2 Feature Selection for Heart Disease Prediction”. Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 4083-4094.Impact Factor = 1.953
  • Javid I., Ghazali, R., Syed I., Zulqarnain M., and Husaini N A. (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.  Impact Factor = 3.752
  • Javid I., Ghazali, R., Zulqarnain M. and Norlida H. “Data pre-processing for cardiovascular disease classification:” A systematic literature review. International Journal of Intelligent & Fuzzy Systems, vol. 44, no. 01, pp. 1525-1545, 2023.  Impact Factor = 2.0
  • Razzaq, H. H., Ghazali, R., George, L. E., & Zulqarnain, M. (2024). A Novel Framework For Breast Cancer Scoring Based On Machine Learning Technique Using Immunohistochemistry Images. Vol. 06, pp. 1-12 Computational Methods for Differential Equations. Impact Factor = 0.9
  • Aftab, M. N., Khan, D. M., Zulqarnain, M., & Akram, M. R. (2025). An Enhanced LSTM Model Based on Feature Attention Mechanism and Emotional Intelligence for Advanced Sentiment Analysis. International Journal of Advanced Computer Science & Applications16(6). Impact Factor = 0.8
  • Zulqarnain, M., Ghazali, R., Hassim, Y.M.M., and Rehan, M. “Text classification based on gated recurrent unit combines with support vector machine,” International Journal of Electrical and Computer Engineering (IJECE)., Vol. 10, No. 4, pp. 3734–3742, 2020.
  • Zulqarnain, M., Ghazali, R., and Hassim, Y.M.M. (2020). “A comparative review on deep learning models for text classification.” Indonesian Journal of Electrical Engineering and Computer Science. Vol. 19, No. 1, pp. 325-335.
  • Zulqarnain, M., Ghouse, M.G., Sharif, W., Jilanie, G., & Shifa, A., (2021). An Efficient Method of Data Hiding for Digital Color Images Based on Variant Expansion and Modulus Function. Journal of Engineering Science and Technology (JESTEC). Vol.16, No. 5. ISI & WoS
  • Zulqarnain, M., Ghazali, R., M. G. Ghouse, and M. F. Mushtaq, “Efficient Processing of GRU Based on Word Embedding for Text Classification,” International Journal Informatics Visualization., vol. 3, no. 4, pp. 377–383, 2019.
  • Zulqarnain, M., Ghazali, R., Ghouse, M. G., Hassim, Y.M.M., & Javid, I., (2020). Predicting Financial Prices of the Stock Market using Recurrent Convolutional Neural Networks. International Journal of Modern Education and Computer Science, 12(6), pp 16-28. https://DOI: 10.5815/ijmecs.2020.06.02
  • Zulqarnain, M., Ghazali, R., S. H. Khaleefah, and Rehan. A. (2019). “An Improved the Performance of GRU Model based on Batch Normalization for Sentence Classification,” International Journal of Computer Science and Network Security., vol. 19, no. 9, pp. 176–186, 2019. ISI Indexing Impact = 2.139
  • Zulqarnain M, Ishak SA., Ghazali R, Nawi NM, Aamir M, Mazwin Y. (2020). An improved Deep Learning Approach based on Variant Two-State GRU and Word Embedding for Sentiment Classification. International Journal of Advanced Computer Science and Applications(IJACSA); vol. 11, no. 1; pp. 593-603. Impact Factor = 0.9 
  • Mushtaq, M. F., Akram, U., Aamir, M., Ali, H., & Zulqarnain, M. (2019). Neural Network Techniques for Time Series Prediction: A Review. JOIV: International Journal on Informatics Visualization, 3(3), 314-320.
  • Akram, U., Ghazali, R., Ismail, L. H., Zulqarnain, M., Husaini, N. A., & Mushtaq, M. F. (2019). An Improved Pi-Sigma Neural Network with Error Feedback for Physical Time Series Prediction. International Journal of Advanced Trends in Computer Science and Engineering, 8(3), 231-240. https://doi.org/10.30534/ijatcse/2019/5381.32019
  • Mushtaq, M. F., Akram, U., Tariq, A., Khan, I., Zulqarnain, M., & Iqbal, U. (2017). An Innovative Cognitive Architecture for Humanoid Robot. International Journal of Advanced Computer Science and Applications, 8(8), 60-67. Impact Factor = 0.9 
  • Aamir, M., Nawi, N.M., Mahdin, H.B., Naseem, R. and Zulqarnain, M., (2020). Auto-encoder variants for solving handwritten digits classification problem. International Journal of Fuzzy Logic and Intelligent Systems, 20(1), pp.8-16. Impact Factor = 1.50
  • Ahmad, N., Harun, A., Khizar, H.M.U., Othman, B. and Zulqarnain, M., (2020). The Effect of Electronic Word of Mouth Communication on Purchase Intention Moderated by Trust: A Case Online Consumer of Bahawalpur Pakistan. International Journal of Advanced Science and Technology, 29(9), pp.4995-5008.
  • Dayan, F., Javaid, M., Zulqarnain, M., Ali, M. T., & Ahmad, B. (2018). Computing banhatti indices of hexagonal, honeycomb and derived networks. American Journal of Mathematical and Computer Modelling, 3(2), 38-45.
  • Ghouse, M. G., Jamel, S., Aamir, M., Zulqarnain, M., & Deris, M. M. (2021, May). i-AEGIS-128: An Improved Authenticated Encryption Based on AEGIS-128. In 2021 7th International Conference on Optimization and Applications (ICOA) (pp. 1-7). IEEE.
  • Javid I., Ghazali, R., Zulqarnain M. Husaini N.A. “Deep learning GRU model and Random Forest for screening out key attributes of Cardiovascular Disease. Lecture Notes in Network and System (LNNS) Book Series, Vol.457, pp 160-170. Malaysia, 2022.
  • Javid, I., Ghazali, R., Syed, I., Husaini, N. A., & Zulqarnain, M. (2022, October). Developing Novel T-Swish Activation Function in Deep Learning. In 2022 International Conference on IT and Industrial Technologies (ICIT) (pp. 1-7). IEEE Explore.
  • Zulqarnain, M., Alsaedi, A.K.Z., Sheikh, R. et al. An improved gated recurrent unit based on auto-encoder for sentiment analysis. International Journal of Information Technology. (2023). https://doi.org/10.1007/s41870-023-01600-4
  • Zulqarnain, M., Sheikh, R., Hussain, S., Sajid, M., Abbas, S. N., Majid, M., & Ullah, U. (2024). Text Classification Using Deep Learning Models: A Comparative Review. Cloud Computing and Data Science, 80-96.
  • Sharif, W., Zulqarnain, M., Ayyub, I., Mukram, M., Ali, R., Shaheen, M., & Mumtaz, Q. U. A. (2024, September). TS-GRU-CBOW: Identification of Suspicious Language for Sentiment Analysis. In International Conference on Artificial Intelligence and Networking (pp. 585-602). Singapore: Springer Nature Singapore.
  • Razzaq, H. H., Al-Rammahi, L. F., Almousawy, A. M., & Zulqarnain, M. (2025). An Optimized Hybrid Deep Learning Approach for Accurate Fruit Image Classification. JOIV: International Journal on Informatics Visualization9(4), 1688-1696.
  • Shoaib, M., Zulqarnain, M., Ahmed, A., Abdullah, S., & Alturki, N. (2025). A Review on Network Intrusion detection systems based on Machine Learning, Deep Learning and Blockchain for IoT-based healthcare systems. VFAST Transactions on Software Engineering13(4), 200-216.

Awards/ Distinctions

  • Malaysian Government Scholarship for pursuing PhD from University Tun Hussein Onn Malaysia (UTHM), Johor, Batu Pahat, Malaysia (2017)
  • Project Funding was received from the Research Management Centre, University Tun Hussein Onn Malaysia, Malaysia (2019)
  • WINNER of the Three Minute Thesis (3MT) competition at Universiti Tun Hussein Onn Malaysia held on 27th March 2019.

Experience

  • Assistant Professor in the Department of Computer Science & IT, CUVAS, Bahawalpur (Mar/2024 – Present)
  • Assistant Professor in the Department of Computer Science & IT at The Islamia University of Bahawalpur, (April/2022 – Mar/2024)
  • Assistant Professor in the Faculty of Computing at Riphah International University Faisalabad Campus (Sep/2021 – Mar/2022)
  • Graduate Research Assistant at Post-Graduate Research Grant under Universiti Tun Hussein Onn Malaysia (Aug/2018 – Jan/2020)
  • Field Work Assistant at Fundamental Research Grant Scheme under the Ministry of Higher Education Malaysia (Sep/2017 – Sep/2018)

Administrative Experience

  • Additional Director in the Directorate of Planning and Development at Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur (Nov/2025 – Is Continue
  • Incharge, Software Incubation Center, at Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur. 12 January, 2026 – Is Continue
  • Officer In-Charge, Department of Computer Science & IT, Faculty of Bio-sciences, CUVAS, Bahawalpur (April/2024 – April/2025)
  • In-Charge, Department of Cyber Security, Institute of Computing, Riphah International University, Faisalabad Campus (Nov/2021 – Feb/2022)
  • In-Charge of Examination, Department of Infomation Technology (IT), The Islamia University of Bahawalpur, Bahawalnagar Campus (Sep/2023 – Mar/2024)
  • Member, Extending support to the Khawaja Farid University of Engineering and Information Technology (KFUEIT) by preparing an MOU with Universiti Tun Hussein Onn Malaysia (UTHM).

Education

  • PhD in Information Technology (IT) from Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia (December/2020)
  • MSCS (Master of Sciences in Computer Science) from The National College of Business Administration and Economics, Lahore, Pakistan (2017)
  • MCS (Master of Computer Science) from The Islamia University of Bahawalpur (IUB), Bahawalpur, Pakistan (2014)
  • BCS (Bachelor of Computer Science) from The Islamia University of Bahawalpur (IUB), Bahawalpur, Pakistan (2012)

Conference/ Workshops Participation

  • 6th International Conference on Intelligent Technologies and Applications (INTAP'25),11-12 December 2025. The Islamia University of Bahawalpur (IUB).
  • Participate in Techlancer Summit 3.0 Seminar, Organized by the Department of Data Science, Faculty of Computer, IUB, 22 December, 2025.
  • Guest of Honor, 1st Entrepreneurial Expo_2025, CUVAS
  • Participate in IT Park Solution Seminars, Noor Mahal Marquee, Bahawalpur 
  • 5th International Conference on Soft Computing and Data Mining 2022 (SCDM 2022), 30-31 May 2022, Johor Bahru, Malaysia.
  • Attended a 4th International Conference on "Soft Computing and Data Mining (SCDM 2020)" organized by University Tun Hussein Onn Malaysia (UTHM), Melaka, January 21-23, 2020.
  • Attended a trainer workshop on “Python Language and Implementation” organized Faculty of Computer Science and Information Technology (FSKTM), University Tun Hussein Onn Malaysia (UTHM), on April 11, 2019.
  • Attended Workshop on “Constructing hybrid-meta-heuristics and hyper-heuristics for general optimization problem” organized by the University of Pahang, Malaysia (UPM), Kelantan, Pahang, Malaysia on September 24, 2019
  • Attended as trainer the International workshop on “Deep Learning” organized by the Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), August 1, 2018.
  • Attended the International Conference on “Advances in Computing and Intelligent Systems” organized by the Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia (UTHM), Everly Putrajaya, August 27, 2018.
  • Attended as trainer Workshop on “Research and Innovation Festival 2018” organized by University Tun Hussein Onn Malaysia (UTHM), Everly Putrajaya, November 14th – 15th, 2018.

Invited Keynote Speaker

  • Invited Speaker for the International Virtual Conference on Global Public Health & Healthcare Management, on October 20-21, 2023, Virtual Conference, Essex IG63SZ, UK
  • 7th International Conference on Global Advanced Nursing, Patient Safety and Healthcare, September 07-08, 2023, Dubai, UAE & Virtual Conference (Hybrid Event)
  • Invited Speaker for the 4th International Virtual Conference on Food Science & Nutrition, July 07-08, 2023, Virtual Conference, UK
  • Invited Speaker for the 4th Global Virtual Summit on European Public Health & Healthcare, October 28-29, 2023.
  • Invited Speaker for the 4th Global Virtual Summit on European Healthcare & Hospital Management, which is scheduled on September 15-16, 2023, London, UK
  • Invited Speaker for the 3rd Global Virtual Summit on Materials Science & Engineering
    August 25-26, 2023, UK
  • Speaker, 4th International Conference on Psychology and Mental Health, December 12-13, 2023 at Paris, France.
  • Invited Speaker for the 2nd International Conference on Global Advanced Nursing and Healthcare, August 11-12, 2023, London, UK
  • Invited Speaker for the International Conference on Advances in Breast Cancer & Therapeutics, October 28-29, 2023 | Virtual Conference, UK
  • Invited Speaker for the 6th International Virtual Conference on Nursing Education, Patient Safety and Healthcare, February 03-04, 2024. (Online Meeting)
  • Keynote Speaker, Neuroscience, Neurology, and Brain Disorders Virtual, April 26-27, 2024.
  • Distinguished Speaker for the 3rd Global Conclave on Advanced Cardiology and Cardiovascular Innovations (Adv. Cardiology 2024), June 27-28, 2024, at Amsterdam, Netherlands.

External Examiner for PhD Viva-Voce

  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mr. Muhammad Sajid on the thesis titled “An IOMT-based non-invasive approach to Lungs and Heart Disease Detection & Classification using Lungs and Heart Sound analysis through Deep Learning Techniques”, Department of Artificial Intelligence, The Islamia University of Bahawalpur on 15 May 2025.
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mr. Muhammad Anwaar on the thesis titled “Modified Relative Discrimination Criterion and RSS-ELM Techniques to Improve the Document Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur on 15 May 2025
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Ms. Madiha Khalid on the thesis titled “Deep Fake Tweets Sentiment Analysis Using Novel Transfer Learning Feature and Ensemble LGR Approach”, Department of Computer Science, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB) on 29 October 2025
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mr. Shahbaz Ahmed on the thesis titled “Formal Modeling and Verification-Based Approach for IOT-enabled Energy Efficient Data Aggregation of Smart Agriculture System”, Department of Computer Science, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB) on 18 December 2025
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Ms. Aqsa Mehmood on the thesis titled “A Multi-Disease Detection Approach for Cereal Crop in Precision Agriculture Using Deep Learning and UAV Imagery”, Department of Computer Science & IT, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB) on 02 January 2026.
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mr. Abdul Rehman on the thesis titled “An Approach for Improved Cotton Crop Monitoring and Prediction Centered on Deep Learning, Formal Modeling and Verification”, Department of Computer Science & IT, The Islamia University of Bahawalpur (IUB) on 16 Febuary 2026.
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mrs. Syeda Zoupash Zahra on the thesis titled “Data Driven Multi Hazard Forecasting Methods using Machine Learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB) on 02 April 2026.
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mrs. Saba Khan on the thesis titled “The Process Mining, Formal Modeling and Verification of an Electronic Health Record System”, Department of Information Technology, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB) on 21 April 2026.  
  • Conducted PhD Thesis Evaluation and Viva Voce Examination of Mr. Muhammad Zaman Ali on the thesis titled “High Capacity Data Hiding in Images using Improved Steganography Techniques”, Department of Computer Science, The Islamia University of Bahawalpur (IUB) on 05 May 2026.  

External Examinar for Mphil/MS Viva-Voce

  • Evaluate Mphil thesis and conduct Viva-Voce of Mr. Hafiz Raja Muhammad Ali on the thesis titled An Improved Coati-Bigru-Cbow Technique for Session-Based Recommendations”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate Mphil thesis and conduct Viva-Voce of Ms. Abida Nawaz on the thesis titled “Automated Classification of TikTok Data using Stacked TS-GRU Deep Learning Technique”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate Mphil thesis and conduct Viva-Voce of Mr. Muhammad Rashid Jabbar on the thesis titled “Predictive Modeling of type 2 diabetes disease using deep learning Technique”, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate Mphil thesis and conduct Viva-Voce of Mr. Faizan Ali on the thesis titled “Weed Identification Using Sea Lion-Faster RCNN Technique”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Humna Akram on the thesis titledAn improved Sea Lion-BiGRU Technique for fake news detection”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Mohsin Abbas on the thesis titled A Tri Stacked LSTM for Fake News Detection”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Suleiman Ubaid on the thesis titled An improved TSBIGRU-SkipGram technique for sentiment analysis”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Faheem Abbas on the thesis titled “Snake-LSTM: An Optimized technique for Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 29/04/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Ishrat Fatima on the thesis titled “An Improved Reptile Search Gated Recurrent Unit Technique for Cotton Disease Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Jahanzaid on the thesis titled “Lung Disease Detection Using Deep Learning Approaches”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Paras Abbas on the thesis titled “An Improved Reptile Search Long Short-Term Memory Technique for Rice Disease Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Rafaqat Ali on the thesis titled “RSS Bi-GRU An Improved optimization technique for seed quality detection and classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Uzair Habib on the thesis titled “CSO-GRU An Improved Optimization Technique for Text Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Yasmeen Kousar on the thesis titled “Heart Disease Prediction by Using Artificial Neural Network”, at the Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 02/01/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Waleed Khan on the thesis titled “Emission Monitoring System Using Deep Learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 14/02/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muzamil Hussain Bukhari on the thesis titled “Plant Leaf Detection Using Fusion of Deep Learning Algorithms”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 14/02/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Mariam Hanif on the thesis titled “Intrusion Detection System Using Machine Learning Techniques”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 14/02/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Sumra Batool on the thesis titled “Predicting Coronary Cardiovascular Disease using Machine Learning Techniques”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 14/02/2025.
  • Evaluate thesis and conduct Viva-Voce of Ms. Dniyal Madni Sajjad on the thesis titled “Exploring the Potential of Neuronal Dynamics in Neuromorphic Computing Using Deep Learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 14/02/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Rauf on the thesis titled “Optimized Retrieval of Medical Guidelines and Treatment Protocols Using the ARES Framework”, Department of Artificial Intelligence, Main Campus, The Islamia University of Bahawalpur (IUB), on Dated 23/07/2025.
  • Evaluate thesis and conduct Viva-Voce of Mr. Abdul Majid on the thesis titled “Deep Learning for Enhancing and Analyzing Traffic Surveillance Videos”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  • Evaluate thesis and conduct Viva-Voce of Mr. Abid Hussain on the thesis titled “An Optimized Weighted Chimp-Ts-Gru For Text Classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  •  Evaluate thesis and conduct Viva-Voce of Mr. Hafiz Muhammad Hayat on the thesis titled “An Intelligent Retrieval-Augmented Generation based System for Medical Assistant Question Answering”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Waqas Amjad on the thesis titled “Impact of Sentiment Analysis on Stock Price Prediction Using Deep Learning”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  • Evaluate thesis and conduct Viva-Voce of Ms. Arisha Ashraf on the thesis titled “Detecting Thyroid problems using machine learning techniques”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  • Evaluate thesis and conduct Viva-Voce of Ms. Rida Fatima on the thesis titled “A Deep Learning-Based Multimodal Fusion for Predicting Lymph Node Metastasis in Non-Small Cell Lung Cancer (NSCLC)”, Department of Artificial Intelligence, The Islamia University of Bahawalpur (IUB), on Dated 15/01/2026
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Inam Ullah on the thesis titled “A Hybrid Deep Learning Framework for Sentence Level Urdu Optical Character Recognition”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026.
  • Evaluate thesis and conduct Viva-Voce of Mr. Shahzad Hanif on the thesis titled “Adaptive Relative Discrimination Criterion Framework for Text Classification”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026.
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Farhan Aslam on the thesis titled “A Hybrid Deep Learning-Based IoT Threat Protection System for Securing IoT Networks Against Cyber Threats”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026. 
  • Evaluate thesis and conduct Viva-Voce of Mr. Muhammad Abubakar on the thesis titled “An Intelligent Federated Learning Framework for Mitigating Poisoning Attacks in Intrusion Detection Systems within Cyber-Physical Environments”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026. 
  • Evaluate thesis and conduct Viva-Voce of Mr. Shabaz Gul on the thesis titled “An Explainable Transfer Learning Framework for Pneumonia Detection from Chest Radiographs”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026. 
  • Evaluate thesis and conduct Viva-Voce of Mr. Tasaddaq Hussain on the thesis titled “Early Detection of Silent Myocardial Infarctions Using Transformer-Based Models on ECG Signals”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026. 
  • Evaluate thesis and conduct Viva-Voce of Mr. Usama Mehboob on the thesis titled An Improved Robust Deep Learning-Based Intrusion Detection System Against Adversarial Attacks”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), on Dated 21/04/2026. 

Member International Conference Committee (s)

  • FOCUS-2024: International Conference on Frontier in Computer Science and Information Technology | November 26-27, 2024 | Kuala Lumpur, Malaysia | Hybrid Conference Mode (Physical & Virtual)
  • ICASET-2024: The International Congress on Advanced System, Engineering and Technology | Yogyakarta, Indonesia | August 26-27, 2024 | Online Conference |

Reviewer of Journals

  • International Journal of Supercomputing, Springer Nature, Q1, Impact Factor: 2.7, Online ISSN: 1573-0484.
  • Multimedia Tools and Applications, Springer Nature, Scopus Q1, Impact Factor: 2.1, Online ISSN: 1573-7721.
  • Signal, Image and Video Processing, Springer Nature, Q1, Impact Factor: 2.1, Online ISSN: 1863-1711.
  • International Journal of Discover Analytics, Springer Nature, Online ISSN: 2731-8117.
  • International Journal of Discover Artificial Intelligence, Springer Nature, Scopus Q1, Online ISSN: 2731-0809.
  • International Journal of Knowledge and Information Systems, Springer Nature, Scopus Q1, Impact Factor: 3.1, Online ISSN: 0219-3116.
  • Current Journal of Applied Science and Technology, Online ISSN: 2457-1024.
  • International Journal of Connection Science, Taylor & Francis, Scopus Q1, Online ISSN: 0954-0091.
  • Discover Computing, Springer Nature, Scopus Q2, WOS Impact Factor: 0.9, Online ISSN: 2948-2992.
  • BMC Medical Informatics and Decision Making, Springer Nature, Scopus Q1, WOS Impact Factor: 3.8, Online ISSN: 1472-6947.
  • Scientific Reports, Springer Nature, Scopus Q1, WOS Impact Factor: 3.9, Online ISSN: 2045-2322.
  • International Journal of Computational Intelligence Systems, Springer Nature, Scopus Q1, WOS Impact Factor: 3.0, Online ISSN: 1875-6883.
  • Humanities and Social Sciences Communications, Springer Nature, Scopus Q1, WOS Impact Factor: 3.6, Online ISSN: 2662-9992.