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Faculty Profile

Faculty Name: Dr. Shilpa B L

Designation: Associate Professor

Program: Computer Science and Engineering

Professional Experience: 13 Years

Teaching: 11 Research: – Industry: 2

Contact Details
Email ID Official: shilpabl.cs@atme.edu.in Personal: blshilpa@gmail.com
Vidwan ID https://vidwan.inflibnet.ac.in/profile/528310/NTI4MzEw
Google Scholar ID https://scholar.google.com/citations?user=hW4BDs4AAAAJ&hl=en
Scopus ID https://www.scopus.com/authid/detail.uri?authorId=57324169400
Orcid ID https://orcid.org/0000-0002-4597-738X
Web of Science Researcher ID KVC-0219-2024
LinkedIn ID www.linkedin.com/in/dr-shilpa-bl-710a1430

Academic Details

Qualification

  • Ph.D in Computer and Information Science, VTU, Belagavi. Research Center: Dept. of ISE, BMSCE, Bengaluru
  • M.Tech in Computer Science & Engineering, RV College of Engineering, Bengaluru. University: VTU, Belagavi
  • B.E in Computer Science and Engineering, SJBIT, Bengaluru. University: VTU, Belagavi

Membership in Professional Bodies
  • International Association of Engineers (IAENG): LM128365
  • International Computer Science and Engineering Society (ICSES)
  • Is a member of ‘Editorial Board’ of ‘Blue Eyes Intelligence Engineering and Sciences Publication’ and its journal(s) for year 2020-21.
  • Is a member of ‘Editorial Board’ of ‘Lattice Science Publication’ and its journal(s) for year 2020-21.

Research Areas of Interest
  • Predictive Analytics
  • Machine Learning
  • Artificial intelligence
  • Natural Language Processing
  • Data Science

Publications Details

International Journals:

  1. Have published an Q3 Web of Science Journal “Combined Deep Learning Classifiers for Stock Market Prediction: Integrating Stock Price and News Sentiments”, Kybernetes, 9th November 2021, DOI: https://doi.org/10.1108/K-06-2021-0457
  2. Shilpa B L, Shambhavi B R. (2022) “Structuring of Unstructured Data from Heterogeneous Sources”, Indian Journal of Science and Technology.15(41):2188 2193. (Web of Science) DOI: https://doi.org/10.17485/IJST/v15i41.1566
  3. Shilpa B L, Shambhavi B R, “Optimized Bi-GRU model-based Stock Market Prediction: Bigdata Consideration of Stock and News Data”, Journal of Harbin Engineering University, ISSN:1006-7043, Page no 2054-2060, August 2023 (Scopus Indexed, UGC Care group II) (Accepted)
  4. Shilpa B L, Shambhavi B R, “Intellectual Stock Market Prediction Approach from Integrated Social Media and Stock Price Data: A Bigdata Perspective”, ECTI Transactions on Electrical Engineering, Electronics, and Communications, (Scopus Indexed, SJR- Q4 Indexed) (Under Review)
  5. Harshitha B , Maria Rufina P , Shilpa B L, 2021, Systematic Pricing in Toll Roads using Unmanned Toll Collection Methods, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 10, Issue 08 (August 2021)
  6. Prashantha S, Shravan C Y, Bharath B, Bharghavachar B N, Shilpa B L, “Agricultural Crop Commodities Price Prediction using Machine Learning Techniques”, International Research Journal of Innovations in Engineering and Technology (IRJIET), Volume 4, Issue 6, pp 69-74, June 2020.
  7. Nireeshma R, Rashmi R, Sangeetha M, Spoorthi M E, Shilpa B L, “Plant Leaf Disease Detection and Automated Medicine using IoT”, International Research Journal of Engineering and Technology (IRJET), Volume 7, Issue 4, April 2020.
  8. Prashantha S, Shravan C Y, Bharath B, Bharghavachar B N, Shilpa B L, “A Survey on Crop Analysis and Agricultural Commodities Price Prediction using Machine Learning Techniques”, International Journal for Technological Research in Engineering (IJTRE), Volume 7, Issue 7, March 2020.
  9. Aishwarya B K, Nirmala S, Shruthi T, Srinidhi R, Shilpa B L, “ Sentiment Analysis and Authentication of User Ratings in E-Commerce Application”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Volume 7, Issue 2, April to June 2019
  10. Dhanush V Uttarkar, Sahana G S, Samrudh S Shetty, Spoorthi V, Shilpa B L, “ Stock Market Prediction using Deep Learning”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Volume 7, Issue 2, April to June 2019
  11. Shilpa B L, Dr. Shambhavi B R, “Predictive Analytics: Trends, Applications and Recommendations”, International Journal of Data Mining & Emerging Technologies (IJDMET) , Volume 8, No. 1, May 2018
  12. Megha K S, Meghashree, Shilpa B L, “A Survey on Early Fire Alarming Using Smoke Detection”, International Journal of Science Research in Computer Science Engineering and Information Technology (IJSRCSEIT) Volume 4, Issue 6, May- June 2018, pp 123-126.
  13. Shilpa B L,” A study on Performance Enhancement of Cloud-based Bigdata Analytics”, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol 4, Issue 5, May 2016.
  14. B.L, “Exploration and Analysis of Unstructured Business Data using Text Analytics-A Study”, International Journal of Emerging Technology and Advanced Engineering (IJETAE) Vol 5, Issue 7, July 2015, pp 106-108.

International/ National Conferences:

  1. Bhoomika M K, Hrushitha S, Inchara C, Sunaina K, Shilpa B L, “Deep Learning Based Aquatic Plant Species Detection”, National Conference on Emerging Trends in Science & Technology (NCETST-24) organized by Government Engineering College West Champaran, Patna, 26-27th April 2024.
  2. Shilpa B L, Shambhavi B R, “Deep Learning Models for Stock Market Prediction using Optimization Approach”, IEEE International Conference on Network, Multimedia and Information Technology (NMITCON-2023) in association with IEEE Bangalore section and VTU Belagavi, NMIT, Bengaluru, September 2023. (Scopus Indexed) Received Best Paper Award for the same.
  3. Shilpa B L, Dr. Shambahvi B R, “Stock Market Price Prediction by analyzing the sentiments of public using Deep Learning”, International Conference Data Science Machine Learning and Blockchain Technology- 2020 (AICDMB), VVCE, Mysuru, Feb 12-13 2020.
  4. Shilpa B L, Tejas R, Swathi N S,”Sentiment Analysis for Twitter Data”, National Conference on Recent Trends in Computer Science & Engineering ”, SJBIT, Bangalore, 09th May 2018.
  5. Keerthana S, Lalitha M P, Latha S, Nagapushpa R, Shilpa B L, “Summarization & Sentiment Analysis from User Health Post”, National Conference on Recent Trends in Computer Science & Engineering”, SJBIT, Bangalore, 09th May 2018.
  6. Megha K S, Meghashree, Shilpa B L, “A Survey on Early Fire Alarming Using Smoke Detection”, National Conference on Engineering Innovations & Solutions (NCEIS-2018), GSSSIETW, Mysuru, 7th May 2018
  7. Shilpa B L, Tejas R, Swathi N S, “Twitter Sentiment Analysis Techniques: A Survey”, National Conference on Recent Trends in Computer Science & Engineering and Technical Symposium-17”, SJBIT, Bangalore, 10th May 2017.
  8. Shilpa B.L, Sumukha V, Sphurthi C S, “A Survey on Twitter Sentiment Analysis”, National conference on Emerging Trends and Advances in Information Technology (NCET 2016) , AIT, Chikkamagaluru, Jan29-30, 2016.
  9. Chaitra D B, Shilpa B L, “Big Data: Issues, Challenges and Tools”, National Conference on Multimedia Technology and Communications System (NCMTCS 2015), MCE, Hassan, May 8-9 2015.
  10. Sangetha, Shilpa B L, “A Survey on Hadoop Distributed File System and its Applications”, National Conference on Advances in Computer Applications (NCACA 2013), SSIT, Tumkur, May 16-17, 2013.
  11. Dilip Kumar N S, Shanmuga Sundari, Shilpa B L, “Web Based Control and Status Monitoring of X-Band Doppler Weather Radar”, National Conference on Recent Trends in Engineering, East West College of Engineering, 2013
  12. Shilpa B L, “A Mechanism to Manage on Unstructured Data”, International Conference on On Demand Computing (ICODC 2012), Oxford College of Engineering, Bangalore, Nov 15-16, 2012, Proceedings published by IEEE and CSI chapter, ISBN 978-93-5087-502-5, pp.9-12.
  13. Shilpa B L, Harish G, “Structuring of Unstructured Data for Text Analytics”, National Conference on Recent Trends in Computational Sciences and Engineering (NCRTCSE 2011), KVG College of Engineering, Sullia, 12th Feb 2011.

Honours/Awards/ Achievements
  • Received Best Paper Presenter award at IEEE International Conference on Network, Multimedia and Information Technology (NMITCON-2023) in association with IEEE Bangalore section and VTU Belagavi, NMIT, Bengaluru, September 2023
  • Project titled “Crop Analysis and Agriculture Commodities Price Prediction using Machine Learning Techniques” was sponsored by Karnataka State Council for Science and Technology (KSCST) under 43rd Series of Student Project Programme: 2019-20
  • Received GATE Scholarship during 2009-2011 for PG Program.
  • Received Appreciation certificate from Management of GSSSIETW, Mysuru for 100% result for subjects Big Data Analytics and Storage Area Networks (VII – VIII Sem, ISE) B.E VTU Examinations held in Dec – Jan 2022-2023.

Courses Completed:

  • Successfully Completed NPTEL Online Certification Course on “Data Analytics with Python” during Jan-Mar 2021.
  • Successfully Completed NPTEL Online Certification Course on “Big Data Computing” during Aug-Oct 2021.

FDPs/Conferences/Workshops/STTP/MOOC Certification/Online Courses
  1. Participated and successfully completed Faculty Development Program on “Exploring Neural Networks and Advanced NLP Techniques”organized by Dept. of CSE (AI & ML), Nagarjuna College of Engineering and Technology, Bengaluru from 15th to 19th April 2024
  2. Attended Cognizant Tech talk series as part of Faculty Enrichment Program (FEP). held at Cognizant office, Bangalore during April 2023.
  3. Participated and successfully completed Faculty Development Program on “Cloud Computing” under TechSaksham program from 30th Jan to 3rd February 2023.
  4. Participated and successfully completed Faculty Development Program on “Artificial Intelligence” under TechSaksham program from 20th to 24th February 2023.
  5. Participated and successfully completed Faculty Development Program on “Introduction to Python Programming & its applications” organized by AICTE-VTU from 13th to 17th March 2023.
  6. Participated and successfully completed Faculty Development Program on “Introduction to Web Programming” organized by AICTE-VTU from 27th to 31st March 2023.
  7. Participated and successfully completed Faculty Development Program on “Introduction to Internet of Things” organized by AICTE-VTU from 17th to 21st April 2023.
  8. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Application Areas of Data Analytics” from 2021-10-23 to 2021-10-27 at Indian Institute of Information Technology-Allahabad.
  9. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Artificial Intelligence and Machine Learning” from 2021-10-04 to 2021-10-08 at National Institute of Technology, Raipur.
  10. Participated and successfully completed the one-week Faculty Development Program on “Big Data Computing” from NPTEL-AICTE during Aug-Oct 2021.
  11. Participated and successfully completed the Five-day National Level Online FDP on “AI for ALL” organized by the Department of Computer Science and Engineering, VVCE, Mysuru in association with ISTE from 20th to 24th September, 2021.
  12. Participated and successfully completed the one and half week Faculty Development Program on “Data Analytics with Python” from NPTEL-AICTE during Jan-April 2021.
  13. Attended a Webinar on Internet of Things using LoRa organized by the Department of Computer Science and Engineering, GSSSIETW, Mysuru on 17th September 2021.
  14. Participated in the “One Week FDP on Awareness Programme for Knowledge Enhancement of Software Systems, Quality aspects of Academics and Research (SS&QAR)” organized by the IQAC in association with Department of Computer Science and Engineering held during 23rd – 27th August 2021.
  15. Participated in one Week Online Faculty Development Program on “Emerging Paradigms in Artificial Intelligence and Data Science” organized by Department of Information Technology and Artificial Intelligence &Data Science, Vishwakarma Institute of Technology, Pune from 16th to 20th August2021.
  16. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Predictive Intelligence Models and its Applications” from 2021-07-12 to 2021-07-16 at National Engineering College.
  17. Participated & completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Research Trends in Computer Vision and Natural Language Processing” from 2021-07-19 to 2021-07-23 at The NorthCap University.
  18. Participated & completed successfully the FDP on the topic “Exploring Entrepreneurship & Startup Opportunities” organized by Sri Venkateshwara College of Engineering & Technology, Puducherry, from 5th to 9th July 2021.
  19. Completed “Three Day Training on SAS for Predictive Modelling” organized by A2Z Edu Learning Hub on 16th, 17th & 18th July 2021.
  20. Participated in the Webinar on SCIENCE OF BHAGAVAD-GITA by Prabhakar Ballapalle, Technologist, Western Digital & Director, Bhaktivedanta Institute, Bangalore conducted by the Department of Physics, GSSS Institute of Engineering & Technology for Women, Mysuru on 29th December, 2020 from 2.00 PM to 3.00 PM.
  21. Attended hands on workshop on Big Data Analytics at GSSS Institute of Engineering & Technology for Women, Mysuru in association with AIESEC IIT-Delhi and Geekslab Technologies Pvt. Ltd from 21st to 24th Jan 2019.
  22. Attended Two weeks Faculty Development Program on “Queuing Theory and Stochastic Process for Advance Systems” from 2/7/2018 to 13/7/2018 at BMS College of Engineering, Bengaluru.
  23. One day Workshop on “Massively Empowered Classrooms” on 18th January 2013 at Microsoft Research India.
  24. Attended Microsoft TechVista held in Taj Residency, Bangalore during Jan 2015.
  25. Attended Workshop on “LaTeX and its Applications” on 24th and 25th July 2015 held at SJBIT, Bangalore.
  26. Attended Workshop on “Managing Big Data” organized by Dept. of CSE, SJBIT, Bangalore during 3rd-4th March 2016
  27. Attended Six days Faculty Development Program on “Knowledge Discovery and Applications” from 18th to 23rd January 2016 at SJBIT, Bangalore.
  28. Attended Faculty Development Program on “Machine Intelligence and Image Processing” from 20th to 24th July 2015 at SJBIT, Bangalore.
  29. Attended Faculty Development Program on “Medical Data Mining and Analysis Using Open-Source Tools” from 5th to 7th September 2014 at SJBIT, Bangalore.
  30. Attended Six days Faculty Development Program on “Real Time WSN and Network Simulator” from 18th to 23rd July 2016 at SJBIT, Bangalore.

Academic and Administrative Activities

  • Have been a Reviewer for the Technical papers submitted to the Second IEEE International conference on Data Science and Information System (ICDSIS-2024) held between 17-18th May 2024, organized by Malnad College of Engineering, Hassan.
  • Delivered talk at [l-Spell] HM’s In-service Course of KVS conducted by ZIET Mysuru and gave a Lecture-cum-Practical session on the topic “Implementation of ICT Tools & Techniques for Teaching & learning” on 12.06.2022.
  • Have been a Reviewer for the Technical papers submitted to the first IEEE International conference on Integrated Intelligence and Communication Systems (ICIICS-2023) held between 24-25th November 2023, organized by Sharnbasva University, Kalaburagi.
  • Member of Reception committee for 3rd International Conference on “Adaptive Computational Intelligence (ICACI- 2022)” in association with Springer organized by GSSSIETW, Mysuru, during December 16 – 17, 2022.
  • Worked as NBA criterion 4 department level faculty coordinator during 2022-2024 at GSSSIETW.
  • Worked as Time Table coordinator from Sep 2022 to June 2024 at GSSSIETW.
  • Worked as College Level SPoC for NPTEL from Oct 2021 to June 2024 at GSSSIETW.
  • Worked as Department Level MOOC/ NPTEL coordinator since Dec 2021 to Sep 2022.
  • Worked as department faculty coordinator for NBA process during the year 2019.
  • Have been the Institute level faculty in charge for NIRF during the academic year 2018-19.
  • Worked as NBA criterion 2 department level faculty coordinator during the academic year 2018-19.
  • Have been a reviewer for the Technical papers submitted to the first International conference on Intelligent Computing (ICIC 2018) held between 25th and 27th October 2018, organized by Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Bengaluru.
  • Alumni faculty coordinator for CSE Dept., SJBIT, Bangalore.
  • Organized Six Days Faculty Development program on “Real Time WSN and Network Simulator” in July 2016.
  • Organized a Two day workshop on “Managing Big Data” in association with Algosquare InfoTech for Faculties and M.Tech Students on 4th and 5th March 2016.
  • Have accompanied 6th semester students for one day industrial visit to Wipro on 20th of April 2016.
  • Have been the Master of Ceremony (MC) for various events like FDP, Workshops, Orientation Program and 8th semester students Farwell program.
  • Member of Reception committee for the National Conference Recent trends in Computer Science and Engineering held in CSE department during May 2016
  • Event Coordinator for Alumni Meet 2016 at SJBIT
  • Delivered a talk on “Computer Graphics and Visual Basics” in a six days workshop for technical staff on “ NS-2 and Lab Programs of VTU Syllabus” at SJBIT
  • Member of discipline committee for VARCHASVA 15, 16
  • Event coordinator for GATE, GRE coaching classes during 2014-15 at SJBIT
  • Participated in intercollege mehndi competition
  • Lab in-charge of Computer Graphics and Visualization lab.
  • Guided several B.E and M.Tech projects, and worked as examiner for project work viva-voce.

Book/ Book Chapter Published 
  • Published a Book entitled “Python Programming” Published by Scientific International Publishing House (SIPH) with ISBN: 978-93-5757-799-1.
  • Publishing a Book Chapter Titled “Leveraging Natural Language Processing for Enhanced Pharmacovigilance in Reproductive Health”, Springer. (Accepted)