جستجوی استاد راهنمای دانشگاهی

Laura M. Lechugaمشاهده پروفایل

استاد

• Nanophotonics
• Biosensor Technology
• Lab-on-a-Chip Platforms
• +۳ مورد دیگر

Prof. Laura M. Lechuga is a Full Professor at the Spanish National Research Council (CSIC) and leads the Nanobiosensors and Bioanalytical Applications Group at the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Barcelona, Spain. Her research focuses on nanophotonic biosensors, lab-on-a-chip platforms, and their clinical and environmental applications. Key Research Areas: Nanoplasmonic biosensors, silicon nanophotonics, surface biofunctionalization, and point-of-care diagnostics. With over 200 publications, 8 patent families, and 300+ invited talks, she has co-founded two spin-off companies. Her work spans biomedical diagnostics for infections (e.g., SARS-CoV-2, H. pylori) and environmental monitoring, integrating advanced photonics into portable systems. Scientific Distinctions: Recipient of multiple unspecified awards for her contributions to biosensor technology. The ICN2 Nanobiosensors Group, under her leadership, develops technologies for real-time biomarker analysis, including applications in sepsis detection, therapeutic drug monitoring, and autoimmune disease diagnostics.

• Neuroscience
• Psychology
• Empirical Aesthetics
• +۳ مورد دیگر

Dr. Julia Christensen is a Senior Research Fellow at the Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany. She holds a PhD in Psychology from the University of the Balearic Islands (2014), alongside professional dance training and advanced degrees in neuroscience and clinical psychology. Her research focuses on the intersection of dance, neuroscience, and empirical aesthetics, exploring topics such as emotional responses to movement, cultural influences on creativity, and the neurobiological basis of aesthetic experiences. Key areas of investigation include the psychological and neural mechanisms underlying dance perception, the role of interoceptive accuracy in dancers, and the application of empirical methods to study art and emotion. Her work bridges disciplines like cognitive science, anthropology, and computer science, as seen in collaborations like the Dance Your Emotion project. Awarded the Evens Science Prize (2016) and the Newton International Postdoctoral Fellowship (2015), her contributions include over 40 peer-reviewed articles and edited volumes. Notable publications address aesthetic appeal in dance, enculturation screening tools, and neurolegal concepts of volition. She also engages in popular science writing, such as Tanzen ist die beste Medizin , emphasizing dance’s cognitive and health benefits. Her academic roles include teaching at institutions like the Open University of Catalonia and postdoctoral research at University College London. Current projects involve developing computational frameworks for emotion datasets (EMOKINE) and validating cross-cultural research tools in aesthetics.

Luis Velez Quinteroمشاهده پروفایل

استادیار

• Data Science
• Extended Reality (XR)
• Machine Learning
• +۴ مورد دیگر

Luis Velez Quintero is an Assistant Professor at Stockholm University within the Department of Computer and Systems Sciences (DSV) . He is affiliated with the Data Science Research Group and the Stockholm Technology & Interaction Research (STIR) group, focusing on Human–Computer Interaction. His research spans adaptive immersive systems, affective computing, and physiological signal analysis in extended reality (XR) environments. Education & Background : Holds a PhD in Computer and Systems Sciences from Stockholm University (2023), MSc in Health Informatics from Karolinska Institutet (2019), and BSc in Electronics Engineering from the National University of Colombia (2015). He has led the startup PortalSense since 2018, developing VR solutions for real estate visualization. Research Interests : Combines data science and ML with XR technologies to create context-aware systems for healthcare, education, and professional training. Key themes include: Adaptive VR/AR systems using real-time physiological and behavioral signals Biosignal integration for personalized user experiences Immersive technologies for cognitive assessment and skill development Publications : Over 20 peer-reviewed articles, including work on affective databases (AVDOS-VR), biosignal frameworks (Excite-O-Meter), and XR applications in cybersecurity education. Recent efforts explore third-person locomotion in VR and early-stage Alzheimer’s detection via spatial navigation tasks. Awards & Grants : Wallenberg Foundation Grant (2023-2025): Analyzing non-verbal communication in psychotherapy Swedish Institute Scholarship (2017-2019): Fully funded Master’s and PhD studies Seed funding for PortalSense from Fondo Emprender SENA Colombia (2022-2023) Advising & Projects : Lead researcher in projects like AVDOS-VR and CS:NO . Co-designed the Excite-O-Meter open-source plugin for real-time physiological analysis in VR. Active in industry collaborations for scalable health interventions and immersive training systems. Labs & Teams : Collaborates with multidisciplinary teams at STIR and DSV, advancing human-centered AI and adaptive XR technologies.

FABRIZIO ENRICOمشاهده پروفایل

استادیار

• Building Energy Performance
• Thermal Energy Storage
• Renewable Energy Systems
• +۵ مورد دیگر

Enrico Fabrizio is an Assistant Professor at the Department of Agricultural, Forest, and Food Sciences (University of Turin). His research focuses on building energy performance, indoor environmental quality, and sustainable design. Key areas include PCM-based thermal energy storage, multi-energy system optimization, and low-temperature heating systems. He has contributed to advancing methodologies for nearly Zero Energy Buildings (nZEBs) and energy-efficient livestock housing. Research domains include HVAC systems, energy-efficient building design, and dynamic simulation tools for energy performance assessment. His work integrates renewable energy technologies, such as solar thermal and photovoltaic systems, with district heating networks and smart grid applications. He has developed frameworks for personalized environmental control systems (PECS) and energy certification protocols for agricultural buildings like pig houses. His recent publications emphasize decarbonization strategies for heat pumps, cryocooler prototypes, and zero-power building paradigms. Collaborations span academic and industry partners, addressing challenges in energy poverty, climate control in greenhouses, and retrofitting historic buildings to nZEB standards.

Federico Martinón-Torresمشاهده پروفایل

استاد

• Pediatrics
• Infectious Diseases
• Vaccinology
• +۴ مورد دیگر

Prof. Federico Martinón-Torres is a Professor of Pediatrics at the University of Santiago de Compostela, where he also holds the Royal Academy of Medicine of Galicia chair. He leads the Pediatrics Service at Hospital Clínico Universitario de Santiago and directs the Clinical, Infectious, and Translational Pediatrics unit. His career includes over 400 scientific articles, 26M€ in competitive grants, and global recognition in vaccine research. Key roles include WHO Technical Advisory Committee member for Europe and director of Spain’s sole WHO Collaborating Center on Vaccine Safety. He has supervised 16 doctoral theses and pioneered the GENVIP research group, ranked among the world’s top vaccine research teams. Education: PhD from USC in 2005 (thesis on Heliox and bronchiolitis), with all academic awards including Royal National Academy of Medicine honors. Teaching: 90+ master’s theses supervised, emphasizing translational pediatrics and vaccinology. Research focuses on pediatric infections, vaccines, and genomic diagnostics. Notable projects include RSV vaccine development, meningococcal epidemiology, and transcriptomic signatures for infectious disease diagnosis. His work impacts global health policy, including Gavi strategies and pandemic preparedness. Awards: Over 20 national prizes, including Spain’s Best Pediatrician (2023/2024), Reputational Leadership (2024), and Stanford’s Top 2% Global Scientist (2023). Research output includes 400+ peer-reviewed articles, 700+ publications, and an H-index of 59. Leadership: Founded Spain’s RECLIP pediatric clinical trials network and co-led European projects like 4CMenB vaccine development. His lab integrates genomic, transcriptomic, and clinical data to address pediatric health challenges, including antimicrobial resistance and vaccine equity. Labs/Teams: Santiago Institute of Health Research (IDIS), GENVIP Group (www.genvip.eu), WHO Collaborating Center for Vaccine Safety (since 2018).

Jennifer Hirstمشاهده پروفایل

پژوهشگر

• Cell Biology
• Membrane Trafficking
• Hereditary Spastic Paraplegia
• +۶ مورد دیگر

Dr. Jennifer Hirst is a Principal Research Associate and Fellow at Jesus College, University of Cambridge, where she serves as a Tutor in Natural Sciences (Biological). She is based at the Cambridge Institute for Medical Research within the School of Clinical Medicine, focusing on cell biology and membrane trafficking research. Dr. Hirst earned her BSc Hons in Biochemistry from Imperial College London (as an Associate of the Royal College of Science), followed by a PhD in Cell Biology from University College London. She also completed a Diploma in Science Communication from Birkbeck College London, demonstrating her commitment to public engagement. Her research primarily investigates membrane trafficking mechanisms and their role in human diseases, particularly hereditary spastic paraplegia and lysosomal storage diseases. She has extensive expertise in endocytosis, cell culture, intracellular trafficking, live cell imaging, and molecular cell biology techniques. Her work examines how adaptor protein complexes (particularly AP-4 and AP-5) function in cellular trafficking pathways and how their dysfunction leads to neurodegenerative disorders. Analysis of her recent publications reveals a strong focus on hereditary spastic paraplegia, with particular emphasis on AP-4 and AP-5 complex deficiencies. Her research spans from basic molecular mechanisms to clinical applications, including development of diagnostic assays and potential gene therapies. She frequently collaborates on multicenter studies examining genetic mutations and their phenotypic expressions across different populations. Dr. Hirst is actively involved in public science engagement, conducting school science visits, and maintains personal interests in traveling, karate, and badminton. Her technical expertise includes advanced cellular imaging techniques, western blot analysis, and immunofluorescence, which support her investigations into protein trafficking pathways and neurological disease mechanisms.

• Software Engineering
• Equity, Diversity and Inclusion
• AI Ethics
• +۵ مورد دیگر

Professor Sue Black is a Professor of Computer Science and Technology Evangelist at Durham University's Department of Computer Science. She is renowned for leading the successful social media campaign to save Bletchley Park, a pivotal site in computing history, and for founding BCSWomen, the UK's first online network for women in tech. Holding an OBE for services to technology, she advises the UK government and sits on Comic Relief's board. Her research focuses on software engineering, AI ethics, digital inclusion, and equity in tech. She has pioneered tech training programs for underrepresented groups through initiatives like TechUP. A public speaker and author, her book Saving Bletchley Park chronicles her campaign's impact. She balances academic rigor with grassroots activism, advocating for inclusive technology ecosystems globally. Education: BSc(Hons) Computing Studies (London South Bank University, 1993), PhD in Software Engineering (2001). Single mother of three by 25, she pursued education while overcoming significant personal challenges. Awards: OBE (2016), Forbes Top 50 Women in Tech, International Social Impact Award (2017). Grants & Impact: Leads digital skills programs reaching thousands in underserved communities. Advises on national digital strategies and chairs panels on AI ethics. Her work bridges academia, industry, and social justice.

Justin Silvermanمشاهده پروفایل

استادیار

• Bayesian Statistics
• Machine Learning
• Genomics
• +۷ مورد دیگر

Dr. Justin Silverman is an Assistant Professor of Information Science & Technology, Statistics, and Medicine at Pennsylvania State University, with affiliations in the Department of Statistics and the Institute for Computational and Data Science. He holds an MD from Duke University School of Medicine (2020), a PhD in Computational Biology and Bioinformatics from Duke (2019), and a BS in Physics and Biophysics from Johns Hopkins University (2011). His research integrates Bayesian statistics, machine learning, and genomics to address impactful biomedical questions. Key focuses include microbiome analysis, gene expression studies, and scale-reliant inference methodologies. His work emphasizes methodological rigor and clinical relevance, with applications in personalized medicine, agriculture, and epidemiology. The Silverman Lab develops cutting-edge tools like the fido and philr packages for compositional data analysis. Collaborations span academia and industry, addressing challenges in livestock health, viral surveillance, and precision medicine. He also leads Anarres Analytics LLC, translating statistical methods into practical solutions for clients. His advising includes PhD and MS students working on topics like scalable Bayesian models, microbial co-occurrence networks, and topological data analysis in oncology. Notable projects include studies on ancient microbiomes, dairy cow treatments, and pandemic modeling. Labs and teams: Silverman Lab (PSU), Anarres Analytics. Current positions: PI, startup founder, and collaborator in multi-institutional projects.

Ying Chenمشاهده پروفایل

استادیار

• Tissue Engineering
• Regenerative Medicine
• Biomedical Engineering
• +۴ مورد دیگر

Ying Chen serves as Research Assistant Professor in the Department of Biomedical Engineering within Tufts University's School of Engineering. Her laboratory develops advanced 3D in vitro tissue models of human intestine using silk scaffolds and intestinal organoids to mimic native structure and function. Ph.D. in Biomedical Science and Engineering, University of Maine (2013) M.S. in Environmental Toxicology, Xiamen University (2007) B.S. in Environmental Science, Fujian Normal University (2004) Her research focuses on tissue engineering and regenerative medicine , specifically creating human intestinal models that maintain mucus layers and oxygen gradients. These models enable studies of inflammatory bowel disease, drug delivery mechanisms, nanotoxicity effects, and microbial infections. Her work bridges biomaterials science , organoid technology , and translational medicine , with recent publications emphasizing silk-based protective coatings and cultivated meat applications. Analysis of her publication record (2022-2026) reveals strong emphasis on silk protein biomaterials for cellular protection and tissue modeling, with growing applications in sustainable food technology. Key thematic areas include intestinal disease modeling (32% of recent work), silk-based cell encapsulation (28%), and novel imaging techniques for engineered tissues (15%). Dr. Chen actively secures competitive research funding, including a National Science Foundation grant for 'Dynamic protein-based biomaterial designs for bionic coatings' (2021-2024) and industry collaboration with Sofregen Medical Inc. Her teaching portfolio consistently features 'Tissue Engineering Research Lab' courses since 2019, training students in advanced biomaterial techniques. Her laboratory maintains two key patents: 'Innervated artificial intestine compositions' (2017) and 'Microphysiologic methods and compositions' (2014), demonstrating translational impact beyond academic publications.

Benjamin Ruischمشاهده پروفایل

مدرس

• Political Psychology
• Intergroup Prejudice
• Conspiracy Theories
• +۲ مورد دیگر

Dr. Benjamin Ruisch serves as a Lecturer in Psychology at the University of Kent's School of Psychology, specializing in political attitudes and intergroup prejudice. His research examines ideological divides through the lens of social and political psychology, with emphasis on conspiracy theories and pandemic-related social dynamics. His academic journey includes: PhD from Cornell University Social Psychology Area Postdoctoral Fellowship at Ohio State University Marie Sklodowska-Curie Fellowship at Leiden University Research Interests: Dr. Ruisch investigates the psychological foundations of political ideology, focusing on: Physiological correlates of political orientation (e.g., interoceptive sensitivity) Conspiracy theory formation and psychological consequences Ideological asymmetries in prejudice and moral judgment Social dynamics during global crises like the COVID-19 pandemic Publication Trends: His 2022-2025 work reveals evolving focus from pandemic responses to fundamental ideological processes. Key themes include the relationship between bodily awareness and political liberalism, slippery-slope reasoning in moral judgments, and longitudinal impacts of conspiracy beliefs. Publications consistently bridge political science with psychological mechanisms. Scientific Awards: Marie Sklodowska-Curie Fellowship Grants and Funding: Dr. Ruisch has secured support from major international bodies: European Commission U.S. National Science Foundation Society for Personality and Social Psychology American Psychology-Law Society United States-Indonesia Society Cornell University institutes (Institute for Social Sciences, Einaudi Center, Center for Study of Inequality) Labs and Teams: His collaborative network spans Cornell, Ohio State, Leiden, and Kent universities, operating through interdisciplinary teams focused on experimental social psychology. Current work involves pandemic-related attitude tracking and cross-national ideology studies without dedicated lab branding.

Sarah F. Muldoonمشاهده پروفایل

دانشیار

• Network Neuroscience
• Complex Systems
• Computational Neuroscience
• +۶ مورد دیگر

Sarah F. Muldoon is an Associate Professor in the Department of Mathematics at the University at Buffalo, SUNY. Her research focuses on network neuroscience and complex systems, integrating tools from mathematics, physics, and computational biology. Education: PhD in Physics, University of Michigan (2009) Her research explores network organization in brain function, particularly in health and pathological conditions like epilepsy. Key areas include: Development of novel network statistics (e.g., small-world propensity, multilayer analysis) Computational modeling of brain dynamics and state transitions Experimental data analysis across neuronal networks, ECoG, and fMRI Software tools for seizure detection and community structure quantification She leads a multidisciplinary group affiliated with the Computational and Data-Enabled Sciences (CDES) Program and Neuroscience Program at UB. Her work bridges theoretical and applied network science, with recent publications examining brain states, pandemic modeling, and personalized network diagnostics.

• Pharmaceutical Engineering
• Drug Delivery Systems
• Continuous Manufacturing
• +۳ مورد دیگر

Dr. Rahamatullah Shaikh is an Assistant Professor in Industrial Pharmaceutics at the Centre for Pharmaceutical Engineering Science within the School of Pharmacy and Medical Sciences, University of Bradford. With extensive international research experience in academia and industry, his expertise spans drug formulation, continuous manufacturing, and particle engineering. He holds a PhD from the University of Limerick and an MPhil from Queen's University Belfast, where he developed patented buccal patch technology. His research focuses on: Continuous manufacturing processes via Quality by Design (QbD) Next-generation drug delivery systems for oral, mucosal, transdermal, and ophthalmic applications Novel biomaterials for regenerative medicine His publication portfolio demonstrates strong trends in pharmaceutical cocrystallization, continuous processing, and advanced drug delivery systems, particularly for ophthalmology and personalized medicine. Dr. Shaikh teaches across undergraduate and postgraduate programs and serves as Health and Safety Lead at the CPES. He has supervised 16 student research projects and actively engages in science outreach through initiatives like spectroscopy workshops.

Arezoo Emadiمشاهده پروفایل

دانشیار

• Microelectromechanical Systems (MEMS)
• Bio-Medical Devices
• MEMS Sensors and Transducers
• +۸ مورد دیگر

Dr. Arezoo Emadi is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Windsor. She leads the electrical Micro and Nano Devices and Sensors (eMinds) Research Lab, focusing on MEMS-based smart sensor systems for biomedical, environmental, agricultural, and personal electronics applications. Her research spans MEMS sensors, bioMEMS, ultrasonic imaging, and microfabrication technologies . Education: Ph.D., University of Manitoba; Licentiate Degree, Chalmers University of Technology (Sweden). Affiliations: Senior Member of IEEE, Professional Engineer (PEng Ontario), and advisor for IEEE Women in Engineering (WIE). Her research interests emphasize MEMS transducers, chemical sensors, and e-nose systems . Key projects include developing next-generation sensors for medical diagnostics, environmental monitoring, and non-destructive testing. Collaborations with industry and academic partners drive applied innovations. Dr. Emadi has supervised numerous students, including PhD and MASc candidates, undergraduates, and international researchers. Her lab manages advanced fabrication processes and maintains state-of-the-art equipment for MEMS development. Awards: Senior Member, IEEE Professional Engineer (PEng) designation Her lab’s work has produced over 100 publications and patents, including recent advancements in QCM sensors and ultrasonic transduction systems. Current opportunities exist for graduate students and postdocs in MEMS design and sensor integration.

• Moral Philosophy
• Political Philosophy
• Ethics
• +۳ مورد دیگر

Attila Tanyi is a Professor at the Department of Philosophy and First Semester Studies at UiT The Arctic University of Norway. His research focuses on moral and political philosophy, ethics, and interdisciplinary studies spanning psychology, economics, and political science. He also explores metaphysics and philosophy of religion. Tanyi collaborates globally with scholars in Germany, the UK, Sweden, Hungary, and the USA. His work bridges theoretical philosophy with practical applications, addressing issues like public health ethics, institutional consequentialism, and legal entrapment. Notable contributions include frameworks for integrating public well-being systems and analyses of managerial decision-making through phronesis and intuition. Key research themes include moral demands of ethical theories, the role of institutions in fulfilling consequentialist obligations, and the ethical dimensions of policing and undercover operations. His recent articles explore self-respect in higher education, virtue testing, and the incoherence objection to legal entrapment. Tanyi has contributed to projects such as The Profoundest Problem in Ethics under UiT’s Center for Basic Research. His work emphasizes rigorous methodology in moral intuition studies and challenges over-demandingness critiques of consequentialism.

Seongho Songمشاهده پروفایل

استاد

• Bayesian Statistics
• Biostatistics
• Statistical Modeling
• +۵ مورد دیگر

Seongho Song is a Professor and Undergraduate Program Director in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. in Statistics from the University of Connecticut (2005). His research focuses on Bayesian statistical methods, biostatistics, and computational biology, with applications in genetics, environmental science, and healthcare. Song has led or collaborated on grants totaling over $4.7M, including projects funded by DARPA, NIH, and the Korea Institute of Ocean Science and Technology. Education: Ph.D. in Statistics, University of Connecticut (2005) Positions: Assistant (2005-2011) → Associate (2011-2019) → Full Professor (2019–Present) Research interests include Bayesian hierarchical models, longitudinal data analysis, and bioinformatics. He has published over 30 peer-reviewed articles in journals like Biostatistics , Frontiers in Genetics , and Journal of Productivity Analysis . Recent work involves modeling circadian rhythms, lung disease progression, and oceanographic systems. Teaching responsibilities include graduate courses in Bayesian analysis, statistical computing, and linear models. He has served on editorial boards for Sankhya Series B and IEEE Transactions on Computational Biology , and chairs the EAC-ISBA Special Interest Group.