جست‌وجوی استاد و پژوهشگر

Dieter Jens De Baereمشاهده پروفایل

استاد

• Additive Manufacturing
• Structural Health Monitoring
• Laser Cladding
• +۳ مورد دیگر

Dieter Jens De Baere serves as a Professor at Vrije Universiteit Brussel (VUB) in Belgium, leading the Applied Mechanics Acoustics & Vibrations Research Group. His work centers on hybrid manufacturing and smart structures within mechanical engineering, with significant contributions to additive manufacturing technologies reflected in an h-index of 13 and 48 research outputs. His primary research domains include Additive Manufacturing, Structural Health Monitoring, and Laser Cladding, with specialized focus on 3D printing process optimization, crack mitigation in metal components, and real-time flaw detection systems. Current investigations address thermal gradient control in directed energy deposition and fatigue analysis of functionally graded materials for aerospace applications. Recent publications (2024-2025) demonstrate concentrated advancement in laser-directed energy deposition processes, particularly in-situ monitoring using high-speed imaging and thermal management strategies to reduce distortion in metal additive manufacturing. These efforts directly support industrial implementation of Industry 4.0 manufacturing standards. Prof. De Baere currently supervises one graduate student project. His research receives substantial funding through multiple competitive grants: NGCAT1: Metal hybrid 3D printing project (2025-2028) OZR4367: Strategic pillars for metal hybrid 3D printing (2024-2028) FWOSBO62: Fatigue optimization for sustainable additive manufacturing (2024-2028) IOF3024: VALM&M industrial valorization project (2023-2027) SRP82: Advanced modeling and monitoring strategies (2022-2027) He directs the Applied Mechanics Acoustics & Vibrations Research Group, which maintains active collaborations with aerospace and manufacturing industry partners to develop next-generation structural health monitoring systems and hybrid manufacturing solutions for critical components.

• Cyber-Physical Systems
• Industry 4.0
• Building Automation
• +۴ مورد دیگر

Prof. Dr.-Ing. Dipl.-Wirt. Ing. Diethelm Bienhaus is a faculty member at the Faculty of Information Technology (MNI) at Technische Hochschule Mittelhessen . His academic focus spans Cyber-Physical Systems , Industry 4.0 , and Assistive Technologies , with long-term projects in building automation and age-appropriate assistance systems. Research Interests: Cybersecurity for industrial systems, robotics, embedded systems, and human-computer interaction. Committee Roles: Member of the MNI Department Council, Head of Curriculum Development for Computer Engineering, and Chair of multiple appointment committees. Funded Projects: Led initiatives in secure digitalized healthcare production, dendrochronological analysis automation, and industrial connectivity platforms. Email: diethelm.bienhaus@mni.thm.de

• Electronics Engineering
• VLSI Design
• Digital Signal Processing
• +۵ مورد دیگر

Stefania Perri is an Associate Professor of Electronics at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). She holds a PhD in Electronics Engineering from the University of Reggio Calabria and has been actively involved in research and teaching since 1996. Research Interests include: Quantum-Dot Cellular Automata (QCA) - Invented an efficient QCA adder design methodology with three theorems. Image Processing - Developed memory architectures for aerospace applications and stereovision systems on FPGA. Low-Power Circuits - Designed novel SRAM cells and validated sub-threshold logic models. High-Speed Arithmetic - Holds US Patent 7,016,932 B2 for carry propagation optimization. Scientific Contributions: Over 120 publications including 58 journal papers, 48 conference proceedings, 3 patents International Collaborations with University of Rochester (USA) and Idaho State University Awards: Best Paper Awards at CENICS 2016 and CENICS 2010 Bronze Leaf Certificate at IEEE PRIME'06 Multiple Invited Paper recognitions

Stasha Lauriaمشاهده پروفایل

مدرس

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +۶ مورد دیگر

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

MARIOROSARIO PRISTمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Industrial Automation
• Machine Learning
• +۴ مورد دیگر

Dr. MARIOROSARIO PRIST serves as a Researcher at the Department of Information Engineering within the Faculty of Engineering at Marche Polytechnic University (UNIVPM) in Ancona, Italy. His institutional affiliation is maintained through the Department of Information Engineering (quota 170) at Via Brecce Bianche, 60131 Ancona, with contact details including phone 071 220 4468 and email m.prist@staff.univpm.it. Dr. PRIST's research spans cutting-edge domains in artificial intelligence applications for industrial systems, with particular emphasis on neural network implementations, digital twin architectures, and Industry 4.0 technologies. His work demonstrates strong focus on lightweight AI frameworks for edge computing , anomaly detection in manufacturing processes , and resource optimization in production environments . The research portfolio reveals consistent innovation in adapting advanced machine learning techniques to practical industrial constraints, especially for small and medium enterprises. Analysis of his publication trends indicates a strategic shift toward implementing AI solutions on resource-constrained devices and bridging edge computing with cloud infrastructure for real-time industrial monitoring. Recent work emphasizes practical applications of Echo State Networks for process control and anomaly detection, while maintaining strong connections to additive manufacturing optimization and safety monitoring systems. His research consistently addresses the challenge of making advanced AI accessible for industrial implementation without requiring extensive computational resources. Dr. PRIST's work demonstrates significant contributions to the integration of cyber-physical systems in manufacturing environments, with particular expertise in translating theoretical AI concepts into practical industrial applications that enhance production efficiency, safety, and sustainability.

Matthew Justمشاهده پروفایل

مدرس

• Number Theory
• Combinatorics
• Arithmetic Geometry
• +۱ مورد دیگر

Matthew Just is a Lecturer in the Department of Mathematics at the University of Georgia, where he completed his PhD in 2022 after earning BS (2012) and MS (2016) degrees from Georgia Southern University. He teaches mathematics courses for middle grades education majors and mentors undergraduate research. His educational background includes: BS in Mathematics, Georgia Southern University, 2012 MS in Mathematics, Georgia Southern University, 2016 PhD in Mathematics, University of Georgia, 2022 Just's research centers on number theory and combinatorics, investigating the interplay between additive and multiplicative structures, integer partitions, and analytic properties of power series/modular forms. His earlier work developed transmission models for Ebola and typhoid outbreaks, demonstrating cross-disciplinary applications in mathematical biology. His publication trends reveal deep integration of analytic methods across number theory and combinatorics, with emerging connections to arithmetic geometry through partition Eisenstein series and semi-modular forms, while maintaining relevance to real-world problems via epidemiological modeling. His academic honors include: Outstanding Graduate Teaching Assistant (2019) David Galewski Outstanding Graduate Teaching Award (2020) As an active mentor, Just guides over 10 undergraduate researchers through the Directed Reading Program and as Undergraduate Research Mentor for combinatorics/number theory, yielding one published paper and multiple manuscripts in preparation. He also provides specialized tutoring for students with diverse learning needs across all age groups. He participates in departmental seminars like Combinatorics SMARTS and contributes to the academic community through the UGA Duplicate Bridge Club, while balancing family life with his wife Erin and children Filly and August.

• Environmental economics
• Economic growth
• Macroeconomics
• +۳ مورد دیگر

Peter Kjær Kruse-Andersen is an Associate Professor at the Department of Economics, University of Copenhagen, Faculty of Social Sciences, where he has been employed since November 2018. He was promoted from Assistant Professor to Associate Professor in May 2025 after a period of significant research contributions in environmental economics and climate policy. His work bridges theoretical economic models with practical climate policy applications, particularly focusing on how countries can design effective unilateral climate policies in a global context. Dr. Kruse-Andersen earned his PhD in Economics from the University of Copenhagen in 2017 with a dissertation titled "R&D-Based Economic Growth, Directed Technical Change, and Environmental Policy." His academic journey includes a Master's degree (2014) and Bachelor's degree (2012) in Economics from the same institution, with additional research experience at Tilburg University and UC San Diego. His educational background has provided a strong foundation for his interdisciplinary approach to environmental economics. His research interests center on environmental economics, economic growth, macroeconomics, and the EU's CO2 emissions trading system (EU ETS). A significant portion of his work examines carbon leakage mechanisms, optimal climate policy design for small open economies, and the relationship between environmental regulation and technological innovation. His theoretical framework often incorporates both extensive and intensive margin effects of climate policies, providing nuanced insights for policymakers. Analyzing his recent publication record reveals a clear research trajectory focused on solving practical climate policy challenges through rigorous economic modeling. His work consistently addresses how countries pursuing ambitious climate targets can minimize carbon leakage while maximizing global emissions reductions. The interdisciplinary nature of his research spans environmental economics, international trade theory, energy markets, and macroeconomic policy design, with particular attention to the European context and Denmark's role as a climate policy frontrunner. Dr. Kruse-Andersen actively contributes to public discourse on climate policy through media appearances and policy commentary, demonstrating his commitment to translating academic research into practical policy recommendations. His work has gained significant attention in both academic circles and policy communities, as evidenced by numerous citations and media engagements. As an educator, he coordinates and teaches "Advanced Economics of the Environment and Climate Change" at the University of Copenhagen, shaping the next generation of environmental economists. His teaching approach emphasizes the practical application of economic theory to real-world climate challenges, preparing students to contribute meaningfully to the field.

• Algebra
• BCK Algebra
• BCI Algebra
• +۳ مورد دیگر

Andrzej Walendziak serves as a Professor at the Institute of Mathematics within the Faculty of Natural Sciences at the University of Siedlce, dedicating his career to advanced mathematical research with 100% specialization in mathematics. His core research domains include: Algebraic structures (BCK algebra, BCI algebra, pseudo BCK/BCI algebras) General topology in Zermelo-Fraenkel (ZF) set theory and ZF models Congruence relations and p-factor analysis apparatus development Intersections with mathematical logic and artificial intelligence With 74 publications demonstrating consistent scholarly output, his work reveals a concentrated trajectory in abstract algebraic systems and topological frameworks. Current research is exemplified by his membership in the project 'Development of the p-factor analysis apparatus and general topology in ZF and models for ZF' (144/23/B), emphasizing theoretical advancements in foundational mathematics. No specific scientific awards or honors are documented in the available profile information. Walendziak actively contributes to the aforementioned research project but has no doctoral or master's students listed in the provided data. His academic service remains centered within the Institute of Mathematics without additional team or laboratory affiliations specified.

Daniel Traçaمشاهده پروفایل

استاد

• Globalization
• Economic Development
• Labor Markets
• +۴ مورد دیگر

Daniel Traça is Professor of Economics at Nova School of Business and Economics (Nova SBE) in Lisbon and Visiting Professor at INSEAD across French and Singaporean campuses. Formerly Dean of Nova SBE and holder of the Marie et Alain Philippson Chair at Solvay Business School in Brussels, he also served as Vice-President and MBA Program Director there, with additional Visiting Professor roles at Seoul's KDI School and Geneva's Graduate Institute of International Economics. His academic credentials include: PhD in Economics from Columbia University MA in Economics from Columbia University Undergraduate Economics degree from Universidade Nova de Lisboa Traça's research centers on globalization and economic development, specifically analyzing labor market dynamics in industrialized nations, the interplay between market structure/trade exposure/innovation, and institutional development economics' impact on growth in impoverished countries. His methodological approach combines theoretical modeling with empirical validation to generate actionable policy insights for evolving global economies. His publication trajectory reveals consistent focus on international trade-labor market intersections, with seminal contributions on wage volatility mechanisms, trade flow determinants, and policy efficacy. Recent work expands into development economics domains including microfinance operational efficiency and remittance-driven investment patterns, demonstrating analytical versatility across both advanced and emerging economies. Dr. Traça has provided consultancy services to the World Bank and European Commission. The available documentation does not specify research grant awards, student supervision details, or laboratory affiliations.

• Compressible Flows
• Numerical Modeling
• Smoothed Particle Hydrodynamics
• +۷ مورد دیگر

Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications

• Mathematical Statistics
• Data Science
• Algebra
• +۳ مورد دیگر

Jukka Mikael Kohonen is a University Lecturer in the Department of Mathematics and Systems Analysis at Aalto University, Finland. He is affiliated with the Mathematical Statistics and Data Science, as well as Algebra and Discrete Mathematics research groups. His research interests span lattice theory and combinatorics, with recent work focusing on modular lattice reduction and enumeration techniques. He has contributed to algorithmic optimization and outlier correlation detection, collaborating across disciplines such as biomedical signal processing and computational mathematics. In his publications since 2017, Kohonen has explored topics ranging from symmetry reduction algorithms to additive number theory, with a notable emphasis on computational methods in discrete mathematics. Recent work (2025) advances techniques for simplifying modular lattices through elimination of irreducible elements. Research groups: Mathematical Statistics and Data Science, Algebra and Discrete Mathematics Email: jukka.kohonen@aalto.fi

• Backscatter Communications
• Wireless Communications
• Internet of Things
• +۴ مورد دیگر

Jari Lietzen serves as a Postdoctoral Researcher within the Department of Information and Communications Engineering at Aalto University, Finland, actively contributing to the Communication Engineering research group. His work focuses on pioneering ultra-low-power communication solutions for next-generation wireless networks, particularly through backscatter technologies that enable battery-free device operation by harvesting ambient energy. His research spans critical domains including Backscatter Communications for Ambient IoT, Physical Layer Security mechanisms like secret key generation, Visible Light Communication integration, and Quantum-Enhanced Wireless Systems. He investigates thin-film device fabrication using additive manufacturing, polarization conversion techniques, and reconfigurable intelligent surfaces for harmonic beam steering, addressing fundamental challenges in energy efficiency and security for constrained IoT environments. Analysis of his 13 publications (2018-2024) reveals a cohesive research trajectory centered on backscatter communications evolution. Key trends include the shift from foundational quantum backscatter paradigms (2018) toward practical hardware implementations like light-controlled thin-film devices (2024) and multi-antenna integrated systems. His work consistently bridges theoretical advances in physical layer security with experimental validation, demonstrating expertise in Sub-1GHz radio systems, satellite communications security, and hybrid VLC-backscatter architectures for ambient IoT. Within Aalto University's Communication Engineering group, Lietzen collaborates extensively on experimental projects involving prototype development and link budget validation, with strong partnerships including Boxuan Xie, Kalle Ruttik, and Riku Jäntti. His research directly supports emerging 6G technologies through innovations in passive wireless infrastructure and quantum-inspired communication protocols.

• Biomaterials
• Cellulose Chemistry
• Nanocellulose
• +۳ مورد دیگر

Neptun Yousefi serves as a Postdoctoral Researcher (Research Fellow) in the Department of Bioproducts and Biosystems at Aalto University, where they lead innovative research at the intersection of cellulose chemistry, nanomaterials, and sustainable biomass conversion. Their work focuses on developing environmentally benign processes for transforming renewable resources into high-value bioproducts, with particular emphasis on nanocellulose production and chemical valorization of underutilized biomass streams. Dr. Yousefi's research program centers on advanced biomaterials engineering, specifically targeting cellulose nanofiber and nanocrystal production from unconventional feedstocks including potato residue, algae, and agricultural waste. Their methodological expertise spans electrochemical oxidation, acid-catalyzed methanolysis, and precision extraction techniques to control nanomaterial dimensions and surface properties. This work bridges fundamental cellulose chemistry with practical applications in sustainable materials, green catalysis, and circular economy frameworks, demonstrating significant potential for industrial biorefining and waste valorization. Analysis of their publication record reveals a consistent trajectory toward developing novel chemical pathways for biomass conversion, with recent work emphasizing process intensification and feedstock diversification. Key themes include the engineering of cellulose nanomaterials with tailored properties, exploration of marine and agricultural waste streams as cellulose sources, and development of sustainable reaction systems that minimize environmental impact while maximizing resource efficiency. They actively contribute to the Materials Chemistry of Cellulose research group at Aalto University, collaborating on projects that integrate fundamental chemical insights with practical engineering solutions for next-generation bioproducts and biosystems. Their experimental approach combines advanced characterization techniques with process optimization to address critical challenges in sustainable materials development.

Alessandro Biondiمشاهده پروفایل

دانشیار

• Real-Time Systems
• Cyber-Physical Systems
• Embedded Systems
• +۸ مورد دیگر

Alessandro Biondi serves as Associate Professor of Computer Engineering at the Scuola Superiore Sant'Anna in Pisa, Italy, where he conducts research at the Real-Time Systems (ReTiS) Laboratory. His expertise centers on real-time, safe, and secure cyber-physical systems with critical applications in automotive and railway domains. His academic credentials include: Computer Engineering degree, cum laude , University of Pisa (within excellence program) PhD in Emerging Digital Technologies (Embedded Systems curriculum), cum laude , Scuola Superiore Sant'Anna (2017) Biondi's research spans real-time systems design, operating systems, hypervisors, synchronization protocols, embedded optimization, and formal scheduling analysis. His work bridges theoretical foundations with industrial implementation, emphasizing safety and security for mission-critical infrastructure through rigorous mathematical modeling and practical system development. Recent publications (2023-2025) demonstrate concentrated advancements in real-time scheduling optimization, memory management for safety-critical systems, and adversarial defense mechanisms in vision applications. Key trends include deterministic communication protocols for AUTOSAR, end-to-end latency minimization in distributed systems, and hardware-aware security solutions for heterogeneous SoCs, reflecting strong industry-academia collaboration. His scientific contributions have earned significant recognition: ACM SIGBED Early Career Award (2019) IEEE TCCPS Early Career Award (2023) Six Best Paper Awards Best Journal Paper Award (IEEE Transactions on Industrial Informatics) EDAA Outstanding Dissertation Award (2017) Additional honors: Outstanding Paper Award, Best Presentation Award, Best Paper Nomination Biondi leads industrial research projects for automotive and railway safety-critical systems while participating in European Commission-funded initiatives. He co-founded spin-offs Accelerat (specializing in predictable cyber-physical systems) and Wriggle Solutions (acquired IP for real-time tire monitoring), demonstrating his commitment to translating research into commercial solutions. His editorial service includes Associate Editor roles for IEEE TETC, Journal of Real-Time Systems, and LITES. As a core member of the ReTiS Laboratory, Biondi collaborates within a high-impact research ecosystem focused on advancing real-time computing theory and practice. The lab maintains deep industry partnerships and drives innovation in scheduling algorithms, security protocols, and optimization techniques for next-generation embedded platforms.

• autism
• ASD
• genetics
• +۱۱ مورد دیگر

Jeremy Willsey, PhD is an Associate Professor in the Department of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine and a member of the UCSF Weill Institute for Neurosciences. He has over ten years of experience in genetics and bioinformatics, with expertise in gene discovery and systems biology focused on psychiatric disorders including autism spectrum disorder (ASD), Tourette disorder (TD), obsessive-compulsive disorder (OCD), and attention-deficit/hyperactivity disorder (ADHD). Dr. Willsey earned his PhD in Genetics from Yale University in 2014 and completed postdoctoral training in Genetics and Systems Biology at UCSF. His research focuses on identifying and leveraging rare mutations for gene discovery in psychiatric disorders, then applying systems biological approaches to understand the biological relevance of these genes and detect additional risk factors. He developed a novel approach to co-expression network analysis that identified deep layer cortical glutamatergic neurons in the midfetal prefrontal cortex as showing the strongest convergence of ASD genetic risk. His work has contributed to the identification of more than 100 ASD-associated genes and initial characterization of the non-coding architecture of ASD. His lab has expanded to Tourette disorder, where he led work establishing the contribution of de novo variants to TD risk and identified novel TD risk genes including WWC1 and CELSR3. More recently, he has focused on identifying risk genes on chromosome X that contribute to male susceptibility in ASD, TD, and ADHD. His group has also initiated gene discovery in OCD. Dr. Willsey co-founded the NIH-funded Psychiatric Cell Map Initiative (PCMI) at UCSF, which aims to characterize functional networks underlying psychiatric disorders. The PCMI has utilized Xenopus tropicalis to study ASD risk genes and generated protein-protein interaction networks for nearly one hundred high-confidence ASD genes. Autism Speaks 2015 Annual Top 10 Autism Research Papers UCSF 2015 CIHR Postdoctoral Fellowship Yale University 2014 Carolyn Slayman Prize in Genetics Simons Foundation 2013 SFARI Notable Papers of 2013 Autism Speaks 2013 Top Ten Advances in Autism Research Dr. Willsey has received significant research funding, including NIH support to recruit and genetically characterize 1,000 new Tourette disorder trios and private funding for OCD research. His work has resulted in specific testable hypotheses around prefrontal cortex development, neurogenesis, and functional convergence of ASD risk genes. His lab continues to expand its research into the molecular mechanisms underlying psychiatric disorders and their potential therapeutic implications.