Visiting student, NUS University, Singapore📖
Masoumeh Jafari is a Ph.D. candidate in Software Engineering at Yazd University, currently advancing her research as a visiting scholar at the National University of Singapore. With a strong academic foundation and over a decade of experience, she has developed expertise in blockchain, cyber security, and artificial intelligence, focusing on practical applications for secure data exchange and decentralized systems. Masoumeh’s work includes contributions to peer-reviewed journals, conference presentations, and collaborations on cutting-edge projects in incident response and threat prevention. Recognized for her innovative approach and commitment to interdisciplinary research, she is both an accomplished academic and a dedicated educator in the fields of software engineering and information technology.
Google Scholar Profile
Education Background🎓
Masoumeh Jafari is a dedicated scholar currently pursuing her Ph.D. in Software Engineering at Yazd University, Iran, where she ranked 41st in the national entrance exam. Her research excellence has led her to a prestigious one-year visiting scholar position at the National University of Singapore (NUS), beginning in July 2024. She holds a Master’s degree in Software Engineering from Payame Noor University in Tehran, completed in 2014, and a Bachelor’s degree in Computer Science from Shahid Bahonar University of Kerman, where she graduated in the top 10% of her class. Her solid academic foundation in computer science and engineering has set the stage for her ongoing contributions to advanced research in blockchain, cybersecurity, and AI.
Professional Experience🌱
Masoumeh Jafari is an experienced researcher and lecturer in software engineering, actively involved in research and project development related to blockchain, cyber security, machine learning, and IoT. Since 2020, she has served as a research assistant to Dr. Adibnia at Yazd University and collaborated with the Academic and Policy Affairs (APA) Department at Yazd University on initiatives like incident response and threat prevention. Additionally, she has served as a reviewer for prestigious journals, including Information Fusion, Information Sciences, and Soft Computing. She has also judged conference submissions across diverse areas such as IoT, sustainable development, and computer science applications.
Masoumeh’s career spans over 14 years in academia and industry, including roles in game design, blockchain-based projects, and robotics education. Her technical skills encompass languages like Python, Solidity, and C++, with expertise in simulation tools (NS2, CloudSim), big data platforms (Hadoop, Spark), and blockchain environments (Ethereum, Remix).
Research Focus🔬
Masoumeh’s research interests lie in the fields of blockchain technology, cybersecurity, artificial intelligence (AI), and Internet of Things (IoT). She is particularly focused on the practical applications of blockchain in security, healthcare, and smart contracts, exploring new frameworks and solutions for secure, decentralized networks. Her recent projects include blockchain for secure data sharing in IoT systems and deep learning for data analytics.
Author MetricsÂ
Masoumeh Jafari has published extensively, contributing papers in reputable journals such as IEEE and regularly participating as a peer reviewer for scientific publications. Her works cover a wide range of topics, from cybersecurity frameworks and blockchain advancements to machine learning applications in data mining. Her active engagement in interdisciplinary research has earned her recognition within the academic community, establishing her as a forward-thinking scholar and a contributor to software engineering and information systems.
Selected Certifications and Recognitions
- Blockchain & Smart Contract Development – Academy of CoinIran
- Malware Analysis – Maher Center, Iran Information Technology Organization
- Machine Learning and Image Processing (Python) – Yazd University
- Multiple Academic Awards (Top 3 rankings, Yazd University, 2021-2024)
Publications Top Notes 📄
- Internet of Things in Eye Diseases: Introducing a New Smart Eyeglasses Designed for Probable Dangerous Pressure Changes in Human Eyes
Authors: G. Prouski, M. Jafari, H. Zarrabi
Conference: IEEE International Conference on Computer and Applications (ICCA)
Year: 2017
Pages: 364-368
Summary: This paper explores the development of innovative smart eyeglasses embedded with IoT sensors to monitor intraocular pressure, aiming to detect and alert users to potentially dangerous pressure fluctuations that could lead to eye diseases such as glaucoma. This solution provides a real-time monitoring system to support early intervention and reduce risks associated with eye pressure changes.
Citations: 13
- Considerations to Spoken Language Recognition for Text-to-Speech Applications
Authors: M.S. Rafieee, S. Jafari, H.S. Ahmadi, M. Jafari
Conference: 2011 UKSim 13th International Conference on Computer Modelling and Simulation
Year: 2011
Summary: This paper discusses the challenges and considerations in spoken language recognition systems used in text-to-speech applications. It evaluates the factors influencing accuracy and proposes methodologies for improving the reliability of language recognition in automated systems.
Citations: 13
- Internet of Things in Eye Diseases Using Smart Glasses
Author: M. Jafari
Journal: International Journal of Engineering Education (IJEE)
Year: 2017
Pages: 1034-1042
Summary: Building on IoT applications in healthcare, this paper presents the design and functionality of smart glasses aimed at diagnosing and managing eye diseases. The paper elaborates on sensor technology, data transmission, and potential benefits for patients with chronic eye conditions, contributing to personalized medical solutions and preventive care.
Citations: 2
- A Novel Method for Extracting Blood Vessels in Digital Retinal Images
Author: M. Jafari
Journal: Soft Computing Journal
Volume: 10, Issue 1
Year: 2021
Pages: 110-121
Summary: This paper introduces a new algorithm for extracting blood vessels in retinal images, which is a crucial step for diagnosing various eye diseases. Utilizing soft computing techniques, the method enhances image segmentation and detection accuracy in digital retinal imaging, improving diagnosis and facilitating automated eye health monitoring.
Citations: 1 (recently cited)
- Isolation of Vessels in Retinal Color Images
Author: M. Jafari
Journal: Soft Computing Journal
Year: 2022
Summary: This publication presents advanced techniques for isolating blood vessels in retinal color images, essential for retinal disease detection and analysis. The study leverages soft computing and image processing methods to improve the clarity and precision of vessel isolation in complex retinal imaging scenarios.
Conclusion
Masoumeh Jafari demonstrates an exceptional blend of technical expertise, interdisciplinary research acumen, and a commitment to impactful solutions in cybersecurity and IoT applications. Her research is highly innovative, grounded in solid technical skills, and driven by a commitment to advancing secure, decentralized systems and healthcare technology. Recognizing her achievements with the Research for Best Researcher Award would honor not only her scholarly contributions but also her vision for transformative technology in both digital and healthcare domains. Further development in cross-disciplinary applications and communication could enhance her impact, making her an even stronger candidate for future awards. Overall, her work aligns exceptionally well with the values of the Research for Best Researcher Award, marking her as a deserving candidate.