0000-0001-7392-478X About
CAREER OBJECTIVE
To be an astute learner and the best performer in the organization, So that I can build an innovative career in the esteemed organization by using my skills and other significant talents.
PROJECT PROPOSALS
1. Submitted a project Proposal for setting up of “ROBOTICS LAB” at CIT Gubbi, to VGST during the academic year 2015-16.
2. Submitted a Proposal for SC/ST ABIYAN under VGST, GoK.
AWARDS AND ACHIEVEMENTS
Reviewer for journal “BioMedical Engineering OnLine” A part of Springer Nature.
Awarded with Gold Medal for securing First Rank from VTU in M.Tech.
Awarded as the best Outgoing Student of ECE branch during 2005-06.
Awarded with “Special recognition award” for the significant contribution to the college on the occasion of August 15th 2019
CONTRIBUTIONS TO INSTITUTION
Channabasaveshwara Institute of Technology, Gubbi secured an All India Rank of 1390 out of 2830 colleges participating in Internshala- Internship Day 2019.
Certificate of Recognition for the enthusiastic efforts put in to up-skill learners during GUVIs RPA SKILL-A-THON 2020
Certificate of Appreciation in recognition of valued services and contributions as IEEE student Branch Counselor of Channabasaveshwara Institute of Technology, Gubbi for the year 2020.
RESPONSIBILITIES HANDLED
1. Institutional level internal Assessment Coordinator
2. Coordinator for conduction of tcs-ion online exams.
3. Associate ISO MR and department ISO coordinator.
4. Institutional NAAC coordinator for Critreria -2.
5. Conducted various activities through CIT-IEEE SB.
6. Organized and conducted various activities for the overall development of students through cit- youth empowerment cell.
7. Conducted several activities during the training and placement process as a part of personality development.
Employment
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Channabasaveshwara Institute of Technology Professor and Training and Placement Officer2009 - Present
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S R A- JAPAN DESIGN ENGINEER2007 - 2009
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- EEG and speech signal based multi-class recognition manoeuvre by exploiting a Hyb-SGTS and a dual stage deep CNN architecture for an early diagnosis of HC, AD and PD neurological diseases Save
- Multi-class Recognition of Alzheimer’s and Parkinson’s diseases using Bag of Deep reduced Features (BoDrF) with Improved Chaotic Multi Verse Harris Hawks Optimization (CMVHHO) and Random Forest (RF) based classification for early diagnosis Save
- Multiclass recognition of Alzheimer's and Parkinson's disease using various machine learning techniques: A study Save
- Implications of EEG and Speech Signal in the Analysis of Neurological Disorders-A Survey Save
- Human Emotion Classification from EEG using SVM and K-NN Classifier for BCI Save