Information and Communication Management
Dr.-Ing. Max-M. Theilig
Career
Senior Researcher and project manager at the chair of ICT management at the Technische Universität Berlin concercing the fields of IT & eHealth, after doing a doctorate in the corresponding field. Before that, he studied Industrial Engineering and Management (M. Sc.) at the TU Berlin with specialization in health technology and (B.Sc) with specialization in Electrical Engineering as well as Information and Communication Management. Focus on software development, IT services, data analysis and quality management.
| September 2020 | Received a doctoral degree in Engineering (Dr-Ing.) on the topic of "Data Driven Information Systems Development for Health-Positive Behavior and Mental Wellbeing - Yielding Synergies from Utilizing Health Data, Mobile Services, and Artificial Intelligence" |
| Since Februar 2017 | Research scientist at the chair of Information and Communication Management of the Technical University Berlin (Prof. Dr. Ruediger Zarnekow) |
| 2018 – 2020 | Research Fellow at Northwestern University - The Feinberg School of Medicine. Collaborating with the Center for Behavioral Intervention Technologies (CBITs), www.cbits.northwestern.edu/. Data Science and Machine Learning for digital mental health. |
| 2016/2017 | IT-System developer at Air Berlin PLC & Co. Luftverkehrs KG |
| 2015/2016 | Research associate at Fraunhofer Heinrich Hertz Institute for Communication Networks, Berlin, department Photonic Components, research group Detectors |
| 2014 | Master thesis on „Quality system development for optical semiconductor detectors by application of empirical Six-Sigma theory“ |
| 2011 – 2014 | Scientific assistant and research associate at Fraunhofer Heinrich Hertz Institute for Communication Networks, department Photonic Components; Software and database development for analysis and process optimization |
Projects
I. SELFPASS
- Design of a therapeutic platform for an individual patient-orientated self-management system for patients with depressions
- SELFPASS web presence
II. Open Integration Hub
- Development of an open source integration platform with master data management for hybrid application scenarios in SMEs
- OIH Web-Auftritt
III. Supervision of practical student projects with industry collaboration
- API Management for agile Process Optimization – Statistance
- Logistic Use Cases for B2B & B2C Utilization – Zalando SE
- Data Warehouse Development for ETL – Sendinblue
Performance and Mobile App Development for SaaS – Sendinblue (ehemals Newsletter2Go) - Near-Time Data Integration for Platform & Product Availability – Foodly
- Data Science & Machine Learning for IoT – Conrad Connect
- Web Crawling Frameworks – KW-Commerce
Teaching
- Since WS 19/20: eHealth Foundations
- SS 17 - SS 20: (Advanced) Distributed Systems Prototyping (ICM)
formerly Practical Project Application System - WS 16/17 - WS 19/20: IT Service Management (ITSM)
Publications
2020
Theilig,
M.
(2020,
Mar.).
"Blockchain Development for Increased Transparency and Novel Incentives Structures with Wearables in mHealth"
,
14. Internationale Tagung Wirtschaftsinformatik (WI)
.
Theilig,
M.,
Werner,
J.,
Schoffke,
F., &
Zarnekow,
R.
(2020,
Feb.).
"The Case for mHealth Standardization for Electronic Health Records in the German Healthcare System"
in Information Systems
,
Papadaki, Maria and Themistocleous, Marinos and Kamal, Muhammad, Eds.
Cham
:
Springer International Publishing
2019
Theilig,
M.,
Korbel,
J. J.,
Mayer,
G.,
Hoffmann,
C., &
Zarnekow,
R.
(2019,
Dec.).
"Employing Environmental Data and Machine Learning to Improve Mobile Health Receptivity"
,
IEEE Access
,
7
(20),
Open Access
.
Liu,
T.,
Nicholas,
J.,
Theilig,
M.,
Guntuku,
S. C.,
Kording,
K.,
Mohr,
D. C., &
Ungar,
L.
(2019,
Nov.).
"Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity"
,
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
,
3
(4),
145:1–145:23.
ACM
.
- DOI
- 10.1145/3369820
Kropp,
L. A.,
Korbel,
J. J.,
Theilig,
M., &
Zarnekow,
R.
(2019,
06).
"Dynamic Pricing of Product Clusters: A Multi-Agent Reinforcement Learning Approach"
,
Proceedings of the 27th European Conference on Information Systems (ECIS)
.
- ISBN
- 978-1-7336325-0-8