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Indian Institute of Information Technology, Lucknow
भारतीय सूचना प्रौद्योगिकी संस्थान, लखनऊ
(An Institute of National Importance by the Act of Parliament)

Dr. Chandranath Adak

chandra@iiitl.ac.in
Lucknow, India

Dr. Chandranath Adak

Assistant Professor

Education

  • Ph.D. in Analytics, University of Technology Sydney, Australia.

Achievements & Honours

Grants:

  • Centre for AI and School of Software, FEIT, Publication Grant, University of Technology Sydney, Australia, 2019.
  • School of Software, FEIT, Higher level of Funding Support; and Centre for AI, Conference Travel Grant, University of Technology Sydney, Australia, 2018.
  • Vice-Chancellor’s Postgraduate Research Student Conference Fund, University of Technology Sydney, Australia, 2018.
  • IEEE CIS (Computational Intelligence Society) Graduate Student Research Grants, USA, 2017.
  • GGRS-IEIS (Griffith Graduate Research School and International Experience Incentive Scheme) Conference Travel Grants, Australia, 2017.
  • School of ICT (Information and Communication Technology), Griffith University, Conference Funding, Australia, 2017.
  • IIIS (Institute for Integrated and Intelligent Systems), Griffith University, Conference Travel Grant, Australia, 2016.
  • GCAP (Gold Coast Association of Postgraduates) Professional Development and Conference Funding, Australia, 2015.

 

Competitions:

  • 1st in the OCR task of “ICDAR 2019 Competition on Recognition of Early Indian Printed Documents – REID2019”, Australia, Sep. 2019.
  • 1st in the recognition task of “ICFHR-2018 competition on Thai Student Signature and Name Component Recognition and Verification – TSNCRV 2018”, USA, Aug. 2018.
  • 1st runner-up in “ICFHR 2018 Competition on Handwritten Document Image Binarization (H-DIBCO 2018)”, USA, Aug. 2018.
  • Entrepreneur’s Award and Best of Gold Coast Award, GovHack, Australia, Jul. 2016.
  • Top-10 finalist in “ISTAS (Invitational Symposium on Trusted Autonomous Systems) Student Poster Competition”, org. by Defence Science and Technology Group, Dept. of Defence, Australian Government, May 2016.
  • 1st in the recognition task of “ICB-2016 Sclera Segmentation and Recognition Benchmarking Competition: SSRBC-2016”, Sweden, Jun. 2016.

 

Scholarships:

  • HDR Post-Thesis Industry Scholarship, FEIT, University of Technology Sydney, Australia, 2019.
  • Kalam Doctoral Scholarship and International Research Scholarship (IRS), University of Technology Sydney, Australia, 2018.
  • International Postgraduate Research Scholarship (IPRS) and Postgraduate Research Scholarship (PRS), Griffith University, Australia, 2015-2018.
  • National Scholarship for qualifying in Graduate Aptitude Test in Engineering (GATE-2012 in CS), India, 2012-2014.
  • Two times National Merit Scholarship from MHRD (Ministry of Human Resource Development), India, based on Higher-Secondary level exam, 2008-2012, and Secondary level exam, 2006-2008.

Research Interests

  • Deep Learning
  • Data Analytics
  • Computer Vision
  • Computer Forensics & Biometrics
  • Medical Image Analysis

Research/Work Experience

  • Indian Institute of Information Technology Lucknow, India Assistant Professor (Sep. 2021 – Present)
  • Faculty of Engg. & IT, University of Technology Sydney, Australia Visiting Fellow (Jul. 2019 – Present)
  • Centre for Data Science, JIS Institute of Advanced Studies and Research, India ,Assistant Professor (Jul. 2019 – Aug. 2021) Head, Centre for Data Science (Nov. 2020 – Aug. 2021)
  • CIBCI Centre, University of Technology Sydney, Australia Researcher, Principal Investigator (Mar. 2019 – Jul.  2019)
  • AI Lab, DINFO, University of Florence, Italy Visiting Researcher (Jul. 2017 – Sep. 2017)
  • IIIS, School of ICT, Griffith University, Gold Coast, Australia Higher Degree Research Candidate (Apr. 2015 – Feb. 2018)
  • CVPR Unit, Indian Statistical Institute, Kolkata, India Visiting Scholar (Sep. 2015 – Feb. 2016) Research Project-linked Personnel (Jun. 2014 – Mar. 2015)

Publications (selected)

Journals:

  • Adak, B. B. Chaudhuri, C. T. Lin, M. Blumenstein, “Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis”, IEEE Trans. on Information Forensics and Security, vol. 15, pp. 3567-3579, 2020.
  • R. Chowdhury, S. Chattopadhyay, C. Adak, “CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering”, IEEE Trans. on Services Computing, DOI: 10.1109/TSC.2020.3041626, 2020.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “An Empirical Study on Writer Identification and Verification from Intra-variable Individual Handwriting”, IEEE Access, vol. 7, no. 1, pp. 24738-24758, 2019.
  • B. Chaudhuri*, C. Adak*, “An Approach for Detecting and Cleaning of Struck-out Handwritten Text”, Pattern Recognition, vol. 61, pp. 282-294, January 2017. *Joint first author.

Teaching Experience

  • At JIS Institute of Advanced Studies and Research, Kolkata, India

    • Pattern Recognition & Machine Learning (Odd 2019, Odd 2020)
    • Advanced Machine Learning (Even 2020, Even 2021)
    • Database Management System (Odd 2019, Odd 2020)
    • Database Design (Even 2020)
  • At School of Software, FEIT, University of Technology Sydney, Australia

    • Fundamentals of Software Development (#32555) (Autumn 2019)
    • Introduction to Data Analytics (#31250) (Autumn 2018)
    • Fundamentals of Data Analytics (#32130) (Autumn 2018)

Professional Memberships

  • Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, International Association of Engineers (IAENG)
  • Life Member, Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI)
  • Life Member, Cryptology Research Society of India (CRSI)

Book Chapters

  • Adak, B. B. Chaudhuri, M. Blumenstein, “A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis”, Book Chapter, Eds. M. Blom et al., Advances in Pattern Recognition and Artificial Intelligence, World Scientific, ISBN: 9789811239007, pp. 93-113, 2021.
  • Adak, D. Ghosh, R. R. Chowdhury, S. Chattopadhyay, “COVID-19-affected Medical Image Analysis using DenserNet”, Chapter 11, Eds. U. Kose et al., Data Science for COVID-19, Elsevier, ISBN: 9780128245361, pp. 213-230, 2021.

Conferences

  • Adak, B. B. Chaudhuri, C. T. Lin, M. Blumenstein, “Text-line-up: Don’t Worry about the Caret”, 16th Int. Conf. on Document Analysis and Recognition (ICDAR), LNCS vol. 12823, pp. 207–222, Lausanne, Switzerland, 5-10 Sep., 2021.
  • Adak, X. Tao, “BigyaPAn: Deep Analysis of Old Paper Advertisement”, 34th Int. Joint Conference on Neural Networks (IJCNN), pp. 1-7, China, 18-22 July, 2021.
  • Adak, B. B. Chaudhuri, C. T. Lin, M. Blumenstein, “Why Not? Tell us the Reason for Writer Dissimilarity”, 33rd Int. Joint Conference on Neural Networks (IJCNN), pp. 1-7, Glasgow, Scotland, UK, 19-24 July, 2020.
  • Adak, B. B. Chaudhuri, C. T. Lin, M. Blumenstein, “Detecting Named Entities in Unstructured Bengali Manuscript Images”, 15th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 196-201, Sydney, Australia, 20-25 Sep., 2019.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “A Study on Idiosyncratic Handwriting with Impact on Writer Identification”, 16th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 193-198, Niagara Falls, USA, 5-8 Aug., 2018.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Cognitive Analysis for Reading and Writing of Bengali Conjuncts”, 31st Int. Joint Conference on Neural Networks (IJCNN), pp. 1-7, Rio de Janeiro, Brazil, 8-13 July, 2018.
  • Adak, S. Marinai, B. B. Chaudhuri, M. Blumenstein, “Offline Bengali Writer Verification by PDF-CNN and Siamese Net”, 13th IAPR Int. Workshop on Document Analysis Systems (DAS), pp. 381-386, Vienna, Austria, 24-27 Apr., 2018.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Legibility and Aesthetic Analysis of Handwriting”, 14th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 175-182, Kyoto, Japan, 9-15 Nov., 2017.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Impact of Struck-out Text on Writer Identification”, 30th Int. Joint Conference on Neural Networks (IJCNN), pp. 1465-1471, Anchorage, Alaska, USA, 14-19 May, 2017.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Writer Identification by Training on One Script but Testing on Another”, 23rd Int. Conf. on Pattern Recognition (ICPR), pp. 1148-1153, Cancun, Mexico, 4-8 Dec., 2016.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Offline Cursive Bengali Word Recognition using CNNs with a Recurrent Model”, 15th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 429-434, Shenzhen, China, 23-26 Oct., 2016.
  • Adak, B. B. Chaudhuri, M. Blumenstein, “Named Entity Recognition from Unstructured Handwritten Document Images”, 12th IAPR Int. Workshop on Document Analysis Systems (DAS), pp. 375-380, Santorini, Greece, 11-14 Apr., 2016.
  • Adak, P. Maitra, B. B. Chaudhuri, M. Blumenstein, “Binarization of Old Halftone Text Documents”, IEEE TENCON, IEEE Conf. # 35439, pp. 1-5, Macau, China, 1-4 Nov., 2015.
  • Adak, B. B. Chaudhuri, “Writer Identification from Offline Isolated Bangla Characters and Numerals”, 13th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 486-490, Nancy, France, 23-26 Aug., 2015.
  • Adak, B. B. Chaudhuri, “An Approach of Strike-through Text Identification from Handwritten Documents”, 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 643-648, Crete Island, Greece, 1-4 Sep., 2014.
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Contact

Room-212, Department of Computer Science,
Indian Institute of Information Technology, Lucknow,
CG City, Uttar Pradesh-226002, India.
E-mail: chandra@iiitl.ac.in

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