1. 1. Pranathi, Dr.C.Lakshmi, Dr.M.Suneetha,Optimized Intelligent Strategy for user authorization by facial recognition” , published in the journal of Multimedia Tools and Applications , Springer (Scopus indexed), IF: 3.6, January 2024, ISSN 13807501.
   2. Saifeen Naaz,Himanshu Pandey and Dr.C.Lakshmi , “Forecasting GDP per capita using Machine Learning Algorithms”, in 2024 Second International Conference on Emerging Trends in Information Technology and Engineering , January 2024. (IEEE Conference).
   3. Abhishek, Sarthak, Dr.C.Lakshmi, “Comprehensive Analysis of various Machine Learning Techniques for Rainfall Prediction”, in the 4^th International conference on Innovations in electrical, Information and Communication Engineering , April 2023.

    

2. Anu Manohar, Dr.C.Lakshmi, “A Systematic Study of Challenges in Cervical Cytology Image Segmentation of Intelligence based Cervical Cancer Screening” in IEEE CONFERENCE and published in IEEE XPLORE(Scopus Indexed), December 2023.
3. Ramya, Dr.C.Lakshmi, “Design of Novel Brain Tumour Segmentation System using Hybrid Heuristic-aided Multiscale Self-guided Attention Mechanism based Adaptive Unet+++ with 3D Brain MRI images”, Published in the journal of International Journal of Pattern Recognition and Artificial Intelligence, Accepted in December 2023. (Sci Indexed), ISSN Online No: 1793-6381, IF:1.5, CITESCORE:2.8, SNIP:0.556
4. Arun and C.Lakshmi , “Multi-Cluster based Over Sampling (MBOS) approach to alleviate the Class imbalance Problem, International Journal of System Assurance Engineering and Management , July 2023, SNIP 0.916, (Scopus Indexed).
5. Venkatesh Kumar and C.Lakshmi, “Cyber-Resilient Privacy Preservation and Secure Billing Approach for Smart Energy Metering Devices”, International Journal of Engineering Trends and Technology, Vol.70, Issue 9, 337-345, September 2022, ISSN : 2231 – 5381. (Scopus Indexed).
6. Ramya and C.Lakshmi, “Brain Tumor Segmentation using MRI Images by Optimized U-Net”, IEEE XPLORE, May 2023 (Scopus Indexed).
7. Venkatesh Kumar and C.Lakshmi, “ A Privacy Preservation data collection and Access control using Entropy-based Conic curve” – Journal of Intelligent & Fuzzy Systems, Vol.44, no.5, pp. 7629-7642, May 2023. (SCI).
8. Joseph James and C.Lakshmi, “ A Novel Framework for Semi-Supervised Multiple-label Image Classification using Multi-stage CNN and Visual Attention Mechanism” – International Journal of Advanced Computer Science and Applications, Vol.14, No.4, May 2023.
9. Anupama and C.Lakshmi, “Approaches to parallelize ECLAT algorithm and analyzing its performance for k-length prefix based Equivalence classes– Inderscience-International Journal of Business Intelligence and Data Mining. Jan. 2022 (SNIP : 0.641) (Scopus Indexed).
10. Arun.C and C.Lakshmi, “Performance evaluation of Oversampling Algorithm:MAHAKIL using Ensemble Classifiers”– Inderscience-International Journal of Business Intelligence and Data Mining. Jan. 2022 (SNIP : 0.641) (Scopus Indexed)
11.  Arun.c, Lakshmi.c, “Genetic algorithm based oversampling approach to prune the class imbalance issue in software defect prediction “, Soft Computing, Aug.2021, (SCI, IF-3.643).

4. Mr. S. Joseph James, and Dr.C.Lakshmi , “A Comparative analysis of multiple label Image Classification Technique” published in IEEE XPLORE, Feb. 2022. (Scopus Indexed)
5. P.Pranathi, Dr.C.Lakshmi, Dr.M.Suneetha, “ A Review on Various Facial Expression Recognition Techniques” in Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), IEEE Explore, Part Number: CFP21OSV-ART; ISBN: 978-1-6654-2642-8. (Scopus Indexed)

6. Sonal Ayyappan, C Lakshmi,” A Perceptual Matching based Deduplication Scheme using Gabor-ORB Filters for Medical Images”, International Journal of Advanced Computer Science and Applications, 2020 (SNIP:0.382) (Scopus Indexed)
7.  Sonal Ayyappan, C Lakshmi,” Auto Empirical Analysis of Robust Chaotic Maps for Image Encryption”, International Journal of Innovative and Exploring Engineering, 2020 (SNIP:0.055) (Scopus Indexed)

8. Sonal Ayyappan, C Lakshmi, Varun Menon,” A Secure Reversible Data Hiding System for Embedding ERP in Medical Image”, Current Signal Transduction Therapy, 2019 (SNIP:0.211) (Scopus Indexed) 

10. Sonal Ayyappan, C Lakshmi,” A Review on Reversible Data Hiding Techniques”, International Journal of Applied Engineering Research, 2018 (SNIP:0.691) (Scopus Indexed)
11. Venkatesh Kumar M, Dr.C.Lakshmi , “ An Efficient Secure Computation for Privacy preserving data mining in multiparty computation (MPC) – A review”,  IJARET volume 11, Issue 10 October 2020, pp.855-870 (Scopus Index Journal)
12. Venkatesh kumar M, Dr.C.Lakshmi, “ A Survey: Privacy Preserving Data Mining Techniques”, Solid State Technology volume 63, Issue 6, December 2020, (Scopus Indexed Journal)
13. C.G. Anupama and Dr.C.Lakshmi “ Survey of Agriculture Recommendation System”  Advances in Intelligent System and computing .Springer series, 2020 (Scopus Indexed)
14. M. Venkatesh Kumar and Dr.C.Lakshmi “Comparative study and evaluating performance of an efficient data mining techniques” Advances in Intelligent System and computing .Springer series, 2020 (Scopus Indexed)
15. C.Arun and C.Lakshmi “Class imbalance in Software fault Prediction Dataset” “Advances in Intelligent System and computing .Springer series, 2020 . (Scopus Indexed)
16. S Joseph James, and C.Lakshmi, A Study: Multiple-Label Image Classification using Deep Convolutional Neural Network Architectures.Springer series, 2020. (Scopus Indexed)
17. Alice Nithya and C. Lakshmi, On the performance Improvement of Non-Cooperative Iris Biometrics using Segmentation and Feature Selection Techniques, Int. Journal of Biometrics (IJBM), Vol. 11, No. 1, 2019 (SNIP – 0.186, Scopus).
18. Lakshmi, and Vipanchi Chachan “Video Prediction for Automated Control of Traffic Signals through predictive Neural Network, Springer Series,2018. (Scopus Indexed)
19. Rani Krithiga, R., Lakshmi, C. A novel automated classification technique for diagnosing liver disorders using wavelet and texture features on liver ultrasound images (2018) Multimedia Tools and Applications, . Article in Press. (IF – 1.41, SNIP – 0.881, SCI).
20. Nithya, A. A., & Lakshmi, C. Enhancing iris recognition framework using feature selection and BPNN. (2018) Cluster Computing, 1-10. (IF – 2.04, SNIP – 1.115, SCI)
21. Kumar, G.S., Lakshmi, C. “Verification and validation of web services on the world wide web” (2018) Journal of Computational and Theoretical Nanoscience, 15 (9-10), pp. 2967-2971 (SNIP – 0.247, Scopus).
22. Sreeji, K.S., Lakshmi, C. Dynamic understanding of software system using structural and semantic based detection of design patterns and antipatterns (2018) Journal of Computational and Theoretical Nanoscience, 15, pp. 3037-3043 (SNIP – 0.247, Scopus).
23. Senthil Kumar and C. Lakshmi, Similarity analysis and bootstrapping framework for web service discovery in the field of medical applications using quality of experience and quality of service (2018) Indian Journal of Public Health Research and Development, 9 (9), pp. 1019-1024 (SNIP – 0.047, Scopus).
24. Senthil Kumar ,Dr.C.Lakshmi, “QoE Based Recommender System In The Applications Of E-learning Resources”, International Journal on Advanced Intelligence Paradigms, Inderscience Publishers 2018 (Scopus Indexed, SNIP- 0.69)
25. Krithiga, R.R., Lakshmi, C. A review: De speckling techniques in liver ultrasound images (2018) International Journal of Pure and Applied Mathematics, 118 (14 Special Issue), pp. 197-206. (SNIP – 0.39, Scopus).
26. Senthil Kumar ,Dr.C.Lakshmi, “QoE Based Recommender System In The Applications Of E-learning Resources”, International Journal on International Journal of Advanced Intelligence Paradigms,Inderscience Publishers (Scopus Indexed, SNIP- 0.69)
27. Ranikrithiga, and C.Lakshmi, (2018), Dynamic Contrast enhancement of despeckiling method based on multiscale analysis for ultrasound images, International Journal on Smart Sensing and Intelligent System . (Scopus Indexed)
28. Srinivasan, N., Lakshmi, C.Stock prediction and analysis using intermittent training data with artificial neural networks (2018) Proceedings of 2017 International Conference on Innovations in Information, Embedded and Communication Systems. (Scopus).
29. Srinivasan, N., Lakshmi, C.Forecasting stock price using soft computing techniques(2018) ICONSTEM 2017 – Proceedings: 3rd IEEE International Conference on Science Technology, Engineering and Management (Scopus).
30. Krithiga, R.R., Lakshmi, C. A novel despeckling method based on multiscale analysis for ultrasound B-mode imaging (2017) Journal of Medical Imaging and Health Informatics, 7 (8), pp. 1801-1809. (SNIP – 0.359, IF=0.659, SCIE).
31. Alice Nithya, A., Lakshmi, C. Towards enhancing non-cooperative iris recognition using improved segmentation methodology for noisy images (2017) Journal of Artificial Intelligence, 10 (3), pp. 76-84. (SNIP – 0.087, Scopus).
32. “Alice Nithya, C. Lakshmi and R. Rani Krithiga, Iris Recognition Based on GLCM and FFT Feature Set Fusion”, published in International Journal of Pure and Applied Mathematics, ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version)vol(113) 12, 2017. (SNIP – 0.39, Scopus).
33. Rani Krithiga, R., Lakshmi, C. Reduction of speckle noise in ultrasound images using MMM filter (2017) International Journal of Pure and Applied Mathematics, 113 (11 Special Issue), pp. 84-95. (SNIP – 0.39, Scopus).
34. Srinivasan, N., Lakshmi, C. Stock price prediction using rule based genetic algorithm approach (2017) Research Journal of Pharmacy and Technology, 10 (1), pp. 87-90. (SNIP – 0.173, Scopus).
35. Senthil Kumar and C. Lakshmi,” Efficient discovery of Web Services using User’s Frame of Reference”, published in Research Journal of Pharmaceutical, Biological and Chemical Sciences, ISSN: 0975-8585, 2017. (WOS)
36. Srinivasan, N., & Lakshmi, C. (2017, March). Stock prediction and analysis using intermittent training data with artificial neural networks. In Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017 International Conference on (pp. 1-4). IEEE. (WOS)
37. Selvi, N. S., Lakshmi, C., & Yasodhei, S. U. Framework for Feedback Assessment and Assistant E-System in Digital Age Education. (2017) International Journal of Computer Engineering & Technology, V0l. 8(1).
38. Srinivasan, N., & Lakshmi, C. (2017, March). Forecasting stock price using soft computing techniques. In Science Technology Engineering & Management (ICONSTEM), 2017 Third International Conference on (pp. 158-161). IEEE. (SCOPUS)
39. Shree Madhan, A.P., Athreya, S.B., Srinivasan, N., Lakshmi, C. Balancing workload of cloud and dynamic request redirection for cloud based video services using CDN and data centers(2016) Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (6), pp. 1406-1411. (SNIP – 0.209, Scopus)
40. Srinivasan, N., Lakshmi, C. A novel prediction based tree structured data using machine learning techniques (2016) Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (5), pp. 522-526. (SNIP – 0.209, Scopus)
41. Senthil Kumar, G., Lakshmi, C. A literature survey on web service discovery (2016) International Journal of Engineering and Technology, 8 (2), pp. 1045-1052. (SNIP – 0.086, Scopus)2016
42. Alice Nithya, A., Lakshmi, C. Feature extraction techniques for recognition of iris images: A review (2016) International Journal of Control Theory and Applications, 9 (28), pp. 87-92. (SNIP – 0.097, Scopus)
43. Alice Nithya, A., Lakshmi, C., Anand, J., Sekar, N. Multi-unit feature level fusion approach using PPCA (2016) Indian Journal of Science and Technology, 9 (38), art. no. 101936. (SNIP – 1.27, Scopus)Alice Nithya, C. Lakshmi and R. Rani Krithiga,
44. Enhanced Annular Iris recognition using Bag of Vocabulary Models”, published in International Journal of Control .Theory and Applications, ISSN : 0974–5572, vol(9) 40, 2016 (SNIP – 0.097, Scopus)
45. Senthamarai Selvi and C. Lakshmi, “Accurate Pupil Positioning for Eye Tracking with Eyewear Glasses in Natural Dessktop Environment”, published in International Journal of Control Theory and Applications, ISSN : 0974–5572, vol(9) 40, 2016 (SNIP – 0.097, Scopus)
46. Sreeji, K.S., Lakshmi, C. A systematic literature review: Recent trends and open issues in software refactoring (2015) International Journal of Applied Engineering Research, 10 (18), pp. 39696-39707. (SNIP – 0.484, Scopus)
47. Senthamarai Selvi, N., Lakshmi, C. A review: Towards quality improvement in real time eye-tracking and gaze (2015) International Journal of Applied Engineering Research, 10 (6), pp. 15731-15746. (SNIP – 0.484, Scopus)
48. Alice Nithya, A., Lakshmi, C. Iris recognition techniques: A Literature Survey (2015) International Journal of Applied Engineering Research, 10 (12), pp. 32525-32546. (SNIP – 0.484, Scopus)
49. Sridevi, T., Srinivasan, N., Lakshmi, C. Detecting digital forgeries in images by using CFA algorithm(2014) International Review on Computers and Software, 9 (8), pp. 1314-1319.
50. Rani Krithiga, R., Lakshmi, C., Alice Nithya, A. Segmentation of dental caries from dental X-ray images using wavelet and watershed transforms (2014) International Journal of Applied Engineering Research, 9 (20), pp. 4617-4624. (SNIP – 0.484, Scopus)
51. Srinivasan and C. Lakshmi, “A Novel method for predicting stock price using fuzzy classification system” published in Indian streams research Journal ISSN:2230-7850,Volume 3, Issue 11, Dec. 2013.
52. Hardik Joshi & Lakshmi, C. Development of an Intelligent Routing Algorithm for Multi-Agent System in Grid Environment, International Journal of Science and |research, Vol. 2(5), 2013.
53. Mathew George & Lakshmi, C. Object Detection using the Canny Edge Detector, International Journal of Science and |research, Vol. 2(5), 2013.
54. Rathina X.A, Ponnavaikko M, Lakshmi C, And Mehata K.M, “Human Facial Expressions Recognition – A Survey” Published in Journal of Signal and Image Processing ISSN: 0976-8882 & E-ISSN: 0976-8890, Volume 3, Issue 4, Dec 2012, pp. -130-142. (Google Scholar).
55. Lakshmi, D. Malathi & M. Sundararajan, “Performance analysis of Image restoration filters for satellite images”, published in Research Journal of computer Systems Engineering, vol.02, issue 04, July-December 2011, pp: 277-287.
56. Lakshmi & M. Sundararajan, “Wavelet based finger print
    identification for effective biometric security”, Publication of
    Elixir Advanced Engineering Informatics-35(2011)-pp.2830-2832.
57. Lakshmi, C., Sundararajan, M., Manikandan, P. Hierarchical approach of discriminative common vectors for bio metric security 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, 2, art. no. 5451806, pp. 784-790.
58. Lakshmi, C., Ponnavaikko, M., Sundararajan, M. Improved kernel common vector method for face recognition varying in background conditions (2010) Lecture Notes in Computer Science, 6026 LNCS, pp. 175-186. (SNIP – 0.655, Scopus, ISI-WOS)
59. Lakshmi, C., Ponnavaikko, M., Sundararajan, M. Improved kernel common vector method for face recognition (2009) 2009 2nd International Conference on Machine Vision, ICMV 2009, art. No. 5381076, pp. 13-17. (WOS)
60. Lakshmi, C., Ponnavaikko, M. Boosting kernel discriminative common vectors for face recognition (2009) Journal of Computer Science, 5 (11), pp. 801-810. (SNIP – 0.402, Scopus)
61. Lakshmi, C., Ponnavaikko, M. Improved kernel discriminative common vectors for face recognition (2009) 2009 IEEE International Advance Computing Conference, IACC 2009, art. No. 4809014, pp. 239-244. (Scopus Indexed)
62. Lakshmi & M. Sundararajan, “The Chernoff Criterion Based Common Vector Method: A Novel Quadratic Subspace Classifier for Face Recognition” Indian Research Review, Vol.1, No.1, Dec, 2009.
63. Lakshmi & M. Ponnavaikko,” Boosting kernel common vector method for face recognition”, International Journal of Computational Intelligence Research, Vol.5, No.3, pp.255-269, 2009 (Google Scholar)
64. Lakshmi & M. Sundararajan,”Biometric Security system using Face Recognition”, International Journal of Pattern Recognition and Artificial Intelligence. July 2009 pp. 125-134. (IF: 1.375 , SNIP – 0.669, SCIE)
    Papers Presented At Important International Conferences and Published In Their Proceedings

1. Pranathi, Dr.C.Lakshmi, Dr.M.Suneetha, “Highly Accurate Emotion Recognition from Face Images Using Multiple Feature Extraction and Recurrent Convolutional Neural Network”, in the 3rd International Conference on Internet of Things(ICIoT), 5th to 7th April 2022, School of Computing, SRMIST, Kattankulathur-603203
2. S. Joseph James , and Dr.C.Lakshmi , “A Comparative analysis of multiple label Image Classification Technique” IEEE 4^th International conference on Computing and Communication Technologies” held on DEC.16^TH AND 17^TH, 2021.
3. P.Pranathi , Dr.C.Lakshmi, “A review on various Facial Expression Recognition Techniques”, International Research conference on IOT, Cloud and Data Science (IRCICD’21), 23^rd and 24^th April 2021.

4. Venkatesh Kumar M, Dr.C.Lakshmi, “Performance Analysis of Privacy Preserving Distributed Data Mining based on Cryptographic Techniques”, ICEES-2021, 7th International IEEE Conference on Electrical Energy Systems, SSN College of Engineering Chennai.
5. Arun and C.Lakshmi “Class imbalance in Software fault Prediction Dataset” “Advances in Intelligent System and computing .Springer series, 2020 in 4^th International Conference Proceedings an Artificial Intelligence and Evolutionary computations in Engineering Systems, April 11-13,2019.
6. S Joseph James, and C.Lakshmi, A Study: Multiple-Label Image Classification using Deep Convolutional Neural Network Architectures. Springer series, 2020 in 4^th International Conference Proceedings an Artificial Intelligence and Evolutionary computations in Engineering Systems, April 11-13, 2019.
7. Srinivasan, N., & Lakshmi, C. (2017, March). Stock prediction and analysis using intermittent training data with artificial neural networks. In Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017 International Conference on (pp. 1-4). IEEE. (WOS)
8. Srinivasan, N., & Lakshmi, C. (2017, March). Forecasting stock price using soft computing techniques. In Science Technology Engineering & Management (ICONSTEM), 2017 Third International Conference on (pp. 158-161). IEEE. (SCOPUS)
9. Alice Nithya & C. Lakshmi “Multi-unit feature level fusion approach using PPCA”, published in Proceedings of Joint International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES-2016) and Power, Circuit and Information Technologies (ICPCIT-2016).
10. Lakshmi, M. Sundararajan & P. Manikandan, “Hierarchical Approach of Discriminative Common Vectors for Bio Metric Security”, Proceeding of 2nd IEEE International Conference on Computer and Automation Engineering-2010, Singapore, February 26-28, 2010.vol 2 pp. 784-790.
11. Lakshmi, M. Sundararajan & M. Ponnavaikko, “Improved kernel common vector method for face recognition varying in background conditions”, proceeding of 2nd IEEE International Symposium CompIMAGE’10, Buffalo, Nayagara, USA, May 5-7, 2010- pp.175-186 (2010).
12. Lakshmi, M. Ponnavaikko , “Improved Kernel Discriminative Common Vectors for Face Recognition”, Proceedings and IEEE Explore of the International Advance Computing Conference, March 2009 Thappar University, Patiala, Punjab.
13. Lakshmi, M. Sundararajan & M. Ponnavaikko, “Improved Kernel Common Vector Method for Face Recognition”, Proceeding of 2nd IEEE International Conference on Machine Vision-2009, Dubai, UAE, December 28-30, pp. 13-17, 2009 and Published in IEEE Explorer.
14. Lakshmi & Manas Jyoti Bordoloi , “ Discriminative Common Vectors by Cholesky Decomposition method for Face Recognition”, Proceedings of the International Conference on Mathematics and Computer Science, January 2009 , Loyola College , Chennai
15. Lakshmi, M. Sundararajan & M. Ponnavaikko, “ Human Face Recognition based Biometric Security using Wavelet Analysis”, Proceedings of the International Conference on Information Security-2005, Pondicherry engineering College, Pondicherry, India, December 7 – 9 , 2005 pp. 140-143.
16. Lakshmi & M. Sundararajan “Effectiveness of Intensity Quantization Error in Image Processing”, Proceedings of the International Conference on Trends in Industrial Measurement and Automation, Anna University, Chennai, Tamilnadu, India . August 17-19 2001 pp. 6.17 – 6.26.

Papers Presented At Important National Conferences and Published In Their Proceedings

• Rani Krithiga and C. Lakshmi, “Reduction of Speckle Noise in Ultrasound Images Using MMM Filter Proceedings of the National Conference on Mathematical Techniques and their applications, 2017
• Alice Nithya, C. Lakshmi and R. Rani Krithiga, “Iris Recognition Based on GLCM and FFT Feature Set Fusion”, Proceedings of the National Conference on Mathematical Techniques and their applications, 2017
• Senthamarai Selvi and C.Lakshmi, “Accurate Pupil Positioning for Eye Tracking with Eyewear Glasses in Natural Desktop Environment”, Proceedings of the National Conference on Computational Intelligence and High Performance Computing, Sep. 2016.
• Alice Nithya & C. Lakshmi, “Iris Recognition Technique based on feature set fusion of GLCM and FFT” , Proceedings of the National Conference on Computational Intelligence and High Performance Computing, Sep. 2016.
• Rani Krithiga and C. Lakshmi, “A Survey: Segmentation in Dental X-ray Images for Diagnosis of Dental Caries”, Proceedings of the National Conference on Recent Innovations in Software Engineering & Computer Technologies. 2016
• Alice Nithya, C.Lakshmi and R. Rani Krithiga, “Enhanced Annular Iris recognition using Bag of Vocabulary Models”, Proceedings of the National Conference on Computational Intelligence and High Performance Computing, Sep. 2016.
• Lakshmi & Manas Jyoti Bordoloi  “Recognition of Face Images Using Kernel Intelligence Techniques”, Proceedings of the National Conference on Artificial Intelligence and Neural Networks, MCA department , SRM University, Chennai , February 2008.
• Lakshmi & M. Sundararajan “Improved Biomedical Image Enhancement using Automatic Tissue Optimization”, Proceedings of the National Conference on Electronics, Communication , Computers, Instrumentation and Power system, Eswari Engineering College, Chennai, July 25 – 26 2003. pp. 117 – 121.
• Lakshmi & M. Sundararajan “Linear Low pass Filtering Techniques for Human like Visual Perception”, Proceedings of the National Conference on NCDAR 2001, PES Engineering College, Mandiya, Karnataka.

Patents:

• Certified as Adjunct Faculty for Architecture for Software Systems and Analysis of software Artifacts courses by Institute of software Research, Carnegie Mellon University, Pittsburgh, USA (2014-2015, 2015-2016, 2016-2017)
• Award for presenting “Educate Software Engineering” from Carnegie Mellon University, Pittsburgh, USA on March 21st, 2015.
• Passed Red Hat Certified Technician Course, in October 2006.
• Awarded Gold Medal for University II-Rank in M.E (CSE) 2001
• Short term course on VLSI Design using VHDL coding for staff members of SRM Engineering College, 2001.
• Session Coordinator in Indian Science Congress Association, organized by SRM Institute of Science and Technology (formerly known as SRM University) in January, 2011.
• Coordinated the SUCCESS training programme for school teachers organized by SRM Institute of Science and Technology (formerly known as SRM University) in Trichy, sep.2011.
• Coordinated the SUCCESS training programme for school teachers organized by SRM Institute of Science and Technology (formerly known as SRM University), Nov.2011.
• Coordinated the student workshop on Software Application Development organized by TCS,Chennai, in the month of October 2011.
• Coordinated the student workshop on Networking-wired and wireless organized by TCS,Chennai, in the month of October 2011.
• Coordinated the Faculty development Programme on Cloud computing organized by TCS,Chennai, in the month of October 2011.
• Convenor for the workshop on “Research challenges in soft Computing” in December 2011.

1. Attended six days FDP on Disaster Management from May 23^rd to May 28^th, organized by CTECH Department, School of Computing, SRMIST.

 2. Attended an IAE WORKSHOP organized by AICTE from March 21^st to March 22, 2022.

 1. Attended Online ATAL FDP on “Essentials of Machine Learning” from Dec. 13^th to Dec. 17^th, 2021.

1. Attended IndoML Symposium 2021 from Dec.16^th to Dec. 18^th in Online.
2. Attended the Faculty Development Programme on “5-day FDP-SI UHV Online – “AICTE Incorporating Universal Human Values in Education (An AICTE Initiative)”, from Sep.27^th to Oct. 1^st, 2021.
3.  Attended the Faculty Development Programme on “Virtual Labs” 10^th August 2020 to 14^th August 2020, “PALS-VLABS 2020-21 INITIATIVE.

• Attended the 5 days Faculty Development Programme 19^th to 23^rd August 2019 on “ Microsoft Intelligent cloud Hub-AI School”
• Involved in “Software Verification “Grand finale in TCS on August 2017.

10. Attended one day workshop on “Modified NAAC “ in SRM University on Oct.12th, 2017
11. Attended the Connect 2016, International Conference and Exposition on Information and Communication Technology (ICT) on Sep, 2016.
12. Attended the Indo-American summit 2016 on August 2016.
13. Participate in the discussion meeting on “Industries Expectation from Freshers” in TCS on Nov. 2016.
14. Attended and discussed with Research team of TCS along with Professor. Anthony Lattanzee on “Internet of Things”, October 2015.
15. Attended and discussed with Research team of CTS along with Professor. Anthony Lattanzee on “Embedded Software Engineering”, October 2015.
16. Attended faculty workshop on “Teaching and Learning” given by Marsha C. Lovett, Psychology Department, CMU, Pittsburgh, March 2012.
17. Attended “Grant Writing Workshop” conducted by R&D Department of SRM University, July 18th, 2012.
18. Attended “Indian Science Congress Association” conducted by SRM UNIVERSITY, Jan, 2011
19. Attended workshop on “Image Processing using MatLab” conducted by TIFFAC core in Rajalakshmi Engineering College, October, 2010.
20. . Attended “Recent Trends in Text and Speech processing” conducted by SSN Engineering College, 13 th, 14 th August 2009.
21. Attended “Recent Trends in Digital Image Processing” conducted by SSN Engineering College, 20 th , 21 th August 2009.
22. Attended workshop on “Research Methodology and Tools” conducted by Bannari Institute of Technology, Erode, December, 2009.
23. Attended “Train the Trainer (TTT) workshop 2006” conducted by Infosys Technologies Limited, Chennai on 16th, 17th February 2006.
24. Attended “Train the Trainer (TTT) Program” conducted by WIPRO Technologies Limited, Chennai on 8th, 9th December 2006.
25. Attended workshop on “Prospective in Nano Technology” sponsored by ISTE, conducted by SRM Institute of Science and Technology on 22nd October 2005.
26. Attended Pre Conference tutorial AMSA – 2003, on “DSP / FPGA Based Embedded systems” on 16th December 2003 conducted by CEERI center, CSIR Campus, Taramani, Chennai.
27. Attended Pre Conference tutorial AMSA – 2003, on “Neural Network & Fuzzy Systems” on 15th December 2003 conducted by CEERI Centre, CSIR Campus, Taramani, Chennai.
28. Attended a workshop on “Unix based Implementation of Operating System Concepts” on 8th, 9th November 2002 conducted by School of Computer Science & Engineering, Anna University, Chennai.
29. Attended a five-day course on “Digital VLSI Designing using VHDL” from 27th to 31st March 2000 conducted by Ministry of Information Technology, Government of India, New Delhi.

Projects:

Title:        Application ID: 877698070

Title of Proposal: A Co-created Internationally Delivered Masters in Disaster  Management and Recovery, PG Programme.

Going Global Partnership Collaborative Grant – British          council Grant (Joined with Prof. Simon, from Teeside University, UK)

Faculty  : Dr.C.Lakshmi (Professor/CINTEL), MS.G.Anupama (AP/CINTEL)

Organization. Name. : British Council Grant

Status & Year   :  Applied. (Sep.2021) and approved (Nov.2021)

Fund quoted by BCG: Euro 30,000 to Euro 100,000

Sanctioned amount : Euro 60000

2.

.Title: Automatic Prevention of Road Accidents by Identifying Road signs and Driver Drowsiness

Faculty: Dr.C. Lakshmi (HOD/SWE); Dr. Femilda Josephin  (Associate Professor / SWE), Mr.Joseph James (Ap/SWE)

Organization Name:    SRMIST

Status & Year: Ongoing (2016 -2017)

Fund raised / received: Rs. 6,00,000

Academic Experience:

• Professor, SRM Institute of Science and Technology (formerly known as SRM University), Chennai, from January 2011 to till date.
• Asst.Professor, SRM Institute of Science and Technology (formerly known as SRM University), Chennai, From April 2004 to Dec. 2010.
• Senior lecturer, SRM Engineering college, Chennai, from Jan 2002 to March 2004.
• Lecturer, SRM Engineering college, Chennai, from Aug.1996 to Dec.2001.
• Lecturer, Bharath polytechnic college, Chennai from May 1996 to july 1996.
• Senior lecturer, Global institute of science and technology, Madurai, from Jan 1996 to April 1996.
• Lecturer, A.T.A Polytechnic college, Thirukazhukundram, from Oct.1991 to Dec.1995.
• Associate lecturer, Meenakshi ammal polytechnic college, Uthiramerur, from Aug. 1990 to Sep 1991.

Other Professional Experience:

• Life Member of the Indian Society for Technical Education since 2002 (LM30367).
• Life Member of the International Association of Computer Science and Information Technology, Singapore since 2009.
• Life member of the International Association of Engineers-IAENG, Hong Kong since April 2010.
• Board of Studies Member in UG and PG courses of Information Technology in Bharadhidasan University, Trichy since 2009.
• Expert member in the interview panel in Vels University, June, 2011.
• Reviewer for Journal of IET Computer Vision.
• As Counselling officer for SRM Institute of Science and Technology (formerly known as SRM University) during 2005 – 2008
• As Counseling Coordinator for SRM Institute of Science and Technology (formerly known as SRM University), 2009.
• As Registration Coordinator for SRM Institute of Science and Technology (formerly known as SRM University), 2010.
• As Registration Coordinator for SRM Institute of Science and Technology (formerly known as SRM University), 2011.

1. Life member of the “Institution of Engineers in India” since 2019 (M-1659256).
2. Life Member of the Indian Society for Technical Education since 2002 (LM30367).
3. Member of Association of Computing Machinery (ACM) in the year 2018-2019 (3666123) and in the year 2023-2024 (9375929).

1. Head of Software engineering Department from August 2012 to July 2021.

2. Program Coordinator of Artificial Intelligence Program from Nov.2020 to till date