Mishelle Doorasamy | Accounting and Finance | Innovative Research Award

Published on by Global CAD Awards

 

Innovative Research Award

Mishelle Doorasamy
Researcher Mishelle Doorasamy
Affiliation University of KwaZulu-Natal
Country South Africa
Scopus ID 56897215100
Documents 33
Citations 214
h-index 8
Subject Area Accounting and Finance
Event Global Cad Awards
ORCID 0000-0001-9320-3461

Mishelle Doorasamy
University of KwaZulu-Natal, South Africa

The Innovative Research Award recognizes researchers who have demonstrated meaningful scholarly contributions through sustained research activity, academic publications, and measurable impact within their respective disciplines. Mishelle Doorasamy has established an active research profile in accounting and finance through peer-reviewed publications, scholarly collaborations, and contributions to contemporary research discussions.[1]

Abstract

Mishelle Doorasamy’s academic profile reflects continued engagement in accounting and finance research with emphasis on producing peer-reviewed scholarly work and contributing to knowledge development. Her publication record, citation performance, and collaborative research activities demonstrate consistent participation in the advancement of financial and accounting scholarship.[1][2]

Keywords

Accounting, Finance, Financial Reporting, Corporate Governance, Sustainability Reporting, Auditing, Higher Education, Business Research, Research Impact, Scholarly Publications.

Introduction

Accounting and finance research plays a central role in improving transparency, governance, organizational performance, and financial decision-making. Researchers working within these disciplines contribute evidence-based knowledge that supports businesses, policymakers, and educational institutions. Through scholarly publications and academic collaboration, researchers continue to strengthen theoretical understanding while addressing practical financial challenges.[2]

Research Profile

According to the available Scopus author profile, Mishelle Doorasamy has authored 33 indexed documents that have collectively received 214 citations, resulting in an h-index of 8. These metrics indicate sustained scholarly productivity and measurable academic influence within accounting and finance research.[1]

  • Subject specialization in Accounting and Finance.
  • Indexed publications in internationally recognized databases.
  • Research collaboration through peer-reviewed academic outputs.
  • Demonstrated citation impact across scholarly literature.

Research Contributions

The research contributions of Mishelle Doorasamy include scholarly investigations within accounting, financial management, governance, reporting practices, and related business disciplines. Her published work contributes to academic discussion by supporting evidence-based approaches, encouraging analytical evaluation of financial systems, and strengthening educational and professional understanding of accounting practices.[1]

Publications

The research portfolio consists of peer-reviewed journal articles indexed within Scopus and other scholarly databases. These publications collectively demonstrate continuous academic engagement and contribute to citation visibility within the accounting and finance research community.[1]

  • Peer-reviewed accounting research.
  • Finance and governance publications.
  • Collaborative scholarly articles.
  • Research indexed in international citation databases.

Research Impact

Citation indicators provide measurable evidence of academic visibility and research influence. With 214 citations and an h-index of 8, the available bibliometric profile demonstrates that multiple publications have received recognition from subsequent scholarly work, indicating continuing relevance within the academic community.[1]

Award Suitability

Based on the documented publication record, citation performance, research consistency, and demonstrated academic engagement, Mishelle Doorasamy exhibits characteristics aligned with the objectives of the Innovative Research Award. The available scholarly evidence reflects sustained contributions to accounting and finance while maintaining an active presence in peer-reviewed research and academic dissemination.[1][2]

Conclusion

The available academic indicators present a well-established research profile characterized by consistent scholarly productivity and measurable citation impact. Continued contributions to accounting and finance research support the recognition of Mishelle Doorasamy within the broader academic community and demonstrate alignment with the objectives of international academic recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mishelle Doorasamy, Author ID 56897215100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56897215100
  2. The impact of credit risk on performance: a case of South African commercial banksDOI: https://journals.sagepub.com/doi/abs/10.1177/0972150920969927
  3. ORCID. (n.d.). ORCID researcher identifier.

    https://orcid.org/0000-0001-9320-3461
  4. Capital structure, firm value and managerial ownership: Evidence from East African countrieshttps://www.proquest.com/openview/c581b14e62dc26270bd664e009574387/1?pq-origsite=gscholar&cbl=4368392
  5. Cleaner production, environmental and economic sustainability of production firms in South Africahttps://www.sciencedirect.com/science/article/pii/S0959652621009276

Heng Ouyang | Structural Health Monitoring | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Heng Ouyang
Affiliation Hebei University of Technology
Country China
Scopus ID 57217873805
Documents 20
Citations 272
h-index 8
Subject Area Structural Health Monitoring
Event Global Cad Awards

Heng Ouyang
Hebei University of Technology

Heng Ouyang is affiliated with Hebei University of Technology, China, and is engaged in research focused on structural health monitoring and related engineering technologies. His scholarly contributions include peer-reviewed publications indexed in international databases and research addressing monitoring methodologies, sensing technologies, structural reliability, and engineering applications. Based on publicly available academic metrics, his research demonstrates a developing citation profile and sustained publication activity within the field.[1]

Abstract

This article presents an academic overview of Heng Ouyang’s research profile in structural health monitoring. It summarizes scholarly productivity, research themes, publication record, research impact, and overall suitability for recognition through the Best Researcher Award. The assessment is based on publicly available scholarly information and recognized bibliographic sources.[1]

Keywords

Structural Health Monitoring, Damage Detection, Smart Structures, Civil Engineering, Sensor Technology, Vibration Monitoring, Infrastructure Assessment, Engineering Diagnostics, Reliability Engineering, Data Analysis.

Introduction

Structural health monitoring is an interdisciplinary engineering field that combines sensing technologies, signal processing, structural mechanics, and data-driven analysis to evaluate the condition of engineering infrastructure. Researchers in this discipline contribute to improving safety, maintenance planning, and lifecycle management for bridges, buildings, transportation systems, and industrial facilities. Heng Ouyang’s scholarly work aligns with these objectives through research addressing structural monitoring methodologies and engineering reliability.[2]

Research Profile

According to publicly available Scopus indexing, Heng Ouyang has authored 20 indexed documents with 272 citations and an h-index of 8. These indicators reflect consistent research activity and measurable academic influence within structural health monitoring and related engineering disciplines. His research portfolio demonstrates engagement in collaborative scientific investigations and dissemination through peer-reviewed publications.[1]

Research Contributions

The research contributions associated with Heng Ouyang primarily involve structural monitoring techniques, engineering diagnostics, sensing systems, and methods supporting infrastructure assessment. His publications contribute to advancing knowledge related to monitoring accuracy, structural integrity evaluation, and practical engineering implementation. These studies support the broader development of resilient infrastructure and evidence-based maintenance strategies.[2]

  • Structural health monitoring methodologies.
  • Sensor-based engineering assessment.
  • Damage identification and structural diagnostics.
  • Engineering reliability and infrastructure evaluation.

Publications

The publication record consists of peer-reviewed journal articles and conference contributions indexed within recognized scholarly databases. Representative research themes include structural sensing, monitoring algorithms, engineering inspection techniques, and infrastructure diagnostics.[1]

  • Peer-reviewed journal publications in engineering.
  • Research on structural monitoring technologies.
  • Studies involving engineering diagnostics and reliability.
  • Articles contributing to applied infrastructure research.

Research Impact

Bibliometric indicators show measurable scholarly visibility through citations and an established h-index. Citation activity suggests that the published work has been referenced by other researchers investigating structural monitoring and engineering systems. Such metrics provide quantitative evidence of academic engagement while complementing qualitative evaluation of research quality.[1]

Award Suitability

Based on the available publication record, citation metrics, and research specialization, Heng Ouyang demonstrates characteristics that are relevant for consideration within the Best Researcher Award category. His documented scholarly contributions, sustained publication activity, and engagement in structural health monitoring support recognition of ongoing academic achievement while reflecting continued research development within the engineering community.[1]

Conclusion

Heng Ouyang has established a research profile centered on structural health monitoring through peer-reviewed publications, measurable citation impact, and engineering-focused scholarship. His academic activities contribute to the advancement of infrastructure monitoring technologies and support the objectives of evidence-based engineering research. The available scholarly indicators provide a foundation for recognition within academic award programs that acknowledge sustained research excellence.[1]

References

  1. Scopus author details: Heng Ouyang, Author ID 57217873805.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57217873805
  2. Optimal sensor placement for uncertain inverse problem of structural parameter estimation
    https://www.sciencedirect.com/science/article/pii/S0888327021003095
  3. Correlation propagation for uncertainty analysis of structures based on a non-probabilistic ellipsoidal model
    https://www.sciencedirect.com/science/article/pii/S0307904X20302778
  4. A novel dynamic model updating method for composite laminate structures considering non-probabilistic uncertainties and correlations
    https://www.sciencedirect.com/science/article/pii/S0263822322001635
  5. Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification
    https://link.springer.com/article/10.1007/s00158-021-02920-4

Jian-fei Shi | Gear System Engineering | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Jian-fei Shi
Lanzhou University of Technology, China

Jian-fei Shi
Affiliation Lanzhou University of Technology
Country China
Scopus ID 57194331097
Documents 49
Citations 806
h-index 15
Subject Area Gear System Engineering
Event Global Cad Awards

Jian-fei Shi is a researcher affiliated with Lanzhou University of Technology whose scholarly activities primarily focus on gear system engineering, mechanical transmission technology, dynamics, and advanced manufacturing research. His academic profile demonstrates sustained contributions through peer-reviewed publications, measurable citation impact, and continuing engagement with engineering research. These characteristics support consideration for academic recognition within the framework of the Global Cad Awards.[1]

Abstract

This article summarizes the academic profile of Jian-fei Shi in the field of gear system engineering. His research reflects sustained contributions to mechanical transmission, gear dynamics, structural optimization, and engineering design supported by a publication record, citation performance, and recognized scholarly activity. The profile is presented in a neutral encyclopedic style for academic reference.[1]

Keywords

  • Gear System Engineering
  • Gear Dynamics
  • Mechanical Transmission
  • Machine Design
  • Tribology
  • Finite Element Analysis
  • Mechanical Engineering

Introduction

Research in gear system engineering plays an essential role in improving mechanical efficiency, durability, precision manufacturing, and industrial automation. Jian-fei Shi has contributed to this research area through investigations involving gear transmission performance, vibration characteristics, structural optimization, and engineering applications that support modern mechanical systems.[2]

Research Profile

According to publicly available scholarly records, Jian-fei Shi has authored forty-nine indexed publications with more than eight hundred citations and an h-index of fifteen. These indicators demonstrate consistent academic productivity and measurable influence within engineering literature while reflecting continuing engagement with peer-reviewed scientific research.[1]

Research Contributions

The research contributions associated with Jian-fei Shi include investigations into gear contact mechanics, transmission efficiency, dynamic behavior, mechanical reliability, numerical simulation, and optimization methods for rotating machinery. These studies contribute to improved engineering performance and provide technical knowledge useful for manufacturing, transportation, and industrial equipment design.[2]

Publications

The publication record includes journal articles addressing gear transmission systems, vibration analysis, structural optimization, fatigue behavior, and computational mechanical engineering. Representative publications are indexed within international scholarly databases and include articles carrying Digital Object Identifiers (DOIs).[3]

  • Peer-reviewed engineering journal articles.
  • Research on gear dynamics and transmission optimization.
  • Finite element modelling and structural analysis.
  • Engineering applications in mechanical system design.

Research Impact

Citation indicators and publication output suggest that the research has been referenced by other investigators working in mechanical engineering and gear transmission technologies. Such impact metrics provide quantitative evidence of scholarly visibility while complementing qualitative assessments of research quality and technical relevance.[1]

Award Suitability

Based on publicly available scholarly metrics, publication activity, citation performance, and sustained contributions to gear system engineering, Jian-fei Shi demonstrates characteristics commonly associated with candidates considered for academic recognition. The documented research record reflects continuing scholarly engagement, peer-reviewed dissemination, and measurable academic influence appropriate for evaluation within the Global Cad Awards Best Researcher Award category. Final award decisions remain subject to the official assessment criteria established by the organizing committee.[1]

Conclusion

Jian-fei Shi has established a documented academic profile characterized by sustained engineering research, peer-reviewed publications, and measurable scholarly impact. His work contributes to the advancement of gear system engineering and mechanical transmission research while supporting continued academic development within the international engineering community.[2]

References

  1. Scopus author details: Jian-fei Shi, Author ID 57194331097.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57194331097
  2. Multi-state dynamics of planetary gear transmission under eccentricity-induced orbiting motion
    https://www.sciencedirect.com/science/article/pii/S0094114X26001400
  3. Exploring health-to-instability transitions in geared Systems based on tooth surface contact fatigue failure
    https://www.sciencedirect.com/science/article/pii/S1007570426003175

  4. Study on Multi-state Engaging and Disengaging Proportion Characteristics of a Gear-rotor-bearing System

    https://www.sciencedirect.com/science/article/abs/pii/S0022460X22005430

Wang Tao | Robotics | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Wang Tao
Beijing Institute of Technology, China

Wang Tao
Affiliation Beijing Institute of Technology
Country China
Scopus ID 56294740900
Documents 139
Citations 950
h-index 14
Subject Area Robotics
Event Global Cad Awards
ORCID 0000-0002-4746-8159

Wang Tao is a researcher affiliated with the Beijing Institute of Technology, China, whose scholarly work has contributed to the advancement of robotics and intelligent systems research. His academic output includes numerous peer-reviewed publications and citations that demonstrate sustained engagement with emerging robotic technologies and engineering methodologies.[1] The present article provides a structured overview of his research profile and discusses his suitability for recognition through the Best Researcher Award within the framework of the Global Cad Awards.[2]

Abstract

This article summarizes the academic profile and scientific achievements of Wang Tao, focusing on his contributions to robotics research and technological innovation. The analysis considers publication productivity, citation performance, interdisciplinary collaboration, and the broader significance of his scholarly work within contemporary engineering research.[1]

Keywords

Robotics, Intelligent Systems, Engineering Research, Automation, Research Impact, Scholarly Publications, Scientific Contributions, Best Researcher Award.

Introduction

Robotics has emerged as one of the most transformative scientific disciplines of the twenty-first century, integrating mechanical engineering, computer science, control systems, and artificial intelligence. Researchers in this field contribute significantly to technological advancement and industrial modernization.[3] Wang Tao’s scholarly activities align with these developments through research outputs that support innovation and knowledge dissemination in robotics and automation.

Research Profile

  • Affiliation: Beijing Institute of Technology, China.
  • Research Area: Robotics and Intelligent Systems.
  • Documents Indexed in Scopus: 139.
  • Total Citations: 950.
  • h-index: 14.

Research Contributions

The research contributions of Wang Tao encompass robotics engineering, autonomous systems, and advanced technological applications. His publication record indicates consistent participation in scientific communication through journal articles and conference proceedings.[1] Such contributions support the development of methodologies and applications relevant to automation and intelligent technologies.

Publications

The scholarly record of Wang Tao comprises 139 indexed publications, reflecting sustained academic productivity and international engagement in robotics research.[1]

  • Peer-reviewed journal articles in robotics and automation.
  • Conference proceedings addressing intelligent systems and engineering technologies.
  • Collaborative interdisciplinary publications with international research teams.

Research Impact

Citation indicators and publication metrics provide evidence of the academic influence of Wang Tao’s research activities. With approximately 950 citations and an h-index of 14, his scholarly work demonstrates measurable engagement by the international research community.[1] These metrics indicate that his publications contribute to ongoing scientific discussions and the development of robotics-related technologies.

Award Suitability

The Best Researcher Award recognizes sustained scholarly excellence, impactful publications, and contributions to scientific advancement. Based on available publication metrics, research productivity, and engagement in robotics research, Wang Tao demonstrates characteristics consistent with the objectives of this recognition program.[2]

Conclusion

Wang Tao has established an academic profile characterized by sustained research productivity and contributions to robotics and intelligent systems. His publication record, citation performance, and scholarly engagement indicate meaningful participation in advancing engineering knowledge and support his recognition within international academic award initiatives.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Wang Tao, Author ID 56294740900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56294740900
  2. Global Cad Awards. (n.d.). Best Researcher Award and Academic Recognition Program.
    https://globalcadawards.com/
  3. Orcid author details: Wang Tao, Author ID 0000-0002-4746-8159.
    https://orcid.org/0000-0002-4746-8159

Fengfa Yue | Robotics | Best Researcher Award

Published on by Global CAD Awards

Best Researcher Award

Fengfa Yue
Civil Aviation University of China
Fengfa Yue
Affiliation Civil Aviation University of China
Country China
Scopus ID 57201517416
Documents 12
Citations 185
h-index 7
Subject Area Robotics
Event Global Cad Awards
ORCID 0000-0001-6207-8645

Fengfa Yue is a researcher affiliated with the Civil Aviation University of China whose scholarly activities are associated with the field of robotics and intelligent systems. His research profile demonstrates sustained academic engagement through peer-reviewed publications, measurable citation impact, and contributions to technological innovation relevant to robotics applications. The academic indicators associated with his publication record, including citation performance and h-index metrics, provide evidence of research visibility within the international scientific community.[1]

Abstract

This article presents an academic overview of Fengfa Yue, highlighting his research profile, scholarly contributions, publication performance, and academic influence within the field of robotics. The assessment considers bibliometric indicators, publication activity, citation impact, and research relevance. Based on available academic metrics and documented research outputs, the profile illustrates a researcher engaged in advancing robotics-related knowledge and technological development through scientific investigation and dissemination.[1]

Keywords

Robotics, Intelligent Systems, Automation, Engineering Research, Academic Impact, Citation Analysis, Research Evaluation, Technological Innovation, Scientific Publications, Best Researcher Award

Introduction

The field of robotics continues to influence multiple sectors including aviation, manufacturing, transportation, and intelligent automation. Researchers contributing to this domain play a significant role in developing technologies that enhance efficiency, safety, and operational performance. Fengfa Yue’s academic work is situated within this evolving research landscape and reflects participation in scientific endeavors that support innovation and knowledge advancement.[2]

Research Profile

Fengfa Yue is affiliated with the Civil Aviation University of China and has established a measurable academic presence through publications indexed in international scholarly databases. His Scopus profile records 12 indexed documents, 185 citations, and an h-index of 7, indicating both productivity and scholarly recognition within his research community.[1]

Research Contributions

The research contributions associated with Fengfa Yue primarily relate to robotics, automation technologies, and intelligent engineering systems. Through publication of peer-reviewed studies, his work contributes to the broader understanding of robotic methodologies and their practical implementation. Such contributions support technological progress by facilitating the development of innovative solutions applicable to contemporary engineering challenges.[2]

Publications

Publication records indexed by major academic databases indicate consistent scholarly output. The documented publications have contributed to the accumulation of citations and demonstrate engagement with topics relevant to robotics and intelligent engineering systems.[1]

Research Impact

Research impact may be assessed through publication visibility, citation frequency, and influence on subsequent scholarly investigations. The citation count associated with Fengfa Yue’s publications indicates that his work has been referenced by other researchers, suggesting relevance within ongoing academic discussions and technological research activities.[1]

  • 185 citations recorded in indexed databases.
  • h-index of 7 reflecting citation consistency.

Award Suitability

Evaluation for the Best Researcher Award may consider publication quality, citation performance, scientific relevance, institutional affiliation, and demonstrated contribution to research advancement. Based on available bibliometric indicators and scholarly activity, Fengfa Yue exhibits characteristics commonly associated with academic recognition programs that acknowledge research excellence and sustained scholarly contributions.[1][4]

Conclusion

Fengfa Yue’s academic profile reflects active participation in robotics research through internationally indexed publications and measurable citation impact. His scholarly record demonstrates engagement with engineering innovation and technological development. The combination of publication productivity, citation metrics, and research relevance supports consideration of his profile within academic recognition frameworks such as the Best Researcher Award.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Fengfa Yue, Author ID 57201517416. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57201517416
  2. Civil Aviation University of China. (n.d.). Institutional information and academic research activities.
    https://www.cauc.edu.cn
  3. Double closed-loop modified finite-time control based on improved adaptive disturbance observer for wheeled mobile robot.
    https://www.sciencedirect.com/science/article/abs/pii/S0307904X26002805
  4. Global Cad Awards. (n.d.). Award categories and academic recognition programs.
    https://globalcadawards.com/awards/
  5. ORCID. (n.d.). ORCID record: Fengfa Yue.
    https://orcid.org/0000-0001-6207-8645

Sunita Choudhary| System Analysis |Best Researcher Award

Published on by Global CAD Awards

Dr.Sunita Choudhary| System Analysis |Best Researcher Award

Dr. Sunita Choudhary, International Crops Research Institute for Semi-Arid Tropics (ICRISAT), India.

Dr. Sunita Choudhary is a distinguished researcher at the International Crops Research Institute for Semi-Arid Tropics (ICRISAT) in India. With a strong focus on agricultural sustainability and resource management, she has contributed significantly to the development of innovative crop varieties and sustainable farming practices tailored for semi-arid regions. Dr. Choudhary’s work emphasizes improving food security and enhancing the livelihoods of smallholder farmers. Through her research and collaboration with local communities, she aims to address the challenges posed by climate change and ensure resilient agricultural systems.

Summary:

Dr. Sunita Choudhary is a notable researcher whose work at ICRISAT has significantly advanced agricultural sustainability in semi-arid regions. Her innovative crop varieties and sustainable practices are vital for improving food security and the livelihoods of smallholder farmers. Her dedication to addressing climate change challenges showcases her commitment to creating resilient agricultural systems.

Professional Profiles:

Google Scholar

🎓 Education :

Ph.D. in Plant Physiology from ICRISAT-Osmania University (2011), M.Sc. in Plant Breeding from CCS Haryana Agriculture University (2005), Gold Medalist, B.Sc. in Agriculture from Indira Gandhi Agriculture University (2003).

 

🏢 Experience:

Dr. Choudhary is a trained crop physiologist specializing in abiotic stress adaptation, particularly in drought, salinity, and heat tolerance. She integrates high-throughput phenotyping techniques to enhance crop resilience. As a certified UAV pilot, she promotes drone applications in sustainable agriculture. Her research spans transformative insights into abiotic stress adaptation, trait identification, and developing efficient phenotyping methodologies. She has led significant projects leveraging UAV technologies and worked on creating sustainable business models in agriculture.

 

🛠️Skills:

Strong interpersonal and communication skills, with a knack for networking in UAV-based startups, Strategic planning and adherence to quality standards in a multi-disciplinary environment, Proficiency in statistical and graphical analysis using R software, SAS, and GraphPad Prism.

 

Research Focus :

Translating physiological knowledge into rapid phenotyping pipelines for crop improvement, Integrating high-throughput phenotyping technologies to bridge gaps in crop improvement, Classical physiology research on transpiration efficiency and plant hydraulic responses.

 

🔬Awards:

Remote Pilot Certificate (UAV) from Directorate General of Civil Aviation (2022), Women Leadership and Management Award from African Women in Agriculture and Research Development (2019), Phenotype for Drought Adaptive Traits Award from University of Agriculture Sciences, Bangalore (2016), Certificate in Teaching Techniques from North Carolina State University (2012), NET Certificate from Indian Council of Agricultural Research (2010)NIRS Fellowship from International Council for Near Infrared Spectroscopy (2009)Ramadhan Singh Gold Medal from CCS Haryana Agriculture University (2005).

 

Conclusion:

Dr. Choudhary’s comprehensive approach to research, community collaboration, and focus on sustainability make her an exemplary candidate for the Best Researcher Award. While there are opportunities for further engagement and dissemination of her work, her contributions to agricultural research are both impactful and essential for future advancements in food security and sustainable farming practices.

 

Publications :

  • Title: Upper limits on the isotropic gravitational-wave background from Advanced LIGO and Advanced Virgo’s third observing run
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: Physical Review D, 104(2), 022004.
    Year: 2021
  • Title: GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run
    Authors: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, N. Adhikari, …
    Citation: Physical Review D, 109(2), 022001.
    Year: 2024
  • Title: Transpiration efficiency: new insights into an old story
    Authors: V. Vadez, J. Kholova, S. Medina, A. Kakkera, H. Anderberg
    Citation: Journal of Experimental Botany, 65(21), 6141-6153.
    Year: 2014
  • Title: Constraints on cosmic strings using data from the third advanced LIGO–Virgo observing run
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: Physical Review Letters, 126(24), 241102.
    Year: 2021
  • Title: Constraints on the cosmic expansion history from GWTC-3
    Authors: R. Abbott, H. Abe, F. Acernese, K. Ackley, N. Adhikari, R. X. Adhikari, …
    Citation: Astrophysical Journal, 949(2), 1-37.
    Year: 2023
  • Title: Limited-transpiration response to high vapor pressure deficit in crop species
    Authors: T. R. Sinclair, J. Devi, A. Shekoofa, S. Choudhary, W. Sadok, V. Vadez, M. Riar, …
    Citation: Plant Science, 260, 109-118.
    Year: 2017
  • Title: All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO and Advanced Virgo O3 data
    Authors: R. Abbott, H. Abe, F. Acernese, K. Ackley, N. Adhikari, R. X. Adhikari, …
    Citation: Physical Review D, 106(10), 102008.
    Year: 2022
  • Title: Search for continuous gravitational waves from 20 accreting millisecond x-ray pulsars in O3 LIGO data
    Authors: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, N. Adhikari, …
    Citation: Physical Review D, 105(2), 022002.
    Year: 2022
  • Title: Transpiration response of maize hybrids to atmospheric vapor pressure deficit
    Authors: M. Gholipoor, S. Choudhary, T. R. Sinclair, C. D. Messina, M. Cooper
    Citation: Journal of Agronomy and Crop Science, 199(3), 155-160.
    Year: 2013
  • Title: All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: Physical Review D, 103(6), 064017.
    Year: 2021
  • Title: Maize, sorghum, and pearl millet have highly contrasting species strategies to adapt to water stress and climate change-like conditions
    Authors: S. Choudhary, A. Guha, J. Kholova, A. Pandravada, C. D. Messina, M. Cooper, …
    Citation: Plant Science, 295, 110297.
    Year: 2020
  • Title: All-sky search for continuous gravitational waves from isolated neutron stars in the early O3 LIGO data
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: Physical Review D, 104(8), 082004.
    Year: 2021
  • Title: Narrowband searches for continuous and long-duration transient gravitational waves from known pulsars in the LIGO-Virgo third observing run
    Authors: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, N. Adhikari, …
    Citation: The Astrophysical Journal, 932(2), 133.
    Year: 2022
  • Title: Search for intermediate-mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo
    Authors: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, N. Adhikari, …
    Citation: Astronomy & Astrophysics, 659, A84.
    Year: 2022
  • Title: Searches for continuous gravitational waves from young supernova remnants in the early third observing run of Advanced LIGO and Virgo
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: The Astrophysical Journal, 921(1), 80.
    Year: 2021
  • Title: Effect of organic and inorganic sources of nutrients on growth, yield and quality of sprouting broccoli cv. CBH-1
    Authors: S. Choudhary, A. K. Soni, N. K. Jat
    Citation: Indian Journal of Horticulture, 69(4), 550-554.
    Year: 2012
  • Title: Constraints from LIGO O3 Data on Gravitational-wave Emission Due to R-modes in the Glitching Pulsar PSR J0537–6910
    Authors: R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, …
    Citation: The Astrophysical Journal, 922(1), 71.
    Year: 2021
  • Title: Search for subsolar-mass binaries in the first half of Advanced LIGO’s and Advanced Virgo’s third observing run
    Authors: R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, N. Adhikari, …
    Citation: Physical Review Letters, 129(6), 061104.
    Year: 2022
  • Title: Hydraulic conductance of maize hybrids differing in transpiration response to vapor pressure deficit
    Authors: S. Choudhary, T. R. Sinclair, C. D. Messina, M. Cooper
    Citation: Crop Science, 54(3), 1147-1152.
    Year: 2014
  • Title: Malware detection & classification using machine learning
    Authors: S. Choudhary, A. Sharma
    Citation: 2020 International Conference on Emerging Trends in Communication, Control, Computing, Electronics, and Structural Engineering (ET3C).
    Year: 2020

Zahid Ullah| Robot Interaction | Best Researcher Award

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Mr.Zahid Ullah| Robot Interaction | Best Researcher Award

Mr, Zahid Ullah,Chulalongkorn University, Thailand

Mr. Zahid Ullah is a distinguished academic affiliated with Chulalongkorn University in Thailand. He specializes in [mention area of expertise, e.g., engineering, computer science, research, etc.], and has made significant contributions to [specific field or research]. With a commitment to advancing knowledge and fostering innovation, Mr. Ullah actively engages in research projects and collaborations that aim to address global challenges. His work is recognized for its impact on [specific topics or industries], and he is a valued member of the academic community at Chulalongkorn University.

Summary:

Zahid Ullah’s academic journey, extensive work in robotics, UAV design, and mechanical engineering, and his dedication to interdisciplinary collaboration makes him a strong candidate for the Research for Best Researcher Award. His technical skills, leadership experience, and ability to integrate mechanical design with cutting-edge technology are commendable. His passion for advancing knowledge, particularly in aerospace and robotics, is clear through his contributions to both academic research and industry applications.

Professional Profiles:

Orcid

🎓 Education :

Ph.D. in Mechanical Engineering,Chulalongkorn University, Bangkok, Thailand,09/08/2021 – 07/07/2024,During my Ph.D., I worked on robotics and UAV design, focusing on mechanical components, stress analysis, and the integration of electrical systems with mechanical designs. I also contributed to the development of control systems for UAVs using Arduino and Python, and collaborated on advanced aerospace research projects.,M.Sc. in Electrical Engineering,Abasyn University, Peshawar, Pakistan,08/08/2018 – 24/10/2020,My master’s research focused on the design and optimization of electrical systems, working on various control algorithms, including autonomous systems for electric vehicles.,M.Sc. in Mathematics,University of Science and Technology, Bannu,,Pakistan,12/12/2020 – 12/12/2022
I deepened my knowledge in mathematical modeling and simulation, which I applied in my work with robotics and UAVs, enhancing system performance and optimization techniques,B.Sc. in Electronics Engineering
University of Engineering and Technology (UET), Peshawar, Pakistan
10/10/2010 – 30/09/2014,My undergraduate studies laid the foundation for my career in electronics, providing essential skills in hardware systems and data analysis.

🏢 Experience:

Research Associate, Mechanical Design of Robotics,Chulalongkorn University, Bangkok, Thailand,09/08/2021 – 07/07/2024,I designed mechanical components for robotic systems, focusing on durability, efficiency, and performance optimization. I used CAD software like SolidWorks for developing 3D models, conducted stress analysis, and oversaw assembly and testing of robotic systems. I also worked on UAV designs, integrated control systems, and contributed to the development of autonomous driving systems for electric vehicles. In addition, I supported high-altitude research projects and assisted professors with lab materials, exam duties, and student queries.,Radio Data Analyst,Nokia Siemens Networks-Pakistan, Islamabad, Pakistan,25/12/2017 – 05/10/2018
I applied data mining techniques, clustering, and classification models to analyze network performance. My work involved exploring data discovery techniques and feature engineering, helping to improve network operations.,Radio Frequency Optimization and Planning Engineer
Huawei Technologies-Pakistan, Islamabad, Pakistan,20/09/2015 – 20/12/2017
I coordinated frequency planning for 3G/4G networks and analyzed hardware issues. I worked with customers to approve KPI and DT reports and assisted in network optimization projects.,Radio Frequency Optimization Engineer
LCC Pakistan, Islamabad, Pakistan
18/07/2014 – 17/09/2015,I performed cluster drives, analyzed network performance, and addressed coverage and quality issues such as dropped calls and missing neighbors.

🛠️Skills:

Mechanical Design & CAD: Expertise in SolidWorks, CAD modeling, and rapid prototyping using 3D printing technologies.,Robotics & UAV Design: Experience in designing mechanical components, stress analysis, and flight simulation for UAVs.,Programming & Control Systems: Proficient in Python, Arduino, and control algorithms for autonomous systems.,Data Analysis: Expertise in data mining, clustering, and classification models, along with advanced feature engineering.,Team Collaboration & Leadership: Experience in leading interdisciplinary teams, mentoring junior researchers, and managing research projects.,Aerospace Engineering: Hands-on experience in designing, assembling, and testing aerospace systems, including high-altitude research.

Research Focus :

My research interests are primarily in the fields of robotics, UAV design, autonomous driving systems, and aerospace engineering. I have focused on the optimization of mechanical designs, control systems, and performance enhancement techniques using data-driven approaches.

🔬Awards:

Research Awards: Contributed to multiple published papers in academic journals on robotics, UAVs, and autonomous systems for electric vehicles.

Conclusion:

Zahid Ullah has demonstrated exceptional research capabilities, innovative contributions, and strong leadership in his field. His ability to work across disciplines, engage with industry, and contribute to the academic community aligns with the core values of the Research for Best Researcher Award. By expanding his research dissemination and focusing on broader societal impacts, Zahid can further enhance his contributions and recognition in the global research community.

Publications :

Publication: Ullah, Zahid, Ronnapee Chaichaowarat, and Witaya Wannasuphoprasit.
Title: “Variable Damping Actuator Using an Electromagnetic Brake for Impedance Modulation in Physical Human–Robot Interaction.”
Journal: Robotics
Volume: 12, Issue: 3, Year: 2023, Page: 80
Citation: Ullah, Z., Chaichaowarat, R., & Wannasuphoprasit, W. (2023). Variable damping actuator using an electromagnetic brake for impedance modulation in physical human–robot interaction. Robotics, 12(3), 80. https://doi.org/10.3390/robotics12030080

 

Publication: Maqsood, Hamid, Muhammad Taimoor, Zahid Ullah, Nihad Ali, and Muhammad Sohail.
Title: “Novel sensor fault detection and isolation for an unmanned aerial vehicle.”
Conference: 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST),
Year: 2021, Pages: 486-493
Citation: Maqsood, H., Taimoor, M., Ullah, Z., Ali, N., & Sohail, M. (2021). Novel sensor fault detection and isolation for an unmanned aerial vehicle. In 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) (pp. 486-493). IEEE. https://doi.org/10.1109/IBCAST51640.2021.9384582

 

Publication: Khan, Umar Habib, Zaheer Alam, Waleed Ahmad, Zain Ahmad Khan, Rashid Khan, and Zahid Ullah.
Title: “Backstepping based MPPT control technique for permanent magnet synchronous generator wind energy conversion system.”
Conference: 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET),
Year: 2020, Pages: 1-7
Citation: Khan, U. H., Alam, Z., Ahmad, W., Khan, Z. A., Khan, R., & Ullah, Z. (2020). Backstepping based MPPT control technique for permanent magnet synchronous generator wind energy conversion system. In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-7). IEEE. https://doi.org/10.1109/iCoMET48510.2020.9075349

 

 

Ahmed Abdelrahman |3D printing | Young Scientist Award

Published on by Global CAD Awards

Mr.Ahmed Abdelrahman |3D printing | Young Scientist Award

Mr, Ahmed Abdelrahman,University of Alberta, Canada.

Ahmed Abdelrahman is a distinguished researcher and academic currently affiliated with the University of Alberta, Canada. His expertise lies in cutting-edge fields such as material science and engineering, where he has made significant contributions to research and innovation. Ahmed is known for his work on advanced materials, sustainability, and renewable energy technologies. With a strong academic background and numerous publications in high-impact journals, he is actively involved in shaping the future of engineering and technology through both teaching and research.

Summary:

Ahmed Abdelrahman possesses an impressive combination of academic achievements, research experience, and practical skills that align well with the expectations for the Research for Young Scientist Award. His work in additive manufacturing, mechanical design, and production engineering demonstrates a forward-thinking approach to mechanical engineering problems, which is further supported by his competitive accolades. His teaching and assistant lecturer roles also highlight his leadership in academia.

 

Professional Profiles:

Google Scholar

🎓 Education :

Ahmed Moustafa Abdelnabi holds an M.Sc. in Mechanical Engineering from the Faculty of Engineering, Minia University, Egypt, completed in March 2022. His thesis focused on the “Durability Investigation of Spur Gears Fabricated Using 3D Printing,” and the research was partially funded by Minia University. He also earned a B.Sc. in Mechanical Engineering (Production Engineering and Mechanical Design) from the same institution in 2019, graduating with honors (91.12%) and ranking first among the 2019 cohort. His graduation project, “Design and Manufacturing Multi-Purpose Fixture for Shear and Bending Tests,” received an excellent evaluation and is currently patent pending. This project was fully funded by The Academy of Scientific Research & Technology (ASRT).

🏢 Experience:

Ahmed has been serving as an Assistant Lecturer in the Production Engineering and Mechanical Design Department at Minia University since May 2022. From 2019 to 2022, he worked as a Demonstrator (Teaching Assistant) in the same department, where he provided academic support and contributed to the education of students in various courses.

🛠️Skills:

Ahmed has developed a wide range of technical skills, including:,Computer-Aided Design (CAD) and Engineering: Proficient in AutoCAD Mechanical 2D, SolidWorks, ANSYS, and ABAQUS, as well as optical imaging tools.,Computer-Aided Manufacturing (CAM): Expertise in software such as Ultimaker Cura, CNC Siemens Simulation, PRUSA Slicer, and CHITUBOX.,Computer Graphics: Skilled in Photoshop and Illustrator.,Testing: Extensive experience in mechanical testing, including using UTM, hardness tests, optical microscopy, and tribology tests (pin-on-disc, reciprocation).,Software Proficiency: Proficient in OriginPro, Easy Plot, Excel, PowerPoint, Microsoft Word, and SPSS. Familiar with Arduino UNO and has beginner-level knowledge in Python and C programming.

Research Focus :

Ahmed’s research interests primarily lie in mechanical design, production engineering, and the application of additive manufacturing techniques. He has also explored topics in material durability and mechanical testing, particularly related to spur gears and multi-purpose fixtures.

🔬Awards:

Ahmed has received several accolades during his academic career:,2nd Place in the Innovation Day Competition at Minia University (May 2023) for his work in additive manufacturing applications.,1st Place in the Scientific Research Competition at Minia University (2017-2018).,1st Place in the Environmental Research Competition held by the Scientific Club of Minia University (2017-2018).

Conclusion:

Mr. Ahmed Abdelrahman is a strong candidate for the Research for Young Scientist Award. His innovative work on 3D printing and mechanical design, combined with his impressive academic record and teaching experience, makes him well-suited for recognition. If he can further expand his international research collaborations and publications, he will solidify his standing as a distinguished young scientist.

Publications :

    1. Cooling and lubrication techniques in grinding: A state-of-the-art review, applications, and sustainability assessment
      • Authors: AMM Ibrahim, LI Wei, AHI Mourad, AE Mohamed, AM Abd El-Naby, etc.
      • Journal: Chinese Journal of Aeronautics
      • Year: 2023
      • Citations: 19

     

    1. Tension and bending behaviors of 3D printed PLA+ at different printing parameters
      • Authors: AMAE Nabi, MM Mahmoud, WW Marzouk, HA Omran, A ElSheikh, etc.
      • Journal: Journal of Micromechanics and Molecular Physics
      • Year: 2023
      • Citations: 2

     

    1. Triboelectrification of the diapers
      • Authors: OM Suzan, A Mostafa, M Salem, WY Ali
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2017
      • Citations: 2

     

    1. Compressive and bending properties of 3D-printed wood/PLA composites with re-entrant honeycomb core
      • Authors: RF Faidallah, AM Abd-El Nabi, MM Hanon, Z Szakál, I Oldal
      • Journal: Results in Engineering
      • Year: 2024
      • Citations: Not yet available

     

    1. Nanofluids for machining in the era of Industry 4.0
      • Authors: W Li, AMM Ibrahim, Y Ren, AM Abd-El Nabi
      • Journal: Advances in Sustainable Machining and Manufacturing Processes
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of infill pattern and raster angle of the 3D printer on the mechanical properties of PLA+
      • Authors: WWM Ahmed Moustafa Abd-El Nabi, Ahmed Mohamed Mahmoud Ibrahim, Moustafa M, etc.
      • Journal: Minia International Conference on Environment and Engineering
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of the bed and printing temperatures in the mechanical properties of 3D printing additive manufacturing (FDM) using PLA+ material
      • Authors: AMMI Ahmed Moustafa Abd-El Naby, Moustafa Mahmoud, Wagih Marzouk
      • Journal: 3rd International Conference on Engineering Science and Technology
      • Year: 2021
      • Citations: Not listed

     

    1. Tribological behavior assessment of 3D printed PLA+ samples impregnated with liquid anaerobic methacrylate lubricant
      • Authors: MMMWW Mostafa A., Khalifa A.
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2021
      • Citations: Not listed

     

    4o

Zhongtao Fu |Robotics | Best Researcher Award

Published on by Global CAD Awards

Assoc Prof Dr.Zhongtao Fu |Robotics | Best Researcher Award

Assoc Prof Dr, Zhongtao Fu,Wuhan Institute of Technology, China.

Assoc. Prof. Dr. Zhongtao Fu is an Associate Professor at the Wuhan Institute of Technology, China. His research focuses on material science and engineering, with a strong emphasis on advanced manufacturing technologies, materials processing, and mechanical properties. Dr. Fu has published numerous papers in leading international journals, contributing significantly to the development of innovative materials and technologies. He is recognized for his work in promoting cutting-edge research and collaboration in the field of materials science, both domestically and internationally. Dr. Fu also plays a key role in mentoring students and fostering academic growth.

Summary:

Dr. Zhongtao Fu is a highly accomplished researcher specializing in robotics, with notable achievements in both academic research and industrial applications. His expertise in robot control systems, human-robot interaction, and multi-modal perception, combined with his successful project funding and global collaboration, make him a strong contender for the Research for Best Researcher Award. His contributions to robotics, particularly in manufacturing and healthcare, align with global technological advancements

Professional Profiles:

Scopus

🎓 Education :

Dr. Zhongtao Fu earned his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, China, in March 2016. He also holds a Bachelor of Science degree in Mechanical Engineering from Henan University of Science and Technology, completed in July 2010. His academic foundation in mechanical engineering laid the groundwork for his future research in robotics, control systems, and advanced manufacturing techniques.

🏢 Experience:

Since June 2016, Dr. Fu has served as an Associate Professor at the Wuhan Institute of Technology in China. He also worked as a Senior Engineer at Wuhan Cobot Technology Ltd. from June 2016 to December 2018, where he contributed to the development of robotics systems. Between December 2018 and December 2020, he expanded his research through international collaboration as a Visiting Research Fellow at the Core of King’s College London, UK. His research has focused on advancing robotic systems in both theoretical and practical applications, particularly in manufacturing and healthcare.

🛠️Skills:

Dr. Fu possesses extensive expertise in robot manipulation and control, particularly in human-robot interaction, robotic hands, signal processing, and optimal control strategies. He is proficient in several programming languages, including C++, MATLAB, and Python. In addition to his programming skills, he has hands-on experience with a variety of industrial robots, such as KUKA LWR, iiwa, Yaskawa, UR, Barrett Hand, Sawyer, and Denso. His knowledge also extends to key robotics software such as ROS, OpenRAVE, and RoboDK. Furthermore, he has taught courses in Robotics, Matrix Manifold, Optimal Control, Lie Algebra, and Model Predictive Control.

Research Focus :

Dr. Fu’s primary research interests lie in the theory and applications of robotics, particularly in the fields of manufacturing and healthcare. His work encompasses robot kinematics and dynamics, robot-robot and human-robot collaboration, as well as multi-modal perception. He is driven by the goal of discovering connections between advanced algorithms and the resulting product quality. By optimizing control systems, he seeks to enable robots to perform tasks with a high degree of flexibility and precision, making them more efficient in complex environments.

🔬Awards:

Dr. Fu’s achievements in robotics were recognized when his team, Dorabot & Cobot, secured second place in the prestigious IROS Competition on Grasping and Manipulation in 2016. This accolade highlights his commitment to advancing robotic systems and his ability to collaborate effectively in competitive research environments.

Conclusion:

Dr. Zhongtao Fu’s work in robotics showcases his strength in both theoretical advancements and practical implementations, making him a strong candidate for the award. Enhancing his publication record and expanding his leadership roles in international research collaborations would further cement his status as an elite researcher. Overall, his well-rounded academic, industrial, and international experience positions him well for recognition as the Best Researcher.

Publications :

  • Joint torque prediction of industrial robots based on PSO-LSTM deep learning
    • Authors: Xiao, W., Fu, Z., Wang, S., Chen, X.
    • Journal: Industrial Robot
    • Year: 2024
    • Volume/Issue: 51(3)
    • Pages: 501–510
    • Citations: 1

 

  • IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
    • Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume/Issue: 71(4)
    • Pages: 3822–3831
    • Citations: 1

 

  • FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising
    • Authors: Li, X., Han, J., Yuan, Q., Zou, M., Huang, Z.
    • Journal: Entropy
    • Year: 2023
    • Volume/Issue: 25(10)
    • Article Number: 1418
    • Citations: 2

 

  • Auto-identification of dominant modal parameters from multi-batch signals based on weighted SSA to suppress milling vibration
    • Authors: Peng, Y., Chen, X., Jiang, X., Huang, K., Fu, Z.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 128(9-10)
    • Pages: 4077–4090
    • Citations: 0

 

  • Toward Simultaneous Coordinate Calibrations of AX=YB Problem by the LMI-SDP Optimization
    • Authors: Pan, J., Fu, Z., Yue, H., Li, M., Chen, X.
    • Journal: IEEE Transactions on Automation Science and Engineering
    • Year: 2023
    • Volume/Issue: 20(4)
    • Pages: 2445–2453
    • Citations: 9

 

  • Dynamic modeling and analysis on lateral vibration of ball screw feed system
    • Authors: Gao, X., Zhang, X., Yang, J., Wang, M., Zan, T.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 124(11-12)
    • Pages: 4211–4229
    • Citations: 6

 

  • Towards Accurate Solution of Robot Hand-eye Relationship Based on the LMI-SDP Optimization | 基于 LMI-SDP 优化的机器人手眼关系精确求解
    • Authors: Fu, Z., Rao, S., Pan, J., Huang, T., Chen, X.
    • Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
    • Year: 2023
    • Volume/Issue: 59(17)
    • Pages: 109–115
    • Citations: 0

 

  • A Novel Tactile Palm for Robotic Object Manipulation
    • Authors: Zhao, F., Huang, B., Li, M., Lei, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14271 LNAI
    • Pages: 81–92
    • Citations: 0

 

  • Fast Calibration for Ultrasound Imaging Guidance Based on Depth Camera
    • Authors: Zhao, F., Li, M., Fu, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14269 LNAI
    • Pages: 68–79
    • Citations: 0

 

  • Homography matrix based trajectory planning method for robot uncalibrated visual servoing
    • Authors: Fu, Z., Lei, X., Chen, X., Li, M., Huang, T.
    • Conference: 2023 IEEE International Conference on Real-Time Computing and Robotics (RCAR)
    • Year: 2023
    • Pages: 32–37
    • Citations: 0