Previous ESSCaSS schools:

2023: 20th, University of Tartu, Delta Center

• Prof. Anders Søgaard - Foundations of Trustworthy AI
  University of Copenhagen, Homepage, Google Scholar
• Prof. Toon Calders - Fairness in Machine Learning
  University of Antwerp, Homepage, Google Scholar
• Prof. Marc Hanheide - Autonomous Robots in the Wild
  University of Lincoln, UK., Homepage, Scholar
• Prof. Vashek Matyáš - From ROCA (Fun & troubles with RSA keypairs) to improved security certification; Two lessons from usable security and its experiments.
  Masaryk University, Czech Republic, Homepage, DBLP Scholar
• Prof. Sadok Ben Yahia - Data-driven Urban mobility for CO2 emission reduction.
  Scholar Homepage (TalTech)

        https://courses.cs.ut.ee/t/esscass2023/

2022: 19th, University of Tartu, Delta Center

• Prof. Eyke Hüllermeier - Uncertainty Quantification in Machine Learning: From Aleatoric to Epistemic; and/or Preference Learning and Ranking.
  University of Munich (Ludwig-Maximilians-Universität München) (Linkedin, Scholar)
• Prof. Christoph Lampert - Fair and Robust Machine Learning
  Institute of Science and Technology Austria (homepage, Scholar)
• Marek Rei, PhD - Encoders: The Art of Packing Text into Vectors
  Lecturer, Imperial College London (Homepage, Scholar)
• Assoc. Prof. Jaan Aru - The neural idea factory: How new ideas come about
  AI and Neuroscience, University of Tartu (Scholar)
• Prof. Tanel Tammet - On Common Sense
  Appied Artificial Intelligence group, Tallinn University of Technology ( ETIS CV, Scholar)
• Assoc. Prof. Meelis Kull - Calibration and confidence in Machine Learning
  Machine Learning, University of Tartu (Scholar)
• Prof. Raul Vicente - The brain through the lens of complex systems
  Computational Neuroscience, University of Tartu (Scholar)

        https://courses.cs.ut.ee/t/esscass2022/

2019: 18th, Roosta Holiday Village (North-Western Estonia)

• Assoc. Prof. Antti Oulasvirta - Associate Professor, User interfaces, Aalto University
• Ms. Mariana Romanyshyn - Technical Lead, Computational Linguist at Grammarly, Inc.
• Prof. Adrian Kaehler - Giant.AI, Silicon Valley Deep Learning Group

Guest talks

• Adj. Prof. Stefania Tomasiello - Senior Research Fellow and Adjunct Professor with DISA-MIS, University of Salerno; Lecturer, Institute of Computer Science, University of Tartu
• Session on Autonomous Driving Lab is held by Anne Jääger, Tambet Matiisen, Dmytro Fishman, Maksym Semikin, and Jan van Gent.

        https://courses.cs.ut.ee/t/esscass2019/

2018: 17th, Roosta Holiday Village (North-Western Estonia)

1. Pablo Duboue - Natural Language Generation: Traditional Approaches and Research Directions
2. Gavin Brown - Ensemble methods in machine learning, feature selection in machine learning.
3. Giuseppe De Giacomo - Reasoning About Actions: From Automata to LTLf/LDLf Synthesis and Planning

• Vahur Puik – Historic Estonia on a modern “Streetview” Ajapaik.ee
  
• Tõnu Esko - Genomics and Personalised Medicine
  
• Arnis Paršovs - Estonian ID Card and Recent Security Issues
  

      https://courses.cs.ut.ee/t/esscass2018/

2017: 16th, Jäneda (Northern Estonia)

1. Audris Mockus - From Software Engineering to Evidence Engineering
2. Carl Henrik Ek - Machine Learning: beliefs, models and inference
3. Kalle-Lyytinen - Digital Innovation Management: Reinventing Innovation Management Research in a Digital World; Metahuman systems- a new socio-technical challenge; “Computing” Requirements for Open Source Software: A Distributed Cognitive Approach
4. Jaakko Hollmén - Machine learning: predictive analytics in health and environment

      https://courses.cs.ut.ee/t/esscass2017/

2016: 15th, Nelijärve (Northern Estonia)

1. Christian S. Jensen - Keyword-Based Querying of Geo-Textual Data; Data-Intensive Routing in Spatial Networks
2. Gerogios Gousios - Quantitative methods in software engineering; Mining GitHub for fun and profit
3. Eric Gaussier - Accessing textual information in large collections
4. Aristides Gionis - Basic principles of algorithmic graph mining

      https://courses.cs.ut.ee/t/esscass2016/ 

2015: 14th, Nelijärve (Northern Estonia)

1. Fionn Murtagh - Towards the New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems
2. Jilles Vreeken - Simply Exploring Data
3. Sethu Vijayakumar - Robots that Learn: Harnessing Advances in Machine Learning for Smart Actuation
4. Dekai Wu - AI=Learning to translate
5. Hannu Toivonen - Computational Creativity

      https://courses.cs.ut.ee/t/esscass2015/

2014: 13th, Roosta (North-Western Estonia)

1. Thomas Ertl - Interactive Visual Analysis of Complex Data
2. Peter A. Flach - Machine learning for interpretable knowledge and better decisions
3. David Lo - Data Analytics for Automated Software Engineering
4. Pavel Laskov - Reactive Cybersecurity: Attack, Detect, Evade
5. Valtteri Niemi - Security of mobile communication systems

      https://courses.cs.ut.ee/t/esscass2014/ 

2013: 12th, Voore (Central Estonia)

1. Bing Liu - Opinion Mining and Sentiment Analysis
2. Fosca Giannotti - Mobility Data Analysis and Mining
3. Frits Vaandrager - Inference of State Machines
4. Vitaly Shmatikov - Privacy Technologies: What Works, What Doesn't, and What Is To Be Done
5. Dino Pedreschi - Social network analysis: a crash mini-course

      https://courses.cs.ut.ee/t/esscass2013/

2012: 11th, Jäneda (North Estonia)

1. Torben Bach Pedersen - Managing Complex Multidimensional Data
2. Andreas Zeller - Mining Programs and Processes
3. Krishna P. Gummadi - Enabling the Social Web
4. Robin Burke - Hybrid Recommender Systems

      http://courses.cs.ut.ee/schools/esscass2012/ 

2011: 10th, Otepää (South Estonia)

• Eric Ruppert - Lock-Free Shared Data Structures
• Dietmar Maringer - Heuristical approximation of functions
• Peter Ryan - e-Voting and security
• Farhad Arbab - Coordination, Reo, and software composition

      http://courses.cs.ut.ee/schools/esscass2011

2010: 9th, Pedase (Harju, North-East coast)

• Yury Lifshits - Community Management / Similarity Search
• Nello Cristianini - Computational pattern analysis
• Per Kristian Lehre - Evolutionary computing
• Kobbi Nissim - Private data analysis

      http://courses.cs.ut.ee/schools/esscass2010/

2009: 8th, Jäneda (North Estonia)

1. Wil van der Aalst - Process mining
2. Stefan Edelkamp - Graph search engineering
3. Charles Elkan - Machine learning & computational biology
4. Kurt Jensen - Coloured Petri

      http://courses.cs.ut.ee/schools/esscass2009/+]

2008: 7th, Otepää (Marguse, Otepää, South Estonia)

1. Ricardo Baeza-Yates -- Web Mining or The Wisdom of the Crowds
2. Filippo Menczer -- The Web as a Social Environment
3. Arend Rensink -- Graph Transformation for Specification and Verification
4. Algirdas Avižienis -- Fundamental Concepts of Dependable and Secure Computing and Architectures of Fault-Tolerant Systems

      http://courses.cs.ut.ee/schools/esscass2008/ 

2007: 6th, Lepanina (Pärnu, South-West coast)

1. Richard Dearden -- Automatic Planning and Decision-Making
2. Anders Møller -- XML and Web Application Programming
3. Peter Wegner -- Interactive Computation: A New Paradigm of Problem Solving
4. Johannes Helander -- Service Oriented Embedded Computing

      http://courses.cs.ut.ee/schools/esscass2007/

2006: 5th, Pedase (North-East coast)

1. Bernd Fischer -- Logical foundations for automated code generation
2. Thomas Gärtner -- Kernel methods in machine learning
3. Juha Kärkkäinen -- Generic programming
4. Doron Peled -- Formal methods: model checking and testing

      http://cs.ioc.ee/yik/schools/sum2006/

2005: 4th, Pedase (North-East coast)

1. Dines Bjørner -- Toward a domain theory of transportation
2. Jean-Marie Jacquet -- Coordination models and languages: from theory to practice
3. Jakob Rehof -- ZING: systematic state space exploration of concurrent software
4. Reino Kurki-Suonio -- Incremental and aspect-oriented development of operational specifications in terms of horizontal abstractions
5. Ina Schieferdecker -- New approaches towards automated software testing: the testing and test control notation TTCN-3

      http://cs.ioc.ee/yik/schools/sum2005/

2004: 3rd, Pedase (North-East coast)

1. Wilfried Brauer -- Lectures on multiagent systems
2. John Hatcliff -- Software model checking using bogor -- a modular and extensible model checking framework
3. Anders Ravn -- UML and formal development methods for embedded systems
4. Margus Veanes -- Specification and black-box testing of software with SPEC#

      http://cs.ioc.ee/yik/schools/sum2004/

2003: 2nd, Taagepera castle, South Estonia

1. Walter Dosch -- Stream based design of interactive systems
2. Bran Selic -- Recent developments in model-driven development methods and the unfied modeling language
3. Vladimir Vlassov -- Programming with processes (models, synchronization, interaction paradigms)

      http://cs.ioc.ee/yik/schools/sum2003/

2002: 1st, Kohala manor house, Central Estonia, 22.-25. of August.

Estonian speakers (below) and participants (overall some 35 people):

• Leo Mõtus
• Jaan Penjam
• Merik Meriste
• Jaak Vilo
• Maarja Kruusmaa
• Mart Tamre
• Aare Baumer
• Jaak Tepandi
• Jaan Kelder
• Jüri Helekivi
• Eero Vainikko
• Raul Savimaa
• Alexander Klyubin
• Meelis Kull
• Andri Riid
• Konstantin Skaburskas
• Taivo Kangilaski
• Silver Keskküla
• Jelena Sanko

Main topics:

• applicatiomns of computer science
• future of winter- and summerschools
• bio-inspired robots
• bioinformatics