جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Professor Andrew Hudson-Smith is the Director of the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London (UCL), where he holds the title of Professor of Digital Urban Systems. He leads UCL's academic and applied research in smart cities, digital twins, and urban informatics. His roles include Editor-in-Chief of the Future Internet Journal and academic lead for the Smart Queen Elizabeth Park project. He contributes to strategic initiatives such as the Greater London Authority Smart London Board and EPSRC Digital Economy Programme Advisory Board. Education: PhD (2003), MSc (1996) from UCL; BSc in Geography from the University of Plymouth (1992). Research focuses on digital urban systems, IoT applications, sustainable urban planning, and cyberphysical systems. Notable projects include urban heat island monitoring, participatory planning platforms, and metaverse-driven urban design. His work bridges technology, art, and public engagement, exemplified by initiatives like Tales of Things and the Haggle-O-Tron. Recent publications emphasize digital twins, metaverse urbanism, and IoT integration in urban environments. Awards include a Fellowship of the Royal Society of Arts. His work addresses SDGs 3 (Good Health) and 11 (Sustainable Cities), with a focus on equitable smart city development and public space innovation.

• Digital Urban Systems
• Smart Cities
• Internet of Things (IoT)
• +۷ مورد دیگر

Sainyam Galhotra is an Assistant Professor in the Department of Computer Science at Cornell University. His research focuses on developing data science tools for trustworthy analytics, integrating causal inference, data management, and machine learning to enhance robustness, explainability, and fairness in algorithmic systems. PhD: University of Massachusetts Amherst (2020), advised by Barna Saha B.Tech: Indian Institute of Technology Delhi (2014), advised by Amitabha Bagchi Postdoctoral Research: University of Chicago (Computing Innovation Fellow) His work spans artificial intelligence, causal inference, and responsible data science, emphasizing ethical algorithm design and reliable data integration. Recent publications highlight advancements in fair clustering, causal feature selection, and entity resolution frameworks. His research trends from 2023–2024 include contributions to spatio-temporal data correlation, community detection in geometric graphs, and distribution-aware dataset search. Key themes are fairness in machine learning, causal modeling, and scalable data management solutions. Computing Innovation Fellowship (2021) DAAD AInet Fellow (2021) ACM SIGMOD Entity Resolution Programming Contest Finalist (2021) Krithi Ramamritham Computer Science Scholarship (2019) BEST Paper Award in SIGSOFT FSE 2017 He actively seeks PhD or Master’s students interested in data science and trustworthy AI. Contact via email: sg@cs.cornell.edu .

• Artificial Intelligence
• Causal Inference
• Database Systems
• +۴ مورد دیگر

Eva Ascarza is a Professor of Business Administration in the Marketing Unit at Harvard Business School (HBS) . She co-founded the Customer Intelligence Lab at HBS's D 3 Institute, focusing on responsible and effective customer data utilization. Research Interests include: Customer retention and churn analysis Algorithmic bias in marketing AI Field experimentation (A/B testing) for targeting optimization Customer lifetime value (CLV) modeling Dynamic personalization strategies Scientific Awards and Recognitions: 2023 Weitz-Winer-O'Dell Award (winner) 2022 Paul E. Green Award (PNAS publication) 2020 Marketing Science Institute (MSI) Scholar 2019 Erin Anderson Award for Emerging Female Scholar 2018 Paul E. Green Award (JMR publication) 2014 Frank M. Bass Outstanding Dissertation Award Her articles demonstrate cutting-edge applications of statistical modeling , Bayesian methods , and fair AI frameworks in modern marketing challenges.

• customer retention
• personalization and targeting
• marketing AI
• +۱۲ مورد دیگر

Stefan Bechtold is a Full Professor of Intellectual Property at ETH Zurich since 2013 and Associate Vice President IP Policy (2023–2026). He is affiliated with the ETH AI Center and serves on global advisory boards including the Academic Advisory Board of the German Federal Ministry for Economic Affairs and Climate Action. His interdisciplinary research bridges law, economics, and computer science.

• Intellectual Property Law
• Internet Law
• Privacy Law
• +۷ مورد دیگر

David Martens is a Professor of Data Science at the University of Antwerp , where he directs the Applied Data Mining Research Group within the Faculty of Business and Economics . He also serves as Chair of the Department of Engineering Management and Director of the Antwerp Center on Responsible AI . His academic work spans data mining , interpretable machine learning , and the societal impact of AI . PhD in Applied Economic Sciences (KU Leuven, 2008) Director, Antwerp Center on Responsible AI Chair, Department of Engineering Management Martens' research focuses on responsible AI and data ethics , with applications in finance, public policy, and behavioral analysis. His recent publications emphasize counterfactual explanations , LLM interpretability , and privacy implications in AI systems. His articles reveal trends in Explainable AI (XAI) , including narrative-driven explanations , graph neural networks , and ethical challenges like monetization risks and algorithmic bias. Keywords span Computer Science , Artificial Intelligence , and Behavioral Data . Martens is a leading voice in data science ethics , authoring the book Data Science Ethics: Concepts, Techniques, and Cautionary Tales (Oxford University Press, 2022). He combines academic rigor with industry experience, having consulted for banks, telecom firms, and startups in fraud detection and digital advertising .

• AI for Business
• Data Science
• Responsible AI
• +۵ مورد دیگر

Bram Duivenvoorde is an Associate Professor at the Molengraaff Institute for Private Law , Utrecht University , specializing in advertising law , consumer law , and e-commerce . He holds a PhD from the University of Amsterdam (2014) and combines academic research with practical legal experience, including roles as an attorney-at-law at Hoogenraad & Haak (2014-2020) and interim legal counsel at Heineken International (2018). His work focuses on digital society , personalized marketing , and AI regulation in consumer contexts. Education : PhD (UvA, 2014), LLM (Utrecht, 2009), LLB (Utrecht, 2007) Key Research Areas : Advertising Law, Consumer Law, Digital Regulation, EU Law, Personalized Marketing Recent publications analyze generative AI , deepfakes , and DSA compliance , emphasizing consumer protection in evolving digital landscapes. He supervises PhD candidates Thijs Kelder and Jorn Torenbosch and leads the LLM Honours Programme . Duivenvoorde contributes to European consumer law through RENFORCE initiatives and serves as Editor for journals like Intellectuele Eigendom en Reclamerecht .

• Advertising Law
• Consumer Law
• E-Commerce
• +۶ مورد دیگر

Prof. Dr. Michael Gröschel is a Professor of Business Informatics at the Faculty of Computer Science, Mannheim University of Technology. His expertise spans Business Process Management (BPMN, Process Mining), Digital Transformation, and innovative Business Models. He teaches courses on BPM, project management, and e-business, often collaborating with industry clients through student projects. As a consultant, he specializes in BPMN training and IT-driven business strategy. His work emphasizes practical applications of IT tools like RPA and low-code platforms. Recent publications focus on RPA bot performance evaluation, AI in automotive trade, and business model-IT alignment. Prof. Gröschel’s research bridges academic insights with real-world challenges, particularly in leveraging technology for business innovation. He has authored books and articles on business intelligence tools, mobile business strategies, and digital customer care. His consulting services include executive coaching for academic career advancement and enterprise IT management best practices. Office: Building A, Room 007c | Phone: +49 621 292-6764 | Professional website available for further engagement opportunities.

• Business Process Management
• Digital Transformation
• Business Models
• +۳ مورد دیگر

Michael Haenlein is a Professor of Marketing at ESCP Business School in Paris. He holds a Ph.D. from WHU, Otto Beisheim School of Management, and a Habilitation from Pantheon-Sorbonne University. His research focuses on the impact of emerging technologies such as AI, social media, and video gaming on businesses and consumers. He has published over 50 articles and received the 2021 Jan-Benedict Steenkamp Award for long-term academic impact. Haenlein serves on the editorial boards of journals like the Journal of Marketing and International Journal of Research in Marketing . He is actively involved in professional organizations, including the American Marketing Association (AMA) Academic Council and the European Marketing Academy (EMAC), where he chairs the Publications Committee. His work bridges academic research with industry applications, emphasizing digital transformation and strategic marketing. Recent publications explore topics like metaverse retailing, AI-driven consumer insights, and influencer marketing strategies. He advises companies across sectors such as telecommunications and finance on leveraging technology for competitive advantage.

• Artificial Intelligence (AI)
• Social Media Marketing
• Influencer Marketing
• +۳ مورد دیگر

Maureen Meadows is a Professor of Strategic Management at Coventry University's Research Centre for Business in Society. Her work focuses on strategic decision-making, big data applications, privacy in business models, and M&A dynamics. She previously held leadership roles at the Open University and Warwick Business School, where she contributed to strategic management education and research. Education: PhD in Open University (2016) MSc in Management Science from University of Warwick (1987) Bachelor of Arts in Mathematics (Oxford University, 1986) Research Interests: Strategic management tools (e.g., scenario planning), customer data analytics, privacy implications of data sharing, and post-merger integration. She has co-led projects on surveillance society blurring and privacy in the digital economy, funded by Leverhulme and EPSRC. Key Projects: Leverhulme-funded 'Taking Liberties?' (surveillance society) EPSRC-funded 'Monetize Me?' (privacy and quantified self) Co-designing digital strategies for museums and education sectors Grants & Collaborations: Multiple internally-funded projects on board assurance frameworks, creative accounting, and hybrid business models in museums. Active in international conferences and professional bodies like BAM Council. Awards: While no specific prizes are listed, her h-index of 24 and 1,891 citations reflect significant scholarly impact.

• Strategic Management
• Big Data Analytics
• Corporate Social Responsibility (CSR)
• +۳ مورد دیگر

Petri Mähönen is a Full Professor at the Department of Information and Communications Engineering , Aalto University. His research focuses on networked systems, machine learning applications in telecommunications, and smart grid technologies. University: Aalto University Department: Information and Communications Engineering Research Interests span networked systems, IoT security, UAV communication, and AI-driven network optimization. His work addresses predictive QoS in cellular-connected drones and generative adversarial networks for cybersecurity. Recent Publications include studies on GAN-based traffic augmentation, anomaly detection in mobile networks, and regulatory frameworks for data platforms. His articles reflect expertise in both theoretical and applied network science.

• Networked Systems
• IoT Security
• Machine Learning
• +۳ مورد دیگر

Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.

• Artificial Intelligence
• Marketing Analytics
• Digital Marketing
• +۴ مورد دیگر

Bert DE REYCK is the Dean of the Lee Kong Chian School of Business at Singapore Management University (SMU) and holds the rank of Professor of Operations Management. He holds a PhD in Business Economics from the University of Leuven, Belgium, along with an MSc in Business Information Systems and a BSc in Business Engineering from the same institution. His career includes roles as Founding Director and Professor at UCL School of Management (2015–2021), Professor and Head of Department at University College London (2009–2015), and various visiting professorships at institutions like London Business School and the University of Ghent. He has held academic positions since 1998, including Assistant and Associate Professor roles at prestigious institutions such as the London Business School and Rotterdam School of Management. DE REYCK’s research focuses on Operations Management, Business Analytics, and Project Management, with notable contributions to AI applications, transportation systems, and strategic sourcing. His work bridges theoretical rigor and practical impact, addressing challenges in project valuation, contract design, and operations optimization. He has received numerous accolades, including INFORMS’ AAS Best Paper Award (2022), multiple Daniel H. Wagner Prize recognitions, and teaching awards from London Business School and UCL. His research has been supported by grants from organizations like Eurocontrol, NHS, and private sector firms such as Vungle and Noble Group. DE REYCK has led significant industry collaborations, including projects on airport operations optimization, pharmaceutical R&D valuation, and AI-driven advertising strategies. His advisory work spans sectors like aviation, healthcare, and transportation, emphasizing real-world problem-solving through analytics and decision science.

• Operations Management
• Business Analytics
• Project Management
• +۳ مورد دیگر

Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.

• Marketing Strategy
• Brand Valuation
• Consumer Behavior
• +۷ مورد دیگر

Peter Huybers is a Professor of Earth and Planetary Sciences and Environmental Science and Engineering at Harvard University , where he investigates the climate system and its societal implications, including interactions between volcanism and glaciation , extreme temperature predictability , and climate change impacts on food production . Research interests span climate change attribution , paleoclimate reconstruction , drought dynamics , crop yield modeling , and earth system feedbacks . His work often integrates art-historical analysis with climate science, as seen in studies of 19th-century air pollution through Turner and Monet paintings . Scientific awards include funding from Harvard Data Science Initiative (2023) for projects on climate change and food supply volatility Amazon Web Services (2023) grant His 20+ peer-reviewed articles since 2020 focus on climate proxies , hydrological modeling , solar forcing , and agricultural-climate interactions , with recent work in Nature , PNAS , and Science Advances . Advising : Mentored 10+ PhD students including Parker Liautaud , Duo Chan , and Marena Lin , while leading research teams with current members like Greta Berendes and Caro Park . Former staff include Jon Proctor and Lucas Vargas Zeppetello , the latter now at UC Berkeley (2024).

• Climate change
• Paleoclimatology
• Environmental science
• +۸ مورد دیگر