Cora Sternberg | Meta analysis | Outstanding Scientist Award

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Dr. Cora Sternberg | Meta analysis | Outstanding Scientist Award

Weill Cornell Medicine | United States

Author Profiles

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Google Scholar

Early Academic Pursuits

Dr. Cora Sternberg’s academic journey reflects her commitment to excellence from the outset. She completed her medical training with distinction and pursued advanced fellowships, including a Research Fellowship in Immunology at the National Institutes of Health (1976–1977). Her early academic roles as Teaching Assistant at Stanford and Mount Sinai, followed by Clinical Instructor at Cornell University, laid the foundation for her lifelong dedication to education and clinical research. Her Phi Beta Kappa distinction from the University of Pennsylvania marked the start of a career dedicated to innovation and leadership in oncology.

Professional Endeavors

Over four decades, Dr. Sternberg has held prestigious academic and clinical leadership roles. She was Chief of Medical Oncology at San Camillo-Forlanini Hospital in Rome and served as Professor at La Sapienza University, shaping Italy’s oncology community. Since 2018, she has been Professor of Medicine and Clinical Director of the Englander Institute for Precision Medicine at Weill Cornell Medicine and New York-Presbyterian. She has also served as a global faculty member at Temple University, Tufts University, and European institutions.

Contributions and Research Focus

Dr. Sternberg has pioneered groundbreaking research in prostate cancer, bladder cancer, and renal cell carcinoma. She was instrumental in developing practice-changing therapies such as abiraterone, enzalutamide, and darolutamide, significantly improving survival outcomes for prostate cancer patients. Her work in urothelial cancer led to the establishment of M-VAC chemotherapy and global adoption of immunotherapy protocols. She also contributed to the development of pazopanib and other targeted therapies in renal cell carcinoma. Recently, she has expanded her research focus to artificial intelligence in oncology, spearheading initiatives to integrate AI into therapeutic decision-making.

Impact and Influence

With over 546 publications, six textbooks, and more than 45,200 citations, Dr. Sternberg ranks among the World’s Top 2% Scientists (Stanford University) and the top 5% in the Doximity community for citations. She has delivered more than 835 lectures worldwide, influencing clinical practice, policy, and guidelines in oncology. Her leadership roles in international organizations such as ASCO, ESMO, ECCO, and EORTC demonstrate her far-reaching influence.

Academic Citations

Dr. Sternberg’s research impact is widely recognized. Her publications in high-impact journals such as New England Journal of Medicine, Lancet Oncology, and Journal of Clinical Oncology have shaped global treatment standards. Her works are consistently cited in clinical guidelines, trial protocols, and oncology education, affirming her stature as a thought leader in medical oncology.

Legacy and Future Contributions

Dr. Sternberg’s legacy lies not only in transformative research but also in mentorship. She has nurtured generations of oncologists, fostering innovation and translational research. Currently, she co-leads the Career Development Program in the Bladder SPORE initiative, ensuring the pipeline of future oncology leaders. Her pioneering role in AI in oncology positions her to continue shaping the future of precision medicine, bridging clinical care with technological innovation.

Conclusion

Dr. Cora Sternberg exemplifies the qualities of an Outstanding Scientist—visionary leadership, transformative research, global influence, and unwavering dedication to advancing oncology. Her lifelong contributions to clinical practice, groundbreaking research, academic mentorship, and adoption of emerging technologies ensure her lasting impact on the medical community and future generations of scientists.

Notable Publications

"Blood-Epigenetic Biomarker Associations with Tumor Immunophenotype in Patients with Urothelial Carcinoma from JAVELIN Bladder 100" 

  • Author: homas Powles; Srikala S. Sridhar; Joaquim Bellmunt; Cora N. Sternberg; Petros Grivas; Ewan Hunter; Matthew Salter; Ryan Powell; Ann Dring; Jayne Green et al.
  • Journal: Cancers
  • Year: 2025

"The Use of Artificial Intelligence for Cancer Therapeutic Decision-Making" 

  • Author: Olivier Elemento; Sean Khozin; Cora N. Sternberg
  • Journal: NEJM AI
  • Year: 2025

"Blood-Epigenetic Biomarker Associations with Tumor Immunophenotype in Patients with Urothelial Carcinoma from JAVELIN Bladder 100" 

  • Author: Thomas Powles; Srikala S. Sridhar; Joaquim Bellmunt; Cora N. Sternberg; Petros Grivas; Ewan Hunter; Matthew Salter; Ryan Powell; Ann Dring; Jayne Green et al.
  • Journal: Preprint
  • Year: 2025

"Prostate-Specific Membrane Antigen–Targeting Alpha Emitter via Antibody Delivery for Metastatic Castration-Resistant Prostate Cancer: A Phase I Dose-Escalation Study of 225Ac-J591" 

  • Author: Scott T. Tagawa; Charlene Thomas; A. Oliver Sartor; Michael Sun; Judith Stangl-Kremser; Mahelia Bissassar; Shankar Vallabhajosula; Sandra Huicochea Castellanos; Jones T. Nauseef; Cora N. Sternberg et al.
  • Journal: Journal of Clinical Oncology
  • Year: 2024

"Darolutamide Plus Androgen-Deprivation Therapy and Docetaxel in Metastatic Hormone-Sensitive Prostate Cancer by Disease Volume and Risk Subgroups in the Phase III ARASENS Trial" 

  • Author: Maha Hussain; Bertrand Tombal; Fred Saad; Karim Fizazi; Cora N. Sternberg; E. David Crawford; Neal Shore; Evgeny Kopyltsov; Arash Rezazadeh Kalebasty; Martin Bögemann et al.
  • Journal: Journal of Clinical Oncology
  • Year: 2023

 

 

Gregory Retallack | Graph Data Structures | Lifetime achievement Award

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Dr. Gregory Retallack | Graph Data Structures | Lifetime achievement Award

University of Oregon | United States

Author Profiles

Scopus

Google Scholar

Early Academic Pursuits

Dr. Gregory Retallack’s academic foundation began in Sydney, Australia, where he attended Hurstville Public School, Epping Heights Public School, and The King’s School, Parramatta. His early curiosity for the natural world led him to pursue geology and biology at Macquarie University, earning a B.A. in 1973. His exceptional academic promise was evident when he graduated with First-Class Honours and the University Medal from the University of New England in 1974, followed by a Ph.D. in 1978. These formative years marked the beginning of a lifelong dedication to geology, paleobotany, and paleopedology.

Professional Endeavors

Dr. Retallack’s professional journey spans across continents and decades. His early teaching appointments included Northern Illinois University and Indiana University before he joined the University of Oregon in 1981, where he rose from Assistant Professor to full Professor and later served as Emeritus Professor. In addition to teaching and research, he directed the Condon Fossil Collection at the University of Oregon’s Museum of Natural and Cultural History, enriching public engagement with paleontology. His academic career reflects a blend of field research, mentorship, and scholarly leadership.

Contributions and Research Focus

A pioneering figure in paleopedology-the study of fossil soils-Dr. Retallack transformed understanding of ancient ecosystems, climate change, and evolutionary biology. His work on paleosols provided novel frameworks for interpreting paleoecological and geological records, particularly across critical intervals such as the Permian–Triassic boundary and the expansion of grasslands. His interdisciplinary contributions bridged geology, biology, and environmental science, making him a central figure in reconstructing Earth’s past environments and their role in shaping life.

Impact and Influence

Dr. Retallack’s influence extends well beyond his classrooms and field sites. His 331 publications have garnered more than 24,000 citations, with a remarkable h-index of 80—demonstrating both productivity and enduring scholarly impact. His recognition includes being elected Fellow of the Geological Society of America, Fellow of the American Association for the Advancement of Science, and numerous international lectureships. Awards such as the Antarctic Service Medal and the Earl Ingerson Award further underscore his scientific contributions to global research.

Academic Citations

Through his extensive research, Dr. Retallack’s findings are widely referenced in the scientific community. His work on fossil soils as indicators of ancient environments remains a cornerstone in geological and paleobotanical literature. The breadth of his citations-from paleoclimatology to evolutionary studies—illustrates the interdisciplinary resonance of his scholarship, placing him among the most highly regarded earth scientists of his era.

Legacy and Future Contributions

Even as an Emeritus Professor, Dr. Retallack continues to shape the scientific landscape. His role in curating fossil collections, developing educational materials, and authoring influential papers ensures that his contributions will guide future generations of geologists, paleontologists, and environmental scientists. His legacy lies not only in his groundbreaking research but also in the community of scholars he mentored and the public’s deeper appreciation of Earth’s deep history.

Conclusion

Dr. Gregory Retallack’s career exemplifies the qualities of a distinguished academic whose work redefined the study of ancient soils, ecosystems, and evolutionary change. His scholarship has left a lasting imprint on geology and paleontology, while his teaching and public engagement have broadened understanding of Earth’s dynamic history. With an enduring legacy and continued influence, Dr. Retallack stands as a fitting candidate for recognition through lifetime achievement honors.

Notable Publications

"Ediacaran-Cambrian paleosols of Nevada and California" 

  • Author: GJ Retallack
  • Journal: PLoS One
  • Year: 2025

"Soil modulation of Quaternary glacial-interglacial cycles" 

  • Author: GJ Retallack
  • Journal: Geoderma
  • Year: 2025

"Limits to Snowball Earth from Periglacial Silicate Paleosols in the Panamint Range, California" 

  • Author: GJ Retallack
  • Journal: AGU Fall Meeting Abstracts
  • Year: 2024

"Eocene (50-55 Ma) greenhouse climate recorded in nonmarine rocks of San Diego, CA, USA" 

  • Author: A Broz, D Pritchard-Peterson, S Schneider, D Spinola, G Retallack
  • Journal: EarthArXiv
  • Year: 2023

"Early Cretaceous Ice Ages from Weathering and Biomass of Migrating Angiosperms" 

  • Author: G Retallack
  • Journal: Geological Society of America Abstracts
  • Year: 2023

 

 

Mingqiang Wu | Graph Neural Networks | Best Researcher Award

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Dr. Mingqiang Wu | Graph Neural Networks | Best Researcher Award

Hunan University of Arts and Science | China

Author Profile

Scopus

Academic Profile of Dr. Mingqiang Wu

Early Academic Pursuits

Dr. Mingqiang Wu’s academic journey reflects a strong foundation in computer science, built through consistent pursuit of excellence at multiple levels of higher education. He obtained his Bachelor of Engineering in Computer Science from Shangqiu University, where he developed his initial interest in computational models and algorithms. His academic drive led him to pursue a Master of Engineering in Computer Science at Northwest Minzu University, where he began exploring advanced computational frameworks. Furthering his expertise, Dr. Wu completed his Ph.D. in Computer Science at Hohai University, which provided him with a research-oriented mindset and equipped him to contribute significantly to emerging fields in artificial intelligence and data-driven technologies.

Professional Endeavors

Professionally, Dr. Wu has established himself as a researcher and thought leader in the field of graph neural networks and graph data structures. His role as Principal Investigator of the Graduate Research Innovation Project at Northwest Minzu University highlights his leadership in guiding academic inquiry, fostering innovation, and mentoring young researchers. His academic awards and recognition, including his inclusion in the Wiley China Excellent Author Program, underscore his influence and recognition in the research community.

Contributions and Research Focus

Dr. Wu’s research contributions are particularly significant in the area of graph-based machine learning, with a focus on semi-supervised short text classification. His publications in high-impact journals such as Expert Systems with Applications (Impact Factor 7.5, JCR Q1) and Applied Soft Computing (Impact Factor 6.6, JCR Q1) demonstrate both quality and impact. His work on commonsense knowledge-powered heterogeneous graph attention networks, heterogeneous graph contrastive learning, and multi-source graph contrastive learning represent innovative approaches that integrate adaptive data augmentation and dual-level dynamic fusion strategies. These contributions provide scalable and intelligent solutions for real-world applications in natural language processing, knowledge engineering, and AI systems.

Impact and Influence

The impact of Dr. Wu’s work is evident not only in the high citation potential of his Q1 and Q2 publications but also in the way his models address practical challenges in AI-driven text analysis. His contributions strengthen the research ecosystem in graph neural networks, and his methods offer significant advancements for industries relying on intelligent text classification, such as information retrieval, recommendation systems, and semantic analysis. His recognition through awards and academic programs further solidifies his influence in shaping the direction of computational research.

Academic Citations and Recognition

With multiple publications in top-ranked journals, Dr. Wu’s work holds a strong presence in the academic community. His research papers, published in journals with impact factors ranging from 2.3 to 7.5, stand as benchmarks in their respective subdomains. The growing academic citations of his work highlight its value to the global research community and establish his contributions as authoritative references for future studies in graph-based AI systems.

Legacy and Future Contributions

Dr. Wu’s legacy lies in his ability to bridge theoretical foundations with practical advancements in computer science. His focus on semi-supervised learning, graph attention mechanisms, and adaptive algorithms continues to inspire young researchers and practitioners. Looking ahead, his future contributions are likely to extend into next-generation graph neural networks, scalable AI models, and interdisciplinary applications, thereby enhancing both academic discourse and industrial applications.

Conclusion

In conclusion, Dr. Mingqiang Wu exemplifies the qualities of an outstanding academic and researcher, with a strong record of achievements in graph data structures and algorithms. His journey from rigorous academic training to impactful research output demonstrates both commitment and innovation. With high-impact publications, leadership in academic projects, and recognition at both national and international levels, Dr. Wu is poised to continue making substantial contributions to the advancement of computer science and artificial intelligence.

Notable Publications

"Multi-source graph contrastive learning with dual-level dynamic fusion of structure and feature for inductive semi-supervised short text classification" 

"Heterogeneous graph contrastive learning with adaptive data augmentation for semi-supervised short text classification" 

  • Author: Mingqiang Wu, Zhuoming Xu, Lei Zheng
  • Journal: Expert Syst. J. Knowl
  • Year: 2025

"Commonsense knowledge powered heterogeneous graph attention networks for semi-supervised short text classification" 

  • Author: Mingqiang Wu
  • Journal: Expert Syst. Appl
  • Year: 2023

 

Qilong Zhang | Optimization | Best Researcher Award

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Dr. Qilong Zhang | Optimization | Best Researcher Award

School of Electrical Engineering, Liupanshui Normal University, Liupanshui | China

Author Profiles

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Orcid ID

Early Academic Pursuits

Qilong Zhang began his academic journey with a strong foundation in physics and electrical engineering, eventually establishing himself in the School of Physics and Electrical Engineering at Liupanshui Normal University. His early research interests revolved around renewable energy systems and optimization methods, leading him toward a specialized focus on integrated energy systems. With a background rooted in rigorous theoretical study and applied problem-solving, he progressively built expertise in predictive modeling, signal processing, and control strategies for energy systems.

Professional Endeavors

In his professional role, Zhang has actively contributed to both teaching and advanced research, positioning himself as a rising academic voice in the domain of renewable energy integration. His career highlights include publishing in Energy Reports (2025), where he presented an innovative approach to model predictive control (MPC) for multi-energy systems. Supported by grants from provincial education bodies, his university, and the China Southern Power Grid Technology Project, Zhang has expanded the scope of his work to address national-level renewable energy challenges in China.

Contributions and Research Focus

Zhang’s research focuses on developing data-driven Model Predictive Control frameworks that optimize hybrid renewable energy systems. His landmark study integrates wind power, solar photovoltaic generation, and hydrogen storage, advancing the reliability and scalability of renewable utilization. He has contributed key innovations such as hybrid prediction models (EMD-KPCA-LSTM, GVMD-ISSA-LSTM) and real-time feedback correction mechanisms. These contributions not only improved the stability of renewable systems but also enhanced efficiency by nearly 20%, showcasing measurable progress in renewable adoption.

Impact and Influence

The practical significance of Zhang’s work lies in its alignment with China’s carbon neutrality targets and the global agenda for sustainable development. His methods demonstrated a 73.86% absorption rate for local renewable energy, a significant benchmark in addressing grid integration volatility. By providing scalable solutions applicable to microgrids and industrial parks, his research bridges the gap between academic modeling and real-world application. His influence extends beyond publications, as his research outcomes directly contribute to policies and industrial practices aimed at cleaner energy transitions.

Academic Citations

Zhang’s contributions are positioned to garner increasing academic recognition, especially given the novelty of combining advanced signal processing with deep learning techniques like LSTM in energy systems research. His publication in Energy Reports is expected to attract citations from scholars focusing on renewable forecasting, integrated energy storage, and predictive control methodologies. As more institutions globally prioritize hybrid renewable systems, his work is likely to become a frequently cited reference in the field.

Legacy and Future Contributions

Looking ahead, Zhang’s research sets a pathway for further exploration of multi-energy optimization, intelligent forecasting models, and large-scale deployment of MPC frameworks. His ongoing projects and grant-backed initiatives suggest a sustained trajectory of innovation. With continued collaboration and academic exchange, Zhang is poised to leave a lasting legacy as a thought leader in renewable energy system integration. His commitment to solving real-world energy challenges ensures his contributions will resonate both within academia and across industries aiming for sustainable transformation.

Conclusion

In summary, Qilong Zhang exemplifies a promising researcher whose innovative approaches to renewable-based multi-energy systems stand out for their originality, practicality, and impact. His blend of theoretical innovation, practical applications, and alignment with global energy goals highlights both academic excellence and societal relevance. With a foundation of recognized achievements and forward-looking research directions, Zhang is well-positioned to make enduring contributions to the field of renewable energy optimization and control.

Notable Publications

"A model predictive control for a renewable-based multi energy system by integrating data-driven algorithm" 

  • Author: Qilong Zhang; Yongxiang Cai
  • Journal: Energy Reports
  • Year: 2021

"Model Predictive Control Method of Multi-Energy Flow System Considering Wind Power Consumption" 

  • Author: Qilong Zhang; Xiangping Chen; Guangming Li; Junjie Feng; Anqian Yang
  • Journal: IEEE Access
  • Year: 2021

 

Faisal Alshami | Machine Learning | Best Researcher Award

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Faisal Alshami | Machine Learning | Best Researcher Award

Dalian University of Technology | China

Author Profile

Google Scholar

Early Academic Pursuits

Faisal Alshami’s academic journey reflects a deep commitment to software engineering and technological innovation. He began his undergraduate studies at Sana’a University, Yemen, earning a BSc in Network Technology and Computer Security (2008–2012). His undergraduate thesis, “General Management System for Plant Protection,” showcased his early ability to integrate security and system management using ASP.NET, C#, and VPN with OSPF protocols, signaling his strong foundation in both networking and software development. Building on this groundwork, Faisal pursued a Master’s in Software Engineering at Northeastern University, China (2019–2022), where he specialized in advanced machine learning techniques. His master’s thesis, “Design and Implementation of Web API Recommendation System Based on Deep Learning,” utilized CNN, BLSTM, K-modes, and Word2Vec, demonstrating his growing expertise in AI-driven software solutions. Currently, Faisal is advancing his academic pursuits with a PhD in Software Engineering at Dalian University of Technology, China, focusing on federated learning, distributed systems, blockchain, edge computing, and graph neural networks (GNNs).

Professional Endeavors

Alongside his academic progression, Faisal has accumulated over 5 years of professional experience in the software and networking industry. His early career as a VoIP Engineer/Developer at Communication Services Company (2013–2015) allowed him to develop communication APIs and optimize large-scale systems. As a Network Manager and Systems Engineer at EliteTecs (2015–2016), he designed high-reliability networks using advanced protocols such as OSPF, EIGRP, and WiMAX, showcasing his expertise in secure and resilient infrastructures. His role as Full-Stack Developer and DevOps Lead at Almorisi Exchange Company (2016–2018) highlighted his ability to manage mission-critical systems with real-time performance and security. Here, Faisal excelled in building scalable architectures, simulation frameworks, and automated DevOps pipelines, which contributed to operational excellence.

Contributions and Research Focus

Faisal’s research is strategically positioned at the intersection of distributed systems, intelligent computing, and aerospace applications. His focus includes:

  • Federated learning and secure communication for multi-agent systems such as satellite constellations.

  • Edge computing and real-time distributed systems tailored for resource-constrained environments.

  • Robust machine learning frameworks for aerospace, automation, and high-reliability embedded systems.

  • Blockchain integration with AI to enhance security in data networks.

  • Simulation and testing methodologies to ensure fault tolerance in mission-critical software.
    This body of research reflects his ambition to address pressing challenges in space exploration, aerospace engineering, and advanced communication networks.

Impact and Influence

Faisal’s impact lies in bridging the gap between theory and applied innovation. His academic research is not confined to publications alone but extends into real-world applications in secure communications, high-availability systems, and intelligent software architectures. By combining his professional experience with cutting-edge research, Faisal has influenced the fields of network security, distributed computing, and AI-driven system optimization, making his contributions valuable to both academia and industry.

Academic Cites

His work has strong potential for academic citations due to its interdisciplinary nature—linking software engineering, AI, networking, and aerospace technologies. His focus on federated learning, blockchain, and edge computing positions his research at the forefront of emerging scholarly and industrial discussions, ensuring that his publications will attract citations in journals focusing on AI, distributed systems, cybersecurity, and aerospace software engineering.

Legacy and Future Contributions

Faisal Alshami is on a trajectory to build a lasting legacy in intelligent, secure, and scalable software engineering systems. His research is particularly impactful in aerospace applications and secure communications, areas that are becoming increasingly vital in a digital and space-driven era. As he progresses with his doctoral research, Faisal is expected to contribute significantly to the development of resilient federated learning frameworks, advanced distributed architectures, and mission-critical simulations. His blend of academic depth and industry experience ensures that his future work will leave a lasting influence on next-generation computing systems and aerospace engineering technologies.

Other Notable Highlights

  • Certifications: Faisal holds multiple certifications, including Neural Networks & Deep Learning (DeepLearning.AI), CCNP, CCNA, and advanced language certifications (Chinese HSK4, English YALI).

  • Training: He gained practical exposure at NEUSOFT Project Training, where he contributed to developing the Borrow-Seller System (BSS) using Java, Spring Boot, Vue.js, and Android Studio.

  • Core Competencies: His expertise spans software architecture, DevOps, distributed systems, full-stack development, secure networking, and agile collaboration.

Conclusion

In conclusion, Faisal Alshami is an emerging leader in the domain of software engineering, distributed systems, and intelligent computing. His academic journey, professional experiences, and research pursuits demonstrate a rare combination of technical mastery, innovation, and practical problem-solving skills. With his ongoing doctoral work and focus on future technologies such as federated learning, blockchain, and aerospace applications, Faisal is poised to make significant contributions that will influence both academia and industry for years to come.

Notable Publications

"A detailed analysis of benchmark datasets for network intrusion detection system" 

  • Author: M Ghurab, G Gaphari, F Alshami, R Alshamy, S Othman
  • Journal: Asian Journal of Research in Computer Science
  • Year: 2021

"Intrusion detection model for imbalanced dataset using SMOTE and random forest algorithm" 

  • Author: R Alshamy, M Ghurab, S Othman, F Alshami
  • Journal: International Conference on Advances in Cyber Security
  • Year: 2021

 

 

Mingzhuo Dai | Supply Chain Management | Best Researcher Award

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Dr. Mingzhuo Dai | Supply Chain Management | Best Researcher Award

Huazhong University of Science and Technology | China

Author Profiles

Scopus

Orcid ID

Academic Career Overview of Dr. Mingzhuo Dai

Early Academic Pursuits

Dr. Mingzhuo Dai began his academic journey with a Master’s degree from the School of Business, Jiangnan University, where he studied a range of advanced courses such as Western economics, management, marketing, operations research, and game theory. His strong foundation in management and analytical methods laid the groundwork for his transition into doctoral research. Currently, he is pursuing a Doctorate at Huazhong University of Science and Technology, School of Management, with research focused on the closed-loop supply chain, platform economy, blockchain applications, and live streaming selling. These areas highlight his commitment to addressing contemporary challenges in digital economies and sustainable supply chain practices.

Professional Endeavors

Dr. Dai’s scholarly contributions have been recognized through several peer-reviewed journal publications. His works have appeared in leading journals such as Transportation Research Part E: Logistics and Transportation Review, Omega, and the Asia-Pacific Journal of Operational Research. These papers demonstrate his ability to integrate theoretical modeling with real-world applications, particularly in operations management, digital platforms, and sustainable supply chains.

Contributions and Research Focus

The central theme of Dr. Dai’s research lies in the intersection of supply chain management and emerging digital platforms. His work on topics such as advance selling under uncertainty, refurbishing authorization strategies, and distribution channel choices has provided valuable insights into how businesses can optimize operations in a data-driven economy. Additionally, his exploration of blockchain technologies and live streaming commerce highlights his forward-looking approach in understanding evolving market dynamics.

Impact and Influence

Dr. Dai’s research has not only gained academic recognition but also practical relevance. His publications provide actionable insights for businesses navigating platform economies, food safety supply chains, and digital commerce ecosystems. Furthermore, his research projects funded by the Ministry of Education’s Humanities and Social Science Fund and the Jiangsu Colleges Fund underscore the societal and industrial impact of his work, especially in food supply chain safety and online risk regulation.

Academic Recognition and Awards

His academic excellence has been acknowledged through numerous honors. He received the Xian-De Zhao Best Paper Award at the 17th International Conference on Operations and Supply Chain Management and the Excellent Paper Award at the 4th Annual Conference of the Chinese Society for Risk Management. Alongside international recognition, Dr. Dai has also earned scholarships, merit student distinctions, and competitive awards at both the school and provincial levels, reflecting his consistent academic performance and leadership.

Academic Sites and Networks

Dr. Dai maintains an active academic presence through his contributions to journals and conferences, which provide avenues for collaboration and knowledge exchange. His research visibility is supported by his engagement in academic societies and platforms, ensuring the dissemination of his work to a broader scholarly community.

Legacy and Future Contributions

As Dr. Dai continues his doctoral research, his work is poised to shape the future of closed-loop supply chains, blockchain-enabled governance, and digital commerce strategies. His blend of theoretical rigor and practical application positions him as a rising scholar in the fields of operations management and digital economy research. Looking forward, his contributions are expected to influence both academia and industry by fostering sustainable practices and innovative economic models.

Conclusion

Dr. Mingzhuo Dai’s academic journey reflects a strong balance of scholarly excellence, practical relevance, and forward-looking research. With his growing body of impactful publications, prestigious awards, and funded projects, he is building a distinguished career that bridges management theory with digital innovation. His trajectory suggests a lasting legacy in advancing supply chain sustainability and digital transformation research, making him a valuable contributor to both the academic and professional communities.

Notable Publications

"Implications of Refurbishing Authorization Strategy and Distribution Channel Choice in a Closed-Loop Supply Chain" 

  • Author: Pu, Xujin; Dai, Mingzhuo; Zhang, Wen
  • Journal: Asia-Pacific Journal of Operational Research
  • Year: 2024

"Quality and selling format choices in a supply chain considering remanufacturing competition" 

  • Author: Zhang, Wen; Dai, Mingzhuo
  • Journal: Kybernetes
  • Year: 2023

 

 

Anusuyah Subbarao | Digital Transformation | Outstanding Educator Award

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Dr. Anusuyah Subbarao | Digital Transformation | Outstanding Educator Award

Multimedia University | Malaysia

Author Profiles

Scopus

Orcid ID

Google Scholar

Early Academic Pursuits

Dr. Anusuyah Subbarao’s academic journey reflects her dedication to excellence in Computer Science and Information Technology. She began her higher education with a Bachelor’s degree in Computer Science (Hons) from Universiti Putra Malaysia, followed by a Master of Science in Computer Science, specializing in Software Engineering. Her academic pursuits culminated in a Ph.D. from Universiti Teknologi Malaysia, where she deepened her expertise in software engineering and digital innovation. This strong educational foundation laid the groundwork for her remarkable academic and professional career.

Professional Endeavors

With over 25 years of teaching and academic leadership across Malaysia, Saudi Arabia, and beyond, Dr. Anusuyah has served in diverse roles-from lecturer and senior lecturer to Deputy Dean and Assistant Professor. Currently, she is an Assistant Professor in the Information Technology Department at the Faculty of Management, Multimedia University, Malaysia. Her career reflects not only longevity but also versatility, with experience spanning teaching, academic administration, and global collaboration.

Contributions and Research Focus

Dr. Anusuyah’s research expertise lies in Digital Transformation, Healthcare Systems, Enterprise Resource Planning (ERP), Global Software Development, and Qualitative Studies. She has secured multiple research grants-both national and international-focusing on pressing issues such as digital health models, AI-driven insights into mental health, cloud computing in healthcare, and digital literacy frameworks. Her contributions extend beyond research to impactful teaching methodologies, innovation in digital learning, and the mentoring of undergraduate, MBA/EMBA, and Ph.D. students.

Impact and Influence

As a passionate educator and an award-winning researcher, Dr. Anusuyah’s influence resonates across academia and society. She has received numerous accolades, including National Outstanding Innovation Award (2024), multiple Best Professor Awards, and several innovation medals at prestigious exhibitions like InventX and RICES. Her ability to translate complex concepts into accessible knowledge makes her a transformative figure in higher education. Moreover, her international speaking engagements and collaborations amplify her influence globally.

Academic Citations and Recognition

Dr. Anusuyah’s scholarly work has been recognized through Scopus-indexed publications, national and international presentations, and competitive research awards. She has been consistently celebrated within Multimedia University for her research productivity, outstanding teaching, and publication excellence. Her position as a reviewer for high-impact journals further demonstrates her scholarly reputation and trust within the global academic community.

Legacy and Future Contributions

Dr. Anusuyah’s legacy is anchored in her dual commitment to teaching innovation and research excellence. She continues to shape future leaders by integrating cutting-edge technology with pedagogy and equipping students with both technical knowledge and critical thinking skills. Looking ahead, her ongoing projects in digital health, AI, ERP, and digital ethics promise to contribute significantly to global conversations on technology’s role in shaping society. As a certified trainer, professional technologist, and senior member of key associations, she is well-positioned to drive policy, practice, and pedagogy in digital transformation.

Conclusion

Dr. Anusuyah Subbarao embodies the qualities of an outstanding academic-scholarship, innovation, leadership, and mentorship. Her contributions span local and international contexts, enriching both knowledge creation and its practical applications. With her vast experience, remarkable achievements, and commitment to empowering students and communities, she stands as a beacon of excellence in academia and a catalyst for shaping the future of Information Technology and Education.

Notable Publications

"Empirical method for developing a hyper-personalization artifact" 

  • Author: Umapathy Sivan G. Murugasu; Anusuyah Subbarao
  • Journal: Engineering Applications of Artificial Intelligence
  • Year: 2025

"Digital Transformation in Higher Education: Enhancing Support Services Through Mobile Apps" 

  • Author: Anusuyah Subbarao; Nasreen Khan; Aysa Siddika; Muhammad A. Fathullah; Mohd A. Sanwani; Fia F. Adam; Debrina V. Ferezagia; Melisa B. Altamira
  • Journal: HighTech and Innovation Journal
  • Year: 2025

"Barriers to and Facilitators of Technology Adoption in Emergency Departments: A Comprehensive Review" 

  • Author: Ann Thong Lee; R Kanesaraj Ramasamy; Anusuyah Subbarao
  • Journal: International Journal of Environmental Research and Public Health
  • Year: 2025

"Unveiling the Pathways: Exploring Influential Factors Shaping the Intentions to Engage with ChatGPT" 

  • Author: Nurul Izzah Abd Sukor; Anusuyah Subbarao
  • Journal: International Journal of Management, Finance and Accounting
  • Year: 2025

"Understanding Psychosocial Barriers to Healthcare Technology Adoption: A Review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT Frameworks" 

  • Author: Ann Thong Lee; R Kanesaraj Ramasamy; Anusuyah Subbarao
  • Journal: Healthcare
  • Year: 2025

 

 

 

 

Zhenlei Yang | Hydrology | Best Researcher Award

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Prof. Zhenlei Yang | Hydrology | Best Researcher Award

Xinjiang Institute of Ecology and Geography | China

Author Profiles

Scopus

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Early Academic Pursuits

Professor Zhenlei Yang began his academic journey in Hydrology and Water Resources Engineering at the China University of Geosciences, Beijing, where he earned his Bachelor’s and Master’s degrees with a focus on groundwater science and engineering. His academic curiosity deepened during his doctoral studies at Texas A&M University, USA, where he specialized in Biological and Agricultural Engineering with a focus on soil hydrology and ecohydrology. These formative years laid the foundation for his expertise in soil physics, subsurface hydrology, and multiphase flow in porous media, establishing the trajectory for a career in advancing hydrological sciences.

Professional Endeavors

Professor Yang has held distinguished academic and research positions across China, the USA, and Germany. He currently serves as a Professor at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, following prior roles as Associate Professor at the same institute and Research Associate Professor at Westlake University, China. His international research exposure includes a Postdoctoral Fellowship at Forschungszentrum Jülich GmbH, Germany, where he worked on integrated hydrological modeling of German watersheds using advanced terrestrial system models. Earlier, as a Graduate Research Assistant at Texas A&M University, he contributed to parameterization development and probabilistic modeling of coupled soil-water-plant systems. His academic appointments and global collaborations reflect both breadth and depth in environmental and hydrological research.

Contributions and Research Focus

Professor Yang’s research primarily focuses on parameterizations of soil processes, subsurface hydrology, and ecohydrology, with significant contributions to the understanding of heat and mass transport in vadose zones, soil-vegetation-atmosphere interactions, and groundwater management. He has led major projects funded by the National Science Foundation of Xinjiang, Chinese Academy of Sciences, and international collaborations with the USA and Germany, addressing critical topics such as soil hydraulic parameter modeling, evaporation and infiltration mechanisms, and groundwater level control in arid basins. His technical expertise extends to hydrological modeling platforms such as HYDRUS and TerrSysMP, data assimilation, and high-performance computing for environmental simulations.

Impact and Influence

Through his research, Professor Yang has advanced the scientific community’s ability to predict hydrological processes across scales—from soil pores to watersheds—thereby influencing both theoretical and applied domains of ecohydrology. His work has been showcased at prestigious platforms including the American Geophysical Union (AGU) and European Geosciences Union (EGU), reflecting his active engagement in international scientific exchange. Furthermore, his integration of hydrological and ecological perspectives contributes to sustainable water resource management in arid and semi-arid regions, making his contributions globally relevant.

Academic Citations and Recognition

Professor Yang’s scholarly output has earned recognition in the form of graduate fellowships, research grants, and international student achievement awards during his time at Texas A&M University. His presentations at leading global conferences have established him as a respected voice in soil hydrology research. Awards such as the Dissertation Fellowship Award (2015–2016) and the Bill A. and Rita L. Stout International Graduate Student Achievement Award (2014) highlight his consistent excellence in research and academic performance.

Legacy and Future Contributions

Looking forward, Professor Yang’s work holds significant promise for climate adaptation, sustainable agriculture, and water resource resilience in ecologically sensitive regions. His continued leadership in hydrological modeling and soil-water-vegetation interaction studies will shape the development of more accurate predictive models, ultimately benefiting environmental policy, land management, and global sustainability efforts. By mentoring young scholars and advancing interdisciplinary research, he is poised to leave a lasting legacy in the fields of soil physics, ecohydrology, and water resources engineering.

Conclusion

In summary, Professor Zhenlei Yang’s career represents a blend of rigorous academic training, impactful research, and international collaboration. His contributions to soil hydrology, porous media parameterization, and ecohydrological modeling have advanced both theory and practice in environmental sciences. With a proven record of academic excellence, innovative research, and future-oriented vision, Professor Yang continues to play a pivotal role in addressing the challenges of water resource management and ecological sustainability in a changing global climate.

Notable Publications

"Prediction of absolute unsaturated hydraulic conductivity of soils with Weibull pore size distribution" 

  • Author: Xin Tong; Zhenlei Yang; Weili Duan; Zi Li; Xuan Yu; Wenjuan Zheng
  • Journal: Geoderma
  • Year: 2025

"Lattice Boltzmann modelling of capillarity, adsorption and fluid retention in simple geometries: Do capillary and film water have equal matric suction or not?" 

  • Author: Zi Li; Zhenlei Yang; Sergio Galindo-Torres; Ling Li
  • Journal: Advances in Water Resources
  • Year: 2025

"Self-organized criticality of natural lakes revealed by the percolation model based on topographic wetness index" 

  • Author: Shengjie Hu; Zhenlei Yang; Zipeng Wang; Sergio Andres Galindo Torres; Ling Li
  • Journal: Communications Physics
  • Year: 2025

"Statistical Distribution of Urban Area Reveals a Converging Trend of Global Urban Land Expansion" 

  • Author: Shengjie Hu; Zhenlei Yang; Sergio Andres Galindo Torres; Zipeng Wang; Haoying Han; Yoshihide Wada; Thomas Cherico Wanger; Ling Li
  • Journal: Earth's Future
  • Year: 2025

 

 

Zhengyang Guo | Metabolism Networks | Best Researcher Award

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Dr. Zhengyang Guo | Metabolism Networks | Best Researcher Award

Peking University Third Hospital | China

Author Profile 

Scopus

Early Academic Pursuits

Zhengyang Guo’s academic journey began with a strong foundation in the life sciences. He earned his Bachelor’s degree from the School of Basic Medical Sciences at Peking University, which provided him with comprehensive knowledge in biomedical sciences. His pursuit of higher education continued at the Department of Microbiology, Peking University, where he obtained his M.D. degree. This academic background not only reflects his commitment to advancing medical research but also highlights the interdisciplinary foundation that shaped his later contributions in oncology and immunology.

Professional Endeavors

Currently serving as an Assistant Professor at Peking University Third Hospital, Guo has dedicated his professional career to the study of tumor biology and clinical translational research. Alongside his teaching responsibilities, he actively contributes to developing cutting-edge techniques through his involvement in the immunology platform and guiding graduate students in experimental teaching. His professional endeavors balance research, teaching, and technological development, underlining his role as both a researcher and mentor.

Contributions and Research Focus

Dr. Guo’s research primarily centers on tumor epigenetics, tumor metabolism, and the tumor microenvironment. His innovative work investigates molecular mechanisms that influence cancer progression and therapeutic outcomes. Specifically, he has focused on targeting the enzyme SCD1 in combination with EZH2 inhibitors to enhance the efficacy of melanoma treatment and immunotherapy. His projects, supported by prestigious funding bodies such as the National Natural Science Foundation of China and Peking University Medicine Fund, reflect both the clinical relevance and scientific novelty of his work.

Impact and Influence

As an active contributor to the global scientific community, Guo holds membership in the Biophysical Society of China and the Chinese Society of Biochemistry and Molecular Biology. His expertise is recognized internationally, as he serves as a peer reviewer for high-impact journals including Experimental Hematology & Oncology, Cell Communication and Signaling, Apoptosis, and Lipids in Health and Disease. These engagements highlight his influence in shaping scientific dialogue and advancing standards in cancer research.

Academic Cites and Intellectual Property

Guo’s research impact extends beyond publications into intellectual property and patents. He is a co-inventor on multiple patents related to antitumor drug compositions involving EZH2 and SCD1 inhibitors, as well as novel approaches to treating liver cancer using diacylglycerol kinase γ. These patents underscore the translational potential of his work, bridging basic molecular research with therapeutic innovation. His contributions are already shaping new pathways in drug discovery and cancer therapy.

Legacy and Future Contributions

With a strong foundation of academic excellence, innovative research, and translational breakthroughs, Guo is poised to make long-lasting contributions to the field of oncology. His ongoing efforts in epigenetic regulation, tumor metabolism, and immunotherapy strategies hold promise for redefining cancer treatment paradigms. By mentoring future scholars and fostering collaborations across disciplines, he is actively building a legacy that will continue to influence both academia and clinical practice.

Conclusion

In summary, Dr. Zhengyang Guo exemplifies the qualities of a modern medical researcher-a scholar who bridges fundamental biology with clinical application. His journey from early academic pursuits to groundbreaking research in tumor biology reflects dedication, innovation, and leadership. With multiple funded projects, patents, and international recognition, his work significantly impacts the scientific community and promises future advancements in cancer treatment. His career trajectory positions him as a leading figure in biomedical research, with the potential to transform cancer therapy at both national and global levels.

Notable Publications

"3G Internet Diffusion and Secondary Education Attainment: Evidence of Opportunity Cost in Vietnam" 

  • Author: Trang Thi Pham; Bernardo Caldarola
  • Journal: Review of Development Economics
  • Year: 2025

 

 

Trang Pham Thi | Mobile Networks | Best Researcher Award

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Dr. Trang Pham Thi | Mobile Networks | Best Researcher Award

University in Maastricht | Netherlands

Author Profile

Orcid ID

Google Scholar

Early Academic Pursuits

Dr. Trang Pham Thi began her academic journey with a strong foundation in International Economic Relations at Vietnam National University – Ho Chi Minh City, where she developed a deep interest in economic systems and global market dynamics. She further advanced her expertise through a Master’s degree in International Political Economy at Nanyang Technological University, Singapore, where she gained interdisciplinary exposure to political economy, trade policy, and development strategies. Her pursuit of knowledge culminated in a Ph.D. in Innovation, Economics, Governance, and Sustainable Development from the United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), where she specialized in policies and pathways for sustainable development in the digital era.

Professional Endeavors

Dr. Trang’s professional trajectory reflects a blend of academic, research, and applied economic expertise. She currently serves as a Lecturer at the VN-UK Institute for Research and Executive Education, University of Danang, where she develops research groups, trains future researchers, and teaches business research methods. Her academic experience spans teaching regression analysis, evidence-based policy research, and public policy at UNU-MERIT, alongside evaluating MSc theses and reviewing research proposals. Her diverse professional background also includes diplomatic work with the Consulate of the Republic of Indonesia, project management in educational technology startups, security risk analysis with International SOS, and content development for international institutions.

Contributions and Research Focus

Dr. Trang’s research focuses on digital transformation and sustainable development, particularly in relation to development economics, innovation economics, inequality, and the international political economy. She employs interdisciplinary methodologies including quantitative data analysis, econometrics, impact evaluation, mixed methods, and geospatial analysis, supported by advanced software proficiency in Stata, QGIS, R, and more. Her notable contributions include studies on the impact of mobile internet on household income, gender employment in creative sectors, education attainment, and mental health outcomes in developing economies. She has actively presented her work at globally recognized platforms, including the World Bank, Asian Development Bank, WIPO, and INET.

Impact and Influence

Through her international research engagements in Europe, Asia, and Latin America, Dr. Trang has influenced policy-oriented economic research and contributed to knowledge exchange between academia, policymakers, and development agencies. Her work has informed discussions on digital inclusion, inequality, and innovation policy, and her role in global conferences has positioned her as a thought leader in sustainable digital economy research. As a mentor, she has guided emerging scholars in research methods, grant writing, and publication strategies, fostering academic capacity building in Vietnam and beyond.

Academic Citations and Recognition

Dr. Trang’s academic outputs, presented at high-impact conferences and workshops, contribute to the global discourse on economic inequality and digital transformation. She has been funded by prestigious organizations such as the European Commission’s MSCA, World Bank, British Academy, WIPO, ADB, and INET, reflecting strong peer recognition of her research relevance and quality. Her collaborations with leading international think tanks, including UNU-WIDER and CINPE, further attest to her scholarly standing.

Legacy and Future Contributions

Dr. Trang is set to build a legacy as a bridge between research and real-world policy impact, particularly in the context of the digital economy’s role in sustainable development. Her future work will likely expand into network analysis, complexity economics, and smart specialization strategies for emerging economies. With her strong academic network and experience in both research and applied policy environments, she is poised to mentor the next generation of economists and continue shaping inclusive development policies.

Conclusion

Dr. Trang Pham Thi’s career reflects an exceptional combination of academic rigor, interdisciplinary research expertise, and global engagement. From her early education in international economic relations to her current leadership in research and teaching, she has consistently contributed to advancing knowledge on sustainable development in the digital age. Her impactful publications, policy engagements, and mentorship demonstrate her commitment to driving equitable and innovative economic growth worldwide, marking her as a highly influential academic and development economist.

Notable Publications

"3G Internet Diffusion and Secondary Education Attainment: Evidence of Opportunity Cost in Vietnam" 

  • Author: Trang Thi Pham; Bernardo Caldarola
  • Journal: Review of Development Economics
  • Year: 2025

"Mobile Internet and Income Improvement: Evidence from Viet Nam" 

  • Author: TRANG THI PHAM
  • Journal: Asian Development Review
  • Year: 2025

"Internet Access and Youth’s Mental Health and Well-being: Evidence from Ethiopia" 

  • Author: Trang Pham-Thi; Pui-hang Wong
  • Journal: Maastricht Economic and social Research institute on Innovation and Technology
  • Year: 2025

"Mobile Internet and income improvement: Evidence from Viet Nam" 

  • Author: Trang Thi Pham
  • Journal: WIDER Working Paper
  • Year: 2023

"Digital Access, Usage, and Educational Outcomes: Evidence from Vietnam" 

  • Author: Trang Thi Pham
  • Journal: Conference paper
  • Year: 2023