B.E (Electronics and Communication) M.E.( Digital Communication) (Ph.D) Bio-Medical Signal Processing Doing PhD under VTU. Guide: Dr. Vijaya Krishna A
M.E(Digital Communication), BMSCE 2000
Associate Professor, PES University, 2007-Till date
Experience : 26 Years of teaching experience
Expertise field : Embedded Systems, Signal and Image processing, Machine Learning
B.Tech.: Signals and Systems ; Applied Electronics and Microprocessors; Computer Communication Networks; Microprocessors; Computer Organization; Microcontrollers - 8051, PIC, Motorola, ARM, MSP; Basic Electronics ; Mobile Communication; Digital Switching Systems; Optical Communication; Communication Engineering; Programming in C++; Information Theory and Coding; Microwave Engineering; Pattern Recognition and Classification;Real time Systems;RTOS;Artificial Neural Networks;Logic Design. Ubiquitous and Pervasive Computing Machine Learning Digital Image Processing
1. Class Incharge for UG and PG classes, Anchor for ITC, LD,Basic Electronics, Lab In-charge for various labs like Basic Electronics, Logic Design, Communication Engineering, Microcontrollers Etc., Alumni Co-ordinator, Process Co-Ordinator, Department NBA Co-ordinator, NAAC Co-Ordinator, TEQIP Co-Ordinator, Faculty Advisor, VTU Squad Member, Member BoS,Disciplinary committee member
Attended various workshops/FDPs on RTOS, Embedded systems, Bio- medical signal and Image processing and Pattern Recognition, Research Methodologies.
Conducted various workshops/FDPs for students and faculty on RTOS, Embedded systems, Bio- medical signal and Image processing and Pattern Recognition, Yoga, Mudras ,Faculty Enrichment Programs, Health Camps.
IQAC Co-Ordinator Time Table Officer Anchor for various Core, Lab and Elective courses Digital Co-Ordinator Domain Syllabus committee member Faculty Advisor
1. Doing PhD under VTU in Bio-Medical Image Processing under the guidance of Dr. Vijaya Krishna A.
Research Projects (Current)
2. Working on biomedical Signal Processing - EEG , FMRI and PET data
3. Has undergone two months training at NIMHANS. Worked on Brain EEG, fMRI and PET data analysis (Alzheimer's and Epilepsy)
4. Continuing to work in association with NIMHANS.
Thermal Image Processing and Analysis for Surveillance UAVs;ICTCS 2020 - Jaipur ( Springer LNNS series ) 11-12 December 2020
Automatic License Plate Recognition of Bikers with No Helmets;2020 IEEE 17th India Council International Conference (INDICON), 11- 13 December 2020 at NSUT, Delhi.
Visually Meaningful Encrypted Images using Arnold Transform and Other Transforms; 2018 International Conference on Computing, Power and Communication Technologies (GUCON)
Texture Analysis of Brain Mr Images;2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)
Genetic Algorithm and Chaotic Maps based Visually Meaningful Image Encryption;TENCON 2019-2019 IEEE Region 10 Conference (TENCON)
Detection of Melanoma using Deep Learning Techniques;2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)
Design of Improved Canny Edge detection Algorithm
Implementation of low frrequency transceiver on FPGA
Removal of PLI and high frequency artifacts from ECG signal using Reconfigurable FFT/IFT filters
Robotic Arm through Human Hand Gestures Using Zigbee Technology
FPGA implementation of Fault Response Mechanism for RPRHybrid Network
VCASAN, International Conference->Cache based fault detection and recovery scheme for Quadcore MPSOCs
VCASAN - 2013->Task Migration for 3x3 tile based NOC architecture
Cache based fault detection and recovery scheme for MPSOCs ->Wireless Communication and Signal processing