Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

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Mrs. Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

Vels Institute of Science, Technology & Advanced Studies (VISTAS) | India

Author Profile

Google Scholar

✅ Suitability Summary

Mrs. Vijitha Sriramulu is a dedicated academician with over 7.6 years of teaching experience in Computer Science and Engineering. Her career objective is to align individual growth with institutional goals by contributing to teaching, research, and academic development. With strong subject knowledge in Software Engineering, Cloud Computing, Data Structures, and Artificial Intelligence, she blends academic responsibilities with a passion for innovation. Her ongoing Ph.D. at Vels University highlights her commitment to continuous learning. Known for her active role in academic coordination, curriculum development, and technical event organization, she is a valuable asset to any academic institution.

🎓 Education & Experience

Mrs. Vijitha holds an M.E. in CSE from Vel’s University with First Class and Distinction (80.45%) and a B.E. in CSE from Anna University with First Class (74%). She completed HSC with 90.20% and SSLC with 80.50%. Her academic experience includes roles as Assistant Professor at:

  • St. Anne’s College of Engineering & Technology (2011–2013),

  • Vel Tech University (2020–2021),

  • Vels University (2021–Present).
    She is currently pursuing her Ph.D. in Computer Science at Vels University, Chennai.

📜 Professional Development

She has completed certifications from top platforms:

  • NPTEL – Software Engineering, Privacy & Security, Data Science

  • COURSERA – Python Data Structures, Algorithms, Graphs, Strings

  • Udemy – SQL Bootcamp

  • Great Learning Academy – Java, R, Machine Learning, Model Deployment

She is IBM Certified in Object-Oriented Analysis and Design using UML and is a member of the Indian Society for Technical Education (ISTE). Her leadership roles include:

  • IBM Coordinator

  • Industrial Visit Coordinator

  • Value-Added Course Coordinator

  • Curriculum and Syllabus In-charge

She has organized multiple events such as workshops, seminars, webinars, and an international conference on Computational Intelligence.

🔬 Research Focus

Her research spans across modern technologies including:

  • AI & ML – Breast Cancer Prediction, Emotion Detection, Battery Failure Detection

  • Blockchain – Decentralized Marketplaces, Health Prediction Systems

  • Cloud Computing – Resource Allocation, Data Privacy, E-Records in Healthcare

  • IoT & Smart Systems – Crowd Management, Virtual Reality in Surgery, Precision Agriculture

Her contributions include:

  • 15+ Journal Publications (SCI, Scopus, UGC)

  • 10+ Conference Papers (IEEE, National)

  • 3 Book Chapters (Blockchain, AI)

  • 3 Books Authored – AI Concepts, Design and Analysis of Algorithms, Data Structures using C

  • 4 Patents Filed – covering IoT, VR, COVID-19 Prediction, and E-Commerce Pricing

  • TNSCST Funded Student Project (2022–2023)

🏆 Honors & Awards

  • Rank Holder (M.E.) – Received medal from Dr. A.P.J. Abdul Kalam in 2014

  • Achieved 3500+ Hackos on HackerRank and HackerEarth

  • Served as IEEE Reviewer for conferences like:

    • SASI-ITE’24

    • IC2PCT-2024

    • IC-ETITE’24

  • Committee member in institutional events:

    • Vels Salute

    • Vels Nakshatra

    • Viksit Bharat

Her accolades, publications, and leadership in both academic and research spheres reflect her well-rounded excellence in the field of Computer Science.

📖Publications

Neural Network Implementation for Battery Failure Detection in Electric Vehicles

    • Authors: S. Vijitha, D. Hebri, S. Singh, M. Manohara, M. Ishrat, D.R. Joseph

    • Journal/Conference: 2023 International Conference on Innovative Computing, Intelligent Systems and Applications

    • Year: 2023

Blockchain-Based Infrastructure for Precision Agriculture

    • Authors: A. Packialatha, S. Vijitha, A. Sangeetha, K. Seetha Lakshmi

    • Journal/Conference: Integrating Blockchain and Artificial Intelligence for Industry 4.0 (Book/Chapter or Conference Proceedings)

    • Year: 2023

Data Structures Concepts and Practices using C

    • Authors: G.S. V. Lavanya, K. Jancy Rani

    • Journal/Conference: Book (Likely textbook or academic publication)

    • Year: 2025

Steganography Using Improved Diffie Hellman Algorithm and Elliptic Curve Cryptography

    • Author: P.P. Anandan R

    • Journal/Conference: IEEE Xplore

    • Year: 2025

Blockchain-based Decentralized Identifier in Metaverse Environment for Secure and Privacy Preserving Authentication with Improved Key Management and Cryptosystem

    • Author: A. R

    • Journal/Conference: Peer-to-Peer Networking and Applications

    • Year: 2025

 Edge AI: Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics

    • Authors: S.S. Sagar Choudhary, Dokku Durga, Bhavani, Bhuvaneswari, N. Mohit Tiwari

    • Journal/Conference: Web of Science indexed publication (exact journal not specified)

    • Year: 2025

 

Pengwei Jin | Digital Government Governance | Best Researcher Award

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Dr. Pengwei Jin | Digital Government Governance | Best Researcher Award

Ningbo University of Finance and Economics | China

Author Profile

Scopus

✅ Suitability Summary

Dr. Pengwei Jin is a rising academic leader and researcher in Digital Economic Law, demonstrating exceptional capacity in interdisciplinary research, policy development, and academic innovation. As Vice President of the International Business Research Institute at Ningbo University of Finance and Economics, Dr. Jin has led and collaborated on over 20 projects including key initiatives at the municipal and provincial levels. With a strong publication record, patent applications, and international presentations, he is a highly suitable candidate for the Best Researcher Award, reflecting both scholarly excellence and real-world impact in digital governance.

🎓 Education & Experience

Dr. Jin is set to receive his Ph.D. in Economic Law from East China University of Political Science and Law (2023). He is currently engaged at Ningbo University of Finance and Economics in the College of International Economics and Trade. His academic background blends law, digital economy, and governance, creating a rare niche of legal-tech expertise. He has authored one monograph, published two SSCI and four CSSCI core journal papers, and holds multiple patents and copyrights—demonstrating a consistent trajectory of academic productivity and interdisciplinary competence.

📜 Professional Development

Dr. Jin actively contributes to the broader academic and policy community. He serves as a special invited reviewer for the journal Energy Research and Management, is a member of both the China Law Society and the China Society of Finance and Taxation Law, and leads key provincial projects supported by the Zhejiang Law Society and Philosophy & Social Sciences Foundation. His leadership at the Collaborative Innovation Center for Bulk Commodity Digital Supply Chain and AI reflects strong alignment with digital transformation goals at both the academic and policy levels.

🔬 Research Focus

Dr. Jin’s work centers on Digital Government Regulation, Digital Economy, and Legal Governance. His current projects include government digital law frameworks, AI-powered supply chains, and interdisciplinary applications of law in tech innovation. He has completed or is leading 10 research projects and 10 consultancy/industry projects, with a citation count of over 230. His research translates directly into applied fields, demonstrated through patents, software innovations, and cross-sectoral deployments, including municipal collaborations and academic conferences.

🏆 Honors & Awards

  • Head of Zhejiang Collaborative Innovation Center for AI Supply Chains

  • Principal Investigator for multiple key provincial projects (2025)

  • Reviewer appointment for indexed energy and governance journals

  • Monograph and SSCI/CSSCI publications with high citation impact

  • Patent holder and software copyright developer

  • Guided multiple international-level researchers and presenters

  • Successfully implemented industry-applied legal innovations in 3 real-world projects

📖Publication

Digital budget supervision governance and local government fiscal transparency
  • Year: 2025

Xiang Li | Optimization Techniques | Best Researcher Award

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Mr. Xiang Li | Optimization Techniques | Best Researcher Award

China Three Gorges University | China

Author Profile

Scopus

🎓 Education & Experience

Professor Xiang Li, born in 1979, holds a Ph.D. in Mechanical Design and Theory from Wuhan University of Technology, awarded in 2011. He enriched his academic training with a research stint at the Royal Melbourne Institute of Technology (RMIT), Australia, in 2010. Currently serving as a Professor and Master’s Supervisor at the College of Mechanical and Power Engineering, China Three Gorges University, he brings over a decade of experience in academia, research, and industry collaboration. His expertise lies in mechanical system innovation, intelligent design, and structural mechanics, making him a key academic and technical figure in his field.

✅ Suitability Summary

Professor Li is exceptionally well-suited for leadership roles in research, education, and industrial innovation. He combines a solid academic foundation with extensive practical experience, demonstrated by over 50 academic publications—more than 20 indexed in SCI/EI—alongside 23 invention patents, 9 of which have been successfully commercialized. His project leadership spans 4 National Natural Science Foundation grants, 6 provincial-level initiatives, and more than 20 enterprise-commissioned R&D efforts. His active role as a peer reviewer for leading SCI journals and core domestic journals highlights his reputation in both national and international research communities.

📜 Professional Development

Throughout his career, Professor Li has continually advanced professionally through academic leadership and scientific service. He is a recognized review expert for the National Natural Science Foundation of China and a Senior Member of the Chinese Mechanical Engineering Society. He serves as a Council Member of the Mechanical Design and Transmission Committee of the Hubei Mechanical Engineering Society. He is also acknowledged as a Yichang City Academic Leader and has been honored as a “151” Academic Backbone Talent at China Three Gorges University. In addition to his academic work, he maintains strong industry engagement, contributing to applied research in modular robotics, drilling equipment, and automation systems.

🔬 Research Focus

Professor Li’s research is centered on advanced structural design and intelligent systems. His primary areas include lightweight technology, intelligent equipment design, innovation in porous and biomimetic structures, and the integrated design of materials, structures, and functions. He has made notable contributions to crashworthiness, energy absorption, and structural optimization through numerical simulation and experimental validation. His innovative work on gradient hierarchical honeycomb-like structures has led to significant developments in aerospace, automotive, and robotics applications.

🏆 Honors & Awards

Over the years, Professor Li has received multiple accolades and recognitions. He has successfully led several national and provincial projects, including key funding from the NSFC and the Hubei Department of Education. His practical research has led to the commercialization of nine patented technologies, showcasing strong industry impact. His contributions have earned him reviewer roles for prestigious international journals such as International Journal of Crashworthiness, Materials & Design, Composite Structures, and Thin-Walled Structures. His standing as a thought leader is further reinforced by his roles in academic societies and editorial activities.

📖Publications

Quasi-static crushing behavior of three-dimensional hexagonal reentrant structures
  • Authors: Not specified (missing)
  • Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • Year: 2025
Crashworthiness of a novel bionic quasi-honeycomb structure based on variable cross-section design
  • Authors: Not specified (missing)
  • Journal: Fuhe Cailiao Xuebao (Acta Materiae Compositae Sinica)
  • Year: 2025
Laser powder bed fusion of Ti6Al4V graded scaffold for local stiffness matching
  • Authors: Not specified (missing)
  • Journal: Materials Today Communications
  • Year: 2025

Rashed Nawaz | Public health | Best Researcher Award

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Dr. Rashed Nawaz | Public health | Best Researcher Award

Luohe Medical College | China

Author Profile

Scopus

👤 Summary

I am Rashed Nawaz, a motivated academic and researcher with a PhD in Public Policy and Administration from Xi’an Jiaotong University, China. With over 10 years of experience in research and teaching, I specialize in health policy, public administration, and human resource management. I have published extensively in top-tier SSCI journals and am passionate about contributing to academic excellence and policy research globally.

🎓 Education

I earned my PhD from Xi’an Jiaotong University (2018–2023), focusing on health human resources and maternal-child healthcare outcomes. Before that, I completed an MS in Management Sciences from Hazara University, Pakistan, and a BBA (Honors) in Finance from the same university. I also hold a Higher Secondary Certificate in Pre-Engineering from BISE Pakistan.

💼 Professional Experience

Currently, I am a Research Associate at Luohe Medical College, Henan, China. Previously, I worked as a Lecturer at the Hope Institute of Science and Technology, Pakistan, and as a Visiting Lecturer at Hazara University. My roles included teaching, research, and administrative duties, contributing to the academic development of students at both undergraduate and postgraduate levels.

📚 Teaching Experience

I have taught courses such as Human Resource Management, Business Research Methods, Strategic Management, Financial Management, and Entrepreneurship. My teaching experience spans bachelor’s and master’s programs, where I have guided students in both theoretical concepts and practical applications.

🔬 Research Interests

My research focuses on public policy, health equity, health human resources, and innovation management. I have a particular interest in maternal and child health outcomes, health system performance, and socioeconomic inequalities in healthcare access.

🛠️ Technical Skills

I am proficient in statistical software including SPSS, AMOS, and Smart-PLS, and have strong skills in MS Office tools such as Word, Excel, and PowerPoint. I am fluent in English and Urdu, with intermediate proficiency in Chinese (HSK Level III).

📄 Academic Publications & Citations

I have authored and co-authored over 25 peer-reviewed articles in high-impact SSCI journals including PLoS ONE, BMC Public Health, and Journal of Health, Population and Nutrition. My publications address key issues in health policy, healthcare workforce distribution, and public health outcomes in Pakistan and China.

📖Publications

Association of Health Human Resources Distribution and Neonatal Mortality: The Mediating Role of Maternal and Child Healthcare Services

Authors: Rashed Nawaz, Zhou Z., Shaoqing G., Khalid N.
Journal: Journal of Health, Population and Nutrition
Year: 2025 (Accepted on June 3, 2025)

 Association between Antenatal Care Visits and Under-Five Mortality: An Analysis of the Pakistan Demographic and Health Surveys

Authors: Nawaz R., Khalid N., Zhou Z.
Journal: PLoS ONE
Year: 2025 (Accepted on January 2025)

Effect of Human Resources for Health Distribution to Improve Maternal and Child Healthcare Outcomes in the Public Healthcare System of Pakistan

Authors: Rashed Nawaz, Zhou Z., Khalid N.
Journal: BMC Public Health
Year: Under Review (Revision Submitted February 2025)

Association of Health Human Resources Distribution and Under-Five Mortality Based on the Context of Environmental Hygiene

Authors: Nawaz R., Zhou Z., Khalid N.
Journal: Humanities and Social Sciences Communications
Year: Under Review (Revision Received March 2025)

Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003–2013

Authors: Wang D., Nawaz R., Fan X., Shen C., Lai S., Zhou Z., Gao J.
Journal: Healthcare (MDPI)
Year: 2025 (Published January 2025, Vol. 13, No. 2, p.178)

Muhammad Asif Arain | Functional food | Best Researcher Award

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Dr. Muhammad Asif Arain | Functional food | Best Researcher Award

Lasbela University of Agriculture Water and Marine Sciences | Pakistan

PROFILE VERIFIED

Scopus

👋 INTRODUCTION

Dr. Muhammad Asif Arain is an esteemed veterinary scientist and academician at Lasbela University of Agriculture, Water and Marine Sciences, Pakistan. Specializing in Animal Product Technology, he has dedicated his career to advancing veterinary sciences, focusing on animal product safety, quality, and innovation.

🎓 EARLY ACADEMIC PURSUITS

Dr. Arain began his academic journey at Sindh Agriculture University, Tandojam, where he earned his Doctor of Veterinary Medicine (DVM) degree with first-class honors. He continued to excel by completing an M.Sc. (Hons) in Animal Product Technology with distinction, and he is currently pursuing his PhD in the same field, reflecting his ongoing commitment to learning and research.

💼 PROFESSIONAL ENDEAVORS

With over a decade of experience, Dr. Arain has served as Assistant Professor and Lecturer at LUAWMS. His practical experience includes veterinary officer roles in significant development projects funded by the United Nations and regional rural support programs. He has also contributed as a trainee in vaccine production and diagnostics, enhancing his expertise in veterinary medicine.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Arain’s research focuses on the biochemical, microbiological, and nutritional properties of animal products, especially camel and goat milk. He has worked on cutting-edge projects related to milk biodiversity, poultry immunity, and antimicrobial applications of nanoparticles, supported by major national research foundations.

📈 IMPACT AND INFLUENCE

He has published 98 research papers with over 3,300 citations and a total impact factor of 162, demonstrating his substantial contribution to veterinary science. His work has influenced both academia and industry, fostering improvements in animal health and product quality.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Arain’s recent publications include studies on the anti-diabetic effects of camel milk, nutritional supplementation in poultry, and advanced molecular analyses of dairy products. These works appear in high-impact journals, showcasing his research’s relevance and global reach.

🏆 HONORS & AWARDS

Throughout his career, Dr. Arain has been recognized for academic excellence, securing prestigious research funding, and assuming leadership roles in research management and commercialization, underscoring his dedication to advancing veterinary sciences.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As a leading expert in veterinary product technology, Dr. Arain is poised to further elevate the field with his PhD research and active involvement in teaching, research innovation, and industry collaboration. His efforts promise ongoing benefits for animal agriculture and health sectors.

✍️ FINAL NOTE

Dr. Muhammad Asif Arain is a committed scholar and researcher whose work bridges scientific discovery and practical applications. His ongoing contributions continue to enhance veterinary education, research, and animal product technologies in Pakistan and beyond.

📚 SELECTED PUBLICATIONS

  • Exploring the anti-diabetic properties of camel milk: effects on blood glucose, antioxidant defense, and organ histo-morphological features in rabbits

    • Authors: M.A. Arain, Muhammad Asif; G.B. Khaskheli, Gul Bahar; G.S. Barham, Ghulam Shabir; B.O. Almutairi, Bader Obaid; I.B. Marghazani, Illahi Bakhash

    • Journal: Journal of Molecular Histology

    • Year: 2025

  • Nutraceutical potential of essential oils in dairy animal diets: challenges and opportunities

    • Authors: A.A. Aboamer, A. A.; H.M. Ebeid, Hossam M.; F. Siddique, Faisal; M.A. Arain, Muhammad Asif; F.U. Hassan, F. Ul

    • Journal: (Not specified in your data)

    • Year: (Not specified in your data)

  • Regulation of energy metabolism by non-coding RNAs in livestock species: a review

    • Authors: F.U. Hassan, F. Ul; M. Safdar, Muhammad; M. Younus, Muhammad; M.A. Arain, Muhammad Asif

    • Journal: (Not specified)

    • Year: (Not specified)

  • An in-depth overview of the nutritional advantages of medicinal plant supplementation in poultry feed

    • Authors: A.U. Rehman, Abdur Ur; J.A. Buzdar, Jameel Ahmed; M.A. Arain, Muhammad Asif; M. Arslan, Muhammad; C. Zhou, Cunshan

    • Journal: (Not specified)

    • Year: (Not specified)

  • Nutrigenomic Potential of Mineral Nano-Particles to Modulate Poultry Health and Performance

    • Authors: A. Arsalan, Abdullah; A.U. Rehman, Abdur Ur; H. Younus, Hina; J.A. Buzdar, Jameel Ahmed; X. Qi, Xianghui

    • Journal: (Not specified)

    • Year: (Not specified)

  • Effects of in ovo supplementation of selenium (Se) and zinc (zn) on hatchability and production performance of broiler chickens

    • Authors: F. Nabi, Fazul; M.A. Arain, Muhammad Asif; M.F. Hassan, Mohammad Farooque; M.H. Almutairi, Mikhlid Hammad; J.A. Buzdar, Jameel Ahmed

    • Journal: Journal of Comparative Physiology B Biochemical Systemic and Environmental Physiology

    • Year: 2024

  • Lactoferrin’s role in modulating NF-κB pathway to alleviate diabetes-associated inflammation: A novel in-silico study

    • Authors: M.A. Arain, Muhammad Asif; G.B. Khaskheli, Gul Bahar; G.S. Barham, Ghulam Shabir; I.B. Marghazani, Illahi Bakhash

    • Journal: Heliyon

    • Year: 2024

 

Pawan Kumar | Social Impact | Best Researcher Award

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Prof. Dr. Pawan Kumar | Social Impact | Best Researcher Award

 Southern University of Science and Technology | China

Profile Verified

Orcid | Scopus

👤 Summary

Self-motivated academician committed to fostering academic and personal excellence by creating a challenging and engaging learning environment. Dedicated to nurturing lifelong scholars and researchers with a strong emphasis on interdisciplinary business management and digital transformation.

👨‍🎓 Education & Qualifications

Dr. Pawan Kumar holds a Ph.D. in Business Management from Punjabi University Patiala (2013), an MBA-Honors in Marketing with Distinction, and a B.Com with First Division. He also completed his Higher Secondary in Commerce with Distinction and earned a Diploma in Computer Management.

💼 Professional Experience & Roles

As a Professor and Research Coordinator at Mittal School of Business, Lovely Professional University (ACBSP), Dr. Kumar actively leads research initiatives, accreditation advisory, and supervises doctoral and M.Phil scholars. He serves as an editor and guest editor for several SCOPUS-indexed journals and has guided more than 11 Ph.D. and 2 M.Phil candidates.

🧠 Research & Innovation

His research spans digital transformation, consumer behavior models, neuro-marketing, and social media influence on customer engagement. Dr. Kumar holds 2 patents and 8 copyrights in innovative business and marketing systems, focusing on emerging technologies and sustainable business practices.

🖥️ Technical Skills & Certifications

Proficient in SPSS and R programming, Dr. Kumar has completed over 28 certified MOOCs in topics such as digital marketing, research methods, marketing analytics, and neuroscience—equipping him to integrate technology with business research effectively.

👩‍🏫 Teaching & Academic Contributions

With extensive teaching experience at undergraduate, postgraduate, and doctoral levels, he specializes in marketing, business management, research methodology, and data analytics. Dr. Kumar is also a trainer for students and faculty, fostering strong academic networks and lifelong learning.

📚 Academic Memberships & Editorial Work

He is a lifetime executive member of the Punjab Commerce and Management Association and serves on the editorial boards of international journals published by Inderscience. Dr. Kumar actively contributes as an advisor and examiner across multiple universities.

📚 Selected Publication

  • The green entrepreneurship landscape: drivers, outcomes, and future directions

    • Authors: Harmanpreet Singh, Pawan Kumar, Leo Paul Dana

    • Journal: International Entrepreneurship and Management Journal

    • Year: 2025

  • Data-Driven Hyper-Personalization and Innovations in Services of the B2B Hospitality industry

    • Authors: Sumesh Singh Dadwal, Pawan Kumar, Vipin Nadda, Gordon Bowen

    • Book Chapter (Not a journal)

    • Year: 2025

  • Factors influencing E-pharmacy adoption in India: A study of user experiences through interpretative phenomenological analysis

    • Authors: Kushal Pal Singh, Pawan Kumar

    • Journal: Exploratory Research in Clinical and Social Pharmacy

    • Year: 2025

  • Sustainable tourism progress: a 10-year bibliometric analysis

    • Authors: Pawan Kumar, Bindu Aggarwal, Vinod Kumar, Harish Saini

    • Journal: Cogent Social Sciences

    • Year: 2024

  • Beyond travel! What’s TRENDing in sustainable tourism? An investigation through the lens of travel influencers’

    • Authors: Dr. Harish Saini, Pawan Kumar, Prateek Kalia

    • Journal: Tourism and Hospitality Research

    • Year: 2024

Minura Samaranayake | Bioinformatics | Best Researcher Award

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Mr. Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Zhishui You | Brain-Computer Interface – South Dakota State University | United States

Profile Verified

Orcid

Minura Samaranayake is a versatile engineer and researcher with a strong foundation in software development and satellite image processing. Currently pursuing a Master’s in Electrical Engineering at South Dakota State University, he works as a Graduate Research Assistant at the Image Processing Lab, focusing on hyperspectral and multispectral image analysis. He previously worked at Sysco LABS as a Software Engineer, building scalable cloud-based systems and AI-driven applications. Proficient in Java, Python, MATLAB, and AWS, Minura excels at creating robust pipelines and intelligent systems that bridge scientific research and real-world engineering.

🎓 Education

Minura is currently enrolled in the M.S. Electrical Engineering program at South Dakota State University (2023–2025), studying Machine Learning, Optical Sensors, and Deep Learning. He earned his B.Sc. in Computer Science from the University of Peradeniya, Sri Lanka (2018–2022), where he focused on Software Project Management, Functional Programming, and Image Processing. He received the Prize for Excellence in Computer Science and was listed on the Dean’s List. His education merges theoretical depth with applied skills in software engineering and signal processing.

💼 Experience

Minura has experience in both academia and industry. At SDSU, he developed automated Linux pipelines for radiometric calibration, MTF estimation, and hyperspectral analysis. At Sysco LABS, he built REST APIs and microservices using Java (Spring Boot), integrated Apache Kafka, and automated CI/CD with Docker and GitHub Actions. He also developed an AI-based safety wear detection system with TensorFlow. His contributions span scientific research and enterprise-grade solutions, showcasing his technical versatility and team collaboration skills.

🏅 Awards and Honors

Minura has received recognition for both academic excellence and leadership. He was awarded the Prize for Excellence in Computer Science (2022) and made the Dean’s List. In addition, he was the Rugby Team Captain (2021) at the University of Peradeniya. These honors reflect his multifaceted capabilities, commitment to personal development, and ability to balance academics and extracurriculars.

🔬 Research Focus

Minura’s research centers on satellite sensor calibration, particularly hyperspectral and multispectral imagery. At SDSU, he specializes in Trend-to-Trend cross-calibration, MTF modeling, and spectral band adjustment. He works with EPICS targets to ensure the harmonization of sensors like Landsat and Sentinel. His research supports global monitoring applications in climate, agriculture, and environmental science. His peer-reviewed publication in Remote Sensing underlines his scientific contributions and commitment to data accuracy in Earth observation.

📚 Selected Publication

Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target

  • Authors: Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

  • Journal: Remote Sensing

  • Year: 2025

 

Min Cao | multimodal learning | Best Researcher Award

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Assoc Prof Dr. Min Cao | multimodal learning | Best Researcher Award

Soochow University | China

Publication Profile

Scopus

👨‍🏫 Professional Summary

Dr. Min Cao is currently an Associate Professor at the School of Computer Science and Technology, Soochow University, where he also serves as Assistant to the Dean at the Artificial Intelligence Research Institute. He is a core contributor in the field of computer vision, particularly in multimodal learning, text-based person retrieval, and person re-identification. With over 22 published papers—including in top-tier journals (SCI Q1) and prestigious conferences such as AAAI, IJCAI, and ICCV—Dr. Cao has established himself as a leading researcher. He is the recipient of multiple research grants and holds 8 authorized invention patents. Actively involved in academic service, he is the Deputy Secretary-General of the Computer Vision Special Committee of the Shanghai Computer Society and an Executive Member of CCF Suzhou.

🎓 Education

Dr. Cao received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (2016–2020), under the supervision of Professor Silong Peng. Prior to that, he completed his bachelor’s degree in Electronic Information Engineering at Tianjin Polytechnic University in 2014.

💼 Professional Experience

He began his academic career as an Assistant Professor at Soochow University from March 2020 to September 2023, before being promoted to Associate Professor in October 2023. In addition, Dr. Cao was a visiting scholar at the Fraunhofer Institute for Image Data Processing in Germany from 2018 to 2019, where he conducted cutting-edge research in image analysis.

🔬 Research Interests

Dr. Cao’s research interests span across multimodal learning, text-based person search, person re-identification, graph neural networks, and cross-modal retrieval systems. His work aims to enhance retrieval performance in low-source and open-world environments.

📚 Academic Contributions

He has published 22 peer-reviewed papers, including in high-impact journals such as IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition, and at top conferences like AAAI, IJCAI, and ACMMM. He has served as the principal investigator on multiple national and provincial-level research projects, including those funded by the National Natural Science Foundation of China. Dr. Cao also holds 8 granted patents related to image-text retrieval, anomaly detection, and multimodal learning systems.

🧑‍🏫 Teaching & Mentorship

Dr. Cao has been recognized for his commitment to teaching and student mentorship, guiding students who have received national graduate scholarships and awards for outstanding theses. In 2023, he was named Outstanding Instructor at the Global Campus Artificial Intelligence Algorithm Elite Competition.

🛠️ Technical Skills

He is proficient in machine learning and deep learning frameworks including PyTorch and TensorFlow, with strong programming skills in Python and C++. His technical toolkit also includes OpenCV, Scikit-learn, LaTeX, and tools for multimodal retrieval and graph-based learning.

🏆 Awards & Honors

His work has earned numerous accolades, including First Prize in the 2024 Suzhou Computer Society Outstanding Paper Award, Second Prize in the 2022–2023 Suzhou Natural Science Academic Paper Award, and recognition for excellence in student supervision and AI competition mentoring.

📚 Top Notes Publications

1. Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening

  • Authors: Xu, Yingjia; Wu, Mengxia; Guo, Zixin; Ye, Mang; Laaksonen, Jorma T.

  • Journal: Visual Intelligence

  • Year: 2025

2. Diversified Data Expansion Method Using Text-Based Person Image Search

  • Authors: Wang, Jingyao; Cao, Min

  • Journal: Jisuanji Gongcheng / Computer Engineering

  • Year: 2024

Ling Huang | Emerging Research Trends | Best Researcher Award

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Prof. Ling Huang | Emerging Research Trends | Best Researcher Award

Nanjing Tech University | China

PUBLICATION PROFILE

Scopus

👨‍🔬 Summary

Prof. Ling Huang is a distinguished professor at Xinjiang University in China, specializing in Inorganic Chemistry, Rare Earth Chemistry, and Functional Materials. With over two decades of research and academic experience, his work focuses on areas such as rare earth luminescence, defect engineering, and advanced material applications. His expertise has led him to significant accolades, including being named a Fellow of the Royal Society of Chemistry (FRSC). Prof. Huang has also mentored numerous graduate students and postdoctoral researchers, leaving a lasting impact on the scientific community.

🎓 Education

Prof. Huang completed his Ph.D. in Inorganic Chemistry at Nanjing University (1996 – 2001) in China, following his B.Sc. in Chemistry from Jiangsu Normal University (1992 – 1996). His academic journey laid the foundation for his future research in chemistry and materials science.

💼 Professional Experience

Prof. Huang has held several prestigious positions throughout his career. He is currently a Professor at Xinjiang University (2021 – Present). Prior to this, he served as a professor at Nanjing Tech University (2012 – 2021), and as an associate professor at Nanyang Technological University in Singapore (2009 – 2012). His industry experience includes working as a Senior Research Scientist at Corning Inc., USA (2008 – 2009). Additionally, he has been a Post-Doctoral Research Associate at Northwestern University, Florida State University, and UC Berkeley, USA, where he honed his expertise in nanomaterials and rare earth chemistry.

📚 Academic Citations

Prof. Huang has authored over 180 publications, contributing significantly to the fields of luminescence and functional materials. Notable papers include “Abnormal But Rational: Luminescence Anti-Thermal Quenching in ScPO4:Er” and “Atomic Pr-Stabilized Pt Nanoclusters Accelerate Alkaline Hydrogen Evolution”, both of which are currently under review in prestigious journals such as Nature Communications and Angewandte Chemie.

🛠️ Technical Skills

Prof. Huang’s technical expertise covers a broad range of scientific fields. He is skilled in rare earth luminescence (upconversion/downshifting, anti-thermal quenching), material synthesis (creating functional ceramics, glasses, and solid-state electrolytes), and defect engineering (optimizing properties of materials through bandgap engineering and structural manipulation).

📖 Teaching Experience

Throughout his academic career, Prof. Huang has taught various courses at both the undergraduate and graduate levels. At Nanjing Tech University, he has taught courses such as Inorganic Chemistry, Luminescent Materials, and Advanced Nanomaterials (2014 – Present). Additionally, at Nanyang Technological University, he taught Bioelectronics, Chemistry I & II, and Biomedical Nanotechnology (2009 – 2012), shaping the education of future scientists and engineers.

🔬 Research Interests

Prof. Huang’s research interests lie at the intersection of rare earth chemistry and functional materials. He investigates luminescent materials, focusing on anti-thermal quenching and chiral luminescence. His research extends to functional materials, including solid-state fuel cells and optical devices, and solid-state chemistry, where he explores defect engineering to enhance the properties of materials for a variety of applications.

📚 Top Notes Publications 

Anti-thermal quenching upconversion luminescence of Cr3+ in Sc2(WO4)3:Yb/Cr

    • Authors: Yang Wei, Shuaihao Wu, Ran Chen, Yanqing Lu, Ling Huang

    • Journal: Nano Research

    • Year: 2025

Ultra-low temperature selective catalytic reduction of NOx into N2 by micron spherical CeMnOx in high-humidity atmospheres containing SO2

    • Authors: Xixi Chen, Peng Gao, Ling Huang, Zonghang Liu, Yuesong Shen

    • Journal: Applied Catalysis B: Environmental

    • Year: 2025

Orderly Stacked “Tile” Architecture with Single-Atom Iron Boosts Oxygen Reduction in Liquid and Solid-State Zn–Air Batteries

    • Authors: Bin Zhang, Jingshuang Dang, Hongyi Li, Ling Huang, Jingui Duan

    • Journal: Advanced Functional Materials

    • Year: 2025

RbB7O10(OH)2 and NaB11O16(OH)2: alkali metal hydroxyborates with two-dimensional layered structures and large birefringence

    • Authors: Yujing Zheng, Ke Li, Ling Huang, Fangfang Zhang

    • Journal: Dalton Transactions

    • Year: 2025

Regulating the Dynamics of Interpenetrated Porous Frameworks for Inverse C2H6/C2H4 Separation at Elevated Temperature

    • Authors: Kui Tan, Jingui Duan, Ling Huang

    • Journal: Angewandte Chemie International Edition in English

    • Year: 2025

Abdulaziz Almaktoom | Resilience modeling | Best Researcher Award

Published on by Research Data Analysis

Assoc Prof Dr. Abdulaziz Almaktoom | Resilience modeling | Best Researcher Award

Effat University | Saudi Arabia

PUBLICATION PROFILE

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INTRODUCTION 🌟

Dr. Eng. Abdulaziz Turki Almaktoom is a highly distinguished academic and professional in the fields of Operations and Supply Chain Management. Holding a Ph.D. in Industrial Engineering, Dr. Almaktoom is known for his exceptional leadership, consultancy expertise, and a profound impact in higher education. As an Associate Professor and Chair of the Business Administration Department at Effat University, he has not only contributed to the academic sphere but also played an integral role in shaping the future of education in Saudi Arabia. His diverse skills span across Operations Management, Supply Chain Management, Data Analytics, Project Management, Risk Management, and many more.

EARLY ACADEMIC PURSUITS 📚

Dr. Almaktoom’s academic journey began with a keen interest in engineering and operations, leading him to pursue a Bachelor’s in Engineering Technology at Riyadh College of Technology. He continued to excel in his studies, earning a Master’s degree in Engineering Technology from Pittsburg State University, USA, before pursuing a Ph.D. in Industrial Engineering from Wichita State University, USA. His doctoral research focused on the reliability, robustness, and resilience of complex supply chain systems, showcasing his deep commitment to innovative solutions in operations.

PROFESSIONAL ENDEAVORS 💼

Dr. Almaktoom’s career is marked by a seamless blend of academia and industry. He has held significant roles such as Associate Professor, Chair of the Business Administration Department at Effat University, and Consultant for several prestigious firms in Saudi Arabia. His expertise spans across Project Management (PMP®), Risk Management (RMP®), Lean Six Sigma, and Supply Chain Analysis (CSCA®), making him a sought-after figure in both the education and business sectors. His contributions have led to the development of cutting-edge programs and curricula, helping shape future leaders in business administration and engineering.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Almaktoom’s research interests lie primarily in Operations and Supply Chain Management, with a focus on optimization techniques, systems simulation, forecasting, lean and six sigma, and quality control. He has published over 50 scientific articles in renowned international journals and conferences, contributing significantly to the field’s knowledge base. Dr. Almaktoom is particularly known for leveraging advanced methodologies like Artificial Intelligence, Metaheuristics, and Data Analytics to drive forward-thinking solutions in supply chain management.

IMPACT AND INFLUENCE 🌍

Through his innovative approach to curriculum design and leadership, Dr. Almaktoom has created a lasting impact on the education sector. He has been instrumental in the development of new programs, including Ph.D. and B.Sc. degrees in Operations and Supply Chain Management and Entrepreneurship. His influence extends beyond academia through his involvement with various organizations like the IEOM Society International and his role as an advisor and mentor to numerous students, helping them succeed both academically and professionally. His research and teaching continue to inspire students and professionals alike.

ACADEMIC CITATIONS AND PUBLICATIONS 📖

Dr. Almaktoom has gained significant recognition in the academic world for his publications, which have earned him numerous citations. Ranked among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia in 2024, his work continues to influence both the academic and professional communities. His research papers, especially those related to supply chain optimization and risk management, have been highly regarded and cited by peers in the industry.

HONORS & AWARDS 🏆

Throughout his career, Dr. Almaktoom has received numerous prestigious awards. These include being recognized as the Best Graduate Student at Wichita State University in 2015, the recipient of multiple international honors, and being ranked among the top scientists in Saudi Arabia in 2024. His accolades also include recognition for his academic excellence, including awards such as the Alpha Pi Mu Industrial Engineering Honor Society and membership in various elite organizations such as the Golden Key International Honor Society.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Almaktoom’s work has already established a strong legacy in the academic and professional sectors. His pioneering role in developing innovative programs and guiding students to success continues to set a high standard for excellence. Looking forward, he aims to further contribute to the research and development of sustainable and efficient solutions in operations and supply chain management, particularly through emerging technologies like AI and machine learning.

FINAL NOTE ✨

Dr. Abdulaziz Turki Almaktoom’s career exemplifies the power of dedication, innovation, and leadership in academia and industry. With a robust track record of impactful contributions in education, research, and professional development, Dr. Almaktoom’s legacy will undoubtedly continue to inspire future generations of students, researchers, and professionals across the globe. His forward-thinking approach and commitment to excellence ensure that his influence will resonate for years to come.

TOP NOTES PUBLICATIONS 📚

Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things

    • Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed

    • Journal: IEEE Access

    • Year: 2024

Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things”

    • Authors: A. Sasikumar, L. Ravi, M. Devarajan, A. Selvalakshmi, A.T. Almaktoom, A.S. Almazyad, G. Xiong, A.W. Mohamed

    • Journal: IEEE Access

    • Year: 2024

Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems

    • Authors: M. Bezoui, A. Kermali, A. Bounceur, S.M. Qaisar, A.T. Almaktoom

    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    • Year: 2024

Hybrid Metaheuristics for Industry 5.0 Multi-Objective Manufacturing and Supply Chain Optimization

    • Authors: M. Bezoui, A.T. Almaktoom, A. Bounceur, S.M. Qaisar, M. Chouman

    • Journal: 21st International Learning and Technology Conference: Reality and Science Fiction in Education, L and T 2024

    • Year: 2024

Multiple criteria decision-making for determining the optimal wind farm site under uncertainty

    • Authors: A.T. Almaktoom, M.M. Samkari

    • Journal: International Journal of Critical Infrastructures

    • Year: 2024