SAIKAT BAUL

@aiub.edu

Lecturer, Department of Computer Science, Faculty of Science and Technology
American International University-Bangladesh

SAIKAT BAUL


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https://researchid.co/saikatbaul
Saikat Baul is a dedicated professional with a profound passion for science and technology, driving his commitment to a career in computer science. Currently, he holds the position of Lecturer in the Department of Computer Science at American International University-Bangladesh. Before this role, he served as an Instructor in the same department, showcasing his expertise and commitment to academic excellence. In 2022, Saikat Baul successfully earned his Bachelor's degree in Computer Science and Engineering (CSE) from American International University-Bangladesh (AIUB), laying the foundation for his journey in the field. His academic journey continued as he pursued and completed his Master's in Computer Science Specialization in Software Engineering (SE) from American International University-Bangladesh (AIUB) in 2023. His research interests are diverse, focusing on Software Engineering and Computer Vision.

EDUCATION

1. MSC Computer Science [Software Engineering] -- American International University-Bangladesh -- 2023
2. BSC Computer Science and Engineering -- American International University-Bangladesh -- 2022
3. HSC Science -- Ideal College -- 2017
4. SSC Science -- Nababganj Pilot High School -- 2015

RESEARCH, TEACHING, or OTHER INTERESTS

Software, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems
7

Scopus Publications

33

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • 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.
  • 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, Victor Stany Rozario
    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.
  • Development of a Real-time Driver’s Drowsiness Detection System Using MediaPipe Face Mesh
    , Saikat Bau, Md. Ratan Rana, Nusrat Jahan Trisna, Farzana Bente Alam
    International Journal of Engineering and Manufacturing, 2025
    Recently, accidents caused by drowsy driving have emerged as a significant concern for society, often resulting in severe consequences for victims, including fatalities.Lives are the most valuable asset in the world and deserve greater safety on the road.Given the urgency, it is essential to develop an effective drowsiness detection system that can identify drowsiness in drivers and take necessary steps to alert them before any unfortunate incident occurs.Dlib and MediaPipe Face Mesh have shown promising results.However, most previous studies have relied solely on blinking patterns to detect drowsiness, while some have combined blinking with yawning patterns.The proposed research focuses on creating a straightforward drowsy driver detection system using Python, incorporating OpenCV and MediaPipe Face Mesh.The shape detector provided by MediaPipe Face Mesh assists in finding critical facial coordinates, allowing for the calculation of the driver's eye aspect ratio, mouth aspect ratio, and head tilt angle from video input.The system's performance evaluation utilizes standardized public datasets and real-time video footage.Notably, in both scenarios, the system exhibited remarkable recognition accuracy.A performance comparison was undertaken, demonstrating the proposed method's effectiveness.The proposed system has the potential to enhance travel safety and efficiency when integrated with vehicles' supplementary safety features and automation technology.
  • Blockchain technology is revolutionizing the pharmaceutical industry's drug supply chain management
    Md. Ariful Islam, Sanzida Mannan Chuity, Tofayet Sultan, Saikat Baul, Jubayer Ahamed, Dr Md Iftekharul Mobin
    Icca 2024 3rd International Conference on Computing Advancements 2024, 2025
    Counterfeit pharmaceuticals provide a serious challenge to the pharmaceutical business, resulting in large financial losses and putting patient health at risk. To address this issue, a strong system for tracking and tracing medicine delivery throughout the supply chain process is required. Because of its ability to properly handle and track the supply chain, blockchain technology has emerged as a potential solution. The installation of a unique blockchain-based pharmaceutical supply chain management system is the topic of this report. In the smart pharmaceutical business, the suggested solution uses Hyperledger Fabric, a blockchain platform, to continually monitor and trace the drug delivery process. The method improves supply chain visibility, reduces the risk of counterfeit medications, and promotes patient safety by using the transparency and security provided by blockchain technology. The study addresses the implementation of the blockchain-based medicine supply chain management module and provides test results to evaluate the system's effectiveness and usability. Pharmaceutical firms may strengthen their supply chain procedures and address the issues posed by counterfeit medications by implementing blockchain technology.
  • A comprehensive study to assist decision-makers in determining software design between four UML diagrams
    Saikat Baul, Jubayer Ahamed, Md. Ariful Islam, Md. Khairul Alam Mazumder, Tofayet Sultan, Dip Nandi
    Icca 2024 3rd International Conference on Computing Advancements 2024, 2025
    UML is a graphical language that allows software engineers and developers to design, describe, and represent software systems. While UML cannot be defined as a programming language, it provides graphical representations which help software developers in understanding various results of programs or defects. UML diagrams are essential in software engineering as they offer a standardized approach for visually expressing system design and behavior. A clear and well-defined visual representation of the code's structure and flow allows developers to effectively allocate resources, set work priorities, and improve the overall efficiency of the development process. The interdependence of these diagrams requires their consistency, as any discrepancies may result in problems during software development processes that depend on them. Establishing defined consistency criteria and recognizing, analyzing, and resolving any differences is essential. This research study investigates the enhancement of software design by strategically choosing UML (Unified Modelling Language) diagrams, with a specific focus on Class, Sequence, Use Case, and Activity diagrams. This study aims to determine the advantages and suitable uses of each diagram form to improve the clarity and effectiveness of the design process. The study evaluates the strengths of different diagrams in various settings and contexts. It offers advice to assist in selecting the most appropriate diagram depending on specific design criteria. In our study, we provide a comprehensive analysis of the UML diagram. Also, we provide a decision-making method. The decision-makers will choose a suitable diagram for their project by following the phases.
  • An Overview of Operating Systems Based on Microkernel Technology and their Essential Components
    , Md. Ratan Rana, Saikat Baul
    International Journal of Information Engineering and Electronic Business, 2024
  • A Real-time Light-weight Computer Vision Application for Driver’s Drowsiness Detection
    , Saikat Baul, Md. Ratan Rana, Farzana Bente Alam
    International Journal of Engineering and Manufacturing, 2024
    The issue of drowsiness while operating a motor vehicle is an increasingly common occurrence that has been found to contribute significantly to a substantial number of fatal accidents annually. The urgency of the current situation necessitates implementing a solution to mitigate accidents and fatalities. The present study aims to investigate a less intricate and less expensive but remarkably efficient approach for detecting drowsiness in drivers, in contrast to the existing complex systems developed for this purpose. This paper focuses on developing a simple drowsy driver detection system utilizing the Python programming language and integrating the OpenCV and Dlib models. The shape detector provided by Dlib is employed to accurately determine the spatial coordinates of the facial landmarks within the given video input. This enables the detection of drowsiness by monitoring various factors such as the aspect ratios of the eyes, mouth, and the angle of head tilt. The performance evaluation of the system under consideration is conducted through the utilization of standardized public datasets and real-time video footage. When tested with dataset image inputs, the system showed exceptional recognition accuracy. The performance comparison is done to show the efficacy of the proposed approach. Traveling can be made safer and more effective by combining the proposed system with additional safety features and automation technology in cars.

RECENT SCHOLAR PUBLICATIONS

  • 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
  • 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, 163-206 , 2026
    2026
  • BLOCKCHAIN APPLICATIONS IN BANGLADESH: INTEGRATING AI AND ML FOR ENHANCED SECURITY AND EFFICIENCY
    FB Alam, R Rana, S Baul, AKMM Rahman
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control 53 (4 … , 2025
    2025
  • BrainCL: Brain Tumor Diagnosis Using Hybrid Deep Learning and Machine Learning Techniques
    NJ Trisna, S Baul, MKA Mazumder, MA Islam, FB Alam
    8th IEOM Bangladesh International Conference on Industrial Engineering and … , 2025
    2025
  • Development of a Real-time Driver’s Drowsiness Detection System Using MediaPipe Face Mesh
    S Baul, MR Rana, NJ Trisna, FB Alam
    International Journal of Engineering and Manufacturing (IJEM) 15 (5), 46-57 , 2025
    2025
    Citations: 1
  • A comprehensive study to assist decision-makers in determining software design between four UML diagrams
    S Baul, J Ahamed, MA Islam, MKA Mazumder, T Sultan, D Nandi
    ICCA '24: Proceedings of the 3rd International Conference on Computing … , 2025
    2025
    Citations: 2
  • Blockchain technology is revolutionizing the pharmaceutical industry's drug supply chain management
    MA Islam, SM Chuity, T Sultan, S Baul, J Ahamed, DMI Mobin
    ICCA '24: Proceedings of the 3rd International Conference on Computing … , 2025
    2025
    Citations: 2
  • Advancements in Lung Cancer Detection: Harnessing Machine Learning for Early Diagnosis and Precision Medicine
    NJ Trisna, S Baul, RD Joy, KT Hasan
    7th IEOM Bangladesh International Conference on Industrial Engineering and … , 2024
    2024
    Citations: 2
  • The Effective AI Mechanisms for Breast Cancer Classification and Prediction
    J Ahamed, S Baul, MA Ali, D Nandi
    7th IEOM Bangladesh International Conference on Industrial Engineering and … , 2024
    2024
    Citations: 2
  • An Overview of Operating Systems Based on Microkernel Technology and their Essential Components
    MR Rana, S Baul
    International Journal of Information Engineering and Electronic Business … , 2024
    2024
    Citations: 3
  • A Real-time Light-weight Computer Vision Application for Driver's Drowsiness Detection
    S Baul, MR Rana, F Alam
    International Journal of Engineering and Manufacturing (IJEM) 14 (2), 23-33 , 2024
    2024
    Citations: 1
  • A survey on microkernel based operating systems and their essential key components
    MR Rana, S Baul
    2023
    Citations: 5
  • Analyzing Database Security and A Study of Ownership Protection using Watermarking Algorithm
    S Baul, MR Rana
    International Journal of Scientific Research in Computer Science … , 2022
    2022
    Citations: 1
  • Analyzing Different Software Project Management Tools and Proposing A New Project Management Tool Using Process Re-engineering On Open-source and SAAS Platforms for A …
    S Baul, MR Rana, SK Adan, N Tafannum, F Alam
    International Journal of Advances in Electronics and Computer Science … , 2022
    2022
    Citations: 14

MOST CITED SCHOLAR PUBLICATIONS

  • Analyzing Different Software Project Management Tools and Proposing A New Project Management Tool Using Process Re-engineering On Open-source and SAAS Platforms for A …
    S Baul, MR Rana, SK Adan, N Tafannum, F Alam
    International Journal of Advances in Electronics and Computer Science … , 2022
    2022
    Citations: 14
  • A survey on microkernel based operating systems and their essential key components
    MR Rana, S Baul
    2023
    Citations: 5
  • An Overview of Operating Systems Based on Microkernel Technology and their Essential Components
    MR Rana, S Baul
    International Journal of Information Engineering and Electronic Business … , 2024
    2024
    Citations: 3
  • A comprehensive study to assist decision-makers in determining software design between four UML diagrams
    S Baul, J Ahamed, MA Islam, MKA Mazumder, T Sultan, D Nandi
    ICCA '24: Proceedings of the 3rd International Conference on Computing … , 2025
    2025
    Citations: 2
  • Blockchain technology is revolutionizing the pharmaceutical industry's drug supply chain management
    MA Islam, SM Chuity, T Sultan, S Baul, J Ahamed, DMI Mobin
    ICCA '24: Proceedings of the 3rd International Conference on Computing … , 2025
    2025
    Citations: 2
  • Advancements in Lung Cancer Detection: Harnessing Machine Learning for Early Diagnosis and Precision Medicine
    NJ Trisna, S Baul, RD Joy, KT Hasan
    7th IEOM Bangladesh International Conference on Industrial Engineering and … , 2024
    2024
    Citations: 2
  • The Effective AI Mechanisms for Breast Cancer Classification and Prediction
    J Ahamed, S Baul, MA Ali, D Nandi
    7th IEOM Bangladesh International Conference on Industrial Engineering and … , 2024
    2024
    Citations: 2
  • Development of a Real-time Driver’s Drowsiness Detection System Using MediaPipe Face Mesh
    S Baul, MR Rana, NJ Trisna, FB Alam
    International Journal of Engineering and Manufacturing (IJEM) 15 (5), 46-57 , 2025
    2025
    Citations: 1
  • A Real-time Light-weight Computer Vision Application for Driver's Drowsiness Detection
    S Baul, MR Rana, F Alam
    International Journal of Engineering and Manufacturing (IJEM) 14 (2), 23-33 , 2024
    2024
    Citations: 1
  • Analyzing Database Security and A Study of Ownership Protection using Watermarking Algorithm
    S Baul, MR Rana
    International Journal of Scientific Research in Computer Science … , 2022
    2022
    Citations: 1
  • 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
  • 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, 163-206 , 2026
    2026
  • BLOCKCHAIN APPLICATIONS IN BANGLADESH: INTEGRATING AI AND ML FOR ENHANCED SECURITY AND EFFICIENCY
    FB Alam, R Rana, S Baul, AKMM Rahman
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control 53 (4 … , 2025
    2025
  • BrainCL: Brain Tumor Diagnosis Using Hybrid Deep Learning and Machine Learning Techniques
    NJ Trisna, S Baul, MKA Mazumder, MA Islam, FB Alam
    8th IEOM Bangladesh International Conference on Industrial Engineering and … , 2025
    2025