SHREESHAYANA R

@atme.in

ASSISTANT PROFESSOR
ATME COLLEGE OF ENGINEERING MYSURU

SHREESHAYANA R


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https://researchid.co/shreeshayana

EDUCATION

Engineering): Persuing; MTech: Biomedical Signal Processing and Instrumentation; B.E: Electrical & Electronics Engineering

RESEARCH INTERESTS

Biomedical Prosthetics, AI-ML, IoT, Microcontrollers, EV
13

Scopus Publications

111

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • NetPhish-Mix: A Multi-Modal Phishing Detection Method Utilizing URL Graphs and Page Screenshot Vision Transformer
    Awwab Mohammad, N. Praveen, Pandiarajan S, R. Shreeshayana, Samudrala Jagadeesh, et al.
    Engineering Technology and Applied Science Research, 2026
    In order to avoid detection, modern phishing assaults use techniques such as dynamic HTML obfuscation and site mimicry. This study presents NetPhish-Mix, a powerful framework for detecting phishing attempts by combining the analysis of website structure, content, and design. The framework's HGT records the structural relationships between the various components, including domain, URL, and DOM nodes. In addition, the framework can retrieve visual semantics from page screenshots while considering the page layout thanks to a ViT. After temperature calibration, a gated late-fusion procedure modifies the contributions of both modalities as needed to generate trustworthy confidence estimations. The results show significant generalization when tested on distinct and previously withheld datasets, achieving an F1-score of 0.977, an ROC-AUC of 0.997, and a less than 1% false positive rate. The proposed NetPhish-Mix model consistently makes the correct decision in tests that include URL homoglyphs, additional characters in subdomains, and poor images, making it a reliable, easy-to-understand, and practical security automation solution that can identify and stop phishing attempts.
  • Towards Accurate Glioma Segmentation: A Modified HTTU-Net with Multi-Scale Feature Encoding
    Anshad A S, Harpreet Singh Saghra, Manu Kumari, D Deepa, Shreeshayana R, et al.
    2025 5th Asian Conference on Innovation in Technology Asiancon 2025, 2025
  • Optimizing Brain Tumour Classification in MRI Images using EfficientNetB0 and Transfer Learning
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Analysis on density of states and ION/IOFF ratio of GaN/GaNgraphene nanoribbon tunnel FET for enhanced bio-sensing applications
    Senthil Kumaran V N, Venkatesh M, Shreeshayana R, Manjunath V Gudur, Parthasarathy P
    Physica Scripta, 2024
    This research introduces a new analytical model that studies the effect of ferro-dielectric on the operational performance of TFETs doped with halogens. The effect of source and drain depletions, voltage-drain & gate, thickness and capacitance of gate insulator are all investigated in this study. Accurate measurements of the surface potential are required to ascertain the transconductance, gate-to-drain capacitance, and lateral electric field of the device. Our model, which employs Ferroelectric Halo-Doped double gate (FHDD)-gated device designs, has been demonstrated to produce results that nearly match those produced from TCAD simulations. This was accomplished by doing a comparative analysis of the outcomes derived from both sets of simulations. Furthermore, the performance of the suggested structure of TFET, which integrates a dielectric of Fe and GaN heterostructure, surpasses that of other similar devices (fT) in terms of ON current, ON/OFF ratio, transconductance, and cut-off frequency. A ferroelectric dielectric was used to create a ferroelectric heterostructure. This study also centers on the creation and application of a graphene nanoribbon field effect transistor (GNR-TFET) to detect sugar molecules, specifically fructose, xylose, and glucose. The detecting signal is generated by utilizing the fluctuation in the electrical current of the GNR-TFET caused by the presence of individual sugar molecules. The GNR-TFET exhibits noticeable variations in the density of states, transmission spectrum, and current when exposed to individual sugar molecules. The sensor under investigation is being developed and examined using a combination of semi-empirical modeling and non-equilibrium Green’s functional theory (SE + NEGF). According to the research, the modified GNR TFET has the ability to quickly and accurately detect individual sugar molecules in real-time.
  • Ergonomic Tremor Control Spoon for Parkinson Disorder
    R. Shreeshayana, Manjunath V Gudur, G. Ezhilarasan
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    Parkinson’s disease is a neurological disorder, it occasionally begins with a barely perceptible tremor in just one hand and progresses gradually. It usually strikes the elderly and is caused by significant damage to nerve cells that impairs mobility and day-to-day activities. Initial symptoms may include involuntary tremors and shivering in the hands, making it difficult for the patient to do daily activities like eating from a bowl. With the help of the provided utensil, this work essentially provides a non-invasive method that enables the patient to consume the food. A working prototype for a stabilizing spoon was created with the goal of serving as a supplement for individuals who require aid when eating. The suggested system is constructed using sensor, Controller and actuator as a significant element. This was made feasible by the employment of a sensor that integrated accelerometers and gyroscopes to determine the direction and rate of tilt of the device’s handle. Two servo motors are set up orthogonal to one another to give two axes of freedom in order to develop a system The spoon was intended to maintain its utensil basin horizontal using this method. The work revealed that the spoon’s vertical and horizontal accelerations vary significantly depending on the type of food, with dry food showing a mean vertical acceleration of $15.1 \\mathrm{~m} / \\mathrm{s}^{2}$ and horizontal acceleration of $12.89 \\mathrm{~m} / \\mathrm{s}^{2}$, whereas wet food demonstrates higher variability in vertical acceleration (mean of $15.5 \\mathrm{~m} / \\mathrm{s}^{2}$) and lower mean horizontal acceleration $\\left(8.95 \\mathrm{~m} / \\mathrm{s}^{2}\\right.$). This indicates the spoon’s movement is more consistent with dry food and more erratic with wet food. The spoon is designed with precise dimensions $(27 \\mathrm{~cm}$ in length, 9 cm in width, and 1 mm in thickness) and a total weight of 130 gm, which are optimized for comfortable and effective use by Parkinson’s patients. The measurements ensure the spoon’s stability and usability.
  • Advanced Malware Detection Methods for Polymorphic Virus Identification
    Anil D, Shreeshayana R, Kiran B, Preethi
    Proceedings IEEE 5th International Conference on Communication Computing and Industry 6 0 2024 C2i6 2024, 2024
    Polymorphic viruses pose a significant challenge to traditional malware detection methods due to their ability to modify their code structure with each infection, effectively evading signature-based detection. This paper explores advanced malware detection methods tailored for identifying polymorphic viruses, focusing on the integration of machine learning, deep learning and hybrid approaches. Through a comprehensive analysis of static and dynamic features extracted from executables and URLs, this study employs classifiers such as Random Forests and Support Vector Machines (SVMs) to enhance detection accuracy. The SVM classifier demonstrated superior performance, achieving a detection accuracy of 96.23% compared to the 93.67% accuracy of the Random Forest classifier. This research highlights the potential of combining static and dynamic analysis with machine learning techniques to address the limitations of traditional methods, offering a robust framework for detecting and mitigating polymorphic and zero-day threats.
  • Controlling a Two-Wheeled Self-balancing Robot (TWSBR) with Gyroscope
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • Enhanced Classification of Epileptogenic and Nonepileptogenic EEG Signals using ANN-FDM
    Manjunath V Gudur, P Parthasarathy, R Shreeshayana, Pradeep Kumar Mallaiah
    12th IEEE International Conference on Advanced Computing Icoac 2023, 2023
    EEG signals, which show the electrical activity of the brain, are considered to be the most significant physiological signals in the diagnosis of epilepsy. Manual EEG signal interpretation, however, is labour-intensive, time-consuming, and prone to error. Automatic identification of epileptic focus using computer technology and signal processing has been developed as an adjunct diagnostic tool to improve the accuracy of epilepsy diagnosis and the success rate of epilepsy surgery. As a result, it is crucial to create a system that can swiftly tell apart ordinary EEG data from generalised and focal epileptic seizures. This study introduces a new technique for identifying the brain areas affected by focal and non-focal epilepsy, in order to help patients suffering from epilepsy resulting from abnormal brain electrical activity. The method employs a deep neural network and involves recording EEG signals from the brain, followed by decomposing them into sub-bands using the Fourier Decomposition Method. Next, features are calculated from each sub-band and a very effective features are analyzed further. The final classification of the EEG signals into focal and non-focal epilepsy is then performed. The system achieved the highest classification accuracy of $ 93.0\\%$ with the lowest training and validation loss of $ 4.3\\%$ and $ 13.3\\%$, respectively, when using 10 sub-bands. The lowest accuracy was $\\mathbf{9 0 . 0 \\%}$ with training and validation loss of $ 2.9\\%$ and $ 26.7\\%$, respectively, when using 20 sub-bands. Using the minimum of 5 sub-bands resulted in a classification accuracy of $ 92.0\\%$. The results obtained imply that the suggested approach may, in actual applications, prove to be a helpful tool for physicians in determining the cause of epilepsy.
  • Edge Intelligence for Traffic Flow Detection: A Deep Learning Approach
    R Ranjitha, Pooja Ahuja, R Shreeshayana, D Anil
    Iq Cchess 2023 2023 IEEE International Conference on Quantum Technologies Communications Computing Hardware and Embedded Systems Security, 2023
    Intelligent Transportation Systems (ITS) are crucial for regulating public transportation, enhancing security, and addressing urban challenges. ITS offers smart guidance to mitigate traffic congestion, minimize environmental impact, and improve overall transport efficiency. In cloud-based ITS, traffic flow detection involves sending video data from edge devices to cloud data centers. However, this approach faces hurdles due to increased monitoring demands. To overcome this, a solution is proposed: employing deep learning on edge nodes. The approach includes a YOLOv4-based vehicle detection model, retrained for multi-object tracking using DeepSORT. Edge computing migrates and installs the detection and tracking systems, ensuring accurate performance at the edge. This approach optimizes traffic flow detection, addressing challenges faced by conventional cloud-based systems.
  • Portable Baby Incubator for Monitoring Sleep Apnea
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • Ergonomic Automated Dry and Wet Waste Segregation and Compost Production for Innovative Waste Management
    R Shreeshayana, Manjunath V Gudur, L Niranjan, B Sreekantha
    2022 IEEE 3rd Global Conference for Advancement in Technology Gcat 2022, 2022
  • IoT Based Innovative Smart Monitoring of Aquaponics System Using Atmega 328P and ESP 8266
    Niranjan L, Manjunath V Gudur, Shreeshayana R, Sreekantha B
    2022 IEEE 3rd Global Conference for Advancement in Technology Gcat 2022, 2022
  • VLSI implementation of Digital Watermarking Technique for security and authentication of Digital Data
    M Pradeep Kumar, Manjunath V Gudur, R Shreeshayana, D S Sriramu
    2021 International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2021, 2021

RECENT SCHOLAR PUBLICATIONS

  • NetPhish-Mix: A Multi-Modal Phishing Detection Method Utilizing URL Graphs and Page Screenshot Vision Transformer
    A Mohammad, N Praveen, R Shreeshayana, S Jagadeesh, A Raj, B Patil, ...
    Engineering, Technology & Applied Science Research 16 (1), 31209-31214 , 2026
    2026
    Citations: 1
  • Towards Accurate Glioma Segmentation: A Modified HTTU-Net with Multi-Scale Feature Encoding
    AS Anshad, HS Saghra, M Kumari, D Deepa, R Shreeshayana, A Kubba
    2025 5th Asian Conference on Innovation in Technology (ASIANCON), 1-7 , 2025
    2025
  • Optimizing Brain Tumour Classification in MRI Images using EfficientNetB0 and Transfer Learning.
    MU Rani, M Kaur, KP Chandar
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • Advanced Malware Detection Methods for Polymorphic Virus Identification
    D Anil, R Shreeshayana, B Kiran
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 2
  • Analysis on density of states and I ON /I OFF ratio of GaN/GaN-graphene nanoribbon tunnel FET for enhanced bio-sensing applications
    SK VN, V M, S R, MV Gudur, P P
    Physica Scripta 99 (12), 125930 , 2024
    2024
    Citations: 5
  • Ergonomic tremor control spoon for Parkinson disorder
    R Shreeshayana, MV Gudur, G Ezhilarasan
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 1
  • Utilizing Deep Learning for the Early Detection of Pneumonia in Chest XRay Images.
    M Neeladri, J Anitha, R Senkamalavalli, P GP
    Frontiers in Health Informatics 13 (3) , 2024
    2024
    Citations: 1
  • Smart Traffic Control and Management System using Machine Learning Techniques
    R Shreeshayana, L Lakshmaiah, PO Kavya, D Anil
    Tuijin Jishu/Journal of Propulsion Technology 44 (5), 1889-1896 , 2023
    2023
  • Edge intelligence for traffic flow detection: A deep learning approach
    R Ranjitha, P Ahuja, R Shreeshayana, D Anil
    2023 International Conference on Quantum Technologies, Communications … , 2023
    2023
    Citations: 12
  • DESIGN AND DEVELOPMENT OF AN AUTOMATED FERTILIZER AND SEED VENDING MACHINE FOR AGRICULTURAL APPLICATIONS
    R Shreeshayana
    Journal of Data Acquisition and Processing 38 (4), 287-298 , 2023
    2023
  • Enhanced Classification of Epileptogenic and Nonepileptogenic EEG Signals using ANN-FDM
    Manjunath V Gudur, Parthasarathy P, Shreeshayana R, Pradeep Kumar Mallaiah
    2023 12th International Conference on Advanced Computing (ICoAC), 1-6 , 2023
    2023
    Citations: 1
  • Ergonomic automated dry and wet waste segregation and compost production for innovative waste management
    Shreeshayana R, Manjunath V Gudur, Niranjan L,Sreekantha B
    2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1-6 , 2022
    2022
    Citations: 29
  • IOT based innovative smart monitoring of aquaponics system using Atmega 328P and ESP 8266
    Niranjan L, Manjunath V Gudur, Shreeshayana R,Sreekantha B
    2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1-6 , 2022
    2022
    Citations: 36
  • VLSI implementation of Digital Watermarking Technique for security and authentication of Digital Data
    MP Kumar, MV Gudur, R Shreeshayana, DS Sriramu
    2021 International Conference on Smart Generation Computing, Communication … , 2021
    2021
    Citations: 5
  • Sanitary Napkin Vending Machine with Incinerator for Menstrual Hygiene
    Shreeshayana R, Simrah Fathima
    International Research Journal of Engineering and Technology (IRJET), 8 … , 2021
    2021
  • Design of Motorised Wheelchair for Paraplegic
    Shreeshayana R, Sangeetha B
    International Research Journal of Engineering and Technology (IRJET) 8 … , 2021
    2021
  • SEMI-AUTOMATED MOTORISED CULTIVATOR FOR AGRICULTURE
    SHREESHAYANA R, MANJUNATH V GUDUR
    International Journal of Creative Research Thoughts (IJCRT) 8 (Issue 7 … , 2020
    2020
  • Auto Segmentation of Retinal Blood Vessel Image using 2-D Gaussian Filter and Its First and Second Order Derivative
    MNH Manjunath V Gudur, Shreeshayana R, Dr. Naveen K B
    Test Engineering and Management 83 (1), 12495 - 12505 , 2020
    2020
  • Modeling of Compact Fluorescent Lamp And Mitigation of Harmonic Distortion With Passive Filter
    Raghavendra L,Shreeshayana R
    INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS 6 (1), 244-249 , 2018
    2018
  • Design and Simulation Analysis of Power Factor Correction Using Boost Converter with IC UC3854
    SanthoshKumar R, Shreeshayana R
    International Journal of Innovative Research in Science, Engineering and … , 2017
    2017
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • IOT based innovative smart monitoring of aquaponics system using Atmega 328P and ESP 8266
    Niranjan L, Manjunath V Gudur, Shreeshayana R,Sreekantha B
    2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1-6 , 2022
    2022
    Citations: 36
  • Ergonomic automated dry and wet waste segregation and compost production for innovative waste management
    Shreeshayana R, Manjunath V Gudur, Niranjan L,Sreekantha B
    2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1-6 , 2022
    2022
    Citations: 29
  • Edge intelligence for traffic flow detection: A deep learning approach
    R Ranjitha, P Ahuja, R Shreeshayana, D Anil
    2023 International Conference on Quantum Technologies, Communications … , 2023
    2023
    Citations: 12
  • Piezoelectric energy harvesting using PZT in floor tile design
    R Shreeshayana, L Raghavendra, VG Manjunath
    Int. J. Adv. Res. Electr. Electron. Instrum. Eng 6 (12), 8872-8879 , 2017
    2017
    Citations: 10
  • Design and Simulation Analysis of Power Factor Correction Using Boost Converter with IC UC3854
    SanthoshKumar R, Shreeshayana R
    International Journal of Innovative Research in Science, Engineering and … , 2017
    2017
    Citations: 6
  • Analysis on density of states and I ON /I OFF ratio of GaN/GaN-graphene nanoribbon tunnel FET for enhanced bio-sensing applications
    SK VN, V M, S R, MV Gudur, P P
    Physica Scripta 99 (12), 125930 , 2024
    2024
    Citations: 5
  • VLSI implementation of Digital Watermarking Technique for security and authentication of Digital Data
    MP Kumar, MV Gudur, R Shreeshayana, DS Sriramu
    2021 International Conference on Smart Generation Computing, Communication … , 2021
    2021
    Citations: 5
  • Advanced Malware Detection Methods for Polymorphic Virus Identification
    D Anil, R Shreeshayana, B Kiran
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 2
  • Glioma Multiforme brain tumor segmentation using soft computing techniques with integrated radiology study maker
    R Shreeshayana, V Udayashankara
    International Conference on Electronics and Communication Engineering. Bengaluru , 2013
    2013
    Citations: 2
  • NetPhish-Mix: A Multi-Modal Phishing Detection Method Utilizing URL Graphs and Page Screenshot Vision Transformer
    A Mohammad, N Praveen, R Shreeshayana, S Jagadeesh, A Raj, B Patil, ...
    Engineering, Technology & Applied Science Research 16 (1), 31209-31214 , 2026
    2026
    Citations: 1
  • Ergonomic tremor control spoon for Parkinson disorder
    R Shreeshayana, MV Gudur, G Ezhilarasan
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 1
  • Utilizing Deep Learning for the Early Detection of Pneumonia in Chest XRay Images.
    M Neeladri, J Anitha, R Senkamalavalli, P GP
    Frontiers in Health Informatics 13 (3) , 2024
    2024
    Citations: 1
  • Enhanced Classification of Epileptogenic and Nonepileptogenic EEG Signals using ANN-FDM
    Manjunath V Gudur, Parthasarathy P, Shreeshayana R, Pradeep Kumar Mallaiah
    2023 12th International Conference on Advanced Computing (ICoAC), 1-6 , 2023
    2023
    Citations: 1
  • Towards Accurate Glioma Segmentation: A Modified HTTU-Net with Multi-Scale Feature Encoding
    AS Anshad, HS Saghra, M Kumari, D Deepa, R Shreeshayana, A Kubba
    2025 5th Asian Conference on Innovation in Technology (ASIANCON), 1-7 , 2025
    2025
  • Optimizing Brain Tumour Classification in MRI Images using EfficientNetB0 and Transfer Learning.
    MU Rani, M Kaur, KP Chandar
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • Smart Traffic Control and Management System using Machine Learning Techniques
    R Shreeshayana, L Lakshmaiah, PO Kavya, D Anil
    Tuijin Jishu/Journal of Propulsion Technology 44 (5), 1889-1896 , 2023
    2023
  • DESIGN AND DEVELOPMENT OF AN AUTOMATED FERTILIZER AND SEED VENDING MACHINE FOR AGRICULTURAL APPLICATIONS
    R Shreeshayana
    Journal of Data Acquisition and Processing 38 (4), 287-298 , 2023
    2023
  • Sanitary Napkin Vending Machine with Incinerator for Menstrual Hygiene
    Shreeshayana R, Simrah Fathima
    International Research Journal of Engineering and Technology (IRJET), 8 … , 2021
    2021
  • Design of Motorised Wheelchair for Paraplegic
    Shreeshayana R, Sangeetha B
    International Research Journal of Engineering and Technology (IRJET) 8 … , 2021
    2021
  • SEMI-AUTOMATED MOTORISED CULTIVATOR FOR AGRICULTURE
    SHREESHAYANA R, MANJUNATH V GUDUR
    International Journal of Creative Research Thoughts (IJCRT) 8 (Issue 7 … , 2020
    2020

Publications

1) Manjunath V Gudur, Parthasarathy, P., Shreeshayana, R. Mallaiah, P.K., "Enhanced Classification of Epileptogenic and Nonepileptogenic EEG Signals using ANN-FDM", 12th IEEE International Conference on Advanced Computing, ICoAC 2023, 2023. .
2)Shreeshayana R1, Manjunath V Gudur2, Niranjan L3, Sreekantha B4, Ergonomic Automated Dry and Wet Waste Segregation and Compost Production for Innovative Waste Management”, IEEE 3rd Global Conference for Advancement in Technology(GCAT)-2022. 3)Niranjan L1, Manjunath V Gudur2, Shreeshayana R3, Sreekantha4, “IoT Based Innovative Smart Monitoring of Aquaponics System Using Atmega 328P and ESP 8266”, IEEE 3rd Global Conference for Advancement in Technology(GCAT)-2022. .
4) Shreeshayana R1, Raghavendra L2, Manjunatha K B3, Hemanth B S3, “Portable Baby Incubator for Monitoring Sleep Apnea”, 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023, 2023-June, pp. 1196–1204.
5) Vinod Kumar P1, Dr. Kamala N 2, Shreeshayana R2, “Controlling a Two-Wheeled Self-Balancing Robot(TWSBR) with Gyroscope”, 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023, 2023-June, pp. 1212–1216.

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Risk Combating Personal Protection Equipment, Shreeshayana R, L, Simrah Fathima, Baig,Syed Rawoof Rehman. Patent Filed Date Patent Published Date Patent Granted Date

15.02.2022 25.02.2022 In progress