Niladri Sekhar Dey

@bvrit.ac.in

Associate Professor, Deaprtment of AI & DS
B V Raju Institute of Technology

Niladri Sekhar Dey


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https://researchid.co/sdniladri

EDUCATION

B. Tech, M/ Tech

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science Applications, Artificial Intelligence, Hardware and Architecture
19

Scopus Publications

179

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • QoS-Aware Deployment and Synchronization of Digital Twins Over Federated Cloud Platforms for Smart Infrastructure Monitoring
    M V Narayana, Naveen Reddy N, Madhu S, Madhu T, Niladri Sekhar Dey, Sanjeev Shrivastava
    International Journal of Advanced Computer Science and Applications, 2025
    This electronic increasingly, Digital Twin (DT) systems are being leveraged in smart infrastructure settings (e.g., structural health monitoring, intelligent traffic controls, and distributed utility networks). Yet, the available solutions all face hurdles that can prevent real-time synchronization of DT instances across federated cloud platforms, primarily due to latency variation, quality of service (QoS) assurance, and stale data, which are all consequences of heterogeneous computer environments. Most solutions depend on static cloud-only models of deployment, with no option for dynamic negotiation of resources. These provide long update times (typically greater than 200ms), low accuracy rates, and low real-time responsiveness. Additionally, traditional DT models were not developed with multi-regional deployment or QoS workloads in mind. In this work, a QoS-Aware Federated Digital Twin Orchestration Framework (Q-FDTO) is designed to allow latency-critical monitoring of infrastructure across different federated cloud regions, through the integration of a hybrid edge-cloud control plane, adaptive synchronization, jitter consideration for observed intervals, and dynamic resource allocation via reinforcement learning for defined QoS Service Level Objectives (SLOs). This system was evaluated on a smart city testbed of 1200 sensor nodes. The testbed monitored sensor readings for structural strain, vibration, and traffic density across twelve locations. The digital twin pipeline is comprehensive [i.e., (i) ingestion via Wi-Fi MQTT, (ii) stream fusion of all the sensor readings via Kalman filtering, and (iii) twin modeling of prediction, through a temporal graph convolutional network (T-GCN)]. To assess performance, sync policies were evaluated on metrics for average update latency (ms), sync drift (ms), and data consistency rate (%). The results demonstrate that Q-FDTO had an average update latency of 87.3 ms, reduced from 194.6 ms, and a 96.2% consistency rate across federated nodes with less than 2.5% sync drift over 10-minute intervals, showing Q-FDTO architecture ability for network boundaries and also compatible with AWS Outposts and Azure Arc hybrid cloud environments. It establishes a scalable and practical approach to latency-sensitive DT deployments in the realm of smart infrastructure systems.
  • A NOVEL INTEGRATED FRAMEWORK FOR SECURE IOT-BASED SMART VEHICLE MANAGEMENT USING MACHINE LEARNING AND BLOCKCHAIN FOR PATH PLANNING AND COLLISION AVOIDANCE
    Journal of Theoretical and Applied Information Technology, 2025
  • A particle swarm optimization inspired global and local stability driven predictive load balancing strategy
    Niladri Sekhar Dey, Hrushi Kesava Raju Sangaraju
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
    In distributed systems and parallel computing, optimal load balancing is difficult. These abstract addresses load balancing in distributed situations, highlighting current solutions' flaws and emphasizing the need for new ones. Load balancing research includes centralized and distributed algorithms, heuristics, and predictive models. Despite various successful methods, workload adaptability, overhead reduction, and scaling to large systems remain unresolved. This study proposes a particle swarm optimization (PSO) load balancing method that considers global and local stability considerations. The proposed method uses PSO principles to balance exploration and exploitation and allocate resources among distributed nodes. Predictive components improve preventative load management by predicting workload changes. Global and local load balancing stability criteria distinguish this study. The recommended method considers global system-wide performance indicators, local node-level characteristics, and micro-level stability to maximize system efficiency. A dual-focus technique distinguishes the proposed load balancing strategy from others, solving dynamic distributed system challenges. The study examines load balancing system advances and suggests improvements and further research. More accurate prediction modeling, stability measures, and application-specific enhancements may be studied in the future. Experimental validation and real-world implementation of the recommended approach are necessary to determine its practicality and ability to handle modern distributed computing systems.
  • Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Quantum-Enhanced Secure Multi-party Computation for Cyber Security Applications
    Abhay Kumar, Niladri Sekhar Dey, B. Chennakeshwar, C. Anuvamshitha
    Communications in Computer and Information Science, 2024
  • Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence
    Sana Pavan Kumar Reddy, Niladri Sekhar Dey, A. SrujanGoud, U. Rakshitha
    Communications in Computer and Information Science, 2024
  • Advancements in Machine Learning for Anomaly Detection in Cyber Security
    Niladri Sekhar Dey, R. Deepika, Karthik Tekuri, Unyala Sanjana
    Communications in Computer and Information Science, 2024
  • Comprehensive Analysis of Text Summarization Techniques for Legal Documents
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Hybrid Load Balancing Strategy for Cloud Data Centers with Novel Performance Evaluation Strategy
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • ACO-Inspired Load Balancing Strategy for Cloud-Based Data Centre with Predictive Machine Learning Approach
    Niladri Dey, T. Gunasekhar, K. Purnachand
    Computers Materials and Continua, 2023
    Virtual Machines are the core of cloud computing and are utilized to get the benefits of cloud computing. Other essential features include portability, recovery after failure, and, most importantly, creating the core mechanism for load balancing. Several study results have been reported in enhancing load-balancing systems employing stochastic or biogenetic optimization methods. It examines the underlying issues with load balancing and the limitations of present load balance genetic optimization approaches. They are criticized for using higher-order probability distributions, more complicated solution search spaces, and adding factors to improve decision-making skills. Thus, this paper explores the possibility of summarizing load characteristics. Second, this study offers an improved prediction technique for pheromone level prediction over other typical genetic optimization methods during load balancing. It also uses web-based third-party cloud service providers to test and validate the principles provided in this study. It also reduces VM migrations, time complexity, and service level agreements compared to other parallel standard approaches.
  • Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology
    Niladri Sekhar Dey, Sana Pavan Kumar Reddy, Lavanya G
    7th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2023 Proceedings, 2023
  • Automated Brain Tumor Segmentation in MRI : An Enhanced Mask Generation Approach
    Surajit Das, Niladri Sekhar Dey, Mattam Mounika
    7th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2023 Proceedings, 2023
  • Lung Cancer Detection and Classification using Transfer Learning with Pre-trained VGG19 Convolutional Neural Networks
    Surajit Das, Lavanya G, Sangem Jaya Prakash, Niladri Sekhar Dey, Jeshwanth Panuganti, Rokati Poojitha
    2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies Icefeet 2023, 2023
  • An automated framework for detecting change in the source code and test case change recommendation
    Niladri Shekar Dey, Purnachand Kollapudi, M V, I Govardhana
    International Journal of Advanced Computer Science and Applications, 2020
  • Sentiment Extraction and Analysis using Machine Learning Tools-Survey
    Amjan Shaik, Niladri Sekhar Dey, K. Purnachand, Ch. Madhu Babu
    Iop Conference Series Materials Science and Engineering, 2019
  • A Comprehensive Survey of Load Balancing Strategies Using Hadoop Queue Scheduling and Virtual Machine Migration
    Niladri Sekhar Dey, T. Gunasekhar
    IEEE Access, 2019
  • A structured approach for learner centric digital elearning: Vishnu massive online open courses: A cloud based elearning portal
    Niladri Sekhar Dey, K. Dasaradha Ramaiah
    Proceedings of the 2014 IEEE International Conference on Moocs Innovation and Technology in Education IEEE Mite 2014, 2014
  • Performance analysis of cloud databases handling social networking data
    Niladri Dey, Dr. Sujoy Bhattacharya
    2013 IEEE International Conference on Cloud Computing in Emerging Markets Ccem 2013, 2013
  • Speech and speaker recognition system using artificial neural networks and hidden Markov model
    Niladri Sekhar Dey, Ramakanta Mohanty, K.L. Chugh
    Proceedings International Conference on Communication Systems and Network Technologies Csnt 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • A NOVEL INTEGRATED FRAMEWORK FOR SECURE IOT-BASED SMART VEHICLE MANAGEMENT USING MACHINE LEARNING AND BLOCKCHAIN FOR PATH PLANNING AND COLLISION AVOIDANCE
    MV NARAYANA, P PARTHASARADHY, PJ KUMAR, S KIRAN, ...
    Journal of Theoretical and Applied Information Technology 103 (21) , 2025
    2025
  • YOLO-BASED FEATURE LEARNING WITH RF–XGB ENSEMBLES FOR ROBUST CITRUS LEAF DISEASE DETECTION
    KV AJAY, MSKB PADMAJA PULICHERLA, DVD P THIRUMOORTHY, ...
    Journal of Theoretical and Applied Information Technology 103 (21) , 2025
    2025
  • QoS-Aware Deployment and Synchronization of Digital Twins Over Federated Cloud Platforms for Smart Infrastructure Monitoring.
    MV Narayana, NS Dey, S Shrivastava
    International Journal of Advanced Computer Science & Applications 16 (8) , 2025
    2025
  • A particle swarm optimization inspired global and local stability driven predictive load balancing strategy
    NS Dey, HKR Sangaraju
    Indonesian Journal of Electrical Engineering and Computer Science 35 (3), 10 … , 2024
    2024
    Citations: 23
  • Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence
    SPK Reddy, NS Dey, A SrujanGoud, U Rakshitha
    International Conference on Intelligent Computing and Big Data Analytics … , 2024
    2024
    Citations: 1
  • Lung cancer detection and classification using transfer learning with pre-trained VGG19 convolutional neural networks
    S Das, G Lavanya, SJ Prakash, NS Dey, J Panuganti, R Poojitha
    2023 3rd International Conference on Emerging Frontiers in Electrical and … , 2023
    2023
    Citations: 7
  • Automated brain tumor segmentation in mri: An enhanced mask generation approach
    S Das, NS Dey, M Mounika
    2023 7th International conference on I-SMAC (IoT in social, mobile … , 2023
    2023
    Citations: 3
  • Serverless computing: architectural paradigms, challenges, and future directions in cloud technology
    NS Dey, SPK Reddy
    2023 7th International Conference on I-SMAC (IoT in Social, Mobile … , 2023
    2023
    Citations: 13
  • Hybrid load balancing strategy for cloud data centers with novel performance evaluation strategy
    NS Dey, HKR Sangaraju
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023
    Citations: 29
  • Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies
    MU Nagavelli, NS Dey, SPK Reddy
    AIDE-2023 and PCES-2023, 414 , 2023
    2023
  • Comprehensive Analysis of Text Summarization Techniques for Legal Documents
    R Deepika, S Das, NS Dey, J Panuganti, MR Hussain
    AIDE-2023 and PCES-2023, 426 , 2023
    2023
  • ACO-Inspired Load Balancing Strategy for Cloud-Based Data Centre with Predictive Machine Learning Approach
    N Dey, T Gunasekhar, K Purnachand
    Computers, Materials, & Continua 75 (1), 513 , 2023
    2023
    Citations: 1
  • Sentiment extraction and analysis using machine learning tools-survey
    A Shaik, N Sekhar Dey, K Purnachand, CM Babu
    IOP Conference Series: Materials Science and Engineering 594 (1), 012022 , 2019
    2019
    Citations: 5
  • A comprehensive survey of load balancing strategies using hadoop queue scheduling and virtual machine migration
    NS Dey, T Gunasekhar
    IEEE Access 7, 92259-92284 , 2019
    2019
    Citations: 47
  • A structured approach for learner centric digital elearning: Vishnu massive online open courses: A cloud based elearning portal
    NS Dey, KD Ramaiah
    2014 IEEE International Conference on MOOC, Innovation and Technology in … , 2014
    2014
    Citations: 1
  • Performance analysis of cloud databases handling social networking data
    N Dey, S Bhattacharya
    2013 IEEE International Conference on Cloud Computing in Emerging Markets … , 2013
    2013
    Citations: 2
  • Speech and speaker recognition system using artificial neural networks and hidden Markov model
    NS Dey, R Mohanty, KL Chugh
    2012 international conference on communication systems and network … , 2012
    2012
    Citations: 45
  • On Road Navigation System Using Spatial and MotionImage Processing for Automatic Navigation System
    NS Dey, R Mohanty, KL Chugh
    International Journal of Innovation, Management and Technology 3 (1), 80 , 2012
    2012
    Citations: 2
  • Speech and Speaker Recognition System using Artificial Neural Networks and Hidden Markov Model for Automatic Machine Learning
    NS Dey, P Rao, KL Chugh
    Journal of Innovation in Computer Science and Engineering 2 (1), 24-28 , 2012
    2012
  • Cloud Based Ranking System on Clustered Databases
    N Dey, S Bhattacharya
    2010

MOST CITED SCHOLAR PUBLICATIONS

  • A comprehensive survey of load balancing strategies using hadoop queue scheduling and virtual machine migration
    NS Dey, T Gunasekhar
    IEEE Access 7, 92259-92284 , 2019
    2019
    Citations: 47
  • Speech and speaker recognition system using artificial neural networks and hidden Markov model
    NS Dey, R Mohanty, KL Chugh
    2012 international conference on communication systems and network … , 2012
    2012
    Citations: 45
  • Hybrid load balancing strategy for cloud data centers with novel performance evaluation strategy
    NS Dey, HKR Sangaraju
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023
    Citations: 29
  • A particle swarm optimization inspired global and local stability driven predictive load balancing strategy
    NS Dey, HKR Sangaraju
    Indonesian Journal of Electrical Engineering and Computer Science 35 (3), 10 … , 2024
    2024
    Citations: 23
  • Serverless computing: architectural paradigms, challenges, and future directions in cloud technology
    NS Dey, SPK Reddy
    2023 7th International Conference on I-SMAC (IoT in Social, Mobile … , 2023
    2023
    Citations: 13
  • Lung cancer detection and classification using transfer learning with pre-trained VGG19 convolutional neural networks
    S Das, G Lavanya, SJ Prakash, NS Dey, J Panuganti, R Poojitha
    2023 3rd International Conference on Emerging Frontiers in Electrical and … , 2023
    2023
    Citations: 7
  • Sentiment extraction and analysis using machine learning tools-survey
    A Shaik, N Sekhar Dey, K Purnachand, CM Babu
    IOP Conference Series: Materials Science and Engineering 594 (1), 012022 , 2019
    2019
    Citations: 5
  • Automated brain tumor segmentation in mri: An enhanced mask generation approach
    S Das, NS Dey, M Mounika
    2023 7th International conference on I-SMAC (IoT in social, mobile … , 2023
    2023
    Citations: 3
  • Performance analysis of cloud databases handling social networking data
    N Dey, S Bhattacharya
    2013 IEEE International Conference on Cloud Computing in Emerging Markets … , 2013
    2013
    Citations: 2
  • On Road Navigation System Using Spatial and MotionImage Processing for Automatic Navigation System
    NS Dey, R Mohanty, KL Chugh
    International Journal of Innovation, Management and Technology 3 (1), 80 , 2012
    2012
    Citations: 2
  • Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence
    SPK Reddy, NS Dey, A SrujanGoud, U Rakshitha
    International Conference on Intelligent Computing and Big Data Analytics … , 2024
    2024
    Citations: 1
  • ACO-Inspired Load Balancing Strategy for Cloud-Based Data Centre with Predictive Machine Learning Approach
    N Dey, T Gunasekhar, K Purnachand
    Computers, Materials, & Continua 75 (1), 513 , 2023
    2023
    Citations: 1
  • A structured approach for learner centric digital elearning: Vishnu massive online open courses: A cloud based elearning portal
    NS Dey, KD Ramaiah
    2014 IEEE International Conference on MOOC, Innovation and Technology in … , 2014
    2014
    Citations: 1
  • A NOVEL INTEGRATED FRAMEWORK FOR SECURE IOT-BASED SMART VEHICLE MANAGEMENT USING MACHINE LEARNING AND BLOCKCHAIN FOR PATH PLANNING AND COLLISION AVOIDANCE
    MV NARAYANA, P PARTHASARADHY, PJ KUMAR, S KIRAN, ...
    Journal of Theoretical and Applied Information Technology 103 (21) , 2025
    2025
  • YOLO-BASED FEATURE LEARNING WITH RF–XGB ENSEMBLES FOR ROBUST CITRUS LEAF DISEASE DETECTION
    KV AJAY, MSKB PADMAJA PULICHERLA, DVD P THIRUMOORTHY, ...
    Journal of Theoretical and Applied Information Technology 103 (21) , 2025
    2025
  • QoS-Aware Deployment and Synchronization of Digital Twins Over Federated Cloud Platforms for Smart Infrastructure Monitoring.
    MV Narayana, NS Dey, S Shrivastava
    International Journal of Advanced Computer Science & Applications 16 (8) , 2025
    2025
  • Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies
    MU Nagavelli, NS Dey, SPK Reddy
    AIDE-2023 and PCES-2023, 414 , 2023
    2023
  • Comprehensive Analysis of Text Summarization Techniques for Legal Documents
    R Deepika, S Das, NS Dey, J Panuganti, MR Hussain
    AIDE-2023 and PCES-2023, 426 , 2023
    2023
  • Speech and Speaker Recognition System using Artificial Neural Networks and Hidden Markov Model for Automatic Machine Learning
    NS Dey, P Rao, KL Chugh
    Journal of Innovation in Computer Science and Engineering 2 (1), 24-28 , 2012
    2012
  • Cloud Based Ranking System on Clustered Databases
    N Dey, S Bhattacharya
    2010