Dr. Muhammad Iqbal Hossain is an Associate Professor of the Computer Science and Engineering Department of BRAC University. Significant achievements and rigorous pursuits mark his academic journey. Dr. Hossain earned his Ph.D. in Computer Engineering from Kyungpook National University, South Korea, in January 2018. During his doctoral tenure, he actively participated in the Embedded Software Engineering Lab. His contributions to this lab resulted in a substantial collection of peer-reviewed journals and presentations at both international and domestic conferences in Korea. Dr. Hossain's commitment to staying at the forefront of his field is evident through his active participation in various international conferences and symposiums, which have enriched his perspectives and insights.

Dr. Hossain's scholarly pursuits have garnered him recognition beyond his academic accomplishments. His expertise has led him to assume significant roles as a Reviewer and Editorial Board Member for reputable international journals and conferences. Moreover, his remarkable academic journey was facilitated by prestigious scholarships, including the Korean Government Scholarship (GKS) in 2009, which enabled his graduate studies. Subsequently, his exceptional dedication and contributions were acknowledged with the KNU Honors Scholarship during his doctoral pursuit.

Dr. Iqbal’s research interests primarily focus on Information security (Including Cryptography, Access control, and privacy), AI and Machine learning, Model-based Software Engineering, Software Testing and Verification, and automation.

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Journal publications:

1. Reducing catastrophic forgetting in CNNs for plant stress classification using continual learning, Ahmed Shakib Reza, Shakib Sadat Shanto, Farah Ulfat Zaima, Tazkera Sattar, Mysha Maliha Annisa, Muhammad Iqbal Hossain, Diya Rahman & Tze Hui Liew, Scientific reports, 2026.
2. FICNet: A Deep Learning Framework for Intrusion Detection in Agricultural Internet of Things, Md. Fahmid-Ul-Alam Juboraj, Fahmid Al Farid Mahe Zabin, Jia Uddin, Muhammad Iqbal Hossain, Sarina Mansor, CMES-Computer Modeling in Engineering & Sciences, 2026. [ SCIE (Q1 | IF 2.5)].
3. A cross-dataset based zero-day intrusion detection system by integrating siamese network and reinforcement learning, Md. Meheraj Hossain, Saumik Das Turja, Sibgatullah Tasnim, Md. Fahmid-Ul-Alam Juboraj, Muhammad Iqbal Hossain, ICT Express, Volume 12, Issue 3, 2026. (Link) [ Sciencedirect (Q1 | IF 4.2)].
4. “A multi-level random key cryptosystem based on DNA encoding and state-changing mealy machine”, Towshik Anam Taj, Muhammad Iqbal Hossain, Journal of Information Security and Applications, Volume 83, June 2024. (Link) [Elsevier (Q1 | IF 5.6)]
5. “Demystifying machine learning models of massive IoT attack detection with Explainable AI for sustainable and secure future smart cities”, Rabeya Khatun Muna, Muhammad Iqbal Hossain, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Michele Ianni, Giancarlo Fortino, Journal of Internet of Things, 2023. (Link) [Scopus (Q1 | IF: 5.9)]
6. “Application of Homomorphic Encryption on Neural Network in Prediction of Acute Lymphoid Leukemia”, Ishfaque Qamar Khilji, Kamonashish Saha, Jushan Amin Shonon, Muhammad Iqbal Hossain, International Journal of Advanced Computer Science and Applications, vol.11, Issue.6, pp. 510-517, March 2020. (Link) [Scopus (Q3 | Cite Score 2.1)]Reports
7. “Performance Analysis of Machine Learning Classifiers for Detecting PE Malware”, ABMA Azmee, PP Choudhury, MA Alam, O Dutta, MI Hossain, International Journal of Advanced Computer Science and Applications, vol.11, Issue.1, pp. 510-517, March 2020. (Link) [Scopus (Q3 | Cite Score 2.1)]
8. “Integration testing based on indirect interaction for embedded systems”, Muhammad Iqbal Hossain, Woo Jin Lee, International Journal of Reconfigurable and Embedded Systems, vol.8, Issue 2, pp.86-98, July 2019. (Link) [Scopus (Q3 | Cite Score 0.9)]
9. “Fault injection based indirect interaction testing approach for embedded system,” Muhammad Iqbal Hossain, Woo Jin Lee, KIPS Transactions on Software and Data Engineering, vol.6, No.9, pp.419-428, 2017. (Link)
10. "An Object Interaction Testing Approach based on Interaction Pattern in Object-Oriented System", Muhammad Iqbal Hossain, Woo Jin Lee, Journal of Korean Institute of Information Scientists and Engineers (KIISE): Software and Applications, Vol. 41, No. 1, January 2014.
11. "A Scalable Integration Testing Approach considering Independent Usage Pattern of Global Variables", Muhammad Iqbal Hossain, Woo Jin Lee, International Journal of Software Engineering and Its Applications, Vol. 7, No. 3, May 2013.
12. "A Practical approach on Model checking with Modex and Spin", Muhammad Iqbal Hossain, Nahida Sultana Chowdhury, International Journals of Engineering & Sciences (IJECS), ISSN: 2077-1231 Volume: 11, Issue: 05, 2011. (Link)
13. "A Voice operating System designed by the Combination of VB6 and SAPI Software", Nahida Sultana Chowdhury, Muhammad Iqbal Hossain, Md. Tanvir Ahmed, Md. Fayyaz Khan, International Journal of Computer and Information Technology, Volume 01, Issue 02, 2011.
14. "The Standard of Embedded World by Studying of OSEK/VDX", Nahida Sultana Chowdhury, Muhammad Iqbal Hossain, Md. Tanvir Ahmed, International Journal of Computer and Information Technology (IJCIT), Volume 01, Issue 02, 2011. (Link)
15. "Implementation of a Voice Recognition Technique for Motor Drive", Muhammad Iqbal Hossain, Chowdhury Nahida Sultana, Ahmed MD. Tanvir, Dr. MD. Fayyaz Khan; Journal of Electrical Engineering, the Institute of Engineers, Bangladesh, Volume: EE 36, No. I, June 2009.

1. Accreditation Lead, Curriculum committee, Dept. of CSE, BRAC University.
2. Guest speaker at the seminar titled “Cryptography and Ethical Hacking: The Future of Cybersecurity, 2024. (LINK)
3. Reviewer on Journal of Information Assurance and Security.
4. Reviewer on IEEE Access.
5. Reviewer on 27th International Conference on Computer and Information Technology (ICCIT), 2024.
6. Reviewer on IEEE International Conference on Signal Processing, Information, Communication and Systems, 2024.
7. Jury Board member of Blockchain Olympiad Bangladesh, BCOLBD 2024.
8. Reviewer in the 2nd International Conference on Information and Communication Technology (ICICT2024).
9. Reviewer in the  2nd International Conference on Information and Communication Technology (ICICT), 2024.
10. Reviewer in the  Journal of Umm Al-Qura University for Engineering and Architecture, 2024.
11. Reviewer at the 10th Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2023.
12. Reviewer in the Journal of Frontiers in Artificial Intelligence, 2023.
13. PC Member of the International Conference on Advances in Computing Research, 2024.
14. Technical Program Committee 8th Edition of the International Conference on Information System Design and Intelligent Applications (ISDIA), Dubai, UAE, 2023.
15. Reviewer on Communications Biology Journal, Nature Publishing Group, 2023.
16. Program committee member of ACR'24 (The Second International Conference on Advances in Computing Research.
17. Reviewer on 25th International Conference on Computer and Information Technology (ICCIT), 2022.
18. Reviewer on 2nd International Conference on Computing Advancement (ICCA), 2022
19. Reviewer on International Conference on Science and Contemporary Technologies (ICSCT), 2021
20. Sub-reviewer on The International Conference on Science and Contemporary Technologies (ICSCT), 2021.
21. Technical Program Committee at International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021.
22. Review coordinator of Student Assistantship Fund (SAF) at Brac University, 2021.
23. PC Member of the 2nd International Conference on Advanced Information and Communication Technology, 2020.
24. Reviewer on IEEE Access, 2020.
25. Reviewer at the International conference on electrical, computer, and communication engineering 2019.
26. Reviewer on 1st International Conference on Advances in Science, Engineering and Robotics Technology, 2019
27. Reviewer on International Journal of Computers and Applications, 2019.
28. Sub-reviewer at the 2nd International Conference on Innovation in Engineering and Technology 2019
29. Sub-reviewer on 2nd International Conference on Cyber Security and Computer Science, 2020
30. Technical Program Committee at International Workshop on Computer Vision and Intelligent Systems-2019

1. Best Paper award in The 46th Proceedings of Korea Computer Congress
2. KNU Honors Scholarships for Doctoral program from Kyungpook National University, South Korea
3. Best Paper award in The 37th KIPS Spring Conference
4. Korean Government Scholarship from NIIED for Graduate study

1. Harnessing Deep Learning and Explainable AI for Accurate Skin Rash Detection and Classification, Sad Md. Tafhim; Dipak Debnath Arka; Eftakhairul Islam; Maliha Mussarrat; Sifat Tanvir; Muhammad Iqbal Hossain, IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), Bangladesh, 2026. (Link)
2. Enhancing Multi-class Malware Detection in Resource-constrained Environments,  Alif Rahman, Abdul Khalek Alve, Sazzad Hossen Himel, Saadman Zaman, Muhammad Iqbal Hossain, NSysS '25: Proceedings of the 12th International Conference on Next Generation Computing, Communication, Systems and Security, 2025. (Link)
3. Forecasting Literacy Development in Bangladesh: A Comparative Study of Machine Learning and Hybrid Approaches, M. A. Al Arafat Tanzin, M. Jisan Mashrafi and M. I. Hossain, International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025. (Link)
4. Visual Speech Recognition in Bangla: A Convolutional LSTM Framework, M. Shaheen, A. Z. Ifti, A. Hassan, J. Hossain and M. I. Hossain, 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2025. (Link)
5. A Lightweight CNN Model for Detecting Brain Tumors Using MRI Based Image Enhancement,  Maruf Taposh, Abrar Galib, Amit Roy, Md Mahfujur Rahman, Annas Mohd. Nazim, Rafeed Eahman, Muhammad Iqbal Hossain, 4th International Conference on Robotics, Electrical and Signal Processing Techniques 2025. (Link)
6. A Lightweight CNN Model for Detecting Brain Tumors using MRI Based Image Enhancement Maruf Hasan Taposh;Abrar Tahmid Galib;Amit Roy;Md. Mahfujur Rahman;Annas Mohd. Nazim;Rafeed Rahman;Muhammad Iqbal Hossain, 4th International Conference on Robotics, Electrical and Signal Processing Techniques, 2025. (Link)
7. Mitigating Security Threats in Fog Computing for IoT-Enabled Smart Cities,  Sheikh Sadi Emon, Marium Malek,Md. Iftekhar Hossain Turja, Khalid Redwan Sun, Md. Atiqur Rahman, Jannatun Noor, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 (Link)
8. Real-Time DDoS Detection in Software-Defined Networks Using Machine Learning,  Kadir Hasan, Kaji Sajjad Hossain, Md. Shakibul Alam, MD Islam, GM Mohaiminuzzaman Apurbo, Md Faisal Ahmed, Jannatun Noor, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 (Link)
9. Comparative Analysis of Deep Learning and OBIA on Satellite Images for Forest Cover Monitoring,  Israt Ayshi, Maisha Haque, Sadaf M. Anis, Nahian Tasnim, Mithila Moontaha, Md. Sabbir Ahmed, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 (Link)
10. TempFocusNet: Enhancing Short-Term Electric Load Forecasting with LSTM and Temporal Attention,  Fahim Islam, Mehedi Hasan, Abrar Ahsan Efaz, Faijah Rashid, Md. Minhaz Uddin, Muhammad Iqbal Hossain, Amitabha Chakrabarty, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 [Presented]
11. Fetal Health Classification Using Machine Learning: Impact of Data Transformation and Balancing Methods,  Sumaiya Tabassum, Tasmiah Tahrim, Jannatul Tandra, Somak Saha, Chamak Saha, Sadia Sobhana Ridi, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 [Presented]
12. FAANG Stock Price Prediction: A hybrid approach integrating deep learning with ensemble learning,  Sadaf M. Anis, Md. Asif Shahidullah Kabbya, Anika Hasan Talukder, Iffat Jahan Chowdhury, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 (Link)
13. Deepfake Detection Using Neural Networks,  Wajida Anwar Asha, Nures Saba, Syed Mahbubul Huq, Muhammad Iqbal Hossain, 27th International Conference on Computer and Information Technology, Bangladesh,  2024 (Link)
14. ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis, Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis, Nahian Tasnim, Mithila Moontaha, Md. Sabbir Ahmed, Muhammad Iqbal Hossain, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, and Biswajit Banik, The 22nd Australasian Data Science and Machine Learning Conference (AusDM24). [Presented]
15. Enhanced CNN Approaches for Multi-Image Embedding in Image Steganography,  Md. Irtiza Hossain, Sheikh Kadir, Farhan Fagun, Ishtiaq Samiul, Rafi Zaman Saukhin and Muhammad Iqbal Hossain, 2nd International Conference on Information and Communication Technology (ICICT2024). (Link)
16. Dynamic Authentication Scheme for Advanced Security in Federated Metaverse Systems,  Md Fuad Hasan, F.M. Ashfaq, Ahmed Awsaf Chowdhury, Shoeb Hamim, Mustafiza Rahmani, Muhammad Iqbal Hossain, 2nd International Conference on Information and Communication Technology (ICICT2024). (Link)
17. Secure and Transparent Driver Profiling Using Blockchain and IPFS for Smart Cities, Raufar Mostafa, Maliha Jahan Maisha, Nafisa Muhammad, Shifath Jahan Prity, Muhammad Iqbal Hossain,  2nd International Conference on Information and Communication Technology (ICICT2024).(Link)
18. Bridging Worlds: Enhancing Low-Resources Sign Language Recognition and Seamless BdSL-to-Bengali Conversion with Sequential LSTM Innovation,  Tahsinul Haque Dhrubo, Noshin Tabassum, ASM Mahmood, Riead Khan, Farig Sadeque, Muhammad Iqbal Hossain, 3rd International Conference on Computing Advancements 2024. (Link).
19. Securing Federated Learning: A Defense Mechanism Against Model Poisoning Threats, Fabiha Anan, Md. Sifat Kamal, Kazi Shahed Mamun, Nizbath Ahsan, Md. Tanzim Reza, Muhammad Iqbal Hossain, IEEE CONFERENCE ON COMPUTING APPLICATIONS AND SYSTEMS, COMPAS 2024. (Link)
20. “Plant Disease Detection Using Custom Deep Learning Model”, Parvez Miah, Abrar Ahbabul Haque, and Muhammad Iqbal Hossain, Lecture Notes in Networks and Systems, vol 1083. Springer, Aug 2024. (Link)
21. “Segmentation of Bangla Compound Characters: Underlying Simple Character Detection from Handwritten Compound Characters using YOLOv8”, Md Raihanul Islam Bhuiyan, Mahin Shahriar Efaz, Tanjim Reza, Aditi Saha Ria, Md. Tanzim Reza, and Muhammad Iqbal Hossain, The International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2024. (Link)
22. “Optimizing Disease Identification in Mango Leaves: A Channel Attention Approach with Enhanced EfficientNet”, Chamak Saha, Parvez Miah, Somak Saha and Muhammad Iqbal Hossain, The International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2024. (Link)
23. “Comparative Study of Object Detection Models for Safety in Autonomous Vehicles, Homes, and Roads Using IoT Devices”, Mehedi Hasan, Kazi Ahnaf Alavee, Syed Ziaul Bin Bashar, Md. Tahmid Rahman, Muhammad Iqbal Hossain, Md. Golam Rabiul Alam, IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2023. (Link)
24. “Hybrid Steganography: A Multi-Layered Framework for Hybrid Text and Image Concealment Enhanced by AES and LSB Techniques”, Mohon Dash Tanu; S. M. Fahim Faisal; Srabony Majumder; Mumtahinah Rahman Sristy; Rigan Paul; Muhammad Iqbal Hossain; Md. Sabbir Ahmed, 16th International Conference on Security of Information and Networks (SIN), India, 2023. (Link)
25. “Neural Network based Ensemble Learning Model for Elevating Wheat Disease Classification'',  Ahmad Zubair, Sharmin Akter Keya, Tasnia Zarin Shailee, Syed Mahathir Md. Lenin, Dhruba Nandi, Muhammad Iqbal Hossain, 26th International Conference on Computer and Information Technology (ICCIT), 2023. (Link)
26. “Autism detection based on MRI images using Deep Learning'', Sadab Mostafa, Zihadul Karim, Muhammad Iqbal Hossain, 26th International Conference on Computer and Information Technology (ICCIT), 2023. (Link)
27. “PCOS Diagnosis with ConfluenceCNN: A Revolution in Women’s Health'',  Rakib Diptho, Nusrat Jahan, Tahsin Istiyaq, Sifat E Sadakin, Fairuz Anika, Muhammad Iqbal Hossain, 26th International Conference on Computer and Information Technology (ICCIT), 2023. (Link)
28. “N-BEATS & Temporal Fusion Transformer based Surface Temperature Prediction and Forecasting for Realizing Global Warming Trends'', Adria Binte Habib, Faisal Bin Ashraf, Muhammad Iqbal Hossain, Md. Golam Rabiul Alam, 5th International Conference on Artificial Intelligence and Speech Technology (AIST), 2023. (Link)
29. “A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations”, Miftahul Zannat Maliha, Ananya Subhra Trisha, Abu Mauze Tamzid Khan, Prasoon Das, Muhammad Iqbal Hossain, and Rafeed Rahman, International Conference on Big Data, IoT and Machine Learning (BIM 2023),  Lecture Notes in Networks and Systems ((LNNS,volume 867)). (Link)
30. “An Opinion Mining Based Pretrained Model Analysis Depending on Multiple Thinking Patterns”,  Joydhriti Choudhury, Abdullah Al Farabe, Adria Binte Habib, Muhammad Iqbal Hossain, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023). (Link)
31. “Interpretable MOOC Dropout Prediction using Different Ensemble Methods and XAI'', Labib Hasan Khan; Mohammed Ashfaqul Haque; Esaba Ahnaf Ibrahim; Moin Mostakim; Muhammad Iqbal Hossain, 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2023. (Link)
32. “Interpretable Credit Card Fraud Detection Using Machine Learning Leveraging SHAP”, Biswas Joy, Mridha Abir Ahmed, Hossain Mohammad Sakib, Trisha Ananya Subhra, Ahmed Md. Sabbir, Hossain Muhammad Iqbal, IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT). China, 2023. (Link)
33. “Analyzing The Security of e-Health Data Based on a Hybrid Federated Learning Model”, Md. Nasimuzzaman,  Sabrin Akhter, Mohammad Shafkat Hasan, Shakila Zaman, Muhammad Iqbal Hossain, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM-2023). (Link)
34. “Homomorphic Encryption on Deep Learning in accurate prediction of Brain Tumor”, Risum Bhuiyan, Arafat Sarwar, Shakhawat Hossain, Tanun Mahmud, Shakila Zaman, Muhammad Iqbal Hossain, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM-2023). (Link)
35. “CNN-Based Handwriting Analysis For The Prediction Of Autism Spectrum Disorder”, Nafisa Nawer, Mohammad Zavid Parvez and Muhammad Iqbal Hossain, Prabal Datta Barua, Mia Rahim and Subrata Chakraborty in Second International Conference on Innovations in Computing Research (ICR’23), Lecture Notes in Networks and Systems, vol 721. Springer. (Link)
36. "Interpreting Machine and Deep Learning Models for PDF Malware Detection using XAI and SHAP Framework," T. Rahman, N. Ahmed, S. Monjur, F. M. Haque and M. I. Hossain, 2023 2nd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2023. (Link)
37. “Kidney Disease Detection from CT Images using a Customized CNN model and Deep Learning”, Mohammad Sakib Hossain, S.M. Nazmul Hassan, Mohammad Al-Amin, Md. Nakib Rahaman, Rakib    Hossain, Muhammad Iqbal Hossain, International Conference on Advances in Intelligent Computing and Applications, Kochi, India, 2023. (Link).
38. “Comparative Performance Analysis of Accident Anticipation with Deep Learning Extractors”, Azwaad Labiba Mohiuddin, Adiba Tabassum, Nayna Jahan, Alfi Mostak, Abid Abrar, Muhammad Iqbal Hossain, International Conference on Computer and Information Technology,  Cox's Bazar, Bangladesh, 2022. ( link)
39. “IoT Network Attack Detection Using XAI and Reliability Analysis”, Sabrina Tabassum, Nazia Parvin, Nigah Hossain, Anika Tasnim, Rafeed Rahman, Muhammad Iqbal Hossain, International Conference on Computer and Information Technology, Cox's Bazar, Bangladesh, 2022. (Link)
40. “Multi-classification network for detecting skin diseases using deep learning and XAI”, Fahima Hasan Athina, Sadaf Ahmed Sara, Quazi Sabrina Sarwar, Nishat Tabassum, Mun Tarin Jannat Era, Faisal Bin Ashraf, Muhammad Iqbal Hossain, International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT),  Sakheer, Bahrain, 2022. (link)
41. “Computer Vision-Based Bengali Sign Language To Text Generation'', Zarin Anan Aunshu, Tonjih Tazalli, Sumaya Sadbeen Liya, Magfirah Hossain, Zareen Mehjabeen, Md. Sabbir Ahmed, Muhammad Iqbal Hossain, IEEE Fifth International Conference on Image Processing Applications and Systems,  Genova, Italy, 2022. (Link)
42. “Fake Profile Detection in Social Media Using Image processing and Machine learning”, Samiha Sofrana Azim, Mohammad Intisarul Islam, Shuva Sen, Muhammad Iqbal Hossain,  International Conference on Machine Intelligence and Emerging Technologies 2022. (Link)
43. “A Machine Learning and Deep Learning Approach to Classify Mental Illness with the Collaboration of Natural Language Processing'', Md. Rafin Khan, Shadman Sakib, Adria Binte Habib & Muhammad Iqbal Hossain, 1st International Conference on Information and Communication Technology for Development (ICICTD), Data-driven and Industrial Computing book series, Springer, Singapore, 2022. (Link)
44. “Implementing Biometric or Graphical Password Authentication in a Universal Three-Factor Authentication System”, Mohammad Naveed Hossain, Sheikh Fahim Uz Zaman, Tazria Zerin Khan, Sumiaya Azad Katha, Md. Tawhid Anwar and Muhammad Iqbal Hossain, The 4th International Conference on Computer Communication and the Internet, Chiba, Japan, 2022. (Link)
45. “Experimental Analysis of Classification for Different Internet of Things (IoT) Network Attacks Using Machine Learning and Deep learning”, Anika tasnim, Nigah Hossain, Nazia Parvin, Sabrina Tabassum, Rafeed Rahman, Muhammad Iqbal Hossain, International Conference on Decision Aid Sciences and Applications, Chiangrai, Thailand, 2022. (Link)
46. “An enhanced CNN model for classifying skin cancer”,  Kazi Haider, Mondira Dhar, Fahima Akter, Sadia Islam, Syed Ragib, Muhammad Hossain, Moin Mostakim, 2nd International Conference on Computing Advancements - ICCA, Dhaka, Bangladesh, 2022. (Link)
47. “ShielDroid: A hybrid ML and DL based android malware detection system in real time”, Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil, Ahmed Ann Noor Ryen, ARMAN HOSSAIN, Faisal Bin Ashraf and Muhammad Hossain, International Conference on Decision Aid Sciences and Applications, Chiangrai, Thailand, 2022. (Link)
48. “Blockchain-Based Secured Multipurpose Identity (SMID) Management System for Smart Cities”, Abrarul Hassan Rahat, Humayra Tasnin et. al., Arif Shakil, Muhammad Iqbal Hossain, 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA, 2022. (Link)
49. “Medical X-ray Image Classification Employing DCGAN and CNN Transfer Learning Techniques'', Md. Asif Talukdar, Ayesha Siddika, Ahasanul Haque Abir, Mohammed Ziad Hassan and Muhammad Iqbal Hossain, Springer 7th International Congress on Information and Communication Technology (ICICT 2022), London, The United Kingdom and Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 447), Springer, Singapore. (Link)
50. “Electronic Health Records Security and Access Control Using Blockchain and IPFS'', Md. Yeasin Ali, Suhaib Ahmed, Muhammad Iqbal Hossain, A. B. M. Alim Al Islam and Jannatun Noor, 7th International Congress on Information and Communication Technology, UK, 2022 and Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 447), Springer, Singapore. (Link)
51. “Data Security Model Using Deep Learning and Edge Computing for Internet of Things (IoT) in Smart City”, Mohammad Sadman Tahsin, Md. Yasin Aziz, Tanjid Alam Kabbo, Tasnuva Tahsin, Nadia Haque Zumme, Muhammad Iqbal Hossain, 19th OITS International Conference on Information Technology, Bhubaneswar, India, 2021 (link).
52. “Automated Online Exam Proctoring System Using Computer Vision and Hybrid ML Classifier”, Rina Nasir, Protyasa roy, Sumaiya Nawsin, Zarin Tahia Hossain, Muhammad Iqbal Hossain, 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, Dhaka, 2021. (Link)
53. “Malware Detection Using Neural Networks”, Humaira Hossain, Syed Irfan Kayum, Arja Paul, Alim Aldin Rohan, Nafisa Tasnim and Muhammad Iqbal Hossain, 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2021. (Link)
54. “Comparative Analysis of Cloud and Fog Environment Based on Network Usage and Cost of Execution Using iFogSim”, Ajmain Alam, Sadia Jebunnesa Jabin, Mohammad Saqibul Alam and Muhammad Iqbal Hossain, The 2021 International Conference on Decision Aid Sciences and Applications, Sakheer, Bahrain, 2021. (Link)
55. “Real-Time Patient Ailment Monitoring Framework Collaborating Enhanced CNN Architectures”, Yeaminur Rahman, Rezwana Mahfuza, Md. Abdul Hai, Rafsan Shartaj Uddin and Muhammad Iqbal Hossain, The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Poland, 22-25 September, Cracow, Poland, 2021. (Link)
56. “CRAM: A Credit Risk Assessment Model by Analyzing Different Machine Learning Algorithms'', Aquib Abtahi Turjo, Yeaminur Rahman, S.M. Mynul Karim, Tausif Hossain Biswas, Ifroim Dewan, Muhammad Iqbal Hossain, 4th International Conference on Information and Communications Technology (ICOIACT), Indonesia, 2021. (Link)
57. "A Convolutional Neural Network based Model with Improved Activation Function and Optimizer for Effective Intrusion Detection and Classification", Solaiman Kabir, Sadman Sakib, Md. Akib Hossain, Safi Islam, Muhammad Iqbal Hossain, International Conference on Advance Computing and Innovative Technologies in Engineering, Greater Noida, India, 2021. (Link)
58. “FoodieCal: A Convolutional Neural Network Based Food Detection and Calorie Estimation System”, Shahriar Ahmed Ayon, Chowdhury Zerif Mashrafi, Abir Bin Yousuf, Fahad Hossain, Muhammad Iqbal Hossain, The Fourth National Computing Colleges Conference (4th NCCC), Saudi Arabia, 2021. (Link)
59. “Traffic Forecasting Using Time-Series Analysis”, Afsara Tahsin Purnota, Mohammmad Asifur Rahman Shuvo, Muhtadi Zubair, Sarowar Hossain, Muhammad Iqbal Hossain, 6th International Conference on Inventive Computation Technologies (ICICT), India,  pp.141-146, Jan 2021. (link)
60. “RansomListener: An Intelligent System for Investigation of Ransom related Phone Calls Using Convolution Architectures and LSTM”,  Shahriar Hossain, Rafeed Rahman, Mehfuz A Rahman, Sajid Hossain, Mostafijur Rahman Akhond, Muhammad Iqbal Hossain, 6th International Conference on Inventive Computation Technologies (ICICT), India, pp.509-516, Jan 2021. (link)
61. “Autism Spectrum Disorder Detection in Toddlers for Early Diagnosis Using Machine Learning”, Shirajul Islam, Tahmina Akter, Shareea Sabreen, Sarah Zakir and Muhammad Iqbal Hossain, The 6th IEEE International Conference on Sustainable Technology and Engineering, Australia, 2020. (link)
62. “Enhancing Crops Production Based on Environmental Status Using Machine Learning Techniques”, Shiyam Talukder, Habiba Jannat, Katha Sengupta, Sukanta Saha, Muhammad Iqbal Hossain, International Conference on Computer Science and Its Application in Agriculture (ICOSICA), Bogor, Indonesia, Sep 2020. (Link)
63. “Autism Spectrum Disorder Detection in Toddlers for Early Diagnosis Using Machine Learning”, Shirajul Islam, Tahmina Akter, Shareea Sabreen, Sarah Zakir and Muhammad Iqbal Hossain, IEEE Computer Society Bangladesh Chapter Winter Symposium, Nov 2020.
64. “Analysis of Malware Prediction Based on Infection Rate Using Machine Learning Techniques”, Ashub bin asad, Safir Zawad, Nahian Evan, Raiyan Mansur, Muhammad Iqbal Hossain, 2020 IEEE Region 10 Symposium (TENSYMP), Bangladesh, pp.706-709, June 2020. (Link)
65. “Performance analysis for machine learning algorithms for predicting Malware”, ABMA Azmee, PP Choudhury, MA Alam, O Dutta, MI Hossain, 6th International Conference on Networking, Systems and Security, 2019.
66. “Prediction of Acute Lymphoid Leukemia using Convolutional Neural Network”, K Ishfaque Qamar, S Kamonashish, S Jushan, MI Hossain, International Workshop on Computer Vision and Intelligent Systems, 2019.
67. "Data flow based integration testing for embedded System using interaction Model", Muhammad Iqbal Hossain, Woo Jin Lee, The 21st Asia-Pacific Software Engineering Conference, December 2014. (Link)
68. "A testing approach based on object interaction pattern in object oriented system", Muhammad Iqbal Hossain, Souyong Jeong, Lee Sung Hee, Woo Jin Lee, 46th Proceedings of Korea Computer Congress, June 2013.
69. "A Testing Approach using Dependency Pattern of Global Variables in Embedded Software", Muhammad Iqbal Hossain, Hodong Ryu, Woo Jin Lee, Proceedings of 2012 for Embedded Engineers, November 2012.
70. "Test Case Generation Considering Definition-Use of Global Variables for Integration Testing", Muhammad Iqbal Hossain, Woo Jin Lee, The 1st International Workshop on Self-Organizing Software Platform in Ubiquitous & Embedded Systems, July 2012.
71. "Integration Testing Approach using usage patterns of global variables", Muhammad Iqbal Hossain, Youngsul Shin, Woo Jin Lee, The 37th KIPS Spring Conference, April 2012.
72. "Test Case Generation for Integration Medical Systems Considering Function Characteristics', Youngsul Shin, Muhammad Iqbal Hossain, Woo Jin Lee, The Ninth IASTED International Conference on Biomed Engineering, Innsbruck, Austria, Feb 2012.
73. "A Test Case Generation Technique Considering Characteristics of Calling Functions”, Youngsul Shin, Muhammad Iqbal Hossain, Woo Jin Lee, Proceedings of Conference on Embedded Engineering, 2011.

Summer 2025

1. Automated Network Penetration Testing Using Reinforcement Learning
2. Adversarial Machine Learning in Microfinance: Robustness and Security in Credit Scoring Models.
   Designing an LLM-Augmented Framework for Security Evaluation and Policy Recommendation
3. AI-Enhanced Vulnerability Detection: A Machine Learning Approach to Automated Penetration Testing
4. A Cross-Dataset based Zero-Day Intrusion Detection System by Integrating Siamese Network and Reinforcement Learning
5. Deep Learning–Based Behavioral Biometric Authentication Using Keystroke and Touch Patterns
6. Cybersecurity : Exploring Physical Security Vulnerabilities in IoT and Embedded Systems Using Attack vectors.
7. CardioFusion-RT: A Hybrid Multimodal Deep Learning Model Combining ResNet and FT-Transformer for ECG Interpretation and Cardiovascular Disease Prediction
8. Avantgarde: A machine learning based cohesive IPS and IDS system for cybersecurity
    

Fall 2025

1. Deep Learning Based Behavioral Drift Modeling for Continuous Biometric Authentication
   Optimizing the Early Detection of Dementia by Tracking the Progression of Parkinson’s Disease Using Deep Learning and Computer Vision
2. From Signs to Sentences: A Three-Layer Neuro-Symbolic Framework Toward Real-Time Bangla Sign Language Translation
3. Optimizing Performance and Efficiency in Large Language Models Through Hybrid Framework
4. Trustworthy AI-Enhanced DevSecOps: Bridging XAI and RAG for Proactive Vulnerability Mitigation and Adaptive Pipeline Optimization
5. Anchor-Guided Repair: A Defense Mechanism for Enhancing Stability of Compromised Pretrained Language Models Against Low-Precision and Weight Noise Attacks
6. Zero-Day Malware Detection in the Windows Ecosystem : A Hybrid Contrastive and Behavioral  Learning Approach
7. Physics-Informed Variational Autoencoders for Cosmological Field Reconstruction and Parameter Inference.
8. A Bilingual Study of Socio-Cultural Bias in Large Language Models through BanglaBBQ and a Post Processing Mitigation Pipeline
9. Defending Stealthy and Durable Backdoor Attack in FL systems using Layer Norm Filtering and XAI
10. Automated Inhibition Zone Instance Segmentation and Measurement via Geometry-Guided Mask R-CNN in Kirby-Bauer Testing
11. Enhancing Stenography Robustness and Detection using GANs and Open LLMs
12. Dual-Branch Latent Fusion of Autoencoder and Classifier Representations with Active Learning and Adversarial Robustness for Intrusion Detection
     

Spring 2025

1. Towards Personalized Education: Integrating AI in Learning Environments through Bangla Language.
   Enhancing Multi-class Malware Detection in Resource-constrained Environments
2. Automating Web Application Vulnerability Detection through Generative AI and Security Tool Based Penetration Testing Framework
3. Optimizing Skin Lesion Analysis: A Noise Augmented  EfficientNet Approach to Segmentation and Classification
4. Multi-Paradigm Network Anomaly Identification: Leveraging Supervised, Unsupervised and Hybrid Approaches to Discover Known and Unknown Threats for Enhanced Intrusion Detection
5. Deepfake Speech Recognition: Evaluating Accuracy and Efficiency  in Detection Algorithms
6. MidZPPI: A Sequence-Based Approach for Predicting Multi-Label Protein-Protein Interactions in Midnight-Zone of Protein Sequence Alignments
7. Adversarial Machine Learning in Microfinance: Robustness and Security in Credit Scoring Models.
8. Heritage Defect Detection Under Data Scarcity: A Leakage-Aware YOLO–Faster R-CNN Ensemble with Weighted Boxes Fusion.
9. Exploring Competitive Attacks in AI-driven Intrusion Detection: Leveraging Explainable AI for Enhanced Detection
    

Fall 2024

1. Transformer-based Deep Learning Approach to Real-Time Violence Detection
2. Maximizing Security by Integrating OPSEC and AI for Enhanced Defense Strategies
3. A Robust Ensemble Learning Framework for Binary and Multiclass Malware Classification Over Diverse Datasets
4. Transforming Bangladesh Agriculture: AI for Precision Crop Disease Management
5. Exploring depths of deepfakes: Advancing machine learning model for robust detection
6. A Bayesian VAE Based Framework for Synthetic Data Generation and False-Alarm Reduction in Multi-Class Intrusion Detection Systems
7. Performance Evaluation of Machine Learning Models for Intrusion Detection in MQTT-based IoT Environments
    

Summer 2024

1. Optimizing CNN Memory Efficiency: A Continual Learning Solution for Plant Stress Classification
2. Deep Learning for Truthfulness Assessment: Detecting Fake News in Social Media through Deep learning
3. Patch-Based Deepfake Localization: Unveiling Manipulated Regions in Images through Visual Artifact Analysis and Deep-Learning.
4. Developing Usability Heuristics for Bangladeshi E-Commerce Websites: A Desktop and Mobile Focused Approach
5. Chronos with Ensemble GBT: A Hybrid Framework for GDP Forecasting with Zero-Shot Learning.
6. Hybrid quantum-classical learning for multiclass image classification
7. TRI-FED-RKD: Integrating Forward-Reverse Distillation with SNN and CNN within Federated Learning using Tri Layer Hierarchical Aggregation based Architecture.
    

Spring 2024

1. Analyzing Financial Stress and Its Impact on Mental Health Among Bangladeshi Undergraduate Students Using SPSS and SmartPLS
2. Enhanced CNN Approaches for Multi-Image Embedding in Image Steganography
3. A GAN-Based Model for Single Image Super-Resolution on Consumer-Grade GPUs: Comprehensive Analysis and Development of MSRGAN
4. Securing P2P Money Transactions in IoT Devices Using SHE Cryptography
5. Analyzing Security threats and Mitigation Techniques for Fog Computing in IoT-Enabled Smart Cities
6. Dynamic Authentication Protocols for Advanced Security in Federated Metaverse Systems
7. Real-Time DDoS Detection in Software-Defined Networks Using Machine Learning
8. Decentralized Identity Verification: A Blockchain-Based Framework for Self-Sovereign Identity (SSI) with Issuer Trust Registry
9. Risk Radar: A Query-based Threat Identification and Response System integrating NLP techniques
10. GNN Model for Classification of SARS-CoV-2 severity in Molecules

Fall 2023

1. Detecting human emotion from text using ML
2. Forest Cover Mapping from Multi Spectral  Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
3. Shohojogi: An Automated Voice Chat System in the Bengali language for banking system
4. A Two-Stage Classification Approach for PE Malware Detection and Categorization
    

Spring 2023

1. Shohojogi: An Automated Voice Chat System in the Bengali language for banking system
2. Blockchain Based E-Voting System With Homomorphic Encryption and Threshold Signature
3. Discerning taxonomy of transmittable pathogen based on deep learning approach
4. A Hyper-ledger Fabric Based Tamper Proof Decentralized Land Registry System For Bangladesh
5. Advanced insurance system using smart contract of Ethereum blockchain
6. Driver Reputation Management System Using Blockchain for Smart City
7. Deep learning-based steganalysis : Enhancing security of steganography

Fall 2022

1. Automated Feedback Test Generation and functionality testing for UI Development with Self-Guided Recommendation
2. Blockchain-Based Digital Video Anomaly Detection System
3. Non-clinical covid19 diagnosis on CT-Scan, Chest X-Ray, and respiratory patterns using Deep-Learning and Signal Processing
4. Exploring attacks in the NFT gaming industry: A study of Risks and mitigation strategies
5. Autism detection based on MRI images using Deep Learning
6. Exploring the Intersection of Machine Learning and Explainable Artificial Intelligence: An Analysis and Validation of ML Models Through XAI
7. A deep learning approach to predict cryptocurrency price by evaluating sentiment and stock market correlations
8. PDFGuardian: An innovative approach to Interpretable PDF Malware Detection using XAI with SHAP Framework

Spring 2022

1. Identity Governance and Administration ensuring secure access to sensitive data in Govt. e-services.
2. Risk based Hybrid Security Model for enhancing eHealth services of Cloud System
3. A Comparative Performance Analysis of Accident Anticipation with Deep Learning Extractors
4. A permissioned blockchain-Based mobile banking system embedding biometrics.
5. Interpretable credit card fraud detection using Deep Learning leveraging XAI
6. Improving Efficiency in DeepFake Detection using Deep Learning
7. Kidney Disease detection and classification from CT Images using Watershed segmentation and deep learning.
8. Privacy Protected Implementation of Generative Adversarial Network Leveraging Federated Learning

Summer 2022

1. Multi-Classification Network for detecting skin diseases Using Deep Learning and XAI
2. Demand Forecasting On Supply Chain Using ML And NN
3. Non fungible token(NFT) theft detection in crypto art platforms using machine learning.
4. HyperLedger Fabric Induced Supershop Supply Chain Management Model for Securing Product Authenticity
5. An approach to detect Epileptic Seizure using XAI and Machine Learning
6. Security Threat Detection Using  IoT and Hybrid Deep Learning
7. A Multi-Layer Security System for Data Access Control, Authentication, and Authorization
8. Predicting Brain Age from EEG Signals Using Machine Learning and Neural Network
9. Improvement of different network security protocol using algorithms

Fall 2021

1. A Generic Framework of Three Factor Authentication with Optional Bio-metric or Graphical Password
2. A Secured Way Of Keeping Medical Data Efficiently UsingWeb Farm In The Perspective Of Bangladesh
3. Intrusion Detection System for Various IoT Attacks on MQTT protocol
4. Reconstruction of Images with RPCA and Augmenting 3D model
5. Computer Vision-Based Bengali Sign Language To Text Generation
6. An Enhanced CNN Model For Classifying Skin Cancer
7. A Comparative Study of Object Detection Models for Real Time Application in Surveillance Systems

Summer 2021

1. A Comparative Study of Object Detection Models for Real Time Application in Surveillance Systems
2. A Secured Way Of Keeping Medical Data Efficiently Using Web Farm In The Perspective Of Bangladesh 
3. Intrusion Detection System for Various IoT Attacks on MQTT protocol
4. Computer Vision-Based Bengali Sign Language To Text Generation
5. Performance analysis of deep learning algorithm for intrusion detection system(ids) of the internet of things (IOT) security.
6. A Generic Framework of Three Factor Authentication with Optional Bio-metric or Graphical Password
7. An enhanced CNN model for classifying skin cancer
8. Reconstruction of Images with RPCA and Augmenting 3D model

Spring 2021

1. A blockchain-driven framework designed for the pharmaceutical community to secure and trace the trail of the drug supply chain
2. ShielDroid: A Hybrid ML and DL approach for real-time malware detection system in Android
3. Automated Online Exam Proctoring System Using Computer Vision and Hybrid ML Classifier
4. Blockchain based security for smart cities
5. Data Security Model Using Deep Learning and Edge Computing for Internet of Things (IoT) in Smart City
6. Deepfake Detection Using Neural Networks
7. Demystifying Machine Learning Models for IOT Attack Detection with Explainable AI

Fall 2020

1. FoodieCal: A Convolutional Neural Network Based Food Detection and Calorie Estimation System
2. A Performance Comparison Between Machine Learning Models On Zero Day Attack Detection
3. Secured Internet of Things (IoT) Model using Blockchain
4. RansomListener: Ransom Call Sound Investigation Using LSTM and CNN Architectures
5. Analysis Of Software Fault Prediction Using Machine Learning Algorithm
6. SCAMM: Detection and Prevention of SQL Injection Attacks Using a Machine Learning Approach
7. SQL Injection Prevention using Hyperledger Fabric
8. Electronic Medical Record Security & Access Control Using Blockchain & IPFS
9. Malware Detection Using Neural Networks

Summer 2020

1. Autism Spectrum Disorder Detection in Toddlers for Early Diagnosis using Machine Learning
2. EEG Based Analyzing Human Idiosyncrasies Within Unpredictable Circumstances Using 3D Convolutional Neural Networks
3. Traffic Forecasting Using Time-Series Forecasting
4. Smart Protection for Website Using Machine Learning and Image Processing
5. Identification of IoT Vulnerabilities Using DRL
6. Genome Sequence analysis of Bos frontalis and Genome Wide Association Study (GWAS) between near species

Spring 2020

1. Real Time Performance Analysis on DDoS Attack Detection using Machine Learning
2. Enhancing Crops Production Based on Environmental Status Using Machine Learning Techniques
3. Plant Disease detection using machine learning
4. A Convolutional Neural Network based Model with Improved Activation Function and Optimizer for Effective Intrusion Detection and Classification
5. Performance Analysis of Stacking Neural Network and Machine Learning Model for Detecting Fraudulent Transaction

Fall 2019

1. Detection of Acute lymphoid Leukemia using Privacy Preserving Neural Network
2. Analysis of malware prediction based on Infection Rate using machine learning techniques
3. Performance analysis of machine learning classifiers for detecting PE-malware

Summer 2019

1. Market sales prospecting by analyzing customer buying pattern using machine learning
2. Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet