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

Posted on 09/01/2025 by ScienceFather

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

Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award

Posted on 04/01/2025 by ScienceFather

Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award

Mr. Shiraz Kaderuppan, Newcastle University, Singapore

Shiraz is a Singaporean educator and data analytics enthusiast with extensive experience in enhancing deep neural network (DNN) architectures for feature recognition and extraction in image processing applications. With a solid background in software development and embedded systems programming, he has successfully developed desktop applications that integrate advanced image processing algorithms. Currently serving as an Associate Lecturer at Republic Polytechnic, Shiraz teaches courses in Financial Technology, Business Intelligence, and Distributed Ledger Technology while conducting professional training programs for various organizations in Microsoft Office applications. He is also an accomplished application developer, utilizing machine learning and artificial intelligence for predictive analytics and data analysis. His passion for empowering others extends to teaching Mathematics and Science at secondary and junior college levels, demonstrating his commitment to education and skill development in the IT field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Shiraz S/O Kaderuppan stands out as a highly suitable candidate for the Best Researcher Award due to his extensive experience and impressive contributions to the field of data analytics and deep learning, particularly in image processing applications. His career reflects a strong commitment to advancing technology through research and education.

Education 🎓

Republic Polytechnic
Diploma in Financial Technology, Business Intelligence & Distributed Ledger Technology
Mar 2023 – Present

Work Experience 💼

Associate Lecturer
Republic Polytechnic
Mar 2023 – Present
- Conducted courses for diploma students in Financial Technology, Business Intelligence, and DLT solutioning.
Corporate Trainer
Self-Employed
Jul 2014 – Present
- Provided training for corporate clients and private individuals in advanced Microsoft Office applications and IBM products.
Application Developer
Self-Employed
May 2012 – Present
- Developed desktop applications using C# .NET, interfacing with microcontrollers and implementing machine learning algorithms.
ML/AI Developer
Self-Employed
Sep 2008 – Present
- Applied machine learning and deep learning algorithms for data analysis and forecasting.
Educator
Self-Employed
Aug 2010 – Present
- Provided secondary school and JC-level tuition for Mathematics and Science subjects.
General Education Officer (Teacher)
Ministry of Education
Sep 2007 – Jan 2009
- Taught Biology, Chemistry, and General Science at Tampines and Bedok North Secondary Schools.
Founder & Business Development Manager
Self-Employed
Jan 2005 – Jun 2007
- Managed retail of scientific components globally and established a network of professional purchasers.

Achievements 🌟

Successfully conducted numerous training programs for companies and government bodies, focusing on advanced features of Microsoft Office for business intelligence and data analysis.
Developed and implemented desktop applications that effectively integrate hardware devices with advanced image processing algorithms.
Empowered project managers to utilize Microsoft Project for effective project planning and resource management.

Awards & Honors 🏆

Recognized for excellence in teaching and training methodologies at Republic Polytechnic and in corporate training programs.
Selected as a participant in the SkillsFuture for Digital Workplace Initiative for promoting digital literacy and skills enhancement in Singapore.

Publication Top Notes:

Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico

O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy

Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Posted on 28/12/202428/12/2024 by ScienceFather

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Dr. Akmal Jahan Mohamed Abdul Cader, South Eastern University, Sri Lanka.

Dr. Akmal Jahan Mohamed Abdul Cader is a distinguished academic and researcher currently serving as a Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka. With extensive experience in higher education, he is a Visiting Research Fellow at QUT, Australia. His research interests include artificial intelligence, data science, and document image analysis. Dr. Cader has published numerous high-impact articles and is actively involved in academic development and curriculum design. He is committed to advancing education and research in the field of computer science.

Publication Profiles

Googlescholar

Education and Experience

Visiting Research Fellow – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present)
Senior Lecturer (Computer Science) – South Eastern University of Sri Lanka (2020 – Present)
Sessional Academic – School of Electrical Engineering & Computer Science, QUT (2016 – 2019)
Lecturer (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015)
Assistant Lecturer – South Eastern University of Sri Lanka (2010 – 2012)
Demonstrator in Computer Science – South Eastern University of Sri Lanka (2009 – 2010)

Suitability For The Award

Dr. Mac Akmal Jahan Mohamed Abdul Cader, Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka, is a highly accomplished academic and researcher, making him an exemplary candidate for the Best Researcher Award. With a career spanning over a decade, Dr. Cader has consistently demonstrated leadership in research, teaching, and academic development, particularly in the fields of artificial intelligence, computer science, and digital technologies. His research contributions, coupled with his active involvement in academic service, professional organizations, and international collaborations, solidify his standing as a leading figure in his domain.

Professional Development

Dr. Cader has participated in several professional development programs focused on effective communication, teaching and learning, and project-based learning. He has completed various certifications at QUT, enhancing his skills in pedagogy and curriculum development. His commitment to continuous improvement in education is evident in his active engagement in workshops and training sessions aimed at promoting best practices in teaching. As a Fellow of the Higher Education Academy, he champions high standards in academic instruction and student engagement.

Research Focus

Dr. Cader’s research primarily focuses on artificial intelligence, data science, and document image analysis. He explores the synthesis and application of synthetic metals, aiming to develop innovative solutions in electronics and energy storage. His work on TCNQ chemistry has significant implications for biotechnology and medicine, including the construction of electrochemical sensors and drug delivery systems. By synthesizing novel compounds, he contributes to advancements in both theoretical and practical aspects of computer science and materials research.

Awards and Honors

Senate Honours Award for High Impact Publications – SEUSL (2022 & 2023)
Queensland University of Technology Postgraduate Award (QUTPRA) (2015)
Faculty Write Up (FWU) Scholarship – QUT, Australia (2019)
Effective Communication in Teaching and Learning – QUT, Australia (2019)
Foundation of Teaching and Learning – QUT (2018)

Publication Top Notes

Locating tables in scanned documents for reconstructing and republishing | Cited by: 46 | Year: 2014
Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14) | Cited by: 37 | Year: 2014
AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments | Cited by: 34 | Year: 2014
Plagiarism detection tools and techniques: A comprehensive survey | Cited by: 23 | Year: 2021
Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges | Cited by: 11 | Year: 2023
Contactless finger recognition using invariants from higher order spectra of ridge orientation profiles | Cited by: 10 | Year: 2018
Accelerating text-based plagiarism detection using GPUs | Cited by: 10 | Year: 2015
Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariants | Cited by: 9 | Year: 2018

Assoc. Prof. Dr. Mahmoud Bayat | Artificial intelligence Award | Best Researcher Award

Posted on 20/12/2024 by ScienceFather

Assoc. Prof. Dr. Mahmoud Bayat | Artificial intelligence Award | Best Researcher Award

Assoc. Prof. Dr. Mahmoud Bayat, Research Institute of Forests and Rangelands, Iran

Mahmoud Bayat is an Assistant Professor at the Research Institute of Forests and Rangelands, part of the Agricultural Research, Education, and Extension Organization (AREEO) in Tehran, Iran. He earned his B.A., M.Sc., and Ph.D. degrees from the University of Tehran, specializing in forestry science. Mahmoud has collaborated with renowned researchers, including Dr. Charles P.-A. Bourque, Dr. Pete Bettinger, Dr. Eric Zenner, Dr. Aaron Weiskittel, Dr. Harold Burkhart, and Dr. Timo Pukkala. His research focuses on forest modeling and inventory, with particular interest in applying artificial intelligence and machine learning techniques in forestry. Currently, he is working on projects related to growth and yield models for uneven-aged and mixed broadleaf forests using neural networks and the monitoring and mapping of tree species richness in northern Iran’s forests through symbolic regression and artificial neural networks. Mahmoud is proficient in statistical tools such as SPSS and MATLAB, and he is eager to share his expertise and discuss potential collaborations. For more information, his profiles can be found on ResearchGate, Google Scholar, and Scopus.

Professional Profile:

SCOPUS

Mahmoud Bayat’s Suitability for the Research for Best Researcher Award

Based on the provided details, Mahmoud Bayat demonstrates a strong candidacy for the Research for Best Researcher Award due to his extensive academic and professional contributions. Below is a summary supporting his suitability

Education 🎓

Ph.D. in Forestry Science
University of Tehran, Iran
M.Sc. in Forestry Science
University of Tehran, Iran
B.A. in Forestry Science
University of Tehran, Iran

Work Experience 🏢

Assistant Professor
Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO)
Tehran, Iran
Year: [Specify Year] – Present
Research Collaborator
Worked with:
- Dr. Charles P.-A. Bourque
- Dr. Pete Bettinger
- Dr. Eric Zenner
- Dr. Aaron Weiskittel
- Dr. Harold Burkhart
- Dr. Timo Pukkala

Research Interests 🔍

Forest modeling and inventory
Application of artificial intelligence and machine learning in forestry

Current Projects 📊

Growth and Yield Models for Uneven-Aged and Mixed Broadleaf Forest
- Method: Neural Network
Monitoring, Mapping, and Modeling Variation in Tree Species Richness
- Method: Symbolic Regression and Artificial Neural Networks
- Location: Northern Iran Forests

Publication Top Notes:

Comparison of Random Forest Models, Support Vector Machine and Multivariate Linear Regression for Biodiversity Assessment in the Hyrcanian Forests

Projected biodiversity in the Hyrcanian Mountain Forest of Iran: an investigation based on two climate scenarios

Recreation Potential Assessment at Tamarix Forest Reserves: A Method Based on Multicriteria Evaluation Approach and Landscape Metrics

Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin

Development of multiclass alternating decision trees based models for landslide susceptibility mapping

Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Posted on 09/12/2024 by ScienceFather

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
2021: Health Services Management Certificate
2016: Ph.D. in Medical Sciences, Ophthalmology
2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

Romanian Society of Ophthalmology (2006-present)
European Society of Retina Specialists (2011-present)
European Society of Ophthalmology (2011-present)

Publication Top Notes

The use of artificial neural networks in studying the progression of glaucoma

Navigating Surgical Challenges: Managing Juvenile Glaucoma in a Patient with Dorfman–Chanarin Syndrome

A Mini-Review on Gene Therapy in Glaucoma and Future Directions

White Light Diffraction Phase Microscopy in Imaging of Breast and Colon Tissues

Initial Clinical Experience with Ahmed Valve in Romania: Five-Year Patient Follow-Up and Outcomes

Odontogenic Orbital Cellulitis at the Crossroads of Surgeries: Multidisciplinary Management and Review

Prof. Yuguo Yu | Artificial Neural Awards | Best Researcher Award

Posted on 06/12/2024 by ScienceFather

Prof. Yuguo Yu | Artificial Neural Awards | Best Researcher Award

Prof. Yuguo Yu, Fudan University, China

Yuguo Yu, Ph.D., is a distinguished professor in Brain-inspired Artificial Intelligence and Computational Neuroscience at Fudan University, where he has been a faculty member since 2011. He currently serves as a professor at both the Research Institute of Intelligent Complex Systems and the National Key Laboratory of Medical Neurobiology. Yu obtained his Bachelor’s degree in Physics from Lanzhou University in 1995 and completed his Ph.D. in Condensed Matter Physics at Nanjing University in 2001. He pursued postdoctoral training in Computational/Behavior Neuroscience at Carnegie Mellon University from 2001 to 2004 and was an Associate Research Scientist at Yale University from 2005 to 2011, where he continues to contribute as a visiting Research Scientist since 2021. Yu has been recognized for his academic excellence through prestigious awards, including the Shanghai Eastern Scholar Professorship in 2013 and the Shanghai Excellent Academic Leader award in 2021. He is an active member of the Chinese Society of Computational Neuroscience and serves as an associate editor for several prominent journals, including IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Computational Neuroscience. His research interests encompass brain-inspired neural networks, cellular mechanisms of energy-efficient cortical dynamics, synaptic learning mechanisms, and large-scale cortical network modeling, with over 100 publications in leading journals such as Nature and Neuron. Yu has also led or participated in numerous national foundation projects, advancing the field of computational neuroscience.

Professional Profile:

GOOGLE SCHOLAR

Research for Best Researcher Award

Candidate Overview: Dr. Yuguo Yu is a prominent researcher and professor in Brain-inspired artificial intelligence and computational neuroscience at Fudan University. With extensive academic and research experience, he is a strong candidate for the Best Researcher Award due to his significant contributions to the field, impactful publications, and leadership roles.

Education

B.Sc. in Physics
Lanzhou University, 1995
Ph.D. in Condensed Matter Physics
Nanjing University, 2001
Postdoctoral Researcher in Computational Neuroscience
Carnegie Mellon University, 2001–2004
Research Scientist in Neurobiology
Yale University, 2005–2011

Work Experience

Professor
Research Institute of Intelligent Complex Systems, Fudan University, 2020–Present
Professor
National Key Laboratory of Medical Neurobiology, Fudan University, 2013–Present
Visiting Research Scientist
Yale University School of Medicine, 2021–Present
Associate Research Scientist
Department of Neuroscience, Yale University, 2005–2011

Research Interests:

Brain-inspired Intelligence and Computational Neuroscience
Neural Computation Model
Neural Coding Theory
Network Topology Analysis
Sensory Fusion Mechanism
Brain Connectome Atlas
Self-organizing Learning Algorithm
Multi-sensory Fusion Model
Low-power Mechanism of the Human Brain 🔍

Publication Top Notes

Map-reduce for machine learning on multicore

CITED:1904

Modulation of intracortical synaptic potentials by presynaptic somatic membrane potential

CITED:444

Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation

CITED:300

Properties of action-potential initiation in neocortical pyramidal cells: evidence from whole cell axon recordings

CITED:238

Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics

CITED:219

Selective control of cortical axonal spikes by a slowly inactivating K+ current

CITED:216

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

Posted on 08/11/2024 by ScienceFather

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

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

Work Experience

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

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

Posted on 14/09/2024 by ScienceFather

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

Prof. Hsin-Yuan Chen, Zhejiang University, Taiwan

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 Zhejiang University, Hangzhou, China.

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

Prof. Changgyun Kim | Artificial Intelligence Award | Best Researcher Award

Posted on 25/07/2024 by ScienceFather

Prof. Changgyun Kim | Artificial Intelligence Award | Best Researcher Award

Prof. Changgyun Kim, Department of Artificial Intelligence & Software/Samcheok,South Korea

Changgyun Kim is an esteemed academic and researcher associated with Kangwon National University, Department of Artificial Intelligence & Software, and Dongguk University’s Industrial Engineering department in South Korea. His research expertise spans deep learning, healthcare, and data mining. He has made significant contributions to the field, including developing AI-based systems for detecting betting anomalies in sports, diagnosing tooth-related diseases using panoramic images, and creating models for obesity diagnosis using 3D body information. His work is published in renowned journals such as Scientific Reports, Annals of Applied Sport Science, JMIR Medical Informatics, Sensors, Sustainability, the International Journal of Distributed Sensor Networks, and Applied Sciences. Dr. Kim’s notable projects include establishing IoT-based smart factories for SMEs in Korea and developing web applications for obesity diagnosis using data mining methodologies. His extensive research portfolio underscores his commitment to advancing AI applications in various domains

Professional Profile:

ORCID

Education

No specific details about Changgyun Kim’s educational background are provided in the provided information. To give a more comprehensive overview, details such as degrees obtained, institutions attended, and fields of study would be needed.

Work Experience

Dongguk University: Jung-gu, Seoul, KR
- Department: Industrial Engineering
- Position: Not specified in the provided information.
Kangwon National University
- Department: Artificial Intelligence & Software
- Position: Not specified in the provided information.