Cecil Donald A

@christuniversity.in

Assistant Professor, Department of Computer Science
CHRIST (Deemed to be University)

Cecil Donald A


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https://researchid.co/cecildonal

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Multidisciplinary, Computer Networks and Communications
25

Scopus Publications

420

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • SharePort: A Cost Saving and Energy Efficient Ride-Sharing Application for Airport Commutes
    Karan Agarwal, Cecil Donald, Nismon Rio R
    Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026, 2026
  • Reinforcement Learning for Quantum Phase Estimation Using Deep Q-Network
    Sundharess B, Vikash Krishna R, Gopika SS, Somnath Sinha, Cecil Donald, et al.
    2025 IEEE Madhya Pradesh Section Conference Mpcon 2025, 2025
  • Genetically Optimized GAT Recommender
    R Vikash Krishna, B Sundharess, T Sudhakar, Cecil Donald, Helen K Joy, et al.
    2025 IEEE International Conference on Electronics Computing and Communication Technologies Conecct 2025, 2025
  • Artificial Intelligence Technique Based Effective Disaster Recovery Framework to Provide Longer Time Connectivity in Mobile Ad-hoc Networks
    Nismon Rio Robert, A. Cecil Donald, K. Suresh
    International Journal of Computational and Experimental Science and Engineering, 2024
    Communication plays a vital role for effective management and for the execution of disaster response and emergency recovery efforts must be able to exchange information with each other from anywhere, at any time to successfully fulfill their missions. Therefore, it is important to configure emergency communications networks in disaster conditions using ad-hoc networks. This proposed framework collects the information and communication before or after a disaster. The aim of this research work is to propose a possible practical communication model by using ad-hoc network configuration technologies using Greedy Randomized Adaptive Search Procedure (GRASP) with the proposed algorithm. The development of this research work is to improve information exchange and facilitate coordination among emergency services and disaster field offices, state/level entities and private industry. This is accomplished by the integration of existing information systems, implementation of new efficient technologies and interconnection of established networks with artificial based techniques
  • Stress Level Detection in Continuous Speech Using CNNs and a Hybrid Attention Layer
    R. Subramani, K. Suresh, A. Cecil Donald, K. Sivaselvan
    Lecture Notes in Networks and Systems, 2024
  • A Secure Data Encryption Mechanism in Cloud Using Elliptic Curve Cryptography
    I. Sudha, Cecil Donald, S. Navya, G. Nithya, Manivannan Balamurugan, et al.
    Proceedings of the 2nd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2024, 2024
    Cloud computing is undergoing continuous evolution and is widely regarded as the next generation architecture for computing. Cloud computing technology allows users to store their data and applications on a remote server infrastructure known as the cloud. Cloud service providers, such Amazon, Rackspace, VMware, iCloud, Dropbox, Google's Application, and Microsoft Azure, provide customers the opportunity to create and deploy their own applications inside a cloud-based environment. These providers also grant users the ability to access and use these applications from any location worldwide. The subject of security poses significant challenges in contemporary times. The primary objective of cloud security is to establish a sense of confidence between cloud service providers and data owners inside the cloud environment. The cloud service provider is responsible for ensuring user data's security and integrity. Therefore, the use of several encryption techniques may effectively ensure cloud security. Data encryption is a commonly used procedure utilised to ensure the security of data. This study analyses the Elliptic Curve Cryptography method, focusing on its implementation in the context of encryption and digital signature processes. The objective is to enhance the security of cloud applications. Elliptic curve cryptography is a very effective and robust encryption system due to its ability to provide reduced key sizes, decreased CPU time requirements, and lower memory utilisation.
  • A Quality of Service Study for Downlink Scheduling Algorithms in Mobile Networks
    Ramkumar Krishnamoorthy, S. Nagaraj, Nismon Rio Robert, A. Cecil Donald, K. Suresh, et al.
    Lecture Notes in Networks and Systems, 2024
  • The Optimization of Output of Wind Turbine with the Ongoing Grid System through BP Method Using ANN
    B. Prabha, Cecil Donald, Vijay Karthikeyan Dhandapani, Srinivasa Rao Sura, Raad Muhammed Sayed, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Wind turbines are intricate devices that need careful planning, evaluation, and installation to guarantee peak performance under a range of environmental circumstances. Comprehensive load calculations, performance evaluations, and iterative optimisation processes are all part of the design process. However, complex simulation techniques are required to adequately depict the non-linear behaviour of wind turbine systems because of their complicated structure. Automation of optimisation processes and simulation executions is crucial to optimise the design process and manage the large number of simulations that are needed. This work provides a thorough framework using back propagation (BP) and artificial neural networks (ANN) for simulation and optimization that will make it easier to manage and automate the execution of iterative simulations during the design and development of wind turbines. The framework’s main goals are to make design load case simulations easier and optimise activities more automatically. The framework makes it possible to optimise wind turbine systems and explore design options more effectively by automating these procedures. Three example optimisation jobs illustrate the framework’s versatility and functionality.
  • Analyzing Market Factors for Stock Price Prediction using Deep Learning Techniques
    Suresh K, Aritra Sarkar, Anjali Rai, Apoorva Vasishtha, Tyrell Fernandes, et al.
    8th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2024 Proceedings, 2024
    This paper presents a comprehensive study on stock price predictions by integrating market factors and sentiment analysis of news headlines. The research is divided into two modules, each employing distinct methodologies to enhance the accuracy of stock price forecasts. In the first module, market factors are investigated using three advanced algorithms: Long Short-Term Memory (LSTM), Gradient Boosting Decision Trees (GBDT), and Facebook Prophet (FBPROPHET). These algorithms are evaluated based on metric scores such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The analysis focuses on predicting high and low values of market prices for the period from January to June 2021. The comparative assessment of these algorithms provides insights into their effectiveness in capturing market trends and making precise predictions. In the second module, the paper explores the impact of news headlines on stock prices by extracting sentiment using three distinct algorithms: lexical-based analysis, Naive Bayes, and FinBERT. The sentiment analysis aims to gauge the market sentiment reflected in news articles and assess its influence on stock price movements. Prediction accuracy is calculated for each algorithm, highlighting their strengths in capturing sentiment patterns.
  • The Integration of HMS using IOMT and CE Through ANFIS
    R. Sreelakshmy, Cecil Donald, Gnanajeyaraman Rajaram, Prakash Putta, Sadeq Khudhur Thajeel, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Advances in the IoMT-enabled cloud computing and interactive applications provide a basis for reconsidering the landscape for delivery of healthcare services. Even though the IoMT-cloud-based systems monitor patients remotely, it fails to take into account the sustainability of the healthcare systems. The paper presents the integrated framework of green healthcare under the umbrella of unique technology to enhance user interactivity. Our system is user-friendly, considering scalability and performance for both patients and doctors. Patients can send their health data to the doctor in real time with the help of the wearable sensor. We propose that in the presence of Hierarchical Clustering Algorithms and adaptive neuo-fuzzy inference system (ANFIS) for identification and analysis of the data, the applied solutions could enhance the healthcare experience interaction among all the stakeholders.
  • The Development of ID System for Detecting Attacks in WSN Through Ontology Method and its Strategy
    M.Sahaya Sheela, Maninti Venkateswarlu, Cecil Donald, Padmaja Kadiri, Mazin R. Al-Hameed, et al.
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
  • Advancements in optical steganography for secure medical data transmission in telehealth systems
    Aparna Patange, K. V. Mahesan, C. Manjula, Cecil Donald, Suresh Babu, et al.
    Optical and Quantum Electronics, 2023
  • Lane Detection using Kalman Filtering
    R Subramani, K Suresh, Donald Cecil, C Vijayalakshmi
    Procedia Computer Science, 2023
  • The Role of Machine Learning Analysis and Metrics in Retailing Industry by using Progressive Analysis Pattern Technique
    K Suresh, A. Cecil Donald, R Subramani, Nismon Rio Robert
    Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2023, 2023
  • SARIMA Techniques for Predictive Resource Provisioning in Cloud Environments
    C. Rohith Bhat, B. Prabha, Cecil Donald, Swati Sah, Harshal Patil, et al.
    2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023
  • Prior Cardiovascular Disease Detection using Machine Learning Algorithms in Fog Computing
    Suresh K, Subramani R, Nismon Rio, Cecil Donald, Somnath Sinha, et al.
    2023 IEEE 3rd Mysore Sub Section International Conference Mysurucon 2023, 2023
  • Cloud security based attack detection using transductive learning integrated with Hidden Markov Model
    Yassine Aoudni, Cecil Donald, Ahmed Farouk, Kishan Bhushan Sahay, D. Vijendra Babu, et al.
    Pattern Recognition Letters, 2022
  • AROSTEV: A Unified Framework to Enhance Secure Routing in IoT Environment
    R. Stephen, A. Cecil Donald, A. Dalvin Vinoth Kumar, B. J. Hubert Shanthan, L. Arockiam
    Lecture Notes in Networks and Systems, 2022
  • TCAMTSA: Time and Cost based Scheduling Algorithm for Multi Cloud Systems
    B J Hubert Shanthan, A Cecil Donald, A Dalvin Vinoth Kumar, R Stephen, L Arockiam
    2021 7th International Conference on Advanced Computing and Communication Systems Icaccs 2021, 2021
  • A self compensated low pass gain circuit for biomedical applications
    B. Anthony Vincent, Raja Krishnamoorthy, Anna Devi, Cecil Donald, C. Bharatiraja, et al.
    Materials Today Proceedings, 2021
  • Priority Intensed Meta Task Scheduling Algorithm for Multi Cloud Environment (PIMTSA)
    BJ. Hubert Shanthan, L. Arockiam, A. Cecil Donald, A.Dalvin Vinoth Kumar, R. Stephen
    Journal of Physics Conference Series, 2020
  • Message from Conveners
    S. Pandian, C. Donald
    Journal of Physics Conference Series, 2018
  • Prediction of Investment Tendency Behaviour of Individuals with Social Networks by using Spatial Data Mining
    12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
  • Key based mutual authentication (KBMA) mechanism for secured access in mobicloud environment
    A. Cecil Donald, L. Arockiam
    Matec Web of Conferences, 2016
  • A secure authentication scheme for MobiCloud
    A. Cecil Donald, L. Arockiam
    2015 International Conference on Computer Communication and Informatics Iccci 2015, 2015

RECENT SCHOLAR PUBLICATIONS

  • Predictive analysis of lung cancer through multidimensional attributes
    S Didwania, C Donald, N Rio
    2026 International Conference on Next-Gen Quantum and Advanced Computing … , 2026
    2026
  • SharePort: A Cost Saving and Energy Efficient Ride-Sharing Application for Airport Commutes
    K Agarwal, C Donald, N Rio
    2026 4th International Conference on Intelligent Data Communication … , 2026
    2026
  • Reinforcement Learning for Quantum Phase Estimation Using Deep Q-Network
    B Sundharess, SS Gopika, C Donald
    2025 IEEE Madhya Pradesh Section Conference (MPCON), 316-321 , 2025
    2025
  • Genetically Optimized GAT Recommender
    RV Krishna, B Sundharess, T Sudhakar, C Donald, HK Joy, H Shanthan
    2025 IEEE International Conference on Electronics, Computing and … , 2025
    2025
  • Artificial Intelligence Technique Based Effective Disaster Recovery Framework to Provide Longer Time Connectivity in Mobile Ad-hoc Networks
    NR Robert, AC Donald, K Suresh
    International Journal of Computational andExperimental Science and … , 2025
    2025
    Citations: 8
  • Analyzing Market Factors for Stock Price Prediction using Deep Learning Techniques
    S K, A Sarkar, A Rai, A Vasishtha, T Fernandes, C Donald A
    2024 8th International Conference on I-SMAC (IoT in Social, Mobile … , 2024
    2024
  • A Quality of Service Study for Downlink Scheduling Algorithms in Mobile Networks
    R Krishnamoorthy, S Nagaraj, NR Robert, AC Donald, K Suresh, ...
    International Conference on Intelligent Systems Design and Applications, 436-443 , 2024
    2024
  • The Optimization of Output of Wind Turbine with the Ongoing Grid System through BP Method Using ANN
    B Prabha, C Donald, VK Dhandapani, SR Sura, RM Sayed, M Jweeg
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
    Citations: 1
  • The Development of ID System for Detecting Attacks in WSN Through Ontology Method and its Strategy
    MS Sheela, M Venkateswarlu, C Donald, P Kadiri, MR Al-Hameed, H Safi, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • The Integration of HMS using IOMT and CE Through ANFIS
    R Sreelakshmy, C Donald, G Rajaram, P Putta, SK Thajeel, H Hameed, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • A Secure Data Encryption Mechanism in Cloud Using Elliptic Curve Cryptography
    I Sudha, C Donald, S Navya, G Nithya, M Balamurugan, S Saravanan
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024
    Citations: 22
  • SARIMA Techniques for Predictive Resource Provisioning in Cloud Environments
    CR Bhat, B Prabha, C Donald, S Sah, H Patil
    2023 Intelligent Computing and Control for Engineering and Business Systems … , 2023
    2023
    Citations: 32
  • Prior Cardiovascular Disease Detection using Machine Learning Algorithms in Fog Computing
    K Suresh, R Subramani
    2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon), 1-6 , 2023
    2023
  • Stress Level Detection in Continuous Speech Using CNNs and a Hybrid Attention Layer
    R Subramani, K Suresh, AC Donald, K Sivaselvan
    International Conference On Innovative Computing And Communication, 367-382 , 2023
    2023
  • The role of machine learning analysis and metrics in retailing industry by using progressive analysis pattern technique
    K Suresh, AC Donald, R Subramani, NR Robert
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023
    Citations: 3
  • Lane detection using kalman filtering
    R Subramani, K Suresh, D Cecil, C Vijayalakshmi
    Procedia Computer Science 230, 598-607 , 2023
    2023
    Citations: 6
  • IoT based smart agriculture to avoid post harvest losses using machine learning algorithms
    S Narmadha, T Mohana Priya, R Rajesh Kanna, SK Cecil Donald
    Journal of Survey in Fisheries Sciences 10 (4), 1130-1138 , 2023
    2023
    Citations: 4
  • Cloud security based attack detection using transductive learning integrated with Hidden Markov Model
    Y Aoudni, C Donald, A Farouk, KB Sahay, DV Babu, V Tripathi, ...
    Pattern recognition letters 157, 16-26 , 2022
    2022
    Citations: 107
  • AROSTEV: A unified framework to enhance secure routing in IoT environment
    R Stephen, AC Donald, AD Vinoth Kumar, BJH Shanthan, L Arockiam
    Advances in Computational Intelligence and Communication Technology … , 2022
    2022
    Citations: 1
  • The Game of Game-Based Learning
    R Raj, C Donald, A Patil, M MY
    Handbook of Research on Acquiring 21st Century Literacy Skills Through Game … , 2022
    2022
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Cloud security based attack detection using transductive learning integrated with Hidden Markov Model
    Y Aoudni, C Donald, A Farouk, KB Sahay, DV Babu, V Tripathi, ...
    Pattern recognition letters 157, 16-26 , 2022
    2022.0
    Citations: 107
  • Handbook of cloud computing
    A Nayyar, R Jain, S Goel, S Bachlety, S Singh, S Tanwar, S Tyagi
    BPB , 2019
    2019.0
    Citations: 86
  • Mobile Cloud Security Issues and Challenges: A Perspective
    AC Donald, SA Oli, L Arockiam
    International Journal of Electronics and Information Technology 3 (1), 401-406 , 2013
    2013.0
    Citations: 56
  • SARIMA Techniques for Predictive Resource Provisioning in Cloud Environments
    CR Bhat, B Prabha, C Donald, S Sah, H Patil
    2023 Intelligent Computing and Control for Engineering and Business Systems … , 2023
    2023.0
    Citations: 32
  • A Comparative Analysis of Encryption Techniques and Data Security Issues in Cloud Computing
    AC Donald, N Hemalatha, A Jenis, L Arockiam
    International Journal of Computer Applications 96 (16), 1-6 , 2014
    2014.0
    Citations: 30
  • A Secure Data Encryption Mechanism in Cloud Using Elliptic Curve Cryptography
    I Sudha, C Donald, S Navya, G Nithya, M Balamurugan, S Saravanan
    2024 International Conference on Intelligent and Innovative Technologies in … , 2024
    2024.0
    Citations: 22
  • A secure authentication scheme for MobiCloud
    AC Donald, L Arockiam
    2015 International Conference on Computer Communication and Informatics … , 2015
    2015.0
    Citations: 14
  • Securing Data with Authentication in Mobile Cloud Environment: Methods, Models and Issues.
    AC Donald, L Arockiam
    International Journal of Computer Applications 94 (1), 25-29 , 2014
    2014.0
    Citations: 9
  • Artificial Intelligence Technique Based Effective Disaster Recovery Framework to Provide Longer Time Connectivity in Mobile Ad-hoc Networks
    NR Robert, AC Donald, K Suresh
    International Journal of Computational andExperimental Science and … , 2025
    2025.0
    Citations: 8
  • Priority intensed meta task scheduling algorithm for multi cloud environment (PIMTSA)
    BJH Shanthan, L Arockiam, AC Donald, AD Vinoth Kumar, R Stephen
    Journal of Physics: Conference Series 1427 (1), 012007 , 2020
    2020.0
    Citations: 8
  • Lane detection using kalman filtering
    R Subramani, K Suresh, D Cecil, C Vijayalakshmi
    Procedia Computer Science 230, 598-607 , 2023
    2023.0
    Citations: 6
  • Tcamtsa: Time and cost based scheduling algorithm for multi cloud systems
    BJH Shanthan, AC Donald, ADV Kumar, R Stephen, L Arockiam
    2021 7th International Conference on Advanced Computing and Communication … , 2021
    2021.0
    Citations: 5
  • IoT based smart agriculture to avoid post harvest losses using machine learning algorithms
    S Narmadha, T Mohana Priya, R Rajesh Kanna, SK Cecil Donald
    Journal of Survey in Fisheries Sciences 10 (4), 1130-1138 , 2023
    2023.0
    Citations: 4
  • Medical image Detection & Privacy Management with Elliptic Curve GOPSO cryptographic optimization technique on the internet of health things
    BJH Shanthan, AS Bist, D VijendraBabu
    2021.0
    Citations: 4
  • Key based mutual authentication (KBMA) mechanism for secured access in MobiCloud environment
    AC Donald, L Arockiam
    MATEC Web of Conferences 40, 09002 , 2016
    2016.0
    Citations: 4
  • The role of machine learning analysis and metrics in retailing industry by using progressive analysis pattern technique
    K Suresh, AC Donald, R Subramani, NR Robert
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023.0
    Citations: 3
  • The Game of Game-Based Learning
    R Raj, C Donald, A Patil, M MY
    Handbook of Research on Acquiring 21st Century Literacy Skills Through Game … , 2022
    2022.0
    Citations: 3
  • ORBUA: An Effective Data Access Model for MobiCloud Environment
    AC Donald, A L, S K
    International Journal of Pure and Applied Mathematics 118 (8), 79-85 , 2018
    2018.0
    Citations: 3
  • An Authentication Mechanism to Enhance Security in the Cloud Environment
    AC Donald, A Jenis, L Arockiam
    International Journal of Current Engineering and Technology 4 (5) , 2014
    2014.0
    Citations: 3
  • s. Aml Oli, L. Arockiam, Mobile Cloud Security Issues and Challenges
    AC Donald
    International Journal of Engineering and Innovative Technology (IJEIT) Volume 3 , 0
    Citations: 3