Dr. Thomas Gurry | Biological Networks | Best Researcher Award

Myota Limited | United Kingdom

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🧬DR. THOMAS GURRY: PIONEERING MINDS IN COMPUTATIONAL BIOLOGY AND MICROBIOME SCIENCE

🧬EARLY ACADEMIC PURSUITS

Dr. Thomas Gurry embarked on his academic journey with a B.Sc. in Biochemistry (First Class Honours) from Imperial College London in 2008. His intellectual curiosity led him to pursue an M.Phil. in Computational Biology from the University of Cambridge in 2009, supported by a Microsoft Research Europe Studentship and recognized as an Honorary Cambridge European Trust Scholar. He culminated his formal academic studies with a Ph.D. in Computational and Systems Biology from the Massachusetts Institute of Technology (MIT) in 2014, where his doctoral thesis titled “Order, Disorder and Protein Aggregation” explored protein misfolding related to neurodegenerative diseases.

🧪PROFESSIONAL ENDEAVORS

Following his Ph.D., Dr. Gurry gained rich postdoctoral and senior research experience at MIT and the University of Geneva. From 2015 to 2019, he served as a Postdoctoral Associate and later a Research Scientist at MIT’s Center for Microbiome Informatics and Therapeutics (CMIT), where he led projects on human gut microbiota, personalized nutrition, and biomarker discovery. Since 2019, he has been a Senior Research Associate at the University of Geneva, where he is developing cutting-edge diagnostics and therapeutics for personalized dietary fiber supplementation based on individual microbiota profiles.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON BIOLOGICAL NETWORKS

Dr. Gurry’s research sits at the intersection of computational biology, systems biology, and microbiome science. His work includes computational modeling of protein aggregation relevant to Alzheimer’s and Parkinson’s diseases, personalized nutrition, and gut microbiota diagnostics. He has also advanced metagenomics analytics, FMT donor selection algorithms, and machine learning pipelines for microbiome analysis. He has innovated diagnostic tools for microbial fermentation capabilities and contributed frameworks for dietary interventions aimed at modulating health outcomes.

🌍IMPACT AND INFLUENCE

Dr. Gurry’s research has broad translational applications in precision medicine, gastrointestinal health, and neurodegenerative disorders. As a team leader in high-profile clinical studies, including those for Inflammatory Bowel Disease (IBD), his work has influenced personalized treatment protocols. His methodologies have also informed microbiome analytics platforms globally, particularly within the biopharma and functional foods industries. Furthermore, his start-up ventures are bridging the gap between science and consumer health.

🧑‍🏫TEACHING AND MENTORSHIP

Dr. Gurry has been a guest lecturer and teaching assistant at MIT, sharing expertise in microbiome sequencing, kinetics, and thermodynamics. He designed and launched the SuperUROP program for undergraduates to engage in microbiome research. His mentorship spans several Ph.D., master’s, and undergraduate students, with many of his mentees pursuing high-impact research in computational biology and bioengineering.

🏆GRANTS, AWARDS, AND HONORS

Dr. Gurry has received numerous grants and accolades, including from Innosuisse, Seerave Foundation, and Fondation Eclosion, amounting to over CHF 500,000 for projects focusing on personalized nutrition and microbial diagnostics. He was awarded compute time on the Anton supercomputer by the National Research Council and received the Helen Carr Peake Research Fellowship at MIT. His excellence was also recognized with the C. Ewart Stickings Memorial Prize in Biochemistry during his undergraduate studies.

🧑‍🔧SERVICE TO SCIENCE

Dr. Gurry actively contributes to the scientific community as an ad hoc reviewer for journals such as Environmental Microbiology, Gut Microbes, and Frontiers in Nutrition, as well as for ERC grant evaluations. He has also served as Environmental Health and Safety Representative, cloud systems administrator, and as a member of the CMIT supervisory and organizational committees, demonstrating leadership beyond his research responsibilities.

💡ENTREPRENEURIAL INITIATIVES

In addition to his academic accomplishments, Dr. Gurry is a successful biotech entrepreneur. He is the CEO and co-founder of Vesta Biosciences Sarl in Geneva, offering personalized dietary fiber supplements based on microbiome diagnostics. He also co-founded Gasberry, a company that developed a real-time vehicle diagnostic system using machine learning, which reached the semi-finals of the MassChallenge incubator.

📚ACADEMIC CITES AND PUBLICATIONS

Dr. Gurry’s work is widely cited, particularly in the fields of computational protein dynamics, microbiome therapeutics, and systems biology. His contributions to high-throughput sequencing, machine learning in microbiome data, and FMT donor efficacy models are frequently referenced in academic literature and clinical microbiome studies.

🔭LEGACY AND FUTURE CONTRIBUTIONS

Dr. Thomas Gurry’s career exemplifies a unique blend of academic rigor, translational research, and entrepreneurial vision. His pioneering work in gut microbiota and personalized nutrition is laying the foundation for next-generation diagnostics and therapeutics. With his ongoing efforts in clinical trials, machine learning-based diagnostics, and start-up innovation, Dr. Gurry is set to leave a lasting impact on both the scientific community and public health domain.

📑NOTABLE PUBLICATIONS

"Effects of a diverse prebiotic fibre supplement on HbA1c, insulin sensitivity and inflammatory biomarkers in pre-diabetes: a pilot placebo-controlled randomised clinical trial" 

• Author: CV Hall, JL Twelves, M Saxena, L Scapozza, T Gurry
• Journal: British Journal of Nutrition
• Year: 2024

"Microbial community-scale metabolic modeling predicts personalized short chain fatty acid production profiles in the human gut" 

• Author: Nick Quinn-Bohmann; Tomasz Wilmanski; Katherine Ramos Sarmiento; Lisa Levy; Johanna W. Lampe; Thomas Gurry; Noa Rappaport; Erin M. Ostrem; Ophelia S. Venturelli; Christian Diener et al.
• Journal: Preprint
• Year: 2023

"Functional heterogeneity in the fermentation capabilities of the healthy human gut microbiota" 

• Author: Thomas Gurry; Le Thanh Tu Nguyen; Xiaoqian Yu; Eric J Alm
• Journal: Preprint
• Year: 2020

"Exploiting the gut microbiota’s fermentation capabilities towards disease prevention" 

• Author: T Gurry, L Scapozza
• Journal: Journal of pharmaceutical and biomedical analysis
• Year: 2020

"Predicting The Response Of A Microbiota To Dietary Fibers" 

• Author: TJ GURRY
• Journal: US Patent App.
• Year: 2020

Dr. Changhong Yu | Graph Partitioning | Best Researcher Award

Institute of Information and Electronic Engineering | China

Author Profile

Scopus

📘BIOGRAPHY OF DR. CHANGHONG YU: A VISIONARY IN EDGE COMPUTING AND REMOTE SENSING

🎓EARLY ACADEMIC PURSUITS

Dr. Changhong Yu began his academic journey with a strong foundation in electronic engineering, earning his Bachelor of Science (B.S.) degree from Zhejiang University, Hangzhou, China, in 2002. Demonstrating a deep commitment to advanced studies and innovation in communication systems, he pursued and successfully completed his Ph.D. in Communication and Information Systems at the same esteemed institution in 2007. His early education at one of China’s top universities laid the groundwork for his future contributions to cutting-edge research.

🧑‍🏫PROFESSIONAL ENDEAVORS

Following his doctoral studies, Dr. Yu embraced a career in academia and currently serves as an Associate Professor in the Department of Communication and Information Systems at Zhejiang Gongshang University, Hangzhou, China. Over the years, he has established himself as a respected figure in the areas of edge computing, system integration, and communication technologies, mentoring students and collaborating on high-impact research projects.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON GRAPH PARTITIONING

Dr. Yu’s research expertise spans multiple emerging and interdisciplinary domains. His core interests include edge computing, system integration, community detection, graph partitioning, and communications. He has also made notable strides in the area of remote sensing image segmentation, a subdomain that plays a crucial role in geospatial intelligence, environmental monitoring, and satellite data analysis. Among his recent and significant contributions is the development of IFMOT, an interactive perception and feature optimization network for multi-object tracking, published in Multimedia Systems (2025). This work demonstrates innovative approaches to object tracking using advanced perception models. Additionally, his paper titled M2SSCENet, which presents a multi-branch multi-scale network with spatial-spectral cross-enhancement, showcases his commitment to enhancing the classification of hyperspectral and LiDAR data — a vital area in remote sensing and earth observation. His work on multimodal fusion-based remote sensing image segmentation and network intrusion detection using isolated forests and split points further underlines his versatility in applying AI and deep learning to real-world challenges.

🌐IMPACT AND INFLUENCE

Though emerging, Dr. Yu’s contributions are already being recognized by the academic community. His 2025 research papers have begun accumulating citations, reflecting a growing influence within his niche domains. Notably, two of his recent works have already garnered two citations each, a promising indicator of relevance and academic traction. As the fields of AI, edge computing, and remote sensing continue to grow, the impact of his pioneering models and methodologies is likely to expand further.

📚ACADEMIC CITES AND PUBLICATIONS

Dr. Yu’s scholarly contributions are anchored in high-quality, peer-reviewed journals. His published articles in 2025 alone include:

• IFMOT: Interactive Perception and Feature Optimization Network for Multi-Object Tracking – Multimedia Systems (2025)

• M2SSCENet: Multi-Branch Multi-Scale Network with Spatial-Spectral Cross-Enhancement – Journal of Supercomputing (2025)

• Remote Sensing Image Semantic Segmentation Network Based on Multimodal Fusion – 2025 (Cited twice)

• Improving Network Intrusion Detection Methods in Isolated Forests Based on Split Points – 2025 (Cited twice)

These publications emphasize his ability to design and implement complex models that bridge communication systems with artificial intelligence and geospatial analysis.

🌟LEGACY AND FUTURE CONTRIBUTIONS

As a dedicated educator and researcher, Dr. Changhong Yu continues to inspire students and peers alike through his passion for innovation and academic excellence. His evolving work in intelligent networks, remote sensing, and graph-based data analysis places him at the forefront of technological advancement. Looking ahead, his interdisciplinary approach is expected to contribute to smart systems, environmental monitoring, and cybersecurity, thereby solidifying his legacy as a thought leader and innovator in modern computational science.

📑NOTABLE PUBLICATIONS

"IFMOT: interactive perception and feature optimization network for multi-object tracking" 

• Journal: Multimedia Systems
• Year: 2025

"M2SSCENet: a multi-branch multi-scale network with spatial-spectral cross-enhancement for hyperspectral and LiDAR data classification" 

• Journal: Journal of Supercomputing
• Year: 2025

"Remote Sensing Image Semantic Segmentation Network Based on Multimodal Fusion" 

• Journal: Computer Engineering
• Year: 2025

"Improving Network Intrusion Detection Methods in Isolated Forests Based on Split Points" 

• Journal: Jisuanji Gongcheng Computer Engineering
• Year: 2024

Afagh Panahi Moghadam | Polymer Composite | Best Researcher Award

Iranian Research Organization for Science and Technology (IROST) | Iran

Author Profile

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🔬 AFGH PANAHI MOGHADAM – A TRAILBLAZER IN MATERIALS SCIENCE

🌱EARLY ACADEMIC PURSUITS

Afagh Panahi Moghadam embarked on her academic journey with a strong foundation in Mathematical Physics during her high school years at Somayeh High School, Tehran, Iran (2002–2004), graduating with an impressive GPA of 18.42. Her academic interest then transitioned into Materials Engineering, where she pursued her Bachelor's degree at Ferdowsi University of Mashhad (2006–2010). Despite a modest GPA of 13.40, her passion for advanced materials and engineering processes steadily grew, guiding her towards a higher academic calling. She continued her studies with a Master’s in Materials Engineering at Malek Ashtar University in Tehran (2012–2015), graduating with a GPA of 16.77, which marked her growing expertise in the field. Currently, she is pursuing her Ph.D. at the prestigious Materials Engineering Research Institute at the Iranian Research Organization for Science and Technology (IROST) with a notable GPA of 18.90, demonstrating both academic excellence and research acumen.

🧑‍🔬PROFESSIONAL ENDEAVORS

Afagh Panahi Moghadam has actively engaged in various technical and engineering groups contributing her expertise in advanced materials. Between 2015 and 2017, she worked with Mavadpajohan Knowledge-Based Company, and later, from 2020 to 2022, contributed to the PAD Technical Engineering Group at the National Institute for Medical Research Development. Since 2022, she has been affiliated with AzmaTech Company, further deepening her industrial collaboration and applying her academic knowledge to real-world problems in materials science and engineering. Her broad exposure across academic and industrial research positions her as a versatile professional in her domain.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON POLYMER COMPOSITE

Afagh’s research spans across multiple advanced topics in materials science. Her core research interests include:

• Prediction of wear behavior in cermet brake systems, contributing to safety and performance in automotive and aerospace systems.

• Study of material influence on the mechanical and physical properties of nickel-based superalloys, critical for high-temperature environments.

• Application of nickel-based superalloys in gas turbines, aiming for improved efficiency and durability.

• Development and validation of polymer-based composite coatings for the low-temperature section of gas turbines, targeting material performance optimization under thermal stress.

Her interdisciplinary research links materials engineering, mechanical performance, and energy systems, representing a significant contribution to the emerging trends in applied material science.

🌍IMPACT AND INFLUENCE

Afagh Panahi Moghadam’s influence extends beyond research laboratories to international conference platforms where she has presented her groundbreaking work. Her international conference presentations include studies on Hastelloy X superalloy, cold working and annealing, and tribological properties of ZrB2-based coatings applied using ultrasonic field-assisted laser cladding. These contributions not only showcase her expertise in advanced coatings and superalloys but also her role in global research discussions in materials engineering.

📚ACADEMIC CITES AND PUBLICATIONS

Afagh’s academic output includes three international conference presentations and a book under development titled "Engineering Materials: Research, Applications, and Advances" co-authored with Dr. Morteza Taheri. The book, currently under writing since 2023, is expected to become a valuable reference in materials engineering, particularly in the areas of applied research and technological innovation in engineering materials.

🧠GENERAL AND TECHNICAL SKILLS

In addition to her academic and research accomplishments, Afagh is a multifaceted individual with a blend of professional and personal skills. She possesses a driving license, and engages in horse riding, swimming, floriculture, and sweet baking. On the technical front, she demonstrates hands-on expertise in:

• Advanced Materials and Nanomaterials Synthesis

• XRD Analysis, TEM Image Interpretation, and Sol-Gel Synthesis

• Surface Modification, Functionalization, and Characterization

• Polymer Coating Technologies

• Potentiostat Systems for Surface Electrochemistry

This combination of laboratory acumen and practical creativity makes her a well-rounded and dynamic individual in the field of engineering science.

🌟LEGACY AND FUTURE CONTRIBUTIONS

As an emerging figure in the field of materials engineering, Afagh Panahi Moghadam is poised to make significant future contributions to energy systems, advanced coatings, and high-performance materials. Her consistent academic progression, industry involvement, and international engagement reflect a growing legacy of interdisciplinary innovation, especially within gas turbine material applications and surface technologies. With her doctoral research underway and scholarly publications in motion, she is set to inspire future researchers, advance practical engineering applications, and contribute to sustainable material innovations.

🏅CONCLUSION: A PROMISING RESEARCHER ON THE RISE

Afagh Panahi Moghadam is a dedicated researcher, skilled technologist, and innovative thinker. Her trajectory from academic curiosity to research excellence showcases her resilience and intellectual rigor. Her work in high-performance materials, especially in superalloy and coating technologies, is gaining international recognition. With her evolving body of work and deep-rooted commitment to science, she is undoubtedly a deserving candidate for the Best Researcher Award and a rising star in engineering research.

📑NOTABLE PUBLICATIONS

"Low content of modified-SCF in waterborne epoxy: mechanical properties and interfacial microstructure" 

• Author: AP Moghadam, K Shirvani
• Journal: Polymer Testing
• Year: 2025

"Investigating the Microstructure and Tribological Properties of ZrB2 and ZrB2/TiB2 Coatings Applied by Ultrasonic Field-Assisted Laser Cladding" 

• Author: APM Yujia He a, Morteza Taheri b, Yunhe Zou a, Amirali Lashkari c, Kourosh
• Journal: Materials Letters 365
• Year: 2024

"Improved mechanical properties of epoxy composite via modified and functionalized Short Carbon Fibers by LT560" 

• Author: KS Afagh Panahi Moghadam
• Journal: The 9th International Conference on Composites
• Year: 2024

"A Review on the Improvement of Oxide-Base Electrodes of Energy Storage by Using Reduced Graphene Oxide" 

• Author: KS Afagh Panahi Moghadam
• Journal: Journal of Iranian Ceramic Society
• Year: 2023

"Experimental investigation on the effects of cold working and final annealing after that on the microstructure, mechanical properties and high temperature strength of Hastelloy" 

• Author: M Tavakoli, A Panahi Moghadam, SM Abbasi, A Moradi
• Journal: 2nd International Conference
• Year: 2024

Dr. German Cuaya-Simbro | Structural learning | Best Researcher Award

Higher Technological Institute of the East of the State of Hidalgo | Mexico

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🧠 DR. GERMAN CUAYA-SIMBRO: A VISIONARY IN INTELLIGENT COMPUTING

🎓EARLY ACADEMIC PURSUITS

Dr. German Cuaya-Simbro began his academic journey with a clear inclination toward advanced computational studies. Holding a Ph.D. in Computational Sciences, he directed his research efforts toward machine learning, establishing a strong theoretical and analytical foundation early in his career. His academic rigour and research-driven mindset were instrumental in shaping a future focused on technological innovation and societal impact.

💼PROFESSIONAL ENDEAVORS

With eight years of professional experience as a Senior IT Consultant at IBM, Dr. Cuaya-Simbro built a formidable profile in the tech industry. His expertise spanned mainframe computing, high availability systems, virtualization, and cognitive computing. These experiences enriched his academic lens and prepared him for a robust career in research and higher education. Presently, he serves as a professor-researcher at the Higher Technological Institute of the East of the State of Hidalgo (TecNM), where he continues to bridge academic insight with real-world problem-solving.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON STRUCTURAL LEARNING

Dr. Cuaya-Simbro's research addresses key challenges in Industry 4.0, leveraging cutting-edge technologies such as artificial intelligence, robotics, IoT, cloud computing, blockchain, big data, and cyber-physical systems. His contributions include leading and co-leading over a dozen nationally funded projects—ranging from deep learning systems for soil sustainability to AI-driven cloud platforms for education. He also explores probabilistic graphical models and graph data structures, with an active focus on precision agriculture and educational AI tools. His approach is rooted in the practical application of intelligent computing to address pressing global challenges, such as food security, healthcare, and education, aligning closely with the United Nations Sustainable Development Goals (SDGs).

🌍IMPACT AND INFLUENCE

Recognized as a CONAHCYT SNI Level C member, Dr. Cuaya-Simbro has influenced both national and international spheres. He has collaborated with prestigious institutions—such as a Colombian university—on developing AI-integrated teaching support systems. His work reflects a global vision that combines academic excellence with inclusive innovation. His mentorship of undergraduate and graduate students, coupled with impactful publications and registered innovations, positions him as a thought leader in smart, sustainable technology solutions.

📚ACADEMIC CITES

Dr. Cuaya-Simbro’s work is widely cited and indexed in prominent databases including Web of Science, Scopus, Scielo, CONAHCYT, SCIMAGO, and Sciendo. His peer-reviewed articles and conference papers contribute significantly to scholarly discourse in AI, machine learning, and cyber-physical systems, with consistent recognition from the global research community.

🏅LEGACY AND FUTURE CONTRIBUTIONS

Dr. Cuaya-Simbro’s legacy lies in his ability to transform complex computational theories into actionable innovations. His role in supervising theses, developing prototypes, securing patents, and publishing scientific works solidifies his status as a pioneer in intelligent computing and Industry 4.0 applications. As a member of research networks like REHICO México and consultant for companies such as QS Data Base Specialist SA de CV and End to End Technical Support LA SA de CV, he continues to extend his influence beyond academia. His future contributions are set to further empower educational systems, enhance sustainable technologies, and inspire the next generation of computational scientists.

🔎OTHER KEY AREAS OF EXPERTISE

• Domain: Graph Data Structures and Algorithms

• Subdomain: Structural Learning

• Professional Memberships:

  • Research Network REHICO México

  • Consultant with QS Data Base Specialist SA de CV

  • Consultant with End to End (E2E) Technical Support LA SA de CV

📑NOTABLE PUBLICATIONS

"Deep learning to identifying food maturity for prevent food waste" 

• Author: German Cuaya Simbro; David Williams Cuevas Ordoñez
• Journal: Engineering, Research and Technology
• Year: 2025

"Improving structural learning in Bayesian networks: Stationarity analysis for algorithm choice" 

• Author: German Cuaya-Simbro; Manolo Tellez Meneses; Elías Ruiz Hernández
• Journal: Data and Information Management
• Year: 2025

"Proposal for an Adaptive Recommender System to Support Teaching Practices" 

• Author: German Cuaya-Simbro; Jose A. Gonzalez; Elias Ruiz; Helena CI Alemán; Alexander Barinas
• Journal: International Journal of Interactive Mobile Technologies (iJIM)
• Year: 2025

"Recommender systems as a tool in teaching: a systematic review" 

• Author: Mariana Torres-Herrera; German Cuaya-Simbro; Ciro Canales-Castillo
• Journal: Pädi Scientific Bulletin of Basic Sciences and Engineering of the ICBI
• Year: 2024

"Comparing Machine Learning Methods to Improve Fall Risk Detection in Elderly with Osteoporosis from Balance Data" 

• Author: German Cuaya-Simbro; Alberto-I. Perez-Sanpablo; Eduardo-F. Morales; Ivett Quiñones Uriostegui; Lidia Nuñez-Carrera; Sharan Srinivas
• Journal: Journal of Healthcare Engineering
• Year: 2021

Prof. Dr. Guangming Yang | Global Network | Best Academic Researcher Award

Chongqing University of Technology | China

Author Profile

Scopus

📘PROFESSOR DR. YANG GUANGMING: A VISIONARY ACADEMIC LEADER

🎓EARLY ACADEMIC PURSUITS

Professor Dr. Yang Guangming began his academic journey with a keen interest in management sciences, engineering, and public administration. His dedication and scholarly acumen led him to secure key positions in prestigious academic institutions like Chongqing University of Technology and Southwest Forestry University, where he now serves as a Doctoral Supervisor and Master Tutor. His foundational education laid the groundwork for a distinguished career in interdisciplinary research and academic mentorship, especially in the fields of tourism, environment, and regional development.

💼PROFESSIONAL ENDEAVORS

Professor Yang holds a multitude of influential roles in academia and administration. He is a Professor and Deputy Head of the Department of Tourism, Secretary of the Second Faculty Branch at Chongqing Institute of Technology and Management, and a pivotal figure guiding young researchers and scholars. His leadership is further reflected in his role as a Reserve Candidate for Academic and Technical Leadership in Chongqing and as one of the 10,000 Tourism Talents recognized by the Ministry of Culture and Tourism.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON GLOBAL NETWORK

Professor Yang’s research interests center on:

• Coordinated Regional Development

• Resource and Environmental Management

• Tourism Planning and Rural Tourism

He has successfully led and participated in more than 30 major research projects, including those funded by the National Social Science Fund of China, the Chongqing Science and Technology Bureau, and various provincial and ministerial institutions. His projects address critical challenges in ecological conservation, rural revitalization, urbanization, and high-quality manufacturing development under emerging policy paradigms like the Dual Carbon Goal. His remarkable portfolio includes over 40 scholarly publications in internationally reputed journals such as Energy, Ecological Indicators, Environmental Monitoring and Assessment, Journal of the Asia Pacific Economy, and Plos One. Among these, 13 are SCI/SSCI/EI indexed, and over 20 papers are published in CSSCI/Chinese Core Journals.

🌍IMPACT AND INFLUENCE

Prof. Yang’s influence transcends the academic sphere. He serves as an expert reviewer for numerous scientific journals and is a consultant to government bodies and cultural institutions, such as the Neijiang Municipal Bureau of Culture and Tourism, Pu'er Industrial Park Management Committee, and Banan District Health Impact Assessment Panel. He is also deeply embedded in the policy advisory ecosystem, acting as a member of the Chongqing "Belt and Road" Advisory Committee, and contributing to the Chongqing New Development Ecological Restoration and Industry Research Institute. His projects have secured over 2 million RMB in funding, affirming the societal relevance and policy-alignment of his research.

🧾ACADEMIC CITES AND PUBLISHING ACCOMPLISHMENTS

In terms of academic dissemination, Professor Yang has authored:

• 4 Monographs

• 2 Teaching Materials

• 13 International Indexed Papers (SCI/SSCI/EI)

• 20+ CSSCI/Core Chinese Journal Articles

• 5 Software Copyrights and Utility Model Patents

He holds editorial roles in journals such as the Journal of Chongqing University of Technology (Social Sciences) and Journal of Southwest University of Science and Technology, and serves as a reviewer for leading journals like Environmental Monitoring and Assessment, Energy, Ecological Indicators, and Journal of Environmental Management.

🏅RECOGNITIONS AND ROLES OF DISTINCTION

• National Commercial Science and Technology Innovation Figure

• 10,000 Tourism Talents Awardee

• Advisor to Multiple Provincial and Regional Think Tanks

• Distinguished Expert for Yunnan Minzhiyuan Industrial Group Co., Ltd.

His recognition reflects a blend of academic excellence, policy relevance, and societal impact.

🌱LEGACY AND FUTURE CONTRIBUTIONS

Professor Yang is shaping a new generation of thought leaders through his commitment to interdisciplinary education, innovation, and community engagement. His current and future projects reflect an emphasis on:

• Building smart, sustainable, and livable rural and urban ecosystems

• Innovating on high-quality economic development in alignment with China’s carbon neutrality goals

• Enhancing digital transformation and industry-academic collaboration in tourism and manufacturing

His ongoing research focuses on rural landscape corridors, industrial resilience, data-driven tourism systems, and integrated development strategies across the Chengdu-Chongqing economic belt and the Yangtze River region.

🔍RESEARCH GRANTS AND PROJECT HIGHLIGHTS

Prof. Yang has managed or participated in over 50 funded research projects, notable among them:

• Mechanism and Path Innovation of the Yangtze River National Cultural Park

• Dual Carbon Goals and Industrial Development in Chongqing

• Ecological Development and Spatial Optimization in the Yangtze River Economic Belt

• Smart Rural Ecological Value Realization through Digital Platforms

• Industry-Education Integration in Western China

The collective funding value exceeds 2 million RMB, with individual project values ranging from 10,000 RMB to 500,000 RMB.

📈VISION FOR TOMORROW

Through his multidisciplinary lens, Professor Dr. Yang Guangming continues to envision and implement frameworks that bridge academic theory and policy application. His leadership in advancing rural revitalization, tourism innovation, and regional planning aligns perfectly with China's national development strategy and global sustainability goals. He remains a torchbearer of academic excellence and a catalyst for socio-environmental transformation.

📑NOTABLE PUBLICATIONS

"Analysis of the spatial association network structure of China’s green innovation efficiency" 

• Author: Guangming Yang, Siyi Cheng, Yizhi Qin, Qingqing Gui
• Journal: Journal of the Asia Pacific Economy
• Year: 2024

"Tourism ecological efficiency and its influencing factors under the constraint of energy conservation and emissions reduction in China" 

• Author: Yang, G.
• Journal: Environment, Development and Sustainability
• Year: 2023

"Coupling coordination evaluation and driving path of digital economy and carbon emission efficiency in China: A fuzzy-set qualitative comparative analysis based on 30 provinces. " 

• Author: Li Z, Xinlan C, Yixuan M, Guangming Y
• Journal: PLOS ONE
• Year: 2023

Assoc. Prof. Dr. Zsolt Kovacs | Biological Networks | Best Researcher Award

"George Emil Palade" University of Medicine, Pharmacy, Science and Technology of Targu Mures | Romania

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🧬ZSOLT KOVACS: PIONEER IN MOLECULAR MEDICINE AND BIOCHEMISTRY

🎓EARLY ACADEMIC PURSUITS

Zsolt Kovacs began his academic journey with a strong passion for the life sciences, focusing on molecular biology and biochemistry. From an early stage, he demonstrated a deep curiosity about the intricate mechanisms of human biology. This academic inclination paved the way for a career that would blend both teaching and cutting-edge biomedical research.

🧑‍🏫PROFESSIONAL ENDEAVORS

Dr. Kovacs’s professional career reflects an unwavering commitment to both education and medical science. He currently serves as a Senior Lecturer at the University of Medicine, Pharmacy, Science and Technology "George Emil Palade" in Târgu Mureș, Romania, where he has been coordinating the theoretical and practical activities in biochemistry for first-year medical students since February 2020. Before this, he held the position of Assistant Professor (2016–2019) at the same institution, focusing on practical lab coordination. Simultaneously, he plays a key role in clinical diagnostics as a Molecular Geneticist at the Pathology Department of the Mureș County Clinical Emergency Hospital. Here, he leads the operations of the Molecular Pathology Laboratory, reinforcing the bridge between research and clinical application.

🧪CONTRIBUTIONS AND RESEARCH FOCUS ON BIOLOGICAL NETWORKS

Dr. Kovacs's research focuses on molecular oncology, particularly the epithelial-mesenchymal transition (EMT) in gastrointestinal cancers, a critical area in understanding tumor progression and metastasis. He has contributed significantly through various national and international research initiatives:

1. Principal Investigator in a grant-funded internal research project titled "Role of arilsulfatase in epithelial-mesenchymal transition of colorectal cancer" (2016–2017).

2. Team Member in the prestigious Romanian Government-funded project "GRAPHSENSGASTROINTES" (2018–2022), developing graphene-based stochastic sensors for early gastrointestinal cancer diagnosis.

3. Contributed to a Hungarian Academy of Science project (2017–2018) examining EMT in gastrointestinal tumors.

4. Participated in a project comparing diagnostic methods for protein biomarkers in cervical squamous intraepithelial lesions (2019–2021).

🧬IMPACT AND INFLUENCE

Zsolt Kovacs's work resonates across both academic and clinical domains. His involvement with the EFLM Task and Finish Group on CNAPS/CTC for Early Detection of Cancer since 2019 signifies his role in shaping European standards in liquid biopsy diagnostics—a transformative field in oncology. His interdisciplinary work in circulating tumor cells (CTC) and nucleic acids in plasma and serum (CNAPS) showcases his influence in driving forward non-invasive cancer diagnostics.

📚ACADEMIC CITES

Dr. Kovacs’s contributions to scientific literature through peer-reviewed publications and funded projects have earned him recognition in academic circles. His research is cited by professionals exploring early cancer detection, biochemical markers, and genetic regulation in tumor progression, positioning him as a respected figure in molecular diagnostics and translational medicine.

🌟LEGACY AND FUTURE CONTRIBUTIONS

Zsolt Kovacs is not only building a legacy in academic instruction and research innovation but is also nurturing future physicians and scientists through rigorous biochemistry education. His dual commitment to teaching and high-impact medical research continues to inspire excellence. Looking ahead, his ongoing participation in international research alliances ensures that he will remain at the forefront of medical science, particularly in the fields of early cancer detection, biosensors, and molecular pathology.

📑NOTABLE PUBLICATIONS

"Benefits of the 8th American Joint Committee on Cancer System for Hepatocellular Carcinoma Staging." 

• Author: ZSOLT KOVACS
• Journal: Journal of gastrointestinal cancer
• Year: 2021

"Synchronous Colorectal Cancer: Improving Accuracy of Detection and Analyzing Molecular Heterogeneity-The Main Keys for Optimal Approach." 

• Author: ZSOLT KOVACS
• Journal: Diagnostics (Basel, Switzerland)
• Year: 2021

"HER2 Heterogeneity in Gastric Cancer: A Comparative Study, Using Two Commercial Antibodies." 

• Author: ZSOLT KOVACS
• Journal: Journal of oncology
• Year: 2020

Dr. Mozhgan Khanjanianpak | Biological Networks | Best Researcher Award

Institute for Advanced Studies in Basic Sciences (IASBS) | Iran

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🌟 MOZHGAN KHANJANIANPAK: PIONEER IN COMPLEX SYSTEMS AND NEURAL DYNAMICS 🌐🧠

🎓EARLY ACADEMIC PURSUITS

Mozhgan Khanjanianpak’s academic journey began with a deep interest in solid-state physics, earning her Bachelor of Science in Physics from Bu-Ali Sina University, Hamedan, Iran (2000–2004), where she ranked 1st among her peers. She continued at the same institution for her Master’s in Physics (2005–2007), conducting a detailed thesis on BISCCO compounds under the supervision of Prof. Manouchehr Babaeipour. Demonstrating academic excellence throughout, she later secured 31st rank in the national Ph.D. entrance exam and was eventually ranked 1st in her cohort during her doctoral studies. Her Ph.D. (2016–2022) at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, focused on the coupled dynamics of disease spreading and other dynamical processes on complex networks under the guidance of Prof. Nahid Azimi.

💼PROFESSIONAL ENDEAVORS

Mozhgan’s career spans both academia and research institutions. From 2008 to 2016, she lectured at multiple Iranian universities, including Bu-Ali Sina University, Azad University, and Payame-Noor University, covering courses such as Modern Physics, Statistical Mechanics, and Thermodynamics. Her expertise and passion for complex systems led her to her current positions as a Post-doctoral Researcher at IASBS and a Researcher at the Pasargad Institute for Advanced Innovative Solutions (PIAIS), Tehran, where she actively engages in theoretical and applied studies in physics and neuroscience.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON BIOLOGICAL NETWORKS

Mozhgan's work focuses on Theoretical Neuroscience, Complex Networks, Dynamical Systems, and Evolutionary Game Theory. She investigates how brain oscillations, neural dynamics, and epidemic spread models interrelate with information processing and decision-making in biological systems. Her interdisciplinary approach connects physics with biological and social phenomena, making her research highly relevant in today’s data-driven, health-conscious world.

🌍IMPACT AND INFLUENCE

Mozhgan has made significant strides in both national and international academic arenas. She has attended prestigious schools such as the Mediterranean School of Complex Networks (Italy) and participated in collaborative research at the University of Zaragoza (Spain). Her ability to integrate mathematical models with real-world applications has contributed to the understanding of nonlinear systems and complex adaptive behaviors in networks — areas critical to epidemiology, artificial intelligence, and brain science.

🏅ACADEMIC CITES AND RECOGNITION

She has been funded by reputed institutions including the Ministry of Science, Research and Technology (Iran), IASBS, and the Iran Science Elites Federation, to support her academic travel and collaborative research efforts. Her ranking as the top Ph.D. student at IASBS in 2022 and several scientific travel grants underscore her research value and dedication to continuous learning and knowledge dissemination.

🔮LEGACY AND FUTURE CONTRIBUTIONS

Mozhgan Khanjanianpak’s trajectory signifies a legacy of blending theoretical physics with real-world complexity, especially in understanding how individual and systemic behaviors influence collective outcomes — from neural networks to epidemic dynamics. Her future work promises to delve deeper into neuro-inspired computing models, interdisciplinary data interpretation, and policy-supporting simulations for public health and education systems. With her multilingual ability (Persian, English, Spanish), programming skills (C++, Python), and teaching prowess, she stands as a formidable figure in nurturing scientific innovation and global collaboration.

📑NOTABLE PUBLICATIONS

"Optimizing information capacity in modular neural networks through excitatory and inhibitory connectivity" 

• Author:Mozhgan Khanjanianpak; Alireza Valizadeh
• Journal: Neurocomputing
• Year: 2025

"Control of cascading failures using protective measures" 

• Author: Davood Fazli; Mozhgan Khanjanianpak; Nahid Azimi-Tafreshi
• Journal: Scientific Reports
• Year: 2024

"Emergence of Complex Oscillatory Dynamics in the Neuronal Networks with Long Activity Time of Inhibitory Synapses" 

• Author: Khanjanianpak, M.; Azimi-Tafreshi, N.; Valizadeh, A.
• Journal: SSRN
• Year: 2023

"Emergence of protective behaviour under different risk perceptions to disease spreading" 

• Author:Mozhgan Khanjanianpak; Nahid Azimi-Tafreshi; Alex Arenas; Jesús Gómez-Gardeñes
• Journal: Physical and Engineering Sciences
• Year: 2022

"Competition between vaccination and disease spreading" 

• Author:Khanjanianpak, M.; Azimi-Tafreshi, N.; Castellano, C.
• Journal: arXiv
• Year: 2020

Wei Wang | Parameter Measurement | Best Researcher Award

Southeast University, School of Instrument Science and Engineering | China

Author Profile

Scopus

👨‍🎓 WANG WEI – A RISING STAR IN INTELLIGENT SYSTEMS AND MOBILE ROBOTICS

🌱EARLY ACADEMIC PURSUITS

Wang Wei began his academic journey with a strong interest in measurement and control systems, enrolling in the Bachelor of Engineering program in Measurement, Control Technology, and Instruments at Anhui University in Hefei, China, from September 2020 to July 2024. During this period, he demonstrated exceptional academic prowess, consistently ranking among the top students. His keen interest in the intersection of electronics, human factors, and intelligent systems led him to explore areas such as ergonomics and human parameter measurement, laying a solid foundation for his future research.

💼PROFESSIONAL ENDEAVORS

Although still in the early stages of his professional journey, Wang Wei has already exhibited leadership and commitment through his active participation in academic life. His designation as an Outstanding Student Cadre at Anhui University is a testament to his organizational and leadership abilities. As he progresses through his Master of Engineering in Electronic Information at Southeast University, Nanjing (2024–2027), he is poised to expand his practical experience and deepen his research contributions in the field of mobile platforms and intelligent systems.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON PARAMETER MEASUREMENT

Wang Wei’s research focuses on Perception, Recognition, Decision-Making, and Planning for Mobile Platforms, combining elements of deep learning, SLAM (Simultaneous Localization and Mapping), and reinforcement learning. He is well-versed in programming languages such as MATLAB, Python, and C, and has proficiency in frameworks like PyTorch, TensorFlow, and OpenCV. His current academic direction reflects a strong alignment with the growing demands of autonomous systems and intelligent robotics, with significant potential in fields such as smart vehicles, drone navigation, and human-computer interaction.

🌍IMPACT AND INFLUENCE

Wang Wei’s influence is already evident through the recognition he has garnered at the undergraduate level. He has been awarded the Academic Excellence Scholarship, the Three-Good Student Award, and named an Outstanding Graduate, illustrating his consistent pursuit of academic excellence and impact on the academic community. His multidisciplinary approach and adept use of modern AI techniques suggest that his future work will resonate across both academic and industrial applications.

📚ACADEMIC CITES

Although Wang Wei is still in the nascent stages of his postgraduate studies, his grounding in advanced technologies and his pursuit of a research-oriented career indicate that he is on a trajectory to contribute significantly to scholarly publications in areas such as mobile robotics, intelligent sensing, and adaptive decision-making systems. With a solid academic background and strong technical skill set, he is expected to produce peer-reviewed publications and collaborate in cutting-edge research in the coming years.

🔮LEGACY AND FUTURE CONTRIBUTIONS

Wang Wei represents the next generation of innovators in the fields of mobile intelligence and human-centric technology. With a strong educational foundation, clear research goals, and a passion for intelligent systems, he is poised to contribute meaningfully to the academic world and industry alike. His future work is likely to shape how mobile platforms perceive and interact with their environments, making technology more adaptive, efficient, and responsive to human needs.

🏅AWARDS AND RECOGNITION

Wang Wei’s academic journey has been decorated with several honors:

• Academic Excellence Scholarship, Anhui University

• Three-Good Student Award, Anhui University

• Outstanding Student Cadre, Anhui University

• Outstanding Graduate, Anhui University

📑NOTABLE PUBLICATIONS

"Dual-task optimization with multi-dimensional feature interaction for influencer recommendation" 

• Author: Xiaojing Zhou , Wei Wang , Yanzhong Hu
• Journal: Measurement Journal of the International Measurement Confederation
• Year: 2025

"Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52" 

• Author: Qiu, Y., Wang, W., Zhan, J., Huang, Y
• Journal: Academic Journal of Engineering and Technology Science
• Year: 2023

"Forest Management Plan Based on Forest Carbon Sequestration 

• Author: Wang, W., Huang, W., Fang, Y.
• Journal: Highlights in Science, Engineering and Technology
• Year: 2022

Xingyu Zhang | Technological Networks | Best Researcher Award

Communication University of China | China

Author Profile

Scopus

🌐 XINGYU ZHANG: PIONEERING NETWORK SCIENCE IN THE AGE OF AI

🎓EARLY ACADEMIC PURSUITS

Xingyu Zhang began his academic journey with a Bachelor of Science in Communication Engineering from the Engineering University of Hebei (2016–2020), where he built a strong foundation in signal processing and network communication systems. His passion for understanding digital connectivity and data-driven intelligence led him to pursue a Master of Science in Artificial Intelligence at the prestigious Communication University of China (2023–2025). His graduate studies have deepened his expertise in machine learning, emotional computing, and network analytics—laying the groundwork for impactful research in AI and social networks.

💼PROFESSIONAL ENDEAVORS

Currently serving as a Key Team Member in a major national research initiative, Zhang is actively involved in a project funded by the National Natural Science Foundation of China (Grant No. 72474198). The project, titled "Co-evolution Mechanism and Guidance Strategies of Three-dimensional Network Public Opinion Information Dissemination Based on Emotional Computing and Information Authentication", explores how information spreads emotionally and authentically through social networks. Running from March 2024 onward, this project positions him at the forefront of data-driven public opinion modeling and network governance.

🔍CONTRIBUTIONS AND RESEARCH FOCUS ON TECHNOLOGICAL NETWORKS

Zhang's primary research interests lie in the application of network science and graph analytics across social, biological, and technological networks. He specializes in influencer recommendation systems, leveraging complex data interactions to identify key opinion leaders within dynamic online environments. His work integrates semi-supervised learning, graph attention mechanisms, and emotional modeling, making significant strides in both theoretical frameworks and real-world implementations.

📑RESEARCH OUTPUT AND ACADEMIC CITES

Xingyu Zhang has co-authored influential publications in the high-impact journal Information Fusion. These include:

1. “Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the Social Environment” (with Huang, D. and Song, J. B., 2025)

2. “Dual-task Optimization with Multidimensional Feature Interaction for Influencer Recommendation” (with Song, J. B., Huang, D., and Yang, W. W., 2025)

These papers present cutting-edge models for bot detection and influencer analytics, making them highly citable in the fields of AI, social computing, and digital communication.

📌TECHNICAL INNOVATION AND PATENT

In addition to journal publications, Zhang is credited with a patent registered under the Communication University of China:

• “Multi-dimensional Feature Interaction Influencer Recommendation Method Based on Account Topic Model” — a novel method that enhances the accuracy of influencer detection through advanced feature modeling.
  This contribution demonstrates his practical impact on recommender system design and intelligent content propagation.

🌟IMPACT AND INFLUENCE

Zhang’s research has contributed significantly to understanding how influence propagates in a polarized digital space. His integration of emotional computing and information verification mechanisms offers new dimensions to curbing misinformation and enhancing online discourse quality. As social networks evolve into critical tools for communication, governance, and commerce, his work informs policy, product, and ethical frameworks.

🚀LEGACY AND FUTURE CONTRIBUTIONS

Poised at the intersection of artificial intelligence and communication science, Xingyu Zhang is expected to become a thought leader in trustworthy AI, digital public sphere modeling, and influence prediction. His ongoing contributions will shape how societies interact, how platforms recommend, and how data authenticity is maintained in the future of information ecosystems.

📑NOTABLE PUBLICATIONS

"Dual-task optimization with multi-dimensional feature interaction for influencer recommendation" 

• Author: Song, J. B., Zhang, X. Y., Huang, D., & Yang, W. W.
• Journal: Information Fusion
• Year: 2025

"Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the Social Environment" 

• Author: Huang, D., Song, J. B., & Zhang, X. Y.
• Journal: Information Fusion
• Year: 2025