جست‌وجوی استاد و پژوهشگر

• Construction Management
• Human-Centered Project Management
• Wearable Sensors
• +۲ مورد دیگر

Lynn Shehab is an Assistant Professor in the Civil and Environmental Engineering Department at the University of Alberta's Faculty of Engineering. Her research and teaching focus on construction management, integrating human-centered design principles, wearable technologies, and simulation models to enhance project planning, control, and workforce well-being. Research Interests: Current work emphasizes Lean Construction 4.0, agent-based simulation for analyzing team dynamics, and the application of wearable sensors to bridge cognitive and physiological aspects of construction labor. She explores innovative metrics like the Last Planner System (LPS) for resource allocation and gamification to improve project control. Publications: Recent articles investigate chaos theory in project management, psychophysiological impacts on construction crews, and digital human modeling for workload estimation. Her studies span simulation frameworks, improvisation in planning, and post-disaster reconstruction strategies (e.g., Beirut port explosion case study). Courses: She teaches CIV E 406, which covers construction estimating, planning, and control, including risk analysis and bid preparation.

Sara Hamidiمشاهده پروفایل

استاد

• Marketing
• Brand Management
• Crisis Management
• +۳ مورد دیگر

Professor Sara Hamidi serves as a faculty member in the Department of Executive Management at Islamic Azad University, Tehran, Iran. Her academic profile centers on marketing expertise with specialized focus on brand crisis management, particularly examining how food safety scandals impact branding in developing societies. Her research interests encompass: Marketing Management and Brand Strategy Crisis Communication and Response Consumer Behavior in Scandal Contexts Social Apathy and Indifference in Branding Green and Sustainable Marketing International Marketing Applications Professor Hamidi's publication record shows concentrated output between 2020-2021, with 14 research works spanning brand crisis analysis, customer complaint handling, tourism economics during pandemics, and innovative business models. Her work demonstrates strong thematic consistency in examining marketing failures and recovery strategies, particularly through qualitative phenomenological approaches in developing economy contexts. She maintains active engagement with academic networks through ResearchGate (19,220 reads) and collaborates within institutional frameworks like Sibel A. Ozkan's Lab. Her professional activities include developing practical business guides on negotiation, mentoring, and trading methodologies alongside theoretical research contributions.

Gang Meiمشاهده پروفایل

دانشیار

• Numerical Simulation and Computational Modeling
• GPU Computing
• Machine Learning
• +۵ مورد دیگر

Dr. Gang Mei is an Associate Professor in Scientific Computing within the School of Engineering and Technology at China University of Geosciences (Beijing), where he has held academic positions since 2014. His career progression includes Postdoctoral Researcher (2014-2016), Lecturer (Oct-Dec 2016), and current Associate Professor (since Jan 2017). His research bridges computational science and engineering applications with significant editorial contributions to computer science literature. Education: Ph.D. in Computer Science, University of Freiburg, Germany (2014) Research Interests: Dr. Mei specializes in Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, and Data Mining, with strong applications in Network Science and Spatial Information Systems. His work integrates Distributed and Parallel Computing techniques for large-scale scientific simulations, particularly in geospatial modeling and network analysis. The research demonstrates consistent focus on computational efficiency through hardware acceleration and algorithmic optimization across diverse domains including satellite imagery processing, financial event detection, and medical image classification. Publication Trends: His editorial portfolio reveals strong interdisciplinary patterns connecting computer science fundamentals with domain-specific applications. Recent works emphasize GPU-accelerated methods for data-intensive problems (2020-2022), spatial-temporal modeling (2019-2020), and network science applications (2021). The publications consistently address computational scalability challenges while maintaining practical relevance across geospatial, financial, medical, and engineering contexts. Professional Recognition: As an IEEE Member, Dr. Mei serves on editorial boards for IEEE Access and PeerJ Computer Science, reflecting peer recognition in computational fields. His editorial contributions span 15+ publications demonstrating expertise in evaluating cutting-edge computer science research. Academic Service: Beyond editorial work, Dr. Mei's service includes advising on computational methodology across multiple disciplines. His role as Academic Editor demonstrates commitment to scholarly communication, particularly in bridging theoretical computer science with practical engineering applications. No grant funding details were specified in available materials.

• Artificial Intelligence
• Big Data
• Industry 4.0/5.0
• +۷ مورد دیگر

Dr. Nevin AYDIN serves as an Associate Professor at Artvin Coruh University's Faculty of Economics and Administrative Sciences, Department of Business Administration, where she has been employed since 2014 (initially as Assistant Professor until 2017). Her academic career spans over a decade with significant contributions to business administration, particularly at the intersection of technology and management. Her research interests focus on cutting-edge technological applications in business contexts, with particular expertise in Artificial Intelligence, Big Data analytics, Industry 4.0/5.0 transformations, Smart Cities development, Logistics optimization, and Wearable Technologies. Dr. AYDIN's work demonstrates a consistent pattern of exploring how emerging technologies transform traditional business sectors including food industry, healthcare, and urban management. Analysis of her recent publications reveals a strong emphasis on practical applications of digital transformation across multiple industries. Her work shows particular strength in connecting theoretical frameworks with real-world business challenges, especially in the Turkish and broader Eurasian context. The research demonstrates growing sophistication in methodological approaches, with increasing use of bibliometric analysis and interdisciplinary perspectives. Dr. AYDIN has authored numerous academic publications including books such as 'Pratik Yapay Zeka Uygulamaları 1' (2024) and 'İşletmelerde Yönetim Bilişim Sistemleri' (2023), along with over 50 conference papers and journal articles spanning from 2000 to 2024. Her scholarly output shows consistent productivity with a notable increase in publications since 2017. In her teaching capacity, Dr. AYDIN instructs courses including Production Systems, Logistics Management, System Analysis, Project Management, and E-Commerce. She has maintained an active academic presence through conference participation across multiple continents including Europe, Asia, and North America, demonstrating international scholarly engagement.

• Digital Marketing
• Entrepreneurship Education
• Information and Communication Technologies
• +۳ مورد دیگر

George Nathanael-Papageorgiou is Professor and Associate Dean at the School of Business Administration , European University of Cyprus, where he also heads the Department of Administration and Marketing . His research bridges digital transformation, entrepreneurship education, and sustainable business models, with active leadership in EU-funded projects like DIMAS (Digital Marketing) and ANGEL (Green Entrepreneurship). Education: Ph.D. in Systems Modeling & Simulation, City University London (1997) MBA, University of Kent (1994) B.Eng Mechanical Engineering (First Class Honors), City University London (1992) Laureate Certificate in Higher Education Teaching (2015) Research Focus: His work explores digital competency frameworks, ICT-driven retail innovation, and smart urban mobility systems. Recent studies emphasize interdisciplinary approaches to sustainability, customer-centric SME strategies, and pedagogical innovations in entrepreneurship education. Publications: Articles consistently address digitalization challenges across sectors—marketing, retail, energy, and transport—using empirical and modeling techniques to propose scalable solutions for businesses and cities. Awards & Grants: Best Paper Award, ICELTICS (2017) FH Russell Memorial Award for research excellence (1992) Multiple EU grants (Erasmus+, Horizon JPI) Leadership: Coordinates doctoral programs, leads international consortia (e.g., SPN Smart Pedestrian Network), and serves on standardization committees (CEN-ISO) and grant evaluation panels (EU Framework Programmes).

Marcos Estermanمشاهده پروفایل

استاد مدعو

• Product Development
• Process Development
• Systems Engineering
• +۵ مورد دیگر

Dr. Marcos Esterman serves as an Adjunct Professor in the Department of Industrial and Systems Engineering at the Rochester Institute of Technology (RIT), teaching in the Multi-Disciplinary Design, Manufacturing and Management Leadership, and Masters in Product Development programs. His academic leadership extends to directing the Printer Research and Image Systems Modeling (PRISM) laboratory and co-directing the Sustainable Print Systems Laboratories. His educational background includes: B.S. and M.S. in Mechanical Engineering from Massachusetts Institute of Technology Ph.D. in Mechanical Engineering from Stanford University Dr. Esterman's research program centers on structured product development methodologies with dual emphases on sustainable printing systems and print-as-manufacturing processes. His work integrates systems engineering frameworks with life cycle assessment to address environmental impacts in product design, while pioneering lean principles in product development management. The PRISM laboratory focuses on modeling printer and imaging systems to optimize product architecture decisions, with significant contributions to understanding electrophotographic 3D printing surface characteristics and defect mechanisms. Analysis of his publication record reveals a strategic evolution from foundational work on supply chain risk management toward cutting-edge research at the intersection of additive manufacturing, sustainability science, and cognitive design processes. His recent scholarship demonstrates increasing interdisciplinary integration, particularly in applying object-oriented life cycle assessment frameworks and exploring cognitive neuroscience mechanisms in design concept evaluation. His scientific recognition includes: DFMLC BEST PAPER AWARD for research presented at IDETC '12 Dr. Esterman's industry experience at Hewlett-Packard (where he contributed to Color LaserJet 8500/9500 development) and General Electric Medical Systems informs his practical research approach. His current projects include social impact initiatives such as deploying solar-powered 3D printers for aquaponics systems in Cali, Colombia, demonstrating applied technology transfer for community development. He maintains active research leadership through the PRISM laboratory and Sustainable Print Systems Laboratories, focusing on sustainable print technologies, additive manufacturing process optimization, and systems engineering applications in product development.