News ...

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D S P 2 0 2 5

25th International Conference on Digital Signal Processing

25-27 June 2025, Costa Navarino, Messinia, Greece

https://2025.ic-dsp.org/

Theme: "Deepfake Signals, Images and Videos".

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IMPORTANT DATES

•    Submission of full papers – Feb 25, 2025
•    Notification of acceptance – Apr 10, 2025
•    Author advance registration – Apr 25, 2025
•    Camera-ready paper submission – May 5, 2025

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The 25th International Conference on Digital Signal Processing (DSP 2025), technically co-sponsored by IEEE(*) Signal Processing Society and EURASIP(*), will be held June 25-27, 2025 in Costa Navarino, Messinia in southwest Peloponnese, Greece. It is the longest in existence Conference in the area of DSP and belongs to a series of events that commenced from London in 1967 and continued to Florence, Nicosia, Limassol, Santorini, Cardiff, Corfu, Hong-Kong, Singapore, Beijing, Shanghai and Rhodes in 2023. It will bring together leading experts from academia and industry to share the most recent and exciting advances in the general area of digital signal processing and analysis.
(*) technical co-sponsorship in progress

DSP 2025 addresses the theory and applications of filtering, coding, transmitting, estimating, detecting, analysing, recognising, synthesising, recording, and reproducing signals by means of digital devices or techniques. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and any other type of signal. This includes primarily those areas listed under all EDICS categories of the IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing. IEEE Transactions on Medical Imaging, IEEE Journal of Selected Topics in Signal Processing, IEEE Open Journal of Signal Processing, IEEE Transactions on Multimedia and IEEE Transactions on Information Forensics and Security.

The program will include presentations on novel research theories / applications / results in lecture, poster and plenary sessions. Special Sessions organised by internationally recognised experts in the area constitute the basis of DSP conferences.

Topics of interest include, but are not limited to:

Artificial Intelligence and Machine Learning in Signal Processing
• Application of AI and ML techniques for signal processing
• Advances in deep learning models for image and video analysis
• Explainable AI in signal and image processing

Biomedical Signal Processing
• Biomedical Signal and Image Processing
• Brain-Computer Interface
• Genomic Signal Processing
• Signal Processing in Genomics and Proteomics

Digital and Multirate Signal Processing
• Adaptive Signal Processing
• Digital and Multirate Signal Processing
• Digital Filter Design and Implementation
• Multidimensional Filters and Transforms
• Multiresolution Signal Processing
• Multiway Signal Processing
• Theory and Applications of Transforms
• Time-Frequency Analysis and Representation
• Statistical Signal Processing

Emerging Technologies in Signal Processing
• Quantum signal processing
• Neuromorphic computing
• Signal processing in AR/VR applications

Human-Computer Interaction
• Gesture and facial expression recognition
• Signal processing for augmented and virtual reality
• Multimodal interfaces combining audio, visual, and haptic signals

Sensor Array and Multichannel Processing
• Array Signal Processing
• Signal Processing for Smart Sensors and Systems
• Compressive Sensing

Signal Processing for Communications
• Geophysical/Radar/Sonar Signal Processing
• MIMO Signal Processing

Signal Processing for Audio/Image/Video
• Audio/Speech/Music Processing & Coding
• Digital Photography
• HDR Imaging
• Image and Multidimensional Signal Processing
• Image/Video Indexing, Search and Retrieval
• Image/Video Compression and Coding Standards
• Image/Video Content Analysis
• Image/Video Processing Techniques
• 3D Image Processing and Applications
• Mobile Imaging and Image Quality
• Real-Time Signal/Image/Video Processing
• Video Surveillance and Transportation Imaging
• Digital Watermarking and Data Hiding

Other Areas and Applications
• Big Data
• Cognitive Signal Processing
• DSP Education
• Nonlinear Signals and Systems
• Information Forensics and Security
• Social Signal Processing & Affective Computing
• Signal and System Modelling
• Signal Processing of Financial Data
• VLSI Architectures and Implementations for DSP

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The language of the Conference is English. Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures, tables, references and one optional 5th page containing references only). IEEE templates for the paper format, and “no show” policy do apply. Authors should indicate one or more of the above listed categories that best describe the topic of the paper, as well as their preference (if any) regarding lecture or poster presentation. Lecture and poster sessions are treated equally in terms of the review process. Submitted papers will be reviewed by a minimum of two independent reviewers using a single-blind peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. In addition to the technical program, a social program will be offered to the participants and their companions. It will provide an opportunity to meet colleagues and friends against a backdrop of outstanding natural beauty and rich cultural heritage in one of the best-known international destinations.

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ORGANISING COMMITTEE

Honorary Chair
Anthony G. Constantinides, UK

General Chair
Athanassios N. Skodras, GR

General Co-Chair
Fredric J. Harris, US

Constantinides Track Chair
Saeid Sanei, UK

Technical Program Chairs
Elias Aboutanios, AU
Irene Amerini, IT
Luis Alberto da Silva Cruz, PT

Plenary Sessions Chair
Enkelejda Kasneci, DE

Special Sessions Chairs
Maria Martini, UK
Adrian Munteanu, BE

Publicity Chair
Eva Gil San Antonio, FR

Publications Chair
Vassilis Fotopoulos, GR

Industrial Liaisons
Ioannis Katsavounidis, US 
George A. Lampropoulos, CA 
Mahsa Pourazad, CA
Andrea De Polo Saibanti, IT

Int. Program Committee
Mauro Barni, IT
Jan Cornelis, BE
Marek Domanski, PL
Tariq S. Durrani, UK
Touradj Ebrahimi, CH
George B. Giannakis, US
Gjergji Kasneci, DE
Aggelos K. Katsaggelos, US 
Kin K. Leung, UK
Patrick Naylor, UK 
Konstantinos N. Plataniotis, CA 
Wan-Chi Siu, HK
Tieniu Tan, CN
Andreas Uhl, AT
Abdelhak M. Zoubir, DE
    
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IMPORTANT DATES

•    Submission of full papers – Feb 25, 2025
•    Notification of acceptance – Apr 10, 2025
•    Author advance registration – Apr 25, 2025
•    Camera-ready paper submission – May 5, 2025

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Opportunity for a doctoral student (PhD student) to join a fascinating project titled "Streaming of Holographic Content and its Impact on the Quality of Experience".

The application deadline is 11th of September 2024.

For additional details, please visit: https://multimediacommunication.blogspot.com/2024/08/university-assistant-predoctoral-all.html (where you can also find information on how to apply).

Univ.-Prof. DI Dr. Christian Timmerer

Multimedia Systems, Alpen-Adria-Universität Klagenfurt, blog.timmerer.com

Director, Institute of Information Technology (ITEC), itec.aau.at

Director, ATHENA Christian Doppler Laboratory, athena.itec.aau.at

CIO | Head of Research and Standardization, Bitmovin, bitmovin.com

T: +43 463 2700 3621 | M: +43 664 88358612 | christian.timmerer@aau.at

At the Audiovisual Technology Group, Institute for Media Technology, Department of Electrical Engineering and Information Technology, Ilmenau Interactive Immersive Technologies Center (I3TC), we are looking to hire 

two full-time

PhD Students (f/m/d)

on the topics

(1) Audiovisual scene analysis and cognitive performance for speech perception in multi-person scenarios in eXtended Reality (XR)

and 

(2) Audiovisual perception, interaction and cognition in real-world and eXtended Reality Environments

each for an initial period of 3 years.

Please note the soon upcoming application deadline Sept. 1st 2024!

The vacancies are funded as part of the DFG priority program AUDICTIVE (www.spp2236-audictive.de). The specific projects will be carried out at TU Ilmenau in collaboration with other high-class university partners in Germany.

For each of the two projects, the results obtained in the 3-year research may contribute to a possible doctoral thesis at TU Ilmenau.

The Audiovisual Technology Group (www.tu-ilmenau.de/mt-avt) at the Institute of Media Technology is a growing international, interdisciplinary university research team working on topics related to auditory, visual and audiovisual technology and perception, AR/VR/MR, multimedia networks, Quality of Experience and HCI. Our work in these areas ranges from fundamental research to applied research in collaboration with industry partners. The AVT group is also part of the newly established I3TC (Ilmenau Interactive Immersive Technologies Center, www.tu-ilmenau.de/i3tc).

Your research and profile (per each PhD position)

(1) Audiovisual scene analysis and cognitive performance for speech perception in multi-person scenarios in eXtended Reality (XR)

Details and application: https://jobundkarriere.tu-ilmenau.de/jobposting/1c27b80dbc4f0e10e6b0e342485e153b9271e0420 

In your research, you will investigate questions of audiovisual perception and cognition in interaction with eXtended Reality (XR) environments. Here, the focus is on audiovisual scene analysis and speech perception in audiovisual scenes with several people and the associated cognitive performance. The aim is to investigate how the acoustic and visual complexity of the scene interacts with human information processing. The project will also analyse how the results may depend on the age group of the test subjects, from children to adults. Key objects of research are the recording (360° video) and design (Unity-based environment and animations) of corresponding audiovisual scenes, and the methods used to analyse human audiovisual perception and cognition. The investigations also provide information on the quality of the XR technology settings used.

Your Profile:

For being part of the selection process is needed:

Completed academic university studies (Master/ Dipl. (Univ.)) in one of the fields of media informatics or media technology, or corresponding engineering or science subjects, such as computer science, neuroinformatics, human-computer interaction or computer linguistics

Practical experience in at least three of the following fields: Audio/video/multimedia technology, digital video signal processing and/or audio signal processing, voice communication, statistical analysis methods, implementation/evaluation of empirical studies.

Very good knowledge in Unity or Unreal Engine is a must, and knowledge in several of the languages or tools: C#, Python, C/C++, R, ffmpeg, Blender.

Very good knowledge of English and German in writing and communication. A very good knowledge of German, as a native speaker or at C1/C2 level, is a prerequisite for this position, as it involves research into cognition in language comprehension in complex audiovisual scenarios, as described

Following competences are desirable:

Interest in interdisciplinary topics at the interface between technology and humans.

Very good communication skills, commitment, enthusiasm, ability to work independently, as well as initiative and ability to work in a team.

Knowledge in areas such as pattern recognition, machine learning or modeling of perception and/or cognition is a plus.

Please provide evidence of the qualifications required for the job by certificates and references.

The position is not suitable for part-time employment.

(2) Audiovisual perception, interaction and cognition in real-world and eXtended Reality Environments

Details and application: https://jobundkarriere.tu-ilmenau.de/jobposting/8f42de052c6dc890c34e93e38d2385678c0339360 

In your research, you will investigate questions of audiovisual perception and cognition in interaction with eXtended Reality (XR) environments. Here, the focus is on the implementation of digital twins of real-world environments and evaluation of interactions in both the real environments and their virtual reality (VR) versions, considering audiovisual perception and cognitive performance. The aim is to investigate how acoustic and visual details as well as modes of interaction of the environments influence human information processing and cognition. Focus of this research is to record (360° video), design and implement (Unity- or Unreal Engine based environment and animations) digital versions of the real environments and corresponding audiovisual scenes, and carry out user studies to analyse human audiovisual perception and cognition. The investigations are expected to provide indirect information about the quality of the eXtended Reality environments.

Your Profile:

For being part of the selection process is needed:

Completed academic university studies (Master/ Dipl. (Univ.)) in one of the fields of media informatics or media technology, or corresponding engineering or science subjects, such as computer science, neuroinformatics, human-computer interaction

Practical experience in at least three of the following fields: Audio/video/multimedia technology, digital video signal processing and/or audio signal processing, computer graphics or game development, implementation/evaluation of empirical studies.

Very good knowledge in Unity or Unreal Engine is a must, and knowledge in several of the languages or tools: C#, Python, C/C++, R, ffmpeg, Blender.

Very good knowledge of English (at least C1). Additional knowledge of the German language when starting the position will be a plus.

Following competences are desirable:

Interest in interdisciplinary topics at the interface between technology and humans.

Very good communication skills, commitment, enthusiasm, ability to work independently, as well as initiative and ability to work in a team.

Knowledge in areas such as pattern recognition, machine learning or modeling of perception and/or cognition is a plus.

Please provide evidence of the qualifications required for the job by certificates and references.

The position is not suitable for part-time employment.

What we offer

comprehensive lab spaces providing various types of equipment (e.g., projection- and HMD-based interactive audiovisual virtual and augmented environments, high-resolution / HDR video, spatial audio - loudspeaker and headphone-based, lab-spaces corresponding to different reference-specifications, systems for behavioural feedback such as head- and eyetracking and open-source user-feedback tools, tools for HCI research; some more information see here) 

attractive remuneration according to collective agreement (as per TV-L) incl. granting of a special annual payment

vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December

flexible working time model

VBL - pension scheme in the public sector

From individual advancement with a wide range of continuing education opportunities to a variety of health and recreational offerings, you can expect an appreciative working environment at a renowned university at TU Ilmenau. In addition to an attractive, family friendly working hour’s model, you will also benefit from advantages such as the use of the dining halls of the Studiendenwerk Thüringen, as well as participation in several attractive sport offers from the university owned sport centrum.

How to apply

For your application, please use the online system available via the above links available for each position.

Please do not hesitate to contact me in case of questions.

Alexander Raake

Univ.-Prof. Dr.-Ing. Alexander Raake
Audiovisual Technology Group
Ilmenau Interactive Immersive Technologies Center (I3TC, Director)
Technische Universität Ilmenau
alexander.raake@tu-ilmenau.de
https://www.tu-ilmenau.de/en/audio-visual-technology/ 
https://www.tu-ilmenau.de/i3tc

https://cchamzas.com/news/phd_call/

November 22, 2023

The Efficient Learning and Planning for Intelligent Systems (ELPIS) Lab invites applications for two fully funded Ph.D. positions starting in Fall 2024.

Lab Focus: The ELPIS Lab has a broad interest in autonomous robotic system capable of reasoning about and interacting with the physical world. The primary goal is to develop agents that are efficient, robust, and capable of learning from real-world interactions. Current research projects focus on the integration of classical planning algorithms and state-of-the-art machine learning techniques, aiming to advance 1) planning efficiency, 2) planning robustness, and 3) planning from visual inputs. The lab concentrates on real-world applications in robotic manipulation, including tasks such as object manipulation, mobile manipulation, and multi-arm manipulation.

What we are looking for: Prospective applicants should have a background in CS, EE, ME, or a related field, and a passion for robotics! Preference will be given to those with relevant research experience, and a significant emphasis is placed on programming and/or hardware skills.

If you are interested: Interested students should submit their applications through the WPI application portal at the Robotics Engineering Department. Applicants are also encouraged to directly contact Dr. Chamzas at cchamzas at wpi dot edu. In the email, please attach your CV, transcript, and a short cover letter describing research interests, and any relevant experience.

Ph.D. in Robotics at WPI: WPI is located in Worcester, Massachusetts. WPI is one of the few places, worldwide, that has a dedicated Robotics Department and students can earn a doctorate in the field. There is a serious emphasis on robotics as well as on creativity and innovation. It also offers one of the most competitive stipends in the U.S. with at least 39.000$ per year.

Prof. Pantelis Georgiou from the Department of Electrical and Electronic Engineering, Centre for Bio-inspired Technology, Imperial College London, UK will deliver a lecture entitled

"Microchip Technology enabling Rapid Diagnostics for Infectious Diseases - From AMR to COVID-19"

on Wednesday 25 Oct 2023 at 11:00 (Athens time).

The event will be held in the Conference Hall of the ECE Department of the University of Patras.

Remote participation will be possible via the link: 

https://upatras-gr.zoom.us/j/97733095454?pwd=UXd4am1qWENxRGRBZGVpRlFaakNwdz09

The lecture will be given in English and is open to all interested.

For more information you can contact Prof. A. Skodras [ skodras at upatras.gr ]

Abstract

In the last decade, we have seen a convergence of microelectronics into the world of healthcare providing novel solutions for early detection, diagnosis and therapy of disease. This has been made possible due to the emergence of CMOS technology, allowing fabrication of advanced systems with complete integration of sensors, instrumentation and processing, enabling design of miniaturised medical devices which operate with low-power. This has been specifically beneficial for the application areas of DNA based diagnostics and full genome sequencing, where the implementation of chemical sensors known as Ion-Sensitive Field Effect Transistors (ISFETs) directly in CMOS has enabled the design of large-scale arrays of millions of sensors that can conduct in-parallel detection of nucleic acids. Furthermore, the scaling of CMOS with Moore’s law and the integration capability with microfluidics has enabled the creation of hand-held and portable rapid diagnostic systems for infectious diseases.

In this talk, I present how my lab is advancing the areas of DNA and RNA detection for rapid diagnostics of infectious diseases and Antimicrobial Resistance (AMR) through the design of CMOS based Lab-on-Chip systems using ISFETs. I will showcase Lacewing, our latest handheld diagnostic system which is able to rapidly identify bacterial and viral infections in under 30 minutes, communicating results in real-time to the cloud for epidemiological surveillance. Results from our latest trials for detection of Malaria and bacterial resistant infections will be shown in addition to our most recent efforts in tackling the COVID-19 outbreak.

Biographical Note

Prof. Pantelis Georgiou received the M.Eng. degree in electrical and electronic engineering and the Ph.D. degree from Imperial College London (ICL), London, U.K., in 2004 and 2008, respectively.
He is currently a Professor of Biomedical Electronics with the Department of Electrical and Electronic Engineering, ICL, where he is also the Head of the Bio- Inspired Metabolic Technology Laboratory, Centre for Bio-Inspired Technology. His research includes bio-inspired circuits and systems, CMOS based Lab-on-Chip technologies, and application of microelectronic technology to create novel medical devices. He has made significant contributions to integrated chemical-sensing systems in CMOS, conducting pioneering work on the development of ISFET sensors, which has enabled applications, such as point-of-care diagnostics and semiconductor genetic sequencing and has also developed the first bio-inspired artificial pancreas for treatment of Type I diabetes using the silicon-beta cell. He received the IET Mike Sergeant Medal of Outstanding Contribution to Engineering in 2013. In 2017, he was also awarded the IEEE Sensors Council Technical Achievement award. He is a member of the IET and serves on the BioCAS and Sensory Systems technical committees of the IEEE CAS Society. He is also on the IEEE Sensors council as a member at large and an IEEE Distinguished Lecturer. He is Co-founder and CEO of ProtonDx, commercialising technologies for rapid diagnostics for infectious diseases.

At DSIP Lab (Digital Signal Processing Laboratory, ECE, University of Patras) we are recording the Electrical Network Frequency (ENF) of Mainland Greece since July 2016. We make all data available for free.

As of April 2023 a new system has been added that makes the ENF measures available in Real-Time, along with the Min, Max, Avarage and Variance of the last 12000 measures. See http://enf4gr.ece.upatras.gr/

The Electrical Network Frequency (ENF) Criterion is a forensic technique used to identify the authenticity of a digital recording. Since the power line signal interferes with all kinds of recordings (telephone, video, biosignals, …), the availability of the ENF signal data for Greece could facilitate the authenticity of a recording, and the time and place that this recording has taken place. This is made possible by comparing the frequency pattern between the background utility hum in the evidence and long-term records of the ENF.

To obtain such a long term record of the ENF fluctuations at national level, we have ported the power line frequency recording system to a Raspberry Pi 3 Model B. This has rendered the whole system small in size, portable, and of low cost. The system captures the power line signal and extracts the ENF signal for mainland Greece, 24/7. The ENF data are uploaded to the cloud for free download by all those who are using the ENF in their research. More info can be found at the followig links:

http://www.ece.upatras.gr/skodras/index.php?id=research

http://dsip.ece.upatras.gr/projects/

Data and code are made available for free download. (http://www.ece.upatras.gr/skodras/index.php?id=research)

Technical University of Denmark

Fully funded PhD position in:

AI based High Quality Image and Video Processing and Coding

https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1564/

Prof. Søren Forchhammer

Head of Coding and Visual Communications

DTU Electro

Technical University of Denmark

Tel: (45) 71 69 80 01

Email: sofo@dtu.dk

Post-doctoral Research Associate - 100% GRANT FUNDED

Delaware State University

https://www.higheredjobs.com/region/details.cfm?JobCode=178344958&Title=Post%2Ddoctoral%20Research%20Associate%20%2D%20100%25%20GRANT%20FUNDED
 

ICR’23: The 2023 International Conference on Innovations in Computing Research, Madrid, Spain, September 4-6, 2023
Indexed by SCOPUS, DBLP, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago, WTI Frankfurt eG, and zbMATH
https://iicser.org/icr23

Workshop Chairs

Eleftheria Katsiri, Democritus University of Thrace, Greece, ekatsiri@ee.duth.gr Theofilos Papadopoulos, Democritus University of Thrace, Greece, thpapad@ee.duth.gr

Workshop Objective

Despite technological advances, even in developed economies, seniors who continue to live at home require, more than anyone else need a friendly and safe smart home environment that is protective during their various activities. Yet the world and much more so the home equipment/tools are not yet prepared for the needs of this segment of the world's population. The evolution of technology and in particular of electronic, electrical, inter-networked devices and systems, combined with modern monitoring, prediction and assistance techniques can make a significant contribution to improving the quality of life of elderlies, so that they can enjoy a greater degree of safety and independence, at least at home. Although there have been important initiatives such as the Energy Performance of Buildings Directive (EPBD) and the Smart Readiness Indicator (SRI) scheme to encourage the integration of smart technologies to enhance buildings energy performance, there are still a number of barriers and gaps related to smart buildings and technologies identified. The main technological barriers are the lack of interoperability of the existing solutions, the lack of standardization and numerous legacy standards at the building side, the security of the solutions.

The aim of this workshop is to support technology innovation in the building sector and create an incentive for the integration of cutting-edge smart technologies in buildings. In this respect, its core objective is to raise awareness of the benefits of smarter building technologies and functionalities and make their added value more tangible for building users, owners, tenants, and smart service providers. Interesting and relevant research includes interoperable and cybersecure-by-design software and hardware solutions fully enabling the three functionalities required for a building to become “smart”: optimization of operation of technical building systems, adaption to the external environment, changing conditions in relation to demands from building occupants.

Call for Papers

The workshop invites submissions with methodology structured amongst, but not restricted to the technical domains of Heating, DHW, Cooling, Ventilation, Lighting, Electricity, Electrical Vehicles, Dynamic Envelopes, and Monitoring & Control. The impact criteria are Energy savings, Maintenance and Fault Prediction, Comfort, Convenience, Information to occupants, Health and wellbeing, Energy Flexibility and Storage, Safety, Sustainability.

Indicative areas for workshop submission are:

• Accessibility to the building information
• Energy & indoor environment performance of buildings
• One-stop, replicable and interoperable solutions
• Advanced edge computers, multi-protocol data gateways
• Smart sensors and actuators for the integrated control of TBS
• Wireless sensor networks and toolkits
• M2M interfaces and multi-protocol
• Low-power communication pro-tools
• Cloud-based middleware providing building services
• IoTs platforms in smart building
• Thermal comfort solutions
• Indoor environmental monitoring using low-cost sensors
• Indoor localization systems
• Daily observation and real-time vital measurements of the elderly
• Optimized physical rehabilitation mechanisms for the elderly in the home
• Robotic assistant
• Energy flexibility solutions
• Indoor risk assessment solutions

Workshop Committee

Eiko Yoneki , University of Cambridge, UK
Dimitris Kalogeras, National Technical University of Athens (NTUA)
Aggelos Bouhouras, University of Western Macedonia, Greece
Levente Czumbil, Technical University of Cluj-Napoca, Romania
Emrullah Fatih Yetkin, Kadir Has University, Turkey

Το Εργαστήριο Ηλεκτρονικής (ELLAB) ενδιαφέρεται για μια αμειβόμενη θέση ερευνητή στα πλαίσια του ερευνητικού έργου DeepSky (ΕΔΚ Β’ ΚΥΚΛΟΣ).

➢  Το έργο DeepSky (https://deepsky-project.com/index.php/en/) βασίζεται στην ταυτόχρονη χρήση και ανάλυση δεδομένων από κάμερες στο ορατό και το θερμικό υπέρυθρο, με αποτέλεσμα την ταυτόχρονη εκτίμηση πολλών γεωφυσικών παραμέτρων (ηλιακή ακτινοβολία, ποσοστό και είδος νέφωσης, οπτικές ιδιότητες νεφών και αιωρούμενων σωματιδίων κ.α.). Έτσι, θα συνδυαστούν οι πληροφορίες των εικόνων, οι εκτιμήσεις από μοντέλα διάδοσης της ακτινοβολίας αλλά και οι τεχνικές υπολογιστικής όρασης και βαθείας εκμάθησης για την εκτίμηση γεωφυσικών μεταβλητών, τόσο για την ημέρα όσο και για τη νύχτα.

➢  Το Εργαστήριο Ηλεκτρονικής (ELLAB) στο έργο ασχολείται με την ανάπτυξη του λογισμικού βαθείας εκμάθησης και υπολογιστικής όρασης για την ανάλυση των νεφών και των χαρακτηριστικών τους με χρήση εικόνων στο ορατό και το μακρινό υπέρυθρο.

▪ Θέμα: Ανάπτυξη αλγορίθμων βαθείας μηχανικής εκμάθησης (Deep Learning – CNN) για ταξινόμηση και τμηματοποίηση εικόνας στο πρόβλημα της αναγνώρισης τύπου νεφών (cloud type classification and cloud segmentation with Deep Convolutional Neural Networks using visible and thermal cameras).

➢ Χρήση εικόνων από κάμερες στο ορατό και στο υπέρυθρο φάσμα.
➢ Δημιουργία βάσης δεδομένων με annotated εικόνες με βάση τον τύπο νεφους
➢ Εκπαίδευση μοντέλων βαθέων συνελικτικών νευρωνικών δικτύων (CNN)
➢ Συγγραφή επιστημονικών εργασιών με τα αποτελέσματα των παραπάνω μεθόδων

▪ Κύριος στόχος: Εκπαίδευση μοντέλων βαθέων συνελικτικών νευρωνικών δικτύων και δημιουργία βάσης δεδομένων για την αναγνώριση ή/και τμηματοποίηση του τύπου των νεφών από all-sky- view fisheye κάμερα στο ορατό φάσμα αλλά και από θερμική wide-angle κάμερα. Οι κάμερες αυτές είναι σεταρισμένες και λειτουργούν ήδη λαμβάνοντας εικόνες ενώ το βασικό τμήμα της βάσης δεδομένων έχει δημιουργηθεί στο ορατό. Επίσης, έχουν εκπαιδευτεί CNNs στο classification πρόβλημα.

Επόμενοι στόχοι: Επίλυση προβλήματος τμηματοποίησης εικόνας για την αναγνώρισης τύπου νεφών (cloud segmentatio using CNN), Χρήση αναπαραστάσεων από θερμικές κάμερες για το πρόβλημα αναγνώρισης τύπου νεφών. Δημιουργία βάσης δεδομένων με επιπρόσθετες πληροφορίας πέραν της εικόνας (π.χ. θερμοκρασία, υγρασία, θερμική εικόνα, κτλ) για χρήση στην εκπαίδευση CNN. Συγγραφή τουλάχιστον 3 εργασιών σε περιοδικά ή συνέδρια.

Προϋποθέσεις:
• Υποψήφιος Διδάκτορας ή Μεταδιδάκτορας με αντικείμενο σχετικό με την επεξεργασία σήματος και εικόνας (ενδεικτικά αναφέρονται η ειδικότητα Μηχανικού Η/Υ και εξειδίκευση στην επιστήμη των Η/Υ ή η ειδικότητα Φυσικού και εξειδίκευση στην Ηλεκτρονική).

• Γνώσεις λειτουργίας βαθέων συνελικτικών νευρωνικών δικτύων και ανάπτυξης λογισμικού βαθείας εκμάθησης (σε matlab ή Pytorch ή Tensorflow), δηλαδή υλοποίηση δικτύων για image classification και segmentation.

• Εμπειρία στη συγγραφή επιστημονικών εργασιών (papers).

▪  Η διάρκεια της σύμβασης θα είναι περίπου 9 μήνες (μέχρι 15/10/2023) και οι μηνιαίες απολαβές θα είναι 1000 Ευρώ υπό μορφή χορήγησης υποτροφίας από τον ΕΛΚΕ Πανεπιστημίου Πατρών είτε με μπλοκάκι με αντίστοιχη καθαρή αμοιβή και μπορεί να ξεκινήσει άμεσα βγάζοντας την προκήρυξη της θέσης.

▪  Η δουλειά μπορεί να γίνεται και εξ αποστάσεως, με remote πρόσβαση στα υπολογιστικά συστήματα (PC with GPUs for deep learning) του Εργαστηρίου Ηλεκτρονικής.

▪  Ο ερευνητής θα συνεργάζεται με έναν Μεταδιδάκτορα και έναν Υποψήφιο Διδάκτορα του Εργαστηρίου Ηλεκτρονικής που ήδη απασχολούνται στο έργο υπό την επίβλεψη του καθηγητή κ. Γ. Οικονόμου.

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Το Εργαστήριο Ηλεκτρονικής (ELLAB), με επιστημονικό υπεύθυνο τον κ. Οικονόμου, συμμετέχει στο ερευνητικό έργο

με τίτλο:
ΑΝΆΠΤΥΞΗ ΕΝΌΣ ΚΑΙΝΟΤΟΜΟΥ ΚΑΙ ΕΥΈΛΙΚΤΟΥ ΣΥΣΤΉΜΑΤΟΣ ΕΠΊΓΕΙΩΝ ΜΕΤΕΩΡΟΛΟΓΙΚΩΝ, ΑΤΜΟΣΦΑΙΡΙΚΩΝ ΚΑΙ ΗΛΙΑΚΩΝ ΜΕΤΡΉΣΕΩΝ ΜΕ ΤΗ ΣΥΝΕΡΓΕΙΑ ΦΥΣΙΚΩΝ ΜΟΝΤΕΛΩΝ ΚΑΙ ΜΕΘΟΔΩΝ ΥΠΟΛΟΓΙΣΤΙΚΗΣ ΟΡΑΣΗΣ ΚΑΙ ΒΑΘΙΑΣ ΜΑΘΗΣΗΣ, DEEPSKY.

(https://deepsky-project.com/index.php/en/)

που χρηματοδοτείται στο πλαίσιο της δράσης: «ΕΡΕΥΝΩ-ΔΗΜΙΟΥΡΓΩ-ΚΑΙΝΟΤΟΜΩ Β’ ΚΥΚΛΟΣ» και στο οποίο συμμετέχουν ακόμα το Εργαστήριο Φυσικής της Ατμόσφαιρας του τμήματος Φυσικής Πανεπιστημίου Πατρών (https://www.atmosphere-upatras.gr/) και η εταιρία Irida Labs (https://iridalabs.com/).

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DSP 2023

24th International Conference on Digital Signal Processing

11-13 June 2023, Island of Rhodes, Greece

https://2023.ic-dsp.org/

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IMPORTANT DATES

•    Submission of full papers – March 11, 2023
•    Notification of acceptance – April 11, 2023
•    Author advance registration – April 22, 2023
•    Camera-ready paper submission – May 11, 2023

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The 24th International Conference on Digital Signal Processing (DSP 2023) will be held in June 11-13, 2023 on the island of Rhodes, Greece. It is the longest in existence Conference in the area of DSP and belongs to a series of events that commenced from London in 1967 and continued to Florence, Nicosia, Limassol, Santorini, Cardiff, Corfu, Hong-Kong, Singapore, Beijing, and Shanghai. It returns back to Greece after ten years; DSP 2013 took place on Santorini island. It will bring together leading experts from academia and industry to share the most recent and exciting advances in the general area of digital signal processing and analysis.

DSP 2023 addresses the theory and application of filtering, coding, transmitting, estimating, detecting, analysing, recognising, synthesising, recording, and reproducing signals by means of digital devices or techniques. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and any other type of signal. This includes primarily those areas listed under all EDICS categories of the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing.

The program will include presentations of novel research theories / applications / results in lecture, poster and plenary sessions. Special Sessions organised by internationally recognised experts in the area constitute the basis of DSP conferences

Topics of interest include, but are not limited to:

Biomedical Signal Processing
• Biomedical Signal and Image Processing
• Brain-Computer Interface
• Genomic Signal Processing
• Signal Processing in Genomics and Proteomics

Digital and Multirate Signal Processing
• Adaptive Signal Processing
• Digital and Multirate Signal Processing
• Digital Filter Design and Implementation
• Multidimensional Filters and Transforms
• Multiresolution Signal Processing
• Multiway Signal Processing
• Theory and Applications of Transforms
• Time-Frequency Analysis and Representation
• Statistical Signal Processing

Sensor Array and Multichannel Processing
• Array Signal Processing
• Signal Processing for Smart Sensors and Systems
• Compressive Sensing

Signal Processing for Communications
• Geophysical/Radar/Sonar Signal Processing
• MIMO Signal Processing

Signal Processing for Audio/Image/Video
• Audio/Speech/Music Processing & Coding
• Digital Photography
• HDR Imaging
• Image and Multidimensional Signal Processing
• Image/Video Indexing, Search and Retrieval
• Image/Video Compression and Coding Standards
• Image/Video Content Analysis
• Image/Video Processing Techniques
• 3D Image Processing and Applications
• Mobile Imaging and Image Quality
• Real-Time Signal/Image/Video Processing
• Video Surveillance and Transportation Imaging
• Digital Watermarking and Data Hiding

Other Areas and Applications
• Big Data
• Cognitive Signal Processing
• DSP Education
• Nonlinear Signals and Systems
• Information Forensics and Security
• Internet of Things (IoT)
• Social Signal Processing & Affective Computing
• Signal and System Modelling
• Signal Processing of Financial Data
• VLSI Architectures and Implementations for DSP

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PAPER SUBMISSION

The language of the Conference is English. Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures, tables, references and one optional 5th page containing references only). IEEE templates for the paper format, and “no show” policy apply. Authors should indicate one or more of the above listed categories that best describe the topic of the paper, as well as their preference (if any) regarding lecture or poster sessions. Lecture and poster sessions will be treated equally in terms of the review process. Submitted papers will be peer-reviewed by at least two experts in the field. All accepted papers that have been presented, will be published in IEEE Xplore. In addition to the technical program, a social program will be offered to the participants and their companions. It will provide an opportunity to meet colleagues and friends against a backdrop of outstanding natural beauty and rich cultural heritage in one of the best-known international tourist destinations, the Island of Sun, Rhodes.

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ORGANISING COMMITTEE

Honorary Chair
Anthony G. Constantinides, UK

General Chair
Athanassios N. Skodras, GR

General Co-Chair
Danilo Mandic, UK

Constantinides Track Chair
fred harris, US

Technical Program Chair
Adrian Munteanu, BE

Awards Chairs
Constantinos S. Pattichis, CY
Saeid Sanei, UK

Plenary Sessions Chairs
Marc Antonini, FR
Jonathon Chambers, UK

Special Sessions Chairs
Angelo Genovese, IT
Marios S. Pattichis, USA

Early Career Researcher Chair
Stefan Vlaski, UK

DSP Challenge Chair
Ayush Bhandari, UK

Women in SP Chair
Tania Stathaki, UK

Publicity Chairs
Efe Bozkir, DE
Dimitris Ampeliotis, GR
Melpomeni Dimopoulou, FR

Publications Chair
Vassilis Fotopoulos, GR

Industrial Liaisons
Ioannis Katsavounidis, US
George Lambropoulos, CA
Béatrice Pesquet-Popescu, FR
Mahsa Pourazad, UK
Andreas Spanias, US
Christian Timmerer, AT

International Liaisons
Jing Dong, CN
Alex Kot, SG
Vincenzo Piuri, IT
W. C. Siu, HK

Advisory Board
Moncef Gabbouj, FI
Kin K. Leung, UK
Thrasos Pappas, US

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IMPORTANT DATES

•    Submission of full papers – March 11, 2023
•    Notification of acceptance – April 11, 2023
•    Author advance registration – April 22, 2023
•    Camera-ready paper submission – May 11, 2023

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Digital sobriety? DNA might be the solution | Melpomeni Dimopoulou | TEDxCannes
https://www.youtube.com/watch?v=NG9x03DQ7CI&ab_channel=TEDxTalks

The purpose of this research project is the development of a serious game controlled by a surface electromyography (sEMG) interface for rehabilitation purposes. The processing of the sEMG signals and the gesture recognition is performed in an end-to-end fashion by deep learning (DL) methods. Specifically, convolutional neural network (CNN) architectures are utilised for the classification of signal segments to one of the target gestures. The interface is based on a sEMG armband placed around the user’s forearm. Using sEMG sensors allows the developed system to reject unwanted compensatory movements which are difficult to filter out with typical game controllers such as cameras. The evaluation of this serious game involves patients with upper limb impairments and neurological diseases, such as multiple sclerosis. The outcomes of this research project will contribute to the development of motivational serious games for the motion improvement of physically impaired people.

More on ERT3 O3 at https://www.youtube.com/watch?v=ILVMkHddUvY (in Greek)

At DSIP Lab (Digital Signal and Image Processing Laboratory) of the ECE Dept, Univ of Patras, Greece, we are recording the Electrical Network Frequency (ENF) since July 2016. Data and code are made available for free download.

The Electrical Network Frequency (ENF) Criterion is a forensic technique used to identify the authenticity of a digital recording. Since the power line signal interferes with all kinds of recordings (telephone, video, biosignals, ...), the availability of the ENF signal data for Greece could facilitate the authenticity of a recording, and the time & place that this recording has taken place. This is made possible by comparing the frequency pattern between the background utility hum in the evidence and long-term records of the ENF. 

We have ported the power line frequency recording system to a Raspberry Pi 3 Model B. This has rendered the whole system small in size, portable, and of low cost. The system captures the power line signal and extracts the ENF signal for mainland Greece, 24/7. The ENF data are uploaded every midnight to the cloud for free download. The recordings are in .csv file format.

More details about the system and the Python code for the Raspberry, can be found at http://dsip.ece.upatras.gr/projects/