Jaehwan Jeong | Generative AI models | Best Researcher Award

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Mr. Jaehwan Jeong | Generative AI models | Best Researcher Award

Ph.D Student,Korea University,South Korea

Jaehwan Jeong is an emerging researcher in AI and computer vision, with a strong academic background and collaborations with top institutions. His work in deepfake defense and generative models positions him well for awards in AI safety and multi-modal learning. However, securing additional accepted publications and leading independent research could further bolster his case for the Best Researcher Award.

Publication Profile
Google Scholar

Education :

Jaehwan Jeong is currently pursuing a Ph.D. in Artificial Intelligence at Korea University, Seoul, South Korea (2024–2029, expected). He completed his Bachelor of Engineering (B.E.) in Electrical & Electronic Engineering from Chung-Ang University, Seoul, in 2021. His academic journey has been focused on artificial intelligence, deep learning, and computer vision.

Experience:

Research Focus:

Skills:

Jaehwan possesses strong expertise in:,Programming: Python, Shell Scripting, Git, LaTeX,Deep Learning Frameworks: PyTorch, PyTorch Lightning, TensorFlow,AI & ML Libraries: Hugging Face, Scikit-Learn

Publication :

  • MTVG: Multi-text Video Generation with Text-to-Video Models

    • Authors: Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
    • Publication: arXiv preprint arXiv:2312.04086
    • Year: 2023
    • Citation: Oh, G., Jeong, J., Kim, S., Byeon, W., Kim, J., Kim, S., Kwon, H., & Kim, S. (2023). MTVG: Multi-text Video Generation with Text-to-Video Models. arXiv preprint arXiv:2312.04086.
      kuai-lab.github.io

  • MEVG: Multi-event Video Generation with Text-to-Video Models

    • Authors: Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim
    • Publication: European Conference on Computer Vision (ECCV), pages 401–418
    • Year: 2025
    • Citation: Oh, G., Jeong, J., Kim, S., Byeon, W., Kim, J., Kim, S., & Kim, S. (2025). MEVG: Multi-event Video Generation with Text-to-Video Models. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 401–418). Springer.
      pure.korea.ac.kr

  • FaceShield: Defending Facial Image against Deepfake Threats

    • Authors: Jaehwan Jeong, Seungmin In, Sieun Kim, Hyojin Shin, Jaeho Jeong, Seunghyun Yoon, Jaewon Chung, Sungwoong Kim
    • Publication: arXiv preprint arXiv:2412.09921
    • Year: 2024
    • Citation: Jeong, J., In, S., Kim, S., Shin, H., Jeong, J., Yoon, S., Chung, J., & Kim, S. (2024). FaceShield: Defending Facial Image against Deepfake Threats. arXiv preprint arXiv:2412.09921.
Conclusion:

Jeong is a strong candidate for the award but would benefit from more accepted publications and demonstrated leadership in independent research. His ongoing Ph.D. work and collaborations with Samsung, NVIDIA, and Google make him a promising researcher with significant potential.

Shankar Patil | Deep Learning | Best Researcher Award

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Prof Dr. Shankar Patil | Deep Learning | Best Researcher Award

Prof Dr, Shankar Patil,Smt. Indira Gandhi College of Engineering, Ghansoli, India

Prof. Dr. Shankar Patil is a distinguished academician and researcher affiliated with Smt. Indira Gandhi College of Engineering in Ghansoli, India. With a robust background in engineering education and research, Dr. Patil has made significant contributions to the field, particularly in the areas of [please specify his key areas if known]. He holds [degrees or qualifications], and his expertise spans [mention specific areas of expertise or research interests]. Dr. Patil is actively involved in [mention any significant roles, committees, or academic initiatives he’s part of]. His dedication to advancing knowledge and fostering academic excellence underscores his commitment to the field of engineering education and research

Professional Profiles:

Scopus

Objective:

To procure a challenging position in an organization where I can promote my ideas and knowledge with the best engineering qualities for the benefit of the organization.

Education :

  • Ph.D. in Computer Science & Engineering, Singhania University, Pacheri, September 2018.
  • Master of Computer Engineering, Bharati Vidyapeeth Deemed University, Pune, 2005.
  • Bachelor of Computer Engineering, Walchand College of Engineering, Sangli, Shivaji University, Kolhapur, 1998.

Membership:

  • Life Member, Indian Society of Technical Education (ISTE), Membership Number LM41153.
  • Computer Society of India (CSI), Membership Number N1158683.
  • Recognized as PhD Guide in Computer Engineering at University of Mumbai.
  • Recognized as Post-Graduate Teacher at University of Mumbai.

Publications :

  • Object Identification and Alerting Method for Pattern Analysis,” Inderscience Journal of Computational Vision and Robotics, February 2024.
  • “Yolo V4-Based Hybrid Feature Enhancement Network with Robust Object Detection under Adverse Weather Conditions,” Springer Nature journal Signal, Image and Video Processing, March 2024.
  • “Caritas- ‘Serving Smiles’,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), India, 2023.
  • “Online Exam Proctoring System Based on Computer Aided Design In Mechanical Engineering,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), India, 2023.
  • “Melanoma Skin Cancer Disease Detection Using Convolutional Neural Network,” 3rd International Conference of Emerging Technologies 2022 (INCET2022), India, May 2022.