Professor Ann Elisabeth Gunnulfsen works at the Department of Teacher Education and School Research (ILS) , University of Oslo. She focuses on educational leadership , school governance , and curriculum reform through projects like ChangeLead and RE-FORMED . Education: PhD in school governance (2018), University of Oslo Master of Philosophy in Educational Leadership (2010), UiO Research Focus: Policy enactment in schools National testing and accountability Curriculum implementation International comparative studies (e.g., ISSPP ) Her publications (15 recent) analyze leadership responses to reforms like Fagfornyelsen , emphasizing tensions between internal accountability and external policy demands. She co-edited books on reading strategies and school leaders as legal interpreters . Collaborations: Part of the CLEG research group , she leads projects like VIST (video assessment) and contributes to DIVA (digital integration). Guest researcher at UC Berkeley (2015-2016).
Maurizio MUZZUPAPPA is a Full Professor at the Department of Mechanical, Energy and Management Engineering (University of Calabria) since 2018. His roles include Rector's Delegate for Technology Transfer, Academic Delegate for Education at DIMEG, and Head of the Physical Prototyping Laboratory at the MaTeRiA Center (UNICAL-CNISM collaboration). He supervises the Unical Racing Team in Formula SAE competitions and co-founded three university spin-offs: 3DResearch, Tech4Sea, and Q-BOT. As Scientific Director of projects like TECH4YOU (climate change adaptation technologies) and GROWN IN THE BLUE (Mediterranean reef conservation), he integrates research in industrial design, augmented reality, and underwater cultural heritage. He has authored over 200 publications (h-index 27) and holds 10 patents. His teaching includes Tools and Methods for Industrial Design and Formula SAE LAB . His research focuses on: Industrial design methodologies with parametric and sustainable approaches 3D prototyping and additive manufacturing User-Centered Design for product ergonomics Virtual/Augmented Reality applications in engineering and cultural heritage Underwater robotics and artifact restoration Recent publications highlight trends in AR for industrial maintenance, generative design tools, and mechatronic solutions for underwater heritage. He has supervised over 300 theses and 10 Ph.D. students while leading technology transfer initiatives.
Jari Huikku serves as Associate Professor and Head of the Department of Accounting at Aalto University School of Business, where he has been a faculty member since 2003. His academic journey includes a Doctoral degree in Accounting from Helsinki School of Economics (2009) and a Master's in Finance from Turku School of Economics. Prior to academia, Huikku accumulated 15 years of industry experience in multinational corporations such as Wärtsilä and Sanitec, holding financial director and general management positions. His educational qualifications are: Doctor of Philosophy (Accounting), Helsinki School of Economics, 2009 Master of Science (Finance), Turku School of Economics and Business Administration, University of Turku Huikku's research centers on Strategic Investment Decision-Making, Management Control Systems, Goodwill, and Post-Completion Auditing. He examines how organizations implement risk analysis in investment decisions and the motivational factors influencing management control practices. His work also extends to accounting education, investigating student learning approaches and gender differences in performance. This dual focus bridges theoretical accounting research with practical educational applications. Analysis of his recent publications (2021-2025) reveals consistent exploration of strategic investment processes, budgetary control systems, and accounting education methodologies. His work increasingly incorporates organizational theory perspectives like strong structuration theory and embedded agency, while maintaining empirical grounding through case studies and qualitative analysis. The interdisciplinary nature of his research connects accounting with organizational behavior, healthcare management, and educational psychology. Huikku has earned multiple scholarly accolades: Best Paper Award, Management Accounting Research Group Conference (2024) Best Paper Award, Massey University (2022) Huugo Raninen Prize, Finnish Journal of Business Economics (2008) Best Qualitative Paper Award, Massey University (2012) Best Paper Award, Massey University (2012) Best Paper Award, Lincoln University (2015) In his academic role, Huikku supervises master's and doctoral students in strategic investment and management control topics. He directs a capstone management consultancy course where students address real corporate challenges. His international scholarly engagements include visiting positions at Copenhagen Business School, University of Auckland, and Stockholm School of Economics, reflecting his global research network. While specific grant details aren't provided, his extensive publication record in top journals indicates sustained research funding. Though not explicitly stated, Huikku's leadership as Department Head and collaborative research across institutions suggests active involvement in academic communities and research groups focused on accounting and management control systems.
David Klinowski is a Visiting Assistant Professor in the Marketing and Business Economics department at the Katz School, University of Pittsburgh. He joined the school in 2022 and previously held a postdoctoral fellowship at Stanford University's Department of Economics. His research focuses on behavioral economics, experimental economics, gender gaps in education and labor markets, and the economics of science. PhD in Economics, University of Pittsburgh MA in Economics, University of South Florida BA in Physics, University of South Florida BA in Economics, University of South Florida David’s research explores themes such as gender disparities in feedback preferences, reluctance in charitable giving, and workplace competition dynamics. His work spans disciplines like economics, behavioral science, and labor market studies. His recent publications include studies on gender gaps in test scores, donor behavior in crowdfunding, and the economics of scientific communication. These works intersect with keywords such as Behavioral Economics , Experimental Economics , and Gender Dynamics .
Maarten Sap is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute with a courtesy appointment in the Human-Computer Interaction Institute. He also holds a part-time research scientist position at the Allen Institute for AI (AI2) as an AI safety lead. Current affiliations: CMU (2022–present), AI2 (2022–present) Prior: Postdoctoral Researcher at AI2 (2021–2022), Research Intern at AI2 (2018–2019) and Microsoft (2019) His research focuses on enhancing AI systems with social intelligence and addressing social biases in language technology. Key themes include: Ethical AI and Human-Centric Design Narrative Dynamics and Social Context Analysis AI Agents and Social Intelligence Toxic Language Detection and Cultural Bias Mitigation Recent publications examine: AI safety frameworks like HAICOSYSTEM Clinical reasoning alignment (ALFA) Multilingual moderation (PolyGuard) Cultural sensitivity in non-verbal AI (Mind the Gesture) Personality shaping in LLMs (BIG5-CHAT) Scientific Recognition: 2025 Okawa Research Grant Best Paper Runner Up - NAACL 2025 Outstanding Paper - EMNLP 2023 Best Paper - FAccT 2023 Best Paper - WeCNLP 2020 He advises a diverse group of PhD students across CMU and MIT, and has served on multiple program committees including ACL, EMNLP, and FAccT. His work appears in top venues like Nature Machine Intelligence, PNAS, and ACL.
Ziming Zhang is an Assistant Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI) , with additional affiliations in Data Science and Robotics Engineering. He previously held research roles at Mitsubishi Electric Research Laboratories (MERL) and Boston University. PhD in Computing (2013) from Oxford Brookes University , UK MS in Computing Science (2010) from Simon Fraser University , CA BS in Computer Science and Technology (2005) from Northeastern University , China Research interests span computer vision , machine learning , and their applications in point cloud processing , medical imaging , autonomous driving , and IoT . He leads the Vision, Intelligence, and System Laboratory (VISLab) at WPI. Recent publications focus on 3D reconstruction , hyperbolic learning , and robust classifiers . Awards include the R&D100 Award 2018 and NSF funding for data-efficient deep learning. PhD Students: Yecheng Lyu (co-supervised), Guojun Wu (co-supervised), Hangrui Zhang, Xuechu Yu Master's Students: Yun Yue, Yuping Shao Visiting Scholars: Fangzhou Lin His lab partners with industry and academic institutions, focusing on autonomous systems , robotics , and scientific imaging projects.
Dr. Hongwei Wang is a Senior Researcher at Tencent AI Lab Seattle , specializing in applied machine learning for Natural Language Processing and Interconnected Systems . His work bridges Knowledge Graphs , Recommender Systems , and Graph Neural Networks , with a focus on large language models and retrieval-augmented generation. Ph.D. (2018), B.E. (2014) in Computer Science from Shanghai Jiao Tong University Postdoctoral Researcher : Stanford University (2019-2021), University of Illinois Urbana-Champaign (2021-2022) Dr. Wang’s research explores integrating Knowledge Graphs with Graph Neural Networks to enhance recommendation systems, language models, and information retrieval. His work spans Retrieval-Augmented Generation , Representation Learning , and GAN-based Graph Modeling , with recent papers on State-Space Exploration for LLM agents and Semantic Watermarking . His 15 most recent publications (2022-2024) focus on Retrieval Granularity , Interactive Memory , and Agent Systems , with keywords spanning Computer Science , Machine Learning , and Knowledge Graphs . Trends highlight advancements in Token-Level Semantic Matching , Schema-Guided Event Prediction , and Multi-Document Summarization . Scientific Awards: 2020 CCF Outstanding Doctoral Dissertation Award 2018 Google Ph.D. Fellowship Dr. Wang contributes to open-source projects like DKN and RippleNet , with 11 repositories on GitHub. He actively engages in Knowledge Graph Conferences (KDD, WWW, AAAI) and studies Chinese Classical Poetry and Film Arts .
Vesa Pursiainen is an Associate Professor at the School of Business and Economics , University of St. Gallen (SBF-HSG). His research focuses on corporate finance, fintech, environmental economics, crowdfunding, and behavioral finance, with a particular emphasis on how technology, social dynamics, and crises impact financial decisions and market behavior.
Amol Patil is a Research Engineer at the Institute for Frontier Materials (IFM), Deakin University, Australia. He holds an MTech in Textiles from IIT Delhi and a PhD in Textiles from Deakin University. His career spans industrial experience in Quality Assurance, R&D, and Product Development, followed by academic research focused on dyeing and finishing of textiles , environmental impact of textiles , and sustainable chemistry in fibre manufacturing . A key collaborator in industrial projects, he works on fibre-to-fibre recycling and microplastic pollution mitigation in laundry processes. Education: MTech (IIT Delhi), PhD (Deakin University) Affiliation: Institute for Frontier Materials, Deakin University Collaborations: ARC Research Hub for Functional and Sustainable Fibres, HeiQ-Marine Bioproducts (MBCRC) Research Trends The 15 most recent articles highlight his expertise in conductive polymers applied to cotton and polyester textiles, with implications for EMI shielding , gas sensing transducers , and smart materials . Topics include durable antimicrobial finishes , superhydrophobic treatments , and atmospheric aging resistance in textiles. His work bridges chemical engineering and environmental sustainability, particularly in reducing water usage and microplastic release during laundry.
Ayorkor Gaba, PsyD, serves as an Adjunct Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the University of Massachusetts Chan Medical School (UMass Chan). She directs the Behavioral Health Equity Advancement Lab (B-HEAL) and leads the Equity Division at the Massachusetts Center of Excellence in Specialty Court. Dr. Gaba's academic affiliations include the T.H. Chan School of Medicine at UMass Chan where she conducts research at the intersection of behavioral health and social justice. Dr. Gaba earned her BS in Psychology and PsyD in Clinical Psychology from Rutgers University. Her educational background provided the foundation for her specialized work in clinical psychology with a focus on marginalized populations. Her research program centers on reducing health disparities and advancing health equity through implementation science approaches. Dr. Gaba specifically investigates how to improve behavioral health services for historically marginalized populations including African American/Black and Latino/a/x individuals and families, people involved in the criminal legal system, and women. She examines co-occurring mental health and substance use disorders within specialty court settings, with particular attention to racial/ethnic disparities in service delivery and outcomes. Her work integrates social justice principles with systems thinking to address social determinants of health that contribute to inequities in behavioral healthcare. An analysis of her recent publications (2019-2024) reveals a strong emphasis on implementation science within criminal justice settings, particularly specialty courts. Her research consistently examines racial and ethnic disparities in behavioral health services, with growing attention to digital health interventions and gender-specific considerations in treatment. The publications demonstrate methodological diversity including clinical trials, implementation studies, qualitative analyses, and systematic reviews focused on equity-oriented interventions. Dr. Gaba actively contributes to advancing discourse around race, ethnicity, and culture in psychiatric research and practice, as evidenced by her co-authorship on methodological guidance for reporting on these critical dimensions in research. As Director of the Behavioral Health Equity Advancement Lab (B-HEAL), Dr. Gaba leads a research team focused on developing and testing interventions that address health inequities. Her lab works closely with the Massachusetts Center of Excellence in Specialty Courts, particularly on initiatives related to the Equity Division which she directs. This collaborative structure enables her team to implement and evaluate evidence-based practices in real-world criminal justice settings while centering equity considerations throughout the research process.
Elena Asparouhova is a Professor of Finance at the David Eccles School of Business , University of Utah. She holds a doctorate in Social Sciences from the California Institute of Technology and a Masters in Statistics from Sofia University , Bulgaria. Her research focuses on theoretical and experimental financial economics , including asset pricing theory , experimental finance , general equilibrium theory , and econometrics . Recent work examines financial market competition under delegation , information percolation in dark markets , and human-robot interaction in trading . Best Paper Award, Journal of Financial Markets (2025) Best Paper Award, Review of Finance (2024) Best Paper, Behavioral Finance and Capital Markets Conference, Australia (2025) Continuous National Science Foundation funding for 10+ years Contact: e.asparouhova@utah.edu , University of Utah, Salt Lake City, Utah 84112.
Guiru Nash Liu is a Global Professor in the Department of Materials Science and Engineering at the University of Arizona. She holds a PhD from Illinois Institute of Technology and has prior industrial experience as a senior experimental metallurgist at Progress Rail (Caterpillar Company) and as an adjunct professor at Illinois Institute of Technology. BS: Tianjin University, P.R. China MS: University of Southern California PhD: Illinois Institute of Technology (Materials Science and Engineering) Her research focuses on materials science and metallurgy , with specialization in corrosion, fatigue analysis, microstructural characterization, and alloy development . She has contributed to understanding fatigue failure in metallic components, environmental effects on crack propagation, and corrosion behavior in extreme conditions. Guiru Nash Liu's publications highlight expertise in corrosion kinetics, sintering mechanisms, alloy performance, and fatigue mechanics , particularly for titanium, copper, and steel alloys used in locomotive engines and aerospace applications. Fellow of ASM International (2020) Allan Ray Putnam Service Award (ASM International, 2022) Caterpillar CEO Award (2022) She has authored over 150 internal publications and 14 peer-reviewed works, served as a reviewer for the Journal of Materials Science and Journal of Metallography, Microstructure and Analysis , and was a founding member of the ASM International Failure Analysis Society.
Prof. Dr. Jürgen Biela serves as Full Professor at ETH Zurich within the Department of Information Technology and Electrical Engineering, where he leads the Laboratory for High Power Electronic Systems. His academic career at ETH Zurich has progressed from doctoral studies to his current position as head of his research laboratory, with significant contributions to power electronics research and education. Biela earned his diploma with honors from Friedrich-Alexander University in Erlangen, Germany in 2000 and completed his Ph.D. at ETH Zurich in 2005, both in electrical engineering. His educational background includes specialized work on resonant DC-link inverters at Strathclyde University and active control of series connected IGCTs at the Technical University of Munich. His research program focuses on multi-physics modeling, design and optimization of power electronic systems , with particular emphasis on applications for future energy distribution and transmission, pulsed power systems, and advanced medium voltage power electronics based on novel semiconductor technologies like silicon carbide (SiC). He also investigates integrated passive components for ultra-compact and ultra-efficient high-power converter systems, pushing the boundaries of power density and efficiency in electronic power conversion. Analysis of his recent publications reveals strong trends in high-frequency power conversion , with significant work on transformer and inductor design, insulation systems for medium-frequency applications, thermal management of power components, and advanced modeling techniques for electromagnetic phenomena. His research bridges fundamental electromagnetic theory with practical engineering applications, particularly in high-voltage and high-power scenarios where traditional approaches face limitations. As a prolific researcher, Biela has published over 85 journal papers and 210 conference papers while holding more than 35 patents. He serves as an Associate Editor for the IEEE Transactions on Power Electronics and regularly reviews for leading journals and conferences in the field. His work demonstrates consistent contributions to advancing power electronic systems through rigorous theoretical analysis combined with practical implementation. Biela has supervised numerous doctoral and master's students, with recent publications indicating active mentorship of researchers working on advanced power electronic components and systems. His laboratory at ETH Zurich serves as a hub for innovation in high-power electronics, with connections to industry research projects that translate theoretical advances into practical applications. Current research directions include developing cost-effective alternatives to traditional components like Litz wire, improving insulation systems for high-voltage applications, and creating more accurate models for predicting thermal and electromagnetic behavior in power electronic systems.
Heikki Remes serves as Associate Professor in the Department of Energy and Mechanical Engineering at Aalto University's School of Engineering, where he investigates high-performance steel structures for marine environments with emphasis on lightweight ship designs using advanced materials and manufacturing techniques. His research integrates fundamental fatigue and fracture mechanics with practical structural challenges, spanning from crystal-level material behavior to continuum-scale modeling. Key focus areas include welded joint integrity, additive manufacturing defects, and computational analysis of marine structures under extreme conditions. Recent publications reveal strong trends in fatigue assessment methodologies for complex welded geometries, experimental validation of distortion effects, and AI-enhanced damage prediction systems, reflecting his commitment to bridging theoretical mechanics with shipbuilding applications. Scientific Awards: Aalto Education Impact Award (2018) for establishing Marine Technology study programs SNAME Honorable Mention for 2018 Vice Admiral E. L. Cochrane Award Teaching Award of Aalto School of Engineering (2012) for educational tools No specific student advising or grant information appears in available sources, though his active publication record indicates ongoing research leadership. He contributes significantly to the Marine and Arctic Technology research group, driving projects on structural integrity assessment and advanced manufacturing solutions for next-generation marine vessels.
Hanna Eklof is an Associate Professor at Umeå University's Department of Applied Educational Science within the Faculty of Social Sciences. Her research focuses on educational psychology and assessment, particularly examining test-taking motivation in international large-scale assessments. Her primary research interests include: Educational Psychology and Assessment Test-taking Motivation and Effort Mathematics Anxiety and Performance Working Memory and Cognitive Processes Large-scale Educational Studies (PISA, TIMSS) Psychometric Methods and Validation Dr. Eklof's recent publications demonstrate a consistent focus on understanding how student motivation affects performance in international assessments, particularly examining response processes, questionnaire-taking behavior, and the relationship between cognitive factors and academic achievement. Her work often employs sophisticated psychometric methods including Item Response Theory and process data analysis to investigate test-taking behavior. Her scientific contributions include numerous publications in high-impact journals examining test-taking motivation across different cultural contexts, the development of assessment tools like the Swedish MARS-E for measuring mathematics anxiety, and investigations into how cognitive factors like working memory mediate relationships between anxiety and performance.
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