Industrial Research Fund at Tampere University of Technology awarded grants for successful studies
Established in 2020, the Huawei Fund supports research and teaching in the field of Computing and Electronic Engineering at Tampere University through scholarships and grants. The fund awarded grants for Doctoral Researchers and the authors of the best Bachelor’s theses on Hervanta campus on Friday 27 January 2023.
Huawei Best PhD Thesis Paper Award for Doctoral Researchers
The awarded sum for Doctoral Researchers is €1.000. It was awarded to ten doctoral students in the field for high quality research and publication.
- Laura Flueratory: High-Accuracy Ranging and Localization with Ultrawideband Communications for Energy-Constrained Devices
- Sahan Damith Liyanaarachchi: Optimized Waveforms for 5G−6G Communication with Sensing: Theory, Simulations and Experiments
- Vladimir Iashin: Taming Visually Guided Sound Generation
- Einari Vaaras: Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit
- Nachiket Ayir: Waveforms and End-to-End Efficiency in RF Wireless Power Transfer Using Digital Radio Transmitter
- Kateryna Chumachenko: Speed-up and multi-view extensions to subclass discriminant analysis
- Wenzhu Xing: End-to-End Learning for Joint Image Demosaicing
- Salwa Saafi: Cellular Connectivity and Wearable Technology Enablers for Industrial Mid-End Applications
- Ugur Akpinar: Learning Wavefront Coding for Extended Depth of Field Imaging
- Daniel Krause: Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
Huawei Best Bachelor’s Thesis Award
The award was granted for 14 students. The awarded sum is €500.
- Heiskanen Santeri: Intermediate goal generation for off-policy reinforcement learning methods
- Holkko Tatu: Single exposure multilaser phase microscopy: Simultaneous recording of two images with different wavelengths
- Johansson Satu: Q-funktion minimax-approksimointi eksponenttisummalla
- Kivikangas Marko: Estimating three-dimensional motion using IMU sensors
- Koskelainen Olli: Hardware and Software Implementation
- Lauttia Tuomas: Adaptive Monte Carlo Localization in ROS
- Melander Ville: Differentiable Camera Model for Learning-Based Optimizations
- Syvänen Aapo: Sentiment Analysis Performed on Forum Discussions Using RNNs
- Ylikoski Juha: Dead Reckoning with IMU Sensors
- Hietamäki Leevi: Machine Learning for Snapshot Hyperspectral Camera
- Kallio Veera: Video-Based Scene Classification Using Pretrained Neural Networks
- Lignell Anni: Living in a line world: How life would be in a world where we could merely perceive edges
- Niemirepo Teo: Camera localization and 3D surface reconstruction on low-power embedded devices
- Mäkipää Antti-Jussi: Forecasting Emergency Department arrivals with Facebook Prophet library
According to Joni Kämäräinen, Professor at the Faculty of Information Technology and Communication Sciences, the quality of both Bachelor’s theses and scientific publications is excellent once again:
“The students have tested and developed very recent methods in their Bachelor’s theses, and many of them are of the same quality as scientific research. The quality and quantity of the work shows that Tampere University succeeds in attracting top students to study engineering,” Kämäräinen says.
“Articles written by Doctoral Researchers have also been republished in the best forums in their respective fields,” Kämäräinen adds. “The Massachusetts Institute of Technology and ETH Zürich, the main bodies in engineering research, publish their research results in these same forums,” he notes. “Finnish engineering research is strong in the Pirkanmaa region. Local companies will benefit from it by having skilled labour in their research and product development departments,” he mentions.
The Industrial Research Fund at Tampere University of Technology sr supports research and other activities in engineering and architecture at Tampere University. The Fund fulfils its purpose by, for example, awarding grants and scholarships. The main sources of income for the Fund are donations and bequests.
More information:
Executive Director Mira Toroi, telephone +358 40 553 2344
tekniikantukisaatio [at] tuni.fi (tekniikantukisaatio[at]tuni[dot]fi)
