This is a personal page, for which KTH requires a disclaimer in Swedish. With that out of the way, hello, my name is Magnus Boman, welcome, and
I am a professor at KTH since 2003 in Intelligent Software Services. I am affiliated with:
My application area has chiefly been health for the last dozen years, namely computational epidemiology (digital epidemiology), active healthy ageing, and more recently computational psychology (Internet psychiatry). I am currently, with my team, building learning machines for Internet-based cognitive therapies in two projects, one funded by the Swedish Research Council (VR) and one by the Erling-Persson Family Foundation (EP-Stiftelsen). The PI for both is Dr Viktor Kaldo. I also work on patch learning models for emotion-tracking in the human face, funded by the Marianne and Marcus Wallenberg Foundation, with PI being Dr Petri Laukka. Genetic data is analysed using data science in a number of projects, for example with funding from FORTE, with Dr Christian Rück as PI. I am also a member of the Network Intelligence group led by Rebecca Steinert (RISE), contributing to the group's work on time-critical clouds. Finally, I have studied foresight methodology and innovation diffusion in several projects, for example with funding from VINNOVA.
Because of the recent interest in federated learning, I have made my Ph D thesis from 1993 on this topic available again, thanks to the Internet Archive I was able to locate a .ps file from my Web page mid-90s so a PDF can now be found here.
I have previously worked in long (as in >3y) projects on
I am also
Jump down for more on:
Learning Machines (ID2225),
teacher,
course responsible,
examiner
Learning Machines (IK3616),
teacher,
course responsible,
examiner
Research Methodology and Scientific Writing (II2202),
teacher,
assistant,
responsible for Year 1 students in the Data Science programme
Critical Perspectives on Engineering and Construction of ICT Systems (IK3615),
examiner
Philosophy of Science (IC2002),
teacher,
course responsible,
examiner
Philosophy of Science (IV3000),
teacher,
course responsible,
examiner
Research Methodology in Computer Science (FID3023),
teacher,
course responsible,
examiner
Most recent edit by m a b @ k t h . s e on 12 January 2021.
PhD students
I am currently supervising
where Jan is at Stockholm University, and I supervise him through my habilitation degree there.
I also co-supervise the following PhD students, where Nils and Pontus are at Karolinska Institute.
I have had the pleasure of supervising the following people, sorted by their graduation date.
Doctoral thesis
TRITA-EECS-AVL; 2019:85, KTH
December 2019
Doctoral thesis
DSV Report 15-014, Stockholm University
November 2015
Doctoral thesis
DOI: 10.13140/RG.2.1.4749.5206, The Royal Institute of Technology
January 2015
Doctoral thesis
DSV Report 13-006, Stockholm University
October 2013
Doctoral thesis
DSV Report 08-012, The Royal Institute of Technology
December 2008
Doctoral thesis
DSV Report 08-006, The Royal Institute of Technology
May 2008
Doctoral thesis (asst supervisor)
DSV Report 08-001, Stockholm University
February 2008
Doctoral thesis
DSV Report 05-015, The Royal Institute of Technology
SICS Dissertation Series 40
June 2005
Doctoral thesis
DSV Report 05-012, Stockholm University
May 2005
Doctoral thesis (asst supervisor)
Department of Software Engineering and Computer Science, Blekinge Institute of Technology
May 2002
Doctoral thesis (asst supervisor)
Department of Software Engineering and Computer Science, Blekinge Institute of Technology
December 2001
Doctoral thesis
DSV Report 00-004, Stockholm University
May 2000
Current courses
M Sc theses
I always have a stimulating number of master students, which means too many.
But feel free to ask about opportunities nevertheless.
Please do not expect any of the links to theses below to work, but most theses are available in the open portal DIVA.
They are listed in pretty much reverse chronological order (most recent ones on top) and the list is not exhaustive.
For some, I was the examiner and for others the supervisor, but I was actively involved with all of the below theses.
Select publications
ResearchGate, Google Scholar, and other profiles are open and hold (mostly meaningless) quantitative data.
The below list can be roughly categorised into the following five areas.
Computational Epidemiology and Mental Health
Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology
In Miorandi, D.; Maltese, V.; Rovatsos, M.; Nijholt, A. and Stewart, J. (eds.), Social Collective Intelligence,
Computational Social Sciences, Springer, pp. 203-225 (PDF)
On Understanding Catastrophe: The Case of Highly Severe Influenza-Like Illness
Presented at the 2011 IJCAI WS on Link Analysis in Heterogeneous Networks (PDF)
Learning Machines in Internet-Delivered Psychological Treatment
Progress in Artificial Intelligence 8(4):475-485
(PDF)
Syndromic surveillance in the United Arab Emirates
In Innovations in Information Technology (IIT),
pp. 31-35, IEEE Xplore, doi: 10.1109/INNOVATIONS.2012.6207758
(PDF)
Toward Learning Machines at a Mother and Baby Unit
Frontiers in Psychology 11
(PDF)
Social network visualization as a contract tracing tool
In Jennings, N. et al. (eds.), Proc 1st Intl WS on Agent Technology for Disaster Management, 131--133, Hakodate, Japan. (PDF)
Learning Machines for Computational Epidemiology
1st Workshop on Computational Epidemiology, Proc IEEE Big Data, pp. 1-5.
(PDF)
Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games
Proc Digital Games Research Association (DiGRA), Tokyo, September 2007. (PDF)
Micro-Simulation of a Smallpox Outbreak using Official Register Data
Eurosurveillance, 15(35).
REF: Euro Surveill. 2010;15(35):pii=19651. PMID: 20822732 [PubMed - indexed for MEDLINE]. (PDF)
Economic consequences to society of pandemic H1N1 influenza 2009: Preliminary results for Sweden
Eurosurveillance, 14(37)
REF: Euro Surveill. 2009;14(37):pii=19333. PMID: 19761738 [PubMed - indexed for MEDLINE]. (PDF)
A Workflow for Software Development within Computational Epidemiology
Journal of Computational Sciences, 2(3):216-222. DOI: 10.1016/j.jocs.2011.05.004. (PDF)
Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety using only Weekly Symptom Measures
Journal of Consulting and Clinical Psychology
88(4), 311-321. https://doi.org/10.1037/ccp0000462 (Online First)
Data Analytics
Risk and crises management in complex systems
Chapter 16 in Liljenström, H. and Svedin, U. (eds.), Micro-Meso-Macro: Adressing Complex System Couplings, 305-316, World Scientific.
The Joy of Mesh, British Medical Journal, 337:a2500.
Conceptual Modelling, Prentice-Hall.
Supporting Global Health Goals with Information and Communications Technology
Global Health Action 10(sup3): 1321904. DOI 10.1080/16549716.2017.1321904
(PDF)
Sensemaking in Intelligent Health Data Analytics
Künstliche Intelligenz 29: 143-152. DOI 10.1007/s13218-015-0349-0
(PDF)
The Blogosphere at a Glance: Content-Based Structures Made Simple
Presented at the IJCAI WS on Social Web Mining.
(PDF)
Knowing Your Population: Privacy-Sensitive Mining of Massive Data
Network and Communication Technologies, 2(1):34-51. DOI: 10.5539/nct.v2n1p34. (PDF)
Networked Foresight and Management Science
Insights into promising ICT-related developments and trends
EIT Digital Innovation Radar, 2014 Annual Trend Report
(PDF)
Active Healthy Ageing
White Paper, Health and Wellbeing, TR2014-004, EIT Digital (PDF)
Future Media Distribution
Technical Foresight Report, TR2013-00x, EIT ICT Labs (PDF)
Digital Cities
White Paper, EIT ICT Labs (PDF)
Insights into promising ICT-related developments and trends
EIT ICT Labs Innovation Radar, Annual Trend Report 2013
(PDF)
Mediated Futures
Technical Foresight Report, TR2013-002, EIT ICT Labs
(PDF)
Circles of Impression: External Foresight in Global Enterprises
In D. A. Schreiber and Z. L. Berge (eds.), Futures Thinking and Organizational Policy, pp. 179-199, palgrave macmillan
(PDF)
General Risk Constraints
Journal of Risk Research 4(1): 31-47 (PDF)
Networked foresight: The case of EIT ICT Labs
Technological Forecasting and Social Change 101: 147-164. DOI: 10.1016/j.techfore.2014.02.002.(PDF)
Value Creation from Networked Foresighting in the EIT ICT Labs
In Proc Innovating in Global Markets: Challenges for Sustainable Growth Conference, Helsinki, Finland, June 2013, ISPIM.
Beyond Textbooks: Digital Learning Resources as Systemic Innovation in the Nordic Countries
Appointed expert writing assignment, country case study: Iceland.
Seamless mobility: More than it seems
INFO 6(3): 169-171.
Artificial Intelligence and Multi-Agent Systems
Agent-Based Social Simulation in Markets
Electronic Commerce Research 1(1-2): 149-158
Norms in artificial decision making
Artificial Intelligence and Law 7: 17-35. PDF
Towards artificial decision making
Robotics and Autonomous Systems 24(3-4): 89-91.
Implementing norms through normative advice
In Conte, R. and Falcone, R. (eds.), Proc ICMAS96/IMSA96 Workshop on Norms, Obligations, and Conventions.
A logical specification of federated information systems, Ph D thesis, DSV Report 93-019-DSV, Stockholm Univ. (PDF).
Formal representation of the reasoning of intelligent agents by means of epistemic and doxastic modal propositional logic
M Sc thesis, DSV Report WP153, Stockholm Univ.
UBU: Utility-based uncertainty handling in synthetic soccer
In Asada, M. and Kitano, H. (eds.), RoboCup-98; Robot Soccer World Cup II, 352-357, LNCS 1604, Springer-Verlag.
UBU: Pronouncers in RoboCup teams
In Kitano, H.; Seet, G. and Jagannathan, K. (eds.), Proc Pacific Rim International Conference on Artificial Intelligence,
Workshop on RoboCup, 117-122.
An anticipatory multi-agent architecture for socially acceptable action
In Pagello, E.; Groen, F.; Arai, T.; Dillmann, R. and Stentz, A. (eds.),
Intelligent Autonomous Systems 6, 744-750, IOS Press.
Artificial decision making under uncertainty in intelligent buildings
Proc UAI'99, Laskey & Prade (eds.), pp.65-70, Morgan Kaufmann
Decision making agents with relatively unbounded rationality
In Nawarecki (ed.), Proc DIMAS95, I/28--I/35, AGH, Krakow
Eliminating paraconsistencies in 4-valued cooperative deductive multidatabase systems with classical negation
In Deen, M. (ed.), Proc Cooperating Knowledge Based Systems, 161--176, Keele Univ Press.
Multi-agent systems, time geography, and microsimulations
Chapter 4 in Olsson, M-O. and Sjöstedt, G., eds., Systems Approaches and their Application, 95--118, Kluwer Academic (PDF)
Axiomatic epistemic systems for federated information systems.
In Prakash, N. (ed.), Data Management, 195--213. McGraw-Hill.
Epistemic logic as a framework for federated information systems.
In Deen, M. (ed.), Cooperating Knowledge Based Systems, 255--270. Springer-Verlag.
Parrondo strategies for artificial traders
In Zhong, N.; Liu, J.; Ohsuga, S. and Bradshaw, J. (eds.), Proc IAT'01, pp. 150--159, World Scientific
Team Sweden
In Veloso, M. M.; Pagello, E. and Kitano, H. (eds.), RoboCup-
99: Robot Soccer World Cup III, 784-787, LNCS 1856, Springer-Verlag.
Learning Machines
Proc Learning, Inference and Control of Multi-Agent Systems, AAAI Spring Symposium Series, Stanford Univ, pp. 610--613 (PDF)
Implementing an Agent Trade Server
Decision Support Systems, 42(1): 318--327 (PDF)
Social intelligence as norm adaptation
Proc workshop on Socially Situated Intelligence, Dautenhahn, K. and Edmonds, B. (eds.), part of 5th Intl Conf on Simulation of Adaptive Behavior (PDF)
Narrative Bridging
In Design Computing and Cognition '10, Gero, J.S. (ed.), pp. 525-544, Springer-Verlag (PDF)
A Computational Agent Model of Flood Management Strategies
In: Computational Methods Applied to Agricultural Research: Advances and Applications,
do Prado, H.A.; Luiz, A.J.B.; Filho, H.C. (eds.), pp. 296-307, IGI Global.
(PDF)
Distributed Monitoring and Control of Office Buildings by Embedded Agents
Information Sciences 171: 293-307 (PDF)
A tool for coordinating autonomous agents with conflicting goals
In Lesser, V. (ed.), Proc ICMAS95, pp. 89--93, AAAI/MIT Press
Imposing security constraints on agent-based decision support
Decision Support Systems 20(1): 3-15
From local assessments to global rationality
Intelligent and Cooperative Information Systems 5(2&3): 315-331
(PDF)
The Scalability of Trustless Trust
In Financial Cryptography and Data Security, pp. 279-293, Zohar, A et al. (eds.), LNCS, Volume 10958, Springer Verlag.
(PDF)
A Fielded Machine Learning System for Vocational Counselling
Applied Artificial Intelligence 8(4): 543-563
Anticipatory Guidance of Plot
In Butz, M.; Sigaud, O. and Gerard, P., eds., Anticipatory Behavior in Adaptive Learning Systems. Springer-Verlag, LNAI2684
pp. 243--261 (PDF)
Agent trade servers in financial exchange systems
ACM Transactions on Internet Technology 4(3): 329--339 (PDF)
Mobile access to real-time information - The case of autonomous stock brokering
Personal and Ubiquitous Computing 8: 42--46 (PDF)
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
IEEE Access 8: 120388--120416 (Open access)
Logic, Mathematics, and Physics
A survey of provability logic
DSV Internal Working Note 46
Abstrakta maskiner och formella språk
Studentlitteratur. In Swedish.
Modeling reservoir computing with the discrete nonlinear Schrödinger equation
Phys. Rev. E 98: 052101
Algebras for agent norm-regulation
Annals of Mathematics and Artificial Intelligence, 42(1-3): 141--166 (PDF)
Analytical expressions for Parrondo games
Fluctuation and Noise Letters 2(4): L343--L348 (PDF)
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