Naresh Kamble | Cyber Security | Best Researcher Award

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Mr. Naresh Kamble | Cyber Security | Best Researcher Award

D.Y.Patil Agriculture & Technical University, Talsande, Kolhapur, India

Naresh Kamble is an accomplished Assistant Professor at D.Y. Patil Agriculture & Technical University, Kolhapur, with extensive experience in teaching, research, and academic administration. He is pursuing his Ph.D. in Cyber Security and Machine Learning from VIT University, Bhopal, and has a strong track record of publications in reputed journals. Naresh has played a pivotal role in organizing workshops and providing consultancy for NBA accreditation, contributing significantly to the academic growth and development of various institutions. His research interests lie in the domains of cyber security, machine learning, and data security, with a focus on innovative and practical applications.

Professional profile

Education📚

Bachelor of Information Technology, Shivaji University, Kolhapur, 2010

M.E. in Computer Network, SPPU University, Pune, 2016

Ph.D. in Cyber Security and Machine Learning (Pursuing), VIT University, Bhopal, 2019-Present

  • Completed coursework with 8.00 CGPA and successfully completed the comprehensive examination.
Professional Experience🏛️

Naresh Kamble is a seasoned academic professional with over 13 years of experience in the field of Computer Science and Engineering. Currently, he serves as an Assistant Professor in the CSE (AR-VR & Multimedia) Department at D.Y. Patil Agriculture & Technical University, Talsande, Kolhapur, since May 2024. His academic journey includes significant roles such as:

  • Assistant Professor in the CSE (AIML & DS) Department at Kolhapur Institute of Technology (Feb 2023 – May 2024)
  • Lecturer in the CSE Department at Sanjay Ghodawat Polytechnic, Atigre (June 2014 – Feb 2023)
  • Assistant Professor in the CSE Department at Sanjay Ghodawat Institute (Dec 2011 – May 2014)
  • Lecturer in the IT Department at Sanjay Ghodawat Institute (Aug 2011 – Dec 2011)
  • Head of Department in the CSE Department at Vithal Patil Polytechnic, Sangli (July 2010 – June 2011)
  • Lecturer in the CSE Department at Govt. Polytechnic, Tasgaon (2010-2011)

Additionally, he has held significant administrative roles such as Central IT in-charge, NAAC team member, Central AKASH Coordinator, Central Feedback Coordinator, and Central NBA Coordinator. He has been actively involved in organizing workshops and providing consultancy for NBA accreditation, with several institutions achieving successful accreditation under his guidance.

Research Interest🌐

Naresh Kamble’s research primarily focuses on:

  • Cyber Security
  • Machine Learning
  • Image Processing
  • Data Security
  • Artificial Intelligence
  • Blockchain Technology

His ongoing Ph.D. research revolves around detecting phishing attacks using NLP and machine learning, for which he has received a copyright from the Government of India.

Author Metrics

Naresh Kamble has contributed to the academic community through various publications. Some of his notable works include:

  1. A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement (Earth Science Informatics, 2023) – 5 Citations
  2. Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records (International Journal of Intelligent Systems and Applications in Engineering, 2023) – 2 Citations
  3. Content-Based Image Recovery System with the Aid of Median Binary Design Pattern (Traitement du Signal, 2023) – 2 Citations
  4. Phishing Attack Detection using NLP and Machine Learning (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)
  5. BHAS: A Blockchain-Based Healthcare Analytic System for Quality of Service Concerns in PHR (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)
Publication📜

An attainment tool for measuring course outcomes and program outcomes

  • SS Dandin, R Jinde, N Kamble
  • International Journal for Advance Research and Development, 3(3), 24-27, 2018
  • 4 Citations

Hybrid optimization enabled squeeze net for phishing attack detection

  • N Kamble, N Mishra
  • Computers & Security, 144, 103901, 2024

Securing Cyberspace: Unveiling Phishing Attacks Through Deep Neural Networks for Enhanced Detection

  • N Kamble, N Mishra
  • 2024 International Conference on Advancements in Smart, Secure and Sustainable Computing, 2024

BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns

  • S Rokade, N Mishra, N Kamble
  • Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Phishing Attack Detection using NLP and Machine Learning

  • N Kamble, N Mishra, S Rokade
  • Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Vijayakumar Varadarajan | Computer Science | Best Researcher Award

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Prof. Dr. Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Dean International Division of Ajeenkya D Y Patil University, India

Prof. Dr. Vijayakumar Varadarajan holds a distinguished academic background, beginning with his undergraduate studies in engineering, where he achieved the Anna Award for First Rank at Vellore Engineering College, University of Madras (2000) 🎓🥇. He further excelled academically by securing a 100% result at SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📈🏆. His commitment to excellence continued through his Master’s studies, culminating in a PhD that propelled him into a career of impactful research and innovation. His academic journey reflects a blend of rigorous scholarship and outstanding achievements, setting a strong foundation for his extensive contributions to the field. 📚✨

Professional profile

Education📚

Prof. Dr. Vijayakumar Varadarajan holds a distinguished academic background, beginning with his undergraduate studies in engineering, where he achieved the Anna Award for First Rank at Vellore Engineering College, University of Madras (2000) 🎓🥇. He further excelled academically by securing a 100% result at SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📈🏆. His commitment to excellence continued through his Master’s studies, culminating in a PhD that propelled him into a career of impactful research and innovation. His academic journey reflects a blend of rigorous scholarship and outstanding achievements, setting a strong foundation for his extensive contributions to the field. 📚✨

Professional Experience🏛️

Prof. Dr. Vijayakumar Varadarajan boasts an impressive professional career spanning over two decades, marked by significant contributions in both academia and industry. 🌟 With innovative managerial experience at various national and international institutions, he has skillfully advanced and executed strategies to realize organizational visions. His roles have included overseeing change management and facilitating performance improvements, which have strengthened teamwork and collaboration. 🌍🤝 Notably, he has been instrumental in mentoring through prestigious fellowships, such as those awarded to researchers from Universite Nangui Abrogoua and Landmark University by FICCI/DST India. 🌐🎓 His career also highlights his dedication to education, with roles that emphasize internal and external collaboration, grant management, and organizational development, all while striving to position organizations among the global elite. 💼📈

Research Interest🌐

Prof. Dr. Vijayakumar Varadarajan is deeply engaged in cutting-edge research within the realm of computer science and engineering. 💻🔬 His work focuses on advancing technologies and strategies in cloud computing ☁️, cybersecurity 🔒, and innovative managerial practices. His research interests also encompass the design and implementation of long-term strategies to enhance organizational effectiveness and drive impactful change. 🌟📈 With a commitment to fostering global collaborations, his research is geared towards leveraging expertise and resources to achieve top-tier results and contribute to the advancement of the field. 🌍🤝

Awards and Honors🏆

Prof. Dr. Vijayakumar Varadarajan has received numerous accolades throughout his distinguished career, underscoring his excellence and contributions to the field. 🏆✨ Among his notable honors are the CHARUSAT Research Paper Award (2023) 🎓🏅 and the Best Guest Editor Award from IJISC (2021) 📘🥇. His achievements in environmental and technological impact have been recognized with the Silver Award for Green Impact from UNSW, Australia (2020) 🌱🥈 and the Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️. Additionally, he has been celebrated for his contributions to cybersecurity literature 📘🔒 and honored as a European Alliance for Innovation Fellow (2019) 🤝🇪🇺. His early accomplishments include the Anna Award for First Rank at Vellore Engineering College (2000) 🎓🥇 and a series of awards at Mahindra Satyam and FORD India, highlighting his consistent dedication and excellence in his field. 👏🚗

Research skill🔬

Prof. Dr. Vijayakumar Varadarajan possesses exceptional research skills that have significantly impacted the fields of computer science and engineering. 🔬💻 His expertise includes advanced cloud computing ☁️, robust cybersecurity 🔒, and strategic management practices, showcasing his ability to drive innovation and tackle complex challenges. He excels in designing and implementing research strategies that promote organizational growth and technological advancements 🌟📈. His skills also extend to managing high-profile research projects, fostering international collaborations 🌍🤝, and ensuring transparency and efficiency in grant management 💼. With a keen focus on both theoretical and applied aspects of research, Dr. Varadarajan continues to contribute valuable insights and solutions to his field. 📊🔍

Achievements🏅
  • CHARUSAT Research Paper Award (2023) 🏆📜
  • Best Guest Editor Award from IJISC (2021) 🥇📘
  • LinkedIn Badge for Our K17 Green Team, UNSW, Australia (2020) 🌱🦘
  • Silver Award, Green Impact 2020, UNSW, Australia 🥈🌏
  • Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️
  • Appreciation for Cybersecurity Book in New K-12 Online Learning E-Book Collection, IGI Global (2020) 📘🔒
  • European Alliance for Innovation Fellow (2019) 🤝🇪🇺
  • Research Award, VIT Chennai (2014-2019) 🏅🎓
  • Best Faculty Award, VIT Chennai (2016) 🌟🏫
  • Outstanding Contribution Award, Design for Scientific Renaissance, UK (2018-2019) 🏆🇬🇧
  • Anna Award – First Rank, Vellore Engineering College, University of Madras (2000) 🎓🥇
  • 100% Result Achievement, SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📊🏆
  • Bravo Award, Mahindra Satyam (2009) 👏🏆
  • Pat on Back Award, Mahindra Satyam (2010) 👏👏
  • Vendor Excellence Award, FORD India (2011) 🏅🚗
  • Honours Award, Department of Technical Education Diploma 🎖️📜
  • Centum in Mathematics, Secondary School Leaving Certificate 📈📊
Projects🛠️
  • Post Doctoral Inbound Fellowship for Mr. Yaya SORO 🌍🎓
    • Institution: Université Nangui Abrogoua
    • Sponsorship: FICCI/DST India
  • CV RAMAN Research Inbound Fellowship for Mr. Ikponmwosa Owen Evbuomwan 🌍🔬
    • Institution: Landmark University, Nigeria
    • Sponsorship: FICCI/DST India
  • CV RAMAN Research Inbound Fellowship for Mr. Ahmed Abbi Abdille 🌍🧪
    • Institution: Somalia
    • Sponsorship: FICCI/DST India
  • CV RAMAN Research Inbound Fellowship for Mr. Coulibaly Hermann 🌍📚
    • Institution: Université Nangui Abrogoua, Ivory Coast
    • Sponsorship: FICCI/DST India
  • Certified for Marathon, Run for Vivek and Run with Vivekananda, Ferguson College, Pune (2023) 🏃‍♂️🏅
Publication📜
  • “A study on medical Internet of Things and Big Data in personalized healthcare system”
    • Authors: V Jagadeeswari, V Subramaniyaswamy, R Logesh, V Vijayakumar
    • Journal: Health Information Science and Systems
    • Year: 2018
    • Citations: 343
    • Volume & Issue: 6 (1), 14
    • Emojis: 🏥📊🔍
  • “Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system”
    • Authors: M Poongodi, A Sharma, V Vijayakumar, V Bhardwaj, AP Sharma, R Iqbal, …
    • Journal: Computers & Electrical Engineering
    • Year: 2020
    • Citations: 311
    • Volume: 81, 106527
    • Emojis: 💹🔗📉
  • “Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires”
    • Authors: S Sudhakar, V Vijayakumar, CS Kumar, V Priya, L Ravi, …
    • Journal: Computer Communications
    • Year: 2020
    • Citations: 257
    • Volume & Pages: 149, 1-16
    • Emojis: 🚁🔥🌲
  • “Random forest bagging and x‐means clustered antipattern detection from SQL query log for accessing secure mobile data”
    • Authors: RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, …
    • Journal: Wireless Communications and Mobile Computing
    • Year: 2021
    • Citations: 222
    • Volume & Article: 2021 (1), 2730246
    • Emojis: 🔍📊🔐
  • “Genetic algorithm based demand side management for smart grid”
    • Authors: C Bharathi, D Rekha, V Vijayakumar
    • Journal: Wireless Personal Communications
    • Year: 2017
    • Citations: 215
    • Volume & Pages: 93, 481-502
    • Emojis: ⚙️🌐💡
  • “Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics”
    • Authors: M Poongodi, V Vijayakumar, F Al-Turjman, M Hamdi, M Ma
    • Journal: IEEE Access
    • Year: 2019
    • Citations: 206
    • Volume & Pages: 7, 158481-158491
    • Emojis: 🚨🔒📊
  • “New York City taxi trip duration prediction using MLP and XGBoost”
    • Authors: M Poongodi, M Malviya, C Kumar, M Hamdi, V Vijayakumar, J Nebhen, …
    • Journal: International Journal of System Assurance Engineering and Management
    • Year: 2022
    • Citations: 203
    • Volume & Pages: 1-12
    • Emojis: 🚖⏱️📊
  • “5G based Blockchain network for authentic and ethical keyword search engine”
    • Authors: M Poongodi, M Malviya, M Hamdi, V Vijayakumar, MA Mohammed, …
    • Journal: IET Communications
    • Year: 2022
    • Citations: 195
    • Volume & Pages: 16 (5), 442-448
    • Emojis: 📱🔗🔍
  • “Random forest for big data classification in the internet of things using optimal features”
    • Authors: SK Lakshmanaprabu, K Shankar, M Ilayaraja, AW Nasir, V Vijayakumar, …
    • Journal: International Journal of Machine Learning and Cybernetics
    • Year: 2019
    • Citations: 183
    • Volume & Pages: 10 (10), 2609-2618
    • Emojis: 📊🌐🔍
  • “Bitcoin price prediction using ARIMA model”
    • Authors: M Poongodi, V Vijayakumar, N Chilamkurti
    • Journal: International Journal of Internet Technology and Secured Transactions
    • Year: 2020
    • Citations: 177
    • Volume & Issue: 10 (4)
    • Emojis: 💵📉🔮
  • “The state of the art of deep learning models in medical science and their challenges”
    • Authors: C Bhatt, I Kumar, V Vijayakumar, KU Singh, A Kumar
    • Journal: Multimedia Systems
    • Year: 2021
    • Citations: 163
    • Volume & Pages: 27 (4), 599-613
    • Emojis: 🧠💉🔍
  • “A personalised movie recommendation system based on collaborative filtering”
    • Authors: V Subramaniyaswamy, R Logesh, M Chandrashekhar, A Challa, …
    • Journal: International Journal of High Performance Computing and Networking
    • Year: 2017
    • Citations: 156
    • Volume & Issue: 10 (1-2)
    • Emojis: 🎬🤝📈

Meiyan Liang | Computer Science | Best Researcher Award

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🌟Assoc Prof Dr. Meiyan Liang, Computer Science, Best Researcher Award 🏆

  •  Associate Professor at Shanxi University, China

Meiyan Liang, PhD, is an accomplished researcher in the field of Instrument Science and Technology, with a focus on Deep Learning and Medical Image Processing. Currently affiliated with the School of Physics and Electronic Engineering at Shanxi University in China, Dr. Liang completed her PhD at the Opto-Electronic College, Beijing Institute of Technology. She has made significant contributions to the development of innovative technologies for the identification and classification of various medical conditions, particularly in cancer diagnosis. Her work spans both theoretical and experimental domains, with a particular emphasis on leveraging neural networks and terahertz imaging techniques. Dr. Liang’s expertise is recognized through numerous awards, patents, and a prolific publication record in prestigious journals.

Author Metrics

Scopus Profile

ORCID Profile

Dr. Liang’s research output is not only extensive but also impactful, as evidenced by her author metrics. She has consistently published in high-impact journals, demonstrating the significance of her work within the scientific community. Additionally, Dr. Liang’s patents highlight her innovative approach to problem-solving and technology development.

  • Citations: 138 citations across 136 documents
  • Documents: Authored 25 documents
  • h-index: 5

Education

Dr. Meiyan Liang obtained her PhD in Instrument Science and Technology from the Opto-Electronic College at Beijing Institute of Technology. Her doctoral research focused on the application of deep learning methodologies in medical image processing, particularly for cancer diagnosis.

Research Focus

Dr. Liang’s research primarily centers around two main areas: Deep Learning and Medical Image Processing. Within these domains, she specializes in utilizing neural networks for the interpretation and analysis of medical images, with a particular emphasis on cancer detection and classification. Her work also involves the integration of advanced imaging techniques, such as terahertz imaging, to develop novel diagnostic tools.

Professional Journey

Following her doctoral studies, Dr. Liang embarked on a professional journey that has seen her become an esteemed researcher in the field of medical imaging. She has held positions at various academic institutions, including her current role at Shanxi University. Throughout her career, Dr. Liang has secured research funding, published extensively, and obtained several patents for her innovative contributions to the field.

Honors & Awards

Dr. Liang’s outstanding contributions to her field have been recognized through numerous honors and awards. Notable accolades include being awarded the “Sanjin talent” by the government of Shanxi Province and receiving the “China Instrument & Control Society Scholarship” from the Chinese instrumentation society.

Research Timeline

Dr. Liang’s research timeline showcases her progression as a researcher and the evolution of her research interests. Starting from her doctoral studies, she has continued to expand her expertise and contribute to advancements in medical imaging technology. Her research timeline reflects a commitment to excellence and a dedication to addressing critical challenges in healthcare through innovative research.

Publications Noted & Contributions

Dr. Liang has made significant contributions to the academic community through her prolific publication record. Her research findings have been published in prestigious journals such as the IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine, and The Visual Computer. These publications cover a wide range of topics, including interpretable inference, whole-slide image prediction, and pathology image restoration.

Title: Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree

  • Authors: Liang, M., Wang, R., Liang, J., Zhang, T., Zhang, C.
  • Journal: IEEE Journal of Biomedical and Health Informatics, 2023, 27(12), pp. 6006–6017
  • Abstract: This paper presents a method for interpretable inference and classification of tissue types in histological colorectal cancer slides using ensembles adaptive boosting prototype tree.

Title: Multi-scale self-attention generative adversarial network for pathology image restoration

  • Authors: Liang, M., Zhang, Q., Wang, G., Liu, H., Zhang, C.
  • Journal: Visual Computer, 2023, 39(9), pp. 4305–4321
  • Abstract: This paper introduces a multi-scale self-attention generative adversarial network for pathology image restoration.
  • Citations: 1

Title: Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network

  • Authors: Liang, M., Chen, Q., Li, B., Jiang, X., Zhang, C.
  • Journal: Computer Methods and Programs in Biomedicine, 2023, 229, 107268
  • Abstract: This paper proposes an interpretable classification method for pathology whole-slide images using an attention-based context-aware graph convolutional neural network.
  • Citations: 6

Title: A novel strategy regarding geometric product for liquids discrimination based on THz reflection spectroscopy

  • Authors: Liu, H., Liu, X., Zhang, Z., Liang, M., Zhang, C.
  • Journal: Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy, 2022, 274, 121104
  • Abstract: This paper proposes a novel strategy for liquids discrimination based on THz reflection spectroscopy using the geometric product.
  • Citations: 1

Title: THz ISAR imaging using GPU-accelerated phase compensated back projection algorithm

  • Authors: Liang, M.-Y., Ren, Z.-Y., Li, G.-H., Zhang, C.-L., Fathy, A.E.
  • Journal: Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, 2022, 41(2), pp. 448–456
  • Abstract: This paper presents THz ISAR imaging using a GPU-accelerated phase-compensated back projection algorithm.
  • Citations: 3

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.”