Ms. Chetna Kwatra | Deep Learning | Women Researcher Award
Lovely Professional University, India
Profiles
Early Academic Pursuits
Ms. Chetna Vaid Kwatra embarked on her academic journey with a strong foundation in engineering and technology. She earned a Diploma in Digital Electronics & Microprocessor System Design from Kasturba Polytechnic for Women, Delhi, in 2002. Building upon this, she pursued a B.Tech. in Information Technology from Maharaja Surajmal Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, in 2005. Her commitment to academic excellence led her to attain an M.Tech. in Computer Science Engineering from Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, in 2014, solidifying her expertise in computer science and engineering.
Professional Endeavors
Ms. Kwatra has amassed extensive experience in academia and industry. She commenced her career as a Software Engineer at L&T Infotech, Mumbai (2005–2007), gaining valuable industry exposure before transitioning into academia. Her teaching career spans multiple institutions, having served as an Assistant Professor in the Department of Computer Science & Engineering at Lovely Professional University in various tenures (2008–2015, 2017–2018, 2022–Present). She also contributed to Guru Nanak Dev University – Regional Campus, Jalandhar, as an Assistant Professor (2015–2016), shaping the next generation of engineers and researchers.
Contributions and Research Focus
Ms. Kwatra’s research is deeply rooted in Artificial Intelligence (AI), Network Security, and Cryptography, with a focus on Intrusion Detection Systems, Cybersecurity, and AI applications in Healthcare. Her contributions to Machine Learning in Cybersecurity and Healthcare have led to multiple high-impact publications. Her works include “Harnessing Ensemble Deep Learning Models for Precise Detection of Gynaecological Cancers” (2025) and “Early Detection of Gynecological Malignancies Using Ensemble Deep Learning Models: ResNet50 and Inception V3” (2025), showcasing her dedication to AI-driven healthcare solutions. Additionally, she has delved into cryptography and security, with significant publications such as “Exploring State-of-the-Art Cryptography: A Systematic Exploration of Advanced Approaches for IoT Device Authentication” (ICAIHC 2023) and “Artificial Intelligence Application for Security Issues and Challenges in IoT” (IC3I 2022).
Impact and Influence
Ms. Kwatra’s contributions to cybersecurity, AI, and healthcare research have made a profound impact on academic and professional communities. She has received notable recognitions and awards, including the Best Paper Award in Cloud Computing at ICRITO’14, Amity University, Noida. Her role as a committee member at the 7th International Joint Conference on Computing Sciences (ICCS-2023) reflects her influence in the research domain. She has also been acknowledged for conducting guest lectures, such as the Cyber Security session at Government ITI, Talwandi Choudrian, Kapurthala (2023), further extending her expertise beyond academia.
Academic Citations and Book Chapters
Her scholarly works have gained recognition in prestigious international journals and conferences. She has also contributed book chapters, such as “IoMT—Applications, Benefits, and Future Challenges in the Healthcare Domain” in Advances in Fuzzy-Based Internet of Medical Things (IoMT), 2024. With multiple papers published in IEEE and other reputed platforms, her research has significantly contributed to AI applications in cybersecurity and healthcare.
Technical Skills and Certifications
. Kwatra has continuously honed her technical proficiency through certifications and faculty development programs. She holds expertise in cryptography, machine learning, deep learning models, and cybersecurity. Her credentials include:
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Certifications in Cryptography (Asymmetric, Symmetric, Hash & Integrity) from the University of Colorado (2024)
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Faculty Development Programs in AI for IoT, Data Analysis, and AI Security Workshops (2022–2025)
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Completion of Deep Learning workshops and AI-based curriculum design programs
Teaching and Mentorship
Ms. Kwatra has been actively involved in teaching a variety of undergraduate and postgraduate courses, including Java Programming, C++, Computer Networks, Cybersecurity, Network Security & Cryptography, and Intrusion Detection Systems. With a passion for mentoring, she has successfully guided three dissertation students, fostering innovation and critical thinking among aspiring researchers.
Legacy and Future Contributions
With an impressive career spanning academia, research, and industry, Ms. Kwatra continues to drive innovation in AI, cybersecurity, and healthcare applications. Her commitment to research, teaching, and professional training sets a benchmark for future scholars and researchers. As she advances in her academic pursuits, her contributions to AI-driven disease detection, cryptography, and security systems are poised to make lasting impacts in both research and real-world applications.
Publications
Harnessing ensemble deep learning models for precise detection of gynaecological cancers
- Authors: C.V. Kwatra, Chetna Vaid, H. Kaur, Harpreet, S.P. Potharaju, Sai Prasad, D.B. Jadhav, Devyani Bhamare, S.B. Tambe, Sagar B.
Journal: Clinical Epidemiology and Global Health
Year: 2025