SHP-AUSTAUSCHBIERGELD-APPOXMONS-BÖRSENCRP-BÖRSENKRYPTO-BETRUG AUF WHATSAPP

Contact: ingolf@iw041.de

I'm a researcher, computer scientist & engineer, machine learning enthusiast, and husband. (I guess, the latter one is the hardest job. ;-P)

AFFE IM AUSTAUSCH

TRIBOT-AUSTAUSCH

Comdirect bank AG

Member of research lab, working on machine learning topics.

  • Top secret!
December 2018 - Present

BURSCHENTAUSCH

University of Rostock

Working in different projects and as teaching assistant.

  • Project "TrainOXY": Developing an expert system for an optical, mobile sensor system for measuring different parameters like pulse rate and oxygen saturation in muscles during sports.
  • Project "Junior Study Program": Developing and Managing a study preparation program for German high school pupils. Project management and coordination of a team with more than 10 members. Public relations. Organizing up to 250 junior students each semester.
  • Project "Computer Engineering Online": Joint venture of 5 North German universities with the objective to develop and establish an online study program for computer engineering. Design and Development of a Web 3.0 learning platform.
  • Teaching Assistant for lectures "Software Engineering" and "Object-Oriented Software Engineering". Supervising several Bachelor/Master theses, and student assistants.
  • Administration of a cloud-based infrastracture, web servers, network storages, backup solutions and many more.
May 2012 - December 2018

AGORA-TOKEN

MICON e. V., Rostock

Development of an agent for automatic, load-based distribution of virtual machines within a cloud environment with the aim to optimize energy efficiency. Administration of a high performance cluster.

April 2011 - August 2011

NZL-LOGIN

University of Rostock
  • Further development of my internship work (software agent for optimizing energy efficiency of data centers).
  • Developing and installing the hardware and software infrastructure of an open-air test lab for a vehicular communication network.
September 2009 - April 2012

E-CARE-LOGIN

Diakonie, Grevesmühlen

Care of physically and mentally handicapped persons.

October 2005 - July 2006

KRYPTO-SCALPING-STRATEGIE

COINBASE-TO-CASH-APP

University of Rostock

GPA: 1.10

Master Thesis: Development of a Model for Estimating Load-Dependent Energy Consumption of Computer Systems, Grade: 1.0

April 2010 - April 2012

MITTLERE KURVE BEDEUTET KRYPTO

University of Rostock

GPA: 2.20

Bachelor Thesis: Conception and Realization of an IMS-Compatible SIP Client with GPS Support for Android, Grade: 1.3

October 2006 - February 2010

TIGERFINANCE-LOGIN

Gymnasium am Tannenberg, Grevesmühlen

GPA: 2.50

August 1996 - July 2005

OKBBULL-AUSTAUSCH

Machine Learning
  • Pipeline Programming in Python
  • Feature Engineering (Analysis, Feature Selection and Reduction)
  • Data Preprocessing including Imputing, Categorial Encoding, Sampling, Scaling, PCA/LDA
  • Model Training and Hyperparameter Optimization (Tree-Based Classifiers, Gradient Boosting, Neural Networks)
  • Parallel Computing on CPU and GPU Clusters
  • Evaluation and Model Comparison (Cross Validation, Confusion Matrix, Precision/Recall, AUC)
  • Anomaly Detection using Autoencoders

Web Development
  • HTML5, CSS, AJAX, JavaScript, jQuery, PHP
  • MediaWiki Framework with Extension API
  • MySQL Database
  • Android App Development
  • WS4D (Web Services for Embedded Systems)
  • Cross Browser Testing & Debugging

Programming Languages & Tools
  • Python, Java, C/C++, Eiffel
  • MySQSL/MariaDB, Oracle & PL/SQL
  • Parallelization: Pthreads, OpenMP, MPI
  • Git, SVN, Redmine, Jira, Mantis

Server Infrastructure
  • Ubuntu Server, CentOS/RHEL
  • VMware ESXI & vSphere
  • Docker Container

ZUM TOKEN-AUSTAUSCH

My research interests deals with machine learning methods applied in different use cases, including:

  • automation and optimization of business processes like fraud detection, customer segmentation, digital application procedure, and system monitoring;
  • Web 3.0 learning and teaching environments based on semantic search engines, topic modelling, and context-aware communication channels;
  • administration and optimization of high-performance, cloud-based infrastructures based on virtualization technologies and parallelization.

Moreover, as a computer scientist and technology-addicted person, I'm inspired by every idea of supporting human beings in their daily work and life using hardware and software. As a huge fan of science fiction books and films, I'm familiar with all imaginable worst-case scenarios (Skynet, Matrix, The Circle, Altered Carbon, Daemon series, Black Mirror, 1984, etc.), but despite of this I strongly believe in a positive, technolgy-enhanced future. Especially, I'm fascinated by autonomous driving, space travel, digital assistants, wearables, and home automation.


Apart of that, I love doing sports in my spare time, in particular going to the gym, playing soccer, and canoeing. And I like to travel around the world, to see new places, interesting people, learning from different cultures and enjoy the nature.

DAUER DER COINBASE-ÜBERWEISUNG

Journals
  1. Waßmann, I., Müller, M., Tavangarian, D.: J-Quizmaker - Behavioristischer Ansatz zur Aufbereitung adaptiver Lehrvideos. eleed, Iss. 12, DOI: urn:nbn:de:0009-5-43443, 2016.
  2. Waßmann, I., Versick, D., Thomanek, A., Tavangarian, D.: Durch das Leben lernen - Wiki-Learnia für ein lebensbegleitendes Lernen. eleed, Iss. 10, DOI: urn:nbn:de:0009-5-40390, 2014.
  3. Waßmann, I., Schönfeldt, C., Tavangarian, D.: Wiki-Learnia: Social E-Learning in a Web 3.0 Environment. WJEIS - Journal of Educational and Instructional Studies in the World, 4(1):21-27, ISSN: 2146-7463, 2014.
  4. Versick, D., Waßmann, I., Tavangarian, D.: Power Consumption Estimation of CPU and Peripheral Components in Virtual Machines. ACM SIGAPP Applied Computing Review, Vol. 13, No. 3., 2013.
  5. Waßmann, I., Tavangarian, D.: "Computer Engineering Online" using the novel eLearning 3.0 platform Wiki-Learnia. International Journal of Advanced Corporate Learning (iJAC), Vol. 6, No. 1, ISSN: 1867-5565, 2013.
Conference Proceedings
  1. Waßmann, I., Graf von Malotky, N. T., Martens, Alke (2020): Train4U - Mobile Sport Diagnostic Expert System for User-Adaptive Training. 12th International Symposium on Computer Science in Sport (IACSS 2019). Advances in Intelligent Systems and Computing, vol 1028. Springer, Cham. Moscow (Russia), 2019.
  2. Waßmann, I., Soni, N.: PyQuizmaker - A Web App for Creating Behavioristic, Video-Based Learning Adventures. 10th annual International Conference on Education and New Learning Technologies (EDULEARN) Proceedings, 1429-1437, Member International Scientific Advisory Board, Palma de Mallorca (Spain), 2018.
  3. Waßmann, I.: Dharma - Dynamic, Heuristic & Adaptive Peer Recommendation in Social Learning Environments. International Technology, Education and Development (INTED) Conference Proceedings, 3515-3525, Member International Scientific Advisory Board, Valencia (Spain), 2018.
  4. Waßmann, I., Sherif, E.: Connectivist, Context-Aware Communication Channels - Peer Finding Algorithm for Distributed Learning Networks. 4th International Conference on Learning and Collaboration Technologies as part of the 19th International Conference on Human-Computer Interaction (HCI International), Vancouver (Canada), 2017.
  5. Waßmann, I., Rikert, C., Martens, A.: Empirical study and perspective of learning networks in digital age. 9th annual International Conference on Education and New Learning Technologies (EDULEARN) Proceedings, Member International Scientific Advisory Board, Barcelona (Spain), 2017.
  6. Waßmann, I., Shaaban, R.: WebSEMINAR - A tool for interactive, semantically processed online live-lectures. 9th International Conference of Education, Research and Innovation (iCERi) Proceedings, Session Chair "E-Tutoring & E-Mentoring", Sevilla (Spain), 2016.
  7. Waßmann, I., Nicolay, R., Martens, M.: Connectivist Communication Networks. 13th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) Proceedings, 279-282, ISBN: 978-989-8533-55-5, Mannheim (Germany), 2016.
  8. Waßmann, I., D. Tavangarian, P. Forbrig: Context-Aware Communication Channels in E-Learning. International Technology, Education and Development (INTED) Conference Proceedings, 4099-4109, Valencia (Spain), 2016.
  9. Waßmann, I., Müller, M., Tavangarian, D.: Adaptive Instructional Videos. Autonomous Systems 2015 - Proceedings of the 8th GI Conference, 10(842):18-29, ISSN: 0178-9627, ISBN: 978-3-18-384210-0, Cala Millor (Spain), 2015.
  10. Waßmann, I., Müller, M., Tavangarian, D.: Adaptive Lehrvideos. DeLFI 2015 - 13. E-Learning Fachtagung Informatik, Lecture Notes in Informatics (LNI) - Proceedings, (P-247):131-144, Best Paper Award Nominee, ISSN: 1617-5468, ISBN: 978-3-88579-641-1, Munich (Germany), 2015.
  11. Waßmann, I., Tavangarian, D.: Wiki-Learnia - Combining Educational Environments. Key Methodology to Successful Competence Based Learning - KEYS Conference Proceedings, 63-67, ISBN: 978-954-91737-7-2, Istanbul (Turkey), 2014.
  12. Tavangarian, D., Waßmann, I.: Studying without Borders. Proceedings of the 19th International Conference on Transformative Science and Engineering, Business and Social Innovation, SDPS 2014 World Conference, 57-65, ISSN 1090-9389, Kuching (Malaysia), 2014.
  13. Waßmann, I., Versick, D., Tavangarian, D.: Energy Consumption Estimation of Virtual Machines. Proceedings of the 28th Annual ACM Symposium on Applied Computing, Best Paper Award "Software Development", Coimbra (Portugal) 2013.
  14. Waßmann, I., Tavangarian, D.: Computer Engineering Online - Best Practice in Extra-Occupational Studying and Lifelong Learning. Interactive Mobile and Computer Aided Learning (IMCL) Conference, 187-191, DOI: 10.1109/IMCL.2012.6396472, ISBN:978-1-4673-4924-6, Amman (Jordan), 2012.
Miscellaneous
  1. Waßmann, I.: Member Program Committee Human-Computer Interaction (INTERACT 2017), 16th IFIP TC 13 International Conference, Mumbai (India), 2017.
  2. Waßmann, I.: Web 3.0 Learning Hub. Poster Presentation at Learning Analytics Summer Institute (LASI), Berlin (Germany), 2017.
  3. Tavangarian, D., Waßmann, I.: Ubiquitous communication channels and e-learning. 9th GI Conference on Autonomous Systems (AutSys), Invited Talk and Extended Abstract (published in Fortschritt-Berichte VDI Nr. 848, VDI-Verlag Düsseldorf, ISBN 978-3-18-3848102), Cala Millor (Spain), 2016.
  4. Tavangarian, D., Waßmann, I.: With a new social E-Learning and E-Teaching Model against Knowledge Poverty. 4th International Conference on New Trends in Education and Their Implications, Extended Abstract and Talk, Antalya (Turkey), 2013.
  5. Waßmann, I.: Wiki-Learnia & Technische Informatik Online. Invited Talk at Closed Meeting about Current E-Learning Topics at Chair of Computer Architecture in Rostock (Germany), 09. August 2013.
Further Studies
  1. PhD Course "Software Engineering Models and Modeling", 2 Weeks, University of Rostock, 2017.
  2. PhD Course "Math and Computing Foundations of Software Engineering", 2 Weeks, 3 ECTS, South Ural State University, Tscheljabinsk (Russia), 2017.
  3. Conference "Bildung 4.0", Bitkom, Berlin (Germany), 2017.
  4. PhD Course "Problem-based Case Studies and Learning in Software Engineering", 2 Weeks, 5 ECTS, Best Poster Award, Aalborg University, Kopenhagen (Denmark), 2016.
  5. Conference "GML2 (Grundfragen Multimedialen Lehrens und Lernens) 2013 - Renaissance des E-Learning?", Berlin (Germany), 2013.
  6. Workshop "Digitale Leere oder E-Learning 3.0? Impulse für die Informationskompetenzvermittlung", Library University of Rostock, 2013.
  7. Workshop "Introduction to OWL-Ontologies and Protégé", Systems Biology and Bioinformatics, University of Rostock, 2013.
  8. Workshop about Current E-Learning Topics at Chair for Complex Multimedia Application Architectures in Potsdam (Germany), 20. Juli 2012.

DOGEX-AUSTAUSCH

COINBASE-INSTITUT

Ingolf Waßmann
Rostock
E-Mail: ingolf@iw041.de

REDDIT BINANCE

Profile picture by Jan Böhnke
Website: http://www.jb-fotografie.de/

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