Jayasri Kotti

@gmrit.edu.in

Professor & Computer Science and Engineering
Vignan's Institute of Engineering for Women, Visakhapatnam

Jayasri Kotti


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https://researchid.co/jayasrikotti
Dr. Jayasri Kotti received her
doctorate from Andhra University, Visakhapatnam, M.Tech (IT) from
Andhra University, Visakhapatnam, INDIA. She received Gold Medal for
Best Thesis from Andhra University. She is currently working as
Professor in the Department of Computer Science and
Engineering, Vignan’s Institute of Engineering for Women,
Visakhapatnam, Andhra Pradesh, INDIA.
She has 15 years of teaching experience. She has many
publications in reputed journals and guided UG, PG, and Ph.D. thesis.
She also published 2 patents. She got the best faculty award at the college
level. Her research areas are Software Engineering, Machine Learning, and IoT

EDUCATION

Dr. Jayasri Kotti received her
doctorate from Andhra University, Visakhapatnam, M.Tech (IT) from
Andhra University, Visakhapatnam, INDIA.

RESEARCH INTERESTS

Software Engineering
Machine Learning
Computer Networks and IoT
1096

Scholar Citations

16

Scholar h-index

22

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • A Hybrid Transfer Learning Framework with Attention U-Net and V-Net for Brain Tumor Segmentation and Classification
    G Geddam, J Kotti, BM Ch
    2026 International Conference on Emerging Smart Computing and Informatics … , 2026
    2026
  • XSp-Net: Xception Spinal Network for Left Ventricular failure classification using cardiac MRI image
    J Kotti, S Nagarajan, V Siruvoru, SK Krishnamoorthy, V Ramaswamy, ...
    Journal of Mechanics in Medicine and Biology 26 (01), 2550037 , 2026
    2026
  • A hybrid M-DbneAlexnet for brain tumour detection using MRI images
    J Kotti, V Chalasani, C Rajan
    Archives of Physiology and Biochemistry 131 (6), 1061-1081 , 2025
    2025
    Citations: 1
  • Pyramid SpinalNet-based nerve structure segmentation and classification using ultrasound nerve image
    V Ramaswamy, S Ponnada, J Kotti, S Nagarajan, N Vijaykumar, ...
    Knowledge-Based Systems, 114705 , 2025
    2025
  • Red Blood Cell Deformability Using PyramidNet with Gannet Puffer Fish Optimization Using Microscopy Image
    S Nagarajan, V Siruvoru, SK Krishnamoorthy, V Ramaswamy, S Ponnada, ...
    International Journal of Computational Methods, 2550055 , 2025
    2025
  • Hybrid EfficientQNet for brain tumor detection using MRI images
    J Kotti, MBJ Ananth, R Regunathan
    Computers and Electrical Engineering 127, 110601 , 2025
    2025
    Citations: 2
  • Preface: International Conference on AI Powered Technology Integration for Sustainability (AI-PTIS-2024)
    J Kotti, R Koutavarapu, S Tara
    AIP Conference Proceedings 3298 (1), 010001 , 2025
    2025
  • Forecasting student success with predictive modelling for academic performance
    J Kotti, A Uriti, N Yamsani
    AIP conference proceedings 3298 (1), 020059 , 2025
    2025
    Citations: 2
  • Revolutionizing farming with machine learning approaches for smart agriculture
    J Kotti, GS Rupa, T Soujanya
    AIP Conference Proceedings 3298 (1), 020060 , 2025
    2025
  • Multi-level brain tumor classification using hybrid coot flamingo search optimization Algorithm Enabled deep learning with MRI images
    J Kotti, M Moovendran, M Kandasamy
    Network: Computation in Neural Systems 36 (3), 749-780 , 2025
    2025
    Citations: 2
  • Machine Learning-Based Inconsistency Detection in Medical Data
    JVN Ramesh, J Kotti, P Chandani, R Gupta, A Ansari, TR Mahesh, ...
    Smart Technologies in Healthcare Management, 15-25 , 2024
    2024
  • Enhancing Gesture-Controlled Virtual Mouse and Virtual Keyboard Using AI Techniques
    J Kotti, B Padmaja, D Deepa
    Journal of Mobile Multimedia 20 (2), 473-493 , 2024
    2024
    Citations: 5
  • 4 Emerging Computing Soft and Machine Learning Techniques Applicable in Industrial and
    JK Pandey, V Veeraiah, MR Kumar, PL Kumari, J Kotti, MK Dharani, ...
    Robotics and Automation in Industry 4.0: Smart Industries and Intelligent … , 2024
    2024
  • IoT-driven big data analytic to automate blockchain adaptation
    KR Reddy, S Farhad, J Kotti, V Sonule, E Muniyandy, A Verma
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 3
  • Recurrent Shephard convolutional neural network for heart disease prediction in spark framework
    J Kotti, JMS Banu, R Lakshmanan
    International Journal of Ad Hoc and Ubiquitous Computing 46 (4), 216-230 , 2024
    2024
  • Renewable Energy Sources for a Sustainable Worldwide Prospective: Forecasting Future Multi-Sector Sustainable Regulations
    S Katre, J Kotti, N Joshi, N Pawar, S Pramanik, A Gupta
    Design Strategies for Efficient and Sustainable Building Facilities, 75-100 , 2024
    2024
  • Utilizing Big Data Technology for Online Financial Risk Management
    J Kotti, CN Ganesh, RV Naveenan, SG Gorde, M Basha, S Pramanik, ...
    Artificial Intelligence Approaches to Sustainable Accounting, 135-148 , 2024
    2024
    Citations: 26
  • Emerging Soft Computing and Machine Learning Techniques Applicable in Industrial and Automated Applications
    JK Pandey, J Kotti, et al.
    Robotics and Automation in Industry 4.0 , Smart Industries and Intelligent … , 2024
    2024
    Citations: 5
  • Integration of Nature-Inspired Mechanisms to Machine Learning in Real Time Sensors, Controllers, and Actuators for Industrial Automation
    JK Pandey, J Kotti, et al.
    Robotics and Automation in Industry 4.0 , Smart Industries and Intelligent … , 2024
    2024
    Citations: 11
  • Scope of IoT in Emerging Engineering Technology during Online Education
    G Vivek Veeraiah, Jayasri Kotti, Vipin Jain, Tripti Sharma, Sumit Saini
    14th ICCCNT IEEE Conference , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • A review of spam email detection: analysis of spammer strategies and the dataset shift problem
    F Jáñez-Martino, R Alaiz-Rodríguez, V González-Castro, E Fidalgo, ...
    Artificial Intelligence Review 56 (2), 1145-1173 , 2023
    2023
    Citations: 183
  • Bitcoin price prediction and analysis using deep learning models
    T Awoke, M Rout, L Mohanty, SC Satapathy
    Communication Software and Networks: Proceedings of INDIA 2019, 631-640 , 2020
    2020
    Citations: 144
  • Scope of IoT in Emerging Engineering Technology during Online Education
    V Veeraiah, J Kotti, et al.
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 124
  • Present trends and future prospects of asynchronous machines in renewable energy systems
    C Carunaiselvane, TR Chelliah
    Renewable and Sustainable Energy Reviews 74, 1028-1041 , 2017
    2017
    Citations: 37
  • Time series analysis on univariate and multivariate variables: A comprehensive survey
    SR Beeram, S Kuchibhotla
    Communication Software and Networks: Proceedings of INDIA 2019, 119-126 , 2020
    2020
    Citations: 34
  • Utilizing Big Data Technology for Online Financial Risk Management
    J Kotti, CN Ganesh, RV Naveenan, SG Gorde, M Basha, S Pramanik, ...
    Artificial Intelligence Approaches to Sustainable Accounting, 135-148 , 2024
    2024
    Citations: 26
  • Design Simulation and Parametric Investigation of a Metamaterial Light Absorber with Tungsten Resonator for Solar Cell Applications Using Silicon as Dielectric Layer
    J Kotti
    Silicon , 2023
    2023
    Citations: 25
  • A review on image compression techniques
    K Marlapalli, RSBP Bandlamudi, R Busi, V Pranav, B Madhavrao
    Communication Software and Networks: Proceedings of INDIA 2019, 271-279 , 2020
    2020
    Citations: 25
  • [Retracted] Secure Big Data Processing in Multihoming Networks with AI‐Enabled IoT
    S Venu, J Kotti, A Pankajam, D Dhabliya, GN Rao, R Bansal, A Gupta, ...
    Wireless Communications and Mobile Computing 2022 (1), 3893875 , 2022
    2022
    Citations: 24
  • Estimation of flood in a river basin through neural networks: a case study
    A Sahoo, UK Singh, MH Kumar, S Samantaray
    Communication software and networks: proceedings of INDIA 2019, 755-763 , 2020
    2020
    Citations: 24
  • Estimation of water table depth using wavelet-ANFIS: a case study
    S Sridharam, A Sahoo, S Samantaray, DK Ghose
    Communication Software and Networks: Proceedings of INDIA 2019, 747-754 , 2020
    2020
    Citations: 23
  • Challenges of emotion detection using facial expressions and emotion visualisation in remote communication
    E Ertay, H Huang, Z Sarsenbayeva, T Dingler
    Adjunct Proceedings of the 2021 ACM International Joint Conference on … , 2021
    2021
    Citations: 22
  • Prophecy of runoff in a river basin using various neural networks
    SR Jimmy, A Sahoo, S Samantaray, DK Ghose
    Communication Software and Networks: Proceedings of INDIA 2019, 709-718 , 2020
    2020
    Citations: 21
  • Prediction of sedimentation in a watershed using RNN and SVM
    A Sahoo, A Barik, S Samantaray, DK Ghose
    Communication Software and Networks: Proceedings of INDIA 2019, 701-708 , 2020
    2020
    Citations: 19
  • Runoff is a key constraint toward water table fluctuation using neural networks: a case study
    BN Sarkar, S Samantaray, U Kumar, DK Ghose
    Communication software and networks: proceedings of India 2019, 737-745 , 2020
    2020
    Citations: 18
  • Analysis of brain function effecting form the tumour disease using the image segmentation technique
    AB Dash, S Dash, S Padhy, B Mishra, AN Singh
    2022 Second International Conference on Computer Science, Engineering and … , 2022
    2022
    Citations: 16
  • Assessment of flow discharge in a river basin through CFBPNN, LRNN and CANFIS
    S Sridharam, A Sahoo, S Samantaray, DK Ghose
    Communication Software and Networks: Proceedings of INDIA 2019, 765-773 , 2020
    2020
    Citations: 16
  • Cloud computing—security, issues, and solutions
    R Sharma, MK Gourisaria, SS Patra
    Communication Software and Networks: Proceedings of INDIA 2019, 687-700 , 2020
    2020
    Citations: 15
  • Application of artificial neural networks and multiple linear regression for rainfall–runoff modeling
    W Annayat, A Gupta, KR Prakash, BS Sil
    Communication Software and Networks: Proceedings of INDIA 2019, 719-727 , 2020
    2020
    Citations: 12
  • Runoff prediction using hybrid neural networks in semi-arid watershed, India: a case study
    S Samantaray, A Sahoo, NR Mohanta, P Biswal, UK Das
    Communication Software and Networks: Proceedings of INDIA 2019, 729-736 , 2020
    2020
    Citations: 12