Masoumeh Jafari | Network Security | Best Researcher Award

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Ms. Masoumeh Jafari | Network Security | Best Researcher Award

Visiting student, NUS University, Singapoređź“–

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.

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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 Metrics 

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 đź“„

  1. 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
  2. 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
  3. 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
  4. 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)
  5. 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.

Abeer Iftikhar | Information Security | Best Researcher Award

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Ms. Abeer Iftikhar | Information Security | Best Researcher Award

PHD Scholar, Bahria University Islamabad, Pakistan đź“ť

Dr. Abeer Iftikhar Tahirkheli is a distinguished researcher and instructor with nearly 24 years of extensive experience in the fields of Computer Science, Information Security, Strategic Studies, and Defense Analysis. Her professional journey spans multinational corporations, academia, and defense forces, where she has significantly contributed to research, instructional roles, and strategic development. Dr. Abeer’s primary focus is on advancing Information Security, Artificial Intelligence, and Network Forensics, with a special emphasis on Smart City Networks and Trust Evaluation Mechanisms. Her academic and professional contributions are marked by a commitment to enhancing security protocols and developing innovative solutions to address modern-day challenges in cybersecurity, strategic studies, and forensic analysis.

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Google Scholar

Education 🎓

Dr. Abeer Iftikhar Tahirkheli has an impressive academic background in Computer Science, Information Security, and Strategic Studies. She is currently completing her Ph.D. in Computer Science at Bahria University, Islamabad, with research aimed at enhancing trust in smart city networks through innovative security measures. She earned her MS in Information Security from Bahria University in 2020, achieving a CGPA of 4.0 and a Roll of Honor for her work on trust evaluation in networked environments. Dr. Abeer also holds an MPhil in Strategic Studies from the National Defence University, where she graduated top of her class with a thesis on the strategic impact of military modernization in South Asia. Her foundation includes a Master’s in Computer Science from the International Islamic University, Islamabad, and a Bachelor’s in Science from Punjab University, with a focus on Mathematics and Statistics. She has also earned certifications in cybersecurity, including MCNA-2 and advanced Signals Analysis training in Germany.

Professional Experience đź’Ľ

With almost 16 years in instructional roles, Dr. Abeer has taught and developed courses across multiple educational and professional echelons, focusing on subjects like Information Technology, Signal Communication, Security Analysis, and Strategic Studies. Her vast experience includes roles in multinational environments and defense sectors, where she led projects in Network Security, Surveillance, and Communication Systems. Her strategic insight, analytical abilities, and research initiatives have had a substantial impact on security operations and technology implementation in defense organizations.

Research Interests 🔬

Dr. Abeer’s research interests lie at the intersection of technology and security. She specializes in:

  • Information Security and Trust Mechanisms
  • Artificial Intelligence for Smart City Applications
  • Network Forensics and Cyber Threat Prevention
  • Security and Surveillance Systems in Defense
  • Strategic Studies and Conflict Analysis

Her research contributions focus on advancing security measures in smart cities, utilizing detection and prevention methods to maintain data integrity and system trust in edge-based networks. She is also deeply engaged in exploring the strategic implications of modernization in regional defense systems, contributing to the strategic environment of South Asia.

Author Metrics 🏆

Dr. Abeer Iftikhar Tahirkheli’s author metrics reflect her impactful contributions in cybersecurity, strategic studies, and network forensics. Her research, primarily focused on trust mechanisms for smart city networks and security innovations in edge computing, has been well-received, with numerous citations that highlight her influence in both academic and professional communities. Dr. Abeer’s publications span reputed journals and conferences, where she has presented her findings on enhancing information security and analyzing strategic geopolitical impacts, particularly in South Asia. Her work’s high citation count underscores the relevance and applicability of her research to contemporary security and strategic challenges, and her recognized contributions are evident in her collaborations across interdisciplinary studies. Her author metrics illustrate a sustained commitment to pioneering research, driving advancements in technology and security practices for complex, real-world systems.

Publications Top Notes đź“š

  1. Trust Management and Evaluation for Edge Intelligence in the Internet of Things
    • Authors: KN Qureshi, A Iftikhar, SN Bhatti, F Piccialli, F Giampaolo, G Jeon
    • Journal: Engineering Applications of Artificial Intelligence
    • Volume: 94
    • Article ID: 103756
    • Year: 2020
    • Citations: 62
    • Summary: This paper explores trust management frameworks for edge intelligence in IoT systems, aiming to enhance security and reliability in decentralized environments.
  2. A Survey on Modern Cloud Computing Security over Smart City Networks: Threats, Vulnerabilities, Consequences, Countermeasures, and Challenges
    • Authors: AI Tahirkheli, M Shiraz, B Hayat, M Idrees, A Sajid, R Ullah, N Ayub
    • Journal: Electronics
    • Volume: 10, Issue 15
    • Article ID: 1811
    • Year: 2021
    • Citations: 47
    • Summary: This survey provides an in-depth review of security challenges in cloud computing for smart cities, including threats, vulnerabilities, and effective countermeasures, with a focus on improving resilience.
  3. Security, Trust, and Privacy Risks, Responses, and Solutions for High-Speed Smart Cities Networks: A Systematic Literature Review
    • Authors: A Iftikhar, KN Qureshi, M Shiraz, S Albahli
    • Journal: Journal of King Saud University – Computer and Information Sciences
    • Article ID: 101788
    • Year: 2023
    • Citations: 20
    • Summary: This paper systematically reviews the risks and protective measures surrounding security, trust, and privacy within high-speed smart city networks, offering a foundation for safer digital infrastructures.
  4. Predicting COVID-19 Infections Prevalence Using Linear Regression Tool
    • Authors: STA Shah, A Iftikhar, MI Khan, M Mansoor, AF Mirza, M Bilal
    • Year: 2020
    • Citations: 7
    • Summary: In this research, linear regression models are applied to predict COVID-19 infection trends, contributing to epidemiological understanding and planning.
  5. A Blockchain-based Secure Authentication Technique for Ensuring User Privacy in Edge-Based Smart City Networks
    • Authors: A Iftikhar, KN Qureshi, FB Hussain, M Shiraz, M Sookhak
    • Journal: Journal of Network and Computer Applications
    • Article DOI: 10.1016/j.jnca.2024.104052
    • Publication Year: 2024
    • Article Number: 104052

Conclusion

Given her extensive experience, interdisciplinary approach, and significant contributions to network security and strategic studies, Dr. Abeer Iftikhar Tahirkheli’s profile strongly aligns with the criteria for the Best Researcher Award. Her commitment to advancing cybersecurity in smart cities, alongside her academic rigor and dedication, make her a highly deserving candidate for this honor.