Ayyanar N

Scopus Publications

A Highly Sensitive WS2 Quantum Dots Nanocoated Surface Plasmonic Resonance Based Side Polished Fiber Sensor for Detection of Parkinson's Disease
J. Mohanraj, M. Valliammai, Lung-Jieh Yang, Gulothungan G, N. Ayyanar, Jeyanthi P
IEEE Sensors Letters, 2026
In this letter, we propose a highly sensitive evanescent field based side polished fiber (SPF) biosensor nano-coated with tungsten disulfide (WS<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula>) quantum dots (QDs) for the label-free detection of Parkinson's disease (PD). alpha-synuclein (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula>-syn) is identified as a key biomarker for early and rapid diagnosis of PD. The sensing mechanism relies on surface plasmon resonance (SPR) based interaction between the evanescent field in the anti-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula>-syn antibodies immobilized on the (WS<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula>) QDs and side polished fiber region. The proposed biosensor demonstrates a sensitivity of 85% with a limit of detection (LOD) around 0.517 fg/mL. A maximum SPR wavelength shift of 97.62nm was observed at an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula>-syn concentration of 10<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{5}$</tex-math></inline-formula> fg/mL. Further, the proposed biosensor exhibits an excellent selectivity toward <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula>-syn compared to potential interfering proteins such as Amyloid-beta (A<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>42) and bovine serum albumin (BSA). Thus, the proposed WS<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula> QDs nano-coated SPF biosensor is a promising platform for point-of-care (PoC) diagnostics and preclinical assessment of PD.
Interpretable Pruned SpinalNet Network Regressor for Directional Bend Sensing Behavior Prediction of Dumbbell-Core Fiber Sensor
S. Sridevi, P. Anandan, N. Ayyanar, Yanhua Luo
IEEE Sensors Journal, 2026
Refractive index-insensitive direction bend sensors made of specialty microstructured optical fibers (MOFs) play important roles in structural health monitoring robotics, medical sensing, IoT, aeronautics, and underwater technologies. However sensor performance optimization is computationally expensive to optimize through Finite Element Method (FEM) based COMSOL simulations. Hence this research focuses on contriving a significant feature pruned Interpretable SpinalNet Neural network regression model to predict the optical transmission spectrum of a fabricated dumbbell-shaped dual-core MOF bend sensor. Initially the baseline Dense neural network regressor with 47,809 trainable parameters trained on MOF fabricated sensor experimental dataset without augmentation achieved an R2 score of 0.9218. After Autoencoder based data augmentation the model’s R2 score was increased to 0.9480 with a corresponding 95% confidence interval ranging from 0.9443 to 0.9515. A baseline SpinalNet regressor model trained on augmented dataset by gradually feeding the input feature representations at successive stages was able to achieve an R2 score of 0.9729 and a 95% confidence interval of 0.9703 to 0.9752, though it required 88,065 trainable parameters. A more efficient Tuned SpinalNet variant regressor built with hyperparameter tuning presented a superior predictive performance with an R2 score of 0.9748 and a 95% confidence interval of 0.9723–0.9772 with only 50,689 parameters. In addition, interpreting and identifying the significant feature was performed with Shapley Additive Explanations (SHAP) approach, paved a way to contrive a feature pruned regressor variant namely Interpretable Pruned SpinalNet model with competitively high R2 score of about 0.9736 and a 95% confidence interval of 0.9721 to 0.9770 by comprising only 44,545 trainable parameters. Surprisingly, the proposed model demonstrated strong generalization when evaluated on an unseen data set for the bend radius of 3.79 mm. Thus, the proposed Interpretable pruned SpinalNet model offers an efficient, fast and precise method to characterize the sensing behavior of real-time MOF bend sensor.
Study Review of Optical Biosensors Based on 2D Materials
P. Sangeetha, N. Ayyanar, G. Prabhakar, S. Rajaram
Plasmonics, 2025
Exploratory analysis of protein detection using refractive index in a one-dimensional ternary photonic crystal
Nambi Ramachary Ramanujam, Sana Ben Khalifa, Saleh Chebaane, Natesan Ayyanar, Julia S Skibina, Taoufik Saidani
Journal of Optics United Kingdom, 2025
This study investigates the highly sensitive detection capabilities of albumin using a defective one-dimensional photonic crystal. A novel biophotonic sensor is proposed featuring a cavity layer sandwiched between five identical periods of ternary layers composed of MgF2/Si/PSi on each side. The transfer matrix method is employed to examine the sensing parameters based on the transmission characteristics of the proposed sensor. A defect mode emerges in the transmission spectrum when the sample infiltrates the cavity layer. The performance of the biosensor is evaluated by noting the shift in the position of the defect mode, which is dependent on the concentration and varies with the refractive index of the sample. The effects of variations in the incident angle and the thickness of the cavity layer for transverse magnetic (TM) polarization are carefully investigated to achieve the highest sensor sensitivity. For the proposed structure, a high sensitivity of 2009.64 nm RI U − 1 and a limit of detection of 9.698 × 10−7 RIU are achieved, surpassing recent efforts in this research area. Additionally, the proposed device’s affordability, real-time detection capabilities, and simple construction favor the development of an effective device using straightforward techniques.
Machine Learning Based Modeling of Electrical Characteristics in Triangular Gate FinFETs for Low Power Electronics
M. Hemalatha, N. B. Balamurugan, M. Suguna, N. Ayyanar
International Journal of Numerical Modelling Electronic Networks Devices and Fields, 2025
Modeling and optimization of devices play a critical role in the management of product quality and the advancement of technology within the industrial sector. With the advent of novel devices and the progression of technology, these devices exhibit a multitude of interrelated factors and demonstrate a nonlinear correlation. Triangular Gate (TG) FinFETs technology has emerged as a possible alternative for addressing the limitations of traditional planar transistors in present integrated circuits (ICs). This paper presents an effective data‐driven Multiobjective Optimization (MOO) with evolutionary computation (EC) techniques. By using these techniques, TG FinFETs enables the automated identification of optimal design that balances the transistor speed, power, and variability. To assist in the design of TG FinFETs, this study integrated two popular MOO techniques such as PAL and NSGA‐III. These algorithms effectively handle the complicated trade‐offs between diverse objectives and allow for efficient and effective TG FinFETs design optimization.
GST-Based Surface Plasmon Resonance Reconfigurable Biosensor for Detection of Human Sperm
N. Ayyanar, Gracia Nirmala Rani, K. Dharshini, G. Madhumita, N. R. Ramanujam, G. Prabhakar, S. Rajaram
Plasmonics, 2025
Surface plasmon resonance sensor with 2D materials for enhanced refractive index detection of chemical pollutants in seawater
V. Nirmal Kannan, G. Prabhakar, N. Ayyanar
Optik, 2025
Bovine serum albumin sensor based on dual asymmetric core photonic crystal fiber
S. Ramya, M. Manoj Kumaran, N. Ayyanar, Fahad A. Alzahrani
Journal of Optics India, 2025
Numerical Design of a High-Sensitivity SPR Biosensor for Spike and Nucleoprotein RBD Detection in SARS-CoV-2 Diagnostics
N. Ayyanar, M. Kamaleshwar, N. R. Ramanujam, G. Thavasi Raja, Julia S. Skibina, Fahad A. Alzahrani
IEEE Transactions on Plasma Science, 2025
In this study, we present a surface plasmon resonance(SPR) sensor design utilizing a bimetallic prism configuration composed of silver (Ag) and nickel (Ni) for spike and nucleoprotein RBD detection in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The sensor’s performance is enhanced by black phosphorus (BP), a 2-D nanomaterial known for its superior biomolecule adsorption, which improves the interaction between bioanalytes and the sensor surface. Key performance metrics, including sensitivity, detection accuracy (DA), figure of merit (FOM), and full-width at half-maximum (FWHM), are comprehensively evaluated. The sensor’s design is optimized by adjusting the thicknesses of Ag, Ni, and barium titanate (BaTiO3) layers. The optimal configuration consists of a 40-nm Ag layer, a 9-nm Ni layer, an 11-nm BaTiO3 layer, and a monolayer of BP, achieving the highest sensitivity of 533°/RIU for spike RBD and 525°/RIU for nucleoprotein RBD. The device further demonstrates a DA of 0.325 1/° for the spike RBD and 0.255 1/° for the nucleoprotein RBD, with corresponding FOM of 115 RIU−1 and 108 RIU−1, respectively. This setup also demonstrated excellent DA, FWHM, and FOM, making it ideal for real-time, label-free detection applications. The proposed sensor shows great potential, particularly in detecting the SARS-CoV-2 virus, highlighting its suitability for clinical diagnostic use.
Refractive insensitive directional bend sensor based on specialty microstructure optical fiber with dumbbell shape core
Yanhua Luo, Chaofan Zhao, Binbin Yan, Ayyanar Natesan, Vigneswaran Dhasarathan, Xiaohong Sun, Wei Chen, Gang-Ding Peng
Optics and Laser Technology, 2025
5G and fiber optics security technologies for smart grid cyber defense
Ayyanar, N., Prabhakar, G., Rajaram, S. 1973-
5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
Preface
5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
Ultra-low loss compact active TM mode pass polarizer using phase change material in silicon waveguide
Nishanthika V, Ayyanar Natesan, Jesuwanth Sugesh R G, Rajaram Siva
Journal of Optics United Kingdom, 2024
Design and fabrication of a softrobotic gripper for involving underwater vehicles in seaweed farming
Prabhakar Gunasekaran, Meenakshi S., Jainulafdeen A., Ayyanar N., Rajalakshmi Murugesan
Modeling Simulation and Control of AI Robotics and Autonomous Systems, 2024
Design of THz photonic crystal fiber based biosensor for detection of brain tissues and behavior characterization with Machine learning approach
K. R. Deepa, S. Padma, S. Sridevi, N. Ayyanar
Optical and Quantum Electronics, 2024
Protein Detection Using Hollow Core Microstructured Optical Fiber
N. Ayyanar, Svetlana S. Konnova, Anastasiya A. Zanishevskaya, Pavel A. Lepilin, Andrey A. Shuvalov, Julia S. Skibina, Fahad A. Alzahrani
IEEE Sensors Journal, 2024
Highly bend compensated large mode area segmented cladding fiber with high index circular multitrench in core
S. Eswaramoorthy, N. Ayyanar, G. Thavasi Raja, Fahad A. Alzahrani
Optical and Quantum Electronics, 2023
Teeth segmentation by optical radiographic images using VGG-16 deep learning convolution architecture with R-CNN network approach for biomedical sensing applications
Mohammad Khursheed Alam, Tahsinul Haque, Fatema Akhter, Hamad Nasser Albagieh, Abdullah Bin Nabhan, May Ahmed Alsenani, Ayyanar Natesan, N. R. Ramanujam, Safiqul Islam
Optical and Quantum Electronics, 2023
Optical Characteristics of Liquid-Infiltrated Elliptical Core Photonic Crystal Fiber
M. Shanthi, R. Seyezhai, N. Ayyanar, M. S. Mani Rajan
Plasmonics, 2023
Photonic crystal fiber-based biosensor for detection of women reproductive hormones
Dhinakaran Vijayalakshmi, N. Ayyanar, C. T. Manimegalai, Fahad A. Alzahrani
Optical and Quantum Electronics, 2023
A review on various sensing prospects of SPR based photonic crystal fibers
Shivam Singh, Bhargavi Chaudhary, Anurag Upadhyay, Divya Sharma, N. Ayyanar, Sofyan A. Taya
Photonics and Nanostructures Fundamentals and Applications, 2023
Graphene-Based Metasurface Refractive Index Biosensor for Hemoglobin Detection: Machine Learning Assisted Optimization
Shobhit K. Patel, Jaymit Surve, Juveriya Parmar, Ayyanar Natesan, Vijay Katkar
IEEE Transactions on Nanobioscience, 2023
Design of highly sensitive biosensors using hollow-core microstructured fibers for plasma sensing in aids with human metabolism
Mohammad Khursheed Alam, Kamalakannan Vadivel, Ayyanr Natesan, Mohammed Ghazi Sghaireen, Kiran Kumar Ganji, Kumar Chandan Srivastava, Shadi Nashwan, Yousef Khader
Optical and Quantum Electronics, 2023
Graphene-Based D-Shaped Gold-Coated Photonic Crystal Fiber for Transformer Oil Moisture Sensing
M. S. Mani Rajan, N. Ayyanar
Advanced Structured Materials, 2023
FEM Based Soft Robotic Gripper Design For Seaweed Farming
S. Meenakshi, G. Prabhakar, N. Ayyanar, P. Nedumal Pugazhenthi
2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
Graphene-Based Refractive Index Sensor Using Machine Learning for Detection of Mycobacterium Tuberculosis Bacteria
Juveriya Parmar, Shobhit K. Patel, Vijay Katkar, Ayyanar Natesan
IEEE Transactions on Nanobioscience, 2023
Terahertz Women Reproductive Hormones Sensor Using Photonic Crystal Fiber With Behavior Prediction Using Machine Learning
A Naesha Nithish, Shobhit K. Patel, N. Ayyanar, Jaymit Surve, S. Rajaram, S.N. Deepa, Truong Khang Nguyen, Fahad Ahmed Al-Zahrani
IEEE Access, 2023
Experimental and theoretical study of polarization in commercially available photonic crystal fibers
Rakhi Bhattacharya, M. S. Mani Rajan, A. Sharafali, N. Ayyanar, Hassan Pakarzadeh
Optical and Quantum Electronics, 2022
Human Teeth Disease Detection Using Refractive Index Based Surface Plasmon Resonance Biosensor
Mohammad Khursheed Alam, Vigneswaran Dhasarathan, Ayyanar Natesan, Ramanujam Nambi, Mahmud Uz Zaman, Kiran Kumar Ganji, Rehana Basri, Manay Srinivas Munisekhar, Anil Kumar Nagarajappa, Huda Abutayyem
Coatings, 2022
Numerical characterization of 1D-Photonic crystal waveguide for female reproductive hormones sensing applications
N.R. Ramanujam, Abinash Panda, Preecha Yupapin, Ayyanar Natesan, Prakasit Prabpal
Physica B Condensed Matter, 2022
Graphene-assisted tunable D-shaped photonic crystal fiber sensor in the visible and IR regions
H. Pakarzadeh, V. Sharif, D. Vigneswaran, N. Ayyanar
Journal of the Optical Society of America B Optical Physics, 2022
Deep Learning Based Data Augmentation and Behavior Prediction of Photonic Crystal Fiber Temperature Sensor
S Sridevi, T Kanimozhi, N Ayyanar, Sunny Chugh, M Valliammai, J Mohanraj
IEEE Sensors Journal, 2022
Hollow-Core Microstructured Optical Fiber Based Refractometer: Numerical Simulation and Experimental Studies
N Ayyanar, G Thavasi Raja, Y. S Skibina, Yashar E. Monfared, A. A. Zanishevskaya, A. A. Shuvalov, Gryaznov A. Yu
IEEE Transactions on Nanobioscience, 2022
Photonic crystal-based biosensor for detection of human red blood cells parasitized by plasmodium falciparum
Ali Rashidnia, Hassan Pakarzadeh, Mohsen Hatami, Natesan Ayyanar
Optical and Quantum Electronics, 2022
Compact Photonic Crystal Fiber for Sensing Applications in the THz Regime
N. Ayyanar, Abinash Panda, S. Rajaram, D. Vigneswaran, Puspa D. Pukhrambam
Terahertz Devices Circuits and Systems Materials Methods and Applications, 2022
Design and Performance Analysis of Reconfigurable 1D Photonic Crystal Biosensor Employing GeSbTe (GST) for Detection of Women Reproductive Hormones
Abinash Panda, D. Vigneswaran, Puspa Devi Pukhrambam, Natesan Ayyanar, Truong Khang Nguyen
IEEE Transactions on Nanobioscience, 2022
Investigation of transmission properties in defective one dimensional superconductive photonic crystal for ultralow level bioethanol detection
Abinash Panda, Puspa Devi Pukhrambam, Natesan Ayyanar, Truong Khang Nguyen
Optik, 2021
Detection of blood glucose with hemoglobin content using compact photonic crystal fiber
Dhinakaran Vijayalakshmi, C. Manimegalai, N. Ayyanar, D. Vigneswaran, K. Kalimuthu
IEEE Transactions on Nanobioscience, 2021
High amplitude sensitivity gold-coated trichannel photonic crystal fibre for refractive index sensor
Vijayalakshmi Dhinakaran, Manimegalai Chellappan Thangappan, Ayyanar Natesan, Kalimuthu Krishnan
Iet Optoelectronics, 2021
Highly sensitive tri-path photonic crystal fiber plasmonic sensor based on hybrid layer of gold/platinum diselenide
Dhinakaran Vijayalakshmi, C. T. Manimegalai, Natesan Ayyanar, Truong Khang Nguyen, K. Kalimuthu
Optical and Quantum Electronics, 2021
Spiral Structured Photonic Crystal Fiber-Based Plasmonic Sensor with Bimetallic Coating
D Vijayalakshmi, C T Manimegalai, N Ayyanar
Journal of Physics Conference Series, 2021
Photonic crystal fiber-based reconfigurable biosensor using phase change material
N. Ayyanar, K. V. Sreekanth, G. Thavasi Raja, M. S. Mani Rajan
IEEE Transactions on Nanobioscience, 2021
Numerical investigation of dual guided elliptical ring core few-mode fiber for space division multiplexing applications
D. Vigneswaran, M.S. Mani Rajan, N. Ayyanar, Shobhit K. Patel
Optik, 2021
Lasing characteristics of highly bend compensated large mode area ytterbium doped modified hybrid multi trench fiber
N. Ayyanar, G. Thavasi Raja
Optical Fiber Technology, 2021
Photonic crystal mach-zehnder optical switch based on phase change material
K. Vinay Kumar, R. Rajasekar, N. Ayyanar, G. Thavasi Raja
Proceedings of the IEEE Conference on Nanotechnology, 2020
High speed optical switch based on photonic crystal resonator
R. Rajasekar, K. Vinay Kumar, N. Ayyanar, G. Thavasi Raja
Proceedings of the IEEE Conference on Nanotechnology, 2020
Hybrid plasmonic label-free multi-analyte refractive index sensor
K. R. Kishore, Singh Utkarsh, N. Ayyanar, G. Thavasi Raja, M. S. Sanathanan
Optoelectronics Letters, 2019
Photonic crystal fibre-based surface plasmon filter realization
C. Gunasekaran, N. Ayyanar, G. Thavasi Raja, R. Mohan
Proceedings of the 2019 Teqip III Sponsored International Conference on Microwave Integrated Circuits Photonics and Wireless Networks Imicpw 2019, 2019
Asymmetric-clad multi-trench fibers with large mode-area and controlled leakage loss
B.M. Kurade, N. Ayyanar, G. Thavasi Raja, Shailendra K. Varshney
Optical Fiber Technology, 2019
Tricore photonic crystal fibre based refractive index sensor for glucose detection
Ayyanar Natesan, Kuppusamy Peramandai Govindasamy, Thavasi Raja Gopal, Vigneswaran Dhasarathan, Arafa Hussein Aly
Iet Optoelectronics, 2019
Surface-plasmon-based photonic crystal fibers for high-bandwidth filter realization
C. Gunasekaran, B. Suneel Kumar, N. Ayyanar, G. Thavasi Raja, R. Mohan
Journal of the Optical Society of America B Optical Physics, 2019
Design of Glucose Sensor Using Tri-Core Modified Photonic Crystal Fiber
N. Ayyanar, G. Thavasi Raja
Proceedings of IEEE Sensors, 2018
Enhanced sensitivity of hemoglobin sensor using dual-core photonic crystal fiber
N. Ayyanar, Ahmed E. Khalil, Mohamed Farhat O. Hameed, G. Thavasi Raja, Salah S. A. Obayya
Optical and Quantum Electronics, 2018
Detection of moisture content in transformer oil using platinum coated on D-shaped optical fiber
S.F.A.Z. Yusoff, M.H. Mezher, I.S. Amiri, N. Ayyanar, D. Vigneswaran, H. Ahmad, R. Zakaria
Optical Fiber Technology, 2018
Photonic Crystal Fiber-Based Refractive Index Sensor for Early Detection of Cancer
N. Ayyanar, G. Thavasi Raja, Mohit Sharma, D. Sriram Kumar
IEEE Sensors Journal, 2018
Tunable Hybrid Plasmonic Split-Ring Resonator Refractive Index Sensor for High FOM Applications
K.R. Kishore, G. Thavasi Raja, N. Ayyanar, B. Suneel Kumar, M.S. Sanathanan
2018 Conference on Lasers and Electro Optics Pacific Rim CLEO PR 2018, 2018
Tunable hybrid plasmonic split-ring resonator refractive index sensor for high FOM applications
Optics Infobase Conference Papers, 2018
Salinity sensor using photonic crystal fiber
D. Vigneswaran, N. Ayyanar, Mohit Sharma, M. Sumathi, Mani Rajan M.S., K. Porsezian
Sensors and Actuators A Physical, 2018
Tunable differential modal gain in FM-EDFA system using dual pumping scheme at 100 Gbps system capacity
D. Vigneswaran, N. Ayyanar, M. Sumathi, M. S. Mani Rajan
Photonic Network Communications, 2017
Design of temperature sensor using liquid filled photonic crystal fiber
S. K. Methaprian, N. Ayyanar, P. Mahalakshmi, M. Sumathi, D. Vigneswaran, M. S. Mani Rajan
2016 IEEE Conference on Recent Advances in Lightwave Technology Cralt 2016, 2017
D-glucose sensor using photonic crystal fiber
Harikesavan Thenmozhi, MuruganSenthil Mani Rajan, Veluchamy Devika, Dhasarathan Vigneswaran, Natesan Ayyanar
Optik, 2017
Manipulating high birefringence in elliptical core meta fiber by varying metal/dielectric concentration of the framed AMM
P. Mahalakshmi, S. Venkatesh, M. Sumathi, R. Yamunadevi, N. Ayyanar, M. S. Mani Rajan
Optical and Quantum Electronics, 2017
Highly efficient compact temperature sensor using liquid infiltrated asymmetric dual elliptical core photonic crystal fiber
N. Ayyanar, R. Vasantha Jayakantha Raja, D. Vigneswaran, B. Lakshmi, M. Sumathi, K. Porsezian
Optical Materials, 2017
Hydrostatic Pressure Sensor Using High Birefringence Photonic Crystal Fibers
N. Ayyanar, D. Vigneswaran, Mohit Sharma, M. Sumathi, M. S. Mani Rajan, S. Konar
IEEE Sensors Journal, 2017
Design of elliptical ring core fiber with support of four lp modes in SDM applications
N. Ayyanar, M. Sumathi, D. Vigneswaran, M.S. Mani Rajan
Optics Infobase Conference Papers, 2017
Design of circular-helical and elliptical-helical PCF with inducing of circular polarization
vigneswaran dhasarathan
Optics Infobase Conference Papers, 2016

Ayyanar N

RESEARCH INTERESTS

FUTURE PROJECTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS

Ayyanar N

RESEARCH INTERESTS

FUTURE PROJECTS

Fiber laser

Bending sensor

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS