Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

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Mr. Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

Cheif Technology Officer | V2 Technologies Inc | United States

Dr. Sathiyandrakumar Srinivasan is an emerging researcher in artificial intelligence, cybersecurity, and intelligent systems, currently affiliated with the Kalasalingam Academy of Research and Education, Krishnankoil, India. His work focuses on IoT security, evolutionary computing, intrusion detection systems, and machine learning–driven optimisation, where he integrates computational intelligence with advanced security frameworks to address critical challenges in modern networked environments. He has authored 19 peer-reviewed publications in reputed international journals and conferences, demonstrating a strong interdisciplinary profile and innovative research approach. His scholarship includes the notable 2025 contribution, “Securing IoT Network with Hybrid Evolutionary Lion Intrusion Detection System: A Composite Motion Optimisation Algorithm for Feature Selection and Ensemble Classification,” which highlights his expertise in designing hybrid AI models for enhancing IoT resilience. Dr. Srinivasan has collaborated with more than 30 co-authors, reflecting his active engagement in the global research community and his commitment to collaborative, high-impact scientific inquiry. His work carries significant societal relevance, particularly in strengthening digital trust, securing smart infrastructures, and improving the safety and reliability of intelligent systems domains critical to present and future technological landscapes. Dr. Srinivasan’s academic influence and research productivity are reflected in his metrics 141 citations, 19 documents, and an h-index of 7.

Profile: Scopus

Featured Publication

Srinivasan, S., Author2, A., Author3, B., & Author4, C. (2025). Securing IoT network with hybrid evolutionary lion intrusion detection system: A composite motion optimisation algorithm for feature selection and ensemble classification. Journal of Experimental and Theoretical Artificial Intelligence, xx–xx.

I. Varalakshmi | Network | Best Researcher Award

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Dr. I. Varalakshmi | Network | Best Researcher Award

Associate Professor at  SRM Institute of Science and Technology, India

Dr. I. Varalakshmi, an Associate Professor in the Department of CSE at Manakula Vinayagar Institute of Technology, is a highly accomplished researcher in IoT and Cyber Security. With a Ph.D. in progress and a strong academic background, she has published 27 journal papers, 23 conference papers, and contributed to 4 book chapters. Her leadership roles as the NAAC Coordinator, IQAC Coordinator, and reviewer for IEEE and Springer further highlight her commitment to academic excellence. She has also trained students to secure high marks and win national/international competitions. Dr. Varalakshmi’s involvement in securing funding for projects, including PMKVY-funded initiatives, showcases her resource management skills. While she has filed and published patents, further industry collaborations and securing larger research grants could enhance her impact. Expanding into emerging research areas like AI-driven security or blockchain-based IoT security would also strengthen her contributions. Overall, she is a well-rounded and deserving candidate for the Best Researcher Award.

Dr. I. Varalakshmi has a solid academic foundation in the field of Computer Science and Engineering. She is currently pursuing a Ph.D. in Cyber Security at Pondicherry University, with her thesis already submitted. She holds a Master’s degree in Computer Science and Engineering (M.Tech) from Pondicherry University, completed in 2012, and a Bachelor’s degree in Information Technology (B.Tech) from Anna University, which she completed in 2010. Throughout her academic journey, Dr. Varalakshmi has demonstrated a keen interest in IoT and Cyber Security, which is reflected in both her ongoing doctoral research and her professional experience. Her academic qualifications have been further enriched by certifications such as Wipro’s Full Stack Development and involvement in various national and international skill development initiatives. This strong educational background, combined with her continued pursuit of knowledge and research, makes her a respected figure in the academic and research community.

Professional Experience

Dr. I. Varalakshmi has over 13 years of experience in academia, with a focus on teaching, research, and administration. She began her career as an Assistant Professor at Manakula Vinayagar Institute of Technology in May 2012, and in January 2025, she was promoted to Associate Professor. Throughout her tenure, she has held several important administrative roles, including serving as the Department NAAC Coordinator, IQAC Coordinator, and Discipline Committee member. She has also been actively involved in organizing academic activities, admissions counseling, and coordinating student competitions. Dr. Varalakshmi’s professional experience extends beyond teaching, as she has contributed to various research initiatives and secured funding for projects. She has been a key member of the Board of Studies for Pondicherry University’s B.Tech (CSE) program. Additionally, she has been recognized for her efforts as a Wipro Certified Faculty Coordinator and has trained students to win prestigious national and international competitions, demonstrating her leadership and mentoring skills.

Research Interest

Dr. I. Varalakshmi’s primary research interests lie in the fields of Internet of Things (IoT) and Cyber Security. Her work focuses on addressing the security challenges in IoT systems, with an emphasis on designing robust and scalable solutions to protect sensitive data and maintain the integrity of connected devices. She is particularly interested in exploring the vulnerabilities of IoT networks and developing advanced security protocols to mitigate these risks. Additionally, Dr. Varalakshmi’s research involves studying emerging security threats in the rapidly evolving landscape of cyber technologies. She is dedicated to investigating novel techniques in encryption, authentication, and data protection to safeguard IoT ecosystems. Her ongoing Ph.D. research at Pondicherry University is centered on Cyber Security, with a specific focus on building secure frameworks for IoT applications. Through her research, she aims to contribute to the development of safer, more reliable IoT systems, which are becoming increasingly integral to modern technological infrastructure.

Award and Honor

Dr. I. Varalakshmi has received several awards and honors in recognition of her outstanding contributions to academia and research. She was honored with an award from ICTACT/UiPath Academy for her role as a coordinator in the ICTACT-Skillathon, showcasing her commitment to skill development and education. Additionally, she has been recognized as a Wipro Certified Faculty Coordinator, earning a cash award for two consecutive years for her exemplary work in training students in Java Full Stack Development. Dr. Varalakshmi’s expertise in her field is further acknowledged through her role as a Technical Committee member and reviewer for various prestigious IEEE and Springer conferences, starting in 2022. She has also been a reviewer for prominent journals such as Taylor and Francis and Springer since 2023. Furthermore, her ability to guide students to success is reflected in her consistent achievement of over 90% results in the subjects she teaches and her active participation in national and international competitions.

Research Skill

Dr. I. Varalakshmi possesses a diverse set of research skills that have enabled her to make significant contributions to the fields of IoT and Cyber Security. Her expertise includes conducting in-depth analysis of security challenges in IoT systems, developing security protocols, and implementing encryption and authentication techniques to safeguard data. She is skilled in identifying vulnerabilities within complex networks and proposing innovative solutions to mitigate these risks. Additionally, Dr. Varalakshmi is proficient in conducting literature reviews, data analysis, and designing experimental methodologies to explore emerging cyber threats. Her ability to secure funding for research projects and manage research teams demonstrates her strong project management and organizational skills. She is also adept at writing research papers, with numerous publications in international journals and conferences, reflecting her proficiency in academic writing and peer-reviewed submissions. Her collaborative skills, as seen in her roles as a reviewer for IEEE and Springer, further enhance her research capabilities and impact.

Conclusion

Dr. I. Varalakshmi is a highly deserving candidate for the Best Researcher Award due to her substantial contributions in IoT and Cyber Security, coupled with her academic leadership and ongoing research in a critical area. While she has achieved significant success, continuing to expand her research impact through increased patent filings, industry collaborations, and securing larger research grants would further elevate her profile as a leading researcher in her field. Her ability to balance academic excellence with practical applications and student mentorship positions her as a well-rounded candidate for this prestigious award.

Publications top Noted

  • Title: Detection of Distributed Denial of Service Attack in an Internet of Things Environment – A Review
    Authors: Varalakshmi, I.; Thenmozhi, M.; Sasi, R.
    Year: 2021
    Citation: 2021 International Conference on System, Computation, Automation and Networking, ICSCAN 2021
    DOI: 10.1109/ICSCAN53069.2021.9526378
    EID: 2-s2.0-85115711748

  • Title: Human Computer Interaction for Detection of Hand Gesture Using 3D Convolutional Neural Network in Machine Learning Techniques
    Authors: Varalakshmi, I.; Mohana Priya, D.; Mathivanan, P.
    Year: 2021
    Citation: Research Challenges in Science, Engineering and Technology
    EID: 2-s2.0-85131490880

  • Title: Performance Analysis of Various Machine Learning Algorithms for Fall Detection – A Survey
    Authors: Varalakshmi, M.I.; Mahalakshmi, M.A.; Sriharini, M.P.
    Year: 2020
    Citation: 2020 International Conference on System, Computation, Automation and Networking, ICSCAN 2020
    DOI: 10.1109/ICSCAN49426.2020.9262318
    EID: 2-s2.0-85098238748

  • Title: Navigation System for the Visually Challenged Using Internet of Things
    Authors: Varalakshmi, I.; Kumarakrishnan, S.
    Year: 2019
    Citation: 2019 IEEE International Conference on System, Computation, Automation and Networking, ICSCAN 2019
    DOI: 10.1109/ICSCAN.2019.8878758
    EID: 2-s2.0-85074777832

Mehrasa Ahmadipour | Information Theory | Best Researcher Award

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Dr. Mehrasa Ahmadipour | Information Theory | Best Researcher Award

Postdoc at UMPA, ens de lyon, France

Mehrasa Ahmadipour is a highly qualified candidate for the Best Researcher Award, with a Ph.D. in Information Theory from Institut Polytechnique de Paris and postdoctoral research at ENS Lyon in Sequential Statistics and Reinforcement Learning. Her expertise spans Multi-Armed Bandit Problems, ISAC, Neural Networks, and Physical Layer Security. She has contributed significantly as a guest editor, reviewer for IEEE journals, and session chair at IEEE ISIT 2023. With teaching experience in Information Theory, Cryptography, and Probability, she has also supervised master’s students. Additionally, she has held key roles in organizing academic conferences like CJC-MA 2024 and ISIT 2019. While her academic and research credentials are outstanding, strengthening her portfolio with more high-impact publications, citations, research funding, and industry collaborations would further enhance her profile. Overall, her research excellence, leadership, and contributions to the field make her a strong contender for the award.

Professional Profile 

Education🎓

Mehrasa Ahmadipour has a strong academic background in Electrical Engineering and Information Theory. She earned her Ph.D. from Institut Polytechnique de Paris (Télécom Paris) in 2022, specializing in Integrated Sensing and Communication (ISAC) under the supervision of Michele Wigger. Her doctoral research focused on an information-theoretic approach to ISAC, contributing to advancements in wireless communication and signal processing. Prior to that, she completed her M.Sc. in Electrical Engineering (Telecommunications Systems and Security) at the University of Tehran, where she worked on Physical Layer Authentication and Covert Communication in Wireless Networks. She earned her B.Sc. in Electrical Engineering from Iran University of Science and Technology (IUST), with a focus on Hyper Spectral Image Processing. Her academic journey began at the National Organization for Development of Exceptional Talents (NODET), where she specialized in Physics and Mathematics, ranking in the top 0.1% in university entrance exams, demonstrating exceptional academic excellence.

Professional Experience 📝

Mehrasa Ahmadipour has extensive professional experience in research and academia, focusing on Information Theory, Machine Learning, and Telecommunications. She is currently a Postdoctoral Researcher at École Normale Supérieure de Lyon, working on Sequential Statistics and Reinforcement Learning under the supervision of Aurélien Garivier. Her research explores advanced statistical methods and optimization techniques in decision-making processes. Previously, she completed a Master’s internship at Télécom ParisTech, where she applied information-theoretic tools to Machine Learning. Throughout her career, she has contributed to various research areas, including Multi-Armed Bandit Problems, Integrated Sensing and Communication (ISAC), Physical Layer Security, and Covert Communication. In addition to her research, she has played a key role in academia, serving as a session chair at IEEE ISIT 2023, a guest editor for Entropy, and a reviewer for IEEE journals and conferences. Her strong research background, leadership roles, and technical expertise position her as a leading scholar in her field.

Research Interest🔎

Mehrasa Ahmadipour’s research interests lie at the intersection of Information Theory, Machine Learning, and Wireless Communications, with a strong focus on Sequential Statistics and Reinforcement Learning. She is particularly interested in Multi-Armed Bandit Problems, exploring their applications in decision-making, resource allocation, and optimization. Her work in Integrated Sensing and Communication (ISAC) has contributed to advancements in wireless networks, particularly in Multiple Access and Broadcast Channels. She has also conducted research on Physical Layer Security, Covert Communication, and Neural Networks, applying information-theoretic tools to enhance security and efficiency in modern communication systems. Additionally, her research in Machine Learning interpretation using information theory has provided insights into neural network behavior. Through her multidisciplinary expertise, she aims to bridge the gap between statistical learning, security, and telecommunications, making significant contributions to next-generation communication systems and artificial intelligence applications.

Award and Honor🏆

Mehrasa Ahmadipour has received several prestigious awards and honors for her academic excellence and research achievements. She ranked in the top 0.1% of all participants in the university entrance exam (Concours) in 2010, demonstrating exceptional academic ability. Later, in 2016, she ranked in the top 1% of all participants in the university entrance exam for the master’s program, further solidifying her position as a top-tier student in Electrical Engineering. Her research contributions in Information Theory, Reinforcement Learning, and Wireless Communications have earned her recognition in the academic community, including invitations to serve as a guest editor for Entropy and as a session chair at IEEE ISIT 2023. Additionally, she has been actively involved in reviewing for leading IEEE journals and conferences, contributing to the advancement of knowledge in her field. Her outstanding academic record, research impact, and leadership roles highlight her as a distinguished scholar.

Research Skill🔬

Mehrasa Ahmadipour possesses a diverse set of research skills in Information Theory, Machine Learning, and Wireless Communications. She is highly proficient in Sequential Statistics, Reinforcement Learning, and Multi-Armed Bandit Problems, with expertise in designing and analyzing optimization algorithms for decision-making processes. Her work on Integrated Sensing and Communication (ISAC) demonstrates her ability to apply information-theoretic approaches to modern wireless networks, particularly in Multiple Access and Broadcast Channels. Additionally, she has strong skills in Physical Layer Security, Covert Communication, and Neural Network Interpretation, utilizing advanced mathematical modeling and probabilistic methods. She is also an experienced reviewer and editor for leading IEEE journals, demonstrating her ability to critically evaluate cutting-edge research. Her technical skills include proficiency in MATLAB, Simulink, Python, and C++, enabling her to implement and validate complex theoretical models. Her strong analytical thinking, problem-solving abilities, and interdisciplinary expertise make her a highly skilled researcher.

Conclusion💡

Mehrasa Ahmadipour is a highly qualified and competitive candidate for the Best Researcher Award, given her strong research background, postdoctoral contributions, peer-reviewing roles, and teaching experience. However, to strengthen the nomination, focusing on high-impact publications, citation impact, research funding, and industrial collaborations would further solidify her case. If her publication and citation metrics are strong, she would be an excellent choice for this award.

Publications Top Noted✍️

  • Title: An information-theoretic approach to joint sensing and communication
    Authors: M. Ahmadipour, M. Kobayashi, M. Wigger, G. Caire
    Year: 2022
    Citations: 109

  • Title: Joint sensing and communication over memoryless broadcast channels
    Authors: M. Ahmadipour, M. Wigger, M. Kobayashi
    Year: 2021
    Citations: 32

  • Title: An information-theoretic approach to collaborative integrated sensing and communication for two-transmitter systems
    Authors: M. Ahmadipour, M. Wigger
    Year: 2023
    Citations: 18

  • Title: Strong converses for memoryless bi-static ISAC
    Authors: M. Ahmadipour, M. Wigger, S. Shamai
    Year: 2023
    Citations: 13

  • Title: Coding for sensing: An improved scheme for integrated sensing and communication over MACs
    Authors: M. Ahmadipour, M. Wigger, M. Kobayashi
    Year: 2022
    Citations: 13

  • Title: Integrated communication and receiver sensing with security constraints on message and state
    Authors: M. Ahmadipour, M. Wigger, S. Shamai
    Year: 2023
    Citations: 11

  • Title: Covert communication over a compound discrete memoryless channel
    Authors: M. Ahmadipour, S. Salehkalaibar, M.H. Yassaee, V.Y.F. Tan
    Year: 2019
    Citations: 10

  • Title: State masking over a two-state compound channel
    Authors: S. Salehkalaibar, M.H. Yassaee, V.Y.F. Tan, M. Ahmadipour
    Year: 2021
    Citations: 3

  • Title: Strong Converse for Bi-Static ISAC with Two Detection-Error Exponents
    Authors: M. Ahmadipour, M. Wigger, S. Shamai
    Year: 2024
    Citations: 2

Salvador Cuñat | Seguridad IoT | Best Researcher Award

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🌟Mr. Salvador Cuñat, Seguridad IoT, Best Researcher Award🏆

Salvador Cuñat at Universitat Politècnica de Valencia, Spain

Salvador Cuñat Neguerol is a cybersecurity researcher specializing in Security and Trust for IoT networks. He is currently a PhD student at the Universitat Politècnica de València (UPV) in the Sistemas y Aplicaciones de Tiempo Real Distribuidos (SATRD) group. With expertise in intrusion detection systems, IoT security, pentesting, and computer forensics, Salvador’s work bridges the gap between theoretical research and practical applications in cybersecurity. He holds a Bachelor’s degree in Computer Engineering and a Master’s degree in Cybersecurity and Cyberintelligence from ETSINF, UPV.

Author Metrics

Salvador Cuñat Neguerol has established himself as a prolific author in the field of cybersecurity, with numerous publications in reputable conferences and journals. His research contributions have garnered attention within the academic community, reflecting his expertise and impact in advancing the state of cybersecurity knowledge.

ORCID Profile

Education

Salvador Cuñat Neguerol completed his Bachelor’s degree in Computer Engineering at ETSINF, UPV, Spain, from 2016 to 2020. He pursued further education by obtaining a Master’s degree in Cybersecurity and Cyberintelligence from the same institution in 2022.

Research Focus

Salvador’s research focuses primarily on Security and Trust for IoT networks within the SATRD group at UPV. His work encompasses various aspects of cybersecurity, including intrusion detection systems, IoT security, pentesting, computer forensics, and malware analysis. He is particularly interested in the application of cybersecurity measures in industrial IoT environments.

Professional Journey

Salvador Cuñat Neguerol’s professional journey began with roles as a Computer Engineer at F1-Connecting and Stadler Rail, where he gained practical experience in cybersecurity and software development. Subsequently, he transitioned into research positions at SATRD UPV, contributing to projects such as the Dataports Project and the aerOS Project.

Honors & Awards

Salvador’s dedication and expertise in cybersecurity have been recognized through various honors and awards. Notably, he was a finalist in the National Cyber League 2020 competition, showcasing his proficiency and skills in cybersecurity challenges.

Publications Noted & Contributions

Salvador Cuñat Neguerol has made significant contributions to the field of cybersecurity through his research publications. Notable among these are papers related to Digital Twin and security for industrial IoT environments, which have been presented at conferences and published in peer-reviewed journals. His research findings have contributed to advancing knowledge and understanding in cybersecurity domains.

Title: A Blockchain-based Digital Twin for IoT Deployments in Logistics and Transportation

Journal: Future Generation Computer Systems Publication Date: September 2024

Article Type: Journal Article

DOI: 10.1016/j.future.2024.04.011

Contributors:

  1. Salvador Cuñat Negueroles
  2. Raúl Reinosa Simón
  3. Matilde Julián
  4. Andreu Belsa
  5. Ignacio Lacalle
  6. Raúl S-Julián
  7. Carlos E. Palau

Abstract: The abstract is not provided in the available information.

This article, published in Future Generation Computer Systems, introduces a Blockchain-based Digital Twin for IoT deployments in the logistics and transportation sector. The contributors to this research include Salvador Cuñat Negueroles, Raúl Reinosa Simón, Matilde Julián, Andreu Belsa, Ignacio Lacalle, Raúl S-Julián, and Carlos E. Palau.

Research Timeline

Salvador’s research journey has evolved over time, starting from his academic studies in Computer Engineering and progressing to specialized research in cybersecurity at UPV. He has been actively involved in research projects and collaborations, contributing to the development of innovative solutions for cybersecurity challenges.

Collaborations and Projects

Salvador has engaged in collaborations with academic and industrial partners to tackle cybersecurity challenges. His involvement in projects such as the Dataports Project and the aerOS Project demonstrates his commitment to interdisciplinary research and practical applications of cybersecurity solutions. Through these collaborations, Salvador has contributed to advancing knowledge and addressing real-world cybersecurity threats.