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Bobby AcharyaView profile

Professor

• High Energy Particle Physics
• Cosmology
• String/M Theory
• +3 more

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 MunyakaView profile

Lecturer

• Humanitarian Logistics
• Disaster Relief Operations
• Supply Chain Optimization
• +4 more

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 MolkenView profile

Professor

• Health Economics
• Health Technology Assessment (HTA)
• Cost-Effectiveness Analysis
• +4 more

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
• +5 more

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
• +5 more

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
• +2 more

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 GuptaView profile

Professor

• Production Scheduling
• Supply Chain Optimization
• Energy Efficiency
• +2 more

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 ToroczkaiView profile

Professor

• Complex Systems
• Network Science
• Neuroscience
• +4 more

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 PerryView profile

Adjunct Associate Professor

• Stochastic Models
• Applied Probability
• Service Systems
• +4 more

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
• +3 more

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 BayerView profile

Lecturer

• Simulation Modelling
• Health Systems Research
• Health Planning
• +3 more

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.

• Pipeline Engineering
• Computational Geomechanics
• Geotechnical Earthquake Engineering
• +5 more

Dr. George (Georgios) Kouretzis is an Associate Professor in the School of Engineering at the University of Newcastle. His research focuses on pipeline engineering, soil-structure interaction, computational geomechanics, and geotechnical earthquake engineering. He has contributed to the development of practical design tools for buried pipelines affected by geohazards and seismic events. His work integrates advanced numerical simulations with experimental methods, such as physical modeling and vane shear testing. Educations: PhD in Geotechnical Engineering, National Technical University of Athens (NTUA), Greece (2005) MSc in Civil Engineering, NTUA, Greece Diploma in Civil Engineering, Democritus University of Thrace, Greece Research Interests: Onshore pipeline infrastructure safety under environmental and seismic hazards Soil dynamics and computational geomechanics Seismic design of tunnels and geotechnical structures Advanced constitutive models for soft soils Dr. Kouretzis has led major projects funded by the Australian Research Council (ARC), focusing on environmental impacts on pipelines and laboratory apparatus development. He collaborates internationally, aiming to establish a national buried pipeline research hub. His awards include recognition for research and teaching excellence from IACMAG and ACCM. He serves as an associate editor for the Canadian Geotechnical Journal and actively reviews for leading journals and funding bodies. His academic roles include course coordination for geotechnical engineering courses and supervision of postgraduate students. Parallel to academia, he provides expert consultancy for energy and transportation infrastructure projects, including pipelines and seismic-resistant tunnels. He is a member of the Australian Geomechanics Society and served as Secretary of its NSW-Newcastle Chapter.

Brian Van KotenView profile

Assistant Professor

• Applied Probability
• Numerical Analysis
• Computer Simulation of Molecular Systems
• +4 more

Brian Van Koten is an Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. His research focuses on applied probability and numerical analysis, with applications to molecular systems simulation, variance reduction in statistical physics, and numerical methods for saddle point identification. He teaches courses such as Math 652 (Numerical Analysis II), emphasizing computational methods for partial differential equations and optimization in machine learning. Key research interests include computer simulations of biological and materials systems, rare event sampling techniques, and atomistic/continuum coupling methods. He has presented work at institutions like the Institute for Computational and Experimental Research in Mathematics (ICERM) and the Institute for Pure and Applied Mathematics (IPAM), focusing on topics like stratification for Markov chain Monte Carlo and the string method for minimum energy paths. Van Koten's work bridges theoretical numerical analysis with practical computational challenges, addressing issues in multiscale modeling and error analysis. His teaching philosophy integrates advanced numerical methods with real-world applications, supported by detailed course materials on topics like finite difference methods and optimization algorithms for large-scale data science problems.

Henrik SchiølerView profile

Associate Professor

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Control Systems
• +4 more

Henrik Schiøler is an Associate Professor at the Department of Electronic Systems, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on robotics, unmanned aerial vehicles (UAVs), control systems, and embedded software systems. He leads the Learning and Decisions Lab and contributes to the AI for the People initiative and the CISS Center for Embedded Software Systems. Key projects include Industry 4.0 digital technologies, UAV safety (BVLOS FastTrack), and global air traffic optimization (GATOSS). His work spans predictive manufacturing models, fault-tolerant control systems, and statistical methodologies for cosmological hypotheses. Research interests: Robotics, UAV navigation, control systems, embedded systems, predictive analytics, multiverse theory. Recent projects (2015–2021): Digital tech for Industry 4.0, UAV collision avoidance, satellite-based air traffic surveillance. Awards: Best Paper Award (2015). He supervises PhD students in advanced control systems and manufacturing optimization. Collaborates internationally on UAV applications and AI-driven industrial solutions.

Fantahun M. DefershaView profile

Professor

• Manufacturing system analysis
• Flexible and cellular manufacturing systems
• Reconfigurable manufacturing systems
• +7 more

Fantahun M. Defersha is a Full Professor in the Department of Mechanical and Industrial Engineering at the University of Guelph, Ontario, Canada. He holds a PhD in Mechanical Engineering from Concordia University (2006) and has over 28 years of academic experience, including roles as Area Head in Mechanical Engineering. His research focuses on manufacturing systems optimization, cellular manufacturing, supply chain modeling, meta-heuristics, and parallel computing applications. Education: B.Sc. Mechanical Engineering (1995), Addis Ababa University MEng. Mechanical Engineering (2000), University of Roorkee (IIT Roorkee) PhD Mechanical Engineering (2006), Concordia University Research Interests: Manufacturing system analysis, flexible/cellular manufacturing systems, reconfigurable manufacturing systems, supply chain optimization, meta-heuristics, parallel computing, and additive manufacturing sustainability. His work integrates computational methods like genetic algorithms and machine learning to solve complex industrial problems. Publications: Over 50 peer-reviewed journal articles, emphasizing sustainable manufacturing, optimization algorithms, and industrial systems. Recent work includes hybrid machine learning approaches for additive manufacturing and cloud-based digital twin systems. Honors: Campaign for a New Millennium Graduate Scholarship (2004–2005) Concordia University International Tuition Fees Remission Award (2004–2005) Concordia University Graduate Fellowship (2004–2005) Teaching & Advising: Taught over 25 courses, including Optimization in Engineering, Discrete Event Simulation, and Manufacturing Systems Design. Actively advises graduate students in mechanical and industrial engineering. Current research funding includes NSERC grants for Industry 4.0 integration and digital twin technologies. Labs/Teams: Leads research on smart manufacturing systems, digital twins, and sustainable production processes through collaborations with industry partners like AVL Manufacturing Inc.