GEIST Research Group

We are GEIST. We dream big and work hard.

User Tools

Site Tools


pub:teaching:courses:rnd

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
pub:teaching:courses:rnd [2018/04/23 20:36] – [Spotkania RnD 2017] sbkpub:teaching:courses:rnd [2019/03/18 10:48] (current) gjn
Line 5: Line 5:
  
 ===== Terminy spotkań ===== ===== Terminy spotkań =====
 +
 +==== Wiosna 2019 ====
 +  - 2019-02-27 EIS kick off
 +  - 2019-02-13 omówienie WSHOP
 +  - 2019-03-14 polecamy [[http://www.aimeetup.pl]]
 +  - 2019-03-27 [[pub:teaching:courses:rnd#section20190327|Sławomir Tadeja]] (Cambridge Uni.) //Immersive Visual Analytics//
  
 ==== Wiosna 2018 ==== ==== Wiosna 2018 ====
Line 10: Line 16:
   - 2018-03-14 EIS WSHOP - omówienie tematów   - 2018-03-14 EIS WSHOP - omówienie tematów
   - 2018-03-28 [[pub:teaching:courses:rnd#section20180328|Richard Lucas]] TedxKazimierz   - 2018-03-28 [[pub:teaching:courses:rnd#section20180328|Richard Lucas]] TedxKazimierz
-  - 2018-04-25 SKK S.A. - IoT i sztuczna inteligencja – jak poskromić technologię+  - 2018-04-25 [[pub:teaching:courses:rnd#section20180425|SKK S.A. - IoT i sztuczna inteligencja – jak poskromić technologię]] 
 +  - 2018-06-06 [[pub:teaching:courses:rnd#section20180606|Philip Morris International - Artificial Intelligence at PMI - Automating Business Processes in a Corporate Environment]]
  
 ==== Jesień 2017 - dodatkowe spotkania ==== ==== Jesień 2017 - dodatkowe spotkania ====
Line 103: Line 110:
   * [[http://syllabuskrk.agh.edu.pl/pl/magnesite/study_plans/2012-2013-stacjonarne-informatyka-stosowana-systemy-inteligentne/module/361-eit-2-203-s-seminarium-badawczo-rozwojowe-2|Sylabus przedmiotu - semestr 2]]   * [[http://syllabuskrk.agh.edu.pl/pl/magnesite/study_plans/2012-2013-stacjonarne-informatyka-stosowana-systemy-inteligentne/module/361-eit-2-203-s-seminarium-badawczo-rozwojowe-2|Sylabus przedmiotu - semestr 2]]
   * [[http://syllabuskrk.agh.edu.pl/pl/magnesite/study_plans/2012-2013-stacjonarne-informatyka-stosowana-systemy-inteligentne/module/361-eit-2-302-s-seminarium-badawczo-rozwojowe-3|Sylabus przedmiotu - semestr 3]]   * [[http://syllabuskrk.agh.edu.pl/pl/magnesite/study_plans/2012-2013-stacjonarne-informatyka-stosowana-systemy-inteligentne/module/361-eit-2-302-s-seminarium-badawczo-rozwojowe-3|Sylabus przedmiotu - semestr 3]]
 +
 +===== Spotkania RnD 2019 =====
 +==== 2019-03-27 ====
 +<WRAP column 15%>
 +
 +</WRAP>
 +
 +<WRAP column 75%>
 +
 +**Topic**: //Immersive Visual Analytics: Interacting With Data in the Virtual Reality (VR) Environment//
 +
 +**Speakers**: Sławomir Tadeja, University of Cambridge 
 +
 +**Abstract**:
 +“Visual Analytics” is a term and research agenda coined by J.J. Thomas that combines two things: “interactive visual interfaces” with the “analytical reasoning” about the visualized data. Originally, the term concerned interactive 2D/3D visualizations offered by standard PC setup. However, recent advances and breakthroughs in the development of the so-called immersive interfaces such as Virtual Reality (VR) and Augmented Reality (AR), have spun off another branch of research i.e. immersive visual analytics (IVA). Immersive analytics tries to understand how the newest wave of these technologies can be leveraged and assist in creating even more compelling, more intuitive and more effective visual analytical tools.
 +
 +The talk will focus on the VR-based visualizations. It will briefly discuss challenges and known issues related to the design of IVA tools i.e. (1) how to evaluate an IA visualization design, (2) how to mitigate the risks of the development of simulation sickness symptoms among the users, and (3) what are the available modes of interaction at the moment. Moreover, an example of how to leverage the VR environment to support real-life engineering design processes concerning aerospace turbomachinery design will be given.
 +
 +**Biogram**
 +
 +{{:pub:teaching:courses:tadeja.jpg?150 |}}**Sławomir** joined the Engineering Department, University of Cambridge in October 2016 as a PhD researcher after receiving Licencjat and Magister degrees in Computer Science from the Jagiellonian University in Kraków. During his studies he has undertaken multiple internships including CERN, Microsoft, European Space Agency and Institute of Nuclear Physics PAN. He was also part of the Prof. Paweł Moskal Research Group working on Monte Carlo simulation of the SABAT System for underwater detection of dangerous substances; this work was presented at both University of Oxford and UN Climate Change Conference in Katowice. At Cambridge, he is part of the Intelligent Interactive Systems Group working under supervision of Dr Per Ola Kristensson. Sławomir works primarily within Scientific (SciVis) and Information Visualisation (InfoVis) on the interaction design for immersive visual analytics with the help of Virtual Reality (VR) head-mounted displays (HMDs) focusing on abstract data exploration and visualization. Sławomir's studies at Cambridge are supported by the Cambridge European and Trinity Hall Scholarship and the Engineering and Physical Sciences Research Council (EPSRC) UK.
 +
 +</WRAP>
 +<WRAP clear></WRAP>
 +
  
 ===== Spotkania RnD 2018 ===== ===== Spotkania RnD 2018 =====
 +==== 2018-06-06 ====
 +<WRAP column 15%>
 +{{:pub:teaching:courses:rnd2018-06-06.png?200|}}
 +{{:pub:teaching:courses:rnd2018-06-06.pdf|}}
 +</WRAP>
 +
 +<WRAP column 75%>
 +
 +{{ :pub:teaching:courses:pmi_logo.jpg?600 |}}
 +
 +**Temat**:
 +//Artificial Intelligence at PMI - Automating Business Processes in a Corporate Environment//
 +
 +**Speakers**: 
 +  - Debmalya Biswas, Lead Enterprise Architect
 +  - Nicolas Correa, Manager IS
 +  - Mateusz Lugowski, Solution Architecture Intern
 +  - Vladyslav Melnyk, Solution Architect
 +
 +**Contents:**
 +  - **Team Introduction**
 +  - **Experiment #1 - 'Deep Learning based Natural Language Search'** \\ In this talk, we will provide details of a Deep Learning based solution (DrQA) for Natural Language Search over factory machine manuals. The proposed architecture allows identifying the precise answer span corresponding to a query, which improves over the paragraph level answers enabled by pure statistical approaches.
 +  - **Experiment #2 - 'Planogram - Shelf Compliance at Point of Sale'** \\ In this talk we will provide details of a Deep Learning based solution for shelf compliance image recognition use-case at PMI Points-of-Sales (PoS). The experimental architecture consists of two stages, first one detects all positions on the shelf (empty positions, our and non PMI products). The second one is executing classification of detected positions and provides a type of each. System finds all PMI products and their types, non-PMI products, empty slots, counts them and verifies if everything is placed correctly due to PMI requirements.   
 +  - **Experiment #3 - 'Helpdesk Ticket Classification'** \\ In this talk we will provide details about neural network based solution for helpdesk ticket classification. The experimental network architecture consists of a mix of fully connected layers on top of number of keyword occurrences and a stack of one dimensional convolutions over word vector embeddings for the whole text.
 +  - **Discussion & Closing**
 +
 +**Speakers’ Biograms**
 +
 +
 +{{:pub:teaching:courses:pmi_biswas.png?50 |}}**Dr. Debmalya Biswas** is a Lead Enterprise Architect in the Information Services group at PMI, based in Lausanne, Switzerland. He has over 15 years’ experience working on a variety of technology areas, such as, AI, Big Data, Semantic Web, Information Retrieval, and Data Privacy. During this period, he has worked for leading technology companies such as Nokia, SAP, Oracle, Swisscom, Infosys, and the Swiss startup Iprova. He is the (co-)author of around 40 patents and 30 articles published in leading scientific conferences and journals. He holds a PhD in Computer Science from INRIA, France.
 +
 +
 +{{:pub:teaching:courses:pmi_correa.png?50 |}}**Nicolas Correa** is a Lead ISE (Information Services Expert) in Artificial Intelligence, based in Krakow, Poland. He holds a Bachelor's degree of Computer Science at UADE (Universidad Argentina De la Empresa), with over 10 years of experience working at different multinational companies from different industries (Pricewaterhouse&Coopers, IBM, Avaya), providing a solid professional experience, mainly in Project Management by executing Telecoms and IT related projects supporting Leaf, Agronomy, ITS&P (Illicit Trade Strategy & Prevention), and Operations.
 +
 +
 +{{:pub:teaching:courses:pmi_lugowski.png?50 |}}**Mateusz Lugowski** is an AI Solution Architect Intern in the Infromation Services group at PMI, based in Krakow, Poland. He has finished a BSc in Control Systems and Robotics at the AGH University of Science and Technology, and is pursuing a Master's degree in the same subject. Although his professional experience in the AI domain is quite short, he has been a hobbyist for some time, and applies his knowledge in commercial use cases in his current position.
 +
 +
 +{{:pub:teaching:courses:pmi_melnyk.png?50 |}}**Vladyslav Melnyk** is an AI Solution Architect in the Information Services group at PMI, based in Krakow, Poland. He has finished a Masters Computer Engineering degree in Lviv Polytechnic University in 2017. He has experience in providing AI solutions for logistics domain, he implemented various Deep Learning models and algorithms for Image Recognition and Computer Vision tasks. Beside this, he is very enthusiastic in all AI opportunities, likes to implement, extend, and apply latest research in deep learning.      
 +
 +**About PMI**
 +
 +Philip Morris International is a leading international tobacco company, with a diverse workforce of around 81,000 people. Our products are the choice of 150 million consumers worldwide, and for those who choose to continue to smoke, we will continue to offer them the best quality products. But that’s not where our vision for smokers ends.
 +We’re dedicated to doing something very dramatic – replacing cigarettes with the smoke-free products that we’re developing and selling. That’s why we have a total of over 400 dedicated scientists, engineers, and technicians developing less harmful alternatives to cigarettes at our two Research & Development sites in Switzerland and Singapore. It’s the biggest shift in our history.
 +This company transformation triggers demand for innovative IT solutions such as Artificial Intelligence & Machine Learning that will help us automate our business processes, releasing time & energy of our employees to focus on generating value to our customers and implementing our strategy towards smoke-free future.
 +
 +Key facts about PMI:
 +  * 81,000 employees around the world
 +  * 400+ R&D scientists, engineers and technicians working on smoke-free products
 +  * 180+ markets where our products are sold
 +
 +Further information:
 +  * [[http://www.pmi.com|]]
 +  * [[http://www.pmiscience.com|]]
 +  * [[http://www.pmicareers.com|]]
 +
 +
 +
 +</WRAP>
 +<WRAP clear></WRAP>
 +
 +
 +
 +
 +==== 2018-04-25 ====
 +<WRAP column 15%>
 +{{:pub:teaching:courses:rnd2018-04-25.png?200|}}
 +{{:pub:teaching:courses:rnd2018-04-25.pdf|}}
 +</WRAP>
 +
 +<WRAP column 75%>
 +{{  :pub:teaching:courses:augustyn_lorenc.jpg?nolink&100|}}
 +**Gość**:  Augustyn Lorenc – specjalista ds. badań i rozwoju 
 +
 +**Temat**:
 +//IoT i sztuczna inteligencja – jak poskromić technologię//
 +
 +**Agenda**:
 +  - Potrzeby rynkowe
 +  - Korzyści i zagrożenia zastosowania sztucznej inteligencji
 +  - Projektowanie rozwiązań IoT – wyzwania i problemy
 +  - Case study
 +  - Trendy rozwoju rozwiązań IoT
 +
 +**Biogram**
 +
 +**Dr inż. Augustyn Lorenc** – przykład na połączenie nauki i biznesu. Od 2011 pracownik Instytutu Pojazdów Szynowych na Wydziale Mechanicznym Politechniki Krakowskiej. Od 2006 do 2015 roku freelancer, głównie współpracujący z warszawską agencją reklamy JM Group jako developer aplikacji internetowych. W 2012 roku prowadził własną firmę informatyczną pod Akademickim Inkubatorem Przedsiębiorczości. Od 2016 roku pracownik firmy SKK S.A. na stanowisku Specjalista ds. Badań 
 +i Rozwoju. Naukowo autor ponad 50 publikacji naukowych, recenzent czasopism krajowych i zagranicznych. Biznesowo analityk danych, zastępca kierownika projektu B+R realizowanego w SKK,  rzeczoznawca SIMP, ekspert zewnętrzny NCBiR.
 +
 +Na spotkaniu będzie również obecna **HR Specialist SKK Amelia Dulko**, która po prezentacji chętnie odpowie na Wasze pytania dotyczące rekrutacji. Będzie również możliwość, już indywidualnie, skonsultowania swojego CV pod kątem jego poprawności. 
 +
 +**O SKK S.A.**
 +
 +SKK S.A. - Jesteśmy firmą technologiczną, ekspertami w zakresie nowych technologii. Od 25 lat doradzamy, jak usprawniać logistykę, produkcję i handel. Specjalizujemy się w produkcji oprogramowania logistycznego, wdrażania technologii automatycznej identyfikacji, tworzeniu nowoczesnych systemów znakowania, projektowaniu i instalowaniu dedykowanych rozwiązań sieciowych. Od początku istnienia firmy koncentrujemy się na wdrażaniu innowacyjnych rozwiązań, których celem jest optymalizacja i automatyzacja pracy.
 +
 +http://skkglobal.com/ 
 +
 +</WRAP>
 +<WRAP clear></WRAP>
 +
 +
 ==== 2018-03-28 ==== ==== 2018-03-28 ====
  
Line 136: Line 269:
 <WRAP clear></WRAP> <WRAP clear></WRAP>
  
-===== Spotkania RnD 2018 ===== 
-<WRAP column 75%> 
-{{  :pub:teaching:courses:augustyn_lorenc.jpg?nolink&100|}} 
-**Gość**:  Augustyn Lorenc – specjalista ds. badań i rozwoju  
- 
-**Temat**: 
-//IoT i sztuczna inteligencja – jak poskromić technologię// 
- 
-**Agenda**: 
-1. Potrzeby rynkowe 
-2. Korzyści i zagrożenia zastosowania sztucznej inteligencji 
-3. Projektowanie rozwiązań IoT – wyzwania i problemy 
-4. Case study 
-5. Trendy rozwoju rozwiązań IoT 
- 
-**Biogram** 
-Dr inż. Augustyn Lorenc – przykład połączenia nauki i biznesu. Od 2011 pracownik Instytutu Pojazdów Szynowych na Wydziale Mechanicznym Politechniki Krakowskiej. Od 2006 do 2015 roku freelancer, głównie współpracujący z Warszawską agencją reklamy JM Group jako developer aplikacji internetowych. W 2012 roku prowadził własną firmę informatyczną pod Akademickim Inkubatorem Przedsiębiorczości. Od 2016 roku pracownik firmy SKK S.A. na stanowisku specjalista ds. badań i rozwoju. Naukowo autor ponad 50 publikacji naukowych, recenzent czasopism krajowych i zagranicznych. Biznesowo analityk danych, zastępca kierownika projektu B+R realizowanego w SKK,  rzeczoznawca SIMP, ekspert zewnętrzny NCBiR. 
-</WRAP> 
-<WRAP clear></WRAP> 
  
  
pub/teaching/courses/rnd.1524515811.txt.gz · Last modified: 2018/04/23 20:36 by sbk

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki