Yaru Zhang | Flexible Electronics | Best Researcher Award

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Dr. Yaru Zhang | Flexible Electronics | Best Researcher Award

Doctor at Xian Jiaotong University, China

Dr. Yaru Zhang is a dedicated applied researcher at Xi’an Jiaotong University, specializing in flexible electronics and advanced composite materials. Her research bridges the disciplines of materials science, textile engineering, and mechanical design to address emerging challenges in wearable energy storage devices and structural performance in additive manufacturing. Dr. Zhang has made significant contributions to the development of planar micro-energy storage systems and carbon fiber-reinforced composites through innovative applications of textile-based and additive manufacturing technologies. Her interdisciplinary expertise has earned her several high-impact publications and national recognitions, including scholarships and academic awards.

Profile

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Education

Dr. Zhang’s academic journey is rooted in consistent excellence and interdisciplinary learning. She is currently pursuing her doctoral studies in Mechanical Engineering at Xi’an Jiaotong University, a leading institution in China. Prior to this, she earned her Master’s degree in Light Industry Technology and Engineering from Zhejiang Sci-Tech University, graduating top of her class in 2022. Her undergraduate education was also at Zhejiang Sci-Tech University, where she specialized in Light Chemical Engineering. During both her Bachelor’s and Master’s programs, she received multiple honors, including National Scholarships, First Prize Scholarships, and accolades for academic merit and extracurricular contributions.

Experience

Dr. Zhang’s research experience is anchored in both theoretical and practical advancements in flexible electronics and mechanical systems. At Xi’an Jiaotong University, she leads and participates in high-impact research projects focusing on carbon fiber-reinforced polymers and micro-energy storage solutions. She has completed projects such as the development of EGaIn/Silk Fibroin electronic inks for screen printing and is currently working on multi-stable negative stiffness structures for energy absorption in additively manufactured composites. Her multidisciplinary background allows her to integrate principles from chemistry, materials science, and engineering to design systems with real-world applications in energy, aerospace, and wearable technology.

Research Interest

Dr. Zhang’s research interests include flexible electronics, micro-energy storage, and continuous carbon fiber composites. She is particularly focused on the use of additive manufacturing and textile technologies to develop high-performance, wearable energy storage systems. Her work also explores failure mechanisms and mechanical behavior of advanced composites under various stress and environmental conditions. She aims to optimize structural materials for next-generation aerospace and marine applications by integrating polymer viscoelasticity with fiber reinforcements. Her scientific approach combines computational analysis with experimental validation, promoting innovations in sustainable energy devices and smart textiles.

Award

Throughout her academic career, Dr. Zhang has been the recipient of numerous prestigious awards and scholarships. These include the National Scholarship and multiple First Prize Scholarships, awarded for her outstanding academic performance and innovative research. She has been recognized as a Merit Student and Excellent Student Cadre on several occasions, highlighting both her academic and leadership qualities. Her Master’s thesis was also funded under the Outstanding Master’s Degree Thesis Cultivation Fund by Zhejiang Sci-Tech University. These accolades are a testament to her consistent pursuit of excellence in both scholarly and applied scientific domains.

Publication

Dr. Zhang has published several articles in highly ranked international journals. Notable among them are:

  1. “Highly Conductive EGaIn/Silk Fibroin Ink for graphene 3D Array Structure Micro-supercapacitors,” Chemical Engineering Journal, 2022 – a widely cited work on flexible ink technologies for energy storage.

  2. “Wet twisting treatment, process parameter optimisation and mechanical failure mechanisms of 3D printed carbon fibre composites,” Composites Communications, 2025 – offering insights into process optimization in carbon fiber 3D printing.

  3. “A Review of 3D Printing Continuous Carbon Fiber Reinforced Thermoplastic Polymers,” Polymer Composites, 2025 – a comprehensive survey of materials and failure modes in fiber-reinforced polymers.

  4. “Wearable Alternating Current Electroluminescent e-Textiles with High Brightness,” Advanced Functional Materials, 2023 – recognized for its novel application of sprayed layer-by-layer assembly for wearable electronics.

  5. “Laser printing-based high-resolution metal patterns for planar energy devices,” Chemical Engineering Journal, 2022 – demonstrating scalable fabrication methods for micro-supercapacitors.

  6. “Defects, microstructure, and properties in laser powder bed fusion IN718,” Journal of Manufacturing Processes, 2025 – addressing key manufacturing challenges in additive metal printing.

  7. “Improving LPBF IN718 Process Development Efficiency by Eliminating Pore Defects,” Materials, 2025 – advancing defect control strategies in high-performance alloys.

Each of these publications contributes significantly to their respective fields and has been cited in numerous subsequent studies, underscoring their impact.

Conclusion

Dr. Yaru Zhang exemplifies the integration of scientific rigor with innovation across multiple disciplines. Her research in flexible electronics and composite structures has resulted in practical solutions for wearable technology and aerospace applications. With a strong educational foundation, award-winning academic performance, and an impressive portfolio of publications and patents, she is poised to become a leading voice in the field of applied science. Her ability to translate material science innovations into functional designs for real-world use makes her a worthy nominee for the Best Researcher Award.

Kuna Naresh | IOT Machine Learning | Best Researcher Award

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Dr. Kuna Naresh | IOT Machine Learning | Best Researcher Award

Assistant Professor at TKR COLLEGE OF ENGINEERING AND TECHNOLOGY, India

Dr. Kuna Naresh is an esteemed academician and researcher in Computer Science and Engineering, currently serving as an Associate Professor in the Department of Computer Science & Engineering. With extensive experience in teaching and research, his expertise spans across various domains including Software Engineering, Data Mining, Computer Networks, Semantic Web, Social Networks, and Machine Learning. Dr. Naresh has been instrumental in shaping the academic and professional careers of numerous students and researchers through his contributions in education and research.

profile

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Education

Dr. Kuna Naresh holds a Ph.D. in Computer Science and Engineering from NIILM University, Haryana (2018-2023). He completed his M.Tech in Software Engineering from Jagruthi Institute of Engineering and Technology, JNTUH (2010–2012), and obtained his B.Tech in Information Technology from Nagarjuna Institute of Technology & Sciences, JNTUH (2005–2009). His strong academic foundation has enabled him to contribute significantly to various research fields and advancements in computer science.

Experience

Dr. Naresh has a rich teaching experience spanning over a decade. He is currently serving as an Assistant Professor at TKR College of Engineering and Technology, a position he has held since 2012. Prior to this, he worked as an Assistant Professor at Nagarjuna Institute of Technology & Sciences from 2010 to 2012 and at Sana Engineering College, Kodad, from 2009 to 2010. Throughout his tenure, he has actively engaged in mentoring students, conducting research, and developing innovative teaching methodologies to enhance the learning experience.

Research Interests

Dr. Kuna Naresh’s research interests include Software Engineering, Data Mining, Computer Networks, Semantic Web and Social Networks, and Machine Learning. His work focuses on advancing the fields of artificial intelligence and data analytics to solve complex real-world problems. He has been actively involved in research projects that explore anomaly detection, real-time surveillance, and continuous learning systems to enhance security and automation processes.

Awards and Recognitions

Dr. Kuna Naresh has been recognized for his exceptional contributions to academia and research. He has received the Best Faculty Coordinator Award for Annual Day celebrations at TKRCET in both 2015 and 2017. These accolades underscore his commitment to fostering academic excellence and leadership within his institution.

Publications

“Review of Anomaly Detection in Video Surveillance” – Published in Vol. 12, No. 02 (2021), pages 2542-2548.

“Detecting Abnormalities Using VGG 16 Neural Networks: An Anomaly Detection Framework” – Published in NeuroQuantology, April 2022, Volume 20, Issue 4, pages 1484-1491, DOI: 10.48047/nq.2022.20.4.nq22380.

“Enhancing Video Surveillance Through Real-Time Anomaly Detection and Continuous Learning with Step Incremental Learner (SIL)” – Published in European Chemical Bulletin, 2023, Volume 12, Issue 5, pages 6019-6028, DOI: 10.31838/ecb/2023.12.5.509.

Conclusion

Dr. Kuna Naresh’s extensive research contributions, academic excellence, and unwavering commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His innovative research, impactful teaching, and active participation in the academic community set a benchmark for excellence in the field of Computer Science and Engineering.

Daemin Shin | Computer Science | Academic Luminary Achievement Award

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Dr. Daemin Shin | Computer Science | Academic Luminary Achievement Award

Manager at Financial Security Institute (FSI), South Korea

Daemin Shin is a Manager at the Financial Security Institute, where he has been actively involved in advancing financial security measures since April 2015. With expertise in cloud security, Zero Trust security models, and data security, he has played a significant role in shaping secure financial infrastructures. Before his current role, he was a Senior Researcher at the Financial Security Research Institute from July 2012 to April 2015. His contributions to financial cybersecurity research have been instrumental in addressing security threats and enhancing the resilience of financial institutions. Shin continues to lead innovative research and development in financial security.

Profile

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Education

Daemin Shin earned his Master of Science in Engineering from the Graduate School of Information Security at Korea University, South Korea, in February 2009. He further pursued his Ph.D. in Engineering at the Department of Information Security, Soonchunhyang University, South Korea, which he successfully completed in February 2020. His academic journey reflects a strong foundation in cybersecurity, particularly focusing on financial security, cloud computing, and data protection. Throughout his education, he has been deeply engaged in research on securing financial transactions and developing security frameworks for modern digital finance ecosystems.

Experience

Shin has over a decade of experience in the field of financial security, with a strong emphasis on cloud security, data protection, and Zero Trust architectures. He started his career as a Senior Researcher at the Financial Security Research Institute, where he contributed to innovative research projects on financial cybersecurity from 2012 to 2015. Since April 2015, he has been serving as a Manager at the Financial Security Institute, where he continues to work on financial security infrastructure, cybersecurity policies, and security compliance strategies. His professional experience has significantly contributed to the development of robust security measures for the financial sector.

Research Interests

Shin’s research interests primarily focus on cloud security, financial security, and Zero Trust security models. He has conducted extensive research on securing cloud-based financial infrastructures, ensuring compliance with regulatory requirements, and mitigating security threats in digital finance. His recent works include studies on security considerations for DevSecOps software supply chains and Zero Trust evaluation frameworks tailored for financial institutions. His expertise in these domains has positioned him as a thought leader in enhancing cybersecurity resilience in the financial industry.

Awards and Recognitions

Shin has been recognized for his outstanding contributions to financial security and cybersecurity research. He has been nominated for the Best Researcher Award in recognition of his groundbreaking research on cloud security and financial security frameworks. His efforts in improving security compliance policies and implementing Zero Trust methodologies in financial institutions have gained widespread recognition. Shin’s work has had a substantial impact on the cybersecurity domain, making financial transactions and data storage more secure against emerging threats.

Publications

D. Shin, V. Sharma, J. Kim, S. Kwon, and I. You (2017). “Secure and Efficient Protocol for Route Optimization in PMIPv6-Based Smart Home IoT Networks,” IEEE Access, vol. 5, pp. 11100-11117, DOI: 10.1109/ACCESS.2017.2710379. Cited by 200+ articles.

D. Shin, K. Yun, J. Kim, P. V. Astillo, J.-N. Kim, and I. You (2019). “A Security Protocol for Route Optimization in DMM-Based Smart Home IoT Networks,” IEEE Access, vol. 7, pp. 142531-142550, DOI: 10.1109/ACCESS.2019.2943929. Cited by 150+ articles.

Shin, Daemin, Kim, Jiyoon, & You, Ilsun (2023). “국내 금융구득 클라우드 전환 동형 및 보안,” REVIEW OF KIISC, 33(5), 57-68. Cited by 50+ articles.

Shin, Daemin, You, Ilsun, and Kim, Jiyoon (2024). “국내 금융구득 클라우드 보안 위험 및 보안 요구사항에 관한 연구,” Journal of Next-Generation Computing, 20(4), 77-96, DOI: 10.23019/kingpc.20.4.202408.007. Cited by 30+ articles.

Daemin Shin, Jiyoon Kim, I Wayan Adi Juliawan Pawana, Ilsun You (2025). “Enhancing Cloud-Native DevSecOps: A Zero Trust Approach for the Financial Sector,” Computer Standards & Interfaces, DOI: 10.1016/j.csi.2025.103975. Cited by 20+ articles.

Conclusion

Daemin Shin’s dedication to advancing financial security and cybersecurity has been instrumental in shaping modern security frameworks for financial institutions. His research on cloud security, Zero Trust models, and DevSecOps methodologies continues to drive innovation in securing financial infrastructures. With a strong academic and professional background, he remains committed to developing secure financial ecosystems and mitigating cybersecurity risks in an ever-evolving digital landscape. His contributions have earned him significant recognition, making him a leading figure in financial security research.

Ameni Chetouane | Computer Science | Best Researcher Award

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Dr. Ameni Chetouane | Computer Science | Best Researcher Award

Contractual assistant at Higher Institute of Computer Science – Tunisia (ISI), Tunisia

Ameni Chetouane is a dedicated doctoral student specializing in computer science, currently pursuing her PhD at the Ecole Nationale des Sciences de l’Informatique (ENSI) at the University of Manouba, Tunisia. Her academic journey began with a Bachelor’s in Applied Computer Networks followed by a Master’s degree, where she concentrated on network technologies and video analysis for traffic congestion detection. She is deeply involved in research aimed at securing Software Defined Networking (SDN) systems against cyber-attacks using Artificial Intelligence (AI) methods.

Profile

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Education

Ameni’s education spans several years, starting with a Bachelor’s degree in Applied Computer Networks from the Institut Supérieur d’Informatique de Mahdia (ISIMA) in 2014. She pursued two Master’s degrees, one focusing on network technologies and telecommunications, and the other on research in computer science, both from the University of Carthage’s Faculté des Sciences de Bizerte (FSB). Her doctoral studies, commenced in 2021, are focused on the application of AI for intrusion detection systems (IDS) in SDN environments, with a goal to combat cyber-attacks.

Experience

Ameni has gained practical teaching experience as a part-time instructor at the Institut Supérieur des Etudes Technologiques de Bizerte and the Faculté des Sciences de Bizerte, where she taught subjects such as database engineering and object-oriented programming. Her internships, including research at LaBRI, University of Bordeaux, and her professional project at Millénia Engineering, have allowed her to apply theoretical knowledge in real-world network and software development projects.

Research Interests

Ameni’s research is primarily focused on the security of SDN environments, particularly in utilizing AI for effective threat detection and mitigation. Her doctoral thesis specifically explores AI-driven solutions for securing SDN systems against Distributed Denial of Service (DDoS) attacks. She aims to improve the performance of IDSs by incorporating machine learning (ML) and continual learning methods into SDN security architectures, ensuring adaptive and real-time defenses against evolving threats.

Awards

Ameni has earned recognition for her academic and research excellence, notably her significant contributions to the field of SDN and AI. Her work has been presented at various international conferences, contributing to advancements in network security research. While specific awards are not listed, her impact within the academic community, through her publications and conference participations, is considerable.

Publications

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “A comparative study of vehicle detection methods in a video sequence.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2019.

Ameni Chetouane, Sabra Mabrouk, Imen Jemili, and Mohamed Mosbah. “Vision-based vehicle detection for road traffic congestion classification.” Concurrency and Computation: Practice and Experience, 2022.

Ameni Chetouane, Sabra Mabrouk, and Mohamed Mosbah. “Traffic congestion detection: Solutions, open issues, and challenges.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2020.

Ameni Chetouane and Kamel Karoui. “A survey of machine learning methods for DDoS threats detection against SDN.” International Workshop on Distributed Computing for Emerging Smart Networks, Springer, 2022.

Ameni Chetouane, Kamel Karoui, and Ghayth Nemri. “An intelligent ML-based IDS framework for DDoS detection in the SDN environment.” International Conference on Advances in Mobile Computing and Multimedia Intelligence, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “DDoS detection approach based on continual learning in the SDN environment.” International Conference on Hybrid Intelligent Systems, Springer, 2022.

Ameni Chetouane and Kamel Karoui. “Risk-based intrusion detection system in Software Defined Networking.” Concurrency and Computation: Practice and Experience, 2023.

Conclusion

Ameni Chetouane stands out in her field with a robust educational background, strong professional experiences, and an ongoing commitment to researching the intersection of AI and SDN security. Through her published works, she has made significant contributions to securing networks using intelligent methods, focusing on solving complex cyber threats in modern network infrastructures. As she continues her research, her work promises to shape the future of AI-driven cybersecurity in SDN environments.

Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

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Mr. Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

Researcher at Royal Military College of Canada

Nordine Quadar is a Professional Engineer (P.Eng), Technical Manager, and Researcher based in Montreal, Canada. With a robust foundation in Electrical and Computer Engineering, Nordine is renowned for his leadership, problem-solving expertise, and collaborative approach. He combines a passion for technology with a results-driven mindset, contributing to advancements in cybersecurity, machine learning, and wireless communication.

Profile

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Education📘

Nordine holds a PhD in Computer Science (2022–2025) from the Royal Military College of Canada, where he is researching UAV cybersecurity using Edge AI. He earned his Master of Applied Science in Electrical and Computer Engineering from the University of Ottawa (2015–2018) with a thesis on MIMO-CDMA systems. His academic journey began with a Bachelor of Applied Science in Electrical Engineering from the same institution (2011–2014), where he consistently excelled and was featured on the Dean’s Honor List.

Professional Experience💼

Nordine’s career spans technical management and research roles, where he has consistently driven operational excellence. As Regional Technical Manager at DC Group since 2017, he has enhanced project delivery and team performance. His cybersecurity research with Mitacs and Thales Digital Identity and Security has led to groundbreaking findings in RF signal analysis and machine learning applications. He has also held teaching and engineering roles that honed his mentorship and technical expertise.

Research Interests🧠

Nordine’s research focuses on creating optimized algorithms for machine learning to address cybersecurity issues in IoT, embedded systems, and UAVs. He is also passionate about natural language processing, cognitive radio, and situation awareness, exploring AI applications in wireless communication and physical layer security.

Awards and Recognitions🏆

Nordine has received numerous accolades, including multiple Mitacs Accelerate Program grants (2023, 2024/2025) and the University of Ottawa Excellence Scholarship. His achievements in academia and industry reflect his commitment to innovation and professional excellence.

Publications📚

Nordine has authored several influential works, including:

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(2), pp. 62–68.
  • Citations: 1

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(1), pp. 136–143.
  • Citations: 3

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2022, 5(3), pp. 140–145.
  • Citations: 8

Visual Analytics Methods for Eye Tracking Data

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 3–12.
  • Citations: 2

Smart Water Distribution System Based on IoT Networks: A Critical Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 293–303.
  • Citations: 17

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2020, 185, pp. 167–177.
  • Citations: 14

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

  • Authors: Quadar, N.
  • Publication: ACM International Conference Proceeding Series, 2019, a113.
  • Citations: 9

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

  • Authors: Quadar, N.
  • Publication: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, 2018-September, 8581049.
  • Citations: 0

Conclusion🌟

Nordine Quadar is an exceptional candidate for the Best Researcher Award. His prolific research output, diverse technical expertise, and effective leadership across both academic and industrial settings make him a strong contender. By addressing opportunities for broader collaboration and applied research translation, Nordine could further solidify his standing as a leading researcher with far-reaching contributions.