Dr. Manjula Ramannavar
Educational qualification
B.E. in CSE
M.Tech. in CNE
MBA in HRM
Ph.D. in Computer & Information Sciences
Total Experience: 20 years
Area of Interest:
Artificial Intelligence & Machine Learning, Big Data, Analytics, Natural Language Processing, Semantics
Subject Handled · Compiler Design, Data Structures, Advanced Algorithms, Python Programming, System Simulation and Modeling, Object Oriented Programming using C++, Theory of Computation
Patents Published
- “AI Based Glucose Monitoring System” – 2024
- “Vehicle Density Based Smart Traffic Control System with Prioritization for Emergency Vehicle” – 2023
Accomplishments
- Won Rising Women of India Award from Friendship Forum, India, on 14th May 2024.
- Awarded as Leading Educationist of India 2024 from Friendship Forum, India.
- Awarded Outstanding Woman Researcher in Artificial Intelligence at the 9th Venus International Women Awards – VIWA 2024 on the 2nd of March 2024 at Chennai, India.
- Secured Second Rank to Visvesvaraya Technological University – VTU, Belagavi, Karnataka, India, for Master of Technology (M.Tech.). in Computer Network Engineering
- Won the Best Paper Award for Paper titled “Big Data and Analytics – A Journey through Basic Concepts to Research Issues” presented at Springer International Conference on Soft Computing Systems (ICSCS) conference held at Tamil Nadu, India
- Awarded a ANITAB.org GHC – Grace Hopper Celebration Faculty Scholarship to attend the virtual component of the 2022 Grace Hopper Celebration, from 20th to 23rd Sep 2022; the event was held at Orlando, US.
- Selected for and participated in Teaching and Learning Studio workshop from Stanford University Hasso Plattner Institute of Design (d.school), the first of its kind in India, from June 21 to 24, 2017, Bengaluru. Also organized sessions and was the resource person too for GIT faculty and students.
- Selected for and participated in the 7th Summer School on AI at IIIT, Hyderabad from 9th of July 2023 to 15th of July, 2023, at IIIT, Hyderabad.
Conference/Journal Publications
- Ramannavar M, Math M.M., (2023), “’Turning Straw into Gold’, using Semantic and Big Data Technologies for Competence Mapping”, 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023, 2023-June, pp. 2852–2862
- Ramannavar M., Sidnal N.S. (2018) “A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics”. In: Aggarwal V., Bhatnagar V., Mishra D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore
Available at: https://link.springer.com/chapter/10.1007/978-981-10-6620-7_32 - Ramannavar M., Sidnal N.S. (2016) “Big Data and Analytics—A Journey Through Basic Concepts to Research Issues”. In: Suresh L., Panigrahi B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi
Available at: https://link.springer.com/chapter/10.1007/978-81-322-2674-1_29 - Ashlin Deepa R N, S. Sankara Narayanan, Adithya Padthe and Manjula Ramannavar, “A Reduced Feature-Set OCR System to Recognize Handwritten Tamil Characters using SURF Local Descriptor” International Journal of Advanced Computer Science and Applications(IJACSA), 14(10), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141036
- Huddar M., Ramannavar M., Sidnal N.S., “Scalable Distributed First Story Detection Using Storm for Twitter Data”, IEEE 2014 International Conference on Advances in Engineering and Technology Research (ICAETR), 1stand 2nd August 2014, Kanpur, Lucknow. Available at: https://ieeexplore.ieee.org/document/7012915
International Journals
- Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “A Big Data and Semantics Assisted Knowledge Representation Model for Skill Mapping using Qualitative Approach, Hinweis Science and Engineering Vol.1, Issue 1, January 2023
Available online at: http://dl.thehinweis.com/journals-details.php?id=21&title=Hinweis%20 Science%20and%20Engineering
- Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “Turning Straw into Gold”, using Semantic and Big Data Technologies for Competence Mapping, Grenze International Journal of Engineering and Technology, Volume 9 Issue 1 (January 2023 Issue), 2395-5295(Online); 2395-5287(Print). Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=1765&id=8
- Ramannavar M., Shrihari Joshi, “Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models”, International Journal of Innovative Research in Computer and Communication Engineering, Volume 9, Issue 6, June 2021
- Kalghatgi M., Ramannavar M., Sidnal N.S., “A Neural Network Approach to Personality Prediction based on the Big-Five Model”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163, issue 8, Volume 2, August 2015.
https://www.ijirae.com/volumes/Vol2/iss8/09.AUAE10095.pdf
- Kudatarkar V., Ramannavar M., Sidnal N.S., “An Unstructured Text Analytics Approach for Qualitative Evaluation of Resumes”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 issue 8, Volume 2, August 2015. https://www.ijirae.com/volumes/Vol2/iss8/10.AUAE10097.pdf
- Kalghatgi M., Ramannavar M., Sidnal N.S., “Social Network Sourced Big Data Analytics for Personality Prediction – A Review”, International Journal of Emerging Technology in Computer Science and Electronics (IJETCSE) Journal Vol 14, Issue 2, April 2015 https://www.ijetcse.com/admin/uploads/Social-Network-Sourced%20Big%20Data%20 Analytics%20for%20Personality%20Prediction:%20A%20Review_1605529778.pdf
- Kudatarkar V., Ramannavar M., Sidnal N.S., “A Survey on Unstructured Text Analytics Approach for Qualitative Evaluation of Resumes” IJETCSE Journal Vol 14, Issue 2, April 2015 https://www.ijetcse.com/admin/uploads/A%20Survey%20on%20Unstructured%20Text%20Analytics%20Approaches%20for%20Qualitative%20Evaluation%20of%20Resumes_1605527484.pdf
- Vandure S., Ramannavar M., “Trend Projection using Predictive Analytics”, reference ID: pxc3897807, International Journal of Computer Applications (IJCA) July 2014 Edition. https://www.ijcaonline.org/archives/volume97/number19/17119-7807
- Huddar M., Ramannavar M., “A Survey on Big Data Analytical Tools”, International Journal of Latest Trends in Engineering and Technology (IJLTET), Special Issue – IDEAS-2013, ISSN: 2278-621X http://www.ijltet.org/issues/special-issue-ideas13/
https://www.researchgate.net/publication/311789342_A_Survey_on_Big_Data_Analytical_Tools\
- Jagtap M, Ramannavar M., “Authentication in Wireless Sensor Networks using Virtual Certificate Authorities”, International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, ISO 9001:2008 Certified Journal), Volume 2, Issue 11, November 2012
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.414.320&rep=rep1&type=pdf
International Conferences
- Manjula Ramannavar, “Big Data Analysis using Semantic and Advanced Analytic Approaches” in the 9th Annual Women’s Meet – AWM 2024 (Scientific Conference ISBN: 978–81–969897–4–3 | Theme: To Cultivate Research Spirit and Create a Vibrant Community of Women in Science and Technology), Centre for Women Development, Venus International Foundation, 2/3/2024
- Manjula Ramannavar, Dr. Mallikarjun M. Math and Dr. Padmavati S. Dandannavar, “Turning Straw into Gold using Semantic and Big Data Technologies for Competence Mapping”, at International Hybrid Conference on Advanced Research in Engineering and Technology (ARET), Kolkata, India during December 10-11, 2022 (Publication of Proceedings to be Scopus Indexed)
- Ramannavar M., Sidnal N.S., “A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics”, Computer Society of India (CSI) 50th Golden Jubilee Annual Convention, Delhi, 2nd– 5th December 2015
- (Best Paper Award)Ramannavar M., Sidnal N.S., “Big Data and Analytics – A Journey through Basic Concepts to Research Issues”, Springer International Conference on Soft Computing Systems (ICSCS), Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, 20th and 21st April 2015
- Kalghatgi M., Ramannavar M., Sidnal N.S., “Social Network Sourced Big Data Analytics for Personality Prediction – A Review”, International Conference on Emerging Trends in Engineering Sciences (ICETES), Jain College of Engineering, Belagavi, 25thApril 2015
- Huddar M., Ramannavar M., Sidnal N.S., “Scalable Distributed First Story Detection Using Storm for Twitter Data”, IEEE 2014 International Conference on Advances in Engineering and Technology Research (ICAETR), 1stand 2nd August 2014, Kanpur, Lucknow Available at: https://ieeexplore.ieee.org/document/7012915
National Conferences
- Huddar M., Ramannavar M., “A Survey on Big Data Analytical Tools”, Innovative Developments and Emerging Research Avenues- IDEAS-13, 11thof Oct, 2013, KLS Gogte Institute of Technology, Belagavi.
- Vandure S., Ramannavar M., “Big Data and Analytics – A Review of Big Data, Analytics and Techniques for Predictive Analytics” Innovative Developments and Emerging Research Avenues- IDEAS-13, 11thof Oct, 2013, KLS Gogte Institute of Technology, Belagavi.
Certifications
- Certified for having undergone Innovation Ambassador(IA) training, “Foundation Level” (Total 15 sessions of 30 contact hours), conducted in online mode by MoE’s Innovation Cell, Govt. of India & AICTE during the calendar year 2021-22, issued on 7/10/2022
- Certified as “IBM Certified Associate Developer”for Websphere Studio V5.0 by IBM.
- Earned a badge from AWS Academy on completion of the “AWS Academy Cloud Foundations”Course on 14th of January 2022
- Earned a badge from IBMon completion of the “Big Data Fundamentals” Course on 4th of April 2016
Workshops Organized and Participated
- Organized 40+ Innovation and Entrepreneurship related activities including idea competitions, mentoring sessions, industry visits, expert talks, day celebrations, etc.
- Organized 55+ activities at the department and college level including expert talks, workshops, orientation sessions, FDPs, etc.
- Participated in 65 training programs including FDPs, workshops, seminars, webinars, etc.