Anna Zelenaya | Computer-aided materials | Best Researcher Award

🌟Dr. Anna Zelenaya, Computer-aided materials, Best Researcher Award🏆

Doctorate at The organization name: Institute of Physical Materials Science of Siberian Branch of Russian Academy of Sciences, Russia

Dr. Zelenaya Anna Eduardovna is a senior research fellow with a Ph.D. at the Institute of Physical Materials Science of the Siberian Branch of the Russian Academy of Sciences in Ulan-Ude. Her research primarily focuses on computer simulation of phase diagrams of multicomponent systems to develop new materials with predictable properties. With over two decades of experience, she has made significant contributions to the field through her publications, patents, and participation in scientific projects.

Author Metrics

Scopus Profile

ORCID Profile

Throughout her career, Dr. Zelenaya has authored 45 publications indexed in international databases. She has also obtained 2 patents, demonstrating her innovative contributions to materials science. Additionally, she has participated in and led 11 scientific projects, showcasing her expertise and leadership in the field.

  • Citations: 113 citations from 64 documents.
  • Documents: Zelenaya A. E. has 45 documents published.
  • h-index: The h-index, a measure of productivity and citation impact, is 6 for Zelenaya A. E.

Education

Dr. Zelenaya completed her graduate studies at the Department of Physical Problems, Buryat Scientific Center (Siberian Branch of the Russian Academy of Sciences), where she earned her Ph.D. She also holds a degree in Physics and Mathematics from Buryat State University named after D. Banzarov.

Research Focus

Dr. Zelenaya’s research focuses on computer simulation of phase diagrams of multicomponent systems. She aims to develop new materials with predictable properties by understanding phase equilibria and crystallization stages for various compositions. Her work has applications in glass development, building materials, refractory-slag interactions, and understanding the crystallization processes of igneous rocks.

Professional Journey

Since 2001, Dr. Zelenaya has been a senior research fellow at the Institute of Physical Materials Science of the Siberian Branch of the Russian Academy of Sciences. Over the years, she has led and participated in various scientific projects, contributing to the advancement of materials science. Her expertise in computer modeling of phase diagrams has earned her recognition in the field.

Honors & Awards

Dr. Zelenaya has received recognition for her contributions to materials science, although specific honors and awards are not mentioned in the provided information.

Publications Noted & Contributions

Dr. Zelenaya’s notable publications include studies on various systems such as LiF-NaF-CaF2-LaF3, ZrO2-SiO2-Al2O3, CaO-MgO-Al2O3, Fe-Ni-Co-Cu, Co-Cu-CoS-Cu2S, titanium-aluminum-silicon-zirconium oxides, Cu-Ni-Mn, ZrO2-SiO2-Al2O3, and Ag-Au-Sb. Her research contributions include developing computer models of phase diagrams, resolving experimental data contradictions, and predicting phase equilibria.

The Sm<sub>2</sub>S<sub>3-X</sub>-SmS-Sm<sub>2</sub>O<sub>2</sub>S refractory system: thermal analysis, phase diagram, and properties of the phases

  • Journal: Journal of Thermal Analysis and Calorimetry
  • Year: 2024
  • DOI: 10.1007/S10973-023-12792-Z
  • Contributors: Yurev, Ilya Olegovich; Aleksandrovsky, Aleksandr Sergeevich; Kamaev, Dmitriy Nikolaevich; Polkovnikov, Aleksei Aleksandrovich; Grigorchenko, Viktoriya Maksimovna; Yarovenko, Aleksandr Aleksandrovich; Zelenaya, Anna Eduardovna; Parfenova, Mariya Dmitriyevna; Andreev, Oleg Valeryevich

Creating a digital passport based on the spatial computer model of the isobaric phase diagram for the Ag-Au-Sb system

  • Journal: Materials Science and Engineering: B
  • Year: 2024-06
  • DOI: 10.1016/j.mseb.2024.117365
  • Contributors: Anna Zelenaya; Vera Vorob’eva; Vasily Lutsyk; Maria Parfenova

Correction of the 3D Computer Model of the Phase Diagram for the LiCl-PrCl<sub>3</sub>-KCl System Using Thermoanalytical Curves

  • Journal: Russian Journal of Inorganic Chemistry
  • Year: 2023
  • DOI: 10.1134/S0036023623601174
  • Contributors: Vorob’eva, V. P.; Zelenaya, A. E.; Lutsyk, V. I.; Parfenova, M. D.; Baldanov, V. D.

Spatial Computer Model of the UCl<sub>3</sub>-NaCl-MgCl<sub>2</sub>-PuCl<sub>3</sub> Isobaric Phase Diagram

  • Journal: Russian Journal of Inorganic Chemistry
  • Year: 2023
  • DOI: 10.1134/S0036023623602039
  • Contributors: Vorob’eva, V. P.; Zelenaya, A. E.; Lutsyk, V. I.; Lamueva, M. V.

State Diagram of the ZrO<sub>2</sub>-SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> System with Visualization by Computer 3D-Model and Calculation Using the NUCLEA Database

  • Journal: Doklady Physical Chemistry
  • Year: 2023
  • DOI: 10.1134/S0012501623600079
  • Contributors: Vorob’eva, V. P.; Zelenaya, A. E.; Lutsyk, V. I.; Vorozhtcov, V. A.; Almjashev, V. I.; Stolyarova, V. L.

Research Timeline

Dr. Zelenaya’s research timeline spans over two decades, starting from her graduate studies in the late 1990s to her current position as a senior research fellow. Over this period, she has continuously contributed to the field through her research, publications, and participation in scientific projects.

Collaborations and Projects

Dr. Zelenaya has been involved in various scientific projects, including the modernization of technological processes in nickel, cobalt, and copper production. She has also collaborated on projects focusing on the development of advanced materials for nuclear reactor fuel rods. These collaborations demonstrate her interdisciplinary approach and her ability to work on diverse scientific endeavors.

Devendra Yadav | Computer Science | Industry Innovation Recognition Award

🌟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

🌟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.”