Dr Sriram Kumar P

vidwan id: 347589

Male

Assistant Professor (Senior Grade),

0000-0002-8604-2329 Google Scholar Icon

58453354400 Google Scholar Icon

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Expertise

Telecommunications

Publications

Total Articles 8

Books 0

Proceedings 0

Publications

Scopus

Citations 5

h-index 1

CrossRef

Citations 0

h-index 0

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Professional Recognition

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Community & Membership

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Bio

Signal systems, VLSI, Basic Electronics, Machine learning, and Deep learning

Personal Details

Male
Assistant Professor (Senior Grade)
Modallaguda (V), Nandigama(M)

Ph.D

Other Institute 2024

MASTER OF ENGINEERING

Vasavi College of Engineering 2009

B.Tech

Other Institute 2007

Assistant Professor (Senior Grade) Dec 2024 – Present

Unknown Organization

Associate Professor Jul 2024 – Nov 2024

Malla Reddy University | Information Technology

Assistant Professor Feb 2012 – Jun 2024

Goka Raju Ranga Raju Institute of Engineering & Technology | Electronics and Communication Engineering

Assistant Professor Jun 2010 – Apr 2011

Jyothishmathi Institute of Technology and Science | ECE

Related Profiles

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Assistant Professor

Assistant Professor

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Assistant Professor

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Doctor

Assistant Professor (Grade-I)

Dr N PRAKASH

Assistant Professor

Mr Mrinmoy Sadhukhan

Research Scholar

Mr Haranath Rakshit

Junior Research Fellow

Organisation (0)

Co-Authors (1)

Dr A R Jac Fredo

Indian Institute of Technology (BHU), Varanasi

Scholarly Work

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Scholarly Publications

Emotion Classification Through Optimal Segments of EDA and Texture Analysis of Time-Encoded Images With Artificial Intelligence

Open Access

article

IEEE Transactions on Instrumentation and Measurement. Year: 2025. Volume: 74 , Pages: 2501615 .

Authors: Sriram Kumar P

10.1109/TIM.2024.3500058

Deep Learning-Based Automated Emotion Recognition Using Multi modal Physiological Signals and Time-Frequency Methods

Open Access

article

IEEE Transactions on Instrumentation and Measurement. Year: 2024.

Authors: Sriram Kumar P

Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning

Open Access

Article

International Journal of Neural Systems. Year: 2024. Volume: 34 , Issue: 5 .

Authors: Kumar S.;Agastinose Ronickom J.F.

10.1142/S0129065724500278

Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques

Open Access

article

Expert Systems with Applications. Year: 2024.

Authors: Praveen Kumar Govarthan, Sriram Kumar P

A COMPARATIVE ANALYSIS OF EDA DECOMPOSITION METHODS FOR IMPROVED EMOTION RECOGNITION

Open Access

article

Journal of Mechanics in Medicine and Biology. Year: 2023.

Authors: Sriram Kumar P

ECG based Categorical emotion classification using time-domain features and Machine Learning

Open Access

article

Current Directions in Biomedical Engineering. Year: 2023.

Authors: Swarubini PJ, Sriram Kumar P

ELECTRODERMAL ACTIVITY-BASED ANALYSIS OF EMOTION RECOGNITION USING TEMPORALMORPHOLOGICAL FEATURES AND MACHINE LEARNING ALGORITHMS

Open Access

article

Journal of Mechanics in Medicine and Biology. Year: 0000.

Authors: Sriram Kumar P

Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection

Open Access

article

Biomedical Signal Processing and Control. Year: 0000.

Authors: Barigala Vinay Kumar a, Swarubini P.J. b, Sriram Kumar P