VIDYASAGAR UNIVERSITY
Faculty Information System
Self Declared Document


Name Mr. Utpal Nandi
Designation Assistant Professor
Department Name COMPUTER SCIENCE
Office Phone No 03222-276554 Extn. 472
Email ID utpalnandi@mail.vidyasagar.ac.in
Fax -
Mobile No 9932941526
Personal Website
Address Department of Computer Science, Vidyasagar University, PIN 721102
Educational Qualification
Degree NameInstituteYear of passing/awarded
M.TechUniversity of Kalyani2009
M.ScVidyasagar University2006
B.ScPanskura Banamali College2004


Career Profile / Teaching Experience
Assistant Professor,Department of Computer Science, Vidyasagar University since 23.12.2014
Assistant Professor,Department of Computer Science,Bangabasi College from 10.04.2014 to 22.12.2014
Assistant Professor,Department of Computer Science,Academy of Technology from 11.01.2012 to 05.04.2014
Assistant Professor,Department of Computer Science, Bankura Unnayani Institute of Engineering from 02.02.2009 to 10.01.2012.

Specialization/Research Area
Field of SpecializationResearch Area/ Areas of Interest
Data and Image Compression Techniques

Course/ Subject Taught
8085 Microprocesor
Advanced Operating System
C programming language
Advanced Computer Architecture

Conference/ Symposium /Journal Paper / Books Published
International Publication
TitlePublished inYearPublished by
Fractal Image Compression with Adaptive Quadtree Partitioning and Lossless Encoding on the Parameters of Affine Transformations2nd international conference on Information System Design and Intelligent Applications 2015 (INDIA 2015), Volume 340, pp 73-83, 21 Jan 20152015Springer
Comparative study and analysis of Windowed Huffman Coding with limited distinct symbols and its variantsInternational Journal of Engineering Technology and Computer Research (IJETCR), Volume 3; Issue 2; May-June-2015; Page No. 121-1282015Innovative Research Center
Fractal Image Compression with Quadtree Partitioning and a new Fast Classification Strategyin 3rd International Conference on Computer, Communication, Control and Information Technology (C3IT-2015), 7-8 Feb. 2015, pp. 1 – 4, Hooghly2015IEEE
Fractal Image Compression Using Hierarchical Classification Of Sub-Images10th International Conference on Computer Vision Theory and Applications (VISAPP 2015, pp. 46-53, 2015, Berlin, Germany2015SCITEPRESS Digital Library
Achieving the Capability of a Dictionary Based Data Compression Technique OLZW and its VariantsInternational Journal of Electronics Communication and Computer Engineering, Volume 5, Issue 4, august 2014, pp.921-9262014Timeline Publication Pvt. Ltd
Fractal Image Compression By Using Loss- Less Encoding On The Parameters Of Affine TransformsFirst International conference on Automation, control, Energy and Systems (ACES-14), Hooghly, West Bengal, INDIA, Feb-2014, pp. 1-62014IEEE
Fractal Image Compression using Fast Context Independent HV partitioning Scheme and MRBH, MRBHM codingFirst International conference on Automation, control, Energy and Systems (ACES-14), HOOGHLY, WEST BENGAL, INDIA. Feb-2014, pp. 1-52014IEEE
Windowed Huffman coding with limited distinct symbols by least recently used symbol removable3rd International conference on Front. of Intelligent Computing ( FICTA-2014), pp. 489-4942014Springer
Fractal Image Compression with Adaptive Quadtree Partitioning SchemeInternational Conference on Signal, Image Processing and Pattern Recognition (SIPP-2013), Bangalore, India, February 18-20, pp.289-2962013AIRCC
Modified Compression Techniques Based On Optimality Of LZW Code (MOLZW)1st International Conference on Computational Intelligence: Modelling, Techniques and Applications (CIMTA- 2013). Kalyani, INDIA, pp. 949-956.2013Elsevier
Efficiency And Capability Of Fractal Image Compression With Adaptive Quardtree PartitioningInternational Journal Multimedia And Application (IJMA), Vol.5, No.4, August 2013, pp. 53-662013AIRCC
Windowed Huffman coding with limited distinct symbol2nd International Conference on Computer, Communication, Control and Information Technology(C3IT), Hooghly, West Bengal, India, February, 2012, vol.4, pp. 589-5942012Elsevier
Adaptive Region Based Huffman Compression Technique with selective code interchangingThe Second International Workshop on Peer-to-Peer Networks and Trust Management (P2PTM-2012) Chennai, India, July, 2012, vol. 176, pp. 739-7482012Springer
A Compression Technique Based on Optimality of LZW code(OLZW)The Third IEEE International Conference on Computer & Communication Technology (ICCCT-2012) Allahabad, India , Nov, 2012, pp. 166-1702012IEEE
Fractal Image Compression using Fast Context Independent HV partitioning Scheme3rd IEEE International Symposium on Electronic System Design (ISED-2012), dec 19-21, Kolkata, India, pp. 306-3082012IEEE
Comparative Study And Analysis of Adaptive Region Based Huffman Compression TechniquesInternational Journal of Information Technology Convergence and Services (IJITCS), Vol.2, No.4, August 2012, pp. 17-242012AIRCC
Region Based Huffman Compression with region wise multiple interchanging of codesAdvancement Of Modelling & Simulation Techniques In Enterprises(AMSE), France, Vol.17, No.2, July 2012, pp. 44-58.2012Springer Verlog
Region based Huffman (RBH) Compression Technique with Code InterchangeMalayasian Journal of Computer Science(MJCS), Malayasia, Vol. 23, No. 2, September 2010, pp. 111-1202010Springer Verlog


National Publication
TitlePublished inYearPublished by
Size Adaptive Region based Huffman CompressionUGC Sponsored National Symposium on Emerging Trends in Computer Science(ETCS),pp.12-14. Barrackpore, India2012Barrackpore Rastraguru Surendranath College


Other Publication


Books Published

Invited Lectures 
TitleOrganized byVenueYear
A Study on Fractal Image Compression TechniqueHijli CollegeHijli , Paschim medinipur, West Bengal2015

Awards
Award NameAwarded ByYear
First in M.Tech (Gold medalist)University of Kalyani2010
GATE ScholarshipMHRD, Govt. Of India2007
Second in M.Sc. (Silver medalist)Vidyasagar University2007

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