Continuing Education & Extension

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 earned his PhD in Information Technology from Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia, in December 2020. He completed an MSCS at the National College of Business Administration and Economics, Lahore, in 2017, and earlier received his MCS (2014) and BCS (2012) from The Islamia University of Bahawalpur (IUB), Pakistan. His research areas include machine learning, deep learning, natural language processing, data mining, and time series prediction. He is an HEC-approved PhD and master's supervisor, has successfully supervised a number of PhD and master's students, and has published more than 30 articles in international journals and conference proceedings. He serves as a reviewer for various journals and conferences, is a co-editor of a Springer conference proceeding, and has served on the technical committees of numerous international conferences.

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, 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), 10(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., & Mahmud, M. (2021). A deep two-state gated recurrent unit for particulate matter (PM2.5) concentration forecasting. Computers, Materials & Continua (CMC), 71(2), 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. 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, 12, 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, 42(4), 4083–4094. Impact Factor 1.953
• Javid, I., Ghazali, R., Syed, I., Zulqarnain, M., & Husaini, N. A. (2022). Study on the Pakistan stock market using a new stock crisis prediction method. PLoS ONE, 17(10), e0275022. Impact Factor 3.752 DOI: 10.1371/journal.pone.0275022
• Javid, I., Ghazali, R., Zulqarnain, M., & Husaini, N. A. (2023). Data pre-processing for cardiovascular disease classification: A systematic literature review. Journal of Intelligent & Fuzzy Systems, 44(1), 1525–1545. 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. Computational Methods for Differential Equations, 6, 1–12. 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 & Applications, 16(6). Impact Factor 0.8
• Zulqarnain, M., Ghazali, R., Hassim, Y. M. M., & Rehan, M. (2020). Text classification based on gated recurrent unit combined with support vector machine. International Journal of Electrical and Computer Engineering (IJECE), 10(4), 3734–3742.
• Zulqarnain, M., Ghazali, R., & Hassim, Y. M. M. (2020). A comparative review on deep learning models for text classification. Indonesian Journal of Electrical Engineering and Computer Science, 19(1), 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), 16(5). ISI & WoS
• Zulqarnain, M., Ghazali, R., Ghouse, M. G., & Mushtaq, M. F. (2019). Efficient processing of GRU based on word embedding for text classification. International Journal on Informatics Visualization (JOIV), 3(4), 377–383.
• 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), 16–28. DOI: 10.5815/ijmecs.2020.06.02
• Zulqarnain, M., Ghazali, R., Khaleefah, S. H., & Rehan, A. (2019). An improved performance of the GRU model based on batch normalization for sentence classification. International Journal of Computer Science and Network Security, 19(9), 176–186. ISI Indexing Impact 2.139
• Zulqarnain, M., Ishak, S. A., Ghazali, R., Nawi, N. M., Aamir, M., & Hassim, Y. M. (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), 11(1), 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. DOI: 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., & Zulqarnain, M. (2020). Auto-encoder variants for solving handwritten digits classification problem. International Journal of Fuzzy Logic and Intelligent Systems, 20(1), 8–16. Impact Factor 1.50
• Ahmad, N., Harun, A., Khizar, H. M. U., Othman, B., & Zulqarnain, M. (2020). The effect of electronic word-of-mouth communication on purchase intention moderated by trust: A case of online consumers in Bahawalpur, Pakistan. International Journal of Advanced Science and Technology, 29(9), 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. (2022). Deep learning GRU model and random forest for screening out key attributes of cardiovascular disease. Lecture Notes in Networks and Systems (LNNS), 457, 160–170. Malaysia.
• 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 Xplore.
• Zulqarnain, M., Alsaedi, A. K. Z., Sheikh, R., et al. (2023). An improved gated recurrent unit based on auto-encoder for sentiment analysis. International Journal of Information Technology. DOI: 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 Visualization, 9(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 Engineering, 13(4), 200–216.

Awards & Distinctions

• Malaysian Government Scholarship for pursuing a PhD at Universiti Tun Hussein Onn Malaysia (UTHM), Batu Pahat, Johor, Malaysia (2017)
• Project funding received from the Research Management Centre, Universiti Tun Hussein Onn Malaysia (2019)
• Winner of the Three Minute Thesis (3MT) competition at Universiti Tun Hussein Onn Malaysia, 27 March 2019

Experience

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

Administrative Experience

• Additional Director, Directorate of Planning and Development, Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur (Nov 2025 – Present)
• In-Charge, Software Incubation Center, Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur (Jan 2026 – Present)
• Officer In-Charge, Department of Computer Science & IT, Faculty of Bio-Sciences, CUVAS, Bahawalpur (Apr 2024 – Apr 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 Information Technology, The Islamia University of Bahawalpur, Bahawalnagar Campus (Sep 2023 – Mar 2024)
• Member, extending support to Khawaja Fareed University of Engineering and Information Technology (KFUEIT) by preparing an MoU with Universiti Tun Hussein Onn Malaysia (UTHM)

Education

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

Conference & Workshop Participation

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

Invited Keynote Speaker

• Invited Speaker, International Virtual Conference on Global Public Health & Healthcare Management, 20–21 October 2023, Essex IG6 3SZ, UK (Virtual)
• 7th International Conference on Global Advanced Nursing, Patient Safety and Healthcare, 7–8 September 2023, Dubai, UAE (Hybrid)
• Invited Speaker, 4th International Virtual Conference on Food Science & Nutrition, 7–8 July 2023, UK (Virtual)
• Invited Speaker, 4th Global Virtual Summit on European Public Health & Healthcare, 28–29 October 2023
• Invited Speaker, 4th Global Virtual Summit on European Healthcare & Hospital Management, 15–16 September 2023, London, UK
• Invited Speaker, 3rd Global Virtual Summit on Materials Science & Engineering, 25–26 August 2023, UK
• Speaker, 4th International Conference on Psychology and Mental Health, 12–13 December 2023, Paris, France
• Invited Speaker, 2nd International Conference on Global Advanced Nursing and Healthcare, 11–12 August 2023, London, UK
• Invited Speaker, International Conference on Advances in Breast Cancer & Therapeutics, 28–29 October 2023, UK (Virtual)
• Invited Speaker, 6th International Virtual Conference on Nursing Education, Patient Safety and Healthcare, 3–4 February 2024 (Online)
• Keynote Speaker, Neuroscience, Neurology and Brain Disorders (Virtual), 26–27 April 2024
• Distinguished Speaker, 3rd Global Conclave on Advanced Cardiology and Cardiovascular Innovations (Adv. Cardiology 2024), 27–28 June 2024, Amsterdam, Netherlands

External Examiner for PhD Viva Voce

• Mr. Muhammad Sajid — “An IoMT-based non-invasive approach to lung and heart disease detection & classification using lung and heart sound analysis through deep learning techniques”, Department of Artificial Intelligence, The Islamia University of Bahawalpur, 15 May 2025
• Mr. Muhammad Anwaar — “Modified relative discrimination criterion and RSS-ELM techniques to improve document classification”, Department of Artificial Intelligence, The Islamia University of Bahawalpur, 15 May 2025
• Ms. Madiha Khalid — “Deepfake 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), 29 October 2025
• Mr. Shahbaz Ahmed — “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), 18 December 2025
• Ms. Aqsa Mehmood — “A multi-disease detection approach for cereal crops in precision agriculture using deep learning and UAV imagery”, Department of Computer Science & IT, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), 2 January 2026
• Mr. Abdul Rehman — “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), 16 February 2026
• Mrs. Syeda Zoupash Zahra — “Data-driven multi-hazard forecasting methods using machine learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, The Islamia University of Bahawalpur (IUB), 2 April 2026
• Mrs. Saba Khan — “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), 21 April 2026
• Mr. Muhammad Zaman Ali — “High-capacity data hiding in images using improved steganography techniques”, Department of Computer Science, The Islamia University of Bahawalpur (IUB), 5 May 2026

External Examiner for MPhil / MS Viva Voce

• Mr. Hafiz Raja Muhammad Ali — “An improved Coati-BiGRU-CBOW technique for session-based recommendations”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 29 April 2025
• Ms. Abida Nawaz — “Automated classification of TikTok data using stacked TS-GRU deep learning technique”, Department of Artificial Intelligence, IUB, 29 April 2025
• Mr. Muhammad Rashid Jabbar — “Predictive modeling of type 2 diabetes using deep learning technique”, IUB, 29 April 2025
• Mr. Faizan Ali — “Weed identification using Sea Lion-Faster RCNN technique”, Department of Artificial Intelligence, IUB, 29 April 2025
• Ms. Humna Akram — “An improved Sea Lion-BiGRU technique for fake news detection”, Department of Artificial Intelligence, IUB, 29 April 2025
• Mr. Muhammad Mohsin Abbas — “A tri-stacked LSTM for fake news detection”, Department of Artificial Intelligence, IUB, 29 April 2025
• Mr. Muhammad Suleiman Ubaid — “An improved TS-BiGRU-SkipGram technique for sentiment analysis”, Department of Artificial Intelligence, IUB, 29 April 2025
• Mr. Faheem Abbas — “Snake-LSTM: An optimized technique for classification”, Department of Artificial Intelligence, IUB, 29 April 2025
• Ms. Ishrat Fatima — “An improved reptile search gated recurrent unit technique for cotton disease classification”, Department of Artificial Intelligence, IUB, 2 January 2025
• Mr. Muhammad Jahanzaid — “Lung disease detection using deep learning approaches”, Department of Artificial Intelligence, IUB, 2 January 2025
• Ms. Paras Abbas — “An improved reptile search long short-term memory technique for rice disease classification”, Department of Artificial Intelligence, IUB, 2 January 2025
• Mr. Rafaqat Ali — “RSS-BiGRU: An improved optimization technique for seed quality detection and classification”, Department of Artificial Intelligence, IUB, 2 January 2025
• Mr. Uzair Habib — “CSO-GRU: An improved optimization technique for text classification”, Department of Artificial Intelligence, IUB, 2 January 2025
• Ms. Yasmeen Kousar — “Heart disease prediction using artificial neural network”, Department of Artificial Intelligence, IUB, 2 January 2025
• Mr. Waleed Khan — “Emission monitoring system using deep learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 14 February 2025
• Mr. Muzamil Hussain Bukhari — “Plant leaf detection using fusion of deep learning algorithms”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 14 February 2025
• Ms. Mariam Hanif — “Intrusion detection system using machine learning techniques”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 14 February 2025
• Ms. Sumra Batool — “Predicting coronary cardiovascular disease using machine learning techniques”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 14 February 2025
• Ms. Dniyal Madni Sajjad — “Exploring the potential of neuronal dynamics in neuromorphic computing using deep learning”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 14 February 2025
• Mr. Muhammad Rauf — “Optimized retrieval of medical guidelines and treatment protocols using the ARES framework”, Department of Artificial Intelligence, Main Campus, IUB, 23 July 2025
• Mr. Abdul Majid — “Deep learning for enhancing and analyzing traffic surveillance videos”, Department of Artificial Intelligence, IUB, 15 January 2026
• Mr. Abid Hussain — “An optimized weighted Chimp-TS-GRU for text classification”, Department of Artificial Intelligence, IUB, 15 January 2026
• Mr. Hafiz Muhammad Hayat — “An intelligent retrieval-augmented generation based system for medical assistant question answering”, Department of Artificial Intelligence, IUB, 15 January 2026
• Mr. Muhammad Waqas Amjad — “Impact of sentiment analysis on stock price prediction using deep learning”, Department of Artificial Intelligence, IUB, 15 January 2026
• Ms. Arisha Ashraf — “Detecting thyroid problems using machine learning techniques”, Department of Artificial Intelligence, IUB, 15 January 2026
• Ms. Rida Fatima — “A deep learning-based multimodal fusion for predicting lymph node metastasis in non-small cell lung cancer (NSCLC)”, Department of Artificial Intelligence, IUB, 15 January 2026
• Mr. Muhammad Inam Ullah — “A hybrid deep learning framework for sentence-level Urdu optical character recognition”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026
• Mr. Shahzad Hanif — “Adaptive relative discrimination criterion framework for text classification”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026
• Mr. Muhammad Farhan Aslam — “A hybrid deep learning-based IoT threat protection system for securing IoT networks against cyber threats”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026
• Mr. Muhammad Abubakar — “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, IUB, 21 April 2026
• Mr. Shabaz Gul — “An explainable transfer learning framework for pneumonia detection from chest radiographs”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026
• Mr. Tasaddaq Hussain — “Early detection of silent myocardial infarctions using transformer-based models on ECG signals”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026
• Mr. Usama Mehboob — “An improved robust deep learning-based intrusion detection system against adversarial attacks”, Department of Artificial Intelligence, Baghdad-ul-Jadeed Campus, IUB, 21 April 2026

International Conference Committee Membership

• FOCUS-2024 — International Conference on Frontiers in Computer Science and Information Technology, 26–27 November 2024, Kuala Lumpur, Malaysia (Hybrid)
• ICASET-2024 — International Congress on Advanced Systems, Engineering and Technology, 26–27 August 2024, Yogyakarta, Indonesia (Online)

Journal Reviewer

• The 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
• Discover Analytics, Springer Nature — Online ISSN 2731-8117
• Discover Artificial Intelligence, Springer Nature — Scopus Q1, Online ISSN 2731-0809
• 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
• 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