Integration of Nanotechnology and Machine Learning in Healthcare: Fundamentals, Applications, and Future Scope S. Bindu, M. K. Prashanth, D. Mohan Kishore Smart Chips for Smart Devices VLSI Design for Next Generation Iot Solutions, 2026 Nanotechnology and machine learning (ML) are two transformative fields that are driving significant advancements in healthcare. Nanotechnology enables the precise manipulation of matter at the nanoscale, facilitating innovative solutions for diagnostics, drug delivery, and therapeutics. Machine learning, on the other hand, empowers systems to analyse complex datasets, optimize processes, and predict outcomes, making it a valuable tool for managing the high-dimensional data generated by nanotechnology applications. This interaction has led to groundbreaking innovations, including personalized treatment approaches, real-time monitoring devices, and predictive models for nanomaterial behaviour. Fundamental ML techniques, such as supervised learning for predicting nanoparticle interactions, unsupervised learning for clustering nanoscale properties, and reinforcement learning for optimizing synthesis processes, have been instrumental in advancing nanotechnology. Applications in healthcare include ML-optimized smart drug delivery systems, nano biosensors for early disease detection, and diagnostics tailored to individual patient profiles. Case studies illustrate the integration of AI-driven cancer therapies and nanomaterial optimization for enhanced treatment efficacy, while the fusion of ML and nanotechnology offers immense potential. Future trends point to the continued evolution of personalized medicine, nano biosensor integration with wearable technologies, and AI-driven design of advanced nanomaterials. Together, these innovations promise a new era of precision healthcare, improving outcomes and transforming clinical practices.
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.
Design and Implementation of Delta Modulaton Transceiver in MATLAB, SIMULINK and DSP Processor Anaghaa R, Unnathi G D, Niharika J, Bindu S Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025 With an emphasis on its ease of use and effectiveness in analog-to-digital conversion, this study investigates the design and implementation of a Delta Modulation (DM) system. Unlike traditional Pulse Code Modulation (PCM), DM encodes the difference between successive samples, reducing hardware complexity and bandwidth usage. The system was developed and tested through MATLAB simulations and real-time processing on a TMS320C6713 DSP board. Results highlight the capability of DM to effectively reconstruct analog signals, though minor errors were observed due to quantization noise. This study shows how DM can be used in real-time and low-bandwidth signal processing, where compact and effective design is crucial.
Respiratory Disease Detection from Lung Sounds Prajwal Nirwani, Veerana Gouda, Prashanth M K, Bindu S 2025 1st International Conference on Advancement in Futuristic Technologies Icaft 2025, 2025 A significant worldwide health concern is respiratory disorders, especially in areas with poor access to specialized diagnostic tools. In order to treat respiratory diseases early and enhance patient outcomes, early detection is essential. In this work, we provide a deep learning-based automatic respiratory disease classification system that uses lung sound recordings. Pneumonia, Upper Respiratory Tract Infection (URTI), Bronchiectasis, Bronchiolitis, Chronic Obstructive Pulmonary Disease (COPD), and normal patients' annotated audio samples are used to train the model on the ICBHI 2017 Respiratory Sound Database. A neural network model is trained using audio parameters such as spectral contrast, chroma, melspectrogram, and Mel Frequency Cepstral Coefficients (MFCCs). Because the Gated Recurrent Unit (GRU) model is so effective at processing sequential data, such as the respiratory sound, it is used. The trained model has a very high accuracy in identifying instances with COPD and an average classification accuracy of 82%. The impact of class imbalance is demonstrated by the model's decreased recall and accuracy in detecting diseases with small sample numbers. Clinical diagnosis and telemedicine remote health monitoring may be facilitated by the suggested approach, particularly in developing countries. The system could be used in embedded systems or mobile applications to provide simple and non-invasive respiratory system screening. Data augmentation, improved model generalization, and edge real-time deployment for real-world applications are future improvements.
Diabetes Detection Using Iris Image Bindu S, Sarala T, Prashanth M K, Mohan Kishore D Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
Intelligent Iris based chronic kidney identification system Sarala T, Prashanth M K, Bindu S, Mohan Kishore D Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
Integrated DAM Automation System Amulya R Prasad, Bhoomika K, Jahnavi A R, Subodh Kumar Panda, Rekha P, Bindu S Proceedings of IEEE International Conference for Women in Innovation Technology and Entrepreneurship Icwite 2025, 2025
Nanomaterial-Based Antenna Study for mmWave Applications Priyadarshini K Desai, Bindu S Proceedings of the 2nd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2024, 2024
Message From conference Organizing Team Proceedings of the 2nd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2024, 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
Green synthesis of a Ceratophyllum demersum–assisted SrS/Er₂se₃ Z-scheme heterostructure for efficient electrochemical detection and photocatalytic degradation of acetaminophen VS Karigar, AG Alhamzani, S Bindu, EA Abdelrahman, S Harisha, ... Inorganic Chemistry Communications, 116585 , 2026 2026
Integration of Nanotechnology and Machine Learning in Healthcare: Fundamentals, Applications, and Future Scope S Bindu, MK Prashanth, D Mohan Kishore Smart Chips for Smart Devices: VLSI Design for Next‐Generation IoT Solutions … , 2026 2026
Compressed Sensing Based Hybrid Beamforming for mmWave Massive MIMO Systems AM Sheshan, G Subramanya, S Bindu, P Rekha 2026 Contemporary Computing Innovations Conference (CCIC), 1-6 , 2026 2026
Feature-Driven Emotional Art Synthesis From Human Voice BM Vindhya, TH Banjan, MK Prashanth, S Bindu, P Rekha 2026 Contemporary Computing Innovations Conference (CCIC), 1-7 , 2026 2026
Home Confinement and Rehabilitation Monitoring Using Anklet Systems SK Panda, P Rekha, S Bindu 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Mitigating Perceptual Drift in ROS2 LiDAR-Based SLAM During Wall-Parallel Motion P Rekha, YJM Shirur, M Hussain, S Bindu, SK Panda 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Design of an Optimized 8-Bit Flash ADC using a Double-Tail Comparator in 45nm CMOS Process S Bindu, MK Prashanth, P Rekha 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Low-Latency EDMA Framework for AI-Based DSP SoCs in Multimedia Real-Time Systems R Monisha, H Niharika, D Vivek Raviraj, S Bindu, P Rekha 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Performance Evaluation of MVDR Adaptive Beamforming for Smart Antenna Systems in Next Generation Wireless Networks AM Bhat, C Anuchinmayee, L Palani, B Jagruthi, S Bindu, P Rekha 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Functional Verification and Synthesis of AMBA APB Protocol using System Verilog NS Hosamath, S Priyadarshini, SK Panda, MG Asuti, S Bindu 2025 1st International Conference on Advancement in Futuristic Technologies … , 2025 2025
Analysis of ECG Signal for the Detection of Arrhythmia and Atrial Fibrillation DN Niranjan, RT Naidu, V Aditya, S Bindu, MK Prashanth, K Kulkarni 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Spatial Analysis of Received Power and Interference in Building-Obstructed Wireless Networks S Vasishta, S Sheshadri, BR Suhaas, P Rekha, S Bindu 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Improved Performance of Radiation-Induced Communication Link for Deep Space Applications MM Hebbar, KU Dikshitha, N Neha, S Bindu, P Rekha 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Design and Analysis of Fractal Antennas for Multiband Wireless Communication SV Vikas, BV Srinivas, K Satish, S Bindu, P Rekha 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
AI Guided Design of Frequency-Tunable Microstrip Patch Antennas S Kumar, MN Shreyas, S Bindu, MK Prashanth, P Rekha 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Design and Verification of a 16-Bit Multi-Slave SPI Protocol in System Verilog S Priyadarshini, NS Hosamath, SK Panda, DS Gayathri, S Bindu, P Rekha 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Design and Comparative Analysis of Logic Styles for Low-Power and High-Speed Applications in 45 nm and 90 nm CMOS Technology NS Hosamath, S Priyadarshini, N Khan, S Bindu, YJM Shirur, SK Panda 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Optimizing Element Spacing in 4x4 Dipole MIMO Arrays to Minimize Envelope Correlation Coefficient and Maximize Capacity S Pragnya, SP Hegde, S Bindu, P Rekha 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN … , 2025 2025
Verification and Synthesis of Multi-Master MultiSlave AXI4 Stream Interconnect using System Verilog G Sumukh, R Tharun, S Kishore, SK Panda, P Rekha, S Bindu 2025 Third International Conference on Emerging Applications of Material … , 2025 2025
Embedded Wellness Support System using Expressive Interaction D Parinitha, R Ballamajalu, S Bindu, P Rekha 2025 Third International Conference on Emerging Applications of Material … , 2025 2025 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Estimation of yoga postures using machine learning techniques DM Kishore, S Bindu, NK Manjunath International Journal of Yoga 15 (2), 137-143 , 2022 2022 Citations: 84
Smart yoga instructor for guiding and correcting yoga postures in real time DM Kishore, S Bindu, NK Manjunath International Journal of Yoga 15 (3), 254-261 , 2022 2022 Citations: 26
Melatonin improves bioreductant capacity and silver nanoparticles synthesis using Catharanthus roseus leaves SA Sheshadri, S Sriram, P Balamurugan, R Anupriya, SA Princy, ... RSC advances 5 (59), 47548-47554 , 2015 2015 Citations: 21
Design and Verification of APB Protocol by using System Verilog and Universal Verification Methodology RK Vaishnavi, S Bindu, S Chandbasha International Research Journal of Engineering and Technology (IRJET) 6 (06 … , 2019 2019 Citations: 13
Ohmic contact formation to PEDOT-PSS films using graphite-clay S Bindu, MS Suresh British Journal of Applied Science & Technology 6 (4), 342 , 2015 2015 Citations: 10
Comparative genome based cis-elements analysis in the 5′ upstream and 3′ downstream region of cell wall invertase and Phenylalanine ammonia lyase in Nicotiana benthamiana SA Sheshadri, MJ Nishanth, N Harita, P Brindha, S Bindu Computational biology and chemistry 72, 181-191 , 2018 2018 Citations: 7
Development of technique for making Ohmic contacts to PEDOT-PSS films S Bindu, R Anil Kumar, MS Suresh Proceedings of International Conference on VLSI, Communication, Advanced … , 2013 2013 Citations: 6
Impact of Dielectric Substrate on the performance of Microstrip Patch Antenna at millimeter wave frequency PK Desai, S Bindu 2023 International Conference on Intelligent and Innovative Technologies in … , 2023 2023 Citations: 5
A flyback converter based asymmetrical cascaded h-bridge 27 level grid connected inverter from a single source using FPGA S Arunima, S Bindu, KP Unni 2020 International Conference for Emerging Technology (INCET), 1-6 , 2020 2020 Citations: 5
Measurement of bulk resistance of conducting polymer films in presence of rectifying contacts S Bindu, MS Suresh International Journal of Scientific and Research Publications 19 , 2014 2014 Citations: 4
Electric Field Induced Resistance Change in PEDOT-PSS Films MSS S. Bindu British Journal of Applied Science & Technology , 2017 2017 Citations: 2
Embedded Wellness Support System using Expressive Interaction D Parinitha, R Ballamajalu, S Bindu, P Rekha 2025 Third International Conference on Emerging Applications of Material … , 2025 2025 Citations: 1
Exploring the cytotoxicity and DNA binding studies of green synthesized europium stannate nanoparticle through experimental and computational approach MS Raghu, S Bindu, AY Jassim, KY Kumar, MK Prashanth, F Alharethy, ... Materials Chemistry and Physics 333, 130327 , 2025 2025 Citations: 1
Intelligent Iris based chronic kidney identification system T Sarala, MK Prashanth, S Bindu, D Mohan Kishore 2025 International Conference on Intelligent and Innovative Technologies in … , 2025 2025 Citations: 1
Design and fabrication of a 2-port multiple antenna system for mmwave application PK Desai, S Bindu Journal of Communications 18 (11), 705-713 , 2023 2023 Citations: 1
Applications of internet of things with deep learning JR Munavalli, S Bindu, YJM Shirur Convergence of deep learning and internet of things: computing and … , 2023 2023 Citations: 1
Estimation of Depletion Layer Thickness in PEDOT-PSS Films S Bindu 2022 3rd International Conference for Emerging Technology (INCET) Belgaum … , 2022 2022 Citations: 1
Green synthesis of a Ceratophyllum demersum–assisted SrS/Er₂se₃ Z-scheme heterostructure for efficient electrochemical detection and photocatalytic degradation of acetaminophen VS Karigar, AG Alhamzani, S Bindu, EA Abdelrahman, S Harisha, ... Inorganic Chemistry Communications, 116585 , 2026 2026
Integration of Nanotechnology and Machine Learning in Healthcare: Fundamentals, Applications, and Future Scope S Bindu, MK Prashanth, D Mohan Kishore Smart Chips for Smart Devices: VLSI Design for Next‐Generation IoT Solutions … , 2026 2026
Compressed Sensing Based Hybrid Beamforming for mmWave Massive MIMO Systems AM Sheshan, G Subramanya, S Bindu, P Rekha 2026 Contemporary Computing Innovations Conference (CCIC), 1-6 , 2026 2026