Find Academic Supervisors

• Soft matter modeling
• electrospray deposition
• colloidal transport
• +5 more

Xin Yong serves as an Associate Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo, where his research spans soft matter physics, nanomaterial synthesis, and biological interface engineering. His academic foundation includes: PhD in Mechanical Engineering from Rensselaer Polytechnic Institute (2012) BS in Physics and Economics from Peking University (2007) Dr. Yong's work integrates computational and experimental approaches to investigate: Electrospray-based nanomaterial fabrication and particle assembly Nanoparticle-membrane interactions across biological systems Hydrodynamics of active matter and microswimmers Mechanisms of bacterial outer membrane vesicle biogenesis Environmental impacts of microplastics and quantum dots Analysis of his 2022-2025 publications reveals dominant themes in bacterial membrane mechanics, nanoparticle-biological system interactions, and Janus particle engineering. His methodology combines molecular dynamics, machine learning-enhanced simulations, and optical characterization to address challenges in nanomedicine and environmental nanotechnology. His research excellence is recognized through: Binghamton University Watson School Early Stage Distinguished Research Award (2020) ACS Petroleum Research Fund Doctoral New Investigator Award (2016) NYS/UUP Individual Development Awards (2016, 2017) Supported by competitive grants including the ACS PRF award, his program likely mentors graduate students in computational nanomechanics while collaborating with microbiology and environmental science teams. His current work focuses on membrane stress phenomena and nanoparticle transport dynamics. Though specific lab infrastructure isn't detailed in source materials, his electrospray and optical coherence tomography research suggests advanced nanofabrication and imaging capabilities within university core facilities.

Xiaoyun ShaoView profile

Professor

• Structural Engineering
• Seismic Analysis
• Real-Time Hybrid Simulation
• +5 more

Dr. Xiaoyun Shao is a Professor of Civil and Construction Engineering at Western Michigan University (WMU), serving as faculty advisor and director of the Laboratory of Earthquake Structural Simulation. Her expertise spans structural engineering, seismic analysis, real-time hybrid simulation, and natural hazard mitigation. She holds a Ph.D. from the University of Buffalo and M.S./B.S. degrees from Tongji University. As a Professional Engineer (PE) in Michigan, she focuses on advancing experimental methods for infrastructure resilience. Education: Ph.D. in Structural Engineering, University at Buffalo, SUNY (2004) M.S. in Structural Engineering, Tongji University, China (2001) B.S. in Structural Engineering, Tongji University, China (1998) Research Interests: Real-time hybrid simulation techniques for coupled systems (e.g., vehicle-bridge, train-bridge) Seismic response of soft-story wood-frame buildings and retrofit strategies Dynamic behavior of offshore wind turbines and floating structures Advanced materials in construction (elastomeric adhesives, SMA devices) BIM interoperability and digital twin applications Her lab develops innovative testing platforms, including distributed real-time hybrid systems for floating wind turbines and full-scale seismic experiments. Recent work includes interdisciplinary collaborations on adhesive roof construction and computational methods for NHERI projects. Awards and Recognition: Not explicitly listed in provided text. Advising and Grants: Leads the LESS lab’s Ph.D. recruitment for 2025, focusing on natural hazard engineering. Collaborates with teams on NSF-funded projects involving hybrid testing and energy systems. Labs/Teams: Director of WMU’s Laboratory of Earthquake Structural Simulation; member of interdisciplinary teams analyzing floating offshore wind turbines and seismic retrofits.

Patrizia CantonView profile

Professor

• Physical Chemistry
• Materials Science
• Transmission Electron Microscopy
• +6 more

Patrizia Canton is a Full Professor at the Department of Molecular Sciences and Nanosystems of Ca' Foscari University of Venice , where she serves as Deputy Director. Her research focuses on structural characterization of nanomaterials using advanced techniques like Transmission Electron Microscopy and X-ray Diffraction, with applications in quantum dots , catalysis , and photothermal agents . She leads the Responsible for Teaching and Research Activities in the Laboratory (RDRL) and supervises multiple international research collaborations. Key research areas: Physical Chemistry, Nanotechnology, Spectroscopy Recent publications highlight work on luminescent nanothermometers, CuInS 2 quantum dots, and catalytic metal nanoparticles She has received prestigious awards including the Young Scientist Award (International Union of Crystallography) and IUCR Journal of Applied Crystallography referee roles. Her funded projects span European Commission initiatives like Horizon 2020 and national PRIN/Erasmus+ programs.

• Mechanical Metamaterials
• Soft Matter Physics
• Pattern Formation and Chaos
• +7 more

Prof. dr. Martin van Hecke is a group leader at the FOM Institute AMOLF in Amsterdam and a professor of physics at Leiden University. He obtained his PhD in theoretical physics from Leiden University in 1996 and has since led interdisciplinary research at the intersection of experiments, simulations, and theory in soft matter and mechanical metamaterials. Professor of Physics, Leiden University Part-time Group Leader, AMOLF PI of the 'Designer Matter' and 'Modern Mechanics' initiatives His research focuses on harnessing disorder and frustration in materials to design systems where complex behavior emerges, particularly in mechanical metamaterials capable of storing and processing information. Key areas include pattern formation, origami-inspired design, jamming, and the inverse problem in material science. Notable scientific awards include the Vici grant (2011) and the ERC-Advanced grant (2021). His group at AMOLF actively trains PhD students such as Bernat Dura Faulí, Colin Meulblok, and Margot Teunisse, while pioneering collaborations in programmable materials and soft robotics. Selected publications highlight his work on emergent memory , geometric control , non-Abelian mechanics , and information processing in materials . His research infrastructure leverages the AMOLF NanoLab and Transmission Electron Microscope (TEM) facilities.

Clemens V. VerhooselView profile

Associate Professor

• Computational Mechanics
• Isogeometric Analysis
• Fluid Dynamics
• +5 more

Clemens V. Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e). He holds positions in the Department of Mechanical Engineering under the Energy Technology and Fluid Dynamics section, and is affiliated with the EAISI Foundational initiative. His research focuses on scan-based immersed isogeometric analysis, uncertainty quantification, and Bayesian inference for complex engineering problems. He leads the Group Verhoosel and manages the Engineering Mechanics Graduate School since 2018. Education: MSc (Aerospace Engineering, TU Delft, 2005, cum laude PhD, TU Delft, 2009). Postdoctoral research at University of Texas at Austin (2009-2010). Awarded NWO VENI Grant (2011). Research interests include numerical methods for solid mechanics, fluid dynamics, coupled problems, and applications in biomedical engineering (e.g., cardiac mechanics). He develops open-source tools like the Nutils toolkit and collaborates with industry partners such as Evalf Computing. Key contributions include isogeometric analysis for fracture mechanics, phase-field models, and mesh-free simulation workflows. Honors: NWO Veni Award (2011). Teaching includes Advanced Discretization Techniques and Scientific Computing courses. Active in professional activities, including invited talks on cardiac mechanics and computational methods.

Yuhang ChenView profile

Professor

• Biomedical Engineering
• Mechanics
• Materials Science
• +3 more

Yuhang Chen is a Professor of Biomedical Engineering at Heriot-Watt University, affiliated with the School of Engineering & Physical Sciences and the Institute of Mechanical, Process & Energy Engineering. He holds a B.Eng. in Mechanics from Tongji University (2007) and a Ph.D. in Mechanical Engineering from the University of Sydney (2011). His research focuses on experimental and computational mechanics applied to biomedical engineering, including tissue scaffolds, cancer mechanics, and structural optimization. Key projects involve multiscale mechanics in soft tissue cancers and biomechanical analysis of porous materials. Yuhang’s work intersects engineering, materials science, and biomedicine. His lab develops innovative approaches such as biodegradable systems modeling and poroelastic finite element analysis. He has contributed to peer-reviewed journals and datasets, including EPSRC-funded research. His expertise aligns with Sustainable Development Goals related to health and functional materials. Notable publications include studies on compartment syndrome models and auxetic metamaterials. Yuhang’s research group maintains the lab website at tissuemech.hw.ac.uk .

Jean-Jacques HeringsView profile

Professor

• Game Theory
• Microeconomics
• Networks
• +4 more

Jean-Jacques Herings is a Full Professor of Quantitative Microeconomics at Tilburg University's Tilburg School of Economics and Management (TiSEM), specifically within the Department of Econometrics and Operations Research. He has held this position since March 2022, having previously been a Professor of Economics at Maastricht University from September 1999 to February 2022. Herings' research focuses on five primary themes: Cooperative game theory, non-cooperative game theory, networks, general equilibrium theory, and equilibrium computation. His work spans theoretical foundations and practical applications, particularly in financial networks, matching markets, and strategic decision-making. He has published over 200 research outputs including articles in top journals such as Econometrica, Journal of Economic Theory, Management Science, and Mathematics of Operations Research. His recent publications reveal a continued focus on game-theoretic applications to economic problems, with particular attention to financial networks, bankruptcy problems, matching theory, and information design. There's a clear trend toward computational methods for finding equilibria and increasingly sophisticated modeling of strategic interactions in networked environments, with over 13 publications in 2024 alone demonstrating his active research program. Johannes Cornelis Ruigrok Prize (1997) Lionel W. McKenzie Prize (2008) VICI grant from NWO Fellow of the Game Theory Society (2017) Secretary-Treasurer of Game Theory Society (2014-2022) Fellow of the Society for the Advancement of Economic Theory (2019) As an advisor, Herings has supervised over 20 PhD students to completion, with research spanning game theory applications in economics, finance, and network theory. His editorial service includes membership on the boards of Games and Economic Behavior, Journal of Mathematical Economics, International Journal of Game Theory, and Mathematics of Operations Research. He also serves on the International Advisory Board of the Center for Mathematical Research in Economics and Finance at the University of Manchester.

Kris DorseyView profile

Associate Professor

• Soft Robotics
• Wearable Devices
• Active and Multifunctional Materials
• +3 more

Kris Dorsey is an Associate Professor at Northeastern University, holding dual appointments in the Department of Electrical and Computer Engineering (College of Engineering) and the Department of Physical Therapy, Movement, and Rehabilitation Sciences (Bouvé College of Health Sciences). She also serves as an MLK Visiting Associate Professor at MIT’s Media Lab. Her research focuses on soft robotics, wearable medical devices, and multifunctional materials. Dr. Dorsey earned her Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University and a B.S. from Olin College. Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2013 B.S., Electrical and Computer Engineering, Olin College Her research interests include designing reconfigurable soft sensors for medical and robotic applications, with a focus on integrating flexible electronics and active materials. Notable projects include the PARSES (Programmable and Reconfigurable Soft Engineered Systems) group, which explores soft robotics and wearable technologies for healthcare and industrial use. Key Awards: NSF CAREER Award (2019) Japan-America Frontiers of Engineering Participant (2023) Journal of Micromechanics and Microengineering Emerging Leader (2022) Emerging Leader Abie Award (2022) Dr. Dorsey’s work emphasizes interdisciplinary collaboration, bridging engineering, healthcare, and materials science. She mentors students in Northeastern’s undergraduate research programs and leads initiatives funded by NSF and industry partnerships.

• Haptics
• Human-Computer Interaction
• Acoustic Engineering
• +3 more

Yasutoshi Makino is a researcher specializing in ultrasound-based haptics, tactile feedback systems, and human-computer interaction. He has collaborated extensively with Hiroyuki Shinoda and other colleagues, focusing on mid-air haptic displays, noncontact object manipulation, and sensory reproduction. Research Interests Makino's work explores the intersection of acoustics, neuroscience, and engineering to create immersive tactile experiences without physical contact. His innovations include ultrasound-driven actuation mechanisms, thermal sensation rendering, and real-time human motion prediction for robotic systems. Recent Publications The 15 most recent articles highlight advancements in airborne ultrasound tactile displays, texture synthesis via GANs, and applications in guide dog training analysis, virtual reality, and interactive robotics. Key themes include dynamic pressure control , multi-stimulus integration , and low-latency systems . Collaborations Co-authored with Masahiro Fujiwara (43 papers) Collaborated with Hiroyuki Shinoda (145 papers) Worked with Shun Suzuki, Takaaki Kamigaki, and Ryoya Onishi on thermal and mechanical haptic feedback systems.

Peter J. MirskiView profile

Professor

• Management
• Information Technology
• Digital Business
• +7 more

Peter J. Mirski is a Professor of Management and IT at the Management Center Innsbruck (MCI), a leading business school in Austria. He has been associated with MCI since 1998, serving as head of the Management, Communication & IT and Digital Business & Software Engineering Online programs, which he co-founded. As Chief Information Officer (CIO), he oversees the central IT services department. He also holds a visiting professorship at the University of Nebraska, Omaha, USA. His academic background includes a Doctorate (Dr. rer. soc. oec.) from the University of Innsbruck, specializing in business management and information systems. He co-founded the PDAgroup GmbH in 2008 and has led numerous EU-funded research projects, notably the OPENSKIMR initiative for skill matching in digital labor markets. Mirski's research focuses on eLearning innovations, Industry 4.0, digital transformation, and project management. His work bridges academia and industry, emphasizing practical applications. He has authored over 100 peer-reviewed articles, books, and chapters, spanning topics like big data solutions, mentoring frameworks, and tourism technology. Key Awards: SAP University Alliances Visionary Member, ESCO Maintenance Committee (EU Commission) Professional Roles: Member of Academic Board (SAP DACH), Chair of ERP Summerschool, Scientific Advisor (PDAgroup) Mirski’s teaching spans design thinking, entrepreneurship, and IT governance. He has advised over 50 students in bachelor, diploma, and master theses, focusing on topics like digital twin applications, GDPR compliance, and IT governance maturity. His leadership in EU projects has driven innovations in education, tourism, and workforce development.

• Biochemistry
• Biotechnology
• Enzymology
• +6 more

Silvia Holler is a Researcher (RTD-A) at the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento. She specializes in biochemistry, biotechnology, and synthetic biology with a focus on enzymology, catalysis, and structural biology. Her work spans experimental and computational studies of protocells, droplet-based systems, and self-organizing soft matter. Teaching responsibilities include co-teaching the Biochemistry course at CIBIO, where she collaborates with scholars like Giovanni Piccoli and Martin Michael Hanczyc. The course covers foundational topics in biochemistry, enzymology, and molecular structures with practical skills in chromatography and enzymatic kinetics. Research interests emphasize artificial life systems, droplet engineering, and the physics of biological organization. Key themes include protocell formation, compartmentalized biochemistry, and ethical implications of synthetic biology innovations. Recent work explores self-organized patterns in soft matter, active matter dynamics, and computational modeling of multi-phase systems. Publications focus on droplet microfluidics, vesicle interactions, and agglomeration phenomena across scales. Collaborative efforts include editorial roles for artificial life conference proceedings and interdisciplinary projects combining biophysics with materials science. No scientific awards were explicitly mentioned in the provided materials. Her research lab activities are embedded within CIBIO's facilities, focusing on experimental setups for droplet-based synthetic biology and computational simulations of complex systems.

• Marketing
• Consumer Behavior
• Tourism and Hospitality
• +2 more

Ricardo F. Ramos is an Adjunct Professor at the Oliveira do Hospital School of Technology and Management, Polytechnic Institute of Coimbra (ESTGOH-IPC), and at the Information Management School, NOVA University Lisbon (NOVA-IMS). He serves as an Associate Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture, focusing on Information Systems. His educational background includes: PhD in Management with specialization in Marketing from ISCTE (2015-2018) Master's degree in Sports Management from University of Lisbon Faculty of Human Kinetics (2012-2015) Bachelor's degree in Sport from Polytechnic Institute of Setúbal Higher School of Education (2009-2012) Ricardo's research spans diverse areas within marketing, with particular focus on consumer behavior in tourism and hospitality, sports marketing, and text mining applications. His methodology often involves analyzing textual data to uncover consumer insights, as demonstrated in publications examining social media, mobile applications, and online reviews. His work frequently explores the intersection of technology and consumer behavior, investigating how digital platforms influence purchasing decisions and service experiences. His recent research trends show a growing interest in sustainability within business contexts, virtual and augmented reality applications in tourism, artificial intelligence in marketing, and the evolving dynamics of digital consumer behavior across various industries including hospitality, aviation, and retail. Ricardo has received significant recognition for his scholarly work, with publications in high-impact journals such as the International Journal of Hospitality Management, Journal of Air Transport Management, and Journal of Hospitality and Tourism Technology. His research on topics like social media's impact on retail websites, airline sustainability, and customer satisfaction in tourism contexts has accumulated hundreds of citations across multiple databases. His academic contributions extend to collaborating with researchers across various institutions, with a methodological approach that frequently employs text mining and data analytics to extract meaningful consumer insights from large datasets.

Valentino SantucciView profile

Associate Professor

• Artificial Intelligence
• Evolutionary Computation
• Machine Learning
• +7 more

Valentino Santucci is an Associate Professor of Computer Engineering at the University for Foreigners of Perugia, Italy, affiliated with the Department of International Human and Social Sciences (SUSI). Since 2021, he has served as the Rector's Delegate for Technological Innovation and Information Flows, highlighting his leadership in digital transformation within the institution. His research spans key areas in Artificial Intelligence, particularly Evolutionary Computation, Natural Language Processing, Machine Learning applications in e-learning and sustainability, and digital technologies in education. He employs algebraic techniques to analyze combinatorial search spaces and evolutionary algorithm dynamics, contributing to both theoretical and applied advancements. The most recent publications reflect a strong trend in combinatorial optimization using algebraic frameworks, hybrid evolutionary-swarm algorithms, and applications in text complexity classification and educational technology. His work bridges computer science with humanities and sustainability, reflecting a multidisciplinary approach. PhD in Computer Science and Mathematics, University of Perugia (2012) He teaches courses in Artificial Intelligence, Computer Science for Humanities, Cybersecurity, and Sustainability across various degree programs. His editorial roles include contributing to WoS/Scopus-indexed journals, and he has taught at the University of Perugia and Hong Kong Baptist University. Dr. Santucci actively mentors through teaching and research supervision. While specific student names are not listed, his involvement in academic projects and publications suggests advisory roles. He has no explicitly mentioned grants, but his research output and leadership position indicate active project engagement. He is involved in institutional innovation through his role in technological advancement and has contributed to projects integrating soft skills and learning technologies. His work emphasizes practical applications of AI in education and sustainability, positioning him at the intersection of technical innovation and societal impact.

• Optimization methods
• Metaheuristics
• Heuristics
• +12 more

Mina Mirhosseini is a Research Fellow at the Faculty of Logistics, Molde University College, Norway. She holds a PhD in Computer Science from Shahid Beheshti University of Tehran, Iran, and has prior academic experience as a faculty member and lecturer in Iran and as a remote teaching assistant at the University of Hertfordshire, UK. Her primary research interests include Optimization Methods, Metaheuristics, Heuristics, Linear Integer Programming, Parallel Processing, Machine Learning, Artificial Intelligence, and Logistics. She has made significant contributions to solving complex computational problems such as the n-similarity problem and Mixed Integer Linear Programming (MILP) models using hybrid and parallel algorithms, particularly in the context of high-level synthesis and wireless sensor networks. The analysis of her recent publications reveals a strong focus on developing and applying advanced optimization techniques, especially quantum-inspired gravitational search algorithms and parallel genetic algorithms, to real-world engineering and computational challenges. Her work consistently emphasizes performance improvement, scalability, and load balancing in distributed and heterogeneous computing environments. Mina Mirhosseini has an extensive publication record in high-impact journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Supercomputing, and Computers and Electrical Engineering. Her research has been published across a range of venues, reflecting interdisciplinary work at the intersection of computer science, electrical engineering, and applied optimization. She has actively contributed to the academic community through roles such as program committee member and executive committee member for conferences on fuzzy systems, swarm intelligence, and evolutionary computation. Her academic journey includes teaching and research roles in Iran, demonstrating a sustained commitment to higher education and scientific inquiry. Mina Mirhosseini is part of the research group focused on Planning, Optimization and Decision Support at Molde University College. Her current work continues to advance the state-of-the-art in parallel and metaheuristic optimization methods, with applications in logistics, synthesis, and sensor network design.

Alistair PooreView profile

Professor

• Marine Ecology
• Evolutionary Biology
• Coastal Marine Ecosystems
• +3 more

Professor Alistair Poore serves as Head of the School of Biological, Earth and Environmental Sciences at the University of New South Wales. With a PhD from UNSW (1999) and BSc(Hons) from Monash University (1992), he has established himself as a leading marine ecologist focusing on coastal ecosystems. His research program spans multiple interconnected themes: Ecology and evolution of interactions among marine organisms Impacts of herbivores on plant communities Human impacts on coastal marine ecosystems Adaptation of marine organisms to environmental stress Use of citizen science data for biodiversity monitoring Professor Poore's recent publications demonstrate a strong focus on threatened seagrass ecosystems, particularly Posidonia australis, examining responses to climate change, tropicalization, and physical disturbance. His work increasingly integrates citizen science approaches, using recreational diver photographs and other unconventional data sources for ecological monitoring. The research shows a progression from fundamental ecological theory toward applied conservation solutions, with extensive international collaborations across Australian, Pacific, and global marine environments. Scientific recognition includes: Elected Fellow of the Royal Society of New South Wales (2020) Provasoli Award from the Phycological Society of America (2014) Citation for Outstanding Contributions to Student Learning (2013) UNSW Vice Chancellor's Award for Teaching Excellence (2012) Professor Poore actively supervises PhD students working on diverse marine topics including amphibian detection using DNA, bluebottle behavior, artificial light impacts, seagrass restoration, and reef monitoring. His teaching portfolio includes BEES2041 Data Analysis for Life and Earth Scientists, BIOS2031 Biology of Invertebrates, and BIOS3091 Marine and Aquatic Ecology, complemented by freely available Environmental Computing tutorials. His research bridges fundamental ecological questions with practical conservation applications, particularly in Australian coastal environments, with growing emphasis on how climate change reshapes marine biodiversity and ecosystem function through processes like tropicalization and habitat fragmentation.