Name : C.SAGANA

Designation : Assistant Professor (Sr.G)

Area of Specialization : Cloud Computing, Machine Learning

DOB & Age as on 31.05.2023 : 22.04.1990 & 33 

Experience (in Years) : 10 Years 

Date of joining in the Institution : 30.05.2013

Highest Qualification : ME

Membership details (ISTE/CSI/IEEE) : CSI I1501878 

Contact Details

Email : sagana.c@kongu.ac.in

Mobile : 8144163614

Journals Published (International) :

1. C.Sagana, M.Geetha, Dr R.C.Suganthe, "Enhancing the Performance of Live Migration of Virtual Machine’s with WSClock Replacement Algorithm", International Journal of Communications Networking System, Vol 02, Issue 01, June 2013. 

2. Dr. R.Manjula Devi, Dr. S.J. Suji Prasad, Ms.C.Sagana,"An Efficient Fuzzy Neural Network Training Model for Supervised Pattern Classification System", Journal of Advances in Chemistry, Vol 12, Issue 11, October 2016.

3. G. Supriya, N.Subha lakshmi, V.VigneshKumar, C.Sagana, "Cost Effective Resource allocation for applications with Deadline Constraints using Cloudsim",Journal on Science Engineering and Technology,Vo1ume 5, No. 01, March 2018.

4. SaganaC, Manjula Devi R, Keerthika P, Sangeetha M, Thangatamilan M , Devendran K,Comparative Analysis of different Activation Function for Pattern Classification Problem, International Journal of Control and Automation Vol.13, No. 4, (2020), pp. 312 – 325.

5. Sagana, C., Sangeetha, M., Manjula Devi,R., Harshavarthini, S., Gokul, K., and Kavin, M. (2020). Detection and Classification of Crop Disease using Three-channel CNN with ResNetArchitecture. Solid State Technology, Vol.63(3), pp.5134-5139.

6. KeerthikaP, Suresh P, Manjula Devi R, Sangeetha M, Sagana C, Design of a Fault TolerantStrategy for Resource Scheduling in Cloud Environment, International Journal ofEngineering and Advanced Technology, Volume-9 Issue-1, October 2019, pp.5121-5128. (SCOPUS)

7. Dr.R.ManjulaDevi, Dr.P Keerthika, Dr.P Suresh, M. Sangeetha, C Sagana, K Devendran,Aggregated Machine Learning Algorithm (AMLA) for training Feedforward NeuralNetwork Classifiers, International Journal of Control and Automation Vol. 13,No. 4, (2020), pp.192 – 200.

8. SangeethaM, Sagana C, Manjula Devi R, Navin V, Prem C S, Rajkiran N. (2020).Identification of Uncertain Semantics on Social Media Contents UsingLSTM. International Journal of Advanced Science andTechnology, 29(05), 10049 - 10055.

9. SangeethaM, Sagana C, Manjula Devi R, Naveen Kumar S, Pavithran P, Ponnarasu R,Identification of vehicle through video motion using Haar Cascade Classifier,International Journal of Control and Automation Vol. 13, No. 4, (2020), pp.545– 551.

10.  C.Sagana,  Mr. M. Thangatamilan, Dr.P Keerthika, PestLocalization and Recognition Using  Data Augmentation and CNN Model, International Journal of Advanced Science andTechnology, Vol. 29, No. 6, (2020), pp. 5297 – 5306.

11. Sangeetha, M., R. Manjula Devi, C. Sagana, BS Swarna Suruthi, S. S. Thejesvika, and R. Vaibhav. "Privacy preserving disease risk assessment model using machine learning classifiers." International Journal of Health Sciences III: 9712-9727. 

12. Suji Prasad, S. J., M. Thangatamilan, M. Suresh, Hitesh Panchal, Christober Asir Rajan, C. Sagana, B. Gunapriya, Aditi Sharma, Tusharkumar Panchal, and Kishor Kumar Sadasivuni. "An efficient LoRa-based smart agriculture management and monitoring system using wireless sensor networks." International Journal of Ambient Energy 43, no. 1 (2022): 5447-5450. 

Paper Presented in International Conferences

1. C. Sagana, M. Geetha and R. C. Suganthe, "Performance enhancement in live migration for cloud computing environments,"         2013  International Conference on Information Communication and Embedded Systems (ICICES), Chennai, 2013, pp.            361-366.

2. G. Supriya, N.Subha lakshmi, V.VigneshKumar, C.Sagana, "Cost Effective Resource allocation for applications with                     Deadline Constraints using Cloudsim", International Conference on Information and Computational science (ICICS 2018).

3. "AN EFFECTIVE HANDWRITTEN MULTIDIGIT RECOGNITION USING CONVOLUTIONAL NEURAL NETWORK AND MULTI-LAYER PERCEPTRON" Advances in Communication, Machine Learning, Embedded with Internet of Things (IVCACME-2021)

4. C. Sagana, M. Devi, M. Sangeetha, K. Shwetha, M. S. Yazhini Devi and C. Udhayanidhi, "Smart Weather Forecasting using Machine Learning Approach," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2022, pp. 1072-1078, doi: 10.1109/ICCMC53470.2022.9754024. 

5. M. Sangeetha, R. Manjuladevi, C. Sagana, B. S. Swarna Suruthi, S. S. Thejesvika and R. Vaibhav, "Predicting Personalized Recommendations using GNN," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2022, pp. 228-234, doi: 10.1109/ICCMC53470.2022.9753929. 

6. C. Sagana, P. Keerthika, M. Thangatamilan, R. Kamali, K. Nanthini and S. Maghathani, "Identification of Suitable Crop Based on Weather Condition," 2022 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2022, pp. 01-06, doi: 10.1109/ICCCI54379.2022.9740905. 

7. Devi, R. Manjula, P. Keerthika, K. V. Devi, P. Suresh, M. Sangeetha, C. Sagana, and K. Devendran. "Detection of Diabetic Retinopathy using Optimized Back-Propagation Neural Network (Op-BPN) Algorithm." In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1695-1699. IEEE, 2021. 

8. Sagana, C., P. Keerthika, R. Manjula Devi, M. Sangeetha, R. Abhilash, M. Dinesh Kumar, and M. Hariharasudhan. "Object Recognition System for Visually Impaired People." In 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), pp. 318-321. IEEE, 2021. 

9. R. Manjula Devi, P. Keerthika, P. Suresh, Partha Pratim Sarangi, M. Sangeetha, C. Sagana, K. Devendran, "Retina biometrics for personal authentication", Academic Press, 2022, Pages 87-104, ISBN 9780323852098, https://doi.org/10.1016/B978-0-323-85209-8.00005-5.

10. Sagana, C., M. Sangeetha, S. Savitha, K. Devendran, T. Kavin, K. Kavinsri, and P. Mithun. "Machine Learning-Based Crop Recommendations for Precision Farming to Maximize Crop Yields." In 2023 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-5. IEEE, 2023. 

11. Devi, R. Manjula, M. Sangeetha, C. Sagana, S. Savitha, P. Hemalatha, N. Janani, and K. Maamathi. "Plant type classification based on leaves using Fusion based Support Vector Machine." In 2023 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-6. IEEE, 2023. 

Books and Books Chapter Published:

1. Data Structures and Object Oriented Programming in C++, Dr.R,Manjula Devi, M.Sangeetha, C.Sagana, Charulatha Publications

2. C# and .NET Framework, Dr.R,Manjula Devi, M.Sangeetha, C.Sagana, Charulatha Publications

3. Object Oriented Programming , Dr.R,Manjula Devi, M.Sangeetha, C.Sagana, Charulatha Publications

4. Mobile Computing , R.Manjula Devi,P. Keerthika, M. Sangeetha, C. Sagana, R.Sampath , Charulatha Publications

5. Java Programming, Dr.R,Manjula Devi, M.Sangeetha, C.Sagana, Charulatha Publications

6. C# and .Net Programming, Dr.R,Manjula Devi, M.Sangeetha, C.Sagana, Charulatha Publications

7. Information Retrieval Techniques, R.Manjula Devi,P. Keerthika, P.Suresh, M. Sangeetha, C. Sagana, Charulatha Publications 

8. Programming in C, R.Manjula Devi,P. Keerthika, P.Suresh, M. Sangeetha, C. Sagana , Charulatha Publications 

9. Post-Quantum Confidential Transaction Protocols,R. Manjula Devi, P. Keerthika, P. Suresh, R. Venkatesan, M. Sangeetha, C. Sagana, K. Devendran ,Wiley Online Library,2022 

10. Retina biometrics for personal authentication, R.Manjula Devi,P. Keerthika, P. Suresh, ParthaPratim Sarangi, M. Sangeetha, C. Sagana, K. Devendran,Elsevier, 2022

11. Cloud-based big data analysis tools and techniques towards sustainable smart city services, Suresh P, Keerthika P, Sathiyamoorthi VLogeswaran K, Manjula Devi R, Sentamilselvan K, Sangeetha M, Sagana C, IGI-GLOBAL, 2021.

Seminars/FDPs/Workshops/Industrial training Attended 

1. Workplace Communication and Softskills

2. Insights into Quality Research and Innovation

3. Publish to prosper

4. Principles of Management

5. Advanced health conscious fast charging schemes

6. Social Network Analysis - Emerging Trends and Challenges

7. Cutting edge trends in deep learning approach

8. Data Science

9. Artificial Intelligence using Python

10. Python for Data Science

11. Techniques in research and Innovations

12. Outcome Based Education

13. Data Science

14. Research Pespectives on Data science and Deep Learning

15. Recent advancement and application of data science

16. Business Analytics & text Mining Modeling Using Python

Self-supporting/VAC/Credit Courses Conducted 

1. App Development with REACT- https://drive.google.com/drive/folders/1UssxQoMySzJdZSZ_d9yDGI_s3NtkSZBB?usp=share_link 

2. Image and video processing using Python 

3. GIT and GITHUB for version control - https://drive.google.com/drive/folders/17N0EsYKGlWOusqZOBdfds0u4vkd6vw8C?usp=share_link 

4. Devops Technologies - https://drive.google.com/drive/folders/1cnvlXz4b82Ayy8M5O6EDERHeI1kSj5Lg?usp=share_link 

5. C Programming

6. UI/UX design using Figma Tool - https://drive.google.com/drive/folders/1NYEqi-So_dELowk-IvHnJmpVRxI1caAt?usp=share_link 

SIH/Ideathon Projects Guided 

1. Blood +

2. Virtual Vision

Course Content Developed 

1. Operating Systems

1. Monitors

2. Main Memory

3. Deadlock

4. Threads

5. Virtual Memory

6. NPTEL COURSE

7. Teaching Learning Methods: Think pair share activity, Role Play for Banker's algorithm.

2. Computer Organization 

1. STRUCTURE OF COMPUTERS AND MACHINE INSTRUCTION 

2. ARITHMETIC UNIT 

3. PROCESSING UNIT 

4. MEMORY SYSTEM 

5. I/O ORGANIZATION 

6. BUSES

7. DIRECT MEMORY ACCESS

8. PIPELINEING

9. NPTEL COURSE

3. Web Enigneering

1. HTML TAGS

2.  INPUT TYPES

3.  CSS

4. JAVASCRIPT

5.  EVENTS

6.  AJAX

7.  PHP

8. PROJECT DEMO

9. Teaching Learning Methods: Project based learning, Think pair share activity

10. CO-PO MAPPING, ILOs, OBE ACTIVITY, END SEMESTER QP: NOV 2017, NOV 2018, NOV 2019

4. Java Programing

1. APPLET

2. AWT CONTROLS, LAYOUT MANAGERS, MENUS

3. PACKAGE

4. EXCEPTION HANDLING

5. EVENT HANDLING

6. INTERFACE

7. I/O

8. NPTEL COURSE

9. Teaching Learning Methods: Problem Based Learing

10. CO-PO MAPPING, ILO, OBE ACTIVITY, END SEMESTER QP: APRIL 17, APRIL 2018, APRIL 2019

5. User Interface Technology 

1. ANGULAR, 

2. ANGULAR ROUTING 

3. TWO-WAY DATA BINDING AND SERVICE, 

4. NodeJS

5. Javascript 

6. Teaching Learning Methods: Project based learning

6. Data Structures

1. Introduction to DS and Array

2. Stack & Queue 

3. Singly Linked List

4. Doubly Linked list

5. Sorting

6. Graph

7. Binary Tree 

8. Sorting 

7.Problem Solving and Programming

1. Algorithm, Flowchart and Pseudocode

2. Programming Methodologies 

3. Control Structures -  Decision Making  

4. Control Structures -Loops 

5. Functions in C 

6. Arrays 

7. Data Types and Operators 

8. PRST

1. Pointers 

2. Structures 

3. Strings 

4. Arrays

5. Functions 

9. PYTHON PROGRAMMING

1. CONTROL STATEMENTS 

2. LIST, TUPLES, DICTIONARY 

3. FUNCTIONS AND MODULES 

4. STRINGS AND REGULAR EXPRESSIONS 

5. CLASSES AND OBJECTS