I am a PhD student working with John Fisher in the Sensing, Learning, and Inference (SLI) lab at CSAIL. I completed my MASc degree at the University of Toronto under the supervision of Prof. Glenn Gulak specializing in Wireless Communications in 2011. I received my BASc degree with honors in Engineering Science at the University of Toronto under the suprevision of Prof. Roman Genov specializing in Biomedical Signal Processing in 2009.

I interned as a Data Scientist at Microsoft, Rue Guilt Groupe and Shopify. In the past, I was also at Qualcomm and Max Linear as a systems research intern and a digital baseband designer.

[HomePage] [GoogleScholar] [GitHub] [Blog] [Twitter] [LinkedIn] [StackOverflow] [MatlabCentral]

Research Interests

  • Bayesian Inference, Machine Learning, Algorithms
  • Optimization, Inverse Problems, Information Theory
  • Applications in Computer Vision and Natural Language Processing

Selected Publications


[J3] V. Smolyakov, J. Straub, S. Zheng, and J. W. Fisher III, "Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm" [arXiv]

[J2] V. Smolyakov, P. G. Gulak, T. Gallagher, C. Ling, "A Fault-Tolerant Embedded-Memory Strategy for Baseband Signal Processing Systems", IEEE Transactions on Very Large Scale Integration Systems (TVLSI) .[PDF]

[J1] K. Abdelhalim, V. Smolyakov, R. Genov, "Phase-Synchronization Early Epileptic Seizure Detector VLSI Architecture", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) [PDF]

Selected Conference Papers

[C5] V. Smolyakov, "Information Planning for Text Data" [arXiv]

[C4] V. Smolyakov, Q. Liu, J. W. Fisher III, "Adaptive Scan Gibbs Sampler for Large Scale Inference Problems" [arXiv]

[C3] K. Abdelhalim, V. Smolyakov, R. Genov, "A Phase Synchronization and Magnitude Processor VLSI Architecture for Adaptive Neural Stimulation", IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 5-8, Nov. 2010. [best student paper award] [PDF]

[C2] D. Patel, V. Smolyakov, M. Shabany, and P. G. Gulak, "VLSI Implementation of a WiMAX/LTE Compliant Low-Complexity High-Throughput Soft-Output K-Best MIMO Detector", IEEE International Symposium on Circuits and Systems (ISCAS), pp. 593-596, May 2010. [PDF]

[C1] Z. Zhao, V. Smolyakov, and A. Prodic, "Continuous-Time Digital Signal Processing Based Controller for High-Frequency DC-DC Converters", IEEE Applied Power Electronics Conference (APEC), pp. 882-886, Feb. 2007. [PDF]


[T2] V. Smolyakov, "A Fault-Tolerant Strategy for Embedded-Memory SoC OFDM Receivers", MASc Thesis, University of Toronto, pp. 1-106, Sep 2011. [PDF]

[T1] V. Smolyakov, "A Study of Seizure Prediction Based on EEG Phase Synchronization", BASc Thesis, University of Toronto, pp. 1-72, Apr 2009. [PDF]

Selected Courses


6.438 Algorithms for Inference Prof. Tommi Jaakkola
6.437 Inference and Information Prof. Polina Golland and Greg Wornell
6.255 Optimization Methods Prof. Pablo Parrilo
6.854 Advanced Algorithms Prof. David Karger
6.431 Probabilistic Systems Analysis Prof. Guy Bresler
6.869 Advances in Computer Vision Prof. Antonio Torralba and Bill Freeman
6.864 Advanced Natural Language Processing Prof. Regina Barzilay
6.262 Discrete Stochastic Processes Prof. Lizhong Zheng
6.867 Computational Biology Prof. David Gifford
6.450 Digital Communications Prof. Muriel Medard
15.450 Analytics of Finance Prof. Hui Chen
15.401 Introduction to Finance Prof. Haoxiang Zhu


ECE417 Digital Communications Prof. Frank Kschischang
ECE1520 Data Communications Prof. Ravi Adve
ECE431 Digital Signal Processing Prof. Bruce Francis



  • 6.UAR Undergrad Research (2018)
  • 6.036 Machine Learning (S2014)
  • 6.003 Signals and Systems (F2013)
  • 6.01 Introduction to EECS (S2013)


  • ECE334: Digital Electronics (F2009)
  • [DEEP] Instructor: The Building Blocks of Circuits


32-D475A, MIT
32 Vassar St,
Cambridge, MA

E-mail: vss at mit dot edu

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Vadim Smolyakov

PhD Student

Sensing, Learning, and Inference

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