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Young Ji KimView profile

Assistant Professor

• Collaboration
• Collective Intelligence
• Human-Machine Teaming
• +6 more

Young Ji Kim is an Assistant Professor in the Department of Communication at the University of California, Santa Barbara (UCSB). Her research focuses on team collaboration, collective intelligence, human-machine teaming, and neurodiversity in workplace settings. She holds a Ph.D. in Communication from the University of Southern California (USC), an M.A. from USC, and a B.A. in Communication from Yonsei University. Prior to UCSB, she conducted postdoctoral research at the MIT Sloan School of Management's Center for Collective Intelligence. Her work examines how team diversity, communication processes, and emerging technologies influence team dynamics and performance. Key areas include digital nudges for enhancing collective intelligence, multicultural globally dispersed teams, and the integration of AI in collaborative environments. She has been awarded top paper honors from the International Communication Association, National Communication Association, and Academy of Management, as well as a prestigious MURI grant from the Department of Defense (2021-2024). Kim's research bridges communication science, organizational behavior, and technology, with applications in virtual teams, remote work, and the future of human-AI collaboration. She has published extensively on topics such as vocal synchrony in video conferencing, collective performance metrics, and the impact of visibility affordances on boundary work in teams.

Dora BiroView profile

Professor

• Animal Cognition
• Collective Behavior
• Primate Behavior
• +5 more

Dora Biro is the Beverly Petterson Bishop and Charles W. Bishop Professor of Brain and Cognitive Sciences at the University of Rochester, serving as Interim Chair of the Department of Brain and Cognitive Sciences. Her research focuses on animal cognition, collective behavior, and decision-making in primates and other species. Key interests include navigation, tool use, social learning, and animal culture. She leads studies in Gorongosa National Park, Guinea-Bissau, and other野外 environments, employing deep learning technologies for behavior analysis and social network mapping. Research emphasizes primate behavioral ecology, particularly in chacma baboons and chimpanzees, exploring how environmental factors (e.g., predation, seasonality) shape social and foraging strategies. She investigates cumulative culture in animal groups, collective intelligence, and cognitive evolution through tool-use studies. Her work bridges neuroscience, ecology, and anthropology. Education: Not explicitly stated in provided text. Affiliations: School of Arts & Sciences, Department of Brain and Cognitive Sciences, University of Rochester. Recent studies analyze leadership hierarchies in homing pigeons, collective learning dynamics, and the impact of human activity on wildlife behavior. She collaborates on projects involving genomic analysis of baboon populations and fossil records in Mozambique. Her lab integrates field observations with computational models to explore emergent behaviors in animal groups.

Neil SandhamView profile

Professor

• Transonic Aerodynamics
• Hypersonic Flows
• Turbulent Flows
• +3 more

Professor Neil Sandham is a Professor of Aerospace Engineering at the University of Southampton, leading research in transonic and hypersonic aerodynamics. He has held this position since 1999, following roles at Stanford University (PhD 1989), DLR Göttingen, and Queen Mary, University of London. His expertise spans numerical simulations of transitional and turbulent flows, with a focus on high-performance computing and aerodynamic design. Research interests include transonic buffet phenomena, hypersonic flows with thermo-chemical non-equilibrium, and flow over rough surfaces. Current projects involve Exascale computing using OpenSBLI, shocklet dynamics, and space entry systems like MEESST. Teaching includes modules on aerothermodynamics and computational aerodynamics. He supervises PhD students in engineering and environmental systems. External roles include Fellow of the Royal Aeronautical Society (since 2004) and editorial board membership for AIAA Journal (2019–2021). Key collaborations involve EPSRC-funded projects such as the UK Turbulence Consortium and EU initiatives like EXAFLOW. His work bridges academic research and industrial applications in aerospace engineering.

Carolin GerlitzView profile

Professor

• Digital Media Technologies
• Digital Methods
• Platform Studies
• +12 more

Carolin Gerlitz is Professor for Digital Media and Methods in the Department of Media Studies at the University of Siegen, Faculty of Arts and Humanities. She is a leading figure in digital methods, platform studies, and the sociology of data, with extensive affiliations including the DFG-funded Collaborative Research Centers Media of Cooperation (SFB 1187) and Transformations of the Popular (SFB 1472). She is Principal Investigator of subproject C01 'Fabricating the People' and co-leader of the Center for Digital Methodologies in Media, Language and Technology Research. She previously served as Assistant Professor in New Media & Digital Culture at the University of Amsterdam and is a member of the Digital Methods Initiative Amsterdam. Her research focuses on the socio-technical dimensions of digital media, including digital methods, platform and app studies, economic sociology, valuation, quantification, metrics, data infrastructures, and sensor media. She is particularly interested in inventive methodologies for interdisciplinary media research and the politics of data practices. The most recent publications reflect a consistent engagement with digital methods, datafication, platform infrastructures, and the epistemology of digital data. Themes include app ecosystems, data literacy, interface methods, and the social life of metrics. Her work bridges media studies, sociology, and science and technology studies (STS), often employing critical and inventive methodological approaches. Scientific Awards and Recognitions: NWO Veni Grant for project 'Numbering Life. Measures and Metrics in Digital Media' Visiting Fellow at the Center for Interdisciplinary Methodologies, University of Warwick (2018) Carolin Gerlitz actively supervises BA and MA theses and leads a dynamic research team within the SFBs. She has secured competitive research grants, including the NWO Veni grant, and contributes to major collaborative projects. She is involved in curriculum development, teaching digital methods at both BA and MA levels, and advancing research through tool development in the Tool Lab. She also serves as Deputy Speaker of the Department of Media Studies. Labs and Research Teams: She leads the 'Digital Methods' team at the University of Siegen, which includes postdoctoral researchers, doctoral candidates, and research associates. The team develops digital methods tools and conducts research within the SFBs, focusing on data practices, platform studies, and inventive methodologies. The group has established a practice-based 'Digital Methods Lab' as part of the BA and MA programs.

Laura BiniView profile

Assistant Professor

• Corporate Disclosure
• International Accounting
• Financial Statement Analysis
• +3 more

Laura Bini is an Assistant Professor of Financial Accounting at the University of Florence, School of Economics and Management. She teaches courses in business administration, accounting, financial statement analysis, and business planning at both undergraduate and graduate levels. Education: PhD in Financial Accounting, Università degli Studi di Firenze (2010) Visiting Student, Manchester Business School (2009) Her research focuses on corporate disclosure, international accounting, financial statement analysis, disclosure quality, impression management, and non-financial information . She investigates how firms communicate performance metrics across Europe and the drivers behind disclosure practices, particularly in relation to regulatory and cultural differences. The recent articles reflect a consistent research trajectory centered on transparency, harmonization, and the informational value of financial and non-financial reporting. Her work spans disciplinary areas such as accounting, corporate governance, financial communication, and sustainability reporting, with strong emphasis on European contexts and cross-country comparisons. Scientific Awards and Grants: Research grant from the Institute of Chartered Accountants of Scotland (ICAS) for the project 'The informational capacity of financial performance indicators in European annual reports' Research grant (2010–2011) for the project 'The disclosure of performance indicators in European annual reports: a comparison between Anglo-Saxon and Continental countries' Laura Bini has been actively involved in funded research projects related to disclosure practices and performance indicators. While no formal advising of students is mentioned, her academic contributions include publications in journals such as Advances in Accounting , Journal of Management and Governance , and Journal of Intellectual Capital , as well as a published book. She does not appear to lead any named labs or research teams, but her work contributes significantly to the field of accounting transparency and international comparability.

• Computer Vision
• Machine Learning
• Video Analysis
• +5 more

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

Hyunseon LeeView profile

Senior Lecturer

• Film Studies
• Media Studies
• Cultural Studies
• +12 more

Hyunseon Lee is a Privatdozent in Media Studies and Modern German Literature at the Department of German, Faculty of Philosophy, University of Siegen, Germany. She also holds a position as Professorial Research Associate at the Department of East Asian Languages and Cultures and the Centre for Creative Industries, Media and Screen Studies at SOAS, University of London, and is a Professional Researcher at the Institute of Humanities, Yonsei University in Seoul. Her academic affiliations reflect a transnational and interdisciplinary profile bridging German, East Asian, and global cultural studies. PhD in Modern German Literature, University of Dortmund (with distinction) Habilitation, University of Siegen (2013) Studies at Yonsei University, Ruhr-University Bochum, and Freie Universität Berlin Her research focuses on Korean cinema, war and memory, gender, shamanism, intercultural narratives (especially the global Madame Butterfly phenomenon), and visual culture. She explores how films serve as living archives of trauma, identity, and national memory, particularly in postwar and divided societies. Her scholarship combines discourse analysis, comparative literature, and media theory. The 15 most recent publications highlight a consistent engagement with Korean war films, memory studies, intermediality (especially opera and film), exoticism, and gender. Her work spans historical analysis, festival studies, and transnational cultural flows, with a strong emphasis on South and North Korean cinema, Zainichi narratives, and the global reception of Korean films. Author of Metamorphosen der Madame Butterfly (2020) and Geständniszwang und ‘Wahrheit des Charakters’ (2000) Solo Editor of Korean Film and History (2023) and Korean Film & Festivals (2022) Co-editor of works on opera, Kurosawa, and gender in media Creator of the Korean Peninsula Cinema database (2018) Hyunseon Lee has held research fellowships at Columbia University, Seoul National University, Chuo University, and the University of London. She is actively involved in public scholarship through platforms like The Conversation and has contributed to exhibition catalogues and public lectures. She leads research on memory, war, and K-culture, with no indication of retirement or reduced activity. Her work bridges academia and public discourse, emphasizing the cultural and ethical dimensions of cinema. She is affiliated with research teams at the University of Siegen, SOAS, and Yonsei University, focusing on memory studies, East Asian screen cultures, and intercultural media. Her projects often involve international collaboration, particularly between German, British, and Korean institutions. She continues to supervise and mentor emerging scholars through collaborative publications and academic networks.

• Health Informatics
• Data Science
• Artificial Intelligence in Healthcare
• +7 more

Audrey Naledi Masizana is a Senior Lecturer in the Department of Computer Science at the University of Botswana, where she has served as Head of Department. She is currently an International Scholar with the Center for Global Health, engaged in data science training and research in healthcare. Her work is closely aligned with global health initiatives, particularly through collaborations with CHOP, the Botswana-UPenn Partnership, and the Ministry of Health in Botswana. Her research interests lie at the intersection of computer science and global health, with a strong focus on Health Informatics , Data Science , and Digital Health Solutions . She has pioneered projects in mobile health (mHealth) , healthcare data interoperability , IoT-based monitoring , and AI-driven decision support systems for HIV/AIDS care. Her leadership in the Microsoft Digital Inclusion projects and the establishment of the e-Health Research Unit in 2012 underscores her commitment to leveraging technology for public health impact. The analysis of her recent publications reveals a consistent trajectory in applying computational methods—such as clustering, simulation, and natural language processing—to real-world health challenges, especially in resource-limited settings. Her work emphasizes data usability , accessibility , and interoperability across healthcare systems in Botswana. She has not been awarded any scientific awards mentioned in the text. Audrey Naledi Masizana has led and co-led multiple research projects, including as Principal Investigator on a CHOP-collaborated study evaluating healthcare data flow in Botswana. She has not received any grants explicitly mentioned, but her project leadership indicates secured funding. She mentors students and researchers through her role in the e-Health Research Unit and her academic position, though specific advisees are not listed. She is actively involved in the e-Health Research Unit at the University of Botswana, which fosters collaboration with NGOs and government agencies. Her team works on themes including data warehousing, mining, IoT, and interoperability, aiming to improve clinical decision-making and healthcare delivery through digital innovation.

• Unsteady aerodynamics
• Flow control
• Rotary aerodynamics
• +3 more

Dr.-Ing. André Bauknecht is a Senior Scientist at the Institute of Fluid Mechanics, Technische Universität Braunschweig . He leads independent research groups within the Cluster of Excellence for Sustainable and Energy-Efficient Aviation, and collaborates with both academic and industrial partners. Research focus: unsteady aerodynamics, flow control, rotary aerodynamics, aircraft aerodynamics Key collaborations: flow control for gust/aircraft load reduction, multicopter flow field analysis Academic Background: Degree in aerospace engineering, University of Stuttgart Doctorate (2016) for helicopter rotor aerodynamics research at DLR Göttingen Postdoctoral work at Alfred Gessow Rotorcraft Center (University of Maryland) Research Trends: His recent publications (2022-2024) emphasize flow control technologies for load alleviation in fixed-wing and multicopter aircraft. Key areas include Coanda-type actuation , circulation control airfoils , and multicopter aerodynamic characterization through combined experimental and numerical methods. Technical Expertise: Specializes in blade vortex measurements (2015-2017), multi-camera BOS systems , and large-scale aerodynamic simulations . Current work integrates multifunctional leading edge devices and flow-structure deformation analysis for next-generation aircraft.

Suryanarayana SankagiriView profile

Researcher

• Discrete Choice Models
• Recommendation Systems
• Blockchain Security
• +4 more

Suryanarayana Sankagiri is a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, affiliated with the Information and Network Dynamics (INDY1) group under Professor Matthias Grossglauser. Previously, he earned his Ph.D. in Electrical & Computer Engineering (2018-2022) from the University of Illinois at Urbana-Champaign , where he was supervised by Bruce Hajek and participated in the Coordinated Science Lab . He also holds an M.S. in Electrical & Computer Engineering from the University of Illinois (2016-2018) and a B.Tech. in Electrical Engineering from the Indian Institute of Technology Bombay (2012-2016). Education : Ph.D., Electrical & Computer Engineering, University of Illinois (2018-2022) M.S., Electrical & Computer Engineering, University of Illinois (2016-2018) B.Tech., Electrical Engineering, IIT Bombay (2012-2016) Suryanarayana's research focuses on discrete choice models and their application to recommendation systems , with a particular emphasis on learning from choice data and developing novel models for human decision-making. His broader interests include blockchain security under adverse network conditions, network dynamics , probabilistic modeling , and algorithm design . Recent work explores nonconvex matrix factorization and contextual dueling bandits for recommendation systems. His publications span theoretical and applied domains, including high-impact venues like ICML , Stochastic Systems , and IEEE Transactions on Networking . Themes include blockchain efficiency , hidden community detection in preferential attachment graphs, and temporal analysis of Indian classical music. Current projects involve refining recommendation systems through sparse comparison data and designing protocols for resilient blockchain networks. Scientific Awards : zkCapital Paper of the Week (2021) Rambus Fellowship (2021) Mavis Future Faculty Fellowship (2019) List of Teachers Ranked as Excellent (2019) Nomination for IIT Bombay Undergraduate Colloquium (2016) Best Poster Award, IIT Bombay Undergraduate Research Symposium (2013) Suryanarayana has advised no students listed in the provided materials. His work has been supported by fellowships such as the Mavis Future Faculty Fellowship and Rambus Fellowship . He contributes to the INDY1 group at EPFL, which investigates information and network dynamics through interdisciplinary approaches combining probability , network theory , and algorithmic design .

André BorrmannView profile

Professor

• Artificial Intelligence
• Building Information Modeling & Processing
• Digital Twinning
• +7 more

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.

• Combustion Engineering
• Biofuels
• High-Temperature Air Combustion (HiTAC)
• +9 more

Ashwani K. Gupta is a Distinguished University Professor in the Department of Mechanical Engineering at the University of Maryland, College Park. He holds additional affiliations as Professor at the Institute of Physical Science and Technology and Affiliate Professor in the Department of Aerospace Engineering . Ph.D. (1973), D.Sc. (1986, 2013) 45+ years in combustion engineering Director of Combustion Laboratory His research spans combustion science , biofuels , high-temperature air combustion , and environmental energy systems . Key areas include distributed combustion, sulfur chemistry, CO2 utilization, and waste-to-energy conversion. His recent publications focus on thermal barrier coatings , catalytic gasification , and machine learning combustion analysis . Scientific accolades include: Fellow: AIAA, ASME, SAE, AAAS, RAeS Honorary Doctorates: University of Wisconsin-Milwaukee (2014), King Mongkut’s University (2014), University of Derby (2015) BEST PAPER AWARDS: 7 AIAA, 3 ASME ASME Soichiro Honda Medal (2018) His work on biomass-plastic synergy and supercritical CO2 extraction demonstrates practical applications in energy recovery and sustainable chemical production.

• Innovation in Creative Industries
• Entrepreneurship
• Strategy
• +9 more

Dr Marios Samdanis is a Senior Lecturer in Strategy, Entrepreneurship and International Management at Brunel Business School, Brunel University London, within the College of Business, Arts and Social Sciences. He is also the Director of the Centre for Entrepreneurship and Sustainability (CES), reflecting his leadership in academic and research initiatives. Previously, he served as a Lecturer in Digital Creativity and New Media Management at Birkbeck College, University of London, and as a Lecturer in Art Business at Sotheby’s Institute of Art, London. Research Interests: His research lies at the intersection of innovation, entrepreneurship, and organizational theory, with a focus on creative industries such as contemporary visual arts, architecture, and design. He investigates leadership, diversity, and authenticity in cultural and technological contexts, drawing on frameworks like new institutionalism and sociomateriality. His work explores how technology and institutional forces shape creative practices and entrepreneurial ecosystems. Publication Trends: His recent publications (2023–2024) show a strong focus on leadership diversity, authenticity, and institutional dynamics, particularly in unregulated or neoliberal environments. He also explores digital transformation in art markets, knowledge-based views in international business, and the sociocultural dimensions of appearance and identity. His research is interdisciplinary, blending insights from management, sociology, and cultural studies. Scientific Awards: No specific awards or fellowships were mentioned in the provided text. Advising and Grants: While no formal list of students or grants is provided, his extensive co-authorship with scholars like Prof. Mustafa Ozbilgin, Dr. Janja Tardios, and Dr. Ozlem Ayaz suggests active mentorship, collaboration, and likely involvement in funded research projects. He is also an active reviewer for journals in innovation and entrepreneurship. Labs and Research Groups: Dr Samdanis leads the Centre for Entrepreneurship and Sustainability (CES), which serves as a hub for interdisciplinary research on sustainable innovation and entrepreneurial practices within cultural and business contexts.

Jeffrey MarshallView profile

Professor

• Fluid Dynamics
• Particulate Flows
• Renewable Energy Systems
• +7 more

Jeffrey Marshall is a Professor in the Mechanical Engineering Department at the University of Vermont (UVM) and serves as the Associate Dean for Research and Graduate Education in the College of Engineering and Mathematical Sciences. He is also a Fellow of the American Society of Mechanical Engineers (ASME) , Gund Institute for Environment , and Vermont Academy of Science and Engineering (VASE) . Ph.D., University of California, Berkeley (1987) Research focuses on fluid mechanics, particulate flows, vortex dynamics, biofluids, and renewable energy systems , with applications to biofilm mitigation, solar panel particle transport, and turbulent flow modeling . He directs the Vortex and Particulate Flow Laboratory and has authored two books: Inviscid Incompressible Flow (Wiley, 2001) and Adhesive Particle Flow: A Discrete Element Approach (Cambridge, 2014). Recent research trends include stochastic vortex structures for turbulent particle transport, hybrid CFD-DEM methods for concrete flow simulation, and acoustic/ultrasound-enhanced particle diffusion in biofilms and hydrogels. His work spans biofluids, renewable energy systems, and computational fluid dynamics , with funded projects from NSF, NASA, and the Army’s Cold Regions Research and Engineering Laboratory (CRREL). Scientific Awards : Fellow, American Society of Mechanical Engineers Fellow, Gund Institute for Environment Fellow, Vermont Academy of Science and Engineering Director, UVM Smart Grid IGERT program (2012–2019) Interim Director, Vermont Space Grant (2019) Jeffrey Marshall has advised numerous PhD and MS students , including Zahra Khadem, Siavash Kasaeipour, and Ben Desroberts. His laboratory develops innovative models for particle transport in environmental and industrial systems, with patents on aeroacoustic dusters for particle removal.

Mohamed AllaliView profile

Associate Professor

• Data Engineering
• Machine Learning
• Climate Data Analysis
• +3 more

Mohamed Allali is an Associate Professor at Chapman University, affiliated with both the Fowler School of Engineering (Department of Electrical Engineering and Computer Science) and Schmid College of Science and Technology (Department of Mathematics). His research spans data engineering, machine learning, climate informatics, and mathematical education. He has contributed to constraint-based intelligent tutoring systems, data drift detection using KL divergence, and geospatial analysis for environmental monitoring. Education: University of Oklahoma (BS, MA, PhD). His recent work focuses on data distribution divergence, climate modeling for sea turtle habitats, and neural network applications in medical imaging. He has collaborated extensively on drought indices, satellite data validation, and educational technologies. His publications highlight expertise in statistical learning, computational methods, and interdisciplinary environmental applications.