Gururaj Kori | Wireless Sensor Networks | Best Researcher Award

Dr Gururaj Kori | Wireless Sensor Networks | Best Researcher Award

Associate Professor , Biluru Gurubasava Mahaswamiji Institute of Technology , India

Dr. Gururaj S. Kori is an Associate Professor in the Department of Electronics and Communication Engineering at Biluru Gurubasava Mahaswamiji Institute of Technology, Mudhol, Karnataka, India. With over 12 years of teaching experience and 6 years of research expertise, Dr. Kori is a recognized academician specializing in Wireless Sensor Networks (WSNs), Internet of Things (IoT), and Advanced Computer Networks. He holds a Ph.D. in Electrical & Electronics Engineering Sciences from Visvesvaraya Technological University (VTU), Belagavi. Dr. Kori has guided several UG and PG students on research projects and received multiple research grants, including funding from VGST and KSCST. His research contributes to intelligent resource allocation, energy efficiency in sensor networks, and fault detection. Dr. Kori is an active member of ISTE and maintains a strong academic network, with numerous publications in reputed journals and conferences.

Profile

Scopus

Strengths for the Award

  1. Extensive Research Experience: Dr. Gururaj S. Kori has 6 years of focused research experience in the highly dynamic and impactful fields of Wireless Sensor Networks (WSNs), Internet of Things (IoT), and Advanced Computer Networks. His research contributions have significantly advanced resource management schemes, particularly in WSNs, which are critical to the future of intelligent, distributed systems.
  2. Impactful Research Publications: Dr. Kori has an impressive record of publications in reputed journals and conferences, with a solid citation index. Notable works include:
    • Resource Allocation Scheme for Wireless Sensor Networks (Computer Communications, 2023), which addresses key challenges in network optimization.
    • Agent-driven Resource Scheduling in Wireless Sensor Networks (International Journal of Information Technology, 2022), demonstrating a strong foundation in computational intelligence and network resource allocation.
    • Several conference papers that explore cutting-edge research in cognitive swarm drones and energy-efficient routing schemes.
  3. Innovative Research Topics: Dr. Kori’s work on intelligent resource allocation schemes and energy-efficient routing schemes for WSNs is not only timely but also highly relevant in the context of IoT and smart systems. His research contributes to key challenges such as energy management, resource optimization, and fault detection in wireless networks.
  4. Research Funding and Grants: Dr. Kori has successfully secured multiple research and project grants, such as the Research Grants for Scientists/Faculty (VGST) and KSCST funding for student projects, totaling substantial amounts. This highlights his ability to attract funding, a key indicator of the potential impact of his research.
  5. Student Mentorship and Supervision: He has demonstrated a strong commitment to mentoring students, guiding them in research projects related to IoT and WSNs. Some of the projects he has guided include intelligent health monitoring systems, energy-efficient systems, and fault detection algorithms for sensor networks, reflecting his deep involvement in both education and research.
  6. Strong Collaborative Work: Dr. Kori has co-authored research with a network of colleagues, including notable publications in collaboration with experts like M.S. Kakkasageri, which shows his ability to work effectively in research teams and contribute to collaborative knowledge-building.

Areas for Improvement

  1. Broader Publication Reach: While Dr. Kori has several publications, increasing his visibility in higher-impact journals or more internationally recognized conferences can further establish his research on a global platform. Engaging with top-tier journals or securing publications in multi-disciplinary outlets could further amplify his research impact.
  2. Collaboration with Industry: Although Dr. Kori’s work in WSNs and IoT is highly relevant to practical applications, an increase in industry collaboration could lead to even more practical, real-world implementations of his research. This could open avenues for product development or large-scale deployments, creating further impact beyond academia.
  3. Interdisciplinary Research: Exploring interdisciplinary avenues, such as the integration of artificial intelligence (AI), machine learning (ML), or blockchain technology in IoT systems or WSNs, could lead to more innovative and forward-thinking solutions. A broader exploration of these domains could enhance the depth and novelty of his research.
  4. Research Visibility & Networking: While Dr. Kori has an established presence in academic conferences, he could further improve his engagement with international research networks, which would allow him to collaborate with researchers across different regions and disciplines. Presenting his work at prominent international platforms and engaging with a wider global community could help increase citations and expand his professional network.

Education 

Dr. Gururaj S. Kori completed his Ph.D. in Electrical & Electronics Engineering Sciences in 2023 from Visvesvaraya Technological University (VTU), Belagavi, specializing in intelligent resource management schemes for Wireless Sensor Networks (WSNs). Prior to this, he earned his M.Tech. in Digital Communications (2014) and B.E. in Electronics & Communication Engineering (2011), both from Basaveshwar Engineering College, Bagalkot, affiliated with VTU. Dr. Kori’s academic journey has been focused on energy-efficient communication, resource scheduling, and network optimization in wireless systems. His educational foundation, combined with hands-on research, has shaped his expertise in IoT, wireless networks, and computational intelligence. He continuously enhances his knowledge through various professional memberships, including ISTE and maintains an active presence in global research networks, ensuring his work stays at the cutting edge of technological advancements in communication systems.

Experience 

Dr. Gururaj S. Kori has over 12 years of teaching experience and 6 years of dedicated research experience. He currently serves as an Associate Professor in the Department of Electronics and Communication Engineering at Biluru Gurubasava Mahaswamiji Institute of Technology, Mudhol, Karnataka, where he teaches subjects like Wireless Communication, IoT, Satellite Communications, Computer Networks, and Electronics Circuits. Dr. Kori has mentored numerous undergraduate and postgraduate students, guiding them in research projects related to intelligent systems, resource management, and wireless networks. He has successfully secured research grants, including VGST and KSCST funding for research projects and student initiatives. His research contributions span energy-efficient routing schemes, fault detection in WSNs, and advanced computational techniques. His expertise in resource allocation, IoT applications, and energy-efficient communication makes him a respected academic figure in the field of communication engineering and network optimization.

Awards and Honors 

Dr. Gururaj S. Kori has earned recognition for his impactful work in Wireless Sensor Networks (WSNs), IoT, and network optimization. He has received multiple research grants from esteemed organizations, such as the Vision Group on Science and Technology (VGST) and the Karnataka State Council for Science and Technology (KSCST). These grants supported his research in intelligent resource management and energy-efficient systems in wireless sensor networks. In 2023-2024, he secured a grant for the project “Intelligent Critical Data Aggregation Scheme for E-Health Monitoring” and received recognition for guiding projects in structural health monitoring and electric vehicle speed regulation. Dr. Kori’s dedication to education and research is further demonstrated by his consistent contributions to international conferences, including IEEE events. He is also an active member of ISTE and holds multiple academic identities, such as Vidwan, Scopus, and ORCID for enhanced visibility in research networks.

Research Focus 

Dr. Gururaj S. Kori’s research primarily focuses on Wireless Sensor Networks (WSNs) and Internet of Things (IoT), with a strong emphasis on resource allocation, energy-efficient communication, and network optimization. His work aims to design and develop intelligent resource management schemes to enhance the efficiency and sustainability of WSNs, particularly in the context of smart cities, health monitoring systems, and structural health monitoring. He is passionate about improving network scalability, fault tolerance, and resource scheduling using computational intelligence techniques like fuzzy logic and machine learning. Dr. Kori also explores novel energy-efficient routing schemes to reduce power consumption and enhance data transmission reliability. His interdisciplinary research integrates areas of multimedia communication, wireless networks, and computational intelligence, with the goal of creating innovative solutions to complex network challenges. His work has broad applications in IoT, smart systems, and real-time monitoring systems.

Publications Titles

  • Cognitive Swarm Drones Attack Model: A Grey Wolf Optimization Approach
  • Classification and Regression Tree (CART) based resource allocation scheme for Wireless Sensor Networks
  • Agent-driven resource scheduling in wireless sensor networks: fuzzy approach
  • Resource Allocation Scheme for Wireless Sensor Networks: Machine Learning Approach
  • Computational intelligent techniques for resource management schemes in wireless sensor networks
  • Intelligent Resource Identification Scheme for Wireless Sensor Networks
  • Intelligent Agent based Resource Scheduling in Wireless Sensor Networks
  • Intelligent routing for hybrid communication in VANETs
  • Energy aware multipath routing scheme for wireless sensor Networks
  • BDI agent based routing scheme in VANETs

Conclusion

Dr. Gururaj S. Kori has demonstrated impressive research aptitude, particularly in the areas of Wireless Sensor Networks, Internet of Things, and Advanced Computer Networks. His innovative contributions in resource management schemes and energy-efficient solutions for WSNs, along with his successful grant applications and strong mentoring, make him a strong contender for the Best Researcher Award.Strengths such as his impactful publications, research funding, and student mentorship make him a noteworthy candidate for this honor. However, areas like broader industry collaboration, enhanced publication visibility, and interdisciplinary research could further elevate his research profile.In conclusion, Dr. Kori’s solid research foundation, along with the potential for continued growth and increased visibility, positions him as a valuable asset to the academic and research community.

 

 

Sareer Ul Amin – Computer Science and Engineering – Excellence in Research

Sareer Ul Amin - Computer Science and Engineering - Excellence in Research

Chung Ang University - South Korea

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Sareer Ul Amin embarked on his academic journey at Islamia College Peshawar (ICP), Pakistan, where he pursued a Bachelor of Science in Computer Science, graduating with distinction. His academic excellence continued as he pursued a Master's degree at Chung-Ang University (CAU) in Seoul, Republic of Korea, achieving an outstanding CGPA of 4.18/4.5.

PROFESSIONAL ENDEAVORS

Sareer Ul Amin's professional journey is marked by significant contributions to the field of Computer Science and Engineering. He served as a Research Assistant at the Graphics Realization Lab, CAU, contributing to various industrial and research projects. Prior to this, he held the role of Lab Coordinator at the Digital Image Processing Lab, ICP, where he effectively managed projects and mentored students.

CONTRIBUTIONS AND RESEARCH FOCUS

Sareer Ul Amin's research focus lies in AI & Computer Vision, with a specialization in Advanced Machine Learning, Deep Learning, and Anomaly Detection in Surveillance Video. His research contributions include the development of efficient strategies for anomaly detection, active learning techniques for data annotation, and robust hand gesture recognition systems. His work has been published in esteemed journals and conferences, showcasing his expertise in the field.

IMPACT AND INFLUENCE

Sareer Ul Amin's research findings have had a significant impact on the field of Computer Science and Engineering, particularly in the areas of anomaly detection, image analysis, and machine learning. His publications have garnered citations and recognition, highlighting the relevance and influence of his research contributions in academia and industry.

ACADEMIC CITES

Sareer Ul Amin's research publications have been well-received in the academic community, with his work cited in reputable journals and conferences. His contributions to the development of efficient deep learning models and active learning techniques have advanced the state-of-the-art in computer vision and machine learning.

LEGACY AND FUTURE CONTRIBUTIONS

Sareer Ul Amin's legacy in the field of Computer Science and Engineering is characterized by his dedication to research excellence and innovation. His future contributions are poised to further advance the frontier of AI and Computer Vision, with a focus on addressing complex challenges and developing practical solutions for real-world applications.

NOTABLE PUBLICATION

An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.  2023 (6)

Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach.  2024