Ajay Prinston Pinto
Srinivas Institute of Technology, iQmetrics Solutions Private Limited, Visvesvaraya Technological University, Mangalore Institute of Technology and Engineering
About
Mr. Ajay Prinston Pinto is an accomplished academic and researcher currently serving as an Assistant Professor in the Department of Artificial Intelligence and Data Science Engineering at SIT, Mangalore. He is pursuing Ph.D. from VTU Belagavi with research focused on epileptic seizure detection using EEG and ECoG signals through advanced machine learning frameworks. Completed an Executive Postgraduate Program in Data Science with AI/ML from IIT Roorkee. With a strong foundation in electronics and communication, supported by an M.Tech (University 3rd Rank) and B.E. from Adichunchanagiri Institute of Technology, Mr. Pinto brings over a decade of academic experience. His work includes multiple patents—both national and international—covering innovations in neural networks, signal processing, and resource management systems. He has published in reputed journals and conferences and has led several nationally recognized student innovation projects. Additionally, he has delivered invited talks, conducted workshops, and participated in numerous faculty development programs. Proficient in Python, SQL, and academic research, and is actively engaged in training, consultation, and interdisciplinary teaching.
Employment
-
Srinivas Institute of Technology Assistant Professor2024 - 2026
-
iQmetrics Solutions Private Limited Director2020 - 2024
-
Mangalore Institute of Technology and Engineering Assistant Professor2014 - 2020
-
Srinivas School of Engineering Assistant Professor2012 - 2014
Education
-
Visvesvaraya Technological University Master of Technology2010 - 2012
-
Visvesvaraya Technological University Engineering2006 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (4)
- A Comprehensive Review of EEG Signals Based on Epileptic Seizure Detection Save
- Multimodal Coherence-Correlation Fusion of EEG and ECoG Signals for Enhanced Epileptic Seizure Detection Using Discrete Lyapunov Wavelet Transform Save
- FPGA Implementation of Parallel Transformative Approach in AES Algorithm Save
- Memory architecture quad core risc processor on altera FPGA de nano board Save