Devendra Yadav | Computer Science | Industry Innovation Recognition Award

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🌟Assist Prof Dr. Devendra Yadav, Computer Science, Industry Innovation Recognition Award🏆

  •  Assistant Professor at XIM University India 

Dr. Devendra Kumar Yadav is a dedicated researcher and educator with expertise in wireless communication, IoT, and embedded systems. He holds a Ph.D. in Development of IoT-based wireless sensor systems for slope stability monitoring in open-cast mines from NIT Rourkela. With a strong academic background in Electronics and Communication Engineering, he has contributed significantly to the field through his research, publications, and professional experiences.

Author Metrics

Dr. Yadav’s research impact is reflected in his author metrics, including citations, h-index, and publication venues. He maintains a strong presence on academic platforms such as Google Scholar and ResearchGate, where his publications are widely accessed and cited by fellow researchers in the field.

Scopus Profile

Google Scholar Profile

ORCID Profile

Dr. Devendra Kumar Yadav is affiliated with XIM University in Bhubaneswar, India. His Scopus Author Identifier is 57190345456. He has 49 citations from 46 documents, with 10 documents attributed to him. His h-index is 4.

Education

Dr. Devendra Kumar Yadav completed his B.Tech. in Electronics and Communication Engineering from Sambalpur University, followed by an M.Tech. in Information and Communication Technology from Veer Surendra Sai University of Technology. He pursued his Ph.D. at NIT Rourkela, focusing on IoT-based wireless sensor systems for slope stability monitoring in open-cast mines, where he achieved a notable CGPA.

Research Focus

Dr. Yadav’s research primarily revolves around wireless communication, IoT, embedded systems, and their applications in various domains. His Ph.D. research focused on developing IoT-based wireless sensor systems for slope stability monitoring in open-cast mines, which involved the integration of fog computing and LoRa communication technology.

Professional Journey

Dr. Yadav has gained diverse professional experience, starting as a Project Associate at NIT Rourkela, where he contributed to research projects. He later served as a Teaching Assistant at the same institution. He then transitioned to roles as an Assistant Professor in CSE at SRMIST, Delhi-NCR, Ghaziabad, and currently serves as an Assistant Professor-II at XIM University, Bhubaneswar.

Research Timeline

Dr. Yadav’s research timeline highlights his progression from undergraduate studies to his current position as an Assistant Professor-II. It showcases key milestones such as completing his Ph.D., presenting at conferences, publishing papers, and transitioning between academic and professional roles. This timeline underscores his continuous growth and contributions to the field of wireless communication and IoT.

Publications Top Noted & Contributions

Dr. Yadav has made significant contributions to the academic community through his publications and conference presentations. His research papers have been published in reputable journals such as IEEE Transactions on Instrumentation & Measurement and Arabian Journal for Science and Engineering. He has also presented his work at various international and national conferences.

An Energy-Efficient Trajectory Prediction for UAVs Using an Optimised 3D Improvised Protocol

  • Authors: V. Gupta, D.D. Seth
  • Published in Wireless Personal Communications in 2023.
  • This paper likely discusses a method for predicting the trajectories of Unmanned Aerial Vehicles (UAVs) using an optimized 3D protocol to improve energy efficiency.

Studying Time Domain Reflectometry to Predict Slope Failure in Open-Cast Mines

  • Authors: D.K. Yadav, G. Karthik, S. Jayanthu, S.K. Das, S.K. Sharma
  • Published in the Journal of Mining Science in 2020.
  • Focuses on the application of Time Domain Reflectometry (TDR) in predicting slope failures in open-cast mines, likely exploring its effectiveness and reliability in this context.

Testing of LoRa Module for Communication Systems in Opencast Mines Vis-a-vis Slope Stability

  • Authors: D.K. Yadav, S. Jayanthu
  • Published in 2018.
  • This paper appears to investigate the use of LoRa (Long Range) communication modules in opencast mines and how they relate to slope stability, likely assessing their performance and reliability.

Real-Time Dynamic Relative Positioning of an Unmanned Ground Vehicle

  • Authors: D.K. Yadav, P. Mishra, K. Patel, S.K. Das
  • Presented at the International Conference on “Computing for Sustainable Global Development” in 2017.
  • This likely presents a method for real-time dynamic relative positioning of Unmanned Ground Vehicles (UGVs), which could have applications in various fields including robotics and autonomous navigation.

A Quantitative Understanding of Human Sex Chromosomal Genes

  • Authors: S.S. Hassan, P.P. Choudhury, A. Sengupta, B. Sahu, R. Mishra, D.K. Yadav, …
  • Appears to be a preprint on arXiv from 2012.
  • This paper seems to delve into the quantitative analysis of genes located on the sex chromosomes in humans, potentially contributing to the understanding of genetic mechanisms related to sex determination and other biological processes.

Wei Yan | Computer Science | Best Researcher Award

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🌟Assoc Prof Dr. Wei Yan, Computer Science, Best Researcher Award🏆

  Associate professor at Shandong Normal University, China

Wei Yan is an Associate Professor at Shandong Normal University, China, specializing in Computer Science. Holding a PhD from INSA de Strasbourg and Université de Strasbourg, France, he has a rich academic background. Wei’s expertise lies in Building Information Model, Knowledge Graph, and Explainable Artificial Intelligence, with a focus on predictive maintenance.

Author Metrics:

While the bio provides a comprehensive list of publications, it does not include specific author metrics such as citation counts, h-index, or other quantitative measures of research impact.

Scopus Profile

Citations: The number of times Wei Yan’s research papers and documents have been cited by other researchers. Higher citation counts generally indicate that the author’s work has had a significant impact and is considered valuable by peers in the academic community.

Documents: The total number of research papers, articles, or documents authored by Wei Yan. This metric reflects the overall productivity and output of the author.

h-index: The h-index is a numerical indicator of an author’s productivity and citation impact. An author has an h-index of ‘7,’ suggesting that there are at least seven papers that have been cited at least seven times. It’s a balanced metric that considers both the quantity and impact of an author’s work.

Education:

Wei Yan pursued his education across esteemed institutions, earning a BEng in Computer Science and Technology from Qufu Normal University in 2006 and completing a PhD in Computer Science from INSA de Strasbourg and Université de Strasbourg, France, in 2014.

Research Focus:

His research revolves around Building Information Model, Knowledge Graph, Explainable Artificial Intelligence, and Predictive Maintenance. Wei’s work extends to inventive problem-solving methodologies and applications in industrial engineering design.

Professional Journey:

Wei Yan’s professional journey encompasses roles as a Postdoctoral Researcher at Université de Claude Bernard Lyon 1, France, and a Lecturer at Shandong Normal University, China. He also taught at ECAM Strasbourg, France, showcasing a diverse and international experience.

Publications Top Noted & Contributions:

Wei Yan has made significant contributions to his field with multiple peer-reviewed journal articles and conference proceedings. His publications cover topics such as ontology-based inventive problem solving, TRIZ methodology, and the application of knowledge graphs in predictive maintenance.

Title: Intelligent Predictive Maintenance of Hydraulic Systems Based on Virtual Knowledge Graph

  • Authors: Yan, W.; Shi, Y.; Ji, Z.; Wang, W.; Cao, Q.
  • Journal: Engineering Applications of Artificial Intelligence, 2023, Volume 126, Page 106798
  • Abstract: The abstract is not provided, as indicated by “This link is disabled.”

Title: A Frequency-Tunable Fractional-N PLL for High-Energy Physics Experiments

  • Authors: Gong, Y.; Yan, W.; Luo, M.; Wang, C.; Zhang, L.
  • Journal: IEEE Transactions on Nuclear Science, 2023, Volume 70(4), Pages 722–729
  • Abstract: The abstract is not provided, as indicated by “This link is disabled.”
  • Citations: 1 citation

Title: Bearing Fault Diagnosis and Interpretation Based on 2D Images and Convolutional Neural Network

  • Authors: Tian, Z.; Zhang, X.; Yan, W.; Wang, J.
  • Conference: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Pages 2155–2162
  • Abstract: The abstract is not provided, as indicated by “This link is disabled.”
  • Citations: 0 citations

Title: Mechanical Fault Prediction Based on Event Knowledge Graph

  • Authors: He, L.; Zhang, L.; Yan, W.
  • Conference: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K – Proceedings, 2023, Volume 2, Pages 164–173
  • Abstract: The abstract is not provided, as indicated by “This link is disabled.”
  • Citations: 0 citations

Title: A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering Design

  • Authors: Yan, W.; Zanni-Merk, C.; Cavallucci, D.; Zhang, L.; Ji, Z.
  • Journal: Information (Switzerland), 2022, Volume 13(3), Page 143
  • Abstract: The abstract is not provided, as indicated by “This link is disabled.”

Marlon Wesley Machado Cunico | Advanced Manufacturing | Best Researcher Award

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🌟Prof Dr. Marlon Wesley Machado Cunico, Advanced Manufacturing,  Best Researcher Award🏆

 professor at Zirclab Medical Devices, Brazil

Professional Profiles:

Bio Summary:

Dr. Marlon Wesley Machado Cunico is a Brazilian innovator and engineering expert born on May 28, 1984. With a diverse professional journey spanning various countries, he has excelled in roles ranging from project management to executive leadership. Fluent in English and French, Marlon is recognized for his expertise in innovation, technology, and mechanical design.

Education:

Post-Doctorate:

Mechanical Engineering – Mechanical Design – University of São Paulo (USP) – 2018 (partial time in the USA)

Mechanical Engineering – Mechanical Design – University of São Paulo (USP) – 2016 (partial time in France)

Doctorate in Engineering: Mechanical Design – University of São Paulo (USP) – 2013

Master in Engineering: Material and Manufacturing Engineering – UTFPR – 2009

Graduation: Mechanical Engineering – UTFPR – 2006

Professional Training: Technician in Industrial Mechanics – Manufacturing – UTFPR – 2001

Research Focus:

Marlon’s research has primarily centered around mechanical design, engineering, and manufacturing. His extensive expertise includes additive manufacturing, finite element analysis, optimization, and advanced 3D modeling. Throughout his academic and professional journey, he has contributed significantly to the fields of technology and innovation.

Professional Journey:

Marlon has accumulated over 13 years of experience as a project manager, product owner, and human resource manager. His professional journey spans diverse industries, including white goods, major appliances, small appliances, automotive, and machinery. With a keen focus on international projects, he has successfully managed innovation, technology, and product development.

Honors & Awards:

2013/14: Emerald Engineering Outstanding Doctoral Research Awards

2008: Outstanding Consultant – CNH

2023: 1st place and 3rd place of Nationals for BRICS Young Innovator Award

Publications Top Noted & Contributions:

Marlon is a prolific author with several published books and contributions to scientific research:

  • Books:
    • “3D Printers, The New Productivity Way” (2015)
    • “Practical Guide for Experimental Analysis of Vibration” (2019)
    • “3D Printers and Additive Manufacturing: The Rise of the Industry 4.0” (2019)
    • “Make It Stunning: A Concise Guide to Finish 3D Printing Objects” (2020)
    • “How to Use Advanced Finishing Techniques to Increase Your Value and Multiply Your Profit by 20” (2020)
    • “The Agile Creativity: Be More Productive, Innovative, and Creative” (2021)

Planejamento Fatorial: Uma Ferramenta Estatística Valiosa para a Definição de Parâmetros Experimentais Empregados na Pesquisa Científica.

  • Authors: MWM Cunico, MM Cunico, OG Miguel, SF Zawadzki, P Peralta-Zamora, …
  • Journal: Visão Acadêmica
  • Volume and Issue: 9 (1)
  • Year: 2008
  • Cited By: 71

Impressoras 3D: O Novo Meio Produtivo

  • Author: MWM Cunico
  • Publisher: Concep3d Pesquisas Científicas
  • Year: 2015
  • Cited By: 45

Development of New Rapid Prototyping Process

  • Authors: MWM Cunico, CMG da Silva Cruz, MM Cunico, N Volpato
  • Journal: Rapid Prototyping Journal
  • Volume and Issue: 17 (2)
  • Pages: 138-147
  • Year: 2011
  • Cited By: 29

Investigation of Additive Manufacturing Surface Smoothing Process

  • Authors: MWM Cunico, MM Cunico, PM Cavalheiro, J de Carvalho
  • Journal: Rapid Prototyping Journal
  • Volume and Issue: 23 (1)
  • Pages: 201-208
  • Year: 2017
  • Cited By: 23

Development and Characterization of 3D Printing Finishing Process Applying Recycled Plastic Waste

  • Authors: MWM Cunico, DA Kai, PM Cavalheiro, J de Carvalho
  • Journal: Virtual and Physical Prototyping
  • Volume and Issue: 14 (1)
  • Pages: 37-52

Author Metrics:

Patents:

  • Holds several patents related to 3D printing, object generation, and surface treatment.

Citations: 136 citations by 118 documents

Documents: 28

h-index: 8

Research Timeline:

2001: Completed Technician in Industrial Mechanics

2006: Graduated in Mechanical Engineering

2009: Master’s degree in Material and Manufacturing Engineering

2013: Doctorate in Engineering – Mechanical Design

2016: Post-Doctorate in Mechanical Engineering – Mechanical Design (France)

2018: Post-Doctorate in Mechanical Engineering – Mechanical Design (USA)

2020 – Present: CEO at Zirconium Medical Device

2021 – 2022: Senior Mechanical Engineer / Project Manager at Senzo Health

2017 – 2018: CTO at Rebartek

ch. venkata Krishna Reddy | Electrical Engineering | Best Researcher Award

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🌟Dr. ch. venkata Krishna Reddy, Electrical Engineering, Best Researcher Award 🌟

chaitanya Bharathi Institute of Technology, India

Professional Profiles:

Bio Summary:

Dr. Ch. Venkata Krishna Reddy is an accomplished professional in the field of Power Systems, holding a Ph.D. in the same discipline from Jawaharlal Nehru Technological University, Hyderabad. As an Assistant Professor in the Department of Electrical and Electronics Engineering at Chaitanya Bharathi Institute of Technology, Hyderabad, he has made significant contributions to the academic and research community.

Education:

  • Ph.D. in Power Systems, Jawaharlal Nehru Technological University, Hyderabad.

Research Focus:

Dr. Reddy’s primary research interests lie in Power Systems and Renewable Energy Systems. His dedicated efforts have resulted in numerous publications and conference presentations.

Professional Journey:

Currently serving as an Assistant Professor in the Department of EEE at Chaitanya Bharathi Institute of Technology, Hyderabad, Dr. Reddy has showcased a commitment to advancing knowledge in his field.

Honors & Awards:

His outstanding contributions have been acknowledged with various honors and awards, demonstrating his excellence in the academic and research domains.

Publications Top Noted & Contributions:

Dr. Reddy has an impressive record of publications, with research featured in 29 international journals, 13 international conferences, and 4 national conferences. His work has significantly contributed to the body of knowledge in Power Systems and Renewable Energy.

Title: Multi-Objective Optimal Power Flow Solution Using a Non-Dominated Sorting Hybrid Fruit Fly-Based Artificial Bee Colony

  • Cited By: 14
  • Year: Not specified

Title: Entropy-based Single Image Dehazing with Refined Transmission Using Holistic Edges

  • Authors: TRV Lakshmi, CVK Reddy, K Padmavathi, K Swaraja, K Meenakshi
  • Journal: Multimedia Tools and Applications
  • Volume: 81 (14)
  • Pages: 20229-20253
  • Cited By: 5
  • Year: 2022

Title: Object Classification Using SIFT Algorithm and Transformation Techniques

  • Authors: TR Vijaya Lakshmi, C Venkata Krishna Reddy
  • Book: Cognitive Informatics and Soft Computing: Proceedings of CISC 2017
  • Pages: 403-408
  • Cited By: 5
  • Year: 2019

Title: Classification of Multi-spectral Data with Fine-tuning Variants of Representative Models

  • Authors: TRV Lakshmi, CVK Reddy, P Kora, K Swaraja, K Meenakshi, CU Kumari
  • Journal: Multimedia Tools and Applications
  • Pages: 1-23
  • Cited By: 2
  • Year: 2023

Title: Classification of Skin Lesions by Incorporating Drop-Block and Batch Normalization Layers in Representative CNN Models

  • Authors: TRV Lakshmi, CV Krishna Reddy
  • Journal: Arabian Journal for Science and Engineering
  • Pages: 1-14

Author Metrics:

Dr. Reddy’s scholarly impact is evident through his author metrics, reflecting the influence of his work in the academic community.

All (Cumulative) Metrics:

  • Total Citations: 34
  • h-index: 3
  • i10-index: 1

Metrics Since 2019:

  • Citations Since 2019: 30
  • h-index Since 2019: 3
  • i10-index Since 2019: 1

Research Timeline:

  • Ph.D. Completion: Jawaharlal Nehru Technological University, Hyderabad.
  • Present: Assistant Professor, Department of EEE, Chaitanya Bharathi Institute of Technology, Hyderabad.

This brief overview encapsulates Dr. Ch. Venkata Krishna Reddy’s academic journey, research focus, and notable achievements in the realm of Power Systems and Renewable Energy.