جست‌وجوی استاد و پژوهشگر

• Microeconomics
• Environmental Economics
• Sustainable Development
• +۳ مورد دیگر

Miguel Atanásio Lopes Carvalho is an Invited Assistant Professor at the Department of Economics , affiliated with Iscte - Lisbon University Institute (ISCTE-IUL). He holds a PhD in Economics from Tilburg University (2011), a Master's Degree in Economy from the Higher Institute of Economics and Management - UL, and a Bachelor's Degree in Technological Physics Engineering from Instituto Superior Técnico - UL. Key research areas: Microeconomics, Environmental Economics, Sustainable Development, Transport Economics, and Behavioral Economics. Teaching includes courses like Microeconomics , Economics of Environment and Natural Resources , and Decision, Strategic Interaction and Contracts at both undergraduate and graduate levels. His recent publications focus on: Quantifying carbon footprints of dietary choices in Portugal (2024). Nonlinear pricing models with behavioral reference effects (2020). Urban sustainability and bike lane economics (2022). Behavioral preference modeling in environmental economics (2017). He has supervised 13 Master's and Bachelor's theses, including topics on: Sustainability standards in logistics. Impact of Erasmus experiences on active mobility. Energy transition and oil companies. Urban sustainability perceptions. Sustainable aviation fuels.

Prakash Mirchandaniمشاهده پروفایل

استاد

• Operations Research
• Network Design
• Supply Chain Management
• +۶ مورد دیگر

Prakash Mirchandani is a Professor of Business Administration at the Joseph M. Katz Graduate School of Business , University of Pittsburgh . He serves as Director of the Center for Supply Chain Management and Academic Director of the Executive MBA Program . His academic background includes a PhD in Management from MIT, an MBA from IIM Ahmedabad, and a B.Tech from IIT Delhi. Education : PhD (MIT), Postgraduate Diploma in Management (IIM Ahmedabad), Bachelor of Technology (IIT Delhi) Roles : Director, Center for Supply Chain Management; Academic Director, EMBA Program; Professor of Business Administration Research Interests focus on: Network design for transportation and telecommunications Polyhedral combinatorics and heuristic optimization for integer programming Supply chain effectiveness through commonality and revenue management Supply chain finance and healthcare logistics Publication Trends highlight his work in Operations Research , Supply Chain Management , and Network Design , with recent studies addressing pandemic-era supply chains, remanufacturing pricing, and O2O platform logistics. Scientific Honors : Chancellor’s Distinguished Teaching Award (2012) Outstanding Teacher of the Year (1999–2023, multiple years) Distinguished Professor of the Year, EMBA-Healthcare (2018–2020) INFORMS Technical Section in Telecommunications Best Presentation (2002) Zenon S. Zannetos Prize for Best PhD Thesis (1990) Institute’s Gold Medal for Scholastic Performance (1983) Professional Contributions include editorial roles (e.g., Area Editor, INFORMS Journal on Computing), vice presidency in Beta Gamma Sigma, and consulting projects for organizations like GlaxoSmithKline, the World Bank, and FedEx Supply Chain.

• Genetic Epidemiology
• Computational Biology
• Cardiovascular Disease Genetics
• +۲ مورد دیگر

Oddgeir Lingaas Holmen is a Researcher at the HUNT Research Centre under the Faculty of Medicine and Health Sciences , Norwegian University of Science and Technology (NTNU). Holding an M.D. (2008) and a Ph.D. in genetic epidemiology, he collaborates with institutions like the University of Michigan and University of Exeter. Education: M.D. (2008, NTNU), Ph.D. in Genetic Epidemiology His research spans genetic epidemiology , computational biology , and cardiovascular genetics , focusing on large-scale genomic studies, biobank infrastructure, and disease-gene associations. Key projects include: HUNT Cloud (Chief Information Security Officer, 2017–present) – a secure computational platform certified under ISO 9001 and ISO 27001 K.G. Jebsen Center for Genetic Epidemiology (co-founder, 2016) – coordinates 50+ ALL-IN studies on genetic-disease links Collaborative GWAS on atrial fibrillation (2014–2022), psoriasis (2025), diabetes (2023), and cardiovascular biomarkers (2019) Recent publications highlight his role in: Advancing genotyping methodologies (2019) Mapping genetic determinants of BMI (2018, 2022) Identifying cardiovascular risk loci (2014, 2018) Developing biobank infrastructure tools (2020, 2021) Holmen's work integrates genomic data with information security , emphasizing ethical handling of sensitive health data. He has contributed to over 15 high-impact studies since 2010, with affiliations spanning multiple institutions but no listed awards or formal advisory roles.

Simon Boxallمشاهده پروفایل

دانشیار

• Oceanography Education
• Marine Science Pedagogy
• Fieldwork Design
• +۳ مورد دیگر

Dr Simon Boxall serves as a Principal Teaching Fellow at the University of Southampton, affiliated with the Southampton Marine and Maritime Institute and the Physical Oceanography research group. His academic role focuses on advancing oceanography education through innovative teaching methodologies and curriculum development, with particular emphasis on fieldwork design and adapting pedagogical approaches to contemporary challenges such as the post-truth era and pandemic disruptions. His research spans oceanography education, marine science pedagogy, and science communication, addressing critical issues including virtual learning implementation, student engagement in field courses, and combating misinformation in scientific discourse. Boxall's work consistently bridges theoretical knowledge with practical application, emphasizing hands-on learning experiences as essential components of marine science training. Analysis of his publication record from 2015-2020 reveals a cohesive focus on educational innovation in oceanography. His articles examine pandemic-driven shifts to virtual classrooms, the irreplaceable value of wet-lab field experiences, linguistic challenges in international science collaboration, and strategies for fostering critical thinking amid misinformation. This body of work demonstrates systematic exploration of curriculum design, student motivation, and the evolving landscape of marine science education. As an active member of the Physical Oceanography research group, Boxall contributes to Southampton's marine research infrastructure while maintaining a dedicated focus on pedagogical excellence. His collaborative work within the Southampton Marine and Maritime Institute underscores institutional commitment to integrating research and teaching in ocean sciences, directly impacting the training of future marine professionals through evidence-based educational practices.

Miguel Ángel Hinojosa Ramosمشاهده پروفایل

استاد

• Economics
• Game Theory
• Microeconomics
• +۴ مورد دیگر

Miguel Ángel Hinojosa Ramos is a Professor at the Department of Economics, Quantitative Methods and Economic History within Universidad Pablo de Olavide's College of Economics and Business. His research focuses on Quantitative Methods for Business and Economics , with emphasis on cooperative game theory, fair division problems, and operational research applications. Doctoral Program: Quantitative Methods for Management Research Group: Quantitative Methods in Business and Economics Research Interests Dr. Hinojosa's work spans Economics , Game Theory , and Decision Theory , particularly in multi-dimensional resource allocation. His studies address: Bankruptcy problems under uncertainty Multi-commodity rationing with maxmin preferences Core solution concepts in vector-valued cooperative games DEA target setting through bargaining approaches Publications highlight his contributions to: Extending Talmudic allocation rules Multi-utilitarian bargaining solutions Methodological foundations for multicriteria decisions Academic Collaborations Active in international research networks, Dr. Hinojosa collaborates with scholars from institutions like University of Helsinki, University of Leicester, and University of Florence. His work intersects economic theory with practical applications in logistics and management.

Junyu Caoمشاهده پروفایل

استادیار

• Data-driven decision making
• Online learning
• Revenue management
• +۶ مورد دیگر

Junyu Cao is an Assistant Professor in the Department of Information, Risk, and Operations Management at McCombs School of Business, The University of Texas at Austin. He earned his Ph.D. in Industrial Engineering and Operations Research from UC Berkeley in 2020. His research focuses on data-driven decision making, online learning, stochastic modeling, and their applications to revenue management, recommender systems, smart-city analytics, and operations. Ph.D.: Department of Industrial Engineering and Operations Research, UC Berkeley Education: B.S. in Mathematics, Zhejiang University; B.S. in Industrial Engineering, Zhejiang University; Exchange Program, UCLA His work spans interdisciplinary domains including sequential decision-making in dynamic environments, bandit problems, and network modeling. He has developed algorithms for adaptive data acquisition, fatigue-aware recommendation systems, and urban mobility optimization. Recent publications in Management Science , Operations Research , and NeurIPS highlight his contributions to pricing optimization, reinforcement learning, and transportation systems. His research has been recognized with multiple awards including the IBM PhD Fellowship and Katta Murty Best Paper Prize. Finalist in MSOM Service Management SIG Best Paper Award, 2024 Second Place, POMS CHOM Best Paper Competition, 2024 Winner, INFORMS ISS Cluster Best Paper Award, 2022 Junyu has advised two Ph.D. students at UT Austin and served as Graduate Student Instructor at UC Berkeley. He has received editorial and judging roles in prestigious academic competitions.

Uwe Klugمشاهده پروفایل

استاد

• Software Engineering
• Database Systems
• User-Centered Software Design
• +۶ مورد دیگر

Prof. Dr. rer. nat. Uwe Klug serves as a Professor in the Department of Computer Science and Natural Sciences at South Westphalia University of Applied Sciences in Iserlohn, Germany. His academic profile demonstrates extensive supervision of student theses from 2014 through 2025, with recent activity confirming his current active status. Contact information shows office location Z.107, phone 02371-566(1252), and email klug.uwe@fh-swf.de. His research interests span multiple practical computing domains: Software Engineering and Development Methodologies Database Systems including FingoDB development User-Centered Software Design Internet Technologies and Web Applications Data Security implementations Computer-Aided Facility Management through smartFM Prototyping Tools for software development Prof. Klug leads significant applied research projects including FingoDB, a universal database modeling tool using UML 2.0 standards that generates SQL source code, and smartFM, a comprehensive facility management system for universities with property management, maintenance tracking, and reporting capabilities. His work consistently bridges academic theory with industry applications. He maintains strong industry collaboration, with numerous theses developed in partnership with companies including TRUSTPact, W3L, Adesso AG, and SSI Schäfer. Student projects under his supervision cover diverse technologies including Java, C#, .NET Core, Flutter, Angular, Spring Boot, and mobile development frameworks, addressing real-world problems in logistics, facility management, sports statistics, and business solutions. Prof. Klug frequently serves as primary supervisor (1. Referent) but also collaborates with colleagues including Prof. Dr. Steins, Prof. Dr. Rübsam, and Prof. Dr. Gawron. His educational approach includes industry excursions such as the 2014 Microsoft Regional Office visit focusing on distributed working environments, demonstrating his commitment to connecting academic learning with professional practice.

Qiang Sunمشاهده پروفایل

دانشیار

• Generative AI
• Trustworthy AI
• Next-generation Statistics
• +۸ مورد دیگر

Qiang Sun is an Associate Professor of Statistics and Computer Science at the University of Toronto (UofT), holding cross-appointments in the Department of Computer Science and the Department of Computer and Mathematical Sciences. He leads the StatsLE (Statistics, Learning, and Engineering) Lab, focusing on generative AI, trustworthy AI, and next-generation statistics. His research bridges statistical theory with applied challenges in industry, emphasizing ensemble learning, transfer learning, and reinforcement learning, with applications in tech, finance, and science. Education: PhD from the University of North Carolina at Chapel Hill (UNC-CH) BS in SCGY from the University of Science and Technology of China (USTC) Research Interests: Sun’s work spans foundational AI and statistical methods, including GenAI, robust algorithms, and interdisciplinary applications. His lab explores topics like resistant clustering, physical commonsense violation detection in gameplay, and microbiome analysis. Recent trends in his publications emphasize robustness (e.g., heavy-tailed errors), multimodal learning, and lifelong learning frameworks. Scientific Awards: Connaught Award James E. Grizzle Distinguished Alumni Noah’s Ark Distinguished Lecture Advising & Grants: While student names are not listed, his grants and collaborations reflect industrial and academic partnerships. He serves as an associate editor for the Electronic Journal of Statistics and as an area chair for conferences like AISTATS and COLT. Labs & Teams: The StatsLE Lab at UofT drives his research, integrating statistical theory with cutting-edge AI applications.

• Operations Research
• Inventory Management
• Stochastic Optimization
• +۳ مورد دیگر

Xin Chen is an Adjunct Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign. His research focuses on stochastic systems, inventory management, pricing strategies, and reinforcement learning applications in operations research. He collaborates internationally on projects involving stochastic optimization, supply chain dynamics, and decision-making under uncertainty. His work bridges theoretical advancements with practical applications in logistics, finance, and algorithm design. Key research areas include: stochastic inventory control, dynamic pricing models with reference price effects, convex optimization techniques in operations, and causal analysis in reinforcement learning. He has explored topics such as asymptotic policy optimality, robust optimization frameworks, and algorithmic solutions for complex systems with uncertain parameters. Recent publications emphasize multi-agent systems, network revenue management, and decision-making under stochastic constraints. His work on market selection and inventory control integration highlights innovative approaches to multi-objective optimization. Collaborations span institutions globally, with notable contributions to the theory of L-convexity and its applications in operations. Xin Chen’s research also addresses practical challenges such as cold start problems in online advertising, vaccine distribution under scarcity, and resilience strategies for power systems through spectral graph clustering.

Jonas Löwgrenمشاهده پروفایل

استاد

• Interaction Design
• Information Design
• Collaborative Media Design
• +۴ مورد دیگر

Jonas Löwgren is a Professor of Interaction and Information Design at Linköping University, Sweden. He holds a Ph.D. in Computer Science and has been a prominent academic since the 1990s, contributing significantly to interaction design theory and practice. Löwgren has led the development of influential academic programs, including the Master’s program in Interaction Design at Malmö University and the international Master’s program in Design at Linköping University. His research focuses on collaborative media design, interactive visualization, and the theoretical foundations of interaction design, emphasizing human-centered approaches and the role of technology in societal challenges. Education: Löwgren earned his M.Sc. (1987), Ph.D. (1991), and Docent (1995) in Computer Science from Linköping University. He has held academic positions at multiple institutions, including Malmö University (1999–2015) and Blekinge Technical University (2000–15 as Adjunct Professor). Research Interests: Löwgren’s work explores how technology can be designed to foster meaningful interactions, with a focus on sustainability, collaborative systems, and the ethical dimensions of design. He has pioneered studies on interactive visualization tools for education and urban planning, emphasizing inclusivity and citizen engagement in smart city development. Grants & Leadership: He has managed numerous research projects, such as the Substrate project (2009–15) and the News Media Concept Lab (2010–11). He has served as a faculty opponent for over 30 doctoral defenses and contributed to academic leadership roles, including steering committees for research centers like Internet of Things and People (2013–15). Labs & Teams: Löwgren leads the Media Design and Image Reproduction unit at Linköping University and collaborates with industry partners on projects like the Pinpoint visualization tool (2008) and the Avatopia cross-media community initiative (2001–03).

Andreas Jedeمشاهده پروفایل

استاد

• Controlling
• Digitalization in Controlling
• IT-Controlling
• +۴ مورد دیگر

Prof. Dr. Andreas Jede is a Professor in Business Administration at the Faculty of Economics and Social Sciences (WiSo) at Osnabrück University of Applied Sciences. He specializes in Controlling, focusing on digitalization, IT-controlling, and business model analysis. His roles include Study Program Director for the Master's in Controlling and Finance and speaker of the Controlling and Accounting Department. Research Interests: Digitalization in Controlling IT-controlling and SCM-controlling Business model analysis Cloud computing and blockchain applications AI implementation challenges in manufacturing and SMEs Publications Highlight: Recent work addresses AI adoption barriers, blockchain in supply chains, and cloud-based decision support systems. His research bridges theoretical frameworks with practical business solutions. Awards: Recipient of the GFFW Förderpreis 2017 for his thesis on cloud computing technologies. Advising & Grants: Active in promoting young researchers through cooperative doctoral programs and serves as a reviewer for leading conferences and journals. Labs/Teams: Engaged in the faculty's research groups on digital transformation and enterprise systems integration.

Hasan Arslanمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Management
• Manufacturing Systems
• +۲ مورد دیگر

Hasan Arslan is an Associate Professor and Assistant Chair in the Department of Information Systems and Operations Management at Suffolk University. He holds a PhD from the Massachusetts Institute of Technology and a BS from the University of Michigan. His research focuses on operations management, supply chain dynamics, manufacturing systems optimization, inventory management strategies, and product development processes. Specific interests include consumer memory effects in pricing, product lifecycle management, and competitive market dynamics. Dr. Arslan's work spans academic publications in prestigious journals, addressing topics such as dynamic pricing under consumer reference-price effects, multi-product inventory models, and global supply chain challenges in emerging markets like China. His research often integrates theoretical models with real-world applications in manufacturing and retail sectors. While no formal academic awards are listed, his contributions to operations management scholarship are evident through his extensive publication record. He currently teaches in Suffolk University's Sawyer Business School, though specific course details are not provided. No advising roles or student listings are mentioned in the provided materials. His research trends emphasize practical solutions for operational challenges in globalized industries, with a focus on optimizing decision-making processes in competitive environments. Collaborative projects and industry partnerships likely inform his work, though specific lab affiliations or team collaborations are not detailed here.

Nancy Davila Cardenesمشاهده پروفایل

دانشیار

• Bayesian statistics
• Econometrics
• Tourism economics
• +۳ مورد دیگر

Nancy Davila Cardenes serves as an Associate Professor in the Department of Quantitative Methods in Economics and Management at the School of Economics, Business and Tourism, University of Las Palmas de Gran Canaria. She is an active member of the Bayesian Statistical and Decision-making Techniques in Economics and Business research group and teaches Business Mathematics, Quantitative Methods, and supervises final degree projects for Business Administration students. Dr. Davila's research spans multiple domains where statistical methods address real-world economic problems. Her primary interests include Bayesian statistics with applications in tourism economics (particularly tourist expenditure patterns in the Canary Islands), sports analytics (especially football/soccer modeling), educational statistics (assessment methodology development), and gender studies (analysis of gender-based violence determinants). She has developed innovative methodological approaches including infinite mixture models for tourism segmentation and asymmetric Bayesian models for social phenomena analysis. Her publication record reveals a consistent research trajectory with recent work increasingly focused on tourism economics while maintaining her established expertise in sports analytics. She has made significant contributions to educational innovation through tools for automated testing in business mathematics. Dr. Davila frequently collaborates with E. Gómez-Déniz and other ULPGC colleagues across multiple projects. She has participated in numerous research projects primarily funded by the University of Las Palmas de Gran Canaria and the Spanish Ministry of Science and Innovation. These include the current 'Economic Evaluation and Meta-Analysis: Bayesian Solutions in Health Economics' project (2022-2026) and multiple educational innovation initiatives examining reading comprehension competencies among business students (2018-2021). Dr. Davila maintains an active research profile with publications extending to 2024 and continues to contribute significantly to both methodological advancement and practical applications in her fields of expertise.

Ying Huangمشاهده پروفایل

عضو هیئت علمی

• Biomarkers
• Biostatistics
• Causal Inference
• +۴ مورد دیگر

Dr. Ying Huang is an Affiliate Professor in the Biostatistics Program at the University of Washington and a member of the Fred Hutchinson Cancer Research Center's Public Health Sciences and Vaccine and Infectious Disease Divisions. Her research focuses on statistical methods for biomarker evaluation, causal inference, and survival analysis with applications in cancer and infectious disease studies. She holds leadership roles in HIV/AIDS clinical trials networks and the Seattle Dietary Biomarker Development Center. Huang earned her PhD in Biostatistics from the University of Washington and MS degrees in Molecular Biology and Statistics from Iowa State University. Her work emphasizes biomarker development for disease screening, surrogate endpoint identification, and treatment selection. Notable contributions include methods for analyzing repeated low-dose challenge experiments and improving biomarker selection efficiency in clinical trials. Huang leads the Huang Group, which develops statistical tools for precision medicine applications, including AUC maximization algorithms and R packages like aucm and rld . Current projects include statistical methodologies for efficacy trials of vaccines and monoclonal antibodies, cancer screening networks, and translational data science initiatives. She collaborates extensively with the HIV Vaccine Trials Network and the Fred Hutch/University of Washington/Seattle Children's Cancer Consortium.

Christopher Swartzمشاهده پروفایل

استاد

• Process Systems Engineering
• Operations Optimization
• Dynamic Optimization
• +۵ مورد دیگر

Christopher Swartz is a Professor in the Department of Chemical Engineering at McMaster University and Director of the McMaster Advanced Control Consortium (MACC). He specializes in process systems engineering, with a focus on operations optimization, dynamic modeling, and supply chain optimization. His work integrates advanced control strategies with real-time optimization to enhance industrial process efficiency under dynamic conditions. Education: B.Sc. (Eng.) Chemical Engineering, University of Cape Town Ph.D. Chemical Engineering, University of Wisconsin Professional Licenses: P.Eng. (Ontario), MAIChE, MCSChE Research Interests: Dynamic optimization of transient processes (e.g., electric arc furnaces, air separation units) Integration of design and control for plant operability Supply chain optimization under uncertainty Economic model predictive control and real-time optimization Large-scale dynamic optimization under uncertainty using parallel computing Teaching: Teaches CHEM ENG 3P04 (Process Control), covering transient process behavior, automatic control theory, and computer process control. MACC Leadership: Directs MACC, a research consortium advancing process automation through industry-academia collaboration. MACC focuses on cutting-edge control technologies, data analytics, and sustainable design.