Chandranath Adak is currently a Ph.D. student in School of ICT, Griffith University, under the supervision of Prof. Michael Blumenstein (principal) and Prof. Bidyut B. Chaudhuri (external). Prior to joining Griffith, he worked as a research project linked personnel in CVPR Unit, Indian Statistical Institute, Kolkata, under the guidance of Prof. Bidyut B. Chaudhuri. Before that, he completed his M.Tech. (2014) and B.Tech. (2012) from Universty of Kalyani, India and West Bengal University of Technology, India, respectively -- both in Computer Science and Engineering.

    His areas of interest are Image Processing, Pattern Recognition, Document Image Analysis, Data Mining, Natural Language Processing, Soft Computing and Artificial Intelligence related subjects.

5. B. 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.

4. C. Adak, B. B. Chaudhuri, M. Blumenstein, “Impact of Struck-out Text on Writer Identification”, 30th Int. Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, USA, 14-19 May, 2017.

3. C. Adak, B. B. Chaudhuri, M. Blumenstein, “Writer Identification by Training on One Script but Testing on Another”, 23rd Int. Conference on Pattern Recognition (ICPR), pp. 1148-1153, Cancun, Mexico, 4-8 Dec., 2016.

2. C. 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.

1. C. Adak, B. B. Chaudhuri, M. Blumenstein, “Named Entity Recognition from Unstructured Handwritten Document Images”, 12th Int. Workshop on Document Analysis Systems (DAS), pp. 375-380, Santorini, Greece, 11-14 Apr., 2016.