جستجوی استاد راهنمای دانشگاهی

• Sustainable Consumption
• Sustainable Brands
• Innovation for Sustainability
• +۵ مورد دیگر

Carmen Valor Martínez is a Professor in the Marketing Department at the Business School of Comillas Pontifical University (Madrid, Spain). She holds a Ph.D. from the Universidad Complutense de Madrid, an MBA from Universidad Carlos III de Madrid, and an MSc in Business and Community from the University of Bath. Her research focuses on sustainable consumption, innovation adoption, and collaborative consumption, with over 100 publications in top journals like the Journal of Consumer Research and Renewable & Sustainable Energy Reviews. She is the Associate Editor of the International Journal of Consumer Studies. Dr. Valor has led national and international projects, including EU-funded initiatives such as BeFlex and REDREAM, addressing energy flexibility and sustainable markets. She has supervised numerous PhD students in areas like social entrepreneurship and environmental behavior. Her awards include the Best Associate Editors Award (2021) and recognition for research on well-being and sustainable consumption. Education: Ph.D., Universidad Complutense de Madrid; MBA, Universidad Carlos III de Madrid; MSc, University of Bath. Research Interests: Emotions in innovation adoption, sustainable brands, and cultural analysis of markets. Leadership: Editor of International Journal of Consumer Studies, member of EU-funded energy transition projects. Her work bridges academia and practice, with contributions to corporate social responsibility, stakeholder engagement, and policy-driven market design. Dr. Valor has also engaged in media dissemination and training programs for companies like CEPSA.

• Collective Behavior
• Army Ants
• Biological Robotics
• +۵ مورد دیگر

Simon Garnier is a Professor in the Biological Sciences department at New Jersey Institute of Technology (NJIT). His research focuses on collective behavior in biological systems, including army ants, ants' self-organizing structures, and the application of swarm intelligence principles to robotics and engineering. He has led multiple NSF-funded projects exploring topics such as self-assembling robots inspired by army ants and the regulation of mass behaviors in social systems. Grants & Projects: NSF Convergence Accelerator Track M (2024-2025): Slime Mold Inspired Self-Assembling Conveyor System for Flood Response NSF UROL:EN (2022-2027): Emergent Energetic Regulation in Dynamic Biological Networks NSF Collaborative Research (2017-2024): Living Architectures from Army Ants to Robots Research Interests: Collective decision-making, self-organization, swarm robotics, and the interface between biological systems and engineered solutions. Recent work includes developing biobots from human cells and analyzing social contagion dynamics in ant colonies. Publications: Over 57 peer-reviewed articles, including high-impact studies on ant transport mechanisms, R package development for collective motion analysis (swaRmverse), and the creation of biobots from human progenitor cells. Labs/Teams: Leads interdisciplinary teams integrating biology, robotics, and computer science to advance understanding of collective systems and their applications in disaster response and medical engineering.

Moumita Das Gyomlaiمشاهده پروفایل

دانشیار

• Salespeople Motivation & Training
• Luxury Brand Management
• Sales
• +۴ مورد دیگر

Moumita Das Gyomlai serves as Associate Professor of Marketing and Co-Director of the Emerging Leaders Program at Ohio University's College of Business, where she integrates industry expertise from her senior management role at L'Oréal with academic rigor. Her leadership extends to Executive Education initiatives including the Sogeti Program for Netherlands-based executives. Education Ph.D. in Marketing, HEC School of Management Paris (2014) Post Graduate Diploma in Communications Management (Brand Management/Marketing Research), MICA (2005) Bachelor of Science in Mathematics, Fergusson College, University of Pune (2003) Research Focus Dr. Gyomlai's work critically examines salesforce motivation dynamics , luxury brand resilience , and identity integration across organizational boundaries. Her interdisciplinary approach bridges marketing psychology with strategic management, particularly investigating how knowledge networks influence innovation during M&A integration and how salespeople navigate brand conflicts in multi-brand portfolios. Recent studies explore pandemic-driven luxury consumption shifts and AI-enhanced sales training methodologies. Scholarly Impact Her 2021-2024 publications reveal three converging trajectories: (1) luxury sustainability examining packaging disposal behaviors among Gen Z consumers, (2) sales education innovation leveraging ChatGPT for role-play enhancement, and (3) student well-being through mindset interventions. This triad demonstrates her commitment to solving industry challenges while advancing theoretical frameworks in consumer behavior and pedagogy. Mentorship & Professional Engagement Through the Center for Consumer Research and Analytics (CRA), she supervises student teams executing semester-long projects for corporate clients while advising Honors Tutorial College theses. Her industry collaborations span Procter & Gamble, Peugeot, and Philips, with conference presentations at Academy of Management and Association for Consumer Research highlighting her work on temporal boundary control in hybrid work environments and luxury packaging sustainability. Strategic Initiatives As Co-Director of the Emerging Leaders Program, she designs leadership development curricula for undergraduates while contributing to executive education through the Robert D. Walter Center for Strategic Leadership. Her industry-academia nexus remains evident through ongoing consulting engagements that inform both classroom instruction and research agendas.

• Mechanical Engineering
• Materials Science
• Renewable Energy
• +۶ مورد دیگر

Dani Harmanto is a Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on interdisciplinary areas including materials science, renewable energy technologies, engineering education, and computational fluid dynamics. He has contributed to studies on solder joint reliability, sustainable paving materials, and IoT applications in fisheries. Key research outputs include analyses of design education in the 4th Industrial Revolution, thermal cycling effects on electronic components, and solar-powered cold storage systems. His work bridges theoretical engineering principles with practical applications in sectors like agriculture, construction, and maritime economics. Harmanto collaborates extensively, publishing in journals such as Advances in Materials and Processing Technologies and International Journal of Engineering & Technology . His studies often emphasize sustainability and innovation, addressing challenges in material substitution, energy efficiency, and urban development.

• Anthropology
• Human Evolution
• Cultural Evolution
• +۳ مورد دیگر

Richard McElreath is a Full Professor and Director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He also holds an honorary professorship in Human Evolutionary Ecology at Leipzig University. His research focuses on the role of culture in human evolution and adaptation, alongside contributions to Bayesian statistical methods through his influential textbook Statistical Rethinking . McElreath earned his PhD in Anthropology from UCLA and a BS in Anthropology and Human Biology from Emory University. His academic career includes roles as Professor and Associate Professor at UC Davis, where he contributed to initiatives like the CLIMB training program. His research interests span cultural evolution, social learning dynamics, and statistical modeling in anthropology. He has led projects on topics such as ethnic boundary formation, cooperative behavior, and the application of Bayesian methods in ecology and evolution. His work bridges theoretical models with empirical data, emphasizing interdisciplinary collaboration. McElreath has secured numerous grants, including NSF funding for studies on foraging strategies and cultural dynamics. Notable awards include the UCD Chancellor’s Fellow (2007) and a Max Planck post-doctoral fellowship (2001–2002). He has mentored over a dozen PhD students and post-doctoral researchers, many of whom now hold academic roles globally. His software contributions, such as the rethinking R package, have become essential tools for Bayesian analysis. McElreath’s department at the Max Planck Institute integrates theory with data analysis, supporting collaborative projects like the EBC Consortium’s brain evolution studies. His work continues to explore the interplay between human behavior, ecology, and culture.

Stephen Mannمشاهده پروفایل

پژوهشگر

• Philosophy of Science
• Cultural Evolution
• Linguistic Diversity
• +۵ مورد دیگر

Stephen Mann is a computational modeler and philosopher of science at the Max Planck Institute for Evolutionary Anthropology's Department of Linguistic and Cultural Evolution (DLCE) since 2024. Previously, he held postdoctoral positions at the LOGOS Group (University of Barcelona, Spain) and the Surrey Morphology Group (University of Surrey, UK), while maintaining guest researcher status at DLCE. He earned his PhD in philosophy from the Australian National University (2020) after withdrawing from King's College London (2015) and holds an M.Sci in Mathematics and Philosophy from the University of Bristol (UK). Current Affiliation: Max Planck Institute for Evolutionary Anthropology (DLCE), Leipzig Previous Affiliations: University of Barcelona (LOGOS Group), University of Surrey (Surrey Morphology Group) Education: PhD (Philosophy) - Australian National University, M.Sci - University of Bristol Stephen's research focuses on integrating agent-based models with historical data to analyze linguistic diversity in the Pacific. His work bridges teleosemantics, the free energy principle, and evolutionary biology, particularly examining biological signaling systems and their philosophical implications. He also explores the role of selection in cultural evolution and the application of communication theory to representation frameworks. His recent publications span evolutionary modeling, AI ethics, and theoretical biology, with a thematic emphasis on information theory, cultural transmission, and computational methods. Stephen has guest-edited a topical collection on the free energy principle and actively promotes open science through tools like Evoke, a Python package for evolutionary signaling games. Scientific Awards: Juan de la Cierva postdoctoral fellowship Outreach Contributions: Articles in The Conversation, Life Beyond Us anthology, and AI ethics interviews

Noshaba Cheemaمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Noshaba Cheema is a Researcher at the German Research Center for Artificial Intelligence (DFKI) and a PhD Candidate at the Max-Planck Institute for Informatics, affiliated with Saarland University. She holds dual roles as a Researcher in the Agents and Simulated Reality Group and as a Work Package Manager for the EU-funded Carousel+ project. Her academic journey includes a Master's degree from Saarland University and the International Max-Planck Research School for Computer Science, and a Bachelor's degree in Media Computer Science from the University of Applied Sciences Bremen. Her research focuses on virtual character animation, motion synthesis, and AI-driven interactive systems, with applications in VR/AR, computer graphics, and human-computer interaction. She has pioneered fatigue modeling for virtual characters using reinforcement learning and explored synthetic data generation for deep learning tasks. Her work bridges computational neuroscience and machine learning, as seen in early projects modeling human visual systems. Noshaba has received significant recognition, including the Telekom Women's STEM Award 2020 (AI category), the Best Poster Award at SCA 2018, and a Max-Planck Fellowship. She actively contributes to conferences as a speaker, panelist, and diversity co-chair at venues like High Performance Graphics. Her teaching spans topics in game development, motion synthesis, and signal processing at Saarland University and Bremen. Her research portfolio includes over 20 publications across top venues like SIGGRAPH Asia, ECCV, and CVPR. She advises Master's theses in graphics, vision, and machine learning, and manages EU Horizon 2020 grants. Noshaba also engages in public outreach, advocating for women in STEM through media features and mentoring roles.

• Digitalisation and Sociotechnical Implications
• Consumer Behavior
• Artificial Intelligence in Organisations
• +۴ مورد دیگر

Alexandra Dominique Theben is an Assistant Professor at the Universitat Pompeu Fabra (UPF) in the Department of Management, Law, Society & Humanities, and serves as Director of the Master of Marketing at the UPF Barcelona School of Management. Her research focuses on sociotechnical implications of digitalization, AI adoption in organizations, and consumer behavior influenced by digital technologies. She holds a PhD in Information and Knowledge Society from the Open University of Catalonia (UOC), where her doctoral work examined online marketing's impact on children’s behavior. Professionally, she has contributed to over 15 European Union policy studies as a consultant, addressing topics like digital platform transparency, health communication, and youth civic engagement. Her academic career includes roles at the UOC and Open Evidence, alongside teaching leadership in programs such as the International MBA and Sustainability Management. Her interdisciplinary work bridges management, law, and humanities to address contemporary challenges in digital societies. Research interests span digital policy frameworks, behavioral interventions in health contexts, and the societal impacts of emerging technologies. Recent work examines the FIRE movement’s influence on consumption patterns and the role of micro-influencers in sustainable travel decisions. Her studies often employ experimental methods, combining qualitative and quantitative analyses to explore digital transformation’s human dimensions. Education: Doctorate in Information and Knowledge Society (Open University of Catalonia) Master in Social and Legal Sciences (Law, Politics, and Public Management) Professional Roles: Director, Master of Marketing (UPF Barcelona School of Management) Faculty Member, Management & Law Department Consultant to European institutions (e.g., European Parliament, European Commission) Key Research Themes: AI ethics and workforce adaptation Online marketing’s societal impacts Behavioral health interventions Her collaboration with institutions like the European Commission has produced influential reports on advertising transparency, travel booking practices, and tobacco product perception. These studies emphasize evidence-based policymaking to address digital era challenges.

Friedrich Leischمشاهده پروفایل

استاد

• Statistical Computing
• Cluster Analysis
• Bioprocess Modeling
• +۳ مورد دیگر

Friedrich Leisch was a Professor at the Institute of Statistics, University of Natural Resources and Life Sciences, Vienna. He held leadership positions including Head of the Department of Landscape, Spatial and Infrastructure Sciences and was a core developer for the R programming language. His career included positions at Ludwig-Maximilians-Universität München and Vienna University of Technology, where he earned his doctorate and habilitation. Education includes: PhD in Applied Mathematics, Vienna University of Technology (1999) Habilitation in Statistics, Vienna University of Technology (2005) Leisch's research focused on statistical computing methodologies with applications across diverse scientific domains. His primary interests included: Development of resampling methods for cluster analysis and validation Bioprocess modeling for pharmaceutical manufacturing Causal modeling frameworks for scientific inference Statistical computing and R package development His recent publications demonstrate a strong focus on biotechnological applications of statistical learning, developing methods for real-time process monitoring in pharmaceutical production. Articles frequently address machine learning explainability, temporal clustering, and environmental impact assessment of agricultural practices. Scientific awards include: Peter Keller Award for tourism research Supervised numerous doctoral and master's students across statistics and biotechnology domains. Led multiple research projects including: Mobile Field Phenotyping for Agronomy and Breeding Statistical evaluation of downstream processing data Market Segmentation Methodology projects Collaborated extensively with bioprocessing research groups including the Austrian Centre of Industrial Biotechnology (ACIB), focusing on statistical modeling of fermentation processes and purification systems.

• Anthropology
• Cultural Evolution
• Bayesian Statistics
• +۴ مورد دیگر

Richard McElreath is a Full Professor and Director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He holds an honorary professorship in Human Evolutionary Ecology at Leipzig University. His research focuses on how culture shapes human evolution and adaptation, alongside Bayesian statistical methods. He authored the influential textbook Statistical Rethinking . McElreath earned his Ph.D. in Anthropology (2001) from UCLA and B.S. from Emory University (1995). He held academic positions at UC Davis from 2002–2018, progressing from Assistant to Full Professor. His work integrates theory with empirical studies on cultural dynamics, including fieldwork in diverse populations like the Peruvian Amazon and Faroe Islands. Research Interests: McElreath investigates cultural evolution, social learning strategies, and human behavioral ecology. He develops computational models to bridge theory and data, emphasizing interdisciplinary methods. His Bayesian statistics work provides tools for analyzing complex cultural processes. Grants & Awards: NSF grants (2015, 2014, 2012, 2010) UC Davis Chancellor’s Fellow ($25k, 2007) Max Planck postdoctoral fellowship (2001–2002) MacArthur Foundation grants (2000, 1998) Advising & Mentorship: Supervised PhD students including Tim Waring (now at University of Maine) and Bret Beheim (University of New Mexico). Supported postdocs like Kari Schroeder (Boston University) and John Bunce (Indiana University). Labs & Collaborations: Leads the Max Planck Department, collaborating on projects like cultural transmission in primates and urban settlement evolution in Ulaanbaatar. Develops software like R packages rethinking and glmer2stan .

• Computer Science
• Bioinformatics
• Remote Sensing
• +۷ مورد دیگر

Ying Liang is a multidisciplinary researcher with significant contributions across computer science, bioinformatics, and remote sensing. Their work spans AI-driven medical diagnostics, environmental monitoring, and computational biology, with recent focus on precision nutrition, skin lesion recognition, and urban heat island analysis. Research Interests : Machine learning for biomedical applications (e.g., skin cancer detection, pancreatic segmentation), remote sensing (landslide mapping, urban structure dynamics), and computational biology (RNA-protein interactions, microRNA regulation). Notable Article Trends : 2025 publications highlight self-supervised remote sensing classification, fractal reservoir modeling, and biomedical AI. 2024 works emphasize cross-domain gait recognition, panoptic segmentation, and health informatics via Wi-Fi sensing. Grants & Collaborations : Co-authored studies with institutions like Open University and Chinese universities, focusing on thermal cycling reliability, multi-omics data fusion, and wireless health monitoring. Labs & Teams : Collaborated on interdisciplinary projects involving neural network architectures, hybrid AI models for environmental and biomedical applications, and biomedical signal processing systems.

• Emerging Technologies
• Digital Identity
• Gamification
• +۵ مورد دیگر

Mag. Dr. Alexander Pfeiffer, MBA MA is Head of the Emerging Technologies Experiences Lab and a Research Associate at the University for Continuing Education Krems' Center for Applied Game Studies. His research focuses on emerging technologies like blockchain, AI, and gamification in education, cybersecurity, and digital identity management. He leads projects such as ZKPG+ (Zero Knowledge Proof Gamification) and ESPORTS, funded by FFG and EU. Notable work includes analyzing MMORPGs' role in pandemic coping, AI's impact on education, and NFT applications in music rights. Research Projects: ZKPG+ (2025–2026): Promoting sustainable corporate goals via gamification ESPORTS (2025): EU-funded esports research ESP: FFG-funded cybersecurity initiatives Key Contributions: Published in journals like DAC and Proceedings of Cyber Warfare Authored textbooks on game-based learning and digital economies Presented at international conferences on AI in education and cultural studies Labs & Teams: Directs the Emerging Technologies Lab, collaborating with industry partners on edtech innovations and cybersecurity solutions.

Muhammad Iftikhar Umraniمشاهده پروفایل

مدرس

• AI
• Cybersecurity
• Deep Learning
• +۳ مورد دیگر

Dr. Muhammad Iftikhar Umrani is a Lecturer at SZABIST University and a PhD candidate at Walton Institute, SETU Waterford, Ireland. His research focuses on AI-driven cybersecurity solutions, particularly in UAV security and cyber-physical systems. He holds a Master of Science in Telecommunication from National University of Sciences and Technology (NUST) Pakistan (2017) and a Bachelor of Engineering in Telecommunication from Mehran University of Engineering & Technology (2012). His work aligns with UN Sustainable Development Goals, emphasizing education and innovation. Research interests include deep learning algorithms for UAV security, intrusion detection systems, and decision-making frameworks in cyber-physical systems. Recent publications explore trust mechanisms in AI-driven CPS and cybersecurity vulnerabilities in UAVs. No scientific awards are explicitly listed, but academic achievements include his advanced degrees. He is involved in collaborative research projects and contributes to cybersecurity testbed development. His PhD research at Walton Institute further enhances his expertise in autonomous systems and cybersecurity.

• Business Intelligence
• Analytics
• Physiological Computing
• +۳ مورد دیگر

Mario Nadj is an Assistant Professor of Business & Information Systems Engineering at the Department of Business and Economics, Technical University of Dortmund since September 2022. His research focuses on Business Intelligence & Analytics, Physiological Computing, and Interactive & Explainable Machine Learning. Education: Bachelor of Science in Business Information Systems (2011), Otto-Friedrich-University Bamberg Study abroad at Institute of Technology Tallaght Dublin (2010-2011) Master of Science in Finance & Information Management (2014), Goethe University Frankfurt Research Interests: Dr. Nadj explores how physiological data and interactive systems can enhance workplace performance and decision-making. His work bridges human factors with computational methods, emphasizing explainable AI and human-in-the-loop systems. Recent studies investigate flow states in knowledge work, IT-mediated interruptions, and adaptive labeling systems. Awards: No awards explicitly mentioned. Advising & Grants: No formal advisees listed. Previously led projects such as “Smart Process Apps on Big Data” (SAP SE, 2014-2017) and headed research areas like Intelligent Enterprise Systems at Karlsruhe Institute of Technology. Labs/Teams: Involved in neuroinformation systems research, evidenced by tools like the ‘brownieR’ package for EEG data analysis.

Jaime H Buitragoمشاهده پروفایل

مدرس

• Electrical Engineering
• Mechanical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Jaime H Buitrago is a Lecturer at the University of Miami's College of Engineering , specializing in interdisciplinary research spanning electrical engineering , mechanical design , and robotics . His work emphasizes the application of artificial neural networks and clustering algorithms to energy systems, resilient supply chain design , and modular manufacturing solutions . Key Research Areas : Electrical load forecasting, robotics-operated fixtures, supply chain resilience, and finite element methods. Methodologies : Neural networks, hybrid modeling, influence matrices, and adaptable fixture design. Applications : Demand-side management, smart grids, industrial automation, and consumer product innovation. His publications reflect a blend of theoretical and applied engineering, with a focus on solving real-world challenges in energy systems and manufacturing. The affiliations with the University of Miami's College of Engineering highlight his role in advancing engineering education and research through practical applications.