Hannes Hick is a Professor at Graz University of Technology , affiliated with the Institute of Machine Elements and Development Methodology . His research focuses on mechanical development, tribology, and systems engineering for automotive and industrial applications. He actively contributes to engineering education and methodology standardization. Research Interests Hydrogen internal combustion engines System modeling and digital twins Tribology in electric drivetrains Sustainable engineering practices MBSE (Model-Based Systems Engineering) Friction and wear analysis Article Trends His recent work emphasizes hydrogen propulsion systems, model-based approaches for interdisciplinary engineering challenges, tribological optimization for sustainable mobility, and integrating AI with mechanical design workflows. Labs and Teams He leads research at the Institute of Machine Elements, focusing on mechanical validation and development methodologies for advanced powertrain systems.
Prof. Dr. Kirsten Jung is a faculty member at the Department of Microbiology , Faculty of Biology , Ludwig Maximilian University of Munich . Her research focuses on bacterial signal transduction, stress response mechanisms, and systems biology approaches to understand microbial regulatory networks. Key research areas include stress-dependent gene expression in bacterial populations Structural and functional analysis of membrane-integrated receptors Metabolism-based chemical communication in bacteria Integration of experimental and computational systems biology Recent publications highlight her lab's work on Escherichia coli epitranscriptomic modifications under heat stress, m 5 C rRNA dynamics, and the role of RNA methylation in host-pathogen interactions. Collaborative studies address bacterial acid stress responses and their implications for antibiotic tolerance. Her interdisciplinary work bridges microbiology with ecological studies, as evidenced by research on biodiversity conservation in forest and urban ecosystems. Publications also demonstrate expertise in advanced imaging techniques (e.g., arterial spin labeling for glioma analysis) and bioinformatics approaches. Current advisees include Gloria Gessinger and Tania P. Gonzalez-Terrazas . She can be contacted at jung@lmu.de .
Emma Spiro is an Associate Professor at the University of Washington Information School, with adjunct appointments in the Department of Sociology and Human Centered Design & Engineering. She co-founded the Center for an Informed Public (CIP) and directs the Social Media Lab (SoMeLab) and Data Science and Analytics Lab (DataLab). Her research focuses on online communication, misinformation dynamics, and network structures in both digital and physical contexts. Dr. Spiro’s work explores social networks and computational social science, analyzing how misinformation spreads during crises and elections. Her research has been funded by the National Science Foundation and Army Research Office, and published in top journals like PNAS, Social Networks, and Information, Communication & Society. She holds a Ph.D. in Sociology from UC Irvine and dual B.A.s in Applied Mathematics and Science, Technology & Society from Pomona College. As a Data Science Fellow at UW’s eScience Institute, she bridges technical and social science methodologies to study information integrity. Her affiliations include the UW Center for Statistics & the Social Sciences (CSSS) and the Center for Studies in Demography & Ecology (CSDE). She actively collaborates across disciplines to address strategic misinformation through labs, institutes, and multi-institutional initiatives like the Disinformation Summer Institute.
Goran Oreški is an Associate Professor and Head of the Laboratory at the Faculty of Informatics in Pula (University Jurja Dobrile, Croatia), where he has been employed since 2019. He teaches courses on databases, object-oriented programming, data warehousing, and artificial intelligence at both undergraduate and graduate levels. Education: Ph.D. in Informatics (2016), Faculty of Organization and Informatics Industry Experience: 9 years as software architect and programmer in banking sector Research Focus: Artificial Intelligence systems, classical machine learning algorithms, and deep learning architectures. His work bridges theoretical advancements with practical applications in autonomous vehicles, traffic monitoring, and financial risk assessment. Recent Publication Trends: 2023-2025 works emphasize generative AI for synthetic credit data, traffic object segmentation with monocular cameras, and context-aware detection models (YOLO*C). Earlier works focus on genetic algorithms and ensemble learning for imbalanced datasets. Awards: Google RFP Award for autonomous vehicle research Highly Cited Paper (Web of Science, top 1%) Best Paper at CECIIS conference Leadership: Director of FIPU Laboratory since 2022, leading projects like ai.Shuttle (autonomous mini-bus) and CenAI (industry collaboration with Cenosco).
Mila N. Koeva is a Vice Dean Research and senior Associate Professor at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management. Her research focuses on 3D modeling and Digital Twins for land management and urban planning, integrating geospatial technologies, UAV data, and AI/ML methods. PhD in architectural photogrammetry MSc in Engineering (Geodesy) Research Themes: Digital Twinning for urban ecosystems AI-driven cadastral boundary extraction 3D modeling with LiDAR and satellite data Global partnerships in Rwanda, Kenya, and Ethiopia Interoperability standards for local digital twins Scientific Contributions: Geospatial World Innovation Award 2021 Copernicus Masters Competition (3rd place 2016) Editorial roles in Photogrammetric Records and MDPI journals Keynote speaker at 3D GeoInfo, GI Forum, and FIG events Her educational impact includes developing courses, lecturing, and supervising students whose work has received top awards in The Netherlands and international competitions.
Constantine E. Kontokosta is Professor of Urban Science and Planning at NYU Marron Institute of Urban Management, Director of Civic Analytics and Urban Intelligence Lab, with cross-appointments at Center for Urban Science and Progress (CUSP) and Department of Civil and Urban Engineering. He serves as affiliated faculty at Wagner School of Public Service and previously held leadership roles including inaugural Deputy Director of CUSP. His educational background includes: PhD, Urban Planning (Minor: Econometrics) from Columbia University MPhil, Urban Planning from Columbia University MS, Urban Planning; Quantitative Analytics from Columbia University MS, Real Estate Finance and Economics from New York University BSE, Systems Engineering - Civil from University of Pennsylvania Kontokosta leverages large-scale data and computational methods to advance urban energy/climate policy, neighborhood dynamics, and bias detection in public decision-making. His research integrates urban planning with data science to develop equitable solutions for sustainable development, with recent projects analyzing COVID-19 disparities through mobility data and creating methods to reduce building emissions. The work emphasizes evidence-based policy, information transparency, and uncovering algorithmic discrimination. His honors include the IBM Faculty Award, UN Data for Climate Action Challenge Award, Goddard Junior Faculty Fellowship, and multiple best paper awards. Key recognitions: 2023 Best Paper Award (ICLR Climate Workshop) 2021 Article of the Year (Journal of American Planning Association) 2017 Microsoft Azure Research Award 2014 IBM Faculty Award 2012 Fellow of Royal Institution of Chartered Surveyors Funded by National Science Foundation, MacArthur Foundation, Sloan Foundation, U.S. Department of Transportation, NYC Mayor’s Office of Sustainability, Lincoln Institute, and HUD, Kontokosta has served on UNEP Sustainable Buildings Council, Royal Institution of Chartered Surveyors Americas Board, and Suffolk County Planning Commission. His entrepreneurial ventures translate research into practical urban solutions. He leads the Urban Intelligence Lab focused on data-driven urban methodologies and Civic Analytics program advancing evidence-based policy through transparent knowledge democratization, with research featured in Nature Communications, PNAS, and major media outlets.
Christos Makris is an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece. His academic career spans over two decades with significant contributions to computer science, particularly in data structures, algorithms, and information systems. He maintains active research collaborations and supervises graduate students in his areas of expertise. Dr. Makris's research spans several key areas in computer science with a strong focus on efficient data organization and processing. His work encompasses Data Structures , Information Retrieval , Data Mining , String Management and Processing Algorithms , Computational Geometry , Internet Technologies , Bioinformatics , and Multimedia Databases . His interdisciplinary approach bridges theoretical computer science with practical applications across various domains including web technologies, bioinformatics, and emergency response systems. Analysis of Dr. Makris's publication record reveals a consistent research trajectory focused on efficient algorithms for information management. His work demonstrates evolution from foundational data structure research in the 1990s to more applied work in web technologies, social media analysis, and machine learning applications in recent years. A notable pattern is his ability to adapt core algorithmic techniques to emerging application domains while maintaining theoretical rigor. Dr. Makris maintains an impressive scholarly record with over 3,000 citations, an h-index of 29, and an i10-index of 71 according to Google Scholar metrics. These indicators reflect the significant impact of his research within the computer science community. As an active faculty member, Dr. Makris maintains regular office hours on Tuesdays from 18:00-20:00 and Thursdays from 12:00-14:00. He is accessible via email at makri@ceid.upatras.gr or makri@upatras.gr for academic inquiries and student supervision.
John Valasek is a Professor in the Department of Aerospace Engineering at Texas A&M University, holding the Drs. L. Diane '88 and John E. Hurtado '91 Professorship. He directs the Vehicle Systems & Control Laboratory (VSCL) and serves as Site Director for the NSF Center for Autonomous Air Mobility and Sensing (CAAMS) and the FAA Center for General Aviation Research (PEGASAS). His research focuses on autonomous control systems, UAV navigation, and cybersecurity for aerospace vehicles. Valasek earned his Ph.D., M.S., and B.S. in Aerospace Engineering from the University of Kansas (1995) and California State Polytechnic University (1986). Education: Ph.D., Aerospace Engineering, University of Kansas - 1995 M.S., Aerospace Engineering, University of Kansas - 1990 B.S., Aerospace Engineering, California State Polytechnic University - 1986 Research Interests: Autonomous systems, nonlinear control, vision-based navigation, UAV control, bio-nano materials control, and aerospace systems engineering. Key Contributions: Over 100 invited lectures/seminars, leadership in NSF-funded research centers, and development of advanced control algorithms for aerospace systems. Notable publications include work on reinforcement learning for autonomous systems and real-time system identification for UAS. Awards: John Leland Atwood Award (2015) McElmurry Outstanding Teaching Award (2001, 2004, 2014) Engineering Hall of Fame inductee (2019) Advising & Grants: Advised over 60 graduate students, including recent NSF GRFP winner Evelyn Madewell. PI on multi-million-dollar grants, including the NSF CAAMS project and Air Force-funded research on autonomous systems. Labs & Teams: Directs the Vehicle Systems & Control Laboratory (VSCL), focusing on low-cost attritable aircraft technology and autonomy. Collaborates with industry partners like Stratolaunch and VectorNav through CAAMS initiatives.
Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.
Hailiang Chen serves as Professor in Innovation and Information Management, Assistant Dean (Taught Postgraduate), and Director of the Artificial Intelligence Research Institute at HKU Business School, The University of Hong Kong. His academic journey includes a PhD and MS from Purdue University and a BM from Tsinghua University. Doctoral Degree: Management Information Systems, Purdue University Master Degree: Economics, Purdue University Bachelor Degree: Information Management and Information Systems, Tsinghua University Professor Chen's research spans artificial intelligence, FinTech, social media analytics, and platform economics, with significant contributions to understanding how digital interactions shape financial markets and consumer behavior. His work frequently examines the intersection of technology adoption and economic outcomes, particularly in cryptocurrency markets, live-stream commerce, and venture capital decision-making. His research methodology combines large-scale data analysis with experimental designs to uncover causal relationships in digital ecosystems. His publications in elite journals like Journal of Financial Economics and Management Science demonstrate consistent impact, with multiple ESI Highly Cited Papers. Current projects include Gov-RAG for e-government services and comparative studies of AI search tools. His research has received continuous funding from Hong Kong's Research Grants Council for five consecutive years (2019-2023). Faculty Outstanding Researcher Award, HKU Business School (2022-23) INFORMS ISS Sandra A. Slaughter Early Career Award (2022) Association for Information Systems Early Career Award (2019) Three ESI Highly Cited Papers (Top 1% in field) Professor Chen actively contributes to academic service as Associate Editor for Journal of Management Information Systems and MIS Quarterly , and serves as Program Chair for the International Conference on Smart Finance. His industry collaborations include Alibaba, HSBC, and China Construction Bank, bridging academic research with real-world business applications in AI implementation and digital transformation.
Stijn Baert is a Full-Time Professor of Empirical Labor Economics at Ghent University and a Part-Time Professor at the University of Antwerp. He leads UGent@Work, a research network of 30 professors analyzing labor market dynamics. Affiliated with institutions like Université catholique de Louvain, GLO, IMISCOE, and IZA, Baert's work bridges academic rigor with policy impact. Doctorate in Economics (2013), Ghent University Master's in Economics (2008), Ghent University Civil Engineering Degree (2006), Ghent University His research focuses on labor market discrimination , unemployment consequences , and work-health intersections . He has published in European Economic Review , Health Economics , and Social Science & Medicine , with over 1,000 annual citations. Baert's policy work includes proposals for degressive unemployment benefits and sector-specific practical tests to address discrimination. Key articles highlight AI's labor market impact, parenthood's career effects, and compressed work schedules. His awards include the Rotary Science Award (2020) and multiple recognitions for doctoral research. He is a frequent media commentator, with over 7,500 citations in national/international outlets, and a top 1% globally influential economist. 2020: Ranked Second Among Flemish Thought Leaders 2019: Included in Trends Magazine’s Top 30 Belgian Thirty-Somethings 2014: Charles Ullens Prize 2013: P&V Foundation Prize Baert's advocacy includes evidence-based labor market reforms, participation in Flemish recovery committees, and public engagement through YouTube videos and media interviews. His work on AI in the workplace (2025) reveals that 52% of men but only 40% of women use AI, with 21% finding AI brainstorming more productive than human collaboration.
Professor Simon Robinson is a faculty member in the School of Mathematics and Computer Science at Swansea University, holding a position as a Professor of Computer Science. He serves as the Head of the Future Interaction Technologies (FIT) Lab and Director of the MSc year for the EPSRC Centre for Doctoral Training in Enhancing Human Interaction and Collaboration with Data-Driven Systems. His research focuses on devices and interactions designed for emergent users in low-connectivity regions, emphasizing participatory design and co-creation with underserved communities. Current projects include the EPSRC-funded UnMute initiative, which aims to empower marginalized language speakers through spoken language technologies. Key affiliations include leadership roles in the FIT Lab and the EPSRC CDT, alongside contributions to projects like Rethinking Public Technology in a Post-COVID Era, PV Interfaces, and Scaling the Rural Enterprise. His work spans ubiquitous computing, deformable devices, and inclusive interaction design for global south communities. Research interests center on Human-Computer Interaction (HCI), with a focus on low-resource settings. Recent work addresses speech technologies for unwritten languages, trust in human-robot interactions, and sustainable self-powered interfaces. His lab explores innovations like Light-In-Light-Out (Li-Lo) displays and community-driven smart materials (PV-Pix). Professor Robinson has supervised numerous PhD students across topics including AI ethics, predictive maintenance, and human-centric NLP. He teaches modules like Introduction to HCI and contributes to the Human-Centred Big Data and AI Dissertation program. His work integrates grants from EPSRC and collaborative projects with international partners, reflecting a commitment to socially impactful technology. Labs & Teams: Director of the FIT Lab, active in the EPSRC CDT, and collaborator in interdisciplinary teams focusing on rural technology, assistive AI, and sustainable interfaces.
Min Peng is a Professor at Wuhan University's School of Computer Science. His research focuses on artificial intelligence, machine learning, natural language processing, and knowledge graphs. He has collaborated extensively with institutions like Hefei University of Technology and the University of Chinese Academy of Sciences. His work bridges theoretical advancements in AI with practical applications in finance, social media analysis, and network optimization. Recent contributions include neural-symbolic reasoning frameworks, contrastive learning for knowledge graphs, and financial benchmarking with large language models. Research interests emphasize scalable machine learning models for complex reasoning tasks, explainable AI, and domain-specific applications in finance and social networks. Over 100 publications span venues like WWW, ACL, and NeurIPS, highlighting interdisciplinary impact. Notable projects include SymAgent (neural-symbolic agent frameworks), PIXIU (financial LLM benchmark), and DTC (commonsense machine comprehension). Key technical trends include integrating large language models with structured data, temporal knowledge graph reasoning, and transfer learning across domains. His work often addresses real-world challenges in data efficiency, interpretability, and cross-domain scalability. Current efforts explore financial LLMs, agent-based reasoning systems, and multimodal applications. While no specific grants or awards are listed in the provided data, his prolific publication record indicates sustained research excellence. Collaboration networks include teams in computer science, electrical engineering, and finance disciplines.
Ranjit Lall is an Associate Professor of International Political Economy at the University of Oxford's Department of Politics and International Relations, and a Fellow of St John's College. His research focuses on international cooperation, development, technological change, and methodological innovations in machine learning and missing data analysis. He holds a PhD from Harvard University and a BA from Oxford, and has been recognized with the Merze Tate Award and Leamer-Rosenthal Prize for his work. Education : PhD in Government (Harvard University), BA in Philosophy, Politics, and Economics (University of Oxford) Affiliations : St John's College Fellow, Oxford's International Relations Network His research explores how international institutions function, leveraging computational tools like MIDASpy for missing data imputation. Key interests include civil society influence on global governance, accountability mechanisms, and the political economy of technological change. He previously worked at the Bank of England and Financial Times before academia. Recent Research Trends : Articles emphasize institutional performance metrics, pandemic-era voting behavior, and AI governance frameworks. His work bridges theoretical political science with practical computational methods. Awards : 2020 Leamer-Rosenthal Prize, 2018 Merze Tate Award Advising : Supervises six graduate students in international relations and political economy Lall collaborates on open-source projects such as the MIDAS software for data imputation and actively contributes to debates on transparent social science research practices.
Simon Hayhoe is a Reader in Education at the University of Exeter's School of Education and an Associate of the Scottish Sensory Centre, University of Edinburgh. His work focuses on sensory impairment, ageing, inclusive technologies, and participatory research methodologies. He has held roles at the University of Bath (2016-2023), Canterbury Christ Church University, and Sharjah Women’s College, UAE. His research has been supported by a Horizon 2020 grant and a Fulbright Fellowship, among others. Education: PhD in Education (University of Birmingham, 2006), PGCE in Secondary Technology (University of Bath, 1997), MEd (University of Leicester, 1995), BA in Technical Communication (Coventry Polytechnic, 1993). His research interests include sensory impairment philosophies, accessible museum technologies, and inclusive education policies. Notable projects include the ARCHES initiative on cultural heritage accessibility and the Sound Pad Project, which co-created inclusive technologies with marginalized communities. He has delivered keynotes at institutions like MIT, Harvard, and the Metropolitan Museum of Art, and serves on editorial boards for journals such as British Journal of Visual Impairment and Discover Global Issues . His awards include the Fulbright Scholarship and fellowships from the British Computer Society and Metropolitan Museum of Art.
