Mrs. Jagyanseni Panda | Multimedia System | Women Researcher Award

Mrs. Jagyanseni Panda | Multimedia System | Women Researcher Award

Mrs. Jagyanseni Panda, National Institute of Technology Rourkela, India

Mrs. Jagyanseni Panda is a dedicated researcher and educator currently pursuing her Ph.D. at NIT Rourkela, with her thesis focused on advanced imaging techniques. She holds an M.Tech and B.Tech in Electronics and Telecommunications from Silicon Institute of Technology and BPUT, respectively, and a Diploma in the same field. Since November 2012, Mrs. Panda has served as an Assistant Professor at SOA University, BBSR, following her tenure as a Full-time Lecturer at Techno School, Bhubaneswar. Her expertise includes programming languages like C, C++, and Python, as well as tools such as MATLAB and PL/SQL. She teaches a range of subjects including Digital Electronics, Computer Communication Networks, and Microwave Engineering. Her research interests cover Image Restoration, Enhancement, Classification, Satellite Imaging, and Super-Resolution, with notable contributions in image interpolation and recognition.

šŸŒĀ Professional Profile

Scopus

Suitability for the Women Researcher Award

  • Academic Excellence: Mrs. Panda has demonstrated exceptional academic performance throughout her educational journey. Her achievements in both her M.Tech and Ph.D. programs highlight her commitment and excellence in research and education.
  • Significant Research Contributions: Her research in image processing, particularly her work on Odia character recognition, showcases her ability to address complex problems with innovative solutions. Her published papers further illustrate her contributions to the field.
  • Impactful Publications: Her research has been recognized in reputable journals and conferences, reflecting her active engagement and influence in the academic community.
  • Dedication to Education: As an Assistant Professor, Mrs. Panda has made significant contributions to teaching and curriculum development, indicating her dedication to fostering the next generation of engineers and researchers.
  • Advancement of Women in STEM: Mrs. Pandaā€™s achievements and professional trajectory serve as an inspiration to other women in STEM fields. Her success in a traditionally male-dominated area of research highlights her role as a role model and advocate for women in academia and technology.

Educational Background:

Mrs. Jagyanseni Panda is pursuing her Ph.D. at NIT Rourkela, with her thesis submitted in July 2024. She holds an M.Tech in Electronics and Telecom. from Silicon Institute of Technology, Bhubaneswar, and a B.Tech in the same field from BPUT, Orissa. Her academic journey also includes a Diploma in Electronics and Telecom. and Matriculation with strong performance. šŸŽ“

Professional Experience:

Mrs. Panda has been an Assistant Professor at SOA University, BBSR since November 2012. She previously served as a Full-time Lecturer at Techno School, Bhubaneswar. šŸ“š

Subjects Taught:

Her teaching portfolio includes MATLAB for Engineers, Digital Electronics, Introduction to Electronics, Computer Communication Network, Signal and System, Microwave Engineering, and Undergraduate Project Engineering Management (UPEM). šŸ«

Research Interests:

Mrs. Panda’s research focuses on Image Restoration, Enhancement, Classification, Satellite Imaging, and Super-Resolution. šŸ“ø

Published Papers:

She has contributed to several publications, including works on image interpolation, enhancement techniques, and isolated digit recognition. šŸ“°

Publication Top Notes:

  • Title: An Efficient Pre-processing Technique Using HOLF for 2D Image Interpolation
    • Year: 2022
    • Citations: 2
  • Title: A Novel Image Upscaling Method Using High Order Error Sharpening
    • Year: 2022
    • Citations: 1
  • Title: An Improved DCT Interpolation Using Bilateral Filter
    • Year: 2021
    • Citations: 2
  • Title: An Efficient Image Interpolation Using Edge-Error Based Sharpening
    • Year: 2020
    • Citations: 4
  • Title: A Novel Approach of Image Interpolation Using DST
    • Year: 2019
    • Citations: 7

 

 

Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award

Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher AwardĀ 

Dr. Yunfei Chen, Central south university, China

Yunfei Chen is a passionate research scholar specializing in multimedia hashing retrieval. He received his B.S. degree in Software Engineering from Henan University and his M.S. degree in Software Engineering from Harbin Engineering University. Currently, he is pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering at Central South University in Changsha, China. His research primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.Yunfei’s academic journey is marked by notable achievements. He has published significant papers in prestigious journals and conferences, including “Supervised Semantic-Embedded Hashing for Multimedia Retrieval” in Knowledge-Based Systems, and “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval” presented at the International Conference on Neural Information Processing.

 

šŸŒ Professional Profile:

SCOPUS

Education and Experience

šŸŽ“ Yunfei Chen holds a B.S. degree in Software Engineering from Henan University and an M.S. degree in Software Engineering from Harbin Engineering University. He is currently pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering, Central South University in Changsha, China. His research interests are Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.

Academic Achievements

šŸ“š Yunfei has made significant contributions to the fields of multimedia retrieval and semantic hashing. His noteworthy publications include:

  1. šŸ“„ “Supervised Semantic-Embedded Hashing for Multimedia Retrieval.” Knowledge-Based Systems.
  2. šŸ“„ “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 318-330.
  3. šŸ“„ “S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 252-269.

Research, Innovations, and Extension

šŸ” Research Projects: 1
šŸ“ˆ Journals Published in SCI/SCIE Index: 1
šŸ“– Journals Published in Scopus/Web of Science/PubMed: 1
šŸ”¬ Areas of Research: Multimedia Hashing Retrieval
šŸ”§ Patents Published and Under Process: 3
šŸ“ Editorial Appointments in Journals/Conferences: 3

Contributions to Research & Development

šŸ”¬ Yunfei Chen has made substantial contributions to Research & Development, Innovations, and Extension Activities within his field. His work primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition. Through his research, Yunfei has developed innovative methods and frameworks that enhance the efficiency and effectiveness of multimedia retrieval systems.

šŸŒŸ One of his notable contributions is the development of Supervised Semantic-Embedded Hashing for Multimedia Retrieval, which has been recognized in the Knowledge-Based Systems journal. This method integrates semantic information into the hashing process, improving retrieval accuracy and speed.

šŸ’” Additionally, his work on Unsupervised Joint-Semantics Autoencoder Hashing, presented at the International Conference on Neural Information Processing, offers a novel approach to multimedia retrieval that does not require labeled data, making it highly adaptable and scalable.

Publication Top Notes:

Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval

S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network