Ms. Shreetha Bhat is an Assistant Professor in the School of Computer Science and Applications at REVA University, Bengaluru, with over two decades of academic and professional experience in computer science education and research. Her expertise lies in artificial intelligence, machine learning, and deep learning, with a strong research focus on intelligent transportation systems, rail track defect detection, and AI-driven human-centric applications.
Online Profiles
She maintains an active professional and research presence through ORCID (0000-0001-6131-6621) and LinkedIn (www.linkedin.com/in/shreetha-bhat-65b11834), which collectively showcase her academic contributions, publications, professional engagements, and research visibility in artificial intelligence and deep learning.
Education
Ms. Bhat holds an MCA and an M.Phil. in Computer Science from Visvesvaraya Technological University (VTU) and is currently pursuing her Ph.D. in Computer Science with specialization in artificial intelligence and deep learning, demonstrating continuous academic progression and commitment to advanced research.
Research Focus
Her research focuses on machine learning, deep learning, convolutional neural networks, transfer learning, ensemble learning, attention mechanisms, large language models, retrieval-augmented generation, and intelligent systems for rail track monitoring, defect detection, accessibility technologies, and educational AI applications.
Experience
Ms. Bhat has over 23 years of teaching and academic administration experience, currently serving as Assistant Professor at REVA University since 2016, with prior positions at MIT College of Engineering Pune, ICFAI National College Raichur, and Gulbarga University P.G. Centre Raichur, contributing extensively to teaching, student mentoring, accreditation (NAAC, NBA), academic coordination, and institutional quality assurance.
Research Timeline & Research Contributions
Her research journey began with applied computing and software engineering education, later evolving into AI-driven research on deep learning-based rail infrastructure monitoring, ensemble and attention-based defect classification, intelligent chatbots using LLMs, and accessibility-focused AI systems, resulting in consistent scholarly output from 2020 onwards.
Research Impact
Ms. Bhat has authored 12 peer-reviewed research publications, with citations reflecting growing research influence in applied artificial intelligence, achieving an h-index of 2 and contributing to SCI, Scopus, and peer-reviewed conference proceedings in rail safety, intelligent systems, and deep learning applications.
Innovation & Intellectual Property
Her research demonstrates innovation in applying deep learning, attention mechanisms, and ensemble approaches to real-world safety-critical systems such as railway track monitoring, as well as human-centric AI solutions including sign-language translation systems and intelligent chatbot frameworks; one patent has been published based on her research contributions.
Research Projects & Funding
She has actively supervised and guided multiple undergraduate and postgraduate research projects in MCA and BCA programs at REVA University, focusing on AI-based real-time systems, deep learning applications, and intelligent automation, contributing to institution-supported research and student innovation initiatives.
Conference Contributions
Ms. Bhat has presented and published research at several national and international conferences, including IEEE-sponsored and Scopus-indexed events, contributing papers on rail track defect detection, deep learning applications, intelligent systems, and educational AI tools.
Academic Excellence
She is a recipient of the Best Teacher Award (REVA University, 2021), Best Paper Award at IEEE ICDCECE 2022, and Best Research Paper – Second Prize at RENPER Conference 2025, reflecting excellence in teaching, research quality, and scholarly impact.
Societal / Industry Contribution
Her research contributes directly to public safety and inclusivity through AI-driven rail infrastructure monitoring, intelligent transportation safety solutions, and assistive technologies for communication accessibility, while her teaching and mentoring support industry-ready skill development among students.
Global Recognition
Through internationally indexed publications, award-winning conference papers, and participation in global AI research discourse, Ms. Shreetha Bhat has gained growing international recognition in artificial intelligence, deep learning, and intelligent systems research.
Publications (Journals & Conferences)
Shreetha Bhat & Asha Gowda Karegowda, Railway Track Monitoring using Deep Learning Techniques: A Preview, International Journal of Applied Research on Information Technology and Computing (IJARITAC), 2020.
Shreetha Bhat & Asha Gowda Karegowda, Enhancing Rail Track Defect Detection Using Ensemble Approach with Attention Mechanisms, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2025.
Shreetha Bhat, Asha Gowda Karegowda, Vineeth S. Naidu & Akshata, Leveraging HyDE and RAG in Gemma LLM Framework for Enlightened Deep Learning Chatbots, Human-Centric Intelligent Systems, 2025.
Shreetha Bhat, Asha Gowda Karegowda & Leena Rani, An In-depth Analysis of Rail Track Defect Classification: Traditional Machine Learning versus Deep Learning, SN Computer Science, In Review.
Shreetha Bhat, Asha Gowda Karegowda, Leena Rani, Vidya S. & Devika, Classification of Rail Track Crack using CNN with Pre-Trained VGG16 Model, ICDCECE 2022 – International Conference on Distributed Computing and Electrical Circuits and Electronics, 2022.
Leena Rani, Devika, Vinutha, Asha Gowda Karegowda, Vidya S. & Shreetha Bhat, Identification of Medicinal Leaves Using State-of-the-Art Deep Learning Techniques, ICDCECE 2022 – International Conference on Distributed Computing and Electrical Circuits and Electronics, 2022.
Shreetha Bhat, Asha Gowda Karegowda, Leena Rani, Vidya S. & Devika, Deep Learning Based Handwritten Arithmetic Equation Solver, Emerging Research in Electronics, Computer Science and Technology (ICERECT 2022), 2023.
Shreetha Bhat, Asha Gowda Karegowda & Leena Rani, Multiclass Classification of Rail Track Defects Using Deep Learning Techniques, International Conference on Smart Systems for Applications in Electrical Sciences, 2023.
Asha Gowda Karegowda, Shreetha Bhat, Akshata & Vineeth Naidu, Enriching Learning Experience Using Gemma: The Intelligent Chat Companion, International Conference on Smart Systems for Applications in Electrical Sciences, 2024.
Asha Gowda Karegowda, Abdus Salam M. R. & Shreetha Bhat, Development of a Model for Real-Time Voice or Text to Sign Language and Gestures to Text Conversion, GRENZE International Journal of Engineering and Technology, 2025.
Leena Rani, Asha Gowda Karegowda, Devika G. & Shreetha Bhat, Comparative Study of Transfer Learning Models for Mushroom Classification, International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, 2024.