Uday Garg | Artificial Intelligence | Best Researcher Award

Mr. Uday Garg | Artificial Intelligence | Best Researcher Award 

Mr. Uday Garg, at Chandigarh University, India.

Uday Garg is a passionate and dynamic Computer Science Engineer with a proven record in leadership and technology. A former Head Boy and current Class Representative, he balances academic rigor with hands-on experience in development and event management. Proficient in programming languages such as Python and C++, Uday has contributed to both web and Android development, delivering projects in collaboration with startups like Zonson Infotech. His involvement in IEEE at Chandigarh University, both as Treasurer and Executive Member, underscores his dedication to community engagement and tech growth. With a minor in AI from IIT Ropar and multiple NPTEL certifications, Uday exemplifies a commitment to continuous learning. His creative interests in graphic design and love for classical music add depth to his well-rounded personality. A tech innovator with a vision, Uday aspires to bridge technological solutions with real-world challenges.

Professional Profile

ORCID

Education 🎓

Uday Garg’s educational journey showcases both academic versatility and technical depth. Currently pursuing a Minor in Artificial Intelligence (2024–25) from IIT Ropar, he earlier completed his Bachelor of Engineering in Computer Science from Chandigarh University (2020–2024), securing a CGPA of 7.9. His foundation in school academics was laid at Chapra Central School, achieving 9.6 CGPA in Class X and 60.5% in Class XII (CBSE). Uday has also earned industry-recognized certifications, including Software Testing from NPTEL IIIT Bangalore, Data Mining from NPTEL IIT Kharagpur, and an A-grade in Space Technology Awareness Training by ISRO. This academic trajectory reflects a persistent curiosity and a commitment to expanding both theoretical and applied knowledge. With a strong command of programming, AI, and emerging technologies, Uday’s academic record complements his innovative drive and career ambitions.

Experience 💼 

Uday Garg’s professional experience bridges academia and industry with impactful contributions. In 2024, he interned as a Digital Marketing Intern at Sharkify Technology Pvt Ltd, gaining valuable exposure to SEO, analytics, and digital strategies. His practical expertise also extends to software development; between September 2022 and February 2023, he worked as a Freelance Developer at Zonson Infotech Private Limited, where he handled real-time development projects, especially Android and UI/UX tasks. Uday’s collaborative development of a Dormitory Management App using Flutter and Firebase highlights his technical execution skills. He also designed and deployed a Semester Syllabus Portal independently using HTML, CSS, and JavaScript within a tight 20-day timeline. From RPA-based invoice generators to full-stack food blogging platforms, Uday’s hands-on experience reflects adaptability and competence in solving diverse technical challenges. His leadership roles in IEEE also speak to his management skills and collaborative spirit.

Research Interest 🔬

Uday Garg’s research interests lie at the intersection of Artificial Intelligence, Cybersecurity, and Human-Centric Computing. He is particularly fascinated by the vulnerabilities within facial recognition systems and how advanced algorithms can enhance both security and privacy. His recent work titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” presented at AIDE-2023, underscores his commitment to identifying real-world issues in biometric technologies and proposing viable solutions. With a minor in AI from IIT Ropar and foundational training in data mining, Uday is also keen on exploring Machine Learning-based automation, natural language processing, and ethical AI. His practical orientation is balanced by philosophical curiosity, often delving into ethics, privacy, and the societal implications of AI. Uday aspires to contribute to research that not only pushes technical boundaries but also remains grounded in human values, making technology inclusive, accountable, and forward-looking.

Awards 🏅 

Uday Garg’s academic and extracurricular achievements reflect a balanced profile of intellect and leadership. He was elected Treasurer and Executive Member of the IEEE Chandigarh University Student Branch (2021–2022), a role where he managed event planning, financial oversight, and community engagement. One of his most notable accolades was presenting his research paper at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). His paper, focused on cybersecurity in facial recognition systems, was accepted for publication in the American Institute of Physics (AIP)—a significant milestone for a budding researcher. Uday’s appointment as Head Boy in school and his ongoing service as Class Representative in university further reinforce his leadership credentials. These honors and roles speak volumes about his credibility, dedication, and the trust placed in him by peers and mentors alike. With a strong track record of excellence, Uday is poised to make impactful contributions to the tech world.

Top Noted Publication 📚

Uday Garg’s publication record began with a compelling research contribution to the AI and cybersecurity landscape. He authored and presented the paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). This paper was published by the American Institute of Physics (AIP) in 2023 and focuses on identifying systemic flaws in facial recognition systems and proposing mitigation techniques through advanced algorithms and encryption.

The paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” by Uday Garg and Arti Rani was presented at a conference and published in the AIP Conference Proceedings on March 1, 2025. It is part of the series with the ISSN: 0094-243X.

Citation Information

  • Title: An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems

  • Authors: Uday Garg, Arti Rani

  • Publication Date: March 1, 2025

  • Journal: AIP Conference Proceedings

  • ISSN: 0094-243X

  • DOI: 10.1063/5.0262020

Accessing the Paper

You can access the full paper through the DOI link provided above. If you encounter any access restrictions, you might consider checking if your institution provides access or contacting the authors directly for a copy.

Conclusion

Uday Garg shows promising research potential, especially in the intersection of AI, cybersecurity, and application development. His technical breadth, leadership experience, and a published research paper mark him as a strong early-career researcher. However, to fully align with the standards typically expected for a Best Researcher Award, continued focus on depth of research, academic performance, and publication output is advised.

Jiseong Byeon | Computer Science | Best Researcher Award

Mr. Jiseong Byeon | Computer Science | Best Researcher Award 

Mr. Jiseong Byeon at Department of Industrial and Systems Engineering, Dongguk University, South Korea.

Jiseong Byeon is a passionate and emerging researcher in the field of artificial intelligence and computer vision, currently pursuing an M.S. in Industrial and Systems Engineering at Dongguk University, Seoul. With a multidisciplinary academic background combining global business and systems engineering, Jiseong brings a unique blend of strategic thinking and technical expertise. His research is centered around the development of intelligent image-based systems, particularly in the medical domain. He has experience working with advanced deep learning frameworks and has contributed to projects involving 3D human modeling and predictive analytics. Known for his curiosity and collaborative spirit, he aims to advance healthcare and human-computer interaction through innovative AI models. 📸🧠💡

Professional Profile

ORCID

🎓 Education

Jiseong Byeon is currently enrolled in a Master’s program in Industrial and Systems Engineering at Dongguk University, Seoul, beginning in September 2024. He previously earned his Bachelor of Arts in Global Business from Dong-A University in Busan, graduating in August 2024. His educational journey has been a unique blend of global business principles and technical problem-solving, giving him a diverse perspective on interdisciplinary research. During his undergraduate years, Jiseong began exploring data science and AI applications, which led him to transition fully into research-focused engineering. Through academic coursework, hands-on lab experiences, and independent study, he has built a solid foundation in data analytics, deep learning, and applied computer vision techniques. 🏫📚🧑‍🎓

💼 Experience

Jiseong Byeon has amassed valuable research experience across both undergraduate and graduate levels. Currently serving as a Graduate Researcher at Dongguk University since September 2024, he is engaged in developing models for 3D human body reconstruction using Vision Transformer architectures. This cutting-edge work aims to transform how AI interprets and renders human anatomy in digital formats. Previously, from March 2022 to August 2024, he worked as an Undergraduate Research Assistant at Dong-A University. There, he contributed to building encoding-based click prediction models and performed in-depth crime factor analysis using Seoul city data. These diverse experiences have honed his data interpretation skills and technical creativity, preparing him for advanced research and real-world AI application. 🖥️🔍📊

🔬 Research Interests

Jiseong Byeon’s research interests lie at the intersection of artificial intelligence, computer vision, and human modeling. His key areas include Image-to-Image Translation using the Pix2Pix framework, 3D Human Body Modeling, and Vision Transformers for medical applications. He is deeply motivated to apply deep learning algorithms to tasks that require detailed visual interpretation—especially those in the medical field where accurate prediction can significantly enhance outcomes. His work also explores how AI can be used for real-time inference and post-surgical visualization, such as predicting body shape changes. Additionally, Jiseong is keen on exploring the scalability of such models for widespread, ethical, and efficient implementation. 🤖🧬👨‍⚕️

🏆 Awards

While still early in his research career, Jiseong Byeon has shown exceptional promise and has been consistently recognized by his academic mentors for his innovation and diligence. He has been nominated for several internal research awards at Dong-A University, particularly for his work on crime prediction modeling and click prediction systems. His transition to graduate-level research was also supported by faculty recommendations based on the excellence of his undergraduate research projects. With his first peer-reviewed publication accepted and increasing involvement in high-impact research domains, he is a strong candidate for early-career research recognition and award nominations. 🏅📈🌟

📚 Top Noted Publications

Byeon has contributed to a peer-reviewed article that showcases the application of deep learning in medical image analysis:

The paper titled “Predicting Post-Liposuction Body Shape Using RGB Image-to-Image Translation” by Kim, M., Byeon, J., Chang, J., and Youm, S., published in Applied Sciences in 2025, presents a novel approach to forecasting post-liposuction body contours using RGB image-to-image translation techniques.

Key Details:

  • Authors: M. Kim, J. Byeon, J. Chang, and S. Youm

  • Publication Year: 2025

  • Journal: Applied Sciences

  • Citation Count: Cited by 3 articles as of 2025

Research Highlights:

The study focuses on leveraging RGB image-to-image translation methods to predict the outcomes of liposuction procedures. By utilizing preoperative images, the model aims to generate realistic visualizations of post-surgical body shapes, enhancing patient consultations and surgical planning.

Related Works:

While direct citations of this paper are limited, related research in the domain includes:

  • Development of a Non-Contact Sensor System for Converting 2D Images into 3D Body Data: This study introduces a deep learning approach to generate 3D body models from 2D images, facilitating obesity monitoring and body shape analysis. scholarworks.dongguk.edu+2Dongguk University+2MDPI+2

  • Development of an Obesity Information Diagnosis Model Reflecting Body Type Information Using 3D Body Information Values: This research emphasizes the use of 3D body data to enhance obesity diagnosis models, reflecting detailed body type information. MDPI+4ResearchGate+4MDPI+4

  • Predictive Model for Abdominal Liposuction Volume in Patients with Obesity Using Machine Learning: This study develops a machine learning model to predict liposuction volumes, aiding in surgical planning for obese patients.

Conclusion

Jiseong Byeon is a highly promising early-career researcher with a strong foundation in computer vision, deep learning, and real-world applications. His current trajectory suggests significant potential for future impact in both academic and applied AI research. While it may be slightly early for a top-tier “Best Researcher Award”, he is exceptionally well-positioned for a “Rising Star” or “Promising Researcher” recognition. With continued publication, international exposure, and leadership development, he could become a strong contender for major awards in the near future.

Ernesto Diaz | Computer Science | Best Researcher Award

Mr  Ernesto  Diaz |  Computer Science |  Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging, United States

Ernesto Diaz is a highly skilled Data Scientist at the University of California, San Francisco (UCSF), specializing in Hyperpolarized Carbon-13 Metabolic Imaging within the Department of Radiology and Biomedical Imaging. He earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, consistently achieving Dean’s List honors.

Profile:

🎓 Education:

San Francisco State University, San Francisco, CA

  • Bachelor of Science in Computer Science, 2022
  • Dean’s List: 2020-2022

💻 Technical Skills:

Languages & Environments: Python, R-Code, C++, MATLAB, HTML, CSS, Shell Scripting, CUDA, UNIX
Packages: Pandas, Matplotlib, NumPy, PyDicom, TensorFlow, PyTorch, Tkinter, Conda, CMake

🔬 Research Experience:

Data Scientist
University of California San Francisco, Department of Radiology and Biomedical Imaging
June 2022 – Present

  • Developed data processing methods for Hyperpolarized Carbon-13 Metabolic Imaging.
  • Lead developer of a Python application for HP 13C DICOM Images metadata integration.
  • Co-developed a deep learning image segmentation tool achieving 80% accuracy in prostate cancer segmentation.
  • Contributed to UCSF’s open-source MR Spectroscopy tool (SIVIC).

Undergraduate Researcher
UCSF, Department of Radiation Oncology
August 2021 – June 2022

  • Automated 3D spine metastases radiation planning.
  • Designed a Python/Tkinter GUI for treatment planning, boosting efficiency by 50%.

NIH Funded SF BUILD Scholar
San Francisco State University
June 2021 – June 2022

  • Selected for leadership potential and dedication to underserved communities.
  • Focused on diversity in NIH-funded research.

🏆 Awards & Scholarships:

  • NIH Diversity Supplement Award: 2022-2024
  • NIH-SF BUILD Scholar: 2021-2022
  • Dean’s List: San Francisco State University, 2020-2022

📅 Committees & Leadership:

  • UCSF PROPEL Scholar: Promoting equity in scientific research (2022-2024)
  • Metro Near-Peer Mentoring Program: Mentored first-year college students (2020-2022)
  • Google Developer Student Club: Engaged in peer-to-peer learning and community solutions (2019)

🎯 Certifications:

  • CITI Training Certificate: Social/Behavioral Research, 2022
  • Near-Peer Mentor Training: Metro Student First, 2020

Publication Top Notes:

  • The genomic landscape of hypodiploid acute lymphoblastic leukemia
    L. Holmfeldt, L. Wei, E. Diaz-Flores, M. Walsh, J. Zhang, L. Ding, …
    Nature Genetics, 45(3), 242-252, 2013. (Citations: 841)

  • Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates
    N. Kotecha, N.J. Flores, J.M. Irish, E.F. Simonds, D.S. Sakai, S. Archambeault, …
    Cancer Cell, 14(4), 335-343, 2008. (Citations: 290)

  • Ex vivo drug response profiling detects recurrent sensitivity patterns in drug-resistant acute lymphoblastic leukemia
    V. Frismantas, M.P. Dobay, A. Rinaldi, J. Tchinda, S.H. Dunn, J. Kunz, …
    Blood, The Journal of the American Society of Hematology, 129(11), e26-e37, 2017. (Citations: 240)

  • p53 loss promotes acute myeloid leukemia by enabling aberrant self-renewal
    Z. Zhao, J. Zuber, E. Diaz-Flores, L. Lintault, S.C. Kogan, K. Shannon, …
    Genes & Development, 24(13), 1389-1402, 2010. (Citations: 211)

  • Response and resistance to MEK inhibition in leukaemias initiated by hyperactive Ras
    J.O. Lauchle, D. Kim, D.T. Le, K. Akagi, M. Crone, K. Krisman, K. Warner, …
    Nature, 461(7262), 411-414, 2009. (Citations: 156)

  • K-RasG12D expression induces hyperproliferation and aberrant signaling in primary hematopoietic stem/progenitor cells
    M.E.M. Van Meter, E. Díaz-Flores, J.A. Archard, E. Passegué, J.M. Irish, …
    Blood, 109(9), 3945-3952, 2007. (Citations: 138)

  • Phase II study of the oral MEK inhibitor selumetinib in advanced acute myelogenous leukemia: a University of Chicago phase II consortium trial
    N. Jain, E. Curran, N.M. Iyengar, E. Diaz-Flores, R. Kunnavakkam, …
    Clinical Cancer Research, 20(2), 490-498, 2014. (Citations: 133)

  • Bcl-2 is a therapeutic target for hypodiploid B-lineage acute lymphoblastic leukemia
    E. Diaz-Flores, E.Q. Comeaux, K.L. Kim, E. Melnik, K. Beckman, K.L. Davis, …
    Cancer Research, 79(9), 2339-2351, 2019. (Citations: 80)

  • Diacylglycerol kinase inhibition prevents IL-2-induced G1 to S transition through a phosphatidylinositol-3 kinase-independent mechanism
    I. Flores, D.R. Jones, A. Ciprés, E. Díaz-Flores, M.A. Sanjuan, I. Mérida
    The Journal of Immunology, 163(2), 708-714, 1999. (Citations: 71)

  • Regulation of diacylglycerol kinase α by phosphoinositide 3-kinase lipid products
    A. Ciprés, S. Carrasco, E. Merino, E. Díaz, U.M. Krishna, J.R. Falck, …
    Journal of Biological Chemistry, 278(37), 35629-35635, 2003. (Citations: 69)

  • Targeting oncogenic ras
    E. Diaz-Flores, K. Shannon
    Genes & Development, 21(16), 1989-1992, 2007. (Citations: 65)

  • Cooperative loss of RAS feedback regulation drives myeloid leukemogenesis
    Z. Zhao, C.C. Chen, C.D. Rillahan, R. Shen, T. Kitzing, M.E. McNerney, …
    Nature Genetics, 47(5), 539-543, 2015. (Citations: 48)

  • Abnormal hematopoiesis in Gab2 mutant mice
    Y. Zhang, E. Diaz-Flores, G. Li, Z. Wang, Z. Kang, E. Haviernikova, S. Rowe, …
    Blood, 110(1), 116-124, 2007. (Citations: 48)

  • β2-chimaerin provides a diacylglycerol-dependent mechanism for regulation of adhesion and chemotaxis of T cells
    M. Siliceo, D. García-Bernal, S. Carrasco, E. Díaz-Flores, F.C. Leskow, …
    Journal of Cell Science, 119(1), 141-152, 2006. (Citations: 48)

  • Membrane translocation of protein kinase Cθ during T lymphocyte activation requires phospholipase C-γ-generated diacylglycerol
    E. Díaz-Flores, M. Siliceo, C. Martínez-A, I. Mérida
    Journal of Biological Chemistry, 278(31), 29208-29215, 2003. (Citations: 48)

  • Rapid screening of COVID‐19 patients using white blood cell scattergrams, a study on 381 patients
    J. Osman, J. Lambert, M. Templé, F. Devaux, R. Favre, C. Flaujac, D. Bridoux, …
    British Journal of Haematology, 190(5), 718-722, 2020. (Citations: 34)

  • NRAS G12V oncogene facilitates self-renewal in a murine model of acute myelogenous leukemia
    Z. Sachs, R.S. LaRue, H.T. Nguyen, K. Sachs, K.E. Noble, N.A. Mohd Hassan, …
    Blood, 124(22), 3274-3283, 2014. (Citations: 30)

  • PLC-γ and PI3K link cytokines to ERK activation in hematopoietic cells with normal and oncogenic Kras
    E. Diaz-Flores, H. Goldschmidt, P. Depeille, V. Ng, J. Akutagawa, K. Krisman, …
    Science Signaling, 6(304), ra105-ra105, 2013. (Citations: 21)

  • Evolution of artificial intelligence-powered technologies in biomedical research and healthcare
    E. Diaz-Flores, T. Meyer, A. Giorkallos
    Smart Biolabs of the Future, 23-60, 2022. (Citations: 18)

  • Stat5 is critical for the development and maintenance of myeloproliferative neoplasm initiated by Nf1 deficiency
    Z. Sachs, R.A. Been, K.J. DeCoursin, H.T. Nguyen, N.A.M. Hassan, …
    Haematologica, 101(10), 1190, 2016. (Citations: 18)