جست‌وجوی استاد و پژوهشگر

Heinrich Kuhnمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Research
• Production Planning
• +۴ مورد دیگر

Professor Heinrich Kuhn serves as Professor of Business Administration, Supply Chain Management & Operations at the Ingolstadt School of Management, Catholic University of Eichstätt-Ingolstadt. His extensive research focuses on planning and control of production systems, flexible production planning, JIT and flow production systems analysis, maintenance, and queueing theory. With a prolific publication record spanning decades, he has established himself as a leading scholar in operations research and supply chain management. His research interests encompass Supply Chain Management, Operations Research, Production Planning, Retail Logistics, Queueing Theory, and Inventory Management. Professor Kuhn has developed innovative approaches for optimizing retail fulfillment processes, managing assortment planning, improving inventory accuracy, and addressing complex production planning challenges. His work bridges theoretical operations research with practical applications in retail and manufacturing industries, with particular emphasis on omnichannel retailing, grocery operations, and sustainable logistics solutions. His research demonstrates consistent evolution from foundational production planning systems to addressing contemporary challenges in digitalized retail environments. Professor Kuhn's recent publications (2021-2024) reveal a strong focus on retail logistics challenges, particularly in grocery retailing during the pandemic, drone delivery systems, vehicle routing optimization, and inventory management. His research shows a clear progression toward addressing digital transformation in retail, sustainable practices, and the integration of physical and online retail channels. The work demonstrates sophisticated methodological approaches including advanced optimization algorithms, simulation modeling, and empirical analysis of retail operations. Throughout his career, Professor Kuhn has maintained extensive collaborations with researchers including A. Holzapfel, A. Hübner, M. Sternbeck, and others. His research provides valuable decision support tools for retail operations, supply chain design, and production planning, with practical applications across multiple industries. His work continues to influence both academic discourse and industry practices in supply chain management and operations research.

• Innovation Management
• Technology Management
• Production Management
• +۵ مورد دیگر

Prof. Dr. Christian Mieke is a Professor of Business Administration specializing in Innovation Management at the Department of Economics of the Brandenburg University of Technology (BTU) in Brandenburg an der Havel, Germany. He has held this position since 2010, following his habilitation at the Brandenburg University of Technology Cottbus in 2009. His office is located in Building A (Business and Economics Center), Room A.2.33 at Magdeburger Straße 50, and he can be contacted at christian.mieke@th-brandenburg.de. Prior to his current position, he served as a Professor at Provadis School of International Management & Technology Frankfurt am Main (2009-2010) and held parallel positions as a Privatdozent at BTU Cottbus (2009-2014) and Guest Professor at Alpen-Adria-University Klagenfurt (2013-2014). Prof. Mieke's educational background includes: Habilitation in Innovation Management at BTU Cottbus (2009) Doctorate in Early Technology Detection at BTU Cottbus (2005) Studies in Industrial Engineering at Technical University of Ilmenau and Technical University of Crete (1996-2001) His research focuses on Innovation Management, Technology Management, Production Management, and Logistics, with particular emphasis on strategic planning of innovation processes, technology roadmapping, and integration of innovation management within production systems. He has developed methodologies for scenario-based process portfolios and technology roadmapping, with recent work increasingly addressing the strategic aspects of factory planning and production networks in the context of Industry 4.0. His publication record demonstrates consistent scholarly output with a notable trend toward developing practical methodological handbooks that translate complex theoretical concepts into actionable business practices. His recent work shows increasing attention to strategic factory planning, management of production networks, and integration of innovation processes within organizational structures, particularly relevant to the digital transformation of production systems. Prof. Mieke teaches courses in Supply Chain Management, Technology and Innovation Management, Production and Materials Management, Value Creation Management, and Technology Management. His teaching responsibilities align closely with his research interests, emphasizing the practical application of theoretical concepts in business administration, particularly in innovation, technology, and production management.

• Organic Computing
• Evolutionary Algorithms
• Learning Classifier Systems
• +۶ مورد دیگر

Professor Jörg Hähner holds the Chair of Organic Computing at the University of Augsburg's Faculty of Applied Computer Science within the Institute of Computer Science. He leads a research team focused on evolutionary computation, self-organizing systems, and intelligent computing approaches. His educational background includes computer science studies at TU Darmstadt. His academic career progression shows steady advancement in the field of organic and self-organizing computing systems. Prof. Hähner's research spans multiple interconnected domains in computational intelligence. His primary focus is on Organic Computing, which involves developing systems that can adapt and self-organize in complex environments. Within this framework, he has made significant contributions to Evolutionary Algorithms, particularly Cartesian Genetic Programming and Learning Classifier Systems. His work explores how these techniques can be applied to real-world problems such as predictive maintenance, energy systems optimization, and industrial automation. The research demonstrates a strong emphasis on both theoretical foundations and practical applications of self-adaptive systems. An analysis of his recent publications reveals a strong concentration on evolutionary computation techniques, particularly Cartesian Genetic Programming variants and Learning Classifier Systems. His research group has been actively developing frameworks like CRust_GP and GRAHF to advance modular construction of evolutionary algorithms. There's a clear trend toward applying these techniques to industrial problems including predictive maintenance, resource allocation in networks, and energy management systems. The publications show consistent exploration of fundamental questions about algorithm behavior while maintaining strong connections to practical applications. Prof. Hähner leads an active research group with numerous PhD students and collaborators, including Karen Poloczek, Henning Cui, Victor Gerling, Dr. Michael Heider, Marco Hüller, Neele Kemper, Helena Stegherr, Jonathan Wurth, and Roman Sraj. His team regularly publishes in top-tier conferences and journals in evolutionary computation, intelligent systems, and industrial applications. The Organic Computing research group maintains a strong presence in both theoretical and applied research, with projects spanning from foundational algorithm development to industrial applications in manufacturing, energy systems, and network optimization. The group's work demonstrates a cohesive research vision centered on creating adaptive, self-organizing computational systems that can operate effectively in complex real-world environments.

• Planetary atmospheres
• Exoplanet observations
• Martian atmospheric dynamics
• +۳ مورد دیگر

Siteng Fan is an Associate Professor in the Department of Earth and Space Sciences at Southern University of Science and Technology. His research focuses on planetary atmospheres, exoplanet observations, and Martian atmospheric dynamics, combining observational data from missions like TGO and EMM with climate models such as Mars PCM. Education: B.S. in Space Science and Technology from Peking University (2015), Ph.D. in Planetary Science from Caltech (2020). Research Interests: Dynamics of planetary atmospheres (Mars, Titan, Pluto), photochemistry, microphysical processes, and light curve analysis for exoplanet surface inversion. Scientific Awards: Xie Yibing Young Scientist Award (2023), Marie Skłodowska-Curie Postdoctoral Fellowship (2022), NSFC Excellent Young Scientists (Overseas) (2022). Publication Trends: Recent work spans Mars climate modeling, Pluto/Titan atmospheric haze, exoplanet proxy studies, and radiative transfer algorithms.

Rita Shaneمشاهده پروفایل

استاد

• Clinical Pharmacy
• Medication Therapy Management
• Hospital Medication Systems
• +۷ مورد دیگر

Rita Shane is an Associate Dean at Cedars-Sinai Medical Center in Los Angeles and Professor in the Department of Clinical Pharmacy at the University of California San Francisco (UCSF). She serves as Vice President and Chief Pharmacy Officer at Cedars-Sinai Medical Center, where she provides leadership in pharmacy practice, education, and research. Her work bridges academic pharmacy with clinical practice in a major medical center setting, focusing on improving medication systems and patient outcomes. Dr. Shane's research centers on clinical pharmacy, medication therapy management, and hospital medication systems. Her work addresses critical issues in medication safety, including medication reconciliation, medication errors, and professional roles in pharmacy practice. She has made significant contributions to understanding pharmacy operations, pharmacist-led interventions, and the impact of pharmacy services on patient outcomes in hospital settings. Her research often involves collaborative studies examining how pharmacy services can improve medication safety and reduce healthcare utilization for high-risk patient populations. Analysis of Dr. Shane's recent publications reveals a strong focus on medication safety systems, transitions of care, and optimizing pharmacy practice models in health systems. Her work spans clinical pharmacy, health services research, and medication management, with particular attention to high-risk patient populations and complex therapeutic regimens. She frequently collaborates with interdisciplinary teams to evaluate pharmacist interventions and their impact on healthcare quality and efficiency. Her research demonstrates how strategic pharmacy practice models can enhance patient safety while managing healthcare costs. As Associate Dean, Dr. Shane works with area directors of advanced pharmacy practice programs in providing administrative support, mentoring, and instruction to students and faculty members. She has been instrumental in developing pharmacy technician residency programs and advancing the role of pharmacists in healthcare systems. Her leadership extends to strategic planning for pharmacy departments in hospitals and health systems, as evidenced by her significant contributions to the ASHP Foundation Pharmacy Forecast publications that guide pharmacy practice nationwide.

Nan Yangمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Inventory Management
• +۳ مورد دیگر

Nan Yang is a Professor at the University of Miami, holding the Leslie O. Barnes Professorship in the Management department of the Miami Herbert Business School. With expertise spanning operations research and supply chain management, Professor Yang has established herself as a leading researcher in dynamic pricing, inventory management, and supply risk mitigation strategies. Professor Yang's research focuses on critical areas including: Dynamic pricing and inventory management under demand and supply uncertainty Supply chain risk management with unreliable suppliers and random yields Pricing postponement strategies and their impact on supply chain coordination The effects of online reviews on consumer behavior and operational decisions Pharmaceutical supply chain dynamics and pricing mechanisms Her publication record demonstrates a consistent research trajectory in operations management, with recent work focusing on the complex interactions between pricing decisions, inventory management, and supply risk. Her 2024 paper on assemble-to-order systems with exogenous lead times represents a significant theoretical contribution to inventory theory. A notable pattern in her research is the application of sophisticated stochastic modeling techniques to address real-world supply chain challenges, particularly those involving uncertainty and correlation among risk factors. Professor Yang has published extensively in top-tier operations management journals including Operations Research, Manufacturing & Service Operations Management, and Production and Operations Management. Her collaborative research often involves complex mathematical modeling and game-theoretic approaches to analyze strategic interactions in supply chains. Professor Yang maintains an active research agenda with recent publications addressing emerging challenges in supply chain management under uncertainty. Her work provides valuable insights for businesses seeking to optimize their operational decisions in volatile market environments.

Aaditya Khanalمشاهده پروفایل

استادیار

• Reservoir Simulation
• Carbon Sequestration
• Hydrogen Storage
• +۴ مورد دیگر

Aaditya Khanal, Ph.D., is an Assistant Professor of Chemical Engineering & Petroleum Engineering at The University of Tulsa's College of Engineering & Computer Science. His research focuses on modeling fluid flow in porous media with applications to energy extraction and climate change mitigation. Dr. Khanal's research interests include: CO2 sequestration in saline aquifers Underground hydrogen storage Hydrocarbon production forecasting for unconventional reservoirs Phase behavior modeling of hydrocarbons Machine learning applications to solve complex engineering problems His research methodology combines both numerical simulations and experimental approaches to address critical challenges in energy transition and sustainable resource management. Dr. Khanal has published extensively in the areas of carbon sequestration, hydrogen storage, and machine learning applications in reservoir engineering, with a notable focus on recent advancements in 2024-2025 publications that address critical challenges in underground energy storage and carbon management. Dr. Khanal's scholarly work demonstrates a strong interdisciplinary approach, bridging petroleum engineering, chemical engineering, and data science to develop innovative solutions for energy transition challenges. His recent publications show particular emphasis on hydrogen storage technologies, CO2 mineralization processes, and the application of machine learning to reservoir characterization.

• Climate Physics
• Atmospheric Science
• Aerosol Research
• +۵ مورد دیگر

Hannes Keernik is an Associate Professor in Climate Physics at the University of Tartu's Faculty of Science and Technology, Institute of Physics, starting from September 2025. He also serves as an Analyst at Tallinn University of Technology's School of Information Technologies, Department of Software Science since November 2024, and previously worked as a Research Fellow in Climate Physics at the University of Tartu. Education: PhD in Environmental Physics, University of Tartu (2011-2015) MSc in Environmental Technology, University of Tartu (2008-2011) BSc in Environmental Technology, University of Tartu (2005-2008) Keernik's research focuses on climate physics and atmospheric science , with particular expertise in aerosol-cloud interactions, industrial pollution effects on weather systems, and climate change impacts in the Baltic region. His work combines field measurements, remote sensing data analysis, and climate modeling to investigate how anthropogenic aerosols influence cloud formation, precipitation patterns, and regional climate. He has made significant contributions to understanding how industrial emissions can trigger snowfall and alter cloud properties through complex microphysical processes. His publication record shows a strong focus on aerosol physics and climate monitoring, with recent work analyzing how anthropogenic aerosols from industrial sources glaciate liquid-water clouds, produce snow, and reduce cloud cover. He has contributed to major European collaborative projects on aerosol phenomenology and developed novel methodologies for atmospheric water vapor measurement using GNSS data. His research bridges atmospheric physics, environmental monitoring, and climate change science with practical applications for environmental policy. Professional Affiliations: Member of the International Association of Geodesy Inter-Commission Committee on 'Geodesy for Climate Research' (2024-present) Member of the GCOS Reference Upper-Air Network (GRUAN) task team on GNSS Precipitable Water (2024-present) Member of the European Geosciences Union (2013-present) Keernik actively contributes to teaching at the University of Tartu, offering courses in Environmental Physics and Advanced Atmospheric Sciences. His research has been supported by multiple European and Estonian grants, including projects with the European Commission, Estonian Research Council, and European Centre for Medium-Range Weather Forecasts. As Principal Investigator for 'Increasing the Awareness and Uptake of CAMS Products in Estonia,' he leads efforts to integrate advanced atmospheric data into Estonian environmental monitoring systems.

Mauricio Santillanaمشاهده پروفایل

استاد

• Mathematical Modeling
• Scientific Computing
• Network Medicine
• +۷ مورد دیگر

Mauricio Santillana is a Professor in the Departments of Physics and Electrical & Computer Engineering at Northeastern University. He leads The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) at the Network Science Institute. Previously, from 2017 to 2022, his research lab was based at Boston Children's Hospital. He also maintains an affiliation with the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. His research spans mathematical modeling and scientific computing, specializing in the analysis of big data sets to understand and predict complex systems. His work focuses on Biological and Health Systems (network medicine, epidemiology, public health), Complex Systems Forecasting (network-based prediction models), and Network Science of AI (deciphering network structures underlying natural and artificial learning systems). His recent publications demonstrate expertise in disease forecasting, social media analytics for public health surveillance, machine learning applications in healthcare, and interdisciplinary approaches connecting climate, health, and human behavior. His work combines mathematical rigor with practical applications to address pressing public health challenges. Top 2% scientists worldwide (Stanford University Annual Assessment, 2024) Included in Atlas of Inspiring Hispanic and Latino Scientists (Fred Hutch Cancer Center, 2024) Professor Santillana has successfully advised PhD students including Nick Link, who defended their thesis on 'Bayesian and spatiotemporal methods for infectious disease and population health data' in July 2025. His research group, MIGHTE, consists of applied mathematicians, computer scientists, physicists, public health experts, and clinicians working together on interdisciplinary health and environmental challenges. His lab has received significant funding, including a $17.5 million CDC grant to launch an infectious disease prediction center.

Stefan Haeusslerمشاهده پروفایل

دانشیار

• Production Planning
• Logistics Management
• Workload Control
• +۷ مورد دیگر

Stefan Haeussler is an Associate Professor at the Department of Information Systems, Production and Logistics Management within the University of Innsbruck , Austria. His academic career spans since 2009, starting as a University assistant while completing his PhD in Management. He holds dual diplomas in Business Administration (2009) and Political Science (2010) from the same university. Specializing in production and logistics management, Häussler combines optimization techniques with machine learning approaches to address complex manufacturing challenges. His research focuses on Workload control systems Order release mechanisms Lead time management Reinforcement learning applications Semiconductor manufacturing optimization Behavioral operations in supply chains Recent publications highlight his work on integrated production planning , explainable AI for powertrain control , and dynamic workload allocation . He actively presents at major conferences like Winter Simulation Conference, EURO, and International Working Seminar on Production Economics. Häussler also teaches master's level courses and supervises thesis work in production economics, while serving as a guest lecturer on topics at the intersection of AI and manufacturing.

Tessa Bergمشاهده پروفایل

دانشیار

• Information Systems
• Collaborative Visual Communication
• Online Privacy and Security
• +۴ مورد دیگر

Dr. Tessa Berg is an Associate Professor in Computer Science at Heriot-Watt University's School of Mathematical & Computer Sciences. She holds a PhD in Rich Picture Interpretation (2013) and is a Fellow of the Higher Education Academy (2015) and recipient of the University's 'Learning and Teaching Oscar' (2016). Her work bridges information systems, visual communication, and social equity in technology. Heriot-Watt University (2014–present) Edinburgh Napier University (2014–2015) Research Focus: Berg's work explores: Collaborative visual methods for system understanding Online safety for autistic individuals Gender equality in STEM International student transition challenges Digital engagement for marginalized communities UN Sustainable Development Goals alignment Publication Trends: Recent works span vocational education, cybersecurity, autism research, and educational equity with focus on visual tools like Rich Pictures. Her 2025 paper examines adult apprenticeship motivations, while 2024 studies gender disparities in work-integrated learning. Awards: Fellow of Higher Education Academy (2015) Learning and Teaching Oscar (2016) Leadership: Berg serves as Director of Academic Quality for MACS since 2019 and has coordinated 'girls into computing' outreach initiatives. She has supervised 3 PhD students and conducted industry consultancy on system requirements and Rich Picture training.

Patrick Munroeمشاهده پروفایل

پژوهشگر

• Optimization
• Operational Research
• Mathematical Modeling
• +۵ مورد دیگر

Patrick Munroe serves as a Research Associate II in Data Science and Operational Research at GERAD, affiliated with HEC Montréal. He holds a PhD in Mathematics from McGill University (2015) and has developed expertise at the intersection of theoretical mathematics and practical optimization problems. His research focuses on: Mathematical optimization methods Air cargo management systems Personnel scheduling algorithms Stochastic modeling for logistics Munroe's work demonstrates a strong transition from theoretical mathematics to applied operational research. His publications reveal expertise in developing sophisticated algorithms for complex real-world problems, particularly in transportation and logistics sectors. He combines mathematical rigor with practical industry applications through his partnership with Air Canada. From December 2017 to April 2021, he conducted postdoctoral research at Polytechnique Montréal's Department of Mathematics and Industrial Engineering under Professors François Soumis and Issmail El Hallaoui, focusing on air cargo management. From June 2021 to May 2022, he continued this work with a focus on personnel scheduling problems under the co-direction of Guy Desaulniers.

Sıdıka Melek Başakمشاهده پروفایل

استاد

• Industrial Engineering
• Optimization
• Fuzzy Logic
• +۳ مورد دیگر

Prof. Dr. Sıdıka Melek Başak is a faculty member at Yeditepe University , affiliated with the Faculty of Engineering and Department of Industrial and Systems Engineering . Her primary research areas include Industrial Engineering , Fuzzy Logic , and Stochastic Processes . Education: PhD in Econometrics (1987-1990), Marmara University MS in Mathematics (1978-1980), Hacettepe University BSc in Mathematics (1972-1978), Middle East Technical University Her research integrates Fuzzy Logic with optimization techniques for environmental site characterization, human mortality modeling, and migration analysis. She has developed geometric partitioning metaheuristics and fuzzy areal assessment frameworks to address complex optimization problems. Notable trends in her publications include fuzzy-based modeling for environmental systems, stochastic optimization methods, and hybrid Bayesian-fuzzy approaches for forecasting international migration patterns. Her work spans interdisciplinary applications in engineering , demographics , and public policy . Grants & Projects: Economic Costs of Violence against Young Children in Turkey (Principal Investigator, completed 2012) PURE Protection Groundwater Resources (Principal Investigator, EU-funded, completed 1999)

Erik Sverdrupمشاهده پروفایل

مدرس ارشد

• Causal Inference
• Statistical Computing
• Data Science
• +۴ مورد دیگر

Erik Sverdrup is a Senior Lecturer in the Department of Econometrics & Business Statistics at Monash University. His research focuses on causal inference, statistical computing, and data science, with applications spanning mental health analytics, econometrics, and machine learning. Recent work has emphasized treatment effect heterogeneity, survival analysis, and algorithm development for complex healthcare and financial datasets. Research Interests: Causal inference, treatment effect modeling, statistical computing, mental health analytics, financial risk analysis. Key Collaborations: Involved in multi-institutional studies with applications to psychiatric research, veterans' health, and global disability assessment. Email Contact: Erik.Sverdrup@monash.edu

• Data Analytics
• Artificial Intelligence
• Operations Research
• +۷ مورد دیگر

Dr. Steven Prestwich is a Lecturer in the School of Computer Science & I.T. at University College Cork, Ireland, and serves as Principal Investigator for the Optimisation & Decision Analytics research group. He holds key investigator roles in two major Irish research initiatives: the multi-million-euro Insight Centre for Data Analytics and the Confirm smart manufacturing project, both involving cross-institutional university collaborations. His educational background includes: PhD in Computer Science, University of Manchester, UK MA in Mathematics, University of Oxford, UK Dr. Prestwich's research spans Data Analytics, Artificial Intelligence, and Operations Research with a distinctive focus on hybrid methodologies integrating optimisation and machine learning for complex real-world problem solving. His current projects explore deep learning applications, time series forecasting, bilevel optimisation frameworks, supply chain optimisation, and constraint acquisition systems, reflecting his commitment to practical computational solutions. He actively contributes to Ireland's research infrastructure through the Insight Centre and Confirm project, where his Optimisation & Decision Analytics group drives innovation in data-driven decision making. These roles involve leading collaborative teams across academic and industrial partners to advance smart manufacturing and analytics capabilities.