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Bhuvana Krishnaswamy

Bhuvana Krishnaswamy

Associate Professor
gscholar website
lab website

Meet ECE Assistant Professor Bhuvana Krishnaswamy, an award-winning researcher and instructor in the field of Communications, Networks, Privacy and Security. In this video profile, hear Krishnaswamy talk about her research in wireless networks, how her research influences her teaching, and the community of collaboration that is provided by UW–Madison.

Department

Electrical & Computer Engineering

Contact

3617, Engineering Hall
1415 Engineering Dr
Madison, WI
p: (608) 265-7849

Professor Bhuvana Krishnaswamy - Department of Electrical and Computer Engineering at UW–Madison

  • PhD 2018, Georgia Institute of Technology
  • MS 2013, Georgia Institute of Technology
  • BS 2011, College of Engineering

  • Wireless Networks
  • Low-Power Wireless Systems
  • Internet-of-Things
  • Biological Networks

  • 2024 IEEE, Senior Member
  • 2023 College of Engineering, University of Wisconsin-Madison, Charles Ringrose Assistant Professorship
  • 2023 University of Wisconsin-Madison, Wisconsin Hilldale Undergraduate/Faculty Research Fellowship
  • 2023 University of Wisconsin-Madison, Early Career Innovator Award
  • 2022 Electrical and Computer Engineering, University of Wisconsin-Madison, Honored Instructor
  • 2022 Networking Networking Women (N2Women), N2Women Rising Star
  • 2022 National Science Foundation, NSF CAREER Award
  • 2022 MobiCom, Outstanding program committee member award
  • 2020 Wisconsin Alumni Research Foundation (WARF), Finalist, Innovation Award
  • 2019 Wisconsin Alumni Research Foundation (WARF) , Finalist, Innovation Award
  • University of Wisconsin-Madison, Fellow, Madison Teaching and Learning Excellence (MTLE)

  • Shahid, M. O., Koch, D., Raghuram, J., Krishnaswamy, B., Chintalapudi, K., & Banerjee, S. (2024). {Cloud-LoRa}: Enabling Cloud Radio Access {LoRa} Networks Using Reinforcement Learning Based {Bandwidth-Adaptive} Compression. In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) (pp. 1959–1976).
  • Shahid, M. O., & Krishnaswamy, B. (2024). BYOG: Multi-Channel, Real-time LoRaWAN Gateway Testbed using General-purpose Software Defined Radio. Proceedings of the ACM on Networking, 2(CoNEXT2), 1--17.
  • Zhang, D., Polamarasetty, A., Shahid, M. O., Krishnaswamy, B., & Ma, C. (2024). Metamaterial-based passive analog processor for wireless vibration sensing. Communications Engineering, 3(1), 44.
  • Mishra, M., Koch, D., Shahid, M. O., Krishnaswamy, B., Chintalapudi, K., & Banerjee, S. (2023). OpenLoRa: Validating LoRa Implementations through an Extensible and Open-sourced Framework. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI) (p. 19).
  • Wang, J., "Oug"ut, Sevda,, Al Hassanieh, H., & Krishnaswamy, B. (2023). Towards practical and scalable molecular networks. In Proceedings of the ACM SIGCOMM 2023 Conference (pp. 62–76).
  • Lee, J., Gupta, M., Krishnaswamy, B., & Banerjee, S. (2023). When Two Cameras Are a Crowd. Communications of the ACM, 66(12), 72--82.
  • Petersen, I., Cao, A., Goforth, A., Vena, A., McClean, M. N., Walker, B., & Krishnaswamy, B. (2022). Microfluidic chip for biosensing yeast cells. In Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication (pp. 1–2).
  • Koch, D. J., Shahid, M. O., & Krishnaswamy, B. (2022). Spreading factor detection for low-cost adaptive data rate in lorawan gateways. In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (pp. 918–924).
  • Sangar, Y., Biradavolu, Y., & Krishnaswamy, B. (2022). A Novel Time-Interval Based Modulation for Large-Scale, Low-Power, Wide-Area-Networks. ACM Transactions on Sensor Networks, 18(4), 1--30.
  • Sangar, Y., Biradavolu, Y., Pederson, K., Ranganathan, V., & Krishnaswamy, B. (2022). PACT: Scalable, Long-Range Communication for Monitoring and Tracking Systems Using Battery-less Tags. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(4), 27.

  • COMP SCI 252 - Introduction to Computer Engineering (Spring 2025)
  • E C E 252 - Introduction to Computer Engineering (Spring 2025)
  • E C E 399 - Independent Study (Spring 2025)
  • E C E 790 - Master's Research (Spring 2025)
  • E C E 890 - Pre-Dissertator's Research (Spring 2025)
  • E C E 990 - Dissertator's Research (Spring 2025)
  • E C E 537 - Communication Networks (Fall 2024)
  • E C E 790 - Master's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • E C E 990 - Dissertator's Research (Fall 2024)
  • E C E 790 - Master's Research (Summer 2024)
  • E C E 890 - Pre-Dissertator's Research (Summer 2024)
  • E C E 990 - Dissertator's Research (Summer 2024)
  • E C E 203 - Signals, Information, and Computation (Spring 2024)
  • E C E 790 - Master's Research (Spring 2024)
  • E C E 890 - Pre-Dissertator's Research (Spring 2024)
  • E C E 990 - Dissertator's Research (Spring 2024)
  • E C E 399 - Independent Study (Fall 2023)
  • E C E 699 - Advanced Independent Study (Fall 2023)
  • E C E 790 - Master's Research (Fall 2023)
  • E C E 990 - Dissertator's Research (Fall 2023)
  • E C E 790 - Master's Research (Summer 2023)
  • E C E 990 - Dissertator's Research (Summer 2023)