AWARI HARSHAVARDHAN
Senior Assistant Professor, Department of CSE (AIML & IoT) · Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
Research Interests
Image Processing, Machine Learning, and Deep Learning
Biography
Career Profile: A highly dedicated, professional, and accomplished Computer Science Lecturer and Researcher with extensive knowledge of teaching and research in Computer Science. To work for an organization that will bring the best of my talent and utilizes my research and teaching skills to the fullest helps me achieve my and the organization's desired goals. Research Experience: Total research experience is 12 Years. Did the research on a new framework for brain tumor detection and classification in MRI images. A computer-assisted tool to automate the detection of a tumor area in MRI brain image(s). The automated approach should have the capability of localizing and segmenting the tumor area followed by the classification process, even in the low contrast MRI brain im
Education
Diploma In CSE B.Tech in CSE M.Tech in CSE Ph.D in CSE
Recent Scopus Publications
- Hybrid quantum–classical learning for MRI-based brain tumour diagnosis
- Unveiling Hidden Messages in an Image Using Cryptography and Steganography
- Bayesian Asymmetric Quantized Neural Networks for MRI/Mammography-Based Breast Cancer Identification in PTEN Hamartoma Syndrome
- EEG-Based Alzheimer’s Disease Diagnosis Using Savitzky–Golay Denoising and Discrete Cosine Krawtchouk–Tchebichef Transform Optimized by Pied Kingfisher Algorithm
- HYBRID DEEP LEARNING FRAMEWORK FOR INTRUSION DETECTION: INTEGRATING CNN, LSTM, AND ATTENTION MECHANISMS TO ENHANCE CYBERSECURITY
Links
- ORCID https://orcid.org/0000-0002-2559-9713
- Google Scholar https://scholar.google.com/citations?user=Z5vvSQsAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57200720586