جستجوی استاد راهنمای دانشگاهی

Alex Gatesمشاهده پروفایل

استادیار

• Computational Social Science
• Network Science
• Complex Systems
• +۷ مورد دیگر

Alex Gates is an Assistant Professor at the School of Data Science, University of Virginia, where he conducts research at the intersection of data science, network science, and human behavior. He joined in 2022 after serving as an Associate Research Scientist at Northeastern University's Network Science Institute and Department of Sociology. Education: Ph.D. in Informatics and Cognitive Science, Indiana University, Bloomington M.Sc. in Complex Systems Modeling, King's College London B.A. in Mathematics, Cornell University His research centers on understanding how connectivity shapes human behavior through computational and network-based approaches. He works in computational social science, leveraging large-scale data to study interdisciplinary structures, collaboration networks, and scientific innovation. His work emphasizes multi-modal scientific communication, including interactive models, videos, and data visualizations that make complex systems accessible. Award-winning data visualizations have been a hallmark of his outreach and research impact. His work has been published in top-tier journals such as Nature , Proceedings of the National Academy of Sciences (PNAS) , and The Journal of Machine Learning . Though specific articles are not listed, his research themes consistently focus on network dynamics, interdisciplinary knowledge integration, and science of science. Scientific Awards: Award-winning data visualizations He advises students in data science and network research, though no named students are listed. His work has been supported by research positions at leading institutions, and he actively contributes to public understanding of science through innovative communication. He maintains a strong online presence via his personal website, Google Scholar, ORCID, and GitHub. He is affiliated with the research team at the University of Virginia's School of Data Science, where he leads projects involving complex networks, scientific collaboration, and modeling social systems.

• Consumer Psychology
• Judgment and Decision Making
• Behavioral Pricing
• +۷ مورد دیگر

Ritesh Saini is a Professor of Marketing and the Director of PhD Programs in the College of Business at The University of Texas at Arlington. He holds a PhD from The Wharton School, University of Pennsylvania, and an MBA from IIM-Ahmedabad, reflecting a strong academic foundation in marketing and consumer behavior. His research focuses on consumer psychology, particularly in judgment and decision-making, with key interests in time-money trade-offs, behavioral pricing, risk communication, and social influence in consumption. His work integrates cognitive and emotional factors to understand consumer choices in retail and digital environments. Ritesh Saini's recent publications span top journals like the Journal of Consumer Research , Journal of Marketing , and Management Science , reflecting a consistent output in behavioral marketing and decision science. His research often examines how contextual and psychological factors—such as time of day, emotional states, and social cues—affect consumer evaluations and choices. Associate Editor, Journal of Business Research (2023–Present) Faculty Senate Member, University Committee (2024–Present) Guest Speaker, SUSTech Business School, China (2024) Public Discussant, DocNet, UT-Dallas (2024) He has advised multiple PhD students, including Sarah Lee, Shashi Minchael, Meichen Dong, and Myungjin Chung, primarily serving as a dissertation committee chair. His teaching includes courses such as Buyer Behavior, Marketing Strategy, and International Marketing across undergraduate, MBA, and doctoral programs. He is also actively involved in academic service and community engagement, contributing to the broader scholarly ecosystem.

• Proteomics
• Bioinformatics
• Quantitative Proteomics
• +۷ مورد دیگر

Hossein Valipour Kahrood is a Research Fellow at the Proteomics Platform, Monash University, actively contributing to cutting-edge research in proteomics and space biomedicine. His work is highly collaborative, involving large international consortia and interdisciplinary teams. Research Interests: His expertise spans proteomics , bioinformatics , quantitative data analysis , and spaceflight-induced physiological changes , particularly in renal systems. He applies advanced computational and experimental methods to understand complex biological systems. The recent publications indicate a strong focus on space medicine and drug mechanism studies , particularly in kidney dysfunction due to spaceflight and the molecular action of immunomodulatory drugs. His work integrates multi-omics data and leverages proximity labeling techniques for protein interaction mapping. Scientific Recognition and Impact: Research covered by 281 news outlets Referenced in 5 Wikipedia pages Discussed on social media (X, Bluesky, Reddit) and academic platforms (Mendeley) Work featured in videos and peer review sites Advising and Grants: There is no public information indicating formal student advising or independent grant leadership. His role appears to be as a key contributor within larger research teams and platforms, particularly in data analysis and experimental design within the Proteomics Platform at Monash. Labs and Teams: He is a core member of the Proteomics Platform at Monash University, working under the supervision of senior researchers such as Prof. Richard B. Schittenhelm and Dr. James R. Steele. He collaborates extensively with international teams in space biomedicine and molecular pharmacology.

Anne Marit Risum Waadeمشاهده پروفایل

دانشیار

• Television Drama
• Nordic Noir
• Transnational Television Narratives
• +۱۲ مورد دیگر

Anne Marit Risum Waade is an Associate Professor and Head of Department in the Department of Communication and Culture – Media Studies at Aarhus University, Denmark. She is actively engaged in research, teaching, and academic leadership, with a strong focus on television drama, Nordic noir, transnational narratives, and the representation of Arctic landscapes and ecological crises in media. Her research interests center on the intersection of media, culture, and geography, particularly how television constructs national and transnational identities. She explores themes such as sustainability in television production, the Anthropocene in visual culture, and the geopolitical representation of the Arctic in Nordic and European dramas. Her work often examines how landscapes function narratively and ideologically in television series, especially in the context of climate change and cultural transformation. Waade has authored or co-authored numerous publications, including recent articles and book chapters on drone usage in Danish television, the portrayal of Greenland in Borgen - Power & Glory , and multi-level governance in European crime series. Her recent work reflects a growing trend toward ecocritical and geocultural analysis of television, emphasizing sustainability, national identity, and transnational storytelling. She has participated in significant research projects such as Horizon 2020’s DETECt, AHRC TV production in Small Nations Network, and the FKK project on Danish TV series as cultural exports. These projects highlight her involvement in transnational collaborations and her contribution to understanding the global reach of small-nation media. Waade is also active in academic service, having organized workshops, delivered conference presentations, and served as a journal editor and peer reviewer. She has contributed to pedagogical innovation through the use of video essays in teaching television studies.

Paris Alexandros Lalousisمشاهده پروفایل

مدرس

• Artificial Intelligence/Machine Learning
• Translational Research
• Neuroimaging
• +۶ مورد دیگر

Dr. Paris Alexandros Lalousis is a Lecturer in Artificial Intelligence in Mental Health at King's College London's Institute of Psychiatry, Psychology & Neuroscience (IoPPN), based in the Department of Psychosis Studies. He holds a BSc (Hons) in Psychology from the University of Wales and a MSc in Brain Imaging & Cognitive Neuroscience from the University of Birmingham, followed by a joint PhD from the University of Birmingham and University of Melbourne. His research focuses on applying AI techniques to improve understanding of mental health disorders, particularly in psychosis, depression, and neurodegenerative diseases like dementia and Parkinson’s. He leads the Artificial Intelligence in Mental Health (AIM) lab, collaborating internationally to develop machine learning solutions for clinical challenges. Key achievements include NIH-funded work on psychosis prediction and contributions to transdiagnostic biomarker identification. He has won awards such as the Virtual Consultancy Challenge with the Centre for Mental Health and has engaged in public outreach through events and media, including a YouTube video on mental health research. Education: BSc Psychology (University of Wales), MSc Brain Imaging (University of Birmingham), PhD (Birmingham-Melbourne). Research interests span AI in translational psychiatry, neuroimaging, inflammation biomarkers, and youth mental health. His lab’s projects include treatment response prediction, identifying biological subtypes of mental disorders, and developing tools like the KAALI algorithm for job acceptance likelihood in mental health patients. Publications highlight work on brain aging, psychiatric diagnostic frameworks, and machine learning applications in mental health. He emphasizes translating data science into clinical practice, addressing challenges like overfitting and model validation in psychiatric research.

• Digital Photogrammetry
• Computer Vision
• Geospatial Imaging
• +۱۰ مورد دیگر

Dr. Jackson David Cothren is a Professor in the Department of Geosciences at the University of Arkansas, where he also serves as the Leica Geosystems Chair in Geospatial Imaging. He holds dual leadership roles as Director of the Center for Advanced Spatial Technologies (CAST) and the Arkansas High Performance Computing Center (HPCC). His academic affiliations are deeply rooted in geospatial science, computer vision, and high-performance computing, bridging engineering and environmental applications. Ph.D. in Geodetic Science and Surveying, The Ohio State University M.S. in Geodetic Science and Surveying, The Ohio State University B.S. in Applied Mathematics, United States Air Force Academy Dr. Cothren's research spans digital photogrammetry, computer vision, UAV-based geospatial monitoring, and spatial archaeometry. He investigates non-traditional sensor modeling, feature extraction, surface generation, and integration with enterprise geospatial systems. His work increasingly incorporates deep learning, transformer models, and AI-driven analytics for applications in renewable energy, autonomous systems, and environmental sustainability. His recent publications highlight innovations in solar PV profiling, aerial image segmentation, and fairness-aware domain adaptation. The trends in his recent scholarly output reflect a strong shift toward machine learning and AI in geospatial analysis, particularly using transformer architectures for high-resolution imaging and cross-domain adaptation. His work integrates Lidar, GPS, and InSAR for deformation monitoring and leverages HPC for large-scale data processing. Applications span archaeology, agriculture, transportation, and energy infrastructure. Dr. Cothren has received numerous competitive grants from NSF, NEH, and USDA, supporting interdisciplinary research in geospatial analytics, smart transportation, and cultural heritage. His projects emphasize data-driven decision-making, community engagement, and workforce development in geospatial technologies. Principal Investigator, NSF E-RISE Rll: Arkansas Smart Transportation Research Incubator (2025–2029) Lead, RII Track-1: DART – Data Analytics that are Robust and Trusted (NSF, 2020–2025) Director, OPEN-GATE: Expanding Geospatial Education (NSF, 2016–2020) He mentors a broad interdisciplinary team and leads collaborative research initiatives involving computer vision, environmental science, and archaeology. His labs and research centers—CAST and HPCC—serve as hubs for innovation in spatial technologies, high-performance computing, and data-intensive research across the university and beyond. These centers support large-scale projects in archaeo-geophysics, UAV monitoring, and enterprise GIS integration.

Cecilia Olssonمشاهده پروفایل

دانشیار

• Nutrition
• School Meals
• Food Security
• +۳ مورد دیگر

Cecilia Olsson is an Associate Professor and Senior Lecturer at the Department of Food, Nutrition and Culinary Science at Umeå University. Her work spans teaching, research, and PhD education, with a focus on the nutritional and social significance of food within the Swedish welfare system, particularly school meals. She supervises three PhD students and contributes to course development and thesis examination. Registered dietitian and nutritionist with over 20 years of experience Former head of department and program coordinator for the Dietitian Program Research groups: School Meals, Learning Meals, Dietary Intake Measurement Her research explores sociological and psychological aspects of food and meals, emphasizing inclusivity for neurodivergent students, dietary compliance in clinical settings, and the disconnect between policy and practice in school meal programs. She employs empathy-based methods and interdisciplinary frameworks. Recent publications analyze video consultation adoption in dietetics, gender norms in celiac disease management, and the impact of meal environments on cognitive function. Her work consistently bridges public health, educational practices, and social equity in food systems. Olsson actively collaborates on projects like 'Dietitian Online' (DiOn) and 'ProMeal' across Nordic countries, aiming to improve health outcomes through structured meal programs. She has contributed to understanding regional variations in celiac disease incidence and dietary assessment methodologies.

Birgit Lugrinمشاهده پروفایل

استاد

• Human-Computer Interaction
• Socially Interactive Agents
• Cultural Diversity in AI
• +۵ مورد دیگر

Birgit Lugrin is a Professor and Chair of Computer Science V (Socially Interactive Agents) at the University of Würzburg's Institute of Computer Science since 2024. Her interdisciplinary research bridges computer science and psychology, focusing on socially interactive agents (SIAs) for education, healthcare, and cultural understanding. She leads a lab focused on human-robot interaction, virtual agents, and bias reduction. Education: B.Sc. and M.Sc. in Computer Science from Augsburg University, followed by a Dr. rer. nat. in Human-Centered AI. Research Themes: Socially interactive agents, cultural diversity in AI, educational robotics, elderly support, and bias reduction through virtual agents. Projects: Adaptive pedagogical agents, mixed-cultural speech models, robotic concierge design, and VR interventions for racial bias. Her recent work explores AI-driven robotics for elderly engagement, empathy-building in mixed-cultural contexts, and the efficacy of virtual agents in educational and social settings. She has contributed to tools like PePUT for Pepper robotics and frameworks for ingroup bias research. Scientific Awards Victor Lesser Distinguished Dissertation Award (IFAAMAS-12) Best Paper Awards at ICMI, AAMAS, and Culture and Computing Women's Representative roles at University of Würzburg As a mentor, she advises students in socially interactive agents, co-authoring studies on topics like robotic storytelling, speech perception, and user studies. Her lab engages in field studies, partnerships with institutions like USC and NII, and multi-stakeholder design processes.

• Deep Learning
• Creative Artificial Intelligence
• Human-Computer Interaction
• +۴ مورد دیگر

Memo Akten is a researcher at Goldsmiths, University of London specializing in the application of deep learning to creative expression. He completed his doctoral thesis in 2021 titled Deep Visual Instruments: Realtime Continuous, Meaningful Human Control over Deep Neural Networks for Creative Expression , establishing his research focus on creating interactive generative systems that prioritize meaningful human control over neural networks. His work bridges computer science and artistic practice, exploring how deep learning can serve as a tool for creative expression rather than autonomous creation. Akten's research interests center on deep learning for creative applications , with specific focus on latent space navigation, real-time interactive systems, and meaningful human control over generative models. His work consistently addresses the challenge of maintaining human agency when working with increasingly autonomous AI systems, framing neural networks as instruments to be 'played' rather than tools to be 'used.' His publication record reveals a strong emphasis on practical implementations that enable artists to work with deep learning models in performative contexts. Notable works include Deep Meditations for controlled navigation of latent space and Learning to See which explores bias in neural networks through an artistic lens. These publications demonstrate his consistent approach to making complex AI techniques accessible for creative practitioners. Akten has collaborated extensively with Mick Grierson (likely his doctoral supervisor) and Rebecca Fiebrink, indicating strong connections within Goldsmiths' creative computing research ecosystem. His work has been presented at prestigious venues including SIGGRAPH, NeurIPS workshops, and specialized conferences on movement computing.

• Computational Neuroscience
• Robotics
• Machine Learning
• +۳ مورد دیگر

Florentin Wörgötter is a faculty member at the Department for Computational Neuroscience , Georg August University of Göttingen, Germany. His research bridges robotics , computational neuroscience , and machine learning , focusing on action prediction, neural networks, and human-robot interaction. Key Research Areas : Action segmentation, semantic decomposition of manipulation sequences, 3D object reconstruction, and sensor fusion for infant movement classification. Recent Trends : Combining task-dependent learning with optimal path search, using foundation models for graph-based action recognition, and improving CNN interpretability through influence functions. He collaborates extensively with researchers like Minija Tamosiunaite , Tomas Kulvicius , and Poramate Manoonpong , contributing to journals such as NeuroImage , Robotics and Autonomous Systems , and IEEE Transactions on Neural Networks . His work often integrates deep learning , semantic reasoning , and biologically inspired models for robotic applications.

• Computer Vision
• Machine Learning
• Pattern Recognition
• +۶ مورد دیگر

Xiangyang Xue is a Professor at Fudan University in Shanghai, China, with an extensive research portfolio spanning computer vision, machine learning, and artificial intelligence. His work demonstrates significant contributions to object-centric representation learning, 3D reconstruction, person re-identification, and semantic segmentation. With over two decades of publication history from 1999 to present, he maintains an active research program with numerous collaborations, particularly with researchers like Yanwei Fu, Bin Li, and Yu-Gang Jiang. Professor Xue's research interests focus on advancing computer vision through innovative approaches to object-centric representation learning, 3D scene understanding, and multi-modal learning. His recent work explores the integration of large vision-language models with 3D understanding, diffusion models for data synthesis, and brain-inspired approaches to robotic scene understanding. His research bridges theoretical advances with practical applications in robotics, autonomous systems, and security. Analysis of his recent publications (2023-2026) reveals a strong trend toward multi-modal learning, with increasing integration of vision-language models, 3D understanding, and diffusion-based generation techniques. His work shows a progression from traditional computer vision problems toward more complex, embodied AI challenges that require understanding of both visual scenes and their semantic interpretations. Key themes include object-centric representations, cross-modal alignment, and the application of these techniques to robotics and security domains. Professor Xue has mentored numerous researchers through collaborative projects, with extensive co-authorship indicating a strong advising presence. His work spans multiple funding areas including NSF-supported research in computer vision, AI security, and robotics applications. His publications appear consistently in top venues including CVPR, ICCV, ECCV, AAAI, and IEEE TPAMI. His research group appears to focus on computer vision and machine learning, with particular emphasis on object-centric scene understanding, 3D reconstruction, and person re-identification systems. The team works at the intersection of theoretical computer vision and practical applications, with projects spanning autonomous driving, robotics, security systems, and human-computer interaction. Recent work suggests active exploration of large vision-language models and their integration with 3D scene understanding.

Caleb Kellyمشاهده پروفایل

دانشیار

• Sound Studies
• Sound Art
• Media Art
• +۷ مورد دیگر

Caleb Kelly is an Associate Professor in the Faculty of Arts, Design and Architecture at the University of New South Wales (UNSW). His research focuses on sound in the fields of media arts, gallery arts, and music, leading to a rethinking of how art is listened to, historically and in contemporary practice. Kelly coordinates the research group Sound, Energies and Environments (SEE), which explores the intersection of sound, energy, and environmental concerns in contemporary art practices. His educational background includes: Bachelor of Arts in Art History & Philosophy from the University of Otago, New Zealand (1993) Master of Arts (Hons) in Art History from the University of Auckland, New Zealand (1996) Doctor of Philosophy in Creative Communications from the University of Canberra, Australia (2007) Kelly's research centers on sound studies , particularly examining the role of sound in contemporary art and gallery contexts. His work explores cracked media (the sound of malfunction), imperfection in experimental instruments , and feedback systems in artistic practice. He investigates how sound functions within visual art spaces, challenging traditional distinctions between visual and auditory experience. His research has led to significant contributions in understanding gallery sound , audio installations , and the materiality of sound in contemporary art. Kelly's approach combines art historical analysis with practical experimentation, often working directly with artists to understand the technical and conceptual dimensions of sound-based art. Kelly's publications reveal a consistent focus on the intersection of sound, media, and contemporary art practices. His work traces the historical development of sound art exhibitions while simultaneously exploring cutting-edge sonic art practices. A notable trend is his sustained interest in imperfection, malfunction, and error as creative forces within media art. His research spans from historical examinations of sound art exhibitions to contemporary investigations of ecological concerns in media practices. Kelly's writing frequently addresses the material dimensions of sound, examining how physical substances and technological systems shape auditory experiences in gallery settings. Among his notable recognitions: Edgard Varèse Guest Professor at the Technische Universität Berlin (2015) Kelly has supervised numerous doctoral and master's students working at the intersection of sound, art, and technology. His current and completed students have explored diverse topics including cello performance with long-throw speakers, improvisational feedback systems, underwater sound experiences, electro-acoustic feedback, neural networks in music, sound surveillance, ecological sound practices, video feedback art, electromagnetic constellations in radio, and organizational structures in experimental music. His supervision emphasizes practice-based research, encouraging students to develop both theoretical frameworks and creative outputs. While specific grant information isn't detailed in the provided text, his research activities suggest involvement in substantial funding projects supporting his publications, exhibitions, and research group activities. Kelly coordinates the research group Sound, Energies and Environments (SEE), which serves as a hub for interdisciplinary research on sound in contemporary art. The group brings together artists, curators, and scholars to explore how sound functions within gallery contexts and beyond. SEE has facilitated numerous exhibitions, publications, and collaborative projects examining the relationship between sound, energy systems, and environmental concerns. The group's work has contributed significantly to the field of sound studies, particularly in understanding how sound operates within institutional art spaces.

• Physics Education
• Inclusive Science Education
• Digital Media in Education
• +۳ مورد دیگر

Prof. Dr. Lisa Stinken-Rösner is a prominent physicist and educator at the Faculty of Physics, Bielefeld University . With extensive experience across Germany and international institutions like California Science Center and Leuphana University, she specializes in physics education and inclusive science teaching . Her work bridges digital media with experimental physics to enhance both student and teacher competencies. Current Professor for Physics and its Didactics at Bielefeld University (since 2023) Former Research Associate at Leuphana University (2018–2022) Key projects: LFB-Labs-digital (teacher training in digital labs), VidEX (video-based experiments) Lisa's research focuses on: Inclusive science education strategies for diverse learners Digital learning tools including interactive videos and virtual labs Experimental skill development through innovative pedagogies Physics identity formation in educational contexts Her 15 most recent publications (2023–2025) span topics from: Digital gamification in science classrooms Inclusive pedagogy frameworks Experimental video methodologies Physics identity development Teacher training in digital environments Contextual physics instruction She coordinates multiple modules including: 28-FD Subject Didactics 80-SU-MA Master's thesis 80-SU-BA Bachelor's thesis

• Urology
• Endourology
• Urological Surgery
• +۵ مورد دیگر

Mümtaz Dadalı is an Associate Professor (Doçent) in the Department of Surgical Medical Sciences at the Faculty of Medicine, Kırşehir Ahi Evran University, Turkey. Specializing in Urology, he has been actively contributing to academic medicine since 2012 when he joined as a Doctoral Academician, advancing to Associate Professor in 2023. His clinical and research work focuses on endourology, urological surgery, and medical ethics. Dr. Dadalı completed his medical education at Gazi University Faculty of Medicine (1991-1997), followed by specialization training at Ankara Training and Research Hospital (2001-2006). He further expanded his expertise by earning a PhD in Medical Ethics and History from Hacettepe University Institute of Health Sciences in 2019. His research interests span multiple areas of urology including endourology, kidney stone management, genitourinary trauma, sexual function disorders, and male infertility. Dr. Dadalı has made significant contributions to understanding retrograde intrarenal surgery outcomes, obturator nerve block techniques for bladder tumor surgeries, and the expression of biomarkers in prostate conditions. His work bridges clinical practice with academic research, particularly in developing improved surgical techniques and understanding treatment outcomes. Dr. Dadalı's scientific contributions include over 80 publications with significant citation impact (h-index of 6). His recent work shows a strong focus on endourological procedures, surgical techniques for urinary incontinence, and the impact of the COVID-19 pandemic on urological research and practice. He has been particularly active in comparative studies of different lithotripsy techniques and surgical approaches for urological conditions. Second place award in video presentation category at the 3rd National Urological Surgery Congress (2016) Dr. Dadalı has supervised at least one PhD student (Ramazan Samet Çetinkaya) and has been involved in multiple research projects, including current studies on androgen receptor polymorphisms in hypospadias patients and microbial communities in kidney stones. He serves on the Clinical Research Ethics Committee at Kırşehir Ahi Evran University and has previously held positions on the Faculty Management Board and Faculty Board. As an active member of multiple professional organizations including the Endourology Association, Urological Surgery Association, Child Urology Association, European Urology Association, and Turkish Urology Association, Dr. Dadalı maintains strong connections with the international urology community.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

David Martins de Matos is an Associate Professor at Instituto Superior Técnico (IST), Universidade de Lisboa , and a senior researcher at INESC-ID Lisbon within the Human Language Technology Lab . With a career spanning over three decades, he has taught subjects such as Compilers and Object-Oriented Programming since 1993. His research focuses on Natural Language Engineering , Automatic Natural Language Generation , Music Information Retrieval , and Machine Learning Applications in Healthcare . Education: B.Sc. in Electrical and Computer Engineering (IST, 1990) M.Sc. in Electrical and Computer Engineering (IST, 1995) on object-oriented programming in distributed systems Ph.D. in Systems and Computer Science (IST, 2005) on automatic natural language generation Research Interests: His work bridges Natural Language Processing and Computational Music Analysis , with applications in Health Informatics . He investigates semantic frame induction, dialog act recognition, and multimodal systems for chronic pain assessment, Alzheimer's detection, and music generation. His recent articles explore cross-modal retrieval, deep learning for pain narratives, and embodied semantics via fMRI. Scientific Contributions: He has published over 161 works, including 15 recent articles on chronic pain datasets, dialog act recognition, and music-language correlations. His awards include Senior Member status in ACM (SIGMM, SIGIR) and IEEE (Signal Processing Society, Computer Society) , and membership in the Order of Portuguese Engineers . Advising & Collaborations: He has supervised 111 doctoral and master's theses, mentoring students in topics like Visual Story Generation , Music Summarization , and Health Informatics . He collaborates with institutions such as IBM Research , Northwestern University's Feinberg School , and Universidade de Lisboa .