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

Posted on by ScienceFather

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

EducationšŸŽ“

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

ExperiencešŸ–ŠļøĀ 

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 HonorsšŸ†

Most Cited Chinese Researchers – Featured in Elsevierā€™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%Ā  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 FocusšŸŒ

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

PublicationĀ  Top Notes

  • ē²—ē³™é›†ē†č®ŗäøŽę–¹ę³• (Rough Set Theory and Methods)
    Authors: å¼ ę–‡äæ®, 吓伟åæ—, ę¢å‰äøš, ęŽå¾·ēŽ‰
    Publisher: ē§‘å­¦å‡ŗē‰ˆē¤¾ (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 Dempsterā€“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.

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

Posted on by ScienceFather
Dr.Ā  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

šŸŽ“ 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.

šŸš€ 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. Liuā€™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.

 

āœļø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.

Durga Ghosh | energy | Best Researcher Award

Posted on by ScienceFather

Dr. Durga Ghosh | energy | Best Researcher Award

Dr. North Carolina State University, United States

Durga Prasad Ghosh is a postdoctoral scholar specializing in mechanical engineering, currently at North Carolina State University. He holds a Ph.D. from the Indian Institute of Technology, Patna, and an M.Tech. in Thermal Engineering from Kalinga Institute of Industrial Technology. Ghosh has extensive research experience, having worked on projects related to thermal energy storage, water desalination, and evaporator design. He has taught courses at Oregon State University and Gandhi Institute of Excellent Technocrats. His notable achievements include securing research funding, publishing in peer-reviewed journals, and being a semi-finalist in the American-Made Geothermal Lithium Extraction Prize.

 

Professional Profiles:

Scopus

EducationšŸŽ“

Ph.D., Mechanical Engineering
Indian Institute of Technology, Patna, India
June 2015 ā€“ October 2019CGPA: 8.25/10šŸŽ“ M.Tech., Thermal Engineering
Kalinga Institute of Industrial Technology, India
June 2012 ā€“ June 2014CGPA: 9.15/10 (Highest in the department)šŸŽ“ B.Tech., Mechanical Engineering
Gandhi Institute of Engineering Technology, India
August 2007 ā€“ July 2011CGPA: 7.42/10

Awards and Achievements šŸ†

2021: Selected as one of the semifinalists in “The American-Made Geothermal Lithium Extraction Prize” and gained funding of $40,000. 018: Secured 1st position in ā€œMy Research in Three Minutesā€ competition on 7th Research Scholarā€™s Day, IIT Patna, 2018. 2014: Received Vice Chancellor Silver Medal for securing the highest mark in Thermal Engineering during M.Tech. 2004: Won a GOLD medal at All Orissa Geography Talent Test, 2004.
2003: Secured an All India rank of 323 in the 3rd National Science Olympiad, 2003.

Leadership and ServicešŸ”§

2019 – 2023: Led a team of Postdocs, graduate, and undergraduate students across four universities to successfully complete a multi-million dollar DOE project. šŸ”§ 2019: Volunteered in organizing the 8th Research Scholarā€™s Day, IIT Patna, 2019. 2017: Volunteered in organizing the 6th Research Scholarā€™s Day, IIT Patna, 2017. 2013: Volunteered in organizing the 1st KIIT International Symposium on Advances in Automotive Technology (KIIT SAAT), 2013. Ā 2008 – 2009: Served as an Office Bearer of the Mechanical Engineering Student Association (MESA), GIET, Gunupur, India.

Professional Experience

šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
North Carolina State University, Raleigh, NC, USA
April 2023 ā€“ PresentLeading the design, fabrication, and experimentation of nature-inspired variable capacity evaporators for low Global Warming Potential (GWP) refrigerants.Enhancing condensation via optimized gradient wick structures.šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
University of Michigan, Ann Arbor, MI, USA
April 2023 ā€“ April 2024Led projects on thermal energy storage, supervising 2 graduates and 3 undergraduates.Studied hydration kinetics of salt hydrates in a through-flow reactor for thermochemical energy storage.Analyzed data to establish trade-offs between specific power and specific energy.Utilized CAD software SolidWorks for 3D modeling and performed thermal simulation using COMSOL.šŸ› ļø Instructor of Record, Energy System Engineering
Oregon State University, Bend, OR, USA
January 2023 ā€“ March 2023Taught Heat Transfer (ME332) for the winter term.Developed course content and conducted review sessions.Managed course materials and assignments on CANVAS.šŸ› ļø Postdoctoral Scholar, Mechanical Engineering
Oregon State University, Bend, OR, USA
December 2019 ā€“ April 2023Led a team working on a novel Zero Liquid Discharge (ZLD) humidification-dehumidification water desalination system.Managed contractual milestones for multimillion-dollar US DOE awards.Conducted independent research and supervised PhD, graduate, and undergraduate students.šŸ› ļø Project Fellow, Mechanical Engineering
Indian Institute of Technology, Patna, India
December 2014 ā€“ October 2019Designed and fabricated experimental setups for flow boiling in nanostructured microchannels.Performed Fast Fourier Transform Analysis in MATLAB.šŸ› ļø Assistant Professor, Mechanical Engineering
Gandhi Institute of Excellent Technocrats, Bhubaneswar, India
July 2014 ā€“ November 2014Taught undergraduate courses on Basic Thermodynamics and Heat Transfer.Developed course content and conducted review sessions.

āœļøPublications Top Note :

Abstract: Anti-fouling Rotating Polymer-Based Heat Exchanger for Zero Liquid Discharge Humidification-Dehumidification Desalination

Authors: Ghosh, D.P., Hassan, M., Dennis, S.J., Elhashimi-Khalifa, M.A., Abbasi, B. Journal: Water Research, 2024, 258, 121749

Fouling Mechanism in Airblast Atomizers and Its Suppression for Water Desalination

Authors: Sharma, D., Ghosh, D.P., Dennis, S.J., Abbasi, B.

Journal: Water Research, 2022, 221, 118726

Development of an Anti-Clogging Perforated Plate Atomizer for a Zero Liquid Discharge Humidification-Dehumidification Desalination System

Authors: Sharma, D., Ghosh, D.P., Rote, J.N., Zhang, X., Abbasi, B.

Journal: Desalination, 2021, 515, 115195

Mitigation of Transient Fluctuations During Flow Boiling in Microchannels via Adaptive Vapor Venting

Authors: Ghosh, D.P., Sharma, D., Abbasi, B.

Journal: IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021, 11(10), pp. 1645ā€“1654

An Ingenious Fluidic Capacitor for Complete Suppression of Thermal Fluctuations in Two-Phase Microchannel Heat Sinks

Authors: Ghosh, D.P., Sharma, D., Kumar, A., Saha, S.K., Raj, R.

Journal: International Communications in Heat and Mass Transfer, 2020, 110, 104347

Facile Fabrication of Nanostructured Microchannels for Flow Boiling Heat Transfer Enhancement

Authors: Ghosh, D.P., Sharma, D., Mohanty, D., Saha, S.K., Raj, R.

Journal: Heat Transfer Engineering, 2019, 40(7), pp. 537ā€“548

Thermohydraulic Characterization of Flow Boiling in a Nanostructured Microchannel Heat Sink with Vapor Venting Manifold

Authors: Sharma, D., Ghosh, D.P., Saha, S.K., Raj, R.

Journal: International Journal of Heat and Mass Transfer, 2019, 130, pp. 1249ā€“1259

Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Posted on by ScienceFather

Mr. Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Mr. Aalto University, Finland

Mohammadjavad Shabanpoursheshpoli is a dedicated Marie Curie Early-stage researcher and PhD candidate specializing in applied electromagnetics and telecommunications, with a focus on Reconfigurable Intelligent Surfaces (RIS) for 5G and 6G wireless networks. He has published over 10 journal papers and received several prestigious awards, including the 2023 Nokia Foundation scholarship for outstanding research in RIS-based 6G networks. He was an invited speaker at Metamaterials 2023 and named the best-performing research fellow of the Meta wireless project in 2022. He holds a PhD from Aalto University and has earned full scholarships and top academic rankings throughout his education.

 

Professional Profiles:

Google scholar

šŸŽ“ Education

Ph.D.Aalto University, Espoo, Finland5/5 (passed all 40 credits)M.Sc.Iran University of Science & Technology, Tehran, Iran16.65/20B.Sc.Babol Noshirvani University of Technology, Babol, Iran

šŸ“œ Honours & Awards

šŸŽ“ Motivated and Accomplished Researcher

Marie Curie Early-Stage Researcher (PhD candidate) specializing in applied electromagnetics and telecommunication, focusing on Reconfigurable Intelligent Surfaces for 5G and 6G wireless networks.

Committed to advancing telecommunication technology through a combination of rigorous theory and practical expertise, resulting in 10+ published journal papers recognized within the academic community.

šŸ… 2023 Nokia Foundation Scholarship

Recognized for outstanding research contributions in the field of RIS-based 6G wireless networks.

šŸŽ¤ Invited Speaker

Accepted as an invited speaker for the 17th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2023) in Greece.

šŸŒŸ Best-Performing Research Fellow

Selected as the “2022 best-performing research fellow of the Meta Wireless Project” in Gaeta, Italy (14 Nov. 2022).

šŸŽ“ Full Scholarships

Received a full scholarship from H2020 Marie Skłodowska-Curie Innovative Training Networks (ITNs) under grant agreement NO 956256.

Awarded a full scholarship from Noshirvani Institute of Technology & Iran University of Science and Technology (tuition waiver).

šŸ“š Top-Cited Paper

Awarded a top-cited paper 2020-2021 in Annalen der Physik by Wiley.

šŸ“ˆ Academic Achievements

Ranked 3rd GPA among the graduating class in the master’s program at Iran University of Science and Technology.Ranked within the top 0.05% in the Iranian university entrance exam for a masterā€™s degree in electrical engineering (2016).Ranked within the top 0.1% in the Iranian university entrance exam for a bachelor’s degree (2012).

āœļøPublications Top Note :

“Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering”

(Scientific Reports, 2020) – Cited 103 times.

“Deep neural network-based automatic metasurface design with a wide frequency range”

(Scientific Reports, 2021) – Cited 72 times.

“Asymmetric spatial power dividers using phaseā€“amplitude metasurfaces driven by Huygens principle”

(ACS Omega, 2019) – Cited 66 times.

“Programmable anisotropic digital metasurface for independent manipulation of dual-polarized THz waves based on a voltage-controlled phase transition of VOā‚‚ microwires”

(Journal of Materials Chemistry C, 2020) – Cited 63 times.

“Reconfigurable honeycomb metamaterial absorber having incident angular stability”

(Scientific Reports, 2020) – Cited 44 times.

“A deep learning approach for inverse design of the metasurface for dual-polarized waves”

(Applied Physics A, 2021) – Cited 36 times.

“Real-time multi-functional near-infrared wave manipulation with a 3-bit liquid crystal-based coding metasurface”

(Optics Express, 2021) – Cited 30 times.

“Full Manipulation of the Power Intensity Pattern in a Large Space-Time Digital Metasurface: From Arbitrary Multibeam Generation to Harmonic Beam Steering Scheme”

(Annalen der Physik, 2020) – Cited 23 times.

“Implementation of conformal digital metasurfaces for THz polarimetric sensing”

(OSA Continuum, 2021) – Cited 22 times.

“Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor”

(Journal of Physics D: Applied Physics, 2020) – Cited 18 times.