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Dr. Mobeen Shahroz

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Dr. Mobeen Shahroz

Lecturer
PhD Computer Science

Research Supervision Capacity

PHD Completion Year
2024
Specialization
-

PHD Supervision Capacity
1
Current PhD Students
0
Currently PHD Consent
1
Current MS/M.Phil Students
0

About Me

Mobeen Shahroz is a Lecturer in the Department of Artificial Intelligence at the Islamia University of Bahawalpur (IUB), where he completed his Ph.D. in 2024. He earned his MS in Computer Science in 2020 and his MCS in 2018 from the Department of Computer Science at Khawaja Fareed University of Engineering and Information Technology (KFUEIT) in Rahim Yar Khan, Pakistan. 


He has also worked as a Research Assistant at the Fareed Computing and Research Center, KFUEIT, and the Sir Sadiq Research and Computing Center, IUB. His research interests span diverse fields including the Internet of Things (IoT), AI-embedded IoT, medical image classification, bioinformatics, DNA next-generation sequencing, natural language processing (NLP), text classification, machine learning, and deep learning.

As the Departmental Coordinator for the Office of Research, Innovation, and Commercialization (ORIC), He plays a pivotal role in encouraging students to develop IoT based projects, leveraging Python programming and Artificial Intelligence. He is dedicated to fostering an innovative environment and provides substantial support for the annual AI project exhibition, where he helps students showcase their cutting-edge work and gain valuable exposure.  Additionally, he performs crucial duties as the Departmental Coordinator for Final Year Project Management,

His major research contributions focus on clustering optimization, neural networks with Hierarchical Attention Modules (HAM), genetic algorithms, HAM-based human sensual analysis using text opinion, transformers, and advancements in IoT security through deep learning models.

Research Interest Keywords

Internet of Things (IOT)BioinformaticsInformation SecurityNatural Language ProcessingDNA Next Generation SequencingTransformersHierarchical Attention Modules (HAM)ClusteringGenetic Algorithm

Contact Info

Email
mobeen.shahroz@iub.edu.pk
Mobile #
0629255489
Location
Department of Artificial Intelligence, Faculty of Computing, Baghdad ul Jadeed campus, IUB, Bahawalpur, Pakistan

Research Publication

1. Tai-hoon Kim, Mobeen Shahroz, Bayan Alabdullah, Nisreen Innab, Jamel Baili, Muhammad Umer, Imran Ashraf. 2024. “AFNIS Fuzzy Convolutional Neural Network Model For Leaf Disease Detection.” Frontiers in Plant Science 15. 10.3389/fpls.2024.1465960

2. Mudasir Ali, Mobeen Shahroz, Urooj Akram, Muhammad Faheem Mushtaq, Stefanía Carvajal Altamiranda, Silvia Aparicio Obregon, Isabel De La Torre Díez, Imran Ashraf. 2024. “Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model.” IEEE Access 12. 10.1109/ACCESS.2024.3372588

3. Mudasir Ali, Mobeen Shahroz, Muhammad Faheem Mushtaq, Sultan Alfarhood, Mejdl Safran, Imran Ashraf. 2024. “Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment.” IEEE Access 12. 10.1109/ACCESS.2024.3376400

4. Mobeen Shahroz, Mudasir Ali, Alishba Tahir, Henry Fabian Gongora, Carlos Uc Rios, Md Abdus Samad, Imran Ashraf. 2024. “Hierarchical Attention Module-based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model.” IEEE Access 12. 10.1109/ACCESS.2024.3422616

5. Abdul Karim, Mobeen Shahroz, Khabib Mustofa, Samir Brahim Belhaouari, S Ramana Kumar Joga. 2023. “Phishing Detection System Through Hybrid Machine Learning Based on URL.” IEEE Access 11. 10.1109/ACCESS.2023.3252366

6. Urooj Akram, Wareesa Sharif, Mobeen Shahroz, Muhammad Faheem Mushtaq, Daniel Gavilanes Aray, Ernesto Bautista Thompson, Isabel de la Torre Diez, Sirojiddin Djuraev, Imran Ashraf. 2023. “IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System.” Sensors / MDPI 23. 10.3390/s23146379

7. Muhammad Ali Javaid, Mobeen Shahroz, Muhammad Faheem Mushtaq, Muhammad Ali, Wareesa Sharif, Amna Ashraf, Muhammad Ghulam Ghouse. 2022. “LSD: Discrimination of Coal Mining Accident’s Causes Based on Ensemble Machine Learning.” International Conference on Soft Computing and Data Mining / Springer International Publishing 457. 10.1007/978-3-031-00828-3_39

8. Muhammad Ali, Muhammad Faheem Mushtaq, Mobeen Shahroz, Rizwan Majeed, Ali Samad, Urooj Akram. 2022. “Elderly Fall Activity Detection Using Supervised Machine Learning Models.” International Conference on Soft Computing and Data Mining / Springer International Publishing 457. 10.1007/978-3-031-00828-3_33

9. 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.” IEEE Access 10. 10.1109/ACCESS.2022.3152159

10. Abdul Karim, Azhari Azhari, Mobeen Shahroz, Samir Brahim Belhaouri, Khabib Mustofa. 2021. “LDSVM: Leukemia Cancer Classification Using Machine Learning.” Computers, Materials & Continua 71. 10.32604/cmc.2022.021218

11. 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.” IEEE Access 8. 10.1109/ACCESS.2020.3031393

12. Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Mehmood, Arif and Ullah, Saleem and Choi, Gyu Sang. 2020. “RUTUT: Roman Urdu to Urdu Translator Based on Character Substitution Rules and Unicode Mapping.” IEEE Access 8. 10.1109/ACCESS.2020.3031393

13. Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Ahmad, Maqsood and Ullah, Saleem and Mehmood, Arif and Choi, Gyu Sang. 2020. “IoT-Based Smart Shopping Cart Using Radio Frequency Identification.” IEEE Access 8. 10.1109/ACCESS.2020.2986681