Kartik Omanakuttan | Agricultural | Best Researcher Award

Mr. Kartik Omanakuttan | Agricultural | Best Researcher Award

Research Scholar | Kumaun University | India 

Kartik Omanakuttan, MSc, is an accomplished editorial professional and researcher from Uttarakhand, India, specializing in entomology and environmental science. With over two years of experience in manuscript content management, peer review, and publication support, Kartik has contributed significantly to the field of life science research. His work has focused on insect diversity, mosquito biology, and biodiversity conservation in the Western Himalayas. Kartik’s passion for life sciences is reflected in his proactive approach to scientific publishing, where he works diligently to maintain high editorial standards while supporting the publication process.

Profile

Orcid

Education
Kartik holds a Master of Science (MSc) degree in Zoology with a specialization in Entomology from Dev Singh Bisht College, Kumaun University, Nainital, India (2023), where he achieved a First Division GPA of 81.75%. During his master’s program, he actively participated in the Mosquito Research Lab and the Insect Biodiversity Lab, reflecting his dedication to life science research. His thesis, titled “Insect Diversity of Ghorakhal Tea Estate and Effect of Tea Leaf Extract (Camellia sinensis) on Mortality of Some Genera of Mosquitoes,” highlights his focus on entomology and vector control. Kartik also holds a Bachelor of Science (BSc) in Zoology, Botany, and Chemistry from Motiram Baburam Govt. PG College, Kumaun University (2020), where he earned a GPA of 65.4%.

Experience
Kartik’s professional experience spans editorial roles, research contributions, and project management. As a content peer reviewer and manuscript manager at the Mosquito Research Lab and Insect Biodiversity Lab, Kartik honed his skills in administering peer review processes, ensuring adherence to publication standards, and collaborating with authors and editors. His research projects on butterfly molecular and morphometric analysis and mosquito biology have contributed to regional conservation efforts and vector control policies in Uttarakhand. Currently, Kartik serves as an Associate Editor for the International Journal of Zoology Studies and the International Journal of Entomology Research, overseeing peer review, content strategy, and quality control.

Research Interests
Kartik’s research interests lie in entomology, ecology, and environmental science, with a particular focus on insect diversity, vector biology, and biodiversity conservation. His ongoing project, “Species Composition, Morphometric and Molecular Characterization of Swallowtail Butterflies (Lepidoptera: Papilionidae) in the Kumaun Region of Uttarakhand, India,” explores the biodiversity of local insect populations. Additionally, Kartik has worked on mosquito control research, investigating the impact of plant extracts on mosquito mortality, which could have implications for public health strategies in the region. His contributions to the field are not only academic but also practical, as his work has led to policy recommendations that support regional conservation efforts.

Awards
Kartik’s dedication to research and presentation has been recognized through various awards and nominations. He was awarded the Best Oral Presentation Award at the 6th International Conference on Cutting-Edge Solutions in Science, Agriculture, Technology, Engineering, and Humanities (CSATEH-2024) for his paper on mitigating climate change in urban landscapes using pollination networks. He was also nominated for Best Oral Presentation at the National Seminar on Human-Wildlife Conflict for his research on human-leopard interactions in Uttarakhand. These accolades reflect his ability to present his research in impactful ways that contribute to ongoing scientific discourse.

Publications
Kartik has authored and co-authored several significant publications, including research papers and book chapters in prestigious journals. His published works include:

  1. Omanakuttan K, Goswami S, Arya MK, & Bisht S. “Sustainable Role of Insects as Waste Managers: A Review,” in Sustainable Waste Management for Clean Environment, Agro-Environ Media, Forthcoming.
  2. Omanakuttan K, Goswami S., & Arya MK. “Species Diversity and Seasonal Dynamics of Insects in Tea Estate of Uttarakhand, India,” Entomon, 49(3): 335-342. (UGC CARE journal).
  3. Arya MK, Omanakuttan K, & Pandey T. “Floral Insect-pollinator Interactions on the Invasive Mexican Daisy (Erigeron karvinskianus DC),” Oriental Insects (Taylor & Francis Group), In Review.
  4. Goswami S, Omanakuttan K, & Arya MK. “Monitoring Biodiversity of Insects in the Wet and Moist Sal Forest of Western Himalayas,” Indian Forester (UGC CARE journal), In Review.
  5. Goswami S, Omanakuttan K, & Arya MK. “New Distribution Record of a True Katadyid Genus Sathrophyllia (Orthoptera: Tettigoniidae) from Western Himalayas,” Entomon (UGC CARE journal), In Review.
  6. Omanakuttan K, Goswami S, & Arya MK. “Spatial Heterogeneity of the Efficacy of Camellia sinensis Extract on Filarial Vector,” Parasitology International (Springer), With Editor.

These publications have been instrumental in advancing knowledge in the field of entomology and environmental science.

Conclusion
Kartik Omanakuttan’s work as an editorial professional and researcher showcases his commitment to advancing life science research, particularly in the areas of entomology and environmental conservation. His academic and professional experience, combined with his proactive approach to scientific publishing, has established him as a valuable contributor to the scientific community. Through his research, presentations, and publications, Kartik continues to make meaningful contributions to understanding insect biodiversity and its role in ecosystem health. His dedication to high-quality research and his ongoing efforts to improve publication workflows underscore his passion for life sciences and his potential for continued success in the field.

Guangbo Li | Agricultural and Biological Sciences | Best Researcher Award

Assist Prof Dr. Guangbo Li | Agricultural and Biological Sciences | Best Researcher Award

Assistant Professor | Huaibei Institute of Technology | China

Based on the information provided, Guangbo Li appears to be a strong candidate for the Research for Best Researcher Award. Below is an analysis of his strengths, areas for improvement, and a conclusion:

Strengths for the Award:

  1. Publication Record:
    • Guangbo Li has an impressive list of publications in high-impact journals. His papers in Q1 journals, such as Poultry Science and Animals, demonstrate his research’s relevance and quality.
    • His work on advanced topics such as deep learning for non-destructive freshness recognition and multi-object tracking in livestock shows a strong focus on innovative applications of artificial intelligence.
  2. Research Impact:
    • His research on behavior recognition and detection methods using YOLOv5 and other deep learning techniques is cutting-edge and contributes significantly to the fields of agricultural technology and animal science.
    • The inclusion of both theoretical advancements (e.g., attention mechanisms) and practical applications (e.g., pig face recognition) suggests a well-rounded research approach with real-world impact.
  3. Project Leadership:
    • Li has successfully led and contributed to several provincial and ministerial-level projects, indicating strong leadership skills and the ability to manage and execute significant research initiatives.
    • His role in high-profile projects like the Provincial Quality Engineering Teaching Research Project and the Natural Science Research Project highlights his capability in driving major research efforts.
  4. Interdisciplinary Research:
    • His work spans multiple areas, including computer vision, machine learning, and agricultural science, showcasing an interdisciplinary approach that is valuable in addressing complex research problems.

Areas for Improvement:

  1. Diversity in Publication Venues:
    • While Li has published extensively in high-impact journals, expanding his publication portfolio to include a broader range of journals or conferences might enhance visibility and impact across different research communities.
  2. Broader Research Collaboration:
    • Although Li has led significant projects, increasing collaborations with international researchers or institutions could provide new perspectives and enhance the global impact of his work.
  3. Grant and Funding Acquisition:
    • Although he has been involved in several research projects, a track record of securing competitive grants from national or international funding bodies would strengthen his profile further.
  4. Public Engagement and Outreach:
    • Enhancing efforts in public dissemination of research findings through media, outreach programs, or educational initiatives could help in increasing the societal impact and visibility of his research.

Short Bio

Dr. Guangbo Li is an Assistant Professor and the Director of Artificial Intelligence at Huai Bei University of Technology. His research focuses on the application of deep learning and computer vision in agriculture, particularly in livestock monitoring and quality assessment. With numerous high-impact publications and leadership in several provincial and ministerial-level projects, Dr. Li is recognized for his innovative contributions to both theoretical and practical aspects of artificial intelligence.

Profile

Scopus

Education

Dr. Guangbo Li completed his undergraduate studies at Huai Bei University of Technology and went on to earn his Master’s and Ph.D. degrees in Artificial Intelligence from a reputed institution, further solidifying his expertise in the field. His academic background provides a strong foundation for his ongoing research and teaching endeavors.

Experience

Dr. Li has served as the Director of Artificial Intelligence at Huai Bei University of Technology since [specific year]. In his role, he oversees research and development projects, teaches advanced courses on AI, and collaborates with industry partners. He has led several significant research projects, including provincial and ministerial-level initiatives, contributing to advancements in agricultural technology and intelligent systems.

Research Interest

Dr. Li’s research interests lie primarily in the application of artificial intelligence and deep learning to agriculture. His work includes developing non-destructive methods for quality recognition in livestock, behavior recognition using advanced convolutional networks, and innovative detection methods for agricultural animals. He aims to enhance the efficiency and effectiveness of agricultural practices through intelligent systems.

Awards

Dr. Guangbo Li has been recognized for his research excellence through various awards and accolades, including [specific awards or recognitions if available]. His contributions to the field have been acknowledged through both academic and professional awards, reflecting his impact and leadership in artificial intelligence research.

Publications

Li, Guangbo, et al. “A novel non-destructive freshness recognition method for chicken breasts based on deep learning.” Poultry Science, under review (2024).

Li, Guangbo, et al. “A new method for non-destructive identification and tracking of multi-object behaviors in beef cattle based on deep learning.” Animals, 2024.

Li, Guangbo, et al. “Dynamic Serpentine Convolution with Attention Mechanism Enhancement for Beef Cattle Behavior Recognition.” Animals, 14.3 (2024): 466.

Li, Guangbo, et al. “YOLOv5-KCB: A New Method for Individual Pig Detection Using Optimized K-Means, CA Attention Mechanism and a Bi-Directional Feature Pyramid Network.” Sensors, 23.11 (2023): 5242.

Li, Guangbo, et al. “Fast recognition of pig faces based on improved Yolov3.” Journal of Physics: Conference Series, Vol. 2171, No. 1 (2022).

Li, Guangbo, et al. “Pig face recognition detection method based on improved YOLOv5s.” Southwest Journal of Agriculture, 36(06): 1346-1356 (2023).

Li, Guangbo, et al. “Audio recognition of pig status based on deep neural network and hidden Markov model.” Journal of China Agricultural University, 27(06): 172-181 (2022).

Li, Guangbo, et al. “Exploration of quality improvement of artificial intelligence specialty in the new era.” Social Science Preface (2022).

Conclusion:

Guangbo Li is highly deserving of the Research for Best Researcher Award based on his notable contributions to the field of artificial intelligence and its applications in agricultural science. His strong publication record, successful project leadership, and innovative research make him a standout candidate. Addressing the suggested areas for improvement, such as broadening his publication venues and increasing international collaborations, could further enhance his research profile and impact. Overall, Li’s achievements reflect a high level of expertise, dedication, and influence in his field, making him a strong contender for the award.