Dr. Andreas Janecek. Curriculum Vitæ

Transcription

1 Dr. Andreas Janecek Curriculum Vitæ Univeristy of Vienna, Austria Waehringerstrasse 29/5.45, 1090 Vienna +43 (0) andreas.janecek@univie.ac.at Machine Learning & Data Mining Computational Low-rank Approximations Cellular floating car data Research Interests Supervised/unsupervised learning algorithms, classification/regression, clustering, feature selection, dimensionality reduction, distributed ( epidemic ) data mining Stochastic optimization, nature-inspired meta-heuristics, swarm intelligence, fish school search, evolutionary algorithms, epidemic algorithms Initialization strategies, parallel and distributed approximation, high-performance implementations Road traffic monitoring, incident detection, travel time estimation and prediction Education PhD (Dr. techn.) in Computer Science, University of Vienna Received with distinction B.Sc and M.Sc in Business Informatics, University of Vienna Received with distinction Since 08/2012 Professional Experience Postdoctoral Researcher, Research Group Theory and Applications of Algorithms and Research Group Entertainment Computing, Faculty of Computer Science, University of Vienna 04/ /2012 Visiting Postdoctoral Researcher, Escola Politécnica de Pernambuco, Universidade de Pernambuco (UPE), Brazil. 09/ /2012 Postdoctoral Researcher, Research Group Entertainment Computing, Faculty of Computer Science University of Vienna (UoV) 09/ /2011 Postdoctoral Researcher, School of Electronic Engineering and Computer Science, Peking University (PKU), China Research Associate, Department of Distributed and Multimedia Systems, University of Vienna Teaching Experience Natural Computation Graduate course (M.Sc. UPE): Optimization algorithms, swarm intelligence, evolutionary algorithms (given in English) Computational Graduate course (PhD PKU): Introduction to machine learning, meta-heuristics, nature-inspired search algorithms (given in English)

2 space Computational Drug Design spaceinternet Technologies Technical Basics and System Software space ICSI Best Paper Award space ICSI Best Paper Award space FACEPE Scholarship space EM-ECW Scholarship space ARES Best Paper Award ROADCELL DICIP CPAMMS AMADEUS Security Communication Team work and problem solving Graduate course (M.Sc UoV): Machine learning (feature selection, classification,... ) in the context of drug classification (given in English) 2nd semester course (B.Sc UoV): Network basics, TCP/IP and ISO/OSI-model, security aspects (partly given in English) 1st semester course (B.Sc UoV): Digital logic, Boolean algebra, computer architecture, UNIX, C, processes, shell scripts (lecture and exercises) Awards and Scholarships First Place Best Paper Award ICSI 2013 Fourth International Conference on Swarm, Harbin, China First Place Best Paper Award ICSI 2011 Second International Conference on Swarm, Chongqing, China Visiting Grant FACEPE Post-doctorate level Universidade de Pernambuco, Brazil 04/ /2012 Erasmus Mundus External Cooperation Window for China Post-doctorate level Peking University, China, 09/ /2011 Second Place Best Paper Award ARES 2008 Third International Conference on Availability, Reliability and Security, Technical University of Catalonia, Barcelona, Spain Projects Road Traffic Estimation from Cellular Network Signaling Distributed Computing and Information Processing Computing Paradigms and Algorithms for Molecular Modeling and Simulation Mobility-Aware Replication Techniques in Pervasive Information Systems Security and Antispam-Technologies Skills Profile Good oral communication skills in English gained from teaching and from giving presentations at conferences, workshops and seminars. Well established academic writing skills developed with paper and thesis writing. Experienced in leading and working in team projects in research groups. Teamcoordinator in the development and organization of several courses, financial chair and local program committee member of several conferences. Ability to solve problems in difficult and stressful situations.

3 Languages TEC SMCB IJSIR NEUCOM IC-SI CEC/WCCI German: Mother tongue English: Fluently in speech and writing Spanish: Basics Chinese: Yìdianr (a few basics) Portuguese: Restaurant level Program Committee Member / Reviewer IEEE Transactions on Evolutionary Computation IEEE Transactions on Systems, Man, and Cybernetics International Journal of Swarm Research Neurocomputing International Conference on Swarm IEEE Congress on Evolutionary Computation / World Congress on Computational Publications Journal Articles Andreas Janecek, Danilo Valerio, Karin A. Hummel, Fabio Ricciato, Helmut Hlavacs. Real- Time Road Traffic Estimation Leveraging Mobile Phone Data. In IEEE Transactions on Intelligent Transportation Systems, submitted, Merger & Acquisition Target Prediction using Positive Selection: A detailed Methodology and Case Studies. In Integrated Computer-Aided Engineering (ICAE), submitted, Elliackin M. N. Figueiredo, Teresa B. Ludermir, Carmelo J. A. Bastos-Filho, Dennis R. C. Silva, Andreas Janecek. An Improved MOPSO Algorithm for Tackling Many-Objective Problems. Expert Systems with Applications, submitted, Andreas Janecek and Ying Tan. Swarm for Non-negative Matrix Factorization. International Journal of Swarm Research (IJSIR), 2(4):12 34, Andreas Janecek, Stefan Schulze Grotthoff, and Wilfried N. Gansterer. libnmf A Library for Nonnegative Matrix Factorization. Computing and Informatics, 30(2): , Michael A. Demel, Andreas Janecek, Wilfried N. Gansterer, and Gerhard F. Ecker. Comparison of Contemporary Feature Selection Algorithms: Application to the Classification of ABC-transporter Substratses. QSAR Combinat Chem, 28(10): , Michael A. Demel, Andreas Janecek, Khac-Minh Thai, Gerhard F. Ecker, and Wilfried N. Gansterer. Predictive QSAR Models for Polyspecific Drug Targets: The Importance of Feature Selection. Current Computer - Aided Drug Design, 4(2):91 110, Andreas Janecek, Wilfried N. Gansterer, Michael Demel, and Gerhard F. Ecker. On the Relationship Between Feature Selection and Classification Accuracy. JMLR: Workshop and Conference Proceedings, 4:90 105, Book Chapters A new Approach for Suggesting Takeover Targets based on Computational and Information Retrieval Methods: a Case Study from the Indian Software Industry. In Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems, pages , IGI Global 2013.

4 Andreas Janecek and Wilfried N. Gansterer. Utilizing Nonnegative Matrix Factorization for Classification Problems. In Michael W. Berry and Jacob Kogan, editors, Text Mining III: Application and Theory, pages 57 80, Wiley, Wilfried N. Gansterer, Andreas Janecek, and Robert Neumayer. Spam Filtering Based on Latent Semantic Indexing. In Michael W. Berry and Malu Castellanos, editors, Survey of Text Mining II: Clustering, Classification, and Retrieval, pages Springer, Peer-reviewed Conference Articles Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification. In 1st BRICS Countries & 11th CBIC Brazilian Congress on Computational, to appear, Shaoqiu Zheng, Andreas Janecek, and Ying Tan. Enhanced Fireworks Algorithm. In CEC 2013: IEEE Congress on Evolutionary Computation, pages , IEEE, Andreas Janecek, Tobias Jordan and Fernando Buarque de Line-Neto. Agent-Based Social Simulation and PSO. In ICSI 2013: Fourth International Conference on Swarm, pages Springer LNCS 7929, ICSI 2013 Best Paper Award! Andreas Janecek, Danilo Valerio, Karin A. Hummel, Fabio Ricciato, Helmut Hlavacs. Cellular Data Meet Vehicular Traffic Theory: Location Area Updates and Cell Transitions for Travel Time Estimation. In UbiComp 12: Proceedings of the 14th international conference on Ubiquitous computing, pages ACM, % acceptance rate Andreas Janecek, Danilo Valerio, Karin A. Hummel, Helmut Hlavacs, Fabio Ricciato, et al. Incident detection from cellular network signaling. In The 19th ITS World Congress (ITS 2012), 2012; Andreas Janecek and Ying Tan. Using Population Based Algorithms for Initializing Nonnegative Matrix Factorization. In ICSI 2011: Second International Conference on Swarm, pages Springer LNCS 6729, ICSI 2011 Best Paper Award! Andreas Janecek and Ying Tan. Iterative Improvement of the Multiplicative Update NMF Algorithm using Nature-inspired Optimization. In ICNC 2011: The 7th International Conference on Natural Computation, ISBN: , Andreas Janecek and Ying Tan. Feeding the Fish - Weight Update Strategies for the Fish School Search Algorithm. In ICSI 2011: Second International Conference on Swarm, pages Springer LNCS 6729, Andreas Janecek and Wilfried N. Gansterer. Classification based on Non-Negative Matrix Factorization. In 5th International Text Mining Workshop 2009 in conjunction with the 9th SIAM Conference of Data Mining. SIAM, Andreas Janecek, Wilfried N. Gansterer, and K. Ashwin Kumar. Multi-level Reputationbased Greylisting. In ARES 08: 3rd International Conference on Availability, Reliability and Security, pages IEEE Computer Society, Julien Gossa, Andreas Janecek, Karin A. Hummel, Wilfried N. Gansterer, and Jean-Marc Pierson. Proactive Replica Placement Using Mobility Prediction. 9th International Conference on Mobile Data Management Workshops, pages , Wilfried N. Gansterer, Andreas Janecek, and Peter Lechner. A Reliable Componentbased Architecture for Filtering. In ARES 07: 2nd International Conference on Availability, Reliability and Security, pages IEEE Computer Society, Wilfried N. Gansterer, Andreas Janecek, and Robert Neymayer. Spam Filtering Based on Latent Semantic Indexing. In 5th International Text Mining Workshop 2007 in conjunction with the 7th SIAM Conference of Data Mining. SIAM, 2007.

5 Andreas Janecek and Helmut Hlavacs. Programming Interactive Real-time Games over WLAN for Pocket PCs with J2ME and.net CF. In NetGames 05: 4th ACM SIGCOMM Workshop on Network and System Support for Games, pages 1 8. ACM, PhD Thesis Andreas Janecek. Efficient Feature Reduction and Classification Methods: Applications in Categorization and Drug Discovery. PhD thesis, University of Vienna, Available on-line: