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Dr. Kamepalli S. L. Prasanna

Assistant Professor, School of Computing, Amaravati

Qualification: B. Tech., M. Tech., Ph. D.
k_prasanna@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Machine Learning, Deep Learning, Soft computing, Optimization Techniques

Bio Publications FDP / Workshops
Bio

Dr. Kamepalli S L Prasanna is an Assistant Professor in the School of Computing, Amrita Vishwa Vidyapeetham, Amaravati , India. She obtained her Ph.D. degree from VIT-AP University, Amaravati; India in the area of Machine learning with optimization. She completed her Master’s degree (Comp. Sci. & Engg.) from JNTUK, Kakinada, India and Bachelor’s degree (Comp. Sci. & Engg.) from JNTUK, Kakinada, India. She has 8 years of teaching experience in various institutions.

She has published a few research papers in reputed journals and conferences. She has research interests are machine learning, deep learning, Data analytics, Metaheuristic and swarm Intelligence Algorithms, Evolutionary computation, Fuzzy logic and Rough set theory, Advanced clustering, and transfer learning.

Publications

Conference Paper

Year : 2024

BERT-QA: Empowering Intelligent Question Answering with NLP and Entity Recognition

Cite this Research Publication : Kamepalli S L Prasanna, Suluru Lokesh, Gunnam Chandramouli, Nagabotu Vimala, Muthineni Puneeth, Puvvada Dhanush Siva Sai Chandranath, BERT-QA: Empowering Intelligent Question Answering with NLP and Entity Recognition, 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 2024, https://doi.org/10.1109/icaaic60222.2024.10575242

Publisher : IEEE

Year : 2024

Segmentation of Skin Cancer Images Using KP-UNet

Cite this Research Publication : D Anupama, D Sumathi, N Vimala, K S L Prasanna, Segmentation of Skin Cancer Images Using KP-UNet, 2024 First International Conference for Women in Computing (InCoWoCo), IEEE, 2024, https://doi.org/10.1109/incowoco64194.2024.10863366

Publisher : IEEE

Year : 2024

Heart Disease Forecast: A Comparative Analysis of Recurrent Neural Network and Long Short Term Memory

Cite this Research Publication : Bollapalli Althaph, Nagendra Panini Challa, Jajam Nagaraju, Kamepalli S. L. Prasanna, Heart Disease Forecast: A Comparative Analysis of Recurrent Neural Network and Long Short Term Memory, 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), IEEE, 2024, https://doi.org/10.1109/delcon64804.2024.10866161

Publisher : IEEE

Year : 2024

Deepfake Image Verification using DCNN with MobileNetV2

Cite this Research Publication : Jeevana Jyothi Pujari, Thulasi Bikku, Kamepalli S. L. Prasanna, Sarvani Kocherlakota, Nancy Gupta, Raju Anitha, Deepfake Image Verification using DCNN with MobileNetV2, 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), IEEE, 2024, https://doi.org/10.1109/delcon64804.2024.10866044

Publisher : IEEE

Year : 2023

Improved Double-Level Blending Model (IDLBM): Customer Churn Estimating In Insurance Industry

Cite this Research Publication : Nagaraju Jajam, Nagendra Panini Challa, KSL Prasanna, IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING IN INSURANCE INDUSTRY, 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2023, https://doi.org/10.1109/icaect57570.2023.10118051

Publisher : IEEE

Year : 2023

Osteoarthritis Disease Detection using Efficient Hyper-Tuning Parameters

Cite this Research Publication : Nagendra Panini Challa, Beebi Naseeba, Gudigntla Vyshnavi, Thanneeru Priyanka, Nagaraju Jajam, Kamepalli SL Prasanna, Osteoarthritis Disease Detection using Efficient Hyper-Tuning Parameters, 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), IEEE, 2023, https://doi.org/10.1109/accai58221.2023.10200102

Publisher : IEEE

Year : 2023

Heart Disease Prediction using Reinforcement Learning Technique

Cite this Research Publication : Kamepalli S L Prasanna, Nagendra Panini Challa, Jajam. Nagaraju, Heart Disease Prediction using Reinforcement Learning Technique, 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2023, https://doi.org/10.1109/icaect57570.2023.10118232

Publisher : IEEE

Year : 2022

Building an Efficient Heart Disease Prediction System by using Clustering Techniques

Cite this Research Publication : Kamepalli. S L Prasanna, J. Vijaya, Building an Efficient Heart Disease Prediction System by using Clustering Techniques, Lecture Notes in Electrical Engineering, Springer Singapore, 2022, https://doi.org/10.1007/978-981-16-9885-9_6

Publisher : Springer Singapore

Journal Article

Year : 2023

Hybrid MRK-Means + + RBM Model: An Efficient Heart Disease Predicting System Using ModifiedRoughK-Means + + Algorithm and Restricted Boltzmann Machine

Cite this Research Publication : Kamepalli S. L. Prasanna, Nagendra Panini Challa, Hybrid MRK-Means + + RBM Model: An Efficient Heart Disease Predicting System Using ModifiedRoughK-Means + + Algorithm and Restricted Boltzmann Machine, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Pub Co Pte Ltd, 2023, https://doi.org/10.1142/s0218488523400056

Publisher : World Scientific Pub Co Pte Ltd

Year : 2023

Deep Bi-LSTM with Binary Harris Hawkes Algorithm-Based Heart Risk Level Prediction

Cite this Research Publication : Kamepalli S. L. Prasanna, Nagendra Panini Challa, Deep Bi-LSTM with Binary Harris Hawkes Algorithm-Based Heart Risk Level Prediction, SN Computer Science, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s42979-023-02497-3

Publisher : Springer Science and Business Media LLC

Year : 2023

Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction

Cite this Research Publication : Nagaraju Jajam, Nagendra Panini Challa, Kamepalli S. L. Prasanna, C H Venkata Sasi Deepthi, Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/access.2023.3304669

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2022

Heart Disease Prediction Using Optimal Mayfly Technique with Ensemble Models

Cite this Research Publication : S. L. Prasanna, Nagendra Panini Challa, "Heart Disease Prediction Using Optimal Mayfly Technique with Ensemble Models," International Journal of Swarm Intelligence Research, IGI Global, 2022, https://doi.org/10.4018/ijsir.313665

Publisher : IGI Global

FDP / Workshops
  • Attended one days online program “Foreign Guest Lecture on Beyond Boundaries : Exploring the Frontiers of AI and its Transformative Potential” in VIT-AP University ,Amaravathi 29 May 2024
  • Attended 5 days online faculty development program on “ Explore Innovative Trends in Machine Learning and Deep learning” in Lakireddy Bali Reddy College Engineering10th-14 June 2024
  • Attended a one day workshop on “IOT applications Using Deep learning” in VIT-AP University 11th June 2022
  • Attended a 5 day online workshop on ““Artificial Intelligence & Machine Learning Techniques for Data Analytics” in National Institute of Technology, Tiruchirappalli 15th to 19st Feb 2021
  • Attended a 5 day workshop on “Technical Report Writing using Latex “in VIT-AP University 05th to 09st April 2021
  • Attended a one week national level online on “Internet of things and artificial intelligence Applications” in KL Deemed to be university 01th to 06st June 2020.
  • Attended a one day webinar on “Data Science and Career Opportunities” in Hindu College of Engineering and technology 06st June 2020.
  • Attended a one day online seminar on “Current Trends and Applications of artificial intelligence” in RVR&JC College of Engineering 29st May 2020.
  • Attended a one week online FDP on “Deep learning and its Applications” in Malla Reddy Engineering College 07th to 12st December 2020.
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