Blerim EmruliSenior Lecturer
Research areas and keywords
- artificial intelligence, decision support systems, business intelligence
My research journey started in 2008 by studying a MSc with a focus in Artificial Intelligece (AI) at Dalarna University, continuing to Luleå University of Technology for a PhD in Technology with a focus in AI, next moving to RISE SICS in Västerås as Senior Researcher with a focus in Machine Learning and AI, and then completing a PostDoc in Computer Science at Malmö University with a focus in Machine Learning and IoT. Moreover, during my PhD studies I have been a visiting researcher at Monash University and University of California, Berkeley. Further, I have served as a reviewer, associate editor and member of organizing committee in various conferences and journals, including the International Joint Conferences on Artificial Intelligence (IJCAI), European Conference on Information Systems (ECIS) and Conference on Artificial General Intelligence.
I view Information Systems from the lens of a fusion and entanglement between ICT and human/organizational activities that lead to digital transformation, automation and business development.
I have been involved on-and-off in teaching since September 2007 in two countries and four institutions, and thus far I have taught courses within Computer Science and Information Technology and always with focus a on programming, data and mathematics (statistics, in particular), such as beginner and advanced programming courses, database technology (SQL and NoSQL), business information systems (business informatics), decision support systems, business intelligence, and artificial intelligence. Moreover, I have held multiple roles, including teaching assistant, lecturer, course responsible (includes examination) for courses totalling about 40 students, thesis supervisor and examinator; and hold experience from course design and development from scratch both at basic and advanced levels.
Currently, within the Department of Informatics at LUSEM, I am course responsible (includes examination) and main lecturer for the Decision Support Systems (INFC35), and Business Intelligence (INFN45) and Business and Artificial Intelligence (INFN65) courses at BSc and MSc level, respectively. A distinctive feature of all these courses is that they help in addressing the need to educate data- and AI-literate generation by being grounded in solid theoretical foundations, addressing real-world projects and using practitioner-oriented tools. Moreover, every year, I supervise and examine students for bachelor's and master's thesis, which is an additional teaching activity that I enjoy doing.
Otherwise, I am keen on maintaining and promoting high quality in higher education and am continuously engaged in cutting-edge training and development activities that relate to pedagogy in higher education. For example, I have finished four courses in higher education teaching and learning (totalling to 22 ECTS), the latest being "Course design in higher education" 4.5 ECTS from the Division for Higher Education Development of Lund University in June 2020. Currently, I am in a process of further adapting my courses for distance education by embracing evidence-based online and blended learning models in order to create more interactive, enriched and sustainable teaching and learning.
In particular, for the courses I'm responsible, I'm keen to design and update them from the perspective that "jobs and education go hand in hand", which has led me to boost the collaboration with local industry experts from the region of Scania, with a focus on the city of Lund and Malmö. Just to mention a few, I deepen our collaboration as a department with Qlik via their fantastic Academic Program, Orango AB, DXC Technologies, Knowit, KNIME, and Peltarion. For example, I invite industry experts for guest lectures, and during some of the computer labs, I invite them also to lead the labs (virtually) based on the content that we have discussed together and agreed beforehand.
The task as a researcher to summarize and share research outcomes in various venues, and engage in communication with the wider society in different ways via mass and social media, and giving speeches in different forums is something that also drives me. For example, the recently published news piece about myself on LUSEM news section, entitled “Data has the power to transform business and improve society” (including the Swedish version) received some publicity on social media, and was also published by Lund University Magazine (LUM) under the heading "Bred digital kompetens viktig för allt fler" ("Broad digital skills important for more and more people").
Moreover, I'm keen to address pressing societal challenges by embracing a triple helix model of innovation and collaborate with the surrounding commercial, industrial and governmental actors (in Swedish, keywords explaining this approach are "samverkan, verksamhetsnära") in order to co-produce better outcomes and generate value. For example, watch the following video and read this press release in Swedish to get a sneak peek about a research and development work that I led by working closely with five divisions of Atlas Copco in order to co-produce better outcomes and generate value. Moreover, as a by-product of this collaboration the following paper entitled "pyISC: A Bayesian Anomaly Detection Framework for Python" was published in the Proceedings of the 30th International FLAIRS Conference.
Recent research outputs
Research output: Contribution to journal › Article