KATTUPALLI SUDHAKAR

@lbrce.ac.in

Senior Assistant Professor
Lakireddy Bali Reddy College of Engineering

KATTUPALLI SUDHAKAR


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https://researchid.co/kattupalli

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Multidisciplinary, Artificial Intelligence, Computer Engineering
18

Scopus Publications

52

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • An Improved Self Learning Management System Using Modern Next JS
    Sudhakar Kothandapani, Poojith Kumar Recharla, Pavan Aditya Pasupula, Sandeep Gunupuru, Saheel Ahammed Syed
    Aip Conference Proceedings, 2025
  • Identification of Identical Twins Using Deep Learning
    Eswar Sai Bokkasam, Blessy Manogna Danavulapadu, Dinesh Lakshmaiah, Jona Rufus Enrathi, Sudhakar Kothandapani
    Aip Conference Proceedings, 2025
  • Enhancing radiographic image interpretation: WARES-PRS model for knee bone tumour detection
    Rahamathunnisa Usuff, Sudhakar Kothandapani, Rajesh Rangan, Saravanan Dhatchnamurthy
    Network Computation in Neural Systems, 2025
    The early diagnosis of tumour is significant in biomedical research field to lower the severity level and restrict the process extension from cancer. Moreover, the detection of early sign of cancer is undertaken with extensive research efforts that dedicated to the disclosure and recognition of tumours. However, the limited data size as well as diverse appearance of images lowered the detection performance and failed to detect complex stage of tumour. So to solve these issues, a Weighted Adaptive Random Ensemble Support Vector-based Partial Reinforcement Search (WARES-PRS) algorithm is proposed that detected bone lesions accurately and also predicted the severity level stage efficiently. Further, the detection is performed with varied stages to diminish the presence of noise and undertaken effective classification. The performance is validated with CNUH dataset that enhanced image pre-processing tasks. Despite the proposed method uncover the mutual relationships between each pixel's local texture and the overall image's global context. The detection and classification efficiency is validated with various measures and the experimental results revealed that the detection accuracy is enhanced for the proposed approach by 98.5%. The outcomes of our study have exhibited a substantial contribution to assisting physicians in the detection of knee bone tumours.
  • Enhancing urban IoT temperature sensing accuracy through machine learning-driven dynamic ventilation
    K. Sudhakar, J. Lurdhumary, S. Bathrinath, Eric Howard, G. Nixon Samuel Vijayakumar, M. Anusuya, C. R. Rene Robin
    Aip Conference Proceedings, 2024
  • Age of Computational AI for Autonomous Vehicles
    Akash Mohanty, U. Rahamathunnisa, K. Sudhakar, R. Sathiyaraj
    Artificial Intelligence for Autonomous Vehicles, 2024
    Autonomous vehicles have made a great impact on research and industrial growth over the past era. The automobile industry is now being revolutionized by self-driving (or driverless) technology owing to enhanced and advanced autonomous vehicles that make use of cutting-edge computational methods from the fields of machine intelligence and artificial intelligence (AI). Autonomous vehicles are now able to assess their surroundings with high accuracy, make sensible choices in real-time environments, and function legitimately without human intervention and technological advancements in the arena of computationally powerful AI algorithms. The development of autonomous vehicles relies heavily on cutting-edge computational technologies. The chapter aims to review the contemporary methods of computational models over time and presents the computational models in the arena of Machine Learning, its subset Deep Learning and Artificial Intelligence. The chapter initially discusses the role of AI, followed by its autonomy levels. The learning algorithms that perform continual learning are addressed along with advances in intelligent vehicles. We disparagingly evaluate the key issues with computational approaches for driverless complex applications. Integration of computational technologies is presented in brief, addressing how technologies can empower autonomous vehicles. Classification of technological advancements with future directions was given and concluded.
  • Machine learning and deep learning for intelligent systems in small aircraft applications
    U. Rahamathunnisa, Akash Mohanty, K. Sudhakar, S. Anitha Jebamani, R. Udendhran, Sureshkumar Myilsamy
    Handbook of Research on AI and ml for Intelligent Machines and Systems, 2023
    This chapter explores the integration of machine learning and deep learning techniques in small aircraft applications. The aviation industry is exploring innovative solutions to improve safety, efficiency, and performance in these operations. The chapter explores the advantages, challenges, and future prospects of implementing intelligent systems in small aircraft, including autopilot systems, navigation assistance, fault detection, and pilot support systems. Real-world case studies and applications demonstrate the transformative impact of these technologies on small aircraft operations. The chapter provides a comprehensive overview of the latest advancements in machine learning and deep learning, highlighting their pivotal role in improving small aircraft intelligence, safety, and efficiency.
  • Sustainable energy generation from waste water: IoT integrated technologies
    U. Rahamathunnisa, K. Sudhakar, S. N. Padhi, Sumanta Bhattacharya, G. Shashibhushan, Sampath Boopathi
    Adoption and Use of Technology Tools and Services by Economically Disadvantaged Communities Implications for Growth and Sustainability, 2023
    This chapter investigates the conversion of wastewater into sustainable energy through the use of novel methods such as anaerobic digestion, microbial fuel cells, geothermal desalination, and internet of things (IoT) integration. It underlines the significance of wastewater treatment and energy sustainability, as well as the need for cost-effective solutions. IoT for real-time data collecting, analysis, and control can help with sustainable wastewater treatment and energy generation. Anaerobic digestion generates biogas, whereas microbial fuel cells convert organic molecules into energy. Geothermal desalination provides low-cost energy efficiency. IoT technology enhances performance, lowers energy consumption, and allows for remote monitoring and maintenance, all of which contribute to a more sustainable and resilient future.
  • A Multi-Stage Faster RCNN-Based iSPLInception for Skin Disease Classification Using Novel Optimization
    R. Josphineleela, P. B. V. Raja Rao, Amir shaikh, K. Sudhakar
    Journal of Digital Imaging, 2023
  • Sustainable developments of human-machine interaction for knowledge discovery and management: Healthcare and agricultural domains
    P. V. Pramila, G. Dineshnath, K. Sudhakar, R. Jothilakshmi, H. C. Sudheendramouli, M. Sudhakar
    Sustainable Science and Intelligent Technologies for Societal Development, 2023
    Human-machine interaction (HMI) is an important field in knowledge discovery and management, allowing for improved user engagement, decision-making, and efficiency. It involves user-centered design, information architecture, visualization, recommendation systems, collaborative filtering, machine learning, feature extraction, dimensionality reduction, clustering, classification, evaluation, validation, text mining, sentiment analysis, topic modelling, information extraction, opinion mining, and language generation. A case study in the healthcare and agricultural domains demonstrated the practical implementation of HMI in knowledge discovery and highlighted the positive impact of HMI approaches in addressing challenges specific to healthcare knowledge management. In conclusion, HMI plays a pivotal role in knowledge discovery and management, enabling users to effectively explore and extract valuable insights from complex datasets.
  • An IoT-Based System for Fault Detection and Diagnosis in Solar PV Panels
    Balakrishnan D., Raja J., Manikandan Rajagopal, Sudhakar K., Janani K.
    E3s Web of Conferences, 2023
    This abstract describes an IoT-based system for fault detection and diagnosis in solar PV panels. The proposed Fuzzy logic-based fault detection algorithms aims to improve the performance and reliability of solar PV panels, which can be affected by various faults such as shading, soiling, degradation, and electrical faults. The system includes wireless sensor nodes that are deployed on the panels to collect data on their electrical parameters and environmental conditions, such as temperature, irradiance, and humidity. The collected data is then transmitted to a central server for processing and analysis using machine learning algorithms. The system can detect and diagnose faults in real-time, and provide alerts and recommendations to maintenance personnel to take appropriate actions to prevent further damage or downtime. The system has several advantages over traditional manual inspection and maintenance methods, including reduced downtime, lower maintenance costs, and improved energy efficiency. The proposed system has been validated through experimental tests, and the results show that it can accurately detect and diagnose faults in solar PV panels with high reliability and efficiency.
  • Cloud computing principles for optimizing robot task offloading processes
    U. Rahamathunnisa, K. Sudhakar, Tamilarasi K. Murugan, Thivaharan S., Rajkumar M., S. Boopathi
    AI Enabled Social Robotics in Human Care Services, 2023
  • Perceptual Video Summarization Using Keyframes Extraction Technique
    Rajitha Jasmine R, Padmaja Nimmagadda, K. Sudhakar, Benitha Christinal J, P. Rajasekar, Syed Musthafa A
    Proceedings of 2023 3rd International Conference on Innovative Practices in Technology and Management Iciptm 2023, 2023
  • Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
    K. Sudhakar, D. Saravanan, G. Hariharan, M. S. Sanaj, Santosh Kumar, Maznu Shaik, Jose Luis Arias Gonzales, Khursheed Aurangzeb
    Open Life Sciences, 2023
  • Identical twin matching based on multiple feature extractors
    K. Sudhakar, P. Nithyanandam
    International Journal of Internet Technology and Secured Transactions, 2022
  • Analysis on Texture Feature Extraction Methods for Face Recognition in New Born
    U Rahamathunnisa, K Sudhakar
    2021 6th International Conference on Recent Trends on Electronics Information Communication and Technology Rteict 2021, 2021
  • Facial identification of twins based on fusion score method
    K. Sudhakar, P. Nithyanandam
    Journal of Ambient Intelligence and Humanized Computing, 2021
  • An accurate facial component detection using gabor filter
    K. Sudhakar, P. Nithyanandam
    Bulletin of Electrical Engineering and Informatics, 2017
  • A multi task boosting technique over sector based structure in wireless sensor network
    International Journal of Engineering and Technology, 2013

RECENT SCHOLAR PUBLICATIONS

  • Alternate fuels for internal combustion engines: Status review on improving performance and reducing emissions with biodiesel, bio‐alcohol, bio‐oil and plastic oil
    M Nagappan, P Boomadevi, D Ommurugadhasan, J Jayaprabakar, ...
    Environmental Progress & Sustainable Energy, e70485 , 2026
    2026
  • Hybrid Embedding and Transformer-based Text and Vision Architectures for Deep Learning Artificial Intelligence
    S Khullar, BA Kumar, DR Karumanchi, G Venugopalarao, K Sudhakar, ...
    2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026
    2026
  • Non-invasive A, B and O Blood Group Identification from Ocular Images Using a Hybrid Multi-modal Deep Learning Approach
    V Koreddi, K Sudhakar, M Lavanya, G Gayathri, KSVNG Deepika, ...
    Biomedical Materials & Devices, 1-14 , 2026
    2026
  • Comparative Study of Machine Learning Algorithms for Heart Attack Prediction
    S Selvaraju, S Suganya, D Veerasamy, K Sudhakar
    2026 Sixth International Conference on Advances in Electrical, Computing … , 2026
    2026
  • WORK–LIFE BALANCE AND ITS EFFECT ON EMPLOYEE PRODUCTIVITY IN HRM
    MKM Dr. Hareesh Rebelli, Dr. D. Sathish Kumar, Dr. Annapurna Gupta, Deep ...
    IN Patent App. 202,541,132,311 , 2026
    2026
  • An AI-Driven Diagnostic Method Employing Interpretable Deep Learning for Improved Detection of Diabetes and Diabetic Retinopathy
    KS Dr. Ch Naveen Kumar Reddy, E. Priyadarshini, S Nithyapriya, C.Kavitha
    IN Patent App. 202,541,117,379 , 2025
    2025
  • AI-POWERED SMART SHOPPING BASKET FOR REAL-TIME BUDGET MANAGEMENT
    AJSJOY DR A. DAVEEDU RAJU, M. RADHA KRISHNA, DR. VIJAYA RAJU MOTRU, CH ...
    IN Patent App. 202,541,070,393 , 2025
    2025
  • Smart Healthcare: Enhancement of Patient Outcomes By Iot-Enabled Wearable Devices and Machine Learning Algorithms
    KB Glory, AR Rao, BP Kumar, K Sudhakar, PA Kumari
    Journal of Neonatal Surgery 14 (21S), 659-668 , 2025
    2025
  • Real-Time Health Data Analytics: Integrating IoT and Machine Learning for Early Detection of Chronic Diseases
    K Sudhakar, SK Kishore, JSVG Krishna, T Marchina, N Sangma, ...
    Journal of Neonatal Surgery 14 (22S), 739-764 , 2025
    2025
    Citations: 1
  • Detection of malware in android systems using Machine Learning Algorithms
    PS Nandini, C Divya, W Akbar, K Sudhakar, OR Devi
    6th International Conference on Multidisciplinary and Current Educational … , 2025
    2025
  • An IoT-Based Approach for Air Quality Monitoring and Forecasting Using GRU Networks
    K Sudhakar, M Gayathri, Annapureddy, S Yashwanth, AV Chand
    6th International Conference on Multidisciplinary and Current Educational … , 2025
    2025
  • Lifestyle risk prediction in tech industry professionals using ANN
    K Sudhakar, J Triveni, AMPS Kumar, V Srishanth
    Fifteenth International Conference on Advances in Information Technology and … , 2025
    2025
  • Students Attendance Collection using Deep Learning for face detection in Artificial Intelligence
    K Sudhakar, R Ranadheer, SKN Shareef, MS Kumar, OR Devi
    Fifteenth International Conference on Advances in Information Technology and … , 2025
    2025
  • Novel Programmable Solar Based SIMO Converter for SMPS Applications with IOT Infrastructure
    K Dusarlapudi, S Chundu, K Sudhakar
    International Journal of Integrated Engineering 16 (7), 210-220 , 2024
    2024
    Citations: 1
  • 59 Cost-effective retrofit electric vehicle solutions empowered by IoT dashboard integration
    K Dusarlapudi, K Sudhakar, JSVG Krishna, KS Teja, NV Sai
    Intelligent Computation and Analytics on Sustainable Energy and Environment … , 2024
    2024
  • Design and Implementation of Smart Interface for Next-Gen Monitoring in EV's
    K Dusarlapudi, OM Goutham, RT Kasukurthi, MC Simha, D Amarnadh, ...
    2024 4th International Conference on Sustainable Expert Systems (ICSES), 84-89 , 2024
    2024
    Citations: 2
  • Deep Learning-Based Network Security Situation Prediction for Sensor- Enabled Networks
    M Indrasenareddy, K Sudhakar, JK Raguru, D Chitra, J Kavitha, ...
    International Journal of Sensors, Wireless Communications and Control 11 (3 … , 2024
    2024
  • Secure Vision: Enhancing Data Security in Wireless Sensor Networks through Image Processing
    BV Swamy, S Gopi, K Sudhakar, P Girish, MJ Rani, S Upadhyay
    2024 8th International Conference on I-SMAC (IoT in Social, Mobile … , 2024
    2024
    Citations: 5
  • Integrated Disease Forecasting: Leveraging Deep Learning and Machine Learning for Multi-Disease Prediction.
    A Pradhan, JSV Krishna, BP Kumar, G Tabita, VVR Lsastry, K Sudhakar
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 1
  • A Review On Availability Of Information And Education Resources For Social Equality
    GNR Prasad, K Sudhakar
    International Journal of Computer Science and Mechatronics-IJCSM 10 (3) , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Web User Profile Generation and Discovery Analysis using LSTM Architecture
    K Sudhakar, B Smail, TS Reddy, S Shitharth, DR Tripat
    2022 2nd International Conference on Technological Advancements in … , 2022
    2022
    Citations: 10
  • Water Level Prediction using Random Forest Algorithm
    K Sudhakar, SMR Mallireddy, P Tallapureddy, S Vuddanti, B Katragadda, ...
    2023 7th International Conference on Electronics, Communication and … , 2023
    2023
    Citations: 6
  • Secure Vision: Enhancing Data Security in Wireless Sensor Networks through Image Processing
    BV Swamy, S Gopi, K Sudhakar, P Girish, MJ Rani, S Upadhyay
    2024 8th International Conference on I-SMAC (IoT in Social, Mobile … , 2024
    2024
    Citations: 5
  • Novel IoT & Machine Learning Base Water Flow Monitoring System
    KVC Bharadwaj, DK Bharadwaj, K Sudhakar, VSK Polasi, CS Tiruvuri, ...
    2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) , 2022
    2022
    Citations: 5
  • Design and prototyping of an accelerometer based parallel manipulator for endoscope position control
    D Kalyan, NR Kuthuri, KK Kolusu, K Sudhakar, T Charan Sai
    The Indonesian Journal of Electrical Engineering and Computer Science … , 2022
    2022
    Citations: 5
  • Estimation of Erosion and Deposition of Krishna River Bank using Remote Sensing & GIS
    K Sudhakar, M Sudhakar
    International Journal of Recent Technology and Engineering (IJRTE) 7 (6S … , 2019
    2019
    Citations: 5
  • An analysis to improve branch prediction accuracy by using neural branch prediction
    SR Peram, K Sudhakar
    2018
    Citations: 3
  • Design and Implementation of Smart Interface for Next-Gen Monitoring in EV's
    K Dusarlapudi, OM Goutham, RT Kasukurthi, MC Simha, D Amarnadh, ...
    2024 4th International Conference on Sustainable Expert Systems (ICSES), 84-89 , 2024
    2024
    Citations: 2
  • The Dashboard Infrastructure of Electric Vehicles with IoT and Wireless Power Transfer System
    CS Tiruvuri, K Dusarlapudi, K Sudhakar, JSVG Krishna, ACP Ranjani, ...
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023
    Citations: 2
  • Real-Time Health Data Analytics: Integrating IoT and Machine Learning for Early Detection of Chronic Diseases
    K Sudhakar, SK Kishore, JSVG Krishna, T Marchina, N Sangma, ...
    Journal of Neonatal Surgery 14 (22S), 739-764 , 2025
    2025
    Citations: 1
  • Novel Programmable Solar Based SIMO Converter for SMPS Applications with IOT Infrastructure
    K Dusarlapudi, S Chundu, K Sudhakar
    International Journal of Integrated Engineering 16 (7), 210-220 , 2024
    2024
    Citations: 1
  • Integrated Disease Forecasting: Leveraging Deep Learning and Machine Learning for Multi-Disease Prediction.
    A Pradhan, JSV Krishna, BP Kumar, G Tabita, VVR Lsastry, K Sudhakar
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 1
  • Different Machine Learning Approaches for Fake News Detection
    GV Suresh, K Sudhakar
    International Journal of Computer Science and Mechatronics 10 (2) , 2024
    2024
    Citations: 1
  • Cost-effective retrofit electric vehicle solutions empowered by IoT dashboard integration
    K Dusarlapudi, K Sudhakar, JSVG Krishna, KS Teja, NV Sai
    Intelligent Computation and Analytics on Sustainable Energy and Environment … , 2024
    2024
    Citations: 1
  • Model Based Design Accelerometer Control system in EV-ECU For HIL Testing
    D Kalyan, K Sudhakar, PPV Sai, JSVG Krishna
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023
    Citations: 1
  • Data Management and Visual Information Processing in Financial Organisation using Machine Learning
    A Balamurugan, B GIriranjan, K Sudhakar, P Potluri, KR Kumar, AR Sane
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 1
  • Scientific Understanding of Learning through Deep Learning Algorithms
    RP AC, K Sudhakar, GK JSV, V Jasmine, M Nikhita
    International Journal of Early Childhood Special Education (INT-JECS) 14 (7 … , 2022
    2022
    Citations: 1
  • Implications of Big Data Analytics for Pharmaceutical Industry and Transforming Healthcare
    GK JSV, K Sudhakar, SSR Dr, P S, Karthik, Navaraja
    Design Engineering 2021 (7), 12473-12482 , 2021
    2021
    Citations: 1
  • Alternate fuels for internal combustion engines: Status review on improving performance and reducing emissions with biodiesel, bio‐alcohol, bio‐oil and plastic oil
    M Nagappan, P Boomadevi, D Ommurugadhasan, J Jayaprabakar, ...
    Environmental Progress & Sustainable Energy, e70485 , 2026
    2026
  • Hybrid Embedding and Transformer-based Text and Vision Architectures for Deep Learning Artificial Intelligence
    S Khullar, BA Kumar, DR Karumanchi, G Venugopalarao, K Sudhakar, ...
    2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026
    2026