|Academic Profile |
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Asst Prof Arindam Basu
School of Electrical & Electronic Engineering
College of Engineering
Phone: (+65)6790 4439
- PhD Georgia Institute of Technology 2010
- MSc (Maths) Georgia Institute of Technology 2009
- MTech (Auto & Comp Vision) Indian Institute of Tech, Kharagpur 2005
- BTech (Elec & Elect Comm Eng) (Hons) Indian Institute of Techn, Kharagpur 2005
|Arindam Basu received the B.Tech and M.Tech degrees in Electronics and Electrical Communication Engineering from the Indian Institute of Technology,
Kharagpur in 2005, the M.S. degree in Mathematics and PhD. degree in Electrical Engineering from the Georgia Institute of Technology, Atlanta in 2009 and 2010 respectively. Dr. Basu received the Prime Minister of India Gold Medal in 2005 from I.I.T Kharagpur (awarded to the top student). In the summer of 2008, he worked at Texas Instruments, Dallas and developed automatic tuning strategies for LNAs designed in 45nm and 65nm. He joined Nanyang Technological University as an Assistant professor in June 2010.
Dr. Basu received the best student paper award at Ultrasonics symposium, 2006, best live demonstration at ISCAS 2010 and a finalist position in the best student paper contest at ISCAS 2008. His research interests include bio-inspired neuromorphic circuits, non-linear dynamics in neural systems, low power analog IC design and programmable circuits and devices.
|Low-power Reconfigurable Mixed-signal design, Neural recording systems, Computational neuroscience, Nonlinear dynamics, Smart sensors for hearing-aids/ultrasound etc, Neuromorphic VLSI|
- Academic Research Fund Tier 1 (2011-2014) [by Nanyang Technological University]
- Academic Research Fund Tier 1 (2013-2016) [by Nanyang Technological University]
- Academic Research Fund Tier 2 (2013-2016) [by Ministry of Education (MOE)]
- Academic Research Fund Tier 2 (2014-2017) [by Ministry of Education (MOE)]
- A Floating-gate Based Sub-threshold, Low-power, Reconfigurable Neural Processor with Applications to Visual Attention, Recognition and Tracking
- Epileptic Seizures as Emerging Patterns in Complex Dynamical Networks
- Integrated Microsystem with Energy Scavenging, Sensor and Radio Integration using TSV Technology
- Neuro-inspired Reconfigurable Processor: Circuits with `Emergent' Structure
- Ultra Low Power Neuromorphic Computing with Spin-devices
- S. Hussain, A. Basu, M. Wang and T. Hamilton. (2014). Delay Learning Architectures for Memory and Classification. Neurocomputing, .
- Chen Yi, A. Basu, M. Je, L. Liu, X. Zou, R. Ramamurthy and G. Dawe. (2014). A Signal Folding and Reconstruction Scheme for Neural Recording System. IEEE Transactions on biomedical circuits and systems, .
- S. Roy, P. P. San and A. Basu. (2014). Hardware-Friendly Morphological Learning for Spiking-Neuron with Dendritic Nonlinearity. IEEE Transactions on Neural Networks, .
- S. Roy, A. Banerjee and A. Basu. (2014). Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations. IEEE Transactions on biomedical circuits and systems, 8(5), 681-695.
- S. Ramakrishnan, A. Basu, L. K. Chiu, J. Hasler, D. Anderson and S. Brink. (2014). Speech Processing on a Reconfigurable Analog Platform. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(2), 430-433.