Kollaborationsprojekte zwischen Studierenden und Unternehmen

Technical Report: AmiNIC Breathalyzer

Arthur Blaser, Arune Lapinskaite, Boris Kacer, Cadence Andersen, Carlos Moyá Gual, Lucas Weber, Oskar Skoczylas, Richard Jenis, Tobias Schult, 2022.

Zum Download: Breathalyzer Final Report.pdf

 

Technical Report: Sortena

Abdallah Abdel Qader, Alberto Miro, Christina Joy Moses, Judith Andrea Kröll, Paul-Ioan Maghiari, Povilas Janusauskas, Rolandas Kraujelis, Ronan Machado, Sharva Yatin Nemane, 2022.

Zum Download: Sortena Final Report.pdf

 

Technical Report: Anti-Collision System for LINAK HOMELINE

Ioannis Andromidas, Maram Daood, Anina Hasse, Maria Lunau, Dennis Riess, Erik Winkler, Esben Sørensen, Horia-George Iotu, Magnus Christesen, Mohammed Mohammed, Nicklas Lyck & Pablo Paniagua, 2021.

Zum Download: Anti-Collision System Final Report.pdf

 

Surface Modification Enabling Reproducible Cantilever Functionalization for Industrial Gas Sensors

Daniel Mamou, Lawrence Nsubuga, Tatiana Lisboa Marcondes, Simon Overgaard Høegh, Jeanette Hvam, Florian Niekiel, Fabian Lofink, Horst-Günter Rubahn and Roana de Oliveira Hansen, Sensors 2021, 21, 6041. https://doi.org/10.3390/s21186041

 

Bio-acceptable 0D and 1D ZnO nanustructures for cancer diagnosis and treatment

Brandon Ortiz-Casas, Andrés Galdámez-Martínez, Jorge Gutiérrez-Flores, Andrés Baca Ibañez, Pritam Kumar Panda, Guillermo Santana, Horacio Astudillode la Vega, Mrutyunjay Suar, Citlaly Gutiérrez Rodelo, Ajeet Kaushik, Yogendra Kumar Mishra, Ateet Dutt, Materials Today 2021 https://doi.org/10.1016/j.mattod.2021.07.025

 

Nanoclay Reinforced Biomaterials for Mending Musculoskeletal Tissue Disorders

Itsasne Erezuma, Tatiane Eufrasio-da-Silva, Nasim Golafshan, Kaivalya Deo, Yogendra Kumar Mishra, Miguel Castilho, Akhilesh K. Gaharwar, Sander Leeuwenburgh, Alireza Dolatshahi-Pirouz, Gorka Orive. Advanced Helthcare Materials 2021. doi: https://doi.org/10.1002/adhm.202100217

 

Functionalized Surfaces as a Tool for Virus Sensing: A Demonstration of Human mastadenovirus Detection in Environmental Water

Juliana Schons Gularte, Roana de Oliveira Hansen, Meriane Demoliner, Jacek Fiutowski, Ana Karolina Antunes Eisen, Fagner Henrique Heldt, Paula Rodrigues de Almeida, Daniela Müller de Quevedo, Horst-Günter Rubahn, Fernando Rosado Spilki. Chemosensors 2021, 9(2), 19,

doi: https://doi.org/10.3390/chemosensors9020019

 

Revisiting the optical dispersion of aluminium-doped zinc oxide: New perspectives for plasmonics and metamaterials

Alireza Shabani*, Mehdi Khazaei Nezhad, Neda Rahmani, Yogendra Kumar Mishra, Biplab Sanyal and Jost Adam. Advanced Photonics Research 2020 https://doi.org/10.1002/adpr.202000086

 

 

Vorhersagemodell zur Identifizierung von übermäßigem Alkoholkonsum

Deep Neural Network to Identify Patients with Alcohol Use Disorder

Ali Ebrahimi, Uffe Kock Wiil, Marjan Mansourvar, Amin Naemi, Kjeld Andersen, Anette Søgaard Nielsen. Studies in Health Technology and Informatics, Vol. 281, pp 238-242, 2021. doi: https://doi.org/10.3233/SHTI210156

 

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review

A. Ebrahimi et al., "Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review," in IEEE Access, vol. 9, pp. 151697-151712, 2021, doi: 10.1109/ACCESS.2021.3126777.

 

Analysis of Comorbidities of Alcohol Use Disorder

A. Ebrahimi, U. K. Wiil, M. Mansourvar, A. Naemi, K. Andersen and A. S. Nielsen, "Analysis of Comorbidities of Alcohol Use Disorder," 2021 IEEE Symposium on Computers and Communications (ISCC), 2021, pp. 1-7, doi: 10.1109/ISCC53001.2021.9631512

 

A Predictive Machine Learning Model to Determine Alcohol Use Disorder

A. Ebrahimi, U. K. Wiil, K. Andersen, M. Mansourvar and A. S. Nielsen, 2020 IEEE Symposium on Computers and Communications
(ISCC), Rennes, France, 2020, pp. 1-7, doi: 10.1109/ISCC50000.2020.9219685.

 

The Prediction of Alcohol Use Disorder: A Scoping Review

A. Ebrahimi, A. S. Nielsen, U. K. Wiil and M. Mansourvar, 2019 IEEE Symposium on Computers and Communications
(ISCC), Barcelona, Spain, 2019, pp. 1062-1067, doi: 10.1109/ISCC47284.2019.8969764.

 

Video zum Piloten "Clinical decision support based on health records"

Das Video zeigt die Möglichkeiten des maschinellen Lernens, die Bedeutung der Analyse von Patientenjournalen und nicht zuletzt die Vorteile der interdisziplinären Zusammenarbeit.

 

Video auf Deutsch

Video auf Dänisch

Video auf Englisch