Umaeswari P | Computer Science | Best Researcher Award

Posted on by Forensic Scientist

Dr. Umaeswari P | Computer Science | Best Researcher Award

R.M.K. Engineering College | India

Dr. P. Umaeswari is an accomplished academician and researcher in the field of Computer Science and Engineering with over 18 years of professional experience. Currently serving as an Associate Professor at R.M.K. Engineering College, Chennai, she has made significant contributions to advanced computing and interdisciplinary research. With a strong academic foundation and a deep commitment to educational excellence, she continuously strives to align academic innovation with societal needs.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Dr. P. Umaeswari is a distinguished academician and researcher with over 18 years of rich teaching and research experience in Computer Science and Engineering. Her remarkable trajectory across various reputed institutions highlights her dedication to advancing technical education and research excellence.

She has published 30+ impactful international journal papers, including prestigious outlets like Springer, IEEE Xplore, Elsevier, and UGC CARE journals, demonstrating interdisciplinary depth in IoT, Cloud Computing, Machine Learning, Cybersecurity, and Bioinformatics. Her work on biosensors, privacy in wearable IoT devices, smart agriculture, and AI-based security systems shows a strong alignment with current technological challenges and innovations.

In addition to research papers, Dr. Umaeswari has authored six academic books on topics ranging from Artificial Intelligence to Network Security, enhancing curriculum resources and bridging the academic-industry gap. Furthermore, her professional memberships in organizations such as ISTE, Indian Academic Researchers Association, and Knowledge Research Academy reinforce her credibility and active engagement with the research community.

🎓 Education

Dr. Umaeswari holds a Ph.D. in Computer Science and Engineering from St. Peter’s University (2019), preceded by an M.E. in the same field from the same institution (2011). She also earned an M.Phil. in Computer Science (2009) and an M.C.A. in Computer Applications (2006) from Alagappa University. Her academic journey began with a B.Sc. in Computer Science (2000) from Bhaktavatsalam Memorial College for Women under Madras University. Her consistent pursuit of excellence is evident in her academic accolades and grades.

đź’Ľ Professional Experience

Dr. Umaeswari’s career spans across various esteemed institutions. She is currently an Associate Professor at R.M.K. Engineering College (2022–present). Her earlier roles include Assistant Professorships at S.A. College of Arts & Science, Mar Gregorios College, and Ponnusamy Nadar College, among others. With 18 years and 3 months of teaching experience, her roles have encompassed teaching, mentoring, and research. Her long-standing service in both engineering and arts and science colleges highlights her interdisciplinary flexibility and dedication.

🔬 Research Interests On Computer Science

Dr. Umaeswari’s research interests encompass Machine Learning, IoT, Cloud Computing, Cybersecurity, Bioinformatics, and Smart Systems. Her work aims at integrating theoretical computing concepts with real-world applications such as biosensors, smart agriculture, and secure cloud frameworks. Her multi-domain approach empowers interdisciplinary collaboration and innovation.

🏆 Awards

Dr. Umaeswari has been honored with numerous accolades including the Research Excellence Award (2024) from SIDVI Foundation, the Inspiring Research Associate Award (2023) from Madras Journal Series Pvt Ltd, and two Best Faculty Awards (2022 & 2023) from prominent academic bodies. These recognitions validate her impact in academia and innovation.

đź“š Publications

Dr. Umaeswari has contributed to over 30 international journals and numerous conferences. Her recent impactful works include:

  • Machine Learning Based Predicting the Assisted Living Care Needs
    P. Umaeswari, S.B.G.T. Babu, G.A. Sankaru, G.N.R. Prasad, B.V.S. Thrinath, …
    2022 — 📑 48 citations

  • Development of Programmed Autonomous Electric Heavy Vehicle: An Application of IoT
    P.N. Reddy, P. Umaeswari, L. Natrayan, A. Choudhary
    2023 — 📑 19 citations

  • Statistical Computing and Analysis of Apple Peel Biocarbon and Beta Vulgaris Cellulosic Fiber Vinyl-Based EMI Shielding Composite
    P. Umaeswari, G. Lokesh, A.S.A. Nisha, I.J. Solomon
    2025 — 📑 6 citations

  • IoT-Enabled Energy Conservation in Residential Buildings: Machine Learning Models for Analyzing Annual Solar Power Consumption
    P. Umaeswari, R. Sonia, T.R. Saravanan, N. Poyyamozhi
    2024 — 📑 6 citations

  • Development of Innovative Algorithm for Sound Detection Based on FFT and Goertzel Algorithms
    P. Umaeswari, B.V. Jyothi, G.R.G. King, T. Patil, R. Gukendran
    2024 — 📑 3 citations

  • Internet of Things (IoT) for Remote Earthquake and Fire Detection Monitoring: Linking Safety
    P. Umaeswari, M. Muktasandhu, M. Vignesh, R. Ramyamaranan, …
    2024 — 📑 2 citations

  • Digital Twin-Driven Intrusion Detection for IoT and Cyber-Physical System
    S.K. Ramamoorthy, L. Sindhu, K. Valarmathi, C. Gobinath, P. Umaeswari
    2024 — 📑 1 citation

  • Strategic Management Accounting Practices Between Developed and Emerging Economies Using Machine Learning
    M.S. Almahairah, V.K. Saroha, A. Asokan, P. Umaeswari, J.A. Khan, …
    2022 — 📑 1 citation

  • Local Train Ticketing System Using Web Services
    R. Sheeja, P. Umaeswari, C. Bibin, R. Nishanth, S.H. Chandana
    2022 — 📑 1 citation

  • Multilevel Security System for Big Data Cloud Using SDBS Algorithm
    P. Umaeswari, B. Shanthini, S. Senthil Kumar
    2020 — 📑 1 citation

đź“ť Conclusion

Dr. P. Umaeswari stands out as a passionate educator, prolific researcher, and visionary thinker. With numerous accolades, interdisciplinary research, impactful publications, and two decades of academic service, she embodies the ideal candidate for a prestigious award. Her scholarly impact and dedication to continuous improvement ensure that she will continue to elevate the fields of Computer Science and Engineering.

 

Yuan Rao | Computer Science | Best Researcher Award

Posted on by Forensic Scientist

Dr. Yuan Rao | Computer Science | Best Researcher Award

Lecturer | School of Artificial Intelligence, Guangzhou University | China

Yuan Rao is a dedicated researcher and lecturer specializing in media forensics and AI security. She has contributed significantly to the field of image forgery detection, focusing on self-supervised learning and domain adaptation techniques. Currently a Lecturer at the School of Artificial Intelligence, Guangzhou University, Yuan Rao combines academic excellence and practical expertise, earning recognition through various awards and high-impact publications.

Profile

Scopus

Google Scholar

Strengths for the Awards

  • Outstanding Research Contributions 
    • Yuan Rao has published numerous high-impact research articles in leading journals and conferences such as:
      • IEEE Transactions on Pattern Analysis and Machine Intelligence
      • Pattern Recognition
      • IEEE International Conference on Computer Vision (ICCV)
    • Her work on JPEG-resistant image forgery detection and AI security vulnerabilities reflects groundbreaking innovation in media forensics.
  • Leadership in Projects 
    • She has successfully undertaken four research projects as Principal Investigator (PI), funded by prestigious bodies such as:
      • National Natural Science Foundation of China
      • Guangdong Basic and Applied Research Foundation
      • Science and Technology Foundation of Guangzhou

🎓 Education

  • PhD in Information and Communication Engineering (2014.9 – 2021.6)
    • Sun Yat-sen University
    • Supervisor: Professor Ni Jiangqun
  • Master’s in Communication and Information Systems (2011.9 – 2014.6)
    • Jinan University
    • Supervisor: Professor Junkai Huang
  • Bachelor’s in Telecommunications Engineering and Management (2007.9 – 2011.6)
    • Beijing University of Posts and Telecommunications

 Work Experience

  • Lecturer (2021.6 – Present)
    • School of Artificial Intelligence, Guangzhou University
    • Yuan Rao conducts research, supervises projects, and inspires students in the evolving fields of AI and media forensics.

🔍 Research Interests On Computer Science

Yuan Rao’s primary research interests focus on:

  • Media Forensics: Detecting and localizing image forgeries using deep learning and self-supervised techniques.
  • AI Security: Exploring vulnerabilities and robustness of AI models in practical scenarios.

🏆 Awards

  • 🥇 Champion and 3rd Place in “Guangzhou Pazhou Algorithm Competition” – Algorithm Safety Track, 2023
  • 🥇 First Prize in the National “Challenge Cup” Black Science and Technology Special Competition, 2023
  • 🏅 6th Rank out of 1471 in “Secure AI Challenger Program: Tamper Detection for Forged Images,” 2020

đź“š Publications

1. A Deep Learning Approach to Detection of Splicing and Copy-Move Forgeries in Images

  • Authors: Y. Rao, J. Ni
  • Publication Year: 2016
  • Citations: 590

2. Deep Learning Local Descriptor for Image Splicing Detection and Localization

  • Authors: Y. Rao, J. Ni, H. Zhao
  • Publication Year: 2020
  • Citations: 104

3. Multi-semantic CRF-based Attention Model for Image Forgery Detection and Localization

  • Authors: Y. Rao, J. Ni, H. Xie
  • Publication Year: 2021
  • Citations: 53

4. Block-based Convolutional Neural Network for Image Forgery Detection

  • Authors: J. Zhou, J. Ni, Y. Rao
  • Publication Year: 2017
  • Citations: 46

5. Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images

  • Authors: Y. Rao, J. Ni
  • Publication Year: 2021
  • Citations: 29

6. Towards JPEG-Resistant Image Forgery Detection and Localization via Self-Supervised Domain Adaptation

  • Authors: Y. Rao, J. Ni, W. Zhang, J. Huang
  • Publication Year: 2022
  • Citations: 13

7. High-accuracy Current Sensing Circuit with Current Compensation Technique for Buck–Boost Converter

  • Authors: Y. Rao, W.L. Deng, J.K. Huang
  • Publication Year: 2015
  • Citations: 5

8. A Trigger-Perceivable Backdoor Attack Framework Driven by Image Steganography

  • Authors: W. Tang, J. Li, Y. Rao, Z. Zhou, F. Peng
  • Publication Year: 2024
  • Citations: – (Recent publication, citation data unavailable)

9. Dig a Hole and Fill in Sand: Adversary and Hiding Decoupled Steganography

  • Authors: W. Tang, H. Yang, Y. Rao, Z. Zhou, F. Peng
  • Publication Year: 2024
  • Citations: – (Recent publication, citation data unavailable)

10. Exploring the Vulnerability of Self-supervised Monocular Depth Estimation Models

  • Authors: R. Hou, K. Mo, Y. Long, N. Li, Y. Rao
  • Publication Year: 2024
  • Citations: – (Recent publication, citation data unavailable)

11. MKD: Mutual Knowledge Distillation for Membership Privacy Protection

  • Authors: S. Huang, Z. Liu, J. Yu, Y. Tang, Z. Luo, Y. Rao
  • Publication Year: 2023
  • Citations: – (Recent publication, citation data unavailable)

12. Deep Multi-image Hiding with Random Key

  • Authors: W. Zhang, W. Tang, Y. Rao, B. Li, J. Huang
  • Publication Year: 2023
  • Citations: – (Recent publication, citation data unavailable)

Research Projects

Yuan Rao has led multiple projects as Principal Investigator (PI):

  1. National Natural Science Foundation of China: Research on Self-supervised Transfer Learning Based Image Forgery Forensics.
  2. Guangdong Basic and Applied Basic Research Foundation: Image Forgery Localization Combining Self-supervised Learning and Knowledge Distillation.
  3. Science and Technology Foundation of Guangzhou: Verifiable Robustness of Object Detection Models Using Domain Knowledge.
  4. Science and Technology Foundation of Guangzhou: Short-term Heavy Precipitation Forecasting with Super-resolution Reconstruction.

đź“ť Conclusion

Yuan Rao is a prominent researcher and educator in media forensics and AI security. With a robust academic background, impressive research achievements, and numerous accolades, she is committed to advancing technologies that ensure the integrity and security of digital media.