Three Minute Thesis Competition
Wed, 9 Mar, 01:00 - 03:10 China Standard Time (UTC +8)
Tue, 8 Mar, 18:00 - 20:10 Central European Standard Time (UTC +2)
Tue, 8 Mar, 17:00 - 19:10 Coordinated Universal Time
Tue, 8 Mar, 12:00 - 14:10 Eastern Standard Time (UTC -4)

3MT®, founded by the University of Queensland in 2008, is an academic competition that cultivates students’ presentation and research communication skills and challenges them to describe their research within three minutes to a general audience with one static slide.

Join us to cheer for the 10 finalists presenting live their research in only 3 minutes. The judging panelists will select the top 3 presentations, and the winners will be announced at the end of the session.

As a part of the audience, you can vote for the best presentation since we will add a “People’s Choice Award”.

The 3 winners will be selected based on the following competition rules and awarded exciting prizes in the value of 500$, 300$ and 200$ and “Best 3MT Award” certificates from IEEE GRSS.

Enjoy the competition!

3MT M2GARSS 2022 Finalists

  1. Bahar Asadi
    Application of Deep Learning Method for Crop Mapping based on Sentinel-1 and 2 Data Fusion in Ardabil Province in Iran
    Tarbiat Modares University, Iran
  2. Şaziye Özge Atik
    Developing a Deep Learning-Based Land Use and Land Cover Mapping Model Using Remote Sensing Data
    Istanbul Technical University, Turkey
  3. Burak Ekim
    Land Cover and Land Use Classification of Multi-Modal High-Resolution Satellite Images Using Multi-Task Deep Learning Approach
    Istanbul Technical University, Turkey and Bundeswehr University Munich, Germany
  4. Edanur Firat
    An Investigation of the Relationships between Sugar Beet Yield and Biophysical Vegetation Indices Obtained from Multispectral Images
    Ege University, Turkey
  5. Kishor Chandra Kandpal
    Onsite Age Discrimination of Medicinal Plant Species using Hyperspectral Remote Sensing and Machine Learning Techniques
    CSIR-Institute of Himalayan Bioresource Technology, Palampur, India
  6. Fuat Kaya
    Machine Learning and Remote Sensing for Digital Soil Mapping
    Isparta University of Applied Sciences, Turkey
  7. Mehdi Khoshboresh-Masouleh
    Building Panoptic Change Segmentation
    University of Tehran, Iran
  8. Sabastian Simbarashe Mukonza
    Water Quality/Satellite Observations/Artificial Intelligence
    National Pingtung University of Science & Technology, Taiwan
  9. Mira Shivani Sankar
    Renovate and Revolutionize: How to reduce UHI effect
    Center for Wireless Network & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India
  10. Belkis Asma Semcheddine
    Very High Resolution, Multi-spectral Remote Sensing Image Classification
    University M'hamed Bougara Boumerdes, Algeria
Track: Events