National Institute of Technology

Educational Qualifications

Ph. D, School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Odisha, India, 2022
B.Tech., Electronics and Communication Engineering, JNTUA College of Engineering Pulivendula, Andhra Pradesh, India, 2014

Professional Experience

Worked as Senior Project Associate under the Nottingham Trent University research project RP285 titled ”EU Erasmus DIVERSASIA project – Embracing diversity in ASIA through the adoption of inclusive open practices” in the school of electrical sciences, IIT Bhubaneswar from 01.04.2022 to 31-07-2022.
Worked as Research Associate-I under the project of ”Development of an Affordable Wearable IoT-GPS Enabled Intelligent Vital Signs Monitor for Smart Health Monitoring Services” with grant support by Indian Council of Medical Research (ICMR), New Delhi, INDIA.” in the Department of Electrical Engineering, IIT Palakkad from 12.10.2022 to 25-10-2022.
Worked as Adhoc faculty in IIIT Kottayam, Kerala from 26-10-2022 to 11-07-2023 .
Woking as Assistant Professor Grade-II in the Department of ECE, NIT Calicut, Kerala from 12-07-2023 to till date.

Journals

S. K. Jose and N. K. R. Gangireddy, "Energy-Efficient Atrial Fibrillation Detection From Compressive Sensing-Based ECG Using a Lightweight CNN–BiLSTM Model for Resource-Constrained Wearable Health Monitoring Systems," in IEEE Sensors Journal, vol. 26, no. 14, pp. 21098-21107, July15, 2026, doi: 10.1109/JSEN.2026.3697094
S. K. Jose and N. K. R. Gangireddy, "A Digital Compressed Sensing Framework With Optimized Measurement, Quantization, and Sparse Recovery for IoT-Enabled Wearable Edge ECG Health Monitoring Devices," in IEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 1-10, 2026, Art no. 4006510,
G. N. K. Reddy, M. S. Manikandan, N. V. L. N. Murty and Linga reddy Cenkeramaddi “Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices,” IEEE Access, ,vol. 11, pp. 41708-41740, May, 2023.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-time Health Monitoring Devices," IEEE Access, vol. 10, pp. 15707-15745, January, 2022.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``On-Device Integrated PPG Quality Assessment and Sensor Disconnection/Saturation Detection System for IoT/Smartphone Health Monitoring," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 9, pp. 6351-6361, Sept. 2020.

Conferences

A. Sivanji and G. N. K. Reddy, "Atrial Fibrillation Detection Using FFT Magnitude Spectrum of PPG Signal with 1D CNN," 2025 IEEE Pune Section International Conference (PuneCon), Pune, India, 2025, pp. 1-6, doi: 10.1109/PuneCon67554.2025.11379060.
A. Raj and G. N. K. Reddy, "ResNet-Based Deep Learning for Non-Invasive Blood Pressure Classification Using Filtered PPG Signals in Continuous Crew Health Monitoring," 2025 IEEE Space, Aerospace and Defence Conference (SPACE), Bangalore, India, 2025, pp. 1-6, doi: 10.1109/SPACE65882.2025.11171111.
P. Shibu and G. N. K. Reddy, "CNN Based Plant Leaf Disease Detection Using Raw Leaf Images for Efficient Plant Health Monitoring in Agricultural IoT," 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), KOTTAYAM, India, 2024, pp. 1-6, doi: 10.1109/SPICES62143.2024.10779936
F. B. E P and G. N. K. Reddy, "Machine Learning Based Lung Sound Analysis Using MFCC Features," 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), KOTTAYAM, India, 2024, pp. 1-6, doi: 10.1109/SPICES62143.2024.10779841
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Integrated Data Compression and Pulse Rate Extraction Scheme Using Differential Coding for Wireless PPG Monitoring Devices", in Proc. 13th Int. Conf. Industrail and Information System (ICIIS), IIT Ropar pp. 48-53. IEEE, 2018.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Lightweight Compressed Sensing (CS) and Partial DCT Based Compression Schemes for Energy-Efficient Wearable PPG Monitoring Devices," in Proc. Int. Conf. Health, Instrumentation & Measurement, and Natural Sciences (InHeNce), pp. 1-6, IEEE, 2021.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Performance of Spectral, Autocorrelation and Peak Count Based PR Estimation Methods Under Normal/Abnormal PPG for Wearable Devices," in Proc. Int. Conf. Health, Instrumentation & Measurement, and Natural Sciences (InHeNce), pp. 1-6, IEEE, 2021.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Predictive Coding With Simultaneous Extraction of Pulse and Respiration Rates From PPG Signal for Energy Constrained Wearable Devices," in Proc. IEEE 4th Int. Conf on Bio-engineering for Smart Technologies (BioSMART 2021), pp. 1-4, Paris, France, 8-10 December, 2021.
G. N. K. Reddy, M. S. Manikandan and N. V. L. N. Murty, ``Information Theoretic Metrics for Automatic Quality Assessment of Processed PPG Signals,” in Proc. IEEE 3th Int. Conf on Electrical & Electronic Engineering (ICEEE 2021), pp. 157-160, Bangladesh, 22-24 December, 2021.
G. N. K. Reddy, M. S. Manikandan and Ram Bilas Pachori, “Automated Hilbert Envelope Based Respiration Rate Measurement from PPG Signal for Wearable Vital Signs Monitoring Devices,” in Proc. International Conference on Artificial Intelligence of Things Istanbul, Turkey, 29-30 December, 2022

Courses Taught (July, 2023 - December, 2023)

EC3060D: Computer Organization and Architecture
EC1001E: Professional Ethics
EC4092: Seminar
EC1091E: Practical Electronics

Courses Taught (January, 2024- May, 2024)

EC1092E : Digital Systems Lab
EC3023D: Control Systems

Courses Taught (July, 2024- December, 2024)

EC3013D: Digital Signal Processing
EC4061D: Biomedical Signal Processing
EC2091E Analog Circuits Lab

Courses Taught (January, 2025- May, 2025)

EC1011E Electric Circuits and Networks
EC4061D Biomedical Signal Processing

Courses Taught (July, 2025- December, 2025)

EC3002E Digital Signal Processing (Theory and Lab)
EC3069E Biomedical Signal Processing

Courses Taught (January, 2026- May, 2026)

EC2011E: Foundations of Machine Learning (Theory and Lab)
EC3069E: Biomedical Signal Processing

Courses Teaching (July, 2026- December, 2026)

EC3002E : Digital Signal Processing (Theory and Lab)

Ph.D Thesis (Ongoing)

1. Deep Learning Based Detection of Cardiac Arrhythmias Using Compressed ECG Signals for Wearable Health Monitoring ( Sajeev K Jose P240248EC)

2. Blood Pressure Measurement using Compressive Sensing PPG signal for Wearable Health Monitoring (Dudekula Nayabrasool P250084EC )

M.Tech Projects (Completed)

1. Deep Learning Based PPG Signal Analysis for Automated Blood Pressure Prediction (Anish Raj M230967EC )

2. FPGA Implementation/Simulation of Configurable Ultrasound Pulsar Receiver Module, ( Chetan Nagaraj Patrad (M230679EC) Guide: Dr. Anudeep V , Co Guide: Dr. G. Narendra Kumar Reddy )

3. Deep Learning Based Human Emotion Recognition using EEG Signals (Govind Kumar M240808EC)

4. VLSI Implementation of PPG Waveform Delineation Method for Energy Efficient Vital Sensing Divices ( Bikash Chandra Barik, M241003EC)

5. VLSI Implementation of Spectrogram for Edge AI Sound Analytics (Salini, M240869EC)

M.Tech Projects (Ongoing)

1.Non-Invasive Blood Glucose Estimation Using PPG Signal with Machine Learning or Deep Learning (Godha Rudreshwar Goud, M250773EC)

2. FPGA Implementation of Digital Compressive Sensing for PPG Based Cardiac Monitoring in Energy Efficient Wearable Devices (Devalapalli Sai Nikhil M251002EC )

3. FPGA Based Implementation of Cuffless Blood Pressure Estimation Using PPG Signals ( Penchala Shashank (M251034EC)

4. Hardware Accelerator for Biomedical Applications (Pedduri Shanthan(M250941EC))

B.Tech Projects (Completed)

1. Deep Learning Based Multimodal Emotional Recognition ( B201013EC Padi Pranav Reddy, B200985EC Poluparthi Venkata Chandra Mani Kumar, B200986EC Pradeep Kumar Puchala, B201030EC Kota Abhishek )

2. Deep Learning Based ECG Analysis ( B200979EC Ganta Vamsi Satya Vishnu, B200968EC Charugundla Sai Praneeth, B201001EC G Dhanesh, B200955EC Dumpala Keerthi )

3. Development and Implementation of An AI Enhanced Advanced Driver Assistance System. ( B210600EC Akhil S Kumar, B210748EC Aswankumar Satheesh, B210599EC Johan C Binu, B210604EC Sachin P Sm B210762EC Singiri Varalakshmi )

4. Deep Reinforcementt Learning Based Improvements In Collision Avoidance for UAV's (ANANY SINGH B210666EC, Chirag A B210621EC, Diya J B210727EC, Ashi S B210602EC)

5. Deep Learning Based Fetal Heart Rate Estimation from Noninvasive Abdominal ECG Signals (G.Kedhareshwar B220859EC, G.Harshith Reddy B220858EC, A.Bhoopathi B220673EC, P.Gowtham B221120EC, Pathivada Shashank B220458EC)

6. Deep Learning Based Classification of Arrythmia Using PPG Signals (D.Apoorva B220832EC, G.Poojitha B220296EC, D.Sai Sudeepa B220831EC, D.Nikhil B220259EC, GV Kailash Nath B210750EC)

7. Deep Learning Based Baby Cry Detection and Classification for Smart Infant Monitoring (B230790EC Althi Karthik, B230486EC Patan Hurbanu Khanam, B230505EC Pudi Govardhan, B231235EC Shaik Hadeesa, B230596EC Uggina Harshavardhan)

8. Design and Development of a Multiparameter Physiological Monitoring System Using PPG Signal ( B230548EC Sasubilli Venkata Sri Sai Manichandran, B230606EC Vathumilli Aravind, B231318EC Vanjarapu Ranjith Kumar, B231344ECYaganti Venkata Rama Santhosh)

Summer Internship -2025

Name	State	Duration	Topic
Alluri Sivanji	Tamil Nadu	1 month	Detection of Atrial Fibrillation Using Frequency-Domain Enhanced PPG Signals via Deep Learning
Asiya Jannah O.V	Kerala	2 months	Cuffless Continuous Blood Pressure Estimation using Photoplethysmography (PPG)
Jacob Seenu	Karnataka	1 month	Study and Implementation of Basic Signal Processing and Machine Learning Algorithms
Adhyayan Mahato	Jharkhhand	2 months	Deep Learning Based Respiratory Rate Measurement using PPG Signals
Kumudini S	Tamil Nadu	2 months	Arrhythmia Detection from ECG Signals Using Convolutional Neural Networks
Kavisha Sharma	Gujarat	1 month	Emotion Classification using Raw EEG Signals and Extracted Features with Deep Learning

Summer Internship- 2026

Sl. No	Name of the intern	Institute	Period of internship	Topic
1	Aditya Raj Bhushan	Vellore Institute of Technology, Vellore, Tamil Nadu	17/05/2026 to 17/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
2	Advait R	Goverment Model Engineering College, Ernakulam, Keralam	18/05/2026 to 15/07/2026	Automatic Power Quality Disturbance Detection and Classification System
3	Alan Cherian	NSS College of Engineering Palakkad, Palakkad, Keralam	15/05/2026 to 15/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
4	Anaranya Ghosh	Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha	12/05/2026 to 12/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
5	Anugraha Jayakrishnan	College Of Engineering Trivandrum, Thiruvananthapuram, Keralam	15/05/2026 to 12/07/2026	Arterial Stiffness Estimation Using PPG Signals
6	C.V. Sai Sreeharshitha	JNTUA College Of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	Sleep Stage and Disorder Classification Using PPG Signals
7	Dhandu Prathiha	JNTU College of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	ECG-Based Heart Rate Variability Analysis
8	E Vismaya	Government Engineering College Kozhikode, Kozhikode, Keralam	15/05/2026 to 15/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
9	Eddala Teja	JNTUA College Of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	Sleep Stage and Disorder Classification Using PPG Signals
10	Gowthami Kethari	JNTUA College Of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	Automatic Snoring Detection Using Respiratory Sound Signals
11	Kenche Sudha Priya	JNTUA College of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	Automated Pineapple Disease Classification Using Deep Learning Models
12	Lingutla Satwika	JNTUA College of Engineering, Pulivendula, Andhra Pradesh	03/05/2026 to 26/06/2026	Automatic Snoring Detection Using Respiratory Sound Signals
13	Mayur Jalan	Birla Institute of Technology Off Campus Deoghar, Deoghar, Jharkhand	11/05/2026 to 11/07/2026	Automated Tomato Leaf Disease Detection Using Machine Learning and Deep Learning
14	Palnati Hema	Lakireddy Bali Reddy College of Engineering (LBRCE), Mylavaram, Andhra Pradesh	15/05/2026 to 14/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
15	Rashi Jha	Vellore Institute of Vellore, Vellore Campus, Tamil Nadu	14/05/2026 to 12/07/2026	Automatic Power Quality Disturbance Detection and Classification System
16	Rudranshu Mishra	Vellore Institute Of Technology , Vellore Campus, Tamil Nadu	14/05/2026 to 12/07/2026	Automatic Power Quality Disturbance Detection and Classification System
17	Sai Pranav Sivalenka	B V Raju Institute of Technology, Medak, Telangana	12/05/2026 to 10/07/2026	EMG-Based Hand Gesture Recognition Using Machine Learning and Deep Learning Techniques
18	Sandipogu Harshitha	JNTUA College of Engineering Pulivendula, Andhra Pradesh	07/05/2026 to 07/07/2026	ECG-Based Heart Rate Variability Analysis
19	Shivamani Yama	Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana	06/06/2026 to 07/07/2026	Pulse Rate Variability Analysis Using PPG Signals
20	Surat Bhushan	Dayalbagh Educational Institute, Dayalbagh, Agra, Uttar Pradesh	15/05/2026 to 12/07/2026	Automatic Power Quality Disturbance Detection and Classification System
21	Tejovardhan Bandi	Vignan's Lara Institute Technology And Science, Vadlamudi, Guntur District , Andhra Pradesh	23/05/2026 to 15/07/2026	Sleep Stage and Disorder Classification Using PPG Signals
22	Unnikrishnan V S	Sree Chithra Thirunal College of Engineering, Thiruvananthapuram, Keralam	15/05/2026 to 15/07/2026	Automated Rice Leaf Disease Detection Using Deep Learning and Transfer Learning
23	Viswajith P	College of Engineering Trivandrum , Trivandrum , Keralam	15/05/2026 to 15/06/2026	Pulse Rate Variability Analysis Using PPG Signals

Signal Processing (Denoising, Compression, Signal Quality Assessment and Feature Extraction
Energy-Efficient Strategies for IoT Enabled Health Monitoring
Artificial Intelligence Framework for Improving Diagnostic Accuracy and Reducing False Alarms
Compressed Sensing and Sparse Representation

DEPARTMENTS

Dr. Gangireddy Narendra Kumar Reddy

Dr. Gangireddy Narendra Kumar Reddy

DEPARTMENTS

Dr. Gangireddy Narendra Kumar Reddy

Dr. Gangireddy Narendra Kumar Reddy

Educational Qualifications

Professional Experience

Publications

Teaching

Project Guidance

Research Area