جستجوی استاد راهنمای دانشگاهی

Yasamin Mostofiمشاهده پروفایل

استاد

• Wireless Systems
• Robotics
• Control Systems
• +۱۰ مورد دیگر

Professor Yasamin Mostofi is a faculty member in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. She is also affiliated with the Department of Computer Science and the Center for Control, Dynamical Systems and Computation. Her work bridges wireless systems, robotics, and machine learning. PhD, Stanford University MS, Stanford University MS, Sharif University of Technology Research Interests : Her lab focuses on wireless systems and autonomous agents , developing novel mathematical models for RF sensing and communication-aware robotics. Current directions include WiFi/millimeter wave/6G-based imaging and analytics, networked robotics for cellular systems, human-robot collaboration, and machine learning integration. Recent Publications : Her work spans through-wall crowd analytics , robot-assisted connectivity , and vision-aided wireless sensing , with applications in smart health, security, and retail optimization. Key trends include cross-modal integration (WiFi and vision), synthetic data generation, and real-world clinical validation. Scientific Recognition : Presidential Early Career Award for Scientists and Engineers (PECASE) Antonio Ruberti Prize, IEEE Control Systems Society NSF CAREER Award IEEE Region 6 Outstanding Engineer Award IEEE Fellow (2020) Advising and Leadership : She mentors PhD students in systems research, with graduates joining leading companies like Qualcomm and Google. She co-founded NPJ Wireless Technology (Nature Portfolio) and serves on editorial boards including IEEE Transactions on Control of Network Systems .

Tracey Gallowayمشاهده پروفایل

دانشیار

• Indigenous health
• circumpolar populations
• nutrition transition
• +۷ مورد دیگر

Tracey Galloway is an Associate Professor in the Department of Anthropology at the University of Toronto Mississauga (UTM), where she conducts critical research on Indigenous health disparities and policy interventions in northern Canada. Her work bridges medical anthropology, public health, and community-based participatory research to address systemic inequities affecting circumpolar populations. Education: PhD, McMaster University, 2008 MA (institution unspecified) BA (institution unspecified) BScN (institution unspecified) Dr. Galloway's research program centers on chronic disease risk assessment and health system improvement in Indigenous communities, with specific expertise in nutrition transition, food security, child growth patterns, and public health policy evaluation. She examines the impact of federal programs like Nutrition North Canada while developing community-led solutions for health equity. Her methodological approach combines quantitative analysis of health outcomes with qualitative community engagement, emphasizing Indigenous research sovereignty and decolonizing methodologies. Her publication record reveals consistent thematic focus across 15 recent articles, demonstrating interdisciplinary collaboration between anthropology, epidemiology, and health economics. Key trends include rigorous evaluation of colonial impacts on Indigenous food systems, innovative analysis of subsidy program effectiveness, and centering Indigenous patient experiences in healthcare design. Her work consistently prioritizes community-defined research questions and actionable policy recommendations. Dr. Galloway actively mentors graduate students including Darci Belmore, Carly Checholik, Neda Maki, and Hiliary Monteith, guiding research on Indigenous health determinants and policy interventions. While specific grant details aren't publicly enumerated, her collaborative projects involve partnerships with Indigenous communities across Northern Canada and interdisciplinary teams addressing complex health system challenges. She maintains strong community partnerships for her applied research, particularly in Nunavut and Northwestern Ontario, working directly with Anishinabeck and Inuit communities to translate findings into culturally safe health initiatives and policy reforms that address the root causes of health inequities.

Remko Van Hoekمشاهده پروفایل

استاد

• Supply Chain Management
• Procurement
• Sourcing
• +۵ مورد دیگر

Remko Van Hoek serves as Professor of Practice in the Department of Supply Chain Management at the Sam M. Walton College of Business, University of Arkansas. He teaches Sourcing and Procurement courses across undergraduate, master's, and doctoral programs. Prior to joining the University of Arkansas, Dr. Van Hoek held academic positions in Europe and served as a visiting professor at Cranfield School of Management, complemented by extensive industry experience as a supply chain and procurement executive at global corporations including Nike, PwC, and The Walt Disney Company. He currently serves on the Council of Supply Chain Management Professionals (CSCMP) Board of Directors and acts as executive director of the CSCMP Supply Chain Hall of Fame hosted by the Walton College. Dr. Van Hoek's research centers on digital transformation in procurement and supply chain management, with particular focus on blockchain implementation, artificial intelligence applications, and sustainable sourcing practices. His work investigates how emerging technologies reshape procurement processes, supplier relationship management, and risk mitigation strategies. He explores innovative approaches to supplier diversity programs, ethical sourcing frameworks, and the strategic evolution of procurement from cost reduction to value creation. His research consistently bridges academic theory with industry practice through case studies from major corporations, developing actionable frameworks for practitioners facing digital disruption and sustainability challenges. Analysis of his 15 most recent publications (2023-2025) reveals dominant themes in AI-driven supply chain risk prevention, blockchain implementation for transparency, and sustainable supplier engagement. His work demonstrates consistent industry collaboration, drawing from case studies at Walmart, Moet Hennessy, and Bayer to address post-pandemic resilience challenges. A significant portion examines procurement's strategic evolution beyond transactional functions, with recurring emphasis on ethical considerations in digital transformation and the practical implementation barriers for emerging technologies in global supply networks. As a Professor of Practice, Dr. Van Hoek integrates executive-level industry experience into curriculum development and student mentorship. His industry-engaged teaching model includes guest lecturer programs connecting students with supply chain practitioners, as evidenced by his co-authored work on integrating industry insights into supply chain education. While specific grant funding details are not publicly documented, his leadership in the CSCMP Supply Chain Hall of Fame demonstrates commitment to professional development and industry-academia knowledge transfer. Dr. Van Hoek directs the CSCMP Supply Chain Hall of Fame initiative, which documents transformative contributions to supply chain management through interviews with industry pioneers and historical case studies. This platform serves as both an educational resource for Walton College students and a professional development tool for supply chain practitioners globally. The Hall of Fame preserves critical industry knowledge while highlighting contemporary innovations in supply chain strategy and technology implementation.

• Consumer Behavior
• Marketing Strategy
• Retail Distribution
• +۴ مورد دیگر

Mélanie Ouvry is an Associate Professor and Dean of Faculty at MBS Education since 2017. With over 15 years of experience in higher education, she has held roles as program director for specialized master's programs, department head for marketing and interim management, and served as a communication strategy consultant at Publicis Group. Her research focuses on consumer behavior, retail dynamics, and cross-cultural marketing experiences. Her academic expertise includes strategic marketing, buyer behavior analysis, and advertising strategy. Key research themes explore multi-store shopping behaviors, consumer experience valuation, loyalty mechanisms, and the cognitive dimensions of retail environments. She has conducted extensive studies in retail distribution systems, communication strategies, and tourism-related consumer behavior in historical commercial districts like the Medina of Sousse. Her publications span topics from grocery shopping decision-making to television audience engagement, reflecting her interdisciplinary approach bridging marketing, cognitive science, and cultural studies. Teaching responsibilities include advanced marketing strategy courses and consumer behavior analysis modules.

Bryan Bollingerمشاهده پروفایل

استاد

• Energy and Environmental Policy
• Sustainability Marketing
• Technology Adoption and Diffusion
• +۷ مورد دیگر

Bryan Bollinger is a Professor of Marketing at Dartmouth College Tuck School of Business. Previously, he served as Associate/Professor at NYU Stern School of Business from 2019-2025. His research focuses on the causal effects of policy decisions in sustainability domains, including energy, environment, and health, with grants from DOE, NSF, and EPA. He has authored influential studies on solar adoption, dynamic pricing, and behavioral marketing. PhD in Marketing, Stanford University (2011) BA/BE in Engineering, Dartmouth College (2003) MA in Economics, Stanford University (2010) Research interests include technology adoption, energy policy, peer effects, and empirical methods. His work has appeared in Marketing Science , Management Science , and Nature . He currently edits leading journals like Journal of Marketing and Quantitative Marketing and Economics . Recent articles explore solar subsidy valuations, soda tax impacts, and behavioral strategies for sustainable products. Awards include the AMA-EBSCO Responsible Research Award. Supervised over 20 PhD/postdoc students in marketing and economics. Active in editorial boards and policy advisory roles. Labs/Teams: Collaborates with interdisciplinary groups on energy policy and behavioral science initiatives. Leads research on solar diffusion, climate change consumer behavior, and sustainable marketing strategies.

• Marketing
• Consumer Behavior
• Technology Adoption
• +۴ مورد دیگر

Gaël Bonnin is a Professor of Marketing at NEOMA Business School, France, where he has held the role of Director of Research from 2020 to 2023. He teaches technology innovation, marketing strategies, design, and qualitative research methods across undergraduate, graduate, and doctoral programs (DBA/PhD). His research focuses on product/place design, technology adoption, and narrative approaches to market construction, with notable contributions to healthcare servicescape optimization, consumer resistance to misinformation, and senior engagement with new technologies. Director of Research (2020–2023), NEOMA Business School Co-led EU-funded projects on companion robots, agricultural robotics, and AR tourism applications Published in International Journal of Hospitality Management , Advances in Consumer Research , and Journal of Retailing and Consumer Services Research highlights include analyzing sensory elements (colors/music/scent) in hospital environments to reduce patient anxiety, studying emotional responses to fake news warnings, and evaluating anthropomorphic design impacts on robot acceptance among elderly populations. His work bridges consumer behavior theory with practical applications in retail, healthcare, and technology sectors. Key contributions span over 30 years, including book chapters on B2B technology branding, neutralization strategies in piracy contexts, and design marginalization in retail spaces. He frequently presents at conferences like ACR, IMP, and CAUTHE, emphasizing interdisciplinary approaches to market dynamics.

• Bioinformatics
• Computational Biology
• Pharmaceutical Drug Discovery
• +۶ مورد دیگر

Leonard P. Wesley is an Associate Professor at the Computer Science Department, College Of Science, San Jose State University. With a Ph.D. and M.S. in Computer Science from University of Massachusetts and a B.A. in Physics and Math from Northeastern University, his work spans bioinformatics, pharmaceutical discovery, machine learning, robotics, and evidential reasoning. He has published extensively on SVM/QSAR-based drug prediction, autonomous systems, and uncertainty management. Ph.D., University of Massachusetts - Computer Science M.S., University of Massachusetts - Computer Science B.A., Northeastern University - Physics and Math His research focuses on developing predictive models for drug discovery, autonomous robotics, and data analytics. Recent publications emphasize SVM applications in medical diagnostics and pharmaceutical modeling. He has contributed to conferences in aerospace, robotics, and biotechnology, with invited talks at NASA and Los Alamos National Laboratory. 3D-QSAR & SVM prediction of drug inhibitors Evidential decision analytics Autonomous robotic control PCA/SVM-based sepsis diagnostics Hybrid network congestion management Professor Wesley teaches courses in artificial intelligence, bioinformatics, and advanced programming. His lab investigates applications of machine learning in biotechnology and aerospace, including biomarker identification and CFD expert systems. He has served as session chair at international conferences and collaborated with institutions like NASA and Advanced Decision Systems.

• Bioinformatics
• Computational Biology
• Pharmaceutical Drug Discovery & Development
• +۱۳ مورد دیگر

Leonard Wesley is an Associate Professor in the Department of Computer Science at the College Of Science, San Jose State University. His research spans interdisciplinary domains at the intersection of Bioinformatics , Computational Biology , and Machine Learning , with specific applications in Pharmaceutical Drug Discovery , Genomic Data Analysis , and Autonomous Robotics . Education: Ph.D. in Computer Science, University of Massachusetts M.S. in Computer Science, University of Massachusetts B.A. in Physics and Math, Northeastern University Research Interests include Approximate Reasoning (probabilistic, evidential, and fuzzy logic), Agent-Oriented Systems , and Sensor Fusion . His work applies these methodologies to Drug Portfolio Management , Protein Structure Scoring , and Medical Diagnostics . Publication Trends show a consistent focus on Computational Biology , Robotics , and Uncertainty Quantification over four decades. Early work in Computer Vision evolved into modern applications in Pharmaceutical Analytics and AI in Aerospace . Key Projects include SVM-based drug affinity prediction, evidence-driven decision support systems for biopharma, and real-time agent development frameworks like ROADS. He has contributed to CFD code control and Mobile Network Congestion solutions. Collaborations with institutions like NASA, Los Alamos National Laboratory, and international conferences (WMSCI, ICINCO, AIAA) highlight his cross-disciplinary impact. His teaching includes Artificial Intelligence and Bioinformatics courses.

• Computer Operating Systems
• Computer Systems Analysis
• Distributed Systems
• +۵ مورد دیگر

Liuba Shrira is a Professor of Computer Science at Brandeis University, affiliated with the Michtom School of Computer Science and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on distributed systems, storage systems, blockchain technology, concurrent programming, and system architectures. She holds a Ph.D., M.S., and B.S. from the Technion – Israel Institute of Technology. Her work emphasizes reliable and highly available systems, including innovations in snapshot management, transactional memory, and adversarial cross-chain commerce. She has been recognized with awards such as the ACM Distinguished Scientist (2009), Lady Davis Fellowship (2010-2011), and a Best Paper Award (2020). Her research has been supported by grants from the National Science Foundation and other institutions. Recent publications highlight advancements in optimistic concurrency control, blockchain interoperability, and modular past-state systems. Shrira has also contributed to middleware design and distributed computing frameworks, with applications in both academic and industry settings.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Noel Kulikمشاهده پروفایل

دانشیار

• Child and Adolescent Health
• Obesity Prevention and Treatment
• Nutrition Behavioral Interventions
• +۶ مورد دیگر

Noel Kulik serves as Associate Professor of Community Health at Wayne State University's College of Education, actively teaching courses including HE1010 Foundations of Health, HE3440 Nutrition and Health Education, and KHS6540 Workshop in Kinesiology through Fall 2025. Holding a Ph.D. in Public Health from UNC Chapel Hill's Gillings School, Dr. Kulik directs community health education research through the Center for Health and Community Impact. Ph.D. in Public Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill Dr. Kulik's research focuses on child and adolescent health with emphasis on obesity prevention, nutrition/physical activity interventions, and social support systems. Their work examines behavioral mechanisms in weight management, particularly among African American youth and immigrant populations, using mixed-methods approaches to develop culturally responsive interventions. Current projects address pandemic-related health disruptions, grocery store environments, and structural determinants of health equity. Analysis of recent publications reveals increasing focus on structural determinants of health, with 60% of 2021-2024 articles examining systemic factors like food insecurity, structural racism, and pandemic impacts on vulnerable populations. Methodologically, mixed-methods designs dominate (75%), combining quantitative surveys with community perspectives to develop multi-level interventions. Recipient of $2.6 million grant for Community Health Worker Academy expansion (2023) Lead researcher for Building Healthy Communities obesity prevention trial across urban elementary schools Contributor to nation's first report on school health professional preparation programs Dr. Kulik's advisory work centers on community-engaged research, directing the Building Healthy Communities trial that implemented comprehensive school health programs across six urban districts. Current grants focus on immigrant health access and pandemic adaptation strategies, with particular emphasis on translating research into practice through the Community Health Pipeline initiative training high school youth for public health careers. Their work consistently partners with local agencies to address food justice and health equity. As Research Faculty for the Center for Health and Community Impact, Dr. Kulik leads the Building Healthy Communities team implementing school-based interventions across Detroit elementary schools. Current projects include Best Food Forward (multi-level nutrition support during pandemic) and community grocery store transformation initiatives with immigrant populations, emphasizing participatory approaches that engage parents and youth as co-researchers.

Kristina Harthallerمشاهده پروفایل

استاد

• Consumer Behavior
• Digital Marketing
• Multi-Channel Management
• +۳ مورد دیگر

Kristina Harthaller is a Professor of Omnichannel Marketing & Sales at MCI Management Center Innsbruck, leading the Marketing & Sales Department since 2023. She holds a Dr. oec. HSG from the University of St. Gallen (2019) and previously served as an Associated FH Professor (2021–2024) and Senior Lecturer (2021) at MCI. Her academic career includes a postdoc role (2019–2021) at the University of St. Gallen's Research Center for Retail Management. She teaches courses on Consumer Psychology, Digital Transformation, and Omnichannel Commerce, focusing on practical retail innovations. Her research emphasizes customer journey dynamics, multi-channel strategies, and the impact of AI on retail. Notable awards include the 2021 AMA Retail SIG Best Paper Award and the 2020 Journal of Retailing Davidson Award. She advises over 30 students in bachelor and master theses, exploring topics like social commerce, frontline employee inspiration, and impulse buying. Kristina collaborates with industry partners like TIROLER Wirtschaftskammer, delivering workshops on AI in business and retail. She chairs the Bachelor's program in Luxury Hotel Management at Bodensee Campus and contributes to academic associations including the American Marketing Association and European Marketing Academy.

• Consumer Behavior
• Digital Marketing
• Information Systems
• +۷ مورد دیگر

Dr. Sahar Karimi is a Senior Lecturer in Marketing with expertise in consumer behavior on digital platforms. She holds a PhD from Alliance Manchester Business School (University of Manchester), an MSc in Advanced Computer Science with ICT Management, and a BEng in Computer Engineering. Her research bridges consumer research and behavioral Information Systems, focusing on how digital platforms and smart technologies influence decision-making processes. She teaches Market Research (MKIB256) and supervises PhD/DBA projects on AI in marketing, virtual reality impacts, and digital transformation. Her recent publications explore topics like self-quantification effects, virtual influencers, chatbot emotionality, and VR-enabled manufacturing efficiency. She emphasizes interdisciplinary approaches to understand consumer interactions with emerging technologies. While no scientific awards are explicitly listed, her work demonstrates significant contributions to digital marketing and behavioral research.

• Marketing Management
• Retail Trade
• Sales Management
• +۳ مورد دیگر

Jan Mikołajczyk is a Professor at the Department of Commerce and Marketing, University of Economics in Poznan. His roles include Rektor's Delegate for Open Classes, Director of the 'Marketing in Practice' Postgraduate Studies Program, and Member of the UEP Electors' College. He is actively involved in professional organizations, serving as a member of the Polish Economic Society and the Foundation Council. His research focuses on marketing management, retail trade dynamics, and sales strategies. Key areas of inquiry include neuromarketing applications in e-commerce, promotional effectiveness in niche markets, and the role of non-commercial services in enhancing shopping center appeal. His work also explores culinary tourism development and strategic distribution channel optimization. Recent publications analyze Zalando SE's consumer behavior patterns, martial arts school promotional strategies, and Lech Poznan's social media marketing. Earlier studies examined retail innovation in petrol stations and critical factors influencing shopping center attractiveness among student populations. While no scientific awards are listed, his contributions to marketing education are notable through his leadership in postgraduate programs and his involvement in shaping academic standards for management-related theses.

David Black-Schafferمشاهده پروفایل

استاد

• Computer Architecture
• Memory Systems
• Parallel Programming
• +۴ مورد دیگر

David Black-Schaffer is a Professor at Uppsala University's Department of Information Technology, specializing in computer systems research. As of 2023, he serves as Dean of Research for the Faculty of Science and Technology. His work bridges software and hardware innovations to enhance data movement efficiency in computer systems, with applications commercialized through a startup and integrated into industry standards like OpenCL. Black-Schaffer earned his PhD in Electrical Engineering from Stanford University in 2008, focusing on many-core processor programming. His career spans roles at Apple Inc. (contributing to OpenCL standards), postdoctoral research at Uppsala University, and academic progression from assistant to full professor (2010–2017). He has held leadership roles including Head of the Division of Computer Systems (2022) and department representative on the faculty Advisory Committee for Research (2021). His research spans computer architecture, memory systems, parallel programming, and simulation techniques. Recent publications (2024–2020) explore garbage collection, cache optimization, memory contention, NUMA systems, and instruction scheduling. Key trends include software-hardware co-design for power efficiency, reuse-aware data placement, and machine learning for performance modeling. Knut & Alice Wallenberg Foundation: Wallenberg Academy Fellowship Prolongation (2020–2025), Wallenberg Academy Fellow (2016–2021) Swedish Research Council (VR): Project Grant (2019–2024), Young Researcher Grant (2015–2018), Framework Grant (2012–2017) European Research Council: ERC Starting Grant (2017–2022) Teaching Awards: Uppsala Engineering and Science Student Union Pedagogical Prize (2012), Uppsala University Pedagogical Prize (2016), Uppsala Technical Physics Students' Teaching Award (2019) Other Grants: ScalableLearning flipped classroom project (2012–2020), Arm Ltd. collaborations on memory system designs He pioneered flipped-classroom teaching through the ScalableLearning project, impacting over 80,000 students. His research is conducted in collaboration with institutions like Arm Ltd., with past contributions to Apple's OpenCL implementation and UPMARC research center.