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Dr. Rahul Krishnan Pathinarupothi

Associate Professor, School of Computing, Amritapuri

Qualification: B. Tech., Ph.D
rahulkrishnan@am.amrita.edu
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Research Interest: Healthcare AI, Wearable devices, Global Health, Non-invasive health assessment, Predictive analytics, Gen-AI
Date of Joining: 12/01/2019
Nature of Association: Regular

Bio Publications Qualification Experience Awards and Achievements Research Grants FDP/ Workshops Talks Delivered Membership
Bio

Dr. Rahul Krishnan Pathinarupothi currently serves as Associate Professor at School of Computing, Amritapuri and Co-Lead for Wireless Systems & AI for Health research group at the Amrita Center for Wireless Networks & Applications (AmritaWNA), Amrita Vishwa Vidyapeetham. Passionate about developing AI solutions for equitable access to healthcare in Global Health, he has 12+ years of research and development experience in the area of wireless healthcare systems, particularly in designing and developing data summarization algorithms, building predictive machine learning models for diseases, mobile visualization systems using AR/VR, and design of networking architecture and protocols for IoMT. He has 50+ peer reviewed Journal and Conference publications, 3 US, 2 India patents granted.

Research Group: Machine Learning & Artificial Intelligence, Wireless Healthcare Systems

Publications

Journal Article

Year : 2025

Artificial Intelligence in Videofluoroscopy Swallow Study Analysis: A Comprehensive Review

Cite this Research Publication : G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, K. Subramania Iyer, Artificial Intelligence in Videofluoroscopy Swallow Study Analysis: A Comprehensive Review, Dysphagia, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s00455-025-10812-8

Publisher : Springer Science and Business Media LLC

Year : 2025

A comprehensive review of computational diagnostic techniques for lymphedema

Cite this Research Publication : KR, Jayasree, Vijaykumar DK, Vijayan Sugumaran, and Rahul Krishnan Pathinarupothi. "A comprehensive review of computational diagnostic techniques for lymphedema." Progress in Biomedical Engineering, Volume 7, Number 2, IOP Publishing, 2025, https://dx.doi.org/10.1088/2516-1091/ada85a

Publisher : IOP Publishing

Year : 2024

Rapid Early Screening for Lymphedema Using Kinect

Cite this Research Publication : Sneha Noble, Uma Gopalakrishnan, D. K. Vijaykumar, Rahul Krishnan Pathinarupothi, Rapid Early Screening for Lymphedema Using Kinect, International Journal of Imaging Systems and Technology, Wiley, 2024, https://doi.org/10.1002/ima.70020

Publisher : Wiley

Year : 2024

IoMT and AI Enabled Time Critical System for Tele-Cardiac Rehabilitation

Cite this Research Publication : Shereena Shaji, Rahul Krishnan Pathinarupothi, Ramesh Guntha, Ravi Sankaran, Prakash Ishwar, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh, IoMT and AI Enabled Time Critical System for Tele-Cardiac Rehabilitation, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/access.2024.3409759

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores

Cite this Research Publication : Nandakumar A, Sudeep S, Sreemohan AC, Vijayakumar S, Sudhakaran GJ, Gutjahr G, Pathinaruporthi RK, Balachandran S, Chandra S, Purushothaman SS, Mohamed ZU, Nair SN, Moni M, Sathyapalan DT, Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores, Indian J Crit Care Med,2024.

Publisher : Indian Journal of Critical Care Medicine

Year : 2024

Deep Learning Supported Echocardiogram Analysis: A Comprehensive Review

Cite this Research Publication : Sanjeevi G., Uma Gopalakrishnan.,Rahul Krishnan Pathinarupothi., and Thushara Madathil., “Deep Learning Supported Echocardiogram Analysis: A Comprehensive Review,” Artificial Intelligence in Medicine, revised manuscript submitted in February 2024, (Under Review). Impact factor: 7.5

Publisher : Artificial Intelligence in Medicine

Year : 2023

Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation

Cite this Research Publication : Durga Padmavilochanan, Rahul Krishnan Pathinarupothi, K.A. Unnikrishna Menon, Harish Kumar, Ramesh Guntha, Maneesha V. Ramesh, P. Venkat Rangan, Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation, Smart Health, Elsevier BV, 2023, https://doi.org/10.1016/j.smhl.2023.100428

Publisher : Elsevier BV

Year : 2023

Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram

Cite this Research Publication : Sanjeevi, G., Gopalakrishnan, U., Pathinarupothi, R.K. and Madathil, T., 2023. Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram. Journal of medical systems, 47(1), p.13, Publisher: Springer Nature, Impact factor: 5

Publisher : Springer Nature

Year : 2022

Performance effectiveness of vital parameter combinations for early warning of sepsis—an exhaustive study using machine learning

Cite this Research Publication : Ekanath Srihari Rangan, Rahul Krishnan Pathinarupothi, Kanwaljeet J S Anand, Michael P Snyder, Performance effectiveness of vital parameter combinations for early warning of sepsis—an exhaustive study using machine learning, JAMIA Open, Oxford University Press (OUP), 2022, https://doi.org/10.1093/jamiaopen/ooac080

Publisher : Oxford University Press (OUP)

Year : 2021

Leveraging context-awareness for Internet of Things ecosystem: Representation, organization, and management of context

Cite this Research Publication : P Pradeep, S Krishnamoorthy, RK Pathinarupoth, AV Vasilakos, Leveraging contextawareness for Internet of Things ecosystem: Representation, organization, and management of context, Computer Communications, Elsevier 2021, https://doi.org/10.1016/j.comcom.2021.06.004

Publisher : ScienceDirect

Year : 2020

Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network

Cite this Research Publication : Ramesh, ManeeshaVinodini, Rekha Prabha, HemalathaThirugnanam, AryadeviRemanideviDevidas, Dhanesh Raj, Sruthy Anand, and Rahul Krishnan Pathinarupothi. "Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network." CSI Transactions on ICT 8 (2020): 213-230.

Publisher : CSI Transactions on ICT

Year : 2019

IoT Based Smart Edge for Global Health: Remote Monitoring with Severity Detection and Alerts Transmission

Cite this Research Publication : Rahul K Pathinarupothi, Durga P, and Ekanath Srihari Rangan, “IoT Based Smart Edge for Global Health: Remote Monitoring with Severity Detection and Alerts Transmission”, IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2449-2462, 2019.

Publisher : IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers Inc.

Year : 2018

Data to diagnosis in global health: A 3P approach

Cite this Research Publication : Rahul K Pathinarupothi, Durga P, and Ekanath Srihari Rangan, “Data to diagnosis in global health: A 3P approach”, BMC Medical Informatics and Decision Making, vol. 18, no. 1, Article number 78, 2018.

Publisher : BMC Medical Informatics and Decision Making, BioMed Central Ltd.

Year : 2015

Real- time Spatial Video Panorama using Iterative Compositing

Cite this Research Publication : Rahul K Pathinarupothi, P. Venkat Rangan, Balaji Hariharan, and Uma, R. N. G., “Real- time Spatial Video Panorama using Iterative Compositing”, International Journal of Applied Engineering Research (IJAER), vol. 10, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER),

Year : 2015

Automatic multi-perspective switching for gaze alignment in eLearning systems

Cite this Research Publication : Rahul K Pathinarupothi, ,, ,, and Uma, G., “Automatic multi-perspective switching for gaze alignment in eLearning systems”, International Journal of Applied Engineering Research (IJAER), vol. 10, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year :

Adaptive motif-based alerts for mobile health monitoring

Cite this Research Publication : E. Rangan and Rahul K Pathinarupothi, “Adaptive motif-based alerts for mobile health monitoring”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 192, pp. 168-176, 2017.

Publisher : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Conference Paper

Year : 2023

sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning

Cite this Research Publication : sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning IEEE SMARTGEN 2023 (Accepted and Presented)
Authors: Preetha Joseph, Rahul Krishnan Pathinarupothi, Ravi Sankaran

Publisher : IEEE

Year : 2023

Predicting the Blood Culture Positivity from Hematological Parameters using Machine Learning Model

Cite this Research Publication : Sreedhar, V., Moni, M., Sathyapalan, D.T., Thomas, J., Raj, J., Sidharthan, N. and Pathinarupothi, R.K., 2023, June. Predicting the Blood Culture Positivity from Hematological Parameters using Machine Learning Model. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-4)

Publisher : IEEE

Year : 2023

Rapid Detection of Penetration-Aspiration from Fluoroscopic Videos in Dysphagia Patients

Cite this Research Publication : Sanjeevi, G., Gopalakrishnan, U., Pathinarupothi, R.K., Arya, C.J. and Iyer, S., 2023, December. Rapid Detection of Penetration-Aspiration from Fluoroscopic Videos inDysphagia Patients. In 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 409-413). IEEE Computer Society.

Publisher : IEEE

Year : 2022

Deep Learning Pipeline for Echocardiogram Noise Reduction

Cite this Research Publication : Sanjeevi, G., Pathinarupothi, R.K., Uma, G. and Madathil, T., 2022, April. Deep Learning Pipeline for Echocardiogram Noise Reduction. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-6).

Publisher : IEEE

Year : 2021

Heart Lung Health Monitor: Remote At-Home Patient Surveillance for Pandemic Management

Cite this Research Publication : Shaji, S., Pathinarupothi, R.K., Rangan, E.S., Menon, K.U. and Ramesh, M.V., 2021, October. Heart Lung Health Monitor: Remote At-Home Patient Surveillance for Pandemic Management. In 2021 IEEE Global Humanitarian Technology Conference (GHTC) (pp. 127-130). IEEE.

Publisher : 2021 IEEE Global Humanitarian Technology Conference (GHTC) (pp. 127-130). IEEE.

Year : 2021

REWOC: Remote Early Warning of Out-of-ICU Crashes in COVID Care Areas using IoT Device

Cite this Research Publication : Pathinarupothi, Rahul Krishnan,Dipu T. Sathyapalan, Merlin Moni, KA Unnikrishna Menon, and ManeeshaVinodini Ramesh. "REWOC: Remote Early Warning of Out-of-ICU Crashes in COVID Care Areas using IoT Device." In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2010-2013. IEEE, 2021.

Publisher : IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Year : 2020

Comparison of Infrared and Red Photoplethysmography signals for Non-calibrated Non-invasive Blood Glucose Monitoring

Cite this Research Publication : Sruthi N. Nampoothiri, Rahul Krishnan Pathinarupothi, ManeeshaVinodini Ramesh, and KA Unnikrishna Menon."Comparison of Infrared and Red Photoplethysmography signals for Non-calibrated Non-invasive Blood Glucose Monitoring "In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE, 2020.

Publisher : In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE.

Year : 2020

Development of a Neural Network based model for Non-obtrusive Computation of BP from Photoplethysmograph

Cite this Research Publication : MP, Akshay Krishna, P. Durga, and Rahul Krishnan Pathinarupothi. "Development of a Neural Network based model for Non-obtrusive Computation of BP from Photoplethysmograph." In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1652-1655. IEEE, 2020.

Publisher : 2020 IEEE Region 10 Symposium (TENSYMP).

Year : 2019

Evaluation of predisposing factors of Diabetes Mellitus post Gestational Diabetes Mellitus using Machine Learning Techniques

Cite this Research Publication : Krishnan, Devi R., Gayathri P. Menakath, Anagha Radhakrishnan, YarranganguHimavarshini, A. Aparna, Kaveri Mukundan, Rahul Krishnan Pathinarupothi, BithinAlangot, Sirisha Mahankali, and Chakravarthy Maddipati. "Evaluation of predisposing factors of Diabetes Mellitus post Gestational Diabetes Mellitus using Machine Learning Techniques." In 2019 IEEE Student Conference on Research and Development (SCOReD), pp. 81-85. IEEE, 2019.

Publisher : 2019 IEEE Student Conference on Research and Development (SCOReD).

Year : 2018

When Less is Better: A Summarization Technique that Enhances Clinical Effectiveness of Data

Cite this Research Publication : Durga P, Rahul K Pathinarupothi, Ekanath Srihari Rangan, and Prakash Ishwar, “When Less is Better: A Summarization Technique that Enhances Clinical Effectiveness of Data”, in 8th ACM International Digital Health Conference (DH 2018), Lyon, France, 2018.

Publisher : 8th ACM International Digital Health Conference (DH 2018), Lyon, France.

Year : 2018

Internet-of-Things Based Respiratory Rate Monitoring for Early Detection of Cardiovascular and Pulmonary Diseases

Cite this Research Publication : R. Krishnan Pathinarupothi, Soublet, A., Ekanath Srihari Rangan, V, K. E., Durga P, and Menon, K. A. Unnikris, “Internet-of-Things Based Respiratory Rate Monitoring for Early Detection of Cardiovascular and Pulmonary Diseases”, in HealthyIoT 2018 - 5th EAI International Conference on IoT Technologies for HealthCare, 2018.

Publisher : HealthyIoT 2018 - 5th EAI International Conference on IoT Technologies for HealthCare .

Year : 2018

Deriving High Performance Alerts from Reduced Sensor Data for Timely Intervention in Acute Hypotensive Episodes

Cite this Research Publication : Rahul K Pathinarupothi, Ekanath Srihari Rangan, and Durga P, “Deriving High Performance Alerts from Reduced Sensor Data for Timely Intervention in Acute Hypotensive Episodes”, in 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 18) , Honolulu, Hawaii, 2018.

Publisher : 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 18) , Honolulu, Hawaii .

Year : 2017

Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning

Cite this Research Publication : Rahul, K. P., Vinaykumar. R., Eknath, R., Gopalakrishnan, E. A. and Soman, K. P. “Single sensor techniques for sleep apnea diagnosis using deep learning”. International Conference on Healthcare Informatics, August 23-27, 2017, UT, USA.

Publisher : IEEE International Conference on Healthcare Informatics (ICHI 2017), Park City, Utah, USA .

Year : 2017

Severity Summarization and Just in Time Alert Computation in mHealth Monitoring

Cite this Research Publication : Rahul K Pathinarupothi, Bithin Alangot, and Ekanath Srihari Rangan, “Severity Summarization and Just in Time Alert Computation in mHealth Monitoring”, in EFMI International Conference on Informatics for Health, Manchester, UK , 2017, vol. 235, pp. 48-52.

Publisher : EFMI International Conference on Informatics for Health, Volume 235, Manchester, UK.

Year : 2017

Multi-Sensor Architecture and Algorithms for Digital Health at Every Doorstep

Cite this Research Publication : Ekanath Srihari Rangan and Rahul K Pathinarupothi, “Multi-Sensor Architecture and Algorithms for Digital Health at Every Doorstep”, in IEEE International Conference on Electrical, Computer and Communication Technologies, Coimbatore, India, 2017.

Publisher : IEEE International Conference on Electrical, Computer and Communication Technologies, Coimbatore, India.

Year : 2017

Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning

Cite this Research Publication : Rahul, K. P., Vinaykumar. R., Eknath, R., Gopalakrishnan, E. A. and Soman, K. P. “Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning”, BHI-2017 International Conference on Biomedical and Health Informatics, February 16-19, 2017, Florida, USA.

Publisher : IEEE International Conference on Biomedical and Health Informatics, Orlando, Florida.

Year : 2017

Consensus Motifs as Adaptive and Efficient Predictors for Acute Hypotensive Episodes

Cite this Research Publication : Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Consensus Motifs as Adaptive and Efficient Predictors for Acute Hypotensive Episodes”, in IEEE EMBC , 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, Korea, 2017.

Publisher : IEEE EMBC , 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, Korea .

Year : 2016

Real-time identification of ischemic events in high risk cardiac patients

Cite this Research Publication : Durga P, Ekanath Srihari Rangan, and Rahul K Pathinarupothi, “Real-time identification of ischemic events in high risk cardiac patients”, in IEEE International Conference on Computational Intelligence and Computing Research, Chennai, India, 2016.

Publisher : IEEE International Conference on Computational Intelligence and Computing Research, Chennai, India.

Year : 2016

A Real-time Detection and Warning of Cardiovascular Disease LAHB for a Wearable Wireless ECG Device

Cite this Research Publication : A. Arunan, Rahul K Pathinarupothi, and Dr. Maneesha V. Ramesh, “A Real-time Detection and Warning of Cardiovascular Disease LAHB for a Wearable Wireless ECG Device”, in 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016, pp. 98-101.

Publisher : 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Year : 2016

Real-time and offline techniques for identifying obstructive sleep apnea patients

Cite this Research Publication : J. D. Prathap, Ekanath Srihari Rangan, and Pathinarupothi, R. K., “Real-time and offline techniques for identifying obstructive sleep apnea patients”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India, 2016.

Publisher : 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India.

Year : 2016

RASPRO: rapid summarization for effective prognosis in wireless remote health monitoring

Cite this Research Publication : Rahul K Pathinarupothi, Ekanath Srihari Rangan, Bithin Alangot, and Dr. Maneesha V. Ramesh, “RASPRO: rapid summarization for effective prognosis in wireless remote health monitoring”, in 2016 IEEE Wireless Health (WH), 2016

Publisher : 2016 IEEE Wireless Health (WH), IEEE .

Year : 2016

Rapid Healthcare Alerts using Multiple Sensors

Cite this Research Publication : Ekanath Srihari Rangan and Rahul K Pathinarupothi, “Rapid Healthcare Alerts using Multiple Sensors”, in 38th IEEE Annual International Conference of Engineering in Medicine and Biology, Orlando, FLorida, USA, 2016.

Publisher : 38th IEEE Annual International Conference of Engineering in Medicine and Biology, Orlando, FLorida, USA.

Year : 2016

Multi-Layer Architectures for Remote Health Monitoring

Cite this Research Publication : Rahul K Pathinarupothi, Dr. Maneesha V. Ramesh, and Ekanath Srihari Rangan, “Multi-Layer Architectures for Remote Health Monitoring”, in 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, Germany, 2016

Publisher : 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, Germany.

Year : 2016

Large scale remote health monitoring in sparsely connected rural regions

Cite this Research Publication : Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Large scale remote health monitoring in sparsely connected rural regions”, in GHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings, 2016, pp. 694-700.

Publisher : GHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc.

Year : 2016

Effective Prognosis Using Wireless Multi-sensors for Remote Healthcare Service

Cite this Research Publication : Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Effective Prognosis Using Wireless Multi-sensors for Remote Healthcare Service”, in Healthwear 2016: International Conference on Wearables in Healthcare in Budapest, Hungary, 2016.

Publisher : Healthwear 2016: International Conference on Wearables in Healthcare in Budapest, Hungary.

Year : 2016

Discovering Vital Trends for Personalized Healthcare Delivery

Cite this Research Publication : Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Discovering Vital Trends for Personalized Healthcare Delivery”, in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, New York, NY, USA, 2016.

Publisher : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, ACM, New York, NY, USA .

Year : 2016

Context Aware Dynamic Log Chunking for Mobile Healthcare Applications: Poster

Cite this Research Publication : Rahul K Pathinarupothi, Bithin Alangot, and Rangan, V., “Context Aware Dynamic Log Chunking for Mobile Healthcare Applications: Poster”, in Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, New York, NY, USA, 2016.

Publisher : Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, ACM, New York, NY, USA .

Year : 2016

Adaptive Motif-Based Alerts for Mobile Health Monitoring

Cite this Research Publication : E. Rangan and Rahul K Pathinarupothi, “Adaptive motif-based alerts for mobile health monitoring”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 192, pp. 168-176, 2017.

Publisher : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer Verlag.

Year : 2016

Effective prognosis using wireless multi-sensors for remote healthcare service

Cite this Research Publication : Rahul K Pathinarupothi and Ekanath Srihari Rangan, “Effective Prognosis Using Wireless Multi-sensors for Remote Healthcare Service”, in Healthwear 2016: International Conference on Wearables in Healthcare in Budapest, Hungary, 2016.

Publisher : Healthwear 2016: International Conference on Wearables in Healthcare in Budapest, Hungary (2016)

Year : 2015

QRS axis based classification of electrode interchange in wearable ECG devices

Cite this Research Publication : Rahul K Pathinarupothi and Dr. Maneesha V. Ramesh, “QRS axis based classification of electrode interchange in wearable ECG devices”, in MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", London, Great Britain, 2015.

Publisher : MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", London, Great Britain.

Year : 2015

A Low Cost Remote Cardiac Monitoring Framework for Rural Regions

Cite this Research Publication : Rahul K Pathinarupothi, Dilraj, N., K, R., and Dr. Maneesha V. Ramesh, “A Low Cost Remote Cardiac Monitoring Framework for Rural Regions”, in MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", London, Great Britain, 2015.

Publisher : MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming healthcare through innovations in mobile and wireless technologies

Year : 2015

Immediate Lead Positioning Feedback for ML based Wireless ECG

Cite this Research Publication : Rahul K Pathinarupothi, “Immediate Lead Positioning Feedback for ML based Wireless ECG”, in HIMS 2015, International Conference on Health Informatics and Medical Systems, 2015.

Publisher : HIMS 2015, International Conference on Health Informatics and Medical Systems

Year : 2012

GeoBoids – A Mobile AR Application for Exergaming

Cite this Research Publication : Rahul K Pathinarupothi, “GeoBoids - A Mobile AR Application for Exergaming”, in ISMAR 2012 International Symposium on Mixed and Augment Reality (Poster Presentation), 2012.

Publisher : ISMAR 2012 International Symposium on Mixed and Augment Reality

Patents

Year : 2020

Systems and Methods for Remote Health Monitoring and Management

Cite this Research Publication : Maneesha Vinodini Ramesh, Rahul Krishnan, Ekanath Rangan, "Systems and Methods for Remote Health Monitoring and Management", Application Number: 16/103,159, Patent Type: Nonprovisional, US Patent, 10,542,889 granted on January 28, 2020.

Publisher : U.S. Patent US Patent 10,542,8892020.

Year : 2020

Systems, Methods, and Devices for Remote Health Monitoring and Management

Cite this Research Publication : D. Maneesha VRamesh, Pathinarupothi, R. Krishnan, and Ekanath Srihari Rangan, “Systems, methods, and devices for remote health monitoring and management”, 2018.

Publisher : Amrita Vishwa Vidyapeetham Nokomis Inc.

Year : 2019

Systems, Methods, and Devices for Remote Health Monitoring and Management using Internet of Things Sensors

Cite this Research Publication : Dr. Maneesha V. Ramesh, Rahul K Pathinarupothi, Ekanath Srihari Rangan, Durga P, and P Rangan, V., “Systems, methods, and devices for remote health monitoring and management using internet of things sensors”, US16/117,6892019, U.S. Patent 10,443,726 granted on October 8, 2019, Patent Type: CIP

Publisher : Amrita Vishwa Vidyapeetham.

Year : 2018

Systems and Methods for Remote Health Monitoring and Management

Cite this Research Publication : Maneesha Vinodini Ramesh, Rahul Krishnan, Ekanath Rangan, “Systems and Methods for Remote Health Monitoring and Management”, Application Number: 201741028828, Patent Type: Complete, India Patent, Published Nov 2, 2018, RFE filed Oct 15, 2019.

Publisher : Application Number: 201741028828, Patent Type: Complete, India Patent,

Year : 2018

Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP3)

Cite this Research Publication : Dr. Venkat, Balaji Hariharan, Rahul Krishnan, Ramkumar N., and G. Uma, “Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP3)”, 15/850,214, US Patent 10,360,808 granted on July 23, 2019, Published May 3, 2018.

Publisher : 15/850,214, US Patent 10,360,808 granted

Year : 2017

Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP2-3D)

Cite this Research Publication : Dr. Venkat, Balaji Hariharan, Rahul Krishnan, Ramkumar N., and G. Uma, “Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP 2-3D)”, 15/180,604, US Patent 9,852,647 B2, Granted on December 26, 2017, Published on October 13, 2016.

Publisher : 15/180,604, US Patent 9,852,647 B2, Granted on December 26, 2017

Year : 2017

Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP1-2D)

Cite this Research Publication : Dr. Venkat, Balaji Hariharan, Rahul Krishnan, Ramkumar N., and G. Uma, “Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment (CIP 1-2D)”, 15/180,414 US Patent 9,826,196 B2, Granted on November 21, 2017, Published on October 10, 2016.

Publisher : 15/180,414 US Patent 9,826,196 B2, Granted .

Year : 2016

System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment

Cite this Research Publication : P. Venkat Rangan, Balaji Hariharan, Krishnan, R., Narayanankutty, R., Gopakumar, A., and Uma Gopalakrishnan, “System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment”, U.S. Patent 14/216,083 2016.

Publisher : Amrita Vishwa Vidyapeetham.

Year : 2016

Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment

Cite this Research Publication : Dr. Venkat, Balaji Hariharan, Rahul Krishnan, Ramkumar N., Sreedevi A. G. and G. Uma, “Teleimmersive: System and Method for Synthesizing, Preserving Consistent Relative Neighborhood Positions in Multiperspective Multipoint Tele-Immersive Environment”, 3888/CHE/2013, PCT/IB2014/064059, India Patent, 8/30/2013-Prov, 8/14/14 NP, 8/26/14-PCT, Indian Spec Published June 17, 2016, RFE filed July 8, 2015 (PCT initial pub March 3, 2015, later with International Search Report July 16, 2015).

Publisher : 3888/CHE/2013, PCT/IB2014/064059, India Patent, 8/30/2013-Prov, 8/14/14 NP, 8/26/14-PCT, Indian Spec Published June 17, 2016, RFE filed July 8, 2015 (PCT initial pub March 3, 2015, later with International Search Report

Year : 2016

System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment (2D)

Cite this Research Publication : P. V. Rangan, Balaji Hariharan, Rahul K Pathinarupothi, Narayanankutty, R., Gopakumar, S. A., and Uma Gopalakrishnan, “System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment (2D)”, U.S. Patent US 15/180,4142016.

Publisher : Amrita Vishwa Vidyapeetham.

Year : 2016

System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment (3D)

Cite this Research Publication : P. V. Rangan, Balaji Hariharan, Rahul K Pathinarupothi, Narayanankutty, R., Gopakumar, S. A., and Uma Gopalakrishnan, “System and Method for Synthesizing, Preserving Consistent Relative Neighborhood positions in Multiperspective Multipoint Tele-Immersive Environment (3D)”, U.S. Patent US 15/180,6042016.

Publisher : Amrita Vishwa Vidyapeetham.

Year : 2015

System and Method for Synthesizing and Preserving Consistent Relative Neighborhood Position in Multi-Perspective Multi-Point Tele-Immersive Environments

Cite this Research Publication : P. V. Rangan, Balaji Hariharan, Rahul K Pathinarupothi, Narayanankutty, R., Gopakumar, S. A., and Uma Gopalakrishnan, “System and Method for Synthesizing and Preserving Consistent Relative Neighborhood Position in Multi-Perspective Multi-Point Tele-Immersive Environments”, U.S. Patent US20150062284A12015.

Publisher : Amrita Vishwa Vidyapeetham.

Other

Year : 2019

Predicting Development of Type-II Diabetes Among Gestational Diabetes Mellitus Patients

Cite this Research Publication : Gayathri Manekath ,; Chakravarthy,;Sirisha,;Bithin Alangot,;Aparna,;Kaveri,;Himavarshini,;Anagha Radhakrishnan and Rahul Krishnan Pathinarupothi "Predicting Development of Type-II Diabetes Among Gestational Diabetes Mellitus Patients" 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019) .

Publisher : 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019).

Year : 2019

Clinically Aware Data Summarization at the Edge for Internet of Medical Things

Cite this Research Publication : R. K. Pathinarupothi, "Clinically Aware Data Summarization at the Edge for Internet of Medical Things," 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kyoto, Japan, 2019, pp. 437-438.
doi: 10.1109/PERCOMW.2019.8730765

Publisher : 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Conference Proceedings

Year : 2018

Reliable Collective Cosigning to Scale Blockchain with Strong Consistency

Cite this Research Publication : “Reliable Collective Cosigning to Scale Blockchain with Strong Consistency”, Workshop on Decentralized IoT Security and Standards (DISS) 2018. 2018.

Publisher : Workshop on Decentralized IoT Security and Standards (DISS).

Qualification
  • 2019: Ph. D. Wireless Communication Systems for Healthcare Device
    Amrita Vishwa Vidyapeetham
  • 2008 – 2012: B. Tech. in Computer Science and Engineering
    Amrita Vishwa Vidyapeetham
Experience
Year Affiliation
September 2019 – Present Assistant Professor, Amrita Vishwa Vidyapeetham
September 2012 – September 2019 Project Associate, Amrita Vishwa Vidyapeetham
July 2013 – Present Teaching Assistant, Amrita Vishwa Vidyapeetham
June 2012 – August 2012 Research Assistant, UC Davis, US
February 2012 – June 2012 Research Assistant,  HIT (Human Interface Technology) Lab, New Zealand
Awards and Achievements
  • AIRA Innovation Award 2023 recipient (Amrita Vishwa Vidyapeetham)
  • PhysioNet Challenge 2023 – #18 Worldwide, #2 India (Team Mentor)
  • GE Health Precision Care Challenge 2023 – 2nd Position  (Team Mentor)
  • Medicall Made-in-India Innovation Award Finalist 2023 (Top 2 in Point-of-Care Devices)
  • AIRA Innovation Award 2021 recipient (Amrita Vishwa Vidyapeetham)
  • Swadeshi Microprocessor Challenge 2021 Semi Finalists (MyGov India)
  • UN Alliance of Civilizations – CREATE Winner 2012 (United Nations AOC)
  • University Silver Medal – B.Tech Computer Science 2012  (Amrita Vishwa Vidyapeetham)
Research Grants
  • Principal Investigator ICMR, 2021-12140 (2022-2024) – 18.8 Lakhs
    An observational prospective study to assess the impact of Internet-of-Things connected remote patient monitoring system for patients with high risk of rapid deterioration and its integration to the rapid response team in preventing Out-of-ICU ward crashes.
  • Principal Investigator DST, SERB/2020/001119 (2021-2023) – 12 Lakhs
    Development, optimization and pilot evaluation of edge-AI enabled photoplethysmograph IoT devices and clinical data summarization methods for remote patient monitoring and disease detection
  • Co-PI DST SHRI (2024-2027) – 70 Lakhs
    Heritage Herald: GeoSpatial Platform for Culture & Heritage Management. Co-PI for the technology development and systems architecture.
  • Co-PI DST SEED (2022-2025) – 2.7 Crores
    Establishment of Community Resilience Centers in 14 communities across India. Co-PI for the healthcare related S&T deployments in these villages.
  • Co-Principal Investigator UN Alliance Of Civilization CREATE (2013) – 4 Lakhs
    SanskAR: An AR based application for learning and accepting world cultures
FDP/ Workshops
  • 2021 – ISIL ML Workshop (Organizer)
  • 2021 – LeapFrog Workshop (Organizer)
  • 2022 – Data Analytics and AI for Health (Organizer)
Talks Delivered

Research Talks Delivered

  • 2021 – Amrita Darshanam – Research in Science and Society
  • 2021 – Amrita Trento Seminar – Data summarization for Edge AI
  • 2022 – ICMR AIMS – CME – Talk on AI in Healthcare (for clinicians, invited talk)
  • 2023 – SERB Accelerate Vigyan sponsored Workshop at IIIT Kottayam – on distributed intelligence – building Edge AI systems (invited speaker)
  • 2023 – KENDOCON _ Kerala Endocrinology Conference, Kochi (invited talk on AI in Diabetes)
Membership
  • IEEE Senior Member
  • IEEE BHI (2024, 2016, 2017)
  • IEEE EMBS (2017, 2018)
  • ACM UbiComp
  • IEEE PerCom
Admissions Apply Now