جست‌وجوی استاد و پژوهشگر

Kamal Senمشاهده پروفایل

دانشیار

• Neural Coding of Natural Sounds
• Hierarchical Auditory Processing
• Neural Discrimination
• +۳ مورد دیگر

Kamal Sen is an Associate Professor in the Department of Biomedical Engineering at Boston University, serving as Director of the Natural Sounds and Neural Coding Laboratory and Director of Admissions and Recruitment for Master’s Programs. He holds a PhD and MA in Physics from Brandeis University and a BA in Physics from Bates College. His research focuses on understanding how neurons encode natural sounds, particularly in the auditory cortex. Key areas include neural coding efficiency, hierarchical auditory processing, and the role of learning in shaping receptive fields. He developed the BOSSA algorithm to address sound segregation challenges in noisy environments, with applications for hearing aid technology. Sen’s work integrates electrophysiological techniques with theoretical approaches from signal processing, information theory, and systems theory. His lab explores neural discrimination of behaviorally relevant sounds and models cortical processing dynamics using computational frameworks. Recent studies investigate parvalbumin neuron contributions to temporal coding and cortical noise reduction in complex auditory scenes. His publications span neural circuit modeling, fNIRS applications in BCI, and biomimetic algorithms for auditory scene analysis. Research highlights include exploring schizophrenia-related gene effects on neural circuits and developing 3D neurosphere models for Parkinson’s disease.

Daniela Machadoمشاهده پروفایل

پژوهشگر

• Probiotics
• Intestinal microbiota
• Encapsulation technology
• +۵ مورد دیگر

Daniela Machado is a researcher at the Centre for Biotechnology and Fine Chemistry (CBQF) within the Escola Superior de Biotecnologia (ESB-UCP) at Universidade Católica Portuguesa. Holding a PhD in Chemical and Biological Engineering from Universidade do Minho (2017) funded by an FCT grant, she specializes in probiotics, intestinal microbiota, and encapsulation technologies. Her work bridges microbiology with food science, focusing on delivery systems for probiotics in food matrices, biological validation, and antimicrobial activity research. Education : PhD in Chemical and Biological Engineering (Universidade do Minho, 2017) Research Trends : Recent publications highlight innovations in probiotic encapsulation, functional food development, and bacterial vaginosis treatment. Her work with Akkermansia muciniphila and Faecalibacterium species demonstrates expertise in gut microbiota modulation. Scientific Awards : Individual Call to Scientific Employment Stimulus (2017) CBQF Annual Incentives (2021–2025) Advising & Leadership : She supervises biotechnology internships and co-organizes scientific outreach events like the International Microorganism Day and Open Week at ESB. Her editorial role at MDPI underscores her academic engagement.

• Financial Economics
• Systemic Risk
• Banking and Financial Regulation
• +۷ مورد دیگر

Viral V. Acharya is a Professor of Finance and the C.V. Starr Professor of Economics at New York University's Leonard N. Stern School of Business. He is affiliated with several leading research institutions, including the Centre for Economic Policy Research (CEPR), the European Corporate Governance Institute (ECGI), and the National Bureau of Economic Research (NBER). His research spans critical areas in financial economics, with a focus on systemic risk, financial regulation, banking stability, corporate governance, liquidity risk, sovereign debt, and the implications of unconventional monetary policy. His work frequently addresses real-world financial crises and regulatory challenges. The trends in his scholarly output reveal a consistent emphasis on understanding the interconnectedness between financial institutions and broader economic stability. His publications explore topics such as credit derivatives, shadow banking, securitization, market freezes, and climate-related financial risks, often combining theoretical models with empirical analysis to inform policy. Notable contributions include seminal papers on measuring systemic risk, the design of prudential regulation, the role of liquidity in asset pricing, and the real effects of sovereign debt crises. His recent work continues to address pressing issues such as banking stress in 2023 and the rise of shadow banking in China.

Charlotte Dackمشاهده پروفایل

مدرس ارشد

• Evaluative Learning
• Preference and Self-efficacy
• Behaviour Change Interventions
• +۷ مورد دیگر

Dr. Charlotte Dack is a Senior Lecturer in the Department of Psychology at the University of Bath , where she has been employed since June 2014. She is affiliated with the Centre for Motivation and Behaviour Change and currently serves as Principal Investigator and Co-Investigator on multiple active research projects. Dr. Dack completed her PhD at Swansea University in 2010, focusing on the generalization of self-efficacy judgments to novel stimuli after evaluative learning. Her research examines mechanisms involved in generating and transferring self-evaluations through derived stimulus relations, with applications for understanding depression and anxiety disorders. Her primary research interests include: Evaluative Learning, Preference and Self-efficacy Behaviour Change Interventions Use of Mobile Technology for Health Applications Self-management of Long Term Conditions Patient and Public Involvement in Research/Participatory Design Relational Responding and Relational Frame Theory Dr. Dack's recent publications (2023-2025) demonstrate a strong focus on diabetes management, digital health interventions, and stigma reduction. Her work shows consistent themes in behavior change applications for chronic disease management, particularly examining how digital tools can improve self-management in diabetes and other long-term conditions. She has published in journals including BMJ Open , Health Psychology , and Critical Public Health . Dr. Dack serves on the editorial board for the Journal of Contextual Behavioral Science , the official journal for the Association of Contextual Behavioral Science. Her work contributes to UN Sustainable Development Goals, particularly those related to health and well-being. She is actively supervising doctoral students and has served as supervisor for multiple research projects and datasets. Her current projects include "Diabetes Distress" (funded by National Institute for Health Research through 2026), "Stigma Research Network," and development of digital self-management interventions for chronic conditions.

Iris Da Luz Batalhaمشاهده پروفایل

مدرس ارشد

• Nanomedicine
• Targeted Drug Delivery
• Immunomodulation
• +۲۰ مورد دیگر

Iris Da Luz Batalha is a Senior Lecturer in the Department of Life Sciences at the University of Bath, Faculty of Science. She leads the NanoImmunology and Molecular Pharmaceutics research group and is actively involved in advancing nanomedicine for targeted drug delivery and immunomodulation. She also holds an external position as Course Director in Nanotherapeutics at the Institute of Continuing Education (ICE), University of Cambridge. She is currently accepting doctoral students and supports applications for external fellowships. PhD in Bioengineering Systems, NOVA School of Science and Technology (FCT NOVA), 2014 MSc in Biotechnology, NOVA School of Science and Technology (FCT NOVA), 2009 BSc in Applied Chemistry, NOVA School of Science and Technology (FCT NOVA), 2007 Dr. Batalha's research focuses on developing nanomedicine-based strategies for targeted drug delivery and immune system modulation. Her work includes engineering drug-polymer conjugates and self-assembled soft materials that enable precise, stimulus-responsive drug release. A key innovation is 'Dynamic Targeting,' which exploits the metabolic profile of antigen-presenting cells via MR1 presentation. Her group tailors nanomedicines to modulate the complement system for vaccines or therapeutic delivery. Applications span cancer, tuberculosis, influenza, autoimmune diseases, and central nervous system disorders. Her recent publications (2019–2025) highlight advancements in polymersome design, tuberculosis therapy using MbtI inhibitors, blood-brain barrier penetration, and artificial enzyme development. These works reflect strong interdisciplinary trends in nanotechnology, immunology, and pharmaceutical sciences, with a focus on precision therapeutics and novel delivery mechanisms. Dr. Batalha serves as Guest Editor for Pharmaceutics (2024–2025) and Editor for Frontiers in Bioengineering and Biotechnology (2021–present), demonstrating active engagement in scholarly communication. She has also participated in media interviews and public outreach, including school engagement talks. She is Principal Investigator on the project The Lung Collective: Deciphering Metabolic Interactions for Therapeutic Intervention , indicating ongoing grant-funded research. She mentors doctoral students and supports postdoctoral fellowship applications from various international programs (e.g., EMBO, Marie Curie). Her research contributes to UN Sustainable Development Goals related to health and innovation. Dr. Batalha leads the NanoImmunology and Molecular Pharmaceutics group at the University of Bath, fostering a collaborative team environment focused on cutting-edge nanomedicine research. Her affiliations with Cambridge’s ICE further extend her educational impact in nanotherapeutics.

Kermit Schoenholtzمشاهده پروفایل

استاد بالینی

• Monetary Policy
• Financial Regulation
• Financial Markets
• +۶ مورد دیگر

Kermit Schoenholtz is a Clinical Professor Emeritus in the Department of Economics at New York University’s Leonard N. Stern School of Business. He has held roles as Citigroup’s Global Chief Economist (1997–2005) and previously at Salomon Brothers. His research focuses on monetary policy, financial regulation, and macroeconomics. Schoenholtz directs the Stern Center for Global Economy and Business, promoting global economic research and outreach. Educated at Yale University (M.Phil., 1982) and Brown University (A.B., 1977), he also served as a visiting scholar at the Bank of Japan’s Institute for Monetary and Economic Studies (1983–1985). He received the NYU Stern Faculty Leadership Award (2017) and has been a member of the Council on Foreign Relations since 2016. His work includes co-authoring the textbook Money, Banking, and Financial Markets and maintaining a blog on related topics. Education: M.Phil. in Economics, Yale University, 1982 A.B., Brown University, 1977 Key Affiliations: Member, U.S. Monetary Policy Forum Member, Financial Research Advisory Committee (2015–2022) Research Interests: Schoenholtz’s work emphasizes monetary policy frameworks, financial regulatory reforms, and global economic dynamics. His recent analyses address topics such as cryptocurrency regulation, central bank independence, and post-crisis financial stability. His articles often bridge academic insights with practical policy recommendations. Awards: NYU Stern Faculty Leadership Award (2017) Advising & Grants: While no student advisees are listed, his role at Stern and contributions to policy councils reflect extensive mentorship and institutional leadership. His research has been supported by NYU and external bodies like the U.S. Treasury’s Office of Financial Research. Labs/Teams: Directs the Stern Center for Global Economy and Business, fostering interdisciplinary research on global economic challenges and business strategies.

• Neuroscience
• Neurorehabilitation
• Brain-Computer Interfaces (BCI)
• +۷ مورد دیگر

Diego Andrés BLANCO MORA is a Postdoctoral Researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specializing in the AI Modelling and Prediction department. His work focuses on interdisciplinary research at the intersection of neuroscience, neurorehabilitation, and technology. Key areas include motor control, brain-computer interfaces (BCI), and applications of virtual reality (VR) in healthcare, particularly for stroke rehabilitation. He also explores urban neuroscience, investigating how brain activity relates to urban environments and public health. Diego's research combines advanced neuroimaging techniques like fMRI and EEG with innovative technologies such as tACS, tDCS, and VR-BCI systems. His recent studies highlight causal roles of beta-band oscillations in motor control, long-term VR-BCI training outcomes in stroke patients, and the predictive power of brain imaging for urban behavior. He has also contributed to developing urban stimulus datasets derived from social media and ethical considerations in pain detection for non-communicative patients. His publications reflect a strong emphasis on translational research, aiming to bridge fundamental neuroscience discoveries with clinical and urban applications. Diego collaborates across disciplines, engaging in projects that address neurorehabilitation challenges and the neuroscientific underpinnings of urban design.

Annie Kathuriaمشاهده پروفایل

استادیار

• Organoid Tissue Engineering
• Pluripotent Stem Cells
• 3D Tissue Models
• +۵ مورد دیگر

Annie Kathuria, PhD is an Assistant Professor in the Department of Biomedical Engineering at Johns Hopkins University, affiliated with the Kavli Neuroscience Discovery Institute. Her research focuses on organoid tissue engineering using pluripotent stem cells to create 3D models of neurological systems, particularly cerebral organoids for studying autism, schizophrenia, Alzheimer's, and other disorders. She leads the Kathuria Lab, which employs multi-modal approaches including electrophysiology and high-throughput imaging to advance drug screening and toxicological analysis. Education: PhD in Neuroscience (King’s College London, 2016), MSc in Clinical Neuroscience (King’s College London, 2012), BSc Double Major in Neuroscience/Genetics (University of Minnesota, 2011). She completed a postdoctoral fellowship at Harvard Medical School in 2019. Research Interests: Development of cerebral, retinal, and visceral organoids; molecular mechanisms of neurodevelopmental disorders; industry partnerships for translational applications in personalized medicine and food safety. Her work bridges stem cell biology, bioengineering, and computational analysis to create clinically relevant models. Recent Highlights: 2023 interview highlighted her vision for integrating organoid systems with machine learning to accelerate drug discovery. Her lab's multi-region brain organoid fusion system (2025) represents a major advancement in modeling complex neural circuits.

Asieh Abolpour Mofradمشاهده پروفایل

پژوهشگر

• Machine Learning
• Neural Networks
• Associative Memory
• +۷ مورد دیگر

Asieh Abolpour Mofrad is a researcher at the Department of Informatics, University of Bergen (UiB), with a dual PhD background in behavioral sciences and informatics. She is currently engaged in the Retail Fresh project, leveraging machine learning to reduce food waste in the retail sector in collaboration with Link Retail. Previously, she contributed to the DRONE (Drug Repurposing for Neurological Diseases) project at the Department of Global Health and Public Health, UiB, where she applied machine learning to Norwegian health registry data to investigate Parkinson's disease treatments. Her academic credentials include two doctoral theses: one from OsloMet (2021) on the integration of behavior analysis and machine learning for modeling stimulus equivalence, and another from UiB (2021) on clique-based neural associative memories. Her research bridges artificial intelligence, cognitive modeling, neural networks, and public health applications. Her research interests span machine learning, neural associative memory, reinforcement learning, cognitive modeling, health informatics, and drug repurposing. She employs computational frameworks such as projective simulation and tournament-based neural networks to model complex cognitive and biological phenomena. The analysis of her recent publications reveals a consistent focus on machine learning applications in both cognitive science and healthcare. Her work includes modeling stimulus equivalence, designing neural memory architectures, solving stochastic optimization problems, and analyzing large-scale health data for neurological disease risk. These efforts reflect interdisciplinary innovation, combining theoretical computer science with real-world applications in psychology and medicine. Scientific Contributions: Developed the Enhanced Equivalence Projective Simulation (E-EPS) framework for modeling derived relations in behavior analysis. Designed tournament-based neural networks for efficient sequence storage and bidirectional retrieval. Applied machine learning to large-scale health registries to identify drug classes associated with Parkinson’s disease risk. Contributed to adaptive learning systems based on flow theory for educational optimization. She has advised no publicly listed students but collaborates extensively with researchers across institutions. Her work is supported by interdisciplinary research projects and she actively disseminates code via GitHub, particularly in Jupyter notebooks for reproducibility. She is affiliated with research teams in informatics and global health at UiB, contributing to both theoretical and applied machine learning initiatives. Laboratories and Research Teams: Department of Informatics, University of Bergen – Machine Learning and Neural Systems group. DRONE Project – Interdisciplinary team on drug repurposing using AI and health data. Retail Fresh Project – AI for sustainable retail, in collaboration with industry partners.

Judah Axeمشاهده پروفایل

استاد مدعو

• Verbal Behavior
• Problem Solving
• Antecedent Interventions
• +۵ مورد دیگر

Dr. Judah Axe serves as an Adjunct Professor in the Department of Behavior Analysis within Simmons University's College of Social Science, Policy, and Practice. Since joining Simmons in 2008, he has taught courses in verbal behavior and single-subject research design across on-ground and online master's and PhD programs, while supervising doctoral research in Applied Behavior Analysis (ABA) interventions for autism spectrum disorder. His educational background includes: PhD in Special Education and Applied Behavior Analysis from The Ohio State University (2008) MA in Special Education and Applied Behavior Analysis from The Ohio State University (2005) BS in Molecular Biology from University of Wisconsin-Madison (2000) Dr. Axe's research focuses on verbal behavior, problem solving, antecedent interventions for challenging behavior, social behavior, matrix training, and staff training . His work emphasizes evidence-based ABA applications to improve outcomes for individuals with autism, particularly through innovative teaching strategies and behavioral interventions. Current projects examine equivalence class formation, mand training techniques, and staff implementation fidelity. Analysis of his recent publications reveals a strong emphasis on methodological rigor in ABA research , with growing attention to technology-assisted interventions (2024-2025) and nuanced verbal behavior applications. His work bridges theoretical behavior analysis with practical classroom and clinical implementations, particularly for autism interventions. Professional recognition includes: Excellence in Teaching Verbal Behavior Award (Verbal Behavior SIG, 2021) Dean Faculty Research Fellowship (College of Social Science, Policy, and Practice, 2019) Distinguished Faculty Member award (Ohio State University Special Education Program, 2013) Dr. Axe actively supervises doctoral students in his research lab, with 10 documented advisees co-authoring publications on topics including motivating operations, equivalence classes, and social reinforcer development. His lab operates through continuous project cycles examining verbal behavior acquisition and intervention efficacy, though specific grant funding details aren't publicly documented. The research lab maintains active investigations across six core domains: verbal behavior acquisition, problem-solving strategy instruction, antecedent-based intervention for challenging behavior, social skills development, matrix training generalization, and staff training protocols - all focused on autism spectrum disorder populations.

• Applied Behavior Analysis
• Autism Spectrum Disorders
• Behavioral Assessment
• +۳ مورد دیگر

Colleen Yorlets is a Lecturer in the ABA Graduate Program at the Grenon School of Business, Assumption University. She holds a B.A. in Psychology from Franklin & Marshall College, an M.A. in Psychology from Boston University, and an M.S. in Behavior Education from Simmons College. With over a decade of experience in behavioral services for children with autism and developmental disabilities, her work focuses on stimulus equivalence, derived relations, and verbal behavior. She previously taught graduate courses on single-subject research design and behavioral assessment, and currently serves as a doctoral candidate in behavior analysis at Simmons College.

• Financial technologies
• Financial econometrics
• Machine Learning in Investment
• +۷ مورد دیگر

Cuong Nguyen is an active Associate Professor in Finance & FinTech at Lincoln University's Faculty of Agribusiness and Commerce, Department of Financial and Business Systems. He serves as Program Director for the Master of Fintech & Investment Management (2021-present) and holds visiting professorships at Ritsumeikan University and UT Dallas. His research spans financial technologies, econometrics, and emerging markets with international recognition through fellowships at Austrian and European mathematical institutions. PhD in Finance from La Trobe University MA from Ritsumeikan University Certificate in Effective Tertiary Teaching CA-ANZ Chartered Accountant CPA Australia certification Web 3.0 Financial Services certifications from NUS Professor Nguyen's research focuses on the intersection of traditional finance and emerging technologies, particularly examining how machine learning, distributed ledger technology, and digital assets transform financial systems. His work analyzes market behaviors during crises like the COVID-19 pandemic, explores green investment frameworks, and investigates policy uncertainty impacts on banking stability. Current projects include applications of deep learning in textual analysis and insurtech solutions for financial sustainability. His publication record demonstrates consistent contributions to top finance journals with recent work emphasizing pandemic-era market dynamics, policy uncertainty effects, and technological disruption in finance. The research portfolio shows increasing focus on fintech applications while maintaining strong foundations in financial econometrics and emerging market analysis. Australian Leadership Awards recipient Postgraduate Publication Research Award 2016 Lincoln University Research Fund Award 2013 Multiple university-funded grants for blended learning Research fellowships at Austrian Academy of Sciences and European Mathematical Society Professor Nguyen has supervised over 15 PhD students with two now teaching at Otago University and Auckland University of Technology. His completed supervision portfolio includes 25 research-based theses covering diverse topics from commodity risk management to blockchain applications. He actively collaborates on international projects including media engagements, industry advisory roles, and panel discussions on fintech developments. Current supervisions focus on startup economics, financial reporting quality, insurtech, and deep learning applications. Through the Master of Fintech & Investment Management program, he leads initiatives connecting academic research with industry applications in digital finance. His work with the Asian Institute of Digital Finance at NUS demonstrates commitment to developing practical Web 3.0 financial solutions. The research group maintains strong industry partnerships for real-world testing of blockchain and AI-driven financial tools.

Rico Taborمشاهده پروفایل

استاد

• Soft matter
• Colloidal systems
• Self-assembly
• +۹ مورد دیگر

Rico Tabor is a Professor (Research) in the School of Chemistry at Monash University. He holds a PhD from the University of Bristol (UK) and has been a lecturer at Monash since 2012. His research focuses on soft and colloidal systems, including self-assembly of nanoscale materials, surface forces in emulsions/foams, and stimuli-responsive stabilizers. Key tools include small-angle neutron scattering (SANS) and collaborations at global facilities like ISIS (UK) and the Bragg Institute (Australia). Education: BSc (Undergraduate) in Chemistry, University of Bristol (UK) PhD in Physical Chemistry, University of Bristol Research Interests: His work spans soft matter systems, including micelles, liquid crystals, and microemulsions. He investigates structural forces in colloidal systems and develops light-responsive materials (e.g., azobenzene-based systems). Applications include drug delivery, pollutant capture, and sustainable materials. Projects: He leads 46 projects, including ARC-funded research on 2D materials (AM2D Hub), compostable packaging, and graphene oxide composites. Recent projects focus on thermal energy storage and nanomaterial coatings. Publications: Over 180 outputs since 2006, with recent work on stimulus-responsive polymers, carbon-based catalysts, and neutron scattering analysis of emulsions. Grants & Collaborations: Funding from ARC, industry partners (e.g., Varden Process Pty Ltd), and international networks. His work aligns with UN SDGs related to sustainable industry (SDG 9) and responsible consumption (SDG 12).

Daniel Fienupمشاهده پروفایل

استاد

• Applied Behavior Analysis
• Special Education and Disabilities
• Instructional Strategies
• +۳ مورد دیگر

Dr. Daniel Fienup is a Professor of Psychology and Education at Teachers College, Columbia University, and Director of the Applied Behavior Analysis (ABA) program. His affiliations include the Health Studies & Applied Educational Psychology department and the ABA program. His research focuses on ABA applications in education, instructional strategies for diverse populations, and optimizing educational outcomes through behavior analysis. Notable areas include stimulus equivalence, mastery learning, and interventions for individuals with developmental delays. He holds a Ph.D. in Psychology and has authored over 50 peer-reviewed publications since 2013. Recent work explores behavioral interventions in online learning, parent-child interactions, and classroom economics. His research emphasizes practical applications, such as improving academic performance through structured reinforcement systems and analyzing derived relational responding in natural settings. Dr. Fienup has advised numerous doctoral (D), master’s (M), and undergraduate (U) students, focusing on special education, behavior analysis, and educational technology. His lab develops evidence-based strategies for K-12 and university settings, emphasizing cost-effective and scalable solutions. Collaborations include studies on telehealth interventions and peer tutoring for children with autism.

• Real Estate Economics
• Real Estate Finance
• Applied Financial Econometrics
• +۳ مورد دیگر

Roland Füss is a Professor at the School of Finance , University of St. Gallen , with a focus on Real Estate Economics , Real Estate Finance , Applied Financial Econometrics , and Risk Management . He previously held faculty positions at EBS Universität für Wirtschaft und Recht and University of Freiburg . Education : Habilitation in Business Administration and Econometrics (2007), University of Freiburg Dissertation (summa cum laude, 2003), University of Freiburg Degree in Economics (1999), University of Freiburg Degree in Business Administration (1993), University of Applied Science, Lörrach Studying Painting (1988-1990), Academy of Arts Düsseldorf under Prof. Gerhard Richter Research interests span Real Estate Economics , Real Estate Finance , Applied Financial Econometrics , and Risk Management . His recent articles analyze topics like photovoltaic systems' impact on rents , virtual real estate pricing , low-carbon premiums , and spillover effects in real estate , reflecting his expertise in real estate finance and financial econometrics . Scientific awards include a Best Paper Award (2010), an Overall Best Paper Award (2016), and a Research Prize (2016). He serves on editorial boards for journals like the Journal of Housing Economics and Journal of Property Research . Professional affiliations include membership in the American Finance Association , European Finance Association , and Deutsche Gesellschaft für Finanzwirtschaft . He has held visiting positions at NTNU Business School and National University of Singapore , contributing to global academic collaboration in real estate and finance.