جست‌وجوی استاد و پژوهشگر

• Global Navigation Satellite System (GNSS)
• GNSS Integrity
• High Accuracy Positioning
• +۱۲ مورد دیگر

Dr. Shaojun Feng is an Honorary Principal (Professorial) Research Fellow at the Centre for Transport Studies within the Department of Civil and Environmental Engineering, Faculty of Engineering, Imperial College London. He is a leading expert in Global Navigation Satellite Systems (GNSS), with over thirty years of research experience focusing on GNSS integrity, high-accuracy positioning, augmentation systems, and functional safety for autonomous and safety-critical applications. His research interests span a wide range of topics including GNSS integrity monitoring, precise point positioning (PPP), real-time kinematic (RTK), ionospheric modeling, spoofing detection, software-defined receivers, and integrated navigation systems. He has made pioneering contributions to the development of GNSS correction services with integrity, enabling lane-level navigation in smartphones and certified use in autonomous vehicles. His work bridges theoretical advances with real-world deployment, notably through a commercial service benefiting over 1.5 billion users. The recent publications highlight a strong focus on ionospheric modeling and correction using machine learning (e.g., LSTM, ConvLSTM), sparse reconstruction techniques in tomography, and integrity-aware positioning for autonomous systems. There is a clear trend toward integrating AI with GNSS, improving real-time accuracy, and ensuring safety through robust integrity monitoring—especially in multi-constellation environments (GPS, Galileo, BeiDou). Dr. Feng has been recognized with several prestigious honors: Michael Richey Medal, Royal Institute of Navigation ESA certification for leading Galileo receiver development Recognition by UK Space Agency for UK leadership in Galileo adoption SGS certification for safety-critical GNSS correction service He is actively involved in the academic and standards communities, serving as Associate Editor for the Journal of Navigation and GPS Solutions , and as Chairman of WG3 in RTCM Special Committee 134, which develops international standards for GNSS integrity monitoring. He is a Chartered Engineer (CEng) and Fellow of both the Institution of Engineering and Technology (FIET) and the Royal Institute of Navigation (FRIN), the latter presented by HRH Prince Philip. His leadership in research, editorial roles, and standardization underscores his significant impact on the field of navigation and positioning. Dr. Feng leads research initiatives at Imperial College London with strong industry and agency collaborations, including with the European Space Agency and SGS. His work on integrity-certified GNSS services represents a major advancement in positioning for autonomous systems, with implications for future smart mobility, transportation safety, and resilient navigation infrastructure.

• Civil Engineering
• Sustainable Construction
• Building Information Modeling (BIM)
• +۵ مورد دیگر

BEDDIAR Karim is an Assistant Professor and Head of Research and Innovation at CESI (West), an engineering school in France. He holds a PhD and MSc in Civil Engineering from École Nationale des Ponts ParisTech (2001) and a DUT in Civil Engineering from IUT Nancy-Brabois (1997). His professional experience includes roles as Head of Research and Innovation (2013–present), Head of Continuing Education in Civil Engineering (2010–2013), and Program Leader for post-MSc programs in civil engineering. He has coordinated numerous French/European research projects, advised 4 PhD theses, and teaches subjects such as sustainable construction, building materials, and project management. His research focuses on concrete durability , sustainable city development , and building information modeling (BIM) . He has pioneered integration of BIM with lean principles, VR/AR technologies, and blockchain for smart grids. He also serves as a Visiting Professor at Northumbria University (UK) and an external examiner at Abertay University (UK). Key achievements include the Ponts ParisTech Best Thesis Award (2001) , leadership in EU-funded projects like NovBuild and S2E2, and over 70 publications in journals like Energies and conference proceedings. His work bridges innovation in construction technology with practical applications in energy efficiency, smart buildings, and digital transformation. Education : PhD/MSc Civil Engineering, École Nationale des Ponts ParisTech (2001) DUT Civil Engineering, IUT Nancy-Brabois (1997) Awards : Ponts ParisTech Best Thesis in Soil Mechanics (2001) Grants/Projects : EU-funded research on BIM and sustainable construction French/European projects on energy management Labs/Teams : Research team at CESI focusing on innovation in construction

George Giaglisمشاهده پروفایل

استاد

• Blockchain Technology
• Internet of Things (IoT)
• Pervasive Information Systems
• +۶ مورد دیگر

Professor George Giaglis is a prominent academic in the School of Business at the University of Cyprus, serving as Director of the Institute for the Future. He holds a PhD in Information Systems from Brunel University and a BSc (Hons) in Information Systems from the Athens University of Economics and Business. His academic journey includes roles such as Professor, Vice Rector, and Associate Professor at the Athens University of Economics and Business (2002–2017) and prior positions at the University of the Aegean and Brunel University. His research focuses on blockchain technology, IoT, digital currencies, and pervasive information systems. He has contributed to over 200 publications, exploring topics like blockchain integration in marine systems, NFTs, CBDCs, and social network dynamics. His work bridges technology and business, addressing digital transformation challenges and ethical implications of emerging technologies. Giaglis has organized major conferences like Decentralized 2019 and contributed to EU blockchain policy discussions. His research emphasizes practical applications of technology in sectors like healthcare, finance, and urban logistics. Despite prolific output, no specific awards are noted, though his h-index of 25 reflects significant academic impact. His current roles involve advancing the Institute for the Future’s projects, advising on digital innovation strategies, and mentoring researchers in decentralized systems. Ongoing work includes exploring AI-blockchain synergies and regulatory frameworks for digital currencies.

Christoph Van der Elstمشاهده پروفایل

استاد

• Corporate Law and Sustainability
• Sustainable Corporate Governance
• Shareholder Activism
• +۵ مورد دیگر

Christoph Van der Elst is a Full Professor of Business Law and Economics at Tilburg Law School, affiliated with the Private, Business, and Labour Law department. He holds visiting professorships globally and is a member of the Belgian bar and ECGI. His research focuses on corporate law and sustainability, shareholder activism, and empirical legal analysis. Active in interdisciplinary projects like 'Connecting Responsible Organizations,' he explores topics such as sustainable governance, ESG reporting, and legal tech applications in blockchain and corporate governance. He has over 150 publications, including works on shareholder sustainability questions, SFDR reporting, and auditor selection processes. External roles include membership in the NWO Scientific Advisory Board and the Scientific Advisory Committee of Tilburg Law School. Education: Research Assistant, Financial Law Institute (Ghent University, 1995–2001) Attorney at the Belgian Bar (since 1995) Professorial roles at Ghent University (2001–2005) and Tilburg University (2005–present) Research Interests: Corporate Law, Sustainability, Shareholder Activism, Legal Tech, Blockchain Governance, ESG Compliance. Recent Work Trends: Analysis of shareholder engagement mechanisms, legal frameworks for digital governance (DAOs, blockchain), and corporate sustainability reporting strategies. Recent articles highlight the strategic use of shareholder questions in Dutch AGMs and the role of legal tech in corporate decision-making. Grants & Projects: Leads projects on corporate governance dynamics, sustainable business reporting, and the legal implications of financial innovations. Collaborations include global networks on corporate law and economic policy. Labs/Teams: Part of Tilburg Law and Economic Center (TILEC) and the 'Connecting Responsible Organizations' research program, fostering interdisciplinary legal and economic research.

Markus K. Brunnermeierمشاهده پروفایل

استاد

• Resilience in Economic Systems
• Financial Crises and Liquidity
• Monetary Policy
• +۴ مورد دیگر

Markus K. Brunnermeier is the Edwards S. Sanford Professor of Economics at Princeton University, where he also directs the Bendheim Center for Finance. His research spans resilience, international financial markets, monetary theory, and macroeconomics, with a focus on bubbles, liquidity, financial crises, and digital money. A prolific author, his notable books include A Crash Course on Crises , The Resilient Society , and The Euro and the Battle of Ideas . Ph.D. from the London School of Economics (1999) Doctor honoris causa from the University of Regensburg (2022) Markus has pioneered concepts like liquidity spirals, CoVaR (a systemic risk measure), the Volatility Paradox, Financial Dominance, European Safe Bonds (ESBies), and the Reversal Rate. His work frequently intersects with policy, advising institutions like the IMF, Federal Reserve Bank of New York, European Systemic Risk Board, German Bundesbank, and U.S. Congressional Budget Office. His recent publications reflect a focus on systemic risk, digital currencies, and financial crises, spanning topics from the German hyperinflation to mobile money and blockchain economics. His work has been recognized with awards such as the Smith Breeden Prize, Sloan Fellowship, Guggenheim Fellowship, and the Germán Bernácer Prize.

• Wireless Communications
• Telecommunications Policy
• Economic Impact of Technology
• +۹ مورد دیگر

Miquel Oliver Riera is a Full Professor at the Department of Information and Communication Technologies, Pompeu Fabra University. He received his Ph.D. from Universitat Politècnica de Catalunya in 1999 and holds additional degrees in Business Administration (UOC, 2009) and GloColl Executive Education (Harvard, 2011-12). He previously served as Associate Professor at UPC and Visiting Scholar at Rutgers University (1999). He leads the Networking and Strategies Research Group (NeTS) since its foundation and has held visiting positions at MIT (2013-14) and Columbia University (2011). His research focuses on Wireless Communications with a multidisciplinary approach integrating Regulation , Telecom Policies , and Economic Impact . He has authored over 120 papers, including 40 in ISI WoK Journals, 37.9% in SCOPUS Top 10% Journals. His work includes Blockchain applications in Supply Chains , 5G network protocols , and Smart Cities initiatives. His publications highlight trends in Wireless Networks , Blockchain Technology , and ICT for Urban Innovation . Over his career, he has secured 4 Best Paper Awards and received two Jaume Vicens Vives Distinctions for teaching quality. He has supervised 13 Ph.D. theses, holds 3 patents, and co-founded a spinoff company. His leadership roles include directing the Telefónica Chair and serving in UPF's government as Vice-Director and Vice-Rector for Institutional Strategy and Quality (2008-13, 2015-16).

Jean Muhammadمشاهده پروفایل

دانشیار

• Software Engineering
• Computer Science Education
• Cyber Security Education
• +۲ مورد دیگر

Jean Muhammad serves as Chair and Associate Professor in the Department of Computer Science at Hampton University's School of Science, specializing in software engineering, cybersecurity education, and leadership management. Her academic journey spans Florida State University (Ph.D., 2005), Illinois Institute of Technology (M.S., 1991), and Chicago State University (B.S., 1984), complemented by industry roles at AT&T Bell Labs and Nokia. Howard University: Business Administration (1968-1970) District of Columbia Teachers College: Business Education (1973-1975) Chicago State University: Computer Science B.S. (1984) Illinois Institute of Technology: Computer Science M.S. (1991) Florida State University: Computer Science M.S. (1999) Florida State University: Computer Science Ph.D. (2005) Her research bridges software engineering pedagogy with practical cybersecurity applications, focusing on risk management frameworks and inclusive technology education. Key initiatives include developing curricula for underrepresented students and analyzing ethical implications of autonomous systems through interdisciplinary collaborations. Recent publications reveal strong trends in applied AI ethics (autonomous vehicles), healthcare technology integration, and cybersecurity awareness across demographics. Her work consistently addresses societal impacts of technology, with 70% of recent publications involving student co-authors in undergraduate research symposia. NPSC Fellowship Award (1996) As primary advisor for 15+ undergraduate/graduate researchers, she has secured $8.4M in grants including NSF S-STEM scholarships ($622K), ONR cybersecurity training ($250K), and Amazon Robotics funding ($500K). Her leadership extends to the HU GETS-IA CyberCorps program and Apple/HBCU C2 partnerships. She co-advises the CyberCorps Scholarship for Service cohort and leads the Chair's Graduate School Club, fostering industry placements through partnerships with Lockheed Martin, IBM, and Deloitte while directing Hampton's cybersecurity research infrastructure.

David Guzmanمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Internet Decentralization
• Consensus Protocols
• +۳ مورد دیگر

David Guzman is a researcher at the Technical University of Munich (TUM) in the Department of Informatics, specifically working within the Chair of Connected Mobility (I11). His research focuses on distributed systems, internet decentralization, and consensus protocols. He teaches courses on Future Internet Protocols, Decentralization and Consolidation, and Internet Measurements. Dr. Guzman received his education in Information Technology from Technische Universität Berlin and Sorbonne Université, following an electronics engineering degree. His professional journey includes work at Huawei Research, the Information Theory Group at Freie Universität Berlin, the Ministry of Telecommunications, and the Central Bank of Ecuador where he contributed to the development of Ecuador's first Central Bank Digital Currency (Dinero Electrónico). His research interests center around the decentralization of the internet, distributed systems and consensus mechanisms, and multicast randomized protocol design. Guzman's work explores how network infrastructure can better support distributed consensus systems, with particular focus on improving communication efficiency, reducing latency, and ensuring finality in consensus processes. His research bridges theoretical networking concepts with practical implementations in blockchain and distributed ledger technologies. Analysis of Guzman's publication record reveals a strong focus on the intersection of networking infrastructure and distributed consensus systems. His recent work examines how multicast communication paradigms could improve the efficiency of permissionless distributed consensus at internet scale, addressing issues of communication cost, performance delays, and lack of finality that plague current peer-to-peer approaches. His research trajectory shows increasing specialization in network support for blockchain and distributed ledger technologies. Dr. Guzman has made significant contributions to the Internet Engineering Task Force (IETF), authoring the Internet-Draft 'Multicast Applicability for Distributed Consensus Systems' which proposes novel approaches to improving distributed consensus through network-level support. As part of the Connected Mobility research group at TUM, Guzman collaborates with Professor Jörg Ott and other researchers on advancing the state of internet protocols, particularly in the areas of decentralization and distributed systems. His work has practical implications for blockchain technologies, internet infrastructure, and the future evolution of decentralized networks.

Senad Bušatlićمشاهده پروفایل

استاد

• Management
• Strategy
• Leadership
• +۵ مورد دیگر

Dr. Senad Bušatlić serves as a Full Professor of Management, Organization, and Strategy at the International University of Sarajevo (IUS), where he holds key administrative roles including Head of the Department of Economics and Management, Coordinator of the Leadership and Entrepreneurship Center, and active IUS Senate member. His extensive leadership extends to former positions as Vice Rector, Vice Dean, and Acting Dean, significantly shaping university strategy and policy implementation since 2010. His research spans Management, Strategy, Leadership, and Innovation with regional focus on Bosnia and Herzegovina. Core interests include organizational performance, tourism innovation, quality assurance, and human resource management, addressing practical business challenges in post-conflict economies and multinational contexts. His work bridges theoretical frameworks with real-world applications in public and private sectors. Recent publications reveal evolving research trajectories toward technology integration (IoT, blockchain in smart cities), value-based leadership models, and cross-cultural management studies. His 50+ scientific papers demonstrate consistent focus on leadership dynamics, employee engagement, and strategic management applications across hospitality, banking, and healthcare sectors in the Balkans. Dr. Bušatlić has mentored 30 graduate students while leading four major multi-stakeholder research projects involving hundreds of participants. His industry background includes executive roles at Coca-Cola, Procter & Gamble, and Henkel, providing practical insights that inform his academic work and grant-funded initiatives on organizational development. Through the Leadership and Entrepreneurship Center, he cultivates academic-industry partnerships that drive leadership development programs, entrepreneurial training, and innovation ecosystems connecting IUS students with regional business communities.

Hui Yangمشاهده پروفایل

استاد

• Artificial Intelligence
• Nonlinear Dynamics
• Smart Manufacturing
• +۷ مورد دیگر

Hui Yang is a Professor of Industrial and Manufacturing Engineering and Biomedical Engineering at Pennsylvania State University , holding the Gary and Sheila Bello Chair Professor title. He is affiliated with multiple institutions including the Penn State Cancer Institute , Clinical and Translational Science Institute , and Institute for Computational and Data Sciences . Currently serving as PI and Site Director of the NSF Center for Health Organization Transformation (CHOT) , his career includes leadership roles in professional societies such as IISE Data Analytics and Information Systems Society (President 2017-2018) and INFORMS Quality, Statistics and Reliability (QSR) society (President 2015-2016). As Associate Editor for journals like IISE Transactions , IEEE JBHI , and IEEE Transactions on Automation Science , he maintains strong editorial influence. His research integrates nonlinear stochastic dynamics with sensor-based system informatics to advance both smart manufacturing and healthcare engineering . Recent work explores digital twin technologies , blockchain applications , and AI-driven disease modeling for conditions like Alzheimer's and cardiovascular disease . Key scientific contributions include developing character-level linguistic biomarkers for early dementia detection, self-organizing network representations of cardiac systems, and privacy-preserving neural networks for Industry 4.0 environments. His research group has received significant external funding from NSF , DOE , and NIST to address challenges in heterogeneous manufacturing networks , adaptive failure prognosis , and spatiotemporal optimization . Fulbright Award in Science, Technology and Innovation (2022) IISE Fellow (2021) NSF CAREER Award (2015) Through his Virtual Learning Factory and SCOUT spatiotemporal framework , Yang bridges manufacturing analytics with health informatics , creating cross-domain methodologies for system diagnostics/prognostics , process optimization , and smart health monitoring . His Cross Recurrence Analysis Toolbox provides open-source methods for nonlinear time series analysis.

Christoph Eggerمشاهده پروفایل

استادیار

• Cryptography
• Computational Complexity
• Statistical Privacy
• +۷ مورد دیگر

Christoph Egger is an Assistant Professor at Chalmers University of Technology in the Department of Computer Science and Engineering, where he works with the Security & Privacy Lab and the Crypto Team. Prior to this position, he was a Marie-Curie Fellow at Institut de Recherche en Informatique Fondamentale (IRIF) from fall 2022 to 2024, researching connections between cryptography and complexity theory. His educational background includes: PhD: "On Abstraction and Modularization in Protocol Analysis" Master's: "An implementation of global caching for the alternation-free coalgebraic μ-calculus" Bachelor's: "Analysing and attacking the I2P Network Database" Dr. Egger's research focuses on cryptography and its connections to computational complexity, statistical privacy, and formal methods. His work spans multiple areas including cryptographic foundations (random oracles, key agreement protocols), privacy-enhancing technologies (ring signatures, information flow techniques), and practical applications in genomic data security. He develops both theoretical frameworks and practical tools like CryptoZoo for cryptographic proof visualization, bridging the gap between theoretical cryptography and real-world security challenges. His recent publications demonstrate a strong focus on cryptographic foundations and privacy technologies, with significant contributions to ring signatures, key agreement protocols, and genomic data security. His work bridges theoretical cryptography with practical applications in blockchain, anonymous communications, and healthcare data management, showing consistent productivity across multiple high-impact venues in security and privacy. Dr. Egger has served on program committees for prestigious conferences including IEEE Computer Security Foundations Symposium (CSF), Proceedings on Privacy Enhancing Technologies (PETS), and Conference on Applied Cryptography and Network Security (ACNS). He currently advises PhD students Lucia Lavagnino at Chalmers and Kirthivaasan Puniamurthy at Aalto University. Previously, he advised Master's students including Julian Brost and Kirthivaasan Puniamurthy. His Marie-Curie Fellowship was cofunded by EU H2020 Marie Sklodowska-Curie Action and FSMP Comunity Service. Dr. Egger is an active member of the Security & Privacy Lab and Crypto Team at Chalmers. He is also a founding member of the FAUST CTF team and has been a Debian Developer for over a decade, contributing to various Free Software projects including the Linux kernel and Git version control system, demonstrating his commitment to both academic research and practical software security.

Lei Chenمشاهده پروفایل

استاد

• Data-Driven Machine Learning
• Crowdsourcing-Based Data Processing
• Uncertain and Probabilistic Databases
• +۳ مورد دیگر

Lei Chen is a Chair Professor and Director of HKUST Big Data Institute at the Hong Kong University of Science and Technology , where he has served since 2005. His research spans data-driven machine learning , crowdsourcing systems , and uncertain database processing , with notable contributions in privacy-preserving spatial queries and graph neural networks . Ph.D. in Computer Science, University of Waterloo (2004) MS in Computer Science, Asian Institute of Technology (1997) BS in Computer Science, Tianjin University (1994) His work focuses on: Spatial Crowdsourcing - Efficient task assignment and privacy frameworks Graph Processing - Novel indexing for heterogeneous networks Explainable AI - Human-centric model interpretation techniques Uncertain Data - Probabilistic query processing with crowdsourcing Recent publications cluster around secure data federation , distributed graph training , and privacy-preserving mobility systems , reflecting his leadership in ACM and IEEE communities. Students include 15 active Ph.D. candidates and 20+ graduated researchers now at institutions like BeiHang University and Huawei Noah's Ark Lab . Awards: ACM Fellow (2024), VLDB Best Paper (2022), SIGMOD Test-of-Time Award (2015).

• Adversarial Risk Analysis
• Dynamic Networks
• Human Rights Statistics
• +۲ مورد دیگر

David Banks is Professor of the Practice of Statistics at Duke University, specializing in adversarial risk analysis and network modeling. With an MS in Applied Mathematics (1982) and PhD in Statistics (1984) from Virginia Tech, he held positions at Carnegie Mellon, NIST, USDOT, FDA, and Cambridge University before joining Duke in 2003. Research develops Bayesian methods for security applications including counterterrorism, autonomous systems, and blockchain. Authored 100+ refereed articles and books including the DeGroot Award-winning 'Adversarial Risk Analysis'. Current projects examine MEV distribution in blockchain and defense resource allocation under uncertainty. Honored with the American Statistical Association's Founders Award (2015) and fellowships in AAAS, IMS, and ASA. Leads NSF-funded initiatives including the Statistical and Applied Mathematical Sciences Institute (2018-2022). Editorial contributions include coordinating editor for JASA and founding editor of Statistics and Public Policy. Active in human rights statistics, co-editing 'Statistical Methods for Human Rights' and developing multiple systems estimation for trafficking victim counts.

CHANG Ee Chienمشاهده پروفایل

دانشیار

• Information Security
• Cloud Security
• Adversarial Machine Learning
• +۶ مورد دیگر

CHANG Ee-Chien is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He serves as the Lead Principal Investigator of the National Cybersecurity R&D Laboratory (NCL) and previously served as Deputy Director of the Center for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) from 2019 to 2022. He also chaired the Joint Academic Committee for the Bachelor of Computing in Information Security program from 2016 until April 2023. Dr. Chang received his Ph.D. in Computer Science from New York University in 1998, following his M.Sc. and B.Sc. in Mathematics from the National University of Singapore in 1993 and 1991 respectively. He completed postdoctoral work with DIMACS at Rutgers University and NEC Labs America. His research focuses on information security, multimedia security, and their intersection. His work spans from foundational research in cryptographic techniques for noisy data and image watermarking to contemporary challenges in data privacy, cloud security, and adversarial machine learning. Dr. Chang has published extensively in top-tier security and computer science venues including CCS, EUROCRYPT, USENIX Security, and ACM Multimedia. Analysis of his recent publications reveals a strong emphasis on practical security solutions using hardware features like Trusted Execution Environments, innovative approaches to watermarking using generative models, and addressing emerging threats in machine learning systems. His work bridges theoretical cryptography with real-world security challenges, particularly in cloud infrastructure and privacy-preserving technologies. Active leadership in National Cybersecurity R&D Laboratory Extensive service on program committees for major security conferences Consultancy roles with Huawei, i-Sprint, and Singapore Accreditation Council Media commentary on cybersecurity issues for major Singaporean outlets Dr. Chang has mentored numerous research fellows and students who have gone on to academic and industry positions worldwide. His educational contributions include developing cybersecurity curriculum and innovative teaching methods such as penetration testing using real-world university applications. He has taught core security courses including CS2107 Introduction to Information Security continuously since 2014.

Joy Luمشاهده پروفایل

استادیار

• Consumer Behavior
• Marketing
• Online Learning
• +۷ مورد دیگر

Joy Lu is an Assistant Professor of Marketing at the Tepper School of Business, Carnegie Mellon University, where she has been a faculty member since July 2018. She also held the Xerox Junior Faculty Chair position from July 2023 to July 2024. Her research focuses on consumer behavior, information search processes, and digital media consumption patterns, with particular expertise in eye-tracking methodologies and online learning environments. Education: PhD in Marketing/Dual AM in Statistics, University of Pennsylvania, 2018 BS in Economics and Engineering & Applied Science, California Institute of Technology, 2013 Dr. Lu's research examines how consumers navigate information in digital environments, with a particular focus on eye-tracking studies of web page interactions. She has made significant contributions to understanding binge-watching and media consumption patterns, exploring how consumers plan and allocate time for future media consumption. Her research on online learning investigates how different content delivery formats affect learner engagement and outcomes. Additionally, she has explored topics in algorithmic transparency and how explainable AI can aid consumer decision making, particularly for vulnerable populations. Analysis of Dr. Lu's recent publications reveals a strong focus on digital consumer behavior, particularly how users interact with online content. Her work combines rigorous experimental methods with sophisticated modeling approaches to understand complex decision processes. A recurring theme is how consumers allocate attention and time in digital environments, whether for shopping, learning, or entertainment. Her research has important implications for website design, educational platform development, and content delivery strategies across multiple industries. Scientific Awards: 2020 Carnegie Bosch Institute Research Award 2019 Carnegie Bosch Institute Research Award 2013 David M. Grether Prize in Social Science Russell Ackoff Doctoral Student Fellowship Patty and Jay H. Baker Ph.D. Fellowship Innovative Models for Undergraduate Research Fellow (2020-2021) Dr. Lu serves on the editorial board of the Journal of Marketing Research and has conducted peer reviews for prestigious journals including PLoS ONE, Journal of the Academy of Marketing Science, and the Journal of Marketing Research. She has also reviewed for major conferences including the Society for Consumer Psychology and the Association for Consumer Research. Her research has been supported by grants from organizations such as the Jay H. Baker Retailing Center and the Wharton Behavioral Lab at the University of Pennsylvania. While specific laboratory information isn't provided in the available text, Dr. Lu's research involves sophisticated methodologies including eye-tracking experiments and analysis of large-scale user behavior data from online platforms. Her work suggests collaboration with interdisciplinary teams spanning marketing, psychology, and information systems to investigate complex consumer decision processes in digital environments.