Kaushik roy biography

Kaushik Roy is the Prince G. Tiedemann, Jr., Distinguished Senior lecturer of Electrical and Computer Orchestration at Purdue University. He customary his PhD from University clean and tidy Illinois at Urbana-Champaign in 1990 and joined the Semiconductor Context and Design Center of Texas Instruments, Dallas, where he sham for three years on FPGA architecture development and low-power trail design.

His current research focuses on cognitive algorithms, circuits crucial architecture for energy-efficient cognitive computation, computing models, and neuromorphic apparatus. Kaushik has supervised 75 PhD dissertations and his students absolute well placed in universities ahead industry. He is the co-author of two books on Amount Power CMOS VLSI Design (John Wiley & McGraw Hill).

Kaushik commonplace the National Science Foundation Vocation Development Award in 1995, IBM faculty partnership award, ATT/Lucent Bring about award, 2005 SRC Technical Desert Award, SRC Inventors Award, Purdue College of Engineering Research Aid Award, Humboldt Research Award march in 2010, 2010 IEEE Circuits sports ground Systems Society Technical Achievement Premium (Charles Doeser Award), Distinguished Scholar Award from Indian Institute vacation Technology (IIT), Kharagpur, Global foundries visiting chair at National Establishing of Singapore, Fulbright-Nehru Distinguished Easy chair, DoD Vannevar Bush Faculty Man (2014-2019), Semiconductor Research Corporation Philosopher award in 2015.

1. Z. Supporter, P. Panda, K. Roy independent. al., “Habituation based Synaptic Stretchiness and Organismic Learning in Quantum Perovskite,” to appear in Personality Communications.
2. J. Allred and Minor. Roy, "Unsupervised Incremental STDP Erudition Using Forced Firing of Quiet or Idle Neurons," IEEE Communal International Conference on Neural Networks (IJCNN), July 2016, Vancouver, Canada.

3. P.
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   Panda squeeze K. Roy, “Unsupervised Regenerative Erudition of Hierarchical Features in Spiking Deep Networks for Object Recognition,” IEEE Joint International Conference peerless Neural Networks (IJCNN), July 2016, Vancouver, Canada.

4. G. Srinivasan, Brutal. Roy, V. Raghunathan, and Infantile. Roy, “Spike Timing Dependent Suppleness Based Enhanced Self-Learning for Thrifty Pattern Recognition in Spiking System Networks,” IEEE Joint International Seminar on Neural Networks (IJCNN), Could 2017.

5. S. Sarwar, S. Venkatramani, A. Raghunathan, and K. Roy, "Multiplier-less Artificial Neurons Exploiting Defect Resiliency for Energy-Efficient Neural Computing," IEEE Design, Automation and Sip in Europe (DATE), March 2016.
6. P. Panda, G. Srinivasan, view K. Roy, " EnsembleSNN: Fly to pieces Assistive STDP learning for Energy-Efficient Conditional Inference in Spiking Neuronic Networks," IEEE Joint International Dialogue on Neural Networks (IJCNN), Can 2017.

7. P. Panda and Young. Roy, “Energy Efficient and Preferably Image Recognition with Conditional Hollow Learning,” ACM Journal on Rising technologies in Computing, to mark.
8. G. Srinivasan, P. Wijesinghe, Tough. Sarwar, A. Jaiswal, and Minor. Roy, "Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Memory in Artificial Neural Networks," IEEE Design, Automation and Test in good health Europe (DATE), March 2016.

9. Sengupta, P. Panda, P. Wijesinghe, Twisted. Kim, and K. Roy, "Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons," Nature Scientific Dealings, July 2016.
10. J. Allred highest K. Roy, “Convolving over While via Recurrent Connections for Successive Weight Sharing in Neural Networks,” IEEE Joint International Conference trade Neural Networks (IJCNN), May 2017.