Dr Sreelakshmy R

@veltech.edu.in

Associate Professor,ECE
Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology

Dr Sreelakshmy R


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https://researchid.co/drsreelakshmyr

RESEARCH INTERESTS

Antenna Design-Wearable antennas
23

Scopus Publications

244

Scholar Citations

6

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Design of a Hilbert Curve Fractal MIMO Slot Antenna With Enhanced Bandwidth and Stable Radiation Patterns for Wi-Fi 7 and Wi-Fi 8 Applications Using Genetic Algorithm
    N. M. Mary Sindhuja, R. Sreelakshmy, Om Prakash Kumar, Muddineni Raveendra
    International Journal of Antennas and Propagation, 2026
    Next‐generation Wi‐Fi 7 (IEEE 802.11be) and Wi‐Fi 8 (IEEE 802.11bn) demand compact multielement antennas offering wide bandwidth, high isolation, and stable radiation within limited device space. Conventional MIMO designs often face strong coupling, narrow bandwidth, or low efficiency, restricting high‐throughput multilink performance. This work presents a Hilbert curve fractal (HCF) four‐port MIMO slot antenna that leverages fractal self‐similarity to extend the surface current path and excite multiple resonant modes within a compact size. The HCF slot supports TE 20 and TE 40 modes—TE 20 excites the lower 5‐GHz band (5150–5945 MHz), while TE 40 generates a higher‐order resonance in the 6‐GHz band (6150–7150 MHz). Merging both bands allows for broadband dual‐band operation. A defective ground structure reduces surface waves and improves isolation, while a genetic algorithm optimizes geometric parameters for wideband impedance matching across all four ports. The improved design has a measured bandwidth of 2125 MHz (5.0–7.125 GHz), a peak gain up to 6.51 dBi, radiation efficiency greater than 82%, and isolation up to −32 dB. The low ECC (< 0.005) and 10‐dB diversity gain make it suitable for durable, high‐capacity Wi‐Fi 7, Wi‐Fi 8, and future sub‐6‐GHz communication systems.
  • Maximizing Performance in Wireless Mobile Ad-Hoc Networks Through Unconventional Routing Strategies
    Satyanand Singh, R. Sreelakshmy, L. Bhagyalakshmi, Himanshu Shekhar, Annamaraju Thanuja, et al.
    SN Computer Science, 2025
  • Isolation Enhancement Based on TM010 and TE30 Mode Characteristics in a Patch Antennas Using Genetic Algorithm Optimization for Ku-Band Applications
    Muddineni Raveendra, U. Saravanakumar, P. Padmaloshani, P. Saam Prasanth Dheeraj, Anand Anbalagan, et al.
    International Journal of Antennas and Propagation, 2025
    This paper proposes a novel technique to enhance isolation in rectangular patch antennas by leveraging the mode characteristics of TM010 and TE30 to achieve better than −40 dB between the transmitter and receiver with dual‐polarization features. The primary innovation of this work lies in achieving significant isolation enhancement solely by combining two resonant modes with orthogonal polarizations, without incorporating any additional design elements such as parasitic components or decoupling structures. To validate the isolation enhancement based on these mode characteristics, a pair of rectangular transmitter and receiver patch antennas was designed to operate in the frequency range from 14 to 14.25 GHz. The transmitter antenna was designed using the TM010 mode with horizontal polarization, while the receiver antenna used the TE30 mode with vertical polarization. The design utilized a Rogers 3003 series dielectric substrate with a dielectric constant of 3.3 and a loss tangent of 0.003. A genetic algorithm with tournament selection and a multiobjective function was applied to optimize key performance metrics, such as impedance matching, bandwidth, and gain. Following successful optimization, the simulated results were validated against measurements, showing excellent agreement and confirming the accuracy of the proposed antenna design.
  • IoT Enabled Smart Street Light and Air Quality Control
    Aby K. Thomas, Himanshu Shekhar, L. Bhagyalakshmi, Sanjay Kumar Suman, R. Sreelakshmy, et al.
    Lecture Notes in Electrical Engineering, 2025
  • Artificial Intelligence-Powered Antenna Design for 6G and Beyond Wireless Communication
    Maheswari. S, N. Srividhya, S. Navaneethan, M. Senthil Murugan, Sreelakshmy R, et al.
    4th IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2025, 2025
    Innovative antenna designs are necessary to meet the high-speed, low-latency needs of 6G and next-generation wireless networks. Because of problems with scalability, efficiency, and flexibility, the performance of standard antenna design approaches degrades in dynamic conditions. Real-time network optimization, interference, and energy usage are additional issues with these systems. The AI-driven antenna design is based on ML and DL techniques. The antenna's architecture is optimized using an AI-based system that continuously learns and adapts to the evolving behavior of the network. It optimizes antennas in real-time by using data preprocessing, feature extraction, and ML models. When compared to the newest technology, it exhibits improvements in throughput, latency, energy usage, and signal quality. These include a 35% reduction in energy consumption, a 40% reduction in latency, and a 20% increase in throughput. The results show that the proposed system can increase network performance and efficiency, which supports the proposed system's potential applicability for wireless communication in 6G and beyond.
  • Design of a Circular Loop Antenna for 5G Millimeter-Wave Application Using Genetic Optimization Algorithm
    Muddineni Raveendra, Sreelakshmy R, Dhanya G, Sruthy R, Deepthy Mary Alex, et al.
    4th Wireless Antenna and Microwave Symposium Wams 2025, 2025
  • Investigation of Split Ring Resonator Based Rectangular Micro-Strip Patch Antenna for Radar Communication
    R. Sreelakshmy, K. V. Shahnaz, Karthika Ganesan, R. Sruthy, P. Bini Palas, et al.
    Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024
    The advent of antenna technology has greatly influenced the field of wireless communication. In this paper, a novel rectangular microstrip patch antenna with split ring resonators is presented. It is intended for use in the X-band, which normally operates between 8 and 12 GHz. Split ring resonators are incorporated into the radiating patch to increase gain and frequency bandwidth. Based on Rogers TMM 10TM, a dielectric material with a relative permittivity of 9.8, the antenna is made to operate at 10.4 GHz in the X-band. Several factors, such as S-parameters, radiation pattern, Voltage Standing Wave Ratio (VSWR), gain, and directivity are used to assess the performance of the proposed antenna. The design and simulation of the antenna need the usage of High-Frequency Structure Simulator (HFSS) software. The findings imply that the suggested antenna configuration has an efficiency of 93.5% and is proved to be an excellent candidate for Radar Communication because of its wide frequency bandwidth and other performances.
  • Advancing Heart Attack Prediction: Machine Learning for Enhanced Cardiac Risk Analysis
    Shailendra Kumar Mishra, R. Sreelakshmy, Gaurav Kumar, Dheeraj Kumar, Sujeet Kumar
    Pioneering Approaches in Data Management, 2024
    Cardiac arrest is one of the most frequently occurring causes of death worldwide. In this disease, the heart normally fails to provide enough blood to other regions of the body to allow them to perform their regular functions. It is tough for doctors to forecast cardiac arrest because various medical and physical habits are taken into consideration for forecasting cardiac arrest. Because the list of parameters is large, it is important to automate the procedure to avoid manual mistake, enhance medical efficiency, and reduce costs. The paper presents Explanatory Data Analysis (EDA) and feature engineering of a data set on the basis of observations. The model uses various Machine Learning (ML) algorithms such as catBoost, Logistic regression, k-Nearest Neighbors, etc. to predict heart failure. In this comparison study, the research paper examines the performance of various machine learning algorithms. The model's performance is best on catboost. Analysing tools such as f-1 score and ROC-curve are drawn to evaluate the algorithm's efficiency.
  • Antenna design exploration and optimization using machine learning
    R Sreelakshmy, V Vishnupriya, KV Shahnaz, G Dhanya, Salini Abraham
    Array and Wearable Antennas Design Optimization and Applications, 2024
  • Design and Development of 6G in the X Subnetworks with Wireless Communications
    A Reena, Gyanendra Kumar Pandey, Yogendra Kumar, R. Sundar, L A Jeni Narayanan, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    In this study, we suggest short-range, lightweight 6th subsequent generations (6 G) in-X network parts as a valuable radio concept responding to the demanding connectivity requirements of new applications like wearable control of arms equipped with robotics and critical on-body gadgets which include wireless heart pacemakers. The main requirements of ultra-high fidelity (exceeding 6 nines when) and sub-millisecond delay at all spatiotemporal contexts demand powerful radio systems contrary to fading and interference. Our study thoroughly explores technology drivers and methods for interference reduction in 6 G in-X subsidiary networks. The proposed methods include blind-repetition at pseudo-random frequency shifts and environment-aware tools for interference control through dynamic channel sharing. Additionally, we suggest two novel enhancements: real-time repeat order adaptation using current channel dynamics and preemptive packet duplication, during which subnetworks that are duplicate signals on a third channel group upon spotting possible nearby subnetwork interference. Simulations in an industrial workplace setting with mobile in-X subnetworks, by employing 3GPP-defined models, show the need for large internet connectivity, packet repeats, and environment-aware interference synchronization to achieve low packet loss percentages and sub- $100 \\mu$ s delay. The suggested improvements show large packet loss rate decrease for systems with life times $\\gt 2$ cycle times.
  • The Technical use of Mobile Robots in Developing Smart Cities in Integration with Vins
    S. Rathika, Shikha Chourasia, E. Arunkumar, Krishna Kant Dixit, D. Satishkumar, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
  • Virtual Instrumentation under Supervisory Control for Safe Water Level Monitoring
    M. R. Ezilarasan, V. Gnanaprakash, Sreelakshmy R, D. Preethi, Rajesh. G, et al.
    5th International Conference on Circuits Control Communication and Computing I4c 2024, 2024
  • Impact of Image Processing and Deep Learning in IoT based Industrial Automation System
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • The Integration of HMS using IOMT and CE Through ANFIS
    R. Sreelakshmy, Cecil Donald, Gnanajeyaraman Rajaram, Prakash Putta, Sadeq Khudhur Thajeel, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
  • Implementation of Characteristic Mode Analysis in Single Fed Triple Mode Wideband Circularly Polarized Low Profile Antennas
    Sreelakshmy. R, Dhanya G, Vishnupriya. V, ShailendraKumar Mishra, Shahnaz K V
    2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023
  • Design and Development of an AI based Intelligent Door for Home Security System
    Sreelakshmy R, ATA. Kishore Kumar, Anita Titus, S. Hemajothi, J. Venkatesh, et al.
    Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
  • An effective Convex-Hull Founded Borderline Recognition in Unattended Wireless Sensor Networks
    Sreelakshmy R, K. Suryakanthi, L. Bhagyalakshmi, Shankar Prasad Mitra, Salini Abraham, et al.
    3rd IEEE International Conference on ICT in Business Industry and Government Ictbig 2023, 2023
  • Patient health monitoring system using smart IoT devices for medical emergency services
    Sreelakshmy R, Sruthy R, R Rajeshwari, B. Thyla, Suresh Kumar M
    Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
  • An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
    R. Sreelakshmy, Anita Titus, N. Sasirekha, E. Logashanmugam, R. Benazir Begam, et al.
    Biomed Research International, 2022
  • Novel cuff button antenna for dual-band applications
    R. Sreelakshmy, G. Vairavel
    ICT Express, 2019
  • RF energy harvesting using a single band cuff button rectenna
    R. Sreelakshmy, G. Vairavel
    Lecture Notes in Electrical Engineering, 2019
  • A comparative study on the performance of wearable antennas using flexible and non-flexible substrates
    R Sreelakshmy, G Vairavel
    Journal of Computational and Theoretical Nanoscience, 2018
  • A wearable type embroidered logo antenna at ISM band for military applications
    R. Sreelakshmy, S. Ashok Kumar, T. Shanmuganantham
    Microwave and Optical Technology Letters, 2017

RECENT SCHOLAR PUBLICATIONS

  • Design of a Hilbert Curve Fractal MIMO Slot Antenna With Enhanced Bandwidth and Stable Radiation Patterns for Wi‐Fi 7 and Wi‐Fi 8 Applications Using Genetic Algorithm
    NMM Sindhuja, R Sreelakshmy, OP Kumar, M Raveendra
    International Journal of Antennas and Propagation 2026 (1), 8112380 , 2026
    2026
  • Design of a Circular Loop Antenna for 5G Millimeter-Wave Application Using Genetic Optimization Algorithm
    M Raveendra, R Sreelakshmy, G Dhanya, R Sruthy, DM Alex, ...
    2025 IEEE Wireless Antenna and Microwave Symposium (WAMS), 1-5 , 2025
    2025
    Citations: 2
  • Maximizing Performance in Wireless Mobile Ad-Hoc Networks Through Unconventional Routing Strategies
    S Singh, R Sreelakshmy, L Bhagyalakshmi, H Shekhar, A Thanuja, ...
    SN Computer Science 6 (2), 177 , 2025
    2025
    Citations: 36
  • Isolation Enhancement Based on TM 010 and TE 30 Mode Characteristics in a Patch Antennas Using Genetic Algorithm Optimization for Ku‐Band Applications
    M Raveendra, U Saravanakumar, P Padmaloshani, PSP Dheeraj, ...
    International Journal of Antennas and Propagation 2025 (1), 9326020 , 2025
    2025
    Citations: 1
  • The Technical use of Mobile Robots in Developing Smart Cities in Integration with Vins
    S Rathika, S Chourasia, E Arunkumar, KK Dixit, D Satishkumar, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
    Citations: 2
  • Design and Development of 6G in the X Subnetworks with Wireless Communications
    A Reena, GK Pandey, Y Kumar, R Sundar, LAJ Narayanan, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
    Citations: 2
  • The Integration of HMS using IOMT and CE Through ANFIS
    R Sreelakshmy, C Donald, G Rajaram, P Putta, SK Thajeel, H Hameed, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • Antenna design exploration and optimization using machine learning
    R Sreelakshmy, V Vishnupriya, KV Shahnaz, G Dhanya, S Abraham
    Array and Wearable Antennas, 86-102 , 2024
    2024
    Citations: 4
  • Impact of Image Processing and Deep Learning in IoT based Industrial Automation System
    B Shobharani, R Sreelakshmy, V Jyothsna, DR Prasad, PCS Reddy, ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
  • IoT Enabled Smart Street Light and Air Quality Control
    AK Thomas, H Shekhar, L Bhagyalakshmi, SK Suman, R Sreelakshmy, ...
    International Conference on Data Science, Machine Learning and Applications … , 2023
    2023
    Citations: 15
  • An effective Convex-Hull Founded Borderline Recognition in Unattended Wireless Sensor Networks
    R Sreelakshmy, K Suryakanthi, L Bhagyalakshmi, SP Mitra, S Abraham, ...
    2023 IEEE International Conference on ICT in Business Industry & Government … , 2023
    2023
  • Design and development of an ai based intelligent door for home security system
    R Sreelakshmy, ATAK Kumar, A Titus, S Hemajothi, J Venkatesh, ...
    2023 International conference on advances in computing, communication and … , 2023
    2023
    Citations: 6
  • Implementation of Characteristic Mode Analysis in Single Fed Triple Mode Wideband Circularly Polarized Low Profile Antennas
    S R, D G, V V, SK Mishra, S K V
    2023 Intelligent Computing and Control for Engineering and Business Systems … , 2023
    2023
  • Research Article An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
    R Sreelakshmy, A Titus, N Sasirekha, E Logashanmugam, RB Begam, ...
    2022
  • [Retracted] An automated deep learning model for the cerebellum segmentation from fetal brain images
    R Sreelakshmy, A Titus, N Sasirekha, E Logashanmugam, RB Begam, ...
    BioMed Research International 2022 (1), 8342767 , 2022
    2022
    Citations: 50
  • Patient health monitoring system using smart IOT devices for medical emergency services
    SKM Sreelakshmy R,Sruthy R,R Rajeshwari,B.Thyla
    2022 International Conference on Innovative Computing, Intelligent … , 2022
    2022
    Citations: 5
  • Novel cuff button antenna for dual-band applications
    R Sreelakshmy, G Vairavel
    ICT Express 5 (1), 26-30 , 2019
    2019
    Citations: 37
  • A Comparative Study on the Performance of Wearable Antennas Using Flexible and Non-Flexible Substrates
    R Sreelakshmy, G Vairavel
    Journal of Computational and Theoretical Nanoscience 15 (11-12), 3481-3485 , 2018
    2018
  • RF Energy Harvesting Using a Single Band Cuff Button Rectenna
    R Sreelakshmy, G Vairavel
    International Conference on Communications and Cyber Physical Engineering … , 2018
    2018
    Citations: 1
  • A wearable type embroidered logo antenna at ISM band for military applications
    R Sreelakshmy, S Ashok Kumar, T Shanmuganantham
    Microwave and Optical Technology Letters 59 (9), 2159-2163 , 2017
    2017
    Citations: 57

MOST CITED SCHOLAR PUBLICATIONS

  • A wearable type embroidered logo antenna at ISM band for military applications
    R Sreelakshmy, S Ashok Kumar, T Shanmuganantham
    Microwave and Optical Technology Letters 59 (9), 2159-2163 , 2017
    2017.0
    Citations: 57
  • [Retracted] An automated deep learning model for the cerebellum segmentation from fetal brain images
    R Sreelakshmy, A Titus, N Sasirekha, E Logashanmugam, RB Begam, ...
    BioMed Research International 2022 (1), 8342767 , 2022
    2022.0
    Citations: 50
  • Novel cuff button antenna for dual-band applications
    R Sreelakshmy, G Vairavel
    ICT Express 5 (1), 26-30 , 2019
    2019.0
    Citations: 37
  • Maximizing Performance in Wireless Mobile Ad-Hoc Networks Through Unconventional Routing Strategies
    S Singh, R Sreelakshmy, L Bhagyalakshmi, H Shekhar, A Thanuja, ...
    SN Computer Science 6 (2), 177 , 2025
    2025.0
    Citations: 36
  • Maximizing Performance in Wireless Mobile Ad-Hoc Networks Through Unconventional Routing Strategies. SN COMPUT. SCI. 6, 177 (2025)
    S Singh, R Sreelakshmy, L Bhagyalakshmi
    Citations: 26
  • IoT Enabled Smart Street Light and Air Quality Control
    AK Thomas, H Shekhar, L Bhagyalakshmi, SK Suman, R Sreelakshmy, ...
    International Conference on Data Science, Machine Learning and Applications … , 2023
    2023.0
    Citations: 15
  • Design and development of an ai based intelligent door for home security system
    R Sreelakshmy, ATAK Kumar, A Titus, S Hemajothi, J Venkatesh, ...
    2023 International conference on advances in computing, communication and … , 2023
    2023.0
    Citations: 6
  • Patient health monitoring system using smart IOT devices for medical emergency services
    SKM Sreelakshmy R,Sruthy R,R Rajeshwari,B.Thyla
    2022 International Conference on Innovative Computing, Intelligent … , 2022
    2022.0
    Citations: 5
  • Antenna design exploration and optimization using machine learning
    R Sreelakshmy, V Vishnupriya, KV Shahnaz, G Dhanya, S Abraham
    Array and Wearable Antennas, 86-102 , 2024
    2024.0
    Citations: 4
  • Design of a Circular Loop Antenna for 5G Millimeter-Wave Application Using Genetic Optimization Algorithm
    M Raveendra, R Sreelakshmy, G Dhanya, R Sruthy, DM Alex, ...
    2025 IEEE Wireless Antenna and Microwave Symposium (WAMS), 1-5 , 2025
    2025.0
    Citations: 2
  • The Technical use of Mobile Robots in Developing Smart Cities in Integration with Vins
    S Rathika, S Chourasia, E Arunkumar, KK Dixit, D Satishkumar, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024.0
    Citations: 2
  • Design and Development of 6G in the X Subnetworks with Wireless Communications
    A Reena, GK Pandey, Y Kumar, R Sundar, LAJ Narayanan, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024.0
    Citations: 2
  • Isolation Enhancement Based on TM 010 and TE 30 Mode Characteristics in a Patch Antennas Using Genetic Algorithm Optimization for Ku‐Band Applications
    M Raveendra, U Saravanakumar, P Padmaloshani, PSP Dheeraj, ...
    International Journal of Antennas and Propagation 2025 (1), 9326020 , 2025
    2025.0
    Citations: 1
  • RF Energy Harvesting Using a Single Band Cuff Button Rectenna
    R Sreelakshmy, G Vairavel
    International Conference on Communications and Cyber Physical Engineering … , 2018
    2018.0
    Citations: 1
  • Design of a Hilbert Curve Fractal MIMO Slot Antenna With Enhanced Bandwidth and Stable Radiation Patterns for Wi‐Fi 7 and Wi‐Fi 8 Applications Using Genetic Algorithm
    NMM Sindhuja, R Sreelakshmy, OP Kumar, M Raveendra
    International Journal of Antennas and Propagation 2026 (1), 8112380 , 2026
    2026.0
  • The Integration of HMS using IOMT and CE Through ANFIS
    R Sreelakshmy, C Donald, G Rajaram, P Putta, SK Thajeel, H Hameed, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024.0
  • Impact of Image Processing and Deep Learning in IoT based Industrial Automation System
    B Shobharani, R Sreelakshmy, V Jyothsna, DR Prasad, PCS Reddy, ...
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024.0
  • An effective Convex-Hull Founded Borderline Recognition in Unattended Wireless Sensor Networks
    R Sreelakshmy, K Suryakanthi, L Bhagyalakshmi, SP Mitra, S Abraham, ...
    2023 IEEE International Conference on ICT in Business Industry & Government … , 2023
    2023.0
  • Implementation of Characteristic Mode Analysis in Single Fed Triple Mode Wideband Circularly Polarized Low Profile Antennas
    S R, D G, V V, SK Mishra, S K V
    2023 Intelligent Computing and Control for Engineering and Business Systems … , 2023
    2023.0
  • Research Article An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
    R Sreelakshmy, A Titus, N Sasirekha, E Logashanmugam, RB Begam, ...
    2022.0