Seminar on Artificial Intelligence

Department of Biomedical Engineering and AI Bay/DIH4.AI invite to seminar on 26^th November 2020.

Program (CET):

• 17.30-18.05: High Performance, Green Machine Learning for Embedded Edge Systems, David Gamba and Alicja Kwaśniewska, (SiMa.ai, CA, USA)
• 18.05-18.40: ML and Data Classification, John Saunders, (Titus and Boldon James, UK)  
• 18.40-19.15: AI in Practice: the “smarter” future ahead, Milos Manic (Virginia Commonwealth University, USA)

The event will be organized using Zoom platform. The invitation with Zoom link data will be sent two days before the seminar to all registered participants. Registration: https://aibay.ai/seminarium-z-cyklem-wykladow-26-listopada-2020/

 

About the speakers:

David Gamba – VP of Business Development at SiMa.ai (USA) – company focused on delivering a low power high performance ML platform accelerating performance of computer vision workloads for embedded edge applications (http://sima.ai/).

David has over 20 years experience in the semiconductor industry and has been recognized by the industry for introducing Hard Floating Point into FPGA devices as well as the OpenCL programming language into the programmable logic industry, which were key to driving the industry’s first wide scale adoption of FPGA accelerators in data centers.

Alicja Kwaśniewska – Software Architect at SiMa.ai specializing in machine learning applications for the embedded edge. She is also a co-organizer of the International Summer School on Deep Learning (dl-lab.eu) and has 20+ publications in the field, which were frequently awarded with e.g. best paper and best young professional paper awards. In her PhD dissertation she proposed innovative architectures of deep neural networks aimed at improving accuracy of remote medical diagnostics.

 

John Saunders – Sales Engineer at HelpSystems specializing in Data Identification, Classification and Protection. HelpSystems Data Security Suite combines Titus, Boldon James, Clearswift and GoAnywhere data security platforms to achieve a unified approach to managing and protecting your data.

Milos Manic – Professor of Computer Science at Virginia Commonwealth University (USA), director of VCU Cybersecurity Center, https://cybersecurity.vcu.edu/, Fellow Commonwealth Cyber Initiative (AI Assurance), https://cyberinitiative.org/,  officer at IEEE Industrial Electronics Society, an author of 200 research papers and the leader of more than 30 research projects. Research areas include: artificial intelligence, cyber security, critical infrastructure protection, energy security, resilient intelligent control, and other.

Keynote lecture and 7 papers at 12th IEEE/IES HSI…

A team from our department participated in the 12th International Conference on Human System Interaction IEEE HSI 2019 (Richmond, USA, June 25-27). Prof. Jacek Rumiński presented the keynote lecture titled: Augmented Perception. Prof. Mariusz Kaczmarek, Dr. Adam Bujnowski and Dr. Tomasz Kocejko participated as experts in the very interesting discussion panels:

• “Panel 2: The Future of Brain-Computer Interfaces”: Dean Krusienski(VCU), KATHRYN Holloway (VA hospital), Tomasz Kocejko (Gdańsk University of Technology), Douglas P. Murphy(VAMC), Young IL Seo(VAMC),
• “Panel 3: Rehabilitation Technology and Human System Interaction”: Cang Ye (VCU), Mariusz Kaczmarek (GUT), Adam Bujnowski (GUT), Mizanoor Rahman (UWF), Paul A. Wetzel (VCU).

As a team we presented 7 accepted papers on:

1. Detection of the Oocyte Orientation for the ICSI Method (Magdalena Mazur-Milecka, Emilia Kaczmarczyk, Lukasz Wrobel, Patryk Przybylski, Marika Trudnowska, Aleksandra Podwojcik, Monika Jagiello, Krzysztof Lukaszuk, Jacek Ruminski)
2. Estimation of electrode contact in capacitive ECG measurement (Adam Bujnowski, Mariusz Kaczmarek, Jerzy Wtorek, Kamil Osinski, Domnika Strupinska)
3. Optimal ECG lead for deriving respiratory signal (Piotr Przystup, Artur Polinski, Adam Bujnowski, Tomasz Kocejko, Jerzy Wtorek)
4. Sensors integration in the smart home environment – a proposal to solve the problem with user identification (Mariusz Kaczmarek, Adam Bujnowski, Kamil Osiński, Artur Poliński, Tomasz Kocejko)
5. Influence of Thermal Imagery Resolution on Accuracy of Deep Learning based Face Recognition (Maciej Szankin, Alicja Kwasniewska, Jacek Ruminski)
6. Can Eye-tracking provide useful information on the skills acquisition by the radiology residents (Tomasz Kocejko, Tomasz Gorycki, Artur Polinski, Adma Bujnowski, Mariusz Kaczmarek, Jacek Ruminski, Antoni Nowakowski, Jerzy Wtorek)
7. The influence of image masks definition on segmentation results of histopathological images using convolutional neural network (Kamil Janczyk, Tomasz Neumann, Jacek Rumiński).

International Summer School on Deep Learning – 5 days…

The International Summer School on Deep Learning was organized by our Department between 2nd and 6th of July, 2018. It was very interesting event with 9 invited lectures, 14 mini-courses and many other attractions. The very interesting course was focused on the inference training using Intel/Movidius Neuro Stick. Each participant has received a stick sponsored by Intel and by the local organizers.
There was a great interest between potential participants. We could accept only 60 participants, but we have received much more applications. The participants were representing about 20 countries. During the event, there were many attractions like football competitions, deep learning challenge, “pierogi party”, Gdańsk sightseeing, and many other. Next year we will organize the second edition of the school. More information is presented at: www.dl-lab.eu.

Slides from the opening ceremony:

Example of activities after courses:

More information at: www.dl-lab.eu

More photos:

Awards during HSI 2018!

This year, the 11th edition of the Human System Interaction conference was held in Gdańsk, Poland from the 4th to 6th July. The conference covered the theory, design and application of human‐system interaction in the areas of science, education, business, industry, services, humanity, environment, health, and government. Additionally, the parallel event, Summer School on Deep Learning was organized to make the HSI Conference even more attractive for students and young professionals. As an effect, almost 200 people from 20 countries attended both events, mostly young participants.

During the event 4 IEEE IES awards have been presented for students and young professionals. One of the awards was granted to Alicja Kwasniewska from our Department for the paper:

Mingshan Wang, Tejaswini Sirlapu, Alicja Kwasniewska, Maciej Szankin, Marko Bartscherer, Rey Nicolas, “Speaker Recognition using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions”, presented during the conference by Alicja Kwasniewska and Maciej Szankin from Gdansk University of Technology, Poland and from Intel, San Diego, USA

Additionally, best papers awards were presented to a few teams that received the best evaluation results (3 blind reviews for each paper). Two teams from our Department received the Best Paper Awards:

1.) Krzysztof Czuszynski, Alicja Kwasniewska, Maciej Szankin, Jacek Ruminski
Optical Sensor based Gestures Inference using Recurrent Neural Network in Mobile Conditions

2.) Adam Bujnowski, Kamil Osinski, Artur Polinski, Tomasz Kocejko, Jerzy Wtorek, Alexey Andrushevich, Electrical propterties of bath solution mixtures

Congratulations!