جست‌وجوی استاد و پژوهشگر

• Neuroinformatics
• Brain-Computer Interfaces
• Causal Modeling
• +۳ مورد دیگر

Moritz Grosse-Wentrup is a Professor at the Faculty of Computer Science, University of Vienna , where he leads the Neuroinformatics research group. His work spans neuroscience, machine learning, and brain-computer interfaces , focusing on causal modeling and neurotechnology. Location: Kolingasse 14-16, Room 02.49, 1090 Wien Email: moritz.grosse-wentrup@univie.ac.at Phone: +43-1-4277-79610 Research interests include: Developing causal frameworks to bridge neuronal activity and cognition Designing interpretable machine learning algorithms for BCI applications Neurorehabilitation using virtual reality and EMG-BCI systems Advancing causal inference and feature importance in AI models Open-source tools like PyTES for neurostimulation research Recent publications highlight trends in auditory BCI, causal recourse, and Riemannian geometry-based classification . His work integrates neuroscience, computer science, and clinical applications to improve communication for impaired patients and motor rehabilitation. Students mentored include Alex Markham (2021), Gunnar König (2023), and Jiachen Xu (2023). He teaches foundational courses in data analysis, signal processing, and neuroinformatics at the University of Vienna.

Christoffer Åbergمشاهده پروفایل

دانشیار

• Nanotechnology
• Biophysics
• Pharmaceutical Sciences
• +۳ مورد دیگر

Christoffer Åberg is an Associate Professor at the Faculty of Science and Engineering , University of Groningen, with a joint appointment in the Faculty of Medical Sciences/UMCG . His research bridges nanotechnology, pharmaceutical sciences, and biomedical applications. Key Research Areas : Nanoparticle-cell interactions, biomolecular corona formation, membrane fusion mechanisms, and HIV treatment optimization. Methodologies : High-throughput microscopy, computational modeling, fluorescence-based quantification, and clinical epidemiology. UN SDG Contributions : Advances sustainable development through nanosafety research (SDG 3: Good Health and Well-being). Recent Publications highlight size-dependent nanoparticle uptake, membrane property modifications, and HIV adherence studies in Indonesia. Collaborations span synthetic biology, medical nanotechnology, and clinical research.

• Integrated Photonics
• Silicon Photonics
• Optoelectronic Modulators
• +۳ مورد دیگر

Dr. Alvaro Moscoso Mártir is a Senior Researcher at the Institute and Chair of Integrated Photonics, RWTH Aachen University. He holds a Ph.D. in Telecommunications Engineering from the University of Malaga (2013) and an M.Sc. in Telecommunications Technologies (2010). His research focuses on Integrated Photonics , Silicon Photonics , and Optoelectronic Modulators . 2025: Spectrally stitched nonlinear frequency division multiplexing 2024: Short-wavelength ECLs for biomedical/quantum applications 2023: Resonant Mach-Zehnder modulators and WDM NFDM systems His recent work explores WDM transmission systems , nonlinear Fourier transform , and photonic integration . He was awarded the 2014 Airbus Defense and Space Nationwide Award and Best Final Thesis in Telecommunication Engineering . He collaborates with institutions like Heriot-Watt University and Keysight Malaga, focusing on packaging of silicon photonic chips and temperature-tolerant modulators .

Elliot Woolleyمشاهده پروفایل

دانشیار

• Sustainable Manufacturing
• Energy Efficiency
• Food Waste Management
• +۵ مورد دیگر

Elliot Woolley is a Reader in Sustainable Production and Consumption at Loughborough University's Wolfson School. He holds roles such as Deputy Director of Doctoral Programmes and has led initiatives like the MSc in Sustainable Engineering and Admissions Tutor for Manufacturing Engineering. With a background in Physics, he specializes in sustainable manufacturing, energy efficiency, and food waste reduction. His industrial experience includes strategic roles in research and technology organizations. Education: MPhys (Applied Physics, Nottingham Trent University, 2003); PhD (Atomic Physics/NMR, University of Nottingham, 2007). Roles: EPSRC Peer Review College member, Theme Lead for Sustainable Manufacturing, and former Programme Director for Sustainable Engineering. His research focuses on advancing laser-based manufacturing processes for renewable energy (e.g., photovoltaics), optimizing industrial energy use, and applying AI to food waste reduction frameworks. He advocates for circular economy principles in plastic packaging and sustainable supply chains. Recent work highlights include frameworks for household food waste categorization and energy audits of laser systems. Advising and leadership span doctoral programs and cross-disciplinary collaborations. His contributions bridge academia and industry through projects like waste heat recovery systems and eco-intelligent monitoring in manufacturing. Labs/Teams: Involved with the Competitive Sustainable Manufacturing research cluster and the Wolfson School’s strategic initiatives.

• Machine Learning
• Music Information Retrieval
• Artificial Intelligence
• +۳ مورد دیگر

Maarten Grachten is a researcher in Machine Learning and Music Technology, currently serving as an independent consultant and visiting researcher at the Artificial Intelligence Research Institute (IIIA) in Bellaterra, Spain. Previously, he held senior researcher positions at institutions such as the Department of Computational Perception at Johannes Kepler University (Linz, Austria) and the Austrian Research Institute for Artificial Intelligence (Vienna). His work focuses on computational models of music performance, expressive dynamics, and music information retrieval. Education: PhD in Computer Science and Digital Communication from Pompeu Fabra University (2007) M.Sc./B.Sc. in Artificial Intelligence from University of Groningen (2001) Propaedeutic year in Philosophy, University of Groningen (1996) Research Interests: His research spans machine learning applications in music, expressive performance modeling, and computational creativity. Key areas include: Developing algorithms for music generation and analysis Modeling human-like musical expression through AI Applications of deep learning in audio processing Awards: Recipient of several accolades including ISMIR's Outstanding Reviewer Award (2014), Best Reviewer Award (2013), and the Rencon Awards for performance rendering systems. Notably, his work on 'YQX plays Chopin' was featured in AI Magazine. Grants and Collaborations: Involved in EU projects like Lrn2Cre8 (FET 2013–2016) and PHENICX (ICT 2013–2016), focusing on interactive music experiences and creative technologies. Labs/Teams: Core contributor to projects like the Accompanion system for expressive accompaniment and co-developer of the partitura Python package for symbolic music data handling.

Haneen Aliمشاهده پروفایل

دانشیار

• Healthcare Delivery Systems
• Systems Engineering in Healthcare
• Lean Six Sigma Applications
• +۳ مورد دیگر

Haneen Ali is an Associate Professor in the Health Services Administration Program at Auburn University's College of Liberal Arts. She holds a PhD in Industrial and Systems Engineering from SUNY Binghamton (2016), alongside an MS and BS in Industrial Engineering and Biosystems Engineering from Jordan University of Science and Technology. Her research focuses on healthcare delivery systems, applying systems engineering and Lean Six Sigma methodologies to improve quality, safety, and efficiency in healthcare. Notable areas include process redesign, technology integration, and human-computer interaction in clinical settings. Dr. Ali's recent work explores maternal health outcomes during the pandemic, AI in education (e.g., ChatGPT applications), and predictive modeling in cardiovascular care. She has pioneered studies on frontline nurse compensation perceptions, smart notification systems in nursing homes, and reliability engineering for medical devices. Her interdisciplinary approach bridges engineering principles with healthcare challenges, emphasizing patient-centered solutions. She is an active member of the Institute of Industrial Engineers (IIE), Human Factors and Ergonomics Society (HFES), and the Association of University Programs in Health Administration (AUPHA). Though no formal awards are listed, her extensive grant-funded projects and peer-reviewed publications reflect significant contributions to healthcare systems engineering.

• Design Education
• Product Design
• Collaborative Design Workflows
• +۳ مورد دیگر

Bryan Howell is a Professor in the Design Department at Brigham Young University. His work focuses on design education, collaborative workflows, product design, and the intersection of technology with design processes. His research interests include exploring how emerging technologies like AI impact design ideation, improving interdisciplinary collaboration through digital tools, and understanding user experiences in multisensory design contexts. He has pioneered methods to integrate Instagram and Canva into design history education, enhancing student engagement with visual content. Recent studies highlight his exploration of consumer perceptions in packaging design, eye gaze behaviors in sketching, and the educational value of field studies. His work emphasizes practical applications of design thinking across diverse domains such as healthcare, sustainability, and entrepreneurship. Notable contributions include developing immersive collaborative workflows for 3D design-to-production processes and analyzing the moral and ethical dimensions of design decisions. His research spans over two decades, with publications addressing topics from ergonomics to intellectual property in design.

Jeffrey Johnsonمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction (HCI)
• User Interface Design
• Technology Ethics
• +۳ مورد دیگر

Jeffrey Johnson is an Adjunct Professor at the University of San Francisco and a retired faculty member. He holds a BA in Psychology from Yale University and a PhD in Developmental and Experimental Psychology from Stanford University. His expertise spans human-computer interaction (HCI), UI design, and computer science education. Dr. Johnson has held visiting roles at the University of Canterbury (New Zealand) as an Erskine Fellow and has taught at Stanford University and Mills College. His career includes roles at Xerox, Hewlett-Packard Labs, and Sun Microsystems, alongside leadership in organizations like the SIGCHI Public Policy Committee and Computer Professionals for Social Responsibility (CPSR). His research focuses on improving user interface design principles, addressing aging population needs in technology, and ethical technology applications. Recent work critiques AI fragility and explores digital literacy challenges in advertising. He is a Distinguished Member of ACM and recipient of SIGCHI's Lifetime Achievement Award. He currently advises Truth in Advertising on recyclable packaging labeling and is updating his seminal book Conceptual Models for 2024 publication.

• Analytical Chemistry
• Environmental Chemistry
• Antimicrobial Materials
• +۷ مورد دیگر

Dr. James Chapman is a Senior Lecturer at Griffith University's School of Environment and Science, specializing in Chemistry and Forensic Science. He holds a PhD from Dublin City University (2007-2010) and a BSc in Applied Chemistry from the University of Plymouth (2003-2006). His research integrates artificial intelligence with spectroscopy and chemometrics to develop advanced sensors and diagnostics for health, environmental monitoring, and food safety, aligning with UN Sustainable Development Goals. With over 100 peer-reviewed publications, an h-index of 40, and 6,000+ citations, he leads research groups and degree programs, contributing to both academia and industry. Research interests include antimicrobial materials, nanomaterials, chemometrics, and AI-driven diagnostics. He has secured significant grants, including a $704,999 project on microplastic protocols and a $50,000 grant for analytical chemistry-AI development. Awards include Fellowships from the Royal Australian Chemical Institute and Royal Society of Chemistry, alongside his role as Division Chair for the Analytical and Environmental Chemistry Division. Professional activities include Board memberships with the Multidisciplinary Digital Publishing Institute and the Royal Society of Chemistry's Analytical Methods Advisory Board. His work emphasizes sustainable solutions to global challenges like antimicrobial resistance and environmental contamination.

Zhiyong Xuمشاهده پروفایل

استاد پژوهشی

• Materials Chemistry
• Energy Storage
• Nanotechnology
• +۸ مورد دیگر

Zhiyong (Tom) Xu is a Research Professor in the Department of Chemistry at Binghamton University. His research focuses on interdisciplinary areas of materials chemistry, electrochemistry, energy storage, and nanotechnology, emphasizing the design and application of energy storage materials for transitioning to renewable energy sources. He holds a BS from Hunan University and a PhD from Michigan Technological University. Key research interests include energy storage systems, nanomaterial synthesis, battery materials, and renewable energy management. His work bridges material design, synthesis, and characterization to address challenges in sustainable energy solutions. Selected publications highlight contributions to polymer chemistry, nanotechnology, and material characterization. His research spans topics like carbon nanotube synthesis, material phase transformations, and catalytic processes. Collaborative projects include studies on aluminum waste recycling and microwave-assisted nanoparticle synthesis. Dr. Xu’s research has been presented at conferences such as TMS Annual Meeting and EPD Congress, reflecting his engagement with industry and academic communities. While currently not accepting students, his work impacts emerging fields like hydrogen storage and AI-driven energy management.

Beate Sickمشاهده پروفایل

استاد

• Machine Learning
• Medical Imaging
• Deep Learning
• +۳ مورد دیگر

Beate Sick is a Professor at the Zurich University of Applied Sciences School of Engineering, specializing in Data Analysis and Statistics. Her work bridges machine learning, probabilistic modeling, and medical applications, particularly in stroke outcome prediction, uncertainty quantification, and statistical methods for healthcare.

Andy Willsمشاهده پروفایل

استاد

• Cognitive Psychology
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Andy Wills is a Professor in Psychology at the School of Psychology, University of Plymouth, within the Faculty of Health. He holds a Ph.D. from the University of Cambridge and has held academic positions at Exeter University and Plymouth University, advancing to full professorship in 2012. Andy earned his undergraduate degree in Psychology from the University of Southampton (1990–1993). He pursued his Ph.D. in computational learning theory at the University of Cambridge (1994–1998) under Ian McLaren. Following his Ph.D., he was a Junior Research Fellow at Emmanuel College, Cambridge (1998–2000). His career progression includes roles at Exeter University (Lecturer, Senior Lecturer, and Associate Professor) before joining Plymouth as a full professor in 2012. His research focuses on visual object categorization, the role of errors and attention in learning, and human-centered AI. A proponent of open science, he maintains R packages like catlearn (43,000+ downloads). His work bridges cognitive psychology and machine learning, emphasizing clear scientific communication and ethical AI applications. Recent studies explore category learning mechanisms, attentional effects, and human-machine comparisons in object recognition. His interdisciplinary approach addresses generalization strategies and cognitive load, contributing to neuroscience and AI. Supervised doctoral students include Lenard Dome (2023) , Angus Inskter (2019) , and Charlotte Edmunds (2017) . Advocates for open-source tools and led initiatives like the Research Methods in R teaching materials. Active in debates on research ethics, peer review during UK academic strikes, and open science practices. His lab at Plymouth University fosters reproducible research and collaborative projects in cognitive modeling and AI.

• Consumer Behavior
• Artificial Intelligence in Marketing
• Consumer Vulnerability
• +۶ مورد دیگر

Emanuela Stagno is an Associate Professor in Marketing at the University of Sussex Business School, specializing in consumer behavior and technology interactions. She joined Sussex in 2021 as an Assistant Professor, advancing to her current rank in October 2024. Her research focuses on consumer vulnerability, AI applications in public contexts, physical pain management, and well-being. She holds a PhD in Marketing from BI Norwegian Business School (2017–2021) and a Master in Management from LUISS Guido Carli, Italy (2013–2015). Her academic work combines quantitative and qualitative methods, with notable publications in International Journal of Research in Marketing , Social Science and Medicine , and co-authored books on AI in customer journeys. She has received grants such as the British Academy-funded 'Message framing in plant-based consumption' (2022–2024). Awards include the 2024 Best Paper Award (IJRM) and 2020 AMA-Sheth Doctoral Consortium Fellowship. She teaches courses in Marketing Analytics, Global Consumer Behavior, and Brand Management. Fluent in Italian and English, she holds a Postgraduate Certificate in Higher Education (Advance HE, 2022). Her research explores AI ethics, consumer responses to health technologies, and the societal impact of emerging technologies, reflecting a multidisciplinary approach to modern marketing challenges.

• Energy Harvesting
• Food Safety
• Nanotechnology
• +۳ مورد دیگر

Yi-Cheng Wang is an Assistant Professor in the Department of Food Science and Human Nutrition at the University of Illinois at Urbana-Champaign, with affiliations at the Center for Digital Agriculture and the National Center for Supercomputing Applications (NCSA). His research focuses on interdisciplinary innovations at the intersection of food science, nanotechnology, and digital agriculture. Key areas include energy harvesting via triboelectric nanogenerators, food safety technologies, and CRISPR-based diagnostic systems. His work integrates advanced materials science (e.g., gold nanoparticles and carbohydrate polymers) with food packaging and sensor development for real-time quality monitoring. He also explores antimicrobial resistance detection, far-UVC light sanitization for food surfaces, and social media analysis of cultured meat terminology. Collaborations span microbiology, engineering, and computational biology, reflecting his role in bridging traditional food science with cutting-edge digital tools. Recent publications highlight trends in self-powered sensors for IoT applications, longitudinal studies on consumer perceptions of alternative proteins, and CRISPR-based systems for pathogen detection. His research emphasizes practical applications in food safety, sustainable energy, and precision agriculture. Wang’s media engagement includes coverage of UV-C sanitization technologies for food systems. While no grants or advising details are explicitly noted, his affiliations with NCSA and digital agriculture initiatives suggest involvement in large-scale interdisciplinary projects.

Alexandra Meliouمشاهده پروفایل

استاد

• Data Management
• Data Quality
• Causality
• +۵ مورد دیگر

Alexandra Meliou is a Professor and Associate Chair of Faculty Development in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. She holds a PhD from UC Berkeley and has been recognized for research, teaching, and service with awards including the NSF CAREER Award and Google Faculty Research Award. Her work focuses on data management challenges such as data quality, fairness, and system explanations. She co-directs the DREAM Lab and actively promotes diversity in computer science. Research Interests: Her research emphasizes data quality diagnostics, fairness in algorithms, and user-facing database systems. Key projects include Themis (fairness testing), PackageBuilder (optimization queries), and SQuID (query intent discovery). She explores causal reasoning to explain data system behaviors and mitigate biases. Awards & Contributions: Beyond her technical contributions, Meliou has received teaching excellence (Lilly Fellowship) and service awards. She chairs DEI initiatives in database conferences and contributes to academic governance through roles like SIGMOD PC Co-Chair. Education: PhD (Computer Science, UC Berkeley, 2009), MS (UC Berkeley, 2005), BS (National Technical University of Athens, 2003).