Hanip, A, Sarower, AH, Bhuiyan, T. (2024). The Transformative Role of Generative AI in Education: Challenges and Opportunities for Enhancing Student Learning and Assessment Through Mass Integration. International Journal of Advanced Research in Engineering and Technology (IJARET), 15(5), 161-175.

Joseph, S., Arar, K., Karaburk, H., & Elbedour, S. (2023). Superintendents as social justice advocates for African American female students in STEM. International Journal of Leadership in Education, 1–19.

Hossain, MA, Rahman, MZ, Bhuiyan, T., Moni MA. (2024). Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches. International Journal of Environmental Research and Public HealthClose. 2024 Oct 22;21(11):1392.

Prince, UN, Masum, A.A., Abdullah, S.M., Bhuiyan, T. (2024). Voice recognition by deep transfer learning and vision transformers to secure voice authentication. World Journal of Advanced Research and Reviews, 2024, 23(03), 1365–1377

Faruqui, N., Raju, N. V. D. S. S. V. P., Sivakumar, S., Patel, N., Vengaramkode Bhaskaran, S., Khanam, S., & Bhuiyan, T. (2025). Gen-Optimizer: A Generative AI Framework for Strategic Business Cost Optimization. Computers, 14(2), 59.

Ahmed, M., Sulaiman, M.H., Hassan, M.M. and Bhuiyan, T. (2025), Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms. IEEE Access, Vol. 13, 2025, pp. 30555-30569.

Ahmed, MS, Arman, MS, Tasnim, N, Imran, MH, Sammak, MS, Mahmud, I. (2025). Rooftops Detection with YOLOv8 from Aerial Imagery and a Brief Review on Rooftop Photovoltaic Potential Assessment. IAES International Journal of Artificial Intelligence. Vol 14, No 3, June 2025.

Tonni, S.I., Sheakh, M.A., Tahosin, M.S., Hasan, M.Z., Shuva, T.F., Bhuiyan, T., …, Moni, M.A. (2025). A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. Advanced Intelligent Systems, February 2025, 2400495.

SL Priyadharshini, MA Al Mamun, S Khandakar, NNU Prince, AH Shnain. (2024). Unlocking Cybersecurity Value through Advanced Technology and Analytics from Data to Insight. Nanotechnology Perceptions, 202-210.

MAAM Muhammad Ashraf Faheem, Nabeel Zafar, Parkash Kumar, Md Mehedi Hassan. (2024). AI and Robotics: About the Transformation of Construction Industry Automation as well as Labor Productivity. Remittances Review, 9.

RH Chowdhury, NU Prince, SM Abdullah, LA Mim. (2024). The role of predictive analytics in cybersecurity: Detecting and preventing threats. World Journal of Advanced Research and Reviews 23 (2), 1615-1623.

NU Prince, MAA Mamun, AO Olajide, OU Khan, AB Akeem, AI Sani. (2024). IEEE Standards and Deep Learning Techniques for Securing Internet of Things (IoT) Devices Against Cyber Attacks. Journal of Computational Analysis and Applications (JoCAAA).

MA Tamal, K Islam, T Bhuiyan, A Sattar, NU Prince. (2024). Unveiling Suspicious Phishing Attacks: Enhancing Detection with an Optimal Feature Vectorization Algorithm and Supervised Machine Learning. Frontiers in Computer Science, 6, 1428013.

NU Prince, MA Faheem, OU Khan, K Hossain, A Alkhayyat, A Hamdache, (2024). AI-Powered Data-Driven Cybersecurity Techniques: Boosting Threat Identification and Reaction. Nanotechnology Perceptions, 20, 332-353.

S Shrestha, N Basaula, RB Thapa, P Adhikari, NU Prince. (2024). Prescribing pattern of psychotropic drug among schizophrenia and related psychotic disorder patients. World journal of pharmacy and pharmaceutical sciences, 13 (8), 734-45.

RB Thapa, S Shrestha, NU Prince, S Karki. (2024). Knowledge of practicing drug dispensers about medication safety during pregnancy. European Journal of Biomedical, 11 (7), 428-434.

A Saleem, M Aleem, NU Prince, MMH Melon, SM Abdullah, SMW Faisal, (2024). Predicting Mobile App Success Using a Robust Hard Voting Ensemble Learning Approach. Letters in High Energy Physics

S Ali, SA Wadho, A Yichiet, NU Prince, ML Gan, CK Lee. (2024). Cutting-edge Secret Sharing Techniques for Secure Cloud Collaboration: Reducing Communication Overhead and Enhancing Resource Efficiency. Engineering Science and Technology an International Journal.

NU Prince, MAA Mamun, RBS Ahmed, WMM Asim, SKMAH Rabby, S Ali. (2024). Strengthening Enterprise Cybersecurity: A Survey on Ransomware Mitigation and Recovery Strategies. Nanotechnology Perceptions.

NU Prince, MNH Shawon, ZK Shahed, RI Nupur, FA Mele, MA Al Mamun. (2024). E-commerce clothing review analysis by advanced ML Algorithms. World Journal of Advanced Research and Reviews.

SM Abdullah, AA Masum, NU Prince, LA Mim. (2024). Deep Learning-Based Ovarian Cancer Subtype Classification Using VGG16 and MobileNetV2 with Squeeze-and-Excitation Blocks. Journal of Angiotherapy (ANGIO).

NU Prince, MR Rahman, MDS HOSSEN, MM Sakib. (2024). Deep Transfer Learning Approach to Detect Dragon Tree Disease. IEEE Access.

NU Prince, MAA Mamun, MTM Shagar, MRK Emon, MSH Sajib. (2024). Lychee Leaf Disease Detection by Vision Transformer and Computer Vision. IEEE Access

AH Hussain, MN Hasan, NU Prince, MM Islam, S Islam, SK Hasan. (2021). Enhancing Cyber Security Using Quantum Computing and Artificial Intelligence: A Review. World Journal of Advanced Research and Reviews (WJARR).

OS Tuoyo, NU Prince, MAA Mamun, AHK Hossain. (2020). The Intersection of AI And Cybersecurity: Leveraging Machine Learning Algorithms for Real-Time Detection And Mitigation Of Cyber Threats. Educational Administration: Theory and Practice, 26 (4), 974-987.

NU Prince, MAA Mamun, MMH Melon, A Hossain, Y Arafat, MA Hasan. (2020). A data-driven approach to gas demand prediction in the USA using machine learning. World Journal of Advanced Research and Reviews, 5 (Issue 2).

Bhuiyan, T, Ahamed, MA, Mamun, AA, Hassan, MM. (2025). Classifying the Educational Impact of ADHD Using Machine Learning Techniques. Nanotechnology Perceptions.

Mamun, AA, Bhuiyan, T, Sarker, A, Shahin, Hassan, MM. (2025). Breast Cancer Diagnosis Using Wisconsin Dataset: A Non-Feature Selection Approach. Nanotechnology Perceptions, Vol 20, No. 2.

Mamun, AA, Bhuiyan, T, Sarker, A, Hasan, R, Hassan, MM. (2025). Leveraging Machine Learning for Chronic Kidney Disease Prognostics. Nanotechnology Perceptions.

Rasel, SMKI, Ali, ST, Nahid, MA, Khan, MA, Jabed, MMI, Bhuiyan, T. (2024). Cross-Platform Application Testing: AI-Driven Automation Strategies. Journal of Electrical Systems, Vol. 20, No. 11s.

Saleem, S., Hussain, A., Majeed, N., Akhtar, Z. & Siddique, K. (2025). A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases. Journal of Computer Science, 21(1), 34-42.

Sattar, S., Bukhari, M., Saleem, S., Ijaz, S., Ejaz, S., Sulaiti, K. A., & Abbas, J. (2024). Untapped Potential and Country-of-Origin: Do Employee attitudes and HR Analytics Boost Career Growth with a COM-B model Application. Journal of Excellence in Management Sciences, 3(3), 216–236.

Saleem, S., Sharif, M. I., Sharif, M. I., Sajid, M. Z., & Marinello, F. (2024). Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture. Agronomy, 14(10), 2230.

Munaza Bukhari, Sattar, S., Saleem, S., Khan Zaman Khan, & ANSA KHAN. (2024). The Impact of Cybercrime Incidents and Artificial Intelligence Adoption on Organizational Performance: A Mediated Moderation Model. Journal of Excellence in Social Sciences. 3(3), 191–210.

Ferdaush, M.J., & Bhuiyan, T. (2025). Proposal of an Optimum Method of Audio Steganography to Secure Data Transfer. Journal of Infrastructure, Policy and Development. 9(1), 10020.

amun, A.A., Bhuiyan, T., Hassan, M.M. & Anik, S.I. (2025). Exploring the Best Machine Learning Models for Breast Cancer Prediction in Wisconsin. International Journal of Advanced Computer Science and Applications. 16(1), 2025.

Afjal H. Sarower; Touhid Bhuiyan; Maruf Hassan; Mohammad Shamsul Arefin; Gahangir Hossain. (2025). SMFA: Strengthening Multi-Factor Authentication with Steganography for Enhanced Security. IEEE Access, Volume 13, 2025, pp. 43593-43606.

Imran, M. H., Billah, M. T., Bhuiyan, T., Rahiman, W. (2025). Fuzzy-PID based error optimization of differential drive mobile robot base-controller. Indonesian Journal of Electrical Engineering and Computer Science. Vol. 39, No. 2, August 2025.

Hanip, A., Hossain, M.S. (2021). A Dynamic Teaching Learning Methodology Enabling Fresh Graduates Starting Career at Mid-level. In: Arabnia, H.R., Deligiannidis, L., Tinetti, F.G., Tran, QN. (eds) Advances in Software Engineering, Education, and e-Learning. Transactions on Computational Science and Computational Intelligence. Springer, Cham.

Wasim Ahmad Khan, Muhammad Ayub, Muhammad Umer Quddoos, Liaqat Ali Waseem, Muhammad Abdul Basit Ur Rahim, Muzaffar Hameed, Muhammad Adeel, Arslan Ahmad Siddiqi, Muhammad Furqan Khan. (2025). Knowledge refinement mechanism in an agency using adaptive automata and genetic algorithms. Journal of Infrastructure, Policy and Development. Vol 8, Issue 16. Article ID: 9482.

Muhammad Iftikhar, Muhammad Furqan Khan, Ahsan Ali, Muhammad Saad Faiz, Muhammad Awais, Muhammad Saleem. (2025). Exploring Rural Youth Aspirations in Agriculture and the role of information Technologies. Social Science Review Archives. Volume 3, Number 1, pp. 1298-1308.

Md. Atiqur Rahman, Touhid Bhuiyan, M. Ameer Ali. (2025). Enhancing aviation safety: Machine learning for real-time ADS-B injection detection through advanced data analysis. Alexandria Engineering Journal. Vol. 126, pp. 262-276.

Acharja, S., Hasan, M. Z., Chamok, F. H., Fahim, K. U., Shuva, T. F., Bulbul, A. A. M., ... & Moni, M. A. (2025). OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis. Cognitive Computation, 17(3), Article 101.

Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni (2025). ADeepWeeD: An adaptive deep learning framework for weed species classification, Artificial Intelligence in Agriculture, Vol 15, Issue 4, 2025, pp. 590-609.

Islam, S., Haque, M. I., Jahan, M., Hasan, M. Z., Rony, M. A. H., Fatema, K., ... & Moni, M. A. (2025). A region-of-interest embedded graph neural architecture for gallbladder cancer detection. Results in Engineering, Vol 26, 104624.

Ahmed, M., Islam, S., Herwan, Hassan, M.M. and Bhuiyan, T. (2025). MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management. IEEE Access, Volume 15, 2025.

Paul, B.K., Bhuiyan, T. (2025). Predicting Early PCOS Disorder using Ensemble Learning. Heliyon, Vol. 11, No. 12. July 2025.

Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Nayem Uddin Prince, Ming Lee Gan, Chen Kang Lee (2025). Dynamic secret sharing for enhanced cloud security: Tackling eavesdropping and threshold attacks. Egyptian Informatics Journal, Vol. 30, 2025,100660.

Aziz, MT, Sharif, MM, Farid, SM, Mahmud, T, Uglu, SVO, Arefin, Hanip, A, Hossain, MS. (2024). Enhancing Credit Card Fraud Detection: A Machine Learning Framework. 27th International Conference on Computer and Information Technology (ICCIT), 20-22 December 2024, Cox’s Bazar, Bangladesh.

Rahman, T, Mizan, MMR, Mahmud, T, Nabila, JN, Roxy, KF, Roy, S, Hanip, A, Hossain, MS. (2024). Human vs AI: Evaluating the Effectiveness of Deep Learning in AI Text Detection. 27th International Conference on Computer and Information Technology (ICCIT), 20-22 December 2024, Cox’s Bazar, Bangladesh.

Begum, M, Mahmud, T, Nessa, M, Tajrian, UN, Hanip, A, Hossain, MS. (2024). Knee Osteoarthritis Detection on X-rays: A Hybrid Approach Leveraging Deep Learning. 27th International Conference on Computer and Information Technology (ICCIT), 20-22 December 2024, Cox’s Bazar, Bangladesh.

Azad, RU, Hossain, MS, Talukdar, M, Nahar, N, Hanip, A. (2024). A Stacked Meta-Model Framework for Diabetes Prediction: From Effective Feature Engineering to Meta-Learning. 27th International Conference on Computer and Information Technology (ICCIT), 20-22 December 2024, Cox’s Bazar, Bangladesh.

Sarker, RP, Chowdhury, S, Bhuiyan, T, Mollah, MSH, Hassan, MM, Paul, BK (2024). Unveiling Shared Gene Regulatory Networks and Pathways in Bipolar Disorder and Alzheimer’s Disease: Identifying Novel Therapeutic Targets and Drug Candidates. International Conference on Biomedical Engineering, Computer and Information Technology for Health 2024 (BECITHCON 2024). 28-29 November 2024, Dhaka, Bangladesh.

Bose, U, Rooman, MH, Bhuiyan, T, Mollah, MSH, Hassan, MM, Paul, BK (2024). Leveraging Machine Learning for Early Detection and Intervention in Polycystic Ovary Syndrome (PCOS): A Predictive Model Approach. International Conference on Biomedical Engineering, Computer and Information Technology for Health 2024 (BECITHCON 2024). 28-29 November 2024, Dhaka, Bangladesh.

Chy, MKA, Masum, AKM, Alam, MS, Azad, MAK, Hassan, MM, Bhuiyan, T. (2024). Deep Learning-Based Stock Price Prediction: A Comprehensive Approach Using Bi-LSTM. 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, pp. 805-810, 12-13, December 2024, Tamil Nadu, India.

Ahmed, M, Mohamad, AJ, Hassan, MM, Bhuiyan, T. (2025). Air Pollutant (CO) Forecasting: A Hybrid Approach Using Gooseneck Barnacle Optimization and Artificial Neural Networks. 4th IEEE International Conference on AI in Cybersecurity (ICAIC). 5-7 February 2025, Houston, USA.

Siam, AA, Hassan, MM, Bhuiyan, T. (2025). Secure Medical Imaging: A DICOM to JPEG 2000 Conversion Algorithm with Integrated Encryption. 4th IEEE International Conference on AI in Cybersecurity (ICAIC). 5-7 February 2025, Houston, USA.

Siam, AA, Hassan, MM, Bhuiyan, T. (2025). Artificial Intelligence for Cybersecurity: A State of the Art. 4th IEEE International Conference on AI in Cybersecurity (ICAIC). 5-7 February 2025, Houston, USA.

Sarwar, MN, Arman, MS, Bhuiyan, T, Rafiq, FB. (2025). Optimizing Intrusion Detection with Hybrid Deep Learning Models and Data Balancing Techniques. 4th IEEE International Conference on AI in Cybersecurity (ICAIC). 5-7 February 2025, Houston, USA.

Hossain, S, Hasan, MZ, Jim, RI, …, Moni, MA. (2024). GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection. International Conference on Data Mining (ICDM), 9-12 December 2024, Abu Dhabi, UAE.

Hossain, MM, Hossain, MS, Chaki, S, Rahman, MS, Moni, MA. (2024). Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis. International Conference on Data Mining (ICDM), 9-12 December 2024, Abu Dhabi, UAE.

Veeramani, H, Thapa, S, Salman, M, Moni, MA, Naseem, U. (2024). UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning. International Conference on Data Mining (ICDM), 9-12 December 2024, Abu Dhabi, UAE.

Kazi Farhan Hasan Tanjim, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). Exploring Supervised and Semi-supervised Methods on a Bengali News Classification Dataset. International Conference on Trends in Computational and Cognitive Engineering, 26-27 December 2024, Jaipur, India.

Sultana Tasnim Jahan, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). Leveraging Supervised and Semi-Supervised Learning for Parkinson’s Disease Detection Using Speech Features. International Conference on Trends in Computational and Cognitive Engineering, 26-27 December 2024, Jaipur, India.

Taohidur Rahman, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). Digital Twin for Intelligent Context-Aware IoT Healthcare Systems. International Conference on Electrical, Computer and Communication Engineering, 13-15 February 2025, Chittagong, Bangladesh.

Taohidur Rahman, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). A Machine Learning Paradigms for Metro Interstate Traffic Volume Prediction. International Conference on Electrical, Computer and Communication Engineering, 13-15 February 2025, Chittagong, Bangladesh.

Hridoy Islam, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). An Approach to Detect Sentiment on Public Opinions towards ChatGPT. International Conference on Electrical, Computer and Communication Engineering, 13-15 February 2025, Chittagong, Bangladesh.

Radiathun Tasnia, Tanjim Mahmud, Abubokor Hanip and Mohammad Shahadat Hossain. (2025). Leveraging Semi-Supervised Learning and Generative Adversarial Networks with Transformer and Flair Embeddings for Detecting Patronizing and Condescending Language. International Conference on Electrical, Computer and Communication Engineering, 13-15 February 2025, Chittagong, Bangladesh

Shah, S. B., Shiwakoti, S., Bhuiyan, T., Moni, M. A., Thapa, S., Naseem. U. (2025). Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation. WWW Companion ’25, April 28-May 2, 2025, Sydney, NSW, Australia.

Huda, M.S.A., Shrestha, T. E., Tanvir, K., Ahmed, R., Ali, M. A. and Bhuiyan, T. (2025). ViTBiT-PoxNet: An Explainable Hybrid Deep Learning Framework for Enhanced Early-Stage Monkeypox Classification. 5th International Conference on Computing and Communication Networks. 1-3 August 2025, Manchester, UK

Kazi Tanvir, Md Sadi Al Huda, Shaiful Ajam Opee, Md. Sayem Kabir, Md. Asraf Ali, Touhid Bhuiyan. (2025). CNNRF-Ensemble: A Multifaced Approach for Predicting White Spot Syndrome Virus in Shrimp Farming. 4th International Conference on Robotics, Electrical and Signal Processing Techniques. 11-13 Jan 2025, Dhaka, Bangladesh.

Sharif, N. B., Huda, M. S. A., Shamim, M. S. P., Ghosh, A. Hassan, M. M., Ali, M. A., Bhuiyan, T. (2025). DeepDenseVit: A Hybrid Deep Learning Approach for Ovarian Cancer Classification. 27th International Conference on Computer and Information Technology, 20-22 December 2024, Cox’s Bazar, Bangladesh.

Basar, N., Mahmud, T., Hanip, A., Hossain, MS. (2025). Semi-Supervised Based Bangla Fake Review Detection: A Comparative Analysis. The 2nd International Conference on Emerging Technologies in Electronics, Computing and Communication. 23-25 April 2025, Jamshoro, Sindh, Pakistan.

Das, T. R., Mahmud, T., Hanip, A., Hossain, MS. (2025). Harmful Tweet Detection Using Supervised and Semi-supervised Learning Techniques. 2nd International Conference on Emerging Technologies in Electronics, Computing and Communication. 23-25 April 2025, Jamshoro, Sindh, Pakistan.

Akter, F. A, Manoara, Mahmud, T., Rahim, A., Hanip, A., Hossain, MS. (2025). Streamlit-Based AI for Multi-Disease Prediction. 2nd International Conference on Emerging Technologies in Electronics, Computing and Communication. 23-25 April 2025, Jamshoro, Sindh, Pakistan.

A S M Ahsanul Sarkar Akib, Abu Zahid Md Jalal Uddin, Azrin Nahar Anika, Mahadir Islam, Md. Easin Arafat, Bhuiyan, T. (2025). Efficient Route Planning and Navigation in Drones Using Pixhawk Autopilot. The 6th International Conference on Artificial Intelligence, Robotics, and Control. 7-9 May 2025, Savannah, GA, USA.

A S M Ahsanul Sarkar Akib, Abu Zahid Md Jalal Uddin, Mahadir Islam, Ahasanul Haque, Sirajum Munira, Hanip, A. (2025). Automated Recycling of Plastic Waste into 3D Printing Filament: A Sustainable Approach. The 1st International Conference of International Association of Technology and Management. 28-31 May 2025, Pittsburgh, PA, USA.

A S M Ahsanul Sarkar Akib, Abu Zahid Md Jalal Uddin, Nasir Uddin, Mahadir Islam, Md. Easin Arafat, and Touhid Bhuiyan. (2025). Internet of Things and Artificial Intelligence Powered Crop Suitability Detection System for Sustainable Farming. 10th International Congress on Information and Communication Technology-with ICT Excellence Awards. 18-21 February 2025, London, UK.

Sheikh Thanbir Alam, Md Maruf Hassan and Touhid Bhuiyan. (2025). An Enhanced Image Steganographic Algorithm Integrating 1-Bit LSB based XOR Operations in the YCbCr Color Model with Canny Edge Detection. The 8th International Conference on Information and Computer Technologies. 14-16 March, Hilo, Hawaii, USA.

Sheikh Thanbir Alam, Munira Tabassum Mou, Md Maruf Hassan and Touhid Bhuiyan. (2025). An Edge Detection with LSB and AES Encryption Based Image Steganography. The 8th International Conference on Information and Computer Technologies. 14-16 March, Hilo, Hawaii, USA.

Md Asaduzzaman, Md Maruf Hassan and Touhid Bhuiyan. (2025). Deepfake Detection for Enhanced Security in Workplace Environments Using Deep Learning Techniques. The 8th International Conference on Information and Computer Technologies. 14-16 March, Hilo, Hawaii, USA.

Ahmed, M., Bitto, A. K., Hassan, M. M., and Bhuiyan, T. (2025). Predicting Life Expectancy Using Stacking Regressor Models: Analyzing the Impact of GDP and Population Dynamics. International Conference on Electrical, Computer and Communication Engineering. 13-15 February 2025, Chittagong, Bangladesh.

Mehedi Hasan Khan Siama, Ram Prosad Sarker, Mehedi Hassan, Gazi Md. Noor Hossain, Touhid Bhuiyan, Bikash Kumar Paul. (2025). Decoding the Molecular Links Between MDD, OCD, and PTSD: Gene Network Analysis and Machine Learning-Based Drug Screening of Banxia Compounds. The 7th International Conference on Intelligent Sustainable Systems. 12-14 March 2025, Tirunelveli, India.

Sohidul Islam, Manoara Begum, Md Akash Rahman, Tanjim Mahmud, Tursunova Shaxnoza, Sindor Sapaev, Sapayev Valisher Odilbek Uglu, Abubokor Hanip, Mohammad Shahadat Hossain. (2025). Bangla Speech Emotion Recognition Using Machine Learning and Deep Learning Methods. The 8th International Conference on Inventive Computation Technologies. 23-25 April 2025, Lalitpur, Nepal.

Afjal H. Sarower, Surovi Islam, Sharmin Akhter, Narayan Ranjan Chakraborty, Shah Md Tanvir Siddiquee, Touhid Bhuiyan. (2025). Respectful Social Engagement: Facebook Hate Speech Classification for Bengali Language. The 12th International Conference on Computing for Sustainable Global Development. 2-4 April 2025, New Delhi, India.

Bhuiyan, T., Hassan, M. M., Faruqui, N., Sonet, I. H., & Siam, A. A. (2025). A robust algorithm for identifying malicious IPs enhancing cybersecurity defense. The 9th International Conference on Recent Trends in Computer Science and Engineering, 25-26 June 2025, YARSI University, Jakarta, Indonesia.

Rashid, M. A., Bhuiyan, T., & Hassan, M. M. (2025). Diabetes prediction using optimized ensemble techniques. Unpublished manuscript. The 9th International Conference on Recent Trends in Computer Science and Engineering, 25-26 June 2025, YARSI University, Jakarta, Indonesia.

Khan, A., Bhuiyan, T., & Hassan, M. M. (2025). Deep analysis of image classification architectures for detecting cancer cells from histopathological images. The 9th International Conference on Recent Trends in Computer Science and Engineering, 25-26 June 2025, YARSI University, Jakarta, Indonesia.

Bhuiyan, T., Hassan, M. M., & Siam, A. A. (2025). Artificial intelligence in nanotechnology: Methodologies & transformative impact. The 9th International Conference on Recent Trends in Computer Science and Engineering, 25-26 June 2025, YARSI University, Jakarta, Indonesia.

Khan, AS, Mahmud, T., Tabassum, S., Khan, F.T., Zubair, I., Hanip, A., Hossain, M.S., Uglu, S.V.O., Shojonov, M. (2025). Explainable Machine Learning for Detection and Alert System: A Cloud-Integrated Approach Using Smartphone Sensor. The International Conference on Data Science, Artificial Intelligence and Applications, 18-19 July 2025, Dhaka, Bangladesh.

Alam, T., Lubaba, N., Akter, T., Akter, M.S.,Aziz, M.T., Mahmud, T., Hossain, G.M.S., Khaliluzzaman, M., Nodira, N., Shokir, A., Hanip, A., Hossain, M.S. (2025). RoadNet: A Deep Learning Framework for Road Extraction from Remote Sensing Data. The International Conference on Data Science, Artificial Intelligence and Applications, 18-19 July 2025, Dhaka, Bangladesh.

Begum, M., Rifat, M.J.H., Mahmud, T., Nodira, N., Hanip, A., Hossain, M.S. (2025). Harnessing Machine Learning to Analyze Passenger Sentiments in the Bangladesh Railway System. The International Conference on Data Science, Artificial Intelligence and Applications, 18-19 July 2025, Dhaka, Bangladesh.

Khanam, S., Maliat, M., Abedeen, B., Khan, F., Tasnim, F., Chowdhury, S.J., Mahmud, T., Deb, K., Hossain, M.S., Hanip, A. (2025). Improving Missing Data Imputation with GF-WAI: An Explainable AI-Based Ensemble Method for Dengue Disease Prediction. The International Conference on Data Science, Artificial Intelligence and Applications, 18-19 July 2025, Dhaka, Bangladesh.

Shafi, T. B., Siddique, T., Tasnim, F., Chowdhury, S.J., Chowdhury, M.S.H., Mahmud, T., Deb, K., Hossain, M.S., Hanip, A. (2025). Detecting AI-Generated Text Using Machine Learning: A Comparative Study of MLP and RoBERTa-Based Models. The International Conference on Data Science, Artificial Intelligence and Applications, 18-19 July 2025, Dhaka, Bangladesh.

Imran, M. H., Bhuiyan, T., Sarker, K., Mahmud, I. (2025). Towards Affordable and Lightweight Humanoid Robots: A Task-Specific Design Approach. International Journal of Mechanical Engineering and Robotics Research. (Accepted, yet to publish)

Maruf, M.M., Bhuiyan, T., Eshita, E.J., Hossen, M.S., and Imran, M.H. (2025). An IoT-based smart home automation system: Enhancing security, energy efficiency, and remote accessibility. Multidisciplinary Science Journal.

Ahmed, T., Bhuiyan, T., Maruf, M.M., and Imran, M.H. (2025). Cyberbullying Detection Using Natural Language Processing in Bangla Language. 9th International Joint Conference on Advances in Computational Intelligence.

Hassan, M.M., Hassan, M., Kabir, M.E. and Bhuiyan, T. (2025). Time-Delay Induced Dynamics and Stability of CAV Platoons: A Numerical Framework Using Nonlinear DDEs. The 7th International Conference on Electrical, Control and Instrumentation Engineering, 22-23 November 2025, Pattaya, Thailand.

Siam, A.A., Bhuiyan, T. and Hassan, M.M. (2025). AI-Driven Secure Semantic Communication with Dynamic Encryption for Real-Time Data Integrity. The 7th International Conference on Electrical, Control and Instrumentation Engineering, 22-23 November 2025, Pattaya, Thailand.

Mohaimin, M. R., Das, B. C., Akter, R., Anonna, F. R., Hasanuzzaman, M., Chowdhury, B. R., & Alam, S. (2025). Predictive Analytics for Telecom Customer Churn: Enhancing Retention Strategies in the US Market. Journal of Computer Science and Technology Studies, 7(1), 30-45

Anonna, F. R., Mohaimin, M. R., Ahmed, A., Nayeem, M. B., Akter, R., Alam, S., Nasiruddin, M., & Hossain, M. S. (2023). Machine Learning-Based Prediction of U.S. CO2 Emissions: Developing Models for Forecasting and Sustainable Policy Formulation. Journal of Environmental and Agricultural Studies, 4(3), 85-99

Hossain, M. S., Mohaimin, M. R., Alam, S., Rahman, M. A., Islam, M. R., Anonna, F. R., & Akter, R. (2025). AI-Powered Fault Prediction and Optimization in New Energy Vehicles (NEVs) for the US Market. Journal of Computer Science and Technology Studies, 7(1), 01-16

Abdullah Al Mukaddim, MD Rashed Mohaimin, Mohammad Abir Hider, Mitu Karmakar, Md Nasiruddin, Shah Alam, & Farhana Rahman Anonna. (2024). Improving Rainfall Prediction Accuracy in the USA Using Advanced Machine Learning Techniques. Journal of Environmental and Agricultural Studies, 5(3), 23-34

Khan, Tushar; Akter, Rabeya; Hossain Mohammad Dalim; Abdullah AL Sayeed; Farhana Rahman Anonna; MD Rashed Mohaimin; Karmakar, Mitu.  Predictive Modeling of US Stock Market and Commodities: Impact of Economic Indicators and Geopolitical Events Using Machine. Journal of Economics, Finance, and Accounting Studies; London Vol. 6, Iss. 6, (2024): 17-33.

Jui, A. H., Alam, S., Nasiruddin, M., Ahmed, A., Mohaimin, M. R., Rahman, M. K., Anonna, F. R., & Akter, R. (2023). Understanding Negative Equity Trends in U.S. Housing Markets: A Machine Learning Approach to Predictive Analysis. Journal of Economics, Finance and Accounting Studies , 5(6), 99-120.

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