جست‌وجوی استاد و پژوهشگر

Richard Hillمشاهده پروفایل

استاد

• Controls
• Dynamics
• Instrumentation
• +۹ مورد دیگر

Richard Hill is the Associate Dean for Research & External Initiatives and Professor of Mechanical Engineering at the University of Detroit Mercy's College of Engineering & Science. He holds a Ph.D. and M.S. in Mechanical Engineering from the University of Michigan, an M.S. in Applied Mathematics from the University of Michigan, an M.S. in Mechanical Engineering from the University of California, Berkeley, and a B.S. in Mechanical Engineering from the University of Southern California. His research focuses on controls, dynamics, instrumentation, mechatronic design, and numerical methods, with applications in electric vehicles, discrete-event system modeling, nonlinear control, and manufacturing systems. He also explores educational initiatives in STEM, including high-impact practices, K-12 computer science teacher development, and virtual laboratory design. Recent publications span educational technology (e.g., co-teaching models for CS teachers) and technical advancements in control systems and robotics. Prior to academia, Dr. Hill worked at Lockheed Martin on satellite control systems and served as a high school math and science teacher before joining Detroit Mercy in 2008.

• FinTech
• Cyber Security
• Data Science
• +۴ مورد دیگر

Dr. KC Chan is a Senior Lecturer at the University of Southern Queensland (USQ) in the School of Business, specializing in Information Systems. He holds academic affiliations as an Honorary Senior Research Fellow at La Trobe University and a Visiting Fellow at the University of New South Wales (UNSW). With over 30 years of professional experience, his career spans academia, industry, and research. He has published over 100 refereed papers focusing on FinTech, Cyber Security, AI/ML applications, and data science. Dr. Chan's educational background includes a BASc and MASc from the University of Toronto and a PhD in Manufacturing Engineering from UNSW. His research interests emphasize the intersection of technology and business, particularly in financial systems security, blockchain applications, and data-driven decision-making. He has supervised numerous doctoral and master's students, including projects on quantum computing risk management, intrusion detection in web systems, and cognitive approaches to cryptocurrency frameworks. Dr. Chan's work bridges academia and industry, with notable contributions to smart building AI integration, manufacturing big data ecosystems, and healthcare informatics. His recent publications (2023-2025) address cryptocurrency trading analysis, mental health monitoring systems, and sustainable corporate strategies. He actively contributes to teaching advanced cybersecurity topics like CIS8500 and CIS8711.

• Industrial Organization
• Maintenance
• Operations
• +۳ مورد دیگر

Aitor Goti Elordi is an Associate Professor at the University of Deusto, based in the Bilbao campus. He teaches within the Department of Industrial Technologies and the double degree program in Business Administration and Engineering. His roles include instructing courses on Business Administration (in Basque and Spanish), ERP-based process management, Industrial Organization, Economics, and Technical Office (in English and Spanish). Education: Engineer in Industrial Management from Mondragon University Ph.D. from Politechnic University of Valencia Research Interests: Focuses on Industrial Organization, Maintenance strategies, Operations management, Discrete Event Simulation, ERP systems, and BIG DATA applications. He contributes to the Industrial Management and Logistics research group, recognized since 2002 at the University of Deusto. Advising & Office Hours: Tutorials require prior scheduling. Available: Wednesday: 10:00–11:30 in Room D551 Thursday: 8:30–10:00 and 10:30–10:30 in Room D551 Friday: 10:30–12:00 in Room D551

John A. Millerمشاهده پروفایل

استاد

• Web-based Simulation
• Workflow Management
• Bioinformatics and Health Informatics
• +۶ مورد دیگر

John A. Miller is a Professor in the School of Computing at the University of Georgia, specializing in computational data science, simulation, and machine learning. He holds a PhD from Georgia Institute of Technology (1986) and has been a faculty member since 1986, progressing from Assistant Professor (1986–1993) to Professor (2000–present). His research focuses on web-based simulation, workflow management, bioinformatics, and pandemic forecasting using AI and deep learning. Education: PhD in Computer Science (Georgia Tech, 1986), MS (Georgia Tech, 1982), BS in Applied Mathematics (Northwestern University, 1980). Research interests include: (i) Modeling & Simulation, (ii) Web Services/Workflow, (iii) Big Data Analytics, (iv) Database Systems, and (v) Bioinformatics. Notable projects include NSF-funded work on pandemic prediction using foundation models and AI-driven glycan structure analysis. Recent awards include the 2024 Student Career Success Influencer Award. He has secured over $5M in grants from NSF, Google, and NIH for projects like knowledge-infused learning for time series forecasting and AI for scientific discovery. Labs/Teams: Leads interdisciplinary teams in pandemic modeling, traffic simulation, and healthcare analytics. Active in collaborative research with institutions like The Home Depot and University of Pennsylvania.

Bobby Acharyaمشاهده پروفایل

استاد

• High Energy Particle Physics
• Cosmology
• String/M Theory
• +۳ مورد دیگر

Professor Bobby Acharya is a leading academic in Theoretical Particle Physics & Cosmology at King’s College London, affiliated with the Physics Department within the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD in String Theory from Queen Mary & Westfield College, University of London (1998), followed by a research fellowship there (1997–2000). He has held postdoctoral roles at Rutgers University and the International Centre for Theoretical Physics in Trieste. His research focuses on high-energy physics experiments at the CERN LHC (ATLAS collaboration), string/M-theory phenomenology, and cosmology. Key contributions include studies of magnetic monopoles via the MoEDAL experiment, Higgs boson properties, and supersymmetry. Notable awards include the 2018 Lawrence Bragg Gold Medal from the Institute of Physics. He has led major projects like 'Pathways between Fundamental Physics and Phenomenology' and 'Probing string theory hidden sectors with gravity waves and axions.' His work spans over 500 publications, with recent highlights in Physical Review Letters and Nature . Grants include STFC funding for LHC-related research and Simons Foundation support for geometric physics. He collaborates internationally, particularly in Europe, on topics like Standard Model tests and beyond. His lab affiliations include the Theoretical Particle Physics & Cosmology group at King’s, actively promoting physics outreach in Africa and globally.

Baraka Jean-Claude Munyakaمشاهده پروفایل

مدرس

• Humanitarian Logistics
• Disaster Relief Operations
• Supply Chain Optimization
• +۴ مورد دیگر

Baraka Jean-Claude Munyaka is a Lecturer and Scientific Collaborator at EPFL, affiliated with the ENAC School and the CEAT department. His work focuses on humanitarian logistics, disaster relief operations, and urban planning in the Global South. He holds a position in the SAR-ENS unit under ENAC-SAR, emphasizing teaching and research in architectural and civil engineering contexts. Research Interests : Munyaka’s research integrates geospatial analysis, supply chain optimization, and Six-Sigma methodologies to address challenges in disaster response, manufacturing efficiency, and sustainable urban development. His work combines theoretical frameworks with real-world case studies in regions like the Democratic Republic of the Congo, Zimbabwe, and Senegal. Publications : His recent works explore themes such as deep learning applications in environmental risk assessment, DMAIC-driven productivity improvements in manufacturing, and participatory GIS approaches to rural mobility. These studies highlight his interdisciplinary approach, merging logistics, technology, and policy. Awards : No specific awards are mentioned in the provided materials. Teaching & Advising : Munyaka teaches courses like 'Urban planning in the South' and collaborates on projects addressing global challenges in supply chain management and disaster resilience. His work emphasizes practical solutions for developing regions, aligning with EPFL’s commitment to impactful research.

Maureen van Molkenمشاهده پروفایل

استاد

• Health Economics
• Health Technology Assessment (HTA)
• Cost-Effectiveness Analysis
• +۴ مورد دیگر

Maureen van Molken is a Full Professor of Economic Evaluation of Innovations for Health at Erasmus School of Health Policy & Management, Erasmus University Rotterdam. She also serves as Scientific Director of the Institute for Medical Technology Assessment (IMTA). Her academic roles include teaching Health Technology Assessment and Pharmaceutical Pricing in the Master’s program. With nearly 30 years of experience, her research focuses on economic evaluations, health technology assessment methods, and cost-effectiveness of complex healthcare interventions. She leads major projects like SELFIE (Horizon2020) for integrated care in multi-morbidity and contributes to HEcoPerMed on personalized medicine financing strategies. Her expertise spans respiratory diseases (COPD, asthma), rheumatology, cardiovascular conditions, and personalized medicine. She holds an MSc and PhD in Health Economics from Maastricht University. Professional contributions include over 317 research outputs and 19 datasets, emphasizing methodological advancements in health economics. Her work addresses SDGs related to health equity and sustainable development. Recent research explores bundled payment models, frail elderly populations, and conflict-of-interest management in HTA processes. She collaborates internationally on initiatives like Invest4Health, advancing preventive health financing strategies.

• Information Visualization
• Visual Analytics
• Multidimensional Data
• +۵ مورد دیگر

Rafael Messias Martins is a Researcher at Linnaeus University, affiliated with the Department of Computer Science and Media Technology within the Faculty of Technology. He holds an MSc in Computer Science from the University of São Paulo and a PhD in Computer Science from the University of Groningen. His primary research focuses on Information Visualization and Visual Analytics, particularly emphasizing Multidimensional Data and Networks. He is a core member of the Information and Software Visualization (ISOVIS) research group and leads multiple ongoing and completed research projects, including InfraVis (a national research infrastructure for data visualization) and initiatives addressing medication risks and carbon mitigation in forestry. His work bridges theoretical advancements in visualization with practical applications in education, healthcare, and environmental science. Education MSc in Computer Science, University of São Paulo, Brazil PhD in Computer Science, University of Groningen, Netherlands Research Interests His research explores the intersection of visualization techniques with complex data analysis, emphasizing: Interactive visual analytics for high-dimensional data Machine learning interpretability through visualization Educational data analytics for K-12 institutions Applications in healthcare (e.g., medication risk prediction) and environmental science (e.g., carbon footprint reduction) Development of national visualization infrastructures (InfraVis) Recent Trends in Articles His recent work emphasizes: Enhancing trust in machine learning models through visual explanations Optimizing visualization tools for educational stakeholders Algorithmic fairness in urban planning simulations Scalable dimensionality reduction techniques for streaming data Grants & Collaborations He has coordinated projects such as IDEAL (interaction design curriculum development), TimberVis (3D timber structure visualization), and seed projects addressing carbon mitigation and medication risks. Collaborations span academic, industrial, and governmental partners in Sweden and internationally. Labs & Teams He leads the ISOVIS group, which develops open-source tools like SBGTool (student grouping analytics) and FeatureEnVi (feature engineering visualization). The group also contributes to InfraVis, a national platform for visualization resources.

• Marine Systems Design
• Deep Sea Mining
• Aquaculture Logistics
• +۵ مورد دیگر

Bjørn Egil Asbjørnslett is a Professor of Marine Systems Design at the Department of Marine Technology, Norwegian University of Science and Technology (NTNU). He serves as Director of NTNU Ocean and Coast, a strategic research area focusing on marine innovation. Additionally, he manages the Bachelor in Engineering (Aquaculture) and Minor in Aquaculture programs. His research spans deep-sea mining systems , ship design complexity , Arctic shipping , and resilient maritime logistics . He leads projects on vessel design for offshore mining, emergency response optimization, and aquaculture logistics. His recent work emphasizes technology transfer from oil/gas to deep-sea mining , multi-stakeholder design solutions , and analytical methods for vessel performance prediction . He has received no explicitly stated awards but is actively engaged in cross-disciplinary collaborations with industry and academia. His advising focuses on doctoral students in marine systems engineering and design methodologies.

• Deep-Sea Mining
• Geometallurgy
• Resource Estimation
• +۲ مورد دیگر

Steinar Løve Ellefmo is Professor of Resource Geology at NTNU's Department of Geoscience and Petroleum. His research develops geometallurgical models for mineral resource assessment, with current focus on deep-sea mining systems, 3D deposit modeling, and sustainable resource management. He leads the TripleDeep project on marine mineral competencies. Core research domains: Deep-sea mining economic viability Geostatistical resource estimation Industrial mineral production optimization Geothermal energy integration in mining Recent publications analyze hybrid geothermal-cryogenic energy systems, geometallurgical flowsheet design, and production forecasting for seafloor massive sulfide deposits. Methodologies integrate discrete event simulation, geostatistics, and life-cycle assessment. Industry collaborations include offshore mining technology development with Equinor and geometallurgical programs for nepheline syenite operations. Teaches resource characterization, geostatistics, and mine planning courses.

Deepak Guptaمشاهده پروفایل

استاد

• Production Scheduling
• Supply Chain Optimization
• Energy Efficiency
• +۲ مورد دیگر

Dr. Deepak Gupta is Professor and Department Chair of Industrial and Manufacturing Engineering at Wichita State University's College of Engineering. As Graduate Coordinator, he leads research in industrial systems optimization and sustainable manufacturing. His research develops computational models for production scheduling, supply chain management, and energy efficiency. Recent publications focus on Industry 4.0 applications in logistics, including dynamic vehicle routing algorithms and machine scheduling optimizations under uncertainty. Sustainability integration in manufacturing systems is a growing thematic focus. Earlier foundational work established energy efficiency frameworks through projects like the Energy Efficiency Knowledge Center (EEKC) and maintenance models for industrial equipment.

Zoltan Toroczkaiمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Neuroscience
• +۴ مورد دیگر

Zoltan Toroczkai is a Professor in the Department of Physics & Astronomy at the University of Notre Dame, with a concurrent appointment in the Department of Computer Science and Engineering. His research focuses on complex systems, integrating tools from statistical physics, nonlinear dynamics, and network science to address problems in neuroscience, biophysics, and computational foundations. He holds a Ph.D. from Virginia Polytechnic Institute and State University (1997) and an M.Sc. from Babeș-Bolyai University (1992). His work spans interdisciplinary areas including cortical connectivity modeling, optimization problems (e.g., Sudoku as a chaos-driven system), and network dynamics. Notable achievements include developing predictive models of cerebral cortical networks and analyzing structural bottlenecks in communication systems. He is a Fellow of the American Physical Society (2012) and has contributed to foundational studies on scale-free networks and disease outbreak modeling. Education : M.Sc., Physics, Babeș-Bolyai University, 1992 Ph.D., Physics, Virginia Tech, 1997 Key Research Themes : Complex systems and network science Neuroscience and cortical architecture Optimization and computational complexity Fluid dynamics and chaotic flows Awards : 2012: Fellow of the American Physical Society Publications : Focus on interdisciplinary applications of physics to real-world systems Notable contributions to Science , Neuron , and Nature journals

Ohad Perryمشاهده پروفایل

دانشیار مدعو

• Stochastic Models
• Applied Probability
• Service Systems
• +۴ مورد دیگر

Ohad Perry is an Adjunct Associate Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University under the McCormick School of Engineering . He holds a Ph.D. and M.S. in Operations Research from Columbia University and a B.Sc. in Mathematics and Statistics from the University of Haifa . Research Interests : Stochastic models and applied probability Queueing theory for service and healthcare systems Performance analysis and control of stochastic systems Inventory and contact center optimization Recent Publications : Focus on polling systems , patient flow dynamics , stability of parallel servers , and fluid-diffusion hybrids in priority queues. His work spans theoretical advancements (e.g., Stochastic Systems ) and applied implementations (e.g., Stroke ). Scientific Awards : 2020 APS Best Student Paper Award (as advisor for Hu Y. et al.) Advising and Grants : Co-advisor to doctoral graduates now at HKUST , Tsinghua University , and Stanford GSB . Recipient of multiple NSF grants (2014-2023) and Northwestern Memorial Hospital funding.

• Civil Engineering
• Commercial Services
• Building
• +۳ مورد دیگر

Dr. Neville Hurst is a Senior Lecturer at the School of PCPM, RMIT University. His research focuses on Civil Engineering, Urban and Regional Planning, and Environmental Engineering, with a particular emphasis on sustainable infrastructure and real estate policies. He actively collaborates through his ORCID profile (0000-0001-5039-3621) and is open to supervising postgraduate students in Masters Research or PhD programs. His work integrates transportation systems, energy efficiency in buildings, and housing policy analysis. Recent studies include evaluating rail infrastructure performance, exploring green building technologies, and analyzing investor behavior in residential markets. He frequently engages with urban planning challenges, such as transit-oriented development and smart city initiatives. Dr. Hurst’s research also addresses regulatory frameworks, professionalization of real estate roles, and the implications of taxation policies on housing availability. His interdisciplinary approach bridges engineering, policy, and urban design to advance sustainable development goals.

Steffen Bayerمشاهده پروفایل

مدرس

• Simulation Modelling
• Health Systems Research
• Health Planning
• +۳ مورد دیگر

Dr Steffen Bayer is a Lecturer in Business Analytics at the University of Southampton's Southampton Business School. He holds additional roles as Programme Leader for the MSc in Business Analytics and Finance, and PGR Senior Tutor for the Faculty of Social Sciences. His professional background includes prior positions as an Assistant Professor at Duke-NUS Medical School in Singapore and research fellowships at Imperial College London and the University of Sussex. Education: Doctorate in Science and Technology Policy from the University of Sussex Initial training in Physics (specific degree details not provided) Research Interests: Steffen’s primary research areas include: Simulation Modelling Health Systems Research Health Planning System Dynamics Agent-Based Modelling His work integrates these methodologies to address challenges in healthcare service delivery (e.g., stroke care, renal care, home-based health technologies) and operational problems in business contexts (e.g., retail fraud, product returns sustainability). In recent publications (2022–2025), Steffen has explored topics such as NHS diagnostic optimization, cervical cancer screening access in Colombia, and retail fraud mitigation. He consistently applies simulation and data-driven techniques to solve complex system challenges in healthcare and supply chain operations. Dr Bayer has not listed any scientific awards, though he holds editorial roles with Operations Research for Health Care and BMC Health Services Research , and previously served as President of the UK Chapter of the International Systems Dynamics Society. Advising and Grants: Currently supervising two PhD students in Business Studies & Management. His research projects include 'Forecasting and influencing product returns and fraud rates in a Covid-19 world', presented at the EurOMA Sustainability Forum 2022. He emphasizes interdisciplinary collaboration and applied research addressing real-world operational issues. Labs and Teams: Centre for Operational Research, Management Science and Information Systems (CORMSIS) Centre for Healthcare Analytics Centre for Resilient Socio-Technical Systems Supply Chain Excellence Centre These affiliations support his focus on advancing operational research and business analytics in healthcare and business systems.