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

Dr. Chandranath Adak

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: [email protected]

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