TIME

SESSIONS

18:45

Introductions

18:55-19:00

Welcome

Andreas Spanias

Arizona State University, USA

SESSION 1: IoT and Sensing

Andreas Spanias

Arizona State University, USA

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

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

19:20-19:30

The Navarchos Fleet Management Platform

I.Constantinou¹, C. Constantinou¹, P. Gouvas², T. Bouras²

¹Istognosis Ltd Cyprus, ²UBITECH Limited Cyprus

SESSION 2: Machine Learning and Signal Processing

Chair: Marios Neofytou

3AeHealth LTD

19:30-19:40

Machine Learning based MEMS Sensor Calibration

Gowtham Muniraju, Andreas Spanias,

SenSIP Center, ECEE, ASU

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

19:50-20:00

Graph Representation Learning using Deep Neural Networks

Uday Shankar¹, Jayaraman Thiagarajan², Andreas Spanias¹

¹SenSIP Center, ASU, ²Lawrence Livermore National Labs

SESSION 3: Computer Vision

Chair: Andreas Panayides

University of Cyprus

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

20:10-20:20

Detecting Obstacles for Pedestrians’ Safety

Marios Thoma¹, Zenonas Theodosiou¹, Harris Partaourides¹, Charalambos Tylliros¹, Demetris Antoniades¹, Andreas Lanitis^1,2

¹RISE, Nicosia, Cyprus, ²Cyprus University of Technology, Limassol, Cyprus

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

20:30-20:40

Cloud Segmentation and Movement Prediction

Sameeksha Katoch, Pavan Turaga, Cihan Tepedelenlioglu, Andreas Spanias

SenSIP Center, ECEE, ASU

SESSION 4: Medical Imaging

Chair: Efthyvoulos Kyriacou

Frederick University

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

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

SESSION 5: PhD Presentations – 5 min. (2 to 3 slides)

Costas Pitris

University of Cyprus

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

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

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

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

SESSION 6: Elevator Speech Presentations – 2 min (1 to 2 slides)

Constantinos S. Pattichis

University of Cyprus

21:20-21:23

AI for Power Converters

Mohit Malu, Andreas Spanias and Gautam Dasarathy

ECEE, SenSIP, ASU

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

21:26-21:29

Fault Classification in PV Arrays using Pruned Neural Networks

Sunil Rao, Cihan Tepedelenlioglu and Andreas Spanias

SenSIP, ECEE, ASU

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

21:32-21:35

Semi-Supervised Classification via Graph Filtering

Jie Fan, Cihan Tepedelenlioglu and Andreas Spanias

SenSIP Center, ECEE, ASU

21:35-21:38

Space-Based Computational Imaging Systems

Drika Iqbal, Suren Jayasuriya, Andreas Spanias

ASU ECEE, SenSIP

21:38-22:00

CLOSING REMARKS