Mr. Abdullah Al Mamun | Deep Learning | Young Scientist Award

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Mr. Abdullah Al Mamun | Deep Learning | Young Scientist Award

Lecturer, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

Abdullah Al Mamun is a passionate researcher and academic professional specializing in Internet of Things (IoT), Machine Learning 🤖, and Explainable Artificial Intelligence (XAI). Currently pursuing his Master of Science in Engineering at Dhaka University of Engineering & Technology (DUET), Gazipur, he brings a vibrant combination of theoretical knowledge and hands-on research experience. His dynamic involvement in projects across sustainability, computer vision 🧠, and intelligent systems has positioned him as a promising contributor to the technology and research domain.

Publication Profile

ORCID

🎓 Education Background

Abdullah Al Mamun is presently pursuing his M.Sc. in Computer Science and Engineering at DUET, Gazipur (since October 2024), where he has already completed his Bachelor of Science in Computer Science and Engineering with distinction in 2024 🎓. His consistent academic journey showcases his dedication to computing, innovation, and advanced research.

💼 Professional Experience

Mamun is currently working as a Lecturer at the Department of CSE, Model Institute of Science and Technology, Gazipur, while also serving as a part-time Research Assistant in the Multimedia Signal & Image Processing research group at Woosong University, South Korea 🌏. With three years of tutoring experience at ACME DUET Admission Coaching Center, and two internships in web development and CMS technologies, he has gained broad teaching, mentoring, and development experience across various platforms 🖥️. His administrative roles in DUET Career & Research Club and DUET Computer Society also underscore his leadership and community contributions.

🏆 Awards and Honors

Abdullah has been recognized for his academic and problem-solving excellence. He earned the “Second Runner-Up” at BEYOND THE METRICS-2023 hosted by IUT (OIC), and “Runner-Up” at the Intra DUET Programming Contest (IDPC) 2022 🏅. He has actively participated in events like NASA Space App Challenge 2024 and DUET TECH FEST-2023, reflecting his engagement in competitive and innovation-driven activities 🚀.

🔬 Research Focus

Abdullah’s core research interests lie in IoT and sustainability, Machine Learning, Computer Vision, Explainable AI, and Reinforcement Learning 🧠📡. He has been instrumental in implementing real-world projects such as IoT-based energy monitoring systems and child safety monitoring, defect detection via XAI, and skin cancer classification using optimized deep learning models. His collaborative projects with global research teams exhibit his strong contribution to the evolving field of intelligent systems and digital transformation.

✅ Conclusion

With an impressive blend of academic rigor, technical skills, and collaborative research experience, Abdullah Al Mamun is making impactful strides in the field of computer science 🧩. His work exemplifies innovation, sustainability, and intelligence in engineering systems. He continues to grow as a researcher dedicated to contributing to global scientific advancements 🌐.

📚 Top Publications 

  1. Developed an IoT-based Smart Solar Energy Monitoring System for Environmental Sustainability – 3rd International Conference on Advancement in Electrical and Electronic Engineering, 2024.
    Cited by: 7 articles 📑

  2. Developing an IoT-based Child Safety and Monitoring System: An Efficient Approach – IEEE 26th International Conference on Computer and Information Technology (ICCIT), 2023.
    Cited by: 13 articles 🔐

  3. Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques – IEEE Journal, 2024.
    Cited by: 15 articles ⚙️

  4. IoT-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8 – MDPI Sensors Journal, 2023.
    Cited by: 10 articles 🚗

  5. Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN – 2nd NCIM Conference, Bangladesh, 2024.
    Cited by: 5 articles 🧬

  6. Enhancing DBSCAN Dynamically: A Novel Approach to Parameter Initialization and Outlier Reduction – Bachelor Thesis, DUET, 2024.
    Cited by: 3 articles 🔍

 

Yuzhu Cai | Large language Model | Best Researcher Award

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Dr. Yuzhu Cai | Large language Model | Best Researcher Award

Ph.D, Beihang University, China

Yuzhu Cai is a dedicated researcher and innovator in software engineering and information security, currently pursuing a Ph.D. at Beihang University, China. With a strong foundation in cryptography, AI-driven educational platforms, and password security, he has actively contributed to cutting-edge research and technology development. His entrepreneurial mindset is reflected in his co-founding of Han Hai Xing Tu Technology Co., Ltd., where he focuses on AI-based educational planning. His work has earned numerous national awards, recognizing his excellence in algorithm design, mathematical modeling, and cybersecurity innovations.

Publication Profile

Google Scholar

🎓 Education

Yuzhu Cai is currently a Ph.D. student in Software Engineering at Beihang University (2024 – Present). He holds a Bachelor of Science degree in Information Security from Nankai University (2020 – 2024) and pursued a Minor in Mathematics (2021 – 2023) at the same institution. His academic journey reflects a deep commitment to cybersecurity, cryptography, and artificial intelligence.

💼 Experience

Yuzhu has actively contributed to research and development through multiple high-impact projects. He worked on implementing large language models (LLMs) for script generation and ASR correction, releasing fine-tuned models trained on Chinese corpora. His research on password distribution analyzed security models and their economic impact, providing insights for future cryptographic advancements. Additionally, he developed HoneyCloud, a secure multi-cloud password manager leveraging threshold secret-sharing algorithms, which won prestigious cryptography awards. His entrepreneurial endeavors include the co-founding of Han Hai Xing Tu Technology Co., Ltd., an AI-driven educational planning platform.

🏆 Awards and Honors

Yuzhu Cai has received multiple national-level awards, showcasing his expertise in cybersecurity, cryptography, and algorithm design. His accolades include First Prize in the National Information Works Competition (Most Innovative and Entrepreneurial Value Award), First Prize in the National Cryptography Technology Competition, and First Prize in the Mathematical Modeling Competition (Tianjin Area). He also secured a Bronze Medal in the National Algorithm Design Challenge and received scholarships recognizing his innovation and academic excellence at Nankai University.

🔬 Research Focus

Yuzhu’s research primarily revolves around cybersecurity, cryptography, and artificial intelligence applications in software engineering. His work includes securing password distribution models, enhancing the security of cloud-based password managers, and exploring AI-driven educational platforms. His projects demonstrate a strong focus on improving security frameworks, understanding password economics, and applying LLMs to vertical fields. His contributions have implications for both theoretical advancements and real-world applications in cybersecurity and AI.

📚 Publications

Ethical-lens: Curbing malicious usages of open-source text-to-image models

Self-evolving multi-agent collaboration networks for software development

🔚 Conclusion

Yuzhu Cai is a forward-thinking researcher and entrepreneur whose contributions to cybersecurity, AI, and cryptography have earned national recognition. His innovative projects and publications showcase a deep understanding of security frameworks, AI applications, and cryptographic advancements. Through his Ph.D. research and entrepreneurial ventures, he continues to drive technological progress in software security and AI-driven solutions. 🚀

Sara Tehsin | Deep learning | Best Researcher Award

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Ms. Sara Tehsin | Deep learning | Best Researcher Award

PhD Student, National University of Sciences and Technology, Islamabad, Pakistan

Sara Tehsin is a motivated and results-driven professional with over ten years of experience in Image Processing and Machine Learning. As an Engineering Lecturer at HITEC University in Taxila, Pakistan, she excels in delivering high-quality educational experiences and has a proven track record of producing outstanding results through her strong work ethic, adaptability, and effective communication skills. She is passionate about academic development and seeks opportunities to contribute her expertise while furthering her professional growth. 📚💻

Publication Profile

Google Scholar

Education

Sara Tehsin is currently pursuing a PhD in Computer Engineering at the National University of Sciences and Technology (NUST), Islamabad, where she has achieved a remarkable GPA of 3.83/4.00. Her research focuses on Digital Forensics, Deep Learning, and Digital Image Processing. She holds a Master’s degree in Computer Engineering from NUST, where she graduated with a GPA of 3.7/4.0, and a Bachelor’s degree from The Islamia University of Bahawalpur, with a GPA of 3.36/4.00. 🎓🌟

Experience

Sara has extensive teaching experience, currently serving as an Engineering Lecturer at HITEC University since September 2019, where she develops engaging curriculum and delivers lectures aligned with international standards. Previously, she was a Computer Science Lecturer at Sharif College of Engineering and Technology, and she also served as a Teaching Assistant at NUST and a Lab Engineer at Foundation University. Her roles have encompassed curriculum development, practical instruction, and student support in various computer science subjects. 👩‍🏫🔧

Research Interests

Sara’s research interests encompass Digital Forensics, Deep Learning, Digital Image Processing, and Machine Learning. She focuses on developing innovative solutions for image recognition and forgery detection, contributing significantly to the fields of computer vision and machine learning. Her work aims to enhance the accuracy and efficiency of image processing systems. 🧠🔍

Publications

Self-organizing hierarchical particle swarm optimization of correlation filters for object recognition
S. Tehsin, S. Rehman, M.O.B. Saeed, F. Riaz, A. Hassan, M. Abbas, R. Young, …
IEEE Access, 5, 24495-24502 (2017)
Cited by: 21

Improved maximum average correlation height filter with adaptive log base selection for object recognition
S. Tehsin, S. Rehman, A.B. Awan, Q. Chaudry, M. Abbas, R. Young, A. Asif
Optical Pattern Recognition XXVII, 9845, 29-41 (2016)
Cited by: 18

Fully invariant wavelet enhanced minimum average correlation energy filter for object recognition in cluttered and occluded environments
S. Tehsin, S. Rehman, F. Riaz, O. Saeed, A. Hassan, M. Khan, M.S. Alam
Pattern Recognition and Tracking XXVIII, 10203, 28-39 (2017)
Cited by: 12

Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter
S. Tehsin, S. Rehman, A. Bilal, Q. Chaudry, O. Saeed, M. Abbas, R. Young
Pattern Recognition and Tracking XXVIII, 10203, 22-37 (2017)
Cited by: N/A