جستجوی استاد راهنمای دانشگاهی

Dean Eckles is an Associate Professor of Marketing at MIT Sloan School of Management and serves as an Associate Director of the MIT Institute for Data, Systems, and Society (IDSS). He is also affiliated with the MIT Schwarzman College of Computing through the Institute for Data, Systems & Society and its Statistics and Data Science Center. Additionally, he leads the analytics research area at the Initiative on the Digital Economy and organizes the annual Conference on Digital Experimentation (CODE@MIT). His educational background includes a BA in philosophy, BS and MS in cognitive science, MS in statistics, and PhD in communication, all from Stanford University. Prior to joining MIT, Eckles worked as a scientist at Facebook, where he contributed to areas including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. He previously held research positions at Nokia and Yahoo. Eckles's research primarily focuses on social influence mediated by interactive technologies, examining how communication technologies mediate, amplify, and direct social influence. His work spans multiple specific areas including social interactions, contagion, and interventions in networks; experimental design and inference in networks; and methods for causal inference. His research often combines social science with advanced statistical methods. His notable publications include research on long ties in social networks and their relationship to economic prosperity, how network structure affects social contagions, and algorithmic transparency in social media platforms. His work has appeared in prestigious journals including PNAS and Nature Human Behaviour, and he has provided expert testimony before the US Senate on algorithmic ranking. Long ties, disruptive life events and economic prosperity (PNAS) Long ties accelerate noisy threshold-based contagions (Nature Human Behaviour) Algorithmic transparency and assessing effects of algorithmic ranking (Senate testimony) Eckles actively shares his research through social media platforms including Bluesky, Twitter, and Mastodon, as well as through his blog and contributions to the Gelman et al. blog. His work bridges academic research with practical applications in technology and policy.

• Social Influence
• Network Analysis
• Causal Inference
• +۴ مورد دیگر

Sheila McIlraith is a Professor in the Department of Computer Science at the University of Toronto, holding the Canada CIFAR AI Chair at the Vector Institute and serving as Associate Director and Research Lead at the Schwartz Reisman Institute for Technology and Society. Her research spans AI safety, ethics, reinforcement learning, and knowledge representation, with a focus on human-compatible AI and long-term societal impacts. Her career includes six years as a Research Scientist at Stanford University and a year at Xerox PARC. McIlraith’s work has been recognized through ACM and AAAI fellowships, as well as prestigious awards like the SWSA 10-Year Award (2011) and the CAIAC Lifetime Achievement Award (2024). Research Interests: AI Safety and Alignment Human-Compatible AI Reinforcement Learning with Ethical Constraints Semantic Web Services Cognitive Robotics and Diagnostic Systems Probabilistic and Logical Reasoning Recent Contributions: Her work emphasizes ethical AI integration, such as the Embedded Ethics Education Initiative (E3I), and addresses challenges in long-term AI risks, multi-agent systems, and interpretable decision-making frameworks. Awards and Honors: ACM Fellow AAAI Fellow 2023 IJCAI-JAIR Best Paper Prize 2024 CAIAC Lifetime Achievement Award Labs and Teams: McIlraith leads initiatives at the Schwartz Reisman Institute and contributes to the Vector Institute, focusing on societal and ethical dimensions of AI technology.

• Artificial Intelligence
• AI Safety
• AI Alignment
• +۹ مورد دیگر

Melvyn R.W. Hamstra is a Full Professor at IÉSEG School of Management in France since 2023. His academic career includes roles as Associate Professor (2021–2023) and Assistant Professor (2020–2021) at IÉSEG, as well as Assistant Professor positions at the University of Maastricht (2015–2020) and the University of Amsterdam (2013–2015). He holds a Ph.D. in Behavioural and Social Sciences from the University of Groningen (2013), preceded by a Master’s (2009) and Bachelor’s (2007) in Psychology from the same institution. Research Interests : His work centers on organizational behavior, leadership, and employee motivation, with a strong emphasis on regulatory focus theory, employee voice dynamics, and knowledge management. Key themes include how leadership styles (e.g., promotion vs. prevention focus) influence team innovation, conflict resolution, and workplace morale. Publication Trends : Recent publications (2025–2024) explore topics such as gender bias in leadership evaluation, financial stress and counterproductive behavior, ethical conflict in teams, and the dual-edged role of humor in workplace negotiations. His longitudinal studies on religious engagement and life satisfaction, as well as theoretical models on knowledge withholding, highlight interdisciplinary breadth. Teaching : He contributes to bachelor and master’s programs at IÉSEG, focusing on leadership development, positive leadership, and organizational learning.

• Organizational Behavior
• Leadership
• Human Resource Management
• +۶ مورد دیگر

Anand Bhojan is an Associate Professor (Educator Track) at the Department of Computer Science, School of Computing, National University of Singapore (NUS). He is a member of the Communication and Internet Research Lab and serves on the Graduate Studies Committee. Dr. Bhojan is also the founder of Anuflora Systems and Virtual and Augmented Reality Labs (www.varlabs.org), and serves as Associate Editor of Computers and Electrical Engineering Journal, Elsevier, and Vice President of International Researchers Club, Singapore. Dr. Bhojan earned his Ph.D. in Computer Science & Engineering from NUS in 2011, where his thesis was nominated for the Best PhD Thesis Award. He also holds a Professional Master's in Computer Applications from Bharathidasan University (1999), a Bachelor's degree in Computing with Gold Medal (University topper) from Bharathiar University (1994), and a Postgraduate Certificate in Teaching Higher Education from University of Sheffield, UK (2003). His research spans multiple domains including Distributed Computing and Wireless Networks (IoT, Security, Blockchain), Artificial Intelligence (Generative AI, FinTech), and Entertainment Computing with focus on Games, VR/AR/Metaverse technologies. Dr. Bhojan leads the Metaverse Foundry research group which focuses on content generation for games & XR simulations across multiple domains including entertainment, healthcare, and architecture, while also experimenting with innovative teaching methods for entertainment media technologies. Dr. Bhojan's recent research has pioneered hybrid rendering techniques that strategically combine ray tracing and rasterization to create more realistic video game graphics without compromising performance. His work addresses critical challenges in real-time rendering, particularly in depth of field and motion blur effects, with the goal of making Hollywood-quality graphics accessible on a wider range of hardware. Earlier work focused on energy efficiency in mobile gaming, including power management techniques and latency optimization for cloud gaming. Among his notable achievements: 2012 Nominated for Best PhD Thesis Award (Wang Gungwu Medal & Prize), NUS 2011 Dean's Graduate Research Achievement Award (PhD), SoC, NUS 2006 Best R&D Project award from TOTE Board, Singapore 1995 Gold medal for first Rank (out of 4000) in Computing, Bharathiar University Dr. Bhojan has served as Organizing Chair and Program Chair for multiple international conferences and has delivered keynote talks at IEEE/ACM International Conferences. He teaches courses including Computer Networks Practice, Game Development, Interaction Design for Virtual and Augmented Reality, and Game Development Project. He leads the Metaverse Foundry research group and the Virtual and Augmented Reality Labs, where undergraduate and graduate students have won multiple research and innovation awards. His research bridges entertainment, education, and emerging technologies with practical applications in making immersive experiences more accessible across different hardware capabilities while maintaining energy efficiency.

• Distributed Computing
• Wireless Networks
• IoT
• +۱۳ مورد دیگر

Abigail Scholer is a Professor specializing in self-regulation and motivation. Her research explores how motivational orientations influence decision-making, self-control conflicts, and adaptive change. She holds a BA from Gettysburg College and a PhD from Columbia University. Her work bridges educational, social, and cognitive psychology, with a focus on understanding the mechanisms behind human triumphs and failures in facing life's demands. Key research themes include metamotivational processes, goal pursuit dynamics, and the interplay between motivation and emotional regulation. Her lab, the Self-Regulation and Motivation Lab , investigates practical applications of these theories in academic and organizational settings. Publications span topics like motivational affordance, risk preferences, and the impact of threat on stereotyping. While no awards are listed, her contributions to motivational science are reflected in high-impact journals such as Journal of Personality and Social Psychology and Psychological Science . No advising or grant details are provided, though her lab's activities suggest active research participation.

• Self-Regulation
• Motivation
• Decision-Making
• +۳ مورد دیگر

Andrew Regan is a Senior Lecturer in the School of Chemistry at the University of Manchester, specializing in organic synthesis and drug discovery. He holds a B.A. (1981), M.A. (1985), and Ph.D. (1985) from the University of Cambridge. His career includes postdoctoral research at Columbia University and a lectureship at the University of Kent before joining Manchester in 1991. Research interests focus on synthesizing biologically active compounds, such as phosphinic acids for anticancer agents, and developing novel synthetic methods. His work contributes to drug discovery, green chemistry, and efficient chemical processes. He currently supervises two PhD students researching phosphinic acid analogues and simplified erythromycin analogues. Key achievements include the synthesis of epibatidine and advancements in macrolide antibiotic design. His research aligns with sustainable development goals through eco-friendly synthesis methods.

• Drug Discovery
• Organic Synthesis
• Biologically Active Compounds
• +۵ مورد دیگر

Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.

• Business Analytics
• Artificial Intelligence
• Web Mining and Social Media
• +۸ مورد دیگر

Jonathan A. Kelner is a Professor of Applied Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on applying techniques from pure mathematics to solve fundamental problems in algorithms and complexity theory, with the goal of developing practical algorithms for real-world questions. Dr. Kelner received his undergraduate degree from Harvard University and his Ph.D. in Computer Science from MIT in 2006. Before joining the MIT faculty, he spent a year as a member of the Institute for Advanced Study. His educational background has provided a strong foundation for his interdisciplinary research spanning mathematics and computer science. His research interests include combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory. Kelner's work demonstrates how deep theoretical insights can lead to practical algorithmic improvements, particularly in graph algorithms and optimization problems. His approach often involves connecting seemingly disparate areas of mathematics to create novel algorithmic techniques. Analysis of his recent publications reveals a strong focus on spectral graph theory, optimization algorithms, and the Sum-of-Squares method. His work frequently addresses fundamental questions in theoretical computer science with practical implications for algorithm design. A notable trend in his research is the development of nearly-linear-time algorithms for various graph problems, which represents significant improvements over previous approaches. NSF CAREER Award Alfred P. Sloan Research Fellowship NEC Award for Research in Computers and Communication Sprowls Doctoral Dissertation Award Best Student Paper Award at STOC 2004 Best Paper Award at STOC 2011 Kokusai Denshin Denwa Junior Faculty Chair 2008 Harold E. Edgerton Faculty Achievement Award 2011 School of Science Award for Excellence in Undergraduate Education 2012 Professor Kelner has been actively involved in mentoring students and has received recognition for his teaching excellence, including the School of Science Award for Excellence in Undergraduate Education in 2012. His research has been supported by prestigious grants including the NSF CAREER Award. He has collaborated extensively with researchers across multiple institutions, often working with other leading figures in theoretical computer science to produce groundbreaking results in algorithm design. At MIT, Kelner is part of both the Mathematics Department and CSAIL, positioning him at the intersection of theoretical mathematics and practical computer science. This dual affiliation reflects the interdisciplinary nature of his work, which bridges pure mathematical theory with concrete algorithmic applications.

• Algorithms
• Spectral Graph Theory
• Combinatorial Optimization
• +۷ مورد دیگر

Rick Hoyle is a Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Chair of the Department of Psychology and Neuroscience. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His academic career spans decades, with significant contributions to understanding self-regulation and adolescent development. Dr. Hoyle earned his B.A. from Appalachian State University (1983), followed by an M.A. (1986) and Ph.D. (1988) from the University of North Carolina, Chapel Hill. He progressed from Assistant to Associate to Full Professor at the University of Kentucky from 1989 to 2003 before joining Duke University. His research focuses on how adolescents and emerging adults manage goal pursuit through self-regulation, taking a broad view that accounts for personality, environment, cognition, emotion, and social influences. He employs longitudinal methods with repeated assessments, sometimes spanning years with data collection multiple times per year, or intensive studies with assessments several times daily. His lab develops innovative measurement tools including self-report measures of self-control and grit, as well as unobtrusive approaches using mobile phones and wearable devices to track goal pursuit in natural settings. His recent publications reveal a strong focus on self-regulation in digital contexts, adolescent substance use, socioeconomic influences on development, and innovative measurement approaches. His work increasingly integrates technology (social media analysis, wearable devices) with traditional psychological research methods to understand real-world behavior. Fellow, Association for Psychological Science (2013) Dr. Hoyle has secured numerous research grants totaling millions of dollars, including the current Real-Time and Randomized Tests of Social Media and Mental Health Links in Early Adolescence (2024-2029), NCCU Duke - Substance Use Research & Education (2024-2029), and Mid-Life Health Inequalities in the Rural South: Risk and Resilience (2023-2028). His grant portfolio demonstrates sustained funding for research on adolescent development, substance use, self-regulation, and health disparities. He teaches advanced courses including Applied Structural Equation Modeling and Psychology and Neuroscience Grant Writing, mentoring the next generation of researchers in quantitative methods and research design. His work through the Center for the Study of Adolescent Risk and Resilience (2008-2025) has established a significant research infrastructure for longitudinal studies of adolescent development. Current projects examine social media effects on mental health, substance use patterns, and the impact of environmental factors on adolescent well-being using innovative digital tracking methods.

• Self-Regulation
• Adolescent Development
• Goal Pursuit
• +۵ مورد دیگر

Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.

• Educational Science
• Empirical Research in Education
• Student Motivation
• +۵ مورد دیگر

Laura E. Brumariu is a Professor and Associate Dean for Professional Programs and Student Advancement at the Gordon F. Derner School of Psychology, Adelphi University. She holds a Ph.D. from Kent State University and completed postdoctoral research fellowships at Harvard Medical School. Her office is located in the Hy Weinberg Center, and she is licensed as a psychologist in New York State. Education: Postdoctoral Research Fellow, Harvard Medical School/CHA/MGA (2013) Postdoctoral Research Fellow with Clinical Attributions, Cambridge Health Alliance/Harvard Medical School (2012) Ph.D., Kent State University (2010) Her research adopts a developmental psychopathology perspective, focusing on how parent-child attachment influences emotional and social development, particularly in middle childhood. She investigates emotion regulation, anxiety, disorganized attachment, role-confusion, and family processes related to borderline personality features and dissociation. She developed the Middle Childhood Attachment Strategies Coding System and leads the Child and Adolescent Research (CARE) Lab. Her recent work emphasizes meta-analytic reviews on emotion socialization, attachment, anxiety, and empathy. Her most recent publications reflect trends in attachment theory, emotion regulation, parenting, and internalizing disorders across development, often using meta-analytic and longitudinal methods. Much of her work integrates international collaboration, especially with Romanian researchers. Scientific Awards and Honors: Clinical Research Training Program, Harvard Medical School, Research Fellow (2010–2012) The Jeanette and Louis Reuter Fellowship in Developmental Sciences, Kent State University (2008–2009) She has mentored numerous doctoral students whose research spans topics such as gratitude, empathy, emotion socialization, and trauma. She teaches courses in psychological research, family therapy, and doctoral thesis supervision. She has secured research funding and collaborates extensively on studies related to child and adolescent mental health, though specific grants are not detailed in the text. Her professional activities include frequent presentations at major psychological conferences such as the Association for Psychological Science and the International Attachment Conference. Labs and Research Teams: She directs the Child and Adolescent Research (CARE) Lab at Adelphi University, which focuses on attachment, emotion regulation, and psychopathology in children and adolescents. The lab conducts both observational and survey-based research and trains graduate students in developmental and clinical methods.

• Developmental Psychopathology
• Attachment Theory
• Emotion Regulation
• +۱۲ مورد دیگر

Xiaolei Fan is an Associate Professor in the Department of Chemical Engineering at The University of Manchester. He holds a BEng in Environmental Engineering from Jilin Institute of Chemical Technology (2003), an MRes in Chemical Engineering from East China University of Science and Technology (2006), and a PhD in Continuous Flow Heterogeneous Catalysis from the University of Bath (2010). His research focuses on nonthermal plasma catalysis, CO2 conversion, catalytic biorefinery, and zeolite-based catalysts. He has contributed to over 180 publications, supervised 20+ students, and led projects like the EU-funded SPACING initiative for biofuel production. Research interests include porous materials, reaction engineering, and process intensification through structured reactors/catalysts. He chairs the RSC Heterogeneous Catalysis committee and has organized conferences like the International Conference on Environmental Catalysis. His work aligns with UN Sustainable Development Goals, particularly in clean energy and sustainable chemistry. Education: BEng (Environmental Engineering), Jilin Institute of Chemical Technology, 2003 MRes (Chemical Engineering), East China University of Science and Technology, 2006 PhD (Chemical Engineering), University of Bath, 2010 Awards: Lee Hsun Lecture Award (2018) Zhenxing Scholar Professor Award (2018) Outstanding Achievement Recognition (2018) Grants/Projects: SPACING: Sustainable Production of ACrylic Acid from Renewable Waste Glycerol (2021–2024) Labs/Teams: Catalysis and Porous Materials Group at The University of Manchester

• Nonthermal Plasma Catalysis
• Catalytic CO2 Conversion
• Zeolite-Based Catalysis
• +۵ مورد دیگر

Nathan W. Hudson is an Associate Professor in the Department of Psychology at Southern Methodist University (SMU) in Dallas, Texas. Previously, he received his Ph.D. in Psychology from the University of Illinois at Urbana-Champaign in 2016. His research focuses on personality psychology, particularly how people's personalities change across time and how individuals function in romantic relationships. He leads the Δ Lab at SMU, which investigates individual differences in human personality. Education: 2016 – Ph.D., Psychology, University of Illinois at Urbana-Champaign 2011 – M.A., Psychology, University of Illinois at Urbana-Champaign 2009 – B.A., Purdue University Nathan Hudson's primary research area is volitional personality change—people's desires and attempts to change their own personality traits. His groundbreaking research has shown that approximately 90% of people want to change aspects of their personality traits, and moreover, they may be able to find some degree of success in doing so. He also studies adult attachment styles and how people function in close relationships. Hudson's work suggests that attachment anxiety is linked to false memories, and that people's attachment styles can change over time. His research integrates both theoretical and applied perspectives, with implications for therapeutic interventions and personal development. Hudson's recent publications demonstrate a clear trajectory toward understanding the mechanisms of personality change and developing effective interventions. His work spans across multiple domains of personality psychology, with a particular emphasis on the Big Five personality traits, attachment theory, and well-being. A consistent theme throughout his research is examining how people's desires for change translate into actual personality growth. His work has increasingly focused on the practical applications of personality science, including developing measures and interventions that can help people achieve their desired personality changes. Scientific Awards: Goss-Lucas Award for Excellence in Teaching James Davis Fellowship Foundation for Personality and Social Psychology Heritage Dissertation Award Hudson actively mentors students in the Δ Lab at SMU, where they conduct research on personality change, attachment, and well-being. He has secured multiple grants to support his research on volitional personality change and the development of personality assessment tools. His lab has developed several psychological measures, including the Change Goals Big Five Inventory (C-BFI2) and its variants, which are freely available for academic research. Hudson also engages with the public through his TEDx talk "You Can Change Your Personality" and has been featured in Olga Khazan's book "Me, But Better," which applies his research to real-life settings. The Δ Lab, led by Hudson, is dedicated to understanding individual differences in personality and how people can intentionally change aspects of themselves. The lab values all individual differences among humans, recognizing that variance in human thoughts, feelings, and behaviors is adaptive and makes humanity resilient. The lab wholeheartedly supports the LGBTQ+ community and emphasizes that individual differences between humans are what personality science is all about.

• Volitional Personality Change
• Personality Psychology
• Adult Attachment
• +۴ مورد دیگر

Dr. Omkar Prabhakar Dastane is a Senior Lecturer and Director of Postgraduate Studies at the Malaysia School of Business, Monash University Malaysia. He holds a PhD in Business from Curtin University and certifications including Certified Management and Business Educator (CMBE) from CABS, UK, and HRDF-approved trainer status in Malaysia. His research focuses on technological impacts on businesses, digital consumer behavior, and customer value perception, with publications in A-ranked journals like the Journal of Retailing and Consumer Services and Asia Pacific Journal of Marketing & Logistics . He has secured MYR 157,549 in research grants and received notable awards like the Best Paper Awards (2017/2018) and Emerald Literati Award (2024). Dr. Dastane has held leadership roles including Head of MBA Programs and Head of Postgraduate Studies at top-tier institutions. He actively contributes to editorial roles for journals like Arab Gulf Journal of Scientific Research and reviews for SSCI/SCIE-indexed publications. His teaching emphasizes strategic branding and services marketing, integrating AR/VR tools for immersive learning. He has also led educational visits across ASEAN countries. His research interests span metaverse applications in business, immersive technologies, and contemporary consumer behavior trends. Recent work explores AI-driven services, live-stream commerce, and digital transformation's role in achieving UN SDGs. He has advised on over 200 research projects and secured multiple teaching grants including the 2025 Learning & Teaching Grant.

• Technological Influence on Businesses
• Digital Consumer Behaviour
• Customer Value Perception
• +۵ مورد دیگر

Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.

• Drug Delivery
• Sensing Technologies
• Nanotechnology
• +۳ مورد دیگر