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.

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.”