M.Sc. Project Seminars

The M.Sc. project seminar series is an initiative by Andrew and I and it represents a venue for M.Sc. students to present and discuss a technical in-depth sub topic of an ongoing M.Sc. project. As of yet, we have chaired two successful seminars (with presentations by Sina Tamanna and Nooshin HajiGhasemi).
Seminars are organized on Friday at 4 pm every other week (odd week numbers). Each seminar is 1 hour long during which the student(s) is given 30 min to present the sub topic and then in-depth discussions about the sub topic follow for another 30 min.
Seniors, Ph.D. students, and M.Sc. thesis students are more than welcome to attend but the number of seats is limited.

The M.Sc. project seminar series is an initiative started in 2012. The aim is to provide a venue for M.Sc. students to present and get feedback on a technical in-depth sub topic of an ongoing M.Sc. project. Seminars are organized biweekly (during odd weeks). Each session is one hour long during which the student(s) is given 30 minutes to present the sub topic and then in-depth discussions about the sub topic follow (an additional 30 minutes). Senior researchers, Ph.D. students, and M.Sc. thesis students are more than welcome to attend but the number of seats is limited.

2012

Seminar chairs: Andrew Moss, Niklas Lavesson

  1. Discretization Algorithms - Suitable Performance Measures

    Presenter(s): Sina Tamanna
    Room: Claude Shannon
    Date: Friday, Jan 20
    Time: 4 pm - 5 pm

  2. Generative vs. Discriminative Models

    Presenter(s): Nooshin HajiGhasemi
    Room: Claude Shannon
    Date: Friday, Feb 3
    Time: 5 pm - 6 pm

  3. Agent-based Simulation of the Primary Care

    Presenter(s): Sarmad Rohani
    Room: Claude Shannon
    Date: Friday, Feb 17
    Time: 4 pm - 5 pm

  4. Concept Drift in Surgery Prediction

    Presenter(s): Ayne Assegahegne and Tewelle Welemariam
    Room: Claude Shannon
    Date: Friday, Mar 2
    Time: 3 pm - 4 pm

  5. An Overview on Data Compression

    Presenter(s): Pouya Sinaian
    Room: Claude Shannon
    Date: Friday, Mar 16
    Time: 3 pm - 4 pm

  6. Optimization in Deep Learning

    Presenter(s): Nooshin HajiGhasemi
    Room: Claude Shannon
    Date: Friday, Apr 27
    Time: 3 pm - 4 pm

  7. Analysis of Discretization

    Presenter(s): Sina Tamanna
    Room: Claude Shannon
    Date: Friday, May 11
    Time: 3 pm - 4 pm

  8. T.B.A. 

 

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