Associate Professor
Computer Science and Engineering
Anna University , Chennai
18
Knowledge Visualization, Cross-disciplinary Collaboration, Digital Identity Building
Machine Learning , Image Processing , Data Mining
Ph.D in Computer Science & Engineering, Anna University, Chennai
M.E in Computer Science & Engineering, Anna University, Chennai
Associate Professor at , from 2025-10-13 to Till Date.
PG
UG
Kalaivani.K “Maximum Ambiguity for Probability Estimation Based Sample Selection in Decision Tree”, International Journal of Electronics Communication and Computer Engineering (IJECCE), ISSN (Online Journal): 2249- 071X, ISSN (Print): 2278 – 4209, 6th march 2013.
Kalaivani.K “Analysis of Big Data with Data Mining Using Hace Theorem”, Journal of Recent Research in Engineering and Technology, ISSN (Online): 2349 –2252, ISSN (Print):2349 –2260 Volume 2 Issue 4 Apr 2015.
Kalaivani.K “Diabetes Diagnosis Classification Achieved using Decision Tree” International Journal of Advanced Engineering and Recent Technology ISSN (Online): 2455 3522 Volume 7 Issue 1 PP: 144 – 148 May 2016.
Kalaivani.K “SHAPE MINING: A UNIVERSAL DATA MINING APPROACH FOR INDUSTRIAL DESIGN” International Journal of Advanced Engineering and Recent Technology ISSN (Online): 2455 3522 Volume 7 Issue 1 PP: 176- 180 May 2016.
Kalaivani K and N. Uma Maheshwari R 2017 ,’Cuckoo Optimization and Fuzzy Logic Classifier with an Enhanced Stacking Algorithm’, International Journal of Pure and Applied Mathematics Volume 117 No. 8 2017, 155-160 ISSN: 1311-8080 (printed version); ISSN: 1314-3395
Kalaivani K and N. Uma Maheshwari R 2020 ‘An Exhaustive Survey on Meta-Heuristic Algorithms for Unimodal and Multimodal Optimization’ International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 22783075, Volume-9 Issue-3
Kalaivani K and N. Uma Maheshwari. R 2017 ‘A review of classification methods and algorithm in prediction of heart disease in the area of big data’ Advances in Natural and Applied Sciences, American-Eurasian Network for Scientific Information vol. 11, no. 7, ISSN: 1995-0772EISSN: 1998 1090: pages 486-491
K. Kalaivani and N. U. Maheswari, "Predicting disease using information integration platform for large data," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, 2017, pp. 971-975, doi: 10.1109/ICECDS.2017.8389581. (IEEE Xplore)
Kalaivani K, Vidhya V & Veerammal V, R 2020 ‘Smart Irrigation System with IOT Monitoring and Notification in Indian Agriculture’. Journal of Critical Reviews; 7(14): ISSN: 2394-5125 4055-4061, Vol: 7, Issue: 14.
K Kalaivani, N UM, R V. Classification of Heart Disease Using MFO Based Neural Network on MRI Current Image Medical Imaging. 2021;17(9):1114-1127, 10.2174/1573405617666210126153920. PMID: 33573572
Kalaivani, K., Uma Maheswari, N., & Venkatesh, R. (2022). Heart disease diagnosis using optimized features of hybridized ALCSOGA algorithm and LSTM classifier. Network: Computation in Neural Systems, 33(1–2), 95–123. https://doi.org/10.1080/0954898X.2022.2061062.
Dr.K.Kalaivani, Dr Ganapriya K , Dr PoobalanA, Mr.N.Balamurugan,” ENHANCED DEEP LEARNING ALGORITHM FOR TUMOUR PREDICTION”, Advanced Engineering Science, ISSN: 2096-3246 Volume 54, Issue 02, November 2022 , 3797
Kalaivani, K. & Nandhini, N. & Gottimukkala, Anantha & Dixit, Avadhesh & Sridharan, K. & Bhende, Dr. Manisha. (2023). Patient Monitoring System Using Deep Learning Algorithms To Recommend Physical Exercise. 315-319. 10.13052/rp-9788770040723.063.
Dr. C Raghavendra Reddy, Dr. K Kalaivani, Dr. V V Parthu, M.N.Sreedhar, Mr Maruthi Kumar, Tuijin Jishu/Journal of Propulsion Technology ISSN: 1001-4055 Vol. 44 No. 4 (2023) Page 5136 Structuring Scientific Papers Using Language Elements of Style.
Reddy, N. ., K, Kalaivani. ., Prasanthi, K. N. ., Azmal, S. M. ., & Teja, P. R. . (2024). Enhancing 5G Networks with D2D Communication: Architectures, Protocols, and Energy-Efficient Strategies for Future Smart Cities. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 168–174. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4359
Ganapriya, K., Poobalan, A., Kalaivani, K. & Gopinath, S. (2024). Performance Improvement for Reconfigurable Processor System Design in IoT Health Care Monitoring Applications. Tehni?ki vjesnik, 31 (1), 222-227. https://doi.org/10.17559/TV-20230614000734.
K. Ganapriya, A. Poobalan, K. Kalaivani, Dr .M.Jeyalakshmi , Microwave Bone Imaging: Simulation and Experimental Study using Monopole Antenna ,Vol. 13 No. 3 (2024) (Published: 10 09-2024) DOI: https://doi.org/10.52783/fhi.vi.1065
A.Poobalan, K. Ganapriya, K. Kalaivani, K. Parthiban, A novel and secured email classification using deep neural network with bidirectional long short-term memory, Computer Speech & Language, Volume 89, 2025, 101667, ISSN 0885-2308, https://doi.org/10.1016/j.csl.2024.101667.
AKB, C S P, DR K K RAO, DR O. R D, DR KALAIVANI K, K S, DR. CHANDANAPALLI, Generating Optimal Test Cases Using Elitist Genetic Algorithm, Journal of Theoretical and Applied Information Technology, 30th April 2025. Vol.103. No.8, ISSN: 1992-8645, E-ISSN: 1817-3195.
Objective: To provide a safe, automated booth for COVID?19/Omicron screening during the pandemic. Problem Addressed: Direct human contact during testing increases risk of viral spread. Manual temperature checks and data collection are time?consuming and error?prone. Solution Proposed: An IoT?enabled booth that automatically detects and records visitor data. Thermal imaging sensors measure body temperature without physical contact. Data is uploaded to a server along with a pre?registered mobile number for
Problem Addressed In dense 5G networks (urban areas, stadiums, smart cities), network congestion leads to: Video buffering and degraded audio quality. Uneven resource allocation among users. Increased latency affecting real-time applications (e.g., video calls, live streaming).Proposed Solution Adaptive Streaming Algorithms: Dynamically adjust video resolution and audio bitrate based on real-time network conditions. QoS (Quality of Service) Prioritization: Ensures critical streams (e.g., emergency broadcasts, l
Received “Best Faculty Award” at the Kumari Mangrove Foundation NGO for Research & Development , Kandanvilai, Kanyakumari District, Tamilnadu awards KMF AWARDS 2025 on 23-05-2025
Received “Jyestha Acharya” and “Guru Shreshta” Award from Bharat Education Excellence Award recognizing Exemplary Contributors of Research & Education sector from Vice Chancellor, Andhra University, Vijayawada. 21, April 2023
Recipient of the Bharat Education Excellence Award (BEEA 2025) for outstanding contributions to digital pedagogy, inclusive teaching, and research in Computer Science and Engineering
Award Name: Academic Excellence Award 2025 Presented Under: Faculty Excellence Awards 2025 Awarded To: Dr. K. Kalaivani, Head of the Department, Information Technology, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India A
Best Faculty Award – National Faculty Awards 2022–2023 ????? Date of Conferment 15 February 2023 ????? Awarding Body Novel Research Academy An ISO 9001:2015 certified academic body Registered under Government of India Regis
Received award from Dr. G Gnanasambandam for “Anna University rank holder “ - 8.55 cgpa in ME CSE,2014
