Kanaga Suba Raja S | Deep Learning | Best Researcher Award

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Prof. Dr. Kanaga Suba Raja S | Deep Learning | Best Researcher Award

Professor at Srm Institute Of Science And Technology Tiruchirappalli, India

Dr. S. Kanaga Suba Raja is a dedicated computer science educator and researcher with a passion for innovation and technology. With a rich history of academic leadership and groundbreaking research, he continues to inspire the next generation of engineers. 🌍💡

Publication Profile : 

Scopus

Orcid

Google Scholar

 

🎓 Educational Background :

Dr. Kanaga Suba Raja completed his Ph.D. in Computer Science and Engineering from Manonmaniam Sundaranar University in 2013. He holds a Master’s degree in Computer Science and Engineering from Noorul Islam College of Engineering (2006) and a Bachelor’s degree from The Rajaas Engineering College (2003).

💼 Professional Experience :

With over 19 years of experience in academia, Dr. Kanaga Suba Raja has held several prominent positions, including Professor and Head of the Department of Computer Science and Engineering at SRM Institute of Science and Technology, and Associate Dean at the School of Computing. His career spans roles as Associate Professor and Lecturer at various institutions under Anna University, where he contributed significantly to curriculum development and academic administration.

📚 Research Interests : 

Dr. Kanaga Suba Raja specializes in artificial intelligence, cloud computing, and biomedical engineering. He has published over 100 research papers, received numerous citations, and holds patents related to cloud computing and medical technologies.

📝 Publication Top Notes :

  1. Priya, J., Kanaga Suba Raja, S., & Usha Kiruthika, S. (2024). State-of-art technologies, challenges, and emerging trends of computer vision in dental images. Computers in Biology and Medicine, 178. https://doi.org/10.1016/j.compbiomed.2024.108800
  2. Priya, J., Kanaga Suba Raja, S., & Sudha, S. (2024). An intellectual caries segmentation and classification using modified optimization-assisted transformer denseUnet++ and ViT-based multiscale residual denseNet with GRU. Signal, Image and Video Processing (SIViP). https://doi.org/10.1007/s11760-024-03227-9
  3. Chandra, & Kanaga Suba Raja, S. (2024). HHECC-AES: A novel hybrid cryptography scheme for developing the secured wireless body area network using heuristic-aided blockchain model. Ad Hoc & Sensor Wireless Networks, 59, 141–179. https://doi.org/10.32908/ahswn.v59.10477
  4. Sandhiya, B., Kanaga Suba Raja, S., Shruthi, K., & Praveena Rachel Kamala, S. (2024). Brain tumour segmentation and classification with reconstructed MRI using DCGAN. Biomedical Signal Processing and Control, 92. https://doi.org/10.1016/j.bspc.2024.106005
  5. Sandhiya, B., & Kanaga Suba Raja, S. (2024). Deep learning and optimized learning machine for brain tumor classification. Biomedical Signal Processing and Control, 89(1). https://doi.org/10.1016/j.bspc.2023.105778
  6. Kausalya, K., & Kanaga Suba Raja, S. (2024). OTRN-DCN: An optimized transformer-based residual network with deep convolutional network for action recognition and multi-object tracking of adaptive segmentation using soccer sports video. International Journal of Wavelets, Multiresolution and Information Processing, 22(1). https://doi.org/10.1142/S0219691323500340
  7. Chandra, B., & Kanaga Suba Raja, S. (2023). Security in wireless body area network (WBAN) using blockchain. IETE Journal of Research. https://doi.org/10.1080/03772063.2023.2233472
  8. Hema, M., & Kanaga Suba Raja, S. (2023). A quantitative approach to minimize energy consumption in cloud data centres using VM consolidation algorithm. KSII Transactions on Internet and Information Systems, 17(2), 312-334. https://doi.org/10.3837/tiis.2023.02.002
  9. Pushpa, S. X., & Kanaga Suba Raja, S. (2022). Enhanced ECC based authentication protocol in wireless sensor network with DoS mitigation. Cybernetics and Systems, 53(2). https://doi.org/10.1080/01969722.2022.2055403
  10. Hema, M., & Kanaga Suba Raja, S. (2022). An efficient framework for utilizing underloaded servers in compute cloud. Computer Systems Science and Engineering, 43(5). https://doi.org/10.32604/csse.2023.024895
  11. Vivekanandan, M., & Kanaga Suba Raja, S. (2022). Virtex-II Pro FPGA-based smart agricultural system. Wireless Personal Communications, 125(1), 119–141. https://doi.org/10.1007/s11277-022-09544-x
  12. Pushpa, S. X., & Kanaga Suba Raja, S. (2022). Elliptic curve cryptography-based authentication protocol enabled with optimized neural network-based DoS mitigation. Wireless Personal Communications, 124(27). https://doi.org/10.1007/s11277-021-08902-5
  13. Balaji, V., & Kanaga Suba Raja, S. (2021). Recommendation learning system model for children with autism. Intelligent Automation & Soft Computing, 31(2). https://doi.org/10.32604/iasc.2022.020287
  14. Valarmathi, K., & Kanaga Suba Raja, S. (2021). Resource utilization prediction technique in cloud using knowledge-based ensemble random forest with LSTM model. Concurrent Engineering: Research and Applications. https://doi.org/10.1177/1063293X211032622
  15. Kanaga Suba Raja, S., & Virgin Louis, B. A. (2021). A review of call admission control schemes in wireless cellular networks. Wireless Personal Communications, 120(4), 3369–3388. https://doi.org/10.1007/s11277-021-08618-6

 

 

 

Xinyi Wei | Social Psychological Impacts | Best Researcher Award

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Assoc. Prof. Dr. Xinyi Wei | Social Psychological Impacts | Best Researcher Award

Associate Professor at Renmin University of China and Putian University, China

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University. He graduated from a “Double First-Class” university in China, excelling in a “Double First-Class” discipline. Over his 11-year academic career, he has published over 30 papers, including five as first author in top-tier journals (SSCI Q1), with an impressive impact factor of 10.1 for one of his articles. His research explores the social psychological impacts of emerging technologies, particularly in relation to mobile phone usage and addiction. In addition, he has completed significant projects funded by national and university-level grants.

Publication Profile : 

Scopus

🎓 Educational Background :

  • University: Graduated from a “Double First-Class” university in China 🇨🇳
  • Discipline: Specialized in a “Double First-Class” discipline 📚

💼 Professional Experience :

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University, with 11 years of academic experience. He has published over 30 academic papers, including five first-authored pieces in top-tier journals (SSCI Q1), achieving a maximum impact factor of 10.1. His expertise spans both quantitative and qualitative research methods in social sciences, further enriched by his involvement in significant research projects funded by prestigious organizations.

📚 Research Interests : 

  • 📱 Social psychological impacts of mobile technology
  • 📊 Gender differences in technology usage
  • 🧠 Cognitive and neural mechanisms related to behavioral responses
  • 💡 Smartphone addiction and its implications
  • 🌐 Effects of emerging technologies on society

📝 Publication Top Notes :

  1. Peng, J., Yuan, S., Wei, Z., Wu, S., & Ren, L. (2024). Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder. BMC Psychiatry, 24(1), 241. [Open access]
  2. Liu, C., Rotaru, K., Wang, Z., Albertella, L., & Ren, L. (2024). Examining network structure of impulsivity and depression in adolescents and young adults: A two-sample study. Journal of Affective Disorders, 362, 54–61.
  3. Gao, T., Yang, L., Wei, X., Zhang, L., & Lei, L. (2024). Is childhood emotional neglect associated with problematic smartphone use among adolescents? The mediating role of rejection sensitivity and depressive symptoms. Current Psychology, 43(32), 26477–26489.
  4. Wei, X., Chu, X., Geng, J., Wang, C., & Lei, L. (2024). Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users. Technology in Society, 77, 102566. [Open access]
  5. Li, J., Liu, C., Albertella, L., Liu, X., & Ren, L. (2024). Network analysis of the association between Dark Triad traits and depression symptoms in university students. Personality and Individual Differences, 218, 112495.
  6. Chu, X., Chen, Y., Litifu, A., Wei, X., & Lei, L. (2024). Social anxiety and phubbing: The mediating role of problematic social networking and the moderating role of family socioeconomic status. Psychology in the Schools, 61(2), 553–567. [Open access]
  7. Wei, X., Chu, X., Wang, H., Liu, C., & Lei, L. (2024). Does positive coping style alleviate anxiety symptoms after appearing problematic smartphone use for generation Z adolescents? The mediating role of state core self-evaluation. Current Psychology, 43(8), 6783–6795.
  8. Wang, Y., Gu, X., Geng, J., Wei, X., & Lei, L. (2024). Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: The buffering role of media literacy. Cyberpsychology, 18(1), 2. [Open access]
  9. Wei, X.-Y., Jiang, Y.-Z., Zhou, H.-L., & Jiang, H.-B. (2023). Erratum: Neuroticism and problematic smartphone use symptom types: Roles of anxiety and alexithymia. Current Psychology, 42(36), 32616–32617. [Open access]