Jayasri Kotti

@gmrit.edu.in

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



              

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

6

Scopus Publications

751

Scholar Citations

13

Scholar h-index

18

Scholar i10-index

Scopus Publications


  • Secure Big Data Processing in Multihoming Networks with AI-Enabled IoT
    Sivakumar Venu, Jayasri Kotti, A. Pankajam, Dharmesh Dhabliya, G. Nageswara Rao, Rohit Bansal, Ankur Gupta, and F. Sammy
    Hindawi Limited
    The constant investigation, as well as dispensation of data among various processing, has been influenced by computerized strategies enabled by artificial neural network associated with Internet of Things, as well as cloud-dependent organizations. Multihoming is also a category of an organization that brings together several categories of organizations in its atmosphere during the dealing with various information. These days, the massive amounts of information being handled also observed in multihoming systems are given less thought, reducing the security risk and effectiveness of data processing and observation. The application of ANN-associated frameworks among multihoming massive information using IoT as well as AI-associated frameworks could be beneficial in a variety of ways. The constant investigation and dispensation of information among various processing are influenced by computerized strategies enabled by ANN associated with IoT, as well as cloud-associated organizations. Multihoming is also a kind of organization that brings together several kinds of organizations into a unique situation while dealing with a large volume of information. When multihoming enormous amounts of data with IoT and AI-integrated systems, there are various advantages to employing AI-based solutions. Despite the fact that multihoming security difficulties and their evaluation have been carefully explored by various scientists and researchers, big data security analysis in multihoming, particularly when using automated methodologies and systems, receives little attention. These days, the massive amounts of information being handled and observed in multihoming systems are given less thought, reducing the security risk and effectiveness of data processing and observation. The application of AI-based frameworks in multihoming massive information with IoT associated with AI frameworks could be beneficial in a variety of ways. Even though multihoming security challenges and their analysis have been widely focused on by many researchers and specialists, little attention has been paid to them.

  • Machine Learning-Based Secured Intelligent DMA Controller for Video Restoration
    Jayasri Kotti, D. Nageswara Rao, T. V. Ramana, Huma Khan, Abdul Shareef Pallivalappil, Harish Kumar, and Henry Kwame Atiglah
    Hindawi Limited
    Maximum power point tracking (MPPT) is an optimization algorithm for adjusting maximum power for DC/DC converters. SEPIC (single-ended primary-inductor converter) can allow the voltage to match the impedance between input and output. The perturbation and observation (P&O) method is a state-of-art tracking technique to maintain the voltage in photovoltaic (PV) systems. For this purpose, the adaptation of the P&O technique in economical digital devices can make sure of its efficiency and robustness. This paper was aimed at developing and designing an effective photovoltaic system based on the modified P&O algorithm with improved accuracy and power efficiency, thereby increasing the stability of a solar system. The performance of the proposed solar regulator system with two MPPT algorithms is verified using MATLAB simulator along with advanced modified P&O, and a hybrid excellence controller algorithm is also developed. The proposed system uses IoT-based sensors to transmit vital data to the cloud for remote monitoring and control purposes. The IoT platform helps the system to be viewed remotely.

  • Preface


  • Advanced Safety Analysis and Modeling of Control Software in Implantable Medical Devices
    Umamaheswararao Batta, Jayasri Kotti, and Seetharamaiah Panchumarthy
    Springer Singapore

  • A GQM based approach towards the development of metrics for software safety
    Kotti Jayasri and Panchumarthy Seetharamaiah
    Science Publications
    Software sometimes safety-critical if it resides in a safety-critical computer systems and it causes or contributes to hazards. Therefore, Safety-critical software intensive systems require verification and validation to confirm that they function as per the safety requirements. Software Safety is a combination of many factors. Metrics are commonly used in engineering as measures for the performance of a system on a given attribute. This paper presents a methodology for software safety framework based on Goal-Question-Metric (GQM) Approach. The proposed methodology was applied to a safety-critical Railroad Crossing Control System (RCCS) which is a laboratory prototype. The outcomes of the prototype are satisfactory and observed that safety risks are within the acceptable threshold level.

RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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

  • 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

  • 1 Integration of Nature-Inspired Mechanisms to Machine Learning in Real Time Sensors, Controllers, and Actuators for Industrial Automation
    JK Pandey, J Kotti, Parimita, D Dhabliya, V Sharma, S Choudhary, ...
    Robotics and Automation in Industry 4.0: Smart Industries and Intelligent 2024

  • 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

  • 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

  • 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

  • IoT Framework in a Blockchain dependent Cloud Environment
    AG Vivek Veeraiah, Veera Talukdar, Suryansh Bhaskar Talukdar, Jayasri Kotti ...
    14th ICCCNT IEEE Conference 2023

  • IoT Framework in a Blockchain dependent Cloud Environment
    V Talukdar, SB Talukdar, B VIT, J Kotti, V Rajam, MK Dharani, A Gupta
     2023

  • 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

  • Aes based blood bank system using cloud techniques
    J Kotti, RR Chundru, J Sudhakar, B Sreenidhi
    Journal of Pharmaceutical Negative Results 14 2023

  • A review of spam email detection: analysis of spammer strategies and the dataset shift problem
    F Jez-Martino, R Alaiz-Rodrguez, V Gonzlez-Castro, E Fidalgo, ...
    Artificial Intelligence Review 56 (2), 1145-1173 2023

  • 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

  • IoT Framework in a Blockchain dependent Cloud Environment
    V Veeraiah, V Talukdar, SB Talukdar, J Kotti, MK Dharani, A Gupta
    2023 14th International Conference on Computing Communication and Networking 2023

  • Strategic Survival Analysis of Gastric Cancer Patients for Augmented Reality: A Comparison of the Cox Proportional Hazard and Accelerated Failure Time
    Pandey, D., Lelisho, M. E., Jayasri Kotti, et al.
    Applications of Neuromarketing in the Metaverse, 234-257 2023

  • Morphed Image Detection Using ELA and CNN Techniques
    DJ Kotti, DE Gouthami, DK Swapna, S Vesalapu
    Journal of Pharmaceutical Negative Results 13 2022

  • Analysis of Adaptive, Entropy and Wavelet based Coding Techniques-A Survey
    N Subramanyan, K Arunesh
    2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile 2022

  • A comprehensive review of cybersecurity perspective for Wireless Sensor Networks
    L Gashi, A Luma, A Aliu
    2022 international symposium on multidisciplinary studies and innovative 2022

  • 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

  • Analysis and Prediction of Crime Rate against Women Using Classification and Regression Trees
    P Tamilarasi, RU Rani
    Data Science, 185-193 2022

MOST CITED SCHOLAR PUBLICATIONS

  • 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
    Citations: 126

  • A review of spam email detection: analysis of spammer strategies and the dataset shift problem
    F Jez-Martino, R Alaiz-Rodrguez, V Gonzlez-Castro, E Fidalgo, ...
    Artificial Intelligence Review 56 (2), 1145-1173 2023
    Citations: 114

  • 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
    Citations: 35

  • 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
    Citations: 27

  • 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
    Citations: 23

  • 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
    Citations: 22

  • 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 2021
    Citations: 22

  • [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
    Citations: 21

  • 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 2021
    Citations: 20

  • 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 2021
    Citations: 20

  • 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 2021
    Citations: 18

  • 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
    Citations: 17

  • Cloud computing—security, issues, and solutions
    R Sharma, MK Gourisaria, SS Patra
    Communication Software and Networks: Proceedings of INDIA 2019, 687-700 2020
    Citations: 15

  • 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 2021
    Citations: 13

  • 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 2021
    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 2021
    Citations: 11

  • Wavelet Packet Transform-Based Image Classification for Computer-Aided Glaucoma Diagnosis Using Nave Bayes Classifier
    A Rebinth, SM Kumar
    Communication Software and Networks: Proceedings of INDIA 2019, 597-605 2021
    Citations: 11

  • 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 2021
    Citations: 10

  • Detection and prediction of land use and land cover changes using deep learning
    EF Sherley, A Kumar, Revathy, Divyashree
    Communication Software and Networks: Proceedings of INDIA 2019, 359-367 2021
    Citations: 8

  • Study of algorithms and methods on emotion detection from facial expressions: a review from past research
    SS Gantayat, S Lenka
    Communication Software and Networks: Proceedings of INDIA 2019, 231-244 2021
    Citations: 8