
Dr. Muhammad Faheem Mushtaq
Associate Professor
PhD (Information Technology)
Other Websites
https://iub.edu.pk/author/faheem.mushtaqResearch Supervision Capacity
About Me
Dr. Muhammad Faheem Mushtaq is an Associate Professor and Chairman of the Department of Data Science, The Islamia University of Bahawalpur (IUB), Pakistan. He received his Ph.D. in Information Technology from the Faculty of Computer Science and Information Technology, UTHM, Malaysia, in February 2019. He completed his MS in Computer Science from The Islamia University of Bahawalpur.
He has extensive experience in teaching, research, administration, curriculum development, and research supervision. His research interests include Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Cybersecurity, Information Security, Data Mining, Big Data Analytics, and Intelligent Technologies. His research focuses on developing intelligent, secure, and data-driven solutions to contemporary challenges in computing and cybersecurity.
He has published extensively in international peer-reviewed high-impact journals, conference proceedings, and book chapters. His research contributions have appeared in internationally recognized journals, including Expert Systems with Applications, Nature Portfolio's Scientific Reports, IEEE Access, Sensor, Engineering Reports, Journal of Ambient INtelligence and Humanized Computing, International Journal of Computational Intelligence Systems, Computers, Materials & Continua, Wireless Communications and Mobile Computing, and other journals in the fields of artificial intelligence, machine learning, cybersecurity, data science, and intelligent systems.
Dr. Faheem Mushtaq is also actively engaged in academic leadership, research collaboration, and scholarly peer review. He has served in various academic and administrative roles, including Chairman Hall Council, Head/HoD Department of Artificial Intelligence, Additional Director Student Affairs, and Additional Director/Head of the Department of Distance Education. His professional experience reflects significant contributions to academic management, research development, student affairs, and institutional advancement.
He is an active researcher and reviewer for international scientific journals and conferences, and continues to contribute to the advancement of research and education in Artificial Intelligence, Data Science, Machine Learning, and Cybersecurity.
Research Interest Keywords
Contact Info
Research Publication
1. Mudasir Ali, Muhammad Faheem Mushtaq, Urooj Akram, Dina S. M. Hassan, Nagwan Abdel Samee, Hafiz Muhammad Raza ur Rehman, Imran Ashraf. 2026. “Improving Prediction Accuracy of Emotions from X (Twitter) Post Opinions with Enhanced Hierarchical Attention Model.” International Journal of Computational Intelligence Systems 19. https://doi.org/10.1007/s44196-026-01266-3
2. Saba Khan, Nadeem Akhtar, Muhammad Faheem Mushtaq, Nagwan Abdel Samee, Noha F Mahmoud, Imran Ashraf. 2025. “Towards Robust Electronic Health Record Systems: Integrating Formal Verification and Process Modeling Techniques.” BMC Medical Research Methodology 0. https://doi.org/10.1186/s12874-025-02637-8
3. Urooj Akram1, Saima Noreen Khosa2, Muhammad Faheem Mushtaq1*, Muhammad Rizwan2, Wajahat Hussain3, Rida Fatima2,andSamrina Shafiq. 2025. “A Deep Learning Approach for Modeling Air Quality Dynamics using Historical Environmental Data.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/901/2025
4. Muhammad Ali, Muhammad Faheem Mushtaq, Saima Noreen Khosa, Naila Kiran, Humaira Arshad, Urooj Akram. 2025. “Deep Learning-Based Bone Age Growth Disease Detection (BAGDD) Using RSNA Radiographs.” International Journal of Advanced Computer Science & Applications 0. http://dx.doi.org/10.14569/IJACSA.2025.0160699
5. Umair Ismail1, Saima Noreen Khosa2, Saba Tahir1, Muhammad Altaf Ahmad1, Wajahat Hussain3, UroojAkram1,and MuhammadFaheem Mushtaq1. 2025. “Hybrid Machine Learning Models for Optimizing Retail Market and Inventory Forecasting.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/901/2025
6. Komal Azim, Saima Noreen Khosa, Saba Tahir, Muhammad Altaf Ahmad, Wajahat Hussain, Urooj Akram, Muhammad Faheem Mushtaq,. 2025. “SECURING AI-DRIVEN TEXT CLASSIFICATION AGAINST ADVERSARIAL NLP ATTACKS.” Zenodo 0. https://doi.org/10.5281/zenodo.15461905
7. Urooj Akram,Saima Noreen Khosa,Maria Mansab,Talha Bin Tariq,Saba Tahir,Wajahat Hussain,Mudasir Ali,Muhammad Faheem Mushtaq,. 2025. “DEEP LEARNING-BASED ENSEMBLE APPROACH FOR LUNG DISEASE CLASSIFICATION USING CHEST X-RAY IMAGES.” Zenodo 0. https://doi.org/10.5281/zenodo.15629561
8. Muhammad Altaf Ahmad1 , Saima Noreen Khosa2 , Muhammad Zubair Hadi3 , Tanzeela Kiran1 , Wajahat Hussain3 , Urooj Akram1 , and Muhammad Faheem Mushtaq1,*. 2025. “Sentiment Analysis of Urdu Text using Hybrid Deep Learning Techniques.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/802/2025
9. Tanzeela Kiran1 , Mudasir Ali2 , Umair Ismail1 , Muhammad Altaf Ahmad1 , Urooj Akram1 , Wajahat Hussain2 , Muhammad Faheem Mushtaq1,. 2025. “Textile Defect Detection in the Textile Industry using Deep Learning.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/802/2025
10. Mudasir Ali1, Muhammad Faheem Mushtaq2*, Urooj Akram2, Shabana Ramzan3, Saba Tahir2, and Muhammad Ahsan2. 2025. “An Ensemble Approach for Firewall Log Classification using Stacked Machine Learning Models.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/802/20245
11. Ali, Mudasir and Mushtaq, Muhammad Faheem and Akram, Urooj and Samee, Nagwan Abdel and Jamjoom, Mona M. and Ashraf, Imran. 2025. “Detecting Vehicle Mechanical Defects Using an Ensemble Deep Learning Model with Mel Frequency Cepstral Coefficients from Acoustic Data.” Tech Science Press 145. 10.32604/cmes.2025.070389
12. Karim, Abdul and Mansab, Maria and Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Jeong, In cheol. 2025. “Anticipating impression using textual sentiment based on ensemble LRD model.” Elsevier BV 263. https://doi.org/10.1016/j.eswa.2024.125717
13. Muhammad Faheem Mushtaq, Maria Mansab, Talha Bin Tariq, Urooj Akram. 2025. “An Improved Fraud Detection System Using the LDX Ensemble Machine Learning Technique.” Technical Journal 0. Technical Journal, vol. 30, no. 02, pp. 31-39, 2025
14. Ali, Mudasir and Mushtaq, Muhammad Faheem and Akram, Urooj and Aray, Daniel Gavilanes and Vergara, Manuel Masias and Karamti, Hanen and Ashraf, Imran. 2025. “Botnet detection in internet of things using stacked ensemble learning model.” Springer Science and Business Media LLC 15. https://doi.org/10.1038/s41598-025-02008-9
15. Hussain, Wajahat and Mushtaq, Muhammad Faheem and Shahroz, Mobeen and Akram, Urooj and Ghith, Ehab Seif and Tlija, Mehdi and Kim, Tai-hoon and Ashraf, Imran. 2025. “Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning.” Springer Science and Business Media LLC 15. https://doi.org/10.1038/s41598-024-76178-3
16. Talha Bin Tariq1 , Saima Noreen Khosa2 , Muhammad Zubair Hadi3 , Tanzeela Kiran1 , Maria Mansab1 , Urooj Akram1 , and Muhammad Faheem Mushtaq1,. 2025. “Intelligent Cyber Security Framework for Threat Detection using Ensemble Learning Techniques.” Journal of Computing & Biomedical Informatics 0. https://doi.org/10.56979/802/2025
17. Farooq, Umer and Mushtaq, Muhammad Faheem and Ullah, Zahid and Ejaz, Muhammad Talha and Akram, Urooj and Aslam, Sheraz. 2025. “Time Series Analysis of Solar Power Generation Based on Machine Learning for Efficient Monitoring.” Wiley 7. https://doi.org/10.1002/eng2.70023
18. Iqbal, Muhammad Munwar and Mehmood, Waqas and Ramzan, Shabana and Mushtaq, Muhammad Faheem. 2025. “Leveraging deep learning for sentiment analysis: insights from academic and general feedback across dual datasets.” Springer Science and Business Media LLC 84. https://doi.org/10.1007/s11042-025-21048-x
19. Khalid, Madiha and Mushtaq, Muhammad Faheem and Akram, Urooj and Safran, Mejdl and Alfarhood, Sultan and Ashraf, Imran. 2025. “Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach.” Springer Science and Business Media LLC 15. https://doi.org/10.1038/s41598-025-10661-3
20. Ali, Mudasir and Shahroz, Mobeen and Akram, Urooj and Mushtaq, Muhammad Faheem and Altamiranda, Stefanía Carvajal and Obregon, Silvia Aparicio and Díez, Isabel De La Torre and Ashraf, Imran. 2024. “Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model.” Institute of Electrical and Electronics Engineers (IEEE) 12. 10.1109/ACCESS.2024.3372588
21. Ali, Mudasir and Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Alfarhood, Sultan and Safran, Mejdl and Ashraf, Imran. 2024. “Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment.” Institute of Electrical and Electronics Engineers (IEEE) 12. 10.1109/ACCESS.2024.3376400
22. Nasir, Muhammad and Samsudin, Noor Azah and Sharif, Wareesa and Baowidan, Souad and Arshad, Dr. Humaira and Mushtaq, Muhammad Faheem. 2024. “Towards Dimension Reduction: A Balanced Relative Discrimination Feature Ranking Technique for Efficient Text Classification (BRDC).” The Science and Information Organization 15. 10.14569/IJACSA.2024.0150766
23. Rizwan, Muhammad and Mushtaq, Muhammad Faheem and Rafiq, Maryam and Mehmood, Arif and Diez, Isabel de la Torre and Villar, Monica Gracia and Garay, Helena and Ashraf, Imran. 2024. “Depression Intensity Classification from Tweets Using FastText Based Weighted Soft Voting Ensemble.” Tech Science Press 78. https://doi.org/10.32604/cmc.2024.037347
24. Akram, Urooj and Sharif, Wareesa and Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Aray, Daniel Gavilanes and Thompson, Ernesto Bautista and Diez, Isabel de la Torre and Djuraev, Sirojiddin and Ashraf, Imran. 2023. “IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System.” MDPI AG 23. https://doi.org/10.3390/s23146379
25. Abid, Muhammad Adeel and Mushtaq, Muhammad Faheem and Akram, Urooj and Abbasi, Mateen Ahmed and Rustam, Furqan. 2023. “Comparative analysis of TF-IDF and loglikelihood method for keywords extraction of twitter data.” Mehran University of Engineering and Technology 42. https://doi.org/10.22581/muet1982.2301.09
26. Sarwar, Ayesha and Mushtaq, Muhammad Faheem and Akram, Urooj and Rustam, Furqan and Hamza, Ameer and Rupapara, Vaibhav and Ullah, Saleem. 2023. “IoT networks attacks detection using multi-novel features and extra tree random - voting ensemble classifier (ER-VEC).” Springer Science and Business Media LLC 14. https://doi.org/10.1007/s12652-023-04666-x
27. Rizwan, Muhammad and Mushtaq, Muhammad Faheem and Akram, Urooj and Mehmood, Arif and Ashraf, Imran and Sahelices, Benjamín. 2022. “Depression Classification From Tweets Using Small Deep Transfer Learning Language Models.” Institute of Electrical and Electronics Engineers (IEEE) 10. https://doi.org/10.1109/ACCESS.2022.3223049
28. Rustam, Furqan and Mushtaq, Muhammad and Hamza, Ameer and Farooq, Muhammad and Jurcut, Anca and Ashraf, Imran. 2022. “Denial of Service Attack Classification Using Machine Learning with Multi-Features.” MDPI AG 11. https://doi.org/10.3390/electronics11223817
29. Abid, Muhammad Adeel and Ullah, Saleem and Siddique, Muhammad Abubakar and Mushtaq, Muhammad Faheem and Aljedaani, Wajdi and Rustam, Furqan. 2022. “Spam SMS filtering based on text features and supervised machine learning techniques.” Springer Science and Business Media LLC 81. https://doi.org/10.1007/s11042-022-12991-0
30. Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Majeed, Rizwan and Samad, Ali and Mushtaq, Zaigham and Akram, Urooj. 2022. “Feature Discrimination of News Based on Canopy and KMGC-Search Clustering.” Institute of Electrical and Electronics Engineers (IEEE) 10. 10.1109/ACCESS.2022.3152159
31. Rizwan Majeed and Nurul Azma Abdullah and Muhammad Faheem Mushtaq and Muhammad Umer and Michele Nappi. 2021. “Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier.” Electronics / MDPI AG 10. https://doi.org/10.3390/electronics10232926
32. Muhammad Azhar Shahid, Urooj Akram, Muhammad Mazhar Ali Shahid, Ali Samad, Muhammad Faheem Mushtaq, Rizwan Majeed. 2021. “Compromising Remote Site HTTPS Traffic Using Open Source Tools.” IEEE 23rd International Multitopic Conference (INMIC). DOI: 10.1109/INMIC50486.2020.9318180
33. Ameer Hamza, Urooj Akram, Ali Samad, Saima Noreen Khosa, Rida Fatima, Muhammad Faheem Mushtaq. 2021. “Defense Mechanism of Unmanned Aerial Vehicle’s against Cyber Threads: A Review.” IEEE 23rd International Multitopic Conference (INMIC). DOI: 10.1109/INMIC50486.2020.9318207
34. Atif Ishaq Khan, Syed Asad Raza Kazmi, Muhammad Faheem Mushtaq and Muhammad Idrees and Ilyas Fakir and Muhammad Safyan and Muhammad Adnan Khan and Awais Qasim. 2021. “Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic.” Computers, Materials & Continua 67. 10.32604/cmc.2021.013865
35. Shahan Yamin Siddiqui, Muhammad Adnan Khan, Muhammad Faheem Mushtaq and Rizwan Ali Naqvi and Dildar Hussain and Amir Haider. 2021. “Intelligent Breast Cancer Prediction Empowered with Fusion and Deep Learning.” Computers, Materials & Continua 67. 10.32604/cmc.2021.013952
36. Muhammad Waqas Nadeem, Muhammad Adnan Khan and Muhammad Faheem Mushtaq and Vasaki a/p Ponnusamy. 2021. “Fusion-Based Machine Learning Architecture for Heart Disease Prediction.” Computers, Materials & Continua 67. 10.32604/cmc.2021.014649
37. Rizwan Ali Naqvi and Muhammad Faheem Mushtaq and Natash Ali Mian and Muhammad Adnan Khan and Atta-ur-Rahman and Muhammad Ali Yousaf and Muhammad Umair and Rizwan Majeed. 2021. “Coronavirus: A “Mild” Virus Turned Deadly Infection.” Computers, Materials & Continua 67. 10.32604/cmc.2021.012167
38. Erum Wazir, Ghulam Gilanie, Amina Ashfaq, Hafeez Ullah, Muhammad Faheem Mushtaq and Zoya Qasim. 2021. “Early-Stage Detection of Cardiac Related Diseases Using Artificial Neural Networks.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
39. Ghulam Gilanie, Nasira Rehman, Usama Ijaz Bajwa, Sabiha Sharif, Hafeez Ullah and Muhammad Faheem Mushtaq. 2021. “FERNet: A Convolutional Neural Networks Based Robust Model to Recognize Human Facial Expressions.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
40. Muhammad Ali Javaid, Mobeen Shahroz, Muhammad Faheem Mushtaq, Muhammad Ali, Wareesa Sharif and Amna. 2021. “LSD: Discrimination of Coal Mining Accident’s Causes Based on Ensemble learning.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
41. Amna Ashraf, Nazri Mohd Nawi, Muhammad Aamir and Muhammad Faheem Mushtaq. 2021. “The Comparative performance of Clustering Algorithms on Classification Problems.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
42. Syeda Fiza Rubab, Muhammad Faheem Mushtaq, Muhammad Hussain Tahir, Amna, Ali Samad and Ghulam Gilanie. 2021. “The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
43. Muhammad Ali, Muhammad Faheem Mushtaq, Mobeen Shahroz, Rizwan Majeed, Ali Samad, Urooj Akram. 2021. “Elderly Fall Activity Detection Using Supervised Machine Learning Models.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
44. Arslan Abdul ghaffar, Muhammad Faheem Mushtaq, Amna, Urooj Akram, Ali Samad and Ghulam Gilanie. 2021. “Refined Sentiment analysis by Ensembling Technique of Stacking Classifier.” Accepted in Springer Proceeding of the International Conference soft computing and data Mining, Malaysia.
45. Mushtaq, Muhammad Faheem and Shahroz, Mobeen and Aseere, Ali M. and Shah, Habib and Majeed, Rizwan and Shehzad, Danish and Samad, Ali. 2021. “BHCNet: Neural Network-Based Brain Hemorrhage Classification Using Head CT Scan.” Institute of Electrical and Electronics Engineers (IEEE) 9. https://doi.org/10.1109/ACCESS.2021.3102740
46. Majeed, Rizwan and Abdullah, Nurul Azma and Mushtaq, Muhammad Faheem. 2021. “IoT-based Cyber-security of Drones using the Naïve Bayes Algorithm.” The Science and Information Organization 12. http://dx.doi.org/10.14569/IJACSA.2021.0120748
47. Muhammad Faheem Mushtaq and Mobeen Shahroz and Ali M. Aseere and Habib Shah and Rizwan Majeed and Danish Shehzad and Ali Samad. 2021. “BHCNet: Neural Network-Based Brain Hemorrhage Classification Using Head CT Scan.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 9. 10.1109/ACCESS.2021.3102740
48. Ali, Arish and Mushtaq, Muhammad Faheem and Umer, Muhammad and Ahmad, Maqsood and Sadiq, Saima and Nappi, Michele and Vijayakumar, P. 2021. “Smart Stove Automation Using Wireless Network and Mobile Application.” Springer Singapore 0. https://doi.org/10.1007/978-981-33-6141-6_40
49. Aziz, Sameen and Ullah, Saleem and Mughal, Bushra and Mushtaq, Faheem and Zahra, Sabih. 2020. “Roman Urdu sentiment analysis using Machine Learning with best parameters and comparative study of Machine Learning algorithms.” The University of Lahore 3. https://doi.org/10.51846/vol3iss2pp172-177
50. Dildar Hussain, Sagheer Abbas, Rizwan Ali Naqvi, Muhammad Faheem Mushtaq and Abdur Rehman and Afrozah Nadeem. 2020. “Enabling Smart Cities with Cognition Based Intelligent Route Decision in Vehicles Empowered with Deep Extreme Learning Machine.” Computers, Materials & Continua 66. 10.32604/cmc.2020.013458
51. Mobeen Shahroz, Muhammad Faheem Mushtaq, Arif Mehmood, Saleem Ullah and Gyu Sang Choi. 2020. “RUTUT: Roman Urdu to Urdu Translator Based on Character Substitution Rules and Unicode Mapping.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 8. 10.1109/ACCESS.2020.3031393
52. Rizwan Majeed, Nurul Azma Abdullah, Imran Ashraf, Yousaf Bin Zikria and Muhammad Faheem Mushtaq and Muhammad Umer. 2020. “An intelligent, Secure and Smart Home Automation System.” Scientific Programming / Hindawi Limited 2020. 10.1155/2020/4579291
53. 19.Sameen Aziz, Saleem Ullah, Bushra Mughal, Muhammad Faheem Mushtaq, Sabih Zahra. 2020. “The Roman Urdu sentiment analysis using Machine Learning with best parameters and comparative study of Machine Learning algorithms.” Pakistan Journal of Engineering and Technology 3.
54. Abid Ishaq, Muhammad Umer, Muhammad Faheem Mushtaq, Carlo Medaglia, Hafeez Ur Rehman Siddiqui and Gyu Sang Choi. 2020. “Extensive hotel reviews classification using long short term memory.” Journal of Ambient Intelligence and Humanized Computing / Springer Science and Business Media LLC 12. 10.1007/s12652-020-02654-z
55. Bushra Mughal, Muhammad Faheem Mushtaq, Attaullah Buriro. 2020. “Classification of Breast Lesions in combination with Metamorphic Segmentation and Saliency Feature Block, .” Proceeding of International Conference on Intelligent Technologies and Applications (INTAP'19), in Springer: Intelligent Technologies and Applications 0.
56. Maqsood Ahmad, Noorhaniza Wahid, Arif Mehmood, Gyu Sang Choi, Rahayu A. Hamid, Muhammad Faheem Mushtaq, and Shaznoor Shakira Saharuddin. 2020. “Mental Health App Reviews Analyzer (MHARA) Using Logistic Regression and Tri-Gram.” Proceeding of International Conference of Soft Computing and Data Mining, in Springer: Advances in Intelligent Systems and Computing (AISC) 0.
57. Muhammad Adeel Abid, Muhammad Faheem Mushtaq, Urooj Akram, Bushra Mughal, Maqsood Ahmad, Muhammad Imran. 2020. “Recommending Domain Specific Keywords for Twitter.” , Proceeding of International Conference of Soft Computing and Data Mining, in Springer: Advances in Intelligent Systems and Computing (AISC) 0.
58. Adeel Ahmed, Matiullah, Saleem Ullah, Muhammad Faheem Mushtaq, Salman Qadri and Urooj Akram. 2020. “Automatic Patents Classification using Supervised Machine Learning.” Proceeding of International Conference of Soft Computing and Data Mining, in Springer: Advances in Intelligent Systems and Computing (AISC) 0.
59. Rachid Zagrouba, Atta-ur-Rahman, Muhammad Aamer Saleem, Muhammad Faheem Mushtaq and Abdur Rehman. 2020. “Modelling and Simulation of COVID-19 Outbreak Prediction Using Supervised Machine Learning.” Computers, Materials & Continua 66. 10.32604/cmc.2021.014042
60. Siti Radhiah Megat Azahari, Sapiee Jamel, Muhammad Faheem Mushtaq, Kamaruddin Malik Mohamad, Mustafa Mat Deriis. 2020. “Tesseract Encryption Algorithm using Latin Square of Order 8 (TEA-O8).” COMPUSOFT, An International Journal of Advanced Computer Technology 0.
61. Mobeen Shahroz and Muhammad Faheem Mushtaq and Maqsood Ahmad and Saleem Ullah and Arif Mehmood and Gyu Sang Choi. 2020. “IoT-Based Smart Shopping Cart Using Radio Frequency Identification.” IEEE Access / Institute of Electrical and Electronics Engineers (IEEE) 8. 10.1109/ACCESS.2020.2986681
62. 31.Urooj Akram, Rozaida Ghazali, Lokman Hakim Ismail, Noor Aida Hussaini, Muhammad Faheem Mushtaq. 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.
63. Muhammad Faheem Mushtaq, Sapiee Jamel, Urooj Akram, Mustafa Mat Deris,. 2019. “Key Schedule Algorithm using 3-Dimensional Hybrid Cube for Block cipher.” International Journal of Advanced Computer Science and Applications (IJACSA) 0.
64. Haseeb Ali, Mohd Najib Mohd Salleh, Rohmat Saedudin, Kashif Hussain, Muhammad Faheem Mushtaq. 2019. “Imbalance class problems in data mining: a review.” Indonesian Journal of Electrical Engineering and Computer Science / Institute of Advanced Engineering and Science 14. 10.11591/ijeecs.v14.i3.pp1552-1563
65. Wareesa Sharif, Iwan Tri Yadi Yanto, Noor Azah Samsudin, Mustafa Mat Deris, Abdullah Khan, Muhammad Faheem Mushtaq. 2019. “An Optimized Support Vector Machine with Ringed Seal Search Algorithm for Efficient Text Classification.” Journal of Engineering Science and Technology 14.
66. Sattar, Hina and Bajwa, Imran Sarwar and ul Amin, Riaz and Muhammad, Jan and Mushtaq, Muhammad Faheem and Kazmi, Rafaqut and Akram, Muhammad and Ashraf, Muhammad and Shafi, Umar. 2019. “Smart Wound Hydration Monitoring Using Biosensors and Fuzzy Inference System.” Wiley 2019. https://doi.org/10.1155/2019/8059629
67. Siddiqui, Hafeez Ur Rehman and Brown, Robert and Dudley, Sandra and Mushtaq, Muhammad Faheem. 2019. “Gas Metering Using Optical Sensor.” IEEE 0. 10.1109/ICETAS48360.2019.9117567
68. Muhammad Zulqarnain, Rozaida Ghazali, Muhammad Ghulam Ghouse, Muhammad Faheem Mushtaq. 2019. “Efficient processing of GRU based on word embedding for text classification: A Review.” International Journal on Informatics Visualization (JOIV) 0.
69. Muhammad Faheem Mushtaq, Urooj Akram, Muhammad Aamir, Haseeb Ali. 2019. “Neural Network Techniques for Time Series Prediction: A Review.” International Journal on Informatics Visualization (JOIV).
70. Umer Iqbal, Rozaida Ghazali, Muhammad Faheem Mushtaq and Afshan Kanwal. 2018. “Functional Expansions Based Multilayer Perceptron Neural Network for Classification Task.” Computacion y Sistemas / Instituto Politecnico Nacional/Centro de Investigacion en Computacion 22. 10.13053/cys-22-4-2602
71. Urooj Akram, Rozaida Ghazali, Muhammad Faheem Mushtaq. 2017. “A Comprehensive Survey on Pi-Sigma Neural Network for Time Series Prediction.” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 0.
72. Muhammad Faheem Mushtaq, Urooj Akram, Irfan Khan, Sundas Naqeeb Khan, Asim Shahzad, Arif Ullah. 2017. “Cloud Computing Environment and Security Challenges: A Review.” International Journal of Advanced Computer Science and Applications (IJACSA) 0.
73. Muhammad Faheem Mushtaq, Sapiee Jamel, Kamaruddin Malik Mohamad, Shamsul Kamal Ahmad Khalid, Mustafa Mat Deris. 2017. “Key Generation Technique based on Triangular Coordinate Extraction for Hybrid Cubes.” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 0.
74. Sundas Naqeeb Khan, Nazri Mohd Nawi, Asim Shazad, Arif Ullah, Muhammad Faheem Mushtaq, Jamaluddin Mir, Muhammad Aamir. 2017. “Comparative Analysis for Heart Disease Prediction.” International Journal on Informatics Visualization 0.
75. Muhammad Faheem Mushtaq, Sapiee Jamel, Abdulkadir Hassan Disina, Zahraddeen A. Pindar, Nur Shafinaz Ahmad Shakir, Mustafa Mat Deris. 2017. “A Survey on the Cryptographic Encryption Algorithms.” International Journal of Advanced Computer Science and Applications (IJACSA) 0.
76. Muhammad Faheem Mushtaq, Dost Muhammad Khan, Urooj Akram, Saleem Ullah, Adeel Tariq. 2017. “A Cognitive Architecture for Self Learning in Humanoid Robots.” International Journal of Computer Science and Network Security 0.
77. Wareesa Sharif, Noor Azah Samsudin, Mustafa Mat Deris, Rashid Naseem, Muhammad Faheem Mushtaq. 2017. “Effect of Negation in Sentiment Analysis.” International Journal of Computational Linguistics Research 0.
78. Muhammad Faheem Mushtaq, Sapiee Jamel, Mustafa Mat Deris. 2017. “Triangular Coordinate Extraction (TCE) for Hybrid Cubes.” Journal of Engineering and Applied Sciences 12.
79. Muhammad Faheem Mushtaq, Urooj Akram, Adeel Tariq, Irfan Khan, Muhammad Zulqarnain, Umer Iqbal. 2017. “An Innovative Cognitive Architecture for Humanoid Robot.” International Journal of Advanced Computer Science and Applications (IJACSA) 0.
80. Faisal Shahzad, Muhammad Faheem Mushtaq, Saleem Ullah, M. Abubakar Siddique and Shahzada Khurram and Najia Saher. 2015. “Improving Queuing System Throughput Using Distributed Mean Value Analysis to Control Network Congestion.” Communications and Network / Scientific Research Publishing 7. 10.4236/cn.2015.71003
81. Muhammad Asghar, M. Faheem Mushtaq, Hina Asmat, Malik Muhammad Saad Missen, Tareef Ali Khan, Saleem Ullah. 2014. “Finding Correlation between Content Based Features and the Popularity of a Celebrity on Twitter.” International Journal of Computer Science Issues (IJCSI) 0.
82. Tareef Ali Khan, Hina Asmat, Faisal Shahzad, M. Faheem Mushtaq, Malik Muhammad Saad Missen, Nadeem Akhtar. 2014. “SN2SMS: Location-Aware Social Network Based SMS Health-Care System.” International Journal of Computer Science Issues (IJCSI) 0.
Research and Development Projects
1. Application Of GRU-Deep Learning Model for the Prediction of Landfill Disposal Area Based on Domestic Waste Generation Rate
With: Ministry of Science, Technology, and Innovation, Malaysia (2021-09 - 2023-08)
Application Of GRU-Deep Learning Model for the Prediction of Landfill Disposal Area Based on Domestic Waste Generation Rate, in Collaboration with UTHM Malaysia and Ministry of Science, Technology, and Innovation, Malaysia, under the Project Vote No. IF1120M1361
2. Key schedule algorithm based on coordinate geometry of a hybrid cubes
With: CGS UTHM Malaysia (2018-03 - 2018-07)
UTHM BIASISWAZAH Scholarship, Research Project with Title: Key schedule algorithm based on coordinate geometry of a hybrid cubes, Funded CGS, UTHM, Malaysia.
3. Key schedule algorithm based on coordinate geometry of a hybrid cubes
With: CGS UTHM Malaysia (2017-10 - 2018-02)
UTHM BIASISWAZAH Scholarship, Research Project with Title: Key schedule algorithm based on coordinate geometry of a hybrid cubes, Funded by CGS, UTHM, Malaysia.
4. Key schedule algorithm based on coordinate geometry of a hybrid cubes
With: Ministry of Higher Education Malaysia (2016-03 - 2017-08)
GPPS Research Project with Title: Key schedule algorithm based on coordinate geometry of a hybrid cubes, funded by the Ministry of Higher Education Malaysia under the Project Vote No. U393.