جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Fault Detection and Diagnosis
• Metamodeling
• +۸ مورد دیگر

Nicola Pedroni is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, Italy. His research focuses on advanced computational methods for nuclear safety, uncertainty quantification, and artificial intelligence applications in risk assessment. He has held external academic roles at institutions including MIT, École Centrale Paris, and CEA Saclay. Research Interests: Artificial Intelligence, Monte Carlo Methods, Nuclear Safety, Uncertainty Quantification, Probabilistic Risk Assessment, Resilience Analysis His recent work spans inverse uncertainty quantification, fault detection in safety-critical systems, and metamodeling techniques for nuclear reactor analysis. He serves on editorial boards for Frontiers in Nuclear Engineering , Energies , and Proceedings of the Institution of Mechanical Engineers, Part O . Pedroni leads the ARISTOTELES project on AI and stochastic simulation for critical infrastructure resilience and contributes to the EU-funded ENDURANCE project for molten salt reactor safety. He supervises PhD student George Afful and teaches courses in nuclear plant modeling and risk analysis.

• Gravitational Wave Astronomy
• Laser Interferometry
• Space Interferometry
• +۳ مورد دیگر

Jonathan Carter is a Junior Scientist/Postdoc at the Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut) in Hannover, Germany. His research focuses on gravitational wave astronomy, laser interferometry, and space interferometry. He contributes to advanced detector technologies, including optomechanical resonators and inertial sensors, with a particular emphasis on improving precision measurements for gravitational wave detection. His work bridges fundamental physics with experimental engineering, addressing challenges in multi-messenger astronomy and dark matter searches. Key research areas include: Laser interferometry for gravitational wave detection Development of high-Q resonators for precision sensing Analysis of gravitational wave data from LIGO, Virgo, and KAGRA observatories Exploration of ultralight dark matter via gravitational wave signatures Optimization of interferometric systems for space-based applications His recent publications highlight advancements in sensor technology, gravitational wave follow-up studies, and collaborative efforts across global detector networks. While no awards are explicitly listed, his contributions to the LIGO-Virgo-KAGRA collaborations reflect significant impact in the field.

• Systems Engineering
• Sustainable Manufacturing
• Cyber-Physical Systems
• +۵ مورد دیگر

Dr. Ali Asghar Bataleblu is a Senior Research Fellow at the Sustainable Manufacturing Laboratory within the Faculty of Engineering at the Free University of Bozen-Bolzano . His work focuses on transdisciplinary systems engineering for resilience, sustainability, and circular economy , with over a decade of experience in uncertainty-based Multidisciplinary Design Optimization (MDO) . He was previously the director of an MDO research center for nearly ten years. Academic Rank: Research Fellow Key Research Areas: Systems Engineering, Cyber-Physical Systems, Resilience Engineering, Sustainable Manufacturing Dr. Bataleblu’s research bridges model-based systems engineering (MBSE) , digital twins , and surrogate-assisted optimization to address sustainability challenges in manufacturing and mobility. He employs multi-agent systems and system-of-systems frameworks to analyze complex interactions in industrial and environmental contexts. His work includes requirements management and axiomatic design for holistic system decomposition. The 15 most recent articles highlight his focus on resilient cyber-physical production systems , sustainable mobility , AI-integrated MBSE , and multi-agent optimization for wildfire management. These works span disciplines like industrial engineering , computational intelligence , and urban planning , with subfields covering digital twins , dynamic system modeling , and automated routing . Scientific Awards: TOWARDS South Tyrol International Postdoctoral Fellowship (2023) Young Scientist Award at ICQIS-2024 (2024) He leads the Sustainable Factory Design Decomposition (SFDD) project funded by the Autonomous Province of Bolzano , collaborating with Purdue University Fort Wayne . His research integrates graph database visualization for supply chain resilience and life cycle assessment (LCA) automation in fast-moving consumer goods. He also explores reinforcement learning for aerial vehicle design and robust control systems for drones.

Natalia Alguacilمشاهده پروفایل

استاد

• Power Systems
• Optimization
• Smart Grids
• +۳ مورد دیگر

Natalia Alguacil is a Full Professor at the University of Castilla-La Mancha, affiliated with the Higher Technical School of Industrial Engineering in Ciudad Real, Spain. Her research focuses on power systems optimization, smart grid technologies, and renewable energy integration, with an emphasis on robustness, demand response mechanisms, and decentralized optimization frameworks. She has contributed significantly to topics such as transmission network expansion, energy storage systems, and electricity market design through advanced methodologies like bilevel programming and ADMM-based approaches. Her work addresses critical challenges in modern grid operation, including renewable integration uncertainties, fair prosumer incentives, and grid resilience. Key contributions include frameworks for optimal residential demand response coordination and robust scheduling under wind energy variability. Her research bridges theoretical advancements with practical implementation, influencing both academic discourse and industry practices. Natalia has authored over 40 peer-reviewed articles, many published in top journals like IEEE Transactions on Smart Grid and Power Systems. She has led projects on transmission tariff allocation, grid observability restoration, and defense planning against deliberate outages. Her educational efforts include pioneering problem-based learning curricula in engineering education.

Marcos Rodriguesمشاهده پروفایل

استاد

• Robotics and AI
• Advanced Modelling
• 3D Imaging
• +۷ مورد دیگر

Professor Marcos Rodrigues is the Head of the Geometric Modelling and Pattern Recognition (GMPR) Group at Sheffield Hallam University, within the Communication and Computing Research Centre and Culture and Creativity Research Institute. His research focuses on pattern recognition, sensor design, and 3D imaging with applications in robotics, medical engineering, security, and animation. He has pioneered world-leading technologies in fast 3D acquisition and data compression, earning patents and over 20 grants from EPSRC, EU, and industry. He teaches MSc courses in Artificial Intelligence, Network Applications, and Operating Systems. His work spans over 200 publications, emphasizing machine learning, medical informatics, and cybersecurity. Notable projects include the GMPR's 3D digitization of Sheffield Metalwork Collection and initiatives like MARWIN (Advertising Monitoring) and ADMOS (Outdoor Media Analytics). Research interests include AI-driven healthcare monitoring, facial expression analysis for patient risk assessment, and secure cloud computing. He has supervised PhD students in compression algorithms, medical imaging, and cybersecurity. His labs focus on advancing 3D reconstruction, data security, and real-time systems.

Theresa Wagnerمشاهده پروفایل

پژوهشگر

• Scientific Computing
• Data Science
• Algorithms
• +۲ مورد دیگر

Theresa Wagner serves as a Scientific Associate at the Department of Mathematics, Faculty of Mathematics, Chemnitz University of Technology since October 2020. She is actively engaged in the BMBF Junior Research Group SALE (fast algorithms for explainable recommendation systems) and holds leadership roles including Vice President of the GAMM Student Chapter Chemnitz and Deputy Equality Commissioner for the Department of Mathematics. Her academic background includes a Master of Science in Mathematics from TU Chemnitz completed in October 2020. Wagner further serves as a Women in Data Science (WiDS) Ambassador for Stanford University, organizing the WiDS Chemnitz Conference to promote gender diversity in data science. Wagner's research focuses on scientific computing and data science, particularly in developing fast algorithms for explainable recommendation systems. Her work bridges computational mathematics with practical AI applications, emphasizing transparency in algorithmic decision-making. As a WiDS Ambassador, she actively fosters inclusive communities in data science through outreach and mentorship initiatives. Administratively, Wagner contributes significantly to university governance as Deputy Equality Commissioner, Women's Representative, and member of the Center for Sport and Health Promotion Commission. She previously served as Secretary and Treasurer of the GAMM Student Chapter and remains an Advisory Member of the Student Representatives of Mathematics, demonstrating sustained commitment to academic service and student advocacy.

Bianca Schroederمشاهده پروفایل

استاد

• Computer Systems
• Large-Scale Systems
• Storage Systems
• +۶ مورد دیگر

Bianca Schroeder is a Full Professor and Canada Research Chair in the Computer Science Department at the University of Toronto, with a joint appointment as Associate Department Chair in the Computer and Mathematical Sciences Department at the University of Toronto Scarborough. She leads the computer systems and networks research group and previously completed postdoctoral research at Carnegie Mellon University under Garth Gibson, following her doctorate from Carnegie Mellon supervised by Mor Harchol-Balter. Her research focuses on the design, implementation, and analysis of large-scale computer systems, with particular emphasis on storage systems, data centers, system reliability, and resource allocation. She applies techniques from statistics, machine learning, and data mining to solve real-world problems in collaboration with industry partners including Microsoft, Google, and NetApp. Her work combines empirical analysis of production systems with innovative solutions for enhancing reliability and efficiency. Schroeder's publications demonstrate a consistent focus on understanding system failures through large-scale field studies, developing practical solutions for storage reliability, and optimizing resource management in data-intensive environments. Her research spans hardware reliability (DRAM errors, disk failures), storage systems, data center management, and scheduling algorithms. Major Scientific Awards: Sloan Research Fellow Outstanding Young Canadian Computer Science Prize Ontario Early Researcher Award NSERC Accelerator Award Two-time IBM PhD Fellowship winner Five best paper awards and two Test of Time Awards She actively recruits graduate students for projects in data center technologies, storage systems, and reliability engineering. Her research is supported by the Canada Research Chair program and industry partnerships. She has chaired multiple prestigious conferences including Usenix FAST'14 and ACM Sigmetrics'14.

Pavel Trtikمشاهده پروفایل

پژوهشگر

• Neutron Imaging
• Materials Science
• Battery Technology
• +۷ مورد دیگر

Dr. Pavel Trtik is an Instrument Scientist at the Neutron Microscope Project under the Laboratory for Neutron Scattering and Imaging at the Paul Scherrer Institute (PSI), Switzerland. His work focuses on advanced neutron imaging techniques for materials science and energy applications. Research Areas: Neutron imaging, hydrogen transport in nuclear materials, battery diagnostics, cement hydration, and liquid metal flow dynamics. Key Technologies: Operando neutron radiography, phase-contrast imaging, high-resolution tomography, and synchrotron X-ray ptychography. Applications: Sodium-ion batteries, zirconium cladding analysis, liquid metal batteries, and construction material characterization. His recent publications highlight neutron imaging as a tool for studying energy devices, corrosion processes, and hydrogen distribution. Notable projects include reactor design optimization and 4D nanoimaging of cement hydration. Contact: pavel.trtik@psi.ch

• Nuclear Engineering
• Reactor Physics
• Fuel Cycle Modeling
• +۳ مورد دیگر

Madicken Munk is an Adjunct Assistant Professor in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois' College of Engineering. She specializes in nuclear energy systems, reactor modeling, and computational tools for fuel cycle analysis. Her work emphasizes open-source software development, particularly with the yt platform for data visualization and analysis. Research interests include reactor physics, advanced reactor design (e.g., pebble-bed fluoride salt-cooled reactors), and hybrid computational methods for radiation transport. She has contributed to projects such as the Mark-I PB-FHR reactor and HALEU fuel cycle dynamics. Recent work focuses on yt 4.0 enhancements and sensitivity analysis of nuclear fuel transitions. Publications span reactor simulation, data visualization, and planetary geochronology instrumentation. Collaborations include FHR test reactor design and open-source tool development for scientific workflows. No scientific awards are listed, but her contributions to computational frameworks and reactor modeling are notable. Teaching includes courses on nuclear energy systems (NPRE 247) and reactor theory (NPRE 555). Active in FHR development and computational infrastructure for nuclear engineering applications.

• Nanotechnology
• Materials Science
• Thermal Transport
• +۱۰ مورد دیگر

William P. King is a Professor and Ralph A. Andersen Endowed Chair at the University of Illinois Urbana-Champaign, with appointments in Mechanical Science and Engineering, Electrical and Computer Engineering, and Materials Science and Engineering. He is affiliated with the Carle Illinois College of Medicine. His research focuses on nanotechnology, advanced materials, thermal transport, and manufacturing innovations. King holds 23 U.S. patents and has co-founded companies like Fast Radius and Hoowaki LLC. Education: Ph.D. in Mechanical Engineering (Stanford University, 2002), M.S. (Stanford, 1998), B.S. (University of Dayton, 1996). Academic roles include Professor at UIUC (2010–present), Associate Professor at Georgia Tech (2007–2010), and postdoctoral research at Stanford and IBM Zurich. Research Interests span nanotechnology, thermal systems, additive manufacturing, and biomedical applications. His lab, the Nanoengineering Laboratory, develops translational technologies across science, commerce, and engineering. Key areas include phase-change materials for thermal management, microfluidic diagnostics, and advanced heat exchangers. Publications highlight innovations in thermal management, additive manufacturing, and nanostructured materials. Awards include ASME’s Gustus-Larson Award, PECASE, and multiple R&D 100 Awards. King advises a team of 10 Ph.D. students and collaborates with industry through MxD and Fast Radius. Labs/Teams: Nanoengineering Laboratory, affiliated with UIUC’s departments and industry partners. Current projects focus on dynamic thermal systems, wearable electronics, and AI-driven manufacturing quality assurance.

Josep Torrellasمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Processing
• Hardware Reliability
• +۱ مورد دیگر

Josep Torrellas is the Saburo Muroga Professor of Computer Science at the University of Illinois at Urbana-Champaign. He directs the SRC/DARPA JUMP 2.0 ACE Center for Evolvable Computing and leads research in computer architecture, with focus on parallel processing, energy efficiency, and hardware reliability. Dr. Torrellas has received major awards including the IEEE Harry H. Goode Memorial Award, UIUC Campus Mentoring Award, and IEEE Technical Achievement Award. He is a Fellow of IEEE, ACM, and AAAS. His recent publications demonstrate strong focus on cloud security, serverless computing, and AI acceleration. Research consistently addresses hardware/software co-design for emerging computing paradigms. He has graduated 48 PhD students, many now faculty at top institutions. Dr. Torrellas teaches courses in parallel computer architecture and advises students in the ACE Center for Evolvable Computing.

Chris van den Broeckمشاهده پروفایل

استاد

• Gravitational Wave Astronomy
• Astrophysics
• Cosmology
• +۵ مورد دیگر

Prof. Chris van den Broeck is a Professor and Academic Director at Utrecht University's Faculty of Science, Department of Gravitational and Subatomic Physics (GRASP). His research focuses on gravitational wave astronomy, probing spacetime dynamics and compact objects like neutron stars and black holes using LIGO/Virgo/KAGRA observatory data. He leads projects analyzing gravitational wave signals, testing general relativity, and exploring multi-messenger astrophysics. Academic Roles: Professor, Academic Director (GRASP) Research Areas: Gravitational wave detection, neutron star/black hole mergers, cosmology His work includes collaborations with international teams to analyze gravitational wave catalogs, develop waveform models, and investigate dark matter candidates. Recent efforts emphasize machine learning applications for signal processing and anomaly detection in detector data. Publications highlight advancements in parameter estimation, eccentric binary detection, and lensing studies. Ongoing projects explore third-generation detector capabilities and nuclear physics constraints via gravitational wave observations. Labs/Teams: Leads the GRASP group, collaborating with LIGO/Virgo/KAGRA consortia. Active in Einstein Telescope design studies and future gravitational wave observatory developments.

• Gait Analysis
• Wearable Sensors
• Parkinson's Disease
• +۷ مورد دیگر

Dr Silvia Del Din is a researcher at Newcastle University specializing in gait analysis and digital health technologies. Her work focuses on mobility assessment in aging populations, neurological disorders (e.g., Parkinson's disease), and chronic conditions like COPD and sarcopenia. She leads projects such as the Mobilise-D consortium, validating wearable sensors for real-world mobility monitoring. Collaborations involve clinicians, engineers, and data scientists to develop algorithms for gait detection, turning analysis, and environmental context recognition. Her research emphasizes translating sensor data into actionable clinical insights, with applications in fall prevention, disease progression tracking, and exercise intervention studies. Key Projects: Mobilise-D, Acipimox sarcopenia trial, IDEA-FAST feasibility study. Technologies: IMU sensors, machine learning, self-supervised algorithms, magnetic field analysis. Clinical Focus: Parkinson's disease, COPD, aging frailty, long-term care environments. Publications highlight innovations in algorithm validation, environmental sensing, and interdisciplinary approaches to mobility assessment. Her work bridges engineering and medicine to improve diagnostic tools and patient care in chronic and neurological conditions.

• Internet Architecture
• Transport Layer Protocols
• Networking Standards
• +۳ مورد دیگر

Trygve Willassen is a Lecturer at the University of Oslo, affiliated with the Research Group for Nanoelectronic Systems. His work focuses on Internet architecture, transport layer protocols, and networking standards. He has led the IETF Transport Services (TAPS) Working Group and chaired the IRTF Internet Congestion Control Research Group (ICCRG) from 2006 to 2017. His contributions include over a dozen RFCs, including foundational standards for transport protocols, congestion control, and network security. Willassen's research emphasizes practical implementations, such as inspiring the RACK-TLP loss recovery algorithm (widely deployed in Linux and Windows) and the ABE congestion control mechanism in FreeBSD. He contributed to European projects like RITE, NEAT, and PRISTINE, advancing transport services and recursive networking architectures. His publications and RFCs span network performance, protocol design, and standardization, with a focus on real-world deployment and interoperability. He has advised students on master's theses, such as the NEATPy shim layer project.

• Pervasive Computing
• Big Data
• Augmented Reality
• +۹ مورد دیگر

Dr. Seyed Hoseinitabatabaei is a Senior Research Fellow at the University of Surrey. His research focuses on mobile-centric sensing, IoT integration, and pervasive computing. He has contributed to advancements in user behavior profiling, wireless communication models, and scalable data discovery mechanisms for large-scale IoT systems. His research interests include Pervasive Computing, Big Data analysis, Augmented Reality, Positioning Systems, Dead Reckoning, IoT architectures, and Social Signal Processing. Key innovations include the uDirect algorithm for user-facing direction estimation using smartphone sensors and quantum load balancing techniques for ad hoc networks. Publications highlight trends in mobile context recognition, IoT data management, and vehicular network modeling. Recent work emphasizes scalable solutions for distributed IoT systems and predictive video popularity modeling using clustering techniques. Notable contributions: Over 20 peer-reviewed articles, including impactful work in ACM Computing Surveys , IEEE Transactions , and Quantum Information Processing . Advised students: Hassanpour Asheghabadi Masoud (PhD, 2019) and Enshaeifar Saeid (PhD, 2017). Patents: Scalable Data Discovery in IoT Systems (2017).