Maria Esmeralda Cuzco Cruz | Agriculture | Best Researcher Award

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Prof. Maria Esmeralda Cuzco Cruz | Agriculture | Best Researcher Award 

Prof. Maria Esmeralda Cuzco Cruz | Agriculture | Master at University of Guayaquil | Ecuador

Prof. Maria Esmeralda Cuzco Cruz is a distinguished scholar and researcher in the field of Agricultural Sciences, with a particular focus on Plant Protection, Entomology, Agroecology, and Sustainable Crop Systems. She earned her Ph.D. in Protected Agriculture (Plant Protection) from the University of Almería, Spain, where her doctoral research centered on biological pest control and greenhouse crop management. Prof. Cuzco Cruz also holds master’s degrees in Sanitation and Plant Production from the Polytechnic University of Valencia and in Geomatics, Remote Sensing, and Spatial Models for Forest Management from the University of Córdoba, Spain, complementing her undergraduate degree in Agronomic Engineering from the Catholic University of Santiago de Guayaquil, Ecuador. Professionally, she has served as a Professor and Researcher at leading institutions such as the University of Guayaquil, University Agraria del Ecuador, and Technological University ECOTEC, where she has contributed to both academic instruction and research leadership. Her research interests include biological control of insect pests, pest ecology in greenhouse systems, biodiversity assessment, and the integration of IoT and remote sensing technologies in sustainable agriculture. She is proficient in molecular and morphological pest identification, experimental design, statistical analysis, and spatial modeling techniques. Throughout her career, Prof. Cuzco Cruz has received multiple academic honors, including recognition for Outstanding Research in Agricultural Innovation and leadership in Sustainable Agroecological Development Projects. Her scholarly contributions are reflected in numerous peer-reviewed journal articles indexed in Scopus and Google Scholar, which address emerging challenges in pest management, biodiversity conservation, and climate-resilient agriculture. Prof. Maria Esmeralda Cuzco Cruz continues to promote scientific excellence through interdisciplinary collaborations and innovative approaches that strengthen sustainable agriculture and environmental stewardship for future generations.

Profile: Google Scholar

Featured Publications 

  1. Cuzco Cruz, M. E., Bustos, J. P. Q., Cabrera, W. G. M., & Sánchez, A. J. L. (2022). Molecular and morphological characterization of the genus Pythium from forest species. RECIAMUC, 6(2), 375–387. 

  2. Cuzco Cruz, M. E. (2014). Development of rearing methods for Hambletonia pseudococcina (Hymenoptera: Encyrtidae) and its efficacy in the biological control of Dysmicoccus texensis (Hemiptera: Pseudococcidae).

  3. Sánchez, A. J. L., Sornoza, J. S. V., Cruz, M. E. C., & Bustos, J. P. Q. (2022). Evaluation of zootechnical parameters of Oreochromis spp fed with 8% corn FVH and ascorbic acid in earthen ponds. Ciencia Latina Revista Científica Multidisciplinar, 6(5), 5056–5070.

  4. Cuzco, M. E., Vera, A. M., Quiñonez, J. P., Mera, L. F., & Lao, M. T. (2025). Influence of a greenhouse adapted to the Ecuadorian coastal climate on pest dynamics in tomato crops. Horticulturae, 11(11), 1279. 

  5. Cuzco, M., Santos, D., Vivas, M., Cotto, M., Vera, A., & Quito, E. (2024). Identification, spatial distribution and report of new records of pest and beneficial insect species in Ecuador from Samanea saman trees. African Journal of Biological Sciences, 6(Si4), 5458–5469.

  6. Rolando, L., Paulino, M. P., Astudillo-Astudillo, E. A., Cruz, M. E. C., et al. (2023). The impact of agroecological practices on biodiversity and agricultural productivity. Migration Letters, 20(S3), 1282–1294. 

  7. Prada Herrera, J. C., Bolaños Contreras, C. C., Cano Legua, F. E., & Cruz, M. E. C. (2023). Strategies for microbiological control in food: Microbiological control, agronomy, and environmental conservation. Journal of Namibian Studies, 33. 

 

Prof. Qirong Mao | Smart Agriculture | Best Researcher Award

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Prof. Qirong Mao | Smart Agriculture | Best Researcher Award

Prof. Qirong Mao | Smart Agriculture – Dean at Jiangsu University, China

Prof. Qirong Mao is a distinguished researcher and a full professor in the Department of Computer Science at Jiangsu University, specializing in artificial intelligence, multimedia, and human-computer interaction. His work has revolutionized the fields of speech emotion recognition, facial expression analysis, and deep learning. Throughout his career, Prof. Mao has been instrumental in developing advanced algorithms and neural network architectures, such as convolutional neural networks (CNNs) and transformers, to improve human-centered AI technologies. He has published extensively in highly respected journals and conferences, making significant contributions to both theoretical and applied aspects of his field.

Profile:

Scopus | Google Scholar

Education:

Prof. Mao completed his Bachelor’s, Master’s, and Ph.D. degrees in Computer Science and Engineering, with a focus on artificial intelligence and multimedia processing, at leading institutions. His strong academic foundation set the stage for his groundbreaking research in emotion recognition systems and intelligent algorithms. Prof. Mao’s education equipped him with a deep understanding of computational methodologies, which he has since expanded through years of hands-on research and innovation in his field.

Experience:

Prof. Mao has accumulated decades of academic and industrial experience. He began his career at Jiangsu University, where he has grown to become a full professor. In his tenure, he has led numerous research projects and worked with top-tier scientists, focusing on real-world applications of AI and multimedia signal processing. Prof. Mao’s expertise has been sought by various prestigious conferences and journals, where he frequently serves as a reviewer and committee member. His leadership in several funded projects has helped advance technologies in areas such as speech emotion recognition, facial expression analysis, and affective computing. His collaborative efforts with industry partners demonstrate his ability to bridge the gap between academia and real-world applications.

Research Interests:

Prof. Mao’s research interests are at the intersection of artificial intelligence, machine learning, and multimedia systems. Specifically, he focuses on speech emotion recognition, facial expression recognition, multimodal emotion detection, and deep learning models for human-centered computing. His work involves the application of advanced neural networks, such as convolutional neural networks (CNNs) and transformers, to analyze human emotions from speech and facial cues. Prof. Mao is also deeply involved in cross-disciplinary research that aims to improve human-computer interaction and is a pioneer in the development of domain adaptation techniques for emotion recognition in diverse environments.

Awards:

Prof. Mao’s contributions to the field of artificial intelligence and multimedia processing have earned him numerous accolades. He has been recognized for his groundbreaking work in speech and facial expression recognition, with his research being widely cited across the academic community. His most notable achievements include his key publications, such as the 2014 paper on learning salient features for speech emotion recognition, which garnered over 707 citations. In addition to his publication success, Prof. Mao has received multiple research grants and funding awards for his innovative projects in AI and emotion recognition.

Publications:

Prof. Mao’s research has been widely published in top-tier journals and conference proceedings. Here are some of his key publications:

  1. “Learning salient features for speech emotion recognition using convolutional neural networks” (IEEE Transactions on Multimedia, 2014)
    • Cited by: 707
    • 📚 Focus: Developed CNN-based models for emotion recognition from speech.
  2. “Speech emotion recognition using CNN” (ACM International Conference on Multimedia, 2014)
    • Cited by: 452
    • 📚 Focus: Focused on CNN techniques for recognizing emotions from speech.
  3. “Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation” (arXiv preprint, 2020)
    • Cited by: 360
    • 📚 Focus: Introduced dual-path transformer networks for speech separation tasks.
  4. “Joint pose and expression modeling for facial expression recognition” (IEEE Conference on Computer Vision and Pattern Recognition, 2018)
    • Cited by: 307
    • 📚 Focus: Proposed a joint modeling approach for facial expression and pose.
  5. “A neural-AdaBoost based facial expression recognition system” (Expert Systems with Applications, 2014)
    • Cited by: 195
    • 📚 Focus: Combined neural networks and AdaBoost for facial expression recognition.
  6. “Geometry guided pose-invariant facial expression recognition” (IEEE Transactions on Image Processing, 2020)
    • Cited by: 132
    • 📚 Focus: Addressed pose-invariant challenges in facial expression recognition.
  7. “Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition” (Pattern Recognition, 2022)
    • Cited by: 105
    • 📚 Focus: Focused on refining features for improved micro-expression recognition.

Conclusion:

Prof. Qirong Mao is a highly deserving candidate for the Best Researcher Award due to his groundbreaking research and lasting impact on the fields of AI, emotion recognition, and multimedia signal processing. His innovative approaches using CNNs, transformers, and other deep learning models have set new standards in speech and facial emotion recognition, making him a thought leader in the AI community. With a strong record of high-impact publications, an impressive citation count, and recognition from his peers, Prof. Mao’s research not only advances academic knowledge but also holds immense potential for real-world applications. His contributions to the development of human-computer interaction systems and emotion-aware technologies position him as a leader in the AI space, making him an excellent nominee for this prestigious award.

 

 

 

 

Yunchao Li | Biochar utilization | Best Researcher Award

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Assoc. Prof. Dr. Yunchao Li | Biochar utilization | Best Researcher Award

Assoc. Prof. Dr. Yunchao Li | Biochar utilization-Teacher at Jiliang University, China

Dr. Yunchao Li is an esteemed Associate Professor at the College of Energy, Environment, and Safety Engineering at China Jiliang University. His pioneering research in biomass pyrolysis and the high-value utilization of biochar has significantly contributed to sustainable energy development. Recognized among the top 2% of scientists worldwide by Stanford University, Dr. Li has gained national and international acclaim for his innovative contributions to renewable energy technologies. His extensive research experience, numerous publications, and patents reflect his dedication to advancing the field of thermal engineering and carbon-negative technologies.

Profile:

Scopus

Education:

Dr. Li pursued his higher education at Huazhong University of Science and Technology, where he obtained his Ph.D. in Thermal Engineering. This rigorous program, integrating master’s and doctoral studies, equipped him with a deep understanding of thermal energy conversion, biochar applications, and carbon sequestration. Prior to his Ph.D., he earned a Bachelor of Science in Thermal Energy and Power Engineering from the same institution. His strong academic foundation has enabled him to make significant advancements in energy sustainability and engineering applications.

Experience:

With a career spanning academic research and industry practice, Dr. Li has held key positions that have enriched his expertise in energy and environmental engineering. As an Associate Professor at China Jiliang University since 2021, he has been instrumental in leading pioneering research projects. Prior to this, he completed a postdoctoral fellowship at Zhejiang University, focusing on biochar-based materials for sustainable energy storage. His experience as an engineer at Huadian Electric Power Research Institute further strengthened his applied research skills in energy technology and industrial applications. His multifaceted experience underscores his ability to bridge academia and industry for practical energy solutions.

Research Interests:

Dr. Li’s research revolves around biomass pyrolysis and the high-value utilization of biochar. He focuses on developing advanced carbon materials for energy storage, CO2 capture, and supercapacitor applications. His work integrates molecular simulations, experimental studies, and material characterization to enhance biochar functionality. Additionally, his research explores innovative strategies for sustainable waste management, aiming to transform biomass into valuable resources for clean energy applications. His contributions play a crucial role in developing carbon-negative technologies, addressing climate change, and improving energy efficiency.

Awards and Honors:

Dr. Li has received numerous accolades for his outstanding contributions to research and innovation. He has been featured in Stanford University’s “Top 2% Scientists” list for 2023 and 2024, highlighting his global impact. His excellence in engineering research has been recognized through prestigious awards, including the Second Class Prize of the Chinese Society of Engineering Thermophysics for his work on biomass pyrolysis for hydrogen-rich gas production. Additionally, he was selected for the first “258 Training Program” at China Jiliang University and recognized as a high-level talent in Hangzhou. These honors underscore his leadership and influence in the field of energy engineering.

Publications:

📚 Dr. Li has published over 40 papers in leading scientific journals. Selected notable publications include:

  1. Ao Song, Yunchao Li, et al. (2024). Recent progress in carbon-based composite materials for sodium-ion batteries. Green Energy & Environment. 🔬
  2. Hongxian Li, Minghui Tang, Yunchao Li, et al. (2024). Molecular simulation for heteroatom-doped biochar in CO2 capture. Chemical Engineering Journal. 🌍
  3. Yunchao Li, Yangkai Sun, Hanming Li, et al. (2023). High nitrogen-oxygen doped porous carbon for supercapacitors. Energy. ⚡
  4. Yan Ding, Yunchao Li, et al. (2021). In-situ nitrogen-doped carbon via pyrolysis of bean pulp for supercapacitors. Energy. 🔥
  5. Yunchao Li, Bo Xing, Yan Ding, et al. (2020). Critical review of biochar production via selective pyrolysis. Bioresource Technology. 🌱

Cited by articles available upon request.

Conclusion:

Dr. Yunchao Li’s remarkable contributions to biomass pyrolysis and carbon-negative technologies make him an exemplary candidate for the Best Researcher Award. His extensive research output, significant academic impact, and recognition through prestigious awards highlight his dedication to advancing sustainable energy solutions. His expertise bridges theoretical research and practical applications, positioning him as a leading figure in the field of energy engineering. With a continued focus on innovation and interdisciplinary collaboration, Dr. Li is set to make even greater strides in the realm of sustainable energy and environmental engineering.

Kartik Omanakuttan | Agricultural | Best Researcher Award

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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

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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.