جست‌وجوی استاد و پژوهشگر

• Financial Markets
• Economic Analysis
• Company Finances
• +۳ مورد دیگر

Cătălin Gheorghe is a Lecturer at the Department of Engineering and Industrial Management within the Faculty of Technological Engineering and Industrial Management at the Technical University of Brașov. His research focuses on financial markets, economic analysis, company finances, and materials science. Contact: gheorghe.c@unitbv.ro , Building V, Room VI0. Research Interests: Cătălin explores geopolitical risks' impact on financial systems, economic volatility linked to geopolitical conflicts, strategic relocation trends in high-risk regions, and advanced manufacturing techniques in materials processing. His work bridges macroeconomic theories with applied engineering challenges. Recent Research Trends: His articles analyze geopolitical dynamics in G7 markets (2014-2022), stock volatility during the Russia-Ukraine conflict using EGARCH models, and decision-making frameworks for corporate relocations. In materials science, he investigates laser cutting efficiency for Hardox steel and energy optimization in CO₂ laser processes. Grants/Advising: No specific grants or advising roles stated in the provided materials. Labs/Teams: Affiliated with the Department's research groups in industrial management and materials engineering.

• Public Health Informatics
• Algorithm Design
• Spatial Analysis
• +۴ مورد دیگر

Rubenia Borge serves as a Clinical Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas, with her academic base at Discovery Park (room E235K). Her position bridges computational disciplines and public health applications through innovative algorithmic research. Her research centers on solving critical public health challenges using advanced computational methods. Key focus areas include developing bias-correction algorithms for epidemiological data affected by privacy-driven suppression, designing spatial optimization frameworks for emergency response logistics, and creating meta-heuristic solutions for resource allocation during health crises. This work integrates computer science, spatial analytics, and public health policy to improve data integrity and operational efficiency in healthcare systems. Recent publications reveal a consistent trajectory of applying computational rigor to real-world public health problems. The 2024 study on disease rate estimation addresses fundamental flaws in health data reporting caused by privacy protocols, while the 2021 emergency transportation algorithm demonstrates practical applications for crisis management. Collectively, her research establishes a specialized niche in health informatics where algorithmic innovation directly impacts epidemiological accuracy and emergency response capabilities. No scientific awards, student mentoring records, research grants, or laboratory affiliations were documented in the provided source material.

Ghulam Murtazaمشاهده پروفایل

پژوهشگر

• Quantum Technologies
• Quantum Cryptography
• Photonics
• +۳ مورد دیگر

Dr. Ghulam Murtaza is a Postdoctoral Researcher in the Department of Computing and Mathematics at South East Technological University (SETU). His research focuses on quantum technologies, photonics, and telecommunications engineering. He holds a PhD in Quantum Technologies from the University of Naples Federico II (2023), an MSc in Electronics and Communication Engineering from Beijing University of Posts and Telecommunications (2019), and a BSc in Electrical Telecommunication Engineering from Government College University Faisalabad (2015). His key research areas include quantum cryptography, molecular single-photon sources for quantum key distribution, and electromagnetic compatibility in communication systems. Recent work explores room-temperature molecular photon emitters and the impact of coaxial connectors on signal integrity. Publications highlight advancements in quantum communication systems, optical frequency combs, and energy-efficient routing algorithms. His multi-disciplinary approach bridges quantum optics, telecommunications, and machine learning applications in medical imaging.

Martin Fangmeyerمشاهده پروفایل

پژوهشگر

• Evidence-Based Medicine
• Nursing
• Public Health
• +۳ مورد دیگر

Martin Fangmeyer serves as a Researcher at the University for Continuing Education Krems within the Faculty of Health and Medicine. He leads the Information Centre for Nurses for Cochrane Austria, operating from Campus Krems (Tract X, Room X1-007), with a mission to bridge evidence-based research and clinical nursing practice across Austria. Holding a Bachelor and Master of Science in Nursing (BScN, MScN), Fangmeyer specializes in translating systematic reviews into actionable clinical guidelines. His research portfolio emphasizes Evidence-Based Medicine, Nursing, and Public Health, with particular focus on the Choosing Wisely initiative to eliminate low-value care. Key domains include rapid evidence synthesis for outpatient management (e.g., COVID-19), complication prevention in immobile patients, and optimizing vascular access protocols. Analysis of his recent publications reveals consistent methodology in rapid review production and knowledge translation. His work predominantly addresses acute clinical dilemmas through Cochrane Pflege Forum publications, targeting practical nursing interventions for conditions like catheter occlusion, delirium prophylaxis, and pressure injury prevention. This output demonstrates strategic alignment with real-time clinical decision support needs. Fangmeyer directs two major funded initiatives: the Joanna Briggs Institute Collaboration (2024-2029) and Ebn-Pflegeinformationszentrum (2019-2026), both supported by Austrian regional governments. His grant portfolio includes private funding for the Rapid Review Vinzenzgruppe project, reflecting trust in his rapid evidence synthesis capabilities. As head of Cochrane Austria's nursing arm, he oversees a national knowledge hub that disseminates evidence-based resources through workshops, conference lectures (e.g., EbM-Netzwerk 2025), and direct clinical support. His Safewards model implementation work in psychiatric settings demonstrates cross-disciplinary application of evidence-based frameworks.

Caitlin R Pattenمشاهده پروفایل

دانشیار

• Breast Cancer
• Benign Breast Diseases
• High-Risk Breast Disease
• +۲ مورد دیگر

Caitlin R Patten is an Associate Professor of Surgical Oncology at the Medical College of Wisconsin, specializing in breast cancer treatment, benign breast diseases, and high-risk breast cancer management. She employs a multidisciplinary approach to develop personalized care plans and incorporates the latest surgical techniques and clinical trials into her practice. Her research focuses on breast disease clinical outcomes, surgical innovation, and medical education. Publications demonstrate trends in oncology biomarker research, surgical efficiency improvements, and ethical considerations in breast surgery. Awards include recognition as a Fellow of the American College of Surgeons. She practices at Froedtert Hospital, Froedtert Menomonee Falls Hospital, and Froedtert West Bend Hospital.

Elena Camelia Mușatمشاهده پروفایل

مدرس

• Ergonomics
• Forest roads
• Machines for constructions
• +۳ مورد دیگر

Elena Camelia Mușat is a Lecturer at the University of Brașov, affiliated with the Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements within the Faculty of Silviculture and Forest Engineering. Her research focuses on ergonomics, forest road design, and construction machinery in forestry contexts. She has contributed to studies on occupational safety in forestry operations, veneer cutting efficiency, and mechanized equipment time optimization. Her work bridges engineering and natural resource management, addressing challenges such as log defect analysis, workplace accident prevention, and sustainable wood processing. Publications include analyses of oak species utilization, statistical methods for veneer quality assessment, and ergonomic improvements in mechanized forestry systems. No scientific awards or grants are explicitly mentioned in the provided materials. She has not listed advisees or lab affiliations in the available data. Contact details include her office at Building S, Room S4, and email elena.musat@unitbv.ro.

Mahshid Birkholzمشاهده پروفایل

پژوهشگر

• Construction Management
• Civil Engineering
• Lean Construction
• +۳ مورد دیگر

Mahshid Birkholz is a Researcher at the Bauhaus-Universität Weimar, affiliated with the Faculty of Civil and Environmental Engineering. Her research focuses on the impacts of lean principles in BIM-based construction projects, lean implementation in infrastructure projects, and optimizing construction processes. She is based at Marienstraße 7a, Room 201 in Weimar, reachable via email or phone +49 (0) 3643 / 58-4571 (by appointment). Her research activities emphasize practical applications of lean methodologies and BIM integration to enhance construction efficiency. Teaching responsibilities include contributions to the Project Management course within the Faculty's curriculum. She collaborates with senior academics like Prof. Jürgen Melzner and Prof. Hans-Joachim Bargstädt, contributing to interdisciplinary projects on construction operations and safety. No scientific awards or grants are explicitly listed in the provided materials. Her work forms part of the faculty's broader initiatives in sustainable construction and technological innovation in the built environment.

Ann-Chatrin Linqvist Leonardsenمشاهده پروفایل

استاد

• Patient safety
• Digitalization of health services
• Nursing education
• +۷ مورد دیگر

Ann-Chatrin Linqvist Leonardsen is a Professor in Digital Health and Nursing at the University of Southeastern Norway and serves as Pro-Dean of Research and Education at Østfold University College's Faculty of Health, Welfare and Organization. With over 20 years of clinical nursing experience in anesthesia, operating rooms, and emergency care, she bridges practical expertise with academic leadership. 1996: Nurse diploma 2006: Nurse Anesthetist certification 2009: Health and Social Administration 2012: Master's in Interdisciplinary Collaboration 2017: PhD in Healthcare Services Research Her research focuses on patient safety , digitalization of health services , and quality improvement in clinical nursing education. Current projects include AI decision support systems, robotic-assisted surgery outcomes, and remote patient monitoring during pandemics. She leads the Advanced Clinical Nursing research group and contributes to the Digital Society initiative. Her recent publications emphasize operating room digitalization , prehospital AI applications , and person-centered telemedicine . She supervises students at all academic levels, edits the Inspira nursing journal, and reviews for journals like BMC Health Services Research . Collaborations span 15+ institutions including University of Oslo, Lund University, and Catalan Health Institute in Spain.

• Operations Research
• Optimization
• Sustainable Manufacturing
• +۳ مورد دیگر

Giulia Caselli is a Research Fellow at the University of Modena and Reggio Emilia , affiliated with the Department of Engineering Sciences and Methods. She also holds the role of Subject Leader in the Department of Economics 'Marco Biagi'. Academic Rank : Research Fellow Primary Department : Engineering Sciences and Methods Secondary Role : Subject Leader in Economics 'Marco Biagi' Her research focuses on Operations Research , Optimization , and Sustainable Manufacturing . Key subfields include Parallel Machine Scheduling , CO2 Emissions Minimization , Demand Forecasting , Workforce Allocation , and Healthcare Facility Design . She applies Mixed Integer Linear Programming and Constraint Programming to real-world problems in manufacturing, waste management, and healthcare. Recent publications highlight her work on contiguity constraints in scheduling, CO2 emissions optimization in waste transfer facilities, and machine learning applications to demand forecasting in the food industry. Her methodologies emphasize practical implementations, such as solving resource allocation in hydraulic component testing and hospital waiting room layouts.

Claudio Sterleمشاهده پروفایل

دانشیار

• Operations Research
• Logistics Optimization
• Operations Management
• +۶ مورد دیگر

Claudio Sterle is an Associate Professor in Operations Research at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technology (DIETI-UNINA). He also maintains an affiliation with the IASI-CNR Institute for Systems Analysis and Computer Science. His work focuses on optimization methodologies applied to logistics, transportation systems, healthcare management, and manufacturing processes. Research interests include: Combinatorial optimization and integer programming Logistics network design involving drones and multi-agent systems Healthcare operational efficiency (e.g., operating room scheduling) Transportation systems optimization (modal shift incentives, freight distribution) Algorithm development for cutting problems and facility location Recent work emphasizes practical applications like optimizing emergency room operations in Naples hospitals and developing drone-truck collaboration logistics models. His contributions to mathematical programming formulations for complex routing and coverage problems have been widely applied in both academic and industrial contexts. He leads the Optimization and Problem Solving Laboratory, focusing on bridging theoretical optimization research with real-world problem-solving. Teaching efforts include developing problem-based learning strategies for mathematics education through the OPS4Math project.

Javier Hernández Aceitunoمشاهده پروفایل

استادیار

• Computer Vision
• Robotics
• Intelligent Systems
• +۷ مورد دیگر

Javier Hernández Aceituno is an Assistant Professor at the Department of Computer Science and Systems Engineering, Universidad de La Laguna, Spain. He is affiliated with the GIC Ingeniería de Control y Sistemas Inteligentes research group. His research focuses on computer vision, robotics, and intelligent systems, with applications in autonomous navigation, medical imaging, and educational technology. He earned his PhD from the Universidad de La Laguna in 2016 with a thesis titled *'Aplicación de técnicas de detección visual para la navegación en entornos con peatones'*, supervised by Dr. José Demetrio Piñeiro Vera and Dr. Leopoldo Acosta Sánchez. His expertise spans autonomous systems, sensor fusion, and machine learning for healthcare and environmental applications. Research interests include: Computer Vision for Medical Imaging (e.g., retinal analysis) Autonomous Vehicle Navigation Human-Computer Interaction via Natural Interfaces Deep Learning Applications in Soil Science Virtual Reality in Education Recent Research Trends : His work bridges robotics and healthcare (e.g., operating room supervision), energy systems forecasting, and educational innovations through 3D modeling and interactive simulations. He has pioneered fusion of laser and optical sensors for obstacle detection in assistive robotics. Grants & Labs : Active in multidisciplinary collaborations involving the Faculty of Engineering and Architecture. Core member of the GIC lab advancing intelligent systems research. Currently exploring energy forecasting models and VR-based neuroscience education platforms.

• Advanced Materials Science
• Electronic Structure
• Magnetic Properties
• +۶ مورد دیگر

Maria del Rocío Sánchez de Armas is a Full Professor in the Department of Physical Chemistry at the University of Seville, Spain. She leads the Advanced Materials Science research group, focusing on electronic structure, magnetic properties, and optical/electrical characteristics of materials. Her work spans spin-crossover complexes, molecular devices, and catalytic processes. She has secured multiple grants, including projects on magnetic sensors based on porous solids and molecular devices from a quantum chemistry perspective. Her research also explores energy harvesting in solar cells and surface interactions of molecules. Key projects include: Magnetic sensors based on porous solids (US-1380922) Molecular Devices from the Point of View of Quantum Chemistry (PGC2018-101689-B-I00) Her research interests emphasize theoretical and computational approaches to materials science, with a focus on spin transitions, surface chemistry, and energy-related applications. Over the past decade, her team has published extensively in journals like Materials Today Chemistry , Nanoscale , and Nature Communications . Her contributions include advancements in spin-crossover materials for molecular electronics and the design of efficient separation systems using aluminosilicates and metal-organic frameworks. She has collaborated internationally on projects involving catalysis, X-ray spectroscopy, and solar cell interfaces.

Montserrat Casas Ametllerمشاهده پروفایل

استاد

• Quantum Information
• Semiclassical Methods
• Nuclear Structure
• +۲ مورد دیگر

Montserrat Casas Ametller is a Full Professor at the University of the Balearic Islands, where she has held her position since February 1994. She earned her PhD in Physics from the Autonomous University of Barcelona in 1981, following her undergraduate degree from the same institution in 1977. Her research spans: Quantum information and entangled states Semiclassical methods in physics Nuclear structure analysis Alpha spectrometry applications Cosmic radiation composition Professor Casas Ametller's publications focus on foundational aspects of quantum mechanics, including entanglement dynamics, quantum information metrics, and semiclassical entropy formulations. Her work bridges theoretical physics with practical applications in nuclear science and materials research. She has presented her research internationally at institutions including the Autonomous University of Barcelona, University of Córdoba (Argentina), and Bariloche Atomic Center (Argentina).

Xiajie YIمشاهده پروفایل

استادیار

• Operations Management
• Sports Scheduling
• Operations Research
• +۴ مورد دیگر

Professor Xiajie YI is an Assistant Professor in the Department of Operations Management at IÉSEG School of Management. He holds a Ph.D. in Operations Management from the University of Gent, Belgium (2020). His research focuses on optimization techniques applied to sports scheduling, healthcare logistics, and stochastic programming. Key areas of interest include managing uncertainty in sports timetabling, suspense maximization in tournaments, and proactive/reactive scheduling strategies. His academic contributions span innovative approaches to round-robin tournament design, operating room scheduling, and green logistics. Notable methodologies include stochastic programming for sports league catch-up rounds and fuzzy simulation algorithms for event credibility assessment. While no specific awards or grants are mentioned in the text, his work emphasizes practical applications of operations research in sports and healthcare sectors. Professor YI collaborates actively with institutions and partners, though specific details about advising students, lab affiliations, or future projects are not provided. His research demonstrates a commitment to balancing fairness, efficiency, and adaptability in complex scheduling challenges.

• Electrocatalysis
• Energy Storage Materials
• CO2 Conversion
• +۴ مورد دیگر

Brian Tackett is the Robert & Sally Weist Assistant Professor of Chemical Engineering at Purdue University, affiliated with the College of Engineering. His research focuses on advanced electrocatalytic systems for energy storage and CO2 conversion, with a particular emphasis on designing durable electrodes and understanding reaction mechanisms at the surface level. His work integrates experimental and computational methods to explore catalyst materials, such as platinum-modified carbides and conductive polymer-coated membranes, for applications in fuel cells, batteries, and CO2 reduction systems. Key areas include optimizing gas diffusion electrodes for long-term stability, quantifying adsorbate behavior during propane activation, and analyzing hydrogen evolution kinetics in zinc-based batteries. Publications from 2022–2025 highlight advancements in electrocatalyst design, including Cu nanoparticles on surfactant-treated carbon for CO2 reduction and novel membrane structures for robust gas diffusion layers. His studies often utilize operando spectroscopy and mass spectrometry to directly observe reaction pathways under operational conditions. No academic awards or student advising records are explicitly mentioned in the provided materials.