جست‌وجوی استاد و پژوهشگر

Hao-Wei Chenمشاهده پروفایل

استادیار

• Supply Chain Management
• Retail Operations
• Healthcare Operations Management
• +۳ مورد دیگر

Hao-Wei Chen is an Assistant Professor in the Department of Information Operations and Technology Management at the John B. and Lillian E. Neff College of Business and Innovation, University of Toledo. His academic roles include teaching and research in operations management and supply chain optimization. He holds a PhD in Industrial and Systems Engineering from the University of Minnesota (2011), a Master of Science in Computer Science from Eastern Michigan University (2005), and a Bachelor of Science in Electronic Engineering from Fu Jen Catholic University (2001). Dr. Chen's research focuses on supply chain management, healthcare operations, retail logistics, and quality management. His work explores topics such as fast-ship commitment contracts, inventory risk mitigation, multi-panel clinic resource allocation, and paratransit service efficiency. He has published extensively in journals like Production and Operations Management and IIE Transactions . In 2015, he received the IIE Transactions Best Paper Award for his work on scheduling and logistics. His research bridges theoretical models with practical applications, addressing real-world challenges in retail supply chains, healthcare systems, and transportation networks. He advises on inventory policies, demand-responsive transit systems, and quality improvement initiatives in industrial settings.

Aurica Luminița PARVمشاهده پروفایل

استاد

• Industrial Engineering
• Lean Management
• Supply Chain Management
• +۳ مورد دیگر

Aurica Luminița PARV is a full Professor in the Department of Manufacturing Engineering at the Faculty of Technological Engineering and Industrial Management , Transilvania University of Brașov, Romania. Her academic profile spans industrial engineering, lean operations, and supply chain systems. Current faculty member with active research in manufacturing and sustainability Active contributor to Production Engineering and Industrial Systems literature Research Focus: Professor Parv specializes in advanced manufacturing optimization, integrating Industry 4.0 technologies with sustainable practices. Her work addresses: Smart factory implementations Lean-Sustainability frameworks Agent-based production simulation NDT 4.0 quality systems Supply chain efficiency models Publication Trends: Recent outputs demonstrate cross-disciplinary applications of digital manufacturing technologies. Key themes include: Industry 4.0 sustainability metrics Energy-efficient production design Data-driven quality control Academic-industry collaboration models

Victoria Kennelمشاهده پروفایل

دانشیار

• Industrial/Organizational Psychology
• Healthcare Delivery
• Team Performance
• +۵ مورد دیگر

Victoria Kennel is an Associate Professor and industrial/organizational psychologist at the University of Nebraska Medical Center (UNMC) within the College of Allied Health Professions. She specializes in optimizing healthcare delivery through team performance, quality improvement, and telehealth technologies. Academic Role: Associate Professor Department: Allied Health Professions Education, Research, and Practice Key Grants: Funded by AHRQ, NIGMS (Great Plains IDeA-CTR), Nebraska Department of Health and Human Services, American Heart Association, and U.S. Public Health Service Her research focuses on: Team-based interventions in traditional and virtual care settings Integrating patients and caregivers into care teams Creativity and innovation training in healthcare Translating psychological science to clinical practice Victoria's recent publications highlight trends in telehealth, patient safety, burnout mitigation, and team creativity. She actively supports interprofessional education and leadership development as a Creative Coaching program coach at UNMC.

• Healthcare Logistics
• Operations Research
• Supply Chain Optimization
• +۳ مورد دیگر

Issam NOUAOURI is an Associate Professor with HDR (Habilitation à Diriger des Recherches) specializing in healthcare logistics, operations research, and disaster management. His research focuses on optimizing patient flows, material resources, and supply chain networks in dynamic and uncertain environments. Key areas include emergency medical services, sustainable supply chains, and AI-driven healthcare solutions. Education: Ph.D. Thesis: 'Gestion hospitalière en situation d’exception: optimisation des ressources critiques' (2006-2010) HDR: 'Contribution à l’optimisation des flux de patients et matières dans un environnement incertain et dynamique' (2023) Research interests span healthcare logistics, optimization algorithms (metaheuristics, genetic algorithms), disaster response planning, and sustainable supply chain design. Notable work includes modeling ambulance routing, emergency department resource allocation, and collaborative hospital networks. Publications emphasize practical applications in healthcare systems, such as reducing patient waiting times, optimizing vehicle routing for hazardous waste, and integrating AI in disease diagnosis. His work bridges theoretical optimization and real-world healthcare challenges. Grants and collaborations include projects on hospital logistics within Groupements Hospitaliers de Territoire (GHT), disaster management systems, and rail safety co-simulation. He has supervised seven Ph.D. students focusing on healthcare scheduling, supply chain optimization, and hyperheuristics. Labs/Teams: Active contributor to the LGI2A laboratory, focusing on interdisciplinary research in intelligent systems and healthcare operations.

• High Performance Computing
• Network Simulation
• Parallel Discrete Event Simulation
• +۵ مورد دیگر

Kevin A. Brown is an active researcher in the field of High Performance Computing with a strong publication record spanning over a decade. His work primarily focuses on HPC network simulation, performance analysis, and optimization of parallel computing systems. He has collaborated extensively with researchers including Christopher D. Carothers, Robert B. Ross, and Satoshi Matsuoka across multiple institutions. Dr. Brown's research interests center around network simulation techniques, particularly Parallel Discrete Event Simulation (PDES) for modeling HPC networks. His recent work explores multi-fidelity network simulation frameworks, surrogate modeling for performance prediction, and machine learning applications for network traffic forecasting. He has made significant contributions to understanding network congestion, quality-of-service mechanisms, and the interference between different types of traffic in HPC environments. His publication record shows consistent output with 19 publications documented between 2014 and 2025, with increased productivity in recent years. The 2023-2025 period shows particularly strong activity with 12 publications, indicating ongoing research momentum. His work appears primarily in top HPC conferences including SIGSIM-PADS, CLUSTER, and ICPP. Notable recent contributions include the development of MFNetSim for multi-traffic modeling of Dragonfly systems, research on zombie packet techniques for hybrid PDES simulation, and work on steady-state fluid models for HPC networks. His research demonstrates a clear trajectory from fundamental network performance analysis toward more sophisticated simulation frameworks incorporating machine learning techniques.

Sol Skinnarlandمشاهده پروفایل

دانشیار

• Work Organization
• Interdisciplinary Collaboration
• Construction Project Management
• +۴ مورد دیگر

Sol Skinnarland is an Associate Professor at the Department of Welfare, Management and Organisation at Østfold University College since April 2017. Her academic background includes a doctoral thesis on interdisciplinary collaboration in construction projects and prior research roles at Fafo. She teaches in the Master’s Programme in Organisation and Leadership, focusing on work organization, project collaboration, and organizational change. Her research emphasizes construction industry challenges, including subcontractor-main contractor relationships, Lean Construction methodologies, and digital transformation (e.g., BIM adoption). She has led projects like the DiVi initiative exploring new working methods in Viken County. Key themes include workflow optimization, knowledge creation in teams, and gender dynamics in vocational sectors. Publications span construction management, organizational change, and public sector leadership. Notable works include analyses of pandemic-era educational adaptations and remote work impacts. She contributes to research groups like Complex Connections: People, Places and Organisations (CC:PPO), addressing interdisciplinary and societal challenges. Education: PhD focused on construction project collaboration (2017), prior studies in social sciences. Grants/Projects: DiVi project, BIM implementation studies, NAV leadership analysis. Labs/Teams: CC:PPO research group, affiliated with Fafo Institute for Applied Social Science.

Michael Affenzellerمشاهده پروفایل

استاد

• Genetic Programming
• Symbolic Regression
• Evolutionary Algorithms
• +۶ مورد دیگر

Michael Affenzeller is a Professor at the University of Applied Sciences Upper Austria, leading the HEAL AIST Center of Excellence for Smart Production with a focus on Digital Transformation. His research spans Genetic Programming, Symbolic Regression, and Evolutionary Algorithms, with applications in optimization, AI, and manufacturing automation. He has authored over 400 publications and led major projects such as HCAI (Human-Centered AI) and HEAL, emphasizing interdisciplinary collaboration. Research interests include developing advanced algorithms for dynamic optimization, prescriptive analytics, and federated learning in industrial contexts. He has contributed to projects like LOISI (Logistics Optimization in Steel Industries) and SimGenOpt2, addressing challenges in production planning and workforce optimization. Key collaborations involve institutions in Austria and beyond, focusing on smart manufacturing, logistics, and AI integration. His work bridges theoretical advancements with real-world applications, driving innovation in energy systems, crane scheduling, and predictive maintenance. Grants and projects include funding from FWF (doc.funds.connect) and Upper Austrian initiatives, emphasizing doctoral training and industry partnerships. He actively participates in conferences such as EUROCAST and PPSN, contributing to algorithmic advancements and computational theory.

Usame Yakutcanمشاهده پروفایل

مدرس

• Discrete Event Simulation
• Healthcare Modelling
• Decision Support Systems
• +۵ مورد دیگر

Usame Yakutcan is a Lecturer in Operational Research at the Hertfordshire Business School, University of Hertfordshire. He holds a PhD in Operational Research, alongside a BSc in Industrial Engineering and an MSc in Engineering Management. As a Fellow of the Higher Education Academy (FHEA), he specializes in healthcare modeling, discrete event simulation, and decision support systems. His work focuses on improving patient flow and disease pathways for conditions like COPD, HIV, and CVD. Education: BSc Industrial Engineering MSc Engineering Management PhD in Operational Research Research Interests: Usame’s research integrates operational research techniques with healthcare challenges. He develops simulation models to optimize healthcare systems, evaluate mobile health interventions, and address health inequalities. Key areas include decision support systems, health economics, and public health policy. Projects: A Web-Based Decision Tool for Integrated Care (2024–2026): Focuses on enhancing integrated care systems through simulation-based tools. A Web-Based Tool to Enhance Social Value Measurement (2024–2026): Aims to improve social care and voluntary sector evaluations. Awards: Fellow of the Higher Education Academy (FHEA) Teaching & Engagement: Teaches Data Analytics, Computer Simulation, and Operational Research. Collaborates with organizations like the Operational Research Society and the Production and Operations Management Society. Labs/Teams: Member of the Business and Digital Research Group, contributing to interdisciplinary healthcare modeling projects.

Susan E. Smithمشاهده پروفایل

دانشیار

• Critical Care Pharmacy
• Fluid Stewardship
• Clinical Pharmacotherapy
• +۳ مورد دیگر

Susan E. Smith is an Associate Professor in the Department of Clinical and Administrative Pharmacy at the University of Georgia’s College of Pharmacy. Her research focuses on improving critical care pharmacy practice through optimizing fluid management, medication regimen complexity analysis, and pharmacist workflow efficiency. She is actively involved in advancing machine learning applications to predict outcomes like fluid overload and ICU complications. Dr. Smith also explores professional practice models, peer review systems, and mentorship programs in academic pharmacy. Her work emphasizes interdisciplinary collaboration, with studies examining ICU pharmacist-to-patient ratios, medication-driven mortality prediction, and the impact of pharmacist interventions on sepsis and fluid stewardship. She has contributed to national initiatives such as the MRC-ICU score and the OPTIM recruitment strategy case study. Dr. Smith’s educational interests include enhancing pharmacy student training through technology integration and critical care simulation. Key Research Themes: Fluid stewardship, ICU medication optimization, machine learning in healthcare, pharmacist practice models Affiliations: American Association of Colleges of Pharmacy, Critical Care PRN Advocacy Group Publications reflect her commitment to translating research into clinical practice, with recent work addressing antibiotic resistance patterns, vasopressor discontinuation protocols, and the role of albumin in ARDS patients. She has also evaluated the efficacy of subcutaneous insulin regimens and delabeling strategies for β-lactam allergies.

Fei Liuمشاهده پروفایل

دانشیار

• Organic Chemistry
• Chemical Proteomics
• Catalytic Reactions
• +۵ مورد دیگر

Fei Liu is an Associate Professor in the Department of Chemistry and Biomolecular Sciences at Macquarie University, Sydney. She holds a BSc in Chemistry from John Carroll University (2001) and a PhD in Organic Chemistry from Yale University (2004). Her postdoctoral training at Harvard Medical School focused on molecular medicine and biosynthetic approaches. She joined Macquarie University in 2004 and has since led research in synthetic methodology, chemical proteomics, and drug discovery. Research Interests: Her work spans asymmetric catalysis, isozyme-specific antagonist discovery, and protein post-translational modifications. She collaborates with the Australian Proteomics Analysis Facility (APAF) to advance systems proteomics. Key Projects: Current grants include projects on degrader technology for Amyotrophic Lateral Sclerosis (MND), high-throughput electron diffractometry, and AI-driven agricultural pest monitoring. She has led 35+ research projects since 2006. Lab & Team: The Liu Research Group includes PhD candidates, postdocs, and alumni who focus on organic synthesis, proteomic tools, and bioactive molecule development. The lab’s website provides further technical details and protocols.

• Visual Communication Design
• Wayfinding Systems
• Graphic Design
• +۳ مورد دیگر

Hanna Sitarz-Pietrzak is an Adjunct Professor and Dean of the Faculty of Design at the Academy of Fine Arts in Katowice. She specializes in visual communication, wayfinding systems, and design methodology. Her work bridges traditional craftsmanship with contemporary digital tools, emphasizing regional cultural heritage and user-centric design. Research Interests : - Wayfinding systems integration in architectural spaces - Diacritic typography for Central European languages - Ergonomics in healthcare and emergency environments - Digital preservation of regional artistic traditions - Multimedia art and audio-visual storytelling. Key Projects : - Designed award-winning signage for the Polish National Radio Symphony Orchestra building (2014 ED-Awards Bronze Medal) - Led interdisciplinary research on Silesian cultural patterns (published in international conferences) - Pioneered studies on paramedic workflow optimization in ambulances. Awards : ED-Awards 2014 Bronze Medal First Place in Śląska Rzecz 2014 (Applied Graphics) Festival Animator 2018 Special Award Grants & Collaborations : - Coordinated EU-funded projects documenting Silesian decorative heritage - Partnered with medical institutions for ambulance design improvements - Collaborated with Beijing University of Technology on multimedia education. Labs/Teams : - Multimedia Activities Studio (Katowice UNESCO City of Music initiatives) - Department of Visual Research and Interaction

Ge Gaoمشاهده پروفایل

استادیار

• Computer-supported cooperative work (CSCW)
• Computer-mediated communication (CMC)
• Human-centered computing (HCC)
• +۶ مورد دیگر

Ge Gao is an Assistant Professor at the University of Maryland's College of Information (INFO College). Her research focuses on the intersection of technology use and diversity in teamwork, employing mixed methods to design tools that enhance team communication and collaboration across contexts. She is available to advise PhD students and can be reached at gegao@umd.edu or via phone at 301-405-9518 in Hornbake Building (South Wing), Room 2123-A. Education: PhD in Communication from Cornell University (2017) MS in Psychology from Peking University (2010) BS in Psychology from Peking University (2007) Research Interests: Ge Gao's work centers on computer-supported cooperative work (CSCW), computer-mediated communication (CMC), human-centered computing (HCC), and multilingual/intercultural communication. She investigates how technology bridges linguistic and cultural divides in collaborative environments. Article Trends: Her recent publications (2025-2011) reveal a consistent focus on human-AI interaction, virtual reality social dynamics, multilingual collaboration tools, and the ethical implications of technology in professional and healthcare settings. Projects like "NatSGLD" and "CheXplain" highlight her contributions to robotics and medical AI transparency.

• Metabolomics
• Mass Spectrometry
• Gene Cluster Analysis
• +۳ مورد دیگر

Justin van der Hooft is an EPS Assistant Professor in Bioinformatics (BIF) at Wageningen University & Research. His research focuses on metabolomics, mass spectrometry, and computational approaches to natural product discovery. He leads efforts in gene cluster analysis, molecular networking, and AI-driven data integration. His work emphasizes open science and collaboration, as highlighted by the Lighthouse Award 2022 and contributions to tools like antiSMASH and MIBiG. Research interests include advancing computational methods for metabolite identification, optimizing mass spectrometry workflows, and leveraging AI for natural product discovery. Key projects involve linking biosynthetic gene clusters to metabolites, developing scalable data platforms, and exploring plant and microbial specialized metabolomes. Recent articles highlight advancements in mass spectrometry data patterns, AI integration, and community-driven curation of biosynthetic gene clusters. His contributions span over 130 publications, emphasizing metabolomics, gene cluster analysis, and computational biology. Advising: Co-promotor for PhD students in metabolomics, bioinformatics, and microbial ecology projects. Grants/Projects: Active in food safety analysis, natural product discovery, and integrative omics studies. Labs/Teams: Collaborates with global networks on antiSMASH, MIBiG, and molecular networking initiatives.

• Petroleum Geoscience
• Reservoir Engineering
• Seismic Data Analysis
• +۳ مورد دیگر

Asghar Shams is an Associate Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society, affiliated with the Institute for GeoEnergy Engineering. His research focuses on reservoir characterization, seismic data analysis, and application of artificial intelligence in petroleum engineering. He has extensive experience in carbonate reservoir modeling, fluid flow dynamics, and integration of geophysical data with reservoir engineering workflows. Research interests include reservoir simulation, production optimization, fracture network modeling, and machine learning applications. His work spans global basins like the Sirt Basin (Libya), Gulf of Mexico, and Middle East carbonate systems. He has published over 52 peer-reviewed articles and actively participates in international conferences such as SEG and EAGE. Professional activities include membership in committees at Imperial College London and Italy's Istituto Nazionale di Oceanografia e di Geofisica Sperimentale. His research emphasizes bridging geoscience and engineering through advanced computational methods.

• Burnishing
• Manufacturing Process Engineering
• 3D Printing
• +۲ مورد دیگر

José Antonio Travieso Rodríguez serves as a Professor in the Department of Mechanical Engineering at Universitat Politècnica de Catalunya · BarcelonaTech (UPC), where he maintains an active research profile with an h-index of 23.0. His work focuses on advancing manufacturing technologies through experimental and computational methodologies in high-precision industrial processes. Education: Industrial Engineer (Mechanical) Master in Manufacturing Processes and Part Reconditioning PhD in Industrial Engineering Research Interests: Professor Travieso Rodríguez specializes in surface integrity enhancement through burnishing techniques and vibration-assisted machining to reduce tool wear in difficult-to-cut materials. His work in additive manufacturing explores 3D printing of metallic components for aerospace applications, while his manufacturing process engineering research develops digital twins for sustainable production systems. Current projects emphasize Industry 4.0 integration in mechanical fabrication workflows. Research Groups: He leads the TECNOFAB Research Group (Technologies of Manufacturing) and co-directs DigiFACT (Advanced Digital Factory consortium) within the TECNIO network. These groups collaborate with industrial partners like SEAT and Airbus on vibration-based process optimization and digital reconditioning of critical components. Advising and Grants: While specific student names aren't listed in the source material, his research group supervises multiple doctoral candidates in manufacturing technologies. His grant portfolio includes competitive projects from the Spanish Ministry of Science (RTI2018-094506-B-C21) and EU Horizon 2020 initiatives focused on sustainable machining. Contact: Email: antonio.travieso@upc.edu