|Academic Profile |
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Asst Prof Anupam Chattopadhyay
School of Computer Science and Engineering
College of Engineering
Phone: (+65)6790 6092
- Dr.-Ing. RWTH Aachen University 2008
- MSc. ALaRI, USI 2002
- BE Jadavpur University 2000
|Anupam Chattopadhyay received his B.E. degree from Jadavpur University, India in 2000. He received his MSc. from ALaRI, Switzerland and PhD from RWTH Aachen in 2002 and 2008 respectively. From 2008 to 2009, he worked as a Member of Consulting Staff in CoWare R&D, Noida, India. From 2010 to 2014, he led the MPSoC Architectures Research Group in RWTH Aachen, Germany as a Junior Professor. Since September, 2014, he is appointed as an assistant Professor in SCE, NTU. |
During his PhD, he worked on automatic RTL generation from the architecture description language LISA, which was commercialised later by a leading EDA vendor. He developed several high-level optimisations and verification flow for embedded processors. In his doctoral thesis, he proposed a language-based modelling, exploration and implementation framework for partially re-configurable processors. Together with his doctoral students, Anupam proposed domain-specific high-level synthesis for cryptography, high-level reliability estimation flows for embedded processors, generalisation of classic linear algebra kernels and a novel multi-layered coarse-grained reconfigurable architecture. In these areas, he published as a (co)-author over 100 conference/ journal papers, several book-chapters and a book. Anupam served in several TPCs of top conferences, regularly reviews journal/ conference articles and presented multiple invited seminars/tutorials in prestigious venues. He is a member of ACM and a senior member of IEEE.
Anupam received Borcher's plaque from RWTH Aachen, Germany for outstanding doctoral dissertation in 2008 and the nomination for best IP award in DATE 2016.
- Academic Research Fund Tier 1 (2015-)
- Academic Research Fund Tier 2 (2016-2019) [by Ministry of Education (MOE)]
- Defence Science Organisation National Laboratories (2017-) [by DSO National Laboratories]
- MOE Tertiary Education Research Fund (2017-) [by Ministry of Education (MOE)]
- NRF - Cyber Security (2017-) [by National Research Foundation (NRF)]
- NRF TUM CREATE (2016-) [by National Research Foundation (NRF)]
- NTU Internal Funding - Start Up Grant - School of Computer Engineering (2014-)
- Bio-inspired agile cyber-security assurance framework (BICSAF)
- Block chain-Enabled Smart Health Insurance Contract
- Chosen-prefix Colision Attack on SHA-1 with ASICS Cluster
- Cloud-enhanced Learning for Hardware-Oriented Labs in Computing
- Logic Synthesis Flow for Digital Design Technologies Beyond CMOS
- POSYN: Logic, Circuit and Architectural Synthesis for Post-CMOS Technologies; HAVIS: Development of customizable, accurate, efficient and scalable Hardware-Accelerated Virtual Screening Platform
- Productive Failure via Educational Games for Tertiary Education
- Sensing and Management for Agile Transportation (SMAT)
- Sparse-represented Non-volatile In-memory Accelerator for Big-Data Analytics
- Sub Project C
- Wonjoo Kim, Anupam Chattopadhyay, Anne Siemon, Eike Linn, Rainer Waser & Vikas Rana. (2016). Multistate Memristive Tantalum Oxide Devices for Ternary Arithmetic. Scientific Reports, .
- Anupam Chattopadhyay, Vikramkumar Pudi, Anubhab Baksi, Thambipillai Srikanthan. (2016). FPGA Based Cyber Security Protocol for Automated Traffic Monitoring Systems: Proposal and Implementation. Proceedings of 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2016).
- Mathias Soeken, Anupam Chattopadhyay. (2016). Unlocking Efficiency and Scalability of Reversible Logic Synthesis using Conventional Logic Synthesis. ACM/IEE DAC.
- Wei He, Jakub Breier, Shivam Bhasin, Anupam Chattopadhyay. (2016, May). Bypassing Parity Protected Cryptography using Laser Fault Injection in Cyber-Physical System. Paper presented at 2nd ACM Cyber-Physical System Security Workshop (CPSS@ASIACCS’16), Xi’An, China (2016).
- Zheng Wang, Georgios Karakonstantis, Anupam Chattopadhyay. (2016). A Low Overhead Error Confinement Method based on Application Statistical Characteristics. ACM/IEEE DATE.