جست‌وجوی استاد و پژوهشگر

• Multiobjective Optimization
• Multi-criteria Decision Making
• Mathematical Modeling
• +۴ مورد دیگر

Babooshka Shavazipour is an Academy Research Fellow at the University of Jyväskylä's Faculty of Information Technology, where she leads the Multiobjective Optimization Group. She holds a PhD from the University of Cape Town (2018) and specializes in developing computational frameworks for complex decision-making scenarios. Her research integrates: Multiobjective optimization under uncertainty Interactive decision support systems Robustness and risk analysis methodologies Machine learning applications in healthcare and materials science Scenario planning for sustainable resource management Her publications (2021-2026) demonstrate strong cross-disciplinary applications, including: Healthcare cost prediction and therapy optimization Forest landscape planning under uncertainty Metallurgical property optimization Evolutionary algorithm enhancements These works consistently feature interactive frameworks that bridge theoretical optimization with practical decision-making needs. She leads several key initiatives: HYDRA project on anti-fragile decision-making Collaboration with Skogforsk on forestry decision support University's DEMO profiling area in decision analytics Her Multiobjective Optimization Group develops methodologies to resolve conflicting objectives in real-world applications, emphasizing stakeholder-centered computational approaches.

• Social Network Analysis
• Mental Health Informatics
• Blockchain Applications
• +۳ مورد دیگر

Barbara Esther Keller is a Lecturer in the Department of Computer Science at Aalto University. Her research spans interdisciplinary domains including social network analysis, mental health informatics, blockchain applications, and distributed systems. She contributes to computational social science through empirical studies on social media discourse dynamics and public opinion formation. Research areas: Social media analytics, mental health, blockchain, load balancing, complex systems Key collaborations: Aalto University Complex Systems (Cxsys) group Her recent publications focus on social media dynamics during geopolitical events, pandemic-related sentiment analysis, and decentralized system design. She utilizes data science methodologies to explore interdisciplinary challenges in digital sociology and e-commerce technologies. Contact: barbara.keller@aalto.fi | Phone: +358505705344

Juha Sorvaمشاهده پروفایل

مدرس ارشد

• Education
• Educational Psychology
• Learning to Program
• +۸ مورد دیگر

Juha Sorva is a Senior Lecturer at Aalto University's School of Science and a leading researcher in computing education. His work focuses on introductory programming education , software visualization , and cognitive load theory in learning contexts. Research Themes: Educational Technology, Learning Analytics, Notional Machines, Visual Program Simulation, Instructional Design, and Media Computation. Leadership: Developed Aalto University's first MOOC, received multiple teaching awards, and pioneered tools like UUhistle for program visualization. His recent publications highlight graphics-based programming instruction , LLM applications in programming support , and fine-grained analysis of learning behaviors . Key awards include the CICERO Best Doctoral Dissertation Award (2013) , Aalto High 5 Award (2015) , and Teaching Development Award (2014) . Scientific Awards: CICERO Best Doctoral Dissertation Award (2013) Aalto High 5 Award for Education (2015) Teaching Development Award (2014) Teacher of the Year (2007)

• Security and Privacy
• Hardware Security
• Cryptography
• +۷ مورد دیگر

Lachlan Gunn is a University Lecturer in the Department of Computer Science at Aalto University , focusing on security and privacy research. He leads the Lecturer Gunn Lachlan group within the Computer Science Security and Privacy research area. Research Focus : Hardware security, cryptographic authentication, network security, and anomaly detection using machine learning Key Collaborations : N. Asokan, Hans Liljestrand, Thomas Nyman, Bruno Vavala Email: lachlan.gunn@aalto.fi Publication Trends : Recent work emphasizes hardware-assisted security mechanisms (2024), cryptographically-secured data structures (2022), and game-theoretic approaches to cybersecurity (2019). His 2020-2018 publications span machine learning applications in satellite communications and secure distributed systems.

• Operations Research
• Systems Analysis
• Decision Analysis
• +۳ مورد دیگر

Mikko Harju is a Doctoral Researcher at Aalto University's Department of Mathematics and Systems Analysis. His work intersects Operations Research, Systems Analysis, and computational modeling, with applications in decision theory, radar technology, and ballistics optimization. Aalto University: Doctoral Researcher, Dept. Mathematics and Systems Analysis Research Interests Operations Research Systems Analysis Decision Analysis Machine Learning Radar Technology Ballistics Optimization Publication Trends His research spans theoretical foundations of decision-making and practical applications in defense systems. Keywords across publications include Bayesian networks, performance prediction, and dynamic modeling. Subfields highlight interdisciplinary work in computational mechanics, signal processing, and multi-attribute decision frameworks.

• Speech Recognition
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Mittul Singh is a Research Fellow at the Department of Information and Communications Engineering at Aalto University , specializing in Speech Recognition and Low-Resource Language Processing . Their work focuses on improving automatic speech recognition (ASR) systems for underrepresented populations, including children and speakers of resource-constrained languages. They are actively involved in developing AI-powered educational tools for language learning and advancing cross-lingual transfer learning techniques. Current Position: Research Fellow, Aalto University Research Areas: Speech Recognition, Low-Resource NLP, Machine Learning, Educational Technology Email: mittul.singh@aalto.fi

• Biopolymer Chemistry
• Biosystems Engineering
• Nanocellulose Applications
• +۳ مورد دیگر

Daria Robertson is a Doctoral Researcher at Aalto University, affiliated with the Bioproducts and Biosystems department. Her research focuses on biopolymer chemistry and engineering, particularly in nanocellulose-based materials, lignin applications, and carbonization processes. The most recent publications highlight her contributions to sustainable materials science, including self-extinguishing hybrid foams, 3D-printed lignin-cellulose composites, and carbon fiber fabrication. Her work spans additive manufacturing, electrochemical CO₂ reduction, and energy storage technologies. For collaborations or inquiries, contact her at daria.robertson@aalto.fi.

• Microbial Physiology
• Metabolic Engineering
• Systems Biology
• +۳ مورد دیگر

Paula Jouhten is an Associate Professor in Bioproducts and Biosystems at Aalto University, specializing in microbial physiology and metabolic engineering. Her research focuses on predictive evolution of metabolic phenotypes, synthetic growth regulation, and industrial yeast biotechnology. Key Research Areas: Systems biology of yeast metabolism, model-guided strain optimization, and CO2 valorization. Collaborations: Works with interdisciplinary teams across molecular biology, computational modeling, and industrial biotechnology. Her publications highlight innovative applications of machine learning in strain design and metabolic pathway engineering for sustainable chemical production.

• Mechatronics
• Electric vehicles
• Control engineering
• +۴ مورد دیگر

Subhadyuti Sahoo is a Doctoral Researcher at the Department of Energy and Mechanical Engineering, School of Engineering, Aalto University. His research intersects Mechatronics, Electric vehicles, and Control engineering, with a focus on Data science and Deep learning applications in energy systems. Affiliation: Aalto University, School of Engineering, Department of Energy and Mechanical Engineering Email: subhadyuti.sahoo@aalto.fi Specializing in Mechatronics and Control engineering, his work addresses Energy management challenges in Electric vehicles through advanced Model-Based Control techniques. His research particularly targets Bearingless Electric Motors for High-Speed Applications. Analysis of his 2018 publications reveals a consistent focus on optimizing Bearingless Motor performance via Mechatronics integration, combining Energy Management principles with Industrial Control Systems. Both studies emphasize High-Speed Applications and precision control in electric motor design. Affiliated with Aalto University's Mechatronics research group, his work aligns with broader institutional efforts in sustainable energy technologies and intelligent control systems.

• Machine Learning
• Quantum Systems
• Quantum Information Theory
• +۶ مورد دیگر

Adrian Sebastian Müller is a Doctoral Researcher in the Department of Computer Science at Aalto University. His research focuses on applying machine learning techniques to study quantum systems, particularly methods designed for quantum computers. He also explores quantum information theory, complex systems theory, and related pure mathematics, while engaging with interdisciplinary topics such as ethics of AI, psychological studies of the mind in therapeutic contexts, and metaphysics. His work emphasizes collaborative research in areas like variational methods on quantum computers, singular learning theory, and machine learning applications to social sciences (e.g., institutional theory). Müller advocates for inclusive and safe work environments, aligning with DEI principles. He is open to collaborations and debates, maintaining a flexible perspective on research challenges.

• Materials Chemistry
• Biomaterials
• Textile Engineering
• +۳ مورد دیگر

Laura Katariina Koskelo is a Researcher at Aalto University's School of Chemical Engineering , specializing in the Department of Bioproducts and Biosystems . Her work bridges materials chemistry and textile innovation, focusing on sustainable bio-based materials and smart polymer systems. Research Focus: Cellulose-based materials, thermally-activated actuators, and climate-responsive textile design Collaborations: Active in interdisciplinary projects like "Designs for a Cooler Planet" and "Textile Intersections" Techniques: Integrates machine learning with experimental materials science for data-efficient optimization Key Themes: The articles reveal a trajectory toward sustainable materials engineering, with emphasis on renewable cellulose derivatives (keywords: Materials Science, Biomaterials ) and machine learning-driven optimization of smart systems (sub-fields: Actuators, Machine Learning Applications ).

• Biomechanical Simulation
• 3D Target Inference
• Human-Computer Interaction
• +۳ مورد دیگر

Chenyu Li is a Doctoral Researcher at Aalto University's Department of Computer Science in Espoo, Finland. Their work focuses on real-time 3D target inference through biomechanical simulation, combining computer science with human factors research. Their research interests span biomechanical simulation, 3D modeling, and human-computer interaction, with particular emphasis on real-time systems and machine learning applications in computer graphics. Recent publications highlight interdisciplinary work merging computational modeling with biomechanics. Current output includes one notable article presented at the CHI Conference on Human Factors in Computing Systems (CHI '24).

• Operations Research
• Healthcare Management
• Competition Law
• +۳ مورد دیگر

Amanda Eklund is a Doctoral Researcher at Aalto University's School of Business, Department of Industrial Engineering and Management. Her work spans healthcare systems, military logistics, and competition law domains. Awarded Yrjö and Senja Koivunen Foundation grant Recognized in Aalto University School of Business Dean's List (2023) Research interests focus on operational efficiency in public healthcare, algorithmic market behaviors, and military logistics optimization. Current projects include analyzing emergency department mergers, satellite navigation applications in defense, and patient pathway utilization. Publications: 8 recent works (2023-2025) across multidisciplinary venues Collaborative approach evident through 7 co-authored papers with military and healthcare experts Key themes: system integration, operational research, and regulatory frameworks Scientific awards include foundational grant support and academic recognition. Active in cross-sector collaborations combining engineering and management principles for public sector challenges.

Robin Welschمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Social Robotics
• +۴ مورد دیگر

Robin Welsch is an Assistant Professor in the Department of Computer Science at Aalto University, specializing in Human-Computer Interaction (HCI) with strong interdisciplinary connections to psychology. Their work bridges computer science and cognitive/clinical psychology, focusing on virtual reality, social robotics, and human augmentation technologies. Affiliated with both the Engineering Psychology (ENGPSYCH) and Human-Computer Interaction and Design (HCID) research areas, Welsch maintains an active international research profile with publications in top-tier venues including CHI, IEEE Transactions, and PLOS One. Research interests center on the psychological and behavioral aspects of emerging technologies. Key areas include interpersonal distance regulation in virtual environments, social dynamics in VR/AR, cognitive and placebo effects of AI augmentation, and ethical considerations in human-robot interaction. Their work frequently examines how psychological factors (social anxiety, psychopathy traits, aging) influence technology interaction, with strong emphasis on experimental methodologies combining physiological sensing, behavioral observation, and computational analysis. Recent publications (2023-2025) reveal three dominant trends: 1) Social VR research exploring proxemics, privacy, and gaze behavior; 2) Investigations into placebo effects and performance expectations in human-AI interaction; 3) Methodological contributions to bias detection in ML annotation and AR social media applications. This work consistently applies rigorous experimental psychology frameworks to HCI problems. Award highlights: CHI PLAY 2023 Honorable Mention for VR locomotion research Welsch actively collaborates across institutions (Germany, Finland, Australia) and disciplines, with notable partnerships in psychology departments and HCI labs. While specific grant details aren't provided, the volume and venue quality of publications suggest sustained research funding. Current work shows increasing focus on generative AI's impact on design processes and ethical implications of emerging interaction paradigms. Research occurs within Aalto University's Engineering Psychology and HCID groups, with emphasis on experimental VR/AR setups and physiological measurement systems. Recent projects involve social VR scenarios, location-based AR applications, and human-robot interaction studies in public spaces.

Enrico Glereanمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Neuroimaging
• Functional MRI
• +۷ مورد دیگر

Dr. Enrico Glerean is a Staff Scientist at the Aalto School of Science , core member of Aalto Scientific Computing (managing the Triton high-performance computing cluster), and active in research software training. He contributes to GDPR compliance, data anonymization, and secure research workflows as part of the Aalto Data Agents network , European Data Protection Board, and Finnish Reproducibility Network . His academic affiliation is with the Department of Neuroscience and Biomedical Engineering . Expertise: Cognitive neuroscience, brain imaging, open science advocacy Leadership: Academic Affairs Committee, Making Waves initiative for women in STEM His research combines neuroimaging with real-world digital phenotyping , focusing on functional brain connectivity, embodied emotions, and MRI methodological development. Recent work explores environmental influences on brain networks (2024) and emotion-body mapping (2024). Publications span journals like NeuroImage and PLoS Biology , often integrating machine learning with neuroscience. Scientific awards include: 16th Novartis Neuroscience Award (2016) Best doctoral dissertation 2016 (Aalto School of Science) Aalto Scientific Communication Award (2018) Kordelin Foundation scholarship (2018) He contributes to research ethics education and promotes responsible generative AI use. His work bridges technical computing expertise with cognitive neuroscience applications, particularly in autism spectrum disorders and emotion processing.