Columbia University

Alon S. Levin

Ph.D. Student

Electrical Engineering
Columbia University

Office: 801 CEPSR
Email:
alon.s.levin[at]columbia.edu

Alon S. Levin received a B.Eng. in Electrical Engineering (magna cum laude) in 2020 and a M.Eng. in Electrical Engineering in 2021, both from The Cooper Union. His research interests are in compressed sensing, PHY layer algorithms, cognitive radio, and network security.

Education

Columbia University

  • Ph.D in Electrical Engineering, September 2021 – Present

The Cooper Union

  • M.E. in Electrical Engineering (2021)
    • Advisor: Prof. Fred Fontaine
      Thesis: “Hierarchical Semantic Segmentation of Histopathological Whole Slide Images by Means of Sparse Dictionary Learning”
  • B.E. in Electrical Engineering (2020)
    • GPA: 3.77 (Magna cum laude)

Awards & Honors

  • Radio Club of America Scholarship Award – Barone-DeBlasi-Facella Fund (2020)
  • IEEE-HKN, Delta Chi (2019 – 2021)
    • Chapter Vice President
  • Tau Beta Pi, New York Iota (2019 – 2021)
    • Chapter Corresponding Secretary
  • Innovator Merit Scholarship (2016 – 2020)
  • The Cooper Union Dean’s List (2016 – 2020)

Industry & Project Experience

Security & Controls Intern, ExxonMobil Research & Engineering (Summer 2020)

  • Established a centralized logging system to aggregate security logs, antivirus activity, and critical event data across all machines on processing plants’ L3 computer networks.
  • Automated cybersecurity analysis techniques to increase the efficiency of security event investigation processes.
  • Developed forensic monitoring and reporting protocols for industrial control systems.

Senior Capstone Project, The Cooper Union (Fall 2019 – Spring 2020)

  • Collaborated with the laboratory of Dr. Gaby Maimon at Rockefeller University in designing a near real-time computer vision and digital image processing algorithm to identify active compass-heading glomeruli in neural scans of flies.
  • Led three-person team as primary algorithm designer to produce viable proof-of-concept, meeting all hardware constraints.

NSF REU Fellow, New York Institute of Technology (Summer 2019)

  • Worked with Dr. Anand Santhanakrishnan to design a statistical model for inter-user relationships in the context of heterogeneous networks to investigate the impact of net neutrality on the churning rates of internet service providers.
  • Simulated a 20-user, 20-ISP heterogeneous network both in the presence of and absence of net neutrality.