Surong Yan | Graph-based recommendation systems | Best Researcher Award

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Ms. Surong Yan | Graph-based recommendation systems | Best Researcher Award

Professor, Zhejiang University of Finance and Economics, China📖

Dr. Surong Yan is a professor in the Department of Computer Science and Technology at Zhejiang University of Finance and Economics. With a research focus on data mining, knowledge discovery, artificial intelligence, and recommendation systems, her work explores innovative solutions for online activity recognition, human-computer interaction, and intelligent services. Dr. Yan has authored over 20 publications in leading journals such as IEEE TKDE and ACM TOIS, and has received multiple grants, including those from the National Science Foundation. She has also served as a reviewer for top journals and conferences in her field.

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Education and Experience🎓

Dr. Surong Yan holds a Ph.D. in Computer Science and Technology from Zhejiang University, which she completed in 2014. Prior to this, she earned a Master of Arts in Computer Science and Technology as a visiting scholar at Zhejiang University in 2005. Dr. Yan also holds a Bachelor of Arts in Information Management and Information Systems from the Zhejiang University of Finance and Economics, where she graduated in 2002. Her academic journey has provided a solid foundation in computer science and technology, which she has built upon through her research and professional experience in the fields of data mining, artificial intelligence, and recommendation systems.

Professional Development🌱

Dr. Yan has been a dedicated member of the faculty at Zhejiang University of Finance and Economics since 2005, where she progressed from Lecturer to Associate Professor and ultimately to Professor. In addition to her teaching and research contributions, she spent a year as a visiting scholar at the University of California, Irvine, in 2015-2016, where she furthered her work in data mining and human activity recognition. Her contributions as an academic include serving as a reviewer for prestigious journals such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Knowledge-Based Systems (KBS), Expert Systems with Applications (ESWA), and as a program committee (PC) member for international conferences.

Research Focus🔬

Dr. Surong Yan’s research focuses on data mining, knowledge discovery, artificial intelligence, and recommendation systems. Her work addresses real-world challenges in online activity recognition, human interaction, and recommendation systems in the context of IoT and social computing. Her innovative methodologies leverage edge computing, graph neural networks, and reinforcement learning to enhance intelligent services and human-computer interaction.

Author Metrics 

Dr. Surong Yan has authored over 20 publications in prestigious journals and conferences, including IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), Knowledge-Based Systems (KBS), and Expert Systems with Applications (ESWA). Her research has garnered significant attention, with multiple high-impact articles in the fields of data mining, artificial intelligence, and recommendation systems. Additionally, she has served as a reviewer for several leading journals and a program committee member for international conferences, further solidifying her influence in the academic community.

Grants & Awards

  • National Science Foundation (NSF) Grant, 2019: For “Research on adaptive recommendation and optimization of intelligent services based on edge computing and swarm intelligence sensing.”
  • National Science Foundation (NSF) Grant, 2015: For “Situation-aware personalized recommendation mechanism in a converged network environment.”
  • Natural Science Foundation of Zhejiang Province Grant, 2014: For “Personalized recommendation mechanism of multi-strategy integration in a social computing environment.”

Publications Top Notes 📄

  1. Feature Interactive Graph Neural Network for KG-based Recommendation
    • Authors: Yan, S., Li, C., Wang, H., Lin, B., Yuan, Y.
    • Published in: Expert Systems with Applications
    • Year: 2024
    • Volume: 237
    • Article ID: 121411
    • Abstract: This study proposes a novel feature interactive graph neural network (GIN) model for knowledge graph (KG)-based recommendation systems. It explores feature interactions between different types of data (e.g., user, item, and context) in a knowledge graph to enhance recommendation accuracy. The model uses graph neural networks to process and learn from the structured knowledge embedded in the graph, which helps to improve the personalized recommendation systems.
    • Citations: 3
  2. Cross-view Temporal Graph Contrastive Learning for Session-based Recommendation
    • Authors: Wang, H., Yan, S., Wu, C., Han, L., Zhou, L.
    • Published in: Knowledge-Based Systems
    • Year: 2023
    • Volume: 264
    • Article ID: 110304
    • Abstract: This paper introduces a cross-view temporal graph contrastive learning method for session-based recommendation systems. The authors address the challenge of recommending items in a session-based environment, where the user preferences change over time. The proposed model utilizes temporal graph-based contrastive learning to capture these changes and enhance the accuracy of session-based recommendation engines.
    • Citations: 10
  3. LkeRec: Toward Lightweight End-To-End Joint Representation Learning for Building Accurate and Effective Recommendation
    • Authors: Yan, S., Lin, K.-J., Zheng, X., Wang, H.
    • Published in: ACM Transactions on Information Systems
    • Year: 2022
    • Volume: 40(3)
    • Article ID: 54
    • Abstract: LkeRec is an end-to-end lightweight joint representation learning approach aimed at improving the accuracy and efficiency of recommendation systems. It combines feature learning and recommendation generation into a single framework to simplify the process and reduce computation costs, while ensuring that the quality of recommendations remains high.
    • Citations: 5
  4. A Hybrid Model with Novel Feature Selection Method and Enhanced Voting Method for Credit Scoring
    • Authors: Yao, J., Wang, Z., Wang, L., Jiang, H., Yan, S.
    • Published in: Journal of Intelligent and Fuzzy Systems
    • Year: 2022
    • Volume: 42(3)
    • Pages: 2565–2579
    • Abstract: The paper presents a hybrid model for credit scoring, which integrates a novel feature selection method with an enhanced voting mechanism to improve prediction accuracy. The hybrid model combines different machine learning techniques to identify the most relevant features for credit scoring and make better predictions, particularly in the context of financial applications.
    • Citations: 4
  5. Attention-Aware Metapath-Based Network Embedding for HIN-Based Recommendation
    • Authors: Yan, S., Wang, H., Li, Y., Zheng, Y., Han, L.
    • Published in: Expert Systems with Applications
    • Year: 2021
    • Volume: 174
    • Article ID: 114601
    • Abstract: This paper proposes an attention-aware metapath-based network embedding method for heterogeneous information networks (HINs). The proposed method focuses on the importance of different metapaths and incorporates attention mechanisms to improve the recommendation quality in HIN-based environments. The approach is particularly useful for scenarios where the relationships between entities are complex and diverse.
    • Citations: 30

Conclusion

Dr. Surong Yan is an exemplary candidate for the Best Researcher Award due to her significant contributions to the fields of data mining, knowledge discovery, and artificial intelligence. Her innovative methodologies, combined with her successful academic and research career, position her as a leader in her field. By expanding her research’s industrial and sectoral reach, Dr. Yan could amplify her already impressive impact. Her achievements, dedication, and promise for future advancements make her a deserving nominee for this prestigious recognition.

Abdulnaser Fakhrou | educational psychology applications | Excellence in Research

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Assoc. Prof. Dr. Abdulnaser Fakhrou | Educational Psychology Applications | Excellence in Research

Abdulnaser Fakhrou, college of Education, Qatar University, Qatar📖

Dr. Abdulnaser Abdulraheem Fakhrou is an Associate Professor in the Department of Psychological Science at the College of Education, Qatar University. With a Ph.D. in Educational Psychology from the University of Birmingham, UK, Dr. Fakhrou has dedicated his career to advancing educational and psychological research, specializing in areas such as special education, educational psychology, and gifted education. His teaching and research work have spanned several institutions, including prior roles at Umm Al-Qura University in Saudi Arabia and the College of Basic Education in Kuwait. Dr. Fakhrou’s research interests include emotional intelligence, academic self-efficacy, and the psychological aspects of education technology. He has published widely in international journals, contributing to the fields of educational psychology and cyberpsychology, and actively engages in initiatives to support mental health and inclusive education practices. 🧬

 

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Education and Experience🎓

Dr. Abdulnaser Abdulraheem Fakhrou has an extensive educational foundation in psychology and special education. He earned a Ph.D. in Educational Psychology from the University of Birmingham, UK, in 2005, where he also completed a Higher Diploma in Scientific Research in 2003. His specialization in gifted education was furthered with a diploma from the University of Connecticut, USA, in 2000. Additionally, he holds a Master’s in Special Education from the Arabian Gulf University, Bahrain (1998), and several higher diplomas in social sciences and special education, including a Bachelor of Arts from Kuwait University. This robust education underpins his expertise in educational psychology.

Professional Development🌱

Dr. Fakhrou is currently an Associate Professor in the Department of Psychological Science at Qatar University, a role he has held since 2021. Prior to this, he served as an Assistant Professor in special education at Umm Al-Qura University in Saudi Arabia and at Kuwait’s College of Basic Education. His career is marked by a focus on teaching and developing courses in educational psychology, special education, and inclusive practices. Dr. Fakhrou’s experience spans over two decades in academia, where he has contributed to curriculum development, student guidance, and the advancement of educational methods tailored to diverse learning needs.💼

Research Focus🔬

Dr. Fakhrou’s research interests are rooted in educational psychology and special education, with a particular focus on supporting gifted students and those with special needs. His work encompasses areas such as emotional intelligence, academic self-efficacy, and the impact of educational technology on learning. Recently, he has also explored cyberpsychology, studying the influence of social networking and cyber risks on university students. Dr. Fakhrou’s research aims to promote inclusive education and enhance learning outcomes through psychological insights, addressing both academic and emotional aspects to foster better academic achievement and personal development in diverse educational environments.🧪

Author Metrics 

Dr. Fakhrou is a prolific researcher with multiple publications in reputable international journals. His work has been cited extensively, contributing significantly to fields such as educational psychology, special education, and cyberpsychology. Notable publications include studies on emotional intelligence, academic self-efficacy, and social media risks, reflecting his diverse research interests. His publications in journals like Multimedia Tools and Applications and the International Journal of Higher Education showcase his impact in education and psychology, with several articles accumulating high citation counts. Dr. Fakhrou’s research is accessible on platforms like ResearchGate, Scopus, and Google Scholar, reflecting his established academic presence.

Publications Top Notes 📄

  • Smartphone-based food recognition system using multiple deep CNN models 📅
    • Authors: A. Fakhrou, J. Kunhoth, S. Al Maadeed
    • Journal: Multimedia Tools and Applications
    • Volume 80, Issue 21, Pages 33011-33032
    • Citations: 50
    • Year: 2021
  • The relationship between academic self-efficacy and academic achievement in students of the department of special education 📅
    • Authors: A. Fakhrou, L. H. Habib
    • Journal: International Journal of Higher Education
    • Volume 11, Issue 2, Pages 1-12
    • Citations: 21
    • Year: 2022
  • The Effectiveness of a Proposed Program Titled (Creativity Lamp) in Raising the Primary School Students’ Academic Achievement and Promoting Creativity among Them in Kuwait 📅
    • Authors: A. A. Fakhrou, S. A. Ghareeb
    • Journal: Journal of Curriculum and Teaching
    • Volume 9, Issue 3, Pages 20-32
    • Citations: 9
    • Year: 2020
  • Academic performance of engineering students: A predictive validity study of first-year GPA and final-year CGPA 📅
    • Authors: A. H. Nurudeen, A. Fakhrou, N. Lawal, S. Ghareeb
    • Journal: Engineering Reports
    • Volume 6, Issue 5, Article e12766
    • Citations: 7
    • Year: 2024
  • Cybercrime Risk Fear Among University Students’ Social Networking Sites: Validity and Reliability 📅
    • Authors: A. A. Fakhrou, T. R. Adawi, M. A. Moussa
    • Journal: International Journal of Cyber Criminology
    • Volume 16, Issue 1, Pages 40–53
    • Citations: 5
    • Year: 2022

Conclusion

Dr. Fakhrou’s contributions to educational psychology, especially his focus on special needs, emotional intelligence, and the psychological implications of technology, underscore his suitability for the Excellence in Research Award. His dedication to both academic rigor and practical applications reflects a career devoted to enhancing educational practices and supporting student development, making him a deserving candidate for this recognition.

Hebat-Allah S. Tohamy | Recycling and sustanability | Best Researcher Award

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Dr. Hebat-Allah S. Tohamy | Recycling and sustanability | Best Researcher Award

Researcher, at  National Research Centre,  Egypt 📖

Dr. Hebat-Allah Tohamy is an accomplished organic chemist and researcher specializing in the development of sustainable, high-performance materials from agricultural waste. With over a decade of research experience at the National Research Center, she has spearheaded projects in water treatment, drug delivery, and environmental remediation. Dr. Tohamy has been recognized for her innovative M.Sc. thesis by the National Research Centre and has been featured on Egyptian television for her work in agricultural waste valorization. She actively shares her insights through conferences, webinars, and scientific collaborations worldwide, contributing to the advancement of sustainable technologies.

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Education Background🎓

Dr. Hebat-Allah Tohamy holds a Ph.D. in Organic Chemistry from Helwan University (2020), where she focused on the Preparation, characterization, and applications of carbon allotropes derived from agricultural wastes. Her doctoral research underscores her commitment to sustainable chemistry, specifically in transforming agricultural residues into valuable carbon-based materials. Prior to her Ph.D., Dr. Tohamy earned her M.Sc. in Organic Chemistry from Helwan University in 2017, with a thesis centered on cellulose-based amphiphilic materials. This work laid the groundwork for her expertise in cellulose chemistry and nanomaterials. Dr. Tohamy completed her undergraduate studies at Helwan University, graduating in 2011 with a B.Sc. in Chemistry and Biochemistry, where she achieved top honors, ranking within the best ten students in her cohort. Additionally, she has expanded her expertise through scientific missions to Prague, Czech Republic, in 2019, 2022, and 2023, further enriching her knowledge in international research environments.

Professional Development🌱

Dr. Tohamy is a seasoned researcher at the National Research Center (NRC) in Cairo, where she has contributed significantly to the Cellulose and Paper Department since 2012. Her expertise spans cellulose chemistry, agricultural waste recycling, and nanotechnology, with a focus on developing sustainable materials for applications in water treatment, drug delivery, and environmental remediation. She has an extensive background in materials characterization, including techniques such as XRD, TEM, SEM, IR, TGA&DTA, DSC, Raman spectroscopy, UV, VSM, and fluorescence spectroscopy.

Her work emphasizes the transformation of agro-wastes into high-value materials like graphene oxide, carbon nanotubes, carbon quantum dots, and amphiphilic polymers. She is skilled in designing pH- and thermo-responsive hydrogels, adsorption materials, and sensors for waste contaminant detection. Dr. Tohamy has demonstrated her capabilities in scientific research, laboratory work, and project management on multiple national and international research collaborations.

Research Interests🔬

Dr. Tohamy’s research focuses on sustainable materials development through the recycling of agricultural wastes, particularly in synthesizing cellulose-based and carbon-based nanomaterials. Her work is centered around applications in water treatment, drug delivery, and environmental safety. Key areas of interest include:

  • Cellulose chemistry and hydrogels
  • Carbon-based materials like graphene oxide and carbon nanotubes
  • Kinetics and thermal analysis
  • Responsive polymers for medical and industrial applications
  • Material characterization and nanotechnology

Author Metrics

Dr. Hebat-Allah Tohamy is a recognized researcher with a solid impact in the field of organic chemistry and materials science, as reflected in her author metrics. She holds an h-index of 15, demonstrating her work’s high citation rate and influence in advancing sustainable material applications and waste valorization. Dr. Tohamy’s contributions to scientific literature are cataloged on platforms like Scopus and ORCID, where her publications in reputable journals are consistently cited by peers worldwide. Her research spans a range of innovative applications, from nanomaterials to environmental and pharmaceutical applications, underscoring her authority and continued engagement in impactful research.

Publications Top Notes📄

  1. “Fullerenes and tree-shaped/fingerprinted carbon quantum dots for chromium adsorption via microwave-assisted synthesis”
    • Journal: RSC Advances
    • Publication Year: 2024
    • DOI: 10.1039/D4RA04527K
    • Contributors: Hebat-Allah S. Tohamy, Mohamed El-Sakhawy, Samir Kamel
    • Summary: This study explores the synthesis of fullerenes and uniquely structured carbon quantum dots (tree-shaped and fingerprinted) using microwave-assisted techniques for the adsorption of chromium, a critical environmental contaminant.
  2. “Application of electrospun N-doped carbon dots loaded cellulose acetate membranes as cationic dyes adsorbent”
    • Journal: Journal of Environmental Management
    • Publication Date: November 2024
    • DOI: 10.1016/j.jenvman.2024.122714
    • Contributors: Stefania Mottola, Gianluca Viscusi, Hebat-Allah S. Tohamy, Mohamed El-Sakhawy, Giuliana Gorrasi, Iolanda De Marco
    • Summary: The article reports on the development of electrospun cellulose acetate membranes enhanced with nitrogen-doped carbon dots, designed for the adsorption of cationic dyes, showcasing potential for water purification applications.
  3. “Development and characterization of fluorescent cellulose succinate hydrogels for efficient chromium adsorption”
    • Journal: Journal of Polymer Research
    • Publication Date: November 2024
    • DOI: 10.1007/s10965-024-04164-4
    • Contributors: Hebat-Allah S. Tohamy, Mohamed El-Sakhawy, Beata Strachota, Silvia Mares Barbosa, Adam Strachota, Samir Kamel
    • Summary: This research focuses on creating fluorescent cellulose succinate hydrogels, demonstrating their efficacy for chromium ion adsorption, and highlighting their potential use in environmental cleanup.
  4. “Antimicrobial Plectranthus amboinicus emulsions prepared with amphiphilic cellulose stearate”
    • Journal: Euro-Mediterranean Journal for Environmental Integration
    • Publication Date: November 5, 2024
    • DOI: 10.1007/s41207-024-00675-0
    • Contributors: Hebat-Allah S. Tohamy, Mohamed El-Sakhawy, Sally A. Abdel-Halim, Hossam M. El-Masry, Mona Mohamed AbdelMohsen
    • Summary: The study investigates the preparation of antimicrobial emulsions using amphiphilic cellulose stearate and extracts from Plectranthus amboinicus, aiming to develop eco-friendly antimicrobial solutions.
  5. “Novel, Speedy, and Eco-Friendly Carboxymethyl Cellulose-Nitrogen Doped Carbon Dots Biosensors with DFT Calculations, Molecular Docking, and Experimental Validation”
    • Journal: Gels
    • Publication Date: October 24, 2024
    • DOI: 10.3390/gels10110686
    • Contributors: Hebat-Allah S. Tohamy
    • Summary: This publication introduces a fast, eco-friendly biosensor based on carboxymethyl cellulose and nitrogen-doped carbon dots. The study includes density functional theory (DFT) calculations, molecular docking, and experimental validation, providing insights into the sensor’s efficiency and accuracy.

Conclusion

Dr. Hebat-Allah S. Tohamy’s work aligns exceptionally well with the core goals of sustainability and environmental stewardship. Her contributions to developing eco-friendly materials from agricultural waste, as well as her significant publication record and respected standing in the field, present a compelling case for her as a deserving recipient of the Best Researcher Award. With further expansion of her research focus and international collaboration, Dr. Tohamy’s contributions are likely to continue growing in impact, making her a fitting and influential leader in her field.

Adla Padma | Blockchain | Best Researcher Award

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Ms. Adla Padma | Blockchain | Best Researcher Award

Research Scholar at  VIT Vellore, India 📝

Dr. Adla Padma is an Assistant Professor (On Contract) in the School of Computer Science Engineering and Information Systems (SCORE) at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu. With over six years of teaching and research experience, Dr. Padma is deeply involved in cutting-edge research in blockchain technology, IoT, and privacy preservation frameworks. Her current research focuses on developing efficient blockchain-enabled privacy preservation systems for smart environments. She is passionate about leveraging her academic background and expertise to contribute to the advancement of emerging technologies in computer science.

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Education 🎓

Dr. Adla Padma has a strong academic foundation in Computer Science Engineering, beginning with her Bachelor’s degree (B.Tech) from KBR Engineering College, Yadadri Bhuvanagiri, Telangana, where she graduated with a percentage of 79.94% in 2012. She then pursued her Master’s degree (M.Tech) in Computer Science Engineering at Sri Indu Institute of Engineering and Technology, Rangareddy, Telangana, completing it in 2016 with an impressive 82.75%. Currently, she is a Ph.D. candidate at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, where she has submitted her thesis on an efficient blockchain-enabled privacy preservation framework for IoT smart environments. Throughout her academic journey, Dr. Padma has consistently demonstrated a commitment to excellence, both in her studies and in her ongoing research contributions to the field of computer science.

Professional Experience 💼

Dr. Padma’s academic career spans over six years, during which she has held positions as an Assistant Professor both at Sri Indu Institute of Engineering and Technology and VIT. Currently, as a faculty member at VIT, she is focusing on research in the fields of blockchain, IoT, and smart environments. She has guided students on various projects, including deep learning models for earthquake prediction and has presented talks on blockchain to B.Tech students. Prior to her position at VIT, she worked as an Assistant Professor in the Department of Computer Science & Engineering at Sri Indu Institute of Engineering and Technology from 2016 to 2020.

Research Interests 🔬

Dr. Adla Padma’s research interests lie at the intersection of cutting-edge technologies such as blockchain, the Internet of Things (IoT), and privacy preservation frameworks. She is particularly focused on developing efficient and scalable blockchain solutions for IoT smart environments, with an emphasis on ensuring privacy and security. Additionally, her work explores the design and analysis of algorithms, machine learning, and artificial intelligence techniques, aiming to address real-world challenges in data management and system optimization. Dr. Padma is also interested in web technologies, particularly in enhancing user experiences through novel image search models, and advancing the field of programming languages, with expertise in C, C++, Python, and Java. Her research aims to contribute to the evolution of smart systems and secure, decentralized environments in various technological domains.

Author Metrics 🏆

  • Publications:
    Dr. Padma has made significant contributions to the academic community, particularly in the areas of blockchain technology, IoT, and privacy preservation. Notably, she has received the Raman Research Award for her publications in these fields, including titles such as “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus” and “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities.”
  • Reviewer & Conference Roles:
    Dr. Padma serves as a technical reviewer for the American Journal of Information Science and Technology (2024-2027) and has also been a reviewer for the ic-ETITE’24 2nd IEEE International Conference conducted by VIT. She has taken an active role as Technical Panel Incharge and Organizing Committee Member for the same conference.
  • Awards:
    She has been honored with the Raman Research Award for her impactful research contributions, underscoring the recognition of her work within the academic community.

Awards and Achievements 🏆

  • Raman Research Award for the publication titled “GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus,” VIT, Vellore.
  • Raman Research Award for the publication titled “Blockchain Based Efficient and Secure Privacy Preserved Framework for Smart Cities,” VIT, Vellore.
  • Technical Reviewer for the American Journal of Information Science and Technology (2024-2027).
  • Technical Reviewer for the ic-ETITE’24 2nd IEEE International Conference, VIT.
  • Technical Panel Incharge and Organizing Committee Member for ic-ETITE’24 2nd IEEE International Conference, VIT

Publications Top Notes 📚

  1. Blockchain based an efficient and secure privacy-preserved framework for smart cities
    • Authors: A Padma, M Ramaiah
    • Journal: IEEE Access
    • Publication Year: 2024
    • Volume: 19
  2. A review of security vulnerabilities in industry 4.0 applications and the possible solutions using blockchain
    • Authors: M Ramaiah, V Chithanuru, A Padma, V Ravi
    • Book: Cyber Security Applications for Industry 4.0
    • Pages: 63-95
    • Publication Year: 2022
    • Publisher: Springer
  3. Detecting security breaches on smart contracts through techniques and tools: A brief review – Applications and challenges
    • Authors: A Padma, R Mangayarkarasi
    • Conference: International Conference on Information and Management Engineering
    • Pages: 361-369
    • Publication Year: 2022
  4. GLSBIoT: GWO-based enhancement for lightweight scalable blockchain for IoT with trust-based consensus
    • Authors: A Padma, M Ramaiah
    • Journal: Future Generation Computer Systems
    • Volume: 159
    • Pages: 64-76
    • Publication Year: 2024
  5. A Technologies Study on Trending for IoT Use Cases Aspires to Build Sustainable Smart Cities
    • Authors: M Ramaiah, RM Yousuf, R Vishnukumar, A Padma
    • Book: Intelligent Systems and Sustainable Computational Models: Concepts
    • Publication Year: 2024

Conclusion

Dr. Adla Padma is a highly qualified candidate for the Best Researcher Award. Her expertise in blockchain, IoT, and privacy preservation is well-aligned with current global technological challenges, particularly in the development of smart cities. Her impressive academic background, impactful publications, and significant contributions to research make her a standout figure in her field.

Shurun Wang | Brain function connectivity analysis | Best Researcher Award

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Dr. Shurun Wang | Brain function connectivity analysis | Best Researcher Award

Postdoctoral researcher at  University of Science and Technology, China📝

Dr. Shurun Wang is a postdoctoral researcher at the School of Information Science and Technology, University of Science and Technology of China (USTC), specializing in biomedical signal analysis and brain function connectivity analysis. He holds a Ph.D. from the School of Electrical Engineering and Automation, Hefei University of Technology, where he also earned his MSc and BSc degrees. Dr. Wang has actively contributed to academic research and is passionate about advancing understanding in brain connectivity and biomedical systems through his work. He has received several prestigious awards, including the National Scholarship for Doctoral Students and the Outstanding Doctoral Dissertation Award from the Anhui Province Robotics Society.

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Education 🎓

Dr. Shurun Wang has a robust academic background in Electrical Engineering and Automation. He completed his Ph.D. at the School of Electrical Engineering and Automation, Hefei University of Technology, in Hefei, China, from 2019 to 2024, where he specialized in biomedical signal analysis and brain function connectivity. During his doctoral studies, he also had the opportunity to enhance his research through a one-year visiting student program at the Graduate School of Medicine, Juntendo University, Tokyo, Japan, from April 2023 to April 2024. Prior to his Ph.D., Dr. Wang earned both his M.Sc. (2016–2019) and B.Sc. (2012–2016) degrees in Electrical Engineering and Automation, also from Hefei University of Technology, where he gained a strong foundation in electrical systems and automation technologies.

Professional Experience 💼

Dr. Shurun Wang is currently a Postdoctoral Researcher at the School of Information Science and Technology, University of Science and Technology of China (USTC), where he conducts cutting-edge research in biomedical signal analysis and brain function connectivity analysis. Prior to his postdoctoral role, he completed his Ph.D. at the School of Electrical Engineering and Automation, Hefei University of Technology. During his doctoral studies, Dr. Wang also undertook a one-year research stint as a visiting student at the Graduate School of Medicine, Juntendo University, Tokyo, Japan.

Research Interests 🔬

Dr. Wang’s primary research interests lie in biomedical signal analysis, particularly focusing on brain function connectivity. His work aims to develop advanced computational techniques to enhance the understanding of neural systems and brain activity patterns. This research is vital for applications in medical diagnostics, neuroengineering, and cognitive neuroscience, with potential contributions to improving treatments for neurological disorders and enhancing brain-machine interfaces.

Author Metrics 🏆

Dr. Wang has published extensively in top-tier journals and conferences, contributing to the fields of biomedical signal processing and neural networks. His work has gained recognition for its innovation and impact on both theoretical advancements and practical applications.

Awards and Recognition 🏆

  • National Scholarship for Doctoral Students
  • Outstanding Doctoral Dissertation Award from Anhui Province Robotics Society
  • Xplore New Automation Award 2018 of PHOENIX CONTACT

Academic Service

Dr. Wang has contributed significantly to the academic community by reviewing for over 10 reputable journals, including:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Neural Networks and Learning Systems
  • Scientific Reports
  • Applied Artificial Intelligence

Publications Top Notes 📚

  1. Title: A novel approach to detecting muscle fatigue based on sEMG by using neural architecture search framework
    Authors: S Wang, H Tang, B Wang, J Mo
    Journal: IEEE Transactions on Neural Networks and Learning Systems
    Volume: 34, Issue: 8, Pages: 4932-4943
    Year: 2021
    Citations: 28
    Summary: This paper proposes a novel method for detecting muscle fatigue from surface electromyographic (sEMG) signals by employing a neural architecture search (NAS) framework. The study demonstrates that using NAS can efficiently identify optimal deep learning architectures for accurate and real-time fatigue detection, making it a significant contribution to health monitoring technologies.
  2. Title: Analysis of fatigue in the biceps brachii by using rapid refined composite multiscale sample entropy
    Authors: S Wang, H Tang, B Wang, J Mo
    Journal: Biomedical Signal Processing and Control
    Volume: 67, Article Number: 102510
    Year: 2021
    Citations: 24
    Summary: This study focuses on the analysis of muscle fatigue in the biceps brachii using rapid refined composite multiscale sample entropy (rRCMSE), a novel method to quantify the complexity of sEMG signals during fatigue. The research provides a reliable approach for muscle fatigue assessment in clinical and rehabilitation settings.
  3. Title: A double threshold adaptive method for robust detection of muscle activation intervals from surface electromyographic signals
    Authors: H Tang, S Wang, Q Tan, B Wang
    Journal: IEEE Transactions on Instrumentation and Measurement
    Volume: 71, Article Number: 1-12
    Year: 2022
    Citations: 5
    Summary: This paper introduces a double-threshold adaptive method to improve the robustness of detecting muscle activation intervals from sEMG signals. The method enhances the reliability and accuracy of muscle activation detection, which is crucial for fatigue monitoring and rehabilitation applications.
  4. Title: Continuous estimation of human joint angles from sEMG using a multi-feature temporal convolutional attention-based network
    Authors: S Wang, H Tang, L Gao, Q Tan
    Journal: IEEE Journal of Biomedical and Health Informatics
    Volume: 26, Issue: 11, Pages: 5461-5472
    Year: 2022
    Citations: 4
    Summary: This paper proposes a deep learning-based model that estimates human joint angles continuously from sEMG signals. The model uses a temporal convolutional attention mechanism to process multiple features, enabling precise real-time joint angle estimation for applications in rehabilitation and prosthetics.
  5. Title: Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms
    Authors: S Wang, H Tang, R Himeno, J Solé-Casals, CF Caiafa, S Han, S Aoki, …
    Journal: Computer Methods and Programs in Biomedicine
    Volume: 257, Article Number: 108419
    Year: 2022
    Citations: Not specified
    Summary: This paper focuses on optimizing graph neural network (GNN) architectures for predicting schizophrenia spectrum disorder. By using evolutionary algorithms, the study improves model accuracy, highlighting the potential of AI in mental health diagnosis and prognosis.

Conclusion

Dr. Shurun Wang is an outstanding candidate for the Best Researcher Award, owing to his remarkable contributions to biomedical signal analysis, brain function connectivity, and innovative health technologies. His research in detecting muscle fatigue, improving neurodiagnostic systems, and exploring neural systems for mental health prediction has the potential to revolutionize the field. With his continued dedication to advancing computational techniques in health sciences, Dr. Wang is poised to make even greater strides in improving medical diagnostics, neuroengineering, and treatment methodologies for neurological disorders.

Seyyed Amirreza Abdollahi | Gas Turbines | Best Researcher Award

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Mr. Seyyed Amirreza Abdollahi | Gas Turbines | Best Researcher Award

Researcher at  University of Tabriz, Iran📝

Seyyed Amirreza Abdollahi is a mechanical engineer with a focus on renewable energy technologies and energy system optimization. With extensive experience in research, teaching, and development, Abdollahi has a proven track record in the design and analysis of sustainable energy solutions. He combines academic knowledge with practical insights, contributing to advancements in renewable energy research and promoting sustainable practices within the engineering community.

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Google Scholar Profile 

Education 🎓

Seyyed Amirreza Abdollahi graduated with a Bachelor of Science in Mechanical Engineering from the University of Tabriz (2018-2022), achieving an impressive GPA of 17.90 out of 20. He ranked in the top 1.5% of candidates in both his undergraduate and M.Sc. university entrance exams, highlighting his academic excellence and dedication to mechanical engineering studies.

Professional Experience 💼

Abdollahi has accumulated hands-on experience across various roles within the field of mechanical engineering, particularly in renewable energy and thermal power systems. He currently holds a position in Research and Development (R&D) at Foolad Gharb, a subsidiary of Safa Holding, where he contributes to innovative mechanical engineering projects. Previously, he served as a project advisor for Sabir International Co. and worked as a teacher assistant in several technical courses, including Heat Exchanger, Advanced Engineering Mathematics, Heat Transfer, and Power Plants, all within the University of Tabriz. He completed an internship at the Tabriz Thermal Power Plant, where he gained practical insights into thermodynamic systems.

Research Interests 🔬

Abdollahi’s research interests are primarily in renewable energy systems, including wind and solar power generation, and energy efficiency. He is particularly focused on advanced topics such as exergy analysis, piezoelectric micropumps, photovoltaics, nanofluids, fuel cell technologies, and HVAC systems. His work aims to improve the efficiency and sustainability of energy systems, aligning with global priorities in clean energy and sustainability.

Author Metrics 🏆

Abdollahi has authored and contributed to multiple articles and presentations within the field of mechanical engineering. His work emphasizes innovative solutions in renewable energy, evidenced by his active participation in international conferences and publication contributions, especially around the design and optimization of energy systems.

Publications Top Notes 📚
  1. Title: Computer simulation of Cu: AlOOH/water in a microchannel heat sink using a porous media technique and solved by numerical analysis AGM and FEM
    Authors: SA Abdollahi, P Jalili, B Jalili, H Nourozpour, Y Safari, P Pasha, DD Ganji
    Journal: Theoretical and Applied Mechanics Letters
    Volume: 13, Issue 3, Article 100432
    Year: 2023
    Citations: 55
    Summary: This study focuses on the computer simulation of a Cu: AlOOH/water nanofluid in a microchannel heat sink. Utilizing a porous media technique, the research applies both the Adomian Decomposition Method (ADM) and Finite Element Method (FEM) to investigate heat transfer enhancement in the heat sink, providing insights for applications in advanced cooling systems.
  2. Title: Investigating heat transfer and fluid flow betwixt parallel surfaces under the influence of hybrid nanofluid suction and injection with numerical analytical technique
    Authors: SA Abdollahi, A Alizadeh, M Zarinfar, P Pasha
    Journal: Alexandria Engineering Journal
    Volume: 70, Pages 423-439
    Year: 2023
    Citations: 43
    Summary: This article examines the heat transfer and fluid flow characteristics between parallel surfaces using a hybrid nanofluid. A unique approach involving nanofluid suction and injection is analyzed, providing critical insights into fluid mechanics and thermal properties for applications such as cooling systems and industrial fluid handling.
  3. Title: Computational study of blood hemodynamic in ICA aneurysm with coiling embolism
    Authors: M Mirzaei Poueinak, SA Abdollahi, A Alizadeh, MA Youshanlui, H Zekri
    Journal: International Journal of Modern Physics C
    Volume: 34, Issue 10, Article 2350138
    Year: 2023
    Citations: 23
    Summary: This computational study investigates the hemodynamics of blood flow in an internal carotid artery (ICA) aneurysm treated with coiling embolism. Using fluid dynamics models, the paper provides insight into blood flow patterns, pressure distribution, and aneurysm stability, which is critical for advancements in medical treatment and patient outcomes.
  4. Title: Influence of extruded injector nozzle on fuel mixing and mass diffusion of multi-fuel jets in the supersonic cross flow: computational study
    Authors: SA Abdollahi, G Rajabikhorasani, A Alizadeh
    Journal: Scientific Reports
    Volume: 13, Issue 1, Article 12095
    Year: 2023
    Citations: 19
    Summary: This computational analysis investigates the effects of extruded injector nozzles on fuel mixing and mass diffusion in a supersonic cross flow, providing valuable insights for improving fuel injection efficiency in high-speed propulsion systems, with applications in aerospace and automotive industries.
  5. Title: Removal of ciprofloxacin and cephalexin antibiotics in water environment by magnetic graphene oxide nanocomposites; optimization using response surface methodology
    Authors: M Alishiri, SA Abdollahi, AN Neysari, SF Ranjbar, N Abdoli
    Journal: Results in Engineering
    Volume: 20, Article 101507
    Year: 2023
    Citations: Not specified
    Summary: This study explores the removal of pharmaceutical contaminants, specifically ciprofloxacin and cephalexin, from water using magnetic graphene oxide nanocomposites. By optimizing parameters through response surface methodology, this research presents an effective method for water purification, addressing environmental pollution concerns.

Conclusion

Seyyed Amirreza Abdollahi’s academic achievements, diverse research contributions, and practical engineering experience make him a strong candidate for the Best Researcher Award. His ability to merge theory with practical applications, particularly in renewable energy and thermal management, speaks to his potential to drive significant advancements in sustainable energy solutions. With continued focus on sustainability metrics and expanded international collaborations, Abdollahi could further solidify his impact as a leading researcher in mechanical and energy engineering.

Zahra Barati | epidemiology | Best Researcher Award

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Ms. Zahra Barati | epidemiology | Best Researcher Award

Zahra Barati at  Isfahan University of Medical Sciences, Isfahan, Iran📝

Zahra Barati is a skilled epidemiologist with a strong foundation in public health research and statistical analysis. She has demonstrated excellence in academic achievements, teaching, and leadership within her field. As a distinguished student and a dedicated researcher, Zahra has contributed to significant research in infectious disease epidemiology, including a recent thesis on bovine brucellosis, and has received multiple recognitions for her academic and professional contributions.

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Education 🎓

Zahra Barati holds a Master’s degree in Epidemiology (MSc) from the School of Health, Isfahan University of Medical Sciences, completed in February 2024. Her thesis, supervised by Professor Shahrokh Izadi, focused on “Bovine Brucellosis, Associated Risk Factors, and Preventive Measures in Industrial Cattle Farms.” During her master’s program, Zahra acquired extensive knowledge in epidemiology and biostatistics, covering topics such as epidemiological methods, statistical methods in epidemiology, and the epidemiology of infectious and non-communicable diseases. She completed her Bachelor’s degree in Public Health at Semnan University of Medical Sciences, Iran, in June 2016.

Professional Experience 💼

Zahra has been actively involved in teaching, research, and leadership roles throughout her academic journey. She instructed undergraduate students in public health internship courses at Semnan University of Medical Sciences. Additionally, she served as Secretary of the Epidemiology and Biostatistics Student Scientific Association at Isfahan University of Medical Sciences, leading workshops and activities for two years. Her professional accomplishments also include being recognized as an outstanding employee at Semnan Medical Sciences Health Center (2017-2019) and winning the Red Crescent First Aid Competition at Semnan University of Medical Sciences in 2018.

Research Interests 🔬

Zahra’s research focuses on designing and conducting epidemiological studies with a particular interest in infectious and non-communicable diseases. Her expertise includes cross-sectional, case-control, cohort studies, clinical trials, and vaccine studies. Additionally, she has specialized skills in multivariate analysis, survival analysis, and statistical software (SPSS and Stata).

Author Metrics 🏆

Zahra Barati has contributed to the field of epidemiology through various academic presentations, including poster and speaking engagements at the International Congress of Epidemiology, where she shared her research findings. Her work has been well-received within academic circles, highlighting her expertise in public health issues and infectious disease epidemiology. Her research outputs, particularly in the areas of bovine brucellosis and COVID-19, showcase her ability to conduct and interpret complex epidemiological studies, contributing valuable insights to the field. Zahra’s author metrics reflect her growing influence in epidemiology, as evidenced by her active participation in international conferences and scientific associations, with future publication opportunities anticipated as she continues to expand her research portfolio.

Publications Top Notes 📚
  1. “Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study”
    • Authors: Mehri, A., Sotoodeh Ghorbani, S., Farhadi-Babadi, K., Rahimi, E., Barati, Z., Taherpour, N., et al.
    • Journal: Journal of Intensive Care Medicine
    • Year: 2023
    • Volume and Issue: 38(9)
    • Pages: 825-837
    • Summary: This study systematically reviews and performs a meta-analysis on data regarding COVID-19 severity and mortality in Iran, identifying significant risk factors linked to adverse outcomes. The research synthesizes findings from multiple studies to provide insights on how demographic, health-related, and environmental factors impact COVID-19 outcomes, aiding in targeted public health interventions.
  2. “Bovine Brucellosis, Associated Risk Factors and Preventive Measures in Industrial Cattle Farms: A Case-Control Study”
    • Authors: Izadi, S., Moghaddas, V., Feizi, A., Bahreinipour, A., Barati, Z.
    • Journal: Heliyon
    • Year: 2024
    • Summary: This case-control study investigates the risk factors and preventative strategies for bovine brucellosis in industrial cattle farms. The paper provides a comprehensive analysis of management practices, environmental factors, and other variables that contribute to the incidence of brucellosis. The findings offer actionable recommendations for reducing infection rates and implementing effective control measures in cattle farms.

Conclusion

Zahra Barati stands out as a highly capable epidemiologist with a strong foundation in research, teaching, and leadership within her field. Her academic achievements, combined with her professional recognitions and technical expertise, make her an excellent candidate for the “Best Researcher Award.” To maximize her research impact and further her career, Zahra could focus on increasing her publication count, expanding her research scope, and seeking more international collaborations. Given her dedication and accomplishments, Zahra is well-positioned for this award and demonstrates great potential to continue contributing to public health and epidemiology.

Steven Weidong Su| Distributed system| Top Researcher Award

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Prof. Steven Weidong Su | Distributed system | Top Researcher Award

Professor, Shandong First Medical University,China📝

Professor Steven Su is a leading researcher and educator in the fields of medical AI, robotics, and systems control. With a Ph.D. from ANU, he has held significant academic and leadership roles at institutions like Shandong First Medical University and UTS. He is recognized for his work on AI Exoskeletons for stroke rehabilitation and the development of novel medical sensors. As a senior member of IEEE and an editor for several prestigious journals, he continues to shape the future of engineering and medical technologies through his teaching, research, and professional contributions.

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Education 🎓

Professor Steven Su holds a Ph.D. in Statistical Optimisation and its Application in Modelling and Control from the prestigious Australian National University (ANU). He completed both his Master of Engineering in Automation Engineering and Bachelor of Engineering in Automation at the Harbin Institute of Technology in China. His advanced education in engineering and optimisation theory has laid the foundation for his distinguished career in research and teaching, where he has made significant contributions to fields such as robotics, medical AI, and systems control.

Professional Experience 💼

Professor Steven Su has over 15 years of experience in academia, with a strong focus on teaching, research, and leadership in the fields of engineering and medical AI. He currently serves as the Associate Dean (Teaching and Education) at the College of Medical Artificial Intelligence and Big Data at Shandong First Medical University, overseeing academic programs and research leadership for 3,000 students and 130 faculty members. Previously, he was a Senior Lecturer and Associate Professor at the University of Technology Sydney (UTS), where he directed postgraduate programs and developed cutting-edge projects, including AI-powered exoskeletons for stroke rehabilitation. His leadership extends to roles such as Chief Technical Officer at Sydney Robotics Academy, guiding robotics competitions and innovation. With a background in process modeling and control, he has held roles at the University of New South Wales and contributed significantly to medical and industrial research projects.

Research Interests 🔬

Professor Steven Su’s research focuses on the integration of advanced engineering principles with medical applications, particularly in wearable and portable monitoring devices, robotic modeling and control, and machine learning. His work explores the potential of smart sensing and the Internet of Things (IoT) to develop innovative solutions for healthcare, including rehabilitation robotics, AI-powered medical devices, and systems for personalized health monitoring. He is particularly interested in the modeling and control of systems used in wearable technologies, with a strong emphasis on medical AI and its application in rehabilitation robotics. Additionally, his research delves into biomedical signal processing and the development of intelligent systems for clinical environments. Professor Su has contributed to the advancement of AI-exoskeletons and other assistive technologies aimed at improving patient care, particularly for stroke survivors. His research bridges the gap between engineering, medical science, and technology, with a focus on improving healthcare outcomes.

Author Metrics 🏆

  • Publications: Professor Su has authored numerous papers in journals like Int. J. Circuit Theory & Applications, International Journal of Advanced Robotic Systems, and Applied Soft Computing.
  • Citations: His work on robotics, AI, and medical technologies has been cited widely within the research community.
  • Editorial Roles: Associate Editor for International Journal of Advanced Robotic Systems (2017-2020), Editorial Member for Applied Soft Computing (2014-2017), and Editor for Int. J. Circuit Theory & Applications (2021-present).

Publications Top Notes 📚

  1. Backstepping control of electro-hydraulic system based on extended-state-observer with plant dynamics largely unknown
    • Authors: Q Guo, Y Zhang, BG Celler, SW Su
    • Journal: IEEE Transactions on Industrial Electronics
    • Volume: 63, Issue: 11
    • Pages: 6909-6920
    • Year: 2016
    • Citation Count: 237
  2. Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
    • Authors: H Candra, M Yuwono, R Chai, A Handojoseno, I Elamvazuthi, HT Nguyen, …
    • Conference: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    • Year: 2015
    • Citation Count: 179
  3. Nonlinear modeling and control of human heart rate response during exercise with various work load intensities
    • Authors: TM Cheng, AV Savkin, BG Celler, SW Su, L Wang
    • Journal: IEEE Transactions on Biomedical Engineering
    • Volume: 55, Issue: 11
    • Pages: 2499-2508
    • Year: 2008
    • Citation Count: 179
  4. Identification and control for heart rate regulation during treadmill exercise
    • Authors: SW Su, L Wang, BG Celler, AV Savkin, Y Guo
    • Journal: IEEE Transactions on Biomedical Engineering
    • Volume: 54, Issue: 7
    • Pages: 1238-1246
    • Year: 2007
    • Citation Count: 167
  5. Neural adaptive backstepping control of a robotic manipulator with prescribed performance constraint
    • Authors: Q Guo, Y Zhang, BG Celler, SW Su
    • Journal: IEEE Transactions on Neural Networks and Learning Systems
    • Volume: 30, Issue: 12
    • Pages: 3572-3583
    • Year: 2018
    • Citation Count: 152
  6. Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
    • Authors: M Yuwono, BD Moulton, SW Su, BG Celler, HT Nguyen
    • Journal: Biomedical Engineering Online
    • Volume: 11, Article Number: 1-11
    • Year: 2012 (Note: This seems to be a 2012 publication based on the context of other similar works)
    • Citation Count: 109

Conclusion

Professor Steven Weidong Su’s qualifications, leadership, and contributions to medical AI and robotics make him a strong contender for the Top Researcher Award. His pioneering work in integrating engineering with healthcare technologies—particularly in stroke rehabilitation and wearable health devices—has the potential to transform healthcare systems globally. With his track record of high-impact publications, leadership roles in academia, and dedication to improving patient outcomes through technological advancements, he has demonstrated exceptional academic and professional achievements.

K S SHINY | WOOD SCIENCE AND TECHNOLOGY | Best Researcher Award

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Dr. K S SHINY | WOOD SCIENCE AND TECHNOLOGY | Best Researcher Award

POST DOCTORAL FELLOW, IWST Bangalore, India📝

Dr. K.S. Shiny is a seasoned Research Scientist with over 16 years of expertise in biotechnology, clinical research, and environmental applications. He has led various projects focused on biological and chemical research, with an emphasis on developing eco-friendly solutions for pest control and wood protection. He has published extensively and holds several patents, including one for a natural wood preservative formulation. Dr. Shiny has received numerous awards, including the prestigious Ron Cockcroft Award (RCA) in 2022, for his contributions to the field of wood protection.

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Scopus

Education 🎓

Dr. K.S. Shiny holds a Ph.D. in Biochemistry from the Central Institute of Fisheries Technology (ICAR), Cochin, awarded by Cochin University of Science and Technology (CUSAT), Kerala, in 2009. His doctoral thesis focused on “Biochemical Studies on the Protective Effect of Taurine on Experimentally Induced Myocardial Infarction in Rats.” Prior to his Ph.D., he completed his M.Sc. in Biochemistry from the University of Kerala in 2000, where he secured 71%. Dr. Shiny also holds a B.Sc. in Chemistry from Mahatma Gandhi University, Kerala, where he excelled academically, achieving a score of 88.3% in 1998.

Professional Experience 💼

Dr. K.S. Shiny has over 16 years of extensive experience in research and development within the biotechnology industry, specializing in pre-clinical and clinical studies, as well as the application of biotechnological solutions across various sectors, including agriculture and forestry. He has worked in several prestigious Indian research institutes, where he led and managed cutting-edge research projects, focusing on biological assays, biochemical analysis, and the development of novel formulations for wood protection. Dr. Shiny has also demonstrated proficiency in project management, mentoring, scientific writing, and regulatory affairs. His expertise extends to the design and execution of experiments, data analysis, and successful grant applications for national and international research projects. Additionally, Dr. Shiny has actively contributed to the development of new products and techniques, such as the biologically synthesized nanoparticle formulation for termite management, and has published numerous papers in peer-reviewed journals. His work has been recognized through several awards and fellowships, including the Ron Cockcroft Award and Young Scientist Award from DST-SERB.

Research Interests 🔬

Dr. K.S. Shiny’s research interests lie at the intersection of biotechnology, environmental science, and biochemistry, with a focus on developing sustainable and innovative solutions for industry challenges. He is particularly interested in pre-clinical and clinical research, the biological synthesis of nanoparticles, and the development of natural products for applications in wood protection, pest management, and environmental sustainability. His work also explores the potential of plant-derived oils and other natural substances as eco-friendly alternatives to conventional chemical treatments. Dr. Shiny is passionate about advancing the field of biochemistry, particularly through the development of novel biochemical assays and statistical tools for data analysis. His research is also centered around enhancing the efficacy of biological formulations in agricultural and forestry sectors, and improving the safety and sustainability of industrial processes through biotechnological advancements.

 

Author Metrics 🏆

  • Publications: Numerous articles in peer-reviewed international journals.
  • Awards and Recognitions:
    • Ron Cockcroft Award (RCA), 2022
    • AWSAR Award 2018 (PDF Category), DST, Govt. of India
    • Young Scientist Award, DST-SERB (2013-2016)
    • Best Poster Award, NANO INDIA 2019
    • Patent: Natural wood preservative formulation from coconut shell pyrolytic oil (Patent No. 440779).

Publications Top Notes 📚

  1. Brischke, et al., K.S. Shiny et al. (2024). International joint field trial on the moisture performance of wood – Setup and first results. IRG/WP 24-40996, IRG Secretariat, Stockholm, Sweden.
    • Publication Type: Conference Paper
    • Publisher: IRG Secretariat
    • Location: Stockholm, Sweden
    • Year: 2024
    • Link: IRG/WP 24-40996 (Conference proceedings)
  2. Shiny, K. S., Sundararaj, R., & Mamatha, N. (2022). A new approach to wood protection: Potential of biologically synthesized CuO and ZnO nanoparticle formulation as a wood preservative. IRG/WP 22-30758, IRG Secretariat, Stockholm, Sweden.
    • Publication Type: Conference Paper
    • Publisher: IRG Secretariat
    • Location: Stockholm, Sweden
    • Year: 2022
    • Link: IRG/WP 22-30758 (Conference proceedings)
  3. Shiny, K. S., & Sundararaj, R. (2021). Biologically synthesised copper oxide and zinc oxide nanoparticle formulation as an environmentally friendly wood protectant for the management of wood borer, Lyctus africanus. Maderas-Ciencia y Tecnologia, 23:49, 1-21.
  4. Shiny, K. S., Nair, S., Mamatha, N., & Sundararaj, R. (2021). Decay resistance of wood treated with copper oxide nanoparticles synthesised using leaf extracts of Lantana camara L. and Nerium oleander L. Wood Material Science & Engineering, DOI: 10.1080/17480272.2021.1934728.
  5. Shiny, K. S., Sundararaj, R., Mamatha, N., & Lingappa, B. (2019). A new approach to wood protection: Preliminary study of biologically synthesized copper oxide nanoparticle formulation as an environmentally friendly wood protectant against decay fungi and termites. Maderas-Ciencia y Tecnologia, 21(3):347-356.
    • Journal: Maderas-Ciencia y Tecnologia
    • Volume: 21
    • Issue: 3
    • Pages: 347-356
    • Year: 2019
    • Impact Factor: 1.57

Conclusion

Dr. K.S. Shiny is a deserving candidate for the Best Researcher Award due to his extensive experience, innovative research in environmentally sustainable wood protection, and his impactful contributions to the field. His patented solutions and recognition from prestigious institutions further strengthen his qualifications. With minor improvements in expanding his research applications and collaborations, Dr. Shiny has the potential to make an even greater impact on industry and environmental sustainability. His dedication to advancing eco-friendly technologies and his continuous pursuit of innovative solutions make him a strong contender for this prestigious award.

Samson Abiodun| Fluid flow and computational modeling | Best Researcher Award

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Dr. Samson Abiodun| Fluid flow and computational modeling | Best Researcher Award

Senior , University of Pretoria, South Africa📝

Dr. Samson Abiodun is a seasoned researcher and academic in the field of mechanical engineering with a focus on heat transfer, aerodynamics, renewable energy, and computational mechanics. He holds a Ph.D. from the University of Pretoria and has extensive teaching and research experience at leading institutions in South Africa and Nigeria. His work addresses key issues in energy conversion systems, fluid dynamics, and renewable energy, aiming to contribute solutions for sustainable and energy-efficient technologies. Dr. Abiodun is passionate about advancing the integration of machine learning and energy optimization in both academic and industry settings.

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Education 🎓  

Dr. Samson Abiodun holds a Ph.D. in Mechanical Engineering from the University of Pretoria, South Africa, where he researched convective heat transfer in rectangular wind channels using various grooved geometries. He also earned a Master of Engineering (MEng) from the Federal University of Technology Minna, Nigeria, in 2010, where his thesis focused on the computational modeling and experimental study of solar water heaters. Additionally, he completed a B.Tech. in Mechanical Engineering from Ladoke Akintola University of Technology, Nigeria, in 2006, with a thesis on the experimental analysis of heat transfer in an electrical dryer for yam flour chunk.

Professional Experience 💼

Dr. Abiodun has held several academic positions, currently serving as a Research Fellow at the Tshwane University of Technology in Pretoria, South Africa, where he specializes in aerodynamics, energy conversion systems, and computational mechanics. He is also a Senior Lecturer at Aasa SA – University of Ibadan, Nigeria, focusing on aerodynamics and energy conversion systems. Previously, he worked as a Lecturer I at Olabisi Onabanjo University, Nigeria, contributing to research in renewable energy and energy storage systems. Dr. Abiodun has also taught at the University of Pretoria and Covenant University in Nigeria, where he gained extensive experience in thermodynamics, fluid mechanics, and renewable energy systems. Additionally, he has practical experience as a Graduate Engineer at Ajaokuta Steel Company, Nigeria, where he worked on turbine and pump design and operation.

Research Interests 🔬

Dr. Abiodun’s research interests lie at the intersection of Computational Fluid Dynamics (CFD), aerodynamics, heat transfer enhancement, clean energy, and renewable energy. His work involves modeling fluid-solid interaction, multiphase flow, and phase change materials. He is also focused on system modeling and optimization, incorporating machine learning techniques, and has expertise in sizing and design of building services for energy efficiency in mechanical and electrical systems (M&E). His research includes both computational and experimental approaches to solve engineering challenges in energy conversion systems, renewable energy, and sustainable design.

 

Author Metrics 🏆

Dr. Abiodun has received multiple honors and research grants throughout his career, including the David Oyedepo Award for best publication in 2013, the Saitome Principe Scholarship for MEng. study (2008-2009), and several postgraduate scholarships from the University of Pretoria and National Research Foundation (NRF). His work has been recognized by research grants such as the University-Based Research Grant 2022. He has published numerous articles on energy systems, CFD, and renewable energy, contributing to advancing knowledge in sustainable engineering solutions.

Publications Top Notes 📚

  1. Synthesis, DFT investigation, molecular docking analysis, ADMET studies, and biological evaluation of a novel series of imidazolidinone derivatives as potential antimicrobial agents
    • Journal: Journal of Molecular Structure
    • Publication Date: November 2024
    • DOI: 10.1016/j.molstruc.2024.140586
    • Contributors: Ahmed I. Khodair, Dalia R. Imam, Nabila A. Kheder, Asmaa M. Fahim, Ahmed A. El-Barbary
  2. New bis-hydantoin/thiohydantoin derivatives: Regioselective synthesis, antibacterial activity, molecular docking, and computational insights
    • Journal: Journal of Molecular Structure
    • Publication Date: May 2024
    • DOI: 10.1016/j.molstruc.2024.137565
    • Contributors: Ahmed I. Khodair, Aya I. Metwally, Nabila A. Kheder, Mohsen M.T. El-Tahawy
  3. Camptothecin structure simplification elaborated new imidazo[2,1-b]quinazoline derivative as a human topoisomerase I inhibitor with efficacy against bone cancer cells and colon adenocarcinoma
    • Journal: European Journal of Medicinal Chemistry
    • Publication Date: February 2024
    • DOI: 10.1016/j.ejmech.2023.116049
    • Contributors: Ahmed I. Khodair, Salwa M. El-Hallouty, Brittnee Cagle-White, May H. Abdel Aziz, Mahmoud Kh. Hanafy, Samar Mowafy, Nadia M. Hamdy, Shaymaa Kassab
  4. Design, synthesis, molecular modelling and antitumor evaluation of S-glucosylated rhodanines through topo II inhibition and DNA intercalation
    • Journal: Journal of Enzyme Inhibition and Medicinal Chemistry
    • Publication Date: December 31, 2023
    • DOI: 10.1080/14756366.2022.2163996
    • Contributors: Ahmed I. Khodair, Fatimah M. Alzahrani, Mohamed K. Awad, Siham A. Al-Issa, Ghaferah H. Al-Hazmi, Mohamed S. Nafie
  5. Design, Synthesis, Computational Investigations, and Antitumor Evaluation of N-Rhodanine Glycosides Derivatives as Potent DNA Intercalation and Topo II Inhibition against Cancer Cells
    • Journal: ACS Omega
    • Publication Date: April 11, 2023
    • DOI: 10.1021/acsomega.3c00641
    • Contributors: Ahmed I. Khodair, Fatimah M. Alzahrani, Mohamed K. Awad, Siham A. Al-Issa, Ghaferah H. Al-Hazmi, Mohamed S. Nafie

Conclusion

Dr. Samson Abiodun is a highly deserving candidate for the Best Researcher Award based on his extensive expertise, multidisciplinary approach, and significant contributions to sustainable energy solutions and computational mechanics. His ability to combine fundamental engineering principles with modern computational tools and machine learning techniques sets him apart as a leader in his field. With his continued research into clean energy and energy-efficient technologies, Dr. Abiodun stands out as a researcher who not only advances academic knowledge but also provides valuable insights and innovations with potential for global impact.