Full Time Researcher - CEG, Anna University, from 2012 – 2017
Assistant Professor, Sri Venkateswara College of Engineering, from June 2010 to August 2010
Lecturer, Sri Venkateswara College of Engineering, from January 2007 to May 2010
Lecturer at SSM Engineering College from June 2004 to January 2006
Received Second Prize in “All India Camel Color Contest” in School.
Recipient of - KECL – Central Government funded Stipend –August 2010 to June 2012. – [Worked part-time in Tamil Computing Lab, Anna University for Stipend]
Got University Rank–2 in M.E.
Recipient of - Anna Centenary Research Fellowship – January 2013 to December 2015.
Received “Best Paper Award” for the paper “A probabilistic approach to incrementally crawl the surface and deep web” presented in the 1st International Conference on Computational Methods & Software Engineering (CoMSE 2015).
Published an article titled “A survey on crossover operators” with the Prestigious Journal “ACM Computing Surveys”.
Received “Best Paper Award” for the paper “Application of growing neural gas as a validation function” presented in the Research Conference on IoT, Cloud and Data Science (RCICD 2019).
Received “Best Paper Award” for the paper “Anyone GAN Sing’ presented in the Research Conference on IoT, Cloud and Data Science (RCICD 2020).
Received “Best Paper Award” for a paper presented in the International Research Conference on IoT, Cloud and Data Science (IRCICD 2021).
CERTIFICATE OF APPRECIATION – from Vice Chancellor, SRMIST for Teaching and Research during the period 2021-22
Top 5% Performer and Gold category In NPTEL course – Introduction to Machine Learning – 2022
Received “Best Paper Award” for the paper “Advanced Email-based Event Management Application” - in National Conference on Technology for Society [NCTS’23]
Received “Best Paper Award” for the paper “Base Paper Jarvis Assistant” - Presented in National Conference on Technology for Society [NCTS’23]
Top 5% Performer and Gold category In NPTEL course – Big Data Computing– 2025
Top 1% Performer and Gold category in NPTEL course – Design Thinking – A Primer
Introduction to Quantum Computing: Quantum Algorithms and Qiskit - NPTEL course – Successfully completed
Dr. Paavai Anand G, Dr. M. Kiruthiga Devi, “System and Method for Contextual Semantic Disambiguation Using Quantum Superposition States for Tamil and Low-Resource Languages” – Filed for Indian Patent.
Dr. Paavai Anand G, R. Ramya, Srinivas M, “A System And Method For Information Extraction And Knowledge Organization In Biomedical Literature”, Publication Date: 28.11.2024,
Pavai, G, Umamaheswari, E & Geetha, TV 2013, ‘Concept based personalized search and collaborative search using modified HITS algorithm’, Lecture Notes in Computer Science, vol. 8284, pp 652-662.
Pavai, G, Umamaheswari, E & Geetha, TV 2015, ‘Modified PageRank for concept based search’, Journal of Web Engineering, vol. 14, no. 5&6, pp. 503-524 [SCI]
Chinnu mol shivic, C, Pavai, G & Geetha, TV 2015, ‘Automatic data extraction in deep web using bootstrapping approach’, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 2150-2155
Pavai, G & Geetha, TV 2017, ‘Improving the freshness of the deep web data using incremental crawler’, Information Systems Frontiers – Springer, First Online: 15 September 2016, DOI: 10.1007/s10796-016-9701-7 vol. 19, no. 5, pp 1013–1028 [SCI]
Pavai, G & Geetha, TV 2017, ‘A survey on crossover operators”, ACM Computing Surveys (CSUR), vol. 49, no. 4, Article No. 72 [SCI]
Pavai, G & Geetha, TV 2019, ‘New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithms”, Soft Computing – Springer, vol. 23, no. 11, pp. 3661–3686 [SCI]
Abhishek Chandar, Akshay Srinivasan, G. Paavai Anand 2021, “Favourable subpopulation migration strategy for Travelling salesman problem”, International Journal of Business Intelligence and Data Mining, DOI: 10.1504/IJBIDM.2022.10035424.
N Hariharan, AG Paavai 2022, “A Brief Study of Deep Reinforcement Learning with Epsilon-Greedy Exploration” International Journal of Computing and Digital Systems 11 (1), 541-552
P Srikanth, E Ushitaasree, SMB Bhattaram, G PaavaiAnand 2022, “Movie Recommendation System Using Deep Autoencoder” 2021 IEEE Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
K. Singh, V. Naren, R. S. Thillak, and G. P. Anand, “Real-Time Car Sharing and Car Rental Portal,” Advances in Science and Technology, vol. 124. Trans Tech Publications Ltd, pp. 851–855, Feb. 27, 2023
Niveditha. S, Paavai Anand G, 2025, “MORPHEME MASTERY FOR TAMIL QA: HARNESSING THE WISDOM OF NANNŪL FOR ACCURATE ANSWERS”, Journal of Theoretical and Applied Information Technology - 103(6), pp. 2491-2507
Niveditha. S, Paavai Anand G, 2025, “MORPHEME MASTERY FOR TAMIL QA: HARNESSING THE WISDOM OF NANNŪL FOR ACCURATE ANSWERS”, Journal of Theoretical and Applied Information Technology - 103(6), pp. 2491-2507
Paavai Anand G, Sundaram, R., Raja, S.K., Kalpana, P. 2025, “Efficient Information Extraction from Medical Records” Communications in Computer and Information Science, 2360 CCIS, pp. 166-179
Sharma, R., Ambasta, H.,Tonio, S.A., Paavai Anand G, 2025, “Vector Quest: A Faster and Better Open-Domain Question-Answering System” Communications in Computer and Information Science, 2385 CCIS, pp. 45-55
Kaliyaperumal Vaidhya., Paavai Anand G, 2025, “A Machine Learning Approach for Indian Sign Language Recognition Utilizing Bert and LSTM Models”, International Journal of Computational and Experimental Science and Engineering, 11(1), pp. 1411-1419
Kaliyaperumal Vaidhya., Paavai Anand G, 2025, “A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and , Speech-Impaired Communities”, Sensors - MDPI, 25(12) [SCI]
Paavai Anand G, Mohammed, Y., Shreya, K.S.,Dharshini, H., 2024, “Green Chameleon Algorithm: A New Bio-Inspired Meta-Heuristic Algorithm to Solve the Traveling Salesman Problem”, Lecture Notes in Networks and Systems, 1147 LNNS, pp. 501-514
Niveditha S, and Paavai Anand G, "IMQuAD: A Tamil QA Dataset for the Question-Answering Systems Evaluated on FidelityFit: An Enhanced Contextual Evaluation Metric for QA Systems," IAENG International Journal of Computer Science, vol. 52, no. 10, pp3732-3745, 2025
Subin Duresh, M. John Wesley, Utkarsh Agarwal, and G. Paavai Anand (2019), ‘Stock Market Prediction using Deep Learning and Sentiment Analysis’, International Research Journal of Engineering & Technology, vol. 6, no. 5
Shreyas Keelary, Ajay Vishaal, S. Jeyendra, Saket Suman, and G. Paavai Anand (2019), ‘Application of growing neural gas as a validation function’, International Journal of Research and Analytical Reviews, vol. 6, no. 2, pp. 126–132
Purushothaman Srikanth, E. Ushitaasree, and G. Paavai Anand, 2019, ‘Conversational Chatbot with Attention Model’, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 9, no. 2, pp. 3537–35540
Oviya Selvaraj, Anuradha Konatham, and G. Paavai Anand 2020, ‘Youtube Spam Comments Detection’, International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 4, pp. 420–424
S. Rama, G. Paavai Anand 2020, ‘Attention-Based Translation for Out-of-Vocabulary Problems’, International Journal of Advanced Science and Technology, Vol. 29, No. 08 (2020), pp. 2287–2291
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
