Dr. Umamaheswari Thippaluru

About

Associate Professor in the Department of Electronics and Communication Engineering at K.S.R.M. College of Engineering, with 14 years of academic and research experience. Research interests include Image Processing, and Medical Image Analysis, with a focus on AI-based breast cancer detection. Currently serving as an NBA Coordinator, with active involvement in academic quality assurance, accreditation, teaching, and research.

Employment

• K.S.R.M. COLLEGE OF ENGINEERING Associate Professor
  2022 - Present
• SV College of Engineering Assistant Professor
  2019 - 2022
• chaithanya Bharathi Institute of Technology Assistant Professor
  2018 - 2019
• Siddharth institute of engineering &technology Assistant Professor
  2010 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Cloud-Enabled IoT based System for Real Time Manhole Monitoring and Alerting
  Proceedings of the 5th International Conference on Computer Networks Big Data and Iot Iccbi 2026 2026 DOI: 10.1109/ICCBI68589.2026.11619738
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• Impact of Activation Functions on Deep Learning Models Based on Meta-heuristics Algorithms for the Diagnosis of Breast Cancer
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-31097-2_16
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• Peer Review for Network Modeling Analysis in Health Informatics and Bioinformatics
  Springer Nature 2026
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• AN INTELLECTUAL DEEP LEARNING STRATEGY FOR BREAST CANCER DIAGNOSIS USING 3D TRANS-RESUNET3+ ASSISTED SEGMENTATION MECHANISM
  BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS 2025 DOI: 10.4015/S1016237225500176
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• LiFi In Disaster Management: A Case Study Of Dam Monitoring
  2025 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2025 2025 DOI: 10.1109/RAEEUCCI63961.2025.11048265
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• peer review for International Journal of Cognitive Computing in Engineering
  ELSEVIER 2025
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• CNN-FS-IFuzzy: A new enhanced learning model enabled by adaptive tumor segmentation for breast cancer diagnosis using 3D mammogram images
  KNOWLEDGE-BASED SYSTEMS 2024 DOI: 10.1016/J.KNOSYS.2024.111443
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• ViT-MAENB7: An innovative breast cancer diagnosis model from 3D mammograms using advanced segmentation and classification process
  COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024 DOI: 10.1016/J.CMPB.2024.108373
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• Literature Review on Breast Cancer Diagnosis using 3D Images: Methods and Performance Analysis
  2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) 2021 DOI: 10.1109/icosec51865.2021.9591861
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• Peer Review for Scientific Reports
  Springer Nature
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