Mr. Ranran Wang | Artificial Intelligence | Research Excellence Award

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Mr. Ranran Wang | Artificial Intelligence | Research Excellence Award 

Mr. Ranran Wang | Artificial Intelligence | Shandong Agricultural University | China

Mr. Ranran Wang is an accomplished PhD scholar, associate professor, IEEE member, and seasoned academic in mechanical, electronic, and agricultural engineering, widely recognized for his contributions to intelligent detection systems, agricultural mechanization, precision management technologies, and integrated engineering innovations. With a strong educational foundation beginning with a Bachelor of Science in Electrical Engineering from Shandong University of Technology, followed by a master’s degree from the School of Electrical Engineering at Shandong University, and a PhD in Mechanical and Electronic Engineering from Shandong Agricultural University, Wang Ranran further expanded his expertise through postdoctoral research at the Plant Protection Postdoctoral Research Station and international academic collaboration as a visiting scholar at Iwate University in Japan. Professionally, Wang Ranran has maintained a long-standing academic role at the College of Mechanical and Electronic Engineering at Shandong Agricultural University, where he has contributed to teaching, research, academic evaluation, scientific leadership, and interdisciplinary innovation. He has served as a reviewer for multiple journals, a mentor for elite engineering talent programs, an expert reviewer for investment projects, and a key member of numerous provincial and municipal scientific committees. His professional service includes roles such as expert reviewer for forestry, agricultural engineering, water and fertilizer integration facilities, rural revitalization, electric power industry development, and technological innovation alliances, as well as leadership positions including technology commissioner, science and technology mayor, and vice chairman in provincial agricultural technology extension associations.

Citation Metrics (Scopus)

200

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Citations
180

Documents
35

h-index
7

Citations
Documents
h-index

View Scopus Profile

Featured Publications

Ms. Martina Formichini | Artificial Intelligence | Best Researcher Award

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Ms. Martina Formichini | Artificial Intelligence | Best Researcher Award 

Ms. Martina Formichini | Artificial Intelligence | Sant’Anna School of Advanced Studies | Italy

Ms Martina Formichini is an Italian researcher whose interdisciplinary academic and professional background positions her strongly within the domains of physics, artificial intelligence, remote sensing, and large-scale data analytics. Ms Martina Formichini completed her Bachelor’s Degree in Physics at Sapienza University of Rome, followed by a Master’s Degree in Physics of Biosystems at the same institution, where she developed foundational expertise in top-down visual perception modelling using fMRI and in the application of physical-statistical methods to complex economic and technological networks. She further strengthened her skill set through a Master in Big Data Analytics & Social Mining at the University of Pisa, gaining advanced training in data science, neural networks, scalable architectures, and machine learning for satellite imagery. Professionally, Ms Martina Formichini worked in research collaboration at Sapienza University investigating motif significance in economic-technological networks, later serving as a Programmer at Eustema S.p.A., a Senior Analyst and Solution Developer at Avanade, and an intern at Almaviva S.p.A., where she contributed to deep learning projects in computer vision and environmental monitoring using aerial and satellitar imagery. Her current role as a Ph.D. researcher at Scuola Superiore Sant’Anna focuses on artificial intelligence systems for terrain, vegetation, and soil classification, using segmentation techniques and deep learning frameworks. Her research interests include AI-based remote sensing, environmental monitoring, image segmentation, complex networks, NLP, statistical modelling, and high-performance data processing. Ms Martina Formichini possesses strong skills in machine learning, computer vision, Python ecosystems, SQL, scalable analytics, cloud-based cognitive services, data engineering workflows, and end-to-end predictive modelling. Her collaborative research mindset, leadership in group projects, and experience across academic and industrial settings demonstrate strong potential for impactful multidisciplinary contributions.

Professional Profiles: ORCID  

 Selected Publications

A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery

Deep Learning-Based Segmentation for Terrain Classification in Aerial Imagery

Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award

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Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award 

Mr. Koagne Silas, University of Dschang, Cameroon

KOAGNE LONGPA TAMO Silas is a Cameroonian researcher and Ph.D. student in Physics at Dschang State University, specializing in medical physics with a strong focus on automation and applied computer science. His academic background spans both physics and electrical engineering, with degrees from the University of Dschang and the University of Bamenda, where he developed expertise in embedded systems, analog artificial neural networks, and electronics. Silas has extensive experience in microcontroller programming, analog and digital circuit simulation, and tools such as MATLAB, Arduino, Proteus, and Cadence Virtuoso. In addition to his research, he has served as an electronics teacher at various technical colleges and as a junior lecturer in computer science. His hands-on experience includes internships in electronics maintenance and electrical network installation. A bilingual communicator in English and French, Silas is known for his leadership, creativity, and commitment to advancing applied technologies in medical physics.

Professional Profile:

SCOPUS

🏅 Summary of Suitability Pioneer Researcher Award 

KOAGNE LONGPA TAMO Silas is an emerging research talent in the field of medical physics and electronics, demonstrating a rare combination of early innovation, technical depth, and applied problem-solving across interdisciplinary domains. As a Ph.D. candidate with an M.Sc. specialization in analog artificial neural networks for medical applications, Silas is pioneering research at the intersection of electronics, embedded systems, and health technologies, aligning closely with the spirit of the Pioneer Researcher Award.

🎓 Education Background

  • Ph.D. in Physics (Medical Physics) – Dschang State University, Cameroon (📅 Dec 2022 – Present)

    • 🧠 Research Focus: Analog Artificial Neural Networks

    • 👨‍🏫 Supervisor: Prof. Geh Wilson Ejuh

  • M.Sc. in Physics, Electronics Speciality – Dschang State University, Cameroon (📅 July 2022)

    • 📘 Thesis: Specification and implementation of multilayer perceptron analog artificial neural networks

    • 👨‍🏫 Supervisor: Dr. Djimeli Tsajio Alain B.

  • B.Sc. in Physics – Dschang State University, Cameroon (📅 Aug 2021)

  • DIPET 2 in Electronics – University of Bamenda (📅 July 2020)

    • 🛰 Dissertation: Design and implementation of a digital breath alcohol detection system with SMS alert and vehicle tracking

  • DIPET 1 in Electronics – University of Bamenda (📅 Aug 2018)

    • 🚪 Project: RFID-based electronic attendance system with automatic door unit

  • GCE A/L – Government Bilingual High School, Mbouda (📅 July 2015)

  • GCE O/L – Government Bilingual High School, Mbouda (📅 June 2013)

  • FSLC – Ecole Primaire Bilingue de la Promotion, Mbouda (📅 June 2008)

💼 Work Experience

  • Electronics Teacher – Government Technical College Ngombo-ku, Cameroon (📅 Jan 2021 – Present)

  • Junior Lecturer in Computer Science – Higher Technical Teacher Training College Bambili (📅 2019–2020)

  • Electronics Teacher – Government Technical High School Bambui (📅 2017–2018)

  • Internship – Electronics & Maintenance

    • 📍 HYTECHS, Yaoundé (📅 2019)

    • 🔧 Worked on printer maintenance & installation

  • Internship – Electrical Network Installation

    • 📍 MEECH CAM Sarl, Yaoundé (📅 2016)

    • ⚡ Focus on underground cable installation and high voltage network

🏆 Achievements & Awards

  • ✅ Successfully designed and implemented:

    • 🤖 An analog artificial neural network (M.Sc. Thesis)

    • 🚘 A breath alcohol detection system with GPS and SMS alerts

    • 🛂 An RFID-based attendance system with automated doors

  • 📚 Published and presented academic work in medical physics and embedded systems

  • 👨‍🏫 Contributed to higher education through teaching and mentoring roles across several institutions

  • 🎓 Admitted to Ph.D. program based on excellent academic performance

  • 💻 Advanced skills in MATLAB, Arduino, MikroC, Cadence Virtuoso, PSPICE & Proteus

  • 🗣️ Bilingual in English and French – great asset for teaching and collaboration

Publication Top Notes:

Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks

Prof. Dr. Tamara Gajic | Artificial Intelligence Awards | Top Researcher Award

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Prof. Dr. Tamara Gajic | Artificial Intelligence Awards | Top Researcher Award 

Prof. Dr. Tamara Gajic, Geographical Institute “Jovan Cvijic” Serbian Academy of Sciences and Arts, Belgrade, Serbia

Tamara Gajić is a distinguished Senior Research Associate at the Geographical Institute “Jovan Cvijić” of the Serbian Academy of Sciences and Arts (SASA), specializing in social geography. She holds a Ph.D. in Geosciences from the University of Novi Sad and has extensive experience in research and education across various institutions. Her academic career spans several positions, including Senior Researcher at the Institute of Environmental Engineering, People’s Friendship University of Russia (RUDN University), and Associate Professor at Singidunum University in Belgrade. She has also served as a professor and assistant professor at various universities in Serbia, Bosnia, and Herzegovina. Gajić’s research focuses on rural development, tourism management, and sustainable practices in agritourism, gastrotourism, and sport tourism. She has contributed to numerous projects, including the modernization of tourism study programs in Serbia and feasibility studies for spa tourism. Gajić is an active member of various professional organizations, including the Serbian Geographical Society and the Tourist Organization of Serbia, and has mentored numerous graduate and doctoral students. Her expertise in integrating economics, service quality, and human resources in tourism management has earned her recognition as one of the top 10% of distinguished scientists in Serbia in 2024.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Suitability of Tamara Gajić for the Top Researcher Award

Tamara Gajić is highly qualified for the Top Researcher Award due to her extensive academic and professional achievements in the fields of Geography, Rural Studies, and Tourism Management. Below are the key reasons why she is a suitable candidate for this prestigious award:

Academic Degrees:

🎓 Ph.D. in Geosciences
📅 2010
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

🎓 M.Sc. in Tourism Management
📅 2007
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

🎓 B.Sc. in Tourism Management
📅 2001
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Serbia 🇷🇸

Research & Teaching Interests:

🌍 Research Areas:

  • Geography 🌍
  • Rural Studies 🌾
  • Tourism Management 🌐
    Focus on Agrotourism, Gastrotourism, and Sport Tourism 🏞️🍴🏃‍♀️
    Intersection of Economics in Tourism, Service Quality, and Human Resources 💼
    Sustainability in Environment and Tourism 🌱

Previous Employment:

  • Associate Professor
    📅 February 2021 – September 2021
    Faculty of Tourism and Hotel Management, Singidunum University, Belgrade, Serbia 🇷🇸
  • Assistant Professor
    📅 October 2018 – February 2022
    University for Business Studies, Banja Luka, Bosnia and Herzegovina 🇧🇦
  • Professor of Vocational Studies
    📅 October 2008 – February 2021
    Novi Sad Business School, Novi Sad, Serbia 🇷🇸

Publication top Notes:

Innovative Approaches in Hotel Management: Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to Enhance Operational Efficiency and Sustainability

The Contribution of the Farm to Table Concept to the Sustainable Development of Agritourism Homesteads

Fostering Sustainable Urban Tourism in Predominantly Industrial Small-Sized Cities (SSCs)—Focusing on Two Selected Locations

Leveraging digital platforms for responsible sports tourism: Budapest’s role in the 2020 European football championship

Tourists’ Willingness to Adopt AI in Hospitality—Assumption of Sustainability in Developing Countries

The Adoption of Artificial Intelligence in Serbian Hospitality: A Potential Path to Sustainable Practice

Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

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Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

Prof. Hsin-Yuan Chen, Zhejiang University, China

H.Y. J. Chen is an accomplished researcher with expertise spanning multiple fields including bioengineering, materials science, and guidance system technologies. Holding a Web of Science ResearcherID (JSL-7102-2023) , Chen has an impressive H-index of 58, with over 11,000 citations accumulated from works published between January 2000 and March 2024. Some of Chen’s notable contributions include studies on biochar anodes for lithium-ion batteries, computational fluid dynamics (CFD) analysis of cormorant takeoff mechanisms, and innovations in van der Waals semiconductor photodetectors. Chen’s interdisciplinary work also extends into preprints and collaboration on machine learning applications in conformal field theories.

Professional Profile:

Scopus

Suitability Summary for Research for Outstanding Scientist Award

Researcher: H.Y. J. Chen

Summary:

H.Y. J. Chen stands out as a highly suitable candidate for the Research for Outstanding Scientist Award due to his exceptional contributions and interdisciplinary expertise across multiple scientific domains. Chen’s research spans bioengineering, materials science, and guidance system technologies, showcasing a profound impact on these fields.

🎓Education:

H.Y. J. Chen is an accomplished researcher with expertise in bioengineering, materials science, and guidance system technologies. Chen earned both his Master’s and Bachelor’s degrees, as well as a Ph.D., from National Cheng Kung University, Taiwan.

Publication Top Notes:

  • Protective Effects of an Oligo-Fucoidan-Based Formula Against Osteoarthritis Development via iNOS and COX-2 Suppression Following Monosodium Iodoacetate Injection
    • Citations: 0
  • Hinokitiol Inhibits Breast Cancer Cells In Vitro Stemness-Progression and Self-Renewal with Apoptosis and Autophagy Modulation via the CD44/Nanog/SOX2/Oct4 Pathway
    • Citations: 1
  • Alleviating 3-MCPD-Induced Male Reproductive Toxicity: Mechanistic Insights and Resveratrol Intervention
    • Citations: 1
  • Hinokitiol as a Modulator of TLR4 Signaling and Apoptotic Pathways in Atopic Dermatitis
    • Citations: 1
  • Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
    • Citations: 7