According to ResearchGate (achieved on April 1, 2020) (https://www.researchgate.net/profile/Lazar_Rusu/achievement/5eabcb74b49c1519340fadc0), Professor Lazar Rusu’s research items were the most cited research items from his department (Department of Computer and Systems Sciences at Stockholm University).
Book Review in Journal of Global Information Technology Management and Papers Published in Proceedings of HICSS-53, UKAIS 2020, and Lecture Notes in Business Information Processing (LNBIP)
The book written by Georg Hodosi and Lazar Rusu and entitled “Risks, Relationships, and Success Factors in IT Outsourcing: A Study in Large Companies” published in 2019 by Springer Nature, Cham, Switzerland has been reviewed in Journal of Global Information Technology Management, 23(2), pp. 169-170, 2020
A paper written by Gideon Mekonnen Jonathan, Lazar Rusu, and Erik Perjons and entitled “Business-IT Alignment in the Era of Digital Transformation: Quo Vadis?”, has been published in Proceedings of 53th Hawaii International Conference on Systems Sciences (HICSS-53), pp. 5563-5572, 2020
A paper written by Gideon Mekonnen Jonathan, Lazar Rusu, and Erik Perjons and entitled “Organisational structure’s influence on IT alignment in a public organisation: A confirmatory case study analysis”, has been published in Proceedings of the 25th UK Academy for Information Systems Conference (UKAIS), Paper 12, ISSN: 978-0-9560272-2-1, 2020
A paper written by Gideon Mekonnen Jonathan and entitled “Digital Transformation in the Public Sector: Identifying Critical Success Factors” has been published in M. Themistocleous, and M. Papadaki (Eds.) EMCIS 2019, LNBIP 381, pp. 223-235, Springer, 2020
A paper written by Gideon Mekonnen Jonathan, Lazar Rusu, and Erik Perjons and entitled “Organisational Structure’s Influence on IT Alignment: The Case of a Public Organisation” has been published in M. Themistocleous, and M. Papadaki (Eds.) EMCIS 2019, LNBIP 381, pp. 471-485, Springer, 2020
A paper written by Georg Hodosi, Alexander Stark, Eric van Beers, and Lazar Rusu and entitled “Factors for Successful IT Outsourcing Relationships in Large Companies in Sweden: A Service Buyer’s Perspective” has been published in M. Themistocleous, and M. Papadaki (Eds.) EMCIS 2019, LNBIP 381, pp. 486-497, Springer, 2020
A paper written by Jobarteh, Ebrima, Neha Agrawal, and Lazar Rusu and entitled: “Barriers in Business-IT Alignment in the Banking Sector in a Developing Country: A Case Study of Commercial Banks in the Gambia” has been published in M. Themistocleous, and M. Papadaki (Eds.) EMCIS 2019, LNBIP 381, pp. 498-511, Springer, 2020
Gideon Mekonnen Jonathan’s Licentiate Seminar
On May 11, 2020 our colleague Gideon Mekonnen Jonathan, PhD student in IT Management and Governance group at DSV/Stockholm University has defended successfully his licentiate thesis entitled: “Information Technology Alignment: The Role of Organizational Structure”. His licentiate thesis is available at the following link in DiVA: http://www.diva-portal.org/smash/get/diva2:1423531/FULLTEXT01.pdf On behalf of research group in IT Management and Governance, I would like to congratulate Gideon Mekonnen Jonathan for this achievement.
The Workshop NLP: mining clinical notes in EHR systems in Tromsø
Hercules and I recently had the opportunity to attend and present at a workshop in clinical text mining on March 10 in Tromsø. The workshop NLP: mining clinical notes was arranged by The Norwegian Center for E-health Research.
During the workshop, Hercules gave a presentation on why NLP is needed. I gave a presentation on De-identification of text in electronic health records, and the Stockholm University master student Synnøve Bråten presented her current master thesis work on creating a synthetic Norwegian reference standard for de-identification. Sumithra Velupillai and Natalia Viani, from King’s College London, presented different NLP problems for clinical research and how to set up a clinical NLP research study.
PhD Student Mahbub Ul Alam Received the Best Paper Award at BIOSTEC HEALTHINF 2020
Hello Everyone,
Greetings. I hope you are well. I would like to share some very good news with you.
I presented a research paper entitled ‘Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis‘ at the 13th International Conference on Health Informatics (HEALTHINF), Malta, Valletta, 24-26 February 2020. HEALTHINF is part of BIOSTEC, the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. It was organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC).
The paper won the HEALTHINF 2020 Best Paper Award. The decision criterion considered both the paper quality (assessed by the Program Committee), and the oral presentation quality (feedback given by session chairs at the conference venue). Overall it was an enjoyable experience, and I learned a lot from all.
Want to know more about the paper or sepsis in general? Please check out the following presentation video I made!
Abstract:
Sepsis is a life-threatening complication to infections, and early treatment is key for survival. Symptoms of sepsis are difficult to recognize, but prediction models using data from electronic health records (EHRs) can facilitate early detection and intervention. Recently, deep learning architectures have been proposed for the early prediction of sepsis. However, most efforts rely on high-resolution data from intensive care units (ICUs). Prediction of sepsis in the non-ICU setting, where hospitalization periods vary greatly in length and data is more sparse, is not as well studied. It is also not clear how to learn effectively from longitudinal EHR data, which can be represented as a sequence of time windows. In this article, we evaluate the use of an LSTM network for early prediction of sepsis according to Sepsis-3 criteria in a general hospital population. An empirical investigation using six different time window sizes is conducted. The best model uses a two-hour window and assumes data is missing not at random, clearly outperforming scoring systems commonly used in healthcare today. It is concluded that the size of the time window has a considerable impact on predictive performance when learning from heterogeneous sequences of sparse medical data for early prediction of sepsis.
Best Paper Award Certificate
Receiving Award from the Program Chair Dr. Fedrico Cabitza
Rebecka Weegar’s defence of her PhD-thesis “Mining Clinical Text in Cancer Care”
Rebecka Weegar defended today January 27, 2020, successfully her PhD thesis , with the title Mining Clinical Text in Cancer Care. Opponent were Associate professor Lilja Øvrelid at Department of Informatics University of Oslo.
Nailing of Rebecka Weegar’s thesis
Rebecka Weegar nailed today her PhD-thesis with the title Mining clinical text in cancer care.
Jury member of the PhD defence of Tim Huygh at University of Antwerp, Belgium
On December 5, 2019 I have been a jury member in the PhD defence of Tim Huygh at University of Antwerp, Belgium. His PhD thesis is entitled “Understanding IT Governance: Conceptualization and Enabling IT Business Value”. The abstract of this PhD thesis is included below together with a picture after this PhD defence with Tim Huygh, Steven De Haes (as Tim Huygh’s PhD supervisor) and the jury members.
Understanding IT Governance: Conceptualization and Enabling IT Business Value
Date: 5 December 2019
Venue: Master Aula André Leysen 001.B – Antwerp Management School, Boogkeers 5 – 2000 Antwerp
Time: 4:00 PM
PhD candidate: Tim Huygh
Principal investigator: Prof Steven De Haes
Short description: PhD defence Tim Huygh – Faculty of Business and Economics
Abstract
An increasing (operational and strategic) dependence on IT for organizations results in a growing need for effective IT governance. Effective IT governance effectuates appropriate control over an organization’s current and future IT use, as to enable the creation and protection of IT business value. However, the research domain of IT governance is somewhat hampered by a lack of theoretical underpinnings for IT governance, which makes it difficult to explain from a theoretical perspective how effective IT governance should be organized and why.
In response, this PhD thesis investigates the concept of IT governance through Beer’s Viable System Model (VSM). In that context, the research that was conducted serves multiple purposes. First, an organizing logic for IT governance is articulated that is grounded in the VSM and informed by extant IT governance research. Second, extending the discussion beyond the conceptual level, two in-depth case studies are presented that demonstrate how the VSM can be used as a lens for describing and diagnosing IT governance in practice. Third and finally, four empirical IT governance-related research studies are presented that are inspired by the VSM-based organizing logic for IT governance, which demonstrates that this logic can provide structure and theoretical underpinnings to IT governance-related empirical research.
For academics, this thesis contributes to the theoretical discourse on IT governance. It answers the question why IT governance can continue to fulfil its general purpose of creating and protecting IT business value. Furthermore, it provides strong theoretical underpinnings for how to organize effective IT governance. For practitioners, this thesis shows how the VSM can be used as a lens to describe and diagnose IT governance in practice. Furthermore, it provides insights on the IT governance mechanisms and practices that may be used to instantiate the required functions of an IT governance arrangement.
Link: https://www.uantwerpen.be/en/research-groups/management-information-systems/
