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Dr. G. Paavai Anand

Assistant Professor (S.G)

Department Of Computer Science And Engineering

Contact Information

  • Ph.D. Information & Communication Engineering
  • M.E.
  • B.E.

  • Machine Learning
  • Artificial Intelligence
  • Python Programming
  • Programming in Java
  • Software Engineering
  • Data Structures
  • Web technology
  • C Programming
  • Object-Oriented Programming
  • Neuro fuzzy and genetic programming
  • Pattern Recognition techniques
  • Statistical Machine Learning
  • Operating Systems
  • Data Science
  • Big Data Analytics

  • Machine Learning
  • Search Engines
  • Deep web search
  • Genetic Algorithms

  • G. PavaiE. Umamaheswari, & Geetha, TV 2013, ‘Concept-based personalised search and collaborative search using a modified HITS algorithm’, Lecture Notes in Computer Science, vol. 8284, pp. 652-662. [SNIP:0.776]
  • G. Pavai and Geetha, TV (2014), ‘A bootstrapping approach to classification of deep web query interfaces’, International Journal on Recent Trends in Engineering and Technology, vol. 11, no. 1, pp. 1–9
  • G. Pavai and Geetha, TV 2015, ‘New real-coded crossover operators for genetic algorithms based on incomplete dominance and gene memory”, Advances in Natural and Applied Sciences, vol. 9, no. 6, pp. 568–573
  • G. PavaiE. Umamaheswari, & Geetha, TV 2015, ‘Modified PageRank for Concept-Based Search’, Journal of Web Engineering, vol. 14, no. 5 and 6, pp. 503-524 [IF: 0.960]
  • C. Chinnu Mol Shivic, G. Pavai, & 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 [SNIP: 0.681]
  • G. Pavai & 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 [IF: 3.710]
  • G. Pavai & Geetha, TV 2017, ‘A survey on crossover operators”, ACM Computing Surveys (CSUR), vol. 49, no. 4, Article No. 72 [IF: 8.960]
  • G. Pavai & Geetha, TV 2019, ‘New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithms”, Soft Computing, Springervol. 23, no. 11, pp. 3661–3686 [IF: 3.140]
  • Mohamed Khalid, Shalini Singh, Kritika Singh, Janani Jeevitha and G. Paavai Anand (2018), ‘Medicus: A Doctor Appointment Booking System’, IJCAT: International Journal of Computing and Technology, Volume 5, Issue 4
  • Palak M. Jain, Shipra Singh, Nikita Singh, Nancy Hablani, and G. Paavai Anand (2018), ‘Face Recognition Attendance System’, International Journal of Computing and Technology, Volume 5, Issue 4, pp. 67–73
  • Logavithagi, Chandrasekaran, Rohit Gilda, and G. Paavai Anand (2018), ‘Classification and Recognition of Text in Static Images’, vol. 6, pp. 844–848
  • Atish Samantaray, Chandrashekhar Yadav, Aditya Dwivedi, and G. Paavai Anand (2018), ‘A Home Automation Control System using IoT with Arduino’, International Journal of Scientific Research and Review, vol. 7, no. 4, pp. 331-338
  • V. Sujatha, S. Prasanna Devi, and G. Paavai Anand 2019, ‘Predicting Survival Time of Diabetic Patients Using Machine Language and Statistical Techniques’, International Journal of Innovative Knowledge Concepts, vol. 7, no. 1, pp. 206-213
  • 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
  • Harsh Agrawal, Arup Patel, Aditya Bhosale, and G. Paavai Anand (2019), ‘Companion chatbot’, International Journal of Research and Analytical Reviews, vol. 6, no. 2, pp. 206-211
  • 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
  • Vishnu, Vikram, Jayakanthan, Likhita, and G. Paavai Anand (2019), ‘Traffic signal timing control using deep learning’, ACCENTS Transactions on Image Processing and Computer Vision, vol. 5, no. 17, pp. 27–32
  • J. Johin, R.K. Rohith, R.S.S. Yukesh Kumar, and G. Paavai Anand 2020, ‘Deduplication in Cloud Computing for Improvising Efficiency Towards Potential Practical Usage’, International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 4, pp. 2909–2913
  • 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. Ananya, Vanshika SandeepG. Paavai Anand, and N. Mahesh 2020, ‘Complementary Outfit Recommendation Using Deep Learning’, International Journal of Emerging Technologies and Innovative Research, vol. 7, no. 4, pp. 1520–1525
  • Shreeviknesh Sankaran, Sukavanan Nanjundan, and G. Paavai Anand, 2020, ‘Anyone GAN Sing’, International Journal of Emerging Technologies and Innovative Research, vol. 7, no. 5, pp. 25–29
  • 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
  • Abhishek Chandar, Akshay Srinivasan, and G. Paavai Anand (2021), “Favourable subpopulation migration strategy for travel salesman problem,” International Journal of Business Intelligence and Data Mining, DOI: 10.1504/IJBIDM.2022.10035424—Scope Indexed [SNIP: 0.379]

  • G. Pavai & Geetha, TV 2013, ‘A unified architecture for surfacing the content of deep web databases’, Proceedings of the International Conference on Advances in Communication, Network, and Computing 2013, DOI: 03.LSCS. 2013.1.82
  • SU. Shiny, G. Pavai and Geetha, TV 2015, ‘A modified BM25F for ranking online advertisements’, Proceedings of the International Conference on Electrical, Electronics, and Computer Engineering (ICEECE 2015)
  • C. Chinnu Mol Shivic, G. Pavai, & Geetha, TV 2015, ‘Automatic data extraction in deep web using bootstrapping approach’, Proceedings of the International Conference on Advances in Applied Engineering and Technology, ICAAET 2015
  • G. Pavai and Geetha, TV 2015, ‘A probabilistic approach to incrementally crawl the surface and deep web’, Proceedings of the First International Conference on Computational Methods and Software Engineering (CoMSE 2015)
  • Shubham Basavraj Kumbhar, K. Santosh Kumar, Prashant Goyal, G. Paavai Anand, Chamundeeswari, and N. Hari, ‘A web-based decision support system for diabetic patient service prediction modelled using linear regression analysis’, International Conference on Advanced Scientific Innovation in Science, Engineering and Technology (ICASISET 2018)
  • Sukavanan, S. Shree Viknesh, C.R. Arjun, and G. Paavai Anand (2019), ‘Identifying the Number of Clusters for K-Means: A Hypersphere Density-Based Approach’, 3rd International Conference on Computer, Communication, and Signal Processing (ICCCSP ‘19)
  • Anindita Sarkar, S. Ananya, Vanshika Sandeep, S. Megha, and G. Paavai Anand (2019), ‘Automated Descriptive Evaluation System’, 3rd International Conference on Computer, Communication, and Signal Processing (ICCCSP ‘19)
  • Purushotaman, E. Ushitashree, Saimani Bhargav, and G. Paavai Anand (2021), “Movie Recommendation System using Deep Autoencoder,”  International Research Conference on IoT, Cloud and Data Science (IRCICD2021)

  • Deep web survey
  • Survey on Out-of-Vocabulary problem in Machine translation
  • Emotion Recognition
  • Event details from WhatsApp messages

  • Information retrieval
  • Machine Translation
  • Emotion recognition and generation
  • Information extraction
  • Q&A system in Tamil

  • Assistant Professor, SRMIST, July 2017 –to date
  • Assistant Professor, Sri Venkateswara College of Engineering, from June 2010 to August 2010
  • Lecturer, Sri Venkateswara College of Engineering, from June 2008 to May 2010
  • Lecturer, Sri Venkateswara College of Engineering, from January 2007 to March 2007
  • Lecturer at SSM Engineering College from June 2004 to January 2006

CONFERENCES

  • Research conference on Data and Decision Science (2018) (organising secretary)
  • Research Conference on IoT, Cloud and Data Science (2019) (Organising Secretary)
  • Research Conference on IoT, Cloud and Data Science 2020 (Organising Secretary)
  • International Research Conference on IoT, Cloud and Data Science, 2021 (Organising Secretary)

FDP

  • Faculty Development Programme on “Problem Solving and Programmeming in Python” (August 2017)
  • Faculty Development Programme on “Deep Learning” (December 2018)
  • Faculty Development Programme on “Deep Learning” (May 2019)
  • Faculty Development Programme on “Analytics and Machine Learning: (November 2019)
  • Faculty Development Programme on “Data Science and Analytics: (December 2020)

WORKSHOPS

  • Workshop on “Data Analytics” (August 2018)
  • Workshop on “Machine Learning in Computer Vision” (August 2019)

  • “Android Application Development” for class 7 and 8 students of Chennai Public School, Thirumazhisai. (June 2019)
  • “Android Application Development” for class 7 and 8 students of Chennai Public School, Annanagar. (October 2019)
  • “Python Programming” for students from various schools (October 2019)
  • “Python Programming” for Polytechnic Students (January 2020)
  • Wednesday Webinar: April28, 2021

  • Guest Lecture on “Design Thinking in Artificial Intelligence” (August 2017)
  • “Paper Dropbox”: Paper Presentation Event (September 2017)
  • Streak: Coding Contest (August 2019)
  • Jury in “Internal Hackathon for Smart India Hackathon 2020” (January 2020)
  • Vazhikaati-Puthiya Thalaimurai Programme in Namakkal (January 2020)

  • A two-week FDP on “Digital Transformation in Healthcare” was conducted by SRM Easwari Engineering College from August  2 to August16, 2021
  • Two weeks of International FDP on “Trends and Challenges in Machine Learning and Deep Learning”—conducted by Easwari Engineering College—from May10 to May21, 2021
  • One-week FDP on “Data Science in Real-Time Applications,” held during November 23–28, 2020, conducted by Sreenidhi Institute of Science & Technology, Hyderabad
  • FDP on “ End-to-End Process on Data Analytics,” held on November 2–6, 2020 and conducted by SSN Engineering College, Chennai
  • Webinar on “Writing and Submitting Research Proposals to the Technology Development Programme (TDP)”, Department of Science and Technology, India” Organised by the School of Computing, SRM Institute of Science and Technology, Kattankulathur, on October 10, 2020, through online pedagogy
  • Six-Day Aicte-sponsored Online Short-Term Training Programme (STTP) on Recent Trends in Artificial Intelligence and Soft Computing III, held from September14 to 19, 2020, conducted by RMD College of Engineering
  • A webinar on “scientific writing for journals” was held on May 20, 2020, conducted by Springer Nature
  • A webinar on “The Power of a Teacher” was held on May4, 2020, and conducted by ICT Academy
  • Webinar on “Machine Learning” by IETE Mumbai in association with Pantech, May2, 2020
  • FDP on “Python and “R”—Conducted by Spoke Tutorial Remotely in Easwari Engineering College—20–30 April-2020
  • Webinar on “ How to Get Published in Scientific Journals: From Research to Publication” by Sri Sairam Institute of Technology, April27, 2020
  • Workshop on “Indutry Use Cases and Research in AI” (SRMIST, Vadapalani, 29-Jan-2020-2019)
  • FDP on “Block Chain and Beyond” (SRMIST, Vadapalani, 18-22-Nov-2019)
  • FDP on “Implementation of AI Algorithms in Gaming Using C Programming” (SRMIST Vadapalani, December19, 2019)
  • Two days of FDP on “Hands on Artificial Intelligence and Cloud Platforms” at St. Peters College of Engineering and Technology, 7–8, 2019
  • Workshop on “Basics of IPR and Procedures to File a Patent” (SRMIST Vadapalani, October14, 2019)
  • Workshop on “Women’s Safety” (SRMIST Vadapalani, March 30-2019)
  • Workshop on “Machine Learning in Computer Vision Using Python” (SRMIST Vadapalani, March27 27–28, 2019)
  • Guest Lecture on “A SHORT SURVEY ON GAME THEORY” at IIT Madras on March 8, 2019
  • Seminar on “ROLE OF BIGDATA INCYBER SECURITY” – S.A ENGINEERING COLLEGE – 7-
  • IET Industry Institution Summit, Hilton Chennai, 29-Sep-2018
  • Two days of hands-on training workshops on “Deep Learning Tools and Techniques: CEG, Anna University, September 26–27, 2018
  • Research paper writing with hands-on use of the LaTeX tool (SRMIST Vadapalani) from June28 to June29, 2018
  • Workshop on Data Analytics and Machine Learning, IIITDM Kanchipuram, June 18–22, 2018 to June22, 2018
  • Seminar on how to patent your invention: How to Patent Your Invention, SRM Institute of Science and Technology, Vadapalani, November14, 2017
  • FDP on Programming Paradigms, RMK Engineering College, April16, 2012
  • First International Conference on Computational Methods and Software Engineering: A Probabilistic Approach to Incrementally Crawling the Surface and the Deep Web, College of Engineering, Guindy, Anna University, December28 to 30, 2015
  • National Conference on Intelligent Computing, NCIC 2015: New Real-Coded Operators for Genetic Algorithms Based on Incomplete Dominance and Gene Memory, Pondicherry Engineering College, January30, 2015
  • Fourth International Conference on Communication, Network and Computing, CNC 2013: A Unified Architecture for Surfacing the Contents of Deep Web Databases, The Pride Hotel, Chennai, February22 to 23, 2013
  • Author Workshop on how to write and get published in Scientific Journals and publish manuscripts – How to write and get published in Scientific Journals and publish manuscripts – College of Engineering, Guindy, Anna University, Jan29, 2013
  • Author workshop on Book/Journal Publishing: How to Author Articles in Journals/Books, College of Engineering, Guindy, Anna University, September24, 2014
  • FDP on Instructional Design and Delivery System, Sri Venkateswara College of Engineering, to May16, 2009
  • FDP on Artificial Intelligence, Easwari Engineering College, Apr26, 2010 to May09, 2010
  • FDP on Cloud  Computing, Sri Venkateswara College of Engineering, June30, 2009

  • Anna University sponsored a six-day FTDP on “Big Data Analytics” from June7, 2021, to June12, 2021
  • AICTE sponsored a day-long STTP on “APPLICATION OF DEEP LEARNING TECHNIQUES IN REMOTE SENSING FOR MONITORING, MANAGING, AND CONSERVING NATURAL RESOURCES FOR THE SUSTAINABLE DEVELOPMENT OF THE NATION” (PHASE II) from February1, 2021, to February6, 2021
  • AICTE Sponsored: Six-Day Online Short-Term Training Programme for Faculty Members and Research Scholars on “Al-Enabled Augmented Analytics for Business Intelligence AI2ABI 2020”-Phase II from November2nd, 2020 to November7th, 2020
  • “Exploring Data Science With R: A One-Week International FDP on Artificial Intelligence and Data Science” at Easwari Engineering College, August24–30, 2020
  • “Hands-On Session in R and Python Online Workshop With Hands-On Session in R and Python” Annai College of Arts and Science, Kumbakonam, 10-14 July 2020
  • “Options in the Field of Computer Science and Engineering”: The Path Ahead Webinar, SRMIST Vadapalani, May 22, 2020
  • “Basics of Python Programming”: Python Programming Polytechnic Outreach Programme, January 24–25, 2020
  • “Network Programming in Python”—Winter School Bootcamp on Python Programming—SRMIST Vadapalani, December 26–30, 2019
  • “Information Retrieval and Extraction: Ontological Engineering and NLP Applications” (FDP on Computational Intelligence, St. Josephs Institute of Technology Chennai, 16–20, December 2019)
  • “Semi-Supervised and Reinforcement Learning AICTE-sponsored Faculty Development Programme on Artificial Intelligence and Advanced Machine Learning Using Data Science” (SA Engineering College Chennai, November 22, 2019–December 5, 2019)
  • “Basics of Neural Networks and Deep Learning”: FDP on Design and Implementation of Deep Learning in the Cloud, SRMIST Vadapalani, November 13–15, 2019
  • “Web Analytics: A Deeper Perspective” (FDP on Analytics and Machine Learning) at SRMIST Vadapalani, November 11–13, 2019
  • Guest Lecture on Python Programming, Alpha College of Engineering, Chennai, September28, 2019
  • “Workshop on Machine Learning in Computer Vision” (SRMIST Vadapalani, August8–9)
  • “Two-day national seminar on machine learning with hands-on workshop using the Weka tool and R programming” at RMD Engineering College, June17–18, 2019
  • IET SPONSORED FDP ON DEEP LEARNING, SRM IST Vadapalani May27, 28, and 29
  • FDP on “Deep Learning” (SRMIST Vadapalani), December3, 2018.
  • IET workshop on big data, Easwari Engineering College, 17-Sep-2018.
  • Guest Lecture on Machine Learning: Machine Learning Algorithms, Easwari Engineering College, December 22, 2017.
  • FDP on Problem Solving and Programming in Python: Python Programming Basics, SRMIST Vadapalani, September 8, 2017.
  • FDP on Machine Learning Using R-Programming: Classification Algorithms in Machine Learning, SRMIST Vadapalani, November 27, 2017.
  • National seminar on machine learning with hands-on workshop using Weka and R (machine basics), Weka Tool (SRMIST Vadapalani), January 24–25, 2018.
  • Workshop on Cloud-based Machine Learning Algorithms for Big Data Mining: Hands-on Training on the Weka Tool, College of Engineering, Guindy, Anna University, February 17–21, 2015.

  • Stress Management: NPTEL
  • Introduction to Big Data, University of California, San Diego, Courseera
  • Client Needs and Software Requirements University of Alberta, Courseera
  • Text Retrieval and Search Engines, University of Illinois at Urbana-Champaign, Courseera

  • Recipient of KECL (Central Government-Funded Stipend): August 2010 to June 2012
  • I got a university rank of 2 in M.E.
  • Recipient of the Anna Centenary Research Fellowship, January 2013 to December 2015
  • Received the “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 and Software Engineering (CoMSE 2015)
  • Published an article titled “A survey on crossover operators” with the prestigious journal “ACM Computing Surveys”
  • Received the “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)
  • I received the “Best Paper Award” for the paper “Anyone GAN Sing’ presented at the Research Conference on IoT, Cloud and Data Science (RCICD 2020)
  • I received the “Best Paper Award” for a paper presented at the International Research Conference on IoT, Cloud and Data Science (IRCICD 2021)

  • Member of ISTE, 2021
  • Member of Indian Science Congress Association (ISCA) from 2017