Find Academic Supervisors

Duarte GonçalvesView profile

Assistant Professor

• Microeconomic Theory
• Behavioral Economics
• Information Economics
• +4 more

Duarte Gonçalves is an Assistant Professor in the Department of Economics at University College London (UCL). He holds a Ph.D. in economics from Columbia University (2021). His research focuses on microeconomic theory and behavioral economics, with emphasis on information economics, strategic behavior, and the implications of online recommender systems. His work bridges theoretical frameworks with empirical applications, particularly in understanding decision-making dynamics and market mechanisms. Key research areas include sequential sampling equilibrium, incentives in strategic settings, and the welfare effects of platform dual roles. Collaborations with scholars like Guy Aridor, Teresa Esteban-Casanelles, and Jonathan Libgober have produced influential papers in top journals such as Econometrica and the American Economic Review. His field experiments on platforms like MovieLens explore user behavior and algorithmic impacts, contributing to both theoretical and applied economics. Gonçalves’ recent work addresses topics such as robust statistical mechanisms, complexity in decision processes, and the informational role of recommendation systems. His contributions span experimental economics, game theory, and computational social choice, reflecting a commitment to interdisciplinary approaches.

Denka KutzarovaView profile

Professor

• Functional Analysis
• Geometry of Banach Spaces
• Approximation Theory
• +3 more

Denka Kutzarova is a Professor in the Department of Mathematics at the University of Illinois at Urbana-Champaign. She holds an office in Altgeld Hall and specializes in functional analysis, particularly focusing on the geometry of Banach spaces and approximation theory. Her work includes studies on subsymmetric sequences, norms in Banach spaces, and greedy algorithms. Education: 1983 Ph.D. in Mathematics, University of Sofia, Bulgaria Research Interests: Dr. Kutzarova’s research explores advanced topics in functional analysis, including the geometric properties of Banach spaces, renorming theory, and the structure of infinite-dimensional spaces. She investigates properties like uniform convexity, uniform smoothness, and the interplay between these properties and operator theory. Her work also delves into approximation theory, greedy algorithms, and the construction of explicit matrices with restricted isometry properties for compressed sensing applications. Publications Overview: Her recent work focuses on subsymmetric sequences, 2-rotund norms, and metric embeddings. Key themes include the structural analysis of Banach spaces, properties of sequence spaces, and applications to transportation cost spaces. Her research bridges theoretical functional analysis with practical applications in approximation and matrix theory. Additional Contributions: Beyond academic work, she authored a series of novels titled Journey of the Guinea Pig , exploring themes of academia and cultural identity. She also contributes poetry, including works published in both Bulgarian and Russian.

Matina RassiasView profile

Associate Professor

• Stochastic Analysis
• Functional Equations
• Statistics Education
• +3 more

Matina Rassias is an Associate Professor (Teaching) in the Department of Statistical Science at University College London (UCL), holding this position since 2010. She holds a PhD in Statistics and Modelling Science from the University of Strathclyde, Glasgow, following undergraduate studies in Mathematics at the National and Kapodistrian University of Athens and postgraduate studies in Financial Mathematics at Edinburgh University/Heriot-Watt University. Prior to UCL, she was a Research Scholar at UC Berkeley and a Teaching Fellow at the University of Glasgow, collaborating with the Higher Education Academy's Mathematics, Statistics and Operational Research Subject Center. Her research focuses on Stochastic Analysis , Stochastic Functional Differential Equations , Functional Equations and Inequalities , and Statistics and Mathematics Education . Recent work emphasizes stability analysis of functional equations and pedagogical innovations in large statistical lectures. She has published across pure mathematics journals (e.g., Bulletin des Sciences Mathématiques ) and educational proceedings (e.g., ICOTS conferences). Her publications span 2005–2019, covering theoretical developments in stochastic processes and functional equations, alongside contributions to mathematics education. Notable collaborations include work with Prof. Xuerong Mao on stochastic differential delay equations and pedagogical studies with colleagues at UCL. While no specific awards are listed, her trajectory reflects sustained contributions to both mathematical theory and educational practice. Her teaching roles highlight a dual focus on statistical science instruction and advancing educational methodologies in STEM disciplines.

• Artificial Intelligence in Medicine
• Wearable Sensors
• Medical Imaging
• +3 more

Mozziyar Etemadi, MD, PhD, is an Assistant Professor at Northwestern University, holding dual appointments in the Feinberg School of Medicine (Department of Anesthesiology) and the Mccormick School of Engineering . His research focuses on integrating artificial intelligence with wearable technology to address critical challenges in clinical care, particularly in cardiology, gastroenterology, and maternal health. He leads projects in the Institute for Augmented Intelligence in Medicine and Northwestern University Clinical and Translational Sciences Institute (NUCATS) . **Education**: BS and MS from Stanford University (2008–2009); PhD and MD from University of California, San Francisco (2013–2016). Postdoctoral training included Computer Science at UC Berkeley (2014) and Anesthesiology residency at Northwestern (2021). Board-certified in Anesthesiology. **Research**: Develops AI-driven tools for non-invasive monitoring (e.g., wearable sensors for heart failure, pulmonary pressure estimation) and diagnostic systems in radiology and gastroenterology. Key areas include reducing racial bias in clinical AI, improving radiologist efficiency, and global health applications like fetal ultrasound in low-resource settings. **Awards**: Notable recognitions include Forbes 30 Under 30 in Science (2011) , CIMIT Prize for Primary Care Innovation (2012) , and a Best Paper Award at EICS (2015) . **Industry Ties**: Collaborates with Cardiosense and other entities, focusing on translational AI solutions for clinical challenges. His work balances academic innovation with real-world healthcare impact.

Valerie VenturaView profile

Professor

• Computational Neuroscience
• Time Series Forecasting
• Graphical Models
• +6 more

Valerie Ventura is a Professor in the Department of Statistics and Data Science at Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. She serves as Co-Director of the Ph.D. Program and maintains dual affiliations as affiliated faculty in the Machine Learning Department and the Center for the Neural Basis of Cognition (CNBC). As a graduate advisor for the Program in Neural Computation (PNC), she bridges statistical methodology with neuroscience applications. Her research focuses on computational neuroscience, particularly time series forecasting, networks, algorithms, and nonparametric methods. Key research areas include computational neuroscience, biostatistics & epidemiology, graphical models & networks, and DELPHI lab projects. Her work integrates advanced statistical techniques to solve complex problems in neural data analysis, motor control, and neural decoding. Analysis of her publication record reveals consistent contributions to neural decoding methodologies, spike train analysis, and cortical covariance modeling. Her recent work emphasizes practical applications in brain-machine interfaces and neural prosthetics, with a strong focus on improving decoding accuracy through novel statistical approaches to spike sorting and waveform analysis. The integration of machine learning with traditional statistical methods characterizes her interdisciplinary approach. Scientific Awards: 2006 Canadian Journal of Statistics Best Paper Award As an educator, Ventura serves as Co-Director of the Ph.D. Program in Statistics and Data Science while advising students through the CNBC's Program in Neural Computation. Her collaborations span multiple departments and research centers, particularly through the DELPHI Lab Group which focuses on computational neuroscience applications. Current research directions suggest continued innovation in neural decoding algorithms and applications to motor control systems.

Dax D'OrazioView profile

Research Fellow

• Free Expression Policy
• Academic Freedom
• Higher Education Politics
• +4 more

Dax D'Orazio is a Research Fellow in the Department of Political Studies at Queen's University, holding dual affiliations as a Peacock Post-Doctoral Fellow of Pedagogy and listed under the Term Adjunct category. He holds a PhD from the University of Alberta, an MA from Carleton University, and a BA from Carleton University. His research focuses on free expression philosophy, academic freedom, and higher education policy, with particular emphasis on campus free speech debates in Canada and constitutional protections for expression on university campuses. His doctoral work analyzed the 'campus free speech crisis,' combining theoretical frameworks with empirical methods like freedom of information requests. Current projects include a book under contract with University of Toronto Press exploring campus free speech politics and a legal analysis of expanding Charter protections to university settings. He actively contributes to the Centre for Free Expression's Working Group on Academic Freedom. Teaching includes POLS 422: Public Opinion (Fall 2023). His work spans academic journals and public platforms, emphasizing knowledge mobilization through blogs, op-eds, and media engagement. He advocates for robust public discourse and academic transparency through his writing and advocacy efforts.

• Medicinal Chemistry
• Organic Synthesis
• Cancer Therapeutics
• +5 more

Dr. Daniel Alencar Rodrigues is a Lecturer at the Royal College of Surgeons in Ireland (RCSI) in the School of Pharmacy and Biomolecular Sciences. He holds a PhD in Chemistry from the Federal University of Rio de Janeiro and has held academic positions including Assistant Professor (2017–2018) and Postdoctoral Researcher (2020–2023). His research focuses on medicinal chemistry, organic synthesis, and cancer therapeutics, particularly targeting histone deacetylases (HDACs), phosphatidylinositol-3-kinase (PI3K), and the development of Proteolysis Targeting Chimeras (PROTACs). Education: PhD in Chemistry, Federal University of Rio de Janeiro (2015–2019) MSc in Chemistry, Federal University of Rio de Janeiro (2013–2015) Bachelor in Pharmacy, Federal University of Goiás (2008–2012) Postgraduate Diploma in Health Professions Education, RCSI (2023–2024) His research interests include: Design and synthesis of multi-target drugs and PROTACs for cancer therapy HDAC6 inhibition in breast and brain cancers Computational chemistry for drug design (molecular docking, virtual screening) Development of novel anticancer agents targeting metabolic vulnerabilities Dr. Rodrigues has received the Government of Ireland Postdoctoral Fellowship and has a robust publication record with over 20 peer-reviewed articles. His lab employs a multidisciplinary approach combining organic synthesis, computational modeling, and biological evaluation. Teaching responsibilities include lecturing in the Master of Pharmacy (MPharm) and BSc in Advanced Therapeutic Technologies programs, with a focus on musculoskeletal and haematological health modules. He emphasizes constructive alignment in teaching practices.

• Biomedical Sciences
• Forensic Sciences
• Academic Integrity
• +4 more

Shivadas Sivasubramaniam is an Associate Lecturer in Biomedical and Forensic Sciences at the College of Science and Engineering , focusing on PhD supervision. His work spans biomedical research and academic integrity. Current Role: Lecturer in Biomedical and Forensic Sciences Institution: College of Science and Engineering Research Interests Dr. Sivasubramaniam's research bridges biomedical sciences and academic integrity . Key areas include: Stem cell biology in cancer resistance Antioxidant mechanisms in trophoblast cells Ethical governance in medical research Peer review processes and publication integrity Gamification of academic ethics Recent publications highlight his dual focus on cancer therapeutics (e.g., doxorubicin-resistant cell lines) and educational integrity (e.g., peer review systems, plagiarism in Indian cinema). Scientific Contributions His work on flavonoids reveals mechanisms for cytoprotective effects against oxidative stress, while his studies in academic integrity propose frameworks for ethical research practices and gamified learning.

John ParkinsonView profile

Professor

• behavioral psychology
• cognition and emotion
• health promotion
• +10 more

John Parkinson is Professor of Behavioral Psychology at Bangor University's School of Psychology and Sport Science, where he directs the Wales Centre for Behaviour Change and collaborates with Public Health Wales Behavioural Science Unit. His academic journey began with a BA (Hons) from Durham University followed by a PhD from the University of Cambridge, establishing his foundation in the psychological mechanisms underlying health behaviors. His educational background includes: PhD, University of Cambridge BA (Hons), Durham University Parkinson's research centers on the critical interface between cognition and emotion in health contexts, with particular focus on how motivational signals interact with cognitive processes to influence behavior. His work integrates dual-process theory with contemporary behavior models like COM-B, examining attentional bias, memory processes, and decision-making in health contexts. Recent investigations explore the impact of positive emotional states on cognition and the nature of stimulus-induced behaviors in addictive contexts. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied behavioral science with increasing emphasis on health equity and systemic approaches. His work spans cognitive psychology, public health, and behavioral economics, with growing attention to real-world implementation of behavior change interventions across diverse populations and settings. Parkinson actively supervises PhD students and leads significant research initiatives, including: APPLIED LEARNING FOR PREVENTATIVE HEALTH ACADEMY (ALPHAcademy) - Welsh Government-funded £1.2m program (2021-2025) PHW RFQ RA346311 Insight Study on hypertension services engagement (2024-2025) Financial analysis of obesity impact on Cwm Taf Morgannwg University Health Board (2024-2025) BU-IIA Funded Project on Covid-19's transition to endemicity in Wales and Kentucky (2022-2023) As Director of the Wales Centre for Behaviour Change (2013-2022), he established a collaborative hub applying behavioral science to real-world challenges, working with both public and private sector organizations to develop evidence-based interventions for sustainable lifestyles and economic prosperity.

Max GaragnaniView profile

Senior Lecturer

• Computational Neuroscience
• Neural Networks
• Cognitive Science
• +7 more

Dr. Max Garagnani is a Senior Lecturer in Computer Science at Goldsmiths, University of London, and co-director of the MSc in Computational Cognitive Neuroscience. He holds dual PhDs from the University of Cambridge (Computational Cognitive Neuroscience, 2009) and the University of Durham (Artificial Intelligence, 1999). His primary research focuses on developing biologically realistic neural networks to model cognitive functions like language acquisition, decision-making, and perception-action integration. Garagnani's work emphasizes neurocomputational models constrained by brain anatomy and physiology, particularly exploring how language emerges from neural activity in the cortex. He has collaborated with institutions like the Free University of Berlin’s Brain Language Lab and the MRC Cognition and Brain Sciences Unit. His research combines computational modeling with neuroimaging (MEG/fMRI) and robotics (e.g., iCub). Key achievements include modeling semantic dementia breakdown, explaining visual cortex recruitment in blind individuals, and simulating prediction-error signals in cortical hierarchies. Awards include the EU Marie Curie Fellowship and EPSRC grants. He teaches courses in computational neuroscience and supervises projects in neural network modeling and cognitive systems.

Kevin HuangView profile

Professor

• Solid oxide fuel cells
• Energy storage batteries
• Gas separation membranes
• +3 more

SmartState Endowed Chair Professor at University of South Carolina directing Solid Oxide Fuel Cell Center. Associate Editor for Journal of Electrochemical Energy Conversion and Storage. Education: PhD Physical Chemistry (1992), University of Science and Technology Beijing; MS Physical Chemistry (1989), Northeastern University. Research focuses on solid oxide electrochemical systems including fuel cells, batteries, and gas separation membranes. Current projects include DOE-funded development of dynamic solid oxide fuel cells, stable critical materials for hydrogen production, and zinc-ion battery fundamentals. Author of foundational textbook on solid oxide fuel cell technology. Awards include Breakthrough Leadership in Research (2018) and multiple Siemens awards for industrial contributions. Supervised 30+ PhD students. Secured $15M+ research funding from NSF, DOE, DoD. Holds affiliate appointment in Chemical Engineering. Teaches mechanical engineering laboratories and advanced energy storage courses.

Ram MohapatraView profile

Professor

• Mathematical Analysis
• Operator Theory
• Variational Inequalities
• +3 more

Ram Mohapatra is a Professor in the Department of Mathematics at the University of Central Florida (UCF), part of the College of Sciences. His research interests span mathematical analysis, operator theory, variational inequalities, approximation theory, cybersecurity, and fluid dynamics. He has published extensively on topics including inverse scattering problems, generalized inverses, and optimal control theory. His work often intersects with applications in engineering and data science. Recent research focuses on operator theory applications, tensor decompositions, and mathematical modeling of physical systems. He has contributed to advancements in frame theory, numerical radius studies, and cybersecurity methodologies. His academic activities include teaching undergraduate and graduate courses in mathematics, such as MAC 1105C and MAC 2311C, and maintaining active collaborations in interdisciplinary research areas. Professional contributions include over 150 peer-reviewed articles and editorial roles in mathematics journals. While no explicit awards are listed in the provided texts, his prolific publication record underscores his scholarly impact in applied and theoretical mathematics.

Augusto Luís Barros LopesView profile

Assistant Professor

• Materials Science and Engineering
• Electron Microscopy
• Microstructure Analysis
• +3 more

Augusto Luís Barros Lopes is an Assistant Professor in the Materials and Ceramic Engineering Department at the University of Aveiro since January 2009. Previously, he served as an Invited Assistant Professor at the same department (2004–2008). He holds a PhD in Materials Science and Engineering from the University of Aveiro (2001) and a Bachelor's in Ceramic and Glass Engineering (1989). He has been the Senior Technician responsible for the Electron Microscopy Service at the department (1991–2004). His research focuses on Materials Science and Engineering , with expertise in electron microscopy (SEM/TEM and EDS/PEELS) , microstructure-property relationships , and plastic deformation of materials . He teaches courses on metals, ceramics, characterization techniques, and mechanical properties. Key publications include studies on dual-phase steels, asymmetric rolling of aluminum alloys, and nanocomposite synthesis. He leads projects like EcoCerâmica (enhancing ceramics/crystal sector competitiveness) and FOCO (optimizing cabinet cooling). He advises PhD students and has collaborated internationally on materials processing and characterization. His work spans structural materials, energy-related materials, and advanced manufacturing techniques.

Matt WardView profile

Professor

• Speculative Design
• Radical Pedagogy
• Urban Computing
• +3 more

Professor Matt Ward holds dual roles as Professor of Design and Senior Lecturer at the Design Department of Goldsmiths, University of London. His research explores speculative design, radical pedagogy, and the intersection of technology with societal futures. Ward is a founding member of DWFE, a post-disciplinary design syndicate creating interventions to reconfigure human perceptions. He consults for organizations like Nokia and BERG, and his work includes three international patents related to IoT and urban computing. Notable projects include 'Disco School' series and 'The Illegal Town Plan,' which reimagine urban and coastal futures through participatory design. His academic affiliations include MIT Media Lab and the Royal College of Art. Ward actively publishes in areas of heritage studies, design education, and critical theory, with works featured in journals like International Journal of Heritage Studies and Temes de Disseny . Educational background inferred from professional roles and publications. Ward lectures globally on design, technology, and education, maintaining a blog and active photography practice. His research emphasizes speculative methodologies to address societal challenges, blending practice with theoretical inquiry. Publications span books, articles, and exhibitions, with a focus on rethinking heritage processes and urban futures. Collaborations include projects with Jimmy Loizeau and institutions like the Max Planck Institute. No specific grants or awards listed, though his extensive patent portfolio highlights technical contributions. Teaching and advisory roles are central to his profile, though formal student lists are not provided.

Alex RubensteinView profile

Associate Professor

• Organizational Behavior
• Employee Turnover
• Newcomer Socialization
• +2 more

Alex Rubenstein serves as Associate Professor of Management and Ph.D. Program Coordinator at the University of Central Florida's College of Business. His research program examines employee transitions within organizational contexts, with particular emphasis on newcomer adjustment processes and employee withdrawal/turnover mechanisms. Additional expertise includes individual differences in personality and ability, along with advanced research methodologies. Rubenstein's scholarly contributions appear in premier management journals including Academy of Management Journal, Journal of Applied Psychology, Personnel Psychology, and Journal of Management. He teaches organizational behavior, human resource management, and research methods across undergraduate, graduate, and executive education programs. As an active contributor to the academic community, Rubenstein serves on editorial boards for Journal of Applied Psychology, Personnel Psychology, Journal of Management, and Journal of Organizational Behavior. His doctoral training was completed at the University of Florida's Warrington College of Business, complemented by dual bachelor's degrees in business and psychology from the University of Washington.