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--- about:personnel:jenni_raitoharju [2021/03/08 13:52]
sally.johnson
+++ about:personnel:jenni_raitoharju [2021/06/16 09:03] (current)
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@@ Line 1: / Line 1: @@
 **<fs x-large>Jenni Raitoharju, Ph.D.</fs>**
-{{:personnel:jenni_raitoharju.jpg?200 |}}
+{{:personnel:jenni_raitoharju.jpg?300|}}
+//Postdoctoral Researcher Fellow - Tampere University | Senior Research Scientist - Finnish Environment Institute | Chair - Young Academy Finland//\\
+====Contact Information====
-**<fs large>Contact Information</fs>**\\
 **Phone:** +358 50 447 8418\\
 **Email:** [[jenni.raitoharju@tut.fi]]\\
 **Website:** https://tutcris.tut.fi/portal/en/persons/jenni-raitoharju\\
-**<fs large>Education</fs>**\\
+====Education====
-Doctor of Science (Technology) | Information Technology | Tampere University\\
-Master of Science (Technology) | Information Technology | Tampere University\\
+  * Doctor of Science (Technology) | Information Technology | Tampere University | 2017\\
-\\
+  * Master of Science (Technology) | Information Technology | Tampere University\\
-\\
-\\
-//**Title:** Postdoctoral Researcher, Signal\\ Processing; Member of Research\\ Group: Multimedia Research Group,\\ Tampere University//
 ====Biography====
-Postdoctoral researcher.
+  * Sep 2019 - Present | Finnish Environment Institute | Senior Research Scientist\\
+  * 2019 - Present | Young Academy Finland | Chair\\
+  * Mar 2017 - Present | Tampere University | Postdoctoral Research Fellow\\
 ====Investigated Projects (Co-PI)====
-[[projects:year9:9a.009.tau|Advanced Machine Learning for Industrial Application – Partially Supporting Measures Against COVID19 – 9a.009.TAU]]\\
+  * [[projects:year10:10a.002.tau_wp5|10a.002.TAU_WP5 - Confidence Estimation in Neural Network for Illumination Estimation]]\\
-[[projects:year9:9a.008.ul|Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL]]\\
+  * [[projects:year10:10a.002.tau_wp4|10a.002.TAU_WP4 - Computationally Efficient Graph-Embedded Subspace-Learning Methods]]\\
-[[projects:year8:8a.014.tau|Advanced Machine Learning for Industrial Applications (AMaLIA-2) 8a.014.TAU]]\\
+  * [[projects:year9:9a.009.tau|Advanced Machine Learning for Industrial Application – Partially Supporting Measures Against COVID19 – 9a.009.TAU]]\\
-[[projects:year7:7a.028.tut|Co-Botics – Intelligent Cooperating Robots and Humans – Phase II 7a.028.TUT]]\\
+  * [[projects:year9:9a.008.ul|Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL]]\\
-[[projects:year7:7a.025.tut|Multimodal Data Integration in Intelligent Buildings 7a.025.TUT]]\\
+  * [[projects:year8:8a.014.tau|Advanced Machine Learning for Industrial Applications (AMaLIA-2) 8a.014.TAU]]\\
-[[projects:year7:7a.024.tut|Real-time Data Analytics Using Edge Computing Infrastructure with Application for Smart City 7a.024.TUT]]\\
+  * [[projects:year7:7a.028.tut|Co-Botics – Intelligent Cooperating Robots and Humans – Phase II 7a.028.TUT]]\\
-[[projects:year7:7a.022.tut|Unsupervised Color Constancy using Adversarial Learning 7a.022.TUT]]\\
+  * [[projects:year7:7a.025.tut|Multimodal Data Integration in Intelligent Buildings 7a.025.TUT]]\\
-[[projects:year6:6a.008.tut|Co-botics: Intelligent Cooperating Robots & Humans 6a.008.TUT\]]\
+  * [[projects:year7:7a.024.tut|Real-time Data Analytics Using Edge Computing Infrastructure with Application for Smart City 7a.024.TUT]]\\
-[[projects:year6:6a.006.tut|Learning (Scene and Object Recognition) from Few Examples 6a.006.TUT]]\\
+  * [[projects:year7:7a.022.tut|Unsupervised Color Constancy using Adversarial Learning 7a.022.TUT]]\\
-[[projects:year6:6a.001.tut|Automatic Face Completion and Restoration 6a.001.TUT]]\\
+  * [[projects:year6:6a.008.tut|Co-botics: Intelligent Cooperating Robots & Humans 6a.008.TUT]]\\
+  * [[projects:year6:6a.006.tut|Learning (Scene and Object Recognition) from Few Examples 6a.006.TUT]]\\
+  * [[projects:year6:6a.001.tut|Automatic Face Completion and Restoration 6a.001.TUT]]\\

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