Meghna Kapoor is a dedicated researcher in the field of underwater artificial intelligence, currently pursuing her Ph.D. at the Indian Institute of Technology (IIT) Jammu, India. With a strong academic foundation in Electronics and Communication Engineering, her work focuses on developing advanced algorithms for underwater image enhancement and object detection. Meghna has contributed significantly to the field through impactful publications and active collaboration with leading research groups. Her work bridges the gap between computer vision, deep learning, and real-world applications in challenging underwater environments. Meghna’s dedication to innovation and her scholarly contributions have earned her recognition in the academic community.
PROFESSIONAL PROFILE
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STRENGTHS FOR THE AWARDS
- Exceptional Academic Credentials: Meghna Kapoor has demonstrated academic excellence, with a Ph.D. in Electrical Engineering from the Indian Institute of Technology Jammu (CGPA: 9.5/10) and advanced degrees in Electronics and Communication Engineering from reputed institutions.
- Innovative Research Contributions:
- Underwater Surveillance: Her Ph.D. work focusing on using graph refactoring in convolutional neural networks for underwater surveillance addresses a highly niche and impactful area of research.
- Publications: Meghna has authored five significant papers, including peer-reviewed journal articles and conference proceedings. Her work has garnered 11 citations, reflecting the relevance and application of her research in the scientific community.
- Focus on Advanced Technologies: Meghna’s expertise in domains like underwater object detection, image enhancement using graph-based methods, and domain adversarial learning highlights her ability to merge artificial intelligence and domain-specific challenges effectively.
- Research Impact: With an h-index of 2 and consistent contributions to conferences like ICCVW and CVPR Workshops, Meghna has established herself as a credible researcher in her field.
- Interdisciplinary Expertise: Her projects span areas like 3D skeleton pose estimation, robotics, and fuzzy logic control, showcasing her ability to apply her knowledge to diverse fields.
AREAS FOR IMPROVEMENTS
- Collaborative Networks: While Meghna has worked with esteemed co-authors, expanding her collaborative network across different institutions or industries could enhance her research impact and visibility.
- Focus on High-impact Journals: Although her conference papers are influential, more publications in high-impact journals could significantly strengthen her profile.
- Broader Outreach: Developing publicly accessible tools, datasets, or frameworks based on her research could increase her contributions’ practical applicability.
EDUCATION
🎓 Ph.D. in Electrical Engineering (2021–Present), Indian Institute of Technology Jammu, India.
Thesis: Towards Underwater Surveillance using Graph Refactoring in Convolutional Neural Networks (CGPA: 9.5/10).
🎓 Master of Engineering in Electronics and Communication Engineering (2018–2020), Thapar Institute of Engineering and Technology, Punjab, India.
Thesis: 3D Skeleton Location and Pose Estimation Using Multi-view System (CGPA: 9.47/10).
🎓 Bachelor of Technology in Electronics and Communication Engineering (2014–2018), Punjabi University, Punjab, India.
Thesis: EMG-Based Control of Upper Limb Exoskeleton by Using Fuzzy Logic Technique (CGPA: 8.53/10).
EXPERIENCE
👩🔬 Research Scholar (2021–Present), IIT Jammu, India: Developed graph-based algorithms for underwater imaging and object detection.
👨💻 Thesis Student (2019–2020), IIT Kanpur, India: Engineered 3D skeleton reconstruction methods for human pose estimation using deep learning.
🤖 Research Intern (2018), IIT Ropar, India: Designed fuzzy logic models for robotic exoskeleton control and analyzed inverse kinematics for 4-DOF robotic arms.
AWARDS AND HONORS
🏆 Best Research Paper Award, IEEE ICCVW 2023.
🏅 Academic Excellence Award for Master’s CGPA of 9.47/10.
🎖 Research Fellowship, Underwater AI Lab, IIT Jammu.
📜 Travel Grant Award for presenting at international conferences.
RESEARCH FOCUS
🔍 Meghna Kapoor’s research centers on underwater artificial intelligence, with a focus on image enhancement and object detection. She employs graph refactoring techniques and deep learning to address challenges in underwater environments. Her work also integrates traditional geometric methods for 3D reconstruction and applies domain adversarial learning for image enhancement, aiming to make underwater surveillance more reliable and efficient.
PUBLICATION TOP NOTES
📄 Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection (2025).
📄 Underwater Visual Surveillance: A Comprehensive Survey (2024).
📄 Domain Adversarial Learning Towards Underwater Image Enhancement (2023).
📄 Underwater Moving Object Detection Using Encoder-Decoder Architecture and GraphSage (2023)
CONCLUSION
Meghna Kapoor’s outstanding academic achievements, groundbreaking research in underwater surveillance, and multidisciplinary approach make her a strong candidate for the Best Researcher Award. With a focus on expanding her collaborative efforts and publishing in high-impact journals, she could further elevate her research profile. Her contributions align well with the criteria for recognizing excellence in research and innovation.