جست‌وجوی استاد و پژوهشگر

Robert Critophمشاهده پروفایل

استاد

• Thermal Engineering
• Sorption Technology
• Renewable Energy Systems
• +۵ مورد دیگر

Robert Critoph is a Professor and Head of the Sustainable Thermal Energy Technologies (STET) Group at the University of Warwick's School of Engineering. His research focuses on refrigeration, heat pumps, air conditioning, adsorption, absorption, and solar energy systems. He is part-retired and no longer accepting PhD students, directing inquiries to colleagues Dr. Stan Shire and Dr. Zacharie Tamainot-Telto. Teaching interests include Heat Transfer, Thermodynamics, Solar Energy, and Energy Conservation. His work emphasizes innovative thermal energy solutions, including gas-fired heat pumps, solar refrigeration, and thermochemical storage systems. Key projects include the Low Temperature Heat Recovery Network (LoT-NET) and the Heat Pump Fully Integrated with Thermochemical Store (HP-FITS), funded by EPSRC and other agencies. Research highlights include advancements in ammonia-salt sorption systems, material characterization for adsorption cycles, and large-scale thermal storage solutions. Publications span experimental studies on adsorption dynamics, reactor design, and thermal efficiency optimization in energy systems. His contributions address sustainable energy challenges, particularly in decarbonizing heating and cooling technologies.

Federica Ferraroمشاهده پروفایل

استادیار

• Combustion Engineering
• Aero Engine Propulsion
• Sustainable Aviation Fuels
• +۳ مورد دیگر

Jun.-Prof. Dr.-Ing. Federica Ferraro is an Assistant Professor in the Faculty of Mechanical Engineering at TU Braunschweig, leading the Reactive Flows in Aero Engines research group. Her work focuses on combustion dynamics, sustainable aviation propulsion, and numerical simulations of reactive flows. She investigates flame-wall interactions, soot formation mechanisms, and alternative fuels like hydrogen and oxymethylene ethers. Key projects include the Cluster of Excellence SE2A (C3.5) and CRC 150 (C07), addressing synthetic fuels and flame retardancy under aviation conditions. Ferraro teaches courses in numerical simulation and high-performance computing for CFD applications. Her research integrates advanced modeling techniques such as Large Eddy Simulation (LES), flamelet manifolds, and quadrature-based methods for particle dynamics. Her contributions span experimental validation, turbulent combustion analysis, and green fuel substitution strategies for decarbonizing aviation. Research Interests : Combustion physics, aero-engine propulsion, sustainable fuels, soot dynamics, CFD modeling, and thermo-chemical systems. Her studies often bridge fundamental combustion science with industrial applications in turbine design and emission control. Projects & Collaboration : Leads the Numerical investigations of synthetic fuel flames (SE2A) and Boundary layer flames with flame retardants (CRC 150). Collaborates with institutions like the Lower Saxony Graduate School on hydrogen/ammonia energy systems. Her team develops novel numerical frameworks for predictive combustion modeling. Labs & Teams : Manages the Reactive Flows group at TU Braunschweig's Institute of Jet Propulsion and Turbomachinery, fostering interdisciplinary research in propulsion and energy technologies.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Arya Farahiمشاهده پروفایل

استادیار

• Statistical/Machine Learning
• Algorithmic Fairness
• Astroinformatics
• +۳ مورد دیگر

Arya Farahi is an Assistant Professor of Statistics and Data Sciences at the University of Texas at Austin since 2021. His research bridges astroinformatics, urban informatics, and AI ethics, focusing on mitigating algorithmic bias and uncertainty quantification in real-world applications. He holds PhDs in Physics and Scientific Computing from the University of Michigan, where he was a Data Science Fellow at the Michigan Institute for Data Science. Farahi's work includes collaborations with international projects such as the Dark Energy Survey (DES), COsmostatistics Initiative (COIN), and XMM-XXL Consortium. He leads the D3 Lab, which develops AI tools for scientific discovery and societal challenges, emphasizing interdisciplinary collaboration. His open-source contributions include TATTER, KLLR, and PoPE for statistical analysis and visualization. Key awards include the Best Student Paper Award at KDD’18 and a $400k+ grant. He is a volunteer with Statistics Without Borders and actively involved in projects like the Fire and Smoke Digital Twin for urban resilience. His research spans cosmology, healthcare AI, and urban economics, with a focus on trustworthy models and equitable AI systems.

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

Pingbo Tangمشاهده پروفایل

دانشیار

• Civil Engineering
• Remote Sensing
• Human Systems Engineering
• +۵ مورد دیگر

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

Sohrab Rohaniمشاهده پروفایل

استاد

• Process Control
• Crystallization
• Metal-Organic Frameworks (MOFs)
• +۶ مورد دیگر

Sohrab Rohani is a Professor in the Department of Chemical and Biochemical Engineering at Western University . His research spans process control, crystallization, and advanced materials synthesis, with a focus on Metal-Organic Frameworks (MOFs) for energy and biomedical applications. Ph.D., University of Wales (1979) – Process Control B.Sc., Pahlavi University (1975) – Chemical Engineering Postdoctoral Fellow, ETH Zurich (1979-1981) Research Interests include: Materials Science : MOF synthesis for CO2 capture, supercapacitors, and drug delivery. Process Optimization : Machine learning in crystal design, CFD modeling, and waste valorization. Biomedical Applications : Stimuli-responsive drug carriers and cancer therapy platforms. Publication Trends highlight his work in: Designing multi-metal MOF electrodes for energy storage CO2 mineralization and metal recovery from industrial waste Green synthesis of MOF composites for pharmaceuticals and food packaging Machine learning-driven cocrystal prediction Scientific Awards include the Engineering Medal in Research and Development (2008) and the Western Faculty of Engineering Award for Excellence in Research (2009). Research Facilities at ZNML and CCPL labs focus on state-of-the-art material characterization (XRD, TGA, FTIR, HPLC, etc.) and industry collaborations.

• Mineralogy
• Mineral Processing
• Building Materials
• +۳ مورد دیگر

Dr. Sen Wang is a Postdoctoral Fellow in the School of Chemistry and Physics at Queensland University of Technology (QUT), Faculty of Science. His research focuses on mineralogy and mineral processing, with applications in building materials development and mineral-based catalysts. Dr. Wang earned his PhD from QUT in 2023. Prior to that, he completed his Master's degree from China University of Mining and Technology (Beijing) in 2018, and his Bachelor's degree from the same institution in 2014. Dr. Wang's research specializes in the structures and properties of minerals, with a focus on designing mineral-based materials for practical applications including sustainable concrete, clay bricks, fire-resistant gypsum boards, and high-performance catalysts. He has actively collaborated with Queensland's building materials industry for five years, implementing quality control strategies and facilitating technology transfer. His research outputs have been disseminated to 22 brickmaking factories worldwide, demonstrating significant practical impact. Dr. Wang's publication record shows expertise across mineral processing, materials science, and environmental applications. His work demonstrates consistent focus on clay minerals and their applications in construction materials, with significant contributions to understanding thermal behaviors during brick firing. More recently, his research has expanded into catalysis and nanomaterials for environmental applications, showing increasing interdisciplinary reach. Dr. Wang has secured over AUD $120k in grants and awards, including: QUT Early Career Researcher Ideas Scheme (Australia, 2024) The Clay Minerals Society Student Research Grant (USA, 2023) The Clay Minerals Society Student Travel Award (USA, 2022) Chinese Government Award for Outstanding Self-financed Students Abroad (China, 2022) Dr. Wang has authored 19 research articles in top-tier peer-reviewed journals since 2016, with one first-author paper achieving ESI's top 1% highly cited paper in Engineering. His work has accumulated over 700 citations on Google Scholar, with both h-index and i10-index standing at 17. He is currently accepting research students for Honours, Masters, and PhD study, indicating his active role in mentoring the next generation of researchers. Dr. Wang is affiliated with the Centre for Materials Science at QUT and serves on the Editorial Boards of Green and Smart Mining Engineering (KeAi, China) and the International Journal of Materials Science and Applications (Science PG, USA). His membership in The Clay Minerals Society (USA) demonstrates his standing in the mineralogy research community.

Johnny Liمشاهده پروفایل

استادیار

• Precision Agriculture
• IoT Sensors
• Autonomous Robotics
• +۵ مورد دیگر

Johnny Li is an Assistant Professor in the Department of Soil and Water Systems at the University of Idaho, affiliated with the College of Agricultural & Life Sciences. He leads the Precision Agriculture and Intelligent Robotics Laboratory (PAIR) and is an affiliate professor at the Center for Intelligent Industry Robot (CI2R). Education: PhD in Mechatronics (Central South University, 2012), M.S. in Material Science (Central South University, 2005), B.S. in Agricultural Engineering (Hunan Agricultural University, 2002). Research focuses on IoT/robotics sensing, control systems, and AI integration for precision agriculture, environmental management, and infrastructure monitoring. Key areas include autonomous robotics, remote sensing, crop modeling, and explainable AI for decision support systems. Publications emphasize machine learning applications in disease detection (citrus, tomatoes, grapes), wildfire monitoring, and infrastructure health assessment. Over 40 peer-reviewed papers and $1.5M in grants secured since 2019. Awards include NSF CGCA Panel Fellow (2022) and editorial role at Agricultural Engineering International: CIGR Journal (2013). Labs/Teams: PAIR Lab (founded 2022), CI2R collaboration, interdisciplinary partnerships with soil scientists, engineers, and computer scientists.

Daniel Tauritzمشاهده پروفایل

استاد

• Artificial Intelligence for National Security
• Cyber Security
• Critical Infrastructure Protection
• +۵ مورد دیگر

Daniel Tauritz is a Professor in the Department of Computer Science and Software Engineering at Auburn University and serves as Director for National Laboratory Relationships. He holds a Ph.D. and M.S. in Computer Science from Leiden University, along with propaedeutic studies in Computer Science and Mathematics. His research focuses on AI-driven cybersecurity, automated algorithm design using hyper-heuristics, computational game theory, and evolutionary computation. Tauritz leads initiatives such as the Auburn Cyber Research Center and collaborates with institutions like Los Alamos National Laboratory on critical infrastructure protection and satellite network security. His work bridges academia and national security through projects like the Cyber Fire Puzzles competition and the Satellite Tycoon economic simulation game. His educational background includes advanced studies at Leiden University, with a strong foundation in computer science and mathematics. Research contributions span evolutionary algorithms for molecular evolution, coevolutionary defense strategies, and generative hyper-heuristics. Tauritz has secured grants including an NSF award for AI-cybersecurity education and contributed to Auburn’s partnerships with national laboratories. He is actively involved in fostering student engagement through ethical hacking clubs and experiential learning programs. Notable achievements include moderating panels on AI in cybersecurity and AI workforce development, as well as developing frameworks like Galaxy for network emulation and DCAFE for automated cyber experiments. His publications emphasize applying evolutionary computation to real-world challenges, including satellite constellation economics and adversarial network defense strategies.

Stanko Stankovمشاهده پروفایل

پژوهشگر

• Industrial Automation
• Process Control
• SCADA Systems
• +۷ مورد دیگر

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Sandra Diaz Pierمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre , Germany. Specializing in computational neuroscience , high performance computing (HPC) , and machine learning , she bridges neuroscience and advanced computational methods through her research. Education: B.Sc. in Electronic Systems Engineering, Mexico M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico Second M.Sc. in Electrical Engineering, Ontario, Canada Ph.D. in Computer Science, Germany (2021) Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP) , Virtual Brain Cloud , and EBRAINS 2.0 , emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator , The Virtual Brain , and L2L , enabling efficient parameter exploration and multiscale co-simulation frameworks. The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling . These articles reflect her expertise in integrating machine learning , multi-scale simulation , and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks. She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package , while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.

Kirti Ruikarمشاهده پروفایل

دانشیار

• Digital Construction
• Building Information Modeling (BIM)
• Data Science in Construction
• +۷ مورد دیگر

Dr. Kirti Ruikar is a Reader in Digital Construction with 19 years of experience, specializing in applying digital technologies like BIM and AI to enhance safety, resilience, and performance in construction and infrastructure projects. She holds a BArch, MSc, and EngD, and is a Fellow of the Higher Education Academy (FHEA). As a University Special Envoy for India, she bridges international collaborations. Her research focuses on BIM integration for site safety and sustainability, Data-driven solutions for infrastructure projects, AI applications in construction safety, Public-Private Partnerships in developing countries, Enterprise systems optimization, and policy interventions in roadworks management. Notable projects include Data Lakes for Indian highways (collaboration with IIT Delhi), BIM-based safety frameworks for staircases and ladders, Social network analysis for knowledge management, and FCDO-funded automated construction safety systems. Her work spans over 150 publications, including 3 books and 50 journal papers, with a strong emphasis on Q1 journals. She has secured £1m+ in funding from Innovate UK, EPSRC, and international bodies. Collaborations include Asite, Arup, and Derby City Council. Her research outputs highlight trends in Industry 4.0 adoption, AI-driven safety systems, and leveraging data lakes for infrastructure resilience. She advocates for ethical innovation and cross-disciplinary collaboration to address global construction challenges.

Peter Nockemannمشاهده پروفایل

استاد

• Energy Storage
• Ionic Liquids
• Sustainable Metal Separation
• +۳ مورد دیگر

Professor Peter Nockemann is a faculty member at Queen's University Belfast, serving as Professor in Inorganic and Materials Chemistry and Director of Research. He leads research in ionic liquids, energy storage, and sustainable metal separation. His work addresses critical challenges in renewable energy systems and rare earth metal recycling, contributing to UN Sustainable Development Goals. He co-founded Green Lizard Technologies Ltd., a startup focused on clean energy solutions. Nockemann holds a Royal Society of Chemistry Fellowship and has received awards for innovation and sustainability. Research Interests: Ionothermal synthesis of advanced materials Redox flow battery electrolyte development Environmental applications of ionic liquids Urban mining and rare earth recycling Key Achievements: Developed novel electrolytes for high-energy-density batteries Pioneered ionic liquid-based metal separation techniques Recipient of AkzoNobel Imagine Chemistry Award (2018) Co-creator of a scalable rare earth recycling plant Current Projects: 3D-printed redox flow battery systems High-power-density electrolyte formulations Sodium semi-solid-state battery development

Yue Guoمشاهده پروفایل

استاد

• Energy Storage Systems
• Automotive Engineering
• Lithium-Ion Batteries
• +۴ مورد دیگر

Yue Guo is a Professor of Battery Systems at Coventry University, affiliated with the Institute of Future Transport and Cities and the Centre for E-Mobility and Clean Growth. He holds a BEng in Electrical Engineering and Automation from Harbin Institute of Technology (China), an MSc in Management of Information Technology from the University of Nottingham, a PhD in Model-Based Design for Automotive Electronic Systems from the University of Warwick, and an MBA in Global Energy Industry from Warwick Business School. His research focuses on energy storage systems, battery thermal management, and automotive electronics. He has collaborated extensively with the automotive industry on projects involving system-of-systems modeling, Li-ion battery testing, and low-carbon transport technologies. Notable roles include former Project Manager and Deputy Head of the Energy Innovation Centre at WMG, University of Warwick, and current Chair of Battery Systems at C-ALPS. Professional memberships include Chartered Engineer, IEEE Senior Member, and SAE International Battery Thermal Management Committee. Key research trends in his publications include predictive battery diagnostics, thermal runaway prevention, and LCA analysis of battery production. His work emphasizes real-time monitoring technologies and sustainable energy storage solutions. Projects address challenges in battery aging, environmental impacts, and integration into low-carbon vehicle systems. Awards and recognitions include his academic appointments and industry collaborations, though no specific scientific awards are listed. He has advised on numerous research initiatives and contributed to advancing battery technologies through innovative thermal management systems and model-based testing frameworks. Labs and teams: Active in the Centre for E-Mobility and Clean Growth, leading interdisciplinary projects at Coventry University's Institute of Future Transport and Cities. Collaborations span academic and industrial partners globally, focusing on next-generation energy storage solutions.