Dr. Zhiwei Zhang | Deep Learning Awards | Best Researcher Award

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Dr. Zhiwei Zhang | Deep Learning Awards | Best Researcher Award 

Dr. Zhiwei Zhang, AVIC Manufacturing Technology Institute, China

Zhiwei Zhang, is a research engineer specializing in aviation manufacturing technology in China. He holds a bachelor’s and master’s degree in Automation from Shenyang Ligong University and earned his Ph.D. in Instrument Science and Technology from Yanshan University. His research focuses on digital radiographic and industrial CT nondestructive testing, computer vision, and ensemble learning algorithms for additive manufacturing. He has published seven SCI-indexed research papers and holds two authorized patents. Zhiwei Zhang also serves as a reviewer for the Journal of Computational Methods in Sciences and Engineering, reflecting his active contribution to the academic and industrial research community.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Zhiwei Zhang

Zhiwei Zhang, a highly skilled research engineer in aviation manufacturing technology, has demonstrated outstanding contributions in the fields of nondestructive testing, computer vision, and ensemble learning for additive manufacturing. His innovative research integrates cutting-edge technologies like digital radiography, industrial CT, and machine learning, addressing critical challenges in the aerospace industry.

🎓 Education

  • 🏫 Bachelor’s Degree in Automation – Shenyang Ligong University

  • 🎓 Master’s Degree in Automation – Shenyang Ligong University

  • 🧪 Ph.D. in Instrument Science and Technology – Yanshan University

💼 Work Experience

  • 👨‍🔧 Research Engineer – Specializing in aviation manufacturing technology in China

  • 🔬 Focus areas include:

    • Digital radiographic and industrial CT nondestructive testing

    • Computer vision

    • Ensemble learning algorithms for additive manufacturing

🏆 Achievements

  • 📄 Published 7 SCI-indexed research papers in high-impact journals

  • 🧾 Granted 2 authorized patents

  • 🧑‍⚖️ Reviewer for the Journal of Computational Methods in Sciences and Engineering

🎖️ Awards & Honors

  • 🏅 Recognized for contributions in nondestructive testing and AI applications in manufacturing
    (Note: Specific award titles not mentioned; can be added if provided.)

Publication Top Notes:

A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction

Complex Defects Detection of 3-D-Printed Lattice Structures: Accuracy and Scale Improvement in YOLO V7

A Prediction Model for Maximum Stress of Additive Manufacturing Lattice Structures Based on Voting-Cascading

Deep convolution IT2 fuzzy system with adaptive variable selection method for ultra-short-term wind speed prediction

An improved meta heuristic IT2 fuzzy model for nondestructive failure evaluation of metal additive manufacturing lattice structure

An improved stacking ensemble learning model for predicting the effect of lattice structure defects on yield stress

Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures

Adaptive Defect Detection for 3-D Printed Lattice Structures Based on Improved Faster R-CNN

A Hybrid Model Based on Jensen’s Inequality Theory for 3D Printed Lattice Structures Maximum Stress Prediction

Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award

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Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award 

Prof. Dr. Cedric Sueur, Université de Strasbourg, France

Cédric Sueur is a French ethologist and primatologist renowned for his contributions to the study of animal behavior and social ecology. He is a Full Professor at the University of Strasbourg and a Fellow of the Institute for Advanced Study, as well as a member of the French Academic Institute. He holds a Ph.D. in Ethology from Louis Pasteur University, Strasbourg, and the Free University of Brussels, along with an HDR qualification to supervise doctoral theses. Throughout his career, he has held prestigious academic positions, including Associate Professor at the University of Strasbourg, Visiting Professor at Kyoto University, Sun Yat-sen University, and Lille Catholic University. His research has been widely recognized, earning him numerous accolades such as the Changjiang Scholar Program award, the Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium, and recognition among the world’s top 2% of scientists by Stanford University. With a strong academic and research background, Sueur continues to contribute significantly to the field of ethology and primatology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Cédric Sueur

Cédric Sueur is a highly accomplished researcher in Ethology and Primatology, making him a strong contender for the Best Researcher Award. His outstanding academic background, extensive research contributions, prestigious honors, and leadership in the scientific community establish him as an influential figure in his field.

🎓 Education

  • 2014: HDR, Habilitation to Supervise Doctoral Theses

  • 2008: PhD in Ethology – Primatology, Louis Pasteur University, Strasbourg & Free University of Brussels

  • 2005: Master’s Degree, University Louis Pasteur, Strasbourg (With Honours)

  • 2003: Bachelor’s in Organisms’ Biology, University 14USTL, Lille (With Honours)

💼 Work Experience

  • Since 2024: Full Professor, University of Strasbourg

  • Since 2021: Invited Professor, Lille Catholic University

  • 2011-2024: Associate Professor, University of Strasbourg (Outstanding since 2022)

  • 2022 (Jan-Mar): Invited Professor, Kyoto University Institute for Advanced Study

  • 2016 (Jul-Aug): Invited Professor, Sun-Yat Sen University, China (Changjiang Scholar Program award)

  • 2008-2012: Research Associate, Unit of Social Ecology, Free University of Brussels

  • 2010-2011: Research Fellow, Primate Research Institute, Kyoto University

  • 2009-2010: Research Associate, Ecology & Evolutionary Biology, Princeton University

  • 2007-2008: Lecturer in Ethology, Strasbourg University

🏆 Awards & Honors

  • 2025: Selected for the Lumexplore Prize by the French Society of Explorers 🏅

  • 2025: Selected for the François Sommer Prize 🏆

  • 2024-2029: Member of the “Institut Universitaire de France” 🎖️

  • 2023: Best Communication Prize at Aramos Congress 🏅

  • 2023: Named Best Scientist by Research.com 🌍

  • 2022: Listed among the World’s Top 2% of Scientists by Stanford University 📊

  • 2022: Named Best Scientist by Research.com 🏅

  • 2019: Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium 🏆

  • 2019-2024: Fellow of the Institut Universitaire de France 🎖️

  • 2017: Primates Social Impact Award 🏅

  • 2016: Changjiang Scholar Program Award (Visiting Professor at Sun-Yat Sen University, China) 🇨🇳

  • 2014: Excellence Award from the French Minister of Higher Education and Research 🎓

  • 2013: Young Scientist Award from the French Society for the Study of Animal Behaviour (SFECA) 🏅

  • 2012: 3 papers among the Top 5 Cited Papers in International Journal of Primatology 📜

  • 2012: Fellow of the University of Strasbourg Institute for Advanced Study (USIAS) 🎓

  • 2010: JSPS Alumni (Japan Society for the Promotion of Science) 🇯🇵

  • 2009: Fulbright Alumni 🇺🇸

  • 2009: Prize of the Society of Biology of Strasbourg for Best Thesis 📜

  • 2009: “Le Monde de la Recherche Universitaire” Prize for Best Thesis 🎓

  • 2006-2010: Member of the European Doctoral College of Strasbourg 🌍

Publication Top Notes:

GITED:775
GITED:364
GITED:278
GITED:262
GITED:192
GITED:179
GITED:168

Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award

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Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award 

Dr. Jany Shabu, Sathyabama Institute of Science & Technology, India

Dr. S.L. Jany Shabu is an accomplished Associate Professor in the Department of Computer Science Engineering at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. With a Ph.D. in Image Fusion, her research focuses on multimodal image fusion using intelligent optimization techniques, particularly in the context of brain tumor detection. Dr. Shabu has a strong academic background, holding both M.Tech and MS degrees in Information Technology, and has published extensively, with 58 papers indexed in Scopus and four in WoS. She has received multiple accolades for her contributions to research and education, including cash awards for publishing in high-impact journals and the prestigious NPTEL Discipline Star Certificate. As an active member of the National Institute for Technical Training and Skill Development, Dr. Shabu is dedicated to advancing the field of computer science through her research, teaching, and professional engagement. Her innovative projects, including a Safety Stick for Elders, and her patents in smart traffic control and gesture-based systems, exemplify her commitment to leveraging technology for societal benefit. She has also authored several books on machine learning, cloud computing, and data analytics, further solidifying her reputation as a thought leader in her field. With a robust online presence, including profiles on ORCID and Scopus, Dr. Shabu continues to contribute to academic excellence and innovation in computer science.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. S.L. Jany Shabu is a commendable candidate for the Best Researcher Award, recognized for her significant contributions to computer science engineering and her innovative research in image fusion and optimization techniques.

Education 🎓

  • Ph.D. in Image Fusion
    Sathyabama Institute of Science and Technology
    Thesis Title: Multimodal Image Fusion using Intelligent Optimization Techniques with Brain Tumor Detection
  • M.Tech (IT) in Information Technology
    Sathyabama Institute of Science and Technology
    Graduated with First Class
  • M.S. (IT) in Information Technology
    Manonmaniam Sundaranar University
    Graduated with First Class

Work Experience 💼

  • Current Position: Associate Professor, Computer Science Engineering
    Sathyabama Institute of Science and Technology

Achievements 🌟

  • Seed Funding:
    Project Title: Safety Stick for Elders
    Amount: ₹300,000
    Period: Oct 2021 – June 2022
    Role: Co Principal Investigator
  • Patent Holder:
    1. SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
      Application No: 201741038384 – Published
    2. GARMENT STEAMER MANAGEMENT SYSTEM
      Application No: 367890-001 – Published
    3. GESTURE BASED ELECTRONIC GADGET OPERATING SYSTEM
      Application No: 202341088351 A – Published
  • Reviewer:
    • Journal of Scientific Research and Reports
    • Journal of Pharmaceutical Research International
    • International Conference on Computational Intelligence, Networks & Security
    • Book Chapter for CRC PRESS Taylor & Francis Group

Awards and Honors 🏆

  • Cash Award for Publishing Paper in High Impact WOS Journal
    Sathyabama Institute of Science and Technology (Teachers Day 2022 & 2024)
  • NPTEL Discipline Star Certificate
  • Disciplinarian Award
    Sathyabama Institute of Science & Technology, Chennai

Publication Top Notes:

DeepExuDetectNet: Diabetic retinopathy diagnosis: Blood vessel segmentation and exudates disease detection in fundus images

A swarm intelligence optimization for lung cancer detection from RNA-seq gene expression data using convolutional neural networks

A novel framework for entertainment robots in personalized elderly care using adaptive emotional resonance technologies

An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform

Rainfall prediction using machine learning techniques

Online product review using sentiment analysis

Ahmet Güneyli | Artificial intelligence Awards | Best Researcher Award

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Prof. Dr. Ahmet Güneyli | Artificial intelligence Awards | Best Researcher Award 

Prof. Dr. Ahmet Güneyli, European University of Lefka, Cyprus.

Ahmet GÜNEYLİ is a Professor of Turkish Language Teaching at the European University of Lefke in North Cyprus. With over two decades of academic experience, he has made significant contributions to Turkish language education, educational sciences, and teacher training. His career spans roles from Assistant Professor at Near East University to his current position as Professor. He supervises numerous master’s and Ph.D. theses, fostering research in multilingual education, instructional strategies, and educational management. Prof. GÜNEYLİ is an active participant in academic publishing and conference presentations, establishing himself as a leading figure in his field.

Professional Profile

Scopus

ORCID

Researcher Suitability Summary for Best Researcher Award

Professor Ahmet Güneyli exhibits exceptional academic and research credentials, positioning him as a strong candidate for the Research for Best Researcher Award. His scholarly achievements, significant contributions to Turkish language education, and commitment to mentoring young researchers underscore his suitability for this recognition.

Education 🎓

  • Undergraduate: Bachelor’s in Preschool & Primary School Education, Teachers Training College, Cyprus (2000).
  • Master’s: M.A. in Educational Sciences with a focus on Turkish Language Teaching, Ankara University, Turkey (2003).
  • Ph.D.: Educational Sciences specializing in Turkish Language Teaching, Ankara University, Turkey (2007).

Ahmet’s academic journey reflects his dedication to Turkish language education and instructional methodologies. His rigorous training has equipped him to address complex educational challenges effectively.

Experience 💼

Ahmet began his career as an Assistant Professor at Near East University in 2009, rising to Associate Professor in 2015. By 2021, he achieved full professorship at the European University of Lefke. His leadership includes supervising theses on multilingual education, bilingual instructional methods, and organizational analysis in education. His work combines practical applications with theoretical frameworks, enhancing education quality in Northern Cyprus.

Research Interests 🔬

Prof. GÜNEYLİ focuses on Turkish language education, bilingual instructional methods, and educational program evaluation. His interdisciplinary approach integrates educational sciences with language studies, aiming to advance instructional techniques and organizational efficiency in schools. His research supports inclusive and multilingual education policies.

Awards 🏆

Ahmet has earned numerous awards for his contributions to Turkish language teaching and educational sciences, underscoring his academic and professional excellence. These honors recognize his innovative teaching methods, impactful research, and dedication to advancing education.

Publications Top Notes 📚

Understanding University Students’ Foreign Language Learning Attitudes: An Analysis Based on Stereotypes

Exploring Teacher Awareness of Artificial Intelligence in Education: A Case Study from Northern Cyprus

Turkish Language Teachers’ Perspectives on Listening Skills Education in Turkey and Northern Cyprus

The effectiveness of virtual reality-based technology on foreign language vocabulary teaching to children with attention deficiency hyperactivity disorder

Examining Conjoint Behavioral Consultation to Support 2e-Autism Spectrum Disorder and Gifted Students in Preschool with Academic and Behavior Concerns

 

Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award

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Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award 

Dr. Tara P Banjade, East China University of Technology, Nanchang, China

Dr. Tara P. Banjade is an Associate Professor at the East China University of Technology, Nanchang, China, specializing in applied mathematics, seismic signal processing, and artificial intelligence applications for seismic data processing. He completed his Ph.D. in Applied Mathematics at Harbin Institute of Technology in China in 2020, following a Master’s and Bachelor’s in Mathematics from Tribhuvan University, Nepal. Dr. Banjade’s research focuses on developing mathematical algorithms for denoising seismic data, including 1D earthquake signals and 2D geophysical data like oil, gas, and ground-penetrating radar (GPR) data. His innovative approaches employ techniques such as variational mode decomposition, wavelet transforms, and artificial intelligence, including DARE U-Net for seismic noise attenuation and self-guided singular value decomposition for data edge detection.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Tara P. Banjade demonstrates an impressive academic and research profile, particularly within Applied Mathematics and Seismic Signal Processing, fields which align closely with the scope of the Best Researcher Award. His doctoral education from Harbin Institute of Technology and ongoing research position at East China University of Technology position him as a strong candidate.

Education

  1. Harbin Institute of Technology, Harbin, China
    • Ph.D. in Applied Mathematics
    • Duration: September 2015 – January 2020
  2. Tribhuvan University, Kathmandu, Nepal
    • Master’s in Mathematics
    • Duration: 2012 – 2014
  3. Tribhuvan University, Kathmandu, Nepal
    • Bachelor’s in Mathematics
    • Duration: 2006 – 2010

Work Experience

  1. Associate Professor
    • Institution: East China University of Technology, School of Geophysics and Measurement-Control Technology, Nanchang, Jiangxi, China
    • Duration: March 2023 – Present
  2. Founder/Chairperson
    • Organization: Intellisia Institute for Research and Development, Nepal
  3. Research Director
    • Organization: Girija Prasad Koirala Foundation
    • Duration: 2020 – Present
  4. Visiting Scientist
    • Institution: Research Centre for Applied Science and Technology (RECAST), Tribhuvan University, Nepal
  5. Founding Member and Mathematics Lecturer
    • Institution: Arunima College, Tribhuvan University, Nepal
    • Duration: 2020 – 2023
  6. Executive Member
    • Organization: Nepal Mathematical Society
    • Duration: 2021 – 2024
  7. Visiting Faculty
    • Institution: School of Mathematical Science, Tribhuvan University, Nepa.

Publication top Notes:

Seismic Random Noise Attenuation Using DARE U-Net

Enhancing seismic data by edge-preserving geometrical mode decomposition