Durjoy Mistry | Federated Learning | Best Researcher Award

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Mr. Durjoy Mistry ,Federated Learning
, Best Researcher Award

Durjoy Mistry at Department of CSE, University of Asia Pacific, Bangladesh

Professional Profile:

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Summary:

Mr. Durjoy Mistry is an accomplished educator, researcher, and digital creator with a profound passion for leveraging technology and education to drive innovation. With expertise in federated machine learning, object-oriented programming, and problem-solving, Durjoy excels in delivering remarkable value to organizations. With strong communication skills and a creative flair, Durjoy brings a unique blend of technical prowess and creative vision to any project.

👩‍🎓Education:

Mr. Durjoy Mistry graduated with a Bachelor of Science in Computer Science and Engineering from the University of Asia Pacific, where he consistently demonstrated academic excellence and a passion for learning. During his time at the university from Fall 2017 to Spring 2020, Durjoy engaged in a diverse range of coursework, honing his skills in areas such as object-oriented programming, data analysis, and full-stack web development. His academic journey provided him with a solid foundation in computer science principles and equipped him with the knowledge and expertise necessary to excel in his professional endeavors.

Professional Experience:

  • Educator & Researcher
    • Leveraging expertise in federated machine learning, natural language processing, and computer vision to drive impactful research initiatives.
  • Digital Creator
    • Proficient in full-stack web development, creative design, and online marketing, with a keen eye for creating visually appealing content.
  • Video Editor & Host
    • Experienced in video editing, cinematography, hosting shows, and producing video documentaries, with a talent for scripting and voiceover work.

Research Interest :

  • Data Science: Specializing in federated learning, natural language processing, and computer vision.
  • Object-Oriented Programming: Proficient in Python and Java, with expertise in designing efficient algorithms and implementing solutions.
  • Creative Design: Skilled in creating visually appealing designs for web, presentations, and logos, with a focus on user experience principles.
  • Communication & Presentation: Excellent verbal and written communication skills in English, enabling effective collaboration and documentation.

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Martin Skitmore | Project management | Best Researcher Award

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Prof. Martin Skitmore ,Project management
, Best Researcher Award

professor at Martin Skitmore at Bond University, Australia

Professional Profile:

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Summary:

Dr. Martin Skitmore is a highly distinguished academic with extensive experience in construction management, project management, and quantity surveying. He holds dual nationality, British and Australian, and has served in various academic and research roles across prestigious universities. His career spans several decades, with significant contributions to both the theoretical and practical aspects of construction and project management.

👩‍🎓Education:

Dr. Martin Skitmore holds advanced degrees in construction management and quantity surveying, highlighting his strong academic foundation. He earned his Master of Science (MSc) and Doctor of Philosophy (PhD) degrees, contributing significantly to his field through rigorous research and scholarship. His education laid the groundwork for a distinguished career in academia and industry, where he has made substantial contributions to construction economics, project management, and procurement.

Professional Experience:

Dr. Martin Skitmore’s professional experience spans over four decades and includes significant academic and industry roles. Currently, he is a University Professorial Research Fellow at Bond University, a position he has held since 2021. Prior to this, he was a Professor at Queensland University of Technology (QUT) from 1995 to 2020, where he also served as Discipline Leader, Head of School, and Adjunct Professor. His tenure at QUT was marked by leadership in construction management education and research. From 1978 to 1995, Dr. Skitmore was with the University of Salford, advancing from Lecturer to Professor. He also served as a Senior Lecturer at Blackpool College of Technology & Art from 1975 to 1978. Before entering academia, he gained practical experience as a Quantity Surveyor, providing him with a robust foundation in the industry.

Research Interest :

Dr. Martin Skitmore’s research interests are diverse and deeply rooted in the field of construction management. He focuses on construction project management, exploring methods to improve project delivery and efficiency. His work in quantity surveying addresses cost estimation and financial management within construction projects. Additionally, Dr. Skitmore is interested in building economics, examining the economic aspects of construction and their impact on industry practices. His research in construction procurement investigates optimal procurement strategies and their influence on project success. Throughout his career, Dr. Skitmore has consistently contributed to understanding the determinants of project success, providing valuable insights into factors that enhance construction project outcomes.

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Rafid Mostafiz | Medical data analysis | Best Researcher Award

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Mr. Rafid Mostafiz,Medical data analysis
, Best Researcher Award

Rafid Mostafiz at Noakhali Science and Technology University Bangladesh

Professional Profile:

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Summary:

Mr. Rafid Mostafiz is a dedicated lecturer at the Institute of Information Technology, Noakhali Science and Technology University. His academic journey is marked by a strong foundation in computer science and engineering, focusing on deep learning, machine learning, computer vision, and data science. With a robust background in both teaching and research, he has contributed significantly to the fields of digital image processing, artificial intelligence, and distributed computing.

👩‍🎓Education:

  • Master of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 24, 2018 – September 28, 2020
    • CGPA: 3.88/4.00
    • Thesis: “Automatic Lesions Detection in Liver Ultrasound using Super Resolution and Deep Feature Fusion”
  • Bachelor of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 29, 2012 – July 30, 2017
    • CGPA: 3.58/4.00
    • Thesis: “Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation”

Professional Experience:

Mr. Rafid Mostafiz has built a robust career in academia, blending teaching and research with a focus on cutting-edge technologies. Currently, he serves as a Lecturer at the Institute of Information Technology, Noakhali Science and Technology University, where he has been since January 2022. In this role, he teaches courses such as Theory of Computation, Web Technology, Computer Architecture, and Distributed Computing, while also engaging in research on data science, machine learning, information theory, and security.

Prior to his current position, Rafid was an Assistant Professor at the Department of Computer Science & Engineering at Dhaka International University from January 2021 to January 2022. There, he taught Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, and Artificial Intelligence. His research during this period focused on artificial intelligence, computer and robotics vision, neural networks and machine learning, Internet of Things, and blockchain technologies.

Research Interest :

Mr. Rafid Mostafiz’s research interests lie at the intersection of advanced computational techniques and real-world applications. He is deeply engaged in the fields of deep learning and machine learning, where he explores the development of intelligent systems capable of performing complex tasks. His work in computer vision focuses on enhancing image and video analysis through innovative algorithms and models. Rafid is also passionate about data science, utilizing statistical methods and computational tools to extract meaningful insights from large datasets. His research extends to the application of these technologies in biomedical imaging, where he aims to improve diagnostic accuracy and patient outcomes through advanced image processing techniques.

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