Find Academic Supervisors

• Agricultural Development
• Food Security
• Sustainable Intensification
• +5 more

Jens Andersson is a Researcher at the Plant Production Systems department (PE&RC), focusing on sustainable agricultural practices and food security in smallholder farming systems across Africa. His work emphasizes the application of agronomic technologies, such as mobile-based decision support tools, to enhance productivity and resilience in farming communities. He holds a doctoral degree (dr.) and an engineering degree (ir.) from an unspecified institution, reflecting his academic background in agricultural sciences and engineering. His research interests include agricultural development, food security, sustainable intensification, and the analysis of farming systems. He explores how legume integration and conservation agriculture can address yield gaps and promote equitable resource management. Additionally, he investigates the challenges of scaling digital agronomy solutions and the socio-economic factors influencing technology adoption among smallholder farmers. Jens has not been mentioned to have received any scientific awards or fellowships in the provided texts. His recent publications highlight critical analyses of farm size impacts on economic development, gender dynamics in agricultural investments, and the failure to scale digital agronomy solutions in developing countries. He also examines farmer perceptions of livestock intensification and the historical trajectory of Zimbabwe's agricultural policies. As a co-promotor, Jens has advised multiple PhD candidates, including R. Pawar, H. Nyirahabimana, M. Kilakila, and T. Delaune. He is involved in grants such as the Sustainable intensification of soybean production in Ghana and Tanzania, and the Food Systems Transformation in Southern Africa for One Health (FoSTA-Health) project, where he collaborates as a co-PI. His contributions to projects like Farming Systems Analytics and Conservation Agriculture targeting tools underscore his commitment to bridging research and development practices. Jens is affiliated with the Plant Production Systems group (PE&RC), contributing to interdisciplinary teams researching farming systems analytics and agricultural development strategies. His work integrates socio-economic dimensions with agronomic science, addressing systemic barriers in technology adoption and policy design for marginalized farming communities.

Ruodan ZhangView profile

Assistant Professor

• Nonprofit Management
• Volunteerism
• Diversity in Nonprofits
• +3 more

Ruodan Zhang is an Assistant Professor in the Department of Public Policy at the University of Connecticut. Her research focuses on nonprofit management, volunteerism, and diversity within nonprofit organizations, with a broader agenda exploring citizen participation in public affairs and the roles of public/nonprofit organizations. Key projects include: Public Opinion on Climate Change and Environmental Nonprofit Density : Examines the relationship between climate change public opinion and U.S. environmental nonprofit density (2014–2019). Government Grants and Nonprofits’ Use of Volunteers : Investigates unintended effects of government grants on nonprofits’ volunteer reliance. Nonprofit Identification Methods with Word Embedding : Develops text-as-data workflows to identify nonprofits using IRS Form 990 data (2010–2016). She holds a primary research theme in 'People and the City,' with secondary interests in social-ecological systems. Contact: ruodan.zhang@uconn.edu or https://ruodanzhang.github.io .

Victoria ChiuView profile

Associate Professor

• Accounting Bibliometrics
• Fraud Detection
• Data Analytics
• +4 more

Dr. Victoria Chiu is an Associate Professor of Accounting at the School of Business, SUNY Oswego, specializing in accounting bibliometrics, fraud detection, and data analytics. She joined SUNY Oswego in 2016 after serving as an Assistant Professor at SUNY New Paltz and a doctoral fellow at the AAA/Deloitte Foundation/J.M. Cook Consortium. Dr. Chiu holds a Ph.D. in Accounting from Rutgers University (2013) and a BS from National Changhua University of Education (2008). Her research focuses on applying bibliometric methods to analyze accounting subfields, with a particular emphasis on fraud detection, continuous auditing, and emerging technologies in accounting education and practice. Dr. Chiu has published over 25 peer-reviewed articles in journals like International Journal of Accounting Information Systems, Accounting & Finance, and Journal of Forensic Accounting Research. She has received two Best Faculty Paper Awards from the AAA Strategic and Emerging Technologies Workshop (2017, 2018) and has served on editorial boards for major journals, including the International Journal of Accounting Information Systems and Journal of Emerging Technologies in Accounting. Her teaching spans undergraduate and graduate courses in accounting, including Principles of Accounting and Cost Accounting. She has been recognized for her teaching excellence through multiple Professor Recognition Awards (student-nominated) and actively contributes to curriculum development integrating emerging technologies like process mining and machine learning. Dr. Chiu’s research also emphasizes pedagogical innovation, such as hands-on learning approaches for transaction cycles and adapting AACSB’s Standard A5 into accounting curricula. Professional service includes roles on the AAA Research and Publications Committee (2023–2024) and the Innovation in Accounting Education Awards Committee (2019–2020). Her work bridges academic research and practical applications, particularly in leveraging technology to enhance auditing, fraud detection, and educational outcomes.

Christopher CollinsView profile

Professor

• Information Visualization
• Human-Computer Interaction
• Pen+Touch Interface Design
• +7 more

Dr. Christopher Collins is a Professor of Computer Science at Ontario Tech University, leading the Visualization for Information Analysis Lab (vialab). He holds a PhD from the University of Toronto (2010) and focuses on interdisciplinary research in information visualization, human-computer interaction, and natural language processing. His work addresses challenges in information overload, text analytics, and novel interfaces such as touch, pen, VR/AR. Collins' research has been featured in top-tier venues like ACM CHI and IEEE Transactions on Visualization and Computer Graphics, earning honorable mentions and over $3M in funding as sole PI. He serves on the IEEE VIS Executive Committee and Board of Governors at Ontario Tech University. Education: PhD in Computer Science, University of Toronto (2010) MSc in Computer Science, University of Toronto (2004) BSc (Hons) in Computer Science, Memorial University (2001) Research Interests: Collins' work spans information visualization , pen+touch interfaces , visual analytics , and text-driven systems . He explores how interactive technologies can democratize complex data analysis, particularly in education, healthcare, and creative domains. Recent projects include gaze-driven learning tools, context-aware camera interfaces, and bias-mitigating product review analysis. Awards: ACM CHI Honorable Mention Award IEEE VIS Honorable Mention Award Grants & Impact: Secured $3M+ in research funding. Media coverage includes New York Times and CBS Sunday Morning for innovations in visualization and text analytics. Teaches courses in human-computer interaction, computer graphics, and information visualization. Labs & Collaborations: vialab develops tools like Lexichrome , ConToVi , and NeuroSight . Active in IEEE Visualization and ACM Interactive Media communities. Collaborates with academia and industry globally.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +5 more

Dr. Masoud Makrehchi is an Associate Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. His research focuses on Natural Language Processing, Artificial Intelligence, Machine Learning, and Social Computing, with a strong emphasis on applications in network science and moral AI. He holds a PhD from the University of Waterloo (2007), along with earlier degrees from Shiraz University and Iran University of Science and Technology. Prior to academia, he worked as a Senior Research Scientist at Thomson Reuters (2008–2012) and completed a postdoctoral fellowship at the University of Waterloo (2007–2008). His research expertise includes text mining, social network analysis, and network science, addressing challenges such as signed social network analysis, document classification, and crime trend prediction using social media data. He has received several awards, including the NSERC Postgraduate Scholarship and the SBP Challenge Award (2012). His work spans over 50 peer-reviewed publications in journals like Expert Systems with Applications, Social Network Analysis and Mining, and Web Intelligence, with contributions to conferences such as GECCO and IEEE/ACM. Dr. Makrehchi’s publications highlight innovations in feature selection, text segmentation, and AI-driven frameworks for requirements elicitation. His recent work explores coherence graphs for text segmentation, generative AI in education, and bias detection in medical datasets. He has also contributed to patent applications related to sentiment analysis and text extraction systems.

Min SunView profile

Professor

• Educational Policy
• Teacher Education & Research
• AI/ML in Education
• +8 more

Dr. Min Sun is a Professor in the Department of Educational Policy, Organization and Leadership at the University of Washington's College of Education. Her research focuses on teacher learning, AI/ML integration in education, and policy-driven educational reforms. She leads interdisciplinary teams developing AI tools like the NSF-funded Colleague lesson planning platform and the IES-funded AmplifyGAIN Center. Her work addresses inequities in education through policy analysis and partnerships with K-12 schools and EdTech industries. Dr. Sun holds a Ph.D. in Educational Policy and Measurement from Michigan State University. She teaches courses such as EDLPS 302: Intro to Educational Policy and EDLPS 564: Economics of Education. Her research spans four key areas: AI/ML method development, AI-powered educational tools, data science training programs, and policy research with multi-sector collaborations. Notable grants include a $10 million IES grant for the AmplifyGAIN Center and a $1.5 million NSF grant for AI-driven math lesson planning. Her policy work emphasizes equitable education access and data-driven solutions. She directs the Education Policy Analytics Lab (EPAL) and collaborates with stakeholders to translate research into actionable strategies.

• Contemporary Politics
• Computational Social Sciences
• Political Sociology
• +2 more

Etienne Ollion is an Adjunct Professor at Linköping University's Department of Management and Engineering and a part-time Professor of Sociology at École Polytechnique. He serves as Research Director at CNRS (Centre national de la recherche scientifique) in France and is affiliated with the Computational Social Science Initiative. His research spans contemporary European politics and computational methods in social sciences. Research interests focus on the transformation of political systems, particularly the professionalization of politicians in France, and methodological innovations using machine learning for social science analysis. His work investigates digital data applications, AI ethics, and the augmentation of social research through computational techniques. Publications demonstrate strong trends in computational social science methodologies, with recent articles exploring machine learning applications for cultural analysis, ethical considerations of large language models, and advanced text annotation techniques. Political sociology research examines electoral behavior and institutional changes in European democracies. Ollion has lectured internationally at institutions including UC Berkeley, University of Chicago, and Columbia University. He edited non-thematic issues for Actes de la recherche en sciences sociales and contributes to public discourse through media outlets like Le Monde .

Traci J. HessView profile

Professor

• Human-Computer Interaction
• Decision-Making Systems
• Electronic Commerce
• +3 more

Traci J. Hess is the Douglas & Diana Berthiaume Endowed Professor of Information Systems and Senior Associate Dean at the Isenberg School of Management, University of Massachusetts Amherst. She holds a PhD (1999), MA (1997) in Information Systems from Virginia Tech, and a BS in Accounting from the University of Virginia (1988). Her academic career includes roles at Washington State University and industry experience as Senior Vice President in banking and auditing roles at Ernst & Young. Her research focuses on Human-Computer Interaction , Decision Support Systems , and Trust in Digital Technologies . She explores topics like online review dynamics, privacy mechanisms in health communities, and algorithmic labor platforms. Hess has published extensively in journals like Journal of the Association for Information Systems and MIS Quarterly , and her work bridges cognitive psychology with technology design. Hess has received prestigious awards including the Isenberg Outstanding Research Award (2012) and Transactions on Human-Computer Interaction Best Paper Award (2011). Her teaching spans Business Intelligence , Database Management , and Research Methods . She has advised numerous graduate students (not listed explicitly in texts) and contributes to digital strategy research. Her recent work (2023–2024) examines reviewer badges’ impact on consumer trust and human agency in algorithmic labor systems. She emphasizes user-centric design principles to mitigate negative emotional responses to technology (e.g., technostress).

Gabriella R. MontinolaView profile

Professor

• Foreign Aid
• Governance and Development
• Political Economy
• +6 more

Gabriella R. Montinola is a Professor in the Department of Political Science at the University of California, Davis. She has been affiliated with the department since 1997 and focuses on research areas including foreign aid, governance, and the political economy of development. Education: Ph.D. in Political Science from Stanford University Bachelor’s degree from Emory University Research Interests: Her work examines the impact of foreign aid and remittances on governance, development, and political participation. Key areas include corruption, the rule of law, and the political dynamics in the Philippines. She has contributed to studies on gendered aid, climate change policy, and the effects of foreign aid on public goods provision. Publications: Her recent research includes studies on public support for country ownership in aid, foreign pressure on public opinion, and the role of health aid in women’s empowerment. These studies highlight the intersection of international aid, governance, and socio-economic outcomes. Awards: No specific scientific awards mentioned in the provided text. Advising and Grants: While no specific student advisees or grant details are listed, her research has been supported by organizations such as Freedom House, the World Bank, and USAID through commissioned projects and grants. Labs/Teams: No specific laboratory or team affiliations mentioned.

Sara WitmerView profile

Associate Professor

• School Psychology
• Assessment Practices
• Educational Equity
• +3 more

Sara Witmer is an Associate Professor of School Psychology at Michigan State University (MSU), holding a Ph.D. from the University of Minnesota and National Certified School Psychologist (NCSP) certification. She is affiliated with the College of Education’s Department of Counseling, Educational Psychology & Special Education (CEPSE). Her roles include Principal Investigator for Project ETUDE (funded by the Institute of Educational Sciences) and Project Director for Project Hi2LD (funded by the U.S. Office of Special Education and Rehabilitative Services), which focus on improving assessment practices and reducing graduate study costs for school psychology and special education students. Education: Dr. Witmer earned a Ph.D. in School Psychology from the University of Minnesota. She also holds an NCSP credential, reflecting her specialization in school-based psychological services. Research Interests: Her work centers on enhancing instructional decision-making through equitable assessment practices, particularly for at-risk students, students with disabilities, and English language learners. Key themes include validity and fairness in testing, accommodation use, and the integration of accessibility tools into large-scale accountability systems. She employs empirical and mixed-methods approaches to address disparities in educational measurement. Projects & Grants: Leading Project ETUDE (IES-funded) and Project Hi2LD (OSE-funded), she investigates testing accommodations’ effectiveness and develops interdisciplinary training programs. These initiatives aim to improve outcomes for K-12 students and reduce barriers to graduate education. Labs/Teams: While no specific lab is mentioned, her research aligns closely with MSU’s CEPSE department and interdisciplinary efforts within the College of Education, such as the CREATE for STEM Institute. She collaborates with national and international agencies to advance inclusive assessment policies.

Timothy HanniganView profile

Associate Professor

• Blockchain
• Entrepreneurial Ecosystems
• Field and Market Emergence
• +7 more

Timothy Hannigan is an Associate Professor and the Father Edgar Thivierge Chair in Canadian Business at the University of Ottawa’s Telfer School of Management. He holds a B.A. (Hon.) from Queen’s University, an M.Sc. from the London School of Economics and Political Science (LSE), and a Ph.D. from the University of Oxford. Research interests: His work focuses on the early stages of markets, fields, and ecosystems, examining their cultural and material development. Key areas include blockchain governance, generative AI ethics, institutional theory, organizational theory, and topic modeling. He explores how organizations navigate uncertainty through “provisional knowledge” and studies epistemic risks in AI adoption. Publications and grants: His research appears in top journals like Academy of Management Review and Strategic Management Journal . He leads an SSHRC Insight Grant (2022–2026) on blockchain entrepreneurship and received the Xerox Canada Faculty Fellowship (2022). Scientific Awards: Xerox Canada Faculty Fellowship Teaching: He teaches entrepreneurship, interpretive data science, and technology/innovation strategy. His methodological expertise includes text analysis and topic modeling.

H. David JeongView profile

Professor

• Construction Management
• Artificial Intelligence in Civil Engineering
• Data Analytics for Infrastructure
• +5 more

H. David Jeong is the Associate Department Head and Professor in the Department of Construction Science at Texas A&M University's College of Architecture. His work focuses on advancing construction management through data analytics, artificial intelligence, and innovative technologies. Key areas of research include risk analysis, cost estimation, transportation infrastructure optimization, and collaboration strategies in project delivery. He leads initiatives such as the Serious Games and Simulations for the Built Environment (SeGSiBE) and contributes to the Data Analytics and Artificial Intelligence for Construction Management program. Jeong’s research integrates machine learning, NLP, and GIS technologies to address challenges in construction scheduling, asset management, and project performance evaluation. His projects emphasize practical applications, such as developing predictive models for gravel loss, contingency estimation frameworks, and chatbot-driven workflow tools. He has published extensively on topics like highway construction contract times, AI-based project prioritization, and lifecycle data management in transportation assets. Education : While specific academic credentials are not detailed, his roles imply advanced training in construction engineering and management. Labs/Teams : Leads SeGSiBE lab and collaborates on the HCCI (Highway Construction Cost Index) tool development. Grants/Advising : No student advisees listed, but his research projects likely involve graduate students and industry partnerships.

• Geotechnical Engineering
• Soil Mechanics
• Earthquake Engineering
• +3 more

Prof. Alper SEZER is a faculty member at Ege University's Department of Civil Engineering (Faculty of Engineering), specializing in Geotechnics. His research focuses on geotechnical engineering, earthquake effects, soil mechanics, and sustainable development. He has conducted extensive studies on soil liquefaction, seismic site effects, and post-earthquake damage assessments in regions like Antakya, Izmir, and Adıyaman. His work integrates computational methods (e.g., genetic algorithms, artificial neural networks) with experimental geotechnics to improve soil characterization and disaster resilience. He has collaborated on projects analyzing valley effects, ground motion amplification, and the mechanical behavior of soils under cyclic loading. Education: Details not explicitly provided in text, inferred through academic publications and position. Research interests include geotechnical hazard mitigation, soil stabilization techniques (e.g., polymer-modified soils), and the application of fractal analysis to soil properties. His studies address practical challenges such as sulfate resistance in cement-stabilized soils and freeze-thaw resistance of fiber-reinforced materials. He has contributed to microzonation studies and seismic risk assessments in urban areas like Izmir Bay. Publications emphasize field reconnaissance findings from major earthquakes (e.g., 2020 Samos, 2023 Türkiye earthquakes) and laboratory experiments on soil behavior under dynamic loading. Awards and recognitions are not explicitly listed in the text. Grant activities and advising details are not provided, but his extensive publication record suggests sustained research funding. He is affiliated with geotechnical laboratories at Ege University, focusing on experimental testing and computational modeling in geotechnical engineering.

• Environmental Epidemiology
• Chronic Disease Epidemiology
• Public Health
• +3 more

Christine Parks, Ph.D., M.S.P.H., is a Staff Scientist in the Epidemiology Branch at the National Institute of Environmental Health Sciences (NIEHS), part of the National Institutes of Health (NIH). Her work focuses on understanding the environmental determinants of chronic diseases, with a particular emphasis on how exposures to chemical and social stressors influence health outcomes. She holds a Ph.D. and a Master of Science in Public Health, reflecting her expertise in both epidemiological methods and public health research. Her research interests include environmental epidemiology, chronic disease prevention, and the application of advanced statistical techniques to study population health. She contributes to collaborative projects within the Epidemiology Branch, addressing topics such as air pollution, chemical mixtures, and occupational hazards. Her role involves designing studies, analyzing data, and translating findings into actionable public health strategies. No specific scientific awards or grants are explicitly mentioned in the provided text, though her affiliation with the NIEHS suggests involvement in high-impact environmental health research. Her work is part of broader initiatives to understand how environmental factors interact with genetic and social determinants to shape human health.

Alex MesoudiView profile

Professor

• Cultural Evolution
• Social Learning Experiments
• Agent-Based Modeling
• +3 more

Professor Alex Mesoudi is a leading academic in cultural evolution, serving as the Professor of Cultural Evolution at the University of Exeter’s Penryn Campus in Cornwall, UK. He is also the President of the Cultural Evolution Society. His work bridges evolutionary theory with social sciences, focusing on how cultural traits evolve through psychological and social processes. Key research areas include experimental studies of social learning, agent-based modeling of cultural dynamics, and analysis of large-scale cultural datasets (e.g., pop music, football tactics). Mesoudi’s lab investigates migration’s impact on cultural diversity and employs interdisciplinary methods to explore cultural change. Research Interests: Human cultural evolution mechanisms Experimental transmission chains and technological innovation Agent-based models of cultural transmission Cross-cultural variation in learning strategies Big data analysis of cultural trends Lab and Collaborations: Mesoudi leads a vibrant research group with current PhD students Andoni Sergiou and Ishaan Sinha. Former students include Dugald Foster, Angel V. Jimenez, and Alice Williams. His lab has hosted visiting scholars from institutions worldwide, including Télécom Paris and the Federal Rural University of Pernambuco. He collaborates with global researchers on topics like cultural group selection and migration’s psychological impacts. Publications and Media: Mesoudi has authored influential books such as Cultural Evolution: How Darwinian Theory Can Explain Human Culture and contributed to high-impact journals like PNAS and Proceedings of the Royal Society B . He frequently engages in media discussions about cultural evolution through podcasts and documentaries, emphasizing the societal relevance of his work.