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Christian KowalkowskiView profile

Assistant Professor

• Service Infusion
• Relationship Dynamics
• Service Innovation
• +2 more

Christian Kowalkowski is Assistant Professor of Marketing at Hanken School of Economics, affiliated with the Centre for Relationship Marketing and Service Management (CERS) in Helsinki. He obtained his PhD in 2008 from Linköping University and holds adjunct professorships in Industrial Marketing and Service Management. His research focuses on service infusion in product firms, relationship dynamics in B2B contexts, service innovation frameworks, solutions marketing strategies, and value-creation methodologies. His work bridges theoretical concepts with practical business applications. Kowalkowski's publications primarily explore the evolution of service-oriented business models, technological impacts on service operations, and pricing strategy development. His research demonstrates consistent focus on service ecosystem development and organizational transformation. Awards recognizing his scholarly contributions include: The Service Industries Journal Best Paper Award (2014) Emerald Citations of Excellence (2015) Literati Network Award for Excellence (2012) Månadens forskare (Researcher of the Month, 2011) He serves in editorial roles for multiple journals including Journal of Services Marketing and Industrial Marketing Management , and participates in PhD supervision and examination committees.

Guanglei HongView profile

Professor

• Causal Inference
• Social Policy Evaluation
• Child and Youth Development
• +3 more

Guanglei Hong is a Professor at the University of Chicago, holding tenure in the Comparative Human Development Department and the Committee on Education. She chairs the University-wide Committee on Quantitative Methods in Social, Behavioral, and Health Sciences and the Committee on Education. Her research focuses on causal inference methodologies for evaluating educational and social policies, particularly mediation and moderation effects in multi-level longitudinal studies. She developed the RMPW and MMWS methods, widely used in causal mediation analysis. Hong holds a Master’s in Applied Statistics and a Ph.D. in Education from the University of Michigan. Education: Ph.D. in Education, University of Michigan, 2004 Master's in Applied Statistics, University of Michigan, 2002 Research Interests: Hong’s work centers on causal moderation and mediation, spillover effects, and sensitivity analysis in policy evaluation. She applies these methods to assess impacts of educational programs, contextual changes, and socioeconomic factors on child/youth development. Her monograph *Causality in a Social World* (2015) is a foundational text in the field. Awards: John Simon Guggenheim Fellowship (2021–2022) William T. Grant Scholar Award (2009–2014) NAE/Spencer Postdoctoral Fellowship (2006–2007) AERA Mary Catherine Ellwein Dissertation Award (2005) Teaching & Training: Hong teaches advanced quantitative methods courses, including causal inference and mediation analysis. She leads the NSF-funded SIARM for STEM institute, training researchers in computational methods for education research. Notable courses include *Advanced Topics in Causal Inference* and *Mediation, Moderation, and Spillover Effects*. Grants & Leadership: Hong leads major grants from NSF, IES, and private foundations. Her current projects include methodological advancements for multisite trials and sensitivity analysis in mediation. She has co-authored over 60 peer-reviewed articles and edited volumes, and serves on editorial boards of leading journals. Labs/Teams: Hong directs the Quantitative Methods Group at the University of Chicago, fostering interdisciplinary collaborations in causal inference and policy evaluation. Her work integrates statistical innovation with real-world applications in education and health sciences.

Henri van SoestView profile

Professor

• Artificial Intelligence
• Machine Learning
• AI Governance
• +12 more

Henri van Soest is a Professor of Policy Analysis at the RAND School of Public Policy and a Senior Analyst at RAND Europe. He is based at RAND, a global policy research organization, where he leads studies on energy security, artificial intelligence governance, critical infrastructure protection, and European Union policy. His work supports key institutions including the European Union, UK government, and Dutch government. His research focuses on the intersection of technology and policy, particularly in energy systems and AI. Key areas include: AI governance and trustworthy AI tools Energy security and digitalisation of the power grid Critical undersea infrastructure protection Cybersecurity in energy systems Space technology regulation Societal resilience and national security The trend in his recent publications shows a growing emphasis on the dual-use nature of AI in critical infrastructure, balancing innovation with security and resilience. His work combines technical analysis with policy recommendations, often using modeling and expert elicitation. Much of his research addresses transatlantic and European policy challenges, especially in energy and security domains. Scientific contributions and policy impact are evident through frequent publications and expert submissions to governmental bodies. Notable outputs include evidence submissions to the UK Parliament and reports for the U.S. Department of Energy. While no formal awards are listed, his influence is reflected in high-level policy engagement. He has advised on grants and policy studies involving global teams, particularly in energy transition, AI infrastructure, and resilience planning. His prior experience includes energy policy research at the University of Oslo, cleantech analysis, and corporate governance in banking. He holds a Ph.D. from the University of Cambridge and a joint LL.M. from KU Leuven and the University of Zurich. Henri van Soest leads research within RAND Europe’s multidisciplinary teams focusing on science, technology, and security policy. His work often involves collaboration across international experts and institutions, particularly on EU and NATO-related security issues. He contributes to projects involving horizon scanning, Delphi studies, and quantitative modeling in policy contexts.

Donald RobertsonView profile

Professor

• Econometrics
• Applied Macroeconomics
• Financial Economics
• +3 more

Professor Donald Robertson is a faculty member at the University of Cambridge , holding the position of Professor of Economics and Director of Graduate Studies and PhD Programme within the Faculty of Economics . He is affiliated with Pembroke College and contributes to econometric research and graduate education. Research Interests : His work focuses on Econometrics , Applied Macroeconomics , and Financial Economics , with methodological expertise in Time Series Analysis , Panel Data Analysis , and Predictive Modeling . His publications address topics like cross-sectional dependence, unit root testing, and instrumental variable estimation. Teaching : He instructs modules such as Introduction to Probability and Statistics , Time Series Methods , and MPhil Prep Course - Statistics . Publications : Recent contributions include work on R² bounds for predictive models, factor residuals in panel data, and fiscal fatigue in debt ratios, reflecting his focus on econometric theory and macroeconomic applications. Contact : Email dr10011@cam.ac.uk or phone +44(0)1223 335270. Office hours by email appointment in Room 70.

Aybars TuncdoganView profile

Associate Professor

• Digital Innovation
• Information Security
• Marketing Strategy
• +3 more

Aybars Tuncdogan is a Reader in Digital Innovation and Information Security at King’s Business School, King’s College London. He holds affiliations with the King’s AI Institute, King’s Cybersecurity Centre (Informatics), and King’s Cybersecurity Group (War Studies). A Fellow of the Higher Education Academy, he also serves on the editorial review board of Industrial Marketing Management . Education : PhD in Management, Rotterdam School of Management, Erasmus University MPhil in Business Research (Distinction), Erasmus University Bachelor’s in Business Management & Computer Science (Honors), Earlham College Research Interests : His work focuses on three pillars of digital innovation: generation (crowdsourcing, AI), marketing (digital brand personality, sales ambidexterity), and protection (information security, corporate espionage). He integrates psychology (individual differences, social identity) and computer science (machine learning/AI) frameworks. Publications Trends : Recent work addresses cybersecurity challenges in retail, AI ethics in healthcare, and interdisciplinary innovation. He frequently publishes in top-tier journals like Journal of Management and Scientific American , blending academic rigor with practitioner impact. Awards & Contributions : 2015 Best Paper Award (shared) Edited books including Oxford Handbook of Individual Differences and Strategic Renewal Teaching & Pedagogy : Develops innovative teaching methods like inquiry-based learning to foster student creativity. Taught modules on digital marketing, consumer behavior, and research methods. Labs/Teams : Contributes to cybersecurity initiatives at King’s, focusing on AI-driven defense mechanisms and organizational cyber resilience strategies.

Nemanja StanišićView profile

Professor

• Corporate Finance
• Banking
• Audit
• +3 more

Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.

Michael Z. LevyView profile

Professor

• Vector-Borne Diseases
• Urban Epidemiology
• Zoonotic Diseases
• +6 more

Michael Z. Levy is a Professor of Epidemiology in the Department of Biostatistics and Epidemiology at the University of Pennsylvania Perelman School of Medicine. He co-directs the University of Pennsylvania/Universidad Peruana Cayetano Heredia Zoonotic Disease Research Laboratory in Arequipa, Peru, and holds secondary affiliations with the Center for Clinical Epidemiology and Biostatistics, Center for Public Health Initiatives, History and Sociology of Science, and Latin American and Latinx Studies. His research spans interdisciplinary domains including vector-borne diseases, computational biology, urban ecology, and social justice. Education: B.A. in Philosophy and Biology from Amherst College (1998), PhD in Population Biology, Ecology, and Evolution from Emory University (2007). Levy's work focuses on urban zoonotic diseases , particularly Chagas disease and canine rabies , integrating ecology, epidemiology, and computational methods. He investigates how insect vectors interact with social systems, housing policies, and climate change, extending to pandemic modeling during the Covid-19 crisis. His research group (28 members) collaborates with Peruvian Ministry of Health to control Chagas and rabies outbreaks in Arequipa. Notable contributions include novel geospatial surveillance models , behavioral economics applications for vector control, and bed bug epidemiology linking infestations to public health challenges. Recent publications highlight 2025-2024 trends in Chagas vector dynamics , zoonotic rabies control , vaccine strategies , and genomic outbreak analysis , emphasizing interdisciplinary approaches to urban disease ecology. He has participated in cluster randomized trials and behavioral design studies to improve community engagement in vector control campaigns in Peru, focusing on incentive mechanisms and surveillance equity . The Zoonotic Disease Research Lab in Arequipa employs interdisciplinary methods combining biological research , social science , and computational modeling to address urban disease transmission.

Paul GoulartView profile

Professor

• Robust and high-speed optimisation
• Control engineering
• Convex optimization
• +4 more

Professor Paul Goulart is a full Professor of Engineering Science at the University of Oxford and Tutorial Fellow at St Edmund Hall, positions he has held since 2014. He leads research and teaching in robust optimization, control systems, and high-speed numerical methods, with applications spanning fluid flows, traffic networks, and economics. Education SB & MSc, Aeronautics and Astronautics – Massachusetts Institute of Technology (MIT) PhD, Control Engineering – University of Cambridge (Gates Scholar, 2007) Research Interests Professor Goulart’s work lies at the intersection of control engineering and optimization . His core expertise includes: Robust and high-speed convex optimization Model predictive control (MPC) and control barrier functions Neural-network-based control and system identification Optimization over traffic and economic networks Real-time and embedded optimization solvers These interests are reflected in prolific publication output and active supervision of doctoral researchers. Publications & Trends From 2020 to 2025 Professor Goulart has co-authored more than thirty papers. A dominant theme is the development of fast, reliable algorithms for conic optimization and robust control , often leveraging machine-learning techniques to enhance scalability and real-time performance. Recent works emphasize safety certificates, GPU-accelerated solvers, and neural-network controllers for uncertain systems. Awards & Honors Gates Cambridge Scholar (2003) Advising & Grants Professor Goulart actively seeks DPhil students in control engineering and optimization . He leads the Control Group within the Department of Engineering Science and has been involved in multiple industrially funded projects, although specific grant identifiers are not provided in the supplied text. Laboratory & Teams He is a member of the Control Group , Department of Engineering Science, University of Oxford, and serves as Secretary to the Governing Body of St Edmund Hall (Michaelmas Term 2024).

• Energy Systems
• Climate Change Mitigation
• Carbon Capture and Storage
• +5 more

Filip Johnsson is a Full Professor in Energy Technology at Chalmers University of Technology, where he leads research on measures to reduce the climate impact of the energy system. His work addresses both technical issues regarding electricity and heat production and how the entire energy system can be transformed by 2050 through technical-economic studies. Professor Johnsson's research spans multiple critical areas in the transition to sustainable energy systems: Energy Systems Analysis: Comprehensive modeling of energy systems to identify cost-effective pathways for decarbonization Industrial Decarbonization: Electrification of energy-intensive industries and carbon capture technologies Renewable Energy Integration: Grid stability, storage needs, and system flexibility with high shares of variable renewables Transportation Electrification: Real-world EV usage patterns and infrastructure requirements Fluidized Bed Technology: Advanced combustion and carbon capture processes Energy Policy: Critical analysis of Swedish and European climate policies and implementation strategies Johnsson's extensive publication record demonstrates a consistent focus on practical, implementable solutions for deep decarbonization across multiple sectors. His recent work shows increasing emphasis on industrial decarbonization pathways, grid integration challenges with high renewable shares, and critical evaluation of policy mechanisms. The research often employs technical-economic modeling approaches, combining engineering analysis with economic evaluation to identify cost-optimal pathways for climate mitigation. Professor Johnsson actively engages with Swedish energy policy debates, contributing to public discourse through newspaper articles and government reports. His work frequently addresses the practical implementation challenges of Sweden's ambitious climate goals, particularly regarding industrial decarbonization and grid infrastructure requirements.

Satish NambisanView profile

Professor

• Innovation management
• Digital Innovation
• Entrepreneurship
• +6 more

Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.

• Corporate Finance
• Mergers and Acquisitions
• Empirical Asset Pricing
• +7 more

Leonidas Barbopoulos is a Professor of Finance and Head of the Accounting & Finance group at the University of Edinburgh Business School. He has held visiting positions at NYU Stern, University of Bergamo, Harvard Business School, Mason School of Business, Strome College of Business, Trinity College Dublin, and University of Vienna. His research spans corporate finance, behavioral finance, market microstructure, and monetary policy interactions. Education: BSc (University of Piraeus; LSE), MSc (University of Durham), D.Phil (University of Durham), PgCert (University of Durham) His work focuses on dynamic games in corporate finance, merger economics, investor behavior, and climate-related financial innovations. Recent projects examine how macroeconomic conditions influence corporate control markets and informational asymmetries in financial systems. Barbopoulos has received prestigious awards including the Southwestern Finance Association Best Paper Award in Corporate Finance and the Yuki Arai Faculty Research Prize at NYU. He serves as Associate Editor at the International Review of Financial Analysis and has been a fellow of the UK Higher Education Academy since 2013. His collaborations extend across 12 similar academic profiles, with research fingerprints in 24 topics including mergers, wealth effects, investor behavior, and macroeconomic conditions. He currently leads a project addressing information asymmetry in merger negotiations through earnout financing.

• Power System Control
• Smart Grids
• Communication Systems
• +11 more

Lars Nordström is a Professor at the Division of Electric Power and Energy Systems within KTH Royal Institute of Technology, Stockholm, Sweden. His work bridges control systems , communication networks , and power systems , with a focus on future architectures, functionality, and quality aspects of ICT for power grid operations. He has led initiatives such as the Swedish Centre of Electric Power Engineering and served as Thematic Leader for Smartgrids in KIC InnoEnergy. In 2014, he was a Visiting Professor at Washington State University. Education : Ph.D., MSc.EE Nordström's research explores the intersection of smart grids , machine learning , and cybersecurity for power systems. Key areas include: Wide-Area Monitoring and Control (WAMC) systems Decentralized control strategies for DC microgrids Impedance modeling using neural networks Data-driven methods for islanding detection ICT reliability and protocol design for grid operations His recent publications emphasize machine learning applications in power systems, including LSTM networks for EV charging management, graph attention networks for stability monitoring, and digital twin approaches for cyber-attack mitigation. These works span disciplines such as Smart Grids, Power Electronics, and Data Science. Scientific Recognitions : Senior Member, IEEE Senior Member, CIRED Senior Member, Cigre Past Chairman, Swedish IEC TC57 Mirror Committee Nordström actively teaches and examines graduate courses like Communication and Control in Electric Power Systems and Computer Applications and Machine Learning in Electric Power Systems . His work influences industry practices through collaborations on digital substations, energy market analysis, and resilience strategies.

Beat HintermannView profile

Professor

• Public Sector Economics
• Climate Policy
• Transportation Economics
• +4 more

Prof. Dr. Beat Hintermann is a Professor of Public Finance at the University of Basel's Faculty of Business and Economics (WWZ). His research focuses on public sector economics with particular emphasis on climate policy and mobility behavior. Hintermann leads empirical research using GPS tracking data to study transportation choices and the effectiveness of pricing mechanisms to encourage sustainable mobility options. His research interests span several interconnected areas: public sector economics, climate policy design, transportation economics, and environmental economics. He investigates how pricing mechanisms can influence individual behavior to reduce environmental externalities, with special attention to sustainable mobility solutions like e-biking. His work often combines economic theory with rich empirical analysis of real-world data, particularly examining the intersection of environmental policy and individual decision-making. Hintermann's recent publications reveal a strong focus on empirical mobility studies, particularly through the MOBIS dataset that tracks mobility behavior in Switzerland. His research shows how transport pricing can effectively promote e-biking and reduce negative externalities. He has also conducted significant work on carbon pricing mechanisms, emissions trading systems, and the impacts of climate policies on economic behavior. His work during the pandemic period examining mobility changes provides valuable insights into how external shocks affect transportation choices. Hintermann's research methodology is characterized by rigorous empirical analysis, often employing field experiments and large-scale GPS tracking data to measure behavioral responses to policy interventions. His work on Pigovian transport pricing represents an important contribution to understanding how economic instruments can be designed to address environmental externalities in the transportation sector. As part of the University of Basel's Faculty of Business and Economics, Hintermann contributes to research centers focused on sustainable development and environmental economics. His work bridges academic research with practical policy applications, providing evidence-based insights for policymakers designing effective environmental and transportation policies.

Thomas DemeesterView profile

Associate Professor

• Artificial Intelligence
• Natural Language Processing
• Deep Learning
• +7 more

Thomas Demeester is an Associate Professor at the Internet Technology and Data Science Lab (IDLab), Ghent University - imec, Belgium. Appointed as Assistant Professor in 2019, he leads an AI research group focused on health applications and drug design, co-directing the Text-to-Knowledge research cluster with Prof. Chris Develder. His educational background includes: M.Sc. in Electrical Engineering from Ghent University (2005), completed with thesis work at ETH Zurich Ph.D. in Computational Electromagnetics from Ghent University (2009), funded by Research Foundation - Flanders (FWO) Demeester's research spans artificial intelligence with emphasis on deep learning and neuro-symbolic methods. Current tracks include energy-based models (Hopfield Networks, Deep Equilibrium Models), diffusion models for drug design, and clinical reasoning systems. His work bridges NLP, healthcare informatics, and generative AI with strong industry partnerships. Recent publications (2023-2025) reveal strategic expansion from NLP into health-centric AI: BioLORD biomedical encoders (2023), synthetic medical data frameworks (UAI/NeurIPS 2024), and novel diffusion model guidance (ICLR 2025). This evolution demonstrates convergence of generative modeling, clinical data analysis, and protein design. He actively mentors 24 PhD students across diverse AI domains: Current Research: Conversational agents, emotion analysis, clinical reasoning, antibody design, and diffusion model optimization Recent Graduates: Interpretable language models, biomedical semantics, task-oriented dialogue, and social media knowledge extraction Research is supported by imec funding and collaborations with Flemish biotech companies, building on his post-doctoral experience securing media-sector projects. Within IDLab, he co-leads the Text-to-Knowledge cluster driving NLP innovations for healthcare, legal, and economic applications.

• Voltage instability prediction
• Electricity markets
• Stochastic optimization
• +5 more

Professor Gregor Verbic is a faculty member at the University of Sydney in the School of Electrical and Computer Engineering , where he serves as Director of the Centre for Future Energy Networks . Previously, he held an assistant professor position at the University of Ljubljana and was a NATO-NSERC Postdoctoral Fellow at the University of Waterloo. His career spans academic research, industry leadership as Head of Interenergo's Investment Department, and extensive collaboration with IEEE. PhD in Electrical Engineering (University of Ljubljana) Senior IEEE Member Research Interests focus on transforming power systems to zero-carbon grids through: Aggregation and control of distributed energy resources (DERs) Frequency control with wind generation and electric vehicles Stochastic optimization for multi-energy systems Smart home energy management with phase change materials Notable Contributions include: 2006 IEEE prize paper for voltage instability prediction 2010-2024: 15 recent publications on DER coordination, network tariffs, and low-inertia grid stability Teaching includes courses on: ELEC3203/ELEC9203: Electricity Networks ELEC5213: Engineering Optimisation ELEC5206: Sustainable Energy Systems Labs & Initiatives Centre for Future Energy Networks The Net Zero Institute