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Daniel Kohlsdorf
Data Scientist, Machine Learning Enthusiast and Programmer


CV

Doctoral Thesis 2015
Data Mining In Large Audio Collections Of Dolphin Signals
Committee:
Prof. Dr. Thad Starner ( Georgia Tech )
Prof. Dr. Irfan Essa ( Georgia Tech )
Prof. Dr. Charles Isbell ( Georgia Tech )
Prof. Dr. Denise Herzing ( Wild Dolphin Project / Florida Atlantic University )
Prof. Dr. Michael Beetz ( University Bremen )

Diploma Thesis 2011:
Motion Gesture: False Positive Prediction and Prevention
Winner of the Contact Software Prize
Advisors:
Prof. Dr. Michael Lawo ( University Bremen ),
Prof. Dr. Thad Starner ( Georgia Tech )

Jobs
  • Xing AG - Data Scientist (Recommender Systems, Natural Language Processing, Job Recommendations) (current)
  • University Bremen - Research Assistant in Summer Semester (Machine Learning for Robots) 2013-2014
  • Georgia Tech - Graduate Research Assistant (Machine Learning, Perception, Dolphin Communication and Behavior) 2012 - Aug 1015
  • University Bremen - Researcher (Multi Agent Systems, Data Mining) 2011 - 2012
  • Team Neusta - Software Developer (iOS, Android, JBoss) 2011 - 2012
  • University Bremen - Student Researcher (Wearables, Data Mining, Gesture Recognition) 2007 - 2011
Journal Publications
  • Daniel Kohlsdorf, Denise Herzing and Thad Starner Methods for Discovering Models of Behavior: A Case Study with Wild Atlantic Spotted Dolphins, Animal Behavior and Cognition, November 2016 [pdf]
  • Daniel Kohlsdorf, Thad Starner: MAGIC Summoning: Towards automatic suggesting and testing of gestures with low probability of false positives during use, Journal of Machine Learning Research, Volume 14, 2013 [pdf]
    Also Available as a book chapter: Gesture Recognition
  • Claas Ahlrichs, Daniel Kohlsdorf, Michael Lawo, Gerrit Kalkbrenner: IT-ASSIST: Towards usable applications for elderly people, International Journal of Ambient Computing and Intelligence, 2011
International Conferences
  • Abel, Deldjoo, Elahi, Kohlsdorf: "RecSys Challenge 2017: O line and Online Evaluation", RecSys 2017, 2017
  • Abel, Benczúr, Kohlsdorf, Larson, Pálovics: "RecSys Challenge 2016: Job Recommendations", RecSys 2016 , 2016
  • Daniel Kohlsdorf, Denise Herzing, Thad Starner: Feature Learning and Automatic Segmentation for Dolphin Communication Analysis, Interspeech16, 2016
  • Tamas Motajcsek, Jean-Yves Le Moine, Paolo Cremonesi, Kristaps Dobrajs, Frank Hopfgartner, Franca Garzotto, Ayse Goeker, Daniel Kohlsdorf, Andrew Demetriou, Martha Larson, Andreas Lommatzsch, Davide Malagoli, Ngoc Nguyen Thuy, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Domonkos Tikk, Marko Tkalcic, Anna Zacchi and Omar Alonso: Algorithms Aside, Recommendation as the Lens of Life Recsys16, 2016
  • Andrei Haidu, Daniel Kohlsdorf, Michael Beetz: Learning Action Failure Models from Interactive Physics-based Simulations, IROS 2015, 2015
  • James Clawson, Thad Starner, Daniel Kohlsdorf, David Quigley, Scott Gilliland: Texting While Walking: An Evaluation of Mini-QWERTY Text Input while On-the-Go, Mobile HCI, Will be published 2014
  • Andrei Haidu, Kohlsdorf Daniel, Michael Beetz: Learning Task Outcome Prediction for Robot Control from Interactive Environments, IROS 2014, 2014
  • Daniel Kohlsdorf, Thad Starner, Celeste Mason, Denise Herzing: Probabilistic Extraction and Discovery of Fundamental Units in Dolphin Whistles, ICASSP 2014, 2014
  • Daniel Kohlsdorf, Scott Gilliland, Peter Presti, Thad Starner, and Denise Herzing: An Underwater Wearable Computer for Two Way Human-Dolphin Communication Experimentation, ISWC13, 2013
  • Daniel Kohlsdorf, Thad Starner, Daniel Ashbrook: MAGIC 2.0: A Web Tool for False Positive Prediction and Prevention for Gesture Recognition Systems , FG' 11, 2011
  • Kevin Huang, Daniel Kohlsdorf, Claas Ahlrichs, Thad Starner, Rüdiger Leibrandt, Ellen Do: Mobile Music Touch: Mobile Tactile Stimulation For Passive Learning, CHI2010 Proceedings, 2010
  • Daniel Kohlsdorf, Thad Starner: Mobile Music Touch: The Effect of Primary Tasks on Passively Learning Piano Sequences, ISWC 2010, 2010
  • Dominik Elsbroek, Daniel Kohlsdorf, Dominik Menke, Lars Meyer: FIDIUS: Intelligent Support for Vulnerability Testing Proceedings of SecArt2011, 2011
  • Daniel Kohlsdorf, Michael Lawo, Michael Boronowsky: A Mobile Application for Survey Reports: An Evaluation, HCI Proceedings, 2009
  • Daniel Kohlsdorf, Michael Lawo, Claas Ahlrichs: IT-ASSIST: Digital Media for elderly people, DAI09 Proceedings, 2009
German Conferences
  • Claas Ahlrichs, Daniel Kohlsdorf, Gerret Kalkbrenner Michael Lawo IT-ASSIST: Entwicklung eines IT-gestützten Assistenzsystems für ältere Menschen, 5ter Deutscher AAL Kongress, Will be published 2011
  • Daniel Kohlsdorf, Michael Lawo, Hendrik Iben, Erik Koch: Nutzerstudie zur Evaluierung des Scipio Handschuhs und des Nintendo Wii Controlers, Berliner Mensch Maschine Werkstadt Proceedings, 2009
  • Michael Lawo, Claas Ahlrichs, Gerret Kalkbrenner, Daniel Kohlsdorf: Nutzerschnittstelle für die Zielgruppe der über 70 jährigen, Tagungsband der eHealth2010,2010
  • Claas Ahlrichs, Daniel Kohlsdorf, Michael Lawo: Google earth im Handumdrehen, vielmehr08 Proceedings, 2008
Press
  • National Geographics article about our work with the wild dolphin project [Online Article]
  • Outside Magazine 2012, September Issue: Talk to Me, I am mentioned for work on my Dolphin Vocalization work with Stewart Butler and Thad Starner. [online article]
Invited Talks
  • RecSysNL Meetup September 2016 [Link] [Slides]
  • Get on with it! Recommender system industry challenges move towards real-world, online evaluation European Conference on Information Retrieval [Slides]
  • Discovering Everyday Languages, Dagstuhl Seminar: Human Activity Recognition in Smart Environments, 2012, [Link]
  • Motion Gesture: False Positive Prediction , First International Workshop on Algorithmic Intelligence 2011
Reviewing and Community Services
  • AAAI Review 2018
  • Transactions of Interactive Intelligent Systes 2017
  • Interspeech Review 2017
  • IUI Review 2017
  • ICASSP Review 2017
  • AAAI Review 2017
  • ISWC Review 2016
  • Interspeeech Review 2016
  • Organiser of the Recommender Systems Challange 2017
  • Organiser of the Recommender Systems Challange 2016 organized by the Xing AG
  • Transactions on Accessible Computing 2015
  • Marine Mammal Science Review 2015
  • ISWC 2014 Reviews
  • Helping on ECCV 2014 reviews
  • ACM Transactions on Interactive Intelligent Systems 2013
  • Transactions on Knowledge and Data Engineering 2013
  • ISWC 2013
  • MobileHCI 2013
  • ISWC 2012 Reviewing papers for sensing and gestures
  • Helping on Review for Transactions on Knowledge and Data Engineering
Teaching
  • Guest Lecture about Recommender Systems at University Lueneburg, Jan 2017
  • Georgia Tech, Fall 2014: Artificial Intelligence, CS 6601 Teaching Assistant
  • Georgia Tech, Fall 2013: Artificial Intelligence, CS 6601 Teaching Assistant
  • University Bremen, Winter Semester 2011: Tutorium Suche, Künstliche Intelligenz (Artificial Intelligence, TA for search algorithms)
  • Gatech Spring, Spring Semester 2012: Guest Lecture on Activity Discovery, (Artificial Intelligence, CS 6601)
  • Gatech Spring, Winter Semester 2012: "Fun with unlabeled sequential data" Guest Lecture on Motif Discovery and False Positive Prediction in Gesture System. (Artificial Intelligence, CS 6601)
Skills
  • Machine Learning
  • Computer Vision
  • Speech Recognition
  • Data Mining
  • Text Mining and Information Retrieval
  • Wearable and Mobile Computing
  • Artifical Intelligence
  • Programming: Scala/Java/Cpp/Python/
  • Web Dev: Ruby on Rails / Play Framework
  • Big Data: Hive, Spark, Elastic Search
  • Mobile Dev: Android / iOS
  • Data Science Frameworkd: Tensorflow, HTK, LibLinear, XGBoost, Word2Vec
Certificates
  • Neural Networks and Deep Learning by deeplearning.ai on Coursera. Certificate earned on August 14, 2017 [pdf]
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai on Coursera. Certificate earned on August 16, 2017 [pdf]
  • Structuring Machine Learning Projects by deeplearning.ai on Coursera. Certificate earned on August 14, 2017 [pdf]
  • Convolutional Neural Networks by deeplearning.ai on Coursera. Certificate earned on November 3, 2017 [pdf]
Classes Taken at Georgia Tech
  • Artificial Intelligence
  • Probabilistic Graphical Models
  • Complexity and Computability
  • Bio Informatics
  • Advanced Internet Computing and Applications
  • Introduction to Graduate Studies
  • Data Analysis and Machine Learning
  • Computer Vision
  • Pattern Recognition
  • Cognitive Psychology
  • Neuro Imaging
Classes Taken at University Bremen
  • Programming 1 - Java OOP
  • Programming 2 - Algorithms in Java
  • Programming 3 - Haskell functional programming
  • Math 1 - Logic and Linear Algebra
  • Math 2 - Analysis
  • Theoretical Computer Science 1 - Automata and Languages
  • Theoretical Computer Science 2 - Algorithms, Complexity and Computability
  • Introduction to Artificial Intelligence
  • Logic - Theory and Prolog programming
  • Algorithm Engineering
  • Technical Computing 1 - Architecture
  • Technical Computing 2 - Operating Systems
  • Agile Web Development in Ruby on Rails
  • Networking
  • Bio Inspired Pattern Recognition
  • Soft Computing
  • Realtime Computer Vision
  • Wearable Computing
  • Computer Security
  • Syntactical Methods of Image Creation
  • Computer Games and Interactive Installations
  • Web 2.0 Frontend Development
  • Ethics in Computing
  • Methods and Tool in AI
  • Computer Music
  • Software Engineering
  • Data Bases