Dr Mahantesh K
Professor
| Department of Computer Science and Engineering (Data Science)
R N S Institute of Technology, BANGALORE
Karnataka
Expertise:
Computer Science Artificial Intelligence
95
Publications
12
Projects
132
Scopus Citations
95
CrossRef
19 Years 2 Months Total Experience
Scopus
132
Citations
7
h-index
CrossRef
95
Citations
6
h-index
Google Scholar
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Professional Recognition
1st Runner-up -National level Rapid Prototyping Camp
2024
Edulateral Higher Educational Challenge
Best Project award - 2nd prize
2024
National Level VLSI & ES Project Exhibition - SILICONS EXPO’24 held at RNS Institute of Technology
Best paper award
2024
International Conference on Distributed Computing and Optimization Techniques (ICDCOT), IEEE
Best Project of the Year
2022
VTU Belagavi, DST (GoI) and KSCST (IISC - Bangalore).
Best Project - 3rd prize
2023
JVTM 2023 National level Project Exhibition, ACU
Best paper award
2021
Lecture Notes in Electrical Engineering (LNEE), Springer.
Recognized resource person
2020
National and International STTPs, FTPs, seminars, Workshops, FDPs & online webinars.
served as jury, organizing chair, symposium/session chair and as reviewer
2010
state/national project exhibitions, reputed International conferences & Journals
Best paper award
2024
IEEE - International Conference on Mobile Networks and Wireless Communications (ICMNWC)
Best paper award
2026
Springer (Nanyang Technological University, NTU@one-north, Singapore during 19-20 December 2025. ) -
Best paper award
2026
IEEE-IEEE - ICDCECE’26 Conference, Ballari, 3rd-4th July 2026.
Community & Membership
Board of Examiners - VTU
MemberVTU Innovative Project Selection Committee
Nominee & EvaluationAICTE Sponsored IEEE International Conference onNetworks
ReviewerFDP’s in association with Electronics & ICT Academy, NIT Warangal
Program CoordinatorAICTE Sponsored 6 Days STTP on Research and Applications of Artificial Intelligence and Ma
Program Evaluation Committee (PEC)MemberInternational Conference on Climbing andWalking Robots and Support Technologies for Mobile
PC MemberUniversity of Massachusetts Dartmouth, USA
Program coordinatorNIRF - India
Convener & Nodal OfficerBoard of Studies (BoS), Dept. of AI & ML, Dr. AIT, Bengaluru
MemberIEEE CONECCT
Program Track Co-chair & Session ChairIEEE - International Conference on Distributed Systems, Computer Networks and Cybersecurit
Technical program chairSpringer - International Conference on Intelligent Information Processing and Computing
Organizing ChairIEEE Aerospace and Electronic Systems Society
Student Branch advisorIndian Society For Technical Education
Life Member: LMISTE - LM86840Member Institution of Engineers
Life Member - M148203 - 8International Association of Engineers
Member - IAENG - 269609IEEE
Senior Member - 93967835Treasurer - IEEE ITS Bangalore Chapter
Senior Member - 93967835IEEE (ITSoc - Execom)
Senior Member - 93967835Personal Details
Doctor of Philosophy
2016
N/A
Master of Technology
2007
N/A
Bachelor of Engineering
2004
N/A
Professor
Jul 2026 – Present
R N S Institute of Technology, BANGALORE
| Department of Computer Science and Engineering (Data Science)
Associate Professor
Sep 2024 – Jul 2026
R N S Institute of Technology, BANGALORE
| Department of Computer Science and Engineering (Data Science)
Associate Professor
Jul 2007 – Aug 2024
S J B Institute of Technology, BANGALORE
Engineering and Technology
Scholarly Work
Real-time Edge Vision for industrial monitoring and anomy Detection
CompletedNeuro-Sync Beats: Transformer-based EEG Emotion Recognition using Differential Entropy Features
OtherA Haptic-Assisted Rehabilitation Glove for Medical Therapy
OtherNeuroVision: Deep Learning and BCI for AI-Enabled Assistive Devices
CompletedConvolutional Neural Network-based Visual Stimuli Classification using EEG Signals for Efficient Human-Computer Interaction
CompletedBrain Computer Interface and Computational Neuroscience Lab
OtherAn efficient Motor imagery classification technique for BCI Applications
CompletedIntelligent Device Control Using Brain Machine Interface
CompletedDesign and Development of BCIModel to assist Aged or Physically Challenged People
CompletedIoT Based Solutions for Health Care : Moving AI to the Edge
CompletedActivity Recogniton using Deep Learning Techniques
CompletedAn Automated Human Activity Recognition in Video Surveillance System
CompletedA Heuristic Framework for Secured IOT in Distributed Syste
Classification of Epilepsy in EEG Signals using Machine Learning Techniques
CIReS: Content based Image Retrieval System - Inspired by Deep Learning and Computer Vision Techniques
TERS: Text Extraction & Recognitition System from Natural Scene Images
Bus tracking and checking bus fullness
Mahantesh K
-
Patent No. :
202641039352
Filed :
20-03-2026
Published :
10-04-2026
Published
NeuroVision: Deep Learning and BCI for AI-Enabled Assistive Devices
Mahantesh K
Shreya J
Shirisha M
Uthsava Kumari
Rukmini K
-
Application No. :
202541079133 A
Filed :
20-08-2025
Published :
29-08-2025
Published
LOW-COST SELF-CHARGING HYBRID ELECTRIC BICYCLE
Dr. Chetana R
-
Patent No. :
202541019004 A
Filed :
04-03-2025
Published :
21-03-2025
Published
An Approach towards Development of a Smart Aeropoic System
Mahantesh K
-
Application No. :
202341059786
Filed :
10-08-2023
Published :
25-10-2023
Published
An FPGA-Based Implementation of Emotion Recognition Using EEG Signals
Mahantesh K
-
Application No. :
202241059396
Filed :
10-08-2022
Published :
20-10-2022
Published
An AI Enabled Prosthetic Arm for Rehabilitation and Advanced Arm Dynamics
Mahantesh K
-
Application No. :
202241045887
Filed :
15-06-2022
Published :
11-08-2022
Published
Facial Emotion Recognition and Detection in Python using Deep Learning
Mahantesh K
-
Application No. :
202141058233
Filed :
10-01-2022
Published :
30-11--0001
Published
Control Devices using BrainMachine Interface
Mahantesh K
-
Application No. :
202141036353
Filed :
05-08-2021
Published :
30-11--0001
Filed
Scholarly Publications
Smart Assistive Solutions: Convolutional Neural Networks in BCI for Enhanced Accessibility
Transformer-Based EEG Emotion Recognition Using Differential Entropy Features on the SEED-IV Dataset
YOLOv8-WIoU: Robust and Efficient Object Detection for Occluded and Non-Standard Vehicles in Unstructured Driving Environments
CerebralChat: A Hybrid 3D-CNN and BiLSTM Model for Imagined Speech Recognition from EEG Signals
Coslets: A Novel Approach to Explore Object Taxonomy in Compressed DCT Domain for Large Image Datasets
An exploration of Mixture Models to maximize between class scatter for object classification in large image datasets
An Impact of PCA-Mixture Models & Different Similarity Distance Measure Techniques to Identify Latent Image Features for Object Categorization
A Weighted Dominant Visual Descriptor for Object Categorization in Large Image Datasets
Showing 1 to 8 of 95 publications