Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam , BIT Campus, India

Dr. V.M. Priyadharshini is a seasoned academician with over 20 years of experience in Information Technology ๐ŸŽ“๐Ÿ’ป. Currently serving as an Assistant Professor (Selection Grade) at AUBIT, she holds a Ph.D. in Information Technology and specializes in Social Network Analysis ๐ŸŒ. Her contributions span across intelligent systems, geospatial applications, and privacy-preserving frameworks, reflecting her commitment to impactful, interdisciplinary research ๐Ÿ”๐Ÿ“Š. With numerous publications in reputed international journals and conferences, she continuously explores innovative solutions for modern-day digital challenges ๐Ÿš€๐Ÿ“ก. Dr. Priyadharshini also mentors budding researchers while actively contributing to technological advancement in academia ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ“š.

Professional Profile:

Orcid

Suitability Of Best Researcher Award

Dr. V.M. Priyadharshini is an exemplary candidate for the Best Researcher Award based on her outstanding academic contributions, interdisciplinary research, and commitment to addressing pressing digital challenges. With over two decades of experience in Information Technology, Dr. Priyadharshini has developed a strong academic and professional profile, which includes notable achievements in Social Network Analysis (SNA), geospatial data analysis, and privacy-preserving frameworks.

๐ŸŽ“ Education and Experienceย 

  • ๐ŸŽ“ B.Tech in Information Technology

  • ๐ŸŽ“ M.Tech in Information Technology

  • ๐ŸŽ“ Ph.D. in Information Technology

  • ๐Ÿง‘โ€๐Ÿซ Assistant Professor (Selection Grade) โ€“ Department of IT, AUBIT

  • ๐Ÿ—“๏ธ 20 Years of Professional Experience in academia and research

๐Ÿ“ˆ Professional Development

Dr. Priyadharshini has consistently enhanced her academic and research profile through active participation in scholarly publications and technology forums ๐Ÿ“˜๐Ÿง . Her recent works in geospatial data analysis, machine learning, and spam detection in online networks exemplify her engagement with real-world challenges through a research lens ๐ŸŒ๐Ÿค–. She collaborates with peers across disciplines and contributes to conferences and workshops on privacy, cyber safety, and AI applications ๐Ÿ›ก๏ธ๐Ÿง‘โ€๐Ÿ’ผ. By integrating teaching and research, she ensures students stay updated with emerging trends while fostering innovation in the field of information technology ๐ŸŽฏ๐Ÿ“ก.

๐Ÿ”ฌ Research Focus Category

Dr. Priyadharshiniโ€™s primary research lies in Social Network Analysis (SNA) and its applications in cyber-security and intelligent systems ๐ŸŒ๐Ÿ”. Her work involves analyzing complex user behaviors, detecting malicious profiles, and safeguarding digital communication through adaptive frameworks ๐Ÿ’ฌ๐Ÿง . She also delves into machine learning, spam detection, and geospatial risk assessment, bringing a multi-disciplinary approach to digital and environmental data analytics ๐ŸŒŽ๐Ÿ“Š. Through applied computational models, she seeks to solve pressing issues in privacy protection, digital pollution monitoring, and smart data processing, pushing the envelope in IT-enabled societal resilience ๐Ÿ“ก๐Ÿงฌ.

๐Ÿ† Awards and Honorsย 

  • ๐Ÿ… Published in high-impact international journals such as ScienceDirect, Springer, and IOS Press

  • ๐Ÿ“– Recognized contributor to IEEE Conferences and Proceedings

  • ๐ŸŒŸ Reputed faculty at AUBIT with 20 years of teaching and research excellence

  • ๐Ÿงช Lead researcher in government-funded academic projects

Publication Top Notes:

Title: Adaptive Framework for Privacy Preserving in Online Social Networks
Journal: Wireless Personal Communications
Publication Date: December 20, 2021
DOI: 10.1007/s11277-021-08822-4
Authors: V. M. Priyadharshini, A. Valarmathi

๐Ÿ” Summary in Simple Terms:

This research addresses the growing concern of privacy in online social networks (OSNs) like Facebook, Twitter, and Instagram. The authors propose an adaptive privacy-preserving framework that helps users control how much and what kind of personal information is shared with others.

Abeer Iftikhar | Information Security | Best Researcher Award

Ms. Abeer Iftikhar | Information Security | Best Researcher Award

PHD Scholar, Bahria University Islamabad, Pakistan ๐Ÿ“

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. Abeerโ€™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.

Profile

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Education ๐ŸŽ“

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 Masterโ€™s in Computer Science from the International Islamic University, Islamabad, and a Bachelorโ€™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 ๐Ÿ’ผ

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 ๐Ÿ”ฌ

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 ๐Ÿ†

Dr. Abeer Iftikhar Tahirkheliโ€™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. Abeerโ€™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 ๐Ÿ“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 Tahirkheliโ€™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.