Zuzana Slezáková | Nursing and management of nursing | Best Researcher Award

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Prof. Dr. Zuzana Slezáková | Nursing and management of nursing | Best Researcher Award

Prof. Dr. Zuzana Slezáková, Faculty of Nursing and Professional Health Studies Slovak Medical University in Bratislava, Slovakia

Professor Zuzana Slezáková is a prominent leader in nursing education and healthcare management in Slovakia. As Dean of the Faculty of Nursing and Professional Health Studies at the Slovak Medical University in Bratislava, she has played a pivotal role in advancing academic nursing programs at both Master’s and Doctoral levels. With over four decades in the profession, she has evolved from practicing nurse to esteemed professor, academic leader, and policy advisor. Her work emphasizes quality assurance, patient safety, and evidence-based nursing practice. She has authored 17 peer-reviewed publications, contributed to international health conferences, and served on multiple editorial boards and accreditation bodies. Prof. Slezáková is also a vital liaison with the Slovak Accreditation Agency and chairs several national committees that shape vocational and higher education curricula. Her influence continues to elevate nursing science, management, and interdisciplinary collaboration, both nationally and internationally.

🔷Profiles

🎓 Education 

Professor Zuzana Slezáková has an extensive academic background in nursing and healthcare management. She earned her nursing qualification (1978–1982) and a Master’s degree in nursing (1987–1991), which laid the foundation for her professional journey. Her specialization in internal medicine nursing (1996–1999) was followed by doctoral studies, earning her a PhDr. in Nursing (2001–2004). In 2003–2004, she pursued specialist training in Public Health Management, further strengthening her leadership skills. She achieved the academic title of Associate Professor in 2008 and was promoted to full Professor in Nursing in 2018. Her qualifications reflect a lifelong commitment to academic excellence, leadership development, and health education. Prof. Slezáková continues to influence nursing curricula design and national educational standards while fostering research-based practices and student mentoring.

💼 Experience 

Professor Zuzana Slezáková has over 40 years of cumulative experience in nursing, academia, and leadership. She began her career as a clinical nurse, progressing into teaching and academic leadership roles. Currently serving as Dean at the Slovak Medical University’s Faculty of Nursing and Professional Health Studies, she also heads the Department of Nursing Theory and Management. She is the responsible authority for implementing and quality-assuring Master’s and PhD nursing programs and liaises with the Slovak Accreditation Agency. Her national influence includes roles as chairperson and member in government advisory councils, accreditation commissions, and examination boards. She has served as Secretary and Member of the Accreditation Commission for the Ministry of Health and Chair of the Committee for Nursing Professor Appointments. Prof. Slezáková’s contributions extend beyond academia into shaping national healthcare education policies, making her a cornerstone in Slovakia’s nursing education system.

🔬 Research Focus 

Professor Slezáková’s research is rooted in nursing science, with a strong focus on nursing management, patient safety, public health education, and tele-nursing. She explores innovative nursing strategies that improve patient outcomes, health literacy, and care quality. Her most notable studies include the impact of tele-education post-cesarean care, leadership during COVID-19, and the assessment of coronary disease awareness using CADE-Q II tools. She also contributes to interdisciplinary studies, such as those investigating adolescent nutrition, microplastic exposure in infants, and vitamin deficiencies in youth. As a principal academic figure, she champions the integration of evidence-based practices into curricula and national healthcare strategies. Her work consistently emphasizes the nurse’s role in secondary prevention and personalized care, aiming to bridge knowledge gaps and improve patient engagement.

📚 Publication Top Notes

1. The impact of early mobilization through a tele-education program on health condition of mothers after caesarean section
Journal: Pielęgniarstwo XXI wieku (2024-12-27)
DOI: 10.2478/pielxxiw-2024-0041
Authors: Ľubica Libová et al., incl. Zuzana Slezáková
Summary: This study demonstrated how tele-education improves postnatal recovery and mobility in mothers after cesarean delivery, highlighting the benefits of digital nursing interventions.

2. An Overview of the Possible Exposure of Infants to Microplastics
Journal: Life (2024-03-12)
DOI: 10.3390/life14030371
Summary: Investigated the emerging issue of microplastic exposure in infants, offering insights into environmental health and the role of nursing in preventive care.

3. Impact of Leadership Style and Crisis Skills… COVID-19 Pandemic
Journal: Zdravotnicke Listy (2023)
EID: 2-s2.0-85161995123
Summary: Assessed how nurse managers’ leadership styles influenced work climate during the pandemic, underlining the need for strategic leadership training.

4. Possibilities of Using the CADE-Q II Questionnaire in Coronary Syndrome
Journal: Zdravotnicke Listy (2023)
EID: 2-s2.0-85174426067
Summary: Highlighted the potential of CADE-Q II to identify knowledge gaps in patients, supporting improved education strategies in secondary prevention.

5. Nursing care of a patient with a diabetic foot
Book: Diabetic Foot – A Vascular Surgeon’s Perspective (2023)
ISBN: 9798891130654
Summary: Detailed case-based nursing practices in diabetic foot care with a multidisciplinary outlook.

6. The relationship between unpleasant experiences… anesthesia
Journal: Kontakt (2023)
DOI: 10.32725/kont.2023.027
Summary: Explored correlations between anesthesia-related distress and patient demographics, advocating for improved perioperative communication.

7. Determination of Vitamin D, Iron… Adolescents
Journal: Central European Journal of Public Health (2022)
DOI: 10.21101/cejph.a7048
Summary: Investigated dietary effects on vitamin and mineral levels in adolescents, with recommendations for public health interventions.

8. Implementation of telenursing in the Slovak Republic
Journal: Pielegniarstwo XXI Wieku (2021)
DOI: 10.2478/pielxxiw-2021-0028
Summary: Showcased successful integration of telenursing, establishing a blueprint for other health systems.

Conclusion

Professor Zuzana Slezáková exemplifies the qualities of a dedicated, impactful, and visionary academic leader in nursing research. Her contributions span education, policy, publication, and healthcare service improvement, with a proven track record in leading national reforms and producing patient-centered research.

Kai Zhang | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Kai Zhang | Mechanical Engineering | Best Researcher Award

Associate Professor, Shenyang University of Chemical Technology, China

ZHANG Kai is an accomplished Associate Professor at Shenyang University of Chemical Technology, specializing in artificial intelligence algorithms, robotics, and mechanical system optimization. With a doctoral degree in mechanical engineering, he has made significant contributions to intelligent fault diagnosis, machine vision, and the reliability of rotating machinery. Over the past five years, he has authored more than 30 academic papers, including 9 SCI-indexed and 11 EI-indexed articles, with 7 appearing in top-tier JCR Q1 journals. Dr. Zhang has led a sub-project under China’s National Key R&D Program and participated in several National Natural Science Foundation initiatives. His innovative research in adaptive optimization algorithms has also resulted in four patents. Committed to academic excellence and engineering innovation, Dr. Zhang continues to mentor students and lead pioneering research that bridges AI and mechanical design. His work enhances predictive maintenance, system reliability, and intelligent manufacturing technologies.

Profile

Scopus

Education 

ZHANG Kai earned his Doctorate in Mechanical Engineering, focusing on intelligent systems and optimization algorithms. His academic foundation is grounded in multidisciplinary studies that bridge traditional mechanical principles with cutting-edge computer science, especially in artificial intelligence and robotics. During his postgraduate years, he explored complex optimization problems, laying the groundwork for future research in algorithm development and machine learning applications in mechanical systems. His doctoral thesis was recognized for its innovation in adaptive optimization strategies for mechanism design. Dr. Zhang’s education equipped him with both theoretical acumen and practical engineering problem-solving skills, which he has since applied across a range of high-impact projects in academia and applied research. His passion for teaching and mentoring has also led to the development of curricula that integrate AI tools into traditional mechanical engineering coursework.

Experience 

Currently serving as Associate Professor at the Shenyang University of Chemical Technology, ZHANG Kai has over a decade of experience in academia and research. He has led and participated in multiple national-level projects, including a key sub-project under the National Key Research and Development Program. Over the past five years, he has published more than 30 peer-reviewed papers, many of which have been recognized in prestigious SCI and EI journals. He specializes in intelligent fault diagnosis for rotating machinery, differential evolution algorithms, and machine vision systems. His engineering expertise extends to vibration analysis and online health monitoring technologies. Dr. Zhang is also a key contributor to various academic initiatives aimed at improving the integration of AI within traditional mechanical systems. He is deeply involved in supervising graduate students and promoting interdisciplinary research within his department.

Research Focus

ZHANG Kai’s research lies at the intersection of mechanical engineering and artificial intelligence. His primary interests include the development of adaptive evolutionary algorithms, fault diagnosis techniques for rotating machinery, and intelligent machine vision systems. He applies AI-based solutions such as particle swarm optimization and differential evolution to solve multi-constraint mechanical design problems. His studies have enhanced the accuracy and efficiency of vibration monitoring, online health diagnostics, and fault tolerance systems in industrial equipment. With a growing emphasis on smart manufacturing, Dr. Zhang aims to bridge theoretical algorithm development with real-world mechanical applications. His research has far-reaching implications in industrial automation, robotics, and mechanical system reliability. He also works on improving the robustness and flexibility of mechanical optimization through novel algorithmic approaches. As industries increasingly seek to implement predictive maintenance and automation, his research offers critical tools and strategies for system sustainability and innovation.

Publication Top Notes

  1. Zhang K, Yang M, Zhang Y, et al.
    Title: Error feedback method (EFM) based dimension synthesis optimisation for four-bar linkage mechanism
    Journal: Applied Soft Computing, 2023: 110424
    Summary: Introduced an innovative error feedback method to enhance dimension synthesis in mechanical linkages, improving mechanical efficiency through intelligent correction algorithms.

  2. Kai Zhang, Eryu Zhu, et al.
    Title: A multi-fault diagnosis method for rolling bearings
    Journal: Signal, Image and Video Processing, 2024, 18: 8413-8426
    Summary: Developed a multi-fault detection model using signal processing and AI classification to improve maintenance systems in rotating equipment.

  3. Kai Zhang, Jiahao Zhu, Yimin Zhang, Qiujun Huang
    Title: Optimization method for linear constraint problems
    Journal: Journal of Computational Science, 2021, 51: 101315
    Summary: Proposed a new optimization framework for solving mechanical design issues with linear constraints using a hybrid computational approach.

Conclusion:

Associate Professor ZHANG Kai’s academic output, innovative methodologies, and active leadership in key research initiatives position him as a highly deserving candidate for the Best Researcher Award. His contributions significantly advance knowledge in AI-based mechanical systems and engineering reliability. Recognizing his work through this award would not only honor his individual achievements but also encourage further interdisciplinary research within his field.

Meng Duan | Engineering and Technology | Best Researcher Award

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Dr. Meng Duan | Engineering and Technology | Best Researcher Award

Engineer, Water Resources Research Institute of Inner Mongolia Autonomous Region, China

Meng Duan is a dedicated engineer and researcher in the field of agricultural water resource management, currently working at the Water Resources Research Institute of Inner Mongolia Autonomous Region. He earned his Ph.D. in Water Conservancy Engineering from China Agricultural University and has since made significant contributions to the study of evapotranspiration, water-carbon flux, and crop growth modeling. His research efforts have directly influenced water-saving irrigation strategies and sustainable agriculture in arid regions of China. With funding from the National Natural Science Foundation of China (NSFC) and collaborations with top institutions, Duan’s work bridges scientific innovation and field application. He has published widely in SCI-indexed journals, authored a highly regarded monograph, and holds a national patent related to crop canopy structure modeling. Recognized as an NSFC Excellent Young Scholar, Meng Duan continues to advance integrated water and agricultural solutions for regional and national impact.

Profile

Orcid

Education

Meng Duan received his doctoral degree (Ph.D.) in Water Conservancy Engineering from China Agricultural University, one of China’s premier agricultural and environmental research institutions. His doctoral studies focused on integrated water resource management and crop modeling, particularly in arid and semi-arid regions. During his academic journey, he conducted extensive research in the Heihe River Basin—a critical area for understanding water transformation and oasis agriculture. His thesis emphasized multi-process coupling mechanisms within soil-plant-atmosphere systems. He complemented his formal education with practical research experiences in national labs and collaborated with experts from the National Key Laboratory of Watershed Water Cycle Simulation. His strong academic foundation laid the groundwork for his future roles in applied water resource engineering, interdisciplinary modeling, and sustainable irrigation systems. With robust training in both theoretical frameworks and computational modeling techniques, Duan emerged from his education well-prepared to tackle complex hydrological and agricultural challenges.

Professional Experience 

Meng Duan currently serves as an Engineer at the Water Resources Research Institute of Inner Mongolia Autonomous Region. In this capacity, he has designed and implemented advanced models for evapotranspiration estimation, crop growth behavior, and water-carbon flux quantification. His professional track record includes leadership in several prestigious national-level research projects funded by the NSFC and the National Key Laboratory. Between 2015 and 2025, Duan contributed to over six major multi-year research programs, including work on scalable evapotranspiration models and the development of efficient irrigation systems tailored to China’s arid agricultural zones. Beyond research, he has played a crucial role in policy consultation for water use regulation and agronomic strategy optimization in Inner Mongolia. His technical contributions span data simulation, system integration, and predictive analytics for agricultural productivity. Through collaboration with cross-disciplinary teams and institutions, Duan has gained a reputation as a practical and visionary water resource engineer.

Research Focus 

Meng Duan’s research is centered on sustainable agricultural water management in arid and semi-arid regions. He specializes in evapotranspiration modeling, water-carbon flux analysis, and crop growth simulation. His work bridges the theoretical and practical realms by developing tools and methods that improve irrigation efficiency and crop productivity. A major focus of his research is understanding the dynamic interactions between soil, mulch, plant, and atmospheric systems, especially under water-stressed conditions. He has developed innovative models to link canopy structure with radiation efficiency, significantly boosting maize yields and optimizing water use. With NSFC-funded support, Duan’s research has resulted in tangible irrigation strategies that reduce water usage by up to 25% in Inner Mongolia. He continues to explore how remote sensing, environmental physics, and data-driven modeling can synergize to support food security and ecological resilience in vulnerable agricultural zones.

Publication Top Notes

  1. Meng Duan, Baozhong Zhang. (2025).
    Title: Modeling the Impact of Canopy Structure on Crop Water Use Efficiency in Arid Zones
    Journal: Agronomy
    Indexing: SCI, IF = 3.7, CAS II
    Summary: This study explores how variations in canopy structure affect evapotranspiration and crop yield, providing a model for improving irrigation practices in drylands.

Conclusion:

 Meng Duan stands out as a highly competent and impactful early-career researcher, especially in the specialized field of agricultural water resources engineering. His research contributes significantly to sustainable water   management, food security, and agro-ecological modeling in arid regions of China.

Mingyue Cui | Computer Science and Technology | Best Researcher Award

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Mr. Mingyue Cui | Computer Science and Technology | Best Researcher Award

Dr. Mingyue Cui is a pioneering computer scientist whose multidisciplinary work bridges intelligent vehicles, biomedical computing, and real-time embedded systems. He earned his Ph.D. in Computer Science and Engineering from Sun Yat-sen University, with research affiliations at the Technical University of Munich. His scholarly journey reflects deep engagement in applied AI, autonomous driving, edge computing, and sensor data processing. Dr. Cui has authored over 20 high-impact papers in IEEE and AAAI venues and holds several national patents in autonomous systems and LiDAR compression. His innovation has been recognized through prestigious awards, including top honors in robotics and AI design competitions in China. Dr. Cui continues to advance research in scalable, low-cost AI for smart healthcare and mobility, driving collaborations across academia and industry.

Profiles

Google Scholar

Scopus

🎓 Education

Mingyue Cui holds a Ph.D. in Computer Science and Engineering from Sun Yat-sen University (2018–2022), with research conducted in partnership with the Technical University of Munich. His doctoral work, supervised by Prof. Kai Huang, focused on intelligent connected vehicles, emphasizing autonomous driving systems and biomedical signal processing. Prior to this, he completed a Master’s degree in Software Engineering (2015–2017) from the same university, authoring a thesis on real-time scene flow for embedded systems. His Bachelor’s degree in Software Engineering (2010–2014) was obtained from Chongqing Normal University, where he specialized in embedded software engineering. His academic training spans advanced topics like optimization theory, computational complexity, machine learning, and embedded systems.

🧪 Experience

Dr. Mingyue Cui has built a robust research profile with a focus on real-world applications of AI and embedded systems. His Ph.D. thesis explored intelligent connected vehicles, targeting the challenges of real-time computation and network reliability in autonomous driving. He led pioneering efforts in algorithm parallelization, edge computing for autonomous services, and quality of service assurance using low-cost embedded platforms. His current research has expanded to biomedical domains, particularly ECG signal processing and cardiovascular disease diagnostics. With over 20 academic publications and patents, Cui collaborates extensively with Prof. Kai Huang and research groups at both Sun Yat-sen University and the Technical University of Munich. In addition to his academic output, he actively contributes to competitive research through international robotics and AI competitions, where he has earned multiple first and second-place awards.

🏆 Awards and Honors 

Dr. Mingyue Cui’s research excellence is widely recognized through multiple awards. In 2023, he received a Bronze Award at the China College Students’ ‘Internet+’ Innovation Competition. He also secured the First Prize at the CCF Mobile Robot Challenge with a $10,000 grant, and a Second Prize in the International Running Intelligent Robot Competition. Earlier, he won the First Prize in the same international robotics event in 2019. In 2021, he earned the Second Prize in the World 5G Conference Application Design Competition. These accolades highlight his ability to translate complex theoretical work into high-impact innovations, especially in robotics, autonomous systems, and AI-powered design.

🔍 Research Focus 

Dr. Mingyue Cui’s research integrates real-time embedded systems, AI-driven autonomous vehicles, biomedical signal processing, and point cloud compression. His Ph.D. centered on Intelligent Connected Vehicles (ICV), where he developed methods for optimizing service offloading and computing efficiency while maintaining Quality of Service under network fluctuations. His recent research includes developing hybrid CNN-Transformer models for ECG denoising, distributed AI processors for seizure detection, and octree-based transformers for LiDAR compression. With applications spanning autonomous mobility to wearable health diagnostics, Cui’s work emphasizes scalable, cost-effective, and intelligent system architectures. He is also deeply involved in collaborative SLAM for multi-vehicle networks and cross-modal sensor fusion, pushing the boundaries of edge computing in real-time robotics and healthcare contexts.

📄 Publication Top Notes

1. Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR

Cui et al., IEEE Transactions on Instrumentation and Measurement, 2022
This paper presents a novel method combining sparse LiDAR data with asynchronous event camera signals to estimate dense depth maps efficiently. The fusion approach leverages temporal resolution from event cameras and spatial accuracy from LiDAR to improve performance in dynamic environments.

2. Offloading Autonomous Driving Services via Edge Computing

Cui et al., IEEE Internet of Things Journal, 2020
A seminal work on optimizing the offloading of AI services in autonomous driving. It explores real-time system performance under various load conditions and proposes an adaptive framework to ensure service continuity with minimal latency.

3. OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression

Cui et al., AAAI Conference on Artificial Intelligence, 2023
Proposes OctFormer, an efficient transformer architecture for compressing point cloud data using octree structures. It achieves local detail preservation with high compression ratios, enabling faster data transmission in autonomous systems.

4. OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression

Cui et al., AAAI 2023
This paper introduces OctFormer, a novel transformer-based framework that leverages the octree structure for efficient point cloud compression. It enhances local feature extraction while achieving significant compression gains, facilitating faster 3D data transfer in autonomous systems.

5. ECG Signal Denoising Based on Hybrid CNN-Transformer Network

Cui et al., Journal of Healthcare Engineering, 2023
This study proposes a deep hybrid model combining Convolutional Neural Networks (CNNs) and Transformers to denoise ECG signals. The model effectively suppresses motion artifacts and improves diagnostic signal quality, contributing to wearable and mobile health solutions.

6. Distributed Lightweight AI Processor for Real-Time Epileptic Seizure Detection

Cui et al., Biomedical Signal Processing and Control, 2022
Presents a low-latency, power-efficient edge processor design for seizure detection using EEG signals. The AI model is optimized for resource-constrained devices, enabling early and accurate detection in remote or wearable healthcare settings.

7. Cooperative SLAM for Multi-Vehicle Systems Based on Dynamic Bayesian Optimization

Cui et al., IEEE Access, 2021
This paper addresses collaborative simultaneous localization and mapping (SLAM) for autonomous vehicles. It proposes a Bayesian optimization strategy to dynamically adjust SLAM parameters across a vehicle fleet, enhancing map accuracy and robustness in changing environments.

8. Quality of Service-Oriented Computation Offloading for Autonomous Driving Applications

Cui et al., Sensors, 2020
Focuses on computation offloading strategies that prioritize QoS in vehicle-to-edge communication. It balances task latency and network reliability to ensure real-time performance for self-driving applications, even under fluctuating network conditions.

9. Real-Time Scene Flow Estimation for Stereo Vision Using Embedded GPU Platforms

Cui et al., International Conference on Embedded Systems and Applications, 2019
Develops a lightweight algorithm for estimating scene flow from stereo images, optimized for embedded GPU platforms. The approach supports real-time performance, enabling practical deployment in mobile robots and AR/VR applications.

10. LiDAR-Assisted Pedestrian Detection Based on Multi-Sensor Fusion with Deep Learning

Cui et al., Proceedings of the Chinese Conference on Intelligent Transportation, 2021
Integrates LiDAR data with camera input using a deep fusion network to enhance pedestrian detection accuracy in autonomous vehicles. The fusion technique improves robustness in low-light or occluded conditions.

Conclusion

Dr. M. Cui is a highly accomplished and forward-thinking researcher with:

  • A clear impact in autonomous systems and intelligent robotics,

  • Strong innovation credentials (patents and real-world applications),

  • Recognized technical contributions through competitive awards, and

  • A trajectory that continues to expand into biomedical applications.

He is highly suitable for a Best Researcher Award, especially in fields related to smart mobility, embedded systems, and AI-powered healthcare technologies.

Saheed Ganiyu | Geophysics | Best Researcher Award

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Dr Saheed Ganiyu | Geophysics | Best Researcher Award

Senior Lecturer, Federal University of Agriculture, Abeokuta, Nigeria, Nigeria

Dr. Ganiyu Saheed Adekunle is a Nigerian geophysicist and Senior Lecturer at the Federal University of Agriculture, Abeokuta. Born in Ibadan, he specializes in environmental geophysics, hydrogeology, and subsurface contamination studies. With a Ph.D. in Geophysics and multiple international training programs, Dr. Ganiyu has emerged as a leading researcher in groundwater quality and environmental monitoring using integrated geophysical and statistical techniques. He is known for his commitment to sustainable development through applied geophysics and has collaborated across multidisciplinary teams to address Nigeria’s critical water issues. His scholarly impact includes numerous high-ranking publications and peer-review roles with leading journals. Dr. Ganiyu has earned national and international recognition, including awards and funded training by ICTP in Italy. His work continues to drive academic excellence, innovation, and environmental resilience in the geosciences.

Profiles

🎓 Education

Dr. Ganiyu obtained his Ph.D. and M.Sc. in Physics (Geophysics) from the Federal University of Agriculture, Abeokuta, Nigeria, in 2015 and 2011 respectively. He earned a B.Sc. (Hons) in Physics from the same institution in 2005 and completed a specialized Diploma in Geophysics at the Abdus Salam ICTP, Italy, in 2007. His foundational studies began at Ikolaba High School, Ibadan, where he received his WASSC in 1995. His academic journey reflects a consistent dedication to Earth sciences and geophysics, with additional exposure to international research environments that have broadened his theoretical and practical understanding of environmental geophysics and data-driven groundwater assessments.

🏢 Professional Experience 

Dr. Ganiyu’s academic career spans over 15 years at the Federal University of Agriculture, Abeokuta. He has held positions including Senior Lecturer (2021–present), Lecturer I (2018–2021), Lecturer II (2015–2018), and Assistant Lecturer (2012–2015). His journey began as a Junior Research Fellow from 2009 to 2011. He has contributed to curriculum development, mentored students, and led geophysical research projects involving groundwater exploration, soil property analysis, and environmental pollution detection. His teaching portfolio includes geophysics, numerical methods, and Earth resource analysis. Known for his integration of field surveys with multivariate data analytics, he has applied his skills in real-world contexts such as landfill pollution studies and urban water quality monitoring in Nigeria’s major cities.

🔬 Research Focus 

Dr. Ganiyu’s research bridges applied geophysics, environmental monitoring, and hydrogeochemistry. His core interest lies in groundwater quality assessment using electrical resistivity imaging, multivariate statistical modeling, and geochemical techniques. He has advanced the understanding of leachate plume migration, heavy metal pollution, and water pipeline corrosion through field-based studies in urban Nigeria. His work contributes to solving real-world environmental challenges like aquifer contamination and soil degradation. His interdisciplinary collaborations span geology, civil engineering, and environmental science, driving forward sustainable development in water resource management. His approach blends classic geophysical methods with modern computational tools, offering holistic solutions to subsurface characterization and pollution mitigation.

📚 Publication Top Notes

  • Evaluation of seasonal variation of water quality using multivariate statistical analysis and irrigation parameter indices in Ajakanga area, Ibadan, Nigeria

    Citation:
    Ganiyu, S.A., Badmus, B.S., Olurin, O.T., & Ojekunle, Z.O. (2018). Applied Water Science, 8, 1–15.
    Cited by: 111
    Summary:
    This study evaluated seasonal fluctuations in groundwater quality using multivariate statistical tools. The analysis revealed contamination from both natural and anthropogenic sources and assessed suitability for irrigation through various indices.

  • Effects of industrialization on groundwater quality in Shagamu and Ota industrial areas of Ogun state, Nigeria

    Citation:
    Zacchaeus, O.O., Adeyemi, M.B., Adedeji, A.A., Adegoke, K.A., Anumah, A.O., et al. (2020). Heliyon, 6(7).
    Cited by: 81
    Summary:
    The work examined the effect of industrial growth on aquifer contamination. Physicochemical parameters and heavy metal concentrations exceeded WHO limits, highlighting public health risks.

  • Assessment of physicochemical characteristics of groundwater within selected industrial areas in Ogun State, Nigeria

    Citation:
    Ojekunle, Z.O., Adeyemi, A.A., Taiwo, A.M., Ganiyu, S.A., Balogun, M.A. (2020). Environmental Pollutants and Bioavailability, 32(1), 100–113.
    Cited by: 51
    Summary:
    Investigates how industrial waste affects groundwater quality, using pollution indices and multivariate methods to evaluate spatial variability and potential health risks.

  • Assessment of groundwater contamination around active dumpsite in Ibadan Southwestern Nigeria using integrated electrical resistivity and hydrochemical methods

    Citation:
    Ganiyu, S.A., Badmus, B.S., Oladunjoye, M.A., Aizebeokhai, A.P., Ozebo, V.C., et al. (2016). Environmental Earth Sciences, 75, 1–19.
    Cited by: 50
    Summary:
    Combines geophysical and hydrochemical data to delineate contamination plumes from dumpsites, identifying leachate impacts on surrounding aquifers.

  • Physico-chemical properties of soil samples and dumpsite environmental impact on groundwater quality in South Western Nigeria

    Citation:
    Badmus, B.S., Ozebo, V.C., Idowu, O.A., Ganiyu, S.A., Olurin, O.T. (2014). The African Review of Physics, 9.
    Cited by: 49
    Summary:
    Explores how open dumpsites alter soil and groundwater chemistry, particularly with heavy metals, suggesting significant ecological and health concerns.

  • Delineation of leachate plume migration using electrical resistivity imaging on Lapite dumpsite in Ibadan, Southwestern Nigeria

    Citation:
    Ganiyu, S.A., Badmus, B.S., Oladunjoye, M.A., Aizebeokhai, A.P., Olurin, O.T. (2015). Geosciences, 5(2), 70–80.
    Cited by: 47
    Summary:
    Utilizes 2D resistivity imaging to monitor leachate infiltration and migration, aiding waste management and groundwater protection strategies.

  • Upward continuation and reduction to pole process on aeromagnetic data of Ibadan Area, South-Western Nigeria

    Citation:
    Ganiyu, S.A., Badmus, B.S., Awoyemi, M.O., Akinyemi, O.D., Olurin, O.T. (2013). Earth Science Research, 2(1), 66.
    Cited by: 47
    Summary:
    Presents geophysical data enhancement techniques for mapping subsurface structures in Ibadan, contributing to mineral exploration.

  • Assessment of heavy metals contamination and associated risks in shallow groundwater sources from three different residential areas within Ibadan metropolis, southwest Nigeria

    Citation:
    Ganiyu, S.A., Oyadeyi, A.T., Adeyemi, A.A. (2021). Applied Water Science, 11(5), 81.
    Cited by: 46
    Summary:
    Analyzes contamination levels and calculates health risk indices for residents using groundwater with varying exposure levels to heavy metals.

  • Investigation of soil moisture content over a cultivated farmland in Abeokuta Nigeria using electrical resistivity methods and soil analysis

    Citation:
    Ganiyu, S.A., Olurin, O.T., Oladunjoye, M.A., Badmus, B.S. (2020). Journal of King Saud University-Science, 32(1), 811–821.
    Cited by: 25
    Summary:
    Combines geophysical surveys and soil testing to assess soil moisture distribution for agricultural planning.

  • Assessment of microbial and heavy metal contamination in shallow hand-dug wells bordering Ona River, Southwest Nigeria

    Citation:
    Ganiyu, S.A., Mabunmi, A.A., Olurin, O.T., Adeyemi, A.A., Jegede, O.A., Okeh, A. (2021). Environmental Monitoring and Assessment, 193(3), 126.
    Cited by: 24
    Summary:
    Focuses on waterborne pathogens and toxic metal levels near riverbanks, identifying health hazards and poor sanitation.

✅ Conclusion

Dr. Ganiyu Saheed Adekunle is highly suitable for a Best Researcher Award. His rigorous academic output, domain relevance, reviewer roles, and international exposure position him as a key contributor to the field of environmental geophysics and water resource management in Nigeria and beyond.

Alok Wankar | Veterinary sciences | Best Academic Researcher Award

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Dr. Alok Wankar | Veterinary sciences | Best Academic Researcher Award

Assistant professor, College of veterinary and animal sciences parbhani, India

Dr. Alok Khemraj Wankar is a dedicated veterinary physiologist with over 15 years of academic and research experience in veterinary science. Currently serving as Assistant Professor at the College of Veterinary & Animal Sciences, Parbhani, Maharashtra, he specializes in heat stress physiology, climate change adaptation, and sustainable livestock production. With a PhD from the Indian Veterinary Research Institute (IVRI) and advanced degrees from MAFSU, Dr. Wankar has contributed significantly to understanding thermoregulation and metabolic responses in animals. His research, widely published and cited, has influenced policy and practice in animal husbandry under thermal stress. An accomplished scholar, he holds multiple fellowships, national awards, and is actively involved in mentoring postgraduate students and leading funded projects. Dr. Wankar is recognized not only for his academic excellence but also for his commitment to advancing animal welfare in the face of global climate challenges.

Profile

Google Scholar

🎓 Education

Dr. Alok Wankar holds a PhD in Veterinary Physiology from the Indian Veterinary Research Institute (2009–2012), where he studied physio-biochemical responses and gas emissions in buffaloes under thermal stress. Prior to this, he completed his Master of Veterinary Science (MVSc) from Nagpur Veterinary College, MAFSU, focusing on the impact of Neem leaf powder on broiler health and growth. His foundational veterinary training, the BVSc & AH (2001–2006), was also obtained from Nagpur Veterinary College. He recently acquired a Diploma in Veterinary Medicine from Alison Online (2024), enhancing his clinical and global perspective. Throughout his educational journey, Dr. Wankar emphasized interdisciplinary knowledge, including minors in nutrition, reproduction, livestock production, and pathology. This academic background has laid a strong foundation for his later work in heat stress physiology and sustainable animal farming. His education is both deep and broad, spanning traditional veterinary science and emerging climate-focused applications.

🧑‍🏫 Experience

Dr. Alok Wankar currently serves as an Assistant Professor at the College of Veterinary & Animal Sciences, Parbhani, since July 2015. Here, he teaches and mentors students while leading vital research projects in veterinary physiology. Before this, he worked briefly at the College of Veterinary & Animal Sciences, Hyderabad (May–July 2015), and from 2012–2014, held a faculty position at Khalsa College of Veterinary & Animal Sciences, Amritsar. His professional journey spans more than a decade of hands-on teaching, research, and curriculum development. Dr. Wankar is also a recognized Postgraduate Guide under MAFSU and has mentored several successful student theses. In all his roles, he has shown a consistent commitment to both academic excellence and practical applications, particularly in climate-related animal physiology. His professional network includes memberships in several national and international scientific societies, strengthening his collaborative impact across veterinary and environmental sciences.

🏅 Awards and Honors

Dr. Alok Wankar has been honored with multiple prestigious awards recognizing his academic and research excellence. Most recently, he received the Best Researcher Award from the DK International Research Foundation (2024) and the National Research Excellence Award from the Novel Research Academy (2023–24). His significant contributions to veterinary physiology have earned him Fellowships from the Scholars Academy & Scientific Society, Bose Science Society, and ISROSET. He also received the ICAR-IVRI Doctoral Fellowship (2009–2012), a highly competitive national recognition. As a Recognized PG Guide at MAFSU, he has helped shape the next generation of veterinary researchers. His work has been acknowledged by peers and institutions alike for its real-world impact, particularly in areas like heat stress physiology and sustainable animal farming. These accolades reflect his scholarly depth, leadership in research, and enduring commitment to the betterment of animal welfare through scientific innovation.

🔬 Research Focus

Dr. Alok Wankar’s research is centered on heat stress physiology, climate change, and animal adaptation, with an emphasis on sustainable food production and endocrine responses in livestock. His pioneering work explores how animals adapt to extreme environmental conditions, particularly focusing on physiological, biochemical, and metabolic markers. His studies in methane emission and nutrient digestibility under thermal stress contribute to global efforts in reducing greenhouse gas emissions from agriculture. With over 15 publications in peer-reviewed journals—some highly cited—Dr. Wankar has shaped the conversation around animal resilience in the face of climate volatility. He integrates environmental indices like the Temperature Humidity Index (THI) into his models, offering holistic insights into livestock health. His interdisciplinary approach combines traditional veterinary science with emerging themes in sustainability and climate resilience, making his work essential for policymakers, researchers, and practitioners looking to build climate-smart agricultural systems.

📘Publication Top Notes

1. Heat stress in dairy animals and current milk production trends, economics, and future perspectives: the global scenario

Authors: AK Wankar, SN Rindhe, NS Doijad
Journal: Tropical Animal Health and Production, 2021, Vol 53(1), Article 70
Cited by: 80
Summary:
This paper presents a comprehensive review of how heat stress negatively affects dairy animals’ physiology, milk production, and economics. The authors analyze current trends in global milk yield, climate-induced production losses, and forecast long-term impacts. It provides future directions for mitigating heat stress through genetic, environmental, and nutritional interventions, making it a cornerstone publication in climate adaptation for livestock systems.

2. Effect of simulated heat stress on digestibility, methane emission and metabolic adaptability in crossbred cattle

Authors: B Yadav, G Singh, A Wankar, et al.
Journal: Asian-Australasian Journal of Animal Sciences, 2016, Vol 29(11), pp. 1585
Cited by: 70
Summary:
This experimental study evaluates how simulated heat stress influences nutrient digestibility and methane emissions in crossbred cattle. It provides a critical link between environmental stress and greenhouse gas emissions, supporting sustainable livestock strategies by highlighting the role of thermal management in reducing methane output.

3. Thermoregulatory and adaptive responses of adult buffaloes during hyperthermia

Authors: AK Wankar, G Singh, B Yadav
Journal: Veterinary World, 2014, Vol 7(10), pp. 825–830
Cited by: 69
Summary:
This study explores how buffaloes regulate body temperature and adapt metabolically and behaviorally under hyperthermic conditions. It’s significant for understanding breed-specific heat adaptation, especially in tropical climates, with direct implications for animal welfare and productivity under rising temperatures.

4. Effect of Neem (Azadirachta indica) leaf powder supplementation on growth in broilers

Authors: A Wankar, RN Shirbhate, KB Bahiram, SA Dhenge, RA Jasutkar
Journal: Veterinary World, 2009, Vol 2(10)
Cited by: 51
Summary:
This research investigates the use of neem leaf powder as a natural feed supplement in broiler chickens. The findings show positive effects on growth performance, positioning neem as a sustainable, eco-friendly alternative to synthetic additives in poultry nutrition.

5. The use of infrared skin temperature measurements for monitoring heat stress in cattle

Authors: B Yadav, G Singh, A Wankar
Journal: Indian Journal of Dairy Science, 2017, Vol 70(1), pp. 1–5
Cited by: 39
Summary:
This paper evaluates infrared thermography as a non-invasive technique to assess heat stress in cattle. It’s an important contribution toward developing precision livestock monitoring tools, improving early detection and stress management protocols in dairy operations.

6. Adaptive capability indicated by redox status and endocrine responses in heat-stressed crossbred cattle

Authors: B Yadav, G Singh, A Wankar
Journal: Journal of Animal Research, 2015, Vol 5(1), pp. 67–73
Cited by: 35
Summary:
This study correlates oxidative stress biomarkers and hormone profiles with adaptive responses in heat-stressed cattle. The research provides deeper insights into physiological resilience mechanisms and supports breeding and nutrition strategies for heat-tolerant livestock.

7. Acclimatization dynamics to extreme heat stress in crossbred cattle

Authors: B Yadav, G Singh, A Wankar
Journal: Biological Rhythm Research, 2021, Vol 52(4), pp. 524–534
Cited by: 26
Summary:
This paper studies how crossbred cattle gradually adapt to prolonged heat exposure. It highlights the critical transition phases in physiological acclimatization, offering practical implications for livestock management in hot climates.

8. Effect of temperature x THI on acclimatization in buffaloes under heat stress

Authors: AK Wankar, G Singh, B Yadav
Journal: Biological Rhythm Research, 2021, Vol 52(10), pp. 1589–1603
Cited by: 17
Summary:
This work examines the combined effect of ambient temperature and Temperature-Humidity Index (THI) on acclimatization responses in buffaloes. It reveals complex interactions influencing heat resilience, useful in region-specific livestock planning.

9. Biochemical profile and methane emission during controlled thermal stress in buffaloes

Authors: AK Wankar, G Singh, B Yadav
Journal: Buffalo Bulletin, 2017, Vol 36(1), pp. 35–42
Cited by: 16
Summary:
This research provides valuable data on how thermal stress alters biochemical markers and methane output in buffaloes. The findings underscore the potential of physiological monitoring in optimizing emission control.

10. Haematobiochemical profile of broilers supplemented with Ashwagandha and Bhuineem

Authors: SA Dhenge, RN Shirbhate, KB Bahiram, AK Wankar, et al.
Journal: Indian Journal of Field Veterinarians, 2009, Vol 5(1), pp. 5–8
Cited by: 9
Summary:
This study explores herbal supplementation in broilers and its effect on blood parameters. It adds to the body of research supporting natural alternatives in poultry healthcare.

🧾 Conclusion

Dr. Alok Khemraj Wankar is an exceptionally qualified academic and researcher with a deep-rooted expertise in veterinary physiology, particularly in the domain of animal adaptation to environmental stressors, which is highly relevant in today’s climate-centric research paradigm. With strong publication metrics, consistent research leadership, recognized national awards, and active academic involvement, he is highly deserving of the “Best Academic Researcher Award”. His work contributes not only to veterinary sciences but also to the broader goals of sustainable agriculture and livestock resilience under climate stress.

Dr Lili Zhao | Biomedical Engineering |

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Dr Lili Zhao | Biomedical Engineering | Women Researcher Award

Department of Computer Science, Nantong University, China

Dr. Lili Zhao, born in Xinxiang, China, is a distinguished researcher specializing in Artificial Intelligence, Computer Vision, and Biomedical Image Processing. Currently serving in the Department of Computer Science at Nantong University, she has built a career dedicated to innovative research and teaching. She earned her Doctor of Engineering from the National University of Defense Technology and completed her postdoctoral research at Shanghai Jiao Tong University. With an international research stint at the University of Leicester, UK, Dr. Zhao has strengthened global academic ties. Her work has led to impactful publications in SCI-indexed journals and international conferences. Known for her contributions to medical imaging—particularly in fetal ultrasound and cervical cancer diagnostics—she integrates deep learning and algorithmic optimization in her projects. Beyond research, she passionately teaches courses in machine learning, C++, and digital image processing, fostering the next generation of computer scientists.

🎓 Education

Dr. Lili Zhao’s academic journey reflects a strong foundation in Computer Science and Artificial Intelligence. She earned her Bachelor of Engineering (2007) from Xinyang Normal University, followed by a Master of Engineering (2011) from Henan Normal University, majoring in Computer Application Technology. Her thirst for advanced research led her to pursue a Doctor of Engineering (2017) in Computer Science at the National University of Defense Technology, one of China’s top institutions. From 2018 to 2024, she conducted postdoctoral research in Artificial Intelligence at Shanghai Jiao Tong University, focusing on medical image processing. She also spent 2022–2023 as an academic visitor at the University of Leicester, UK, further enriching her international perspective in AI research. Her consistent academic excellence and cross-disciplinary training uniquely position her to address challenges at the intersection of computing and biomedical engineering.

💼 Experience

Dr. Zhao currently serves in the Department of Computer Science at Nantong University, where she is involved in both teaching and research within the School of Artificial Intelligence and Computer Science. Over the years, she has held various academic positions, with hands-on experience in research laboratories focused on biomedical image processing, deep learning, and AI-powered healthcare diagnostics. During her postdoctoral work at Shanghai Jiao Tong University, she developed advanced frameworks for fetal ultrasound image assessment and cervical cancer detection. She also collaborated internationally during her academic visit to the University of Leicester, contributing to joint projects in algorithmic optimization and uncertainty quantification. Her teaching record includes courses such as Machine Learning, C++ Programming, and Digital Image Processing, emphasizing her balanced engagement in both scientific innovation and student mentorship.

🔬 Research Focus

Dr. Lili Zhao’s research is centered on the development of AI-driven solutions for biomedical image analysis, particularly in fetal imaging and cervical cell diagnostics. Her work combines image processing, computer vision, and algorithm optimization to enable early and accurate diagnosis of medical conditions. She employs deep learning techniques to address challenges such as image quality assessment, segmentation, and classification under uncertainty or label shift. Her projects integrate multi-phase detection, extreme learning machines, and MRF-based segmentation for cytological images, contributing significantly to early cancer detection and maternal health monitoring. These solutions have the potential to be integrated into smart diagnostic systems and telemedicine platforms. Dr. Zhao’s research not only improves diagnostic efficiency but also ensures cost-effective healthcare delivery, particularly in under-resourced settings.

📄 Publication Top Notes

 

 

Li Jiaxuan | Ocean Engineering | Best Researcher Award

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Dr Li Jiaxuan | Ocean Engineering | Best Researcher Award

PhD student, Harbin Institute of Technology, China

Jiaxuan Li, born in 1998 in Heilongjiang Province, is a passionate and driven ocean engineering researcher currently pursuing a PhD in Civil and Hydraulic Engineering at Harbin Institute of Technology. His academic journey spans from a Bachelor’s in Safety Engineering at Chang’an University to a Master’s in Resource and Environmental Sciences at China University of Geosciences (Wuhan). Under the mentorship of Professor Dagang Lv, his PhD research centers on the reliability of offshore wind turbines under multi-hazard conditions. Li’s interdisciplinary expertise in geotechnics, fluid mechanics, and dynamic modeling informs his contributions to several nationally funded projects, where he excels in finite element analysis and coding. He has authored multiple peer-reviewed journal articles in leading Q1 journals and has garnered recognition for innovation, academic excellence, and leadership. With deep curiosity and technical rigor, Li is making significant strides in ensuring the resilience and safety of marine and offshore structures.

Profile

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🎓 Education 

Jiaxuan Li has pursued a rigorous academic path focused on engineering and environmental resilience. He began with a B.Eng. in Safety Engineering from Chang’an University (2016–2020), where he gained a strong foundation in safety systems, mechanics, and electronic technologies. He then earned his M.Sc. in Resource and Environmental Studies from China University of Geosciences (Wuhan) (2020–2023), specializing in marine geotechnical engineering. His master’s thesis examined the dynamic behavior of offshore pipe piles, under the supervision of Professor Hao Liu. Currently, he is a second-year PhD student at Harbin Institute of Technology (since 2023), majoring in Civil and Hydraulic Engineering. His doctoral research delves into the reliability of offshore wind turbines subjected to complex environmental stresses. Throughout his education, he has mastered advanced analytical tools such as MATLAB, ABAQUS, and AutoCAD, and taken key engineering courses including geotechnical, structural, and thermodynamic systems to support his multifaceted research.

🛠️ Experience 

Jiaxuan Li has hands-on research experience across four major national and provincial scientific programs. He actively contributed to the National Key R&D Program focused on transportation infrastructure resilience by developing finite element models and coding analytical simulations. In the National Natural Science Foundation of China’s General Program, he supported studies on offshore foundation safety and cyclic load responses through theoretical analysis and algorithm development. His work on the Hubei Natural Science Foundation Youth Project centered on soil-plugging effects in pile foundations, while a separate Guangxi-funded project explored safety design of pile-bucket foundations under lateral loads. In every project, Li played key roles in theoretical modeling, data processing, and co-authoring research papers. His experience bridges academic theory and practical engineering with strong computational and structural insights. His skills in MATLAB, ABAQUS, and SOLIDWORKS complement his field knowledge, enabling him to simulate real-world marine and offshore geotechnical challenges with high precision.

🏅 Awards and Honors 

Jiaxuan Li has received multiple awards recognizing both his academic excellence and entrepreneurial innovation. As an undergraduate, he was twice awarded the title of “Excellent League Cadre” and received two university-level scholarships. He excelled in the Internet+ Innovation and Entrepreneurship competitions, earning a Silver Award for his platform on elderly travel and residence, and a Bronze Award for an IoT-based fire escape guidance system. His projects were selected as national and university-level innovation incubators, including “Green Intent Network Technology Co., Ltd.” and subway carriage monitoring applications. During his master’s studies, Li again earned the “Excellent League Cadre” title, won third prize at a university scientific paper presentation, and secured a first-class academic scholarship. These accolades underscore his leadership, creativity, and scholarly rigor in both technological development and scientific research—traits that continue to drive his contributions to the field of ocean engineering and offshore structure safety.

🔬 Research Focus

Jiaxuan Li’s research focuses on the reliability and dynamic behavior of offshore wind turbines under multi-hazard effects. His investigations combine geotechnical engineering, structural dynamics, and marine environmental modeling to assess how wind, waves, seismic activity, and soil-structure interaction impact the performance of offshore energy systems. At the master’s level, he explored the lateral and horizontal dynamic responses of offshore pipe piles, particularly the effects of superstructure and soil plugging, which laid the groundwork for his doctoral research. His PhD project now advances this work by modeling complex multi-hazard scenarios that influence the operational stability and fragility of wind turbine foundations. He employs numerical simulations (e.g., ABAQUS), meta-damping models, and reliability analysis tools to predict failure mechanisms and optimize foundation design. His work supports the development of resilient, cost-effective offshore infrastructure vital to sustainable energy systems. He also contributes to national projects on coastal infrastructure safety and disaster mitigation.

📄 Publication Top Notes

  1. 📘 Lateral kinematic properties of offshore pipe piles embedded in saturated soil considering soil plug effect 

  2. ⚙️ Lateral dynamic response of offshore pipe piles considering the effect of superstructure 

  3. 🌊 New method to calculate the kinematic response of offshore pipe piles under seismic S-waves 

  4. 🏗️ Analytical solution for kinematic response of offshore piles under vertically propagating s-waves

Conclusion: 

His publication record, involvement in nationally significant research projects, strong academic background, and technical expertise make him stand out. His focus on renewable energy infrastructure is also very timely and aligns with global research priorities.

Charoen Nakason | Rubber Technology | Best Researcher Award

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Prof. Dr. Charoen Nakason | Rubber Technology | Best Researcher Award

Professor, Prince of Songkla University, Thailand

Dr. Charoen Nakason is a Professor at the Faculty of Science & Industrial Technology, Prince of Songkla University (PSU), Surat Thani Campus, Thailand. With a deep-rooted expertise in polymer science and natural rubber technology, he has significantly advanced research in polymer rheology and rubber processing. He began his academic journey with a BSc in Chemistry from PSU, followed by an MSc in Polymer Science from Chulalongkorn University, and earned his PhD in Polymer Rheology & Processing from the University of Bradford, UK. Over a career spanning more than three decades, Dr. Nakason has held pivotal academic and administrative roles, including Vice President of PSU Surat Thani Campus. He has published over 230 international articles and received multiple national awards. His commitment to scientific innovation and community service underscores his impact as a researcher, educator, and leader in Thailand’s polymer and rubber technology landscape.

Profile

Google Scholar

🎓 Education Background 

Dr. Nakason earned his Bachelor of Science in Chemistry in 1986 from Prince of Songkla University. Driven by a passion for polymers, he pursued a Master of Science in Polymer Science at Chulalongkorn University, graduating in 1991. Eager to contribute to the industrial applications of natural rubber, he then obtained his PhD in Polymer Rheology & Processing from the University of Bradford, England, in 1997. His academic path reflects a focused dedication to understanding the behavior, processing, and application of natural rubber and synthetic polymers. These degrees laid the foundation for his expertise in rubber compounding, grafting reactions, and thermoplastic vulcanizates. The international exposure during his doctoral studies contributed to his global perspective and innovative approach to sustainable rubber technology. Today, Dr. Nakason continues to bridge academic theory and industrial practice through extensive research, collaborations, and mentoring future scientists.

💼 Experience 

Dr. Nakason began his academic career in 1991 as a lecturer in Rubber Technology and Polymer Science at PSU’s Pattani Campus. After completing his PhD in England (1993–1997), he resumed teaching and progressed to Assistant Professor by 1999 and Associate Professor by 2002. In 2012, he moved to the Surat Thani Campus and was approved as Full Professor in 2021. Alongside teaching, he held key administrative roles, including Director of the Centre of Excellence in Natural Rubber Technology, Dean of FST, and Vice President of PSU Surat Thani Campus (2012–2022). His leadership extended to national bodies, serving on the Board of Directors of the Rubber Authority of Thailand (2019–2023) and chairing its Research & Innovation Committee. Through these roles, Dr. Nakason has influenced policy, research direction, and innovation in Thailand’s rubber industry, while mentoring early-career researchers and managing large-scale research infrastructure.

🏆 Awards & Honors

Dr. Nakason has been widely recognized for his pioneering work in rubber technology. In 2010, he received two major national honors: the National Outstanding Researcher Award in Physical Sciences and the Thailand Toray Science and Technology Award. His alma mater also acknowledged him with Outstanding Alumni Awards in 2011 and 2012. His early contributions were celebrated with the Outstanding Staff Award (2003) and Outstanding Research Facility Award (2008). His project achievements include TRF awards for creamed latex pond linings (2010) and grafted natural rubber adhesives (2005). In 2017, he was honored with the Distinguished Alumni Award from Benjamarachutit School. These accolades reflect both scientific excellence and community impact, underscoring his role as a leader in natural rubber research and application. Dr. Nakason continues to inspire Thailand’s scientific community through sustained innovation, impactful research, and strong academic leadership.

🔬 Research Focus

Dr. Charoen Nakason specializes in polymer science, with a particular emphasis on natural rubber technology. His research focuses on the rheology, processing, and functional modification of natural rubber to enhance its mechanical, thermal, and morphological properties. He is renowned for his work in grafting maleic anhydride onto natural rubber, dynamic vulcanization, and developing thermoplastic vulcanizates with improved performance. His studies explore the blending of natural rubber with synthetic polymers such as polypropylene and PMMA, as well as the use of nanofillers like carbon nanotubes for conductivity enhancement. He also researches sustainable alternatives and renewable fillers to reduce environmental impact. His body of work—over 230 international publications—contributes to global understanding of polymer compatibility, reactive blending, and bio-based composite materials. With over 4,500 citations and an h-index of 37, his work serves as a foundation for both industrial innovation and academic inquiry into advanced rubber materials.

📚Publication Top Notes

📘 Grafting of maleic anhydride onto natural rubber
🧪 Effect of vulcanization system on epoxidized natural rubber/polypropylene blends
📗 Rheological properties of maleated natural rubber with PMMA blends
🧫 Influence of modified rubber and carbon black structure on rubber compounds
🔬 Dynamic vulcanization of NR/HDPE blends with compatibilizers
🧬 Modification of deproteinized natural rubber via grafting polymerization
🧴 Peroxide effects on properties of NR/PP thermoplastic vulcanizates
🌾 Preparation of cassava starch-graft-polyacrylamide superabsorbents
🌀 Rheological behavior of maleated NR–cassava starch
💡 Rheological properties of maleated NR/polypropylene blends

Conclusion

The candidate is an outstanding researcher with a proven, sustained, and impactful career in polymer science and natural rubber technology. The breadth of achievements — from high-quality publications to national-level awards, and from academic leadership to industrial application — aligns extremely well with the criteria for a Best Researcher Award.

Workiye Getnet Abera | Chemical Engineering | Best Scholar Award

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Mr. Workiye Getnet Abera | Chemical Engineering | Best Scholar Award

Lecturer, Debre Tabor university, Ethiopia

Workiye Getnet Abera is a dynamic and innovative Chemical Engineer from Addis Ababa, Ethiopia, specializing in modeling, simulation, and the development of biomass-based products. With over five years of academic and research experience, he currently serves as a Senior Lecturer and Researcher at Debre Tabor University. His journey began at Jimma University, where he earned both his BSc and MSc in Chemical Engineering with a focus on process engineering. Throughout his career, Workiye has demonstrated a passion for sustainable materials, publishing numerous papers in top-tier international journals and contributing actively as a reviewer and editorial board member. His hands-on industrial training at Fincha Sugar Factory enriched his practical knowledge, bridging the gap between theory and industry. As an academic with strong technical skills and a commitment to innovation, he continuously works toward developing eco-friendly engineering solutions that can address global sustainability challenges and promote cleaner production methods.

Profile

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🎓 Education 

Workiye Getnet Abera pursued both his undergraduate and postgraduate education in Chemical Engineering at Jimma University, one of Ethiopia’s most prestigious institutions. He obtained his Bachelor of Science (BSc) degree in 2017, gaining a strong foundation in core engineering principles, fluid mechanics, thermodynamics, and chemical process design. Building on this, he continued his academic journey and received his Master of Science (MSc) in Chemical Engineering with a specialization in Process Engineering in 2020. His master’s research was focused on sustainable technologies and renewable resource utilization, particularly in polymer and biomass-based material synthesis. His academic training emphasized both theoretical rigor and practical application, equipping him with advanced knowledge in process modeling, simulation, and optimization techniques. His educational background, coupled with strong analytical and research skills, has laid a solid foundation for his professional and academic accomplishments, preparing him for impactful work in the chemical engineering and sustainability sectors.

🧪 Experience

Workiye has a diverse professional background combining teaching, research, and industrial experience. He currently works as a Senior Lecturer and Researcher at Debre Tabor University, where he leads research in polymer chemistry and additive manufacturing and delivers core chemical engineering courses. Before this, he served as a Lecturer and Researcher at Dilla University from 2020 to 2024, where he was actively engaged in curriculum development, mentoring students, and advancing research in sustainable processes and materials. His industry experience began with an internship at Fincha Sugar Factory in 2015, where he gained practical exposure to large-scale industrial operations, including sugar production and bioproduct processing. This blend of academia and industry has shaped him into a well-rounded professional. His experience across both academic institutions and industrial settings enables him to bridge theory and practice, nurturing a new generation of engineers while conducting impactful research that meets real-world needs.

🔬 Research Focus 

Workiye Getnet Abera’s research centers around sustainable materials engineering, biomass utilization, and process optimization. His work contributes to global environmental goals by creating value-added products from renewable and agro-industrial waste. His primary research interests include the synthesis and characterization of bioplastics, development of plant-based biolubricants, and formulation of gluten-free functional foods. He employs modeling, simulation, and design of experiments (DoE) techniques using tools such as Aspen Plus, MATLAB, Design Expert, and ANSYS to optimize chemical processes. Additionally, Workiye is exploring polymer chemistry and additive manufacturing to produce eco-friendly alternatives to conventional plastics. Through interdisciplinary collaboration and hands-on experimentation, he aims to develop green engineering solutions for food, pharmaceutical, and energy sectors. His work not only contributes to academic knowledge but also holds practical implications for local industries and sustainable development in Ethiopia and beyond. His forward-looking research aligns well with the goals of global climate action and circular economy.

📚 Publication Top Notes

  1. 🧴 Synthesis, Characterization, and Optimization of Antimicrobial Biolubricant from Ocimum lamiifolium and Lactic Acid – Heliyon, 2025

  2. 🍞 Quality Assessment of Gluten-Free Sorghum Bread with Sweet Lupin Flour – CYTA Journal of Food, 2024

  3. 🍪 Effect of Baking Conditions on Gluten-Free Biscuit from Groundnut Oilseed Cake and Teff – Cogent Food & Agriculture, 2024

  4. 🌿 Synthesis and Characterization of Bioplastic from Banana Peel Starch and Cellulosic Fiber – Biomass Conversion & Biorefinery, 2023