Dr. H. Lilly Beaulah became as Assistant Professor of Vinayaka Missions Kirupananda Variyar Engineering College, Salem in the year 2003. She started her Educational career with a Diploma in Electronics and Communication Engineering from Church of South India Polytechnic College, Salem, Tamilnadu, India. She completed her under graduate in Information System (BS) from Birla Institute of Technology and Sciences (BITS) Pilani in the year 1999. Acquired her Post graduation with Honors in Information Technology (M.Tech) from Punjabi University, Patiala, Rajasthan. She has been awarded Ph.D., for her work in Information Technology at Vinayaka Missions University, Salem. She is a member of many professional bodies like ISTE, Computer Society of India etc. She presented many papers on Telemedicine, Bio-imaging in various National and International Conferences and Journals.
EDUCATION
M.Tech , PhD in IT
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Computer Networks and Communications, Computer Science, Information Systems
9
Scopus Publications
90
Scholar Citations
4
Scholar h-index
4
Scholar i10-index
Scopus Publications
Reliable Communication Through Energy-Efficient Congestion Control Mechanism Utilizing Deep Learning and Meta-Heuristic Optimization in Wireless Multimedia Sensor Networks Moses Angeline Felicia, Rajamani Samson Ravindran, Hendry Lilly Beaulah, Thangaraj Kesavan International Journal of Communication Systems, 2025 Wireless Multimedia Sensor Networks (WMSNs) are plagued with issues of battery life limitation and congestion, which lead to packet loss, energy consumption, and delay. In this paper, an energy‐aware congestion control architecture named OCNN‐TDO‐WMSN, combining Orthogonal Convolutional Neural Networks (OCNN) and Tasmanian Devil Optimization (TDO), is proposed. The system uses a rate‐based congestion control with cluster routing to reduce energy and delay. Double Fuzzy Clustering‐driven Context Neural Networks (DFCCNN) are employed for clustering, OCNN for cluster head election, and TDO for adaptive packet rate adaptation. Throughput is additionally enhanced through the use of a Semi‐Decentralized Energy Routing Algorithm (SDERA). The proposed method is simulated in NS‐3 and is tested with parameters of energy consumption, lifetime, delay, throughput, packet delivery ratio (PDR), and reliability. Results indicate that OCNN‐TDO‐WMSN reaches a throughput of 50 Kbps and a PDR of 95%, better than the current methods.
A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud environment for the application of telecommunication technologies S. P. Santhoshkumar, H. Lilly Beaulah, Abdulrahman Saad Alqahtani, P. Parthasarathy, Azath Mubarakali Computational Intelligence, 2024 Voice signal analysis and identification of disease framework for Parkinson's disease (PD) is most required thing in the past few years. A new framework for determination and identification of PD is the world's most severe neurological disorder, was proposed in this article. It is the most dangerous infection which disables individuals' discourse, and different attributes, for example feelings and sensation. In this work, we initially examined about a new approach for determining the PD. Second, we proposed cloud based storage architecture for securing data in cloud computing environment. Cloud based system for distinguishing and checking Parkinson infection will expand its significance in social insurance benefit in low asset setting and security examination. This structure guarantees effective handling of huge information in distributed computing condition and acquires business experiences. In the creating nations, where the greater part of the general population does not get appropriate social insurance benefits and are not concerned of Parkinson's sickness, not to mention recognizing and getting human services for PD, this framework can be extremely commonsense and helpful. The framework, PD affected patient can be effortlessly identified as well as analyzed by giving their voice tests over their telephones. The proposed frameworks are profited to accomplish 95.8% precision in the cloud condition for recognizing PD. It is normal that the proposed system will possibly empower social insurance benefit for PD patients, who live in remote territories.
BIG DATA CONGESTION ANALYTICS THROUGH QUALITY OF SERVICE FOR CROWDSOURCE USING DEEP LEARNING ALGORITHMS IN HEALTHCARE ENVIRONMENT Journal of Environmental Protection and Ecology, 2023
Lung Melanoma Recognition through Platelet Count Composition Using Supervised ML Technique H.Llilly Beaulah, R Revathi, J Deepika, A.Sheryl Oliver, R. Krishnamoorthy, R. Thiyagarajan Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022 Blood samples are used to diagnose the health illness in the human body. Complete blood routine test is used as whole-body screening to detect illness in human body. Highly sensitive diagnosis can be detected by blood count such as by using RBC, RNA [12], WBC, DNA, platelet count or even protein biomarkers. Biopsies of liquid blood sample are effectively used nowadays even to detect diagnosis of cancer. By determining the routine indices of blood samples, lung carcinoma can be detected. Rather than using PET scan which is high in cost, Lung carcinoma can be detected by blood indices samples. Machine Learning can be used to decipher the multiple ranges of statistical data by using svm (support vector machine) technique from supervised learning framework. This technique can be used for identification purpose both in clinical research and by patients respectively. From the detailed report, physicians can aid the treatment cycle for the patient. Each patient's report is sent to their registered phone number via SMS using Sim900 with Arduino Uno sensor. The generated detailed report is sent to the registered mobile number as short messaging service. In this approach, advanced way of using blood indices to identify the lung carcinoma is been developed.
A wavelet transform based pseudo color enhancement of images in digital mammography International Medical Journal, 2021
Telemedicine technology in wireless network International Journal of Applied Engineering Research, 2015
Analysis of early myocardial infraction detection using discrete wavelet transform International Journal of Applied Engineering Research, 2014
3D reconstruction and pseudo coloring of images in digital mammography Lilly Beaulah, Sumathi Raj, Samson Ravindran International Review on Computers and Software, 2014 Mammography is radiological technique alone, which is used to image breast tissues as it was known for the past two decades till 1966, meaningful solutions to reduce the pain making diagnosis and also suggested effective methods to detect breast carcinoma at the earliest possible time. Mammography is the leading method for breast imaging today. Here we will be arriving a methodology by taking two plain film (x-ray) mammography at an angle 45º / 90º between two and collect the details in digital form in a computer for segmentation and reconstruction. The application of Pseudocolouring with the help of Photoshop colour policies will use to separate the carcinoma and to apply various colours for the calcifications in gray scale for better perception and understanding, and improve the diagnostic quality. Because any human eye can easily differentiate the colours, the shape size and location of the occult carcinoma must easily detect. Also the 3D mammographic breast imaging techniques with the help of Pseudocolouring have potentials for both early cancer detection and diagnosis.
RECENT SCHOLAR PUBLICATIONS
Reliable Communication Through Energy-Efficient Congestion Control Mechanism Utilizing Deep Learning and Meta-Heuristic Optimization in Wireless Multimedia Sensor Networks TK Moses Angeline Felicia, Rajamani Samson Ravindran, Hendry Lilly Beaulah International Journal of Communication Systems 38 (16), 1-22 , 2025 2025
A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud environment for the … SP Santhoshkumar, HL Beaulah, AS Alqahtani, P Parthasarathy, ... COMPUTATIONAL INTELLIGENCE , 2024 2024
Retracted: A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud … SP Santhoshkumar, HL Beaulah, AS Alqahtani, P Parthasarathy, ... Computational Intelligence 40 (1), e12508 , 2024 2024 Citations: 15
A Study on Scope of Artificial Intelligence in Diagnostic Medicine MKS Mr. S. P. Santhoshkumar, Dr. H. Lilly Beaulah Recent Research Reviews Journal (ISSN: 2583-7079) https://irojournals.com … , 2023 2023 Citations: 13
Visual experience recognition using adaptive support vector machine SP Santhoshkumar, MP Kumar, HL Beaulah Trends in Computer Science and Information Technology 6 (3), 072-076 , 2021 2021
COMPARATIVE ANALYSIS OF GENETIC ALGORITHM-SUPPORT VECTOR MACHINE AND DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORK FOR BRAIN TUMOR DETECTION AND CLASSIFICATION. DM Mahalakshmi, S Sumathi ICTACT Journal on Image & Video Processing 10 (4) , 2020 2020
Data Communication and Networking MAR Dr.H.Lilly Beaulah, L.Vinith Sree, V.Deep 2020
System for Optimizing 8D Audio signals in a pairb of 3D spectacls DHL Beaulah ID Patent 1,970 , 2019 2019
Implementation of new novel design real time abnormal motion detection scheme for video surveillance. DHLBSP Santhoshkumar International Journal of Engineering Applied Sciences and technology 3 , 2019 2019
IOT Based Small Irrigation Monitoring System Employing with AI Screening for Soil Moisture DHL Beaulah ID Patent 4,850 , 2019 2019
Ensuring Security Using Core Based Routing Algorithm In Wireless Sensor Networks A Mubarakali, D Mavaluru Revista Publicando 5 (15 (2)), 1051-1061 , 2018 2018
RECENT ADVANCES AND EMERGING APPLICATION CHALLENGES OF FEATURE SELECTION FOR VIRTUAL LEARNING. D Mavaluru, R Mythily, A Mubarakali Ad Alta: Journal of Interdisciplinary Research 8 (1) , 2018 2018
Cardiovascular Pharmacology: Open Access S Sumathi 2018
Optimal tuning of PID controller for AVR system using modified particle swarm optimization K Elumalai, S Sumathi Advances in Natural and Applied Sciences 11 (6 SI), 322-330 , 2017 2017
Fueling the Future: A look at an alternative fuels in India JS Dr. H. Lilly Beaulah, Mrs. Latha P S International Journal of Advance Research in Computer Science and Management … , 2017 2017
Evaluating the Performance of Automatic Sunspot Detection Algorithms using Full-Disk Solar Images V Deepa, H Beaulah, P Shanmugapriya IJSMC 5, 199-205 , 2016 2016 Citations: 3
Uncertain finding of Roof-Holes due to Earthquake-Triggered from UAV Images by Using Support Vector Machine S Sumathi, S Ramani 2016
Design of a New Energy Efficient L4 Leach Protocol based Visual Sensor Network for Forest Monitoring System HL Beaulah, K Thangaraj, M Chitra Asian Journal of Research in Social Sciences and Humanities 6 (7), 662-671 , 2016 2016 Citations: 1
Telemedicine Technology in Wireless Networks DRSR Dr.H.Lilly Beaulah, Dr.Sumathi Raj International Journal of Applied Engineering Research 10, 4761-4773 , 2015 2015
An Improved Privacy Policy Inference over the Socially Shared Images in Social Web Sites KA Dr. H.Lilly Beaulah International Journal of Innovative Research in Computer and Communication … , 2015 2015
MOST CITED SCHOLAR PUBLICATIONS
A wavelet transform based feature extraction and classification of cardiac disorder S Sumathi, HL Beaulah, R Vanithamani Journal of medical systems 38 (9), 98 , 2014 2014 Citations: 43
Retracted: A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud … SP Santhoshkumar, HL Beaulah, AS Alqahtani, P Parthasarathy, ... Computational Intelligence 40 (1), e12508 , 2024 2024 Citations: 15
Image Denoising for different noise models by various filters: A Brief Survey A Vijayalakshmi, C Titus, HL Beaulah International Journal of Emerging Trends & Technology in Computer Science … , 2014 2014 Citations: 15
A Study on Scope of Artificial Intelligence in Diagnostic Medicine MKS Mr. S. P. Santhoshkumar, Dr. H. Lilly Beaulah Recent Research Reviews Journal (ISSN: 2583-7079) https://irojournals.com … , 2023 2023 Citations: 13
Evaluating the Performance of Automatic Sunspot Detection Algorithms using Full-Disk Solar Images V Deepa, H Beaulah, P Shanmugapriya IJSMC 5, 199-205 , 2016 2016 Citations: 3
Design of a New Energy Efficient L4 Leach Protocol based Visual Sensor Network for Forest Monitoring System HL Beaulah, K Thangaraj, M Chitra Asian Journal of Research in Social Sciences and Humanities 6 (7), 662-671 , 2016 2016 Citations: 1
Reliable Communication Through Energy-Efficient Congestion Control Mechanism Utilizing Deep Learning and Meta-Heuristic Optimization in Wireless Multimedia Sensor Networks TK Moses Angeline Felicia, Rajamani Samson Ravindran, Hendry Lilly Beaulah International Journal of Communication Systems 38 (16), 1-22 , 2025 2025
A remote diagnosis of Parkinson's ailment using artificial intelligence based BPNN framework and cloud based storage architecture for securing data in cloud environment for the … SP Santhoshkumar, HL Beaulah, AS Alqahtani, P Parthasarathy, ... COMPUTATIONAL INTELLIGENCE , 2024 2024
Visual experience recognition using adaptive support vector machine SP Santhoshkumar, MP Kumar, HL Beaulah Trends in Computer Science and Information Technology 6 (3), 072-076 , 2021 2021
COMPARATIVE ANALYSIS OF GENETIC ALGORITHM-SUPPORT VECTOR MACHINE AND DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORK FOR BRAIN TUMOR DETECTION AND CLASSIFICATION. DM Mahalakshmi, S Sumathi ICTACT Journal on Image & Video Processing 10 (4) , 2020 2020
Data Communication and Networking MAR Dr.H.Lilly Beaulah, L.Vinith Sree, V.Deep 2020
System for Optimizing 8D Audio signals in a pairb of 3D spectacls DHL Beaulah ID Patent 1,970 , 2019 2019
Implementation of new novel design real time abnormal motion detection scheme for video surveillance. DHLBSP Santhoshkumar International Journal of Engineering Applied Sciences and technology 3 , 2019 2019
IOT Based Small Irrigation Monitoring System Employing with AI Screening for Soil Moisture DHL Beaulah ID Patent 4,850 , 2019 2019
Ensuring Security Using Core Based Routing Algorithm In Wireless Sensor Networks A Mubarakali, D Mavaluru Revista Publicando 5 (15 (2)), 1051-1061 , 2018 2018
RECENT ADVANCES AND EMERGING APPLICATION CHALLENGES OF FEATURE SELECTION FOR VIRTUAL LEARNING. D Mavaluru, R Mythily, A Mubarakali Ad Alta: Journal of Interdisciplinary Research 8 (1) , 2018 2018
Cardiovascular Pharmacology: Open Access S Sumathi 2018
Optimal tuning of PID controller for AVR system using modified particle swarm optimization K Elumalai, S Sumathi Advances in Natural and Applied Sciences 11 (6 SI), 322-330 , 2017 2017
Fueling the Future: A look at an alternative fuels in India JS Dr. H. Lilly Beaulah, Mrs. Latha P S International Journal of Advance Research in Computer Science and Management … , 2017 2017
Uncertain finding of Roof-Holes due to Earthquake-Triggered from UAV Images by Using Support Vector Machine S Sumathi, S Ramani 2016
