Adaptive Integrated Microsystems Laboratory

"bringing intelligence into micro-nano-systems"

The focus of our research group is integration of adaptive and machine learning techniques with micro-systems to achieve ultra-low power and robust operation

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Journal Publications

Y. Liu, A. Gore, S. Chakrabartty, and E. C.Alocilja, ``Characterization of Sub-systems of a Molecular Bio-wire based Biosensor Device,''  Microchimica Acta (In Press), 2008.

C.Kong and S.Chakrabartty, "Analog Iterative Decoders based on Margin Propagation" , IEEE Transactions on Circuits and Systems II , pp. 1140-1144, Vol. 54, no. 12, Dec. 2007.

Y. Liu, S. Chakrabartty, and E. C.Alcilja, "Fundamental Building Blocks for Molecular Bio-wire based Forward-error Correcting Biosensors", Nanotechnology, 18 (2007) 4240172.

S. Chakrabartty, Y. Deng and G. Cauwenberghs, "Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space ",  IEEE Transactions on Speech, Language and Acoustics, pp. 1842-1849, Vol. 15  Issue: 6, Aug. 2007.

 V. Venkataramani, S. Chakrabartty, and  W. Byrne, "Gini-Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech ", Computer Speech and Language, Volume 21, Issue 3, July 2007, pp. 423-442.

S. Chakrabartty; G. Cauwenberghs, "A Sub-microwatt Analog VLSI Trainable Pattern Classifier ",  IEEE Journal of Solid-State Circuits, Volume 42, Issue:5, Page(s): 1169-1179, May 2007.

Chakrabartty, S.; Cauwenberghs G. "Gini-Support Vector Machine:  Quadratic Entropy Based Multi-class Probability Regression", Journal of Machine Learning Research, 8(Apr):813--839, 2007.

Gore, A.; Chakrabartty, S.; Pal, S.; Alocilja, E. C. "A Multichannel Femtoampere-Sensitivity Potentiostat Array for Biosensing Applications", IEEE Transactions on Circuits and Systems I: Regular Papers,Volume 53,  Issue 11,  Nov. 2006 Page(s):2357-2363

Zuo, Y.; Chakrabartty, S.; Pal, S.; Tahir, Z.,Alocilja, E. C. "Spatio-temporal Processing of Multi-channel Biosensors using Support Vector Machines", IEEE Sensors Journal, Volume 6, Issue 6, Page(s): 1644-1651, Dec 2006.

R. Genov, S. Chakrabartty and G.Cauwenberghs, "Silicon Support Vector Machine with On-Line Learning ", Int. J. Pattern Recognition and Artificial Intelligence, vol. 17 (3), pp. 385-404, 2003.

Refereed Conference Publications

Y. Liu, S. Chakrabartty, and E. C.Alocilja, ``A Multiplexed Biosensor based on Bio-molecular Nanowires,'' IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008  (To appear)

Y. Liu, S. Chakrabartty, ``Computer Aided Simulation and Verification of Forward Error-Correcting Biosensors,''  IEEE International Symposium on Circuits and Systems , Seattle, USA, 2008 (To appear)

Y. Liu, A. Gore, S. Chakrabartty, E. C.Alocilja, ``A Molecular Bio-wire based Multi-array Biosensor with Integrated potentiostats," IEEE Biomedical Circuits and Systems Conference,
pp. 29-32, Montréal, Canada, Nov.2007.

Y. Liu, S. Chakrabartty, D. S. Gkinosatis, A.K.Mohanty, and N. Lajnef, "Multi-walled Carbon Nanotubes/Poly(L-lactide) Nanocomposite Strain Sensor for Biomechanical Implants,"  IEEE Biomedical Circuits and Systems Conference, pp. 119-122, Montréal, Canada, Nov.2007.

Y. Liu, S. Chakrabartty, and E. C.Alocilja, ``A Forward Error Correcting Biosensor Based on Molecular Nanowire," Nanoelectronic Devices for Defense and Security Conference, Crystal City, Virginia, 18-21 June 2007.

Yang Liu , Dimitris Stamatis Gkinosatis, Amar K.Mohanty, and Shantanu Chakrabartty, “Carbon Nanotube/Polylactide Nanocomposites for Wearable Strain Sensors”, Nano and Giga Challenges in Electronics and Photonics, Phoenix, Arizona, March, 2007, U.S.A

P. Kucher and S. Chakrbartty , An Energy-Scalable Margin Propagation-Based Analog VLSI Support Vector Machine,  IEEE Symposium on Circuits and Systems (ISCAS'2007), New Orleans 2007.

N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin,  Piezo-Powered Floating Fate Injector for Self-Powered Fatigue Monitoring in Biomechanical Implants,  IEEE Symposium on Circuits and Systems (ISCAS'2007), New Orleans 2007.

N. Lajnef, S. Chakrbartty, N. Elvin and A. Elvin, A sub-microwatt self-powered fatigue sensor ,  14th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, San Diego, March 2007.

A. Gore and S. Chakrbartty , Large Margin Analog-to-digital converters with applications in Neural Prosthetics,  Adv. Neural Information Processing Systems (NIPS'2006).

S. Chakrbartty, A.Gore and K.Oweiss, An Adaptive multiple-input multiple-output sigma-delta converter for high-density neuroposthetic electrode arrays, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  

A.Gore, S.Chakrabartty, S. Pal and E. Alocilja, A Multi-channel Femtoampere Sensitivity Conductometric Array for Biosensing Applications, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  

N. Lajnef, S.Chakrabartty and N.Elvin, A Sub-microwatt Piezo-floating-gate Sensor for Long-term Fatigue Monitoring in Biomechanical Implants, IEEE Conference on Engineering in Medicine and Biology (EMBC 2006), New York.  

C.Kong and S.Chakrabartty, Analog Margin Propagation based Iterative LDPC Decoders, Analog Decoding Workshop, Torino, Italy 2006.

S. Chakrabartty, CMOS analog iterative decoders using margin propagation circuits,
Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006

P. Kucher and S. Chakrabartty, An Adaptive CMOS Imager with Time-based Compressive Active-pixel Response, , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006.

A. Gore and S. Chakrabartty, Online Calibration of Floating-gate Detectors for RFID Sensors, Midwest Symposium on Circuits and Systems 2005 (Invited Presentation), 7-10 Aug. 2005 Page(s):87 - 90 Vol. 1.

S. Chakrabartty and G. Cauwenberghs ,Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation, Adv. Neural Information Processing Systems (NIPS'2004), Cambridge: MIT Press, 17, 2005

C. Kun, S. Chakrabartty and A. Mason, A Dynamic Reconfigurable A/D Converter for Sensor Applications , IEEE Sensors Conference, 30 Oct.-3 Nov. 2005.

S. Chakrabartty and G. Cauwenberghs, Fixed-current Method for Programming Large Floating Gate Arrays , Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2005), 23-25 May 2005.

Vogelstein, R.J.; Murari, K.; Thakur, P.H.; Diehl, C.; Chakrabartty, S.; Cauwenberghs, G.;Spike sorting with support vector machines, IEEE Conference on Engineering in Medicine and Biology (EMBC 2004),Volume 1,  2004 Page(s):546 - 549 Vol.1.

S. Chakrabartty and G. Cauwenberghs, Margin Propagation and Forward Decoding in Analog VLSI, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS'2004), Vancouver Canada, 2004.

Y.Deng, S. Chakrabartty and G. Cauwenberghs, A Three Decades Programmable Fully Differential OTA Design, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS'2004), Vancouver Canada, 2004.

S. Chakrabartty, Y. Deng and G. Cauwenberghs, Robust Speech Feature Extraction by Growth Transformation in Reproducing Kernel Hilbert Space,  Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP'2004), Montreal Canada, 2004.

V. Venkataramani, S. Chakrabartty and W. Byrne, Support Vector Machines for Segmental Minimum Bayes Risk Decoding of Continuous Speech, IEEE Automatic Recognition and Understanding Wokshop (ASRU’03)  St. Thomas, U.S. Virgin Islands, Nov. 30-Dec. 4, 2003.

S. Chakrabartty, G. Cauwenberghs and Jayadeva, Sparse Probability Regression by Label Partitioning, Proc. 16th Conf. Computational Learning Theory (COLT'03), Washington DC, Aug. 24-27, 2003.

S. Chakrabartty and G. Cauwenberghs, Power Dissipation Limits and Large Margin in Wireless Sensors, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS'2003), Bangkok Thailand, May 25-28, 2003.

S. Chakrabartty, M. Yagi, T. Shibata and G. Cauwenberghs, Robust Cephalometric Landmark Identification Using Support Vector Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP'2003), Hong Kong, Apr. 6-10, 2003.

S. Chakrabartty and G. Cauwenberghs, Expectation Maximization of Forward Decoding Kernel Machines, Proc. 9th Int. Workshop Artificial Intelligence and Statistics (AISTATS'2003), Key West FL, Jan. 3-6, 2003.

S. Chakrabartty and G. Cauwenberghs, Forward-Decoding Kernel-Based Phone Sequence Recognition, Adv. Neural Information Processing Systems (NIPS'2002), Cambridge: MIT Press, vol. 15, 2003.

S. Chakrabartty and G. Cauwenberghs, Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition,  Proc. SVM'2002, Lecture Notes in Computer Science, vol. 2388, pp. 278-292, 2002.

S. Chakrabartty and G. Cauwenberghs, Sequence Estimation and Channel Equalization Using Forward Decoding Kernel Machines, Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP'2002), Orlando FL, May 13-17, 2002.

S. Chakrabartty and G. Cauwenberghs, Hybrid Support Vector Machine, Hidden Markov Model Approach for Continuous Speech Recognition, Proc. 43rd IEEE Midwest Symp. Circuits and Systems (MWSCAS'2000), Lansing MI, August 8-11, 2000.

S. Chakrabartty, M. Stanacevic and T.D. Tran, Adaptive Image Database Using Wavelets,  Proc. 34th IEEE Asilomar Conference on Signals,Systems and Computers, vol. 2, pp. 1856-1860, Pacific Grove, Oct. 2000.G.


 

 

Questions and comments: shantanu at msu dot edu