جست‌وجوی استاد و پژوهشگر

Yu Zhangمشاهده پروفایل

مدرس

• Text Mining
• Information Management
• Social Computing
• +۱۲ مورد دیگر

Dr. Yu Zhang is a Lecturer of Data Science at the School of Business, UNSW Canberra. His academic career focuses on text mining, knowledge and information management, social computing, and bibliometric analysis, with interdisciplinary applications in areas such as sustainable logistics, supply chain management, and net-zero energy solutions. Fields of Interest: Text Mining, Information Management, Social Computing, Bibliometric Analysis, Machine Learning for Information Systems, Heterogeneous Network Analysis, Data Mining for Asset Management, Sustainable Logistics, Supply Chain Management, Net-zero Energy in Green Buildings, and Transportation. Grants: Served as CI in projects like "Online health monitoring in Li-ion batteries via trustworthy AI" (ACT Government, $1.22M) and "Delivering net-zero energy buildings" (TRaCE Lab to Market, $1.05M). Awards: Best Paper Award (Runner-up) at ADMA 2024 and Excellent Paper Award at ICEBE 2024. Teaching: Coordinated courses in Data Analytics, Workforce Planning Research, Business Capstone, and Logistics Intelligence with Big Data Analysis. Supervision: Guided research on topics like federated learning for healthcare fraud detection, blockchain-based carbon offset management, and tier-based supply chain visibility. His publications span materials science and photovoltaic technologies, with a focus on thin-film solar cells and defect passivation methods. For collaboration or supervision inquiries, contact him at m.yuzhang@unsw.edu.au .

• Soft Robotics
• Microfluidics
• Nanofabrication
• +۳ مورد دیگر

Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .

Jörg Müssigمشاهده پروفایل

استاد

• Composite Materials
• Natural Fiber Composites
• Sustainable Materials
• +۴ مورد دیگر

Prof. Dr.-Ing. Jörg Müssig serves as a Professor at Bremen University of Applied Sciences within Faculty 5 (Department 2), focusing on sustainable composite materials development. His research bridges engineering and environmental science through innovation in natural fiber applications for industrial use. His primary research domains encompass natural fiber composites, biobased materials, and sustainable material systems, with specialized expertise in flax, hemp, and nettle fiber reinforcement. He investigates mechanical properties, interfacial adhesion mechanisms, flame retardancy solutions, and processing techniques like injection molding and filament winding, emphasizing sustainability metrics and biomimetic design principles. Analysis of his 2024-2025 publications reveals dominant themes in natural fiber composite optimization, particularly regenerated cellulose systems and coupling agent-free interfaces. Emerging trends include consumer perception studies of biobased materials and integration of ecological parameters into industrial design processes, reflecting expanding interdisciplinary approaches. Prof. Müssig leads extensive grant-funded projects including edible mushroom mycelium composites (2024-2026), sulfur-based flame retardants (2024-2026), natural fiber sector market analysis across Europe (2024-2025), and marine durability studies (2024-2025), demonstrating sustained research leadership with significant industry and cross-institutional collaborations. His work operates within a robust research ecosystem at Bremen University of Applied Sciences, where his project portfolio indicates leadership of a specialized team focused on sustainable material innovation, though specific lab infrastructure details remain unmentioned in source materials.

Wai Kiong Oswald Chongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Engineering Systems
• Optimization
• +۱۰ مورد دیگر

Dr. Wai Kiong Oswald Chong is an Associate Professor at Arizona State University's School of Sustainable Engineering and the Built Environment, with a dual affiliation as Senior Global Futures Scientist at the Global Futures Scientists and Scholars program. He holds a PhD in Civil Engineering from the University of Texas-Austin, MSc and BSc in Building from the National University of Singapore, and focuses on integrating artificial intelligence with sustainable engineering systems. PhD (2005): Civil Engineering, University of Texas-Austin MSc (1999) & BSc (1997): National University of Singapore His research bridges lunar construction with Earth-bound sustainable systems, covering topics like: Space habitat modularization Resource circularity systems AI-enhanced building codes Climate-resilient infrastructure Advanced energy modeling Construction supply chain optimization Publications demonstrate consistent focus on: Semiconductor facility HVAC optimization Building energy consumption anomalies Life cycle assessment frameworks Construction risk management Deconstruction and material reuse AI-driven system modeling Current research projects include: Lunar MVI (Moon Village Initiative) Semiconductor fab design optimization Human-AI knowledge interfaces Thermal insulation systems for extreme environments Smart grid energy modeling

Sofia Kalakouمشاهده پروفایل

استادیار

• Urban Transport Planning
• Air Transport Management
• Technology Integration in Operations
• +۲ مورد دیگر

Sofia Kalakou is an Assistant Professor in the Department of Marketing, Operations and General Management at ISCTE Business School, where she teaches operations management across undergraduate, graduate, and postgraduate programs. She also serves as Director of the Industrial Management and Logistics degree program. Her research focuses on urban and air transport planning, technology integration in operations, sustainable practices, and performance evaluation. She coordinates four EU-funded projects on operations management and new technologies. Dr. Kalakou holds a doctorate and master’s in Transport Systems from ISCTE, a civil engineering diploma, and prior experience as a transport and mobility consultant. Her work bridges academic research with practical applications, addressing challenges like airport terminal optimization, drone delivery systems, and gender-sensitive mobility policies. She has published extensively on topics ranging from lean six sigma applications in telecom repair to SWOT analysis of Greek seaplane operations. Her funded projects emphasize sustainable transport solutions and capacity-building for local authorities implementing MaaS and smart mobility initiatives. Key contributions include frameworks for setting transport sustainability targets and analyzing passenger behavior in airports through activity-based modeling.

• Operations Research
• Management Science
• Mathematical Programming
• +۱۳ مورد دیگر

Benjamin Lev is a Professor in the Department of Decision Sciences and Management Information Systems (DS&MIS) at the LeBow College of Business, Drexel University. He previously served as Trustee Professor (2014–2021) and Department Head (2009–2014) at Drexel. His academic leadership extends to prior roles as Professor, Department Head, and Dean at the University of Michigan-Dearborn (1990–2009), Professor and Department Head at Worcester Polytechnic Institute (1987–1990), and Professor and Department Head at Temple University (1970–1987). He has held short appointments at institutions in China and the U.S., including the Wharton School and Tel Aviv University. Lev’s research spans Operations Research, Management Science, and Decision Sciences , with expertise in mathematical programming, operations planning, inventory control, supply chain management, and optimization under uncertainty. His recent work focuses on applications in disaster management, sustainable supply chains, AI in operations, water resource allocation, and emergency logistics. He has published over 150 journal articles and authored or edited 18 books, with a strong emphasis on real-world problem-solving using quantitative methods. The trends in his recent publications (2022–2025) reflect a focus on complex optimization under uncertainty , particularly in humanitarian logistics, environmental sustainability, and digital commerce. His work frequently employs advanced methodologies such as bi-level programming, stochastic optimization, fuzzy logic, and data envelopment analysis (DEA), often applied to critical societal challenges like disaster response, air pollution, and resource scarcity. Lev is an INFORMS Fellow (2003) and has received several honors, including the 2023 Top Cited Article award in Naval Research Logistics and the 2023 First Prize from the Jiangxi Province Social Science Outstanding Achievement Award. His editorial leadership is most notably demonstrated by his 23-year tenure as Editor-in-Chief (2002–2025) of OMEGA – The International Journal of Management Science , one of the premier journals in the field. He has advised numerous scholars and presented his work globally, particularly on his experience as EiC of OMEGA . He has been actively involved in academic collaborations, especially in China, serving on advisory boards and as an external reviewer for institutions like Sichuan University. He has also received significant grant funding from the U.S. National Institutes of Health, U.S. Public Health Service, and U.S. Air Force for research in medical information systems and operations research applications. Lev has been instrumental in organizing major international conferences and has served on the editorial boards of over 20 journals, including Interfaces, IIE Transactions, OR Journal, and Financial Innovation . His role as Vice President of TIMS and INFORMS further underscores his leadership in the global operations research community.

• Information and Knowledge Management
• Product Configuration Systems
• Supply Chain Management
• +۵ مورد دیگر

Anders Haug serves as Associate Professor at the Department of Business and Sustainability (DBS) within the University of Southern Denmark's Kolding campus. Having joined the university in 2008 as Assistant Professor in the Department of Entrepreneurship and Relationship Management before transitioning to his current role in 2010, his academic career spans over 15 years of research and teaching in operations, supply chain, and digital transformation contexts. His work bridges theoretical rigor with practical industry applications, particularly in engineer-to-order manufacturing and logistics sectors. Education: PhD in communication, representation and automation of design knowledge (2005-2007) Haug's research centers on information and knowledge management systems, with deep expertise in data quality frameworks, knowledge-based configuration, and digitalization of business processes. His fingerprint reveals distinctive contributions to product configuration systems, digital twin applications, and supply chain resilience—particularly examining how configurators transform warehouse services, manufacturing processes, and product-service ecosystems. Recent work increasingly addresses sustainability through green dynamic capabilities frameworks and life cycle assessment tools, maintaining strong empirical grounding via case studies in Danish manufacturing. Analysis of his 2024-2025 publications shows converging trends: digital technologies (configurators, digital twins) are examined through operational performance lenses while addressing sustainability imperatives. These works span operations management, information systems, and strategic management disciplines but consistently prioritize practical implementation frameworks for manufacturing SMEs. The research demonstrates methodological diversity—from conceptual modeling to empirical case studies—with strong industry relevance in logistics, engineering-to-order contexts, and manufacturing digitization. Scientific Awards: Top read paper in Business 2017/18 (Wiley) (2019) Haug has supervised 34 teaching courses between 2018-2024 covering business information systems, digitalization projects, and supply chain management. His academic service includes extensive peer reviewing for conferences like NOFOMA and DRS, plus organizational roles in Nordic business research networks. While specific grant details aren't provided, his 175+ research outputs and industry collaborations (evidenced by consultant work since 2006) indicate substantial research funding engagement. Media contributions on 3D printing and business process efficiency demonstrate effective knowledge transfer to practitioners. Though no dedicated research lab is specified, Haug's extensive co-authorship network—including collaborations on projects like digital twin implementation and configurator development—reveals embeddedness in multiple research collectives. His industry-facing approach manifests through case studies with logistics providers, manufacturer partnerships, and practical frameworks for warehouse service design and supply chain resilience.

Amitabh Mishraمشاهده پروفایل

استاد مدعو

• Computer-Communication Networks
• Wireless Networks
• Network Security
• +۵ مورد دیگر

Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

Cuihong Liمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Procurement and Sourcing
• +۳ مورد دیگر

Cuihong Li serves as Professor and Department Head of Operations and Information Management at the University of Connecticut School of Business, holding the distinguished Robert Cizik Chair in Manufacturing & Technology Management. She previously co-directed the interdisciplinary Management and Engineering for Manufacturing (MEM) Program, a collaboration between the School of Business and School of Engineering. Her academic credentials include: Ph.D. in Management of Manufacturing and Automation from Carnegie Mellon University's Tepper School of Business (joint program with Robotics Institute) M.S. in Automation and Systems Engineering from Tsinghua University, China B.S. in Automation and Systems Engineering from Tsinghua University, China Professor Li's research centers on operations and supply chain management, with particular emphasis on strategic interactions across supply chains that intersect economics, marketing, and information technology. Current investigations focus on procurement strategies, supplier and consumer behavior dynamics, and Industry 4.0 operational transformations. Her work addresses critical challenges in modern supply chain design through rigorous analytical modeling. Analysis of her publication record (2009-2022) reveals consistent contributions to supplier competition frameworks, cost reduction mechanisms under information asymmetry, quality management systems, and service operations innovation. Key methodological approaches include game theory, contract design, and empirical analysis of strategic sourcing decisions. Professional honors include: Robert Cizik Chair in Manufacturing & Technology Management Academic service encompasses editorial roles as Associate Editor for Manufacturing and Service Operations Management , Production and Operations Management , and Decision Support Systems . She teaches core operations management and business decision modeling across undergraduate, MBA, and master's programs, demonstrating commitment to integrated business education. Her leadership in the MEM Program established a unique platform for cross-disciplinary collaboration between business and engineering disciplines, preparing students for manufacturing leadership roles through combined technical and managerial training.

• Statistical Analysis
• Stochastic Processes
• Applied Statistics
• +۸ مورد دیگر

Prof. Dr. Kumru Didem Atalay is a distinguished academic at Başkent University, specializing in Industrial Engineering . With a PhD in Statistics from Ankara University (2007), she has made significant contributions to Operations Research , Fuzzy Logic , and Decision Support Systems . Her work bridges statistical analysis with real-world applications in healthcare logistics, pandemic response, and manufacturing optimization. Education: PhD (2007), MS (2000), BS (1998) in Statistics from Ankara University Current Role: Professor in Industrial Engineering at Başkent University Her research focuses on stochastic processes , fuzzy modeling , and healthcare operations , particularly in pandemic-era service quality and microchannel manufacturing. She has developed innovative methods for project scheduling , risk analysis , and multi-criteria decision-making . Recent publications examine Covid-19's impact on education quality and fuzzy linear programming for project scheduling . She applies intuitionistic fuzzy models to optimize manufacturing systems and hesitant fuzzy regression for pandemic death count estimation. Scientific recognition includes a Runner-up Prize at the 15th ICMSEM (2021) and a Bronze Medal at ISIF21 (1970). She supervises advanced research on topics like multi-trip home healthcare routing and fuzzy quality function deployment .

Johannes Wolfمشاهده پروفایل

استاد

• Business Administration
• Logistics Management
• Supply Chain Management
• +۴ مورد دیگر

Prof. Dr. Johannes Wolf is a Professor of Business Administration (Dual Study Program) at the Hamburg Distance Learning University (since 2012) and previously served as Chancellor of the university (2013–2020). He also held roles as Professor of Logistics Management and (Founding) Dean of the Logistics Management Department at the European University of Applied Sciences (EUFH) in Brühl. His career includes over 30 years of academic and professional experience in logistics, supply chain management, and business systems. Education: Johannes Wolf holds a doctorate in Business Administration from Fernuniversität Hagen (1986) with a thesis on industrial energy use and production planning, following a degree in Business Administration from the University of Cologne. Research interests focus on logistics management, supply chain optimization, ERP system implementation, dual study programs, and educational frameworks for business and logistics disciplines. He has contributed to over 50 publications, including handbooks and peer-reviewed articles on topics like IT systems in logistics, risk management, and competency development. He is a member of the Federal Association of Logistics (BVL) and the German Informatics Society (GI), and has served as an external expert for institutional accreditation reviews by the German Science Council. Key professional roles include management consultancy work (1993–2003) and early career roles in organizational controlling and energy procurement in industry.

Yanni Pingمشاهده پروفایل

دانشیار

• E-commerce Analytics
• Machine Learning Applications in Business
• Operations Management
• +۳ مورد دیگر

Dr. Yanni Ping is an Associate Professor in the Business Analytics & Information Systems Department at St. John's University's Peter J. Tobin College of Business. She holds a Ph.D. in Decision Sciences from Drexel University, an MS in Industrial Engineering from Georgia Tech, and a BS in Material Science and Engineering from Shanghai Jiao Tong University. Her research focuses on E-commerce analytics , leveraging machine learning, econometrics, and large language models to address service and operational challenges. Key themes include recommender systems, content creator performance, and KOL influence analysis. She also explores supply chain coordination mechanisms and disaster preparedness strategies. Teaching responsibilities include courses like Machine Learning for Business, Text Analytics, and Prescriptive Analytics. Dr. Ping currently serves as Associate Editor for Electronic Commerce Research and has published in journals such as Journal of Services Marketing and Electronic Commerce Research and Applications . Her work bridges marketing, operations, and data science with a focus on real-world business applications. Recent publications analyze user engagement in recommender systems, the impact of peer influence on video game adoption, and the moderating effects of pandemic attitudes on brand loyalty. Her research combines rigorous quantitative methods with practical industry insights. Dr. Ping's academic journey includes interdisciplinary collaborations across business analytics, operations management, and digital marketing. She actively contributes to global scholarly networks through conference presentations and editorial work.

Gaurav Nandaمشاهده پروفایل

استادیار

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +۴ مورد دیگر

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

• Spatial Databases
• Geoinformatics
• Internet of Things (IoT)
• +۵ مورد دیگر

Anastasios Zafeiropoulos serves as Assistant Professor at Harokopio University of Athens, specializing in Spatial Data Management and Analysis within the Postgraduate Studies Program for “Applied Geography and Spatial Management” (Direction C: Geoinformatics). His academic role encompasses teaching “Spatial Databases” and advancing research at the intersection of geospatial technologies and distributed computing systems. His research program focuses on Spatial Databases, Internet of Things (IoT), Cloud/Edge Computing, and 6G Network Orchestration, with significant extensions into Knowledge Graph applications for Sustainable Development Goals (SDGs) and socio-emotional learning in education. Key innovations include the EduCardia methodology for student competency assessment and frameworks for climate vulnerability analysis using knowledge graphs. Analysis of his 2024-2025 publications reveals three dominant thrusts: (1) AI-driven orchestration of 6G services across the computing continuum using reinforcement learning; (2) Knowledge Graph applications for SDG interlinkage analysis and materials science; (3) EU-funded IoT/Edge Computing project ecosystems. His work consistently bridges theoretical networking concepts with practical sustainability and educational applications. Dr. Zafeiropoulos actively contributes to EU-funded initiatives in IoT and Edge Computing standardization, particularly through AIOTI WG Standardisation. His project portfolio includes NEPHELE multi-cloud ecosystem development and O-RAN slice admission control research, demonstrating strong industry-academia collaboration in next-generation networking. He leads the development of innovative tools including Palindrome.js for distributed system visualization and the EmoSocio open-access emotional intelligence model, reflecting his commitment to translating research into practical educational and environmental solutions.