Ph.D.: Information and Communication Engineering, Anna University, 2017.
M.Tech.: SE, Bharathidasan University, Trichy, 2008.
B.E.: CSE, Shree Sowdambika College of Engineering, Anna University, Chennai, 2005.
Teaching Experience: 13 Years
Research Experience: 6 Years
Contact Number: +91 7373449798
Employee ID: 893
AICTE ID: 1-3578618987
JNTUH Registration ID: 2919-170120-152602
1. Software Engineering
2. Image Processing
- CSI Life Time Member
- ISTE – Life Time Member
- IETE – Life Time Member
- 1. Manoharan M, Subramani B, Ramu P. An optimal energy efficient routing in WSN using adaptive entropy bald eagle search optimization and density based adaptive soft clustering. Sustainable Computing: Informatics and Systems. 2024 Sep 1;43:101003. SCI Indexed, IF: 4.9
2. J. Digumarthi, V. M. Gayathri, and R. Pitchai, “Dilated U-Net model assisted Swin Patch deep convolutional network for enhanced segmentation and classification of cardiac arrhythmia,” Biomedical Signal Processing and Control, vol. 97, p. 106744, Nov. 2024, doi: 10.1016/j.bspc.2024.106744. SCI Indexed, IF: 3.8
3. Balamurugan N, Raja J, Pitchai R. Graph Modeled Oppositional Whale Optimization for Efficient Cloud Service Provision Using Virtual Network Mapping. Wireless Personal Communications. 2024 May 6:1-22. SCI Indexed, IF: 1.9
4. Jyothirmai D., Gayathri, V.M. & Pitchai, R. Cardiac arrhythmia detection from ECG signal using Siamese adversarial neural network. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-17071-5. SCI Indexed, IF: 3.6
5. J. Digumarthi, V. M. Gayathri, and R. Pitchai, “Recognition of Cardiac Arrhythmia using ECG signals and Bio-inspired AWPSO Algorithms,” Iraqi Journal for Electrical and Electronic Engineering, vol. 20, no. 1, pp. 95–103, Nov. 2023, doi: 10.37917/ijeee.20.1.10. Scopus Indexed.
6. Pitchai, R., Raja, J. & Babu, C.M. Removal of SP Noise Using Decision Based Adaptive Double Median Filter for Synthetic Aperture Radar Images. Wireless Pers Commun 131, 1475–1493 (2023). https://doi.org/10.1007/s11277-023-10495-0. SCI Indexed. IF 2.2.
7. R. Pitchai, N. Balamurugan, Nidthya D, Early detection of breast cancer using artificial intelligence for personalized healthcare, Journal of the Balkan Tribological Association, vol 29(3) 369 – 389, 2023, Scopus Indexed.
8. Kavitha B, R Pitchai, P Supraja, R Dhanalakshmi, Performance Enhancement of MANET based on Cross-layered Reconfigurable Hierarchical Routing Protocol, Journal of Scientific & Industrial Research, vol 82,No 3, 322-327. 2023, SCI Indexed, IF. 0.555.
9. Maravarman M S Babu, R Pitchai, Wireless Sensor Network Security Analysis for Data and Aggregation, Journal of Interconnection Networks, vol 23, No 2, p. 2250002, 2022, Scopus Indexed.
10. R. Pitchai, K. Praveena, P. Murugeswari, Ashok Kumar, M. K. Mariam Bee, Region Convolutional Neural Network for Brain Tumor Segmentation, Computational Intelligence and Neuroscience, 2022, 1-9, SCI Indexed, IF: 3.633
11. Gunasekaran, K., Pitchai, R., Chaitanya, G. K., Selvaraj, D., Annie Sheryl. A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs. BioMed Research International, 2022, SCI, Indexed. IF: 3.246.
12. R Pitchai, Bhasker Dappuri, PV Pramila, An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach, vol 2022, pp 1-9,2022. SCI Indexed. IF: 3.633.
13. Pitchai, R., Supraja, P., Sulthana, A.R. et al. MRI image analysis for cerebrum tumor detection and feature extraction using 2D U-ConvNet and SVM classification. Pers Ubiquit Comput 27, 931–940 (2023). https://doi.org/10.1007/s00779-022-01676-y. SCI Indexed, IF: 3.006.
14. Babu, C.M., Prabaharan, G. & Pitchai, R. Efficient detection of glaucoma using double tier deep convolutional neural network. Pers Ubiquit Comput 27, 1003–1013 (2023). https://doi.org/10.1007/s00779-022-01673-1. SCI Indexed, IF: 3.006.
15. S. Babu, Maravarman M, Pitchai R, Detection of Rice Plant Disease Using Deep Learning Techniques, Journal of Mobile Multimedia, Vol 8, No 3,pp: 757 -770. Scopus Indexed.
16. Raja J, Moorthi K, Pitchai R Removal of High Density Impulse Noise Using Adaptive Pulse Coupled Neural Network (APCNN) with Improved Alpha Guided Gray Wolf Optimization (IAgGWO) Technique in Transform Domain, Wireless Personal Communications, 2021, SCI Indexed IF: 1.061.
17. Raja, J., Shanmugam, P. & Pitchai, R. An automatic recognition of glaucoma in fundus images using deep learning and random forest classifier, Applied Soft Computing, (2021), Volume 109, pp.107512, SCI Indexed, IF. 6.725.
18. Moorthi K, Raja J, Pitchai R, Removal of salt and pepper noise from SAR images using optimized APCNN in Shearlet transform domain, Arabian Journal of Geosciences, 2021, SCI Indexed IF: 1.327.
19. Raja J, Shanmugam P, Pitchai R, An Automated Early Detection of Glaucoma using Support Vector Machine Based Visual Geometry Group 19 (VGG-19) Convolutional Neural Network, Wireless Personal Communications, pp 523-534, 2021, SCI Indexed IF: 1.061.
20. R Pitchai, CM Babu, P Supraja, MK Challa, Cerebrum Tumor Segmentation of High Resolution Magnetic Resonance Images Using 2D-Convolutional Network with Skull Stripping, Neural Processing Letters, 2020, vol 53, issue 4, pp 2567-2580, SCI Indexed, IF: 2.891
21. R Pitchai, P Supraja, AH Victoria, M Madhavi, Brain Tumor Segmentation Using Deep Learning and Fuzzy K-Means Clustering for Magnetic Resonance Images, Neural Processing Letters, 2020, vol 53, issue 4, pp 2519-2532, SCI Indexed, IF: 2.891
22. Pitchai, R. , Sharath Kumar, G. , Ashutosh Varma, D. , Madhu Babu, C.H, Potato Plant Disease Detection Using Convolution Neural Network, International Journal of Current Research and Review, 12(20), pp. 152-156, 2020. Scopus
23. Pitchai R, Reshma G, Raja J (2020), “An efficient packet image transmission based on texture content for border side security using sensor networks”,, Int. J. Computer Aided Engineering and Technology, Vol. 13, Nos. 1/2, pp 63-72. (Scopus Indexed)
24. Balamurugan N, Raja J, Pitchai R (2020), “Multicriteria Dragonfly Graph Theory based Resource Optimized Virtual Network Mapping Technique for Home Medical Care Service Provisioning in Cloud”, Peer to Peer Networking and Applications, Accepted., SCI Indexed, IF. 2.397. (Scopus Indexed)
25. Mukunthan P, Sendhilkumar N.C, Pitchai R (2020) “Design of New Reconfigurable Architecture for Implementing a Least Mean Square Finite Impulse Response Filter Using Borrow Select Subtraction (BSLS)” , Journal of Computational and Theoretical Nanoscience 17(4):pp. 1943-1948.
26. R. Pitchai, S. Babu, P. Supraja, S. Anjanayya “Prediction of availability and integrity of cloud data using soft computing technique” Soft Computing, (online), Sep 2019,Vol 23, No 18, pp 8555–8562, SCI Indexed, IF. 2.36.
27. J. Raja, N. Balamurugan, R. Pitchai, “Annealed Glowworm Optimization Graph Theory -Virtual Network Mapping for Home Healthcare in Cloud” Mobile Networks and Applications, (online), Nov 2019, 25, pp 609–619, SCI Indexed, IF. 2.39.
28. R.Pitchai, “Enhanced secure communication over inter-domain routing in heterogeneous wireless networks based on analysis of BGP anomalies using soft computing techniques”,Soft Computing, (online),APR 2019, Volume 23, Issue 8, pp 2735–2746, SCI Indexed, IF. 2.367.
29. R.Pitchai, “Deep Multimodal Biometric Recognition Using Contourlet Derivative Weighted Rank Fusion With Human Face, Fingerprint And Iris Images” Automatika,2019, Volume 60, Issue 3, pp253 -265, SCI Indexed, IF. 0.217.
30. P.Supraja, R.Pitchai, J.Raja ,“Spectrum Prediction in Cognitive Radio with Hybrid Optimized Neural Network”, Mobile Application and Networks (Springer), Apr 2019, Vol.24, no.2, pp.357–364, SCI Indexed, IF: 2.497.
31. S. Mageswari, R.Pitchai,” Heart Disease Prediction System using Decision Tree and Naive Bayes Algorithm”, Current Medical Imaging Reviews, Bentham Science Publishers, 2018, vol 15, Issue 8, pp 712-717, SCIE, IF: 0.308.
32. J.Raja, K. Gunasekaran, R.Pitchai, “Prognostic evaluation of multimodal biometric traits recognition based human face, finger print and iris images using ensembled SVM classifier” Cluster Computing, Jan, 2018, Volume 22, Supplement 1, pp 215–228, SCI, IF:1.1851.
33. P.Supraja, Gayathri VM, R.Pitchai, “Optimized Neural Network for Spectrum Prediction Using Genetic Algorithm in Cognitive Radio Networks” Cluster Computing, Jan 2018, Volume 22, Supplement 1, pp 157–163, SCI, IF: 1.851.
34. R.Pitchai, P.Supraja,J.Raja , “Education as a service through Cloud Book”, International Journal of pure and Applied Mathematics, vol. 116, no. 24,pp. 43-50,2017, Scopus Indexed, IF: 0.379.
35. R.Pitchai, P.Supraja,J.Raja , “Registering Grievances in District Office using Cloud System”, International Journal of pure and Applied Mathematics, vol. 116, no. 24,pp. 51-58,2017, Scopus Indexed, IF: 0.379.
36. R.Pitchai, S.Jayashri, J.Raja, “Searchable encrypted data file sharing method using public cloud service for secure storage in cloud computing”, Wireless Personal Communication (Springer), vol 90, no 2, pp 947-960, 2016, SCI Indexed, IF: 1.061
37. R. Pitchai, A. Hussain, S. Bharathchandran, “Online Voting System Using Cloud Computing”, CiiT International Journal of Biometrics and Bioinformatics, Vol 8, No 7, pp 206-209, 2016.
38. R. Pitchai, M. Praveen Kumar, S. Sarath Kumar, R. Raghu Raman “Avoidance of fire accident on running train using Zigbee wireless sensor network” , International Journal of Information and Computation Technology, Volume 3, Number 6, Pp 583-592, 2013. Citations:03
39. R.Pitchai , S.Jayashri, M. Praveen Kumar, J.Sabarinathan “Green it environment using virtualized cloud computing”, International Journal of Advanced Research in Data Mining and Cloud Computing Vol.1, Issue 4, October 2013.
S.No | Agency | Scheme | Title | Grant INR | Status |
1 | DST | NCSTC | Engage School Children to Develop Artificial Intelligence-based Solutions for societal problems through bootcamps in Medak District, Telangana. | 29.80 L | Completed |
2 | AICTE | AICTE STTP | STTP on IoT based Green Energy Systems. | 1.69 L | Completed |
3 | AICTE | AICTE Conference | International Conference | 2.13 L | Completed |
4 | TNSCST | SPS | Integrating Tele Medicine and Generating Generic Medicine Detail In Healthcare Institutions Using Cloud Computing | 10,000 | Completed |
1. M. Yashashwini, K. S. Kumar, R. Pitchai, K. S. Sai Sankeerth, G. Arun Prasath and D. Trinath, “Face Recognition Based Smart Door Lock System using Convolution Neural Network,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-6, doi: 10.1109/RMKMATE59243.2023.10368950.
2. J. Digumarthi, V. M. Gayathri and R. Pitchai, “Recognition of Heart Disease Based on Primitive Parameters Using Machine Learning Model,” 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2023, pp. 649-653, doi: 10.1109/ICECA58529.2023.10395049.
3. D. Nagasudha, B. Vanessa Thanmayi, B. Raghavi, A. Akash, C. Vaishnavi and R. Pitchai, “An Approach for Diabetic Retinopathy Using GNN,” 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 2408-2414, doi: 10.1109/IC3I59117.2023.10398143.
4. D. Ravalika and R. Pitchai, “Prediction of Diabetes using Binomial Logistic Regression,” 2023 4th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2023, pp. 918-923, doi: 10.1109/ICOSEC58147.2023.10276068.
5. R. Pitchai, P. Vaishnavi, P. Supraja, C. Shirisha and C. Madhubabu, “Automatic Classification and Detection of Maize Leaf Diseases using Machine Learning Techniques,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 406-410, doi: 10.1109/ICAISS58487.2023.10250601.
6. J. A. Kumar, N. Parimala and R. Pitchai, “Crop Selection and Yield Prediction using Machine Learning Algorithms,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 669-673, doi: 10.1109/ICAISS58487.2023.10250548.
7. D. Ravalika, R. Pitchai and C. M. Babu, “Improving the Quality of Software Solutions using Genetic Algorithm,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 998-1002, doi: 10.1109/ICAISS58487.2023.10250475.
8. M. Shabbeer, M. Pravalika, R. Pitchai and C. Madhubabu, “ARIMA – GRU Hybrid Model for Stock Exchange Forecast,” 2023 9th International Conference on Smart Computing and Communications (ICSCC), Kochi, Kerala, India, 2023, pp. 41-44, doi: 10.1109/ICSCC59169.2023.10335044.
9. M. Shabbeer, M. Pravalika, M. Likhitha, K. G. Leena, K. Sheshikanth and R. Pitchai, “Detection of Parkinson’s Disease and Its Severity Using Deep Learning,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 368-373, doi: 10.1109/ICIRCA57980.2023.10220677.
10. D. Jyothirmai, B. Vineela, R. Pitchai, B. Dinesh, M. Indhu and A. G. Avinash, “Data Leakage Detection Using Secret Key Exchange,” 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India, 2023, pp. 218-222, doi: 10.1109/ICECAA58104.2023.10212102.
11. M. Shabbeer, M. Pravalika, K. G. Leena, M. Likhitha, K. Sheshikanth and R. Pitchai, “Liver Disease Prediction Model Using SVM and Logistic Regression,” 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India, 2023, pp. 403-408, doi: 10.1109/ICECAA58104.2023.10212203.
12. Maravarman M; Babu S; Pitchai R “An Extended Agglomerative Hierarchical Clustering Techniques,” 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-8, doi: 10.1109/ACCAI58221.2023.10200398.
13. Maravarman M; Babu S; Pitchai R, “Analysis of Density-Based Methods for Selecting Cluster Heads,” 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10200590.
14. S. Patil, R. Pitchai, C. Madhubabu and Gunasekaran, “Know Your Customer (KYC) as a service for Business Process Management (BPM) using Cloud Computing,” 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2022, pp. 1-6, doi: 10.1109/ICSES55317.2022.9914162.
15. M. M. Hussain, G. Geetha and R. Pitchai, “Conceptual Idea for Implementing Automated Complaint Monitoring System for Rural Development,” 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2022, pp. 1-5, doi: 10.1109/ICSES55317.2022.9914042.
16. A. S, V. M. Gayathri and R. Pitchai, “Brain Tumor Segmentation and Survival Prediction using Multimodal MRI Scans with Deep learning Algorithms,” 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2022, pp. 1-5, doi: 10.1109/ICSES55317.2022.9914152.
17. S Rajashree, G. Karthika, R. Pitchai, Research and implementation of leach algorithm for wireless sensor Networks, “International Conference on Materials, Computing, Communication Technologies [ICMCCT 2022], Rivers Publications. 2023.
18. M.Sheerin Banu, R. Pitchai, N. Balamurugan, R. Krishna Kumari, Application of Machine Learning Techniques for Biomedical Diagnosis System, “International Conference on Materials, Computing, Communication Technologies [ICMCCT 2022], Rivers Publications. 2023.
19. D. Rajendra Prasad, Machhindranath M Dhane, R. Pitchai. A Shortesh Path Algorithm for Wireless Sensor Networks, “International Conference on Materials, Computing, Communication Technologies [ICMCCT 2022], Rivers Publications. 2023.
20. J. Digumarthi, V. M. Gayathri and R. Pitchai, “Early Prediction of Cardiac Arrhythmia using Novel Bio-inspired Algorithms,” 2022 8th International Conference on Smart Structures and Systems (ICSSS), 2022, pp. 01-04, doi: 10.1109/ICSSS54381.2022.9782178.
21. R. Deepika, P. B. Srikaanth and R. Pitchai, “Early Detection of Heart Disease Using Deep Learning Model,” 2022 8th International Conference on Smart Structures and Systems (ICSSS), 2022, pp. 1-4, doi: 10.1109/ICSSS54381.2022.9782295.
22. C. S. Jalda, A. Kumar Nanda and R. Pitchai, “Spoofing E-Mail Detection Using Stacking Algorithm,” 2022 8th International Conference on Smart Structures and Systems (ICSSS), 2022, pp. 01-04, doi: 10.1109/ICSSS54381.2022.9782173.
23. S. Babu, R. Pitchai, S. Anjanayya, Web log analysis using Spark with solution recommendation, Materials Today: Proceedings, 2021.
24. D. Abdus Subhahan, R. Pitchai, N. Mahboob Subani, Human health and activities maintainer, Materials Today: Proceedings, 2021.
25. Mahmood Shahul Hamid, S. Babu, R. Pitchai, Secure identity based proxy re-encryption techniques for healthcare system, Materials Today: Proceedings, 2021.
26. R. Pitchai, S. Anjanayya, M. Maravarman, Cloud computing based generic medicine recommendation system for advanced E-Healthcare, Materials Today: Proceedings, 2021
- P. SivaPadmini, M. BV Christiana, R. Pitchai, S. Kumar, and K. MurthyRaju, “Applications of Machine Learning in Education and Skill Developments,” Advances in Higher Education and Professional Development, pp. 28–59, Feb. 2024, doi: 10.4018/979-8-3693-0487-7.ch002.
- A. V. Agrawal, R. Pitchai, C. Senthamaraikannan, N. Alangudi Balaji, S. Sajithra, and S. Boopathi, “Digital Education System During the COVID-19 Pandemic,” Advances in Educational Technologies and Instructional Design, pp. 104–126, Jun. 2023, doi: 10.4018/978-1-6684-6424-3.ch005.
- S. D. Satav, D. S. Hasan, R. Pitchai, T. A. Mohanaprakash, S. J. Sultanuddin, and S. Boopathi, “Next Generation of Internet of Things (NGIoT) in Healthcare Systems,” Sustainable Science and Intelligent Technologies for Societal Development, pp. 307–330, Jan. 2024, doi: 10.4018/979-8-3693-1186-8.ch017.
- K. Pachiappan, K. Anitha, R. Pitchai, S. Sangeetha, T. V. V. Satyanarayana, and S. Boopathi, “Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing,” Advances in Computational Intelligence and Robotics, pp. 374–399, Nov. 2023, doi: 10.4018/978-1-6684-9999-3.ch015.
Sl No | Book Title | Publisher | ISBN Number |
1 | Software Architecture | BKF Publications | ISBN 978-81-956610-7-1 |
2 | Computer Architecture | BKF Publications | ISBN 978-81-956610-6-7 |
3 | Computer Programming | Sri Krishna Publications | ISBN 978-81-908908-4-7 |
- An Iot Based Smart And Efficient Wireless Power Transmission System , Patent Application No: AU 2020101733 A4, Publication Date: 17.09.2020, Granted Date: 17.09.2020, Patent Journal Name: Australian Patent Office
- Compact Multi-Functional Smart Laptop, Patent Application No: 201841002061 A, Publication Date: 26.01.2018, Patent Journal Name: Official Journal of the patent office.
- A Method For Color Image Segmentation Using Dynamic Histogram Based Rough-Fuzzy C Means, Patent Application No: 201841020507 A ,Publication Date: 26.06.2018, Patent Journal Name: Official Journal of the patent office.
- Machine Learning with Python in Data Science – Applications and Research Perspectives – Phase I, 24.08.2020 to 29.08.2020
- Machine Learning with Python in Data Science – Applications and Research Perspectives – Phase II, 07.09.2020 to 12.09.2020
- Machine Learning with Python in Data Science – Applications and Research Perspectives – Phase III, 09.10.2020 to 14.10.2020
- IoT Based Green Energy Systems, 14.09.2020 to 19.09.2020One Week Faculty Development Program on Advanced Deep Learning Techniques from December 11 to 15, 2019 at BVRIT, Narsapur.
- AICTE – ISTE sponsored FDP on “Refresher Course on Programming, Data Structures and Algorithms implementation using Python” from 16th July 2018 to 21st July 2018 at BVRIT, Narsapur.
- AICTE Sponsored Faculty Development Programme on Rapid Casting Techniques (A Hands-on Practice) 27th November 2017 – 9th December 2017 at GNIT, Hyderabad.
- Faculty Development Programme on “Big Data & Cloud Computing”, on 08 Dec 2014 to 12 Dec 2014, at Aditya Infotech Ltd., Nungambakkam, Chennai.
- Faculty Development Programme on “Service Oriented Architecture”, on 03 June 2013 to 08 June 2013, at Mepco Schlenk Engineering College, Sivakasi.
- Faculty Development Programme on “Cloud Computing”, on 06 May 2013 to 19 May 2013, at Government College of Technology, Coimbatore.
- Faculty Development Programme on “Free Open Source Software”, on 27th & 28th February 2013, at Karpaga Vinayaga College of Engineering & Technology, Kanchipuram.
- Workshop on “Mobile Cloud Computing”, on 10th & 11th January 2013, at Anna University College of Engineering, Guindy, Chennai.
- Workshop on “Cloud Computing”, during 12th to 14th September 2013, at Anna University, MIT Campus, Chennai.
- One day Research Series Workshop on “Research Methodologies and Technical Writing of Journal Papers & Research Theses”, on 11th August 2012, at Christ College of Engineering and Technology.
- One day National Workshop on “Advanced Technical Writing” on 26th July 2012, at Adhiparasakthi Engineering College, Melmaruvathur, Kanchipuram.
- Faculty Development Programme on “Effective Methodologies for Student Guidance and Counselling”, on 10th September
- Two days Seminar on “Wireless Sensor Networks and its Applications”, AICTE sponsored, on 20th & 21st July 2011, at Adhiparasakthi Engineering College, Melmaruvathur, Kanchipuram.
- Staff Development Programme on” Optimization Techniques in Power System problems” AICTE sponsored, during 1st to 15th June 2011, at Adhiparasakthi Engineering College, Melmaruvathur, Kanchipuram.
- One day Seminar on “Cloud Computing”, IETE sponsored, on 28th December 2010,at Adhiparasakthi Engineering College, Melmaruvathur, Kanchipuram.