Name : Dr.M.Geetha
Designation : Associate Professor
Department : CSE
Date of Joining : 04.07.2007
Qualification : ME, PhD
AICTE ID : 589715
Experience : Academic: 17 Yrs Industry: -- Research: 11 Yrs
Area of Specialization : Load balancing & Scheduling in Cloud Computing,
Nature Inspired Optimization Algorithms,
Multimedia, Web Design
Professional Membership : CSI - Life Member
Contact : Mobile No.: 9489241573 Email: geetha@kongu.ac.in
Research Profile
C.Sagana, M.Geetha, and Dr R.C.Suganthe, "Enhancing the Performance of Live Migration of Virtual Machines with WSClock Replacement Algorithm", International Journal of Communications Networking System, Vol 02, No. 01, pp. 139-145 June 2013
R.S.Madhumitha, M.Geetha, and Dr. R.C Suganthe, "Novel load balancing with hybrid task scheduling stimulated through honey bee behavior in cloud computing environment", International Journal of Applied Engineering Research, Vol. 10, No.1, pp. 973-977, 2015
P.Dhivya, S.Deepika, R.Deepak Raj, and M.Geetha, "Faculty Profile: Android and web based application", March 2017
RS Latha, GR Sreekanth, RC Suganthe, and M Geetha, "Hybrid Binary Gray Wolf Optimization for finding Optimal Features in Classification Problems", Vol. 8, Issue 4, Nov 2019 pp. 5050-5053.
M.Geetha, R.S.Latha, V.Starbommaiyan, P.Sunantha, and S.Suvetha, “Design of Influent Parameters Prediction Model using Genetic Algorithm to Augment the Wastewater Treatment Process”, Sambodhi, vol. 43, no. 3, Nov-Dec 2020, pp. 133 – 141.
Geetha Muthsamy and Suganthe Ravi Chandran, ‘Task scheduling using artificial bee foraging optimization for load balancing in cloud data centers’, Computer Applications in Engineering Education’, vol. 28, no. 4, pp. 769 – 778, April 2020
Geetha Muthusamy and Suganthe Ravi Chandran, "Cluster-based Task Scheduling Using K-Means Clustering for Load Balancing in Cloud Datacenters," Journal of Internet Technology, vol. 22, no. 1 , pp. 121-130, Jan. 2021.
Suganthe, R. C., Geetha, M., Sreekanth, G. R., Gowtham, K., Deepakkumar, S., & Elango, R. (2021). Multiclass Classification of Alzheimer’s Disease Using Hybrid Deep Convolutional Neural Network. NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal| NVEO, 145-153.
Chandaran, S. R., Muthusamy, G., Sevalaiappan, L. R., & Senthilkumaran, N. (2022). Deep Learning-based Transfer Learning Model in Diagnosis of Diseases with Brain Magnetic Resonance Imaging. Acta Polytechnica Hungarica, 19(5).
M.Rajesh and M.Geetha, "Performance measure of network I/O workload in virtualized datacenter using hypervisor", National conference on computer applications, Febraury 2012.
C.Sagana, M.Geetha, and Dr.R.C.Suganthe, "Performance enhancement in live migration for cloud computing environments", In International Conference on Information Communication and Embedded Systems, February 2013.
G.Shobana, Geetha.M, and Dr.R.C.Suganthe, "Nature inspired preemptive task scheduling for load balancing in cloud datacenter", In International Conference on Information Communication and Embedded Systems, February 2014.
G.Shobana, Geetha.M, and Dr.R.C.Suganthe, "Load balancing by preemptive task scheduling instigated through honey bee behavior in cloud datacenter", In International Conference on Computing Nexus, March 2014.
P.Gokila, M.Geetha, D.Abirami Preetha, and G.Ramya, "A Study on Different Load Balancing Algorithms in Cloud Computing Environment", In The ISTE and IGS sponsored 2nd International Conference on Advanced Engineering and Technology for Sustainable Development, Febraury 2016.
Geetha, M., Latha, RS., Starbommaiyan, V., Sunantha, P., and Suvetha, S., "Design of influent parameters prediction model using genetic algorithm to augment the wastewater treatment process", In First Online International Conference on Continuity, Consistency and Innovation in Applied Sciences and Humanities, 13 August 2020.
M. Geetha, R. S. Latha, S. K. Nivetha, S. Hariprasath, S. Gowtham and C. S. Deepak, "Design of face detection and recognition system to monitor students during online examinations using Machine Learning algorithms," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-4, doi: 10.1109/ICCCI50826.2021.9402553.
Geetha, M., Suganthe, R. C., Latha, R. S., Anju, R., Sastimalar, K., & Shobana, P. (2022, January). "Deep Learning Based Yield Prediction Model To Predict The Yield of Paddy In Cauvery Delta Region". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-6). IEEE.
Geetha, M., Suganthe, R. C., Nivetha, S. K., Hariprasath, S., Gowtham, S., & Deepak, C. S. (2022, January). A Hybrid Deep Learning Based Character Identification Model Using CNN, LSTM, And CTC To Recognize Handwritten English Characters And Numerals. In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-6). IEEE.
M. Geetha, R. C. Suganthe, S. K. Nivetha, R. Anju, R. Anuradha and J. Haripriya, "A Time-Series Based Yield Forecasting Model Using Stacked Lstm To Predict The Yield Of Paddy In Cauvery Delta Zone In Tamilnadu," 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2022, pp. 1-6, doi: 10.1109/ICEEICT53079.2022.9768441.
Suganthe, R. C., Geetha, M., Sreekanth, G. R., Manjunath, R., Krishna, S. M., & Balaji, P. M. (2022, January). "Performance Evaluation of Convolutional Neural Network Based Models On Signature Verification System". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-6). IEEE.
Suganthe, R. C., Latha, R. S., Geetha, M., Abirami, S. P., Anaya, P., & Sri, A. G. (2022, January). "Convolutional Neural Network Based Multi Class Classification Model for Brain Tumor Diagnosis". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-6). IEEE.
Nivetha, S. K., Geetha, M., Suganthe, R. C., Prabakaran, R. M., Madhuvanan, S., & Sameer, A. M. (2022, January). "A Deep Learning Framework for Football Match Prediction". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-7). IEEE.
Nivetha, S. K., Geetha, M., Latha, R. S., Sneha, K., Sobika, S., & Yamuna, C. (2022, January). "Personality Prediction for Online Interview". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-4). IEEE
Latha, R. S., Sreekanth, G. R., Suganthe, R. C., Geetha, M., Selvaraj, R. E., Balaji, S., ... & Ponnusamy, P. P. (2022, January). "Stock Movement Prediction using KNN Machine Learning Algorithm". In 2022 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-5). IEEE.
FDP on "IBM Worklight Training with HTML5, Java Scripting, CSS, Dojo, Jquery" from 23.4.16 to 30.4.16 organized by Dept. of CSE, Kongu Engineering College, Perundurai
Workshop on "Hadoop and Cloud Computing" from 6.9.16 to 12.9.16 organized by Dept. of IT, PSG College of Technology, Coimbatore
Workshop on "SalesForce TrialHead" on 15.6.2017 and 16.6.2017 organized by ICT Academy and PSG Institute of Technology and Applied Research, Coimbatore
Completed an NPTEL online course on "Joy of Computing using Python" during July to Oct' 2018
FDP on "Introduction to Angular JS" organized by ICTACT and Karpagam College of Engineering, Coimbatore
Webinar on "Deep Learning for Modeling and Control of Bio-Process" organized by Department of Electronics and Communication Engineering, Easwari Engineering College on 2.6.2020
Online Webinar cum Workshop on "Data Science using Python" oranized by Amrita College of Engineering and Technology, Nagercoil and Hebeon Technologies, Hyderabad from 17.6.2020 to 25.6.2020
"Augmented Reality Bootcamp" by Codegnan IT Solutions on 22.6.2020 and 27.6.2020
Webinar on "Online Teaching Techniques and Tools" by the Department of Electronics and Communication Engineering, Paavai Engineering College, Namakkal on 18.7.2020
AICTE sponsored Online STTP on "Leveraging the Power of Serverless Computing: Architectural and Economical Impact, Research Challenges, and Issues" organized by Department of Computer Science and Engineering, Kongu Engineering College, Erode from 14.12.2020 to 19.12.2020
STTP on "Artificial Intelligence and Machine Learning" organized by the Department of CSE, Model Institute of Engineering and Technology, Kot Bhalwal, Jammu from 26.7.2021 to 31.7.2021
AICTE sponsored STTP on "Practicing Cloud Computing with AWS", conducted by the Department of CS&IT and CSE, K L Deemed to be University during 16.08.2021 - 21.08.2021
Two days virtual workshop on "Art of Research" organized by the Department of IT in association with IEEE Student Branch, Sri Sai Ram Institute of Technology, Chennai, from 23.08.2021 to 24.08.2021
Completed a course on the topic "Getting Started with Deep Learning" on 11.01.2022 offered by NVDIA Deep Learning Institute
"Wipro Certified Faculty Program" from 31.01.2022 to 18.02.2022 conducted by Wipro.
Completed an NPTEL online course on "Introduction to Machine Learning (Tamil)" with Elite-Silver certification during Jan to Feb' 2022
Completed a course on the topic "Building Real-Time Video AI Applications" on 16.12.2022 offered by NVDIA Deep Learning Institute
Completed an NPTEL online course on "Design & Implementation of Human- Computer Interfaces" with Elite-Silver certification during July to Oct' 2022
The article entitled "Task scheduling using artificial bee foraging optimization for load balancing in cloud data centers" published in Computer Applications in Engineering Education Journal has been recognized as the Top cited Paper by Wiley during the year 2020 - 2021
Recognized as "One of the Top Cited Authors" by Wiley for the article "Task scheduling using artificial bee foraging optimization for load balancing in cloud data centers" .
14CSC61 - Graphics & Multimedia
Line & Circle Drawing Algorithms
3D Transformation
Color Models
MPEG 2 Video Compression Algorithm
18CST43 - Operating Systems
CPU Scheduling
Round Robin & Priority Scheduling
Problems Based on CPU Scheduling (Processes with Different Arrival Time)
Deadlock
Consultancy Works Undertaken