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Dr. Daddala Yasoomkari

Assistant Professor Level-11, School of Computing, Bengaluru

Qualification: Ph.D
d_yasoomkari@blr.amrita.edu
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Research Interest: AI & ML in health care, Disease classifications, Bio inspired feature selection techniques

Bio

Dr. D. Yaso Omkari is currently serving as an Assistant Professor (Level-11) at the Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru. She earned her Ph.D. in Computer Science from VIT-AP University, Andhra Pradesh, where she specialized in deep learning and bio-inspired optimization techniques for coronary artery disease prediction. During her doctoral studies, she was honoured with the Research Award from VIT-AP University for her outstanding contributions to AI-driven healthcare research.

Before pursuing her Ph.D., Dr. Omkari accumulated four years of teaching experience as an Assistant Professor at SV Colleges, Tirupati, where she taught undergraduate and postgraduate courses in computer science and artificial intelligence.

Her research interests include feature selection, deep neural networks, evolutionary computation, interpretable AI, and healthcare analytics. She has worked extensively on developing robust and accurate predictive models for cardiovascular diagnosis using clinical and physiological datasets.

Dr. Omkari has authored several research publications in peer-reviewed journals and international conferences. Her ongoing work involves integrating ECG-based diagnostics with AI models and exploring advanced deep learning techniques for early disease detection.

Publications

Journal Article

Year : 2024

Cardiovascular Disease Prediction: Employing Extra Tree Classifier-Based Feature Selection and Optimized RNN with Artificial Bee Colony

Cite this Research Publication : Yaso Omkari Daddala, Kareemulla Shaik, Cardiovascular Disease Prediction: Employing Extra Tree Classifier-Based Feature Selection and Optimized RNN with Artificial Bee Colony, Revue d'Intelligence Artificielle, International Information and Engineering Technology Association, 2024, https://doi.org/10.18280/ria.380228

Publisher : International Information and Engineering Technology Association

Year : 2024

An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers

Cite this Research Publication : D. Yaso Omkari, Kareemulla Shaik, An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/access.2024.3389707

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Opportunities and Challenges of Machine Learning and Deep Learning Techniques in Cardiovascular Disease Prediction: A Systematic Review

Cite this Research Publication : D. YASO OMKARI, SNEHAL B. SHINDE, OPPORTUNITIES AND CHALLENGES OF MACHINE LEARNING AND DEEP LEARNING TECHNIQUES IN CARDIOVASCULAR DISEASE PREDICTION: A SYSTEMATIC REVIEW, Journal of Biological Systems, World Scientific Pub Co Pte Ltd, 2023, https://doi.org/10.1142/s0218339023300014

Publisher : World Scientific Pub Co Pte Ltd

Conference Proceedings

Year : 2023

Cardiovascular Disease Prediction Using Machine Learning Techniques with HyperOpt

Cite this Research Publication : D. Yaso Omkari, Snehal B. Shinde, Cardiovascular Disease Prediction Using Machine Learning Techniques with HyperOpt, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-99-2322-9_44

Publisher : Springer Nature Singapore

FDP / Workshops
  • Attended to 1-week national workshop on “Pioneering the Future of Blockchain Technology” at NIT- Tiruchirappalli.
  • 5 days FDP on “Big Data – Hadoop Eco Systems” at CMR Institute of Technology.
  • 2 days FDP on “Research Paper & Project Proposal Writing” at Mohan Babu University.
  • 2-week FDP on “Recent Trends in Information, Computing and Teaching Methodology Competency” at Sai Ram Engineering College.
  • 2-weeek FDP on “Big Data Analytics for Cyber Physical Systems: Research Challenges and Opportunities”.
Awards

Research Award from VIT-AP University

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