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Faculty Profile

Ashis Kumer Biswas

আশিস কুমার বিশ্বাস


Office Location:

Research Interests: Machine Learning, Data Mining, Bioinformatics

Current pursuing PhD at University of Texas at Arlington, USA


Jan 2010 - Present

Apr 2009 - Jan 2010

Feb 2008 - Dec 2008

Journal (6)

  1. Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, Chris HQ Ding, Baoju Zhang, Xiaoyong Wu, Jean X Gao: Inferring disease associations of the long non-coding rnas through non-negative matrix factorization. Network Modeling Analysis in Health Informatics and Bioinformatics. 4(1): 1–17 (2015)
  2. Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X Gao: Coding and noncoding transcript discriminator—an excursion through hypothesis learning and ensemble learning approaches. Journal of bioinformatics and computational biology. 11(5): (2013)
  3. Ashis Kumer Biswas, Lafifa Jamal, MA Mottalib, Hafiz Md Hasan Babu: Design of a reversible parallel loading shift register. Dhaka Univ. J. Eng & Tech. 1(2): 1–5 (2011)
  4. Ashis Kumer Biswas, Nasimul Noman, Abdur R Sikder: Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC bioinformatics. 11(1): 273 (2010)
  5. Ashis Kumer Biswas, Md Mahmudul Hasan, Ahsan Raja Chowdhury, Hafiz Md Hasan Babu,: Efficient approaches for designing reversible binary coded decimal adders. Microelectronics journal. 39(12): 693–1703 (2008)
  6. Shah Mostafa Khaled, Rezaul Karim, Ashis Kumer Biswas, R.H. Rahman, Nusrat Nowsheen, Mohammad Abdul Qayum: Optimization of reliability in a real time security system controlled by embedded internet technology. Asian Journal of Information Technology. 6(10): 1050–1056 (2007)

Conference (2)

  1. Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X Gao: A multi-label classification framework to predict disease associations of long non-coding rnas (lncrnas). Third International Conference on Communications, Signal Processing, and Systems. 821–830 (2015)
  2. Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X Gao: An information integration approach for classifying coding and non-coding genomic data. the Second International Conference on Communications, Signal Processing. 1085–1093 (2014)