Gurulakshmi A B

@newhorizonindia.edu

Professor/ECE & Associate Head Quality Assurance
New Horizon College of Engineering, Bangalore



                    

https://researchid.co/gurulakshmiab

Inspired to work in the field of RF system design and to impart the knowledge of EMI/EMC to the student community.

EDUCATION

Ph.D in Applied Electronics

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering

FUTURE PROJECTS

Design of RF Amplifier for 3 GHz

Objective of this project is to simulate the stable RF amplifier for high frequency applications using ADS. The optimized design will be fabricated and tested in Research lab for commercialization


Applications Invited
1.Start ups 2.Students 3.Rf design Engineers

Design of LNA for satellite cmmunication

Objective of this project is to simulate the Low Noise Amplifier for high frequency applications using ADS. The optimized design will be fabricated and tested in Research lab for commercialization


Applications Invited
1.Start ups 2.Students 3.Rf design Engineers
47

Scopus Publications

160

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Triple-Stage interleaved zeta converter for PV-Powered EV charging with Bio-Inspired controller optimization
    M. Ganga, B. Kavya Santhoshi, Bapayya Naidu Kommula, and Gurulakshmi AB

    Springer Science and Business Media LLC

  • Speed Control of BLDC Motor using PWM and Arduino Uno
    M. Sai Prasad Reddy, K. Pranav, Wasiqur Rahman, B. Vijay Kumar, Alok Jain, and Gurulakshmi A B

    EDP Sciences
    The system employs a microprocessor-based control mechanism to enhance functionality and precision, implemented with an Arduino bash, a brushless DC (BLDC) motor, and an electronic speed controller (ESC), which permits very fine control of motor speed by employing pulse width modulation (PWM). So with the introduction of PWM signals, the ESC operates perfectly. This configuration demonstrates efficient PWM-based motor control and provides a workable solution to many control and automation problems. For instance, speed control between an Arduino and a BLDC motor is possible. A user finds it easy to operate with a potentiometer that interfaces with the system to adjust the speed of the motor. By presenting system information, a liquid crystal display (LCD) monitor enhances user participation by providing feedback instantly. The patient self-management unit is powered by a LiPo battery to ensure steady and reliable operation at all times. This configuration does illustrate efficient motor control through the use of PWM but also provides a viable alternative for a range of control and automation systems.

  • A Hybrid Machine Learning Framework for Dynamic Resource Optimization in 5G Networks
    S. Umamaheswaran, A. B. Gurulakshmi, J. Mannar Mannan, Rajan John, N. Lakshmana Rao, and S. Nagarajan

    Springer Science and Business Media LLC

  • A Unit Gain Approach with Reconfigurable Antenna for ISM Band
    Sanjeev Sharma, A. B. Gurulakshmi, Y. Veni, and S. Meghana

    Springer Nature Singapore


  • Design and Analysis of Octogon EBG for Patch Antenna in ISM Band
    A. B. Gurulakshmi, Bhawna Khokher, S. Meghana, and Y. Veni

    Springer Nature Singapore

  • Investigation of Different DGSs for Miniaturized Hexagonal Patch Antennas
    A. B. Gurulakshmi, Bhawna Khokher, Y. Veni, and S. Meghana

    Springer Nature Singapore

  • Performance Evaluation of Pasapalli and Modified Sierpinski Square Fractal Antennas in X-Band Spectrum
    A. B. Gurulakshmi, Bhawna Khokher, Y. Veni, and S. Meghana

    Springer Nature Singapore

  • Slot-Infused Patch Antenna with Improved Radiation Characteristics for 5G Millimeter Wave Application
    Sanjeev Sharma, A. B. Gurulakshmi, S. Meghana, and Y. R. Leela Vara Prasad Reddy

    Springer Nature Singapore

  • VLC application in peak to average power reduction in optical NOMA waveform using PAPR methods
    Jyoti A. Dhanke, A. B. Gurulakshmi, R. Krishnamoorthy, Nishant Gaur, Arun Kumar, and Aziz Nanthaamornphong

    Walter de Gruyter GmbH
    Abstract This work presents a novel peak-to-Average aower ratio (PAPR) reduction method for non-orthogonal multiple access (NOMA) waveforms based on an Airy function-based partial transmit sequence (PTS) strategy. The new approach is evaluated over NOMA systems with 64, 256, and 512 subcarriers and compared with traditional PTS, selective mapping (SLM), and clipping and filtering methods. Performance assessment takes into account significant parameters such as PAPR reduction, bit error rate (BER), and power spectral density (PSD). Findings show that the Airy-based PTS scheme efficiently reduces PAPR for all subcarrier configurations with a competitive BER, especially in high-subcarrier applications where conventional methods tend to deteriorate. PSD analysis also verifies that the suggested method maintains spectral integrity, reducing out-of-band emissions. Such a conclusion makes Airy-based PTS a promising means of improving the efficiency of NOMA waveforms in 5G and forthcoming wireless networks via an optimal performance balance between spectral efficiency, reduction of PAPR, and BER performance.

  • Neural network-based peak power and throughput analysis of optical OFDM waveforms with 1024-QAM for high-capacity computer networks
    Fateh Bahadur Kunwar, Somendra Shukla, Shikha Singh, Jyoti A. Dhanke, A. B. Gurulakshmi, and Aziz Nanthaamornphong

    Walter de Gruyter GmbH
    Abstract This work presents a neural network-based framework for peak power suppression and throughput enhancement in optical OFDM systems employing 1024-QAM modulation for high-capacity computer networks. Optical OFDM signals inherently suffer from high peak-to-average power ratio (PAPR), which leads to nonlinear distortions in the optical channel and degrades bit error rate (BER) performance. To address this challenge, a convolutional neural network (CNN)-based scheme is proposed and evaluated under different subcarrier configurations. The analysis demonstrates that the proposed method consistently achieves significantly lower PAPR values, recording only 1.8 dB, 3.5 dB, and 5.5 dB at a complementary cumulative distribution function (CCDF) of 10 −3 for 64, 256, and 512 subcarriers, respectively. In comparison, conventional schemes such as SLM, PTS, SVM, and RNN exhibit considerably higher PAPR levels. Similarly, BER performance analysis shows that the proposed method achieves target BER of 0.001 at 7 dB and 9 dB SNR for 256 and 512 subcarriers, representing up to 13 dB improvement over traditional techniques. These results confirm the robustness, scalability, and efficiency of the proposed NN framework in reducing peak power and improving signal reliability. The findings highlight its potential for integration into next-generation optical communication and computer networking systems requiring high spectral efficiency and energy efficiency.

  • Train Tilt:Machine Learning Model for Computation of Real Time Angles for Trains
    Neha Jadhav, A. B Gurulakshmi, O Suhas, D S Lochan Kumar, A Kishore Kumar, and K Murali

    IEEE

  • Employing Machine Learning to Drive Innovative Strategies for Enhanced Organizational Performance
    Gurulakshmi A B, Gummgatta Yajaman Vybhavi, Jay Singh, Kumar Prashant, K. Srinija, Fatimah Dhari Jabbar, and Lavish Kansal

    IEEE

  • The Future of Smart Buildings: Integration of IoT in Construction Engineering
    Ravi Shankar Raman, Gurulakshmi A B, Lavish Kansal, Ramesh Banoth, Ankit Meheta, Ali Abdulhussein Hameed, and K. Maniraj

    EDP Sciences
    Internet of Things isn’t always approximately about the things themselves; it’s approximately being clever. IoT is real and helpful because of its ability to apply intelligence to sense facts, especially in the context of construction engineering. A smart building’s architecture is a great place to start as IoT is reshaping every aspect of a building, from design to occupancy to maintenance. The experience of workers, control, and tenants is being optimized through the use of IoT data to inform decision-making. Better facilities may simplify corporate processes and increase revenue in smarter homes. The goal of intelligent houses is sustainability. There are several methods for automating tasks with the Internet of Things. It is necessary to address every single facet of the building architecture. This article discusses the problems and technologies of IoT-based smart building architecture. The Internet of Things (IoT) and embedded systems provide the foundation of the “Smart Building” idea. Together with smart lighting in smart buildings and seismic detection, the model that is being shown has several features. When the smart lighting system turns on and off, it is determined by the amount of natural light available and the presence of people within the building. In order to reduce the amount of maintenance needed, smart dustbins that open up when they sense a person are available. Watering systems that are designed to measure the moisture content of the soil are extremely useful for the maintenance of lawns. A seismic activity detection module allows for early warnings of earthquakes and other seismic activity that may occur in the future. It has been successfully developed a smart building concept that uses Arduino and a cloud server to analyze the data gathered from the smart building.

  • Hamiltonian deep neural network optimized with pelican optimization algorithm-fostered substrate-integrated waveguide antenna design for 5G
    A. B. Gurulakshmi, G. Rajesh, B. Saroja, and T. Jackulin

    Springer Science and Business Media LLC

  • Effect of Ambient temperature on the plastic products using the finite element method
    Lavish Kansal, Laith H. Alzubaidi, Gurulakshmi A B, G. Karuna, Shilpa Pahwa, and Karabi Kalita Das

    EDP Sciences
    The escalating use of plastic products alongside rising ambient temperatures has intensified concerns regarding their performance under diverse thermal conditions. This paper delves into the intricate relationship between plastic materials, ambient temperature fluctuations, and resulting stresses. Various grades of plastic materials are subjected to distinct ambient temperatures to elucidate stress generation—a pivotal aspect in plastic product design. Leveraging the finite element method, a comprehensive analysis is conducted to design and assess a plastic product under specified loads and ambient temperatures. The study encompasses the evaluation of equivalent stresses, normal and shear stresses, and deformations. Ultimately, the research culminates in the development and analysis of a thermally stable plastic product, offering valuable insights for robust design practices amidst evolving environmental conditions.

  • Steel Chips Reinforcement in Aluminum-Based Composites: Revolutionizing Manufacturing via Stir Casting Technique
    A.B. Gurulakshmi, M.V. Rama Sundari, Sorabh Lakhanpal, Koushal Dhamija, Ashish Parmar, and Q. Mohammad

    EDP Sciences
    This study investigates the utilization of waste steel chips as reinforcement in aluminum-based composites through the stir casting technique. Steel chip particles were introduced gradually into the molten aluminum alloy while stirring at 400 rpm for 10 minutes to ensure uniform dispersion. Precise temperature control prevented premature solidification, facilitating effective incorporation of steel chips. The resulting composite exhibited a predominantly uniform distribution of reinforcement, indicating successful processing.The addition of 7.5% waste steel chips led to remarkable improvements in mechanical properties. Tensile strength increased by 15.67%, while hardness showed a substantial enhancement of 25.56% compared to the base composite. Moreover, wear resistance exhibited a notable improvement of 19.45%. These enhancements underscore the efficacy of waste steel chips as reinforcement, revolutionizing manufacturing practices in aluminum composites. The findings highlight the potential for sustainable and cost-effective approaches to enhance mechanical performance, contributing to advancements in materials engineering and promoting eco-friendly manufacturing practices.

  • A review on Machine Learning Enhanced Predictive Maintenance for Electric Vehicle Power Electronics: A Pathway to Improved Reliability and Longevity
    Priyanka Gupta, Gurulakshmi A.B, Ginni Nijhawan, Praveen, Lalit Kumar Tyagi, and Raghad Ahmed Hussien

    EDP Sciences
    This proceeding volume has been retracted from the publication because we found some solid reasons to believe that it has infringed our integrity criteria and now presents a risk for our journal and scholarly science in general. Different types of malpractice are involved, in particular citation manipulation and inappropriate references. We are extremely concerned by such malpractice which considerably impacts the image of our title and our Publisher’s reputation. For further details, please refer to our publishing ethics policies . If you have any questions, please contact us at contact@webofconferences.org See the retraction notice E3S Web of Conferences 505 , 00001 (2024), https://doi.org/10.1051/e3sconf/202450500001 See the retraction notice E3S Web of Conferences 505 , 00001 (2024), https://doi.org/10.1051/e3sconf/202450500001

  • Automated Facade Cleaning Robot using Reinforcement Learning model
    Sanjeev Sharma, A B Gurulakshmi, Deepak Yadav, Abhinav Pandey, and Bilal Ahmad Pindth

    IEEE

  • Smart Aquarium Monitoring System for Optimal Aquatic Life Management Using IoT
    Rajesh G, B Saroja, S Ramalakshmi Malladi, Gurulakshmi A B, Bhawna Khokher, and Sanjeev Sharma

    IEEE

  • Automated and Simplified Waste Segregation System Using Convolutional Neural Networks and Python
    G Rajesh, M Jayanthi, Shruti S Kawale, V Sainath, S Rithish Revan, and A B Gurulakshmi

    IEEE

  • A Comprehensive Study of wearable Microstrip Patch Antennas for Biomedical Applications
    Bhawna Khokher, A.B. Gurulakshmi, C J Arpitha, Dhanyashree Gajanan Bhat, Akshata Basanagouda Patil, and Bijaya Laxmi Patra

    IEEE

  • Smart Limb Technology: Bluetooth Integration in Prosthetic Arms
    A B Gurulakshmi, Rajesh G, N Shashank Gowda, Likitha R, Nikhil V Gowda, and Vinod Siddappa Kodliwad

    IEEE

  • A Comparison of Earthquake Prediction using Machine Learning Algorithms
    Subashree Rath, Gurulakshmi A B, Aditya S, Vaibhav R Naik, Amith Pawar, and Vikram Karoor

    IEEE

  • Optimized Parallel and Serial Array Antenna Design for X-Band Aviation Radar Sensors
    Kavita Avinash Patil, A.B. Gurulakshmi, P S Neethu, Salna Joy, Nanditha Krishna, R Baby Chithra, and N J Avinash

    IEEE
    This paper aims to devise an antenna structure tailored for seamless integration into aviation radar sensors. The primary design objectives entail the creation of an antenna resonating within the X-band frequency range, spanning from 8 GHz to 12 GHz, with a central frequency of 9.79 GHz, while prioritizing portability. A meticulously dimensioned unit cell is engineered to achieve these specifications, resulting in an antenna design operating at 10.36 GHz. Key parameters including S11, Gain, Efficiency, and Radiation characteristics are meticulously assessed. Subsequently, these unit cells are arranged in serial and parallel configurations and analyzed across various metrics. Noteworthy findings reveal that the parallel array design exhibits superior radiation performance at 10.3 GHz. In contrast, the serial array configuration demonstrates enhanced attributes, including higher gain and improved S-parameter characteristics, particularly at 10.8 GHz. The input impedances were readily adjusted to match 50-ohm feedlines. The antenna design leverages dielectric materials such as Duriod for the substrate and copper for the patch and ground components. Specifically, the Duriod substrate boasts a dielectric coefficient of 2.2, with a substrate thickness of 1.57 and a copper thickness of ${0. 0 3 5}$. This investigation underscores the efficacy of the serial array antenna design, highlighting its potential for optimal performance in aviation radar sensor applications..

RECENT SCHOLAR PUBLICATIONS

  • Evaluation of Flexible Patch Antennas in the ISM Band for Advanced Healthcare Applications
    G A B, R G, P Bharvesh, CM Reddy, B Khokher, S Sharma
    IEEE International Conference on Distributed Computing, VLSI, Electrical 2025

  • Triple-Stage interleaved zeta converter for PV-Powered EV charging with Bio-Inspired controller optimization
    M Ganga, BK Santhoshi, BN Kommula, G AB
    Applied Nanoscience 15 (6), 53 2025

  • Neural network-based peak power and throughput analysis of optical OFDM waveforms with 1024-QAM for high-capacity computer networks
    FB Kunwar, S Shukla, S Singh, JA Dhanke, AB Gurulakshmi, ...
    Journal of Optical Communications 2025

  • VLC application in peak to average power reduction in optical NOMA waveform using PAPR methods
    JA Dhanke, AB Gurulakshmi, R Krishnamoorthy, N Gaur, A Kumar, ...
    Journal of Optical Communications 2025

  • Train Tilt: Machine Learning Model for Computation of Real Time Angles for Trains
    N Jadhav, AB Gurulakshmi, O Suhas, DSL Kumar, AK Kumar, K Murali
    2025 International Conference on Computing Technologies & Data Communication 2025

  • Design of a Low-Profile Implantable Biomedical Antenna with 2.162 GHz Bandwidth and 3.274 GHz Resonance Frequency
    AB Gurulakshmi, G Rajesh, B Khokher, B Saroja
    2025 7th International Conference on Inventive Material Science and 2025

  • A Hybrid Machine Learning Framework for Dynamic Resource Optimization in 5G Networks
    S Umamaheswaran, AB Gurulakshmi, JM Mannan, R John, NL Rao, ...
    Wireless Personal Communications, 1-29 2025

  • Employing Machine Learning to Drive Innovative Strategies for Enhanced Organizational Performance
    AB Gurulakshmi, GY Vybhavi, J Singh, K Prashant, K Srinija, FD Jabbar, ...
    2025 International Conference on Intelligent Control, Computing and 2025

  • Speed Control of BLDC Motor using PWM and Arduino Uno
    MSP Reddy, K Pranav, W Rahman, BV Kumar, A Jain, G AB
    E3S Web of Conferences 619, 02007 2025

  • A Comparison of Earthquake Prediction using Machine Learning Algorithms
    S Rath, AB Gurulakshmi, S Aditya, VR Naik, A Pawar, V Karoor
    2024 International Conference on IoT Based Control Networks and Intelligent 2024

  • Smart Aquarium Monitoring System for Optimal Aquatic Life Management Using IoT
    G Rajesh, B Saroja, SR Malladi, AB Gurulakshmi, B Khokher, S Sharma
    2024 9th International Conference on Communication and Electronics Systems 2024

  • Design and Optimization of Antennas with Improved ON–OFF Body Performance for Biomedical Applications
    AB Gurulakshmi, B Khokher, G Rajesh, S Sharma, S Meghana, Y Veni, ...
    Smart Hospitals: 5G, 6G and Moving Beyond Connectivity, 139-168 2024

  • Optimized Parallel and Serial Array Antenna Design for X-Band Aviation Radar Sensors
    KA Patil, AB Gurulakshmi, PS Neethu, S Joy, N Krishna, RB Chithra, ...
    2024 International Conference on Recent Advances in Science and Engineering 2024

  • Investigation of Different DGSS for Miniaturized Hexagonal Patch
    AB Gurulakshmi, B Khokher, Y Veni, S Meghana
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2024 2024

  • A Unit Gain Approach with Reconfigurable Antenna for ISM Band
    S Sharma, AB Gurulakshmi, Y Veni, S Meghana
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2024 2024

  • Slot-Infused Patch Antenna with Improved Radiation Characteristics for 5G Millimeter Wave Application
    S Sharma, AB Gurulakshmi, S Meghana, YRLVP Reddy
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2024 2024

  • Design and Analysis of Octogon EBG for Patch Antenna in ISM Band .
    AB Gurulakshmi, B Khokher, S Meghana, Y Veni
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2024 2024

  • Performance Evaluation of Pasapalli and Modified Sierpinski Square Fractal Antennas in X-Band Spectrum
    AB Gurulakshmi, B Khokher, Y Veni, S Meghana
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2024 2024

  • Metamaterial Dual L-Slot Triangle Patch Antenna for Optimal X-Band Applications
    B Khokher, AB Gurulakshmi, G Rajesh, S Sharma, Y Vent, S Meghanal, ...
    Recent Advances in Science, Engineering & Technology, 10-16 2024

  • A Comprehensive Study of wearable Microstrip Patch Antennas for Biomedical Applications
    B Khokher, AB Gurulakshmi, CJ Arpitha, DG Bhat, AB Patil, BL Patra
    2024 International Conference on Computational Intelligence for Green and 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Morphological image processing approach on the detection of tumor and cancer cells
    MP Beham, AB Gurulakshmi
    2012 International Conference on Devices, Circuits and Systems (ICDCS), 350-354 2012
    Citations: 29

  • DB-scan algorithm based colon cancer detection and stratification analysis
    G Rajesh, B Saroja, M Dhivya, AB Gurulakshmi
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile 2020
    Citations: 24

  • A survey on design and application approaches in women-safety systems
    K Ashok, AB Gurulakshmi, MB Prakash, RM Poornima, NS Sneha, ...
    2022 8th International conference on advanced computing and communication 2022
    Citations: 22

  • Enhanced time-to-time monitoring and surveillance in agriculture warehouse for diverse harvest crop yields through iot gadget
    G Rajesh, B Saroja, A Gurulakshmi, RS Malladi
    2022 International Conference on Distributed Computing, VLSI, Electrical 2022
    Citations: 11

  • A review on machine learning enhanced predictive maintenance for electric vehicle power electronics: A pathway to improved reliability and longevity
    P Gupta, AB Gurulakshmi, G Nijhawan, P Praveen, LK Tyagi, RA Hussien
    E3S Web of Conferences 505, 03017 2024
    Citations: 10

  • VLC application in peak to average power reduction in optical NOMA waveform using PAPR methods
    JA Dhanke, AB Gurulakshmi, R Krishnamoorthy, N Gaur, A Kumar, ...
    Journal of Optical Communications 2025
    Citations: 6

  • Hamiltonian deep neural network optimized with pelican optimization algorithm-fostered substrate-integrated waveguide antenna design for 5G
    AB Gurulakshmi, G Rajesh, B Saroja, T Jackulin
    Journal of Computational Electronics 23 (3), 620-633 2024
    Citations: 6

  • Numerical analysis on slinky 3 dB power divider for high speed RF sensor system
    AB Gurulakshmi, G Rajesh
    2022 IEEE International Conference on Electronics, Computing and 2022
    Citations: 6

  • Design and analysis of power optimization in internet of things using RFID based energy harvesting mechanism
    M Dhivya, G Rajesh, AB Gurulakshmi, S Sharma
    2022 fourth international conference on cognitive computing and information 2022
    Citations: 5

  • A Comprehensive Study of wearable Microstrip Patch Antennas for Biomedical Applications
    B Khokher, AB Gurulakshmi, CJ Arpitha, DG Bhat, AB Patil, BL Patra
    2024 International Conference on Computational Intelligence for Green and 2024
    Citations: 4

  • Scheduled Line of Symmetry Solar Tracker with MPT and IoT
    AB Gurulakshmi, S Sharma, N Manoj, NA Bhinge, HM Santhosh, ...
    IoT Based Control Networks and Intelligent Systems, 265-274 2023
    Citations: 4

  • Theoretical Analysis of Viola-Jones Algorithm Based Image and Live-Feed Facial Recognition
    MB Savadatti, AB Gurulakshmi, N Nataraj, R Anusha, S Yadav
    2022 International Conference on Advances in Computing, Communication and 2022
    Citations: 4

  • Detection of Pests using Image Processing and Deep Learning
    AB Gurulakshmi, G Rajesh
    2022 International Conference on Advances in Computing, Communication and 2022
    Citations: 4

  • Security Enhanced RFID-Based Digital Locking System in Home Automation Using IoT Framework
    M Dhivya, AB Gurulakshmi, G Rajesh, S Sharma
    Intelligent Communication Technologies and Virtual Mobile Networks, 387-400 2023
    Citations: 3

  • Development of a mobile disinfectant robot with UV lamps for the prevention of covid-19
    AB Gurulakshmi, NRN Kumar, S Sharan, A Jakkaraddi, K Kabilan, ...
    2022 International Conference on Innovative Computing, Intelligent 2022
    Citations: 3

  • Design and analysis of various non-radiating transmission line structures on a high-speed PCBs
    AB Gurulakshmi, N Suresh Kumar, M Dhivya, R Gundlapalle, S Sharma
    International Conference on Computing, Communication, Electrical and 2022
    Citations: 3

  • Speed Control of BLDC Motor using PWM and Arduino Uno
    MSP Reddy, K Pranav, W Rahman, BV Kumar, A Jain, G AB
    E3S Web of Conferences 619, 02007 2025
    Citations: 2

  • Automated facade cleaning robot using reinforcement learning model
    S Sharma, AB Gurulakshmi, D Yadav, A Pandey, BA Pindth
    2024 International Conference on Smart Systems for applications in 2024
    Citations: 2

  • Effect of Ambient temperature on the plastic products using the finite element method
    L Kansal, LH Alzubaidi, G Karuna, S Pahwa, KK Das
    E3S Web of Conferences 507, 01064 2024
    Citations: 2

  • An Arduino Development Board Based Metal Detecting Robot for Terrestrial Applications
    R G, AB Gurulakshmi, A Kavya, K Charishma, C Bhavya, D SaiKumar
    2023 3rd International Conference on Innovative Practices in Technology and 2023
    Citations: 2

GRANT DETAILS

i. Received Rs. 30,000/- fund for conducting seminar on Impact of EMI/EMC on system design for High Integrity Defense Sector from CSIR, New Delhi, 2019-2020
ii. Received Rs. 1,00,000/- for SPICES scheme from AICTE for the academic year 2020-2021
iii. Received Rs 15,00,000/- from VTU under Research Grant Scheme 2021 as Co-PI for research Project “Sustainable Agriculture Solution for Mulberry Cultivation”
iv. Received Rs. 8000/- from KSCST for student’s project for the academic year 2024-25

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

(i) Paper titled,” Design and Implementation of single Tune RF Mixer ”, Published in the International Journal of Information and Computing Science ,(IJICS), Vol. 6, No. 5, May 2019 – UGC Approved Journal
(ii) Paper titled,” Design and Analysis of Four Way Power Divider for High Frequency Applications ”, Published in the International Journal of Information and Computing Science ,(IJICS), Vol. 6, No. 5, May 2019 – UGC Approved Journal
(iii) Paper titled,” Analysis and Estimation of Crosstalk in Multi conductor Transmission Lines”, Published in the International Journal of Printing, Packaging & Allied Sciences,(IJPPAS), Vol. 5, No. 1, February 2017 – Annexure I
(iv) Paper titled,” Analysis and Estimation of Crosstalk in Multi conductor Transmission Lines”, Published in the International Journal of Printing, Packaging & Allied Sciences,(IJPPAS), Vol. 5, No. 1, February 2017 – Annexure I
(v) Paper titled, "Electromagnetic Modeling of Multi conductor Transmission Lines in the Analysis of Crosstalk at the bents of PCB", published in the International Journal of Applied Engineering Research (IJAER), ISSN 0973-4562 Vol. 10 (2015), August 2015 – Annexure II
(vi) Paper titled “Analysis and Modeling of Crosstalk in Different High Speed Planar Structure using Advanced Design System” published in ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 9, May 2015 - Annexure - II.
(vii) Paper titled “Effective PEEC Modeling of Transmission Lines Structures using a Selective Mesh Approach” published in Electrical Engineering: An International Journal (EEIJ), Vol. 1, No. 1, June 2014.
(viii) Paper titled “Morphological Image processing approaches on detection of brain tumor and cancer cells" indexed in the IEEE Explorer. - 15/Mar/2012 Published in: Devices, Circuits and Systems (ICDCS), 2012 International Conference on Page(s):350 - 354 Print ISBN:978-1-4577-1545-7 INSPEC Accession Number:12692840 Digital Object Identifier:10.1109/
(ix) Performance Analysis of Multicarrier CDMA technique for 4G mobile communication – IJCA – International Journal for Computer Application.
01/2011; DOI:10.1145/1980022.1980206 In proceeding of: Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25 - 26, 2011