Dr. B. Dhiyanesh
Associate Professor
Department of Computer Science & Engineering – Emerging Technologies
Contact Information
Email : dhiyaneb@srmist.edu.in
- Ph.D., Cloud Computing, Anna University, Chennai, 2017
- M.Tech., Computer Science & Engineering. PRIST University, Chennai, 2012
- B.Tech., Information Technology. Anna University, 2008
- Data Structures
- Design and Analysis of Algorithm
- Computer Networks
- Cryptography and Network Security
- Cloud Computing
- Machine Learning
- Security
- B.Dhiyanesh, “CADC-FPRLE: Content-aware deduplication clustering analysis using file partitioning and a running length encoder for cloud storage optimization”, Journal of Intelligent & Fuzzy Systems, 2024. [Web of Science]
- B.Dhiyanesh, “Identifying cancer risks using spectral subset feature selection based on multi-layer perception neural network for premature treatment”, Computer Methods in Biomechanics and Biomedical Engineering, 2023. [Web of Science]
- B.Dhiyanesh, “Cloud computing and machine learning for analysis of health care data based on neuro fuzzy logistic regression”, Journal of Intelligent & Fuzzy Systems, 2023. [Web of Science]
- B.Dhiyanesh, “Iterative Dichotomiser Posteriori Method Based Service Attack Detection in Cloud Computing.”, Computer Systems Science & Engineering, 2023[Web of Science]
- B.Dhiyanesh, “Optimized virtual network function provisioning technique for mobile edge cloud computing”, Journal of Ambient Intelligence and Humanized Computing, 2021[Web of Science]
- B Dhiyanesh, “Advanced Cloud-Based Prediction Models for Cardiovascular Disease: Integrating Machine Learning and Feature Selection Techniques”, SN Computer Science, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Fuzzy Logic In The Digital Travel Era: Enhancing Tourist Experience Through Comprehensive Hotel Reviews And Sentiment Analysis”,Journal of Electrical Systems, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Enhanced Detection of Chronic Heart Disease: A Novel Approach With Extreme Gradient Boosting-Logistic Regression Algorithm, Journal of Electrical Systems, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Enhancing Chronic Kidney Disease Diagnosis with an Optimized Fuzzy Deep Neural Network: A Polycystic Kidney Disease Perspective”, International Journal of Intelligent Systems and Applications in Engineering, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Optistroke: Harnessing Bat Algorithm-Driven Stacked Ensembles for Enhanced Stroke Prediction Using Machine Learning”, International Journal of Intelligent Systems and Applications in Engineering, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Efficient Coronary Heart Disease Prediction: Enhanced Neural Network with Chaos Salp Decision and Feature Optimization”, International Journal of Intelligent Systems and Applications in Engineering, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Integrative Approach for Precision Prediction of Chronic Kidney Disease: Anfis-Based Feature Selection and DCNN Classification”, International Journal of Intelligent Systems and Applications in Engineering, 2024[Scopus Indexed]
- B.Dhiyanesh, “Early Risk Prediction of Diabetes Categorization Using Fuzzy K-Means Clustering Algorithm”, International Journal of Intelligent Systems and Applications in Engineering, 2024. [Scopus Indexed]
- B.Dhiyanesh, “A Hybrid Recommendation Engine Based On Boltzmann Machine and Auto Encoders”, Journal of Xi’an Shiyou University, Natural Science Edition, 2021. [Scopus Indexed]
- B.Dhiyanesh, “UBP-Trust: User Behavioral Pattern Based Secure Trust Model for Mitigating Denial of Service Attacks in Software as a Service (SaaS) Cloud Environment”, Journal of Computational and Theoretical Nanoscience, 2017. [Scopus Indexed]
- B.Dhiyanesh, “LFTSM-Local Flow Trust Based Service Monitoring Approach for Preventing the Packet During Data Transfer in Cloud”, Asian Journal of Information Technology, 2016.
- B.Dhiyanesh, “F2C: an novel distributed denial of service attack mitigation model for SAAS cloud environment”, Asian Journal of Research in Social Sciences and Humanities. 2016.
- B.Dhiyanesh, “Deep Short-Term Long Memory Technique for Respiratory Lung Disease Prediction” International Conference on Image Processing and Capsule Networks, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Adaptive Deep Recurrent Neural Network-Based COVID-19 Healthcare Data Prediction for Early Risk Prediction”, Inventive Systems and Control: Proceedings of ICISC 2023, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Maximum decision support regression-based advance secure data encrypt transmission for healthcare data sharing in the cloud computing”, Inventive Systems and Control: Proceedings of ICISC 2023, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning”, International Conference on Information, Communication and Computing, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Deep Learning-Based Continuous Glucose Monitoring with Diabetic Prediction Using Deep Spectral Recurrent Neural Network”, International Conference on Information, Communication and Computing, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Advanced Skin Category Prediction System for Cosmetic Suggestion using Deep Convolution Neural Network”, 2023 7th International Conference on Intelligent Computing and Control, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Intelligent loan eligibility and approval system based on random forest algorithm using machine learning”, 2023 International Conference on Innovative Data Communication Technologies, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Machine Learning Models For Prediction of Comorbidities of Diabetes Using Convolutional Neural Network”, 2023 International Conference on Innovative Data Communication Technologies, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Lung Ultrasound COVID-19 detection using deep feature recursive neural network”, Intelligent Sustainable Systems: Proceedings of ICISS 2022, 2022.
- B.Dhiyanesh, “Effective DDoS attack detection using deep generative radial neural network in the cloud environment”, 2022 7th international conference on communication and electronics systems, 2022. [Scopus Indexed]
- B.Dhiyanesh, “Detection of lung ultrasound covid-19 disease patients based convolution multifacet analytics using deep learning”, 2022 second international conference on artificial intelligence and smart, 2022. [Scopus Indexed]
- B.Dhiyanesh, “A subset scaling recursive feature collection based DDoS detection using behavioural based ideal neural network for security in a cloud environment”, Procedia Computer Science 215, 2022. [Scopus Indexed]
- B.Dhiyanesh, “Effective attribute selection and classification technique for phishing attacks detection”, 2021 5th International Conference on Electronics, Communication, 2022. [Scopus Indexed]
- B.Dhiyanesh, “Improved object detection in video surveillance using deep convolutional neural network learning”, 2021 Fifth International Conference on I-SMAC, 2021. [Scopus Indexed]
- B.Dhiyanesh, “Analysis of lung cancer detection based on the machine learning algorithm and IOT”, 2021 6th International Conference on Communication and Electronics System, 2021. [Scopus Indexed]
- B.Dhiyanesh, “Brain Tumor Detection Using Deep Learning Neural Network for Medical Internet of Things Applications”, 2021 6th International Conference on Communication and Electronics Systems, 2021. [Scopus Indexed]
- 404738 – Wireless Touch Laser Presenter – Granted
- 400049 -Solar Powered Agriculture Robot – Granted
- 397813 – Smart Spectacles with Projector – Granted
- 393124 -Ceiling Light – Granted
- 388292 – Portable Printer – Granted
- 388293 – Solar Powered Surveillance Camera – Granted
- 370741 – Document Scanner – Granted
- Complied book on “Programming in C “, published in Tata Mcgraw Hill – 2020, ISBN Number: 9781307548815
- Written book on “Programming in Python – Lab Book “, published in Tata Mcgraw Hill – 2018, ISBN Number: 978-93-5316-854-4
- Complied book on “Programming in C & C++ “, published in Tata Mcgraw Hill – 2018, ISBN Number: 9789353165369.
- B.Dhiyanesh, “Federated Learning for Efficient Cardiac Disease Prediction based on Hyper Spectral Feature Selection using Deep Spectral Convolution Neural Network”, Handbook on Federated Learning, 2024. [Scopus Indexed]
- B.Dhiyanesh, “Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Using U-Net CNN for Sustainable Crop Recommendation”, Drone Data Analytics in Aerial Computing, 2023
- B.Dhiyanesh, “IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveillance Sensing Unit Using Feature Selection and Classification Techniques”, Drone Data Analytics in Aerial Computing, 2023
- B.Dhiyanesh, “Improved Privacy of Data Transaction in IoT-Enabled Blockchain Technology Using Privacy-Based Machine Learning Algorithms”, Revolutionizing Digital Healthcare Through Blockchain Technology, 2023. [Scopus Indexed]
- B.Dhiyanesh, “Resource management framework using deep neural networks in multi-cloud environment”, Operationalizing Multi-Cloud Environments: Technologies, Tools and Use Cases, 2022. [Scopus Indexed]
Conducted:
FDP | Seminar/Webinar | Workshop | Symposium | Guest Lecture | Camp |
3 | 9 | 1 | 03 | 02 | 1 |
Attended:
FDP | Workshops | Seminars |
14 | 16 | 10 |
- Entrepreneurship: Navigating the Path to Success at Dr.N.G.P. Arts and Science College, Coimbatore
- Design and Analysis of Algorithm at Narasu’s Sarathy Institute of Technology, Salem
- Flow Frequency Completeness Model for Mitigating Distributed Denial of Services Attack in Cloud Environment at Sona College of Technology, Salem
- Basic Computational Skills and MS – Office Package at Vivin Controls Private Limited, Coimbatore
- Security in Cloud Computing at Easa College of Engineering and Technology, Coimbatore
- Basics Computer Course at Electro Meck Industries, Coimbatore
- Fundamentals in C Programming at Nehru Institute of Engineering and Technology, Coimbatore
- Programming Tips for Facing the Technical Interview on Data Structures Sengunthar Engineering College, Tiruchengode
- NPTEL – Ethical Hacking – ELITE
- NPTEL – Psychology of Learning – ELITE + Sliver
- Associate Professor/CSE, Dr. N.G.P. Institute of Technology, Coimbatore, July 2022 – July 2024 (2 years)
- Associate Professor/CSE, Hindusthan College of Engineering and Technology, Coimbatore, June 2013 – July 2022. (9 Years)
- Assistant Professor/CSE, Nehru Institute of Engineering and Technology, Coimbatore, June 2012 – May 2013. (1 Year)
- Lecturer/CSE, Sengunthar Engineering College, Tiruchengode, June 2011 – May 2012. (1 Year)
- Lecturer/CSE, King College of Technology, Namakkal, Jan. 2010 – May 2011. (1 year & 4 months)
- Lecturer/CSE, Varuvan Vadivelan Institute of Technology, Dharmapuri, Aug. 2008 – Jan. 2010. (1 year & 6 months)
- Received the Appreciation Award Title of “Excellence in Reviewing” on March 2023 at Elsevier – Future Generation of Computer Systems.
- Received the Appreciation Award Title of “Institution Image Building” held on 15th September 2021 at Hindusthan Group of Institutions, Coimbatore.
- Act as Jury on “Nehru Group of Institutions, Best Faculty Award 2019” on 1st December 2019.
- Received the Award Title of “Best Faculty Award” held on 11th January 2020 at Nature Science Foundation.
- Received the Award Title of “Academic Excellence Award 2020” at Institute of Scholars Bangalore.
- Received the Award Title of “Dedicated Teaching Faculty Award” held on 4th & 5th October 2019 at Assumption University of Thailand.
- Certificate of Appreciation for 100% result in the subject “16CP2307 – Cloud Computing, CP7026 – Software Quality Assurance, 16CS3231 – Data Structures and Algorithms” in the academic year 2015 -2016, 2016 -2017 and 2018 – 2019 at Hindusthan College of Engineering and Technology, Coimbatore.
- Chief Organizer for India Records Academy “The Maximum Number of People Thumbprint Painting National Flag Simultaneously Counted to 1242 participants on 13th August 2016” at Hindusthan College of Engineering and Technology, Coimbatore.
- Chief Steward for Elite World Records “The Most Number of People Thumbprint Painting National Flag Simultaneously Counted to 1242 participants on 13th August 2016” at Hindusthan College of Engineering and Technology, Coimbatore.
- Certificate of Appreciation for 100% result in the subject “Open-Source Software” in the academic year 2010 – 2011 at King College of Technology, Namakkal
- Won the National Award for the Best B.Tech Project on the Title “Secure Biometric Electronic Voting System” Organized by Indian Society for Technical Education, New Delhi, in the year 2007.
- Honored with Best B. Tech “Student Project Award” by SSM College of Engineering, Komarapalayam, in the academic year 2008.
- Member of IFERP – PM10879564
- Member of IAENG (International Association of Engineers) – 113116.
- Member of Internet Society – 68193.
- Member of CSTA (Computer Science Teachers Association) – 3065644.
- NIL