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
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
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Title: An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems
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Authors: Uday Garg, Arti Rani
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Publication Date: March 1, 2025
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Journal: AIP Conference Proceedings
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ISSN: 0094-243X
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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.