Dr. MAHANTESH MATHAPATI

About

Dr. Mahantesh Mathapati is working as Professor in Computer Science & Engineering Dept., Amruta Institute of Engineering and Management Sciences ,Bengaluru. He Recieved B.E , MTech & PhD from Visveswaraya Technological University, Belagavi. He has got teaching, research and administrative experience of more than 18 years in various engineering colleges, autonomous institutions. He has published more than 30 papers in national and international conferences and in international journals. He is working as editorial board member of many journals. He has reviewed dozens of papers in many journals. He is a Life member of the ISTE. He has given a number of guest lecturers/expert talks and seminars, workshops and symposiums. He has also guided more than 2 dozen projects (UG/PG) in various engineering colleges. His research interests are Wireless Sensor Networks,IoT, Artificaial Intelligence,Data Science, Machine learning,Deep Learning and Imagae Processing

Employment

• AIEMS Professor

Education

• BMSCE M.Tech
  2008 - 2010
• REC Bhalki B.E.
  2000 - 2004
• Visvesvaraya Technological University Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• A Semantic-Aware File Metadata Generation Framework for Disk-Level Anomaly Detection in Virtual Machine Backups
  Cybernetics and Information Technologies 2026 DOI: 10.2478/cait-2026-0021
  +Save
• Framework for detecting and resisting cyberattacks on cyber-physical systems in internet of things
  International Journal of Electrical and Computer Engineering (IJECE) 2024 DOI: 10.11591/ijece.v14i6.pp7169-7177
  +Save
• An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments using Self Attention Generative Adversarial Capsule Network
  Journal of Circuits, Systems and Computers 2024 DOI: 10.1142/S0218126625500173
  +Save
• OCC-MP: An optimal cluster based congestion aware technique multipath routing protocol in WSN using hybrid evolutionary techniques
  Measurement: Sensors 2024 DOI: 10.1016/j.measen.2023.101007
  +Save
• APOA based Multi-scale Parallel Convolution Blocks with Hybrid Deep Learning for Gastric Cancer Prediction from Endoscopic Images
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390430
  +Save
• Deep Learning Based Privacy Preserving for Object Classification Using High-Resolution Satellite Images
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390110
  +Save
• Fleet Load Charge Forecasting in Electric Vehicle Using Hybrid Deep Learning Model: LSTM-AQOA
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390063
  +Save
• Fog Computing based Privacy Preservation via Distributed Access Control System in Blockchain Technology
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390379
  +Save
• Improvisation of QoS in SDN-Frame Work for UAV Networks Using Dijkstra Shortest Path Routing Algorithm
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390343
  +Save
• SOA Based Improved Convolutional Neural Network for Detection of DDoS Attack in Banking Dataset
  2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) 2023 DOI: 10.1109/aikiie60097.2023.10390178
  +Save