Columbia University

Mahshid Ghasemi

Ph.D. Student

Electrical Engineering
Columbia University

Office: 801 CEPSR
Email | Twitter | GitHub

I am currently a Ph.D. student in the Department of Electrical Engineering at Columbia University. I am a member of the Wireless & Mobile Networking(Wim.Net) lab directed by Prof. Gil Zussman. I graduated with a B.Sc. degree in Electrical Engineering from Sharif University of Technology in Feb. 2019. My research interests are Edge/cloud computing, wireless/wired networks and systems, multimedia streaming, machine learning (ML), reinforcement learning (RL), data and analytics, online optimization, and algorithms. I actively contribute to the COSMOS Smart Cities and the Digital Twin of New York City projects.

Here is my full resume.

Education

      Columbia University in the City of New York

Ph.D. in Electrical Engineering, GPA: 4.09/4 (Sep. 2019 – Present)

      Sharif University of Technology

B.Sc. in Electrical Engineering, GPA: 19.38/20 (2014 – Feb. 2019)

    • Ranked 1st in the Electronics field.
    • Implementation of a general constrained Quadratic Programming optimizer for Model Predictive Control (MPC) application
    • Advisor: Dr. Amin Rezaeizadeh

      Sharif University of Technology

Minor in Computer Science, GPA: 19.6/20 (27 credits) (2015 – 2018)

Honors and Awards

  • Columbia University Armstrong Memorial Award (2021)
  • ACM SIGMETRICS’21 Student Research Competition (SRC) Finalist (2021)
  • Columbia University Presidential Fellowship (2019)
  • Awarded as an Outstanding Student by the university president, Sharif University of Technology (2018)
  • Awarded as an Outstanding Student by the university president, Sharif University of Technology (2017)
  • Awarded as an Outstanding Student by the university president, Sharif University of Technology (2016)
  • Iranian National Elites Foundation grant for undergraduate studies, for outstanding academic success (2014–2018).

Publications

  1. G. Jain, B. Hindi, M. Xie, Z. Zhang, K. Srinivasula, M. Ghasemi, D. Weiner, X. Xu, S. Paris, C. Tedjo, J. Bassin, M. Malcolm, M. Turkcan, J. Ghaderi, Z. Kostic, G. Zussman, and B. Smith“Towards Street Camera-based Outdoor Navigation for Blind Pedestrians,” to appear in Proc. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’23), Poster Session. [paper]
  2. M. Ghasemi, Z. Yang, M. Sun, H. Ye, Z. Xiong, J. Ghaderi, Z. Kostic, and G. Zussman, “Video-based Social Distancing: Evaluation in the COSMOS Testbed,” in IEEE IoT Journal’23. [paper] 
  3. M. Ghasemi, S. Kleisarchaki, T. Calmant, J. Lu, S. Ojha, Z. Kostic, L. Gürgen, J. Ghaderi, and G. Zussman, “Real-time Multi-Camera Analytics for Traffic Information Extraction and Visualization, in Proc. IEEE PerCom’23 Demo Session. [paper] [demo] [demo-accident-prevention] [demo-traffic-light-status-detection] [poster]
  4. M. Ghasemi, S. Kleisarchaki, T. Calmant, L. Gürgen, J. Ghaderi, Z. Kostic, and G. Zussman,“Demo: Real-time Camera Analytics for Enhancing Traffic Intersection Safety,” in Proc. ACM MobiSys’22, June 2022. [paper] [demo] [presentation] [poster] [slides]
  5. M. Ghasemi, Z. Yang, M. Sun, H. Ye, Z. Xiong, J. Ghaderi, Z. Kostic, and G. Zussman, “Demo: Video-based Social Distancing Evaluation in the COSMOS Testbed Pilot Site,” in Proc. ACM MobiCom’21, Mar. 2022. [paper] [demo-B-SDA] [demo-Auto-SDA] [poster] 
  6. M. Ghasemi, Z. Kostic, J. Ghaderi, and G. Zussman, “Auto-SDA: Automated Video-based Social Distancing Analyzer,”3rd Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo), Oct. 2021.  [paper] [demo-group-detection] [slides] 
  7. M. Ghasemi, “Auto-SDA: Automated Video-based Social Distancing Analyzer,” ACM SIGMETRICS Performance Evaluation Review, Vol 49, No. 2, Sept. 2021 (finalist for SIGMETRICS’21 SRC). 

Talks, Demos, and Poster Presentations

  1. M. Ghasemi, Z. Kostic, and G. Zussman, and J. Ghaderi “ASTRA: Adaptive STreaming for Real-Time Video Analysis,”  presented at ACM SIGCOMM N2Women Workshop, Sept. 23.
  2. M. Ghasemi, S. Kleisarchaki, T. Calmant, J. Lu, S. Ojha, Z. Kostic, L. Gürgen, J. Ghaderi, and G. Zussman, “Real-time Multi-Camera Analytics for Traffic Information Extraction and Visualization,” presented at the Columbia University Data Science Day, Apr. 23
  3. M. Ghasemi, Z. Yang, M. Sun, H. Ye, Z. Xiong, J. Ghaderi, Z. Kostic, and G. Zussman,“ Video-based Social Distancing Evaluation in the COSMOS Testbed Pilot Site,presented at the Columbia University Data Science Day Poster Session, Apr. 22.
  4. M. Ghasemi, Z. Kostic, J. Ghaderi, and G. Zussman, “Auto-SDA: Automated Video-based Social Distancing Analyzer,presented at the ACM Wireless of the Students, by the Students, and for the Students (S3), Feb. 22.
  5. M. Ghasemi, Z. Kostic, J. Ghaderi, and G. Zussman,“ Video-based Social Distancing Evaluation in the COSMOS Testbed Pilot Site,presented at the ACM SIGMETRICS Student Research Competition (SRC) Finalists Session, June 21.
  6. M. Ghasemi, M. Zhu, T. Dai, U. Dinesha, J. Ghaderi, Z. Kostic, and G. Zussman, “ASTRA: Adaptive STreaming System for Real-Time Video Analysis,”  presented at the Columbia University Data Science Day Poster Session,  Apr. 21.
  7. M. Ghasemi, Z. Kostic, J. Ghaderi, and G. Zussman, “Auto-SDA: Fully Automated Video-based Social Distancing Analyzer Pipeline,presented at the Columbia University Data Science Day Poster Session, Apr. 21.
  8. M. Ghasemi, Z. Kostic, J. Ghaderi, and G. Zussman, “Video-based Social Distancing Evaluation in the COSMOS Testbed Pilot Site,presented at the Columbia University Data Science Institute (DSI) Smart Cities Center Poster Session, Mar. 20.