Completed my Masters of Science (MSc) in Computer Science from University of Ulster, Belfast, Northern Ireland in January, 2023. Before, I have completed my Higher Secondary Certificate (HSC) from Notre Dame College, Dhaka in 2013 and then started my undergraduate in Computer Information Systems at American International University-Bangladesh (AIUB) back in 2014. Since then, I fell in love with algorithms, programming languages and lastly Artificial Intelligence at all its diversities. During my undergradate, I have taken part in various national and international events organized all around the country; One of the achievements include 2nd Runner's Up position in National Hackathon 2016 organized by ICT Ministry of Bangladesh. After finishing my undergraduate, I joined Notre Dame College, Dhaka as a lecturer in the ICT department. Besides my job, I finished my Masters in Computer Science (MSc CS) at AIUB specializing in intelligent systems in 2019. I was awarded "Summa Cum Laude" for h
EDUCATION
Masters of Science in Computer Science, University of Ulster, Belfast, Northern Ireland (September 2021-January 2023)
Masters of Science in Computer Science, American International University-Bangladesh, Bangladesh (April 2018-August 2019)
Bachelor of Science in Computer Information Systems, American International University-Bangladesh, Bangladesh (January 2014-December 2017)
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science
Transforming Science Education Through Generative AI Through Adaptive Learning, Ethical Practices, and Inclusive Curriculum Design Dipta Gomes, Saikat Baul, Jubayer Ahamed, Dip Nandi Harnessing Generative Artificial Intelligence for Science Education, 2026 This chapter explores the integration of GenAI into STEM education with a primary focus on Science education. It examines how GenAI can revolutionize teaching and learning by providing adaptive learning environments, personalized assessments, and real-time feedback that cater to the diverse needs of students also ensuring the ethical challenges associated with the implementation of GenAI, including concerns around bias, transparency, data privacy, and academic integrity. The chapter emphasizes the importance of balancing technological innovation with ethical practices to ensure equitable access and responsible use of GenAI tools. Looking ahead, the chapter outlines key future directions, including the refinement of adaptive learning tools and the need for AI literacy programs for educators. The chapter concludes by highlighting the potential of GenAI to transform science education while ensuring that it is used in ways that promote fairness, inclusivity, and accountability.
A Comprehensive Study on the Ethical Perspective of Integration of Agentic AI for Autonomous Vehicles Mirza Asif Mahmud, Mahfujur Rahman, Dipta Gomes, Kazi Tanvir, Md. Reazul Islam Agentic AI for Autonomous Vehicles Safety Reliability Law and Ethics, 2026 This chapter explores the ethical integration of Agentic AI into autonomous vehicles, detailing a technical architecture that embeds ethical considerations across goal setting, memory, human oversight, transparency, and robustness. It highlights how V2X connectivity transforms AVs into collaborative agents within intelligent ecosystems. The chapter also presents evaluation frameworks and metrics to measure safety, fairness, and public trust, ensuring autonomous driving aligns with societal values and legal standards.
Technological Advances in Generative and Explainable AI for Next- Generation Cyber Defense Saikat Baul, Jubayer Ahamed, Md Sajid Bin-Faisal, Md. Khairul Alam Mazumder, Dipta Gomes, et al. Rise of Explainable and Generative Aidriven Cyber and Information Security, 2026 This manuscript surveys the transformative convergence of Generative AI (GenAI) and Explainable AI (XAI) in cybersecurity, addressing computational democratization and evolving threats like polymorphic malware 2.0, LLM-chaining, deepfakes, and adversarial poisoning. Through systematic review of 2022-2025 literature, it analyzes GenAI applications in SOCs such as dynamic playbooks, LLM threat hunting, GAN synthetic data—and critiques XAI limitations (e.g., SHAP latency), proposing neuro-symbolic hybrids and federated frameworks. Hardware innovations like AI-driven Trojan detection and PUFs are evaluated alongside taxonomies for unified paradigms. Findings reveal enhanced detection accuracy and interpretability, yet gaps in real-time scalability persist. Future directions emphasize causal reasoning, adversarial robustness, and regulatory compliance for trustworthy cyber defense.
Harnessing AI for Seamless E-Collaboration in Healthcare Through Building Smarter, Connected, and PatientCentric Systems Noboranjan Dey, Mahfujur Rahman, Shaikat Das Joy, Kazi Tanvir, Rahul Biswas, et al. Strengthening E Collaboration in Healthcare Through AI, 2026 This chapter explores the transformative role of Artificial Intelligence (AI) in healthcare, focusing on its evolution from experimental technology to a key driver of digital transformation and e-collaboration. It examines how advances in machine learning, natural language processing, robotics, blockchain, and Internet of Medical Things (IoMT) have enabled AI-powered tools to enhance patient care, clinical decision-making, and operational efficiency. The chapter highlights AI's impact across telemedicine, remote diagnostics, multidisciplinary collaboration, and personalized medicine, emphasizing how AI complements human expertise by automating routine tasks and enabling real-time data sharing. It also discusses challenges related to ethics, privacy, and regulation, while outlining future trends and global efforts to standardize AI adoption in healthcare.
Vision Language Models in Healthcare Through a Multimodal Approach to Medical Imaging and Clinical Applications Kazi Tanvir, Rahul Biswas, Dipta Gomes, Mahfujur Rahman, Noboranjan Dey, et al. Vision Language Models for Next Generation Healthcare, 2026 This chapter explores the emerging role of Vision Language Models (VLMs) in healthcare, focusing on their ability to integrate visual and textual data to improve medical imaging analysis and clinical decision-making. It examines the key components of VLMs, including vision and language models, their fusion techniques, and their applications in tasks like disease detection, report generation, and visual question answering. The chapter also addresses challenges such as data scarcity, privacy concerns, and model interpretability. Additionally, it highlights future directions for enhancing model generalization, improving explainability, and ensuring seamless integration into clinical workflows, while emphasizing the importance of ethical considerations and real-world validation for safe deployment in healthcare environments.
Synthetic Healthcare Data in Generation, Validation, and Integration for Ethical and Scalable Health Innovation Shaikat Das Joy, Noboranjan Dey, Md. Reazul Islam, Mirza Asif Mahmud, Mahfujur Rahman, et al. Advances in Synthetic Healthcare Data Opportunities Challenges and Emerging Trends, 2026 Synthetic healthcare data offers a transformative solution to the privacy and accessibility constraints of real patient data. This chapter comprehensively examines its generation, from traditional statistical methods to advanced AI like GANs, VAEs, and Transformers. It explores critical applications in clinical trial simulation, medical imaging, and AI training. The analysis extends beyond technology to address pivotal barriers: ethical concerns of bias, evolving GDPR/HIPAA regulations, validation challenges, and interoperability with systems like HL7 FHIR. It concludes that responsible adoption hinges on merging technical rigor with ethical governance and cross-disciplinary collaboration to build trustworthy, innovative digital health ecosystems.
A Framework for Robust and Interpretable Yield-Risk Classification Using Country-Year-Crop Data (X- AMLF) Sk Muktadir Hossain, Sharif Eime Akhter, Ayswarjo Sarkar, Kazi Samia Mostofa, Md Sadiqur Rahman, et al. AI for Climate Governance Agriculture and Earth Systems, 2026 This study introduces the Explainable Agro-Intelligence Machine Learning Framework (X-AMLF), which is a structured evaluation framework for yield risk classification in agriculture using aggregated country-year-crop data. A harmonised dataset was created by combining data on crop yield, annual average temperature, rainfall, pesticide use, crop identity, and country indicators to create 28,242 complete observations on the yield of 101 countries (1990–2016) for 10 major crops. Multiple classification models were evaluated, such as linear baselines and tree-based ensembles, and hyperparameters were optimised with Optuna to investigate variations in prediction and error behaviour. Under random splitting, ensemble models were able to get very high scores (e.g. Random forest F1 ≈ 0.976), but under a stricter evaluation, performance dropped. With country-holdout validation, the best-performing models had F1 ≈ 0.843, attenuation of performance when tested on unseen regions.
An explainable ensemble learning framework for ovarian cancer classification using blood biomarkers K Tanvir, MS Kabir, KT Hena, TS Sintheia, SZ Shimu, D Gomes, ... Informatics and Health , 2026 2026
Navigating Stock Market Forecasting: A Comparative Study of Levenberg-Marquardt and BFGS Quasi-Newton Algorithms in Optimizing Feed-Forward Neural Networks MM Hasan, R Azad, D Gomes, S Hossain 2025 28th International Conference on Computer and Information Technology … , 2026 2026
BitterGNN: An Explainable Graph-Based Framework for Bitter Peptide Classification K Tanvir, D Gomes, M Rahman, MA Mahmud, MA Noor, MH Bhuyan 2025 28th International Conference on Computer and Information Technology … , 2026 2026
Explainable Breast Cancer Diagnosis with Vision Transformers and ACOR-Optimized Decision Trees SS Rafith, SM Rohan, MS Kabir, K Tanvir, D Gomes, M Rahman 2025 28th International Conference on Computer and Information Technology … , 2026 2026
Technological Advances in Generative and Explainable AI for Next-Generation Cyber Defense S Baul, J Ahamed, MS Bin-Faisal, MKA Mazumder, D Gomes, VS Rozario The Rise of Explainable and Generative AI-Driven Cyber and Information … , 2026 2026
Developing a Negative Fractional Counting Sort Algorithm for Fast Real Number Sorting D Sarker, D Gomes, T Dey, MM Hasan, D Nandi AIUB Journal of Science and Engineering (AJSE) 24 (1), 67 - 74 , 2026 2026
A Framework for Robust and Interpretable Yield- Risk Classification Using Country-Year- Crop Data (X-AMLF) SM Hossain, SE Akhter, A Sarkar, KS Mostofa, MS Rahman, D Gomes, ... AI for Climate Governance, Agriculture, and Earth Systems 1, 237-292 , 2026 2026
SSC-BanglaTutor: A Curriculum-Aligned Bengali Dataset for Intelligent Tutoring Systems EJ Ifti, F Ifty, M Hasan, RC Shil, UK Saha, K Tanvir, M Rahman, D Gomes Data in Brief , 2026 2026
Enhanced Java Plum Leaf Disease Classification Using ShuffleNetV2 and GSA-Tuned AdaBoost MFK Chowdhury, MS Kabir, SS Rafith, K Tanvir, F Nazera, D Gomes 2025 IEEE 2nd International Conference on Computing, Applications and … , 2026 2026
Forecasting Crime Trends in Bangladesh Through a Pre and Post 2024 Political Shift Analysis Using Machine Learning TK Sarker, DR Dip, AA Hasib, MTH Sadi, D Sarker,, MR Islam, D Gomes 2025 IEEE 2nd International Conference on Computing, Applications and … , 2026 2026
FRF-HHO: Early ovarian cancer prediction using explainable fuzzy random forest optimized by Harris Hawks algorithm KMY Arafat, A Hossain, M Ifkat, MA Amin, K Tanvir, D Gomes, M Rahman Advances in Biomarker Sciences and Technology , 2026 2026
Transforming Science Education Through Generative AI Through Adaptive Learning, Ethical Practices, and Inclusive Curriculum Design D Gomes, S Baul, J Ahamed, D Nandi Harnessing Generative Artificial Intelligence for Science Education 1, 163-206 , 2026 2026
Automated Classification of Husk Species Using DenseNet121 and Vision D Gomes, K Tanvir, MS Kabir¹ Data Science, AI and Applications: First International Conference, ICDSAIA … , 2026 2026
Securing the Future: Enhancing Cybersecurity and Resilience in Digital and Software Supply Chains MO Patwary, R Jarin, A Biswas, MMT Partho, D Gomes, MR Islam AI-Driven Cybersecurity Systems, Applications, and Resilient Infrastructure … , 2026 2026
A Comprehensive Study on the Ethical Perspective of Integration of Agentic AI for Autonomous Vehicles MA Mahmud, M Rahman, D Gomes, K Tanvir, MR Islam Agentic AI for Autonomous Vehicles: Safety, Reliability, Law, and Ethics … , 2026 2026
Vision Language Models in Healthcare Through a Multimodal Approach to Medical Imaging and Clinical Applications K Tanvir, R Biswas, D Gomes, M Rahman, N Dey, MR Islam Vision Language Models for Next-Generation Healthcare, 259-292 , 2026 2026
Harnessing AI for Seamless E-Collaboration in Healthcare Through Building Smarter, Connected, and Patient-Centric Systems N Dey, M Rahman, SD Joy, K Tanvir, R Biswas, D Gomes Strengthening E-Collaboration in Healthcare Through AI, 1-48 , 2026 2026
Synthetic Healthcare Data in Generation, Validation, and Integration for Ethical and Scalable Health Innovation SD Joy, N Dey, MR Islam, MA Mahmud, M Rahman, K Tanvir, D Gomes Advances in Synthetic Healthcare Data: Opportunities, Challenges, and … , 2026 2026
Securing Patient Privacy and Data Protection by Federated Learning in AI-Driven Healthcare D Sarker, MTH Sadi, D Gomes, MM Hasan Enabling Collaborative Health Intelligence With Federated Learning 1, 317-352 , 2026 2026
IoMT Architecture for Healthcare: Integration, Security, and Real-Time Decision Support MR Islam, MAA Mahmud, K Tanvir, SD Joy, M Rahman, N Dey, D Gomes Robotics and IoT Synergy in Next-Generation Healthcare, 305-340 , 2026 2026 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
A Comprehensive Study of Advancements in Intelligent Tutoring Systems through Artificial Intelligent Education Platforms D Gomes Improving Student Assessment With Emerging AI Tools , 2024 2024 Citations: 42
Robust Underwater Object Detection with Autonomous Underwater Vehicle: A Comprehensive Study D Gomes, AFMS Saif, D Nandi ICCA 2020: Proceedings of the International Conference on Computing … , 2020 2020 Citations: 30
Robust Underwater fish detection using an enhanced convolutional neural network D Gomes, AFMS Saif International Journal of Image, Graphics and Signal Processing 11 (3), 44 , 2021 2021 Citations: 10
Banking Queue Waiting Time Prediction based on predicted service time using Support Vector Regression D Gomes, RH Nabil, K Nur 2020 International Conference on Computation, Automation and Knowledge … , 2020 2020 Citations: 8
Classification of Food Objects Using Deep Convolutional Neural Network Using Transfer Learning D Gomes International Journal of Education and Management Engineering (IJEME) 14 (2 … , 2024 2024 Citations: 7
Discovering rules for nursery students using apriori algorithm M Marufuzzaman, D Gomes, AAA Rupai, LM Sidek Bulletin of Electrical Engineering and Informatics 9 (1), 298-303 , 2020 2020 Citations: 5
Enhancing Watermelon Diseases Detection using Dense-EfficientNet and Explainable AI J Islam, MS Kabir, KMT Kabir, TS Sintheia, K Tanvir, D Gomes 2024 27th International Conference on Computer and Information Technology … , 2025 2025 Citations: 4
A Comprehensive Study of Real-Time Vacant Parking Space Detection Towards the need of a Robust Model R Mahmud, AFMS Saif, D Gomes AIUB Journal of Science and Engineering (AJSE) 19 (3), 99-106 , 2020 2020 Citations: 4
A Lightweight Hybrid CNN Model for Classication of Arsenic-Induced Skin Lesions TS Sintheia, MS Kabir, K Tanvir, D Gomes, AI Jony, KT Hena Research Square , 2025 2025 Citations: 3
Enhancing Bangla Local Speech-to-Text Conversion Using Fine-Tuning Wav2vec 2.0 with OpenSLR and Self-Compiled Datasets Through Transfer Learning SM Hossain, R Rihan, A Imtiaz, PK Boni, D Gomes 7th IEOM Bangladesh International Conference on Industrial Engineering and … , 2025 2025 Citations: 3
Innovative Approaches to Tomato Leaf Disease Detection Bridging Tradition and Technology A Imtiaz, SM Hossain, MR Rihan, D Gomes Intelligent Internet of Everything for Automated and Sustainable Farming , 2025 2025 Citations: 2
An Explainable Machine Learning Framework for Obesity Classification with Optimized Support Vector Machines K Tanvir, MS Kabir, TS Sintheia, KT Hena, D Gomes SSRN , 2025 2025 Citations: 2
IoMT Architecture for Healthcare: Integration, Security, and Real-Time Decision Support MR Islam, MAA Mahmud, K Tanvir, SD Joy, M Rahman, N Dey, D Gomes Robotics and IoT Synergy in Next-Generation Healthcare, 305-340 , 2026 2026 Citations: 1
Hybrid Vision Transformer Naive Bayes Model for Mosquito Species Recognition with Virus Colony Search Optimization F Nazera, K Tanvir, MS Kabir, MDS Hasan, KT Hena, D Gomes 2025 International Conference on Quantum Photonics, Artificial Intelligence … , 2025 2025 Citations: 1
Enhancing capabilities and security features of Drone Networks through Machine Learning: A Comprehensive Overview D Gomes, MM Hasan, SR Philip Machine Learning for Drone-Enabled IoT Networks: Opportunities, Developments … , 2025 2025 Citations: 1
Weathering the Forecast: Using Data Mining Techniques to Investigate Temperature Effect on Ice Cream Sales A Bushra, M Hasan, D Gomes IEOM Society International, USA , 2025 2025 Citations: 1
A Hybrid Optimization and Tree-Based Learning Framework for Dengue Diagnosis Using Hematological Data K Tanvir, M Rahman, D Gomes Available at SSRN 5687196 , 2025 2025 Citations: 1
Fair Use Policies of Digital Contents: Some Observations and Recommendations DMM Hasan, MS Alam, S Hossain, D Gomes Proceedings of the 3rd International Conference on Computing Advancements … , 2024 2024 Citations: 1
An Efficient Integrated Negative Fractional Counting Sort Algorithm D Sarker, D Gomes, S Hossain, MM Hasan IEEE CONFERENCE ON COMPUTING APPLICATIONS AND SYSTEMS (COMPAS 2024) , 2024 2024 Citations: 1
An explainable ensemble learning framework for ovarian cancer classification using blood biomarkers K Tanvir, MS Kabir, KT Hena, TS Sintheia, SZ Shimu, D Gomes, ... Informatics and Health , 2026 2026
GRANT DETAILS
Summa Cum Laude, Masters of Science in Computer Science, Highest Academic Honors for achieving a CGPA of more than 3.95. American International University-Bangladesh (AIUB)
Dean's List Honors for achieving a CGPA of more than 3.90 in my undergraduate.
Daily Star Award for achieving more than 6 A's in GCSE O Levels-2013
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
2nd Runners Up at National Hackathon 2016. Link
Taking part as a Galactic Solver at National Space Apps Challenge, 29-30 April 2017. Link