جست‌وجوی استاد و پژوهشگر

Sammi Yu Tangمشاهده پروفایل

دانشیار

• Supply Chain Risk Management
• Sustainable Supply Chains
• Operations Management-Marketing Interface
• +۳ مورد دیگر

Sammi Yu Tang is an Associate Professor of Operations and Supply Chain Management at the University of Miami's Miami Herbert Business School. Her research focuses on supply chain risk management, sustainable supply chains, operations-marketing interfaces, and healthcare operations. She has published in top-tier journals like Manufacturing & Service Operations Management and Production and Operations Management , with work supported by grants from the Boeing Center for Supply Chain Innovation and the University of Miami. She has received multiple teaching awards, including the 2025 Miami Herbert Business School Teaching Award and Poets & Quants' Top 50 Undergraduate Professors of 2021. Ph.D. in Operations and Manufacturing Management (2008), Washington University in St. Louis MSBA in Business (2005), Washington University in St. Louis B.S. in Economics (2001) and Geophysics (2001), Peking University Her academic work explores supply chain coordination under uncertainty, with a particular emphasis on risk mitigation through contract design, inventory strategies, and disruption management. Recent publications analyze reshoring capacity under policy uncertainty, incentive structures for supplier reliability, and multi-tier sourcing strategies. Earlier work includes penalty contracts for soft orders and Bayesian models for clinic no-show predictions. Sammi Tang’s peer-reviewed articles span supply chain ethics, disruption management, and healthcare analytics. Key themes include yield uncertainty, asymmetric information, and the economic implications of service provision in distribution channels. Her research has been recognized with the CSAMSE 2018 Best Paper Award and multiple M&SOM and POMS service accolades. 2025 Teaching Award for Tenure/Tenure-Emerging Track Faculty Poets & Quants Top 50 Undergraduate Professors (2021) Two M&SOM Meritorious Service Awards (2019–2020) CSAMSE Annual Conference Best Paper Award (2018) Provost Research Award (2012) She mentors doctoral students in supply chain management and operations, evidenced by underlined co-authorships in her publications. Sammi Tang serves on editorial boards as Senior Editor for Production and Operations Management and Associate Editor for Decision Sciences . Her service extends to conference organization, grant review panels, and university governance through the Faculty Senate Budget Committee and Graduate Council.

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.

Emilio Russoمشاهده پروفایل

استاد

• Mathematical Finance
• Actuarial Mathematics
• Option Pricing Theory
• +۳ مورد دیگر

Emilio Russo is a Full Professor in the Department of Economics, Statistics and Finance at the University of Calabria, Italy, where he has maintained continuous academic appointments since 2003. His career progression includes teaching assistant positions (2003-2007), Researcher (2007-2015), Associate Professor (2015-2024), and Full Professor (2024-present), with consistent teaching responsibilities in Financial Mathematics and Mathematical Methods for Economics across undergraduate and graduate programs in Economics, Business Administration, and Mathematics. He holds a Degree in Statistics and Actuarial Science (cum laude, 2003) from the University of Calabria, an MPhil from Brunel University (2005), and a PhD in Computational Methods for Economic and Financial Forecasts and Decisions from the University of Bergamo (2006). His research focuses on mathematical finance and actuarial mathematics, particularly option pricing theory, interest rate models, regime-switching frameworks, and insurance policy valuation under stochastic environments. Analysis of his recent publications reveals a dominant trend in developing lattice-based numerical methods for pricing complex financial derivatives and insurance products under multiple risk factors, including fractional Brownian motion, stochastic volatility, and regime-switching dynamics. His work frequently addresses path-dependent features in variable annuities, surrender options, and the impact of exogenous factors on policyholder behavior, with strong emphasis on computational efficiency and model flexibility. Professor Russo serves as Principal Investigator for the PRIN 2022 project "Building resilience to emerging risks in financial and insurance markets" and Task Leader for PNRR 2022's "Age-It" project (Spoke 6, Work Package 5). He actively contributes to academic discourse as a reviewer for Quantitative Finance, Journal of Computational and Applied Mathematics, Scandinavian Actuarial Journal, and other leading publications. He is a core member of the University of Calabria's research group "Metodi quantitativi per l'economia, la finanza ed il management," which specializes in quantitative decision-making models for finance, actuarial science, industrial economics, and logistics using mathematical programming, econometric techniques, and statistical methods.

Francesca Vocaturoمشاهده پروفایل

دانشیار

• Operations Research
• Logistics
• Optimization
• +۴ مورد دیگر

Francesca Vocaturo serves as Associate Professor of Operations Research at the University of Calabria's Department of Economics, Statistics and Finance (DESF), where she has maintained continuous academic affiliation since 2003. Her teaching portfolio includes Operations Research for Master's programs in Business Administration and Management, and Mathematical Methods for Economics for undergraduate Economics students, with documented teaching loads of 63+ hours annually through the 2024/25 academic year. Her research expertise centers on Logistics Optimization with specialized focus on stochastic vehicle routing, urban transportation systems, and crowdshipping applications. Key methodological contributions span combinatorial optimization, dynamic programming, and simulation-based approaches to solve complex logistics challenges under uncertainty. Current projects integrate machine learning with optimization frameworks for sustainable mobility solutions. Recent publication trends (2021-2025) reveal concentrated advancement in dynamic logistics systems , particularly crowdshipping models, real-time inventory routing, and risk-aware transportation planning. Her work bridges theoretical algorithm development with practical applications in postal services, hazardous material transport, and public transit optimization. Notable recognition includes: Editors' Choice Article selection by the European Journal of Operational Research (2020) She has supervised 26 Master's theses in Business Administration covering topics from inventory management to green logistics, plus the PhD dissertation of Sara Stoia on crowdshipping. As Local Coordinator for the national PRIN2020 project ULTRA OPTYMAL , she leads research on optimization under uncertainty for urban logistics, while previously contributing to projects like SOLIDO (industrial logistics) and GREENPLAN (workforce optimization). Vocaturo actively collaborates with the TESEO laboratory (Tecnologie di Simulazione e Ottimizzazione) and the Quantitative Methods for Economics, Finance and Management research group within DESF, maintaining international partnerships through research stays at the University of Montreal, University of Valencia, and teaching engagements in Portugal.

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.

Jürgen Struckmeierمشاهده پروفایل

استاد مدعو

• Theoretical Physics
• General Relativity
• Gauge Theory
• +۶ مورد دیگر

Jürgen Struckmeier is an Adjunct Professor at the Department of Physics, Goethe University Frankfurt am Main, and a FIAS Fellow since 2016 leading the working group "Canonical Gravity Theory". His research focuses on deriving general relativity through canonical transformation formalism under dynamic space-time, grounded in classical field theory and the principle of action. Research Interests : Covariant canonical gauge theories of gravity Hamiltonian mechanics in extended phase space Dark energy and cosmic expansion Stochastic effects in particle beams Noether's theorem and Lie symmetries Geometrodynamics and torsion in spacetime Scientific Awards : 1995 Particle Accelerator Conference Award for work on emittance growth in intense beams Collaborators and Students : Vladimir Denk, Matthias Hanauske, Dirk Kehm, Johannes Kirsch, Julia Lienert, David Vasak, and PhD student Armin van de Venn.

• Chemical Process Control
• Biodiesel Production
• Distillation Modeling
• +۴ مورد دیگر

Adel Mhamdi is a Professor at RWTH Aachen University's Department of Chemical Engineering within the Faculty of Mechanical Engineering. His research focuses on process systems engineering with emphasis on nonlinear model predictive control, hybrid modeling, and sustainable process design for chemical and biochemical systems. He leads research in electrified biodiesel production, distillation optimization, and polymerization process control. His research interests span chemical process control, biodiesel production optimization, distillation modeling, hybrid mechanistic-data-driven approaches, polymerization processes, and heat transfer optimization. Mhamdi develops advanced control strategies including economic NMPC, distributed control architectures, and chance-constrained optimization to address challenges in flexible operation of energy-intensive processes. His work integrates computational fluid dynamics with process modeling for reactor design and optimization. Analysis of his recent publications reveals strong trends in electrification of chemical processes, particularly biodiesel production with heat integration. His research increasingly incorporates machine learning for hybrid modeling and employs advanced computational techniques like Bayesian optimization for reactor geometry design. Key application areas include renewable energy systems, polymer manufacturing, and separation processes. Mhamdi actively supervises doctoral researchers including M. El Wajeh, J.M. Faust, and P.J. Joy who appear as first authors on multiple publications. His research group collaborates extensively with the Mitsos group at RWTH Aachen, securing publications in top journals including Industrial & Engineering Chemistry Research and Computers & Chemical Engineering . Current projects focus on real-time optimization of electrified processes and development of open-source modeling platforms like HybridML.

Sukesh Agharaمشاهده پروفایل

استاد

• Nuclear Security
• Nuclear Safeguards
• Nuclear Nonproliferation
• +۴ مورد دیگر

Sukesh Aghara is a Professor and Associate Dean of Graduate Studies and Research at the Francis College of Engineering, University of Massachusetts Lowell, where he directs the Nuclear and Chemical Engineering program and leads the Integrated Nuclear Security and Safeguards Laboratory (INSSL). He also serves as a Nuclear Security Fellow with the Center for Terrorism and Security Studies (CTSS) and co-director of the IAEA-funded Intercontinental Nuclear Institute (INI) for international nuclear training. His educational background includes a Ph.D. in Mechanical Engineering (2003) and M.S. in Mechanical Engineering (2001) with Nuclear and Radiation Engineering focus from the University of Texas at Austin, plus M.S. (1999) and B.A. (1996) in Environmental Engineering from Vanderbilt University. His academic journey reflects a transition from environmental to nuclear engineering specialization. Dr. Aghara's research centers on nuclear nonproliferation, security, and safeguards using experimental and computational approaches. His work characterizes radiation fields, evaluates reactor fuel inventories, and models cyber-physical nuclear systems. Current projects address cybersecurity vulnerabilities in nuclear plants, safeguards inspection effectiveness, and nuclear reactor applications for decarbonization. His laboratory INSSL focuses on practical solutions for global nuclear security challenges through radiation transport modeling and safeguards verification technologies. Analysis of his recent publications reveals a strong trajectory toward securing next-generation nuclear systems, particularly small modular reactors (SMRs). His work integrates cybersecurity with physical safeguards, develops robotic inspection platforms, and applies stochastic modeling for verification. Key themes include optimizing security architectures for advanced reactors while reducing operational costs and enhancing decarbonization potential through nuclear energy. Best Presentation and Paper Award (American Nuclear Society/European Nuclear Society) Outstanding Achievement in Teaching Award (UT Austin) NASA Administrator's Fellow (Cohort 11, 2014) Visiting Scientist at NASA Langley and Oak Ridge National Laboratory President of American Nuclear Society UT Chapter Outstanding Research Award (Roy G. Perry College of Engineering) As Principal Investigator, Dr. Aghara manages multiple federally funded projects including robotic security platforms for nuclear facilities (NNSA/BNL, 2020-present), advanced reactor operational considerations (INL/UTK, 2019-2023), and cybersecurity incident response planning (INL, 2017-2021). His grants consistently address national priorities in nuclear security infrastructure and next-generation reactor safeguards, with a focus on practical implementation and international capacity building through the INI program. The Integrated Nuclear Security and Safeguards Laboratory (INSSL) operates as a multidisciplinary hub collaborating with national laboratories (ORNL, INL), the IAEA, and international partners. It develops radiation detection systems, cybersecurity frameworks, and training protocols while maintaining close ties with the Center for Terrorism and Security Studies (CTSS) for cross-disciplinary threat analysis. Current projects deploy robotic platforms like the Spot robot for automated inspections and model advanced reactor security architectures.

Qi Wuمشاهده پروفایل

دانشیار

• Empirical Research in Operations Management
• Finance and Operations Management Interface
• Risk Management
• +۶ مورد دیگر

Qi Wu is an Associate Professor in the Department of Operations at Weatherhead School of Management, Case Western Reserve University. Her research bridges empirical operations management with financial and risk analysis, focusing on procurement strategies amid globalized supply-demand uncertainties. PhD in Information, Risk and Operations Management (University of Texas at Austin, 2013) MS in Mathematics and Statistics (University of South Carolina) Bachelor’s in Operations Research (Huazhong University of Science and Technology, China) Her work explores the interplay between financial constraints and operational decisions, including inventory financing, healthcare service optimization, and supply chain sustainability. She employs stochastic control models and econometric frameworks to analyze risk-averse strategies and contractual design. Recent publications highlight trends in supply chain financing, waste reduction in retail promotions, and capital structure dynamics under operational flexibility. She has received accolades such as the Emerging Impact Research Award (2020) and Lewis-Progressive Fellowship (2020). 2020 Emerging Impact Research Award 2018 Meritorious Service Award 2020 Lewis-Progressive Fellow Dr. Wu teaches courses in probability, statistical analytics, and revenue management, and has contributed extensively to journals like Management Science and Production and Operations Management .

• Finance
• Financial Engineering
• Corporate Finance
• +۳ مورد دیگر

Professor Yasunori Katsurayama at Waseda University's Faculty of Social Sciences is a leading scholar in finance and financial engineering with over 30 years of research experience. His work combines mathematical modeling with empirical analysis to address corporate finance challenges, particularly in Investment decision timing Credit risk valuation Real options frameworks . His research spans 1989-2025 with significant contributions to real options analysis , credit risk modeling , and portfolio optimization . Key trends in his 15 most recent papers show increasing focus on Stochastic investment timing Japanese market reforms Credit rating inconsistencies Technology-driven R&D valuation . As concurrent researcher at Waseda Research Institute for Science and Engineering (2024-2025) and director of the Institute for Motivation Science, he bridges finance with broader data science initiatives. His teaching portfolio includes Corporate Finance , Computational Finance , and Business Management courses at both undergraduate and graduate levels.

• Signal Processing
• Machine Learning
• Optimization
• +۷ مورد دیگر

Hiroyuki Kasai is a Full Professor at the School of Fundamental Science and Engineering, Waseda University, where he leads research in signal processing, machine learning, and optimization. He holds a B.Eng. (1996), M.Eng. (1998), and Dr.Eng. (2000) in Electronics, Information, and Communication Engineering from Waseda University. His career includes positions as Associate Professor and Professor at the University of Electro-Communications (2007-2019), Senior Policy Researcher at Japan's Cabinet Office (2011-2013), and visiting roles at Technical University of Munich and British Telecom. His research spans: Fundamental methodologies : Riemannian optimization, stochastic gradient algorithms, tensor decomposition Applied domains : Network analysis, multimedia systems, environmental sound processing, video coding Emerging areas : Low-rank modeling, manifold learning, and large-scale anomaly detection His publications focus on efficient algorithms for high-dimensional data, with recent work emphasizing Riemannian manifold optimization and real-time tensor analysis. This includes development of open-source tools like SGDLibrary (MATLAB) and McTorch (PyTorch) for optimization tasks. Awards include: IEEE ICCE Best Paper Award (2011) Yamashita Memorial Award (2003) Ericsson Young Scientist Award (2001) 電気通信普及財団賞 (2015) IEICE Service Recognition Award (2010) He maintains memberships in IEEE, IEICE, IPSJ, and JSIAM, and has contributed to over 100 peer-reviewed publications with significant citation impact (h-index 27 via Google Scholar).

• Applied Probability
• Stochastic Processes
• Queueing Theory
• +۷ مورد دیگر

Bert Zwart is a Professor and Scientific Staff Member at Centrum Wiskunde & Informatica (CWI) in Amsterdam, where he leads the Stochastics group. He also holds a professorship by special appointment at Technische Universiteit Eindhoven (TU/e). His research spans applied probability, stochastic processes, queueing theory, and operations research, with applications in power systems, supply chains, and risk modeling. His research interests focus on extreme value theory , large deviations , asymptotic analysis of stochastic systems , and random graphs . He develops theoretical tools to analyze rare events and performance limits in complex systems such as fork-join queues, power grids, and stochastic networks. His work combines deep probabilistic insights with practical applications in engineering and operations management. Recent publications (2023–2025) reveal a strong focus on tail behavior in queueing systems, large deviations in heavy-tailed processes, and optimization in power networks. The articles span high-impact journals like Mathematics of Operations Research , Queueing Systems , and Random Structures & Algorithms , indicating sustained leadership in applied probability and stochastic modeling. His scientific awards include: Erlang Prize (2008) Dantzig Prize (2015) Best publication award, INFORMS Revenue Management & Pricing (2016) IBM Faculty Award (2008) ASML Prize (2002) Gijs de Leve Prize (2002) Applied Probability Trust Award (2001) Best paper, Performance conferentie, Namen, Belgium (2010) Zwart has secured significant research funding, including a Vici grant from NWO on rare events, multiple NWO TOP and STAR cluster grants, and funding for PhD positions and postdocs. He has advised numerous students (though not explicitly listed here) and collaborates widely with researchers such as Maria Vlasiou, Remco van der Hofstad, and Onno Boxma. He is actively involved in teaching, offering advanced courses like Stochastic Decision Theory and Asymptotic Methods in Queueing Theory . He leads the Stochastics group at CWI, a leading research unit in probability and operations research.

• Ecology
• Global Change Ecology
• Biogeography
• +۶ مورد دیگر

Dr. Frederik Saltre is a Senior Lecturer in Ecology and Biogeography at the University of Technology Sydney and a Research Scientist at the Australian Museum . He leads the Biogeography, Ecology & Modelling (BEAM) Lab and serves as Chief Investigator in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. His career spans institutions including Flinders University (2017–2024), University of Adelaide (2013–2017), and Oregon State University (2011–2013). Education: PhD in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2010) MSc in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2006) BSc in Biology of Organisms, University Montpellier 2 (2004) Research Interests: Dr. Saltre specializes in global change ecology , paleoecological modeling , and species distribution dynamics . His work integrates stochastic demographic models , biomechanical constraints , and machine learning to study species responses to climate change, extinction mechanisms, and human-environment interactions. Key methodologies include process-explicit models , trophic network analysis , and radiocarbon calibration techniques . Publications & Tools: With over 50 peer-reviewed articles, his research spans megafauna extinction cascades , monsoon dynamics , and environmental watering strategies . He co-developed the R package Rextinct for extinction time estimation and CRIWM algorithm for radiocarbon chronologies. Scientific Awards: Visiting Scholarship, University of Colorado Boulder (2019) Environment Institute Grant, University of Adelaide (2014) Biogeography Society Travel Grant (2013) Assistant Professor Fellowship, France (2010) Supervision: Current: 8 PhD/Honours students Past: 2 MSc/Honours students Leadership: Coordinator, Global Ecology Laboratory Member, Weisbecker Lab Grant Reviewer: NSF, ERC, SNF, BES

Dean Chatfieldمشاهده پروفایل

دانشیار

• Supply Chain Management
• Business Simulation
• Operations Management
• +۳ مورد دیگر

Dean Chatfield is an Associate Professor in the Department of Information Technology & Decision Sciences at Old Dominion University , where he teaches and conducts research in supply chain management and simulation modeling. Education: Ph.D. in Management Science and Information Systems, Pennsylvania State University (2001) M.S. in Management Information Systems, Pennsylvania State University (1993) M.B.A. in Finance, Pennsylvania State University (1991) B.S. in Management Systems, Rensselaer Polytechnic Institute (1989) Research Interests focus on supply chain dynamics and inventory system optimization , particularly examining phenomena like the Bullwhip Effect , stockout propagation , and risk amplification in multi-echelon systems. His work employs discrete-event simulation and agent-based modeling to develop decision support frameworks for complex supply chain scenarios, including cascading failures and stochastic lead times. Representative Publications include simulation studies on network characteristics affecting supply chain resilience (International Journal of Production Economics, 2020), crossover-aware inventory policies (Transportation Research Part E, 2018), and quantifying information-sharing impacts on demand amplification (Production and Operations Management, 2004). His research has secured over $834,238 in grants , including a $551,438 NSF CAREER award for simulation-based inventory modeling. Scientific Honors: 2005 Best Application Research Paper, Decision Sciences Institute Grants address technology gaps in transportation logistics and mathematical frameworks for service-driven systems. He has developed specialized simulation tools like SISCO and SCML to support industry applications.

• Machine Learning
• Optimization
• Deep Learning Theory
• +۷ مورد دیگر

Prof. Dr. Aurelien Lucchi is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Basel, Faculty of Science. His research group focuses on the intersection of optimization and machine learning, particularly in advancing theoretical understanding and algorithmic design for deep learning systems. His research interests include: Stochastic and non-convex optimization Deep learning theory and generalization Kernel methods and spectral analysis Transformer architectures and training dynamics Batch Normalization and initialization effects Modeling optimization via stochastic differential equations (SDEs) The recent publications (2023–2025) highlight a strong focus on theoretical machine learning, especially in characterizing optimization landscapes, generalization in kernel methods, and the role of noise and adaptive methods in training. There is a clear trend toward using advanced mathematical tools—such as random matrix theory, SDEs, and curvature analysis—to explain phenomena in deep learning. His group actively publishes in top venues including NeurIPS, ICML, ICLR, and AISTATS. Scientific awards and recognitions include: SNF Consolidator Grant (1.7M CHF) Prof. Lucchi leads an active research group with postdoctoral fellows and ongoing projects, including work on quantum machine learning and noise-adaptive optimization. He has secured competitive research funding and mentors early-career researchers. His group has received recent paper acceptances at ICLR 2025, AISTATS 2025 (oral), and NeurIPS 2024, indicating strong momentum in theoretical and algorithmic machine learning. He previously held a scientific research position at ETH Zurich (2014–2021) and earned his PhD from EPFL. The group is currently involved in two major ongoing projects: Designing and Training Hybrid Hierarchical Quantum Neural Networks with Quantum Advantage Noise-Adaptive Optimization Methods and their Robustness Properties