Ahmad Beirami

Postdoctoral Fellow
School of Engineering and Applied Sciences, Harvard University
Electrical Engineering and Computer Science Department, MIT


beirami AT seas(dot)harvard(dot)edu
beirami AT mit(dot)edu


Ahmad Beirami received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007 and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. He is currently a postdoctoral fellow with the school of engineering and applied sciences at Harvard University, and also with electrical engineering and computer science department at MIT. Previously, he was a postdoctoral associate at Duke University. His research interests broadly include machine learning, statistics, information theory, signal processing, and networks. He is the recipient of the 2013-2014 School of ECE Graduate Research Excellence Award and the 2015 Sigma Xi Best Ph.D. Thesis Award from the Georgia Institute of Technology.

Education & Professional Experience

  • 2016-present       Postdoctoral Fellow in EE, Harvard University (Mentor: Vahid Tarokh)
  • 2015-present       Postdoctoral Associate in EECS, MIT (Mentor: Muriel Médard)
  • 2014-2016           Postdoctoral Associate in ECE, Duke University (Mentor: Robert Calderbank)
  • 2009-2014           Ph.D. in ECE, Georgia Tech (Advisor: Faramarz Fekri)
  • 2009-2011           M.Sc. in ECE, Georgia Tech (Advisor: Faramarz Fekri)
  • 2003-2007           B.Sc. in EE, Sharif University of Technology

Honors & Awards

  • Distinction in Teaching Award, Harvard University (2017)
  • Exemplary Reviewer, IEEE Transactions on Communications (2016)
  • 2015 Sigma Xi Best Ph.D. Thesis Award, Georgia Tech (2015)
  • 2013-2014 Graduate Research Excellence Award, School of ECE, Georgia Tech (2014)
  • Outstanding Research Award, Center for Signal and Information Processing, Georgia Tech (2014)
  • Outstanding Service Award, Center for Signal and Information Processing, Georgia Tech (2014)
  • Best Student Paper Nomination, 51st IEEE International Midwest Symposium on Circuits and Systems (2008)
  • Bronze Medal, 20th Iranian National Mathematics Olympiad (2002)

Selected Publications

  • Data-dependent randomized features for generalizability in large-scale supervised learning:
    S. Shahrampour, A. Beirami, and V. Tarokh, "On data-dependent random features for improved generalization in supervised learning," accepted in Proc. of The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). [arXiv]
  • Computationally efficient approximate cross validation and parameter tuning in supervised/unsupervised learning:
    A. Beirami, M. Razaviyayn, S. Shahrampour, and V. Tarokh, "On optimal generalizability in parametric learning," accepted in Proc. of 2017 Advances in Neural Information Processing Systems (NIPS 2017). [arXiv]
  • Measuring data security against brute-force cyberattack:
    A. Beirami, R. Calderbank, M. Christiansen, K. Duffy, and M. Médard, "A characterization of guesswork on swiftly tilting curves," submitted to IEEE Transactions on Information Theory, 2017 (Short version appeared in Allerton 2015). [arXiv]
  • Information-theoretic techniques for converse sample complexity bounds in supervised learning:
    M. Nokleby, A. Beirami, and R. Calderbank, "Rate-distortion bounds on Bayes risk in supervised learning," submitted to IEEE Transactions on Information Theory, 2016 (Short version appeared in ISIT 2016). [arXiv]
  • Fast data compression in large-scale networks using unsupervised learning:
    A. Beirami, M. Sardari, and F. Fekri, "Packet-level network compression: realization and scaling of the network-wide benefits," IEEE/ACM Transactions on Networking, vol. 24, no. 3, pp. 1588-1604, June 2016 (Short version appeared in INFOCOM 2012). [arXiv]

See my Google Scholar page for a complete list of publications.

Teaching Experience

  • Section instructor for Harvard ES 156 — Signals and Systems (Spring 2017) (Rating: 4.79/5.00)
  • Recitation instructor for MIT EECS 6.02 — Intro to EECS II: Digital Communication Systems (Fall 2015) (Rating: 6.00/7.00)
  • Principal instructor for Duke ECE 587/STA 563 — Information Theory (Spring 2015) (Rating: 4.86/5.00)
  • TA for Georgia Tech ECE 6605 — Information Theory (Fall 2013)
  • TA for Georgia Tech ECE 3040 — Microelectronic Circuits (Spring 2011)