جست‌وجوی استاد و پژوهشگر

• Automatic Control
• Model Predictive Control
• Large-Scale Systems
• +۷ مورد دیگر

Pau Segovia Castillo is a Beatriz Galindo Fellow in the Department of Automatic Control at Universitat Politècnica de Catalunya (UPC), where he conducts research in large-scale systems control. He is affiliated with the Advanced Control Systems (SAC) research group at the Research Center for Supervision, Safety and Automatic Control (CS2AC). Previously, he held postdoctoral positions at IMT Lille Douai (2019–2020), Delft University of Technology (2020–2023), and UPC (2023). BS/MS in Industrial Engineering, Universitat Politècnica de Catalunya (UPC), 2015 Joint PhD in Automatic Control, Robotics and Vision, UPC and IMT Lille Douai, France, 2019 His research focuses on non-centralized predictive control approaches for managing large-scale systems, with applications in water resources systems, intelligent transportation systems, and energy systems. He applies model predictive control, digital twin technologies, and switching control strategies to real-world infrastructure such as canals, irrigation networks, and inland waterways. His work emphasizes real-time optimization, robustness, and scalability in complex environments. The recent publications highlight a strong trend in model predictive control applied to waterway and transportation systems. Key themes include coordination of vessels and bridges, digital twin implementation, multilayer control architectures, and observer design for nonlinear systems. The research spans both theoretical advances in control theory and practical implementations using real databases and simulations. Scientific recognition includes: Beatriz Galindo Fellow He advises PhD students, including Javier Pedrosa Alias, and has been involved in collaborative research projects across institutions in Spain, France, and the Netherlands. His work is supported by his fellowship and integrated within the SAC research group, contributing to national and international efforts in smart infrastructure and automation. The research group CS2AC provides a multidisciplinary environment for supervision, safety, and automatic control applications. He is a member of the Advanced Control Systems (SAC) research group at CS2AC, which focuses on developing advanced control methodologies for safety-critical and large-scale systems. The team works on real-time monitoring, fault detection, and optimization of industrial and environmental processes.

Maike Basmerمشاهده پروفایل

پژوهشگر

• Data Structures for Process Data Analysis
• Event Abstraction
• Database Systems
• +۲ مورد دیگر

Maike Basmer is a Ph.D. researcher and research assistant at the Database and Information Systems group within the Department of Computer Science at Humboldt University of Berlin. She works under the supervision of Prof. Dr. Matthias Weidlich on topics related to data structures for process data analysis and event abstraction. Her teaching activities include conducting exercises for foundational database systems and discrete structures courses at both Bachelor and Master levels. Her research focuses on optimizing data structures for process analysis and event abstraction mechanisms. She has been involved in collaborative teaching projects since 2023, working with colleagues like Steven Purtzel and Fabian Brandt-Tumescheit. Maike maintains an active presence in academic repositories, contributing to tools related to privacy-aware scheduling and software product line simulations.

• Scheduling
• Supply Chain Management
• Particle Swarm Optimization
• +۴ مورد دیگر

Sylverin KEMMOE TCHOMTE is a Lecturer at the IAE Clermont Auvergne - School of Management, part of Clermont Auvergne University (UCA). His research focuses on scheduling optimization, supply chain management, and energy-aware planning methodologies. Key areas include integrating financial constraints into scheduling systems, particle swarm optimization techniques, and discrete event simulation models. He holds a position within the Strategy, Territory and Actor Networks (STeRA) research axis. No academic publications or scientific awards are explicitly listed in the provided materials, though his work aligns with operational research and industrial engineering disciplines. Contactable via Sylverin.KEMMOE_TCHOMTE@uca.fr, his professional activities emphasize applied research at the intersection of optimization algorithms and real-world logistical challenges.

Jocelyne Ventre-Domineyمشاهده پروفایل

پژوهشگر

• Neuroscience
• Cognitive Science
• Neurolinguistics
• +۳ مورد دیگر

Jocelyne Ventre-Dominey is a Senior Researcher at INSERM, affiliated with the University of Burgundy's Faculty of Sports Sciences (UFR Staps). Her primary research focuses on embodied cognition, neurocognitive mechanisms of language and perception, and motor control systems. She is part of the INSERM U1093 Laboratory, collaborating extensively with Prof. Philippe F. Dominey and other international researchers. Her work bridges robotics and neuroscience, investigating how visuo-tactile feedback impacts telepresence embodiment, and explores neural systems underlying sentence-picture comprehension across languages. She has contributed to understanding the role of dopamine vs. STN stimulation in Parkinson's disease and the structural-functional connectivity of semantic systems. Recent studies also address human-robot interaction acceptability and parallel neural processes in motor sequence execution. Publications span journals like Scientific Reports, NeuroImage, and Frontiers in Human Neuroscience, reflecting her multidisciplinary approach. Her research integrates EEG/ERP, neuroimaging, and behavioral experiments to dissect cognitive and neural processes in embodied systems and language. Based in Dijon, France, she maintains ties with the University of Burgundy's sports sciences faculty while engaging in international collaborations. No specific grants or awards are listed, though her active publication record indicates sustained research engagement.

João Paulo Pais de Almeidaمشاهده پروفایل

استادیار

• Dynamical Systems
• Game Theory
• Economics
• +۳ مورد دیگر

João Paulo Pais de Almeida is an Assistant Professor at the Department of Mathematics, School of Technology and Management, Polytechnic Institute of Bragança, and a researcher at CeDRI. He also collaborates with LIAAD-INESC TEC, focusing on interdisciplinary applications of mathematical theories. PhD in Applied Mathematics (University of Porto) MSc in Mathematics (University of Porto) BSc in Mathematics (University of Coimbra) His research primarily centers on Dynamical Systems and Game Theory , with specific emphasis on renormalization in low-dimensional dynamics , Anosov and pseudo-Anosov diffeomorphisms , and spatial competition of firms . He is also exploring intersections between these fields and industrial problems , deep learning , and data science . João Paulo Pais de Almeida has contributed to 20 publications, with recent work spanning Environmental Science , Industrial Engineering , and Operations Research . His 2024 publications address infrasound noise risks and ergonomic safety in radiotherapy , while older works include thermal environment analysis and manufacturing optimization using mathematical models. Labs/Teams: CeDRI (Researcher) LIAAD-INESC TEC (Collaborator)

İsmail Başoğluمشاهده پروفایل

مدرس

• Discrete event system simulation
• Monte Carlo simulation
• Stochastic processes
• +۳ مورد دیگر

Dr. İsmail Başoğlu is a Lecturer in the Department of Industrial Engineering at Özyeğin University's Faculty of Engineering. He holds a BSc from Yıldız Technical University (2006), MSc and PhD from Boğaziçi University (2008/2014). Post-PhD, he conducted postdoctoral research at Xi'an Jiaotong-Liverpool University on Quasi-Monte Carlo methods in finance. He has taught full-time/part-time at multiple universities since 2014, offering courses like probability models, stochastic processes, and supply chain management. Research Focus: Specializes in discrete event simulation, variance reduction techniques, and financial stochastic modeling. His work bridges Monte Carlo methods with real-world applications in supply chain optimization and risk management. Professional Experience: Maintains dual affiliations through part-time/full-time roles. No specific grants or labs mentioned, but actively contributes to curriculum development in engineering economics and operations management.

Anna Dontenمشاهده پروفایل

پژوهشگر

• Health Economics
• Mathematical Optimization
• Algorithmics
• +۵ مورد دیگر

Anna Donten, PhD, is a Researcher at the University of Manchester since 2014, specializing in decision analytic modelling for healthcare economic evaluations. She designs and implements mathematical models to optimize screening programmes and assess cost-effectiveness of health interventions, particularly in breast cancer and stratified medicine. Her work integrates algorithmic approaches with economic frameworks to improve resource allocation in healthcare systems. Education: PhD in Medicine: "The Economic Impact of Precision Medicine in Rheumatology: Targeting the Use of Methotrexate in Early Rheumatoid Arthritis" (University of Manchester, 2022) MSc in Computer Sciences and Econometrics (University of Warsaw, 2014) Research Focus: Developing decision-analytic models for risk-stratified screening programmes Economic evaluation of Next-Generation Sequencing in congenital cataracts diagnosis Algorithmic optimization for cost-effective healthcare interventions Validation frameworks for predictive models in breast cancer screening Key Projects: STOpFrac: Discrete Event Simulation for vertebral fracture screening ASSURE: Personalised breast cancer screening strategy using risk estimation TARDIS Method: Dynamic programming for optimal screening allocation Collaborations: NIHR-funded breast cancer screening cost-effectiveness analysis Multi-disciplinary team with Dr. Ewan Gray and Prof. Katherine Payne Global health economics initiatives addressing UN SDG 3 (Good Health) Technical Expertise: R programming for model development Health economic evaluation methodologies Systematic review and meta-analysis techniques Discrete event simulation frameworks

• Construction Simulation
• Discrete-Event Simulation
• 3D Visualization in Construction
• +۴ مورد دیگر

Dr. Julio Martinez is a Professor of Civil Engineering at Purdue University's College of Engineering. His research focuses on advanced simulation techniques, 3D visualization for construction processes, and optimization of earthwork operations. He has pioneered methodologies for integrating discrete-event simulation with virtual reality and augmented reality technologies to enhance construction planning and risk management. His work emphasizes sustainable construction practices, dynamic resource allocation, and real-time user interaction in simulation systems. Notable contributions include developing the STROBOSCOPE simulation framework and the VITASCOPE visualization toolkit. He has authored over 50 papers on topics ranging from stochastic modeling to scalable scene rendering algorithms. Dr. Martinez’s research bridges engineering and computer science, applying cutting-edge visualization techniques to traditional construction challenges. His recent work explores the integration of wireless communication simulations in earthmoving operations and the validation of complex construction models through immersive visualizations. His publications consistently address practical construction scenarios, with a focus on improving operational efficiency and safety through advanced modeling and simulation approaches. Current research trends include enhancing simulation scalability, improving 3D animation realism, and applying simulation for sustainable infrastructure development.

Lorenzo Rossiمشاهده پروفایل

استادیار

• Process Mining
• Robotics
• Business Process Management (BPM)
• +۵ مورد دیگر

Lorenzo Rossi is an Assistant Professor specializing in the intersection of process mining, robotics, and business process management (BPM). His research focuses on advancing methodologies for analyzing robotic systems, IoT environments, and collaborative processes through formal models like BPMN. Key areas include process discovery, digital twins, and system resilience in smart environments. Expertise: Process Mining, Multi-Robot Systems, BPMN Semantics, Cyber-Physical Systems Key Tools: BEAR (BPMN animator), MIDA (multi-instance animator), UBBA (Unity-based BPMN animator) His work emphasizes reproducibility and practical frameworks for rapid prototyping. Recent trends in his articles highlight the integration of process mining with robotics for data-driven decision-making, as well as formal verification of BPMN collaborations to ensure system correctness. Awards: None explicitly mentioned in the provided texts. Advising & Grants: No student/advisor relationships or grant details documented here. Labs/Teams: Collaboration with Unity-based simulation tools (UBBA, MIDA) and serious game platforms (PlayWithUnicam).

Sergio Moverمشاهده پروفایل

استاد

• Formal Methods
• Model Checking
• Satisfiability Modulo Theories (SMT)
• +۳ مورد دیگر

Sergio Mover is a Professor at the Department of Computer Science , Polytechnic Institute of Paris , affiliated with the Cosynus team and the LIX - Computer Science Laboratory . His research focuses on formal methods , particularly model checking using SMT for hybrid systems, embedded software, and program analysis. He has contributed to tools like HyCOMP , nuXmv , and SABBATH . Research interests include: Formal verification of infinite-state systems Symbolic model checking Hybrid system stability Callback protocol analysis Relational abstraction techniques In 2024, he published a book on abstraction techniques for symbolic model checking. His work has been featured at top conferences like CAV , FMCAD , and ICLR . Awards include the IEEE TCSE Distinguished Paper Award (2018) and Best Paper at FMCAD 2012 . He collaborates with researchers such as Alessandro Cimatti , Stefano Tonetta , and Bor-Yuh Evan Chang , focusing on hybrid systems, Android callback protocols, and SMT-based verification.

Christian Fikarمشاهده پروفایل

استاد

• Food Supply Chain Management
• Operations Research
• Operations Management
• +۶ مورد دیگر

Christian Fikar is a Professor of Food Supply Chain Management at the Faculty of Life Sciences: Food, Nutrition and Health at the University of Bayreuth, based at the Kulmbach campus. His research focuses on business management issues in food value chains, particularly time-critical logistics processes and computer-based decision support systems. Professor Fikar studied Supply Chain Management at the Vienna University of Economics and Business, completed his doctorate and habilitation at the University of Natural Resources and Life Sciences in Vienna, and has held academic positions at both institutions before joining the University of Bayreuth. He has extensive international experience from research periods in the USA, Taiwan, Spain, and Finland. His methodological expertise spans Operations Research, Operations Management, and Business Analytics , with applications focused on increasing the resilience, sustainability, and efficiency of food value chains. Professor Fikar's research particularly examines logistics decisions in the food mail order industry and short food supply chains (regional supply networks) in Upper Franconia. His work enables more efficient processes that can contribute to reducing food waste while maintaining high-quality food delivery systems. Key research areas include perishable food distribution, digital logistics platforms, and crowd logistics for local food systems. Analysis of his recent publications reveals a strong focus on computational approaches to food supply chain challenges, integrating simulation and optimization techniques to address problems in perishable food distribution, crowd logistics, and regional food systems. His work shows increasing attention to digital transformation in food supply chains, quality preservation in logistics, and sustainable delivery models. Professor Fikar has advised doctoral students including Florian Cramer, whose 2025 dissertation focused on retail access models. His research has been supported by various projects examining sustainable food distribution systems, e-grocery operations, and resilience in short food supply chains. He actively contributes to the sustainable development of regional food networks in Upper Franconia through both research and teaching initiatives at the University of Bayreuth.

• space-metric associations
• SNARC effect
• language comprehension
• +۶ مورد دیگر

Elena Albu is a postdoctoral researcher at the University of Tübingen, working within the Faculty of Science, Department of Psychology. She is affiliated with the Diagnostics and Cognitive Neuropsychology Research Group and contributes to the DFG Research Unit FOR 2718: Modal and Amodal Cognition: Functions and Interactions, focusing on the interplay between modal and amodal encodings underlying space-metric associations. Her research centers on the nature of SNARC (Spatial-Numerical Association of Response Codes) and SNARC-like effects, investigating whether these phenomena stem from continuous magnitude processing or require discrete serial ordering. With a strong background in linguistics, she equally explores language comprehension and negation processing through rigorous behavioral studies. Her work bridges cognitive psychology and linguistic theory to understand fundamental cognitive mechanisms. Analysis of her publication trajectory reveals a clear evolution from early work analyzing negation in political discourse and social media (particularly during the 2014 European Elections) to more recent investigations of the cognitive architecture supporting negation processing. Her research consistently integrates experimental techniques with corpus analysis, providing both controlled laboratory findings and real-world usage patterns across cognitive psychology, linguistics, and political communication. Her notable recognition includes: Humboldt Research Fellowship for postdoctoral researchers Dr. Albu actively supervises student research projects investigating fundamental questions about negation processing, including whether negative sentences can express events and what mental representations people form when reading negative information. Her current work within the DFG Research Unit examines how different cognitive systems interact in processing spatial and numerical information. As a member of the Diagnostics and Cognitive Neuropsychology Research Group, she collaborates with colleagues including Maristella Lunardon, Katharina Sautter, Mine Avcil, Christina Artemenko, and others on projects related to cognitive processing, neuropsychological assessment, and the cognitive underpinnings of language comprehension.

Ismet Canbulatمشاهده پروفایل

استاد

• Rock Mechanics
• Mine Design
• Ground Control
• +۳ مورد دیگر

Professor Ismet Canbulat is the Head of the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW Sydney) and holds the Kenneth Finlay Chair of Rock Mechanics. With over 30 years of experience spanning academia, industry, and consultancy, he leads strategic initiatives enhancing global partnerships and achieving a top-two QS ranking for UNSW's mining engineering program. His prior roles include Group Geotechnical Engineer at Anglo American and Principal Engineer at CSIR South Africa. His research focuses on rock mechanics , mine design , and geotechnical risk assessment , with emphasis on dynamic failures, coal burst mechanisms, and computational modeling. Recent work integrates AI for wildfire prediction, machine learning for stress estimation, and sustainable supply chain frameworks. His publications demonstrate a strong trend toward energy-based failure analysis, fracture network modeling, and environmental impact mitigation in mining. Awards & Honors: Syd S. Peng Ground Control Award (SME, USA) Southern African Institute of Mining and Metallurgy Gold Medal BBUGS Geotechnical Practitioner of the Year He leads large-scale research projects with significant industry funding, supervises ~12 PhD students, and directs laboratories focused on rock mechanics testing and geotechnical analytics. As a Fellow of Engineers Australia and the Australasian Institute of Mining and Metallurgy, he advises mining companies and governments on geotechnical challenges and policy development.

Pallav Kumar Shresthaمشاهده پروفایل

پژوهشگر

• Hydrological modeling
• Flood forecasting systems
• Reservoir management
• +۴ مورد دیگر

Pallav Kumar Shrestha is a postdoctoral researcher at the Helmholtz Centre for Environmental Research (UFZ) since 2017, focusing on Computational Hydrosystems in Leipzig, Germany. His work centers on resolving challenges in global hydrological modeling, particularly for small catchments and reservoir systems. Developed subgrid catchment conservation method for gridded hydrological models Created new reservoir module for mHM Contributor to Nature Communications flood early warning system paper Research Themes : Flood forecasting at global/regional scales Reservoir modeling in regulated basins Climate change impacts on water resources Computational hydrosystems development Environmental informatics for global hydrology Key Projects : ULYSSES (Copernicus), SaWaM (BMBF), 4DHydro (ESA), and state of global water resources (WMO). His 2025 ASCE-EWRI award paper on Great Lakes runoff intercomparison highlights his collaborative impact. Modeling Expertise : Active member of the mHM development team , contributing to debugging, user support, and training across Europe and Asia. His technical skills bridge Fortran programming for skill assessment tools and ecFlow automation systems.

• Constitutional Law
• Case Law
• Economic Crisis Jurisprudence
• +۳ مورد دیگر

Teresa Violante is a faculty member at NOVA School of Law, affiliated with the Centro de Investigação e Desenvolvimento sobre Direito e Sociedade (CEDIS). Her work focuses on constitutional law, case law, and the societal impact of economic crises. Chair of the Research Project: Reform of the Economic and Social Council Statute (2024) Organizer of academic events like Public Law facing the pandemic: the Portuguese context (2022) Her research explores constitutional performance during austerity, proportionality principles, and judicial responses to economic crises. She has presented at workshops such as Direito & Cinema (2021) and contributed to publications analyzing Portuguese constitutional jurisprudence. Co-authored 2022 book chapter on economic crises in judicial discourse 2019 monograph on courts and financial crises 2018 co-authored study on proportionality in constitutional law Teresa Violante has participated in media discussions about judicial leniency during the Troika era and the sustainability of constitutional rulings from the crisis period.