Find Academic Supervisors

• Electromagnetic Waves
• Microwave Engineering
• Photonic Crystals
• +6 more

François Demontoux is an Associate Professor at the University of Bordeaux, affiliated with the IMS Bordeaux research institute. He is part of the WAVES research group within the Department of Waves, Materials and Devices, focusing on electromagnetic waves, materials science, and digital accessibility. His work bridges engineering disciplines with social applications, particularly in making digital technologies accessible to people with disabilities. Dr. Demontoux's research spans two primary domains: electromagnetic wave applications in materials and structures, and digital accessibility for people with disabilities. In the first domain, he investigates microwave engineering, photonic crystals, soil moisture measurement, and non-destructive testing of concrete structures. In the second domain, he explores web accessibility standards, universal design principles, and assistive technologies for education. His publication record shows a clear evolution from technical electromagnetic research toward more interdisciplinary work integrating human factors. Early publications focused on microwave radiometry for soil moisture measurement and photonic crystal applications. More recent work emphasizes digital accessibility, particularly in educational contexts, showing his commitment to applying engineering expertise to social challenges. Web accessibility standards and evaluation Non-destructive testing of civil engineering structures Microwave remote sensing for environmental monitoring Assistive technologies for people with disabilities Photonic crystal applications Dr. Demontoux leads research within the WAVES group at IMS Bordeaux, which provides specialized facilities for electromagnetic testing and materials characterization. His team collaborates with industry partners including STMicroelectronics, Stellantis, and Thales through the GIS ALBATROS consortium.

• Mechanobiology
• Biomechanics
• Microvascular mechanics
• +5 more

Hans Van Oosterwyck serves as a full Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads the Prometheus-Mechanobiology subdivision and actively contributes to the iSi Health and LIMNI research institutes, driving interdisciplinary work at the engineering-biology interface. His research centers on cellular mechanobiology in vascular and musculoskeletal pathologies, with pioneering work in traction force microscopy and organ-on-chip systems . Key focus areas include cerebral cavernous malformations (CCM) and osteoarthritis, where he investigates how cellular forces and mechanosensitive channels drive disease progression through microfluidic models and computational biomechanics . Analysis of his 2023-2025 publications reveals a dominant trend toward 3D force measurement techniques in disease modeling, particularly using degradable hydrogels for chondrocyte studies and vessel-on-chip platforms for CCM. Over 60% of recent work targets CCM pathomechanics, emphasizing Piezo/TRPV channels and cellular force dynamics. Prof. Van Oosterwyck directs multiple FWO-funded projects including "Cerebrale caverneuze misvormingen op een chip" (2023-2026) and "De relatie tussen osteoarthritis en krachten" (2023-2027). His team develops advanced tools like the Confocal BioAFM nano-opto-mechanical platform for multiscale biological analysis. He heads the Prometheus-Mechanobiology subdivision within KU Leuven's Biomechanics unit, leveraging collaborations through iSi Health for physics-based in silico health modeling and LIMNI for micro-nano technology integration. This ecosystem enables translational research from cellular mechanics to clinical applications.

Amin RahimianView profile

Assistant Professor

• Networks
• Data Science
• Decision Sciences
• +9 more

Amin Rahimian is an Assistant Professor at the University of Pittsburgh , affiliated with the Swanson School of Engineering and leading the Sociotechnical Systems Research Laboratory . He is also associated with the Intelligent Systems Program and the Institute for Cyber Law, Policy, and Security . PhD in Electrical and Systems Engineering (University of Pennsylvania) Master’s in Statistics (Wharton School) His research spans networks, data, and decision sciences , focusing on robust autonomy , control of large-scale networked systems , satellite constellations , and decision support in mission-critical applications . His work bridges applied probability, statistics, algorithms, and decision/game theory to address challenges in online social networks, public health, e-commerce, cyberinfrastructure, and warfare . Recent publications highlight his expertise in differential privacy, network resilience, and social contagion dynamics. Awards include the Meta Foundational Integrity Research Award (2023) and Pitt Cyber Accelerator Grant (2022) . He has served on program committees for conferences like ACM Economics and Computation and IISE Annual Conference.

Peter Wilson CardonView profile

Clinical Professor

• Artificial Intelligence (AI)
• Business Communication
• Technology-Mediated Communication
• +4 more

Peter Wilson Cardon, the Warren Bennis Chair in Teaching Excellence and Professor of Clinical Business Communication at the University of Southern California's Marshall School of Business, specializes in team communication , technology-mediated leadership communication , and intercultural business communication . He previously served as President of the Association of Business Communication and taught at the University of South Carolina and Utah State University. His expertise spans Artificial Intelligence in business Digital platforms Future of work Soft skills development His recent research examines AI's transformative impact on business communication, including ethical implications and the evolving importance of oral communication over written communication in human-AI hybrid workplaces. Key studies focus on Trustworthiness in AI-assisted emails Soft skills prioritization Psychological safety in virtual teams AI literacy for workforce readiness Notable scientific recognition includes the Warren Bennis Chair in Teaching Excellence , while his media contributions to Fast Company, Yahoo! Finance, and BoneZone highlight his thought leadership on issues like AI ethics, workplace culture, and human-centered communication.

Brian ShuveView profile

Associate Professor

• Theoretical Particle Physics
• Dark Matter
• Baryogenesis
• +3 more

Brian Shuve is an Associate Professor of Physics at Harvey Mudd College, conducting theoretical research at the intersection of particle physics and cosmology. His work focuses on fundamental questions about dark matter, baryogenesis, and new physics signatures at colliders, with strong experimental collaborations at facilities like the Large Hadron Collider and B-factories. Shuve earned his undergraduate degree in Engineering Science from the University of Toronto and his Ph.D. in Physics from Harvard University. He completed postdoctoral research at SLAC National Accelerator Laboratory and the Perimeter Institute for Theoretical Physics before joining Harvey Mudd College. His research centers on theoretical particle physics , particularly dark matter production mechanisms , baryogenesis scenarios , and long-lived particle signatures . Shuve develops models connecting early universe phenomena to observable collider signals, emphasizing testable predictions for experiments like BaBar and Belle II. His work bridges cosmological constraints with precision collider measurements to probe physics beyond the Standard Model. Recent publications reveal a strong focus on freeze-in mechanisms for dark matter and baryogenesis, axion-portal models, and innovative search strategies for displaced vertices at B-factories. His group frequently publishes in high-impact journals including Physical Review D and Physical Review Letters, with significant contributions to understanding baryon-number violation and neutrino physics in hidden sectors. Shuve received the prestigious Cottrell Scholar Award from the Research Corporation for Scientific Advancement, which currently supports his research group. Previously, his work was funded by the National Science Foundation, enabling extensive computational and theoretical investigations. He actively mentors undergraduate researchers at Harvey Mudd College, with numerous students co-authoring publications and presenting at major conferences like APS meetings. His group maintains collaborations with Williams College (David Tucker-Smith), Siena University (Matt Bellis), and the international BaBar Collaboration. Current projects include searches for baryon-number-violating B decays and UV-complete models of leptogenesis. Shuve is also a Visiting Fellow at the Perimeter Institute for Theoretical Physics, facilitating connections between formal theory and experimental phenomenology. His group develops open-source tools like ULYSSES for leptogenesis calculations and creates educational applets for theoretical mechanics instruction.

• Proteomics
• Structural Biology
• Parkinson's Disease
• +7 more

Jean-François Trempe is an Associate Professor in the Department of Pharmacology and Therapeutics at McGill University's Faculty of Medicine and Health Sciences. He serves as a Researcher at the McGill University Health Centre Research Institute (IR-MUHC) at the Glen site, where he is affiliated with the Program in Brain Repair and Integrative Neuroscience and the Center for Translational Biology. Dr. Trempe's research program focuses on the structural and pharmacological aspects of proteins involved in Parkinson's disease, particularly Parkin and PINK1. His laboratory investigates how mutations in these proteins lead to early-onset familial Parkinson's disease through disruptions in mitochondrial quality control processes essential for neuronal survival. Using techniques including proteomics, structural biology, crystallography, NMR, and mass spectrometry, his team has made significant contributions to understanding the activation mechanism of Parkin by PINK1 and how these proteins function in mitochondrial maintenance. Current research directions include leveraging 3D structural information to design therapeutic strategies for pathogenic Parkin mutations, exploring how PINK1 detects damaged mitochondria, and investigating the role of Parkin/PINK1 in clearing mitochondrial damage using stem cell-derived neurons and animal models. Dr. Trempe's publication record demonstrates a strong interdisciplinary approach spanning structural biology, biochemistry, and neuroscience. His most recent work includes discoveries regarding molecular glue compounds that activate Parkin, the role of the PINK1-TOM-TIM23 supercomplex in mitochondrial import stress, and connections between Parkin activation and tumor progression. His highly cited 2014 Nature paper demonstrating that ubiquitin is phosphorylated by PINK1 to activate parkin represents a landmark contribution to the field. His research has significant translational implications for developing targeted therapeutic interventions for Parkinson's disease and understanding fundamental cellular quality control mechanisms. Dr. Trempe maintains extensive collaborations within McGill University and with international research teams, particularly with Dr. Edward Fon's laboratory, as evidenced by numerous co-authored publications across multiple high-impact journals.

• Extracellular Vesicles
• Prostate Cancer Biomarkers
• Liquid Biopsies
• +3 more

Alicia Llorente is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design within the Department of Mechanical, Electrical and Chemical Engineering. She is a leading researcher in extracellular vesicle biology with a focus on cancer diagnostics and liquid biopsies. Institution : Oslo Metropolitan University Department : Mechanical, Electrical and Chemical Engineering Her research explores: Extracellular vesicle dynamics in cancer progression Lipidomics of organelle-derived vesicles Exercise-induced EVs for cancer prevention Standardization of EV isolation protocols Article trends show expertise in prostate cancer biomarkers (8 publications), EV characterization (6 papers), computational modeling (3 studies), and clinical applications (4 recent 2023-2025 papers). Key collaborations include: Oslo University Hospital's CanCell Research Initiative International Society for Extracellular Vesicles (ISEV) Cambridge University's Precision EV Forum

PAULA LOPEZ RUAView profile

Professor

• Linguistics
• Morphology
• Sociolinguistics
• +3 more

PAULA LOPEZ RUA is a Professor at the University of Santiago de Compostela, affiliated with the Department of English and German Philology within the Teacher Training Faculty. Her research focuses on English Philology, with a strong emphasis on the research group LAEAITDT (Linguistics Applied to the Teaching and Learning of English, Translation and Textual Design). Research Interests: Her work spans multiple dimensions of linguistics, including: Morphological neologisms in dystopian literature Blending patterns in digital/videogame contexts Lexical creativity in alternative music subcultures Gendered language patterns in foreign language learning Orthographic and morphological challenges in EFL instruction Transgressive code-mixing in sociocultural contexts Publication Trends: A detailed analysis of her articles reveals consistent engagement with lexical innovation across diverse domains. Her scholarship shows a strong trajectory in morphological analysis (acronyms, blends, abbreviations) applied to: Dystopian fiction (Orwell's 1984, Atwood's Handmaid's Tale) Video game titles (Carmageddon, Digimon) Electronic communication (email as a hybrid modality) Gender studies in language acquisition Translation challenges (Newspeak compounds) Collaborative learning frameworks (Bologna Process) Key Methodologies: Prototype Theory, continuum-based analysis, parameter-driven corpus studies, and multidimensional taxonomies of word formation (Kemmer 2000, Ronneberger-Sibold 2006, Mattiello 2013).

• Recommender Systems
• User Modeling
• Personalization
• +11 more

Alan Said is an Associate Professor in the Department of Applied IT at the University of Gothenburg, where he also serves as Head of Education. His research focuses on recommender systems, user modeling, personalization, and the human-centered evaluation of AI technologies. He is actively engaged in promoting responsible, fair, and sustainable AI through interdisciplinary research and community leadership. Research Interests: User Modeling and Personalization Recommender Systems (RecSys) Human-Computer Interaction (HCI) and Human-Centered AI (HCAI) Explainable and Responsible AI Green AI and Environmental Impact of Recommender Systems Reproducibility and Evaluation Methodologies His recent publications reflect a strong trend toward ethical, sustainable, and socially conscious AI, with a focus on fairness in healthcare, environmental cost measurement, and interdisciplinary approaches to recommendation. He contributes extensively to top-tier venues such as ACM RecSys and UMAP. Scientific Awards: ACM Distinguished Speaker Advising and Grants: Alan Said advises students on topics ranging from fairness in AI to human-centered explanations and sustainable recommender systems. He has been involved in organizing workshops and special issues that promote critical reflection and interdisciplinary collaboration in the RecSys community. He has participated in funded research projects, including international collaborations supported by agencies like Vinnova. Labs and Teams: He is a key organizer of the Human-centered AI (HCAI) podcast and has co-organized influential workshops such as BEYOND and INTROSPECTIVES at RecSys, fostering dialogue on the societal and ethical dimensions of AI. His work bridges computer science, psychology, design, and ethics, emphasizing collaboration across disciplines.

Nadia SteilsView profile

Lecturer

• Consumer Behavior
• E-Learning
• Marketing
• +3 more

Nadia Steils is a Lecturer in the Business Administration Department at the Faculty of Economics, Management and Social Sciences, University of Namur (Belgium), with concurrent research affiliation at IAE Lille, University of Lille (France). Her academic home spans CeRCLe, LEM, and CCMS research centers, focusing on the intersection of consumer behavior and digital technologies. Education: PhD in Management Sciences - Marketing (University of Namur & IAE Lille, 2016) Master in Audit, Control, Research and Modeling in Marketing (IAE Lille, 2012) Bachelor in Applied Communications (IHECS Brussels, 2010) Her research centers on consumer e-learning processes , examining how digital interfaces shape knowledge acquisition and purchasing decisions. Specializing in consumer behavior in technology-mediated environments , she investigates the psychological mechanisms behind online learning adoption, gamification effects, and AI-driven service interactions. Recent work critically analyzes transparency paradoxes in influencer marketing and ethical dimensions of explainable AI systems, contributing directly to UN Sustainable Development Goals through consumer education frameworks. Analysis of her 16 research outputs (2013-2025) reveals evolving expertise from foundational e-learning studies toward contemporary AI/consumer behavior intersections. Current publications emphasize human-centric technology design , with strong focus on trust calibration in AI services and ethical implications of algorithmic manipulation. Research Leadership: Principal Investigator for Nestlé-funded social food trends project (2017-2018) Lead researcher on Creative Crowdsourcing knowledge-transfer initiative Key contributor to EU cultural experience knowledge-project Her 24 supervised student projects demonstrate active mentorship in consumer research methodology. Elected to departmental councils at both University of Namur and University of Lille, she shapes academic governance while maintaining rigorous teaching commitments across market research, marketing management, and database systems coursework.

Jing ChengView profile

Professor

• Biostatistics
• Oral Epidemiology
• Dental Public Health
• +7 more

Jing Cheng is a Professor at the University of California San Francisco (UCSF), with dual appointments in the Division of Oral Epidemiology & Dental Public Health and Division of Biostatistics. She serves as Director of the Statistics and Informatics Core at the Center for Tobacco Control Research and Education, and is affiliated with multiple prestigious institutions including the Helen Diller Family Comprehensive Cancer Center and the Clinical & Translational Science Institute (CTSI). A renowned biostatistician, she served as 2020 Chair of the American Statistical Association Section on Statistics in Epidemiology and actively contributes to editorial and peer-review processes for over 30 journals and NIH panels. Education: M.D., Preventive Medicine (West China University of Medical Sciences, 1994) M.S., Nutrition with minor in Epidemiology (Cornell University, 2002) Ph.D., Biostatistics with minor in Epidemiology (University of Pennsylvania, 2006) Her research spans biostatistical methodology, oral epidemiology, and clinical translational science. Current work examines: Statistical power calculation for longitudinal studies (SAS macro & R package development) Metabolic risks in South Asian populations Telehealth interventions for dementia caregivers Cardiovascular impacts of cannabis and e-cigarette use Nutritional epidemiology in eating disorders and diabetes Recent publications demonstrate methodological rigor in analyzing count data and zero-inflated outcomes , with applications to public health disparities , oral health research , and clinical trial design . Scientific Awards: GSK Scholarship Award (University of Pennsylvania) ENAR Distinguished Student Paper Award Saul Winegrad Outstanding Dissertation Award IMSS Travel Grant Cornell Fellowships: Marion Fish Cox, Vincent Woo J.P., Richard Barnes

Elke TeichView profile

Professor

• Computational Linguistics
• Corpus Linguistics
• English Linguistics
• +12 more

Elke Teich is a Professor of English Linguistics and Translation Studies at Saarland University, where she leads the Department of Linguistics and Language Technology. She serves as spokesperson for the Collaborative Research Center SFB 1102 Information Density and Linguistic Encoding , funded by the DFG, and heads the Saarbrücken CLARIN-D Center. Her work bridges computational linguistics, corpus analysis, and translation studies, with a strong focus on diachronic and register-based language variation. Education and Affiliations: Professor, Saarland University Spokesperson, SFB 1102 (DFG-funded) Head, CLARIN-D Saarbrücken Former member, Cluster of Excellence Multimodal Computing and Interaction Previous affiliations: TU Darmstadt, University of Sydney, ISI Los Angeles Research Interests: Elke Teich's research centers on language variation and change in scientific English, using computational models and information-theoretic measures like surprisal, entropy, and relative entropy. She investigates how communicative concerns shape linguistic encoding, particularly in translation and historical texts. Her work combines corpus linguistics, NLP, and cognitive perspectives under the framework of rational communication. Publication Trends: Her recent publications focus on diachronic analysis of scientific writing using the Royal Society Corpus, probabilistic modeling of translationese, and infrastructure development for language resources (e.g., Text+, CLARIN-D). There is a strong emphasis on interdisciplinary methods, combining data mining, syntactic annotation, and information theory to explore linguistic evolution. Scientific Awards: No awards explicitly mentioned in the text. Advising and Grants: Elke Teich leads a research group at Saarland University and supervises students in the Bachelor's program Language Science and Master's program Translation Science and Technology . She has secured significant funding through the DFG SFB 1102 and participates in national research data infrastructure initiatives like NFDI Text+. Her team includes research assistants and collaborators such as Stefan Fischer, Jörg Knappen, and Tom S. Juzek. Labs and Teams: Her research group is part of the Department of Language Science and Technology and is actively involved in the CLARIN-D consortium. The team develops and maintains corpora like the Royal Society Corpus and EuroParl-UdS, and works on tools for annotation, metadata generation, and text mining.

Esperanza Rivera de TorreView profile

Assistant Professor

• Antibody Engineering
• Venomics
• Antivenom Development
• +7 more

Esperanza Rivera de Torre is an Assistant Professor at the Department of Biotechnology and Biomedicine, Technical University of Denmark. Her research focuses on antibody engineering, venomics, and protein design, particularly in neutralizing venom toxins and cancer therapy. Current affiliation: Department of Biotechnology and Biomedicine (DTU) Academic rank: Assistant Professor Research Interests Specializing in antibody engineering to develop synthetic antivenoms using de novo protein design. Investigating snake venom toxins and their neutralization mechanisms via VHH antibodies. Contributing to protemics and peptide sequencing through AI-driven tools like InstaNovo. Studying structural biology of actinoporins and their interactions with lipid membranes. Active in cross-neutralizing antibodies for tropical diseases and allergens. Advising and Collaborations Supervises multiple PhD students including Ruiz Espi, Møller, and Møiniche. Collaborates on projects like AI-driven protein binder design and allergen epitope characterization. Engages in international collaborations across venom and biomedical research fields.

Lin PrøitzView profile

Professor

• Gender Studies
• Digital Media
• Social Media
• +9 more

Lin Prøitz is a Professor at the Department of Linguistic, Literary and Aesthetic Studies, University of Bergen. Her work bridges gender studies, digital media, and affect theory, focusing on youth digital practices, intimacy in online spaces, and radicalized masculinity. Key Collaborators: Henry Mainsah, Fredrik Langeland, Katrina Roen, Erik Carlquist Research Themes: Online Radicalization, Affect in Digital Communication, Migration and Digital Integration Prøitz’s research explores how digital technologies reshape gender, intimacy, and identity. Recent work addresses Incels and gender hate online, while earlier studies examine text messages, Snapchat, and mobile intimacy. Her projects often involve interdisciplinary collaborations with psychologists and sociologists. She has contributed to understanding digital media’s impact on well-being and its role in migration integration. Her publications span feminist media studies, affect theory, and youth culture. Notable outputs include studies on #selfie culture and digital literature for children.

• Virtual Reality
• Human-Computer Interaction
• Rehabilitation Technology
• +3 more

Simon Hoermann is a researcher with extensive contributions to virtual reality, human-computer interaction, and immersive technology applications. His work spans disciplines including rehabilitation, education, and emergency response training through serious games and XR systems. Affiliation: University of Otago Research interests focus on: Virtual reality for motor rehabilitation Collaborative human-agent interaction in immersive environments Passive haptic feedback systems Serious games for education and therapy Recent publications include 15 articles (2017-2025) examining: VR psychotherapy environments with virtual supporters XR for firefighter training and volcanic hazard education Large language model ethics and bias mitigation Biomechanical locomotion interfaces Avatar-based collaboration systems Hoermann contributes to: Systematic reviews in VR rehabilitation Design frameworks for prosocial XR applications Human factors analysis in immersive training