جست‌وجوی استاد و پژوهشگر

Volker Mehrmannمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Differential-Algebraic Equations
• Control Theory
• +۴ مورد دیگر

Volker Mehrmann is a full professor at the Technical University of Berlin in the Institute of Mathematics , Faculty II - Mathematics and Natural Sciences. He has held academic positions at Chemnitz University of Technology and RWTH Aachen University . His roles include leadership in research centers: Spokesperson for the DFG Research Center Matheon (2008-2016), President of the European Mathematical Society (2017-2022), and committee member of the Cluster of Excellence MATH+. PhD: Bielefeld University (1982) Habilitation: Bielefeld University (1987) His research interests span Numerical Linear Algebra , Differential-Algebraic Equations (DAEs) , Control Theory , and Industrial Mathematics . Recent work focuses on port-Hamiltonian systems and model order reduction for multi-physics applications. Key scientific contributions include: ERC Advanced Grant (2011-2016) on multi-physics systems Hans Schneider Prize (2019) SIAM Fellow (2011) and AMS Fellow (2022) He serves as editor-in-chief of Linear Algebra and Its Applications and contributes to numerous editorial boards. His leadership roles include presidency in the European Mathematical Society and GAMM .

• Renewable Energy Systems
• Power Electronics
• Green Hydrogen Technology
• +۳ مورد دیگر

Dr. Saman A. Gorji is a Senior Lecturer in Electrical & Renewable Energy Engineering at Deakin University's School of Engineering. His work focuses on advancing renewable energy systems, particularly in DC microgrids, green hydrogen, and power electronics. He holds a PhD from Swinburne University of Technology and has held visiting roles at Queensland University of Technology and as a CSIRO International Hydrogen Research Fellow. His research emphasizes translating R&D into practical solutions, such as integrating renewable energy microgrids and green hydrogen technologies. Research Interests: Power Electronics, Green Hydrogen Production, DC Microgrid Control, Energy Storage Systems, and Smart Grid Technologies. He has led major grants including the 2024 CSIRO Hydrogen Fellowship and the FEnEx CRC projects. His teaching includes units like 'Energy Efficiency, Management and Market Analysis' and micro-credentials in renewable energy microgrids. Current doctoral students are researching topics like virtual inertia control and electrolyser integration. Grants: Over $1.1M in funding, including industry collaborations with Barwon Water and CSIRO. Awards: IEEE paper awards (2017), Senior IEEE membership, and Harvard Leadership certification (2025). Lab/Team: Leads Deakin's Renewable Energy Microgrid research, focusing on hydrogen and grid integration.

Mads Røge Eldrupمشاهده پروفایل

استادیار

• Coastal Engineering
• Fluid Dynamics
• Numerical Modeling
• +۴ مورد دیگر

Mads Røge Eldrup is an Assistant Professor at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. His research focuses on coastal engineering, wave dynamics, and structural resilience of marine infrastructure. He leads the Ocean and Coastal Engineering Research Group and contributes to the BLUE – Marine & Maritime Research initiative. Research interests include breakwater stability, nonlinear wave modeling, physical model testing, and numerical simulation techniques. Key projects involve the RESCUER initiative (2024-2028) addressing resilient coastal solutions. He has authored/co-authored 46 publications since 2014, with recent work on NL-SORS wave decomposition, submerged bar dynamics, and rock armour stability. He actively participates in international conferences and workshops, including sessions on Smoothed Particle Hydrodynamics and nonlinear wavemaker theory. Collaborations span institutions globally, focusing on coastal resilience and hydraulic engineering challenges.

Daniel M. Liberzonمشاهده پروفایل

استاد

• Switched and Hybrid Systems
• Nonlinear Control Theory
• Control with Limited Information
• +۴ مورد دیگر

Daniel M. Liberzon is the Richard T. Cheng Professor in the Department of Electrical and Computer Engineering and a Professor at the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign . He is also an affiliate professor in the Department of Mathematics . His career spans theoretical and applied research in control systems, with a focus on hybrid control, nonlinear systems, and communication constraints. Education : Ph.D. in Mathematics (Brandeis University, 1998), advised by Roger W. Brockett (Harvard). Undergraduate studies in Mathematics at Moscow State University (1989-1993). Research Interests include: Switched and Hybrid Systems with stability criteria and control design. Nonlinear Control Theory covering Lyapunov functions, ISS, and synchronization. Control with Limited Information focusing on quantized control and entropy-based methods. Uncertain/Stochastic Systems with applications in power grid synchronization and networked control. Article Trends show a focus on stability analysis, entropy metrics, and hybrid control algorithms across nonlinear and switched systems. Key themes include robust observer design, synchronization under disturbances, and quantized feedback. Scientific Awards : ACM SIGBED HSCC Best Paper (2019) IFAC Fellow (2016) IEEE Fellow (2013) AACC Donald P. Eckman Award (2007) NSF CAREER Award (2002) Advising and Grants : Collaborates with students and researchers like Sayan Mitra, Hyungbo Shim, and others. Leads NSF projects on Nonlinear Systems with Fast/Slow Dynamics and AFOSR MURI on Hybrid Dynamics . Labs and Teams : Directs the Decision and Control group at the Coordinated Science Lab, contributing to interdisciplinary projects in control theory and power systems.

• Mathematical Biology
• Applied Mathematics
• Cancer Research
• +۵ مورد دیگر

Dr. Marianna Cerasuolo is a Reader in Numerical Analysis and Scientific Computation at the University of Sussex's School of Mathematical and Physical Sciences. Her research focuses on mathematical and computational modeling for medical, biological, and environmental applications, including cancer dynamics, soil microbiome analysis, and sustainable agriculture. She has held positions at the University of Portsmouth and Rothamsted Research, and leads projects like the Horizon Europe-funded BIOservicES and the H2020 Diverfarming initiative. Her work integrates statistical, mathematical, and computational methods to address problems in oncology, ecology, and public health. Education: Advanced degrees in applied mathematics and mathematical biology (not explicitly listed). Research Interests: Cancer modeling, epidemiology, plant-environment interactions, bio-statistics, and computational biology. Her grants include the £6M BIOservicES (2023-2028) and a London Mathematical Society grant on microbial dynamics. She teaches courses like Machine Learning and Statistics for Health and Monte Carlo Simulations. Key contributions include developing the SusDiver app for agricultural sustainability and models predicting prostate cancer therapy efficacy.

Davide Previtaliمشاهده پروفایل

استادیار

• Control Systems
• Black-Box Optimization
• Preference-Based Optimization
• +۴ مورد دیگر

Davide Previtali is an Assistant Professor at the University of Bergamo's Department of Engineering. His research focuses on control systems, black-box and preference-based optimization, and lithium-ion battery technologies. He teaches the 'Data science and automation' course (6 CFU). Education: Master’s in Computer Science Engineering (2019), PhD in Engineering and Applied Sciences (2022), both from University of Bergamo Research interests include model predictive control, thermal systems optimization, regenerative braking systems, and integration of biological models with neural networks. Recent work emphasizes energy-efficient industrial processes and algorithms for preference-based optimization with convergence guarantees. Publications span industrial oven modeling, shrink tunnel control systems, and advanced optimization algorithms. He leads the Control systems and Automation Laboratory, focusing on practical applications of control theory in manufacturing and energy systems. Labs/Teams: Control systems and Automation Laboratory

Mengjie Yuمشاهده پروفایل

استادیار

• Nonlinear Photonics
• Quantum Optics
• Optical Computing
• +۴ مورد دیگر

Mengjie Yu is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She previously held positions as a Gabilan Assistant Professor at the University of Southern California, a postdoctoral fellow at Harvard University, and a research staff associate at Columbia University. Ph.D., Electrical and Computer Engineering, Cornell University (2018) B.A., Optical Engineering, Zhejiang University (2012) Her research focuses on nonlinear and ultrafast optics , microwave-to-optical transduction , optical computing , and quantum optics/sensing . She pioneers integrated photonic technologies on thin-film lithium niobate for applications in quantum communication, ultrafast pulse generation, and low-energy computing. Recent publications highlight advancements in photonic memory , integrated tensor optical processors , and ultra-broadband frequency combs . Her group develops on-chip time-lens systems for femtosecond pulse generation and optomechanical sensors with high sensitivity. DARPA Young Investigator Award (2023) Powell Faculty Research Award (2022) Maiman and Emil Wolf Awards (2016) Optica Ambassador (2020) Caltech Young Investigator Lecturer (2019) Rising Star Women in Engineering (2019) She leads the Yu Group at UC Berkeley, advising PhD students in quantum photonics, nonlinear optics, and optical computing, supported by postdoctoral scholars and collaborative projects. Her work is funded by DARPA and the Chan Zuckerberg Initiative .

George Papadakisمشاهده پروفایل

استاد

• Aerodynamics
• Fluid Dynamics
• Turbulence
• +۵ مورد دیگر

Professor George Papadakis is a Professor of Aerodynamics at the Department of Aeronautics, Faculty of Engineering at Imperial College London. His research focuses on fundamental analysis and manipulation of transitional or turbulent flows, with applications in aerodynamics, flow control, and mixing enhancement. He leads the Papadakis Lab, which develops computational methods and optimization algorithms for fluid dynamics problems. Education: PhD in Mechanical Engineering (National Technical University of Athens, 1996), BEng in Mechanical Engineering (National Technical University of Athens, 1990). Professional history includes roles as Lecturer at King's College London (1999–2011) and Reader at Imperial College (2011–present). Research interests include turbulence enhancement/suppression, sensitivity analysis of chaotic systems, and DNS/LES simulations. His group is funded by EPSRC, European Union, Leverhulme Trust, and the President's Scholarship Fund. Key affiliations include the Energy Futures Lab and Flow Control networks. Advising and grants: Supervised numerous PhD students (e.g., Dandan Xiao, Felipe Alves Portela) and secured funding from multiple agencies. Current students include Hanxun Yao, Karim Shawki, and others. Research outputs span flow control, vortex dynamics, and industrial mixing applications. Labs/teams: Papadakis Lab focuses on aerodynamics, turbulence, and computational methods. Collaborations include Temasek Labs (Singapore) and Prof. J.C. Vassilicos (Imperial College).

Barbara Wohlmuthمشاهده پروفایل

استاد

• Numerical Simulation
• Partial Differential Equations
• Discretization Techniques
• +۴ مورد دیگر

Prof. Barbara Wohlmuth is a full professor in Numerical Mathematics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. She leads the International Graduate School of Science and Engineering at TUM and has held professorships at Stuttgart, Darmstadt, and Berlin universities. Her research focuses on numerical simulation of partial differential equations, multiscale solvers, and coupled multi-field problems with applications in engineering. Education: Studied mathematics at TUM and Université Joseph Fourier in Grenoble, received her doctorate from TUM in 1995, and completed habilitation in Augsburg. Visiting professorships in USA, France, and Hong Kong. Research interests include discretization techniques, predictive modeling, and interdisciplinary collaboration with engineering disciplines. Notable achievements: 2012 Gottfried Wilhelm Leibniz Prize (Germany’s highest academic honor in sciences), 2005 Sacchi-Landriani Prize. Publications emphasize advanced numerical methods in fluid dynamics, geophysics, and biomedical engineering. Active in editorial roles for international journals and scientific committees across Europe and USA. Elected member of Bavarian and European Academies of Sciences. Key contributions include: Development of robust numerical algorithms for exascale simulations Pioneering work in coupled multi-physics modeling Innovative methods for computational contact mechanics Leadership in graduate education initiatives

• Geotechnics
• Numerical Simulations
• Bayesian Inference
• +۴ مورد دیگر

Stéphane Commend is an Associate HES Professor at the Fribourg School of Engineering and Architecture (HEIA-FR) under HES-SO Valais-Wallis. He also holds a lecturer role at the School of Engineering and Management of the Canton of Vaud. His primary research focuses on geotechnics, numerical simulations, and probabilistic modeling applied to infrastructure projects like tunneling and deep excavations. Education and affiliations include roles across multiple HES-SO institutions, with a strong emphasis on integrating advanced computational methods into geotechnical engineering. Notable projects include the Grand Paris Express tunnel project, Bayesian inference for wood constitutive modeling, and probabilistic risk analysis for urban construction. Research interests span soil-structure interaction, finite element modeling, and uncertainty quantification. Recent work emphasizes Bayesian methods for parameter calibration, machine learning in excavation design, and natural hazard vulnerability assessment. Key contributions include frameworks linking ZSOIL and UQLab for reliability analysis, and prototypes like SLIDE-PM for mudflow impact modeling. Current projects (e.g., iBAG and OptiSoil) focus on optimizing construction methods using AI and data-driven approaches. He leads collaborative teams across HES-SO institutes and academic partners like EPFL and CETU. Key Projects: iBAG Project (2022–2025): Bayesian methods in geotechnics OptiSoil (2019–2025): Machine learning for excavation design TULIP Project: TBM-pile interaction probabilistic analysis

Hande Bensonمشاهده پروفایل

استاد

• Optimization
• Nonlinear Optimization
• Interior-Point Methods
• +۱۲ مورد دیگر

Hande Benson is a Professor in the Department of Decision Sciences and MIS at LeBow College of Business, Drexel University. She serves as the academic director of the Business and Engineering program and teaches in undergraduate and graduate programs in Business Analytics and Operations and Supply Chain Management. Research Interests: Dr. Benson specializes in optimization, particularly addressing modeling and computational challenges in large-scale nonlinear and mixed-integer optimization. Her work includes interior-point methods, regularization techniques, and the development of optimization software such as LOQO and MILANO. Recent Research Trends: Her recent publications span decision aggregation, multi-vehicle motion planning under communication constraints, and advanced interior-point algorithms. These works reflect a strong focus on algorithmic innovation, real-world applications in robotics and supply chains, and theoretical advancements in nonconvex optimization. Scientific Awards: Outstanding STAR Mentor, Drexel University (2017-2018) Distinguished Fellow, Center for Research Excellence, LeBow College of Business (2009-2012) Excellence in Research Award, LeBow College of Business (2005) Advising and Grants: While direct student advising is not explicitly listed, Dr. Benson has led significant research projects, including Multivehicle Path Coordination under Communication Constraints (Drexel Interdisciplinary Research Grant, $15,000) and Efficient Interior-Point Methods for Mixed-Integer Nonlinear and Conic Programming (NSF, $59,960). She has also contributed to executive education and consulting in financial, industrial, and governmental sectors. Editorial and Professional Service: Dr. Benson is actively involved in the academic community as Associate Editor for several leading journals, including Computational Optimization and Applications , Journal of Optimization Theory and Applications , Mathematical Programming Computation , and Optimization and Engineering .

James R. Greenمشاهده پروفایل

استاد

• Machine Learning
• Biomedical Informatics
• Computational Biology
• +۹ مورد دیگر

James R. Green is a Professor in the Department of Systems and Computer Engineering at Carleton University , where he has been a faculty member since 2005. He holds a PhD from Queen's University and is a licensed Professional Engineer (P.Eng.) and Senior Member of IEEE. His work integrates machine learning, biomedical informatics, and high-performance computing. His educational background includes: B.A.Sc. in Systems Design Engineering, University of Waterloo (1998) M.Sc.(Eng.), Queen's University (2000) PhD, Queen's University (2005) Dr. Green's research focuses on machine learning challenges in biomedical informatics , particularly class imbalance and rare event prediction. Key areas include protein structure, function, and interaction prediction; microRNA detection in unique species; non-contact neonatal monitoring; and accelerating scientific computing via parallel architectures like the Cell BE processor. His lab has developed several widely used bioinformatics tools such as PIPE, ProtDCal, and PCI-SUMO. His recent publications reflect a strong trend in computational biology and machine learning , with applications in proteomics, genomics, and medical diagnostics. He has published over 100 peer-reviewed papers and secured funding from NSERC, CIHR, CFI, ORF, OCE, MITACS, and IBM. Scientific and teaching recognitions include: Three teaching awards NSERC Best Project Award (twice: 2006-2007 and 2007-2008) Multiple student projects resulting in conference papers (e.g., CMBEC) He has supervised numerous undergraduate capstone projects in areas such as assistive technologies, robotic systems, and bioinformatics. His teaching portfolio includes courses in Pattern Classification, Machine Learning, Computer Architecture, and Biomedical Engineering. He leads an active research group that bridges computer engineering and life sciences, fostering interdisciplinary collaboration. Lab and research team initiatives include: Development of open-access web servers for protein analysis Collaborations with biologists and clinicians Integration of hardware and software for medical applications

Paul Wangمشاهده پروفایل

مدرس ارشد

• Operations Management
• Supply Chain Management
• Inventory Control
• +۷ مورد دیگر

Dr. Paul Wang is a Senior Lecturer of Operations Management and Management Science at Cardiff Business School, Cardiff University . He teaches graduate-level courses including BST514 - Operations Analysis (MBA) and BST124 - Logistics Modelling (MSc), focusing on quantitative decision-making in supply chains. His educational background includes a PhD in Dynamics of Nonlinear Supply Chain Systems from Beihang University, China (2013), an MAdmin and BAdmin in Business Administration. Prior to joining Cardiff, he served as a Lecturer in Logistics Management at Beijing Jiaotong University. Dr. Wang’s research centers on operations and supply chain dynamics , with a strong emphasis on inventory control, the bullwhip effect , stochastic lead times, and demand forecasting. His work integrates system dynamics and mathematical modeling to analyze complex behaviors in production and inventory systems. He has extensively studied food waste in online grocery supply chains and developed models to improve resilience and efficiency. His recent publications reveal a consistent focus on inventory variability , forecasting accuracy , and supply chain resilience , published in top journals such as European Journal of Operational Research , International Journal of Production Economics , and Omega . His research often involves collaboration with scholars like Stephen Disney, Fotios Petropoulos, and Valentina Sanchez Rodrigues. Chinese National Scholarship for Postgraduate Students (2012) Young Scientist Award, 21st International Conference on Production Research (2011) Dr. Wang has advised on industry projects such as the Ocado salads waste project , demonstrating applied impact. He has not listed any PhD students, but his work has contributed significantly to both academic theory and practical supply chain solutions.

Solomon G. Diamondمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Functional Neuroimaging
• Magnetic Nanoparticle Imaging
• +۳ مورد دیگر

Solomon G. Diamond is an Associate Professor of Engineering at Dartmouth College's Thayer School of Engineering, serving as Co-Director of the Design Initiative at Dartmouth. He holds degrees from Dartmouth (AB 1997, BE 1998) and Harvard (SM 2001, PhD 2004). His research focuses on biomedical imaging, functional neuroimaging, and magnetic nanoparticle imaging, with emphasis on diagnostic technologies and medical device development. He has received awards including the 2023 Outstanding Service Award and the 2002 Derek Bok Teaching Award. Research projects include neurovascular coupling studies, clinical optical-electric probes, and magnetic nanoparticle imaging. He co-founded Lodestone Biomedical, a medtech company advancing nanoparticle-based biosensors. His work bridges engineering and medicine, with notable contributions to magnetic nanoparticle characterization and imaging array systems. He teaches courses like ENGS 90 (Engineering Design Methodology) and ENGS 29 (Computer-Aided Design & Kinematics). Recent work includes a 2024 study on salt concentration effects in magnetic nanoparticle biosensors with PhD candidate Gabby Moss. He holds patents for technologies like magnetic susceptibility tomography and in-bed exercise machines. His interdisciplinary collaborations span biomedical engineering, materials science, and clinical diagnostics.

• Microsystems Technology
• MEMS (Micro-Electro-Mechanical Systems)
• Terahertz Technology
• +۳ مورد دیگر

Prof. Dr.-Ing. Martin Hoffmann is a Professor of Microsystems Technology at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. His academic career began at the University of Dortmund, where he earned his doctorate in high-frequency technology and later habilitated in microsystems technology (2003). He held roles as a private lecturer and industry researcher before becoming a university professor at TU Ilmenau (2006). He joined Ruhr University in 2017, specializing in cutting-edge microsystems research. His research focuses on MEMS, THz technology, microactuators, and nanoimprint lithography. Key projects include cooperative microactuator systems, THz biosensors, and energy-autonomous sensors. He collaborates with institutions like TU Ilmenau, Purdue University, and Nagoya University through international programs like Double Degree and Erasmus. His work spans academic advising, grants, and industry partnerships (e.g., HL Planartechnik GmbH, Silicon Manufacturing Itzehoe GmbH). Notable contributions include silicon grass nanostructuring, palladium-based gas sensors, and wafer-scale MoS₂ deposition. His lab develops micromechanical systems for biomedical, environmental, and defense applications.