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Punitha Puttuswamy

Dr Punitha Puttuswamy BSc, MSc, PhD

Lecturer in Computer Science

Dr Punitha Puttuswamy is a Lecturer within the School of Computing and Mathematical Sciences department at 杏吧app下载 University with over two decades of cumulative experience in academia, research & development and IT industry.

She has previously served in the capacities of:

  • Adjunct Professor and Professor at Dayananda Sagar University, Bangalore, India
  • Professor and Head, Key Resource Person, PES Institute of Technology, Bangalore India
  • Project Associate, Lecturer, University of Mysore, Mysore, India
  • Postdoctoral Research Associate, University of Glasgow, Scotland
  • Associate Director, First American India, Bangalore, India
  • Group Manager, IBM Pvt Ltd, Bangalore India
  • Technical Manager, Technical Staff, HCL Technologies, Bangalore, India

Dr Puttuswamy is a Subject Matter Expert with two decades of exceptional experience in Computer Vision, Artificial Intelligence and Machine Learning. She has a Technical-Astute towards innovation and research, and has, 5 US patents, 70+ research publications, 15+ technology bulletins, 5 books, and 50+ invited talks on National/International platforms. She has contributed to business transformation in various industry verticals during her IT career.

She has supervised PhD students and welcomes proposals from prospective PhD students. Dr Puttuswamy has been an advisory/program committee member of many AI related conferences and a reviewer of many international journals and conferences.

She was awarded her PhD, MSc, BSc from University of Mysore in 2006, 2001 and 1999 respectively. She is rank holder and worked on Spatial reasoning and Advanced Data Structures for image archival and retrieval for her PhD award.

Computer science

Responsibilities within the university
  • Module Leader: COMP1880 Data Science for Medical Applications
  • Co-Module Leader: COMP1819 – Algorithms and Data Structures
  • Tutor and Moderator: COMP1828 – Advanced Algorithms and Data Structures
  • Tutor: COMP 1811- Paradigms of Programming
  • Pastoral care and Tutoring
  • Project supervisor- UG and PG

Awards
  • 'Young women achiever award' – Awarded by Dayananda Sagar Institutions on the occasion of ‘Women’s day – Celebrating Women in Tech’, Bangalore, India (2019)
  • 'IBM’s Eminence and Excellence award' – IBM, Pvt, Ltd, Bangalore, India, 2018
  • Light motor vehicle and Heavy motor vehicle classification from traffic videos. Third best presentation and demo. State Level project exhibition organized by MSRIT, Bangalore on June-2013
  • Vehicle Density detection-based traffic signal automation helpful for precise signal time allocation. Best student innovation award in Poster category. IIT-Bombay, 2010
  • Rank Holder, Masters in Computer Science, University of Mysore, 2001

Research / Scholarly interests
  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • Advanced Data Structures

Recent publications

Peer reviewed Journals

  • Dhanya Bibin, Madhu S Nair, Punitha P., Malaria Parasite Detection from Peripheral Blood Smear Images using Deep Belief Networks. Journal of IEEE-Access  May 2017, 9099 - 9108. ISSN: 2169-3536
  • P. Punitha and D. S. Guru, Symbolic image indexing and retrieval by spatial similarity: An approach based on B-tree. Journal of Pattern Recognition, Volume 41, Issue 6, June 2008, Pages 2068-2085. 2007
  • P. Punitha and D.S.Guru, An effective and efficient exact match retrieval scheme for image database systems based on spatial reasoning: A logarithmic search time approach. IEEE transactions of Knowledge and Data Engineering, 2006, Vol. 18, No. 10, 1368-1381. 2005
  • P. Punitha and D. S. Guru, An invariant scheme for exact match retrieval of symbolic images: Triangular spatial relationship based approach. Pattern Recognition Letters, Vol. 26, No. 7, 2005, pp 893-907.
  • D. S. Guru and P. Punitha., An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. Journal of Pattern Recognition Letters. Vol. 25, No. 1, 2004, pp 73-86. 2003

Peer reviewed Conference Proceedings

  • Arindam Das, Sandipan Chowdhury, P. Punitha, Projection Profile Based Number Plate Localization and Recognition, Third International Conference on Computer Science and Information Technology (CoSIT-2016), AIRCC publishers. 2014
  • Vijeetkumar Benni, R. Dinesh, P. Punitha, Vasudeva Rao, Keyframe Extraction and Shot Boundary Detection using Eigen values. 4th International Conference on Signal, Image Processing and Applications (ICSIA 2014), Nottingham, UK, July 6-7, 2014.
  • Dhanya Bibin, Punitha P., Stained Blood Cell Detection and Clumped Cell Segmentation Useful for Malaria Parasite Diagnosis. Lecture Notes in Electrical Engineering, Volume 213 2013, ISBN: 978-81-322-1142-6 (Print) 978-81-322-1143-3 (Online), pp 195-207.
  • A. Goyal, P. Punitha, F. Hopfgartner, J, M, Jose, Spilt and merge based story boundary detection in news videos, 6-9th April, ECIR2009-Poster, Toulouse, France.
  • P. Punitha, Joemon Jose, Anuj Goyal, Topic Prerogative Feature Selection using Multiple Query Examples for Automatic Video Retrieval, 19-23 July, SIGIR 2009, Boston, Massachusetts, USA.

Books Authored

  • Lekha A and Punitha P, Fundamentals of Information Technology, Diploma in Information Technology, Karnataka State Open University, Information Technology Programmes, Manasagangothri, Mysore – 570006, May 2014.
  • Punitha P Swamy and Devanur S Guru, Multimedia Processing, Communication and Computing Applications (Editors), Springer Lecture Notes in Electrical Engineering, Volume 213 2013. ISBN: 978-81-322- 1142-6 (Print) 978-81-322-1143-3 (Online)
  • D. S. Guru and Punitha P., Analysis and Design of Algorithms, Course material for M.Sc.(IT) – 1st Semester, Kuvempu State Open University, Information Technology Programmes, 2005.

Patents awarded

  • Methods and systems for localizing aztec codes. US 9396422 B1
  • Methods and systems for reversible multi-layer data hiding, US 9800879
  • Suspect Malicious Activity on Rich Tract- SMART .
  • Methods and Systems for Auto Correction of defects in a scanned image. US 09998628 B1