Staff at Computing Science

PhD student working on multimodal machine learning with an interest in language grounding.

Research in software engineering and computer security. Member of the Research Management Group Software at The Wallenberg AI, Autonomous Systems and Software Program (WASP).

I am a PhD student at the Industrial Doctoral School.

I am a PhD student in the XAI team (explainable AI).  My research focus is RL, optimization, XAI, neural networks, etc.

Research interests: logic, mathematical foundations of computer science, responsible AI development.
Working on concrete tools to explain, audit and develop intelligent systems responsibly.

I am studying ways for artificial intelligent systems to understand human behavior in order to improve strategic decision-making in their interactions with humans.

My research is focused on Responsible Artificial Intelligence.

My research focuses on building robust, explainable machine learning (ML) models for anomaly detection to ensure trustworthiness and reliability of ML models depolyed in critical applications.

I study how to use formal languages (e.g. programming languages) to model natural language. In particular, I am interested in graph grammars and tree automata.

I am a Ph.D. student at the Industrial Doctoral School at Umeå University working on multimodal data analysis motivated by contextual advertising.

A PhD student in the research group "AI for data management" at the Department of Computing Science. Working on applications of semantic technology over geospatial database.

Creative techn., entertainment computing, multimedia, human factors, and data visualization. Solving industrial and society problems through innovation, trans-disciplinarity and visionary use of tech.

 PhD student in the Responsible AI team, looking at AI and anxiety.

I am a WASP Ph.D. student and a member of "NAUSICA: PrivAcy-AWare traNSparent deCIsions" group. I am working on Explainable AI, data privacy, and machine learning.

I am a PhD scholar in the department of Computing Sciences, Umeå University. I am a member of NAUSICA group which focuses on privacy preserving AI algorithms.

Financial coordinator

WASP-HS – The Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (wasp-hs.org)

Please contact me only using my email address at the Department of Computing Science: spock@cs.umu.se

I am a PhD researcher in the Socially aware AI group. We are an interdisciplinary research group working on the social aspects of AI. I focus on social simulations.

Wallenberg Guest Professor and world leading expert in Artificial Intelligence for Data Management. EurAI Fellow 2015, ACM Fellow 2019. Received AAAI Classic Paper Award 2021.

Study administrator at the Department of Computing Science

I'm working on a socially aware chatbot AI which is able to interact with people naturally like humans do

Research in autonomous distributed systems, cloud and edge computing. Member of the Executive Committee of The Wallenberg AI, Autonomous Systems and Software Program (WASP) and the eSSENCE lead group

My specific interests are related to data, services, and human beings' connectivity using ML and cloud technologies.

I am a PhD student working on adaptive automated navigation assistance system.

My research interests encompass linear algebra, algorithm parallelisation, signal processing and proper hardware exploitation, whilst providing high-level software functionalities.

I'm a Professor, leading a research group in the field of socially conscious AI. We develop models that can provide insights into how society can respond to political changes or natural disasters.

My research interests are formal and natural languages and their analysis, in particular in combination with other modalities such as images and video for multimodal media analysis.

Quality developer. Member of the Board of Directors for SEFI (Société Européenne pour la Formation des Ingénieurs).

Communications Officer at the research program The Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS)

Gender and Natural Language Processing. I work on methods for reducing algorithmic harms caused by biased language data. My pronouns are they/them in English.

Researches and educates in the field where systems based on artificial intelligence (AI) need to collaborate with humans. Research spans basic research in AI to applications improving health.

Teacher, Director of Studies, some research about Computer Science Education, more info at people.cs.umu.se/jem

Teaches basic programing, datastructures and algorithms, object orientation, and mobile app development. SACO work place reprecentative

Researching distributed systems and autonomics. Previous topics include grids, clouds, data centers, and virtualization technology. Current focus are microservices and cloud native.

I work with basic research in formal language theory and machine learning as well as applied research in semantic parsing of multimodal data.

Associate professor (Docent) in Artificial Intelligence (AI). Deputy Programme Director of the MSc programme in AI. Member of the council for Doctoral Education in Computer Science.

I am a PhD candidate in the Responsible Artificial Intelligence group at the Department of Computing Science. I have experience in Knowledge Representation and Description Logics.

Ph.D. student in the Interactive and Intelligent Systems research group. Working on employing socially intelligent systems for managing stress and improving emotional wellbeing.

Professor in data science, with emphasis in data analysis and machine learning. Head of explainable AI (XAI) team.
WASP Professor (Wallenberg AI, Autonomous Systems and Software Program)

I am a deputy head of department with responsibility for education and teacher recruitment. I teach on all levels and conduct research on parallel algorithms.

I work most of my time as head of department and am especially responsible for issues related to Economy and Staffing. I also work as a teacher, mostly on courses at the basic level.

I mainly work as a student counselor for the Master of Science in Engineering program: specialisation in Interaction Technology and Design. I am also responsible for book purchases at the department.

EU advisor, supports researchers with H2020 and HE applications. Project manager. 

New as Study Coordinator for the Bachelor Program in Computer Science and the Masters in CS and AI as well as free courses. Also involved as Teaching with some lectures, tutoring and assignments.

Research group of Deep Data Mining.  Working on text understanding, machine learning based privacy preservation, information retrieval.   https://people.cs.umu.se/ljiang/

Administrator for WASP-HS – The Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society

Researcher & teacher. TAIGA co-director

Primary focus: Anxiety-Sensitive Artificial Intelligence

General interests: simulation, responsible AI, pedagogy and transdisciplinarity

I am a PhD researcher at the department of computer science and in the group "Socially aware AI". This goup is an interdisciplinary group working on the social aspects of AI, e.g. social simulations.

Research about artificiell intelligens  in healthcare, focus on personalisation, participation and methods for co-creation.

Associate Professor for Knowledge Representation and Reasoning, researching logic-based Artificial Intelligence techniques for smarter and more reliable data-centric systems.

I’m a PhD student in NAUSICA  group. I am studying the interaction between models spaces and databases spaces and its impact on model selection  and privacy  preserving  in data mining and  ML .

Scientific Computing, particularily Computational Design Optimization, combining computer simulation and numerical optimization. Typical applications: antennas, microwave devices, loudspeakers.

Researcher in the areas of fundamental algorithms, automata theory, and the theory of machine learning. Teaches courses in this area.

Project coordinator, Project responsible and COO at Process IT Innovations. Specialization on energy systems, desicion support, smart industry, logistics and business development.

Systems administrator, Linux/Windows systems

Research Interests: Natural Language Interfaces, Knowledge Representation and Databases.
Teaching Interests: Databases, AI, Logic, Python, Algorithms, Thesis Supervision.

Ph.D. student working on the development of a Fully Automated Mixing System, with a Focus on Electronic Dance Music.

PhD student. Currently working on performance management in service mesh. My research interests are distributed systems and cloud computing. 

Assistant Professor (biträdande universitetslektor), WASP, one of the research group leaders in Autonomous Distributed Systems Lab, https://cloudresearch.org/.

I am research assistant in the "XAI - Explainable AI" research group, working on the explainability of deep learning models.

I am a professor in Computational Linguistics. The research interests cover computational linguistics, NLP, semantic web, sentiment analysis, Machine Learning for text mining and AI

Research Engineer for the Wallenberg Research Arena for Media and Language.

Research focuses on agricultural and forestry robotics: novel AI algorithms, machine learning algorithms, and software architectures.

Director of the MSc programme in AI. Teaching a number of courses.

Professor in High-Performance Computing. Interests: automatic generation of algorithms and code, numerical linear algebra, tensor operations, performance prediction, computer music.

I am professor in computer science with a background in mathematics (algebra, logic, topology).

My interests include Data Centres, Cloud and Edge Computing, Decision Support, Energy-efficiency, and Dependability. I'm a member of ADS, CORE, and the WASP Graduate School Management group.

I'm one of the research leaders in the Autonomous Distributed Systems Lab, ADSLab, a research environment focused on resource management for distributed cloud environments.

Postdoc in the research group for Responsible AI, working on graph problems and formal descriptions of structured data, with a strong interest in ethics, music and society.

Within the Socially Aware AI group I work on normative reasoning for social simulation, using formal methods. I'm also interested in formal representations of social behaviour more broadly.

I conduct research on numerically reliable and sustainable algorithmic solutions and their application. I teach scientific computing, parallel programming, and optimization

I am a WASP-AI Doctoral student and a member of the research group NAUSICA: PrivAcy-AWare traNSparent deCIsions group. Mainly, I focus on Privacy-aware Federated Machine Learning.

WASP-AI/MLX Ph.D. student. The domain of research is Distributed Machine Learning. I mainly deal with Machine Learning problems in Federated settings.

Reserach fellow at the Department of Computing Science and Curiosum.

I am a Wasp-AI PhD student. A part of the Nausica research group. My broad research topic is "Decentralized privacy across federated learning environment". 

I am an Associate Professor and develop computational methods for processing verbal and non-verbal communication and apply these in Social Robotics and Natural Language Processing.

Coordinator of the WASP-HS program and Responsible AI research group.

I do research in projects within artificial intelligence, AI, at Umeå University. My area is Intelligent Robotics.

Systems engineer, server operations, Linux

Docent and associate professor in computing science. Doing research in machine learning and computer vision, often with applications in medical image analysis or the life sciences.

I am working on artificial intelligence. Main research topics include data privacy, approximate reasoning, decision making.

I work on several communication assignments at my department and at TAIGA, Centre for Transdisciplinary AI. Please contact me also, if you have any questions about AI and WASP at Umeå University.

I am a professor in social and ethical AI, and Wallenberg chair on Responsible Artificial Intelligence. Scientific Director of WASP-HS (Humanities and Society). 

Research interests: trustworthy ML/DL, graph learning in NLP/multimodal data. Co-authored different neural models - e.g., ppRNN (faster version of RNN), MGTN (modular), SGTN (privacy-preseving).

PhD Student at the Department of computing science. Interests: Responsible artificial intelligence, software engineering models, methods and tools for ethical artificial intelligent systems.