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Baichun XiaoView profile

Professor

• Operations Management
• Revenue Management
• Service Management
• +3 more

Dr. Baichun Xiao serves as Senior Professor of Management at Long Island University's College of Management, where he has been faculty since 1998 and chaired the Department of Management since 2007. He concurrently holds visiting professorships at Peking University, Tsinghua University, and the Chinese University of Hong Kong, directing significant research initiatives in China's service sector. His educational credentials include: B.S. in Mathematics from Nanjing University, China M.B.A. from Catholic University of Leuven, Belgium Ph.D. in Management Science from the Wharton School, University of Pennsylvania Dr. Xiao's research pioneers Operations Management, Revenue Management, Service Management, and Optimization with groundbreaking work in dynamic pricing models, unconstraining demand forecasting, and perishable product management. His methodologies address critical industry challenges in airline seat allocation, sponsored search advertising, and high-tech product lifecycle management, emphasizing risk-sensitive decision frameworks applicable across global markets. His publication trajectory reveals consistent innovation in revenue management systems, evolving from foundational airline applications (1990s) to contemporary digital marketplace solutions (2010s). Recent work integrates Chinese market dynamics with global optimization theory, while maintaining rigorous mathematical approaches in top journals like Management Science and Operations Research . His scholarly recognition includes: Peking University's Outstanding Teaching Award (2010-2012) LIU Post's Professor of the Year (2009) Fulbright Specialist Program approval (2011-2015) Multiple National Natural Science Foundation of China grants Wharton School Outstanding Research Fellowships (1986, 1987) As Department Chair, he leads 12 research scholars in curriculum development while securing industry partnerships with Continental Airlines, Sichuan Airlines, and Mengniu Dairy. His Spanish government-funded research at MIT-Zaragoza Logistics Center exemplifies cross-border academic collaboration. Previously, he directed Sichuan University's Service Management Institute (2000-2005) and Southwest Jiaotong University's Center for Service Operations Management (2005-2010), establishing China's first revenue management research hubs for aviation and service industries.

Stefano LucidiView profile

Professor

• Nonlinear Optimization
• Derivative-Free Optimization
• Mixed Integer Programming
• +3 more

Stefano Lucidi is a Full Professor of Operations Research at Sapienza University of Rome, where he is affiliated with the Department of Computer, Automatic and Management Engineering within the Faculty of Information Engineering, Computer Science and Statistics. He has held this position since November 1, 2000, after serving as Associate Professor from November 1, 1992 to October 31, 2000. He was coordinator of the PhD program in Operations Research from 2010 to 2012 and was a shareholder of the university spin-off ACTOR SRL until July 2024. His research interests span Nonlinear Optimization, Derivative-Free Optimization, Mixed Integer Programming, and Global Optimization. His methodological work focuses on unconstrained optimization methods, constrained optimization methods, non-differentiable optimization methods, derivative-free methods, and global optimization techniques. His applied research includes mathematical modeling of biological phenomena in cell kinetics, identification of astrophysical parameters, optimal management of bookable seats in rail transport, and optimal design of electromagnetic devices and industrial electric motors. His recent publications demonstrate a strong focus on derivative-free optimization methods, complexity analysis of algorithms, multi-objective optimization, and applications in diverse fields including healthcare, transportation, and neuroscience. His work bridges theoretical advances in optimization with practical applications across multiple domains. His significant contributions to the field include developing algorithms for simulation-driven design optimization, addressing nonsmooth optimization problems, and creating methods for multi-fidelity computations. His research has been published in top journals including Optimization Methods & Software, Journal of Optimization Theory and Applications, and Optimization Letters. Full Professor of Operations Research since 2000 PhD program coordinator (2010-2012) Shareholder of ACTOR SRL spin-off (2011-2024) Active contributor to optimization theory and applications Professor Lucidi has been instrumental in advancing optimization methodologies while maintaining strong connections to practical applications across various industries. His work continues to influence both theoretical developments and real-world implementations of optimization techniques.

• Combinatorial Optimization
• Polynomially Solvable Special Cases
• Assignment Problems
• +6 more

Eranda Dragoti-Cela is an Associate Professor at the Department of Optimization and Discrete Mathematics, Graz University of Technology. She specializes in combinatorial optimization, focusing on polynomially solvable special cases of NP-hard problems like the Quadratic Assignment Problem (QAP), portfolio optimization, and algorithmic graph theory. Education: M.Sc. in Applied Mathematics, University of Tirana (1992) Ph.D. in Technical Sciences, Graz University of Technology (1995) Habilitation in Applied Mathematics (2001) Her research spans combinatorial optimization (QAP, assignment problems, location problems), portfolio optimization (risk-return models, ordinal information integration), and graph theory (edge intersection graphs, network flows). Recent work includes linearization of quadratic shortest path problems and data arrangement on trees. She supervises bachelor's and master's theses in discrete mathematics and teaches courses like Combinatorial Optimization 1 and Risk Theory and Management , emphasizing algorithmic rigor and practical applications in finance and engineering.

• Catalysis
• Energy Chemistry
• Chemical Process Engineering
• +3 more

Yasushi Sekine is a Professor at Waseda University 's Faculty of Science and Engineering and School of Advanced Science and Engineering, specializing in catalysis , energy chemistry , and surface protonics . His research bridges heterogeneous catalysis and electric field-assisted chemical processes, focusing on CO2 conversion, ammonia synthesis, and environmental emission control. PhD in Engineering from the University of Tokyo Key research areas: Catalyst design for resource chemical processes, energy conversion systems His work emphasizes electric field-mediated catalytic reactions , enabling low-temperature conversions for methane reforming, nitrous oxide decomposition, and ammonia production. Recent studies explore metal/metal oxide interfaces , chemical looping for equilibrium-unconstrained CO2 utilization, and quantum annealing for adsorption prediction. Notable scientific awards include: Royal Society of Chemistry Fellow (2021) MEXT Commendation for Science and Technology (2020) Chemical Society of Japan Academic Award (2019) Petroleum Society Paper Awards (2018, 2015) His catalytic systems have demonstrated high activity under electric fields , reduced carbon deposition via alloy catalysts, and novel mechanisms like the Mars-van Krevelen pathway in ethane dehydrogenation. Collaborations include industrial applications in automotive exhaust purification and renewable energy storage via liquid organic hydrogen carriers .

Hadar Averbuch-ElorView profile

Assistant Professor

• Computer Graphics
• Computer Vision
• Multimodal Perception Systems
• +7 more

Hadar Averbuch-Elor is an Assistant Professor at the Cornell Ann S. Bowers College of Computing and Information Science and Cornell Tech , with prior roles at Tel Aviv University and postdoctoral work at Cornell Tech. Her research bridges computer graphics and computer vision , focusing on integrating 3D geometry and natural language into multimodal perception systems. Education: B.S. in Electrical Engineering, Technion Israel Institute of Technology Ph.D. in Computer Science, Tel Aviv University Her recent publications highlight advancements in diffusion models , 3D reconstruction , and image generation , with applications in text-guided shape editing , floorplan localization , and cuneiform digitization . Papers span top conferences like ICCV , SIGGRAPH , CVPR , and Eurographics . Scientific Awards: Zuckerman Postdoctoral Scholar Fellowship Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences Rising Star in Electrical Engineering and Computer Sciences, UC Berkeley She advises PhD students including Morris Alper , Etai Sella , and Daniel Garibi , and has mentored former MS/BS students like Gal Fiebelman and Rachel Mikulinsky .

Dominique OrbanView profile

Professor

• Numerical Optimization
• Nonlinear Programming
• Numerical Linear Algebra
• +4 more

Dominique Orban is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a Ph.D. from FUNDP Namur and INP Toulouse and has established himself as a leading researcher in numerical optimization. His academic affiliations include the Institute for Data Valorization (IVADO) and the Decision Analysis Study and Research Group (GERAD). Professor Orban's research focuses on numerical mathematics, particularly continuous nonlinear optimization, nonlinear systems of equations, and numerical linear algebra. His work involves designing specialized numerical algorithms for optimization problems, with particular interest in degeneracy and ill-posed problems. His research spans theoretical development of algorithms, their implementation in software, and applications to real-world problems such as image reconstruction, optimal structure design, and optimization under differential constraints. Analysis of his recent publications (2021-2025) reveals a strong focus on developing practical optimization algorithms with theoretical guarantees. His work spans multiple areas including nonsmooth optimization, iterative methods for linear systems, regularization techniques, and software implementation in Julia. A notable trend is his increasing focus on developing open-source software tools that make advanced optimization methods accessible to practitioners. Over 160 publications including journal articles, conference papers, and technical reports Multiple publications in top optimization journals each year through 2025 Strong emphasis on both theoretical foundations and practical implementation Increasing focus on Julia-based optimization software development Professor Orban has successfully supervised 9 doctoral students and 13 master's students to completion, demonstrating his commitment to mentoring the next generation of researchers. His supervision style appears to balance theoretical depth with practical implementation skills, preparing students for both academic and industry careers. His research has been supported through various institutional and collaborative grants, enabling him to maintain an active research program with multiple ongoing projects. His contributions to the field include significant software developments such as Krylov.jl, JSOSuite.jl, and DCISolver.jl, which have made advanced optimization techniques more accessible to the broader scientific community. These tools reflect his philosophy of bridging theoretical optimization with practical computational implementation.

Tales de Vargas LisboaView profile

Researcher

• Composite Structures
• Numerical Modeling
• Lightweight Design
• +3 more

Tales de Vargas Lisboa serves as a Researcher in the Tailored Lightweight Composites Department within the Polymer Materials Engineering Division at Leibniz Institute of Polymer Research Dresden. His work focuses on advanced computational methods for composite material design and analysis. His research spans Numerical and analytical modeling of composite structures Design optimization of Tailored Fiber Placement (TFP) components Nonlinear bending analysis of anisotropic plates Filament winding pattern generation with particular expertise in decomposition methods for solving complex structural mechanics problems. His publication record shows consistent contributions to mechanical engineering journals between 2017-2020, primarily addressing computational challenges in composite material behavior under various loading conditions. Key projects include International ZIM 'AniDo' and DAAD 'PROBRAL' collaborations. Led by Prof. Dr.-Ing. Axel Spickenheuer, the Tailored Lightweight Composites Department develops material-specific adaptations for continuous fiber-reinforced composites in extreme lightweight applications, with Lisboa contributing specialized computational expertise to the Advanced Composite Modeling research group. His technical capabilities bridge theoretical modeling and practical engineering applications, particularly in optimizing fiber paths and structural responses for high-performance composite components.

Yueqing LiView profile

Associate Professor

• Human Factors and Ergonomics
• Neuroergonomics
• Brain-Computer Interfaces
• +4 more

Dr. Yueqing Li serves as an Associate Professor in the Department of Industrial and Systems Engineering within Lamar University's College of Engineering. His expertise spans neuroergonomics, human-computer interaction, and data analytics with significant contributions to transportation safety and assistive technologies. Dr. Li's educational foundation includes: Ph.D. in Industrial Engineering from North Carolina State University M.S. in Industrial Engineering from University of Arkansas M.S. in Economics from Nanjing University of Aeronautics and Astronautics B.S. in Electronics Engineering from Zhengzhou University His research program integrates neuroergonomics (BCI systems, neurocognitive processing), human-computer interaction (haptic interfaces, AR-based systems), human factors engineering (driving safety, occupational ergonomics), and data science (machine learning applications for safety analytics). Current projects focus on UAV security systems, pipeline leak detection, and transportation resilience in extreme weather. Analysis of Dr. Li's 15 most recent publications reveals dominant themes in transportation safety (32% of works), neuroergonomics applications (28%), and machine learning for safety engineering (24%). His Southeast Texas-focused crash severity studies demonstrate methodological innovation through CART and fuzzy systems, while his BCI research bridges rehabilitation engineering and human factors. Key recognitions include: Engineering Faculty Fellow (Lamar University College of Engineering, 2017-2020) Eric Malstrom Endowed Memorial Scholarship (University of Arkansas) Multiple university-level teaching and research awards across three institutions Dr. Li actively mentors graduate students (11 primary advisees since 2017) and secures substantial research funding, including $516,031 from NSF for high-performance computing infrastructure and $33,172 from the Center for Advances in Port Management for autonomous freight safety. His $600,000+ grant portfolio addresses critical challenges in port security, pipeline monitoring, and transportation resilience. The Human Factors and Ergonomics Laboratory under Dr. Li's direction features 16-channel EEG systems, BIOPAC data acquisition suites, wireless EMG/ECG modules, driving simulators, and Gazepoint eye tracking technology. His research team collaborates with TEES and the Texas Department of Transportation on interdisciplinary projects spanning neuroergonomics, transportation safety, and assistive technology development.