Zhiyi Liu | Embodied Intelligence | Best Researcher Award

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Dr. Zhiyi Liu | Embodied Intelligence | Best Researcher Award

Chief Scientist at Eastmoney AI Research Institute, China

The individual is a distinguished AI scientist with a vast background in multimodal AI, data integration, and financial technology. 📊 They have contributed significantly to AI applications across various industries, including search engines, digital healthcare, and financial markets. 🌐 Holding senior positions at prominent companies such as Baidu, SenseTime, and East Money Group, they have driven innovation in AI algorithms and system architecture. 💻 Their leadership in AI governance and multimodal model development has solidified their role as a key player in the AI landscape. 🤖 Additionally, their collaboration with academic and industry leaders, including Professor Andrew Ng, has furthered the integration of cutting-edge AI into real-world applications.

Publication Profile

scholar

Education 🎓

They are pursuing an IMBA at the University of Hong Kong Business School (2024-2026).  They completed their Doctorate in Intelligent Manufacturing at ISTEC Paris (2021-2024).  Their undergraduate education is in Computer Science and Technology from Beijing University of Posts and Telecommunications (2007-2011).  Throughout their academic career, they have focused on merging technical expertise with strategic innovation, especially in fields related to AI, intelligent manufacturing, and business. Their education has laid a solid foundation for their work, combining both advanced technical skills and a keen understanding of the business implications of AI technologies.

Experience 🔧

Currently, they are the Principal Scientist & Executive Dean at East Money Group, leading intelligent financial risk assessment models.  Prior to this, they co-founded and served as an AI scientist at SenseTime (2019-2022), where they led multimodal data fusion projects.  At Baidu (2011-2018), they spearheaded the integration of AI into search technologies and collaborated with top AI experts, including Andrew Ng. 🤝 They have also contributed to the development of multimodal AI models at the Chinese Academy of Sciences (2018-2019). Their diverse experience encompasses AI applications in finance, healthcare, and autonomous systems.

Awards and Honors 🏆 

At the international level, they are a member of the technical committee for the IEEE CCAI 2024 conference and a technical expert for the IEC/SMB/SEG12 Bio-digital Convergence System Evaluation Team.  Nationally, they are a member of the AI Ethics Working Committee of the Chinese Association for Artificial Intelligence and an expert on Chinese AI standards. 🇨🇳 They are a distinguished fellow at Shanghai Jiaotong University’s AI and Marketing Research Center and serve as the Executive Director of the Research Center for Computational Law and AI Ethics. 🏅 Their accolades reflect their contributions to AI ethics, governance, and research.

Research Focus  🔬

Their research centers on multimodal AI, integrating data streams from text, images, speech, and video to enhance AI’s cognitive abilities. 🧠 They have made significant advancements in natural language processing (NLP), computer vision, and deep learning.  Their work also addresses AI governance, ensuring transparency, fairness, and compliance in AI systems.  They focus on practical applications in digital healthcare, where multimodal data fusion has improved diagnostic accuracy and patient care.  Additionally, they have applied AI innovations to financial markets, optimizing decision-making through advanced algorithms and risk assessment models.

Conclusion

This candidate demonstrates exceptional qualifications for the Best Researcher Award, thanks to their pioneering work in embodied intelligence, multimodal AI models, and cross-sector applications. Their leadership in AI innovation, coupled with their significant academic influence and contributions to AI ethics, makes them a standout nominee. By leveraging further commercial application and broadening international collaborations, they can continue to push the boundaries of AI research, solidifying their position as a leading researcher in the global AI community.

Publication  Top Notes

Development Paradigm of Artificial Intelligence in China from the Perspective of Digital Economics 📊: Z Liu, Y Zheng explore the AI development in China’s digital economy. (Journal of Chinese Economic and Business Studies, 2022)

Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies 💹: Z Liu, K Zhang, D Miao discuss the role of AI in enhancing trading efficiency. (International Conference on Intelligence Science, 2024)

Research on Intelligent Computing and Trustworthy Machine Learning in Financial Complex Systems 🤖: Z Liu, K Zhang, Y Zheng, S Xu, J Qu investigate AI applications in financial systems. (2024 International Conference on Data-Driven Optimization)

Application Methods of Large Language Model Interpretability in FinTech Scenarios 💼: Z Liu, K Zhang, Y Zheng, Z Sun study LLM interpretability in financial technology. (2024 International Conference on Computer Communication and Artificial Intelligence)

Application of Visualization Methods in Neural Network Training Processes 👁️: Z Liu, K Zhang, Y Zheng, L Zheng examine neural network training visualization techniques. (2024 International Symposium on AI)

A New Era of Financial Services: How AI Enhances Investment Efficiency 💼📈: Z Liu, K Zhang, H Zhang explore AI’s role in improving investment practices. (International Studies of Economics, 2024)

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.

Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

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Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

Mr. Bingtao Wang, Shan Dong University, China

Bingtao Wang, currently a Master’s student in Communication Engineering at Shandong University (Weihai), holds a Bachelor’s degree in Electronic Engineering. His research focuses on energy consumption models and fault diagnosis in mobile robots. Bingtao has led multiple innovative projects, including the development of a quadcopter UAV and a visual perception crawler robot. His significant contribution lies in the creation of robust energy models and diagnostic methods that enhance the efficiency and reliability of Three-Wheeled Omnidirectional Mobile Robots (TOMRs), paving the way for future advancements in autonomous navigation and robotics.

Professional Profiles:

Orcid

🎓 Academic and Professional Background (100 words max):

Bingtao Wang, male, was born in Liaocheng City, Shandong Province in September 2001. In 2023, he graduated from Shandong University (Weihai) with a Bachelor’s degree in Electronic Engineering. He is currently pursuing a Master’s in Communication Engineering at Shandong University (Weihai), College of Electrical and Engineering. His research focuses on energy consumption model building and fault diagnosis.

📝 Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

✍️Publications Top Note :

Fault Detection and Diagnosis of Three-Wheeled Omnidirectional Mobile Robot Based on Power Consumption Modeling

Assoc Prof Dr. Moein Taheri | Nanorobotics | Best Researcher Award

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Assoc Prof Dr. Moein Taheri | Nanorobotics | Best Researcher Award

Assoc Prof Dr. Moein Taheri, Arak University, Iran

Assoc Prof Dr. Moein Taheri 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 

Orcid

Employment Details 🏢

Organization: Arak University Location: Arak, Markazi, IR Position: Associate Professor (Mechanical Engineering) Duration: January 1, 2016 – Present

Education and Qualifications 🎓

Institution: Arak University Location: Arak, Markazi, IR Qualification: Associate Professor (Mechanical Engineering)

Professional Activities 🛠️

Organization: Arak University Location: Arak, Markazi, IR Duration: January 1, 2016 – Present Position: Associate Professor (Mechanical Engineering)

📖 Publications Top Note :

A novel layer-by-layer heterogeneous cation exchange membrane for heavy metal ions removal from water

Journal: Journal of hazardous materials

Year: 2020

Citations: 141

Modeling of various contact theories for the manipulation of different biological micro/nanoparticles based on AFM

Journal: Journal of nanoparticle research

Year: 2014

Citations: 58

Modeling of contact theories for the manipulation of biological micro/nanoparticles in the form of circular crowned rollers based on the atomic force microscope

Journal: Journal of Applied Physics

Year: 2013

Citations: 41

Sensitivity analysis of nanoparticles manipulation based on different friction models

Journal: Applied surface science

Year: 2012

Citations: 40

Sensitivity analysis of nano-contact mechanics models in manipulation of biological cell

Journal: Nanoscience and Nanotechnology

Year: 2012

Citations: 40

Application of Johnson–Kendall–Roberts model in nanomanipulation of biological cell: air and liquid environment

Journal: Micro & Nano letters

Year: 2012

Citations: 36

Three-dimensional modeling and simulation of the AFM-based manipulation of spherical biological micro/nanoparticles with the consideration of contact mechanics theories

Journal: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of …

Dynamic modeling and simulation of rough cylindrical micro/nanoparticle manipulation with atomic force microscopy

Journal: Microscopy and Microanalysis

Year: 2014

Citations: 25

Simulation of soft bacteria contact to be applied in nanomanipulation

Journal: Modares Mechanical Engineering

Year: 2015

Citations: 20

Second Phase of Nanomanipulation of Particles by Atomic Force Microscopy Using Coulomb, HK, and LuGre Friction Models

Journal: Modares Mechanical Engineering

Year: 2019

Citations: 19

Dr. Masih Paknejad | precision machining Award | Best Researcher Award

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Dr. Masih Paknejad | precision machining Award | Best Researcher Award

Dr. Masih Paknejad, KSF (Kompetenzzentrum für Spanende Fertigung), Germany

Dr. Masih Paknejad 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:

Orcid

Google scholar

Work Experience 🛠️

Institute of Advanced Machining (KSF), GermanyTeam Leader, Postdoctoral Research Fellow2023 – PresentMachine Tools Committee ISO/ISIRI TC 39, IranSenior Member, Chief and Technical Editor of Machine Tools Standards2022 – PresentTurbine Engineering and Manufacturing Co. (TUGA), IranExpert Engineer (R&D Department)2019 – 2021Persian Ultrasonic Co., IranCEO, Design and Manufacture of High Power Ultrasonic Transducer2019 – PresentHitec-Machinery Trading Co., IranTechnical Advisor, Supervisor of Test and Calibration of Machine Tools2017 – 2019Semnan University, IranLecturer2018 – 2019Courses: Materials Science and Engineering, Metrology Lab., Machine Tools Workshop, Engineering Drawing, Hydraulics and Hydraulics Lab, Welding WorkshopAmirkabir University of Technology, IranStrength of Material Lab Expert, Metrology Lab Expert, Teacher Assistant2012 – 2018Courses: Nontraditional Manufacturing Processes, Machine Element DesignIslamic Azad University (Saveh Branch), IranLecturer2011 – 2012Courses: Metrology, Production Methods, Nontraditional Manufacturing Processes

Education 🎓

Furtwangen University – KSF Institute
Feb 2022 – Sep 2023Postdoc FellowTitle: Ultras-Short Pulse Laser-Assisted Micro-Grinding of Silicon CeramicsAmirkabir University of TechnologySep 2011 – Nov 2017
Ph.D.Dissertation: Theoretical-Experimental Model of Heat Generation in Ultrasonic Assisted Dry Creep Feed Grinding ProcessFurtwangen University – KSF Institute
Jun 2014– Jan 2015Sabbatical ResearcherAmirkabir University of TechnologySep 2008 – Jul 2011M.Sc.Thesis: Theoretical and Experimental Analysis of Ultrasonic Assisted Indentation Forming of TubeIsfahan University of TechnologySep 2004– Sep 2008B.Sc.Thesis: Design of Centrifugal Chip Lubricant Separator DeviceAwards & Honors 🏆Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of TechnologyComputer Skills 💻Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual

Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

Awards & Honors 🏆

Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of Technology

Computer Skills 💻

Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

📊 Citation Metrics (Google Scholar):

Citations by: All – 87, Since 2019 – 70
h-index: All – 3, Since 2018 – 3
i10 index: All – 3, Since 2018 –3

 

📖 Publications  Top Note :

Investigation of laser-assisted cylindrical grinding of silicon nitride ceramics with controlled damage zone

Journal: Optics & Laser Technology

Date: July 2024

DOI: 10.1016/j.optlastec.2024.110616

Contributors: Esmaeil Ghadiri Zahrani; Masih Paknejad; Ali Zahedi; Bahman Azarhoushang

Laser-assisted surface grinding of innovative superhard SiC-bonded diamond (DSiC) materials

Journal: Ceramics International

Date: February 2024

DOI: 10.1016/j.ceramint.2024.02.323

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Robert Bösinger; Faramarz Hojati

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Journal: The International Journal of Advanced Manufacturing Technology

Date: March 2023

DOI: 10.1007/s00170-022-10793-0

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Date: September 2, 2022

DOI: 10.21203/rs.3.rs-1974605/v1

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Ductile-brittle transition mechanisms in micro-grinding of silicon nitride

Journal: Ceramics International

Date: August 2022

DOI: 10.1016/j.ceramint.2022.08.088

Contributors: Masih Paknejad

Numerical Simulation of Ultrasonic Assisted Indentation Tube Forming

Journal: ADMT Journal

Date: September 2020

DOI: 10.30495/admt.2020.1869462.1124

Contributors: Masih Paknejad

Effects of high power ultrasonic vibration on temperature distribution of workpiece in dry creep feed up grinding

Journal: Ultrasonics Sonochemistry

Date: November 2017

DOI: 10.1016/j.ultsonch.2017.04.029

Contributors: Masih Paknejad

Theoretical and experimental analyses of ultrasonic-assisted indentation forming of tube

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Date: March 2014

DOI: 10.1177/0954405413501502

Contributors: Masih Paknejad

 

 

 

Assist Prof Dr. Onur Denizhan | Robotics | Best Researcher Award

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Assist Prof Dr. Onur Denizhan | Robotics | Best Researcher Award

Assist Prof Dr. Onur Denizhan, Universidad ECCI, Colombia

Assist Prof Dr. Onur Denizhan 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:

Scopus

ORCID

Google scholar

🔍 Research Interests:

Kinematics analysis and synthesis of mechanisms, mechanism design, design optimization, origami-based mechanism design, automotive systems, robotics, haptics, bio-inspired compliant mechanisms, control, mechatronics, applications of artificial intelligence in engineering design.

👨‍🏫 Employment:

Feb. 2024 – Present: Assistant Professor, Department of Mechanical Engineering, Batman University, Batman, TRDec. 2021 – Jan. 2024: Lecturer, Department of Electronics and Automation, Batman University, Batman, TR

🎓 Education:

Aug 2017 – Aug 2021: Ph.D. in Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USSep 2015 – Aug 2017: Ph.D. Student in Mechanical Engineering, Columbia University (Transferred to Lehigh)Jan 2014 – Aug 2015: M.Sc. in Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USSep 2007 – Jun 2011: B.Sc. in Mechanical Engineering, Inonu University, Malatya, TRSep 2023 – Present: B.A. in Economics, Anadolu University, Eskisehir, TR

🏆 Awards and Honors:

2020: Rossin College Graduate Leadership and Service Award, Lehigh University2019 – 2021: Teacher Assistant of the Year Honorable Mentions, Lehigh University2020: Graduate Student Senate Champion, Lehigh University2019 – 2021: Lehigh University Department of Mechanical Engineering and Mechanics Tuition Award

🎓 Scholarships and Grants:

2020: Graduate Student Senate Travel Grant, Lehigh University (ASME IDETC/CIE 2020)2020: Graduate Student Senate Travel Grant, Lehigh University (ASME IMECE 2020)Jan 2012 – Aug 2020: Study Abroad Full Scholarship (for M.Sc. and Ph.D.), Turkish Ministry of EducationJuly 2011: M.Sc. and Ph.D. Full Scholarship (Declined for studying abroad), Turkish Council of Higher EducationJun 2011: Finalist Design Team Award, Systemair-HSK AS Company Project Competition🎙️ Invited Talks:Jan. 2024: Batman University Sustainability Talk Series: “Making AI Work for Us”Dec. 2022: Batman University: “Scholarship Opportunities Abroad”May 2020: Lehigh University Rossin Connection Podcast, Episode 6: “The Journey of Onur Denizhan”

🔬 Research Experience:

Aug 2017 – Aug 2021: Research Assistant, Lehigh University (Mechanism design and optimization projects)Aug 2015 – Aug 2017: Research Assistant, Columbia University (Design and experiment of Spine Brace Project)Jan 2014 – Aug 2015: Research Assistant, Lehigh University (Optimum design of linkage mechanisms project)Nov 2010 – Jun 2011: Undergraduate Research Assistant, Inonu University (Design and implementation of energy-efficient central air conditioning systems)

👨‍🏫 Teaching Experience:

Spring ‘22 – Present: Instructor, Batman University (Various courses including Computer Supported Design, Artificial Neural Networks, Robot Analysis)Fall ’18 – Spring ’21: Department Graduate Assistant, Lehigh University (Courses including Graphics for Engineering Design, Mechanical Engineering Laboratory, Thermodynamics, Computer-Aided Design)Fall ‘16: Grader and Course Assistant, Columbia University (Graduate courses homework and exams grader)

📊 Citation Metrics (Google Scholar):

Citations by: All – 18, Since 2018 – 18
h-index: All – 3, Since 2018 – 3
i10 index: All – 0, Since 2018 –0

📖 Publications  Top Note :

Three-position four-bar linkage mechanism synthesis, static balancing and optimization of automotive engine hood

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paper publication in
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Prof Dr. Claudio Urrea | Robotics | Best Researcher Award | 2751

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Prof Dr. Claudio Urrea | Robotics | Best Researcher Award

Prof Dr. Claudio Urrea,  Universidad de Santiago de, Chile 

Mr. Carlos Domínguez Acosta 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

ORCID

👨‍🎓 Education and Experience

I earned my B.Eng. from Universidad Tecnológica de La Habana, Havana, Cuba, in 2014. Following graduation, I served as a professor at Universidad Tecnológica de La Habana, contributing to the Faults Diagnosis and Parameters Estimation for Industrial Processes research group. Our work, focused on fuzzy logic for faults diagnosis, was presented internationally and published in a reputable journal. Currently pursuing a Ph.D. in Electric Engineering at Universidad de Santiago de Chile since March 2021, my research interests span robotics, automation, process control, artificial intelligence, faults diagnostics, and fault-tolerant control.

🌐 Research and Innovations

I have completed three research projects, with a citation index of 1 in Scopus/Web of Science. My cumulative impact factor for the last three years stands at 20.5. Aiming to bridge gaps in robotics, I’ve developed a novel 4-arm Delta parallel manipulator for the food industry, incorporating intelligent control and fuzzy logic techniques. These contributions form a foundation for future industrial applications and guide the next generation of researchers.

🏆 Achievements

Two journals published in Scopus, Web of Science, and PubMed indexes.Graduated two research scholars.Organized and presented at one conference.Received one award.

🚀 Contribution to R&D and Extension Activities

My research supports robotics development, specifically a 4-arm Delta manipulator for the food industry. Intelligent control and fuzzy logic techniques contribute to a space lacking attention, providing foundations for industrial applications and inspiring future researchers.

📝 Self Declaration

I affirm the accuracy and completeness of the provided information. Any concealment of material information may lead to the termination of my application. I have read and agreed to the terms, conditions, and policies of the International Research Awards.

📊 Citation Metrics (Google Scholar):

Citations by: All – 35, Since 2018 – 30

h-index: All – 1, Since 2018 – 1

i10 index: All – 1, Since 2018 –1

📖 Publications  Top Note :

An approach to multiple fault diagnosis using fuzzy logic

paper publication in

Modeling, design and control of a 4-arm delta parallel manipulator employing type-1 and interval type-2 fuzzy logic-based techniques for precision applications

paper publication in

An approach to multiple fault diagnosis using fuzzy logic

paper publication in

 

Mr Paulo Henrique Chiberio | dielectric ceramic tapes containing hBN for applications on high-frequency substrates

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Mr Paulo Henrique Chiberio: Leading Researcher in dielectric ceramic tapes containing hBN for applications on high-frequency substrates

Congradulations, Mr Paulo Henrique Chiberio, on winning the esteemed  Best Researcher award  Sciencefather!

Mr Paulo Henrique Chiberio, Federal University of Rio Grande do Norte (UFRN).

Congratulations, Mr Paulo Henrique Chiberio In recognition of your outstanding contributions to the field of dielectric ceramic tapes containing  hBN for applications on high-frequency substrates we extend our heartfelt congratulations on receiving the prestigious  Best Researcher Award. by ScienceFather Your dedication to advancing knowledge in clinical dielectric ceramic tapes containing hBN for applications on high-frequency substrates, and the exploration of dielectric ceramic tapes containing hBN for applications on high-frequency substrates is truly commendable.Your commitment to excellence and tireless efforts in research have not only enriched our academic community but have also contributed significantly to the broader scientific community.

May this award serve as a testament to your exceptional skills, unwavering dedication, and the impactful influence you’ve had on your field.  We look forward to witnessing your continued success and the many more groundbreaking contributions to come.Once again, congratulations on this well-deserved achievement!

 

Professional Profiles:

 

 

Education:

 

2012-08-08 to 2016-08-13 | Engenheiro (Departamento de Engenharia Mecânica)

Universidade Federal do Rio Grande do Norte: Natal, Rio Grande do Norte, BR

 

Research projects:

2023-06-15 | journal-article   Filmes produzidos com compostos de tungstênio para aplicações elétricas e optoeletrônicas: uma revisão Revista Principia – Divulgação Científica e Tecnológica do IFPB

2021-12-08 | journal-article  Alumina-NbC composites fabricated by spark plasma sintering Revista Principia – Divulgação Científica e Tecnológica do IFPB