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Praveen Kumar DontaView profile

Associate Professor

• Distributed Computing Continuum Systems
• Learning Techniques in IoT
• AI/ML for Computing Systems
• +5 more

Praveen Kumar Donta is an Associate Professor (Docent) and Senior Lecturer at the Department of Computer and Systems Sciences, Stockholm University, Sweden. His research focuses on distributed computing continuum systems, learning-driven approaches for IoT and edge computing, and intelligent data protocols. He leads the Distributed Immersive Participation research group which investigates how humans and things can be more connected and exchange information in real and virtual societies. Education: Ph.D. in Computer Science & Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad (2021) Visiting Ph.D. Fellow at Mobile&Cloud Lab, University of Tartu, Estonia (2019-2020) Master in Technology from JNTUA, Ananthapur (2014) Bachelor in Technology from JNTUA, Ananthapur (2012) Dr. Donta's research centers on distributed computing continuum systems that integrate cloud, edge, and IoT devices to deliver scalable and low-latency computing resources. His work explores learning techniques in IoT, AI/ML for computing systems, cognition and causality in computing systems, and cyber-physical continuum applications. He investigates how human body analogies can inform the design of more resilient and efficient distributed systems, as well as developing frameworks for privacy enforcement, equilibrium in computing continuum systems, and energy-efficient user interactions with smart environments. His research has significant applications in smart city management, satellite services, and intelligent transportation systems. Dr. Donta's publication record demonstrates a strong focus on the intersection of distributed systems, machine learning, and privacy-preserving technologies. His recent work shows an increasing emphasis on human-inspired approaches to distributed computing, with particular attention to making these systems more interpretable, efficient, and adaptable. His research spans theoretical foundations of computing continuum systems to practical implementations in areas like satellite services, smart environments, and anomaly detection. Scientific Awards and Recognition: IEEE Senior Member ACM Professional Member Dr. Donta serves as an editorial board member for several prestigious journals including IEEE Internet of Things Journal, Computing (Springer), Transactions on Emerging Telecommunications Technologies (Wiley), Measurement, and Computer Communications (Elsevier). He actively mentors the next generation of researchers, currently supervising PhD student Alfreds Lapkovskis and co-supervising Shubham Vaishnav. His research is supported by projects such as the Heterogeneous Computing Continuum for a Sustainable Smart City Management (HCSCM), which aims to develop scalable, secure solutions for urban environments by integrating IoT, edge, and cloud computing. As part of the Distributed Immersive Participation research group, Dr. Donta collaborates with researchers across disciplines to explore how technological advances enable humans and things to be more connected. The group focuses on application areas such as culture, transport, intelligent vehicles and e-health, developing solutions that enhance participation in both real and virtual societies.

Erik LindahlView profile

Professor

• Biophysics
• Theoretical Chemistry
• Computational Biology
• +4 more

Erik Lindahl is a Professor of Theoretical Chemistry at the Department of Biochemistry and Biophysics, Stockholm University. His research group is primarily located at the Science for Life Laboratory, a joint research environment for Stockholm University, KTH Royal Institute of Technology, and Karolinska Institutet. Lindahl serves as deputy director of the Swedish e-Science Research Center (SeRC), sits on the steering committee for the national program in Data-driven Life Sciences at SciLifeLab, and is program manager for Stockholm University's part of a joint master's program in molecular techniques for the life sciences. He also serves as vice section dean for chemistry and is involved in creating a Swedish node within CECAM. Lindahl's research focuses on understanding the structure and function of ligand-gated ion channels, particularly in the human nervous system. His group combines experimental and computational approaches, including bioinformatics for building receptor models, molecular dynamics simulations to understand molecular interactions, and experimental techniques like electrophysiology and spectroscopy. They have made significant contributions to understanding how voltage-gated and ligand-gated ion channels function, including determining molecular mechanisms of channel opening and identifying binding sites for molecules that modulate neural signaling. The group is also a leader in developing computational tools for life sciences, particularly the widely used GROMACS software package for molecular dynamics simulations and methods for cryo-electron microscopy data analysis through the RELION program. Analysis of Lindahl's recent publications reveals a strong focus on structural biology of membrane proteins, particularly ligand-gated ion channels. His work integrates cutting-edge computational methods like molecular dynamics simulations, AlphaFold predictions, and cryo-EM data analysis to understand protein conformational dynamics and ligand binding. Key research themes include the structural basis of ion channel function, lipid-protein interactions that stabilize membrane proteins, and computational methods for biomolecular simulation and structural biology. His publications demonstrate a consistent interdisciplinary approach that bridges computational chemistry, structural biology, and neuroscience. Lindahl leads an active research group with multiple postdocs, researchers, and PhD students working on various aspects of membrane protein structure and function. His research is supported by diverse funding sources including the Swedish Research Council, European Research Council, Knut and Alice Wallenberg Foundation, and several EU programs. He plays significant leadership roles in major computational infrastructure initiatives including BioExcel (an EU-funded center of excellence for computational biomolecular research), PRACE (the European computing infrastructure), and EuroHPC. The Lindahl research group operates primarily at the Science for Life Laboratory, where they have access to advanced computational resources and experimental facilities for structural biology. The group collaborates extensively with researchers across Stockholm University, KTH, Karolinska Institutet, and international partners through EU-funded projects. They are particularly active in developing and maintaining open-source software tools that are widely used in the computational biology community.

Håkan GrahnView profile

Professor

• Computer Architecture
• Multicore Systems
• GPU Computing
• +7 more

Håkan Grahn is a Professor of Computer Engineering at the Department of Computer Science, School of Computing, Blekinge Institute of Technology (BTH) in Sweden. He has been a faculty member since 1996, becoming a full professor in 2007. His academic leadership includes serving as Head of Department (1999-2002) and Dean of Research (2011-2013) at BTH. He leads multiple significant research projects including GPAI (General Purpose AI Computing) and Green Clouds, with funding from ELLIIT, the Knowledge Foundation, and Vinnova. His educational background includes: M.Sc. in Computer Science and Engineering (1990) from Lund University Ph.D. in Computer Engineering (1995) from Lund University Håkan's research spans several interconnected domains in computer science and engineering, with a strong emphasis on practical applications. His work in computer architecture focuses on optimizing system performance through innovative cache coherence protocols and memory management techniques. In the realm of parallel computing , he investigates multicore systems, GPU computing, and thread-level speculation to enhance computational efficiency. His research in AI and machine learning addresses energy efficiency, data stream mining, and practical applications in areas like district heating systems and airborne networks. The integration of image processing with machine learning forms another significant strand of his work, particularly in historical document analysis and medical imaging applications. These research areas converge in his leadership of major initiatives like BigData@BTH and GPAI, where he bridges theoretical advances with real-world implementation challenges. Analysis of Håkan's recent publications reveals a clear trajectory toward increasingly applied research with strong industry connections. While maintaining foundational work in computer architecture, his output increasingly focuses on practical AI applications, energy efficiency in computing, and domain-specific implementations in sectors like telecommunications, energy systems, and defense. The interdisciplinary nature of his work is evident in collaborations spanning computer science, engineering, and domain-specific applications, with a growing emphasis on sustainability and resource optimization in computing systems. Håkan has successfully supervised numerous doctoral students, with ten graduates and six current Ph.D. candidates. His research has been supported by substantial funding from: The Knowledge Foundation (BigData@BTH, HINTS, Green Clouds) ELLIIT (GPAI project) Vinnova (FANET-MCA, Directed COM & EW) Industry partners including Ericsson, Saab, Telenor, and Fortnox He is actively involved in multiple research groups including DISL (Distributed and Intelligent Systems Lab), CCS-Lab (Communication and Computer Systems Research Lab), and previously PAARTS (Parallel Architectures and Applications for Real-Time Systems). His leadership extends to organizing academic events like the Nordic workshop on Multi-Core Computing and the Swedish Artificial Intelligence Society workshop.

Christer ÅhlundView profile

Professor

• Network Protocols
• Internet of Things
• Cloud Computing
• +7 more

Christer Åhlund is a Professor and Head of Subject in Pervasive and Mobile Computing at Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering. He is based in Skellefteå and leads research in distributed computer systems. University: Luleå University of Technology School: Department of Computer Science, Electrical and Space Engineering Department: Computer Science Position: Professor and Head of Subject Professor Åhlund's research interests span network protocols, IoT, cloud-based and distributed data processing, AI/ML, performance analysis, and cybersecurity. For over a decade, his research has focused on digital solutions for societal functions, particularly 'Smart Cities/Regions.' His work integrates theoretical foundations with practical applications to address real-world challenges in urban and regional development. His approach combines technical expertise with an understanding of societal needs, creating solutions that are both innovative and implementable in real-world settings. His research demonstrates a strong trend toward integrating AI/ML techniques with distributed systems to create intelligent, responsive infrastructure. The focus on Quality of Experience (QoE) in heterogeneous networks shows his commitment to user-centered design in technical systems. His recent work on anomaly detection in energy systems and XR applications demonstrates the expanding scope of his research into new application domains. ENiSDA project ESUDA project ACECyberSafe project SSiO project Professor Åhlund has supervised numerous PhD students whose work focuses on smart applications, IoT, machine learning in various contexts, and network resource management. His leadership extends beyond direct supervision to establishing research centers, including 'Security in Society and Critical Infrastructures' at LTU in 2016. He previously served as Scientific Director for LTU's 'Enabling ICT' research and innovation area from 2013-2019 and as department head from 2003-2012. He currently teaches Applied Computer Security, Internet Security, Data Science programming, and Advanced Computer Networks, drawing on his extensive industry experience (12 years in ICT) to bridge theory and practice for students.

Nosheen AbidView profile

Research Fellow

• Machine Learning
• Unsupervised Curriculum Learning
• Computer Vision
• +4 more

Nosheen Abid is a Postdoctoral Researcher at Malmö University's Faculty of Technology and Society, Department of Computer Science and Media Technology. Her research focuses on machine learning applications, particularly unsupervised curriculum learning methods for various domains including earth observation, robotics, and computer vision. Her primary research interests include: Machine Learning and Deep Learning Unsupervised Curriculum Learning Computer Vision and Image Analysis Earth Observation and Remote Sensing Human-Robot Interaction Artificial Intelligence for Environmental Applications Abid is actively involved in the project "Human-robot collaborative learning for ultralight electric utility vehicles," which aims to enhance autonomous capabilities through the integration of end-to-end imitation learning with interactive machine learning. Her publication record shows consistent output across multiple application domains, demonstrating expertise in applying advanced machine learning techniques to solve real-world problems in environmental science, neuroscience, infrastructure analysis, and social media. She is affiliated with the Sustainable Digitalisation Research Centre at Malmö University, which studies both social and technological aspects to promote sustainable digitalisation. Her collaborative work with researchers like Marcus Liwicki and others indicates strong interdisciplinary connections across multiple institutions.

• Computer Science Education
• Educational Technology
• Artificial Intelligence in Education
• +3 more

Calkin Suero Montero serves as Senior Lecturer at Uppsala University's Department of Information Technology, affiliated with the Vi3 and Computing Education Research groups. His position bridges theoretical computer science and practical educational innovation within Sweden's higher education landscape. Research focuses critically on technology-mediated learning environments, particularly generative AI applications in K-12 informatics education, mixed reality remote instruction, and programming pedagogy. His work examines cognitive, social, and technical dimensions of student engagement through empirical studies involving teachers and learners across diverse educational contexts. Methodologically, he employs qualitative frameworks to investigate how emerging technologies reshape classroom dynamics and knowledge construction. Current publication trends reveal concentrated exploration of AI's disruptive impact on traditional CS education paradigms, with significant attention to ethical implementation challenges and contextual adaptation requirements. His blended learning models specifically address mathematics instruction while cross-disciplinary collaborations extend into special education domains like autism-inclusive storytelling. As core faculty within Uppsala's computing education ecosystem, he contributes to the Vi3 research group's mission of developing human-centered technological solutions while advancing the university's strategic focus on digital transformation in pedagogy.

Simon LiljeströmView profile

Research Fellow

• Music Psychology
• Dental Epidemiology
• Medical Statistics
• +3 more

Simon Liljeström serves as a Postdoctoral Fellow, Statistician, and Education Manager at the Center for Clinical Research, Västmanland, operating under the Uppsala University academic umbrella through regional healthcare collaboration. His dual role bridges statistical methodology development with clinical education management in central Sweden. Research spans two distinct phases: early career (2008-2016) focused on music psychology examining emotional reactions, aesthetic judgment, and performance expression through idiographic modeling and experience sampling; recent work (2019-2024) pivoted to dental epidemiology and public health using Swedish national registries for caries identification, dementia prediction from midlife blood pressure, and CPR training efficacy. Methodological expertise includes advanced statistical modeling of longitudinal data and large-scale population studies. Publication trends reveal a strategic shift from cognitive music science to clinical registry epidemiology, maintaining rigorous quantitative approaches while adapting to new healthcare domains. Recent dental studies leverage the SKaPa national registry for life-course caries analysis, demonstrating methodological continuity despite thematic evolution. No scientific awards were documented in the source materials. Student advising and research grant activities are not referenced in available information, suggesting primary focus on independent research and educational management. Work occurs within the Center for Clinical Research, Västmanland framework without specific laboratory designation, indicating integration into regional healthcare research infrastructure rather than isolated lab-based work.

• Neuroscience
• Autism Spectrum Disorder
• Synesthesia
• +4 more

Janina Neufeld is a Principal Researcher and Docent at Karolinska Institutet, where she is affiliated with the Department of Women's and Children's Health and the Center of Neurodevelopmental Disorders (KIND). She leads her own research team focusing on synesthesia, autism, and perception, and is also part of Sven Bölte's research group on autism, ADHD, and other neurodevelopmental conditions. Dr. Neufeld earned her PhD in Human Neuroscience from Hannover Medical School (2012), followed by postdoctoral training at the Center of Neurodevelopmental Disorders at Karolinska Institutet (2014-2018) and the University of Reading (2012-2014). Her research focuses on neural correlates and behavioral markers of Autism Spectrum Condition (ASC) and ASC-related symptoms, with particular interest in biomarkers of symptom severity, social cognition deficits, altered reward functioning, and sensory processing in ASC. Since 2019, she has led a project investigating the link between ASC and synesthesia using twin studies. As a Pro Futura Scientia fellow, she is also studying associations between synesthesia and various mental health conditions including obsessive-compulsive disorder. Her methodological expertise includes Magnetic Resonance Imaging, Eye-Tracking, Electromyography, and Psychophysics. Her research frequently employs twin study designs to disentangle genetic and environmental influences on neurodevelopmental conditions. Analysis of her recent publications reveals strong emphasis on co-twin control methodologies to address familial confounding, with research spanning brain connectivity in autism, sensory processing differences, and the relationship between synesthesia and neurodevelopmental conditions. Principal Researcher, Department of Women's and Children's Health, Karolinska Institutet (2022-present) Docent, Karolinska Institutet (2024) Treasurer for Junior Faculty, Karolinska Institutet (2022-present) Research team leader, Team Neufeld, Karolinska Institutet (2022-present) Member, Junior Faculty Steering Group, Karolinska Institutet (2022-present) Guest editor, Scientific Reports (2022) Dr. Neufeld has secured multiple competitive grants from the Swedish Research Council and the Bank of Sweden Tercentenary Foundation. Her work has significant clinical implications for identifying new biomarkers and interventions for autism while advancing fundamental understanding of human perception and neurodevelopment. She mentors PhD students Yating Huang and Hjalmar Nobel Norrman in her research team.