Dr. Konrad Kulikowski serves as Assistant Professor and Vice-Dean for Education at the Faculty of Organization and Management, Łódź University of Technology. He is affiliated with the Institute of Management where his research focuses on human resource analytics, compensation systems, and occupational psychology. His work examines pay transparency, work engagement, burnout mechanisms, and evidence-based management practices in organizational contexts. Research interests span: Psychometric analysis of intellectual capital HR analytics implementation challenges Pay fairness perception modeling Higher education evaluation systems Work engagement predictors Recent publications (2023-2024) demonstrate strong emphasis on compensation psychology, research evaluation methodologies, and occupational health in specialized populations. Key thematic clusters include academic assessment systems, pay transparency frameworks, and neurodiverse workforce management. Outside academia, Dr. Kulikowski promotes evidence-based HR practices through industry collaborations and contributes analytical content to professional platforms including Wynagrodzenia.pl and RynekPracy.pl.
Fiery Cushman is Professor of Psychology at Harvard University, directing the Moral Psychology Research Laboratory. His work examines the cognitive architecture of moral judgment through computational and experimental approaches. Education includes: PhD from Harvard University Postdoctoral fellowship at Harvard Research investigates: Learning mechanisms in moral development Punishment as social communication Counterfactual reasoning in decision-making Theory of mind in social evaluation Publications present computational models unifying moral learning, judgment and behavior across 50+ articles. Awards and honors: Stanton Prize (Society for Philosophy and Psychology) Daniel M. Wegner Theoretical Innovation Prize (SPSP) Henry Merrit Wriston Fellowship Laboratory employs diverse methodologies including behavioral experiments, fMRI, developmental studies and economic games. Current projects examine contractualist principles in moral judgment and the cognitive foundations of blame.
Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.
Sanjay Modgil is a Professor of Artificial Intelligence at King's College London's School of Informatics, specializing in argumentation theory, non-monotonic logic, and AI applications in medicine. He contributes to ethical AI research aligned with UN Sustainable Development Goals. Research Interests Argumentation Theory Non-monotonic Logic Normative Reasoning Agent Reasoning AI in Healthcare Human-AI Collaboration His recent publications focus on depth-bounded reasoning, ethical debates, and large language models. He leads EPSRC-funded projects like CONSULT and RESPECT, emphasizing responsible AI technologies and multimorbidity management systems.
Mallesh M Pai is the Lay Family Associate Professor in the Department of Economics at Rice University and a CEPR Research Fellow. His research bridges mechanism design, auction theory, and blockchain economics, with applications to decentralized finance (DeFi) and privacy economics. Prior to Rice, he was a Janice and Julian Bers Assistant Professor at the University of Pennsylvania. PhD in Managerial Economics and Strategy, Kellogg School of Management, Northwestern University Bachelor's in Computer Science and Engineering, Indian Institute of Technology, Delhi His work focuses on designing robust mechanisms in environments with information asymmetry, privacy constraints, and decentralized systems. Recent publications address dynamic transaction fees, blockchain centralization, and algorithmic collusion. He serves on program committees for major conferences in computer science and economics. Indirect Persuasion (Journal of Political Economy) Dynamic Transaction Fee Mechanism Design (with Max Resnick) Collusive Outcomes via Pricing Algorithms (Marketing Science) Mallesh has received significant recognition for his work, including the Best Paper award at the American Economic Journal: Microeconomics (2021) and Best Pricing Paper from the American Marketing Association RAPSIG (2023). His research is supported by NSF grants on fair data analysis and digital privacy foundations. He teaches graduate and undergraduate courses in microeconomic theory and market design at Rice, emphasizing practical applications of theoretical models. His Erdős number is 3, reflecting interdisciplinary collaborations.
Dr. Jared G. Carlberg is a Professor in the Department of Agribusiness and Agricultural Economics at the University of Manitoba , with an adjunct appointment in the Department of Economics. He focuses on applied agricultural economics research and teaching in food systems analysis. PhD in Agricultural Economics, Oklahoma State University MSc in Agricultural Economics, University of Saskatchewan BA (Honors) in Economics, University of Saskatchewan B Commerce in Finance, University of Saskatchewan His research spans agricultural marketing (cattle/beef sectors, grain/pulses/oilseeds), nutrition economics (healthcare costs of food-related chronic diseases), and sustainable agrifood systems (conservation easements, pea coproducts, durum wheat supply response). Key projects examine beef quality grade pricing, grain supply dynamics, and health-economic policy linkages. Dr. Carlberg’s 15 most recent publications demonstrate interdisciplinary expertise bridging agricultural markets, food policy, and health economics. Recurring themes include value chain optimization, sustainable practices, policy frameworks, and quantitative analysis of food-health linkages. Professor of the Year Award, Faculty of Agricultural and Food Sciences Student Organization Outstanding Teacher in Agricultural and Food Sciences (twice awarded) He has advised 13 graduate students since 2001, covering topics from flax/corn/oat supply responses to growth-enhancing technologies in cattle feeding. His teaching portfolio includes econometrics (ABIZ 3080) and agricultural marketing research (ABIZ 7240).
Sharon Alvarez is a Professor at the University of Pittsburgh's Katz Graduate School of Business, holding the Thomas W. Olofson Chair in Entrepreneurial Studies. She is an academic leader in entrepreneurship and strategic management, with a focus on the agency of entrepreneurs in creating opportunities under Knightian uncertainty. PhD in Business Administration (Entrepreneurship and Strategic Management), University of Colorado MBA in International Management, University of Denver BSBA, University of Colorado Her research redefines opportunity theory by emphasizing endogenous creation through managerial choice, challenging the bounded rationality paradigm in management. Key themes include the philosophical foundations of entrepreneurship, strategic alliances, and organizational behavior under uncertainty. Her publications span top journals such as Academy of Management Review , Strategic Management Journal , and Journal of Business Venturing , with notable awards including the Academy of Management Review Best Paper (2024) and Strategic Entrepreneurship Journal Best Paper (2019). Recent articles focus on opportunity typology, institutional co-creation, and the interaction of managerial and technological capabilities. 2024: Academy of Management Review Best Article Award 2019: Academy of Management Foundational Paper Award 2014: Strategic Management Society Best Paper Award 2010: Journal of Management Best Paper Award Alvarez has received significant grants, including Kauffman Society seed grants and Max Planck Scholarships. She served as Associate Editor for the Academy of Management Review and Strategic Entrepreneurship Journal , and was elected to the Academy of Management Board of Governors in 2020, later serving as its President in 2023. Her affiliations include the International Business Academic Area and the Organizations and Entrepreneurship Center at Katz. Her work has been cited over 1,500 times, with her 2007 paper on entrepreneurial rents being among the most cited in Journal of Management .
Dominik Huber is a Ph.D. candidate and researcher at the Technical University of Munich , affiliated with the Chair of Computer Architecture & Parallel Systems . His work focuses on Dynamic Resource Management in High-Performance Computing (HPC) , with expertise in Parallel & Distributed Programming Models and Hardware-aware programming . He has actively contributed to teaching courses like Parallel Programming Systems and Advanced Computer Architecture . His research emphasizes adaptive resource allocation in hybrid HPC clusters, leveraging technologies such as MPI Sessions , PMIx , and frameworks like LAIK and XBraid . Recent projects include the DynRes software suite for dynamic resource management and collaborations on quantum-HPC integration. Huber has advised students on topics ranging from Dynamic Resource Management in Charm++ to CI Systems for HPC Software , and his publications address challenges in malleability, scheduling, and power-constrained environments. Current affiliations include participation in the SEANERGYS (EuroHPC) and PlasmaPEPS projects.
Prof. Dr. Martin Weber is a Senior Professor at the Faculty of Business Administration (University of Mannheim) since 2017, focusing on Finance and Banking . He previously held professorships at the University of Cologne and University of Kiel. His research integrates Behavioral Finance , Decision Theory , and Experimental Economics to analyze deviations from classical financial models. Education : Not explicitly mentioned Research Interests : Weber’s work examines how psychological biases affect financial decisions. Key themes include mental accounting , trust in delegated investing , and dynamic inconsistency in risk preferences . He bridges empirical studies with behavioral modeling to understand market anomalies. Article Trends : His recent publications span Behavioral Finance (2025: Expectation Formation, Dividend Behavior) and interdisciplinary topics like Biomedical Engineering (2025: Artificial Knee Joint). The 2024 works include Health Economics and Retirement Timing , reflecting a broader interest in behavioral drivers across domains. Scientific Awards : Honorary Doctorate (Dr. hc) Teaching & Team : He oversees courses and theses at the Chair of Finance. The team includes researchers conducting experimental studies and policy-focused analyses, with collaboration in EU Cohesion Policy and Health in All Policies frameworks.
Paul Bartha is a Professor in the Department of Philosophy at the University of British Columbia (UBC), within the Faculty of Arts. He holds a Ph.D. from the University of Pittsburgh. His research focuses on logic, decision theory, and the philosophy of science, with particular emphasis on probability, confirmation, analogical reasoning, and precautionary principles. His work includes influential contributions to the analysis of Pascal’s Wager, analogical arguments in mathematics and science, and ethical reasoning under uncertainty. He teaches courses such as Symbolic Logic, Philosophy of Science, and Decision Theory. His publications span applied ethics, formal epistemology, and the methodology of scientific reasoning. Bartha’s book By Parallel Reasoning: The Construction and Evaluation of Analogical Arguments (Oxford University Press, 2010) is a seminal work on analogical reasoning in philosophy and science. Research Interests: Bartha’s work integrates formal methods with philosophical inquiry, addressing topics such as the justification of scientific models, the role of symmetry in probability, and the ethical dimensions of environmental policymaking. His recent projects explore the precautionary principle through lexicographic utility frameworks and the application of decision theory to climate change dilemmas. Teaching and Academic Contributions: Bartha has taught courses on logic, decision theory, and the philosophy of science at UBC. His teaching materials, such as those on interpretations of probability, reflect his commitment to bridging formal and applied philosophy. He has presented widely, including at institutions like Monash University and the California Institute of Technology. Publications and Impact: His scholarship is characterized by rigorous analysis of foundational issues in logic and ethics. Key contributions include critiques of infinite utility in Pascal’s Wager, explorations of analogical reasoning in scientific contexts, and frameworks for evaluating precautionary measures in environmental policy.
Steven O. Kimbrough is a Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research spans artificial intelligence, computational rationality, and strategic optimization with applications to political science, economics, and service innovation. He teaches courses like Agents, Games, and Evolution and Thinking With Models , focusing on experimental approaches to bounded rationality and uncertainty in decision-making. Primary Email: kimbrough@wharton.upenn.edu Office: 3730 Walnut Street, 565 Jon M. Huntsman Hall, Philadelphia, PA 19104 His research interests include: Artificial intelligence and metaheuristics for constrained optimization Evolutionary computation in electoral redistricting Agent-based modeling of market dynamics Logic modeling for normative reasoning Text mining applications in event analysis Publications demonstrate expertise in computational economics, political modeling, and service analytics. Recent work focuses on: Empirical validation of electoral compactness Strategic learning in oligopolies Multi-objective matching algorithms Feasible-infeasible solution spaces Service network optimization Teaching emphasizes: Game-theoretic approaches to strategic behavior Modeling life-cycle for energy sustainability Computational experiments in social science
Ida-Johanne Jensen is Associate Professor at the Department of Biotechnology and Food Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). Her work integrates food science, marine biotechnology and sustainability to valorise marine resources, improve food quality and develop novel functional products. Education & Doctoral Training Dr Jensen obtained her PhD from UiT The Arctic University of Norway (UiT Norges arktiske universitet) in 2014 with the dissertation "Health benefits of seafood consumption – with special focus on household preparations and bioactivity in animal models" , laying the foundation for her expertise in seafood bioactivity and nutrition. Research Interests Her research agenda centres on: Protein chemistry and functionality of marine raw materials and side-streams (brewer’s spent grain, sea cucumber, fish proteins). Development of functional foods and nutraceuticals with antihypertensive, antioxidative and cardioprotective properties. Sensory and technological quality optimisation of foods for extreme environments (military rations, Arctic field meals). Smart packaging and intelligent freshness indicators using natural colorants (anthocyanin-based hydrogel beads). Life-cycle assessment and environmental sustainability of aquaculture and fisheries. Publication Trends Jensen has an extensive publication record (>60 papers since 2009). Recent work (2023–2025) demonstrates a clear pivot towards valorisation of underutilised marine resources (sea cucumbers, brewer’s spent grain) and application-oriented food engineering (freeze-drying, microencapsulation, jerky processing). Reviews on military rations and marine antihypertensive peptides highlight her translational focus on human health and performance. Scientific Awards & Recognition No specific awards are listed in the provided material; however, sustained high-output publication in top-tier journals ( Food Chemistry , npj Science of Food , Marine Drugs ) attests to strong peer recognition. Student Supervision & Grants She has supervised numerous master’s students at NTNU on topics ranging from Arctic field-ration development to protein extraction from brewer’s spent grain, indicating robust external funding and industry collaboration. Laboratories & Collaborations Research is conducted within NTNU’s Department of Biotechnology and Food Science laboratories, with active collaborations across Europe and the Indian Ocean region for marine resource assessments.
Vera Angelova is a Professor of Economics at the Baden-Wuerttemberg Cooperative State University Villingen-Schwenningen , Faculty of Economics. She has held academic positions including Acting Professor at Freie Universität Berlin (2024) and long-term Research Associate roles at Technical University of Berlin (2012-2024) and Max Planck Institute for Economics (2006-2012). Doctorate in Economics (Dr. rer. pol.) from Friedrich Schiller University Jena (2010) Studied at Humboldt University of Berlin (2000-2005) and University of Western Ontario (2004-2005) Her research focuses on experimental and behavioral economics, game theory, and organizational economics. Recent publications explore topics like decision fatigue in competitive environments, incentive structures in expert markets, and cooperative strategies in game-theoretic frameworks. Scientific recognition includes the prestigious Otto Hahn Medal (2011) and the award for best course at Technical University of Berlin (2017). She has contributed to collaborative research centers on Rationality & Competition and Economic Risk. Angelova has been actively involved in academic governance, serving as Deputy Chair of Technical University of Berlin's Ethics Committee (2019-2024) and on the board of the ProFiL leadership development network (2020-2024). Her teaching spans microeconomics, economic policy, and statistics-related courses.
Peiyuan Chen is an Associate Professor at the Department of Electric Power Engineering, Chalmers University of Technology. He holds a B.Eng. from Zhejiang University (2004), an M.Sc. from Chalmers (2006), and a Ph.D. from Aalborg University (2010). His research focuses on power system operation and planning with wind power integration, emphasizing time series modeling, statistical analysis, and optimization. He contributes to projects on grid-forming converters, inertia estimation, frequency control, and renewable energy system stability. Research Interests: • Power Systems and Renewable Integration • Grid-Forming Converters and Stability Analysis • Time Series Modeling and Statistical Methods • Machine Learning for Energy Applications • Frequency Control and Synthetic Inertia Recent Publication Trends include studies on deep learning for heating load classification, wind turbine type optimization, fault ride-through capabilities, and inertia estimation in converter-dominated grids. His work bridges theoretical power system analysis with practical implementations in Nordic and European energy networks. Projects (2017-2024) include grants from the Swedish Energy Agency, Swedish Research Council (VR), and collaborations with institutions in Sweden, China, and Italy. Key areas: grid strength metrics, multiport converter applications, and citizen energy communities.
Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.
