Jyoti R Munavalli

@bnmit.org

Professor and Electrconics and Communication Engineering
BNM Institute of Technology

Jyoti R Munavalli


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https://researchid.co/jyotirm

EDUCATION

• Ph.D. , “Real-time Scheduling in Outpatient Clinics”, Maastricht University, Netherlands.
• M. Tech., Digital Electronics & Communication, Visvesvaraya Technological University, India (I Class with Distinction).
• B.E., Electronics & Communication Engineering, Karnataka University Dharwad, India (I Class with Distinction).

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Health Informatics, Artificial Intelligence, Management Science and Operations Research
28

Scopus Publications

381

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Analysis Of Remote Voting System Mechanism
    D. S. Pavan, Ronak R. Jain, Tirthankar Karmakar, Ashwini S. Savanth, Jyoti R. Munavalli
    Aip Conference Proceedings, 2026
  • Medical Robots Applications in Surgery
    Jyoti R. Munavalli, Rajeshwari B. S., Sunil Kumar C. N., Pradeep Narayan
    Next Generation Medical Devices and Robotics, 2025
    Medical robots are sophisticated machines designed to assist healthcare professionals in performing complex medical procedures with precision, accuracy, and minimal invasiveness. Medical robots utilize cutting-edge technologies such as artificial intelligence, machine learning, and sensor systems to enhance surgical outcomes, reduce recuperation periods, and ultimately enhance patient care and happiness. Medical robots are adept at handling even the most delicate jobs. Thus, the use of medical robots in a variety of surgical specialties has grown, including cardiology, urology, neurology, and orthopedics. The real-time data and visualization capabilities of medical robots help surgeons to make more educated decisions, lower the risk of complications, and ultimately improve patient outcomes. This chapter explains different kinds of medical robots, their parts, surgical uses, advantages, challenges, and upcoming developments in surgical medical robots. Lastly, the authors present a case study of Narayana Health in Bangalore, India, where every day robotic procedures are carried out.
  • Case study on real-time smart meter
    Yasha Jyothi M. Shirur, S. Bindu, Jyoti R. Munavalli
    Cloud Computing in Smart Energy Meter Management, 2025
    The global electricity consumption statistics shows that the energy consumption will be increasing exponentially at a rate faster than expected. In India, electricity demand is rapidly growing and by 2030 it is expected to double. The statistics given by electricity generation in India shows that energy generation is almost stable, and in the future there will be shortage of energy and it may be difficult to meet the energy requirement. The nation runs on electricity; thus, conserving energy is important. To fulfil this energy demand, the government is planning to provide the best solution to overcome this unavoidable situation by monitoring the energy consumption using smart meters and also to detect power theft. For the government, one of the main issues is power theft. Existing techniques are insufficient to identify power theft, and there is a great need for smart systems that can both identify power theft and provide transformer health monitoring and protection. It is imperative that we develop such a smart system. It is very essential to save energy and there is a huge requirement for smart energy meters to be monitored continuously for power consumption and power theft. However, energy consumption may be monitored by the smart energy monitoring system which needs an intelligent energy monitoring technique. In spite of having excess power producing capability, few places lack the necessary infrastructure to provide electricity to everyone who needs it. In recent years, many of the jobs in households, industry, and agricultural farms are performed by electrical and electronic appliances due to which there is huge demand for electricity and also reports from the recent statistics show an exponential growth. Many rich and emerging countries are concerned about this since they need to boost the electricity supply immediately. People do not realize how much energy different gadgets use on a daily basis. An electricity meter is a tool used to calculate how much electricity different types of appliances use. Traditional meters that were once in use had the major flaw of requiring human operators to travel from one location to another once a month in order to collect energy meter readings. In addition to requiring more human operators, gathering data from every user takes longer in this scenario. Human error can lead to mistakes in reading, which can also affect billing, and the consumers will be unaware of their daily power usage. So, to reduce manpower and time, automatic electricity measurement devices should be used. In both home and commercial uses, electronic energy meters have replaced traditional electromechanical meters in order to save wear and tear. There should be greater emphasis on comprehending consumption patterns because power usage is rising daily. We need to have efficient electricity consumption techniques which portray the consumer to reduce their power consumption, which further helps the government to avoid excess usage of power. The goal of this work is to build a circuit that assists the user in monitoring their electrical energy usage and identifying instances of power theft. This system smartly gets the meter reading based on the requirement so that there is no need for the meter reader to visit each customer's place for the consumed energy data collection and it helps the users by alerting them about the billing status and unit consumption. The consumer is able to check the status of his load while sitting in any part of the world by short message service (SMS) and the user can keep track of his/her power usage. In this work, the user can set the threshold value as per day basis or as per hour basis according to his/her requirements. When the threshold value is reached, SMS is sent to the user. The user can change the threshold value whenever he/she wants. The bill will be sent to particular number that is registered via global system for mobile communications (GSM) module and it is also displayed on the meter. So, the user will be having the control of his/her power usage and thus avoiding the over usage of power. This further helps the government to reduce the unusual power usage and thus saves energy. This work also involves the development of a transformer based health system and power theft detection system that can monitor oil levels in transformers, identify dynamic temperature variations, and notify BESCOM officials of any attempts by intruders to steal power through various IoT-enabled means.
  • Message from the Organizing Chairs-ICIITCEE 2025
    Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
  • Development and Performance Evaluation of a 13GHz Ultra Wide Band Patch Antenna
    Sumathi A, Priya R Sankpal, Jyoti R Munavalli
    Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
  • Evaluation of CNN Architectures for Brain Tumor Identification and Classification
    Maaz Hussain, Anuradha Shenoy, Keerti Kulkarni, Jyoti R Munavalli
    Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
    Brain tumor statistics are alarming and varied. Brain tumor detection can drastically aid in improving patient care, quality of life, and survival rates. This work presents brain tumor detection and classification and compares various convolutional neural network (CNN). The dataset employed 1 contains images from four tumor classes: glioma, meningioma, pituitary tumor, and no-tumor. CNN models like AlexNet, a custom-designed CNN, ResNet-50, and VGG16 are trained and then tested on the dataset, that comprises of 7,061 images. The performance of each architecture is evaluated based on classification accuracy, computational cost, and overall generalization capability. Results indicate that ResNet-50 model demonstrated the highest accuracy of 98.78%, making it a strong candidate for efficient brain tumor classification. This research yields significant contributions to the understanding of CNN architectures in medical image analysis, offering recommendations for future advancements [1]-[2]. Notably, it presents a comparative assessment of four architectures, thereby expanding the existing literature and addressing a previously unexplored research question [10].
  • Evaluation of UAV Path Planning Approaches for Urban Air Mobility
    Tanzeem Pasha, Shri Hari M, Shreeram K R, Bhuvana Suganthi D, Jyoti Raghavendra Munavalli
    Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
    In contemporary society, it is pertinent to address the feature of the Urban Air Mobility (UAM), a new mode of urban transport, whereby unmanned aerial vehicles transport people and goods with the view to rendering relief to ground traffic congestion. However, challenging as it may be, the deployment of the UAVs within the confines of the urban built environment is complex. In this systematic review, we provide state-of-the-art developments found in multi-UAV path planning for UAM. We highlight the different aspects of navigation strategies, cooperative algorithms, optimization methods, as well as collision avoidance techniques over the years. In total, we conducted analyses on thirty recent studies, such as those that deal with the combination of machine learning, bio-inspired algorithms, and other environmental-induced factors involved in the path planning process. The review results exhibit significant advances in navigation-aware planning, cooperative systems, advanced optimization techniques, and real-alive applications. However, while all these have been achieved, adaptations in real-time, dynamic environment management, and the integration of learning-based methods with conventional control methods are challenges that have continued to be faced. Future research will propose directions to fill in these gaps to further the progress towards developing efficacious, safe, and sustainable urban air transportation systems.
  • Real-Time Global Parcel Tracking System in the Supply Chain Using RFID and GPS
    Vyshak T M, Varun S N, Unnathi G D, Sujaya B.L, Jyoti R Munavalli
    Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
    This paper presents an in-depth exploration of a Real-Time Global Parcel Tracking System in the Supply Chain Using RFID and GPS, designed to revolutionize logistics and parcel management. By integrating RFID technology for automated identification, GPS for precise real-time tracking, and data analytics for intelligent routing, the system addresses inefficiencies in traditional supply chain operations. A comprehensive review of literature on RFID-based tracking, GPS integration, clustering techniques, and IoT applications in logistics is presented, highlighting their capabilities, limitations, and future potential. As part of the project’s initial implementation, a prototype was developed using an Arduino-based RFID system that links unique order IDs to RFID tags. This low-cost and scalable solution demonstrates how emerging technologies can be harnessed to automate parcel identification and streamline tracking processes. The study underscores the transformative potential of such a system to reduce delays, enhance resource optimization, and provide unparalleled real-time visibility, setting the stage for a further efficient and reliable global supply chain.
  • AI Techniques for 6G Applications
    Jyoti R Munavalli, Rashmi R. Deshpande, Jayashree M. Oli
    Development of 6g Networks and Technology, 2024
    Communication started with 1G in the 1980s. This was followed by 2G in the 1990s, 3G in the 21st century, 4G in 2009, 5G much later, and now 6G. 6G provides services for future needs beyond 2030. 6G aims for high data rates, ultra-low latency, and ultra-reliability services. 6G would be about Internet of Everything such as smart cities, network management, autonomous driving, UAVs, seamless virtual and augmented reality, and more. This chapter compares 5G with 6G in terms of intelligence, energy efficiency, security, privacy, and spectral efficiency. 6G communication is about sixth-sense communication and three-dimensional technology particularly time, frequency, and space. It will be an Artificial Intelligence-driven communication. 6G will use edge computing and AI will make computations much easier at edge/devices. AI's role in 6G is as enabler, defender, offender, target, and resilient. Important AI techniques for 6G include supervised, unsupervised, reinforcement, federated, and deep learning. The chapter concludes with various application examples of AI in 6G.
  • Message From conference Organizing Team
    Proceedings of the 2nd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2024, 2024
  • Lightweight Crypto Mechanisms and Key Management in IoT Scenario
    Yasha Jyothi M. Shirur, S. Bindu, Jyoti R. Munavalli
    Secure Communication in Internet of Things Emerging Technologies Challenges and Mitigation, 2024
  • Prediction of Onset of Seizures from EEG Signals Using ML Techniques
    A. Sumathi, Priya R Sankpal, Jyoti R Munavalli, A N Anusha
    Advanced Electroencephalography Analytical Methods Fundamentals Acquisition and Applications, 2024
  • Message from Conference Organizing Team
    S Niranjan, P Vijaya, Jyoti Munavalli, Yashajyothi Shirur, S Kulkarni, et al.
    Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2023, 2023
  • Introduction to Brain–Computer Interface: Applications and Challenges
    Jyoti R. Munavalli, Priya R. Sankpal, A. Sumathi, Jayashree M. Oli
    Brain Computer Interface Using Deep Learning Applications, 2023
  • AutoNav: A Lane and Object Detection Model for Self-Driving Cars
    S. Sree Madhumitha, R. Sailesh, A. Sirish, Jyoti R. Munavalli
    Lecture Notes on Data Engineering and Communications Technologies, 2023
  • Congenital Heart Disease Detection Using Spectral Analysis and CNN
    Tejas S Koundinya, Shreyas Sudhanva, Shashank C S, Suguna Chandrasekar, Jyoti R Munavalli
    2023 4th International Conference for Emerging Technology Incet 2023, 2023
  • A Comparative Study of Joint and Bolt Structures with and without Edge Detection using CNN
    Tejas S Koundinya, S Brinda, S Nikhil, Meenakshi Aishwarya Thelapurath, R Chinmayee, Jyoti R Munavalli
    2023 International Conference for Advancement in Technology Iconat 2023, 2023
  • Managing Outpatient Cycle Times in Hospitals Using Integrated Closed-Loop Approaches
    Ganesh-Babu B Subburaman, Jyoti R Munavalli, Thulasiraj Ravilla, Helen Mertens, Carroll Webers, Shyam Vasudeva Rao, Frits van Merode
    Health Services Insights, 2023
  • Dynamic Layout Design Optimization to Improve Patient Flow in Outpatient Clinics Using Genetic Algorithms
    Jyoti R. Munavalli, Shyam Vasudeva Rao, Aravind Srinivasan, Frits Van Merode
    Algorithms, 2022
  • Dhanvantari: An intelligent diagnosis tool to classify malignant skin disease and Lung conditions using Deep Learning
    Tejas S Koundinya, Sathwik C Gowda, Jyoti R Munavalli
    6th IEEE International Conference on Computational System and Information Technology for Sustainable Solutions Csitss 2022, 2022
  • A qualitative analysis on management studies for engineering students
    Journal of Engineering Education Transformations, 2021
  • Evaluation of Virtual Reality opportunities during Pandemic
    Sai Priya Nalluri, Reshma L, Jyoti R Munavalli
    2021 6th International Conference for Convergence in Technology I2ct 2021, 2021
  • Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods
    Jyoti R. Munavalli, Henri J. Boersma, Shyam Vasudeva Rao, G. G. van Merode
    Artificial Intelligence and Data Mining in Healthcare, 2021
  • Edu-bot: An AI based Smart Chatbot for Knowledge Management System
    Rachana G Kummar, Suhas J Shetty, S N Vishwas, P J Vismith Upadhya, Jyoti R Munavalli
    Csitss 2021 2021 5th International Conference on Computational Systems and Information Technology for Sustainable Solutions Proceedings, 2021
  • An intelligent real-time scheduler for out-patient clinics: A multi-agent system model
    Jyoti R Munavalli, Shyam Vasudeva Rao, Aravind Srinivasan, GG van Merode
    Health Informatics Journal, 2020
  • Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times
    Jyoti R Munavalli, Shyam Vasudeva Rao, Aravind Srinivasan, GG van Merode
    Health Informatics Journal, 2020
  • A Robust Predictive Resource Planning under Demand Uncertainty to Improve Waiting Times in Outpatient Clinics
    Jyoti R. Munavalli, Shyam Vasudeva Rao, Aravind Srinivasan, Usha Manjunath, G. G. van Merode
    Journal of Health Management, 2017
  • The Optimization in Workflow Management: Ophthalmology
    Jyoti R. Munavalli, Shyam Vasudeva Rao, Aravind Srinivasan, A. Srinivas, Frits van Merode
    Journal of Health Management, 2016

RECENT SCHOLAR PUBLICATIONS

  • Analysis of remote voting system mechanism
    DS Pavan, RR Jain, T Karmakar, AS Savanth, JR Munavalli
    AIP Conference Proceedings 3398 (1), 030001 , 2026
    2026
  • A Squeeze-Based Lightweight Model for Disease Detection in Precision Agriculture
    SM Kiran, K Somashekar, DN Chandrappa, RM Jyoti
    2026 International Conference on Intelligent and Innovative Technologies in … , 2026
    2026
  • Medical Robots Applications in Surgery
    JR Munavalli, BS Rajeshwari, SK CN, P Narayan
    Next-Generation Medical Devices and Robotics, 215-250 , 2026
    2026
  • Digital Twin-Based Hospital Layout Optimization for Patient Flow Improvement
    JR Munavalli, SK Oruganti
    Sustainable Global Societies Initiative 1 (1) , 2025
    2025
  • A Hybrid Simulation-Optimization Methodology for Real-Time Spatial Redesign and Patient Flow Management
    JR Munavalli, SK Singh, SK Oruganti
    SPAST Reports 1 (2) , 2025
    2025
    Citations: 1
  • Cloud Computing in Smart Energy Meter Management
    G Senbagavalli, T Kavitha, N Amuthan, FJJ Joseph
    John Wiley & Sons , 2025
    2025
  • Case Study on Real-Time Smart Meter
    YJM Shirur, S Bindu, JR Munavalli
    Cloud Computing in Smart Energy Meter Management, 453-486 , 2025
    2025
  • Adaptive Layout Redesign and Patient Flow Optimization for Enhanced Patient Care: Current State and Future Directions
    JR Munavalli, SK Singh, SK Oruganti
    SPAST Reports 1 (1) , 2025
    2025
    Citations: 1
  • A Comprehensive Analysis on Level Shifters: Challenges, Opportunities, and Future Directions
    S R R, Niveditha, S G K, PK Desai, JR Munavalli
    International Journal for Research in Applied Science & Engineering … , 2025
    2025
  • Real-Time Global Parcel Tracking System in the Supply Chain Using RFID and GPS
    TM Vyshak, SN Varun, GD Unnathi, BL Sujaya, RM Jyoti
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
    Citations: 4
  • Evaluation of CNN Architectures for Brain Tumor Identification and Classification
    M Hussain, A Shenoy, K Kulkarni, JR Munavalli
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
  • Development and performance evaluation of a 13ghz ultra wide band patch antenna
    A Sumathi, PR Sankpal, JR Munavalli
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
    Citations: 2
  • Evaluation of UAV Path Planning Approaches for Urban Air Mobility
    T Pasha, KR Shreeram, JR Munavalli
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
    Citations: 2
  • Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2025)
    JR Munavalli, R P, YM Shirur, Bindu S, . Venkatesha K
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
  • Agrosmart Precision Soil Analysis Bot for Nutrient Prediction and Fertilizer Recommendations
    S Kumar, SS Wali, V Tonne, S D, JR Munavalli
    International Journal of Scientific Research in Computer Science … , 2024
    2024
    Citations: 1
  • Kidney Stone Detection using CNN Algorithm
    N N, S S, R Shreyas, K Kulkarni, JR Munavalli
    International Journal of Scientific Research in Computer Science … , 2024
    2024
  • Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications
    G Naik, WP dos Santos, G Gargiulo
    CRC Press , 2024
    2024
    Citations: 2
  • Development of 6G Networks and Technology
    SL Tripathi, M Mahmud, C Narmadha, SA Alexander
    John Wiley & Sons , 2024
    2024
    Citations: 2
  • AI Techniques for 6G Applications
    JR Munavalli, RR Deshpande, JM Oli
    Development of 6G Networks and Technology, 29-55 , 2024
    2024
    Citations: 3
  • LI-FI Performance Analysis in Various Aquatic Environments for Reliable Underwater Communication
    TM Hemanth, KM Manjunath, HB Suhas Gowda, V Kusanur, JR Munavalli
    International Journal of Scientific Research in Computer Science … , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Real-time capacity management and patient flow optimization in hospitals using AI methods
    JR Munavalli, HJ Boersma, SV Rao, GG Van Merode
    Artificial intelligence and Data mining in healthcare, 55-69 , 2020
    2020
    Citations: 53
  • Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times
    JR Munavalli, SV Rao, A Srinivasan, GG van Merode
    Health Informatics Journal 26 (1), 435-448 , 2020
    2020
    Citations: 51
  • An intelligent real-time scheduler for out-patient clinics: A multi-agent system model
    JR Munavalli, SV Rao, A Srinivasan, GG van Merode
    Health Informatics Journal 26 (4), 2383-2406 , 2020
    2020
    Citations: 47
  • A Robust Predictive Resource Planning under Demand Uncertainty to Improve Waiting Times in Outpatient Clinics
    JR Munavalli, SV Rao, A Srinivasan, U Manjunath, GG van Merode
    Journal of Health Management 19 (4), 563-583 , 2017
    2017
    Citations: 32
  • Artificial Intelligence and Data Mining in Healthcare
    JR Munavalli, HJ Boersma, SV Rao, GG Van Merode
    Springer , 2021
    2021
    Citations: 20
  • Dynamic layout design optimization to improve patient flow in outpatient clinics using genetic algorithms
    JR Munavalli, SV Rao, A Srinivasan, F Van Merode
    Algorithms 15 (3), 85 , 2022
    2022
    Citations: 18
  • Edu-bot: an ai based smart chatbot for knowledge management system
    RG Kummar, SJ Shetty, SN Vishwas, PJV Upadhya, JR Munavalli
    2021 IEEE International Conference on Computation System and Information … , 2021
    2021
    Citations: 13
  • Automated real-time locust management using artificial intelligence
    A Pramod, HC Neha, R Deeksha, JR Munavalli
    Int. J. Engin. Appl. Sci. Technol 5, 133-138 , 2020
    2020
    Citations: 13
  • Introduction to brain–computer interface: applications and challenges
    JR Munavalli, PR Sankpal, A Sumathi, JM Oli
    Brain‐Computer Interface: Using Deep Learning Applications, 1-24 , 2023
    2023
    Citations: 12
  • Low Power High Speed Vedic Techniques in Recent VLSI Design–A Survey
    S Dayanand, KR Varshitha, T Rohini, YJM Shirur, JR Munavalli
    Perspectives in Communication, Embedded-systems and Signal-processing-PiCES … , 2020
    2020
    Citations: 11
  • The optimization in workflow management: ophthalmology
    JR Munavalli, SV Rao, A Srinivasan, A Srinivas, F Van Merode
    Journal of Health Management 18 (1), 21-30 , 2016
    2016
    Citations: 11
  • Brain-computer interface: using deep learning applications
    MG Sumithra, RK Dhanaraj, M Milanova, B Balusamy, C Venkatesan
    John Wiley & Sons , 2023
    2023
    Citations: 10
  • Managing Outpatient Cycle Times in Hospitals Using Integrated Closed-Loop Approaches
    GBB Subburaman, JR Munavalli, T Ravilla, H Mertens, C Webers, ...
    Health Services Insights 16, 11786329221145858 , 2023
    2023
    Citations: 8
  • Evaluation of Virtual Reality opportunities during Pandemic
    SP Nalluri, R L, JR Munavalli
    2021 6th International Conference for Convergence in Technology (I2CT), 2-4 … , 2021
    2021
    Citations: 8
  • Healthcare of India: Today and tomorrow
    JR Munavalli, F van Merode, SV Rao, A Srinivas
    International Journal of Innovative Research & Development 3 (2), 350-356 , 2014
    2014
    Citations: 8
  • Workflow-based Adaptive Layout Design to Improve the Patient Flow in the Outpatient Clinics
    JR Munavalli, SV Rao, A Srinivasan, GG Van Merode
    Annals of the Romanian Society for Cell Biology 25 (3), 63-76 , 2021
    2021
    Citations: 7
  • Computational Methods and Data Engineering
    VK Asari, Vijayan K./Singh Asari (Vijendr), R Rajasekaran
    2022
    Citations: 5
  • Real-time scheduling in outpatient clinics
    JR Munavalli
    2017
    Citations: 5
  • Real-Time Global Parcel Tracking System in the Supply Chain Using RFID and GPS
    TM Vyshak, SN Varun, GD Unnathi, BL Sujaya, RM Jyoti
    2025 International Conference on Intelligent and Innovative Technologies in … , 2025
    2025
    Citations: 4
  • AI Techniques for 6G Applications
    JR Munavalli, RR Deshpande, JM Oli
    Development of 6G Networks and Technology, 29-55 , 2024
    2024
    Citations: 3

GRANT DETAILS

• "Awareness, Utilisation and Socio-Economic Impact of PMBJP Kendra in the selected districts of State of Karnataka” – 12L from ICSSR, India
• Detachable smart Faucet – 2.5L from New-Gen IEDC, DST, India
• Interactive Bot – 60K from New-Gen IEDC, DST, India
• FDP on Emerging Trends in Healthcare Technology -70K from New-Gen IEDC, DST, India for Centre of Excellence

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

• Patent granted with number 486192 for Detachable Smart Faucet Device.
• Patent published with number 202241014404 for a Smart Yoga Instructor device for guiding and correcting yoga posture of a user in real-time.
• Copyright granted with 1756/2022-CO/SW for Smart Yoga Instructor program/code for estimating and correcting Yoga Posture in real time (quadrant-based correction) using Python.

Industry, Institute, or Organisation Collaboration

Head Centre of Excellence - Healthcare & Smart Technology