David Waller is a Professor in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), specializing in catalysis and industrial chemistry. His research focuses on platinum group metal capture, nitric acid production processes, and material science for industrial catalysts. Current affiliation: NTNU (Norwegian University of Science and Technology) Department: Chemistry Key research areas: Catalytic oxidation, platinum recovery, industrial process optimization His recent publications highlight advancements in catalyst design for nitric acid production, including Ag-promoted MnO 2 /ZrO 2 systems and Pd/Au alloys for enhanced platinum diffusion. He also investigates redox stability of Ru catalysts under industrial conditions and challenges in quantifying Pt in alloys via secondary ion mass spectrometry. Waller teaches courses such as TKP4150 - Industrial Chemistry and Refining and TKP4515 - Catalysis, Specialization Course . He has presented at international conferences including the 9th World Congress on Oxidation Catalysis and the Nordic Symposium on Catalysis.
Kiran Bylappa Raja is an Associate Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU). His research spans interdisciplinary domains including computer vision, biometrics, and remote sensing, with a focus on deep learning, image processing, and ethical AI applications. Recent publications highlight trends in next-generation computer science education, fire detection optimization for edge devices, facial recognition ethics, UAV-based re-identification, and demographic variability in biometric quality measures. Collaborations span institutions like Technische Universität Darmstadt (TUD) and University of Stavanger (UoS).
Athanasios Vasilakos is a Professor at the University of Agder's Department of Information and Communication Technology. His research focuses on cutting-edge ICT domains including quantum computing, cybersecurity, and distributed systems. He maintains an extensive publication record with recent works concentrated in quantum machine learning, blockchain applications, and IoT security. Research interests span: Quantum computing architectures and cryptographic applications Secure federated learning frameworks for distributed networks AI-driven solutions for IoT and telecommunications systems Advanced cybersecurity techniques including steganalysis and homomorphic encryption Cross-domain applications in bioinformatics, smart grids, and autonomous vehicles Publication analysis reveals strong thematic focus on: security enhancements for emerging technologies (blockchain, quantum systems), privacy-preserving machine learning, and IoT optimization. Recent works demonstrate increasing attention to quantum-classical hybrid systems and their real-world implementations. Collaboration networks include extensive international partnerships across Europe and Asia, particularly in quantum computation, cybersecurity, and intelligent systems research.
Muhammad Hamza Zafar is a PhD Research Fellow at the Department of Engineering Sciences, University of Agder. His research spans robotics, human-robot teaming, deep learning, and sustainable technologies with significant contributions to both academic literature and practical applications in emergency response and industrial automation systems. Dr. Zafar's research interests focus on the intersection of robotics and artificial intelligence, particularly in human-robot teaming, wearable technologies, and sustainable energy systems. His work addresses critical challenges in real-time gesture recognition, robotic manipulation, and emergency response systems, leveraging advanced deep learning techniques and novel algorithmic approaches. He has made significant contributions to photovoltaic power forecasting, battery state estimation, and intrusion detection in robotic systems. Analysis of Dr. Zafar's publication record reveals a strong focus on human-robot collaboration in emergency and industrial settings. His research consistently bridges theoretical advancements with practical applications, with particular emphasis on making robotic systems more intuitive, responsive, and capable in complex environments. Key thematic areas include gesture-based control systems, multi-modal sensor fusion, sustainable energy applications of AI, and Industry 5.0 manufacturing paradigms. Dr. Zafar is actively involved with the CIEM - Center for Integrated Emergency Management and the Artificial Intelligence, Biomechatronics and Collaborative Robotics research group at the University of Agder. His collaborative work spans multiple institutions, reflecting the interdisciplinary nature of his research in human-robot interaction and sustainable technologies. His office is located at D3063 (Jon Lilletuns vei 9, 4879 Grimstad, Norway) with contact information including phone +47 37233744 and mobile +4748919198.
Francesco Piro is an Early Stage Researcher (ESR 12) at CERN, affiliated with the STREAM project's Work Package 4 (Validation and Qualification). As a member of the ATLAS design group, his work focuses on analog and mixed-signal circuit design for monolithic CMOS sensors used in particle detectors and accelerator beam monitoring. Host Institution: CERN Education: BSc and MSc in Electronics Engineering from University of Naples Federico II (IT), Master Thesis at University of Geneva (Département de Physique Nucléaire et Corpusculaire) His research interests center on radiation-hard electronics and semiconductor detector development, particularly for high-energy physics applications. His work bridges circuit design and sensor characterization through laboratory measurements and testbeam experiments, aiming to optimize performance while reducing costs via industrial CMOS processes. The article he co-authored demonstrates his focus on CMOS sensor innovation for tracking particles in high-luminosity environments, with potential applications in medical imaging and digital cameras. This aligns with his broader expertise in ASIC development and device physics. Francesco collaborates internationally at CERN and contributes to advancing pixel detector technology. His spare time activities include swimming, sailing, and spearfishing, reflecting his passion for marine environments.
Laura Jaakola is a Professor of Plant Biology at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway, and Head of Research at the Climate Laboratory. Her work focuses on plant metabolism, environmental stress responses, and berry crop research, particularly in Arctic and Nordic ecosystems. She investigates metabolic pathways in berries like bilberry, lingonberry, and wild blueberry, exploring how environmental factors (temperature, light, climate change) influence fruit quality, phytochemical composition, and plant defense mechanisms. Research interests span metabolomics, flavonoid biosynthesis regulation, and the application of remote sensing in agriculture. Her studies often address practical challenges like disease control (e.g., Botrytis management) and optimizing crop resilience in changing climates. Collaborative projects include analyzing berry biodiversity in Armenia and developing functional foods from berries. Key areas: Berry phytochemistry, climate-plant interactions, agricultural biotechnology Labs: Climate Laboratory, UiT Expertise: Metabolomics, plant physiology, genomics Publications emphasize Arctic plant adaptation, fruit pigmentation mechanisms, and the molecular basis of secondary metabolite production. Her work bridges fundamental plant biology with applied agronomic solutions for sustainable Nordic agriculture.
Janne Østvang serves as Head of the Research and Innovation Section within the Faculty of Information Technology and Electrical Engineering at NTNU. Her administrative responsibilities include managing EU-funded research projects, overseeing PhD education programs, and supporting strategic planning for the faculty's research initiatives. She plays a key role in NTNU's research infrastructure, including managing core facilities like the Cellular and Molecular Imaging Core Facility (CMIC). Her academic background includes a PhD in lipid biochemistry (2002) focusing on phospholipase A2 regulation in atherosclerosis. Her research interests span molecular biology, lipid signaling pathways, and inflammatory processes, with notable contributions to understanding lysophosphatidylcholine's role in monocyte activation. She has published extensively in high-impact journals like Journal of Lipids and Arteriosclerosis, Thrombosis and Vascular Biology . Professionally, she bridges research administration and scientific innovation, advocating for interdisciplinary collaboration through lectures and museum exhibitions. Her work emphasizes translating cutting-edge lipid research into practical applications in biotechnology and healthcare.
Roger Birkeland is a Researcher at the Department of Electronic Systems , Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering . His work focuses on the design and development of small satellites for Earth observation and communication, with an emphasis on maritime and Arctic applications. Co-founder and former leader of the NTNU Student Satellite Project Key contributor to the establishment of the NTNU Small Satellite Lab Research Interests include: Small satellite systems (CubeSats) Hyperspectral imaging payloads Software-defined radios (SDRs) for space communication Arctic sensor networks Integration of unmanned surface vehicles (USVs) with satellite systems Additive manufacturing for space components Recent publications highlight advancements in: Agile satellite maneuvering for improved imaging On-board processing for hyperspectral data Interference measurement in Arctic radio bands Low-cost prototyping materials via 3D printing
Sara R. Martin is an Associate Professor in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology, Mathematics and Electrical Engineering. Her research focuses on acoustics, signal processing, and aerospace engineering, with notable contributions to sound scattering, environmental noise measurement, and paleoacoustics. She teaches courses such as TTT4292 (Acoustics of Rooms and Musical Instruments) and TTT4295 (Acoustic Signal Processing). Her work bridges theoretical acoustics with practical applications, including studies in archaeological sound environments and aircraft noise tracking. Research interests include computational acoustics, edge diffraction modeling, and the development of hybrid methods for sound scattering. Recent studies explore acoustical measurement techniques for educational purposes and the acoustics of Chauvet Cave. She has collaborated on projects like MESH2FAUST, a physical model generator for musical instruments using the Faust language. Her publications span journals such as the Journal of the Acoustical Society of America, IEEE Transactions on Aerospace and Electronic Systems, and Acta Acustica. She actively participates in conferences, including the 173rd Meeting of the Acoustical Society of America and the European Acoustics Association events.
Arun Prakash Singh is a Researcher at the University of Oslo (UiO), affiliated with the Unit for Multilingualism and the Department of Linguistics and Nordic Studies within the Faculty of Humanities. He currently leads the Marie Curie-funded Hindi-BabNet project, focusing on Hindi-speaking infants' language development and acoustic analysis of parental speech. Previously, he worked on the BabyLearn project at UiO (2022–2024), examining Norwegian infant-directed speech’s role in early speech comprehension. His academic background includes a PhD in Acoustics from the Indian Institute of Technology (IIT) Kanpur (2020), a Master of Technology in Electronics and Communication Engineering from HBTU, Kanpur (2010), and a Bachelor of Technology from UPTU, Lucknow (2007). Education: PhD: Acoustics Lab, IIT Kanpur, India (2020) Master of Technology: Electronics and Communication Engineering, HBTU, Kanpur (2010) Bachelor of Technology: Electronics and Communication Engineering, UPTU, Lucknow (2007) Research Interests: Singh’s work integrates speech engineering techniques with linguistics to study early language development and multilingualism. His key areas include infant-directed speech (IDS) analysis, statistical methods (frequentist and Bayesian), and machine learning applications in speech recognition. He employs tools like Praat, Audacity, TensorFlow, and PyTorch to analyze acoustic data and model parent-infant communication dynamics across languages (Hindi, Norwegian) and socio-economic contexts. Scientific Awards: MHRD INDIA Post Graduate Scholarship (2007) MHRD INDIA PhD Scholarship (2013) Advising and Grants: While not currently supervising students, Singh has contributed to interdisciplinary projects funded by the EU Marie Curie program and the ESRC. His past roles include Senior Project Scientist at IIT Kanpur’s Acoustic Lab (2020–2022) and Postdoc on the BabyLearn project. His research bridges engineering and social sciences, emphasizing practical tools for linguistic analysis and data-driven insights into language acquisition. Labs and Teams: Associated with IIT Kanpur’s Acoustic Lab during his PhD, Singh now collaborates with UiO’s Clinical Linguistics and Language Acquisition and Experimental Linguistics groups. His current work in the Department of Linguistics and Nordic Studies involves developing computational models to study multilingualism and IDS’s impact on vocabulary growth in Hindi-speaking children.
Pål Orten is a Professor II at the University of Oslo's Institute of Transport Economics (ITS), holding a 20% part-time position. He is affiliated with the Section for Autonomous Systems and Sensor Technologies, focusing on advanced communication systems including underwater acoustic networks, maritime communication infrastructure, and millimeter-wave technologies. His research bridges theoretical signal processing with practical hardware implementations, particularly leveraging FPGA platforms for real-time systems. Key research areas include: (1) Underwater Acoustic Communication (channel modeling, MIMO systems, FPGA-based platforms), (2) Maritime Connectivity (5G applications, intelligent reflecting surfaces), and (3) Millimeter-Wave Systems (MIMO design, phased arrays). His work addresses challenges in autonomous systems, industrial automation, and aquaculture monitoring. Recent publications highlight innovations like the WindNet mobile base station for maritime use and experimental evaluations of high-frequency underwater communication systems. His contributions span IEEE conferences (e.g., IHTC, ITNAC, VTC) and journals like IEEE Journal of Oceanic Engineering and International Journal of Antennas and Propagation.
Mette Sønderskov is an Associate Professor at the University of Inland Norway, affiliated with the Inland School of Business and Social Sciences and the Department of Organisation, Leadership and Management. Her research focuses on public service innovation, co-creation in welfare systems, youth inclusion (NEETs), democratic participation, and organisational management. She investigates how public policies and services can be designed to better support vulnerable groups, including children in welfare systems and young people outside education or employment. Education: While specific academic qualifications aren't detailed in the provided texts, her position as an Associate Professor implies advanced degrees in social sciences or public administration. Her research interests emphasize innovative approaches to social challenges, such as applying positive deviance theory to service design and analyzing bureaucratic dynamics in co-creation initiatives. She explores topics like mandated child welfare referrals, democratic innovations through technology, and interorganizational collaboration in public sectors. Notable work includes studies on youth inclusion strategies, the role of method guides in public agencies like NAV, and the complexities of institutional collaboration. Her work often bridges theoretical frameworks with practical policy implications, aiming to improve service delivery and citizen engagement. Awards: None explicitly mentioned in the provided texts. Grants & Advising: While specific grants aren’t listed, her publications suggest involvement in research projects related to youth inclusion, public service innovation, and democratic participation. She advises on policy design and implementation, though specific student advisees aren’t noted here. Labs/Teams: Involved in research groups like 'Co-Creation in Research and Service Development' and 'Community-building Pedagogical Practices,' focusing on applied research and collaborative solutions for societal challenges.
Stefano Fasciani is Associate Professor in the Department of Musicology at the University of Oslo's Faculty of Humanities, leading research in sound computing and interactive music systems. As Head of Creative Computing Oslo Hub and Director of the Music, Communication and Technology Master's program, he develops novel approaches to digital instrument design. Education includes: Ph.D. Integrative Sciences and Engineering, National University of Singapore (2014) M.Sc. Electronic Engineering, University of Rome Tor Vergata (2006) B.Sc. Electronic Engineering, University of Rome Tor Vergata (2003) Research integrates signal processing, machine learning, and embedded systems to create responsive musical interfaces and synthesis architectures. Current projects include neural modeling of acoustic instruments, optical sensor-based controllers, and multi-agent music systems. Manages the Nordic Sound and Music Computing network and Self-playing Guitars project. Secured funding from EU Erasmus+ and NordForsk for international collaborations in creative technologies. Supervises 15+ graduate students in projects spanning hardware design, evolutionary sound systems, and AI-driven composition tools. Teaching includes Music and Machine Learning, Interactive Music Systems, and Sound Programming courses.
Geertruida Aline Attwell is a Doctoral Research Fellow at the Department of Informatics, University of Oslo. Her PhD project investigates AI implementation strategies within organizational digital infrastructure, adopting a sociotechnical perspective through qualitative case studies like diabetic retinopathy screening systems. She holds a BSc in Consumer Studies and MSc in Management & IT from Wageningen University, with a master's thesis focusing on speech therapy system architectures. Education: BSc Consumer Studies, Wageningen University & Research MSc Management, Economics and Consumer Studies (IT specialization), Wageningen University & Research Her research interests bridge AI applications, healthcare technology integration, and organizational process innovation. Prior to academia, she worked as a senior analyst in global organizational consulting firms specializing in AI strategy. She currently explores how digital infrastructure can enable efficient process innovation through human-technology interaction studies.
Anthoula Poulia is a Researcher at the University of Oslo's Centre for Materials Science and Nanotechnology (Department of Physics) since June 2020. Previously, she served as a post-doctoral researcher at the Composite and Smart Materials Laboratory (2019–2020). Her research focuses on metallic alloys, particularly high entropy alloys, exploring their mechanical, tribological, magnetic, and thermoelectrical properties. She actively participates in projects like Magnificent (magnetic high-entropy alloys for renewable energy) and Allotherm (high-throughput thermoelectric alloy design). Education: Bachelor of Materials Science & Engineering, University of Ioannina, Greece (2012) Master's in Materials Science & Technology (School of Chemical Engineering, National Technical University of Athens, 2014) PhD in Materials Science & Engineering, University of Ioannina (2018) Research Interests: Anthoula’s work bridges materials synthesis and advanced characterization. She investigates how processing techniques (e.g., additive manufacturing) influence microstructure and functional properties in complex alloys. Her recent studies emphasize nanoscale magnetic behavior and thermoelectric applications of high-entropy alloys. This interdisciplinary approach aims to develop materials for clean energy and advanced technologies. Projects & Labs: She collaborates with the Composite and Smart Materials Laboratory and contributes to UiO’s Solid-state Physics and Quantum Technology research group. Her work integrates computational modeling and experimental analysis to optimize alloy design.
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