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Tamal Bose

Contact
  • (520) 621-2434
  • ELECT/COMP ENGR, Rm. 230
  • TUCSON, AZ 85721-0104
  • tbose@arizona.edu
  • Bio
  • Interests
  • Courses
  • Scholarly Contributions

Biography

Tamal Bose is the department head and a Professor of the Department of Electrical and Computer Engineering at the University of Arizona. He is also the national director of the NSF sponsored multi-university multi-industry wireless research center BWAC. He is the author of Digital Signal and Image Processing (Wiley, 2004,) co-author of Basic Simulation Models of Phase Tracking Devices Using MA TLAB (Morgan & Claypool, 2010), and co-author of Partial Update Least-Square Adaptive Filtering (Morgan & Claypool, 2014). His research interests lie in the domain of signal processing for wireless communications.

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Courses

2022-23 Courses

  • Dissertation
    ECE 920 (Spring 2023)
  • Dissertation
    ECE 920 (Fall 2022)

2021-22 Courses

  • Dissertation
    ECE 920 (Spring 2022)
  • Dissertation
    ECE 920 (Fall 2021)

2020-21 Courses

  • Thesis
    ECE 910 (Summer I 2021)
  • Dissertation
    ECE 920 (Spring 2021)
  • Introduction to Communications
    ECE 340A (Spring 2021)
  • Thesis
    ECE 910 (Spring 2021)
  • Dissertation
    ECE 920 (Fall 2020)
  • Thesis
    ECE 910 (Fall 2020)

2019-20 Courses

  • Directed Research
    ECE 492 (Summer I 2020)
  • Dissertation
    ECE 920 (Spring 2020)
  • Introduction to Communications
    ECE 340A (Spring 2020)
  • Thesis
    ECE 910 (Spring 2020)
  • Dissertation
    ECE 920 (Fall 2019)
  • Research
    ECE 900 (Fall 2019)

2018-19 Courses

  • Directed Research
    ECE 492 (Summer I 2019)
  • Dissertation
    ECE 920 (Spring 2019)
  • Introduction to Communications
    ECE 340A (Spring 2019)
  • Dissertation
    ECE 920 (Fall 2018)
  • Research
    ECE 900 (Fall 2018)

2017-18 Courses

  • Directed Research
    ECE 492 (Summer I 2018)
  • Dissertation
    ECE 920 (Spring 2018)
  • Introduction to Communications
    ECE 340A (Spring 2018)
  • Research
    ECE 900 (Spring 2018)
  • Thesis
    ECE 910 (Spring 2018)
  • Dissertation
    ECE 920 (Fall 2017)
  • Introduction to Communications
    ECE 340A (Fall 2017)
  • Thesis
    ECE 910 (Fall 2017)

2016-17 Courses

  • Directed Research
    ECE 492 (Summer I 2017)
  • Dissertation
    ECE 920 (Spring 2017)
  • Dissertation
    ECE 920 (Fall 2016)
  • Introduction to Communications
    ECE 340A (Fall 2016)
  • Thesis
    ECE 910 (Fall 2016)

2015-16 Courses

  • Directed Research
    ECE 492 (Summer I 2016)
  • Thesis
    ECE 910 (Summer I 2016)
  • Dissertation
    ECE 920 (Spring 2016)
  • Thesis
    ECE 910 (Spring 2016)

Related Links

UA Course Catalog

Scholarly Contributions

Journals/Publications

  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015). Metacognitive Radio Engine Design and Standardization. IEEE Journal of Selected Areas in Communications (JSAC), 33(4), 711-724.
  • Newman, T. R., Shajedul Hasan, S., DePoy, D., Bose, T., & Reed, J. H. (2010). Designing and deploying a building-wide cognitive radio network testbed. Communications Magazine, IEEE, 48(9), 106--112.
  • Thamvichai, R., Bose, T., & Haupt, R. L. (2002). Design of 2-D multiplierless IIR filters using the genetic algorithm. Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on, 49(6), 878--882.
  • Bose, T. (1995). Stability of the 2-D state-space system with overflow and quantization. Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, 42(6), 432--434.
  • Bose, T., & Chen, M. (1995). Conjugate gradient method in adaptive bilinear filtering. Signal Processing, IEEE Transactions on, 43(6), 1503--1508.

Proceedings Publications

  • Krunz, M., Bose, T., & Vanhoy, G. (2017, November). Improving PHY-layer security with probabilistic symbol extension. In 2017 Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio (WInnComm 2017), San Diego.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, March). On Quantifying the Experience Level of a Cognitive Engine. In SDR-WinnComm (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 9-15.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2014, March 11-13). Learning Characterization Framework and Analysis for a Meta-Cognitive Radio Engine. In SDR-WInnComm 2014 (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 132 – 139.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2014, March 11-13). Learning Characterization Framework and Analysis for a Meta-Cognitive Radio Engine. In SDR-WInnComm 2014 (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), pp. 132 – 139.

Poster Presentations

  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, April). On Quantifying the Experience Level of Cognitive Engines for Metacognition. Broad Band Wireless And Applications Research Center bi-annual meeting. University of Notre Dame, South Bend, IN.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, November). Improving Robustness of a Cognitive Radio Engine. Broad Band Wireless And Applications Research Center bi-annual meeting. University of Mississippi, Oxford, MS.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2014, March). Meta Cognitive Radio Engine Design and Development. Broad Band and Wireless Research Center annual meeting. University of Virginia.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2013, April). Intelligent Cognitive Radio Agents: Framework, Architectures, Analysis. Broad Band Wireless And Applications Research Center bi-annual meeting. Biosphere 2, Oracle, AZ.
  • Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2013, March). Intelligent Cognitive Radio Agents: Framework, Architectures, Analysis. Broad Band and Wireless Research Center annual meeting. Biosphere 2.

Others

  • Bose, T., Derby, H. V., Levien, A. K., & Pankratz, A. W. (1998). Method and apparatus for measuring pressure in a coriolis mass flowmeter.
  • Bose, T., Derby, H. V., & Rajan, S. (1996). Method and apparatus for adaptive line enhancement in Coriolis mass flow meter measurement.

Profiles With Related Publications

  • Ravi Tandon
  • Michael M. Marefat

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