arjun k pujari

Arun Kumar Pujari

Adviser & Professor Emeritus
arun.pujari@mahindrauniversity.edu.in

Prof. Pujari joined as Advisor & Professor Emeritus, Department of CSE, Mahindra University in November 2020. He was with University of Hyderabad since 1985. He received his PhD from IIT/Kanpur. He advised several PhD and Masters students for their dissertations.

He has served on advisory capacity in several decision-making committees of DST, UGC, AICTE, DOS etc. and he currently Chairman, Executive Committee, Conservation of Indian Heritage and Related Matters. DST; and member of the Programme Advisory & Monitoring Committee (PAMC) on the Technology Fusion and Application Research (TFAR) Programme of the DST, GoI. He is also participated in the Development of TechDome for Central Vista Project, chaired by Principal Scientific Adviser (PSA) to the Government of India. He is a member of core group for Republic Day Tableau by NM-ICPS. He has served as member of Governing Bodies of several Government Institutions and Corporates. He has served as Vice-Chancellor, Dean, HoD and other responsible posts at University of Hyderabad. He has 100+ publications and has supervised 20+ Doctoral students

Ph.D (IIT/Kanpur) 1980

M.Sc (Sambalpur University) 1974

1981-82

Lecturer, Govt. College, Angul, Odisha.

1982-83

Assistant Professor of Computer Science, Jawaharlal Nehru University, New Delhi.

1983-85

Chief Instructor, Automated Cartography Cell, R&D Directorate, Survey of India, Dehradun

1985- 1990

Reader (or, Associate Professor) of Computer Science, School of Mathematics and Computer/Information Sciences, University of Hyderabad,

1990- 2019

Professor of Computer Science, Department of Computer & Information Sciences, University of Hyderabad.

2007-2008

Professor (on leave from UoH), The LNM IIT, Jaipur

2008-2011

Vice Chancellor (on leave from UoH), Sambalpur University, Sambalpur, Orissa

2015-2020

Vice-Chancellor (on leave from UoH), Central University of Rajasthan, Rajasthan

International Visiting Assignments

(more than 3 months)

  • Institute of Industrial Sc, University of Tokyo, Tokyo;
  • International Institute of Software Tech, United Nations University, Macau;
  • University of Paris, Paris-Sud, France; Griffith University, Brisbane, Australia; and Memphis University, Memphis, USA

BOOKS

2015

Data Mining Techniques, Universities Press (1st ed. 2001) (2nd ed 2011) (3rd ed 2013) (4th ed 2015). More than 20000 copies sold. It was one of prescribed textbooks in many universities of south India, as a reference book in Indian Institute of Science, Bangalore, in IITs, NITs and RPI, Troy, USA, University of Buffalo, USA.

2002

Database Management Systems, Indian Society of Technical Education (2002), ISBN 9788188057016 Very popular among industry professionals. Satyam Computers Services Ltd used this as their training material every year.

Research Publications

Professor Pujari works primarily in AI, Data Mining, and Combinatorial Algorithms. Some of the highlights are the following

Shape from Silhouettes– During 80’s, the problem of recovery of 3D shape (and structure) from multiple images was one of primary areas of research in Computer Vision. He proposed a novel method of recovering shapes from silhouettes and provided a very efficient algorithm. One of the novelties was to have cameras with changing direction of views which was later identified as Active Vision. His work was one of first proposals in Active Vision. (published in CVGIP, PRL

Knowledge Compilation and Nonmonotonic Reasoning– He proposed a novel method of knowledge compilation by computing prime implicates of propositional logic (published in Journal of Automated Reasoning)

Temporal Constraint Satisfaction Problem– This is yet another area of his significant contribution. His proposal, INDU-Interval Duration Network, initiated many new research activities in TCSP. His proposal of PIDN was presented in IJCAI (Published mostly in AI Conferences, IJCAI, Australian AI, ICTAI, PRICAI etc.)

Virus and Intrusion Detection– His proposal of ML approach to virus detection and masquerade detections is one of the first work of use of text-mining for IDS and are well cited.

Energy Efficient Target Coverage Problem– He developed several theoretical results on this subject. The problem is still unsolved and hoping to address this problem sometime. (Published in ICDCN, IEEE Sensors)

Recommender System and Matrix Factorization– This is the most recent area of his activities. His group’s novel interpretation of Maximum Margin Matrix Factorization yielded several important results. The group demonstrated this in several areas such as in Recommender System, in Multi-label Classification and in Transfer Learning.

Others- In addition to these areas, he takes interest in Scientific approaches preservation of Miniature Painting, Cyber-Physical Systems and AI for literature.