جست‌وجوی استاد و پژوهشگر

• Robotics
• Mechanical Engineering
• Mechanism Design
• +۳ مورد دیگر

Dr. Mathias Hüsing is an Adjunct Professor at the Institute of Mechanism Technology, Machine Dynamics and Robotics within the Faculty of Mechanical Engineering at RWTH Aachen University. His research focuses on robotics, compliant mechanism design, and energy-efficient mechanical systems, with applications in surgical manipulation, additive manufacturing, and human-robot interaction. Research Interests: Robotics (specifically compliant grippers, parallel kinematics, and hybrid robots) Energy-efficient mechanism design (cam systems, dynamic balancing) Smart manufacturing (digital tool chains, multidirectional additive manufacturing) Human-robot collaboration (inclusive workplaces, task adaptation) Sensor integration (calibration methods, non-contact safety systems) Algorithm development (motion planning, optimization techniques) Trends in Publications show a focus on surgical robotics, human-robot collaboration, and additive manufacturing. His work combines mechanism theory with practical implementation, emphasizing industrial applications and energy efficiency. Institute Affiliation includes leadership roles at the Institute of Mechanism Technology, Machine Dynamics and Robotics. He actively develops educational tools like the Software Mechanism Developer and integrates robotics into Industry 4.0 frameworks.

Taejoon Kimمشاهده پروفایل

دانشیار

• Wireless Communications
• Statistical Signal Processing
• Networked Systems
• +۱۴ مورد دیگر

Taejoon Kim is an Associate Professor at the School of Electrical, Computer and Energy Engineering, Arizona State University, with research focusing on Wireless Communications, Statistical Signal Processing, and Networked Systems. His work bridges Information Theory, Machine Learning, and Optimization for applications in 5G/6G Security, mmWave/THz Communication, and Distributed Fusion. Education: PhD in Electrical and Computer Engineering from Purdue University, MS from KAIST (South Korea), BS from Sogang University (South Korea). Research interests span Machine Learning for Physical Layer design, Feature Learning, Distributed Interference Management, and Algorithms on Manifolds. Recent projects examine learnability in AI/ML-based physical layer techniques, fast beam alignment in mmWave systems, and optimization of network resource allocation. His article portfolio reveals trends in 5G/6G Security, Federated Learning, and Channel Estimation. Notable awards include the Kansas Board of Regents Faculty of the Year (2024), Miller Professional Award (2023), and IEEE Transactions on Communications Best Paper Award (2016). Scientific Honors Kansas Board of Regents Faculty of the Year (2024) Miller Professional Award for Research (2023) Harry Talley Excellence in Teaching (2022) IEEE Stephen O. Rice Prize (2016) CityU Hong Kong President's Award (2017) Active grants include NSF Convergence Accelerator Track G, ONR projects, and NASA collaborations. His research group has produced 29 US patents and supervised numerous PhD students, including Hadi Ghauch (now Assistant Professor at Telecom Paris) and Wei Zhang (now at Harbin Institute of Technology Shenzhen).

• Quantum Control
• Mathematical Modeling
• Spin Dynamics
• +۳ مورد دیگر

Dr. Sophie Shermer is an Associate Professor in the Physics Department at Swansea University , specializing in quantum control, spin dynamics, and quantum information processing. She contributes to both theoretical and applied research, bridging quantum technologies with medical imaging applications. Research Focus: Quantum control modeling, optimization of spin dynamics, robustness in quantum systems, medical imaging (MRI), and quantum information transfer. Teaching: Delivers modules in Medical Imaging and Spectroscopy and foundational physics courses. Scientific Contributions: Recent work includes: Optimizing quantum state transfer in spin networks (2025: Automatica , New Journal of Physics ) Analyzing robustness against dephasing in quantum systems (2023: Research Directions: Quantum Technologies ) Applying quantum control principles to prostate cancer MRI classification (2024: Lecture Notes in Computer Science ) Her research combines theoretical quantum mechanics with practical applications in spintronics and medical diagnostics. Contact: Office 505, Vivian Building, Singleton Campus. Email: s.schirmer@swansea.ac.uk

Oliver Tseمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Optimal Control
• Mathematical Modeling
• +۵ مورد دیگر

Oliver Tse is an Associate Professor in the Applied Analysis group of the Centre for Analysis, Scientific computing and Applications (CASA) at Eindhoven University of Technology (TU/e). He leads the Calculus of Variations and Optimal Control group within CASA and is affiliated with both the Center for Quantum Materials and Technology Eindhoven and the Applied Analysis group. His office is located at MetaForum 5.059, and he can be contacted at o.t.c.tse@tue.nl or +31 40 247 4356. Oliver Tse earned his master's degree in Applied Mathematics at the University of Kaiserlautern (sponsored by the Fraunhofer Institute for Industrial Mathematics), followed by his doctorate (Dr. rer. nat.) in 2011 under the supervision of Prof. René Pinnau. He worked at the University of Kaiserlautern for five years, including two years as an Assistant Professor in the Industrial Mathematics group. Tse's research centers on nonlinear and nonlocal Partial Differential Equations (PDEs), with expertise spanning modeling and simulation, numerical methods, optimization, and stability analysis. His current interests focus on the connections between optimal transport, generalized gradient flows, and large deviations, as well as probabilistic methods for studying PDEs. He aims to develop new analytical tools by establishing these connections. His recent work demonstrates a strong interdisciplinary approach, bridging pure mathematical analysis with quantum computing applications, particularly in variational quantum optimal control and neutral atom quantum systems. His publication record from 2024-2025 shows a clear trend toward applying mathematical analysis to quantum computing challenges, with three 2025 papers focusing on quantum optimal control and qubit configuration optimization, while maintaining strong connections to his foundational work in PDE theory as evidenced by his 2024 Numerische Mathematik paper. This demonstrates his ability to translate abstract mathematical concepts into practical solutions for emerging quantum technologies. Tse is actively involved in the academic community, organizing and participating in workshops such as the Finite Volumes and Optimal Transport workshop in Paris (November 2024), the Oberwolfach mini-workshop on High-Dimensional Control Problems (December 2024), and the IPAM long program on Non-commutative Optimal Transport in Los Angeles (March-June 2025). He hosts academic visitors including Urbain Vaes from École des Ponts ParisTech and Riccarda Rossi from the University of Brescia in early 2025. In addition to research, Tse teaches several mathematics courses including Measure, Integration and Probability Theory, Calculus Variant 2, and Partial Differential Equations. His research has received funding from the Dutch Ministry of Economic Affairs and Climate Policy as part of the Quantum Delta NL program, the Horizon Europe program HORIZON-CL4-2021-DIGITAL-EMERGING-01-30 via Project No. 101070144 (EuRyQa), and the Netherlands Organization for Scientific Research (NWO) under Grants No. 680.92.18.05 and No. NGF.1582.22.009.

• Side-channel attacks
• Post-Quantum Cryptography
• Cryptographic implementations
• +۳ مورد دیگر

Thomas Schamberger is a Researcher at the Chair of Information Security at Technical University of Munich, working under Prof. Dr.-Ing. Georg Sigl. He is based at Theresienstr. 90 in Munich and maintains an active research profile in cryptographic security with numerous publications spanning from 2018 to 2023. His primary research interests focus on side-channel attacks (particularly power analysis and electromagnetic analysis) targeting post-quantum cryptographic systems . He investigates efficient and secure implementations of post-quantum algorithms and develops countermeasures against side-channel vulnerabilities. His work bridges theoretical cryptography with practical hardware implementations. Analysis of his publication record from 2018-2023 reveals a strong focus on post-quantum cryptography security, with particular attention to NTRU, HQC, and Kyber cryptosystems. His research consistently addresses both attack methodologies (side-channel and fault attacks) and defensive countermeasures (masking techniques, DOMREP). The publications demonstrate expertise spanning hardware implementations, microcontroller security, and machine learning applications in side-channel analysis. While no specific scientific awards are mentioned in the available information, his work appears in prestigious venues including IEEE Transactions on Information Forensics and Security, IACR Transactions on Cryptographic Hardware and Embedded Systems, and major international conferences like CBCrypto and COSADE. Thomas actively supervises student research, offering opportunities for bachelor's and master's theses in his research areas. His position at the Chair of Information Security places him within TUM's broader research ecosystem focused on hardware security, cryptographic implementations, and countermeasures against physical attacks.

• Network Science
• Temporal Networks
• Multilayer Networks
• +۵ مورد دیگر

Arash Badie-Modiri is a Visiting Professor at Aalto University's School of Science, Department of Computer Science. His research focuses on temporal networks, multilayer networks, and computational modeling of complex systems. Institution: Aalto University School: School of Science Department: Department of Computer Science Rank: Visiting Professor Email: ext-arash.badie-modiri@aalto.fi His work spans network science, statistical physics, and software development, with particular emphasis on temporal network analysis , multilayer network modeling , and dynamic connectivity estimation . Recent publications highlight contributions to epidemic modeling, crowdsourcing methodological improvements, and open-source software tools like the pymnet library. Collaborations with researchers such as Kimmo Kaski, Jari Saramäki, and Mikko Kivelä reflect his integration into multidisciplinary academic networks. Research outputs demonstrate expertise in temporal network theory , weighted event graphs , and percolation dynamics applied to complex systems.

• Global Optimization
• Interval Arithmetic
• Mathematical Modeling
• +۵ مورد دیگر

Hermann Schichl is an Associate Professor at the University of Vienna , affiliated with the Faculty of Mathematics and Department of Mathematics. His work spans mathematical modeling, global optimization, and numerical analysis.

Fanny Boraitaمشاهده پروفایل

پژوهشگر

• Digital Education
• Educational Sciences
• STEAM Education
• +۷ مورد دیگر

Fanny Boraita is an Educational Coordinator at the Faculty of Computer Science of the University of Namur , Belgium. With a doctorate in Educational Sciences from the University of Geneva and a master's degree in Educational Sciences from the University of Liège, she combines her academic background with hands-on experience in digital education and STEAM (Science, Technology, Engineering, Arts, Mathematics) initiatives. 2014 : Doctorate in Educational Sciences, University of Geneva 2012 : Certificate in University Pedagogy, University of Geneva 2010 : Master's in Educational Sciences, University of Liège 2008 : Bachelor's in Psychology and Educational Sciences, University of Liège Her research focuses on digital education , robotics in pedagogy , and conceptual metaphor analysis . She explores how digital technologies transform educational practices, with particular attention to STEAM integration , distance learning , and gender equality in IT . Her work addresses societal transitions, emphasizing critical thinking and student-centered approaches . Recent publications highlight her involvement in evaluating digital education programs ( Évaluer journal, 2023), analyzing remote learning impacts during the pandemic (ROC 2021 conference, 2022), and co-editing the book Educating in Digital Technology (2021). These works often intersect with educational psychology , robotics literacy , and emergent technologies in learning environments. As a co-organizer of the UNamur STEAM Internships and Summer Universities , and a speaker in the UNamur STEAM Education Certificate program, she actively shapes educational innovation. She also contributes to projects like ELEVATOR (2021–2022) on post-pandemic teaching and Gender equals future: 011 for IT (2023) promoting inclusivity in technology education. Fanny is a creator at the educational design studio @d1g1factory and self-employed at @Vers ta réussite , demonstrating entrepreneurial engagement alongside her academic work. Her research fingerprint includes themes like conceptual metaphors , intelligent robots , and digital culture , reflecting interdisciplinary interests at the intersection of technology and learning.

• Risk Management
• Organizational Resilience
• Risk Financing
• +۳ مورد دیگر

Simon Sølvsten is a researcher at the Department of Business and Sustainability, University of Southern Denmark, and director of the European Center for Risk & Resilience Studies (ECRRS) since 2023. His dual expertise spans academia and the insurance industry, with current external roles at Willis Towers Watson as Head of Organizational Resilience Research (UK, Global) since 2021. PhD in Economics (SDU, 2022) MSc in Economics and Business Administration (SDU, 2018) HD diplomas in Business Administration (Aarhus University, 2014-2016) Leadership Degree (University College Nordjylland, 2011) His research focuses on organizational resilience, risk financing, and engineering applications like computer vision for fire risk assessment. Articles address supply chain disruptions, climate risks, and technological solutions for hazard mitigation. He supervises multiple PhD candidates and leads projects on catastrophe transitions and disaster risk financing. Royal Reveals: LiDAR Mapping of Kronborg Castle (2024) Reimaging disaster risk financing through insurance (ongoing)

Jonas Peeckمشاهده پروفایل

پژوهشگر

• Real-time Communication
• Safety-critical Systems
• Autonomous Systems
• +۵ مورد دیگر

Dr. Jonas Peeck is a researcher at the Institute of Computer and Network Engineering (IDA), Braunschweig University of Technology. He teaches courses such as Introduction to Electronic Systems and Technische Informatik II for Bachelor students. His research focuses on time-critical communication processing of large data objects in safety-critical systems, with applications to autonomous systems, industrial automation, and robotics. Education PhD (Dr.-Ing.) in Computer and Network Engineering, TU Braunschweig, 2023 M.Sc. in Computer Science, TU Braunschweig, 2018 B.Sc. in Computer Science, TU Braunschweig, 2015 Jonas Peeck’s work examines sensor-to-actuator chains, prioritizing wireless communication reliability under resource constraints. His publications address real-time Ethernet protocols (TSN), CNN acceleration on multi-core processors, and error-resilient V2X data transmission. Key trends include data-centric communication, synchronization mechanisms, and resource-efficient middleware for autonomous systems. His research has been published in journals like ACM Transactions on Embedded Computing Systems and IEEE Transactions on Vehicular Technology , alongside conference papers at IEEE COMPSAC, RTSS, and IECON. Jonas Peeck’s work bridges theoretical analysis with practical implementations in mobility and industrial automation contexts.

Saima Hiraniمشاهده پروفایل

استادیار

• Mental Health
• Nursing
• Women's Health
• +۶ مورد دیگر

Saima Hirani is an Assistant Professor at the School of Nursing within the Faculty of Applied Science at the University of British Columbia (UBC), Vancouver. Her office is located at T201-2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada, and she can be contacted via email at saima.hirani@ubc.ca. Dr. Hirani holds a PhD and actively contributes to nursing academia through her research and teaching. Her research portfolio spans mental health, women's health, violence prevention, and adolescent health, with emphasis on vulnerable populations including immigrant women, nurses, and youth. She frequently employs community-based participatory methods and mixed-methods approaches to address structural determinants of health. Key themes include workplace violence against nurses, mental health impacts of the COVID-19 pandemic, sexuality development in immigrant adolescents, and HIV care for marginalized communities. Her work bridges Pakistan and Canada, focusing on culturally responsive interventions and policy implications. Analysis of her 15 most recent publications (2022-2025) reveals consistent trends in mental health research across diverse contexts: 40% address pandemic-related impacts on healthcare workers and vulnerable groups, 30% examine gender and migration intersections, and 20% focus on adolescent sexuality and prosocial behavior. Methodologically, 60% utilize qualitative or mixed methods, reflecting her commitment to contextual understanding of health challenges. No scientific awards were documented in the available information. While specific advising details are unreported, her publications indicate mentorship of early-career researchers through collaborative projects. No grant information is publicly specified, though her extensive Pakistan-based work suggests international funding partnerships. Her research emphasizes community-engaged approaches rather than laboratory-based work, with no dedicated labs or formal teams mentioned in current records.

Petri Antero Uusitaloمشاهده پروفایل

پژوهشگر

• Construction Management
• Lean Construction
• Digital Transformation in Construction
• +۷ مورد دیگر

Petri Antero Uusitalo is a Postdoctoral Researcher at Aalto University's Department of Civil Engineering. His work focuses on construction management, lean construction, and digital transformation in infrastructure projects. Research Interests Uusitalo explores Situational awareness systems in construction Digital visual management challenges Contractor involvement in design quality Complex adaptive systems in the construction industry Efficiency in takt production Publications His recent research emphasizes the integration of digital tools, systemic transformations, and collaborative workflows. Notably, he investigates situational awareness systems and their impact on design reliability, alongside empirical studies on contractor involvement and functional resonance analysis.

Meghdad Bagheriمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Infrastructure Resilience
• Machine Learning Applications in Geotechnics
• +۵ مورد دیگر

Dr. Meghdad Bagheri is a Senior Lecturer in Geotechnical Engineering within the Department of Engineering & Construction at the University of East London's School of Architecture Computing and Engineering. With over 13 years of combined industry and academic experience, he serves as the Course Leader for undergraduate Civil Engineering programs at UEL. Dr. Bagheri is a Chartered Engineer with the Institution of Civil Engineers and a Fellow of the Higher Education Academy. Education: BSc (Hons) Civil Engineering (First Class) MSc Geotechnics (Distinction) PhD Civil Engineering PGCert Academic Practice in Higher Education Dr. Bagheri's research spans multiple cutting-edge areas in geotechnical engineering, with particular focus on infrastructure resilience, machine learning applications in geotechnics, and sustainable engineering solutions. His work investigates the thermo-hydro-mechanical behavior of unsaturated clays, develops AI-driven approaches for geotechnical engineering problems, and creates early warning systems for aging infrastructure. His research integrates satellite-based earth observation techniques with traditional geotechnical methods to advance infrastructure asset management. Analysis of Dr. Bagheri's recent publications reveals a strong trend toward integrating artificial intelligence with traditional geotechnical engineering practices. His 2022-2024 publications demonstrate increasing sophistication in applying machine learning to soil characterization problems, while maintaining strong foundations in fundamental soil mechanics research. The publications show a clear progression from basic soil property investigations to complex AI-driven predictive models and infrastructure monitoring systems. Professional Affiliations: Member, British Geotechnical Association, UK Fellow, Higher Education Academy, UK Further Learning Assessor, Institution of Civil Engineers, UK As an award-winning lecturer with experience teaching at leading UK academic institutions including the University of East London, Coventry University, and the University of Nottingham, Dr. Bagheri has successfully led course development, accreditation processes, and industry partnerships. He has supervised PhD and MSc projects and secured multiple research grants to support his work in geotechnical innovation. Dr. Bagheri actively seeks high-caliber PhD students and collaborators for ongoing research projects focused on advancing geotechnical engineering through the collaboration between academia and industry.

Qian Xuمشاهده پروفایل

پژوهشگر ارشد

• Quantum Error Correction
• Fault-Tolerant Quantum Computing
• Quantum Computing
• +۳ مورد دیگر

Qian Xu is a Sherman Fairchild Postdoctoral Scholar Research Associate at the Walter Burke Institute for Theoretical Physics, California Institute of Technology (Caltech), supervised by John Preskill. Their research focuses on quantum error correction and fault-tolerant quantum computing within Caltech's theoretical physics ecosystem. Education: Ph.D. in Quantum Science and Engineering, University of Chicago (2024), advised by Liang Jiang. Thesis: 'Towards Practical Fault-Tolerant Quantum Computing'. B.S. in Physics, Nanjing University (2019). Research Interests: Xu pioneers approaches to minimize space-time overhead in fault-tolerant quantum systems through novel error-correcting codes and noise-robust processor design. Their work integrates quantum error correction, quantum control, and reservoir engineering to develop practical quantum computing architectures. Key innovations include tailored codes for biased noise environments and hardware-efficient protocols for bosonic qubit systems. Current investigations span quantum LDPC codes, homological product codes, and cat qubit stabilization techniques. Publication Trends: Xu's 12 publications (2021-2024) reveal three dominant research thrusts: (1) Low-overhead fault tolerance using quantum LDPC and homological product codes; (2) Hardware-efficient bosonic qubit systems (cat/squeezed cat codes); (3) Noise-adaptive topological code design. This work demonstrates consistent focus on reducing physical resource requirements while maintaining fault tolerance, with increasing emphasis on experimental feasibility through collaborations with quantum hardware groups. Labs and Teams: As a member of Caltech's Walter Burke Institute for Theoretical Physics, Xu collaborates extensively with the Preskill research group and experimental teams at Harvard/MIT. Their work bridges theoretical quantum information science and near-term quantum device engineering through the Institute's cross-disciplinary framework.

Alessandro Leonardiمشاهده پروفایل

مدرس ارشد

• Geomechanics
• Numerical Modelling
• Geohazards
• +۷ مورد دیگر

Dr. Alessandro Leonardi is a Senior Lecturer in Geomechanics at the University of Sheffield's Department of Civil and Structural Engineering, within the School of Mechanical, Aerospace and Civil Engineering. He holds a PhD from ETH Zurich, completed with support from a Marie Curie Fellowship, and previously served as a postdoctoral fellow at Politecnico di Torino where he led software development for mountain hazard assessment. His research focuses on: Numerical modelling of multiphase particle-fluid interactions using DEM-LBM coupling Geohazard prediction including landslides, debris flows, and submarine mass movements Climate-resilient infrastructure through physical modeling and smart mitigation structures Recent publications demonstrate strong emphasis on multiscale simulation frameworks, geotechnical centrifuges, and barrier interaction dynamics, with consistent applications to climate adaptation challenges. His HYBIRD simulation tool development represents significant innovation in multiphase flow analysis. Awards: Marie Curie Fellowship for doctoral research at ETH Zurich Research Leadership: Leads the HYBIRD simulation tool development initiative and supervises PhD candidates including Hanpeng Chen and Hannah Nichols. Collaborates extensively with the Geotechnical Engineering Group and Geotechnical Centrifuge facility.