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

Scopus

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.

Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

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Dr. Eswaramoorthi R | Internet of Things (IoT) Data | Best Researcher Award

Professor | K S R College of Engineering | India

Dr. R. Eswaramoorthi is a distinguished academician and researcher specializing in Applied Electronics with a keen interest in Wireless Communication. Currently serving as a Professor at K.S.R. College of Engineering, he has over two decades of teaching and research experience. His contributions to academia include mentoring students, publishing research in reputed journals, and participating in technical conferences. His dedication to knowledge dissemination and commitment to advancing engineering education make him a respected figure in his field.

Profile

Google Scholar

Education

Dr. Eswaramoorthi holds an M.E. and a Ph.D., signifying his strong academic foundation in engineering. His advanced studies provided him with expertise in applied electronics, equipping him with the skills to conduct high-quality research in wireless communication. His academic journey has been marked by continuous learning, attending faculty development programs, and engaging in research methodologies to stay abreast of technological advancements.

Experience

Dr. Eswaramoorthi has been associated with K.S.R. College of Engineering since 2007, progressively advancing through various roles. He began as a Lecturer and was promoted to Senior Lecturer, Assistant Professor (Sr), Associate Professor, and now holds the esteemed position of Professor. Prior to this, he served as Head of the Department at K.S. Rangasamy Institute of Technology. His extensive experience spans across teaching, administration, and research, making significant contributions to the academic environment.

Research Interest

His primary research interests lie in Wireless Communication, with a focus on developing efficient communication technologies. He has explored topics such as signal processing, network security, and antenna design. His research aims to enhance wireless connectivity and optimize system performance, addressing real-world challenges in communication technology.

Awards

Dr. Eswaramoorthi has received several accolades for his contributions to engineering education and research. His excellence in teaching, dedication to mentoring students, and impactful research have earned him recognition at institutional and national levels. His participation in faculty development programs and workshops further highlights his commitment to academic excellence.

Publications

Eswaramoorthi, R., Deepika, G. (2012). “Efficient Algorithms for Extension of Mobile Backbone Networks,” International Journal of Electronics and Computer Science Engineering (IJECSE), ISSN 2277-1956. Cited by multiple research articles.

Seethal Thomas, R. Eswaramoorthi. (2013). “Secure Communication using Adaptive Pixel Pair Matching Embedding Method and Nymble System,” International Journal of Emerging Trends in Engineering and Development, ISSN 2249-6149.

Kurinjivendhen, S., Eswaramoorthi, R. (2015). “Enhancing Throughput using Sleep Scheduling Mechanism in Wireless Sensor Networks,” International Journal of Advanced Information Science and Technology (IJAIST), ISSN 2319-2682.

A. Gayathri, R. Eswaramoorthi. (2016). “Minimizing Transmission Cost and Efficient Routing for Third-Party Information Exchange,” International Journal of Advanced Research in Biology, Engineering, and Science Technology (IJARBEST), ISSN 2395-695X.

Eswaramoorthi, R., Singaravel, G. (2017). “PAPR Reduction Techniques in OFDM System,” International Journal of Emerging Research in Management and Technology, ISSN 2278-9359.

Eswaramoorthi, R., Singaravel, G. (2018). “Improved Artificial Bee Colony Optimization Approach in UWB-OFDM for Frequency Offset Estimation,” Journal of Testing and Evaluation, ISSN 0090-3973.

R. Eswaramoorthi et al. (2024). “Frequency Offset Estimation for UWB-OFDM System Using Monarch Butterfly Optimization,” Journal of Electrical Systems, ISSN 1112-5209.

Conclusion

Dr. R. Eswaramoorthi is a highly accomplished professor, researcher, and mentor, contributing significantly to the field of applied electronics and wireless communication. With a wealth of experience in academia, numerous research publications, and a passion for teaching, he continues to inspire students and researchers alike. His dedication to advancing knowledge through research and education underscores his commitment to the engineering community.

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

Scopus

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.