Former PhD student (2018-2024) at the Department of Computer and System Sciences (DSV), Stockholm University
Author: Mahbub Ul Alam
I was a Ph.D. student (2018-2024) working on the research subject ‘AI and Data Science’ at the Department of Computer and System Sciences, Stockholm University. My research work involved improving the internet of medical things-based smart healthcare applications with the utilization of distributed machine learning. For more information please visit: https://mahbub.blogs.dsv.su.se/
I recently published a paper with two other co-authors at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022, July 21-23, 2022, Shenzhen, China, Online Event). CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. The title of my paper is “Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, (Mahbub Ul Alam,Read more
The First Inria-DFKI European Summer School on Artificial Intelligence (IDAI 2021) is an online event held on July 20-23, 2021. It had two themes, ‘Trustworthy AI‘ and ‘AI for Medicine‘. Along with the latest methodological advances and the shared vision of the future, it also offered hands-on courses. Participants were also offered the opportunity to present their work to each other in dedicated poster/demo sessions. I participated in the ‘AI for Medicine‘ track. The keynotesRead more
On 24 June 2021 (10:00-12:00), I presented the mid-term seminar (Halvtidssemarium) with my current research summary entitled ‘Improvement of Internet of Medical Things based Applications with Distributed Machine Learning Approach‘. The respected expert reviewers (Expertgranskare) were Lektor Saguna Saguna, Luleå tekniska universitet; and Docent Aron Larsson, DSV, SU. I learned a lot from the reviewers regarding the research goal, direction, and insights about my topic. I sincerely hope that based on these valuable suggestions IRead more
The Data Science Research Group at the Department of Computer and Systems Sciences (DSV) of Stockholm University organized a Ph.D. Workshop where Ph.D. students presented their ongoing research. Mykola Pechenizkiy (Eindhoven University of Technology, The Netherlands) was the keynote speaker on the topic ‘On Explainable Machine Learning’. Along with Uno Fors, Jelena Zdravkovic, and the Data Science Research Group from DSV, the respected external participants were as follows, Allan Tucker Brunel Univ. Myra Spiliopoulou Univ.Read more
Recently I participated in one interesting work titled ‘Automated surveillance of urinary tract infections in a tertiary care hospital in Stockholm.’ I was responsible for mining the UTI-symptoms from free medical text data using natural language processing to be used in Algorithm 3. Algorithm 3 provided the best-balanced performance in the evaluation. The work is published as an abstract (abstract 3546) in the ‘Abstract Book 2020, European Congress of Clinical Microbiology and Infectious Diseases (ECCMID)’.Read more
I presented a research paper entitled ‘Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis‘ in the 13th International Conference on Health Informatics (HEALTHINF), Malta, Valletta, 24-26 February 2020 organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). The paper won the HEALTHINF 2020 Best Paper Award. Overall it was an enjoyable experience, and I learned a lot from all. My presentation slides are attachedRead more
I have received a conference travel grant from Helge Ax: son Johnson’s Foundation for the HEALTHINF 2020 conference in Malta. “Helge Axelsson Johnson was born on June 22, 1878, as the second eldest son of Axel Johnson. Axel Johnson was born in Jönköping in 1844 and moved to Stockholm at the age of 18. In 1873 he started an agency and commission business for the import of coal and coke which from 1875 was namedRead more
One uneventful day Gustaf and I were having lunch together in the kitchen area. Somehow the discussion topic moved to runestone. I am quite fond of history, so I expressed my interest in visiting one. Gustaf said, ‘sure. There are a number of those nearby. We should visit those sometimes. How about a runestone safari?’ We laughed and then got busy with our works. Sometimes after Gustaf reminded me that a safari is still pending.Read more
Recently I attended a symposium about sepsis and the early detection using machine learning. I presented my current work there. David Forsberg (postdoc from Professor Eric Herlenius group in the Pediatrics department) and John Karlsson Valik (MD. PhD‐student at Karolinska Institutet) introduced us to a mini-symposium on Automated sepsis detection using machine learning techniques. The symposium took place on the 2nd of May between 9 am – 12 noon at Nya Karolinska Solna. We startedRead more
15 April 2019 “The first principle is that you must not fool yourself — and you are the easiest person to fool.”- Richard Feynman Who am I? It has been seven months since I have started my new position as a Ph.D. student. As a person of immense curiosity and a nagging habit of analyzing everything, it was my dream job. After completing my bachelor’s degree in computer science and information technology, like any otherRead more
