Mehdi Abdollahi is an Associate Professor at Chalmers University of Technology's Department of Food and Nutrition Science. His research focuses on alternative proteins, food biotechnology, and plant-based hybrid foods, with emphasis on sustainable utilization of food side streams, legumes, cereals, and microalgae as future protein sources. Develops pH-shift technology and ultrasound-assisted methods for protein extraction Specializes in hybrid food engineering via fermentation and biorefinery Works on 3D food printing and high-moisture extrusion for food analogs Researches collagen and biobased food packaging materials His work includes >100 peer-reviewed publications, 4 book chapters, and 3 patents. Current projects involve collaborations with Arla Foods, Lantmännen, and Nordic Seafarm, addressing sustainable seafood systems and plant-protein hybridization. 2024 Bertebos Prize recipient 2025: Recognized among Sweden's Top 101 Sustainability Figures Mentors 7 PhD students and 3 postdocs while collaborating with European institutions like Kristianstad University and Ankara University. His group explores biorefinery strategies, hybrid food functionality, and innovative packaging solutions.
Lars Nordström is a Professor at the Division of Electric Power and Energy Systems within KTH Royal Institute of Technology, Stockholm, Sweden. His work bridges control systems , communication networks , and power systems , with a focus on future architectures, functionality, and quality aspects of ICT for power grid operations. He has led initiatives such as the Swedish Centre of Electric Power Engineering and served as Thematic Leader for Smartgrids in KIC InnoEnergy. In 2014, he was a Visiting Professor at Washington State University. Education : Ph.D., MSc.EE Nordström's research explores the intersection of smart grids , machine learning , and cybersecurity for power systems. Key areas include: Wide-Area Monitoring and Control (WAMC) systems Decentralized control strategies for DC microgrids Impedance modeling using neural networks Data-driven methods for islanding detection ICT reliability and protocol design for grid operations His recent publications emphasize machine learning applications in power systems, including LSTM networks for EV charging management, graph attention networks for stability monitoring, and digital twin approaches for cyber-attack mitigation. These works span disciplines such as Smart Grids, Power Electronics, and Data Science. Scientific Recognitions : Senior Member, IEEE Senior Member, CIRED Senior Member, Cigre Past Chairman, Swedish IEC TC57 Mirror Committee Nordström actively teaches and examines graduate courses like Communication and Control in Electric Power Systems and Computer Applications and Machine Learning in Electric Power Systems . His work influences industry practices through collaborations on digital substations, energy market analysis, and resilience strategies.
Erik G. Larsson is a Professor and Head of the Division for Communication Systems within the Department of Electrical Engineering (ISY) at Linköping University (LiU), Sweden. He joined LiU in September 2007 and has previously held academic and research positions at the Royal Institute of Technology (KTH), University of Florida, George Washington University, and Ericsson Research. Research Interests: Enabling technologies for 6G wireless communication Statistical inference and signal processing Network science and complex networks Decentralized and federated machine learning over networks Physical layer security and privacy Energy-efficient digital signal processing His research group, active in areas like RadioWeaves and massive MIMO, focuses on robust, efficient, and secure wireless connectivity. Recent publications highlight trends in decentralized learning, resource allocation in wireless networks, and the integration of AI into mobile networks, particularly through projects like 'Turning the Air into an AI Computer' funded by the Knut and Alice Wallenberg Foundation. Scientific Awards and Honors: IEEE Signal Processing Magazine Best Column Award (2012, 2014) IEEE ComSoc Stephen O. Rice Prize (2015) IEEE ComSoc Leonard G. Abraham Prize (2017) IEEE ComSoc Best Tutorial Paper Award (2018) IEEE ComSoc Fred W. Ellersick Prize (2019) IEEE SPS Donald G. Fink Overview Paper Award (2023) IEEE Fellow Member, Royal Swedish Academy of Sciences (KVA) Gyllene Moroten Best Teacher Award (2021) Advising and Grants: He has supervised numerous Ph.D. and Licentiate students, many of whom now hold positions at leading industry and academic institutions. His research is currently funded by major organizations including the Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research (SSF), ELLIIT, Security-Link, Swedish Research Council (VR), and EU Horizon 2020 (H2020-SNS-6GTandem). Previous sponsors include VR, KVA, NSF, ORAU, and multiple EU FP7 and H2020 projects (e.g., MAMMOET, REINDEER, 5G-Wireless). Leadership and Service: He has served as Associate Editor for IEEE Transactions on Communications and IEEE Transactions on Signal Processing, chaired technical committees and steering committees in IEEE Signal Processing Society, and held leadership roles in major conferences such as the Asilomar Conference on Signals, Systems and Computers. He was a Visiting Fellow at Princeton University in 2015.
Professor Ingrid Undeland leads the Marine research group at the Division of Food and Nutrition Science, Department of Life Sciences at Chalmers University of Technology. She is a distinguished researcher with expertise spanning marine food science, lipid chemistry, and blue biorefining, having established herself as a leading figure in sustainable seafood research and marine biotechnology. Her educational background includes food science studies from Linnaeus University and a PhD in bioscience from Chalmers University of Technology and SIK (now RISE). Between 1999-2002, she was a post-doctoral fellow at University of Massachusetts Marine Station, which significantly shaped her research trajectory in marine food science. Professor Undeland's research focuses on pioneering next-generation seafood through innovative value chains from seaweed, small pelagic fish, fish side streams, mussels, and microalgae. Her specialized expertise lies in marine lipids and proteins, particularly their stabilization, isolation from complex sources, and nutritional properties including digestibility. She has extensive experience with antioxidant strategies using plant-derived side streams or extracts and fundamental studies of fish hemoglobins as pro-oxidants. Her work also encompasses innovative technologies for biomass fractionation and nutrient recycling to build blue biorefineries, along with in vitro digestion models and general seafood analytics. Beyond marine research, she explores filamentous fungi as sustainable alternative food protein sources. The trends in her recent publications reveal a strong emphasis on valorizing marine resources through advanced processing techniques. Her work increasingly focuses on sustainable extraction methods for seaweed proteins, particularly Ulva fenestrata, and developing antioxidant strategies using berry side streams to stabilize fish proteins. There's a growing interest in understanding the nutritional properties and digestibility of alternative marine proteins, along with environmental assessments of processing technologies. Her research consistently bridges fundamental science with practical applications for creating sustainable seafood value chains. Swedish representative in Nordic Lipidforum, WEFTA, and EuCheMS Editorial board member of Journal of the Aquatic Food Product Technology Member of the National Committee for Nutrition and Food Science at the Royal Swedish Academy of Sciences Co-founder of the startup company AquaFood H-index of 47 according to Google Scholar Professor Undeland has an extensive record of academic mentorship, having supervised or currently supervising 23 PhD students, 14 postdoctoral researchers, and examining over 25 MSc students. Her research is supported by numerous grants, including the WaSeaBi Project which focuses on valorizing seafood side-streams through holistic value chain design. She collaborates with various industry partners and academic institutions across Europe. Her laboratory includes technicians Dr. Karin Larsson and Dr. Rikard Fristedt, and she leads a dynamic research team working on multiple projects related to marine biorefining and sustainable seafood development. Her research group operates within well-equipped facilities at Chalmers University, with specialized laboratories for marine food analysis, protein extraction, lipid oxidation studies, and in vitro digestion modeling. The team also maintains cultivation systems for seaweed and filamentous fungi, enabling integrated research from raw material production to final product development.
Philipp Schlatter is a Professor in the Department of Mechanics at KTH Royal Institute of Technology. His research focuses on fluid mechanics, turbulence, and computational fluid dynamics (CFD), with expertise in high-performance computing and direct numerical simulations (DNS). He leads projects involving scalable CFD frameworks like Neko and Nek5000, and investigates turbulent boundary layers, flow control, and coherent flow structures. His work includes experimental and numerical studies of wing profiles, rotating systems, and transition dynamics. Schlatter teaches courses on computational fluid dynamics and turbulence, emphasizing both theoretical and practical aspects of fluid mechanics. Key research interests include developing numerical methods for high-fidelity simulations, understanding turbulence mechanisms, and optimizing flow control strategies. His contributions span aerodynamics, heat transfer, and the application of machine learning to fluid dynamics problems. Schlatter collaborates extensively on interdisciplinary projects, leveraging advanced computing resources to address complex fluid flow phenomena. Publications highlight advancements in DNS frameworks, Bayesian optimization for flow control, and analysis of turbulent structures in pipe and boundary layer flows. His research also addresses challenges in measurement techniques and uncertainty quantification in CFD simulations.
David Bastviken is a Professor at the Environmental Change Theme (TEMAM), Linköping University , specializing in environmental science and biogeochemical cycles. His research focuses on greenhouse gas emissions, particularly methane and carbon dioxide, from freshwater systems and human activities, with implications for climate policy and pollution management. Research Pillars : Aquatic greenhouse gas dynamics, chlorine cycling in soils, drinking water disinfection by-products, landscape-scale carbon budgets Methodologies : Drone-based sensing, hyperspectral imaging, sensor networks, cross-disciplinary ecosystem experiments Notable findings include the discovery of underestimated methane emissions from lakes and rivers, the role of trees in methane uptake , and natural chlorine production in boreal forests. His work has been funded by ERC , Formas , VINNOVA , and The Swedish Research Council . Recent publications highlight climate sensitivity of methane emissions, day-night emission patterns , and global methane budget modeling. He leads international collaborations across Amazonas , Arctic , and Boreal regions.
Professor Ahmed Hemani is a faculty member at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty. He holds the role of PI for the project 'New Chip Architectures for Industrial Vision' and leads research in reconfigurable computing, memristor-based systems, and hardware acceleration for AI and edge computing. His work bridges theoretical computer science with practical VLSI design and embedded systems development. He actively contributes to cross-disciplinary initiatives at Digital Futures, a joint center with Stockholm University and RISE Research Institutes of Sweden focused on digital innovation. His research emphasizes scalable FPGA/HPC architectures, low-power neuromorphic systems, and optimization techniques for custom silicon solutions. Current projects include a Lego-inspired edge AI framework and memristor-driven MIMO acceleration. Teaching responsibilities span advanced courses in SOC design, digital system verification, and embedded systems. He supervises advanced-level degree projects across computer engineering and ICT innovation specializations, emphasizing hands-on hardware-software co-design methodologies. Recent publications highlight innovations in memristor applications, FPGA-based acceleration, and reconfigurable architectures for neural networks and bioinformatics. His work addresses challenges in dark silicon utilization, energy-efficient computation, and high-performance embedded systems.
Ioannis Sourdis is a Full Professor at the Department of Computer Engineering, Chalmers University of Technology, Sweden. His research focuses on computer architecture, reconfigurable computing, network-on-chip (NoC) design, memory systems, and fault-tolerant embedded systems, with applications in biomedical informatics and hardware security. Current projects include EUMMSS (Efficient Uncore Mechanisms for Multicore Space Systems, funded by the Swedish National Space Board) and eProcessor (European Processor Ecosystem, funded by the European Commission). Past initiatives include the DeSyRe project (on-demand system reliability), ECOSCALE (exascale reconfigurable computing), and SHARCS (secure hardware-software architectures). His work spans NoC router design (e.g., FastTrackNoC, DDRNoC), memory compression (MemSZ, L2C), and biomedical security applications (heartbeat-based protocols). He has published extensively in venues like DATE, ICS, PACT, and IEEE Transactions on Networking. Key research areas: Chiplet-based systems , hybrid memory architectures , FPGA acceleration , and real-time stream aggregation .
Ryan Sponseller is a Professor at the Department of Ecology and Environmental Science, Umeå University, and serves as Director of Studies. His research focuses on biogeochemical processes in boreal and Arctic ecosystems, particularly stream hydrology, riparian zone dynamics, and climate change impacts. He investigates how human activities, land use changes, and extreme climatic events affect carbon, nitrogen, and dissolved organic matter cycling in freshwater systems. Key research themes include: Carbon dioxide and methane dynamics in streams and lakes Effects of forest management and drought on biogeochemical fluxes Landscape controls on stream network functioning Long-term ecosystem responses to disturbances His work integrates field experiments, long-term monitoring (e.g., Krycklan Catchment Study), and interdisciplinary approaches to address global environmental challenges. Recent studies highlight browning trends, riparian zone heterogeneity, and the role of groundwater-stream interactions in regulating ecosystem processes. Publications emphasize methodological advances in measuring aquatic metabolism and greenhouse gas emissions, while also addressing policy-relevant issues like sustainable forest management and climate mitigation strategies.
Johanna Sörensen is an Associate Senior Lecturer at the Division of Water Resources Engineering within Lund University's Faculty of Engineering (LTH) . She specializes in urban hydrological processes , particularly during extreme precipitation , and advocates for blue-green infrastructure (NBS, SUDS) to enhance climate change adaptation and reduce flood risks . Her work bridges technical performance of water systems with urban planning reforms for sustainable solutions. Research Focus : Urban hydrology, blue-green infrastructure, stormwater management Teaching : Advanced Hydrology, Sustainability, Pipe System Engineering Her research involves Artificial Neural Networks for hydrological modeling, decision support indicators for water planning, and fieldwork in Malmö . She collaborates with Swedish Environmental Protection Agency and companies on leakage minimization in water distribution systems. Recent projects include StormMan (governance for sustainable stormwater) and RörANN (smart pipe monitoring). Scientific Awards: The New Generation Prize by Swedish Association for Water (2018) Supervision: Regularly supervises 2–3 Master's thesis projects with industry partners. Network: Active in EU projects and collaborations across Scandinavia, Brazil, and Eastern Africa .
Monica Bellgran is a Professor of Industrial Production at the Royal Institute of Technology (KTH). Her research focuses on optimizing production systems for efficiency and sustainability, emphasizing lean production, circular economy principles, and Industry 4.0 applications. She explores challenges faced by SMEs in adopting advanced technologies and scaling production processes. Key research areas include green design methodologies, circular production frameworks, and the integration of digital tools in manufacturing. Bellgran has contributed to studies on environmental sustainability improvements in pharmaceutical production and the operationalization of circular economy concepts at factory levels. Her work spans collaborations with industries like automotive, pharmaceuticals, and hardware startups, addressing topics such as production localization, deviation management, and the role of advanced digital technologies in strategic decision-making. She emphasizes the importance of balancing operational effectiveness with environmental responsibility in industrial systems.
Damir Isovic is an Associate Professor and Vice-Chancellor for Internationalization at Mälardalen University's Academy of Innovation, Design and Technology. Previously, he served as Dean of the School of Innovation, Design and Engineering. His roles include leadership in academic administration and participation in national boards. He holds a PhD and has extensive international teaching experience. Research focuses on real-time systems, embedded systems design, and scheduling algorithms. Notable contributions include seminal work in real-time scheduling recognized by the IEEE Technical Community on Real-Time Systems. He has organized major conferences and delivered keynotes globally. His publications emphasize hybrid scheduling approaches, real-time operating systems (RTOS), media processing in resource-constrained systems, and MPEG standards. Recent work integrates memetic algorithms with fuzzy controllers and explores multi-core scheduling fairness. His research bridges theoretical scheduling models with practical embedded system implementations. No scientific awards explicitly listed in the text. Advising activities include supervising PhD students, though specific names are not provided. Lab affiliations include the Division of Networked and Embedded Systems, where he develops frameworks like GENESIS for embedded system engineering. His work emphasizes cross-disciplinary collaboration and industry partnerships in education and technology development.
Fredrik Heintz is a professor at Linköping University's Department of Computer and Information Science within the Faculty of Science & Engineering. His research bridges artificial intelligence, education, and healthcare, focusing on AI literacy, synthetic data generation, and autonomous systems. Key affiliations: Linköping University (Faculty of Science & Engineering, Department of Computer and Information Science) Research Interests: Heintz's work spans multiple domains: Developing frameworks for AI literacy in K-12 education Creating fair synthetic healthcare data using GANs and bias-transforming techniques Advancing autonomous 3D exploration algorithms for dynamic environments Benchmarking tools for fairness, utility, and explainability in AI models Stream reasoning for real-time data analytics and knowledge extraction Evaluating ethical implications of AI in teacher education Scientific Contributions: His publications highlight collaborations with international researchers and significant grants from the Swedish Research Council, Knut and Alice Wallenberg Foundation, and VINNOVA. Notable projects include TransFusion for time-series generation, Bt-GAN for fair healthcare data, and DAEP for dynamic exploration planning. Funded by Wallenberg AI, Autonomous Systems and Software Program (WASP) ELLIIT Excellence Center at Linköping-Lund Mistra Geopolitics research program
André Jansson is a Professor of Media and Communication Studies at Karlstad University, Sweden, and Director of the Centre for Geomedia Studies. His research explores media use, identity, and power through an interdisciplinary lens, integrating social phenomenology, human geography, and cultural sociology. He investigates mediatization processes and their impact on social space, focusing on topics like coworking spaces, digital disconnection, and transmedia tourism. Jansson leads major projects funded by the Swedish Research Council and the Ander Foundation, including studies on post-digital work environments and analytical tools for measuring mediatization. Education: PhD (2001) in Media Studies from Gothenburg University; Post-doctoral research at McGill University (2005-06); Docent (2005) at Malmö University; Professor at Karlstad University since 2007. He completed an RJ Sabbatical Grant (2020-21) to complete his monograph Rethinking Communication Geographies . Research interests include geomedia, digital logistics, surveillance culture, and the socio-spatial implications of media technologies. His work bridges communication studies, geography, and sociology, emphasizing critical humanistic perspectives. Editorial roles: Annals of the AAG; Communication and the Public; MedieKultur; and the book series Media Geography . Awards: Member of Academia Europaea (2020-). Key projects include Hot Desks in Cool Places (coworking spaces) and Measuring Mediatization , which develops tools to assess mediatization in everyday life. His recent publications address post-digital workplaces, smartphone morality, and the spatial dimensions of digital reliance.
Christian Stranne is an Associate Professor at Stockholm University's Department of Geological Sciences, specializing in Marine geophysical mapping and modeling. He leads research projects investigating climate change impacts on methane dynamics and Arctic glacial systems. Research Focus Climate warming-induced methane release from marine sediments Arctic ice-ocean-atmosphere interactions Acoustic mapping of oceanographic features Submarine groundwater discharge mechanisms Glacial sedimentation and retreat dynamics Scientific Contributions His work integrates field observations with numerical modeling, particularly through: Development of geomechanically-coupled hydrate dissociation models Pioneering acoustic techniques for mixed layer depth mapping Quantifying glacial erosion rates in Greenland fjords Awards & Grants Swedish Research Council Postdoctoral Fellowship (2015) Swedish Research Council Grant for methane release study (2018) Swedish Research Council Grant for sediment-ocean-atmosphere methane study (2022) Field Experience Christian has extensive polar expedition experience: 6 major icebreaker expeditions to Antarctica and Arctic Ocean Research cruises in Sweden, Finland, Brazil, and Chile Expertise in CTD/LADCP operations and mooring deployments
