Dr. Muhammad Iqbal Hossain is an Associate Professor of the Computer Science and Engineering Department of BRAC University. His academic journey is marked by significant achievements and rigorous pursuits. 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 are mainly focused on Information security (Cryptography, Access control, privacy etc), AI and Machine learning, Model-based Software Engineering, Software Testing and Verification, Automation etc.

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Journal publications:

1. “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)]
2. “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)]
3. “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)]
4. “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)]
5. “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)]
6. “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)
7. "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.
8. "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.
9. "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)
10. "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.
11. "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)
12. "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 of dept. of CSE at Brac University.
2. Reviewer on Communications Biology Journal, Nature Publishing Group, 2023.
3. Program committee member of ACR'24 (The Second International Conference on Advances in Computing Research.
4. Reviewer on 25th International Conference on Computer and Information Technology (ICCIT), 2022.
5. Reviewer on 2nd International Conference on Computing Advancement (ICCA), 2022
6. Reviewer on International Conference on Science and Contemporary Technologies (ICSCT), 2021
7. Sub-reviewer on The International Conference on Science and Contemporary Technologies (ICSCT), 2021.
8. Technical Program Committee at International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021.
9. Review coordinator of Student assistantship fund (SAF) at Brac University, 2021.
10. PC Member of the 2nd International Conference on Advanced Information and Communication Technology, 2020.
11. Reviewer on IEEE Access, 2020.
12. Reviewer on International conference on electrical, computer and communication engineering 2019.
13. Reviewer on 1st International Conference on Advances in Science, Engineering and Robotics Technology, 2019
14. Reviewer on International Journal of Computers and Applications, 2019.
15. Sub-reviewer on 2nd International Conference on Innovation in Engineering and Technology 2019
16. Sub-reviewer on 2nd International Conference on Cyber Security and Computer Science, 2020
17. Technical Program Committee at International Workshop on Computer Vision and Intelligent Systems-20

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. “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.
2. “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.
   “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)
3. “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)
4. “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)
   “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)
5. “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)
   “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. (Accepted)
6. “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)
7. “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)
8. “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)
9. “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)
10. “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)
11. “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)
12. CNN-Based Handwriting Analysis For The Prediction Of Autism Spectrum Disorder”, Nafisa Nawer, Mohammad Zavid Parvez, Prabal Datta Barua, Mia Rahim and Subrata Chakraborty and Muhammad Iqbal Hossain in Second International Conference on Innovations in Computing Research (ICR’23), Lecture Notes in Networks and Systems, vol 721. Springer. (Link)
13. "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)
14. “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).
15. “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)
16. “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)
17. “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)
18. “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)
19. “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. (Presented)
20. “A Machine Learning and Deep Learning Approach to Classify Mental Illness with the Collaboration of Natural Language Processing'', Khan, M.R., Sakib, S., Habib, A.B., Hossain, M.I. ,  1st International Conference on Information and Communication Technology for Development (ICICTD), Data-driven and Industrial Computing book series, Springer, Singapore, 2022. (Link)
21. “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)
22. “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)
23. “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)
24. “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)
25. “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)
26. “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)
27. “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, Singapor.. (Link)
28. “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).
29. “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)
30. “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)
31. “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)
32. “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)
33. “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)
34. "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)
35. “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)
36. “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)
37. “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)
38. “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)
39. “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)
40. “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.
41. “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)
42. “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.
43. “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.
44. "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)
45. "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.
46. "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.
47. "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.
48. "Integration Testing Approach using usage patterns of global variables", Muhammad Iqbal Hossain, Youngsul Shin, Woo Jin Lee, The 37th KIPS Spring Conference, April 2012.
49. "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.
50. "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.

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