Find Academic Supervisors

• UX Research
• Usability Testing
• Digital Product Design
• +3 more

Ivanov Vyacheslav Dmitrievich serves as a Senior Lecturer at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Computer Science and the Department of Software Engineering. He joined HSE in 2021 and has accumulated 4 years of scientific and teaching experience. His academic background includes a degree in Psychology from the Russian State Humanitarian University (2011). Education 2011: Russian State Humanitarian University, specialty "Psychology", qualification "Psychology Teacher" Research Interests Ivanov specializes in user experience research with particular focus on exploratory methods for early evaluation of digital product ideas. His work emphasizes qualitative data analysis in UX research, helping to identify usability problems before products reach the market. He combines his psychology background with computer science to develop methodologies that bridge user needs with technical implementation. His research contributes to the field of human-computer interaction by creating practical frameworks for evaluating digital products in their conceptual stages. Publications His scholarly output centers around usability testing and early-stage product evaluation. His 2016 publication "Defining usability problems" presented at the CHI Conference demonstrates his focus on practical applications of UX research in software development contexts. His work shows consistent interest in identifying methodological approaches for evaluating digital products before full development. Scientific Awards Best Teacher - 2023-2024 Teaching and Academic Activities Ivanov teaches multiple courses including UX Design, User Research, Interaction Design and Prototyping, and Launch of a Digital Product. He actively participates in departmental activities, as evidenced by his involvement in the December 2023 visiting scientific seminar "Software engineering: young specialists," which focused on research work of young teachers and practical training of students. His teaching approach integrates industry experience with academic rigor, providing students with practical skills for digital product development. Professional Background Prior to joining HSE, Ivanov worked as a usability specialist at Usabilitylab (2011-2016) and as a user research consultant at Wolters Kluwer (2018-2020), bringing substantial industry experience to his academic role. This professional background informs his practical teaching methodology and research focus on real-world application of UX principles.

• Obsessive-Compulsive Disorder
• Family Accommodation
• Cancer Epidemiology
• +4 more

Lisa Calvocoressi is a Research Scientist and Lecturer in the Department of Biostatistics at the Yale School of Public Health. Her work spans multiple disciplines including biostatistics, epidemiology, and psychological research, with a particular focus on obsessive-compulsive disorder and cancer epidemiology. She is actively involved in research, teaching, and program development at Yale. Dr. Calvocoressi earned her PhD from Yale University School of Medicine in 2003. Her academic journey has positioned her as a leading researcher in family accommodation in obsessive-compulsive disorder and cancer epidemiology. Dr. Calvocoressi's research primarily focuses on two major areas: family accommodation in obsessive-compulsive disorder and cancer epidemiology. In the field of OCD, she was the first researcher to measure family accommodation, developing the Family Accommodation Scales which have been translated into multiple languages and are used worldwide. Her cancer epidemiology work examines genetic and environmental factors in meningioma development, prostate cancer severity, and mammography screening in diverse populations. She is currently collaborating on an FDA-funded project to promote clinical trial participation among racial and ethnic minorities. Her publication record demonstrates expertise in statistical methodology, psychometrics, and epidemiological research. The articles show a consistent focus on measurement development, particularly for OCD-related constructs, and genetic epidemiology of brain tumors. She has made significant contributions to factor analysis methodology and has published extensively on meningioma risk factors. Dr. Calvocoressi co-teaches the graduate biostatistics capstone course 'Statistical Practice' and directs the Young Scholars Program and Internship in Biostatistics and Clinical Research for gifted high school students. Her research is supported by various funding sources including FDA grants for her work on clinical trial participation among minorities. Dr. Calvocoressi leads the Family Accommodation in Obsessive-Compulsive Disorder research group, which is dedicated to understanding and treating family accommodation in OCD. The Collaboratory includes researchers and clinicians who have developed the Family Accommodation Scales and effective family treatments for OCD and related disorders.

• Science Education
• Aesthetic Education
• Primary Education
• +3 more

Aase Marit T. Sørum Ramton is a Research Fellow at the Faculty of Education and International Studies , Department of Primary and Secondary Teacher Education, Oslo Metropolitan University. Her work focuses on integrating aesthetic learning processes and digital flipped classroom methodologies in primary education, particularly in science and interdisciplinary teaching. Research Areas: Science education with emphasis on flipped classroom designs Aesthetic learning processes in adapted teaching Interdisciplinary integration (e.g., math in science, astronomy in primary education) Conceptual development and multimodal representations Key Publications highlight her work on active learning strategies, teacher training, and curriculum innovation. Her projects, such as Flipped classroom in science education (FiNa) , aim to enhance student engagement through digital and creative methods. Her recent articles (2024–2018) span topics from aesthetic pedagogy to science-math integration, reflecting a consistent focus on primary-level education.

Justin KenneyView profile

Assistant Professor

• Neuroscience
• Zebrafish
• Fear memory
• +3 more

Dr. Justin Kenney is an Assistant Professor in the Department of Biological Sciences at Wayne State University . He conducts cutting-edge research using zebrafish and mice to investigate fear memory mechanisms , whole-brain imaging , and neural network analysis . His lab website ( kenneylab.com ) and Twitter account ( @Fish4Brains ) reflect his commitment to modern neuroscience methodologies. PhD in Psychology/Neuroscience (2010) from Temple University BS in Physics and BA in Philosophy from Case Western Reserve University (2003) Dr. Kenney's research focuses on individual behavioral differences , neural network dynamics , and advanced imaging techniques like light-sheet microscopy . His work establishes zebrafish as a powerful model for studying fear-related behaviors and brain-wide functional networks . Recent publications demonstrate his leadership in creating 3D zebrafish brain atlases and investigating chemogenetic effects on memory consolidation. Dr. Kenney teaches Molecular and Cellular Neurobiology (BIO4690/BIO6490) and Research Practice courses (BIO4990/BIO6890). His Human Frontiers Science Program fellowship supports his innovative work, which has been featured in university spotlights examining minnow brain function to understand human cognition. His network-based approach combines graph theoretical analysis with in vivo validation to identify memory consolidation hubs . This methodology has revealed critical roles for hippocampal-thalamic circuits and lateral septal nuclei in contextual fear memory, advancing both theoretical understanding and experimental validation of brain networks.

• RNA therapeutics
• Artificial Intelligence
• probabilistic model
• +10 more

Michiaki Hamada is a Professor at Waseda University's Faculty of Science and Engineering, School of Advanced Science and Engineering. He also serves as President of the Japanese Society for Bioinformatics (since April 2024) and holds visiting positions at the National Institute of Advanced Industrial Science and Technology and Nippon Medical School's Graduate School of Medicine. His research laboratory focuses on bioinformatics with particular emphasis on functional RNA, epigenetics, and RNA drug discovery. Ph.D. in Science from Tokyo Institute of Technology (2009) Master's in Mathematics from Tohoku University (2002) Bachelor's in Mathematics from Tohoku University (2000) Professor Hamada's research spans multiple areas of bioinformatics, with particular focus on RNA biology, machine learning applications in sequence analysis, and computational approaches to drug discovery. His work bridges computational methodologies with biological applications, developing tools for RNA structure prediction, aptamer design, and genome analysis. His laboratory has made significant contributions to understanding RNA-protein interactions, transposable element biology, and the application of deep learning to RNA engineering problems. His recent publications demonstrate a strong focus on applying machine learning and deep learning techniques to RNA-related problems, including RNA aptamer generation, RNA structure prediction, and RNA therapeutic development. His research group has developed several computational tools like RaptGen for aptamer design, DeepRaccess for RNA accessibility prediction, and REPrise for repeat detection. His work shows a consistent pattern of developing computational methods with direct biological applications, particularly in the areas of RNA therapeutics and genome analysis. Okuma Memorial Academic Award (Encouragement Award) 2024.11 Waseda University Teaching Award 2023.07 Waseda University Next Generation Core Researchers 2022 Waseda University Research Award for International Research Dissemination 2021.12 MEXT Young Scientists' Award 2017.04 National Institute of Advanced Industrial Science and Technology President's Award (Research) 2016.04 As Principal Investigator, Professor Hamada has led numerous competitive research projects including multiple KAKENHI grants (Young Researcher, Challenging Exploratory Research, New Academic Fields), CREST programs, and industry collaborations. He actively contributes to the bioinformatics community through leadership roles, including serving as President of the Japanese Society for Bioinformatics and organizing joint symposia between Waseda University and Nippon Medical School. His laboratory maintains strong collaborations with both computational and experimental groups, facilitating the translation of computational methods into biological applications. Professor Hamada leads the Hamada Laboratory (hamadalab.com), which focuses on developing computational tools for RNA analysis and design. His group maintains active collaborations with researchers at Nippon Medical School, AIST, and other institutions, creating a strong interdisciplinary research environment. The laboratory has developed several widely-used bioinformatics tools and maintains an active publication record in high-impact journals across computational biology, genomics, and RNA research fields.

Lutz FehrmannView profile

Researcher

• Forest Inventory
• Remote Sensing
• Biomass Estimation
• +5 more

Lutz Fehrmann is a researcher and academic specializing in forest inventory and remote sensing. Since 2011, he has served as Managing Director of ForestEye Research GmbH & Co.KG while maintaining academic ties through research and teaching. From 2008, he worked as a Postdoc at the Department of Forest Inventory and Remote Sensing at the University of Göttingen, coordinating multiple research projects including EU Pathfinder, DFG projects on biomass estimation, and international collaborations in Indonesia, China, and Africa. Dr. Fehrmann completed his dissertation in 2007 at the Faculty of Forest Ecology at Georg-August-Universität Göttingen titled Alternative Methoden zur Biomasseschätzung auf Einzelbaumebene unter spezieller Berücksichtigung der k-Nearest Neighbour (k-NN) Methode . His academic foundation includes extensive work in forest biometry, inventory systems, and biomass estimation methodologies. Dr. Fehrmann's research focuses on advancing forest inventory through innovative methodologies. His work centers on terrestrial laser scanning applications for forest structure analysis, development of biomass estimation models, and creation of monitoring frameworks for environmental protection. He has pioneered work in using discrete global sampling grids for land cover monitoring and has contributed significantly to understanding tree architecture and biomass distribution through advanced scanning technologies. His research bridges traditional forest inventory with cutting-edge remote sensing techniques to improve carbon accounting and sustainable forest management. An analysis of Dr. Fehrmann's recent publications reveals a strong emphasis on applying advanced technologies to forest inventory challenges. His work increasingly integrates terrestrial laser scanning with traditional inventory methods to create more accurate biomass estimation models. There's a clear progression from basic biomass modeling to sophisticated 3D forest structure analysis, with growing attention to carbon sequestration and climate change mitigation. His research spans multiple continents, demonstrating both methodological innovation and practical application in diverse forest ecosystems worldwide. Dr. Fehrmann has supervised graduate students through PhD colloquia and master's level research projects focused on forest inventory and growth. His grant portfolio includes significant funding from the German Research Foundation (DFG), European Union, FAO, and KfW, supporting projects across Indonesia, China, Africa, and Europe. These grants have enabled the development of integrated forest carbon monitoring systems, biodiversity exploratories, and international capacity building in forest inventory methodologies. Through ForestEye Research GmbH & Co.KG, Dr. Fehrmann leads a team focused on applying advanced technologies to forest monitoring challenges. His work with the AWF-Wiki demonstrates commitment to knowledge sharing in forest inventory methods. The integration of business intelligence tools with traditional forest inventory represents an innovative approach to making inventory data more accessible and actionable for forest management decisions.

Macarena Donoso GonzálezView profile

Professor

• Civic Education
• Social Pedagogy
• Digital Education
• +4 more

Macarena Donoso González is a Permanent Professor at UNED's Department of Theory of Education and Social Pedagogy and currently serves as Vice-Dean of Teaching, Innovation and Students at the Faculty of Education. Previously at Universidad Antonio de Nebrija (2017-2022), she directed Master's programs in Psychopedagogy and Teacher Training while coordinating thesis supervision. Her research centers on Civic Education, Social Pedagogy, and Digital Education through the Research Group on Civic Culture and Educational Policies. Key focus areas include educational theory/history, civic/social/labor education, digital-era pedagogy, childhood values, and educational policy analysis. Recent work examines pandemic mental health impacts, sustainable development goals, and entrepreneurial identity formation using interdisciplinary approaches. Professor Donoso González maintains an active publication record in high-impact journals, with recent articles addressing youth mental health during confinement, sustainable development in education, and teacher engagement. Her work shows strong methodological diversity including narrative reviews, empirical studies, and systematic literature analyses. Her scientific recognition includes: Extraordinary Doctoral Award, University of Sevilla (2019) Teaching Excellence Mention, Universidad Antonio de Nebrija (2020) Research Excellence Mention, Universidad Antonio de Nebrija (2022) She secures significant research funding from Spanish ministries and Comunidad de Madrid, currently participating in projects on cyberbullying prevention, civic competencies for elderly populations, and entrepreneurial education. Her supervision emphasizes service-learning methodologies and practical application, particularly in teacher training contexts. She leads the Research Group on Civic Culture and Educational Policies, fostering national and international collaborations focused on educational theory, policy analysis, and innovative pedagogical approaches for social inclusion.

Adam PererView profile

Assistant Professor

• Data Visualization
• Human-Computer Interaction
• Machine Learning
• +3 more

Adam Perer is an Assistant Professor at Carnegie Mellon University within the Human-Computer Interaction Institute . His research focuses on data visualization , machine learning , and human-AI collaboration systems, particularly in healthcare contexts. Co-directs the Data Interaction Group Area Papers Chair at IEEE VIS PhD in Computer Science from University of Maryland Former Research Scientist at IBM Research His work integrates visual analytics with machine learning to create interactive systems for clinical data analysis , AI interpretability , and exploratory data science . Recent publications demonstrate applications in epidemiology , ICU medicine , and child welfare decision-making . Key research themes: Designing collaborative AI interfaces Visualizing embedding spaces for ML Interactive clinical decision support tools Explainable AI systems evaluation Temporal data exploration techniques Awards include Best Paper Honorable Mentions at CHI and EuroVis, plus Most Reproducible Paper recognition. He advises multiple PhD candidates and teaches courses in Data Visualization and Interactive Data Science .

• Statistics
• Operations Research
• Data Science
• +3 more

Juan Carlos Gonçalves Dos Santos is an Assistant Professor at the Miguel Hernandez University of Elche, affiliated with the Department of Statistics, Mathematics and Informatics. As a part-time lecturer, he actively contributes to teaching and research in statistical methods, operations research, and data science. His academic work intersects disciplines such as probability theory, logistics, and optimization, reflecting his involvement with the Center of Operations Research (CIO). His teaching portfolio spans undergraduate and postgraduate programs, including courses in Exploratory Data Analysis Statistics and Optimization Logistics Mathematical Programming Scientific Methodology Calculation of Probabilities for degrees in Business Administration, Data Science, Electronic Engineering, and Computational Statistics. Contact details: Email: jgoncalves@umh.es Department email: dpto.estadistica@umh.es Institute CIO email: ciO@umh.es

• Museums
• Heritage
• Decoloniality
• +5 more

Charlotte Engman is a Postdoctoral Fellow (currently on leave) in the Department of Culture and Media Studies at Umeå University, Sweden. Her interdisciplinary work bridges Ethnology and Museology, critically examining museums as democratic arenas through the lenses of heritage politics, colonialism, and decolonial practices. She actively contributes to teaching ethnographic methods and museum education across academic programs. Education: Doctor in Ethnology Postdoctoral studies in Museology Dr. Engman's research centers on two major strands: first, analyzing museum educators' encounters with hate, threats, and violence from visitors to understand tensions between museums' democratic ideals and contemporary societal conflicts; second, re-examining Swedish colonial history through travelers' archives from the Congo Free State (1880-1910), exploring relations between Swedes and local inhabitants while innovating with fiction and art as scientific interpretation tools. Her work consistently interrogates power dynamics in heritage representation and museum pedagogy. Her publications reveal strong thematic cohesion around decolonial museum practices, critical heritage studies, and ethnographic methodology. Recent works address conflicts over Swedish heritage narratives, museal logics shaping audience encounters, and postcolonial analytical frameworks. The scholarship demonstrates increasing engagement with real-world museum challenges while advancing theoretical contributions to democratizing cultural institutions. No scientific awards or fellowships were documented in the provided materials. Dr. Engman provides academic supervision within her teaching roles and leads research projects on museum education and hate, alongside colonial archive reinterpretation initiatives. She collaborates extensively with Swedish museums—particularly the Museum of Ethnography—to investigate democratic ideals in practice and develop new approaches for handling contentious visitor interactions. Her grant-funded work emphasizes practical applications for museum professionals navigating contemporary societal divisions. She is embedded in Umeå University's Department of Culture and Media Studies while maintaining active partnerships with museum educators nationwide. Her current projects involve interdisciplinary teams combining ethnology, museology, and creative arts to develop alternative historical interpretations, particularly through artistic interventions in colonial archive research.

• Early Childhood Education
• Science Education
• Sustainable Development Education
• +3 more

Guri Langholm serves as an Associate Professor at the Norwegian Centre for Science Education, University of Oslo, and as a Senior Lecturer at OsloMet's Kindergarten teacher training program. Her academic work focuses on integrating science education into early childhood settings with special emphasis on sustainable development approaches. Her research interests center on exploratory working methods in kindergarten and sustainable development education for young children. Langholm advocates for inquiry-based science approaches that connect children with natural phenomena through hands-on experiences. Her work examines how to effectively incorporate environmental awareness and sustainability concepts into early childhood curricula across Nordic countries. Langholm's publications demonstrate a consistent focus on science education in early childhood settings, with particular attention to sustainable development frameworks. Her recent work analyzes Nordic national curricula for early childhood education, examining how sustainability concepts are integrated across different educational systems. Her professional background includes directorship at Fetsund Lenser Museum and Science Information Center, where she developed museum-based educational programs. She has conducted workshops on museum visitor evaluation and learning at UiO, bridging formal and informal educational settings. Langholm's educational background includes a Master of Science in Zoology from the University of Oslo and additional studies in pedagogy for assistant professors at Oslo University College. She has also participated in Nordic courses in parasitology, demonstrating her interdisciplinary approach to science education.

Julie SchollerView profile

Associate Professor

• Statistics
• Data Analysis
• Data Mining
• +7 more

Julie Scholler serves as an Associate Professor of Mathematics at the University of Tours, working within the Economic Sciences Section of the UFR of Law, Economics and Social Sciences. She holds the position of Head of the first year of the MÉcEn (Master's in Business Economist) program and has been actively teaching since at least 2013 across various levels of the economics curriculum. Her research interests focus on advanced statistical methodologies and data science applications, particularly in exploratory data analysis, factor analysis, unsupervised classification, and machine learning techniques. She specializes in applying these methods using R programming, with expertise in RMarkdown, RShiny, and data visualization techniques. Her work spans from fundamental statistical theory to practical Big Data solutions with R optimization. Analysis of her recent publications reveals a strong emphasis on classification methods, particularly boosting algorithms, random forests, and ensemble methods. Her work demonstrates expertise in prediction error estimation, with applications across various domains including economics, social sciences, and business analytics. She maintains a consistent focus on practical implementation of statistical methods using R, with particular attention to reproducible research practices through RMarkdown. Professor Scholler has developed extensive teaching materials covering statistics, data analysis, and R programming across multiple academic levels. Her courses include Descriptive Statistics, Inferential Statistics, Bayesian Statistics, Dynamical Systems, and specialized topics in Data Mining and Big Data. She appears to be actively involved in student projects and practical applications of statistical methods, as evidenced by student-produced dashboards on topics ranging from world happiness to Covid vaccination data.

Melanie MisamerView profile

Professor

• Power Sensitivity in Social Work
• Social Work in Health Promotion
• Healthcare Social Work
• +3 more

Melanie Misamer serves as Professor for Methods and Concepts of Social Work in Health Promotion at the Faculty of Engineering and Health, HAWK University of Applied Sciences and Arts (Göttingen Health Campus). Her academic foundation includes a doctorate in Educational Psychology from Technical University of Braunschweig (2012-2018) and Social Work studies at University of Vechta (2006-2011). Her research centers on power sensitivity in social work, developing theoretical frameworks and practical applications through multidimensional power concepts. Key contributions include creating measurement tools for power sensitivity, analyzing power dynamics in healthcare settings, and establishing evidence-based practices for professional conduct. Her work bridges social work theory with healthcare applications, focusing on ethical decision-making and reflective practice. Recent publications reveal strong trends toward quantifying power sensitivity through large-scale studies (n=403 students, n=324 professionals) while developing practical screening tools. Her research spans healthcare social work, interprofessional cooperation, and power dynamics in educational contexts, with increasing emphasis on evidence-based methods and textbook development for professional training. Misamer teaches across multiple programs including Master's in Health and Innovation in Social Work (MA GISA) and Bachelor's in Social Work in Healthcare (BA SAG), covering courses on power-sensitive leadership, social space design, and clinical psychology. Her professional activities include textbook authorship with Kohlhammer Verlag and conducting qualitative interviews with practitioners on power sensitivity implementation.

Yuliya YurovaView profile

Professor

• Decision Sciences
• Business Analytics
• Human Resource Analytics
• +5 more

Professor Yuliya Yurova serves as Professor of Research Methods and Decision Sciences at Nova Southeastern University's H. Wayne Huizenga College of Business & Entrepreneurship. She teaches graduate courses including QNT 5160 Analytical Modeling for Decision Making and QNT 5485 Data Mining and Predictive Analytics Fundamentals, leveraging her expertise in quantitative methodologies to prepare students for data-driven business environments. Her educational background includes a Ph.D. in Business Administration/Statistics from University of Illinois-Chicago, an M.S. in Computer Information Systems from Eastern Michigan University, and a B.A. in Mathematical Economics from Novosibirsky State University. This interdisciplinary foundation supports her integrative research approach spanning business analytics, marketing, and organizational behavior. Professor Yurova's research examines critical intersections of technology and human behavior in business contexts. She investigates how HR professionals adopt analytics, how mobile devices reshape retail experiences, and how organizational justice affects employee satisfaction - often through cross-cultural comparisons between US and Russian business environments. Her work consistently addresses practical challenges while employing rigorous quantitative methods. Her publication record demonstrates sustained scholarly impact with recent articles in journals including International Journal of Information Systems and Supply Chain Management (2022), Management Decision (2021), and Journal of Marketing Education (2021). Her research trajectory shows increasing focus on pandemic-era business adaptations and ambidextrous organizational learning. Best Paper in Track, Southwest Academy of Management 2017 Consistent publication in top-tier business journals since 2006 Research cited for practical HR analytics implementation frameworks Methodologically rigorous quantitative studies with real-world applications Professor Yurova actively bridges academic research and industry practice through studies of actual job market requirements, corporate technology adoption barriers, and retail consumer behavior. Her international collaborations, particularly with Russian institutions, provide unique comparative perspectives on business practices across different institutional environments. Students benefit from her practitioner-relevant research through coursework emphasizing analytical modeling and data mining applications.

Onur KeskinView profile

Lecturer

• Adventure Therapy
• Social Work with Young People
• Child Care
• +4 more

Dr. Onur Keskin is a Lecturer at Bingöl University's School of Health Services, Department of Child Care and Youth Services. He has been working at Bingöl University since 2017 and holds a doctorate in Social Work from Ankara University. His academic journey includes: Bachelor's degree in Sociology from Dumlupınar University (2004-2008) Master's degree in Social Work from Kiev Politechnic Institute, National Technical University of Ukraine (2011-2013) Doctorate in Social Work from Ankara University (2018-2024) Dr. Keskin's research primarily focuses on adventure therapy and outdoor activities in social work with young people. He explores how nature-based interventions can be effectively integrated into therapeutic practices and social work methodologies. His work bridges academic research with practical community applications, particularly in child and youth welfare. Recent publications demonstrate his commitment to advancing innovative approaches in social work, including the integration of adventure therapy into social work practices with young people in Turkey. His notable awards include the Cesaret ve Feragat Nişanı (Courage and Sacrifice Medal) from the Turkish Scouting Federation, recognizing his contributions to scouting activities and youth development. Dr. Keskin actively contributes to both national and international academic networks, aiming to promote knowledge production and community engagement through research and collaboration. With fluency in Russian and English in addition to Turkish, Dr. Keskin has a strong international perspective that informs his teaching and research. His teaching portfolio spans sociology, social work theory and methods, child development, and practical applications in community settings, reflecting his holistic approach to social work education.