Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V Veera Raghavulu | Image processing Awards | Best Researcher Award

Dr. V. Veera Raghavulu, born on June 15, 1975, is an esteemed academic with over 21 years of experience in Computer Science and Engineering. His career began in the industry as a Programmer at Javapoint and a Graduate Engineer at APSPDCL before transitioning to academia. He has served as a Lecturer at Alhuda Polutechic and Priyadarshni Engineering College and has been an Assistant Professor at N.B.K.R.I.S.T since 2005. Dr. Raghavulu’s teaching contributions include courses such as FLAT, IT Workshop, and DS Lab. In addition to his teaching roles, he has been involved in student welfare as a Resident Warden and has contributed to academic events as a Paper Presentation Judge for TECHYVHA 2024. He is also a permanent member of the Institution of Engineers (India), underscoring his commitment to the professional community.

Professional Profile:

Orcid

🌟 Academic Background

Dr. V. Veera Raghavulu, born on June 15, 1975, holds an extensive academic and professional background in Computer Science and Engineering. He has dedicated over 21 years to the field, with significant roles spanning from Programmer to Associate Professor.

📚 Professional Experience

Dr. V Veera Raghavulu is an accomplished academic with extensive experience in both industry and education. He began his career as a Programmer at Javapoint (2000-2001) and then served as a Graduate Engineer at APSPDCL (2001-2002). Transitioning to academia, he worked as a Lecturer at Alhuda Polutechic (2003-2005) and Priyadarshni Engineering College (2006-2008). Since 2009, he has been a dedicated Assistant Professor at N.B.K.R.I.S.T, following an earlier role as a Lecturer there (2005-2006). Dr. Raghavulu’s career spans over two decades, reflecting his commitment to education and technical expertise.

🏫 Teaching Contributions

In the academic year 2023-24, Dr. Raghavulu taught various subjects including FLAT, IT Workshop, and DS Lab. His courses have been well-received, with positive feedback from students, and he continues to guide future engineers.

📈 Additional Roles and Responsibilities

Dr. Raghavulu has taken on key roles such as Resident Warden and Co-PO Calculation Incharge, showcasing his commitment to both student welfare and academic administration.

📅 Events and Engagements

He served as a Paper Presentation Judge for TECHYVHA 2024, contributing to the academic community by evaluating emerging research and innovations.

🌐 Professional Affiliations

Dr. Raghavulu is a member of the Institution of Engineers (India) with a permanent membership, reflecting his engagement with professional bodies in his field.

Publication Top Notes:

An Intelligent Moving Object Segmentation Using Hybrid IFCM-CSS Clustering Model
  • Journal: International Journal of Pattern Recognition and Artificial Intelligence
  • Publication Year: 2024

 

 

 

Assist Prof Dr. Rui Zhao | Image Processing | Best Researcher Award

Assist Prof Dr. Rui Zhao | Image Processing | Best Researcher Award

Assist Prof Dr. Rui Zhao, Ningbo University, China

Dr. Rui Zhao is a seasoned researcher with extensive expertise in remote sensing, photogrammetry, and data analysis. Holding a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, Rui’s academic journey has been marked by significant contributions to the field, including the development of innovative remote sensing applications for environmental monitoring. With over six years of industry experience, Rui has led interdisciplinary research projects at esteemed institutions such as Peking University and Meituan Travel Division, driving operational excellence and achieving key performance targets. Rui’s exceptional leadership skills, coupled with a passion for innovation, have earned them prestigious accolades, including the Silver Award of Hubei Patent Award and the Best Paper Award at the International Conference of Intelligent System and Image Processing. Through their dedication to advancing research in anomaly detection and remote sensing technologies, Rui continues to make impactful contributions to the scientific community.

Professional Profile:

Scopus

Orcid

👨‍🎓 Education

  • Ph.D. in Photogrammetry and Remote Sensing, Wuhan University, 2012-2017
  • Bachelor’s in Remote Sensing Science and Technology, Wuhan University, 2008-2012

🔬 Research Experience

  • Ningbo University Lecturer, 2022-Present
  • Peking University Boya PostDoc, 2020-2022
  • Meituan Travel Division Senior Researcher, 2018-2020
  • Huawei 2012 Lab Researcher, 2017-2018

🏆 Awards & Achievements

  • Silver Award of Hubei Patent Award, 2021
  • Best Paper Award in the 4th International Conference of Intelligent System and Image Processing (ICISIP), 2016

🚀 Projects

  • Project Leader for Anomaly Detection in High Spatial-Spectral Resolution Remote Sensing Imagery
  • Project Leader for Anomaly Detection in Hyperspectral Remote Sensing Imagery for Vegetation Monitoring
  • Project Member on Multi-Modal Remote Sensing Data Regularization and on-Orbit Intelligent Fusion Platform

Scopus Metrics:

  • 📝 Publications: 15 documents indexed in Scopus.
  • 📊 Citations: A total of 356 citations for his publications, reflecting the widespread impact and recognition of Dr. Rui Zhao’s research within the academic community.

Publication Top Notes:

  • A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection
    Published in Remote Sensing, 2024.
    Authors: Rui Zhao, Zhiwei Yang, Xiangchao Meng, Feng Shao
  • Multistage Progressive Interactive Fusion Network for Sentinel-2: High Resolution for All Bands
    Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
    Authors: LIU XIN, Xiangchao Meng, Liu Qiang, 陈旭, Rui Zhao, Feng Shao
  • An Encoder–Decoder with a Residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images
    Published in Remote Sensing, 2022-04.
    Authors: Rui Zhao, Shihong Du
  • Spectral-Spatial Residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images
    Published in Remote Sensing, 2022-02.
    Authors: Rui Zhao, Shihong Du
  • GSEAD: Graphical Scoring Estimation for Hyperspectral Anomaly Detection
    Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017.
    Authors: Rui Zhao, Liangpei Zhang