Mr Rohith Bala Jaswanth B
Associate Professor
Seshadri Rao Gudlavalleru Engineering College
Andhra Pradesh
Expertise:
Electrical and Electronic Engineering
27
Publications
1
Projects
14
Scopus Citations
5
CrossRef
13 Years 4 Months Total Experience
Scopus
14
Citations
3
h-index
CrossRef
5
Citations
1
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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IE
RegularPersonal Details
Doctor of Philosophy
2023
N/A
Master of Technology
2011
N/A
Bachelor of Engineering
2008
N/A
Associate Professor
May 2013 – Present
Seshadri Rao Gudlavalleru Engineering College
Engineering and Technology
Scholarly Work
Design of Operational Transconductance Amplifier for ECG Applications using CMOS Technology(OTA
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Internet of Things and Artificial Intelligence based Grain Cleaning and Sorting with Machine Vision.
Rohith Bala Jaswanth B
-
Application No. :
202241051830 A
Filed :
11-09-2022
Published :
23-09-2022
Published
IOT based smart home model for assisting elderly people
Indian Patent
-
Application No. :
202211037454
Filed :
01-01-2022
Published :
08-07-2022
Filed
Design of Low power Operational Transconductance Amplifier and filter for ECG applications
Rohith Bala Jaswanth B
-
Application No. :
202141006907
Filed :
18-02-2021
Published :
26-02-2021
Published
Intelligent Accident Avoidance using Satellite Based Positioning System
Gudlavalleru Engineering College
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Application No. :
202041028920
Filed :
07-07-2020
Published :
31-07-2020
Published
Scholarly Publications
Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems
AgriTech Revolution: The Integration of IoT in Modern Farming Solutions
High-Frequency CMOS VLSI Circuits for Terahertz Communication Systems
Power-Efficient and Washable LED-Integrated Textiles: A Novel Approach in Wearable Technology
An IoT-Integrated Multimodal Deep Learning Framework for Real-Time Early Detection of Neurological and Cardiovascular Disorders
10.1109/ICCDS64403.2025.11209529
Scopus: 1
CT-LIVERNET: AN EFFICIENT DEEP LEARNING MODEL FOR LIVER LESION SEGMENTATION AND DIAGNOSIS
10.5281/zenodo.18260014
Scopus: 1
INTEGRATING ADVERSARIAL AUTOENCODERS WITH GATED RECURRENT UNITS TO IDENTIFY ANOMALIES IN ECG SIGNALS
Scopus: 3
Morphological Text Localization using wavelet and neural network
Showing 1 to 8 of 27 publications