DS

DR. GOUTAM SARKER, Ph.D. (Machine Learning)

National Institute of Technology Durgapur, Jadavpur University Faculty of Engineering and Technology

ORCID iD 0000-0002-9510-6777
Follow

About

Dr. Goutam Sarker is an Eminent Retired Associate Professor and Former Head in Computer Science and Engineering Department, NIT Durgapur, INDIA. He received his B.E. (Electronics, 1982), M.E.(Electronics with Computer Sc. & Engineering Specialization, 1986) and Ph.D. (Machine Learning, 1994) from Jadavpur University (JU) as a Full Time Research Scholar, with a Senior Research Fellowship.

He had research experience as Senior Research Engineer in Projects of CSE Dept, of JU. He has 30 (thirty) years POST Ph.D. teaching experience as a faculty member in various Computer Engineering Subjects especially Artificial Intelligence and Machine Learning. He has guided and produced 2 Ph.D. at NIT Durgapur, INDIA. He has 120+ International Journal and Conference publications including IEEE and SCOPUS indexed ones. He has authored two books in the Area of Artificial Intelligence and Machine Learning entitled (1) "A Treatise on Artificial Intelligence" (2) "Fundamentals of Data Mining - A Comprehensive and Exhaustive Treatise" with copyright and ISBN from Govt. of India. Presently he is authoring a book entitled "An Introduction to Pattern Classification and Recognition" He has authored 10 (ten) Book Chapters. He received merit certificate award and best paper award for his International Journal and Conference papers.

ORCID: https:/orcid.org/0000-0002-9510-6777
Scopus id: 6603684030

He has examined 6+ PhD Thesis of external engineering institutes including IIT. He reviewed numerous International Journal and Conference Research Papers.

He has three published patents in the broad area of Artificial Intelligence and Machine Learning.

Dr. Sarker is a Life Fellow of Institution of Engineers (2008), a Life Fellow of Institution of Electronics and Telecommunication Engineers (2008), a Chartered Engineer, a Life Member of Computer Society of India and a Senior Member of IEEE(USA) (2009).

Dr. Sarker is continuing his work in the broad area of Artificial Intelligence and Machine Learning . His specific work is on Machine Learning, Machine Translation, Speech to Text (STT), Pattern Recognition and Computer Vision, Data Mining, Biometric based Person Authentication, Convolution Neural Networks and Deep Learning . He is also parallely working in the area of Astronomy, Astrophysics and Space Science, especially in the domain of Stationary and Rotating, Charged and Uncharged Black Holes - and has published 3 (three) International Journal Research Papers and 1 (one) International Conference Paper on Astronomy and Black Hole

_______________________________________________________________________________________

"Equations are more important to me, because politics is for the present, but an equation is something for eternity" _ Albert Einstein
_______________________________________________________________________________________

Employment

  • National Institute of Technology Durgapur Retired Associate Professor (Present position)
    1998 - 2025

Education

  • Jadavpur University Faculty of Engineering and Technology Ph.D.(Engineering)
    1990 - 1994
  • Jadavpur University Faculty of Engineering and Technology M.E.Tel.E.
    1984 - 1986
  • Jadavpur University Faculty of Engineering and Technology B.E.Tel.E.
    1977 - 1986

Projects & Funding

Projects & funding information is unavailable.

Publications (102)

  • 20 K. Roy, Sarker G. (2013),A Location Invariant Face Identification and Localization with Modified RBF Network , International Conference on Computer and Systems ICCS-2013, 21-22 September, 2013, pp – 23-28, Bardhaman.
    +Save
  • 22 Sarker, G., Sharma, S. (2014),A Heuristic Based RBFN for Location and Rotation Invariant Clear and Occluded Face Identification ,International Conference on Advances in Computer Engineering and Applications, ICACEA – 2014, with IJCA), pp – 30-36.
    +Save
  • 32 Kundu, S., Sarker, G.(2015), A Programming Based Boosting in Super Classifier for Fingerprint Recognition - - - International conference ICCI – 2015, held at BIT Mesra, Ranchi, Dec. 10-11, 2015, © Springer Science + Business Media Singapore, Advances…
    +Save
  • A Modified SOM Based RBFN for Rotation Invariant Clear and Occluded Fingerprint Recognition‛ -Advances in Intelligent Systems and Computing 343 (Springer), December 2014, pp 11-18.
    +Save
  • A New Learning-Based Boosting in Multiple Classifiers for Color Facial Expression Identification. Advances in Computational Intelligence Advances in Intelligent Systems and Computing, 2017, vol 509 pp 267-277, Springer, Singapore
    +Save
  • A New Method of Galaxy Classification Using Optimal Convolution Neural Network - International Symposium on Artificial Intelligence (ISAI-2022) Feb. 2022.
    +Save
  • A Person Identification System with Biometrics using Modified RBFN based Multiple Classifiers‛ - Advances in Intelligent Systems and Computing 458 (Springer), February 2016, pp 415-424.
    +Save
  • A Programming Based Boosting in Super-classifier for Fingerprint Recognition‛ - Advances in Intelligent Systems and Computing 509 (Springer), December 2015, pp 319-329.
    +Save
  • A Super Classifier with Programming Based Boosting using Biometrics for Person Authentication‛. - Advances in Intelligent Systems and Computing 509 (Springer), December 2015, pp 331-341.
    +Save
  • An Efficient Multiple Classifier Based on Fast RBFN for Biometric Identification‛ - Smart Innovation, Systems and Technologies 27 Volume – 1 (Springer), June 2014, pp. 473-482.
    +Save