Dr. Pavan Kumar Perepu,
Assistant Professor,
Department of Computer Science and Engineering,
IIITDM Kurnool.
Education Qualifications:
·
Ph.D.
(Computer Science) from University of Hyderabad.
·
M.Tech (Computer
Science) from University of Hyderabad.
·
B.Tech (Computer
Science and Engineering) from JNTU, Hyderabad
Research Areas:
· Pattern Recognition, Image Processing, Machine Learning, Artificial Intelligence, Information Retrieval, Parallel Algorithms.
Professional /
Teaching Experience:
·
Assistant
Professor in CSE Department, Mahindra University, Hyderabad (January – June 2021).
·
Guest
Faculty in CSE Department, IIT Jammu (August – December 2020).
·
Assistant
Professor in CSE Department, IIITDM Kurnool (June – December 2018).
·
Instructor
(Engineering) in BS (Research) Program, IISc Bangalore (May – December 2017).
· Research Fellow in School of Computer and Information Sciences, University of Hyderabad (November 2007 – December 2010).
Research
Publications:
Journals:
1.
Pavan
Kumar Perepu: OpenMP implementation of parallel longest common subsequence
algorithm for mathematical expression retrieval. Parallel Processing Letters, World Scientific, Volume 31, Issue 2, June 2021, Pages: 2150007:1 - 2150007:18.
2.
Pavan
Kumar Perepu: Deep learning for detection of text polarity in natural scene images. Neurocomputing, Elsevier, Volume 431, March 2021, Pages: 1 - 6.
3.
P. Pavan Kumar,
Arun Agarwal and Chakravathy Bhagvati: Isolated Structural Error
Analysis of Printed
Mathematical Expressions. Pattern Analysis and Applications, Springer, Volume 21, Issue 4, November 2018, Pages:
1097 - 1107.
4.
P. Pavan
Kumar, Arun Agarwal and Chakravarthy Bhagvati: A string matching based
algorithm for performance evaluation of mathematical expression recognition.
Sadhana – Academy Proceedings in Engineering Science, Springer,Volume 39, Issue 1, February 2014, Pages: 63 - 79.
5.
P. Pavan
Kumar, Atul Negi, B. L. Deekshatulu, Chakravarthy Bhagvati and Arun Agarwal: A
Novel Stroke Width Based
Binarization Method to Handle Closely Spaced Thick Characters, International
Journal of Computer Applications, Volume 1,
Number23, Article 7, 2010, pages:
540 - 547.
Conference
Proceedings:
1.
P. Pavan Kumar,
Arun Agarwal and Chakravarthy Bhagvati: A knowledge-based design for
structural analysis of printed mathematical expressions. In: MIWAI 2014,LNCS/LNAI, Springer, Volume 8875, Pages: 112 - 123, 2014.
2.
P. Pavan
Kumar, Chakravarthy Bhagvati, Arun Agarwal: On performance analysis of End-to-
End OCR systems of Indic scripts, Workshop on
Document Analysis and Recognition, ACM DAR 2012, IIT Bombay, December 2012, Pages: 132 - 138.
3.
P. Pavan
Kumar, Arun Agarwal, and Chakravarthy Bhagvati. A structure based approach for
mathematical expression retrieval. In Multi-disciplinary Trends inArtificial
Intelligence, MIWAI 2012, volume 7694
of LNCS/LNAI, Springer Berlin/Heidelberg, 2012, Pages: 23 - 34.
4.
P. Pavan Kumar,
Chakravarthy Bhagvati, Atul Negi, Arun Agarwal, B. L. Deekshatulu: Towards Improving
the Accuracy of Telugu OCR Systems,
IEEE International Conference on Document Analysis and Recognition, IEEE ICDAR 2011, Pages: 910 - 914.
5. P. Pavan Kumar, Arun Agarwal, and Chakravarthy Bhagvati. A rule-based approach to form mathematical symbols in printed mathematical expressions. In Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2011, volume 7080 of LNCS/LNAI,Springer Berlin / Heidelberg, 2011, Pages: 181 - 192.
Accolades:
·
Achieved First Class with
Distinction in SSC, Intermediate, B.Tech and M.Tech.
·
Achieved 97.60 percentile in GATE-2003
(CS).
Contact: pavan (at) iiitk (dot) ac (dot) in