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
- 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
- Şaziye Özge Atik
Developing a Deep Learning-Based Land Use and Land Cover Mapping Model Using Remote Sensing Data
Istanbul Technical University, Turkey
- 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
- Edanur Firat
An Investigation of the Relationships between Sugar Beet Yield and Biophysical Vegetation Indices Obtained from Multispectral Images
Ege University, Turkey
- 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
- Fuat Kaya
Machine Learning and Remote Sensing for Digital Soil Mapping
Isparta University of Applied Sciences, Turkey
- Mehdi Khoshboresh-Masouleh
Building Panoptic Change Segmentation
University of Tehran, Iran
- Sabastian Simbarashe Mukonza
Water Quality/Satellite Observations/Artificial Intelligence
National Pingtung University of Science & Technology, Taiwan
- Mira Shivani Sankar
Renovate and Revolutionize: How to reduce UHI effect
Center for Wireless Network & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India
- Belkis Asma Semcheddine
Very High Resolution, Multi-spectral Remote Sensing Image Classification
University M'hamed Bougara Boumerdes, Algeria
