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William YoungView profile

Professor

• Operations Management
• Operations Research
• Predictive Analytics
• +7 more

Dr. William A. Young II is the Charles G. O’Bleness Full Professor of Business Analytics at Ohio University’s College of Business, specializing in the Department of Analytics and Information Systems. He holds a Ph.D. (2010), M.S. (2005), and B.S. (2002) in Electrical and Systems Engineering from Ohio University. His research focuses on operations management, predictive analytics, and decision support systems, with notable work in supply chain optimization, healthcare analytics, and educational technology. Education: Ph.D., Mechanical and Systems Engineering, Ohio University (2010) M.S., Electrical Engineering, Ohio University (2005) B.S., Electrical Engineering, Ohio University (2002) Research Interests: Dr. Young’s work bridges operations research and business analytics, emphasizing practical applications in logistics, healthcare, and education. His studies often employ artificial neural networks and optimization algorithms to address real-world challenges such as inventory management, energy efficiency, and student success prediction. Recent projects include viral marketing incentive models and pandemic risk mitigation in warehouse operations. Publications: His 100+ articles span journals like *European Journal of Operational Research*, *Applied Soft Computing*, and *Expert Systems with Applications*. Key themes include multi-objective optimization, predictive modeling, and decision support systems for complex systems. Awards: 2023 Faculty Excellence Award for Teaching and Learning 2020 University Professor Award Multiple College of Business Research Awards (2017, 2018) 2015 Cincinnati-Dayton Outstanding Young OR/MS Award Grants & Collaborations: He has secured funding from organizations like the National Science Foundation and General Electric Aviation. His interdisciplinary teams address challenges in manufacturing, environmental systems, and educational technologies. Labs & Initiatives: Leads Ohio University’s analytics research efforts, collaborating with industry partners to develop innovative solutions in supply chain, healthcare, and education. His work often integrates artificial intelligence with domain-specific knowledge extraction techniques.

• Machine Learning
• Optimization Algorithms
• Data Security
• +4 more

Mahmoud Bekhit is a Lecturer at the Peter Faber Business School within the Faculty of Law and Business. His research focuses on machine learning applications in optimization, IoT systems, and data security. He specializes in predictive modeling for transportation systems, real-time video transmission, and network function virtualization. His work addresses challenges in healthcare technology, structural health monitoring, and financial sector innovations. Key research interests include optimization algorithms (e.g., genetic algorithms, jellyfish search), ensemble learning techniques, and transfer learning for cross-domain problems. He has contributed to projects such as bike-sharing demand forecasting, surgical tele-education systems, and energy-efficient IoT protocols. Bekhit has published 15+ peer-reviewed articles in journals like Mathematical Biosciences and Engineering and IEEE Access , with additional conference contributions. His work spans interdisciplinary domains including sports science (karate performance analysis), marine data prediction, and financial technology surveys. Notable collaborations involve teams addressing VNF resource allocation, hybrid cloud security for healthcare, and AI-driven fraud detection. His research emphasizes practical solutions for industry challenges through data-driven methodologies.

Jan HayesView profile

Professor

• Organizational Safety
• Disaster Causation and Prevention
• Risk Management
• +9 more

Professor Jan Hayes is a renowned safety and risk management expert at RMIT University’s School of PCPM. With 30+ years of experience, her work focuses on organizational accident prevention across energy, chemicals, nuclear, and aviation sectors. She currently serves as Program Leader for Future Fuels CRC and Board Safety Assurance Adviser for Airservices Australia. Hayes combines academia with part-time consulting for safety improvement projects, emphasizing decision-making, safety design, and regulation. Her research explores disaster causation, professionalism, and story-based learning applications. She has held leadership roles in consulting firms and regulatory bodies, including NOPSEMA’s Advisory Board. Key contributions include cross-industry safety frameworks, regulatory policy analysis, and educational methodologies for risk mitigation. Her recent work addresses low-carbon energy transitions and AI integration in safety systems. Research interests span sociology, urban planning, and public health, reflecting her holistic approach to systemic risk. Notable projects include evaluating gas infrastructure policies, analyzing procurement cycle risks, and assessing hydrogen upskilling programs for trades. Hayes frequently speaks at international industry forums and collaborates on cross-cultural safety governance comparisons between Australia and France. Grant-funded projects include investigations into contractor safety in multi-tiered systems, maintenance schedule effectiveness, and incident reporting systems as collective knowledge tools. Her advisory role encompasses 3 active PhD/Masters projects focusing on engineering standards belief, mining vehicle safety, and gender equity in construction careers. Hayes advocates for transparent organizational learning, emphasizing historical accident analysis to prevent future disasters. Current initiatives include exploring regulatory conflicts in gas infrastructure and developing safety performance indicators for air ambulance services.

Rosina M. GeorgiadisView profile

Associate Professor

• Biomolecular Binding
• Surface Chemistry
• Analytical Chemistry
• +4 more

Rosina M. Georgiadis is an Associate Professor in the Department of Chemistry at Boston University. Her research focuses on developing experimental tools to characterize biomolecular binding at surfaces and in solution, employing techniques such as surface plasmon resonance (SPR) spectroscopy, surface acoustic wave (SAW) sensing, and microscale thermophoresis (MST). She also investigates electronic structure at electrochemical interfaces using non-linear optics. Prof. Georgiadis is renowned for her innovative teaching methods, including the development of cloud-enabled lab courses that allow student access to instrument software from anywhere. This approach was recognized with the 2019 Gerald and Deanne Gitner Family Award for Innovation in Teaching with Technology. Her educational contributions include pioneering the CH303 advanced instrumental methods course and integrating virtual machines for lab instruction. These innovations were highlighted in Chemical & Engineering News (2017) and Analytical and Bioanalytical Chemistry (2018). She holds a B.S. in Chemistry (with Honors) from Indiana University (1982) and a Ph.D. in Physical Chemistry from the University of California, Berkeley (1988). Research interests span biomolecular dynamics, nanoparticle interactions, and surface chemistry. Her work bridges fundamental science with practical applications in diagnostics and instrumentation. She is currently scaling her cloud-based teaching model to other disciplines and institutions, emphasizing accessibility and equity in STEM education. Awards include the Gitner Award (2019) and recognition at Boston University’s Celebration of Teaching, Research, and Scholarship. Her lab, the Georgiadis Group, collaborates on interdisciplinary projects involving bioanalytical methods and educational technology.

• Real-time Systems
• Operating Systems
• Information Theory
• +3 more

Dr. Carlos A. Rincon C. is an Instructional Assistant Professor in the Computer Science Department at the University of Houston. His research focuses on real-time systems, operating systems, information theory applications to scheduling, and storage systems. He holds a PhD in Computer Science from the University of Houston and has industry experience in software development prior to his academic career. Current research projects include optimizing probabilistic compression algorithms based on symbol position, developing machine learning models for disk failure prediction in heterogeneous environments, and applying information theory principles to real-time multiprocessor scheduling. His work bridges theoretical computer science with practical system optimization challenges. Dr. Rincon teaches core computer science courses including Operating Systems (COSC 3360) and Introduction to Programming (COSC 1437), with learning objectives centered on foundational concepts in system design, process management, memory management, and object-oriented programming principles. As Director of the ConocoPhillips Computer Science Learning Center, he oversees academic support programs and resources for computer science students. His pedagogical approach emphasizes algorithmic thinking and practical problem-solving skills development.

Eric PinsonView profile

Professor

• Combinatorial Optimization
• Scheduling Theory
• Transport Logistics
• +3 more

Eric Pinson is a Professor at the University of Angers (UCO) within the Faculty of Sciences. He holds an HDR (Accreditation to Supervise Research) from Université Pierre et Marie Curie (Paris VI) since 1994 and a PhD in Computer Science and Applied Mathematics from the same institution in 1988. He leads the LigéRO regional project (Loire Operational Research Group) and is an integrated member of LARIS (Angevin Research Laboratory in Systems Engineering), part of team EA-7315. Education: PhD in Computer Science and Applied Mathematics, Université Paris VI, 1988 HDR in Research Supervision, Université Paris VI, 1994 Research Interests: His work focuses on Combinatorial Optimization , particularly in scheduling theory and transport logistics. Key areas include algorithm development for scheduling problems (job-shop, flow-shop, maintenance planning), resource allocation in production systems, and optimization under constraints such as human resource limitations and energy considerations. His contributions span theoretical advancements and practical applications in renewable energy maintenance (e.g., wind turbines) and industrial logistics. Publications Trends: Recent work emphasizes algorithmic efficiency (O(n²) scheduling adjustments, energy function management) and industrial applications (wind farm maintenance, multi-skill project scheduling). Earlier publications established foundational scheduling algorithms and constraint-based optimization techniques. Scientific Awards: No specific awards listed, though his sustained contributions indicate significant recognition within the operations research community. Advising & Grants: Supervised at least one PhD student (Aurélien Froger, 2012–2016). Involved in collaborative projects including the DC-GNN program for real-world data clustering using graph neural networks. Labs & Teams: Primary affiliations include LARIS (Systems Engineering) and the LigéRO network, fostering regional operational research collaboration.

Gulesin Sena DasView profile

Lecturer

• Circular Economy and Sustainable Supply Chains
• Mathematical Modeling for Sustainable Production
• Multi-objective Modelling
• +7 more

Dr. Gulesin Sena Das is a Lecturer in Supply Chain Management at De Montfort University, affiliated with the Faculty of Business and Law and based in the School of Leadership, Management and Marketing. Her work bridges operations research, artificial intelligence, and sustainable supply chain systems, focusing on real-world industrial applications. Her research interests include: Circular Economy and Sustainable Supply Chains Mathematical Modeling for Sustainable Production Multi-objective Modelling Green Supply Chain Management Logistics and Transportation Management Sustainable Aviation Combinatorial Optimization Dr. Das's recent publications reflect a strong trend in applying advanced optimization techniques—particularly stochastic, bi-objective, and column generation methods—to complex logistical and industrial problems such as airport gate assignment, satellite design, industrial symbiosis networks, and team formation. Her work integrates sustainability goals with operational efficiency, often leveraging AI and mathematical programming frameworks. She actively supervises MSc and PhD students and welcomes research proposals in sustainability-driven supply chain modeling. She also serves as a reviewer for top-tier journals including Omega , Applied Soft Computing , and IEEE Transactions on Systems, Man, and Cybernetics: Systems . Teaching areas include Supply Chain Management, Project Management, Management Information Systems, and Sustainable Aviation.

Josep Lluís Berral GarcíaView profile

Associate Professor

• Artificial Intelligence
• Cloud Computing
• Deep Learning
• +4 more

Josep Lluís Berral García is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia · BarcelonaTech (UPC). He is actively engaged in teaching and research, with a strong focus on Artificial Intelligence, Cloud Computing, and sustainable computing practices. He leads innovative educational initiatives and is affiliated with the CROMAI research group and the Barcelona Supercomputing Center (BSC-CNS). Research Interests: Artificial Intelligence and Deep Learning Cloud and High-Performance Computing Resource Orchestration and Management Sustainable and Ethical AI AI Education and Pedagogy His recent research and teaching projects center on integrating sustainability and ethical responsibility into AI education, using active learning methodologies. The trend in his work shows a consistent focus on optimizing computing resources through AI, particularly in cloud and HPC environments, with increasing emphasis on environmental impact and responsible innovation. Scientific Awards: UPC Award for Quality in University Teaching 2025 (Teaching Initiative for Newly Recruited Professors) Advising and Grants: While specific students are not listed, his leadership in competitive R&D+i projects and innovation initiatives indicates active supervision and grant-funded research. His involvement in multiple competitive and non-competitive R&D projects demonstrates sustained funding and research leadership. Labs and Teams: He is a key member of the CROMAI (Computing Resources Orchestration and Management for AI) research group at UPC and maintains a strong collaborative link with the Barcelona Supercomputing Center (BSC-CNS), leveraging the MareNostrum supercomputing infrastructure for AI and systems research.

• Project and Construction Management
• Digital Construction Technologies
• Building Economics
• +4 more

Assoc. Prof. Dr. Fatma Pınar Çakmak serves as an Associate Professor in the Department of Architecture at Istanbul Technical University's Faculty of Architecture. With a PhD in Building Sciences (2008-2014) and a Master's in Project Production and Management (2005-2008), she specializes in Project and Construction Management. She has held administrative roles including Program Head (2022-present) and Erasmus Coordinator (2019). Her research spans construction disputes, digital construction technologies, building economics, and gender-based discrimination in the construction industry. She has published extensively in journals like Construction Economics and Building and Smart and Sustainable Built Environment . Her work emphasizes practical applications of BIM, digital twins, and competency frameworks for construction professionals. Most Successful Thesis Award (2014, Istanbul Technical University) Member of Construction Law Association, Istanbul Chamber of Architects, and CIB W113/W78 committees Contact: irlayici@itu.edu.tr | Phone: 90-212-2931300 | Office: Taşkışla Campus, Istanbul

• Operational Research
• Stochastic Modeling
• Queueing Theory
• +7 more

Professor Paul Harper is a distinguished academic in the School of Mathematics at Cardiff University, where he holds the position of Professor of Operational Research. With over 110 peer-reviewed publications and £18 million in funded research grants as a named investigator, he has established himself as a leading expert in applying mathematical methods to healthcare systems. He is also a founding editor-in-chief of the international journal Health Systems (Taylor & Francis) and has successfully supervised 22 PhD students to completion. Harper's research focuses on stochastic Operational Research, including queueing theory, simulation methods, optimization, and game theory, with particular applications to healthcare systems. His work spans mathematical modeling of healthcare resources, disease prevention and detection, and machine learning approaches to improve healthcare delivery. His research has significant practical impact, as evidenced by his REF2021 sub-panel membership for Mathematical Sciences and numerous awards recognizing his contributions to the field. Professor Harper's extensive publication record demonstrates consistent contributions across multiple domains of healthcare operations research. His recent work shows a strong trend toward applying advanced modeling techniques to emergency and urgent care services, elderly patient care, and resource allocation challenges in diverse healthcare settings including dental care and mental health services. His research increasingly integrates behavioral aspects with traditional operations research methods to create more realistic and effective models. Among his notable achievements are being elected as a Fellow of the Learned Society of Wales (FLSW), receiving the Companion of OR Award and the Lyn Thomas Impact Medal from The OR Society, and a Times Higher Education award for 'Outstanding Contribution to Innovation and Technology.' His research has been instrumental in informing national health policy and transforming healthcare delivery through mathematical modeling. As a dedicated educator and mentor, Professor Harper has supervised 22 PhD students to successful completion and has been actively involved in postgraduate supervision. His research grants totaling £18 million have supported numerous projects addressing critical challenges in healthcare delivery, resource planning, and service optimization across various medical specialties. Professor Harper leads research in the Operational Research group at Cardiff University, focusing on applying quantitative methods to solve complex healthcare challenges. His work bridges theoretical operations research with practical healthcare applications, creating impactful solutions for real-world problems in healthcare systems worldwide.

• Remote sensing
• Evapotranspiration
• Hydrologic modeling
• +12 more

Dr. Justin Huntington is a Research Professor of Hydrology at the Desert Research Institute (DRI) in Reno, Nevada, with a joint affiliation in the Graduate Program of Hydrologic Sciences at the University of Nevada Reno. His work focuses on remote sensing applications for water resource management, particularly in arid and semi-arid regions of the western United States. Education: Ph.D. in Hydrologic Sciences, University of Nevada Reno (2011) M.S. in Hydrologic Sciences, University of Nevada Reno (2003) B.S. in Environmental Sciences/Hydrology, University of Nevada Reno (2000) Huntington's research spans remote sensing, evapotranspiration, irrigation, drought, hydrologic modeling, and groundwater-dependent ecosystems. He develops operational tools using satellite data (particularly Landsat) and cloud computing platforms like Climate Engine to translate scientific findings into water management applications. His work emphasizes stakeholder engagement to address real-world challenges in water rights, climate change impacts, and consumptive use estimation. As a member of the 2018-2023 Landsat Science Team, he contributes to advancing earth observation capabilities for hydrologic applications. Recent publications reveal a strong trend toward integrated remote sensing approaches for continental-scale water monitoring, with significant focus on OpenET satellite-based evapotranspiration products, reservoir evaporation modeling, and groundwater-surface water interactions. His research demonstrates increasing integration of machine learning, multi-sensor data fusion, and field-scale applications to address water scarcity in the western U.S. His projects receive primary funding from the U.S. Bureau of Reclamation, U.S. Geological Survey, U.S. Bureau of Land Management, NASA, western state water agencies, and private sector partners. Huntington actively collaborates with federal, state, and tribal entities including the Navajo Nation on drought monitoring initiatives. Based in DRI's Division of Hydrologic Sciences, Huntington leads research teams developing operational tools like Climate Engine for cloud-based analysis of climate and remote sensing data. His group maintains strong partnerships with water management agencies across the western U.S. to implement satellite-derived water use data in operational decision-making contexts.

Christian StummerView profile

Professor

• Business Administration
• Innovation Management
• Technology Management
• +3 more

Professor Christian Stummer is a Chair Holder in the Faculty of Economics and Business Administration at Bielefeld University, Germany. His academic career spans over two decades with a consistent focus on innovation and technology management. As an active faculty member, he contributes significantly to the university's research profile, particularly in the area of Economic Implications of Smart Products and Smart Systems through the Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME). Position: Chair Holder in Economics and Business Administration Research Focus: Innovation and Technology Management Key Collaborators: M. Günther, E. Kiesling, W.J. Gutjahr Academic Network: Active contributor to Computational Economics research focus Professor Stummer's research interests center on business administration with a specialized focus on innovation management and technology management. His work bridges theoretical frameworks with practical applications in R&D investment planning and market launch of innovations. His research approach is characterized by an analytical-quantitative methodology that aligns with the faculty's overall research profile. Stummer has made significant contributions to the understanding of multi-criteria decision problems in innovation contexts, particularly through the development of decision support systems that help organizations navigate complex innovation management challenges. His publication record reveals a clear trajectory of research evolution from foundational work in R&D project selection in the late 1990s to sophisticated agent-based simulation approaches for innovation diffusion in recent years. The publications demonstrate a consistent focus on decision support methodologies applied to innovation management problems, with increasing sophistication in modeling approaches over time. His work frequently addresses the challenge of balancing multiple objectives in innovation management decisions, reflecting the complexity of real-world business environments. Most Innovative Paper Award: IEEE EDUCON 2010 for game-based learning in technology management education Best Applied Paper Award: Winter Simulation Conference for agent-based simulation of biofuel market diffusion Nomination: Best Paper Award at ECMS 2010 conference Professor Stummer's research has practical applications across various industry sectors, particularly in technology-intensive industries where innovation management is critical. His work on multi-channel management and disruptive technology strategy provides valuable frameworks for businesses navigating digital transformation. Through his involvement with the Bielefeld Graduate School of Economics and Management (BiGSEM), he contributes to training the next generation of researchers in quantitative economic approaches. His decision support methodologies have potential applications in both public policy contexts (particularly regarding sustainable technology adoption) and private sector innovation management.

Ying LiuView profile

Professor

• Engineering Informatics
• Digital Manufacturing
• Intelligent Manufacturing
• +4 more

Ying Liu is Professor and Chair in Intelligent Manufacturing at Cardiff University's Mechanical and Manufacturing Engineering department, where he leads the High-value Manufacturing Group and directs his eponymous research lab. His affiliations include continuous roles at Cardiff since 2018, emphasizing leadership in industrial digitalization. His research spans: AI/ML Engineering : Generative design, LLMs for manufacturing Q&A, and synthetic data generation. Smart Manufacturing : Digital twins for predictive maintenance, human-robot collaboration, and sustainable production. Industrial Informatics : Knowledge graphs for fault diagnosis and multi-domain data fusion. Recent publications (2022-2025) show a focus on Industry 5.0, with 63% emphasizing AI integration (deep learning, Transformers) and 37% addressing sustainability (energy optimization, circular economy). Trends indicate growing work on human-centric systems and LLM-driven industrial automation. He leads Ying Liu's Lab , which pioneers projects in cyber-physical systems, collaborative robotics, and battery digital twins. No awards or grants are detailed, but his editorial roles (e.g., Journal of Manufacturing Systems special issues) highlight scholarly influence.

• Italian Linguistics
• History of the Italian Language
• Contemporary Italian
• +2 more

Daniele D'Aguanno is Associate Professor of Italian Linguistics (LIFI-01/A) at the Department of Literary, Linguistic, and Comparative Studies of the University of Naples L'Orientale. His academic journey began with a graduation from the University of Rome La Sapienza in 2002 with a thesis in History of the Italian Language, followed by a PhD in "Language, Text, and Writing Forms: Linguistic Analysis, Rhetorical-Literary Traditions, and Anthropological Aspects" from the University of Basilicata in 2006. His professional path at L'Orientale progressed from adjunct professor (2013-2018), to research fellow (2014-2018), and researcher (2018-2025) before achieving his current position. Dr. D'Aguanno's research focuses on the language of modern biblical translations, Italian teaching methodologies in schools, and contemporary Italian language studies. His work bridges historical linguistic analysis with practical educational applications, particularly in secondary school contexts. He has made significant contributions to understanding how religious texts have evolved linguistically in Italian translations and how these insights can inform modern language teaching practices. His publication record shows a consistent focus on Italian linguistic history, biblical translations, and language education. Recent works demonstrate increasing engagement with digital humanities approaches, particularly through his involvement with the MULTI project (The Performance of Intangible Cultural Heritage: For a Museum of the Italian Language). His scholarly output spans academic articles, book chapters, and practical teaching guides, reflecting his dual commitment to theoretical linguistics and practical pedagogy. D'Aguanno has been actively involved in significant research initiatives, serving as both member (2021-2022) and head (2022-23) of the Orientale research unit for the MULTI project funded by FISR. His professional affiliations include membership in the Association for the History of the Italian Language (ASLI), connecting him with leading scholars in Italian linguistic history. Currently, Dr. D'Aguanno teaches "LINGUA E LINGUISTICA ITALIANA" (Italian Language and Linguistics) for undergraduate programs in Ancient Cultures and Archaeology: Asia, Africa and Mediterranean, and Mediation Linguistic and Cultural Studies, as well as "STORIA DELLA LINGUA ITALIANA - MAGISTRALE" (History of the Italian Language - Master's) for the Master's program in European and American Languages and Literatures. His teaching schedule for the 2025-2026 academic year demonstrates his ongoing active role in the department.

• Cloud Orchestration
• Containerization
• Digital Twins
• +6 more

Jay Deslauriers serves as a Research Fellow at the University of Westminster's Centre for Parallel Computing and holds a Teaching Fellow position at Imperial College London spanning both the Graduate School and Business School. With five years at Westminster following prior service as a full-time Lecturer in the School of Computer Science & Engineering, his career bridges advanced cloud research and technical education. His research focuses on cloud and container orchestration with emphasis on vendor-agnostic solutions across the cloud-edge continuum. Key projects include leading MiCADO framework development for the EU Horizon 2020 DIGITbrain (Digital Twins in Manufacturing) and ASCLEPIOS (secure healthcare cloud platform) initiatives. His technical expertise spans Kubernetes, Docker, TOSCA standards, and infrastructure-as-code implementation. Research outputs show consistent publication trends in Decentralized orchestration frameworks (2023-2025) Digital twin deployment systems (2021-2022) Cloud-agnostic application management (2018-2020) with recent work emphasizing microservices in edge computing environments. His professional engagement includes Society of Research Software Engineering membership (since 2019) AdvanceHE fellowship (since 2020) supporting his dual focus on technical infrastructure and research education. Current supervision interests center on cloud/container orchestration, Docker/Kubernetes implementation, and statistical methods for resource optimization. His MiCADO framework remains central to multiple EU-funded projects with ongoing development for cloud-edge continuum applications.