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Pratima Chatterjee

About


Designation: Research Scholar
Degree: Ph. D.
Fellowship: Visvesvaraya Senior Research Fellow
Enrollment No.: 162015AE3, Date: 13 Jul 2015
Registration No.: PhD/R/2016/0134, Date: 05 Oct 2016Supervisor: Prasun Ghosal

Academic Qualification

  1. B.Tech. in Computer Science and Engineering from West Bengal University of Technology, 2011
  2. M.Tech. in Information Technology from Indian Institute of Engineering Science and Technology, Shibpur, 2015

Research Area


Topic: Modeling and Verification of a Ribosomal Computing System

Publications


Book Chapter

• Ghosal, P.; Sarkar, M.; Chatterjee, P., “A New Paradigm towards Performance Centric Computation beyond CMOS: DNA Computing”, in Nano-CMOS and Post-CMOS Electronics: Vol 2. Circuits and Design, Edited by S. P. Mohanty and A. Srivastava, The Institute of Engineering and Technology (IET), 2015, ISBN: 978-1-84919-999-5.

Journals

• Chatterjee, P.; Ghosal, P. (2018). “Computing in ribosome: Logic gates implementation using mRNA-ribosome system”, CSI Transactions on ICT, 6(1), 39-50. • Chatterjee, P.; Ghosal, P., “Development of a general framework for ribosomal computing”, Unconventional Computing, Old City Publication, [Under Review].

• Chatterjee, P.; Ghosal, P., “Modeling and evaluation of Computing using Ribosomes: A hybrid approach towards next-generation alternatives”, SN Computer Science, Springer, [Under Review]. • Chatterjee, P.; Ghosal, P., “Computer-Based Simulation Model of Ribosomal Computing”, Journal of Circuit System and Computer, World Scientific, [Under Review].

• Chatterjee, P.; Ghosal, P., “Realization of Arithmetic Operations using A Combined Computational Unit in Ribosomal Computing”, IEI B, Springer, [Under Review].

• Chatterjee, P.; Ghosal, P., “A Modern Computational Method for Detecting Mutation using Computational tools”, BioSystems, Elsevier, [Under Review]

Conference Proceedings

• Chatterjee, P.; Sarkar, M.; Ghosal, P., “Computing in Ribosomes: Performing Boolean Logic Using mRNA-Ribosome System,” 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pittsburgh, PA, 2016, pp. 260-265. doi: 10.1109/ISVLSI.2016.128. 111.8.

• Chatterjee, P.; Sarkar, M.; Ghosal, P., “Computing in Ribosomes: Implementing Sequential Circuits using mRNA-Ribosome System,” IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), 2016, pp. 230-235.

• Chatterjee, P.; Ghosal, P. (2017, December). “Realizing All Logic Operations Using mRNA-Ribosome System as a Post Si Alternative”. In 2017 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS) (pp. 40-45). IEEE.

• Chatterjee, P.; Ghosal, P., “Power Analysis of an mRNA-Ribosome System,” In Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures (NANO ARCH), 2018, pp. 141-146.

• Chatterjee, P.; Ghosal, P.,” Introducing Parallelism in Ribosomal Computing: A Feasibility Study and Analysis.” In Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication, pp. 1-5. 2021.