Engineering, Electrical and Electronic Engineering
38
Scopus Publications
283
Scholar Citations
8
Scholar h-index
5
Scholar i10-index
Scopus Publications
Optimization for next generation laptops enhancing performance and compactness Devisowjanya P, Aishwarya N, Bhanu Sai Mani Kiran B, Lokesh Kumar K.M, Arun AAdhithyan S.J Scientific Reports, 2025 This paper presents a computational intelligence-optimized multiband MIMO antenna for next-generation laptops, addressing the demand for compact, high-performance, and multiband wireless connectivity. The proposed 4-port MIMO configuration, with an overall footprint of 94.1 × 28.29 × 0.8 mm 3 , is optimized for seamless integration along the laptop’s top edge, where minimal width is crucial. It supports operation at 2.45 GHz, 5 GHz, and 6 GHz, enabling compatibility with dual and tri-band Wi-Fi 6E routers. To accelerate the design process and reduce manual iteration, machine learning (ML) algorithms including AdaBoost, SVM, CatBoost, and Decision Trees were employed. A simulation dataset was generated in CST studio by systematically varying critical antenna parameters. This dataset was used to train the ML models, enabling them to learn the nonlinear relationships between geometry and performance metrics such as S-parameters, gain, efficiency, envelope correlation coefficient (ECC), diversity gain. Upon training, the models predicted optimal design parameters for desired performance goals. The resulting antenna exhibited isolation greater than 16 dB, ECC below 0.08, and a measured realized gains of 0.73, 2.1, and 3 dBi across the operating bands. In addition, the channel capacity loss remained under 0.35 bits/s/Hz, confirming strong MIMO performance. This work highlights that incorporating computational intelligence into antenna design not only expedites the development process but also improves system efficiency, providing a scalable and intelligent solution for next-generation multifunctional, high-speed laptop platforms.
OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired Aishwarya Nagasubramanian, Abdulaziz S. Almazyad, Sakthi Abirami Balakrishnan, Bharath Ram MM, Devisowjanya Potti, Mohammed Zakariah, Deema Mohammed AlSekait Scientific Reports, 2025 Optical Character Recognition (OCR) is a part of transformative Artificial Intelligence (AI) technology which translates printed or handwritten texts into digital, machine-readable form. These OCR systems act as an assistive tool for visually impaired people helping them with real-time text recognition and to interact with their surroundings. This paper presents "OCRNet", a robust deep learning approach to detect and recognize alphanumeric characters in dynamic environments. Firstly, an optimized neural network with 43 layers is designed to capture the spatial features of the 62 alphanumeric characters. A Gated Recurrent Unit (GRU) is then added to capture the temporal dependencies of these characters in order to enhance feature learning. This hybrid model outperforms state-of-the-art Convolutional Neural Networks (CNNs) like EfficientNetB7, MobileNetV2, ResNet50, DenseNet121 and others by achieving a notable accuracy of 95%, precision of 94%, recall of 95% and F1-score of 96%. In order to promote portability and affordability, this model is implemented and tested on a Raspberry Pi platform and has an inference time of 120ms. Tailored for visually impaired users, the proposed system provides real-time text recognition and audio feedback thus enabling seamless interaction with textual content in everyday scenarios like street signs, documents, and digital displays.
A Hybrid Transformer - Classifier Technique for Guitar Play Recognition N Aishwarya, P Devisowjanya, Ajay K 2025 International Conference on Sustainability Innovation and Technology Icsit 2025, 2025 Automatic identification of guitar-playing technique is important for music analysis, identification of performers, and interactive learning. This paper presents a hybrid Transformer-classifier model that utilizes sophisticated spectrogram-based feature extraction techniques to improve classification accuracy. Short-Time Fourier Transform (STFT), Mel-Frequency Cepstral Coefficients (MFCC), Constant-Q Transform (CQT), Continuous Wavelet Transform (CWT), and Gammatone spectrograms are used in order to extract the fine-grained frequency and time-domain features of the guitar sound. These spectrograms are processed through Vision Transformers (ViTs) and Swin Transformers, which extract spatial and temporal features in an efficient manner. These extracted features are subsequently classified through ML classifiers. The experimental demonstrates that the MFCC delivers the highest classification accuracy when coupled with Vision Transformer and Swin Transformer. More precisely, with SVM and MLP classifiers, both models record an accuracy of 97 %. In the case of Linear SVM, Vision Transformer outperforms marginally with a 98 % accuracy, and Swin Transformer records 97 %. These findings highlight the high performance of hybrid Transformer-classifier models in guitar technique recognition without compromising computational efficiency.
Design of Compact Implantable Antenna for Cardiac Leadless Pacemakers Sakthi Abirami Balakrishnan, Devisowjanya P, Mukunth Soundappan K, Pokkala Shiva Sai Proceedings of 2025 1st International Conference on Radio Frequency Communication and Networks Rfcon 2025, 2025 This paper investigates the primary challenges associated with implantable antenna integration, notably detuning effects arising from complex in-body environments, surrounding tissue variability, and interference from implanted device electronics. The demands for device miniaturization and stringent specifications limit the available bandwidth. In this work, a highly compact antenna intended for intracardiac leadless pacemaker applications is presented. Designed to operate at 6 GHz, the antenna was embedded along with the pacemaker’s battery and regulatory circuits to simulate realistic conditions. The antenna was evaluated inside a homogeneous heart phantom through simulation, achieving satisfactory gain and a Specific Absorption Rate (SAR) that meets established safety norms. The structure, featuring a cross-shaped radiator with a major circular aperture and several minor cuts, facilitates compactness and performance at the target frequency. Simulation results affirm the proposed antenna's potential for safe and efficient communication in lead-free pacemakers, offering a promising step forward in biomedical device technology.
Design and Implementation of a MIMO Antenna System with Beam Steering Capabilities for Space-Based mmWave Communications Ashwin B, Devi Sowjanya P, Sakthi Abirami B, Kasimalla Siva Sreedhar Proceedings of 2025 1st International Conference on Radio Frequency Communication and Networks Rfcon 2025, 2025 A Multiple Input Multiple Output (MIMO) antenna system with beam steering capabilities that operates at 26 GHz mmWave frequency has been proposed here for space-based applications like inter-satellite links and deep-space communication systems to maintain continuous, high-gain connectivity with moving satellites, ensuring reliable and low-latency data transmission. Some of the main challenges faced in space-based communication are high free-space path loss, signal attenuation at high frequencies due to atmospheric absorption, and the need for precise beam steering to maintain stable links with moving satellites in LEO and GEO networks. To mitigate this issue, we implement MIMO Array Antennas operating at mmWave frequency with beam-steering capabilities by enabling phase changes, which aids the antenna in directing the energy towards satellites in LEO and GEO orbits dynamically, enhancing coverage and signal strength. By leveraging technology like MIMO (Multiple Input Multiple Output), this antenna system is intended to achieve increased data rates, reduced interference and improved spectral efficiency, making them important for tackling the limitations in space communication networks, ensuring the low-latency and robust connectivity for satellite-based applications. The antenna system with high isolation produced 4° shift in the main lobe direction when 90° phase shift was introduced between the two ports. It also demonstrates an Envelope Correlation Coefficient (ECC) value of 3.04 × 10−5, high directivity gain value of 9.99 dB and realized gain of 12.8 dB.
Terahertz Sensing Using Metasurface Antenna Suchithra R, Sumant Kumar Kavadi Rajkumar, P Devi Sowjanya, V Thenmozhi Proceedings of 2025 1st International Conference on Radio Frequency Communication and Networks Rfcon 2025, 2025 In this work, we have created and simulated a metasurface-based terahertz (THz) antenna which detects the SARS-CoV-2 virus with high sensitivity and precision. We managed to obtain virus detection using a monitoring of changes in the reflection coefficient with the presence of the virus sample on the antenna surface. The antenna was modeled using CST Studio Suite 2019, consisting of Floquet ports to investigate its periodic structure. The material properties of the SARS-CoV-2 virus were predicted using a dielectric constant ranging from 9-15 and a loss tangent of 0.20 to properly model the virus. In the absence of the virus, the antenna has a reflection coefficient of −31.2 dB at 0.3853 THz. Upon the introduction of the virus, the resonance frequency shifts to 0.3432 THz with a dielectric constant of 9 F/m and a frequency shift of 0.3430 THz with a dielectric constant of 15 F/m, providing a measurable 42.3 GHz of frequency shift. This is a confirmation of the proper identification of the virus. It provides a rapid and robust, non-invasive and sensitive method for virus detection. Future work is capable of optimizing the antenna’s structure to detect other kinds of viruses and based on experimental tests, validate performance.
Compact Dual-Band Mimo Antenna for 2.4/5.8 GHz Wlan Applications with End-Fire Radiation for Mobile Devices S. K. Nithesh, Shivani Lakshmi Mani, P. Devisowjanya, Sakthi Abirami Balakrishnan Proceedings of the 2025 12th International Conference on Computing for Sustainable Global Development Indiacom 2025, 2025 The objective of the work is to achieve a compact <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2 \times 2$</tex> MIMO WLAN antenna designed for mobile applications, with dimensions of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$28.5 \times 28.5 ~\text{mm}$</tex>. The antenna operates at dual frequencies of 2.4 GHz and 5.8 GHz, offering bandwidths of 31.4 MHz and 100 MHz, respectively. The design features a circle inscribed within two square outer patches of different dimensions, optimizing end-fire radiation characteristics. It reaches a maximum gain of 3.097 dBi at 2.4 GHz and 2.749 dBi at 5.8 GHz, for isolation values exceeding 30 dB at 2.4 GHz and 20 dB at 5.8 GHz with minimal interference between antenna elements. Compact size and efficient performance make it suitable for modern mobile devices requiring robust dual-band connectivity through MIMO technology.
Dragon Fruit Maturity Detection and Quality Grading with Scalable Deep Neural Networks Aishwarya N, Devisowjanya P, Deshana Vikas Shah, Raavi Niharika 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2025, 2025 The paper addresses the critical need for an automated system to accurately determine the ideal harvest time for dragon fruit. It effectively differentiates between fresh and defective fruit, as well as mature and immature fruit, to maintain high-quality standards. The study presents an advanced approach for detecting the maturity and freshness of dragon fruit using pre-trained deep learning models, including VGG16 (a lightweight model), MobileNetV3 (a moderate-weight model), and EfficientNetBO (a heavy-weight model). Each model utilizes three different activation functions: Exponential Linear Unit (ELU), Rectified Linear Unit (ReL U), and Scaled Exponential Linear Unit (SELU). The features extracted by these models, using the best activation function, were then employed to train five different machine learning classifiers: Support Vector Machine (SVM), Decision Tree, Random Forest Classifier, AdaBoost, and CatBoost. Experimental results indicate that for maturity detection, the combination of EfficientN etBO with the SVM Classifier yields the most favorable results. For quality grading, the optimal outcomes are achieved with the MobileNetV3-SVM combination. This hybrid approach achieves a precision and recall of 99%, along with 99% accuracy for both maturity and freshness detection, thus facilitating the assessment of dragon fruit.
Design and Implementation of an IEEE-Compliant Receiver for 2.45 GHz QAM Signals Pugalbharani N, Sarveshwaran B, Thivya Selvi AR, P Maran, P Devisowjanya 10th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2025, 2025 This paper discusses the design and implementation of a receiver that will receive, process, and demodulate a Quadrature Amplitude Modulation (QAM) signal transmitted at 2.45 GHz, adhering to IEEE standards. The process begins by capturing a 2.45 GHz QAM-modulated signal via a feed antenna, which is then passed through a Low Noise Amplifier (LNA) to improve the signal-to-noise ratio (SNR) by enhancing the strength of the signal with minimal introduction of additional noise. This is followed by a Bandpass Filter (BPF) which will selectively allow the 2.45 GHz signal to pass while attenuating unwanted frequencies. The filtered signal is finally demodulated using a QAM demodulator, extracting the original data encoded onto the carrier signal, essentially decoding the signal. The system’s effectiveness in accurately demodulating 2.45 GHz QAM signals is validated through simulations. This study showcases the system’s potential for use in IEEE–standard wireless communications.
Compact and Low-Profile MIMO Antenna for 5G Wireless Performance Sundareswaran M, Madhavan V, Arasa Chandra Krithik M G, Bharathi Kuppurajan, P Devisowjanya, B Sakthi Abirami 10th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2025, 2025
Design of RF Sensor for Human Neck Motion Detection N PremKishan, M. Sripritham, Sakthi Abirami, Devi Sowjanya P Proceedings 2nd IEEE International Conference on Device Intelligence Computing and Communication Technologies Dicct 2024, 2024
Design of GPS Antenna for Vehicular Application Anne Abhiram, Sunkesula Hasan Basha, Sakthi Abirami Balakrishnan, Devi Sowjanya P Icspc 2023 4th International Conference on Signal Processing and Communication, 2023
Design of Conformal Microwave Sensor for Stroke Detection Soundar Rajan G, Sakthi Abirami Balakrishnan, Dennis Joshua D, Devi Sowjanya P 2022 International Conference on Intelligent Controller and Computing for Smart Power Iciccsp 2022, 2022
Hybrid Plasmonic Metamaterial Absorber for Methane Detection SA Balakrishnan, R Avinaash, SK Nithesh, P Devisowjanya 2026 International Conference on Computing, Communication, Control and Cyber … , 2026 2026
Passive RFID-Based Wall Crack Detection System SA Balakrishnan, SL Mani, P Devisowjanya 2026 International Conference on Innovative Computing, Intelligent … , 2026 2026
OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired A Nagasubramanian, AS Almazyad, SA Balakrishnan, BR Mm, D Potti, ... Scientific Reports 15 (1), 41344 , 2025 2025 Citations: 4
Optimization for next generation laptops enhancing performance and compactness LK KM, AAA SJ Scientific Reports 15 (1), 40806 , 2025 2025
Conformal Microwave Sensor for Noninvasive Sweat Analysis to Predict Electrolyte Imbalances: P. Devisowjanya et al. D Potti, SA Balakrishnan, S Arya, K Karthik Journal of Electronic Materials 54 (11), 9771-9781 , 2025 2025
A Hybrid Transformer–Classifier Technique for Guitar Play Recognition N Aishwarya, P Devisowjanya 2025 International Conference on Sustainability, Innovation & Technology … , 2025 2025
Design and Implementation of a MIMO Antenna System with Beam Steering Capabilities for Space-Based mmWave Communications B Ashwin, KS Sreedhar 2025 1st International Conference on Radio Frequency Communication and … , 2025 2025 Citations: 1
Design of Compact Implantable Antenna for Cardiac Leadless Pacemakers SA Balakrishnan, P Devisowjanya, PS Sai 2025 1st International Conference on Radio Frequency Communication and … , 2025 2025 Citations: 1
Terahertz Sensing Using Metasurface Antenna R Suchithra, SKK Rajkumar, PD Sowjanya, V Thenmozhi 2025 1st International Conference on Radio Frequency Communication and … , 2025 2025
Design and Analysis of a Ladder-Shaped Textile Antenna for SAR-Compliant Driver Fatigue Detection SA Balakrishnan, S Sriram, AV SR, SK GK, P Devisowjanya 2025 2nd International Conference on Research Methodologies in Knowledge … , 2025 2025
Compact Dual-Band Mimo Antenna for Wlan Applications with End-Fire Radiation for Mobile Devices SK Nithesh, SL Mani, P Devisowjanya, SA Balakrishnan 2025 12th International Conference on Computing for Sustainable Global … , 2025 2025
Compact and Low-Profile MIMO Antenna for 5G Wireless Performance M Sundareswaran, V Madhavan, MG Arasa Chandra Krithik 2025 International Conference on Wireless Communications Signal Processing … , 2025 2025
Design and Implementation of an IEEE-Compliant Receiver for 2.45 GHz QAM Signals N Pugalbharani, B Sarveshwaran, AR Thivya Selvi 2025 International Conference on Wireless Communications Signal Processing … , 2025 2025
Dragon Fruit Maturity Detection and Quality Grading with Scalable Deep Neural Networks N Aishwarya, P Devisowjanya 2025 3rd International Conference on Intelligent Data Communication … , 2025 2025 Citations: 2
Compact CPW-Fed Antenna Solutions For L1 Band Military Communication Devices: A Design Approach M Gj, M Abiramavalli, K Tejaswini, P Devisowjanya, S Abirami 2024 International Conference on Communication, Computing, Smart Materials … , 2024 2024
Design of RF Sensor Towards Cervical Spondylosis Detection MR Manoj, R Mukund, SA Balakrishnan 2024 International Conference on Communication, Control, and Intelligent … , 2024 2024
Effective substitution of La 3+ on the NiO crystal structure for the augmentation of photocatalytic tetracycline and Congo red degradation C Udayakumar, J Arunkumar, P Devisowjanya, A Fatehmulla Journal of Materials Science: Materials in Electronics 35 (34), 2146 , 2024 2024
Low-profile MIMO antenna for sub-6G smartphone applications with minimal footprint: an SVM-guided approach D Potti, SA Balakrishnan, VK Kesavan Murugesan, SR Gomathinayagam Journal of Computational Electronics 23 (6), 1402-1412 , 2024 2024 Citations: 2
Implementation of Low-Profile Multiband Planar Antenna for Internet of Vehicle Communication SA Balakrishnan, P Devisowjanya, RKA Ram, BS Sai Wireless Personal Communications 138 (1), 229-243 , 2024 2024 Citations: 6
Triple Band Monopole Antenna for RFID, Energy Harvesting and Data Communication T Rahul, P Devisowjanya, KP Jayaram 2024 2nd International Conference on Networking, Embedded and Wireless … , 2024 2024 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
A novel optically transparent UWB antenna for automotive MIMO communications D Potti, Y Tusharika, MGN Alsath, S Kirubaveni, M Kanagasabai, ... IEEE Transactions on Antennas and Propagation 69 (7), 3821-3828 , 2021 2021 Citations: 129
On the Design and Performance Analysis of Flexible Planar Monopole Ultra‐Wideband Antennas for Wearable Wireless Applications D Thangarasu, RR Thipparaju, SK Palaniswamy, M Kanagasabai, ... International Journal of Antennas and Propagation 2022 (1), 5049173 , 2022 2022 Citations: 26
An ultra‐wideband rectenna using optically transparent Vivaldi antenna for radio frequency energy harvesting D Potti, GNA Mohammed, K Savarimuthu, S Narendhiran, ... International Journal of RF and Microwave Computer‐Aided Engineering 30 (10 … , 2020 2020 Citations: 20
Design and experimental evaluation of a proximity coupled transparent patch antenna for WLAN PD Sowjanya, MGN Alsath, S Kirubaveni, R Govindaraj, N Santhosh IETE Journal of Research 68 (1), 77-84 , 2022 2022 Citations: 17
Reconfigurable bow tie‐based filtering antenna for cognitive radio applications DS Potti, P Balaji, M Gulam Nabi Alsath, K Savarimuthu, U Selvam, ... International Journal of RF and Microwave Computer‐Aided Engineering 30 (7 … , 2020 2020 Citations: 15
Optically Transparent MIMO Antenna with Polarisation Diversity for Vehicular Communications MG Nabi Alsath, PD Sowjanya, S Kirubaveni, V Indu International Journal of Electronics 111 (7), 1213-1229 , 2024 2024 Citations: 9
Multilayer thin film based optically transparent dual‐band automotive windshield antenna D Potti, GNA Mohammed, K Savarimuthu, BB Pamula International Journal of RF and Microwave Computer‐Aided Engineering 32 (4 … , 2022 2022 Citations: 9
Thin film based optically transparent circular monopole antenna for wideband applications D Potti, S Kirubaveni, G Sudhilaya, MGN Alsath, S Radha Analog Integrated Circuits and Signal Processing 110 (2), 301-309 , 2022 2022 Citations: 8
Implementation of Low-Profile Multiband Planar Antenna for Internet of Vehicle Communication SA Balakrishnan, P Devisowjanya, RKA Ram, BS Sai Wireless Personal Communications 138 (1), 229-243 , 2024 2024 Citations: 6
An optically transparent circularly polarized ultrahigh‐frequency radio frequency identification reader antenna D Potti, GNA Mohammed, K Savarimuthu, M Kanagasabai, ... International Journal of RF and Microwave Computer‐Aided Engineering 32 (8 … , 2022 2022 Citations: 6
Enabling Seamless Mobility in 5G NR Networks Using NS-3 and 4G Core Integration TS Raghavi, BVV Reddy, PD Sowjanya 2024 2nd International Conference on Device Intelligence, Computing and … , 2024 2024 Citations: 5
OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired A Nagasubramanian, AS Almazyad, SA Balakrishnan, BR Mm, D Potti, ... Scientific Reports 15 (1), 41344 , 2025 2025 Citations: 4
Non-Invasive Detection of Breast Cancer Using Antipodal Vivaldi Antenna NK Kumar, G Bhuvan, S Abirami 2023 International Conference on Smart Systems for applications in … , 2023 2023 Citations: 4
Design of Conformal Microwave Sensor for Stroke Detection SA Balakrishnan 2022 International Conference on Intelligent Controller and Computing for … , 2022 2022 Citations: 4
Wearable Knee Cap Microwave Sensor for Osteoarthritis Detection S Snehalakshmi, P Devisowjanya 2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse … , 2023 2023 Citations: 3
Dragon Fruit Maturity Detection and Quality Grading with Scalable Deep Neural Networks N Aishwarya, P Devisowjanya 2025 3rd International Conference on Intelligent Data Communication … , 2025 2025 Citations: 2
Low-profile MIMO antenna for sub-6G smartphone applications with minimal footprint: an SVM-guided approach D Potti, SA Balakrishnan, VK Kesavan Murugesan, SR Gomathinayagam Journal of Computational Electronics 23 (6), 1402-1412 , 2024 2024 Citations: 2
Triple Band Monopole Antenna for RFID, Energy Harvesting and Data Communication T Rahul, P Devisowjanya, KP Jayaram 2024 2nd International Conference on Networking, Embedded and Wireless … , 2024 2024 Citations: 2
Design of a Capacitance Coupled Antenna Array for WLAN Application A Dutta, P Devisowjanya 2024 2nd International Conference on Device Intelligence, Computing and … , 2024 2024 Citations: 2
Development of a Annular Ring Patch Antenna with Circular Polarization for Next-Generation GAGAN Receivers Application in GPS-Aided GEO-Augmented Navigation A Neha, P Devisowjanya 2024 10th International Conference on Advanced Computing and Communication … , 2024 2024 Citations: 2
