(Last updated : 2019-07-25 17:24:08)
  PICHL, Lukas
   Senior Associate Professor
   Division of Arts and Sciences, College of Liberal Arts, International Christian University
■ Academic Background
1. 2003/03/20
Degree Acquisition
Charles University Prague, Doctor of Philosophy
2. 2001
Degree Acquisition
University of Economics Prague, Master of Science
3. 2000
Degree Acquisition
Graduate University of Advanced Studies, Doctor of Philosophy
4. 1997
Degree Acquisition
Charles University Prague, Faculty of mathematics and physics, Master of Science
■ #Professional Background
1. 2014/04~ Senior Associate Professor, Division of Arts and Sciences, College of Liberal Arts, International Christian University
2. 2008/04~2014/03 Associate Professor, Division of Arts and Sciences, College of Liberal Arts, International Christian University
3. 2007/04~2008/03 Associate Professor, , College of Liberal Arts, International Christian University
4. 2005/04~2007/03 Assistant Professor, , College of Liberal Arts, International Christian University
5. 2001/10~2005/03 Assistant Professor, University of Aizu
■ #Present Specialized Fields
Soft computing 
■ #Main Course Titles
Numerical Methods in Science, Advanced Studies in Information Science, Foundation of Programming, Computers and Human Interaction, Computer Architecture, Elements of Discrete Mathematics
■ #Books and Articles
1. Book Literature Categorization System for Automated Database Retrieval of Scientific Articles Based on Dedicated Taxonomy, in Data Mining for Design and Marketing (Collaboration) 2009/01
2. Article Artificial Neural Networks for Realized Volatility Prediction in Cryptocurrency Time Series (Collaboration) 2019/07
3. Article Bitcoin and investor sentiment: statistical characteristics and predictability (Collaboration) 2019/01
4. Article Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning (Collaboration) 2019/01
5. Article Analysis of Bitcoin market efficiency by using machine learning (Collaboration) 2018/10
Display all(58)
■ #Academic Conference Presentation
1. 2019/06/19 Recent Machine Learning Algorithms for Classification of Time Series: Recurrent Deep Learning Networks with Potential for Plasma Applications (4th International Workshop on Models and Data for Plasma-Material Interaction in Fusion Devices, MoD-PMI 2019)
2. 2019/02/04 Arbitrage, Co-integration, and Efficiency in Cryptocurrency Exchanges (4th International Symposium on Big Data Analytics in Science and Engineering (BASE 2019))
3. 2018/07/02 Ether cryptocurrency: arbitrage and cointegration for Ether-derived exchange rates among CAD, CNY, GBP, EUR, JPY & USD (23rd Annual Workshop on Economic Science with Heterogeneous Interacting Agents)
4. 2018/07/01 Prediction of high frequency Bitcoin prices with deep learning attention mechanism (23rd Annual Workshop on Economic Science with Heterogeneous Interacting Agents)
5. 2018/03/21 Analysis of Bitcoin market efficiency by using machine learning (6th CBU International Conference on Innovations in Science and Education)
Display all(28)
■ #Lectures
1. 2015/02 Database of differential cross sections for ionization of atomic hydrogen in collisions with protons
2. 2008/03 Stochastic Computing with Biological Sequences (Lund, Sweden)
3. 2007/08 Dissociative recombination of molecular diatomic ions
4. 2007/03 On the automatic categorization and summarization of ideographic asian text
5. 2006/11 Symbolic Analysis of Numerical Time Series (Tokyo)
Display all(8)
■ #Academic Society Memberships
1. 2005~ Association for Computing Machinery
2. 2002/03~ Institute of Electrical and Electronics Engineers (IEEE, Computer Society)
■ #Research Topics, Funded Research, and Grants-in-Aid for Scientific Research
1. 2014/04~  Update and Extension of Atomic and Molecular Databases for LHD Peripheral Plasmas  (Key Word : )
2. 2006/01~2006/02  Computing critical data of fusion plasma processes for the ITER project  (Key Word : )
■ #Social Activities
1. 2018/08~ Journal of Economic Interaction and Coordination
■ #E-Mail Addresses
  kyoin_mail
■ #Grants-in-aid for Scientific Research Researcher Number
10343394