جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Mechanics
• Computational Mechanics
• +۲ مورد دیگر

Athanasios Markou serves as a University Lecturer in the Department of Civil Engineering at Aalto University, Finland, affiliated with the Structures research group specializing in Structural Engineering, Mechanics, and Computation. His academic role integrates teaching with experimental and computational research on innovative structural systems, particularly focusing on geometrically nonlinear behavior validated through advanced techniques like high-speed imaging and photogrammetry. His research interests span Structural Engineering, Mechanics, and Computational Methods, with emphasis on bending-active and twisted structures, kinematic pavilions, and chain dynamics. He investigates material reuse in sustainable construction, elastic torsion systems, and base isolation for seismic protection, often blending architectural design with engineering principles to develop efficient structural forms. Analysis of his 2019-2024 publications reveals consistent exploration of nonlinear structural behavior through experimental-computational synergy. Key trends include bending-active beam elements, falling chain dynamics, and torsion-based systems like the 'Zero Gravity' series, frequently resulting in open datasets and physical prototypes. His interdisciplinary collaborations emphasize sustainable material use and kinematic innovation in architectural applications. Within Aalto University's Structures research group, Markou contributes to cutting-edge work on structural morphology and computational mechanics. The group pioneers bending-active elements and sustainable construction methodologies, utilizing photogrammetry and high-speed imaging for data-driven validation while advancing material-efficient design paradigms through physical prototyping.

• Game Studies
• Game Development Culture
• Digital Culture
• +۴ مورد دیگر

Solip Park is a Researcher at Aalto University's School of Arts, Design, and Architecture , affiliated with the Department of Art and Media . She is also a doctoral student in the Department of Media, focusing on digital game production culture and immigrant/expatriate game creators . Prior to her academic work, Park co-founded the Nexon Computer Museum in Jeju, South Korea, and has worked in international roles at game companies and startups across the USA, South Korea, and Finland. As a freelance translator and comic artist , she integrates creative methods into her research. Education : Master of Arts (Aalto University) Park's research explores the preservation of game culture through comparative studies of institutions like the Finnish Museum of Games and Nexon Computer Museum. Her methodological innovation combines comic-based research and visual discourse analysis to engage the public. Key themes include translocality , praxiology , and international relations in game development. Her publications span topics like loot box regulation , cross-cultural game jams , and global-local dynamics in the game industry. Park's work has been recognized in the Finnish Game Thesis Competition 2020 and the CHI Conference (honorable mention). Scientific Awards : Honorable mention in CHI Conference on Human Factors in Computing Systems Finnish Game Thesis Competition 2020 award for her Master's thesis Park's interdisciplinary approach bridges game studies , visual arts , and entrepreneurship , reflecting her diverse career trajectory. She actively contributes to game research through empirical studies and public engagement.

Jan Sher Akmalمشاهده پروفایل

استادیار

• Additive Manufacturing
• 3D Printing
• Mechanical Engineering
• +۴ مورد دیگر

Jan Sher Akmal is an Assistant Professor at the Department of Energy and Mechanical Engineering, Aalto University. His research focuses on additive manufacturing (AM), digital manufacturing, and integrating artificial intelligence into metal AM processes. He actively contributes to advancements in 3D/4D printing, self-sensing materials, and industrial AM adoption strategies. Current affiliation: Aalto University Department: Energy and Mechanical Engineering Email: jan.akmal@aalto.fi Research Interests Jan's work spans Additive Manufacturing , Materials Science , and Digital Transformation . Key areas include defect detection using AI, 4D printing of smart materials, exposure measurement systems, and legal/strategic aspects of AM adoption. His research often intersects mechanical engineering with industrial applications, emphasizing sustainability and cost efficiency. Scientific Awards Doctoral dissertation award, Finnish Production Planning and Control Society (2022-2023) Aalto Doctoral Incentive Scholarship (2023) Labs & Teams Member of the Materials to Products research group at Aalto University, collaborating on interdisciplinary projects involving AM process optimization and functional material development.

Nadia M. Adyمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Computational Creativity
• Reinforcement Learning
• +۳ مورد دیگر

Nadia M. Ady serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University, specializing in artificial intelligence with a focus on computational creativity and intrinsic motivation. Her research explores how to imbue machines with traits of creativity and curiosity through intrinsically motivated learning algorithms, particularly within reinforcement learning frameworks. Her primary research interests span artificial intelligence, machine learning, and cognitive science, with specific emphasis on formalizing psychological concepts like curiosity and competence from Self-Determination Theory for AI applications. She investigates the landscape of intrinsically motivated learning algorithms, diversity progress in goal selection, and the implementation of specific curiosity mechanisms in machine learning systems. Her work bridges theoretical cognitive models with practical AI implementations, often addressing how human variables influence creative AI development. Ady's publication record (2022-2025) reveals a strong interdisciplinary trajectory connecting cognitive science, reinforcement learning, and human-computer interaction. Key themes include the formal specification of competence needs in AI, discriminability-motivated goal selection, and applications of intrinsic motivation to virtual reality environments like dance visualization. Her research consistently addresses the challenge of translating human cognitive traits into computational frameworks while maintaining scientific rigor in modeling psychological constructs. She actively collaborates within Professor Christian Guckelsberger's research group, working alongside researchers including Erik Lintunen, Sebastian Deterding, Markus Laattala, and Perttu Hämäläinen. This collaborative environment spans multiple disciplines, facilitating publications in premier venues such as the Cognitive Science Society, CHI Conference on Human Factors in Computing Systems, and the International Conference on Computational Creativity. Her current projects focus on formalizing curiosity mechanisms and exploring their applications in creative domains and human-AI interaction scenarios.

• Marine Engineering
• Combustion Technology
• Control Systems Engineering
• +۳ مورد دیگر

Amin Modabberian is a Researcher at Aalto University , affiliated with the Autonomous Systems research group. His work focuses on advanced control systems and combustion modeling for marine and diesel engines, integrating machine learning techniques for predictive control and diagnostics. Research Interests: Combustion dynamics, predictive control, marine propulsion systems, emissions reduction, and machine learning applications in engine diagnostics. Publication Trends: His recent studies (2023–2024) emphasize real-time model-predictive control for RCCI engines, ML-driven emissions prediction, and HF propagation analysis via CubeSats, reflecting synergies between marine engineering and computational methods.

• Materials Science
• Mechanical Engineering
• Computational Materials Engineering
• +۳ مورد دیگر

Zinan Li is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering. Their research focuses on microstructure modeling, crystal plasticity modeling, and integrated computational materials engineering (ICME) approaches. Affiliation: Aalto University Department: Energy and Mechanical Engineering Research Group: Materials to Products Their work explores microstructure-mechanical properties correlation of additive manufacturing (AM) steels and data-driven model development using machine learning. Key research themes include anisotropic fracture behavior, edge fracture analysis, and computational modeling of advanced high-strength steels. Recent publications demonstrate trends in combining experimental data with simulations for fracture prediction in metallic materials. Studies focus on laser powder bed fusion, quenching and partitioning steels, and dual-phase steel mechanics.

• Marine Engineering
• Arctic Technology
• Ship Safety
• +۳ مورد دیگر

Teemu Manderbacka is a Professor at Aalto University's Department of Energy and Mechanical Engineering. He is affiliated with the Marine and Arctic Technology research group, focusing on maritime safety, risk assessment, and computational modeling. Primary Affiliation: Aalto University, Department of Energy and Mechanical Engineering Research Group: Marine and Arctic Technology His research integrates artificial intelligence and big data analytics into maritime engineering challenges, particularly collision damage prediction, air lubrication systems, and flooding risk monitoring for ships. Recent work emphasizes operational safety and environmental data integration . Key trends in his publications (2016–2025) include: Application of deep learning and convex optimization to maritime scenarios Development of accident susceptibility indices for passenger ships Advancements in CFD modeling for ship systems Focus on Arctic technology and environmental resilience

Mikko Suominenمشاهده پروفایل

استادیار

• Ship performance in ice
• Ice-induced loads on ship hulls
• Marine engineering
• +۴ مورد دیگر

Mikko Suominen is an Assistant Professor at the Department of Energy and Mechanical Engineering , Aalto University , specializing in ship performance in ice and ice-induced loads on ship hulls . His work focuses on measurement methods and technologies for both model-scale and full-scale testing in icy environments. Expertise areas : Maritime Technology, Environmental Engineering, Mechanical Engineering Testing focus : Baltic Sea, Canadian Arctic, and Antarctic waters Methodologies : Model-scale testing, scaling methods, full-scale measurements Collaborations : Research groups in Marine and Arctic Engineering Contact: mikko.suominen@aalto.fi | Full profile

• Thermal Engineering
• Heat Transfer
• Renewable Energy Systems
• +۳ مورد دیگر

Mohib Rehman is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering. His work focuses on thermal engineering , heat transfer enhancement , and fluid dynamics with applications in renewable energy systems and microchannel heat sinks . He is affiliated with the Energy Conversion and Systems research group. Research Interests Thermal-Hydraulic analysis of heat exchangers Nanofluid and phase-change material applications Microchannel optimization for cooling systems Jet impingement cooling techniques Energy conversion and sustainable technology Publications highlight his expertise in delta-nabla channel configurations , gravitational water vortex exchangers , and ribbed microchannel designs . His work integrates computational fluid dynamics and experimental validation to improve thermal efficiency across diverse applications.

Mohammad Doostaranمشاهده پروفایل

پژوهشگر

• Soft Matter Physics
• Biophysics
• Fluid Dynamics
• +۳ مورد دیگر

Mohammad Doostaran is a Doctoral Researcher at the Department of Applied Physics, Aalto University. His work focuses on soft matter systems and their interactions with fluid dynamics. Affiliation: Aalto University Department: Applied Physics Research Interests: Soft Matter Physics Biophysics Fluid Dynamics Materials Science His recent research explores mechanical deformations in lipid-based microstructures under microscale fluid flows, contributing to understanding colloidal interactions and soft material behavior.

Stephan Siggمشاهده پروفایل

استاد

• Distributed Systems
• Ubiquitous Computing
• RF Sensing
• +۵ مورد دیگر

Stephan Sigg is a Professor at Aalto University's Department of Information and Communications Engineering, where he leads the Ambient Intelligence research group . His research focuses on algorithm design for distributed systems, including RF sensing, context-based security, and device-free activity recognition. He serves on editorial boards for Elsevier Journal on Computer Communications and Springer Personal and Ubiquitous Computing , and actively contributes to conferences like IEEE PerCom and ACM Ubicomp. Research Interests: Dr. Sigg specializes in proactive computing, distributed adaptive beamforming, mobile crowdsourcing, and secure spontaneous device pairing. His work bridges wireless communication, machine learning, and ubiquitous systems to develop context-aware solutions for IoT environments. Publication Trends (2019-2025): Recent works demonstrate a strong emphasis on RF-based sensing (WiFi/mmWave radar/RFID) for human activity recognition, 5G-integrated sensing, privacy-preserving AI (federated learning), and healthcare applications. Multimodal approaches combining radar, video, and physiological signals are prominent. Awards: Summa cum laude dissertation honors in Computer Science (2008) VDI-Nordhessen Outstanding Dissertation Prize (2009) Research Leadership: Leads the Ambient Intelligence group exploring RF sensing, edge AI, and human-computer interaction. Collaborates extensively with industry on 5G/6G applications and IoT security. Supervises doctoral candidates in wireless systems and ubiquitous computing.

Sebastiano Peottaمشاهده پروفایل

پژوهشگر ارشد

• Quantum Physics
• Condensed Matter Physics
• Superconductivity
• +۳ مورد دیگر

Dr. Sebastiano Peotta is a Research Fellow at Aalto University's Department of Applied Physics, specializing in quantum dynamics and theoretical condensed matter physics. His work focuses on superconductivity, superfluidity, and the role of quantum geometry in flat band systems, particularly in ultracold atomic gases and twisted multilayer materials. Research Focus: Quantum geometry, superfluid weight, flat band systems, and dynamical phase transitions Key Collaborations: Quantum Dynamics research group at Aalto University His publications reveal a strong emphasis on generalized random phase approximation methods and disorder effects in superconductors. He has explored Josephson junctions in graphene double layers, many-body localization phenomena, and effective theories for flat band superconductivity. Scientific Awards: Academy Research Fellow

• Scanning Probe Microscopy
• Atomic Force Microscopy
• Machine Learning in Microscopy
• +۳ مورد دیگر

Niko Oinonen is a Visiting Professor at the Department of Applied Physics , Aalto University, specializing in scanning probe microscopy and atomic force microscopy (AFM) techniques. His research focuses on integrating machine learning with nanoscale surface analysis to automate tip functionalization, image interpretation, and structure discovery. Collaborations include researchers from Aalto University and international institutions. Research Trends: Recent work emphasizes computational methods for AFM image analysis, automated microscopy workflows, and machine learning-driven molecular reconstruction. Publications span journals like ACS Nano , Computer Physics Communications , and Science Advances . Contact: Email: ext-niko.oinonen@aalto.fi

Marcel Wagenländerمشاهده پروفایل

پژوهشگر

• Machine Learning Systems
• Distributed Machine Learning
• Gaussian Processes
• +۳ مورد دیگر

Marcel Wagenländer is a Researcher at Imperial College London , affiliated with the Large-Scale Data & Systems Group (LSDS) . His research focuses on Machine Learning Systems , particularly Distributed Machine Learning , Gaussian Processes , and AI Systems , supervised by Professor Peter Pietzuch and collaborating with Professor Mark van der Wilk. His recent publications span top venues like SOSP 2024, HotCloud 2020, and OSDI 2020, addressing challenges in resource management, distributed training, and probabilistic inference. He also contributes to improving benchmarking for Gaussian Process approximations. Marcel earned his Bachelor of Science and Master of Science in Informatics at the Technical University of Munich and is currently interning at Meta in the AI and Systems Co-Design team.

• Additive Manufacturing
• Materials Science
• Artificial Intelligence
• +۳ مورد دیگر

Xinyi Yin is a Doctoral Researcher affiliated with the Department of Energy and Mechanical Engineering at Aalto University . They are associated with the research group Materials to Products and contribute to advancements in metal additive manufacturing. Their work focuses on leveraging artificial intelligence for defect detection and localization in 3D printing processes. Research Focus: Additive Manufacturing, Materials Science, Artificial Intelligence Publications: 1 recent article on AI-driven defect detection in metal 3D printing (2025) Email: xinyi.yin@aalto.fi | Phone: +358503134103