Faculty & Staff
Contact
- Phone
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Dr. Pushphavathi
Associate Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Dr. Pushphavathi T P, is an Associate Professor in the Department of Computer Science and Engineering. She has received the B.E. in Computer Science and Engineering from SJCE, Mysore (1996), M.Tech in Computer Network Engineering from DSCE, Bangalore (2008) and secured university second rank. She received Ph.D. degree in Computer Science and Engineering from JAIN University (2016), Bangalore. Current research interests include Data Mining, Data Science, Artificial Intelligence and Machine Learning. She has 25+ years of professional experience, 4 years in industry and 22 years in teaching. She has conducted corporate trainings, seminars, workshops and invited talks in various organizations. Research papers published in journals and conferences by the IEEE, Elsevier, Springer, etc. She is a reviewer of Elsevier Applied Soft Computing, Springier-Artificial Intelligence. And supervising research scholars and guiding projects for graduate and undergraduate students. She is currently a member of the LMISTE,IEEE etc.
Qualifications
- Ph.D. (Data Mining)
JAIN University, Bangalore, 2016
- M.Tech (CNE)
Dayanadsagar College of Engineering, Bangalore, VTU Belgaum, 2008
- B.E (CSE)
Sri Jaychamarajendra College of Engineering, Mysore, Mysore University, 1996
Experience
Total Years of Experience24 Years 6 Months
Academic Experience
- Associate Professor, Department of Computer Science and Engineering, Ramaiah University of Applied Sciences (1st Jan 2023 continued).
- Associate Professor and Head, Department of Computer Science and Engineering, Ramaiah University of Applied Sciences (1st Oct 2021 to till 31st Dec 2022). (1 year 3 months)
- Associate Professor, Department of Computer Science and Engineering, Ramaiah University of Applied Sciences (1st Jan 2020 -31st July 2022). (1 year 6 months)
- Assistant Professor, Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences (August 2015 to Dec 2020). (4 years 4 months)
- Associate Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore (Jan 2013 to July 2015). (2 years 6 months)
- Assistant Professor, Department of Computer Science and Engineering, East West Institute of Technology, Bangalore (Aug 2007 to Dec 2012). (5 years 4 months)
- Lecturer, Department of Computer Science and Engineering, Vidya Vikas Educational Trust Polytechnic (June 2001 – Sept 2006) Bangalore. June 2001 – Sept 2006. (5 years 2 months)
Industry Experience
- Info life Technologies, Bangalore, worked as a Software Engineer (Feb 1997-April 2001) : 4 years 2 months.
Training Experience (With Topics)
- Two days training program conducted on “Artificial Intelligence and Machine Learning in Automotive Industries”, 11th and 12th November 2019, at TATA Motors Pune, Maharashtra.
- Data Science and Machine Learning for Scientific Insights and Discoveries.
- AI in Healthcare
- Interpretable Machine Learning for novel innovations
- Feature Engineering
- Social Media Analytics
- Data Mining
- Data Science
- Artificial Intelligence and Machine Learning
- AI in Healthcare
- Pushpavathi, T.P., Narasimman, S. (2022). Covid-19 Face Mask Detection Using Deep Learning Techniques. In: Chang, V., Kaur, H., Fong, S.J. (eds) Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Studies in Computational Intelligence, vol 1023. Springer, Cham. https://doi.org/10.1007/978-3-031-04597-4_4
- Pushpavathi, T.P., “Decentralised Cryptocurrency Wallet” in edited book Futuristic Trends in Artificial Intelligence, IIP_V2_2022_BS_09_01. ISBN: 978-93-95632-70-6.
- Nithin Bhushan, Pushphavathi T P, Harikrishna S M, 2021, Analysis and Contact Tracing in E-Campus, International conference on Recent trends in Communication and Intelligent Systems 2022(Springer Nature). Chapter Title :Analysis and Contact Tracing in E-Campus. Book Title: Recent Trends in Communication and Intelligent Systems. Chapter DOI: 10.1007/978-981-19-1324-2_18
- T P Pusphavathi, Shriya R Paladhi, Mohan Kumar R, ,Vinayak C Y, Deepshika Reddy A G,"Enhanced Possibilistic C-Means Clustering on Big Data While Ensuring Security",Springer.Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 15), September 2018. https://link.springer.com/chapter/10.1007/978-981-10-8681-6_53
- V. Ramaswamy, T. P. Pushphavathi, V. Suma, Position Paper: Defect Prediction Approaches for Software Projects Using Genetic Fuzzy Data Mining, Vol II, Page(s): 313-320, ISBN: 978-3-319-03094-4 (Print) 978-3-319-03095-1 (Online). https://link.springer.com/chapter/10.1007/978-3-319-03095-1_34
- V. Suma, T. P. Pushphavathi, V. Ramaswamy, An Approach to Predict Software Project Success Based on Random Forest Classifier, Vol II, Page(s): 329-336, ISBN: 978-3-319-03094-4 (Print) 978-3-319-03095-1 (Online). https://link.springer.com/chapter/10.1007/978-3-319-03095-1_34
- University II Rank in M.Tech (CNE) 2008, VTU Belgaum.
- Best Technical Paper Presentation award in International Conference on Total Engineering, Analysis & Manufacturing Technologies, Team Tech 2008, held at Indian Institute of Science, Bangalore.
- Best Session Paper award in International Conference on Data Mining, Computer, Communication & Mechanical Engineering, Dec 2012, Bangkok, Thailand.
- Best Research Paper Presentation award at JAIN University, August 2012 Bangalore.
- Faculty Distinction award in DBIT, May 2015, Bangalore.
- Senior Women Educator & Scholar Award in National Foundation for Entrepreneurship Development (NFED), 8th March 2016.
- Distinguished Speaker for the most prestigious event "2nd Global Summit on Earth Science and Climate Change" (Adv. ESCC 2023) on September 14-15, 2023.This conference will be held in London, UK.
National Conference Papers
- Pushpavathi T.P,Analysing defective modules by means of Softcomputing Techniques,National conference on “Research Aspects in Management & Entrepreneurship Development Perspectives”,NFED,Coimbatore,7th Feb 2015.
- Shashi kumar N.R, Pushpavathi T.P.,IT in Power Sector : A KPCL Implementation, National Symposium on Scenario of Scientific & IT in Power Electronic Systems, Dayanand Sager Institute, Bangalore, April 2008.
- Nandish U.G , Pushpavathi T.P, Advance handover in next generation of mobile winmax in IMT advanced system, Conference on evolutionary trends in information technology (CETIT-2011),20-22 May 2011. VTU, Belgaum.
- Radhika kulkarni, Pushpavathi T.P Improving QOS over WSN using Cognition Technologies, at Revamp’11 held 7-9 th April 2011. IEEE sponsored at Reva institute of technology and management, Bangalore.
- Sarika, Pushpavathi T.P , An acknowledgement based secured Intrusion detection systems for MANETS, National Conference in Emerging Trends in Electronic Communication (NCETEC-14), BGSIT, Bangalore.
- Divya, Pushpavathi T.P, EMAP: Expedite message authentication protocol using HMAC, National conference in NCCSET’14, Canara college of Engineering , Mangalore.
International Conference Papers
- A Savitha, Pushphavathi T Project Management and Capacity building for small satellites, 5th COSPAR Symposium, 16 - 21 April 2023, Singapore (accepted).
- Santoshi Kumari, Pushphavathi T P, Question Answering and Text Generation using BERT and GPT-2 Model, International conference on Computational Methods and Data Engineering- ICCMDE 2021(Springer). 25-26 November, VIT- Vellore, India.
- T. P. Pushpavathi, S. Kumari and N. K. Kubra, "Heart Failure Prediction by Feature Ranking Analysis in Machine Learning," 2021 6th International Conference on Inventive ComputationTechnologies(ICICT),2021,pp.915-923,doi:10.1109/ICICT50816.2021.9358733. https://ieeexplore.ieee.org/document/9358733
- T P Pushphavathi, "An approach for software defect prediction by combined soft computing",2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, (ICECDS),IEEE Conferences. Page s: 3003 - 3006. https://ieeexplore.ieee.org/document/8390007
- B S Meghana ; Santoshi Kumari ; T P Pushphavathi, "Comprehensive traffic management system: Real-time traffic data analysis using RFID",2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). Year: 2017, Volume: 2 Page s: 168 - 171, IEEE Conferences. https://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=%22First%20Name%22:%22T%20P%22&searchWithin=%22Last%20Name%22:%22Pushphavathi%22&newsearch=true&sortType=newest
- Pushphavathi, T.P. ; Suma, V. ; Ramaswamy, V. ,A novel method for software defect prediction: Hybrid of FCM and random forest, International Conference on Electronics and Communication Systems (ICECS), 2014 ,Date of 13-14 Feb. 2014,Page(s):1 – 5, IEEE. https://ieeexplore.ieee.org/document/6892743
- Hemant, P. ; Pushpavathi, T.P, A novel approach to predict diabetes by Cascading Clustering and Classification , Third International Conference on Computing Communication & Networking Technologies (ICCCNT), 2012 http://ieeexplore.ieee.org/stamp/stamp.jsp? tp=&arnumber=6396069&isnumber=6395857. IEEE.
- Ramaswamy, V. ; Suma, V. ; Pushphavathi, T.P.,An approach to predict software project success by cascading clustering and classification,DOI: 10.1049/ic.2012.0137 Publication Year: 2012 , Page(s): 1 – 8, Publisher:IET http://digital-library.theiet.org/content/conferences/2012/004.
- V. Suma, T. P. Pushphavathi, V. Ramaswamy,An Approach to Predict Software Project Success by Data Mining Clustering, International Conference on Data Mining, Computer, Communication & Mechanical Engineering,December 20-21,2012, Bangkok, Thailand.( Awarded as the Best Technical session Paper Presented). http://psrcentre.org/proceeding.php?catid=67&type=1&mode=detail,
- Shashi kumar N.R, Pushpavathi T.P., “Dynamic Cognitive Process : Application of Bloom’s Taxonomy for Complex Software Design in the Cognitive Domain”, International Conference on Total Engineering, Analysis & Manufacturing Technologies, Team Tech 2008, Indian Institute of Science, Bangalore. Sep/2008. (Awarded as the Best Technical Paper Presented). https://arxiv.org/pdf/1002.2829
International Journal Papers
- Kumari, S., Pushphavathi, T.P. Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis. Soc. Netw. Anal. Min. 13, 1 (2023). https://doi.org/10.1007/s13278-022-01005-4. Impact Score: 3.07, H-index: 38, SJR: 0.682, published by Springer-Verlag Wien. (Q1 Journal)
- Santoshi Kumari,T. P. Pushphavathi, Aspect-based Sentiment Analysis Using Fabricius Ringlet-based hybrid deep learning, International Journal of Image and Graphics, World Scientific. (Q1 Journal)
- Amith Hebbar, Pushphavathi T P, “A comparative approach for Foreign Object Detection in the Food Industry”, “Journal of East China University of Science and Technology”. Vol. 1 No. 43 (2022) (ISSN:1006-3080, SCOPUS Indexed. ). ISSN Online: 1392-5369
- Bhavana S, Pushphavathi T P, Crime Prediction with Geo Hotspots and Heatmaps using Machine Learning, vol.2 no 43(2022), SCOPUS Indexed. https://www.sumc.lt/index.php/se/article/view/1299.
- Pushphavathi T.P, PVR Murthy, Hybrid Privacy Preserving Clustering for Big Data while Ensuring Security, International Journal of Cloud Computing (IJCC), Inderscience Publishers. DOI: 10.1504/IJCC.2021.10033946.
- Pushphavathi T. P, Ramaswamy. V, Suma. V, “Analysis of Quality of Software Projects using Data Clustering Techniques”, International Journal of Computer Applications (IJCA),http://www.ijcaonline.org/proceedings,/aicwic/number2/9870-1312, https://pdfs.semanticscholar.org
- Pushpavathi T.P, Suma V, Ramaswamy V, Defect Prediction in Software Projects-Using Genetic Algorithm based Fuzzy C-Means Clustering and Random Forest Classifier, International Journal of Scientific & Engineering Research, Volume 5, Issue 9, September-2014, (ISSN 2229-5518). https://pdfs.semanticscholar.org/8d9f/3c361783f527c190b3c97493599bde8eed1c.pdf
- Pushpavathi T.P, Suma V, Ramaswamy V “Analysis of Software Fault and Defect Prediction by Fuzzy C-Means Clustering and Adaptive Neuro Fuzzy C-Means Clustering”, International Journal of Scientific & Engineering Research, Volume 5, Issue 9, September-2014, (ISSN 2229-5518). https://pdfs.semanticscholar.org/aec7/7780b823dba43649d6541ced4bc7263be821.pdf
- Pushpavathi T.P , Shashi kumar N.R ,GPRS based Video Streaming Surveillance System,(GVSS), International Journal of Applied Engineering Research. Bangalore, Dec/2008. ISSN: 0974-5882,Vol 1,Issue 1, Dec 2008. https://www.researchgate.net/publication/45901350_GPRS_Video_Streaming_Surveillance_System_GVSS
- Shashi kumar N.R, Pushpavathi T.P ,GPRS based Intranet Remote Administration [GIRA], International Journal of Research & Industry, Research. Journal-ref: Journal of Research and Industry, Volume 1, pp 36-39, 2008. https://arxiv.org/list/cs/1002?skip=310&show=100
- Pushpavathi T.P, Azmath Pasha M A,“Providing Message Authentication and Integrity Based on Elliptic Curves in Wireless Sensor Networks”, International Journal of Advanced Research in Computer Science and Software Engineering, 5(7), July- 2015, pp. 1012-1017. http://www.ijarcsse.com/index.php/ijarcsse
- Apoorva R Narendra, Pushpavathi T.P, "TCP NewVegas: A New Approach to Improve TCP Vegas performance by Delay Reduction and Increased Throughput over Manet’s”, International Journal for Technological Research in Engineering Volume 2, Issue 12, August-2015 ISSN (Online): 2347 – 4718. ijtre.com/images/scripts/2015021206.pdf
- LMISTE : LM 76663
- IEEE : 96893469
- ORCID : 0000-0003-2322-1378
- Scopus Author ID : 55793547100
- Google Scholar : _C2WOFYAAAAJ
- Inflibnet : Vidwan-ID: 105526
- Pushpavathi T P, “Method and System to Find Anomaly Detection in Medical Records”, Application No.202241002593A, Indian patent published in 28/01/2022.
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