Find Academic Supervisors

• Reading Comprehension
• Linguistics
• Educational Psychology
• +3 more

Julie Van Dyke is an Assistant Clinical Professor at the Child Study Center, Yale University. Her research focuses on reading comprehension mechanisms, linguistics, and educational interventions, employing eye-tracking technology and computational methods. She explores how text formatting, acoustic features, and linguistic structures influence comprehension across populations including ELL students and adolescents. Notable contributions include databases like DerLex and CompLex, analyzing word reading behavior through eye-movement studies. Her work bridges cognitive science with practical educational applications, addressing both theoretical and applied challenges in literacy development. Her academic contributions extend to special issue curation and peer-reviewed publication processes, reflecting her role in advancing scholarly discourse in reading research. While no explicit awards or student advisement are noted in the text, her prolific output since 2019 demonstrates sustained engagement with language processing, phonological awareness, and syntactic-semantic interactions in comprehension.

Ricardo Baeza-YatesView profile

Professor

• Algorithms
• Responsible AI
• Web Search and Mining
• +7 more

Ricardo Baeza-Yates serves as Director of Research at the Institute for Experiential AI at Northeastern University's Silicon Valley campus. He also maintains part-time professor positions at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Previously, he was VP of Research at Yahoo Labs (2006-2016) and CTO of NTENT, a semantic search technology company. His academic career spans over three decades with significant contributions to both industry research and academia. Dr. Baeza-Yates earned his Ph.D. in Computer Science from the University of Waterloo, Canada, in 1989. His academic journey includes professorships at Universidad de Chile (1989-2004), ICREA Professor at Universitat Pompeu Fabra (2004-2005), and ongoing part-time appointments at both institutions since 2004 and 2006 respectively. His research spans algorithms, information retrieval, web search and mining, data science, with increasing emphasis on responsible AI and ethical considerations in technology. He is particularly renowned for his work on bias in search systems, algorithmic fairness, and the societal impacts of AI. His expertise uniquely bridges technical aspects of search and data mining with ethical and societal implications, making him a leading voice in the responsible AI movement globally. His recent scholarly output demonstrates a strong focus on bias detection, fairness metrics, responsible technology development, and the societal impacts of algorithms. The work spans technical machine learning and information retrieval while increasingly addressing ethical and social dimensions across diverse application areas from finance to healthcare to social media. Dr. Baeza-Yates has received numerous prestigious awards throughout his distinguished career: 2019 Corresponding Member of the Brazilian Academy of Sciences 2019 Award Salvà i Campillo to the Person of the Year 2018 National Research Award for applied research and technology transfer 2012 ASIS&T Best Information Science Book Award for Modern Information Retrieval 2011 IEEE Fellow for contributions to computer science development 2009 ACM Fellow for contributions to information retrieval algorithms 2002 Corresponding member Chilean Academy of Sciences As an educator and mentor, Dr. Baeza-Yates has advised numerous students throughout his academic career at multiple institutions. His textbook 'Modern Information Retrieval' has become a standard reference in the field, influencing generations of computer scientists. He has secured significant research funding through his leadership roles at Yahoo Labs and academic grants, demonstrating his ability to bridge theoretical research with practical applications. Dr. Baeza-Yates is actively involved with the DATA Lab at Northeastern University's Khoury College of Computer Sciences and previously founded the Web Science and Social Computing Research Group at Universitat Pompeu Fabra. He serves on multiple high-impact advisory boards including the Global AI Ethics Consortium, Global Partnership on AI, and IADB's fAIr LAC Initiative for Latin America and the Caribbean, reflecting his global influence in shaping responsible AI practices.

• Economics
• Labor Economics
• Migration Studies
• +2 more

Courtney Brell is a Lecturer at the Department of Economics, University College London, with a research focus spanning both Economics and Quantum Computing. Her work addresses diverse topics, including labor market integration of refugees, immigration economics, and theoretical physics in quantum systems. Her research in Economics centers on migration policy, wage dynamics, and labor market impacts, particularly in high-income countries. In Quantum Computing, she explores topological quantum error correction, stabilizer codes, and quantum memory. Her publications reflect interdisciplinary contributions across these domains. Courtney Brell has published 13 key articles between 2011 and 2020, with significant output in quantum computing (2011–2017) and economics (2019–2020). Notable works include the 2020 analysis on refugee integration and foundational studies on quantum error correction. Courtney Brell has no documented scientific awards. Her role as a Lecturer involves teaching and research, with collaborations reflecting her interdisciplinary expertise.

Yingjie YuanView profile

Assistant Professor

• Social Networks
• Creativity and Innovation
• Team Information Processing
• +2 more

Dr. Yingjie Yuan is an Assistant Professor in Human Resource Management & Organizational Behaviour at the Faculty of Economics and Business, University of Groningen. Her research focuses on social networks, creativity and innovation, team information processing, and star performers. She earned her Ph.D. in Organizational Behavior from Erasmus University Rotterdam and holds degrees from Renmin University of China and Wuhan University, including a minor in Economics. Ph.D., Erasmus University Rotterdam (2012-2017) MSc., Renmin University of China (2008-2010) B.S., Wuhan University (2004-2008) Yuan's research explores how team dynamics and network structures influence creativity, including topics like idea selection, information elaboration, and the role of leader authenticity. She has published extensively in top journals and conferences, emphasizing mechanisms like redundancy in external contacts and psychological safety in cross-cultural teams. Her professional service includes reviewing for the Academy of Management Conference, INGRoup Conference, and IACMR Biannual Conference since 2010. She serves in leadership roles at the University of Groningen, including Vice-chair of the research Lab committee and Coordinator of the CONINC interdisciplinary research center.

Hakan S. OrerView profile

Professor

• Pharmacology
• Cardiovascular Physiology
• Neuropharmacology
• +5 more

Hakan S. Orer is a Professor at Koç University School of Medicine, serving as Chairman of the Ethics Committees (IRB). He holds an MD from Hacettepe University Medical School (1986) and a PhD in Pharmacology from Hacettepe University and the Pitié-Salpêtrière School of Medicine (Paris, 1992). After postdoctoral research at Michigan State University, he joined Hacettepe University’s Pharmacology Department (1995-2012), later becoming Director of Graduate Studies in Allied Health Sciences (2003-2012). His research focuses on brainstem control of blood pressure, preclinical drug development, bioethics, and transgenic mouse models. He is a TUBITAK Junior Scientist Award recipient (1998) and serves on national ethics committees for animal experiments and UNESCO bioethics initiatives. Dr. Orer is a member of the American Physiological Society and Turkish Pharmacological Society. His work explores autonomic nervous system pharmacology, serotonin’s role in cardiovascular regulation, and neurophysiological mechanisms underlying sympathetic nerve activity. Key contributions include studies on rostral ventrolateral medulla (RVLM) pathways and cannabinoid receptor effects on baroreflex responses. He also engages in educational initiatives, including doctoral program evaluations and scientific integrity advocacy. Affiliations: UNESCO Bioethics Expert Committee, TUBITAK Health Sciences Advisory Board Key Research Tools: Transgenic mice, pharmacological assays, electrophysiological recordings Notable Collaborations: Michigan State University (visiting scholar roles) Dr. Orer’s publications span 30+ years, analyzing fractal dynamics in neural activity, cannabinoid effects, and serotonin-mediated cardiovascular responses. His recent work emphasizes ethical research supervision and national scientific performance metrics.

Martin SinghView profile

Senior Lecturer

• Atmospheric Dynamics
• Climate Change
• Tropical Circulations
• +4 more

Martin Singh is a Senior Lecturer at the School of Earth, Atmosphere & Environment, Monash University. His research focuses on atmospheric dynamics and climate change, particularly the influence of cloud and precipitation processes on large-scale circulations, including tropical overturning circulations, monsoon systems, and precipitation extremes under global warming. He is a Chief Investigator in major ARC-funded projects like the ARC Centre of Excellence for The Weather of the 21st Century and leads studies on tropical thunderstorms and climate connections in Australian weather patterns. His work contributes to UN Sustainable Development Goals (SDGs) related to climate action and sustainable cities. Key projects include analyzing pan-tropical climate connections, the vertical structure of tropical circulations, and the impact of climate change on Australian monsoons. Martin has been recognized with the 2019 Faculty of Science Award for Excellence in Research (Early Career). He actively supervises PhD and honours students, offering opportunities in tropical atmospheric dynamics. His teaching includes courses on the general circulation of the atmosphere and atmospheric physics. His research outputs span over 37 peer-reviewed articles, with recent studies exploring tropical convective organization, moisture budgets in Australian rainfall, and the thermal structure of the tropical troposphere. Collaborations span international institutions, advancing understanding of climate systems and their future projections.

Potelienė SimonaView profile

Lecturer

• Human Capital
• Economics
• Corporate Performance Analysis
• +3 more

Potelienė Simona is a Lecturer at Vilnius University's Siauliai Academy within the Regional Development Institute. She holds a PhD in Social Sciences (Economics) from a joint doctoral program across multiple Lithuanian universities. Her research focuses on human capital, return on investment in education, and corporate performance effectiveness. She has held leadership roles including Deputy Mayor of Šiauliai City Municipality and Head of Finance & Planning at UAB 'Šiaulių vandenys'. Education: PhD in Social Sciences/Economics (2011–2017) Master of Economics (2001–2003) Bachelor of Economics (1997–2001) Secondary education at Julius Janonis Gymnasium (1985–1997) Research Interests: Quantitative analysis of human capital investments Economic efficiency of corporate performance Education ROI comparisons across nations Public utility pricing strategies Sustainability practices in infrastructure sectors Recent publications emphasize human capital measurement frameworks and cross-country economic comparisons. Her work frequently appears in social science and economics journals like Inžinerinė ekonomika and Socialiniai tyrimai . Awards: 2019: Ministry of Environment Recognition for Research Excellence Advising & Grants: International collaborations: Visiting scholar at University of Tartu (2012) and University of Latvia (2010) Supervised studies on corporate social responsibility in water utilities Active in regional development initiatives through the Regional Development Institute, focusing on sustainable economic practices and policy implementation.

Clara MulderView profile

Professor

• Residential mobility
• Family migration
• Life course
• +3 more

Prof. Clara Mulder is a Professor of Demography at the University of Groningen's Faculty of Spatial Sciences, leading the Department of Demography and the Population Research Centre. She holds notable academic roles including ERC Advanced Grant recipient (FamilyTies project), KNAW Member, and editorial positions in top journals like Environment and Planning A . Her career spans over 20 years with prior professorships at the University of Amsterdam (2001-2011) and Utrecht University (2000-2001). Education: PhD in Demography from University of Amsterdam (1993), thesis: 'Migration dynamics: A life course approach.' Her research focuses on residential mobility, family migration, intergenerational relationships, and housing dynamics. Key projects include analyzing cross-country homeownership patterns and family ties' spatial impacts. Recent work emphasizes ethnic differences in migration timing and post-separation mobility. Awards: ERC Advanced Grant (2017), NWO VICI Grant (2004), Aspasia Grant (2000). She advises graduate programs as former Director of the Graduate School of Spatial Sciences (2014) and chairs academic committees. Active in international demographics through roles like IUSSP Working Group on Lifetime Migration and editorial boards for Housing Studies and European Journal of Population . Research outputs include over 50 peer-reviewed articles, with recent emphasis on family mobility dynamics and intergenerational housing linkages.

• Explainable Artificial Intelligence
• Feature Selection
• Analytic Hierarchy Process
• +3 more

Dr. Majeed Mohammadi is a Visiting Professor at the Faculty of Science, Department of Artificial Intelligence at Vrije Universiteit Amsterdam. He also holds visiting fellow roles at the Network Institute and Artificial Intelligence research groups within the same university. His research focuses on Explainable AI, feature selection, decision analysis, and sustainable urban mobility. Key methodologies include the Analytic Hierarchy Process, Quadratic Programming, and Game Theory applications. His recent work bridges transportation systems and AI through stakeholder engagement frameworks. He has published on causal explanation techniques (CAGE), high-order feature interaction detection, and fallacies in group decision-making processes. Collaborations span international teams addressing interdisciplinary challenges in AI explainability and decision science. His academic contributions include peer-reviewed articles in journals like Group Decision and Negotiation and conferences such as AAAI. Research outputs emphasize both theoretical advancements (e.g., Möbius representation algorithms) and practical applications in urban mobility and feature engineering.

• Organic Chemistry
• Synthesis of Natural Products
• Medicinal Chemistry
• +3 more

Dr Emmanuel A. Bouzas is a Lecturer at the Lab Teaching Staff of the Laboratory of General Chemistry at the Agricultural University of Athens (AUA). His research focuses on Organic Chemistry with emphasis on the Synthesis of Natural Products . He holds a BSc in Chemistry from the University of Patras and a PhD in Organic Synthesis from AUA and the NCSR 'Demokritos'. His teaching responsibilities include laboratory exercises for undergraduate courses such as General & Inorganic Chemistry, Organic Chemistry, Analytical Chemistry, and Natural Products Chemistry. His research output includes 5 peer-reviewed articles, 13 conference presentations, and a laboratory textbook. His work spans natural product synthesis , antibiotic chemistry , and insecticide development , with notable contributions to Abyssomicin C synthesis and naphthoquinone bioactivity studies. No scientific awards or grants are mentioned in the provided materials.

• Multidimensional System Theory
• Multivariable Operator Theory
• Complex Analysis
• +3 more

Joseph A. Ball is a Professor of Mathematics at the Virginia Tech , located in Blacksburg, Virginia. He holds a Ph.D. from the University of Virginia. His research focuses on Multidimensional System Theory , Multivariable Operator Theory , and Complex Analysis , with particular emphasis on scattering systems, conservative linear systems, and operator-theoretic methods in control theory. Ball has contributed extensively to the theoretical foundations of systems governed by multidimensional dynamics, including work on noncommutative systems, invariant subspaces, and robust control. His recent publications explore topics such as Schur-class multipliers, transfer-function realizations, and scattering theory in both classical and noncommutative settings. He serves on the editorial boards of the Journal of Mathematical Analysis and Applications and Integral Equations & Operator Theory , reflecting his leadership in operator theory and related fields. His research trends emphasize the interplay between abstract operator theory and applied systems engineering, particularly in addressing challenges posed by multidimensional and infinite-dimensional systems. Ball’s work often bridges algebraic structures (e.g., Cuntz algebras, matrix polynomials) with analytic techniques (e.g., interpolation, reproducing kernel Hilbert spaces), yielding insights into both fundamental mathematics and practical control methodologies. Ball has advised numerous students and researchers through his teaching and mentorship, though specific advisee names are not listed. His grants and collaborations are integral to advancing the frontiers of operator theory and its applications, though details on specific grants are not provided in the source material. His contributions extend to foundational texts and monographs, such as the Memorial Volume for Constantinescu , where his work on de Branges-Rovnyak spaces and transfer operators has been featured. Ball’s research continues to shape modern approaches to system theory and operator algebras.

Soheil FeiziView profile

Associate Professor

• Machine Learning
• Data Science
• Computer Vision
• +3 more

Summary Soheil Feizi is an Associate Professor in the Department of Computer Science at the University of Maryland, College Park (UMD), affiliated with UMIACS and Electrical and Computer Engineering. He holds a PhD from MIT and completed postdoctoral research at Stanford University. His research focuses on developing reliable AI systems, emphasizing robustness, generalizability, and interpretability in machine learning and generative models. Education & Career PhD and M.Sc. in Electrical Engineering and Computer Science, MIT (2016) B.Sc. in Electrical Engineering, Sharif University of Technology (2008) Postdoctoral Researcher, Stanford University Research & Awards Feizi has published over 100 peer-reviewed papers and received awards including the ONR Young Investigator Award, NSF CAREER Award, and ARO Early Career Program Award. His work addresses adversarial robustness, spurious correlations, and AI reliability. He is currently on leave to co-found RELAI, a startup advancing AI reliability. Awards & Recognition PECASE (2025) Amazon Research Award (2023) ARO Early Career Award (2023) Testified before the U.S. House Bipartisan Task Force on AI (2024) Labs & Collaborations Led the Reliable AI Lab at UMD and collaborated with industry partners (Meta, IBM, Amazon) on projects like the NSF-funded TRAILS Institute.

• Photovoltaics
• Perovskite Solar Cells
• Materials Science
• +3 more

Professor Xia Chen is a distinguished researcher at Fuzhou University's School of Materials Science and Engineering, with significant contributions across multiple disciplines including photovoltaics, materials science, and energy technologies. Her research portfolio demonstrates exceptional breadth while maintaining focus on advanced materials development. Her primary research interests center on photovoltaic materials , particularly perovskite solar cells where she has made notable contributions to device stability and efficiency enhancement. Her work spans materials synthesis , characterization techniques , and device engineering , with particular expertise in surface modification, defect passivation, and doping strategies for energy applications. Additional research areas include ceramic electrolytes for solid oxide fuel cells, corrosion mechanisms in structural materials, and biocatalysis. Professor Chen's research output demonstrates remarkable diversity across scientific domains while maintaining technical depth. Her publications span high-impact journals including Nature, with particular emphasis on materials solutions for renewable energy challenges. The research trends show increasing focus on interdisciplinary approaches that bridge materials science with energy applications, particularly in next-generation photovoltaic technologies. Among her notable achievements are multiple National Natural Science Foundation of China grants and Fujian Province Science and Technology Awards recognizing her contributions to materials innovation. Her collaborative research network spans multiple institutions both domestically and internationally, reflecting the significance of her work in the global scientific community. Current research directions emphasize practical applications of advanced materials for sustainable energy solutions.

• Structural Health Monitoring
• Dynamics of Structures
• Civil and Structural Engineering
• +9 more

Marco Civera is a Fixed-term Assistant Professor at the Department of Structural, Building and Geotechnical Engineering (DISEG), Polytechnic University of Turin, where he also contributes to the Interdepartmental Center SISCON – Safety of Infrastructures and Constructions. He is actively involved in teaching and research, with a strong focus on structural health monitoring, dynamics of structures, and civil infrastructure safety. His research interests include Structural Health Monitoring , Dynamics of Structures , Civil and Structural Engineering , Aerostructures , Critical Infrastructures , and Mechanics of Solids and Structures . He applies advanced techniques such as operational modal analysis, machine learning, and nonlinear modeling to assess structural integrity and performance. The recent publications highlight a strong trend in data-driven structural assessment, including the use of generative adversarial networks, meta-learning, clustering algorithms (e.g., DBSCAN), and Bayesian inference for real-time monitoring and damage detection. His work bridges civil and aerospace engineering, with applications in bridges, aircraft, and underground infrastructures. Scientific Awards: Top 2% most-cited scientist conferred by Stanford University published by Elsevier, Italy (2023) Marco Civera advises several PhD students and contributes to commercial research projects such as ISABHEL - Integrated Satellite and ground-based monitoring for BridgeHealth Lifetime assessment (2024–2026). He has also co-developed two patented medical devices: T_RESAP (Tendon Repair Surgical Applicator) and T–REM3DIE (Tendon Repair Medical Device) . His teaching spans multiple disciplines and includes courses in Structural Collapse and Monitoring, Dynamics of Structures, and Computational Mechanics across Civil, Petroleum, Biomedical, and Architectural Engineering programs. He is a member of research teams focused on Structural and Seismic Monitoring and Structural Engineering , contributing to both academic and industrial advancements in infrastructure safety.

Charles HanifinView profile

Professor

• Evolutionary genetics
• Toxins
• Evolutionary ecology
• +4 more

Charles Hanifin is a Professor in the Department of Biology at Utah State University's Uintah Basin campus in Vernal, Utah, where he teaches undergraduate courses including General Biology, Evolution, Genetics, and Physiology. A USU alumnus (PhD 2005), he maintains active research and teaching roles as evidenced by Fall 2024 course listings. Education: PhD in Biology (Ecology), Utah State University, 2005 BA in Biology, University of Chicago, 1991 Research Focus: Dr. Hanifin investigates evolutionary genetics of toxin resistance , particularly tetrodotoxin (TTX) dynamics in newt-predator arms races. His work integrates molecular biology , field ecology , and computational modeling to examine voltage-gated sodium channel adaptations across diverse taxa including newts, octopuses, and snakes. Recent studies (2022) employ in silico analysis to decode toxin-channel binding mechanisms. Publication Trends: His 15-year publication record (2008-2022) demonstrates consistent focus on TTX resistance evolution, with increasing computational approaches in recent work. Collaborations with Geffeney, Brodie, and Stokes dominate his output, revealing cross-taxon patterns in sodium channel adaptation. Key themes include convergent evolution mechanisms, geographic variation in toxicity, and novel toxin discoveries in terrestrial invertebrates. Awards: Utah State University Uintah Basin Research of the Year (2016) Undergraduate Research and Creative Opportunity Award (2013) Mentorship & Grants: Dr. Hanifin mentors graduate students (e.g., Kristopher Pedersen, 2018) and supervises undergraduate research through BIOL 5800. His 2013 award reflects success in developing Course-Based Undergraduate Research Experiences (CUREs), particularly for students at the Uintah Basin campus. Teaching records show sustained commitment to evolutionary biology education since 2012. Research Context: Based at USU's Vernal campus, his work leverages regional ecosystems for field studies of Taricha newts while collaborating with national experts on molecular analyses. The BEERC facility supports his integrated lab-field investigations of coevolutionary dynamics.