Vanamala H R
Vanamala H R
Associate Professor
Associate Professor
About
B.E (Electronics and Communication) M.E.( Digital Communication) (Ph.D) Bio-Medical Signal Processing Doing PhD under VTU. Guide: Dr. Vijaya Krishna A
About
B.E (Electronics and Communication) M.E.( Digital Communication) (Ph.D) Bio-Medical Signal Processing Doing PhD under VTU. Guide: Dr. Vijaya Krishna A
Education
- M.E(Digital Communication), BMSCE, 2000
- (PhD), VTU
- B.E, PESIT, 1995
Experience
- Associate Professor, PES University, 2007 – Till date
Additional Information
- Experience : 26 Years of teaching experience
- Expertise field : Embedded Systems, Signal and Image processing, Machine Learning
Teaching
- 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 Rec
- M.Tech.: Advanced Computer Communication Networks; Advanced Embedded Systems; RTOS; RTS; Advanced Microcontrollers, Artificial Neural Networks, Advanced Computer Architecture Advanced Embedded Systems, Reinforcement Learning and Applications
Responsibilities
- 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
Research Interests
- 1. Doing PhD under VTU in Bio-Medical Image Processing under the guidance of Dr. Vijaya Krishna A.
Research Projects
- 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.
Conferences
- 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
Journals
- VCASAN – 2013->Task Migration for 3×3 tile based NOC architecture
Others
- Cache based fault detection and recovery scheme for MPSOCs ->Wireless Communication and Signal processing
Education
- M.E(Digital Communication), BMSCE, 2000
- (PhD), VTU
- B.E, PESIT, 1995
Experience
- Associate Professor, PES University, 2007 – Till date
Additional Information
- Experience : 26 Years of teaching experience
- Expertise field : Embedded Systems, Signal and Image processing, Machine Learning
Teaching
- 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 Rec
- M.Tech.: Advanced Computer Communication Networks; Advanced Embedded Systems; RTOS; RTS; Advanced Microcontrollers, Artificial Neural Networks, Advanced Computer Architecture Advanced Embedded Systems, Reinforcement Learning and Applications
Responsibilities
- 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
Research Interests
- 1. Doing PhD under VTU in Bio-Medical Image Processing under the guidance of Dr. Vijaya Krishna A.
Research Projects
- 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.
Conferences
- 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
Journals
- VCASAN – 2013->Task Migration for 3×3 tile based NOC architecture
Others
- Cache based fault detection and recovery scheme for MPSOCs ->Wireless Communication and Signal processing
Staff Contacts
Staff Contacts
- 8026721983 Extn 741
- vanamalahr@pes.edu
- Electronics & Communications
- 8026721983 Extn 741
- vanamalahr@pes.edu
- Electronics & Communications
- RR Campus
- RR Campus