Find Academic Supervisors

• Strategic Management
• Eco-innovation
• Green Practices
• +2 more

Dr. Reda Abdelkareem is a Lecturer in Business Strategy at the Department of Marketing, Strategy and Innovation within Bournemouth University Business School and a member of the Centre for Sustainable Business Transformations. His educational qualifications include: PhD in Management Studies, Bangor University, UK (2019) MSc in Management Studies, Menoufia University, Egypt (2014) His research centers on strategic management, eco-innovation, and green practices in SMEs, investigating decision-making processes, sustainable business transformation, and environmental innovation. His work directly supports UN Sustainable Development Goals for Decent Work and Economic Growth (Goal 8), Industry Innovation and Infrastructure (Goal 9), and Climate Action (Goal 13). Recent publications (2023-2025) in journals like the Journal of Cleaner Production reveal consistent focus on eco-innovation drivers in manufacturing SMEs, environmental capability mediation, and sustainability integration in business education, demonstrating applied research addressing urgent climate and industrial challenges. His awards include: Outstanding Reviewer in the 2023 Emerald Literati Awards (Journal of Entrepreneurship in Emerging Economies) Dr. Abdelkareem teaches postgraduate modules Global Strategic Management and Business Strategy and Finance, and undergraduate module Global Strategic Marketing. He serves on editorial review boards for multiple academic journals and holds Associate Fellowship with the Higher Education Academy (2022). He actively collaborates within the Centre for Sustainable Business Transformations, contributing to interdisciplinary research projects advancing sustainable business models and organizational transformations.

Patrick DallasegaView profile

Associate Professor

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +7 more

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

Albert TreytlView profile

Researcher

• Communication Technologies
• Security
• Distributed Systems
• +4 more

Albert Treytl is a Senior Researcher at the Danube University Krems , serving as Head of the Center for Distributed Systems and Sensor Networks and Deputy Head of the Department for Integrated Sensor Systems. He holds a Master’s degree in Electrical Engineering from the Vienna University of Technology (2001) and has over two decades of experience in communication technologies and security. Current roles: Head of Center, Deputy Head of Department Research focus: Security for embedded systems, IoT, digital twins, AI in energy optimization Involvement: IEEE, CEN TC 247 WG4, IEEE1588 standardization His work addresses distributed data management, smart grid security, and model predictive control strategies for energy efficiency in buildings and traffic systems. He leads multiple national and international projects funded by FFG and EU programs. Recent research projects include KI4HVACS (AI-driven HVAC optimization), Factories4Renewables (industrial renewable energy integration), and Dataskop (sensor-based data economy). He has authored over 100 peer-reviewed publications and serves as co-lecturer at the Vienna University of Technology.

James TyboutView profile

Professor

• International Economics
• Development Economics
• Applied Micro Economics
• +3 more

James Tybout is a Professor of Economics at the Department of Economics, Pennsylvania State University. He holds a Ph.D. from the University of Wisconsin-Madison (1980). His research focuses on international trade dynamics, development economics, and industrial organization, with a particular emphasis on firm-level analysis in developing economies. Key themes include export behavior, trade policy impacts, and structural transformation in industries such as textiles, manufacturing, and retail sectors. His work explores topics like export market entry costs, learning effects in international trade, and the effects of multinational corporations such as Walmart on local suppliers. Notable studies include analyses of Colombian exporters, Mexican soap and detergent producers, and Bangladeshi apparel firms. His research also addresses credit constraints, fuel substitution in manufacturing, and the consistency of customs records across countries. Publications span over three decades, reflecting a sustained engagement with global trade patterns and firm-level responses to policy and market changes. Despite his prolific output, no specific awards or grants are listed in the provided text. His advisory roles and lab affiliations remain unspecified.

Guven Gurkan InanView profile

Assistant Professor

• Digital Transformation
• Manufacturing SMEs
• Organizational Capabilities
• +4 more

Dr. Guven Gurkan Inan is an Assistant Professor of Operations Management at Heriot-Watt University’s School of Social Sciences and Edinburgh Business School. His expertise lies in digital transformation, organizational capabilities, and sustainable manufacturing practices, particularly in SMEs. He holds a PhD in Management from Heriot-Watt University, an MSc in Logistics and Operations Management from Cardiff University, and a BSc in Industrial Engineering from Kocaeli University. His industry experience includes roles at Goodyear Rubber and Tyre as a Continuous Improvement Engineer. His research focuses on strengthening organizational capabilities in manufacturing SMEs through digitalization and sustainability. Key projects include the SMDH Manufacturing SME Audit Service (£156,000 grant), which bridges digital technology adoption with organizational performance. He has led over 20 SME visits in the UK, identifying Knowledge Transfer Partnership opportunities. Dr. Inan also collaborates on grants like an Innovate UK bid and the SMDH DIF Lighthouse project. He teaches courses such as Operations Management, Quality Management, and Managing Business Performance. His work contributes to UN SDGs related to Industry, Innovation, and Infrastructure. Recent publications emphasize Lean Industry 4.0, digital roadmap design, and low-cost digital solutions for micro-enterprises.

Shahrzad EsmaeiliView profile

Professor

• Metallic Biomaterials
• Phase Transformations
• Surface Modifications
• +7 more

Shahrzad Esmaeili is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. She holds a PhD in Materials Engineering from the University of British Columbia (2002), and master’s and bachelor’s degrees in Materials Science and Engineering from Shiraz University (1988, 1980). Her research focuses on processing-structure-property relationships in light alloys, metallic biomaterials, and additive manufacturing. She has expertise in phase transformations, surface modifications, and multi-length scale characterization. Notably, she received an Early Researcher Award from the Ontario Ministry of Research and Innovation. Her work bridges experimental and computational methods to study microstructural phenomena in aluminum and magnesium alloys. Recent publications emphasize non-isothermal annealing, precipitation hardening, and bio-structure fabrication. Education: PhD, Materials Engineering, University of British Columbia (2002) MSc, Materials Science and Engineering, Shiraz University (1988) BSc, Materials Science and Engineering, Shiraz University (1980) Research Interests: Her work integrates experimental and modeling approaches to study nanostructured materials, including metallic biomaterials and light alloys. Key areas include: Precipitation hardening mechanisms in Al-Mg-Si and Mg-Zn alloys Surface functionalization via laser-assisted deposition Additive manufacturing of porous titanium bio-structures Thermal-mechanical processing of aluminum composites Publications: Over 100 peer-reviewed articles span microstructural analysis, alloy behavior under thermal treatments, and biomedical applications. Recent trends focus on non-isothermal processing effects, microalloying strategies, and advanced surface modification techniques. Awards: Early Researcher Award (Ontario Ministry of Research and Innovation) Grants & Collaboration: Her research involves interdisciplinary collaborations, though specific grants are not detailed here. She leads studies on novel processing routes for high-performance alloys and biomaterials. Labs/Teams: Active in materials characterization and computational modeling groups at the University of Waterloo, focusing on multi-scale material analysis.

Lauri SaarinenView profile

Assistant Professor

• Supply Chain Management
• Operations Management
• Analytics
• +7 more

Lauri Saarinen is an Assistant Professor in the Department of Industrial Engineering and Management at Aalto University. He holds a Master's degree (2012) and Bachelor's degree (2010) in Engineering and Technology from Aalto University. His research focuses on supply chain resilience, operations management, and agile planning strategies, particularly in pandemic response and digitalization challenges in developing economies. He has contributed to over 18 peer-reviewed publications since 2016, emphasizing topics like grocery supply chain dynamics, food waste reduction, and volatility modeling. Key research interests include supply chain management, operations analytics, and responsiveness in manufacturing systems. His work intersects with healthcare operations, innovation, and sustainability, addressing global challenges such as pandemic disruptions and digital economy barriers in countries like Pakistan. Collaborations span international scholars and industry partners, reflected in multi-authored reviews and case studies. Media engagements highlight his expertise in pandemic supply chain adaptation, featured in articles discussing grocery sector resilience and food waste strategies. He has supervised three theses and actively participates in academic networks, contributing to conferences like EurOMA 2024.

Jens von WolfersdorfView profile

Professor

• Thermal Engineering
• Fluid Dynamics
• Aerospace Engineering
• +3 more

Jens von Wolfersdorf is a Professor at the University of Stuttgart's Faculty of Engineering, Department of Mechanical Engineering. His research focuses on advanced thermal management systems for high-speed aerospace applications, particularly in the areas of heat transfer, fluid dynamics, and combustion. He specializes in experimental and numerical methods for analyzing complex flows in rotating and stationary cooling channels, transpiration cooling for rocket engines, and turbulence modeling. His work integrates cutting-edge techniques such as thermochromic liquid crystal (TLC) measurements, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to validate novel cooling configurations. Key projects include the COOREFLEX-Turbo initiative and contributions to the European ATLLAS-II program for high-speed vehicle materials. Recent studies emphasize rotational heat transfer effects in two-pass cooling channels, additive manufacturing of ribbed cooling structures, and validation of coupled FEM-CFD frameworks. His research addresses challenges in aerospace thermal protection, turbine blade cooling, and scramjet combustor efficiency. Publications span over 15 years, with a focus on transient heat transfer, flow visualization, and material characterization for transpiration-cooled systems. Collaborations involve experimental facilities for high-speed flows and advanced thermal measurement systems.

Yang ZhaoView profile

Senior Lecturer

• Digital Transformation
• Business Model Design
• Digital Business Models
• +7 more

Yang Zhao is a Senior Lecturer in Digital Transformation and Business Intelligence at Aston Business School, Aston University. Her research focuses on digital business models, digital innovation, and their implications in healthcare and aging societies. She holds a PhD in Innovation and Entrepreneurship from the University of Glasgow and has prior roles at Loughborough University London and the University of Glasgow. Education: PhD in Innovation and Entrepreneurship, University of Glasgow (2011–2016) MSc in International Business and Entrepreneurship, University of Glasgow (2010–2011) Research Interests: Digital transformation, platform business models, healthcare digitalization, and digital divide mitigation. Her work bridges academic theory and industry practice through collaborations with healthcare providers, startups, and governments. Funding & Grants: Co-Investigator on a £7.1M NIHR/UKRI project to decarbonize healthcare systems (2024–2028) Innovate UK-funded KTP projects on virtual production (2024–2026) and eye-care business model innovation (2023–2025) Advising & Labs: Supervises PhD students exploring servitization in healthcare, transportation design, and digital innovation in SMEs. Affiliated with the Advanced Services Group and Centre for Health and Society at Aston.

Richard BilloView profile

Professor

• Advanced Manufacturing
• Industrial Information Systems
• Metallurgy
• +3 more

Dr. Richard Billo is a Distinguished Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology (Missouri S&T) and serves as the founding director of the Kummer Institute Center for Advanced Manufacturing and director of the Missouri Protoplex. His roles focus on advancing manufacturing research and economic development through collaborations with industry. He previously held leadership positions at the University of Notre Dame, University of Texas at Arlington, and Oregon State University, including roles as associate vice president for research and department head of Industrial and Manufacturing Engineering. Dr. Billo holds a Ph.D. in Industrial Engineering (Arizona State University, 1989), an M.S. in Industrial Engineering (Arizona State University, 1985), an M.S. in Psychology (University of the Pacific, 1985), and a B.S. in Psychology (West Virginia University, 1978). His research interests center on advanced manufacturing processes, industrial information systems, metallurgy, and liquid fuels production. Notable contributions include pioneering work on additive manufacturing thermal modeling, distortion prediction, and material characterization. He has authored over 100 research articles and holds five patents licensed to industry. Dr. Billo has been honored with the Outstanding Faculty Award and Whiteford Faculty Fellowship. His leadership extends to editorial roles for journals such as the Journal of Manufacturing Processes and Journal of Manufacturing Systems . His work bridges academic research with industrial applications, emphasizing sustainable manufacturing practices and technological innovation.

Hussein El-HajjView profile

Assistant Professor

• Stochastic Modeling
• Combinatorial Optimization
• Continuous Optimization
• +5 more

Hussein El-Hajj is an Assistant Professor of Information Systems & Analytics at the Leavey School of Business, Santa Clara University. His research focuses on stochastic modeling , optimization techniques , and data analytics applied to healthcare management , public health policy , and humanitarian logistics . Previously, he held a postdoctoral fellowship at the University of Waterloo and earned a Ph.D. in Operations Research from Virginia Tech. Primary Affiliation: Santa Clara University Academic Rank: Assistant Professor Teaching Focus: Business Analytics (MBA), Operations Management (Undergraduate) Research Interests His work develops mathematical models to solve real-world healthcare challenges, including: Healthcare Management: Optimizing clinician allocation and interpreter scheduling in hospitals Public Health Policy: Designing cost-effective newborn screening strategies under budget constraints Humanitarian Logistics: Dynamic pre-allocation of emergency supplies and government-private sector partnerships Stochastic Modeling: Addressing uncertainty in disease progression and testing demand Notable Contributions His research has been published in top-tier journals like Operations Research , Management Science , and Manufacturing & Service Operations Management , with a focus on equity and efficiency in genetic screening, pandemic response, and healthcare resource optimization. Scientific Recognition Pierskalla Award IISE Pritsker Doctoral Dissertation Award INFORMS Health Applications Society Best Student Paper Award Bonder Scholarship for Applied Operations Research in Health Services

David E. BreenView profile

Professor

• Biomedical Image Informatics
• Geometric Modeling
• Textile Modeling and Design
• +12 more

David E. Breen is a Professor in the Department of Computer Science within the College of Computing & Informatics (CCI) at Drexel University. He leads the Geometric Biomedical Computing Group and is affiliated with the Metadata Research Center and the Center for Biological Discovery from Big Data. His research spans interdisciplinary domains including biomedical image informatics, geometric modeling, textile modeling, and bio-inspired self-organization algorithms. Education: PhD, Computer and Systems Engineering, Rensselaer Polytechnic Institute MS, Computer and Systems Engineering, Rensselaer Polytechnic Institute BA, Physics, Colgate University His research interests focus on computational methods for biomedical applications, including shape and image analysis for cancer diagnosis, 3D reconstruction of biological tissues, and video analysis of animal behavior. He also investigates geometric modeling techniques for textiles and self-organizing systems. His work integrates computer science with biology, medicine, and engineering to solve complex problems in biomedical computing. The recent publications highlight a strong trend in computational modeling of textiles, biomedical image informatics, and AI-driven data analysis. Key themes include geometric modeling of knitted fabrics, deep learning for medical image classification, agent-based modeling of cancer metastasis, and metadata generation for biological image collections. His work bridges fundamental geometric algorithms with practical applications in healthcare and digital archives. Scientific Awards: No specific awards mentioned in the provided text. Breen has advised numerous students and collaborators across multiple domains, particularly in biomedical computing and textile modeling. His research has been supported through affiliations with major centers and collaborations with institutions such as Johns Hopkins University and the Max Planck Institute. He has been involved in projects related to NSF Center for Visual & Decision Informatics and has contributed to over 100 technical publications. He leads the Geometric Biomedical Computing Group , which conducts research at the intersection of biology, medicine, engineering, and computer science. The group develops algorithms and software for geometry-related computing problems in biomedical applications. Collaborations include the Drexel Integrated Laboratory for Cellular Tissue Engineering, Dr. Dan Marenda's Lab, and Dr. Aleister Saunder's Lab in Drexel's Biology Department.

Triratna MuneshwarView profile

Assistant Professor

• Materials for Semiconductor Devices
• Atomic Layer Deposition
• Atomic Layer Etching
• +7 more

Dr. Triratna Muneshwar is an Assistant Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay), where he has been serving since November 2021. His research focuses on advanced thin film deposition techniques, particularly atomic layer deposition (ALD) and atomic layer etching (ALE), for next-generation semiconductor devices. Ph.D. in Materials Engineering, University of Alberta, Canada (2014) Dual Degree (B.Tech & M.Tech) in Metallurgical Engineering and Materials Science, IIT Bombay (2009) His research interests lie at the intersection of materials science and semiconductor technology, with a strong emphasis on modeling and experimental analysis of vacuum thin film processes. He investigates atomic layer deposition of oxides, nitrides, and metals, surface reaction kinetics , dopant distribution in thin films , and parasitic reactions in high-aspect-ratio structures . His work bridges lab-scale innovation to industrial fabrication (Lab-to-Fab). Dr. Muneshwar's publications reveal a consistent focus on improving the precision, efficiency, and scalability of ALD processes. His work spans plasma-enhanced ALD , precursor chemistry , in-situ characterization , and numerical modeling of growth mechanisms. Key themes include precursor utilization optimization, nucleation control, and material characterization for logic and memory applications. Scientific recognitions include: Featured Article, Journal of Applied Physics (2016) Editors Pick, Journal of Applied Physics (2018) U.S. Patent on precursor utilization in pulsed ALD processes Dr. Muneshwar has mentored research at the postdoctoral and associate levels and continues to build a research program involving graduate students and collaborative projects. His prior experience includes a Postdoctoral Research Fellowship and Research Associate role at the University of Alberta. He is actively involved in advancing ALD/ALE technologies with industrial relevance. His research is conducted within the MEMS department at IIT Bombay, leveraging advanced fabrication and characterization facilities. He collaborates with teams working on semiconductor materials, nanofabrication, and process modeling, contributing to India's growing expertise in microelectronics and advanced materials.

Zhenzhou WangView profile

Research Fellow

• Composite Materials
• Cryogenic Material Testing
• Multi-objective Design Optimization
• +7 more

Dr. Zhenzhou Wang is a Research Fellow at the University of Southampton, affiliated with the CERN-STFC HL-LHC Project. His research focuses on lightweight materials for liquid hydrogen storage systems in aircraft and ships, composite material modeling, and AI-driven multi-objective optimization. He is a member of the Energy Technology Group and has held roles such as Guest Editor for Polymers (2021-2023). Notable achievements include receiving the Dean's Award (2024) twice. His work integrates analytical and numerical methods to address challenges in aerospace materials, cryogenic testing, and structural optimization. Recent studies include evaluating thermoplastic polymers for cryogenic sealing, thermal fatigue effects on composites, and deployable composite boom design frameworks. Collaborations involve researchers from institutions like CERN and industry partners. Affiliations: University of Southampton (CERN-STFC HL-LHC Project), Energy Technology Group Key Projects: Liquid hydrogen fuel storage systems, spacecraft lightweight materials, AI optimization algorithms Awards: Dean's Award (2024)

• Genetic Engineering
• Immunology
• Oncology
• +5 more

William A. Nyberg is an Assistant Professor at the Department of Medicine, Huddinge, Karolinska Institutet. His research focuses on the in vivo genetic modification of T cells for cancer treatment, utilizing chimeric antigen receptors (CARs), CRISPR/Cas9, and synthetic vectors like adeno-associated viruses (AAVs) and lipid nanoparticles (LNPs). The lab aims to eliminate time-consuming ex vivo manufacturing processes and enhance CAR-T cell efficacy in immunosuppressive tumor microenvironments. Assistant Professor, Department of Medicine, Huddinge (2024–2030) SciLifeLab Fellow (2024–2030) European Research Council grant recipient (2025–2029) Recruiting postdoctoral fellows, doctoral, and master's students His work intersects Genetic Engineering, Immunology, and Oncology, with key subfields including CAR-T cell therapy, CRISPR/Cas9, tumor microenvironment, and synthetic biology. Collaborative projects involve Yenan Bryceson's group and translational humanized/syngeneic mouse models. Scientific Awards: SciLifeLab Fellow (Karolinska Institute, 2024–2030) Advising: Julian Fischbach (Doctoral student)