Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

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Prof. Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Professor at Zhejiang Ocean Univeristy, China

Wei-Zhi Wu, Ph.D., is a distinguished Professor of Mathematics at Zhejiang Ocean University in Zhoushan, China. With a prolific career in applied mathematics, Dr. Wu specializes in granular computing, data mining, and the mathematical foundations of artificial intelligence. He has contributed to over 200 articles in esteemed journals, as well as four key monographs. His expertise has earned him repeated recognition on Elsevier’s Most Cited Chinese Researchers list (2014-2023), as well as among the Top 100,000 Scientists globally, with a remarkable 2% percentile ranking in both career and annual categories. Dr. Wu also holds prominent editorial roles in various international academic journals.

Publication Profile

scholar

Education🎓

B.Sc. in Mathematics – Zhejiang Normal University, Jinhua, China, 1986 M.Sc. in Mathematics – East China Normal University, Shanghai, China, 1992 Ph.D. in Applied Mathematics – Xi’an Jiaotong University, Xi’an, China, 2002

Experience🖊️ 

Professor of Mathematics – School of Information Engineering, Zhejiang Ocean University, Zhoushan, Chin Extensive Publications – Authored 200+ articles and 4 monographs in mathematics, computing, and AI Editorial Board Membership – Serves on multiple prestigious international journals, contributing to mathematical and AI research dissemination Research Leader – Notable for pioneering efforts in granular computing, data mining, and AI foundations

Awards and Honors🏆

Most Cited Chinese Researchers – Featured in Elsevier’s list (2014-2023) mTop Global Scientist – Ranked in the Top 100,000 Scientists worldwide, with a career-long and single-year ranking in the top 2%  Prolific Author – Renowned for influential monographs and extensive publication record Editorial Distinction – Serves as an editorial board member for multiple top-tier international journals

Research Focus🌍

Granular Computing – Explores and applies granular structures in computational systems  Data Mining – Develops and advances data mining techniques for complex data analysis Mathematics of AI – Examines foundational mathematical principles underpinning artificial intelligence algorithms  Interdisciplinary Applications – Integrates applied mathematics into practical AI and computing solutions

Publication  Top Notes

  • 粗糙集理论与方法 (Rough Set Theory and Methods)
    Authors: 张文修, 吴伟志, 梁吉业, 李德玉
    Publisher: 科学出版社 (Science Press)
    Citations: 620*
    Year: 2001
  • Generalized Fuzzy Rough Sets
    Authors: W.Z. Wu, J.S. Mi, W.X. Zhang
    Journal: Information Sciences, Vol. 151, pp. 263-282
    Citations: 769
    Year: 2003
  • Constructive and Axiomatic Approaches of Fuzzy Approximation Operators
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3), pp. 233-254
    Citations: 554
    Year: 2004
  • Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model
    Authors: J.S. Mi, W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3-4), pp. 255-272
    Citations: 525
    Year: 2004
  • Granular Computing and Knowledge Reduction in Formal Contexts
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: IEEE Transactions on Knowledge and Data Engineering, Vol. 21(10), pp. 1461-1474
    Citations: 432
    Year: 2009
  • Knowledge Acquisition in Incomplete Information Systems: A Rough Set Approach
    Authors: Y. Leung, W.Z. Wu, W.X. Zhang
    Journal: European Journal of Operational Research, Vol. 168(1), pp. 164-180
    Citations: 414
    Year: 2006
  • Neighborhood Operator Systems and Approximations
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 144(1), pp. 201-217
    Citations: 284
    Year: 2002
  • On Characterizations of (I, T)-Fuzzy Rough Approximation Operators
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: Fuzzy Sets and Systems, Vol. 154(1), pp. 76-102
    Citations: 279
    Year: 2005
  • Knowledge Reduction in Random Information Systems via Dempster–Shafer Theory of Evidence
    Authors: W.Z. Wu, M. Zhang, H.Z. Li, J.S. Mi
    Journal: Information Sciences, Vol. 174(3-4), pp. 143-164
    Citations: 267
    Year: 2005
  • A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems
    Authors: Y. Leung, M.M. Fischer, W.Z. Wu, J.S. Mi
    Journal: International Journal of Approximate Reasoning, Vol. 47(2), pp. 233-246
    Citations: 258
    Year: 2008

Conclusion

Dr. Wei-Zhi Wu is a highly accomplished researcher whose work demonstrates both depth and breadth across mathematics, data mining, and AI. His robust research profile, substantial publications, international recognition, and leadership roles affirm his suitability for the Best Researcher Award. Given his impactful contributions to foundational AI research, awarding him could encourage further advances in mathematical applications within AI and inspire other scholars in related fields.

Jeffrey Ardell | Neurocardiology | Best Researcher Award

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Prof Dr. Jeffrey Ardell | Neurocardiology | Best Researcher Award

Professor of Medicine at UCLA, United States

This extensive professional profile highlights a distinguished academic and research career in physiology, pharmacology, and neurocardiology. After completing a B.A. in Biology from Colorado College (1975) and a Ph.D. in Physiology from the University of Washington (1980), the individual progressed through key positions in academia. Starting as a Research Associate at Michigan State University (1980-1982), they held professorial roles at the University of South Alabama and East Tennessee State University before their current tenure as Professor-in-Residence at UCLA, where they co-direct the UCLA Cardiac Arrhythmia Center and the UCLA Neurocardiology Research Program of Excellence.

Publication Profile

scholar

Education

B.A. in Biology (1975) from Colorado College.Ph.D. in Physiology (1980) from the University of Washington.

Professional Experience

Professor-in-Residence at UCLA since 2014, where they co-direct the UCLA Cardiac Arrhythmia Center and have held significant roles in the UCLA Neurocardiology Research Program.Held various academic and research positions at universities including East Tennessee State University, University of South Alabama, and Loyola University Chicago.

Research & Teaching Contributions

Directed and contributed to numerous physiology and pharmacology courses.Served on various NIH, AHA, and international research grant review panels.

Honors & Awards

Fellowships from the American Heart Association and the American Physiological Society.NIH Young Investigator and multiple American Heart Association leadership roles.

Publication  Top Notes

 

Role of Bradykinin in Protection of Ischemic Preconditioning in Rabbit Hearts (Goto et al., 1995):
This study investigates the role of bradykinin in ischemic preconditioning, which is a protective mechanism of the heart against ischemic injury. It demonstrates that bradykinin, acting through specific receptors, contributes to the protective effects during ischemic episodes in rabbit hearts.

Citations: 702

Cardiac Innervation and Sudden Cardiac Death (Fukuda et al., 2015):
The paper explores the relationship between cardiac innervation, particularly the autonomic nervous system, and sudden cardiac death. It highlights the crucial role that neural regulation plays in the vulnerability of the heart to lethal arrhythmias.

Citations: 419

Autonomic Regulation Therapy via Cervical Vagus Nerve Stimulation in Chronic Heart Failure (ANTHEM-HF trial) (Premchand et al., 2014):
This clinical trial evaluates the effects of vagus nerve stimulation on patients with chronic heart failure, showing improvement in heart function and reduced symptoms, supporting vagal stimulation as a therapeutic avenue for heart failure.

Citations: 401

Selective Vagal Innervation of Sinoatrial and Atrioventricular Nodes in Canine Heart (Ardell & Randall, 1986):
This study reveals how the vagus nerve selectively influences the sinoatrial and atrioventricular nodes, crucial for heart rhythm regulation in dogs. It provides foundational insights into autonomic control of cardiac function.

Citations: 350

Gross and Microscopic Anatomy of the Canine Intrinsic Cardiac Nervous System (Yuan et al., 1994):
This anatomical study maps out the structure of the canine intrinsic cardiac nervous system, which plays a key role in modulating heart function, contributing to a better understanding of neurocardiology.

Citations: 282

Modulation of Intrinsic Cardiac Neurons by Spinal Cord Stimulation (Foreman et al., 2000):
The research examines how spinal cord stimulation affects intrinsic cardiac neurons, suggesting therapeutic implications for treating angina pectoris through neural modulation.

Citations: 247

Conclusion

Given their extensive experience, leadership in significant research initiatives, commitment to education, and contributions to the scientific community, this individual exemplifies the qualities sought for the “Best Researcher Award.” Their dedication to mentoring and ethical research practices aligns with the values of the award, making them a deserving candidate. Continued efforts in public engagement and interdisciplinary collaboration could further enhance their impact and recognition in the field.

Assoc Prof Dr. Xinyu Liu | Brain Computer Interface | Best Researcher Award

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Dr.  Huanghuai University, china

Dr. Xinyu Liu, Assistant Dean of the School of Intelligent Manufacturing at Huanghuai University, holds a B.S. in Automation from Henan University and an M.S. and Ph.D. in Control Science and Engineering from Zhengzhou University. Since joining Huanghuai University in 2017, he has made significant contributions to neural mechanism analysis, brain-computer interface technology, and animal robotics. Dr. Liu has led numerous high-impact research projects, including the Henan University Science and Technology Innovation Talent Project and National Natural Science Foundation of China Youth Foundation. His work focuses on spatial navigation, cognitive mapping, and smart home technologies for disabled patients, with a strong emphasis on interdisciplinary innovation.

Professional Profiles:

Orcid

🎓 Academic and Professional Background

Xinyu Liu received his B.S. degree in Automation from Henan University, Kaifeng, China, in 2009. He earned his M.S. degree in Detection Technology and Automation Instruments and his Ph.D. in Control Science and Engineering from Zhengzhou University, Zhengzhou, China, in 2012 and 2017, respectively. In 2017, he joined Huanghuai University, where he currently serves as an Associate Professor in the School of Intelligent Manufacturing.

🚀 Research and Innovations

Completed/Ongoing Research Projects:Henan University Science and Technology Innovation Talent Project: Spatial Navigation Neural Mechanism Analysis, Modeling and Application (24HASTIT041), 2024.01-2026.12, 300,000 RMB (Project Leader)Training Program for Young Backbone Teachers in Colleges and Universities of Henan Province: Research on Key Technologies of Animal Robots (2023JGGJS156), 2024.01-2026.12, 30,000 RMB (Project Leader)Youth Foundation of National Natural Science Foundation of China: Information Encoding Mechanism of Pigeon Hippocampus Cognitive Map for Navigation Targets (62003146), 2021.01-2023.12, 240,000 RMB (Project Leader)Key Research and Development Project of Henan Province: Research and Development and Industrialization of Key Technology for Sports Rehabilitation of Brain Computer Interface Nerve Injury
(241111211600), 2024.01-2026.12, 1.1 million RMB (Project Leader)

 

Evaluation of Dr. Liu Xinyu for the Best Researcher Award

Strengths:

  1. Diverse Research Portfolio: Dr. Liu Xinyu has demonstrated an impressive range of research interests, focusing on cutting-edge areas such as brain-computer interfaces, spatial navigation, and robotics. His work spans from the fundamental analysis of neural mechanisms to practical applications in brain-controlled systems and smart home technologies for disabled patients.
  2. Leadership in Research Projects: Dr. Liu has successfully led numerous high-impact research projects, securing substantial funding from prestigious institutions like the National Natural Science Foundation of China and the Henan Provincial Key Laboratory. His ability to attract and manage large-scale projects reflects his leadership, project management skills, and recognition in his field.
  3. Contributions to Neurotechnology: His work on brain-computer interfaces and neurotechnology, especially in the context of rehabilitation and assistive devices, is particularly noteworthy. The focus on translating research into practical applications for disabled patients highlights his commitment to socially impactful research.
  4. Academic Excellence: With advanced degrees in automation, detection technology, and control science, Dr. Liu has a solid academic foundation that supports his innovative research. His position as the Assistant Dean at Huanghuai University underscores his standing in the academic community.
  5. Prolific Publishing and Innovation: Dr. Liu’s consistent output in research and innovation, including projects like the development of mind-ALS brain-controlled systems and bionic navigation technology, showcases his ability to blend theoretical knowledge with technological innovation.

Areas for Improvement:

  1. Broader International Collaboration: While Dr. Liu has achieved significant success within China, expanding his collaborations with international researchers and institutions could enhance the global impact of his work. This might also lead to a more diversified perspective and innovative approaches.
  2. Increased Publication in High-Impact Journals: While leading many projects, increasing the number of publications in top-tier, high-impact international journals could further elevate his academic profile and enhance the visibility of his research.
  3. Focus on Interdisciplinary Research: Dr. Liu could benefit from engaging in more interdisciplinary research that combines his expertise in neurotechnology with other emerging fields such as artificial intelligence and machine learning. This could open up new avenues for innovation and practical applications.

 

✍️Publications Top Note :

Development of Digital Stereotaxic Instrument for Pigeons (Columba Livia)

Journal: Journal of Bionic Engineering

Publication Date: July 2022

DOI: 10.1007/s42235-022-00194-0

Contributors: Xinyu Liu, Yanna Ping, Dongyun Wang, Hang Xie, Li Shi

Adaptive Common Average Reference for In Vivo Multichannel Local Field Potentials

Journal: Biomedical Engineering Letters

Publication Date: 2017

DOI: 10.1007/s13534-016-0004-1

Response Properties of Place Cells in the Hippocampus of Freely Moving Pigeons

Journal: Scientia Sinica Vitae

Publication Date: 2017

Contributors: Xinyu Liu, Hong Wan, Xuemei Chen, Zhigang Shang, Li Shi, Shan Li, Yan Chen, Jiejie Nie

The Role of Nidopallium Caudolaterale in the Goal-Directed Behavior of Pigeons

Journal: Behavioural Brain Research

Publication Date: March 2017

DOI: 10.1016/j.bbr.2017.02.042

 

Decoding Movement Trajectory of Hippocampal Place Cells by Particle Filter

Journal: Progress in Biochemistry and Biophysics

Publication Date: 2016

DOI: 10.16476/j.pibb.2016.0082

Conclusion:

Dr. Liu Xinyu is a highly accomplished researcher whose work in brain-computer interfaces, neurotechnology, and automation stands out as both innovative and impactful. His leadership in numerous high-profile research projects and his role as an Assistant Dean at Huanghuai University further attest to his capabilities and contributions to the field. To reach even greater heights, Dr. Liu could focus on expanding his international collaborations, increasing his presence in high-impact journals, and embracing more interdisciplinary approaches. Given his achievements and potential for future contributions, Dr. Liu Xinyu is a strong candidate for the Best Researcher Award.

Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

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Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

Prof. Sanghun Jeon, Korea Advanced Institute of Science and Technology, South Korea

Prof. Sanghun Jeon is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

Education 🎓

Gwangju Institute of Science and Technology (GIST)
Ph.D. degree in Electronic Materials Program (with Best Paper Award Honors), Feb. 2003
Dissertation Title: Studies of the electrical and physical characteristics of ultrathin high k gate dielectrics for metal-oxide-semiconductor (MOS) device applications

Experience 🧑‍🔬

KAIST (Google Scholar: In total, 12081 citations, h-index 53. Since 2019, 6343 citations, h-index 38)
Feb. 2018 – Present
Tenured Full Professor, School of Electrical EngineeringLaunched research efforts in AI semiconductors using functional ferroelectric materials and devices, IoT sensors, and stretchable displays.KOREA University (with Seoktap Research Awards)
Mar. 2013 – Feb. 2018
Associate Professor, Department of Applied PhysicsLaunched research efforts in wearable sensors, multimodal sensors, hafnia ferroelectric 1T DRAM, and hafnia ferroelectric tunnel junctions for logic-in-memory device applications.SAMSUNG ELECTRONICS and SAMSUNG Advanced Institute of Technology
Mar. 2003 – Feb. 2013
Senior and Principal Research Staff MemberPerformed research on oxide thin-film transistors for CMOS image sensors, displays, photo-sensors, and high-power devices.Process and device engineer for graphene, 3D transistors, and hybrid semiconductor devices.Developed the world’s first 32Gb NAND Flash Technology (4X nm generation, 2006) and 8Gb & 16Gb NAND Flash Technology (6Xnm generation, 2005) using charge trap flash memory devices.

Research Interests 🔍

NAND Flash with Ferroelectric MaterialsHybrid NAND Flash with Negative Capacitance Ferroelectric MaterialsHigh Dielectric Constant Morphotropic Phase Materials for DRAM CapacitorsHfO2 1T DRAM Nonvolatile Logic Device for Deep Learning ApplicationsComputing-in-Memory Hardware: 3-Terminal Device and Architecture for Deep Neural NetworksFerroelectric Tunnel JunctionsTextile Sensors for Wearable/Flexible ElectronicsAI-Inspired Tactile Sensing Applications with Machine Learning Algorithms

Academic Contribution 📚

IEEE Senior MemberVice Chair of Advanced and Emerging Memories / New Applications in International Conference on Solid State Device and Materials (SSDM) (2015 – Present)Associate Editor of Springer Nanoconvergence (2018 – Present)Associate Editor of IEEE/OSA Journal of Display Technology (2013 – 2016)Organizing Committee and Track Chair of IEEE FLEPS (2021 – Present)Public Chair of IEEE FLEPS (2022)Focused Session Chair of IEEE FLEPS (2023 – 2024)Editorial Board Member of Nature Publication Group Scientific Reports (2015 – Present)Editorial Board Member of IEEE Journal on Flexible Electronics (2022 – Present)

Awards 🏆

Springer Nano Convergence Contribution Award (2022)KAIST Best Lecturer Award (2022)SK Hynix IDEA Silver Award (2019)KOREA University SEOKTAP Research Award (2018)Samsung Future Technology Foundation Research Grant (2017)IAAM Young Scientist Award Medal (2016)IMID Best Paper Award (2016)Samsung Paper Champion Award (2013)Samsung Advanced Institute of Technology Innovation Award (2012)Samsung Best Paper Award (2011)Samsung Group Grand Award (2006)Young Researcher Award (2002)

📖 Publications Top Note :

Highly Stretchable Resistive Pressure Sensors Using a Conductive Elastomeric Composite on a Micropyramid Array

CL Choong, MB Shim, BS Lee, S Jeon, DS Ko, TH Kang, J Bae, SH Lee, …
Journal: Advanced Materials
Citations: 1221
Year: 2014

Highly Stretchable Electric Circuits from a Composite Material of Silver Nanoparticles and Elastomeric Fibres

M Park, J Im, M Shin, Y Min, J Park, H Cho, S Park, MB Shim, S Jeon, …
Journal: Nature Nanotechnology
Citations: 943
Year: 2012

High Performance Amorphous Oxide Thin Film Transistors with Self-Aligned Top-Gate Structure

JC Park, SW Kim, SI Kim, H Yin, JH Hur, SH Jeon, SH Park, IH Song, …
Journal: IEEE International Electron Devices Meeting (IEDM)
Citations: 623
Year: 2009

Gated Three-Terminal Device Architecture to Eliminate Persistent Photoconductivity in Oxide Semiconductor Photosensor Arrays

S Jeon, SE Ahn, I Song, CJ Kim, UI Chung, E Lee, I Yoo, A Nathan, S Lee, …
Journal: Nature Materials
Citations: 480
Year: 2012

A Flexible Bimodal Sensor Array for Simultaneous Sensing of Pressure and Temperature

NT Tien, S Jeon, DI Kim, TQ Trung, M Jang, BU Hwang, KE Byun, J Bae, …
Journal: Advanced Materials
Citations: 436
Year: 2014

Trap-Limited and Percolation Conduction Mechanisms in Amorphous Oxide Semiconductor Thin Film Transistors

S Lee, K Ghaffarzadeh, A Nathan, J Robertson, S Jeon, C Kim, IH Song, …
Journal: Applied Physics Letters
Citations: 306
Year: 2011

HfZrOx-Based Ferroelectric Synapse Device with 32 Levels of Conductance States for Neuromorphic Applications

S Oh, T Kim, M Kwak, J Song, J Woo, S Jeon, IK Yoo, H Hwang
Journal: IEEE Electron Device Letters
Citations: 246
Year: 2017

Effect of Hygroscopic Nature on the Electrical Characteristics of Lanthanide Oxides

S Jeon, H Hwang
Journal: Journal of Applied Physics
Citations: 190
Year: 2003

Metal Oxide Thin Film Phototransistor for Remote Touch Interactive Displays

SE Ahn, I Song, S Jeon, YW Jeon, Y Kim, C Kim, B Ryu, JH Lee, A Nathan, …
Journal: Advanced Materials
Citations: 166
Year: 2012

Amorphous Oxide Semiconductor TFTs for Displays and Imaging

A Nathan, S Lee, S Jeon, J Robertson
Journal: Journal of Display Technology
Citations: 165
Year: 2014

Hot Carrier Trapping Induced Negative Photoconductance in InAs Nanowires Toward Novel Nonvolatile Memory

Y Yang, X Peng, HS Kim, T Kim, S Jeon, HK Kang, W Choi, J Song, …
Journal: Nano Letters
Citations: 164
Year: 2015

Persistent Photoconductivity in Hf–In–Zn–O Thin Film Transistors

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 162
Year: 2010

The Effect of the Bottom Electrode on Ferroelectric Tunnel Junctions Based on CMOS-Compatible HfO2

Y Goh, S Jeon
Journal: Nanotechnology
Citations: 152
Year: 2018

Instability in Threshold Voltage and Subthreshold Behavior in Hf–In–Zn–O Thin Film Transistors Induced by Bias-and Light-Stress

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 133
Year: 2010

Oxygen Vacancy Control as a Strategy to Achieve Highly Reliable Hafnia Ferroelectrics Using Oxide Electrode

Y Goh, SH Cho, SHK Park, S Jeon
Journal: Nanoscale
Citations: 123
Year: 2020

Non-Volatile Semiconductor Memory Device with Alternative Metal Gate Material

SH Jeon, J Han, C Kim
Journal: US Patent 7,391,075
Citations: 122
Year: 2008

Electrical Characteristics of Prepared by Annealing of

S Jeon, CJ Choi, TY Seong, H Hwang
Journal: Applied Physics Letters
Citations: 119
Year: 2001

180nm Gate Length Amorphous InGaZnO Thin Film Transistor for High Density Image Sensor Applications

S Jeon, S Park, I Song, JH Hur, J Park, S Kim, S Kim, H Yin, E Lee, S Ahn, …
Journal: International Electron Devices Meeting
Citations: 116
Year: 2010

Transparent Semiconducting Oxide Technology for Touch Free Interactive Flexible Displays

S Lee, S Jeon, R Chaji, A Nathan
Journal: Proceedings of the IEEE
Citations: 114
Year: 2015

Excellent Electrical Characteristics of Lanthanide (Pr, Nd, Sm, Gd, and Dy) Oxide and Lanthanide-Doped Oxide for MOS Gate Dielectric Applications

S Jeon, K Im, H Yang, H Lee, H Sim, S Choi, T Jang, H Hwang
Journal: International Electron Devices Meeting
Citations: 114
Year: 2001