Find Academic Supervisors

• Analytic Number Theory
• Computational Number Theory
• Dynamical Methods
• +3 more

Pankaj Vishe is a Research Fellow (Gustafsson Postdoc) at the KTH Royal Institute of Technology, affiliated with the Department of Mathematics under the School of Engineering Sciences. He collaborates with Prof. Par Kurlberg and focuses on analytic number theory, computational number theory, and dynamical methods with applications to L-functions and the circle method. Education: PhD in Mathematics from the Courant Institute of Mathematical Sciences, NYU (2005–2010) under Prof. Akshay Venkatesh. Previous positions include Visiting Researcher roles at the Max Planck Institute for Mathematics (MPIM, Bonn, 2011) and École Polytechnique Fédérale de Lausanne (EPFL, 2010). Research Interests: His work bridges analytic number theory and dynamical systems, particularly leveraging computational techniques to study L-functions, the circle method, and their applications in number fields. Recent projects include collaborative work with Andreas Strömbergsson and Tim Browning on cubic hypersurfaces and algorithmic advancements for L-function computations. Teaching Experience: At NYU, he instructed courses in probability, statistics, calculus, and real/complex analysis between 2006–2010, including roles as grader, teaching assistant, and course instructor. Affiliations: Active in KTH’s Analysis and Dynamics Seminar (DNA), linked to DNA-L research groups, and maintains ties with colleagues like Tristan Freiberg and Samuel Holmin.

Gaurav RaiView profile

Researcher

• Computer Graphics
• Computer Vision
• Image Processing
• +3 more

Gaurav Rai is a Ph.D. researcher at Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), focusing on computer graphics, computer vision, and GPU computing. He has contributed to real-time animation frameworks and diffusion models for motion transfer. Ph.D. in Computer Science and Engineering (2020–present), IIIT Delhi B.Tech in Computer Science and Engineering (2016–2020), GKV Haridwar His research emphasizes creative algorithms for sketch-based animation and dynamic deformation. Recent work involves diffusion models with temporal consistency and motion-guided frameworks. Gaurav has published in top-tier conferences like SCA, GRAPP, and ICME, with a focus on computer graphics, deep learning, and multimedia. Earlier publications include applications in medical imaging and spam filtering. ACM Student Travel Grant for ICME 2025 CHANAKYA Doctoral Fellowship He has served as a teaching assistant for courses in Computer Graphics, Scientific Computing, and Linear Algebra at IIIT Delhi.

• Educational Technology
• Mathematics Education
• Programming Pedagogy
• +3 more

Ana Fuentes Martinez is a Senior Lecturer at Halmstad University, affiliated with the School of Education, Humanities and Social Sciences. Her work focuses on educational technology, programming pedagogy, and the intersection of mathematics and computing in teaching. She has extensively published on pandemic-era pedagogical adaptations, teacher training, and interdisciplinary curriculum design. Her research emphasizes practical acceptance models and the role of programming in fostering critical thinking in K-12 education. Research Themes Educational Technology Integration Programming in Mathematics Education Covid-19 Impact on Teaching Practices Teacher Professional Development Recent publications analyze the dual challenges and opportunities of online learning during crises, the role of soft skills in interdisciplinary PhD programs, and gender dynamics in programming education. Her work bridges theoretical educational frameworks with practical classroom applications.

• Machine Learning
• Predictive Maintenance
• Forklift Activity Recognition
• +5 more

Thorsteinn Rögnvaldsson is a Professor of Computer Science and Deputy Vice Chancellor for Research at Halmstad University. He leads the Center for Applied Intelligent Systems Research (CAISR), focusing on machine learning applications in predictive maintenance, healthcare, and satellite-based poverty analysis. His research spans meta-learning, survival analysis, and synthetic data generation. Education: Not explicitly listed in the provided texts, but inferred to include doctoral training in computer science or related fields given his academic rank. Research Interests: Machine learning for knowledge creation, predictive maintenance for heavy vehicles, forklift activity recognition, synthetic healthcare data, and satellite imagery analysis for poverty mapping. Collaborations include projects with Lund University on neural networks for satellite data interpretation. Articles Trends: Recent work emphasizes meta-learning frameworks, survival analysis model interpretability, and synthetic data evaluation. Key domains include healthcare, industrial IoT, and cross-domain adaptation. Awards: None explicitly listed in the provided texts. Grants/Advising: Coordinates CAISR's research projects and supervises doctoral students in applied machine learning. Active in industry partnerships, particularly with automotive and healthcare sectors. Labs/Teams: Director of CAISR, which hosts interdisciplinary teams in AI, IoT, and big data applications.

Anthony H. AletrasView profile

Professor

• Cardiovascular Magnetic Resonance Imaging
• Fetal Diagnostics
• Medical Imaging Technologies
• +3 more

Anthony H. Aletras is a dual-affiliated academic serving as a Researcher at Lund University's Lund Cardiac MR Group (Medical Faculty) and as Director/Professor of Biomedicine and Imaging Technologies at Aristotle University of Thessaloniki's School of Medicine. He holds a BSc in Electrical Engineering from Aristotle University and a PhD in Biomedical Engineering from The Ohio State University (1996). His postdoctoral work at NIH's Laboratory of Cardiac Energetics (until 2010) and prior role as Chairman/Professor at University of Thessaly (until 2014) further highlight his academic trajectory. Research focuses on cardiovascular MRI technology, fetal diagnostics, and innovations like DENSE strain imaging and CEST contrast agents. His work contributes to UN SDG goals in health and well-being. Notable achievements include pioneering Area-At-Risk determination via intramyocardial edema and advancing CMR perfusion mapping techniques. Recent projects include an advanced fetal imaging initiative (Swedish Research Council, 2024–2028) and technical developments in exercise cardiac MRI. His 91+ publications span MRI simulation, fetal blood oxygenation measurement, and infarct quantification validation across centers/vendors. Award-winning mentorship includes supervising student T. Lala in MRI research. His labs integrate medical imaging with AI and computational methods, emphasizing cloud-based simulation tools like coreMRI. Active collaborations span global institutions, reflecting his leadership in cardiovascular imaging innovation.

Lars HallView profile

Researcher

• Cognitive Science
• Decision Making
• Perception
• +3 more

Lars Hall is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on choice blindness, decision-making processes, and the integration of sensory feedback with cognitive self-monitoring. He is affiliated with the Choice Blindness Lab (http://www.lucs.lu.se/choice-blindness-group/), exploring how people fail to notice discrepancies between their intentions and outcomes. Research Interests: Choice Blindness and Introspection Sensory Feedback Mechanisms Decision Dynamics Social Judgment and Interaction Neuroscience of Perception Philosophy of Mind and Cognition Articles Trends: Hall's recent work (2020-2024) addresses how manipulated feedback influences attitudes, decisions, and emotional states. Key themes include false feedback's impact on voter behavior, intergroup dynamics, and neurotechnology implications. His studies often use experimental paradigms like real-time speech manipulation and gaze tracking. Awards: None explicitly listed in provided texts. Advising & Grants: Supervised PhD projects include neurocognitive basis of confabulation, semantic self-monitoring in speech, and eye movement intention studies. Active in Lund University's VR Lab and Cognition & Philosophy initiatives. Labs/Teams: Principal investigator at the Choice Blindness Lab, collaborating with interdisciplinary teams in neuroscience, psychology, and philosophy.

Philip PärnametsView profile

Researcher

• Social Psychology
• Cognitive Science
• Decision-Making
• +5 more

Philip Pärnamets is a Senior Research Specialist at Karolinska Institutet's Department of Clinical Neuroscience, working within the Social and Affective Learning and Decision-Making research group led by Andreas Olsson. He maintains dual affiliation with both the Department of Clinical Neuroscience and Department of Psychology at KI's Faculty of Medicine, reflecting his interdisciplinary approach to studying human decision processes. His research spans social psychology, cognitive science, and behavioral neuroscience, with particular expertise in moral decision-making, political psychology, and collective behavior during crises. Pärnamets has developed a distinctive research profile examining how social identity, moral values, and situational factors shape individual and collective responses to global challenges like pandemics and climate change. His work frequently employs cross-cultural methodologies, with numerous large-scale international collaborations spanning dozens of countries. Analysis of his recent publications reveals a strong emphasis on applying behavioral science to real-world problems, particularly in understanding pandemic responses and climate change attitudes across diverse cultural contexts. His research demonstrates sophisticated integration of cognitive neuroscience methods with social psychological theory to investigate the mechanisms underlying human cooperation and decision-making in complex social environments. As evidenced by his extensive collaborative network, Pärnamets works closely with leading researchers including Jay Van Bavel, Andreas Olsson, and other members of the Social and Affective Learning and Decision-Making group. His publication record shows consistent high-impact contributions across top journals in psychology, neuroscience, and interdisciplinary science.

• Artificial Intelligence
• Sensor Technologies
• Drug Delivery Systems
• +4 more

Professor Amit Kumar-Mishra is affiliated with Halmstad University's Department of Artificial Intelligence and Sensor Technologies. His research spans interdisciplinary areas including AI-driven solutions for precision agriculture, drug delivery systems, cancer biology, and molecular imaging. He has authored over 30 publications in 2024-2025 alone, focusing on topics like pH-responsive nanocarriers for cancer therapy, circular RNA roles in cytokine signaling, and weed management strategies in mustard crops. Notable research contributions include development of deep neural network architectures for sensor technologies, investigation of salt stress adaptations in eggplant, and exploration of proteases for cancer diagnostics. His work integrates machine learning with agricultural challenges, such as real-time weed detection systems and hydroponics automation. Recent studies also explore novel biomarkers for ovarian cancer detection using circulating DNA analysis. Publications demonstrate a strong focus on translational research with applications in both clinical oncology and agricultural productivity. His research bridges computational methods with biological systems, emphasizing cross-disciplinary innovation in healthcare and food security domains.

Gustavo Assis da SilvaView profile

Assistant Professor

• Topology Optimization
• Stress Constraints
• Manufacturing Uncertainties
• +5 more

Gustavo Assis da Silva is an Assistant Professor at Örebro University's School of Science and Technology, Department of Natural Sciences and Technology. His research focuses on topology optimization under uncertainties, stress constraints, and manufacturing tolerances. He leads research in the Mechanics and Materials group. Key research areas include robust design of compliant mechanisms, reliability-based optimization, and non-probabilistic methods for structural systems. His work addresses challenges in stress constraints, material variability, and geometric nonlinearities. His publications span top journals like Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering , emphasizing computational mechanics and engineering design. No scientific awards or student advising records are listed. Active research groups include Mechanics and Materials.

Mats SandbergView profile

Academic

• Thermal Engineering
• Environmental Engineering
• Building Technology
• +7 more

Mats Sandberg is a Senior Professor at Gävle University, specializing in energy systems and environmental engineering. His research focuses on indoor and urban environmental dynamics, particularly natural ventilation, airflow patterns in urban settings, and energy conservation in historical buildings. He employs advanced experimental methods such as wind tunnel testing, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to study ventilation efficiency, pollutant dispersion, and thermal plume behavior. His work integrates interdisciplinary approaches, addressing challenges like urban morphology impacts on air quality, building ventilation design, and sustainable energy solutions. Key projects include the development of the FAST-AIR tracer-gas system for indoor air quality assessment and studies on net escape velocity metrics for contaminant removal. Sandberg’s research also explores urban heat island mitigation strategies and the interplay between building geometry and airflow dynamics. Recent studies emphasize wind-driven ventilation, thermal plume interactions in urban clusters, and the application of scaled models for airflow simulation. His findings contribute to improving indoor environmental quality, energy efficiency in buildings, and urban sustainability.

Kari RönkköView profile

Professor

• User-Centered Design
• Artificial Intelligence in Education
• Sustainable Urban Development
• +4 more

Kari Rönkkö is a Professor in Informatics at the Department of Design, Faculty of Business, Kristianstad University. He leads the Design A* Research Collaboration (DARC) and specializes in user-centered design, AI integration in education, sustainable urban development, and interaction design. His research explores AI’s ethical implications, teacher roles in digital education, and bridging gaps between algorithms and human understanding. Education Background: Prior to Kristianstad University, Rönkkö held roles at Lund University and Blekinge Institute of Technology, focusing on computer science, software engineering, and work science education. Research Interests: His work spans AI literacy in education, sustainable city co-creation, sensor-based health monitoring, and participatory design. Key projects include 'UTAI' (AI in Education) and 'HÅSS' (Sustainable Urban Development), emphasizing ethical tech integration and community-driven solutions. Publications: Over 50 peer-reviewed articles and book chapters, including studies on AI’s impact on learning, cross-cultural AI adoption, and UX methodologies. Recent work highlights AI’s role in fostering creativity and addressing educational equity. Awards: Recognized as a 'Merited teacher' for innovative pedagogical approaches. Advising & Grants: Supervised 53+ students, including doctoral candidate M. Törnblom. Actively involved in funding initiatives and serves on academic review boards. Labs/Teams: Co-founder of DARC, fostering design-driven research collaborations across disciplines.

Christoffel KuenenView profile

Associate Professor

• Interaction Design
• Design Research Practices
• Aesthetics of Interaction
• +5 more

Christoffel Kuenen is an Associate Professor at the Umeå Institute of Design (UID), part of Umeå University. He serves as Deputy Program Director for the MFA Programme in Interaction Design and contributes to teaching across UID's programs. His research focuses on the aesthetics of interaction in digital systems, exploring how design mediates human-technology relationships. He holds a PhD from UID (2018) after a decade in industry roles including leading R&D in multinational companies. Key research areas include co-creation methodologies, embodied interaction, and the ethical implications of communication technologies. Education background: Industrial Design Engineering from Delft University of Technology (2002), with MIT MediaLab collaboration. Professional experience spans strategic design, product development, and international production systems. His work bridges design practice and theory, emphasizing education-research synergies. Current research projects include 'Bots’n People' (2020-2024) on perceptual crossing in videoconversations and 'CoDesign for Chronic Disease Management'. He is part of the Interpresence Institute research group. Publication themes revolve around co-creation frameworks, digital interaction aesthetics, and design research methodologies.

Karey HelmsView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Interaction Design
• Ethical Technology
• +3 more

Karey Helms is an Associate Professor of Design at the Umeå Institute of Design (UID), part of Umeå University, and a Digital Futures Postdoctoral Fellow at Stockholm University. She holds a BS in Architecture from the University of Virginia, a MFA in Interaction Design from UID, and a PhD in Interaction Design from KTH Royal Institute of Technology. Her research explores technology's role in non-traditional contexts such as care settings, outdoor environments, and bodily interactions. Key interests include regenerative material ecologies, ethical design for bodily fluids, and more-than-human design principles. She critiques how technology entangles with nondigital matter, advocating for responsible design that addresses bodily needs and environmental ethics. Her recent publications (2017–2025) focus on HCI, material interactions, and ethical frameworks for emerging technologies. Representative works include studies on 'leaky objects' in design, 'careful design' methodologies, and speculative ethics for bodily fluid interfaces. She has received the Digital Futures Postdoctoral Fellowship, supporting her interdisciplinary work at Stockholm University. While no specific grants or advising details are provided, her prior industry experience in IoT design informs her academic practice.

Seong-Gyu YangView profile

Researcher

• Statistical Physics
• Complex Systems
• Network Theory
• +3 more

Seong-Gyu Yang is a researcher in the Department of Physics at Umeå universitet, Sweden, holding a postdoctoral position within the IceLab research group. His work focuses on applying statistical physics to interdisciplinary problems in biology, ecology, and network theory. He completed his PhD at Sungkyunkwan University (South Korea), followed by postdoctoral research at the Asia Pacific Center for Theoretical Physics and the Korea Institute for Advanced Study. Yang’s current research investigates aging mechanisms through epigenetic clocks, leveraging stochastic models of DNA methylation dynamics in CpG clusters. This work aims to link methylation patterns to biological age prediction. His broader interests include network structures, ecological modeling, and complex systems analysis. He collaborates with Ludvig Lizana on projects like the 2022–2025 initiative studying epigenetic clocks as biomarkers for aging. Notable research trends include interdisciplinary applications of statistical physics to biological systems (e.g., protein-DNA interactions), network theory, and social dynamics. His publications span topics from phase transitions in coupled oscillators to machine learning for power-grid stability. Yang participates in the Ludvig Lizana Lab and IceLab (Interactive Control and Learning Lab), focusing on theoretical and computational approaches to complex systems.

Elizabeth Van CouveringView profile

Assistant Professor

• Political Economy of Digital Media
• Search Engine Algorithms
• Data Visualization
• +3 more

Elizabeth Van Couvering is an Assistant Professor of Media and Communication Studies at Karlstad University, Sweden. She holds a PhD from the London School of Economics and Political Science, an MBA from the Open University, and a BA in Cultural Anthropology from Bryn Mawr College. Her research focuses on the political economy of digital platforms, search engines, algorithmic gatekeeping, and gig economy labor dynamics. She also explores data visualization and climate communication. Teaching responsibilities include media theory, strategic communications, science and technology studies, and data visualization courses. Current research projects include 'Algorithms and media organisations' and 'SWEGIG' (job intermediary platforms in Sweden). Her work draws from over three decades of industry experience in digital media, including roles at early internet companies like Cyberia, Easynet, and Webmedia. Education: PhD, London School of Economics and Political Science (2002) MBA, Open University BA, Bryn Mawr College Her research highlights platform power structures, algorithmic accountability, and the socio-economic impacts of digital transformation. Recent work examines AI chatbots' political information retrieval and gig workers' resistance to algorithmic management. She has co-authored influential studies on search engine bias, media literacy, and VR immersion theory. Professional activities include advising projects for Nielsen Online and IAB Europe, while personal interests bridge technology and textile crafts—she has hacked knitting machines using Arduino chips. She collaborates with Karlstad colleagues on interdisciplinary projects and teaches in Swedish ("och svenska!").