جستجوی استاد راهنمای دانشگاهی

• Mental Health Policy
• Implementation Science
• Health Equity
• +۳ مورد دیگر

Briana Last is an Assistant Professor in the Department of Psychology at Stony Brook University, specializing in Clinical Psychology. She holds a PhD from the University of Pennsylvania (2022) and focuses on improving mental health service accessibility and quality through interdisciplinary research. Her research emphasizes three core domains: social determinants of mental health, implementation strategies for service improvement, and structural factors influencing clinician decision-making. She employs mixed methods and community-based participatory approaches, prioritizing marginalized populations affected by systemic inequities. Key interests include behavioral health workforce development, policy analysis, and dismantling barriers to equitable mental healthcare. Her lab, the Mental Healthcare for All Lab, collaborates with governments, agencies, and clinicians to translate research into actionable policies. Notable projects address clinician burnout interventions, public mental health system gaps, and anti-transgender policy impacts. Recent work critiques scientifically unfounded bans on gender-affirming care and evaluates federal loan repayment programs for mental health workforce retention. Publications span topics like AI chatbots in mental health, state policy effects on LGBTQ+ populations, and trauma therapy implementation. Her work highlights how clinician work conditions directly shape patient care quality, advocating for systemic changes to enhance both provider well-being and patient outcomes.

Ronald Heddenمشاهده پروفایل

استاد

• Chemical Engineering
• Polymer Science
• Nanomaterials
• +۳ مورد دیگر

Ronald Hedden is a Professor of Practice in the Department of Chemical and Biological Engineering at Rensselaer Polytechnic Institute (RPI), where he focuses on innovations in undergraduate education and polymer science. Previously, he served as an Associate Professor at Texas Tech University (2009–2017). His current research emphasizes Virtual Reality (VR) integration into chemical engineering education, including the development of a Virtual Chemical Plant (VCP) simulation to provide safe, cost-effective access to process equipment. His research interests span chemical engineering, polymer science, soft materials, and nanomaterials. Notable projects include applying VR for teaching process safety and dynamics, as well as exploring nanocomposite materials and membrane technologies. He also investigates polymer rheology and structure-property relationships using advanced characterization techniques like NMR and SANS. Hedden teaches both core chemical engineering courses and interdisciplinary engineering subjects. His work bridges academic research and practical applications, with contributions to biofuel refining, asphalt modification, and nanoparticle incorporation in polymers. While no specific awards are listed, his extensive publication record highlights impactful contributions to materials science and educational technology. His advisory work involves student projects on VR simulations and materials engineering. He collaborates on initiatives like the VCP platform, aimed at advancing safety training and process control education. Hedden’s career reflects a commitment to both cutting-edge research and transformative pedagogy in engineering education.

• Mathematical Biology
• Cancer Evolution
• Computational Biology
• +۴ مورد دیگر

Dr. Calum Gabbutt is a Chapman-Schmidt AI in Science Postdoctoral Research Fellow at Imperial College London's Department of Mathematics (Faculty of Natural Sciences) and a Postdoctoral Training Fellow at the Institute of Cancer Research (ICR), London. He holds a PhD in Mathematical Biology from Queen Mary University of London (2017–2021) and an MPhys from the University of Oxford (2013–2017). His research focuses on mathematical and computational methods to understand clonal dynamics and cancer evolution, particularly leveraging genomic and lineage tracing data. He develops Bayesian inference models to analyze evolutionary processes in cancer, aiming to improve clinical outcomes through precision medicine. Key areas include genetic barcoding, methylation-based molecular clocks, and phylogenetic reconstruction of tumor evolution. Recent work spans large-scale genomic analyses of cancer evolution, computational tools like PISCA-box for somatic chromosomal alterations, and studies on phenotypic plasticity in metastasis and therapy resistance. His research integrates AI-driven approaches to decode cancer heterogeneity and temporal dynamics in human tissues. Collaborations span institutions like the ICR and Queen Mary University of London, emphasizing interdisciplinary methods at the intersection of mathematics, computational biology, and oncology.

Jian Zhaoمشاهده پروفایل

دانشیار

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +۶ مورد دیگر

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

• Developmental Psychology
• Educational Psychology
• Early Childhood Education
• +۴ مورد دیگر

Dr Justine Howard is an Associate Professor in Education and Childhood Studies at Swansea University's Faculty of Humanities and Social Sciences. She holds Chartered Psychologist status and is an Associate Fellow of the British Psychological Society. Her research focuses on developmental psychology, educational psychology, and the role of play in early childhood development. With over 15 years of experience in higher education, she teaches and supervises PhD students in education-related topics. Her work emphasizes play-based learning, therapeutic play, and inclusive education. Notable contributions include publications on play's developmental benefits, teacher perspectives, and the implementation of play curricula. She has presented globally on topics like play advocacy and child well-being in crisis contexts. Awards include recognition from the British Psychological Society. Current PhD supervision includes projects on social justice in Bangladesh, music education impacts, and therapeutic play in healthcare settings. Howard's research spans international collaborations and policy engagement, such as advising on Welsh educational initiatives.

Mahadev Satyanarayananمشاهده پروفایل

استاد

• Mobile and Pervasive Computing
• Distributed Systems
• Security and Privacy
• +۲ مورد دیگر

Mahadev Satyanarayanan is the Jaime Carbonell University Professor of Computer Science at Carnegie Mellon University. His multi-decade research focuses on performance, scalability, availability, and trust in distributed systems spanning cloud to mobile edge computing. He pioneered foundational concepts in mobile computing and Edge Computing through his seminal work on VM-based cloudlets. His current research explores cloudlet-based Edge Computing for latency-sensitive applications, wearable cognitive assistance systems integrating augmented reality, and edge-based machine learning frameworks for efficient training data discovery. He collaborates with Dan Siewiorek, Martial Hebert, and Bobby Klatzky on transformative applications. Dr. Satyanarayanan received his PhD from Carnegie Mellon University after completing Bachelor's and Master's degrees at the Indian Institute of Technology, Madras. His honors include ACM and IEEE Fellowships recognizing his contributions to distributed systems and mobile computing. ACM Fellow IEEE Fellow

Scott Sternمشاهده پروفایل

استاد

• Innovation Economics
• Entrepreneurial Strategy
• Innovation Policy
• +۳ مورد دیگر

Scott Stern is the David Sarnoff Professor of Management at the MIT Sloan School of Management, specializing in the economics of innovation and entrepreneurship. His research focuses on entrepreneurial strategy, innovation-driven ecosystems, and policy. Stern holds a BA from NYU and a PhD from Stanford. He is a leading scholar in regional innovation ecosystems, having co-founded MIT’s Regional Entrepreneurship Acceleration Program (REAP) and co-led the U.S. Cluster Mapping Project. Stern’s work bridges academia and practice, advising startups and governments on innovation strategies. He has been awarded the Kauffman Prize Medal (2005) and the Jamieson Prize (2024). Education: Bachelor of Arts in Economics, New York University Doctor of Philosophy in Economics, Stanford University Research Interests: Stern explores how innovation and entrepreneurship differ from traditional economic activities, emphasizing their strategic and policy implications. Key areas include entrepreneurial ecosystems, regional competitiveness, and the role of institutions in fostering innovation. His frameworks, such as Entrepreneurial Strategy, are taught in MIT Sloan’s curriculum and published in textbooks. Recent Work: Stern’s recent studies address the impact of clusters, the Startup Cartography Project, and the effects of policy on entrepreneurship. He co-authored Entrepreneurship: Choice and Strategy (2024), blending academic rigor with practical insights. Awards and Recognition: Kauffman Prize Medal for Distinguished Research in Entrepreneurship (2005) Jamieson Prize (2024) 2021 Innovation in Entrepreneurship Pedagogy Award Grants and Initiatives: Stern directs the National Bureau of Economic Research’s Innovation Policy Working Group and advises the Social Progress Index. His executive education courses, including Strategy for Startups , integrate theory and practice for leaders. Labs and Teams: Stern collaborates with institutions like the National Academy of Sciences and co-leads MIT’s innovation initiatives, fostering cross-sector partnerships to advance entrepreneurship and policy.

Lincoln J. Lauhonمشاهده پروفایل

استاد

• Nanomaterials Engineering
• Quantum Computing Materials
• Semiconductor Devices
• +۴ مورد دیگر

Lincoln J. Lauhon is a Professor of Materials Science and Engineering at Northwestern University. His research focuses on nanoscale structure-property relationships in low-dimensional materials, emphasizing synthesis, characterization, and device applications. He leads the Lauhon Research Group, which explores nanowires, 2D semiconductors, and heterostructures for quantum computing, high-power electronics, and energy conversion. Lauhon holds significant recognition including the Camille Dreyfus Teacher-Scholar Award (2008) and National Science Foundation CAREER Award (2005). His work bridges fundamental materials science with practical technologies through advanced microscopy and modeling techniques. Education: Postdoc in Chemistry at Harvard University, Ph.D. in Physics from Cornell University, and B.S. in Physics (Honors) from the University of Michigan. Research interests span nanowire synthesis, 3D nanotomography, scanning probe microscopy, and computational modeling. Current projects include III-As-Sb nanowire networks for quantum computing, GaN diodes for power electronics, and ferroelectric 2D materials. Lauhon's lab emphasizes collaboration across disciplines, with contributions to high-impact journals like Science Advances and Nano Letters . Awards highlight his dual excellence in teaching and research, including the Teacher of the Year award (2006). Professional service includes leadership roles in the Materials Research Society and organizing conferences on electronic materials. His team's innovations include novel nanomaterial synthesis methods and device architectures, with applications in computing, energy, and optoelectronics. The group actively engages in graduate and undergraduate training, fostering future leaders in nanotechnology.

• Psychotherapy Research
• Clinical Research
• Developmental Research
• +۹ مورد دیگر

Lisa Wallner Samstag is a Professor of Psychology at Long Island University's Brooklyn Campus, affiliated with the College of Liberal Arts and Sciences and Department of Psychology. She is Director of Psychotherapy Research and Clinical Supervisor at LIU's Psychological Services Center, and Senior Consultant at Mount Sinai Beth Israel's Psychotherapy Research Program. B.A. in Psychology from Queen’s University M.A., M.Phil., and Ph.D. in Clinical Psychology from City University of New York Her research focuses on therapeutic alliance development, alliance ruptures, process-outcome dynamics, depression, anxiety, personality disorders, and developmental themes like parenting and infertility. She has extensively published on ruptures in psychotherapy and their resolution. Dr. Samstag's publications span from 2004 to 2022, emphasizing therapeutic alliance dynamics, rupture repair strategies, and clinical outcomes across diverse psychotherapy approaches. Her work bridges theoretical concepts with practical applications in alliance-focused training. Fellow of the American Psychological Association (APA) She supervises trainees in alliance-focused therapy, co-edited a book on rupture repair, and contributes to psychotherapy literature through book chapters and editorship roles in APA journals.

Konrad Kollnigمشاهده پروفایل

استادیار

• Digital Privacy
• AI Ethics
• Regulatory Technology (RegTech)
• +۴ مورد دیگر

Konrad Kollnig is an Assistant Professor at Maastricht University’s Faculty of Law, specializing in the intersection of law and technology. He leads the RegTech4AI project, which combines legal and technical methods to address challenges in the AI and digital platforms sector. His academic background includes a PhD and MSc from the University of Oxford and a BSc from RWTH Aachen, with his PhD thesis winning the prestigious Stefano Rodotà Award 2024. Research focuses on market power analysis in digital platforms, ethical AI governance, and privacy-preserving technologies. He developed the TrackerControl app (200,000+ downloads) to expose app tracking practices. His work has influenced EU, OECD, US FTC, and other regulatory bodies, and been featured in Forbes, Wired, and New Scientist. Key achievements include winning the United Nations Privacy Competition 2022 and the Best Student Privacy Paper Award 2022. He holds a five-year RegTech4AI project grant (€2.1M) funding six researchers. Talks and collaborations span institutions like Georgetown University, CNIL, and the Council of Europe. His interdisciplinary approach bridges computer science, law, and policy to address systemic risks in digital ecosystems.

Richard Zemelمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Unsupervised Learning
• +۵ مورد دیگر

Richard Zemel is a Professor in the Department of Computer Science at the University of Toronto, where he has been since 2000. He holds an Industrial Research Chair in Machine Learning and co-founded the Vector Institute for Artificial Intelligence. His research focuses on machine learning, including unsupervised learning, deep learning, and ethical AI, with contributions to probabilistic models, fairness, and representation learning. Zemel has developed influential systems like the Toronto Paper Matching System and holds awards such as the NVIDIA Pioneers of AI Award and multiple NSERC grants. Education: B.Sc. in History & Science from Harvard University (1984), Ph.D. in Computer Science from the University of Toronto (1993). Postdoctoral work at the Salk Institute and Carnegie Mellon University. Research Interests: Machine Learning (unsupervised/deep learning), probabilistic models, fairness in algorithms, computer vision, natural language processing. He emphasizes ethical AI and practical applications like recommendation systems and causal inference. Awards & Affiliations: Fellow of CIFAR, member of the Neural Information Processing Society (NIPS) Executive Board, and advisor to the Creative Destruction Lab. His work is funded by NSERC, CIFAR, Google, Microsoft, and DARPA. Grants & Labs: Active in grants supporting machine learning research, including projects on fairness and invariant learning. Collaborates with industry partners and leads teams at the University of Toronto and Vector Institute.

Beat Fierzمشاهده پروفایل

دانشیار

• Epigenetics
• Chemical Biology
• Molecular Biology
• +۳ مورد دیگر

Beat Fierz is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences (SB), affiliated with the Institute of Chemical Sciences and Engineering (ISIC) and the Laboratory of Biophysical Chemistry of Macromolecules (LCBM). He holds additional roles as Director of the Doctoral Program in Chemistry and Chemical Engineering (EDCH) and oversees doctoral education within the SCGC teaching unit. His research focuses on chromatin dynamics, epigenetic regulation, and chemical biology approaches to study histone modifications and protein interactions. He has supervised over 14 PhD students and teaches courses in advanced chemistry and chemical biology. His work bridges molecular mechanisms of chromatin structure with cellular processes like DNA repair and transcriptional regulation. Research Interests: Dr. Fierz investigates how post-translational modifications of histones (e.g., ubiquitylation, acetylation) regulate chromatin compaction, silencing, and accessibility. He employs single-molecule techniques and chemical synthesis to reconstitute and analyze chromatin states, with applications in understanding epigenetic diseases, aging, and CRISPR-Cas9 genome editing dynamics. Recent studies highlight mechanisms of HP1α-mediated heterochromatin assembly and pioneer transcription factor invasion into compact chromatin. Doctoral Program Leadership: As Director of the EDCH program, he oversees training in chemistry and chemical engineering, ensuring academic rigor and interdisciplinary collaboration. His lab collaborates extensively with EPFL's Chemical Biology NCCR and contributes to initiatives like the Chemical Biology Seminar Series. Lab & Teams: The LCBM lab uses innovative tools like 'MagIC beads' and semisynthetic nucleosomes to study chromatin modifications. Current projects include exploring how ubiquitin signals modulate DNA repair proteins and how histone aging impacts chromatin stability. Collaborations span biophysics, biochemistry, and synthetic chemistry.

Gregory D. Erhardtمشاهده پروفایل

دانشیار

• Transportation Engineering
• Urban Planning
• Traffic Forecasting
• +۴ مورد دیگر

Gregory D. Erhardt is an Associate Professor of Civil Engineering at the University of Kentucky and serves as Associate Director of the T-SCORE Center, a multi-university consortium advancing public transit strategies. He holds a PhD from University College London’s Centre for Advanced Spatial Analysis, with prior experience in transportation planning across public and private sectors. His research focuses on transportation forecasting, big data applications, and evidence-based policy decisions, particularly addressing the impacts of emerging mobility technologies like ride-hailing on urban systems. Erhardt’s work emphasizes improving forecast accuracy and advocating for gender equity in engineering. He has been recognized with awards such as the Transportation Research Board’s Certificate of Appreciation and the Chan Wui & Yunyin Rising Star Fellowship. Education: PhD (University College London), M.S. (Northwestern University), B.S. (Cornell University). His research integrates activity-based travel models with big data to evaluate infrastructure investments and mobility trends. Key projects include analyzing public transit ridership decline, ride-hailing effects on congestion, and TNC impacts on urban transportation systems. Current initiatives include developing multi-agent simulation frameworks for on-demand transit systems. As a Hans Fischer Senior Fellow at the TUM Institute for Advanced Study, he collaborates on travel behavior modeling. His advocacy for diversity includes leading 'Advocates and Allies' training to promote gender equity in engineering. Erhardt’s publications span journals like Transportation Research Part A and Science Advances , with a focus on policy-relevant transportation analytics.

Marina Romeo Delgadoمشاهده پروفایل

استاد

• Work and Organizational Psychology
• Employee Well-being
• Organizational Communication
• +۴ مورد دیگر

Marina Romeo Delgado is a Full Professor at the Department of Social Psychology and Quantitative Psychology, University of Barcelona. She directs the UB-ADECCO Chair for Labour Integration of People with Disabilities and leads the Consolidated Teaching Innovation Group GIDC-CAV. As Internal Coordinator of the Erasmus Mundus Work, Organizational and Personal Psychology (WOP-P) Master's program, she collaborates with universities in Bologna, Coimbra, and Valencia. She also coordinates the Interuniversity Doctorate in Psychology of Communication and Change. Her research focuses on psychosocial risks, organizational communication, and employee well-being with emphasis on disability inclusion in workplaces. She has led projects like 'Implementing Sustainable Development Goals (SDGs) in Psychology and Education Programs' (2022-2024) and 'Realizing Potential of EU Staff Mobility' (2016-2019). Awarded EuroPsy Specialist certification in Work and Organisational Psychology, she has authored over 20 peer-reviewed articles on telework motivation, job crafting effects, and disability employment policies. Her work bridges academic research with practical interventions through international collaborations and institutional initiatives.

Mona Mensmannمشاهده پروفایل

دانشیار

• Innovation Management
• Entrepreneurship
• Psychology of Entrepreneurship
• +۵ مورد دیگر

Prof. Dr. Mona Mensmann is an Associate Professor of Innovation Management and Entrepreneurship at the University of Cologne , School of Business and Social Sciences. Her research bridges entrepreneurship with psychology, focusing on entrepreneurial mindset, proactive behavior, and training curricula. Current: Associate Professor (W2), University of Cologne (2021–) Previous: Associate/Assistant Professor at Warwick Business School (2018–2021) Education: PhD in Psychology, Leuphana University (2013–2017); MSc in Psychology, University of Heidelberg (2011–2013) Mensmann’s research explores the psychological foundations of entrepreneurship, including the impact of cognitive traits (e.g., ADHD, need for cognition) on entrepreneurial intentions and outcomes. She emphasizes personal initiative training as a tool for poverty reduction and sustainable business development, particularly in West Africa and developing economies. Her publications span peer-reviewed journals like Entrepreneurship Theory and Practice and Science , focusing on topics such as sleep quality’s influence on founders, training program effectiveness, and lifespan entrepreneurship. She has also contributed to academic book chapters and conference proceedings.