YOU ARE ALL WELCOMEvia Google Meet at the following link: https://meet.google.com/ger-
The final program of the 13th Cyprus Workhshop on Signal Processing and Informatics - can be downloaded from here.
Technical Program
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TIME |
SESSIONS |
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18:45 |
Introductions |
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18:55-19:00 |
Welcome Andreas Spanias Arizona State University, USA |
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SESSION 1: IoT and Sensing Andreas Spanias Arizona State University, USA |
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19:00-19:10 |
Energy Efficient Reuse of Mobile Nodes for Congestion Control in Wireless Sensor Networks Natalie Temene, Charalampos Sergiou, chryssis Georgiou, Vasos Vasiliou Department of Computer Science, University of Cyprus, Nicosia, Cyprus |
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19:10-19:20 |
Sensor Synchronization for Android Spatial Applications Andreas Spanias1 1Maria Christofi, 2,3George Plastiras, 2,3Rafaella Elia, 2Vaggelis Tsiourtis, 2,3Theocharis Theocharides, 1Miltiadis Katsaros 1National Technical University of Athens, Athens, Greece 2University of Cyprus, Nicosia, Cyprus 3KIOS Research and Innovation Centre of Excellence, Nicosia, Cyprus |
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19:20-19:30 |
The Navarchos Fleet Management Platform I.Constantinou1, C. Constantinou1, P. Gouvas2, T. Bouras2 1Istognosis Ltd Cyprus, 2UBITECH Limited Cyprus |
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SESSION 2: Machine Learning and Signal Processing Chair: Marios Neofytou 3AeHealth LTD |
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19:30-19:40 |
Machine Learning based MEMS Sensor Calibration Gowtham Muniraju, Andreas Spanias, SenSIP Center, ECEE, ASU |
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19:40-19:50 |
Unsupervised Audio Source Separation using Generative Priors Vivek Narayanaswamy1, Jayaraman, Thiagarajan2, Rushil Anirudh2, Andreas Spanias1 1SenSIP Center, ASU, 2Lawrence Livermore National Labs |
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19:50-20:00 |
Graph Representation Learning using Deep Neural Networks Uday Shankar1, Jayaraman Thiagarajan2, Andreas Spanias1 1SenSIP Center, ASU, 2Lawrence Livermore National Labs |
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SESSION 3: Computer Vision Chair: Andreas Panayides University of Cyprus |
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20:00-20:10 |
Cognitive Swarm of UAVs for Search and Rescue Guillaume Voirin, Loizos Michael Open University of Cyprus & Research Center on Interactive Media, Smart Systems, and Emerging Technologies |
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20:10-20:20 |
Detecting Obstacles for Pedestrians’ Safety Marios Thoma1, Zenonas Theodosiou1, Harris Partaourides1, Charalambos Tylliros1, Demetris Antoniades1, Andreas Lanitis1,2 1RISE, Nicosia, Cyprus, 2Cyprus University of Technology, Limassol, Cyprus |
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20:20-20:30 |
Machine Learning Methods for PV Array Soilage Detection on the Cyprus Solar Dataset Kristen Jaskie1 and Joshua Martin1, Yiannis Tofis2 Andreas Spanias1 1SenSIP Center, ECEE, ASU, 2KIOS Center, University of Cyprus |
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20:30-20:40 |
Cloud Segmentation and Movement Prediction Sameeksha Katoch, Pavan Turaga, Cihan Tepedelenlioglu, Andreas Spanias SenSIP Center, ECEE, ASU |
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SESSION 4: Medical Imaging Chair: Efthyvoulos Kyriacou Frederick University |
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20:40-20:50 |
Detection of Breast Cancer with Mammography: Use of temporal subtraction of sequential mammograms Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou and Costas Pitris KIOS, University of Cyprus |
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20:50-21:00 |
Machine Learning Techniques Comparison for Classification of Barret’s and Dysplasia from In Vivo Esophagus Optical Coherence Tomography Images Christos Photiou1, George Plastiras1, Guillermo Tearney2, Costas Pitris1 1KIOS Center of Excellence for Intelligent System and Networks, Dept. of Electrical and Computer Engineering, University of Cyprus, 2Massachusetts General Hospital and Harvard medical school 55 Fruit Street, Boston, USA |
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SESSION 5: PhD Presentations – 5 min. (2 to 3 slides) Costas Pitris University of Cyprus |
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21:00-21:05 |
Extracting Explainable Assessments of Alzheimer’s disease via Machine Learning on brain MRI imaging data Kleo Achilleos, Nicoletta Prentza, Antonis C. Kakas, Constantinos S. Pattichis Department of Computer Science, University of Cyprus, Nicosia, Cyprus |
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21:05-21:10 |
Argumentation-based framework for Explainable Machine Learning (ARGEML) Nicoletta Prentzas, Antonis Kakas, Constantinos S. Pattichis Department of Computer Science, University of Cyprus |
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21:10-21:15 |
A Review of Brain MRI Multiple Sclerosis Disease Image Analysis Studies Andria Nicolaou, Department of Computer Science, University of Cyprus, Nicosia, Cyprus |
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21:15-21:20 |
Intelligent Virtual Reality Systems for pain management in cancer patients Melpo Pittara Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligent, University of Groningen, Department of Computer Science, University of Cyprus |
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SESSION 6: Elevator Speech Presentations – 2 min (1 to 2 slides) Constantinos S. Pattichis University of Cyprus |
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21:20-21:23 |
AI for Power Converters Mohit Malu, Andreas Spanias and Gautam Dasarathy ECEE, SenSIP, ASU |
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21:23-21:26 |
RET Project: Solar Fault Detection and Classification using Machine Learning Milton Johnson Bioscience High School, Phoenix Advisors: Kristen Jaskie and Andreas Spanias, ECEE, SenSIP, ASU |
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21:26-21:29 |
Fault Classification in PV Arrays using Pruned Neural Networks Sunil Rao, Cihan Tepedelenlioglu and Andreas Spanias SenSIP, ECEE, ASU |
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21:29-21:32 |
Using Machine Learning and Audio Spectral Features For COVID-19 Testing Michael Esposito Advisors: Sunil Rao, Vivek Narayanaswami and Andreas Spanias ECEE, SenSIP, ASU |
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21:32-21:35 |
Semi-Supervised Classification via Graph Filtering Jie Fan, Cihan Tepedelenlioglu and Andreas Spanias SenSIP Center, ECEE, ASU |
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21:35-21:38 |
Space-Based Computational Imaging Systems Drika Iqbal, Suren Jayasuriya, Andreas Spanias ASU ECEE, SenSIP |
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21:38-22:00 |
CLOSING REMARKS |