Department of Computer Science & Engineering (Emerging Technologies)
Degree
Specialization
University/Institute Name, Year
Ph.D.
Cloud Computing
Anna University, Chennai,
2017
M.Tech.
Computer Science & Engineering
PRIST University, Chennai,
2012
B.Tech.
Information Technology
Anna University,
2008
Cloud Computing
Machine Learning
Security
Data Structures
Design and Analysis of Algorithm
Computer Networks
Cryptography and Network Security
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.
Dhiyanesh B. (2025). Energy harvesting using piezoelectric sensors for extremely low-power Internet of Things use cases. Mechanics of Advanced Materials and Structures, 2608935. [SCI Indexed]
Dhiyanesh, B (2025). Enhanced Parkinson's disease prediction using LDEFS feature selection and Mamdani fuzzy neural network. Frontiers in Aging Neuroscience, 17, 1665590. [SCI Indexed]
Dhiyanesh B (2025). Softmax Logical Gated Convolutional Neural Network For Efficient And Accurate Detection Of Multiple Myeloma In Microscopic Images. TPM–Testing, Psychometrics, Methodology in Applied Psychology, 32(S4 (2025): Posted 17 July), 270-284. [Scopus Indexed]
Dhiyanesh, B (2025). Enhancing Brain Tumor Diagnosis With Hybrid Transfer Learning: A High-Precision Mri-Based Segmentation Model Using Mask R-CNN. TPM–Testing, Psychometrics, Methodology in Applied Psychology, 32(S4 (2025): Posted 17 July), 389-400. [Scopus Indexed]
Dhiyanesh B (2025). EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques. Scientific reports, 15(1), 17892. [SCI Indexed]
Dhiyanesh B. (2025). Securing The Cloud: Securing Virtualized Systems With Modified-Aes Algorithm In Cache-Based Attacks. Journal of applied mathematics & informatics, 747-759. [SCI Indexed]
Dhiyanesh B (2024). Federated Learning for Heart Disease Detection Using a Grey Wolf Transfer Learning Model Based on Multi-perceptron Neural Networks. In Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (pp. 304-327). Chapman and Hall/CRC. [Scopus Indexed]
Dhiyanesh B (2024). Enhancing Machine Learning Model Efficiency Through Modified Lda Feature Reduction For Disease Diagnosis. Journal of applied mathematics & informatics, 42(6), 1275-1291. [SCI Indexed]
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]
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
