Columbia University

Abhi Adhikari

Ph.D. Student
Columbia University Evergreen Fellow

Electrical Engineering
Columbia University

Email: aa4832[at]

Abhi Adhikari received a B.S. in Computer Engineering (Magna Cum Laude) from Drexel University in 2021. His research interests are in software-defined/cognitive radio, 5G/6G networks, mmWave, and radar.



Columbia University

  • M.S./Ph.D. Student, Electrical Engineering Fall 2021 – Present
    • Research Interests: Wireless and Mobile Networking
    • Advisor: Prof. Gil Zussman

Drexel University

  • B.S. Computer Engineering, Graduated 2021
  • Final GPA:3.85, Magna Cum Laude

Awards & Honors

  • NSF GRFP Honorable Mention (2022)
  • Columbia University Evergreen Fellow (2021)
  • Drexel University Dean’s List (2021)
  • IEEE-HKN (2020)
  • Tau Beta Pi (2020)
  • A.J. Drexel Scholarship (2018)
  • Pennsylvania NASA Space Grant Scholarship (2017, 2018)



  • Adhikari, Abhishek 2019. “System and method for controlling, sharing, release and management of digital data between smart mobile device(s) and external device(s) using a connector pad.” U.S. Patent 10,348,691 filed May 14, 2018, and issued July 9, 2019.
  • Adhikari, Abhishek 2018. “System and method for making a quick connection between a smart mobile device and external audio speakers and video monitors using a connector pad.” U.S. Patent 9,998,848 filed November 13, 2015, and issued June 12, 2018.


  • M. Kohli, A. Adhikari, G. Avci, S. Brent, J. Moser, S. Hossain, A. Dash, I. Kadota, R. Feick, D. Chizhik, J. Du, R. Valenzuela, G. Zussman, “Outdoor-to-Indoor Measurements of 28 GHz Wireless in a Dense Urban Environment,” submitted.
  • A. Adhikari, S. Parihar, S. Das, M. Jacovic, A. Trezza, V. Pano, and K. R. Dandekar, “Software-Defined Radar Testbed for Multi-Target Tracking,” in Proc. of 2022 IEEE RadarConf, NYC, NY. Sept. 2021.

Posters and Demos

  • A. Adhikari, M. Kohli, G. Avci, S. Brent, J. Moser, S. Hossain, A. Dash, S. Mukherjee, C. Garland, I. Kadota, R. Feick, D. Chizhik, J. Du, R. Valenzuela, G. Zussman, “mmWave Measurements for Fixed and Mobile Wireless Access Algorithm Development,” presented at 2022 Columbia Data Science Day, NYC, NY. Poster Presentation, Apr. 2022.
  • G. Avci, S. Brent, S. Hossain, J. Moser, A.D. Estigarribia, M. Kohli, I. Kadota, A. Adhikari, D. Chizhik, J. Du, R. Feick, R. Valenzuela, G. Zussman, “Outdoor-to-Indoor 28 GHz mmWave Measurements in the COSMOS Testbed Deployment Area,” 2021 IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, MA. Poster Presentation, Oct. 2021.
  • Silicon Harlem, Demo of COSMOS Edu. Toolkit to various communities and stakeholders, West Harlem, NYC, Feb.-Apr. 2022.
  • Silicon Harlem, Demo of COSMOS Edu. Toolkit to Silicon Harlem, West Harlem, NYC, Sept. 2021.


  • A. Adhikari, J. Shane, J. Kolodziejski, P. Skrimponis, I. Seskar, T. Chen, S. Rangan, G. Zussman, “COSMOS Testbed for Advanced Wireless and Edge Cloud Research,” to be presented at 2022 ACM SIGCOMM, Amsterdam, NL. Tutorial, Aug. 2022.

Industry Experience

  • Nokia Bell Labs (Murray Hill)
    • Developed software for a rotating 140 GHz channel sounder which generates angle-power spectrum at a high resolution by coordinating angular position with various sensors on the sounder and adding interpolation to fill in missing entries.
    • Collecting real-world around-the-corner 28 GHz mmWave measurements as part of a large scale measurement campaign in Manhattan, NY. These results will be used to validate the effectiveness of reconfigurable intelligent surfaces via simulation.
    • Predicting path loss around-the-corner using Lidar data of Manhattan, NY as a training set, with collected 28 GHz mmWave measurements serving as ground truth/labels.
  • Lockheed Martin Advanced Technologies Laboratories (ATL)
    • Senior Capstone Project – Team Lead, September 2020 – June 2021
      • Designed a software-defined mmWave radar testbed to enable rapid prototyping of multi-target tracking (MTT) algorithms for future autonomous vehicles.
      • Built and tested a Joint Probabilistic Data Association tracking filter with real-world software-defined radio (SDR) Radar MTT data collected by testbed.
      • Leveraged a channel emulator and ray-tracing software for modeling the RF signature of the Ben Franklin Bridge to perform MTT in a complex radar environment.
    • Applied Research Co-Op, May 2020 – September 2020
      • Created a GNU Radio Out-Of-Tree Module to wrap a C++ radar algorithm (CA-CFAR) into a Python interface for use with SDR.
      • Wrote a C++ benchmarking tool to characterize radar algorithm performance
      • Enabled real-time I/Q collection from SDR through SoapySDR, SDRAngel, and UHD.
      • Presented work to Lockheed ATL Chief Technology Officer in Quarterly Performance Review.

Teaching and Mentorship

  • Teaching Assistant (Columbia, Electrical Engineering)
    • CSEEW4119 Computer Networks, Head TA, Spring, Summer 2022
    • ELENE1201 Introduction to Electrical Engineering, Fall 2021
  • Undergraduate Students
    • Shivan Mukherjee, Columbia University, January 2022 – Present
    • Carson Garland, Columbia University, January 2022 – May 2022
    • Kaya Celebi, REU from Duke University, June 2021 – Present
    • Sabbir Hossain, Columbia-Amazon SURE, City College of New York, June 2021 – August
  • High School Students
    • Aahan Mehta, Stuyvesant High School, June 2022 – Present
    • Jared Moser, Stuyvesant High School, June 2021 – August 2022
  • Participated in the COSMOS/EFRI RET/REM program, Sept. 2021