جست‌وجوی استاد و پژوهشگر

• Circular economy
• Waste management
• Environmental sustainability
• +۷ مورد دیگر

Dr. Silvia Fiore is a Full Professor at Politecnico di Torino, Department of Environment, Land and Infrastructure Engineering (DIATI). She is an active member of the Interdepartmental Center CWC - CleanWaterCenter@PoliTo and serves on multiple PhD teaching committees for Civil and Environmental Engineering programs (2020-2025). Her academic profile spans research, teaching, and international collaborations including a Visiting Researcher position at McGill University (2016). Her research interests focus on environmental sustainability, circular economy, waste management, and water treatment. Key areas include treatment and recovery of municipal and industrial waste (e-waste, agro-industrial waste, end-of-life batteries), water potabilization, wastewater reuse, and environmental assessment of urban water systems. She employs methodologies such as Life Cycle Analysis, Carbon Footprinting, and technical-economic assessments of full-scale applications. Professor Fiore's recent publications (2024-2025) demonstrate a strong focus on circular economy applications, particularly in lithium-ion battery recycling, agricultural waste valorization, and sustainable materials management. Her work bridges theoretical research with practical applications, addressing critical environmental challenges through innovative engineering solutions. Scientific Recognition: Effective member of International Waste Working Group (IWWG), Germany (since 2010) Effective member of GEAM (Associazione Georisorse e Ambiente), Italy (since 2010) Learning to Teach (L2T) Open Badge from Politecnico di Torino (2023) Evaluator for national research programs (PRIN, FIRB, SIR, Rita Levi Montalcini) since 2012 Professor Fiore supervises multiple PhD students working on circular economy applications, battery recycling, and sustainable waste management. She teaches courses including 'Circular economy and environmental sustainability' and 'Battery systems for automotive and stationary applications' across multiple degree programs. Her research portfolio includes numerous competitive and commercial projects, including the EU-funded LEAD project (2025-2029) on anaerobic digestion and BEST4Hy on hydrogen technology recycling.

Alexander Lawallمشاهده پروفایل

استاد

• Cyber Security
• System and Network Security
• Web Application Security
• +۵ مورد دیگر

Prof. Alexander Lawall is a Professor of Cyber Security at IU University of Applied Sciences, where he also directs the Bachelor and Master courses in Cyber Security. Formerly, he served as the head of information security management at the REHAU Group, a global private-sector role. He holds a PhD from the Technical University of Dresden, followed by a career in information security architecture and leadership. His research focuses on system/network security, web/cloud security, IoT security, and Industry 4.0. Key themes include access control models, cross-organizational process management, and rights management frameworks. His work bridges academic and industrial cybersecurity challenges, with publications in reputable conferences and journals. Publications span hypergraph-based access control (2016), cloud resource management (2015), and cross-organizational process modeling (2014). He has contributed to advancing cybersecurity in distributed and collaborative environments, particularly through agent-based and formal language approaches. No scientific awards are explicitly mentioned. He has advised no students listed here, but his academic leadership includes curriculum development in cybersecurity education. His professional trajectory reflects a blend of academic research and industry expertise.

Kierstin Muroskiمشاهده پروفایل

استادیار

• Interpreter Education
• Deaf Culture & Linguistics
• Educational Resources Curation
• +۳ مورد دیگر

Dr. Kierstin Muroski is an Assistant Professor in the Department of American Sign Language and Interpreting Education at RIT's National Technical Institute for the Deaf (NTID). She directs the RITE Lab and created InterpNET, a comprehensive database of signed language interpreting resources. Her work focuses on interpreter education, curriculum design, and fostering inclusive academic practices. With 20 years of teaching experience, she integrates research into her courses like INTP-210 and INTP-460. Dr. Muroski leads the RITE Lab, which investigates student/faculty development, teaching materials, and historical perspectives in interpreter education. Key projects include the InterpNET database (14,000+ resources) and undergraduate research initiatives such as feedback loop studies and prosodic marker analysis. Her team includes researchers like Lyn Eaton and Jaide Winant. Her research explores first-generation student success, culturally responsive pedagogy, and deaf community advocacy. The RITE Lab's Think Tank program engages students in participatory action research, bridging academic inquiry with professional practice. Notable Projects: InterpNET Database, RITE Lab Research Teaching: Courses on interpreting ethics, history, and professional standards Lab Affiliations: SPaCE Research Center, RIT Libraries

Thilo Rehrenمشاهده پروفایل

استاد

• Archaeological Sciences
• Materials Science
• Archaeometry
• +۴ مورد دیگر

Thilo Rehren is the A.G. Leventis Professor for Archaeological Sciences at The Cyprus Institute's Science and Technology in Archaeology and Culture Research Center (STARC). He holds a PhD in Earth Sciences and has led major international research groups at institutions like UCL and UCL Qatar. His work focuses on reconstructing ancient technological processes, particularly metallurgy, glassmaking, and ceramic production, integrating archaeological, scientific, and historical data. He has pioneered studies on global metallurgical networks and early technical innovations in regions such as the Mediterranean, China, and sub-Saharan Africa. Education: MSc (mineralization of copper-silver mines) and PhD (volcanology of Nisyros, Greece). Career highlights include establishing UCL Qatar and co-directing the STARC lab. Research emphasizes cross-cultural collaboration and the socio-technical dynamics of material production. Publications span 40+ years, analyzing production techniques from Late Bronze Age Cyprus to Medieval Chinese glass workshops. His work challenges traditional narratives by highlighting the ingenuity of past artisans and the global interconnectedness of technical knowledge. Current projects investigate early metallurgy in the Balkans and glass production in West Africa. Labs/Teams: Leads STARC's interdisciplinary teams focused on archaeological materials science. Collaborates with global institutions on projects like the Meroe Quarries in Sudan and the Dhaskalio-Keros excavation in Greece.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

John McNamaraمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Cybersecurity
• Transportation Systems
• +۳ مورد دیگر

John McNamara is an IBM Master Inventor and Advanced Visiting Research Fellow at the University of Sheffield, holding Honorary Professorships at University College London (UCL) and Sheffield Hallam University. He specializes in interdisciplinary innovation across cybersecurity, transportation systems, and artificial intelligence, leveraging technologies like Cloud and Watson for Tech for Good initiatives. His roles include IBM Technical Specialist, IBM Thought Leader, and Open Group Distinguished Technical Specialist, with industry expertise spanning defense, finance, and healthcare sectors. Education: BSc (Hons) in Information Systems from the University of Hull. Research focuses on patentable inventions addressing complex event processing, automated systems optimization, and regulatory compliance. Key innovations include intelligent fuel management systems, automated style-checking frameworks, and goal-directed simulation tools for business processes. His work bridges academic research with real-world industry applications. Awards: IBM Master Inventor IBM Thought Leader Technical Specialist Open Group Distinguished Technical Specialist Collaborates with IBM UK University Programs to develop socially impactful technologies. Active in creating solutions for disease control, banking systems, and defense applications through cross-disciplinary partnerships.

Timo Speithمشاهده پروفایل

مدرس

• Machine Ethics
• Machine Explainability
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Timo Speith is a fixed-term Lecturer at the University of Bayreuth's Faculty of Cultural Studies, affiliated with the Professorship for Philosophy, Computer Science and Artificial Intelligence. He holds a B.A. in Philosophy and M.Sc. in Computer Science from Saarland University, where he also completed his doctoral studies in Philosophy. His research focuses on machine ethics, machine explainability (XAI), and non-speculative AI systems, alongside interests in ancient philosophy and the philosophy of science. He has contributed to interdisciplinary work on XAI evaluation methods, fairness in AI systems, and explainable hardware (XHW). Speith has organized workshops on explainable systems requirements engineering and co-authored a manifesto outlining XAI 2.0 challenges. His work bridges philosophy, computer science, and ethics to address AI transparency and accountability. Education: B.A. Philosophy, Saarland University M.Sc. Computer Science, Saarland University Ph.D. in Philosophy, Saarland University (2023 dissertation) Research Interests: Machine Ethics, XAI Methodology, AI Transparency, Philosophy of Science, Ancient Philosophy. Grants and Collaborations: Active in international workshops (e.g., RE4ES), IEEE conferences, and collaborations with institutions like Saarland University and the University of Bayreuth's Philosophy Institute. His work addresses practical and theoretical challenges in AI explainability across hardware and software systems. Lab/Team Affiliation: Associated with the Philosophy, Computer Science, and Artificial Intelligence research group at the University of Bayreuth, focusing on interdisciplinary AI ethics and technical implementation.

Ruben Martinsمشاهده پروفایل

استاد پژوهشی

• Constraint Programming
• Program Synthesis
• Software Analysis
• +۳ مورد دیگر

Ruben Martins is an Assistant Research Professor and Master’s Program Director at the School of Computer Science, Carnegie Mellon University. He holds a Ph.D. from the Technical University of Lisbon, followed by postdoctoral research at the University of Oxford and UT Austin. His work focuses on constraint programming, program synthesis, and formal verification, with applications in improving programmer productivity and automating data science tasks. Education: Ph.D. in Computer Science, Technical University of Lisbon (2013) Postdoctoral Researcher, University of Oxford (2014-2015) Postdoctoral Researcher, UT Austin (2015-2017) Ruben's research bridges constraint programming with program synthesis, aiming to automate tasks such as vulnerability detection, code repair, and SQL synthesis. He developed Open-WBO , a MaxSAT solver that won multiple gold medals and is used in real-world optimization scenarios like seating arrangements for events. His work integrates large language models (LLMs) with traditional methods to enhance software analysis and debugging. Awards: Distinguished Paper Award at PLDI 2018 Gold Medal in MaxSAT Competitions for Open-WBO Advising & Grants: Ruben advises Master’s students and directs courses such as 15639, 15604, and others. His research has been supported by grants focusing on program synthesis and cybersecurity. Labs/Teams: Leads development of Open-WBO and contributes to projects like Crabtree (Rust API testing) and Pryde (evasion attack analysis).

Steven Eppingerمشاهده پروفایل

استاد

• Product Design and Development
• Complex Technical Project Management
• Agile Software Development
• +۵ مورد دیگر

Steven Eppinger is a Professor of Management Science and Innovation at the MIT Sloan School of Management, holding the General Motors Leaders for Global Operations Chair. He focuses on interdisciplinary education and research in product design, systems engineering, and agile methodologies. His work bridges engineering and management, emphasizing complex project management and innovation processes. Educated at MIT (SB, SM, ScD in Mechanical Engineering), he has led major programs like SDM, IDM, LGO, and LFM. He co-authored Product Design and Development (7th/8th editions) and pioneered the Design Structure Matrix (DSM) methods. His research applies agile practices beyond software to hardware and systems engineering. He has received numerous awards, including the PICMET Medal of Excellence and POMS Distinguished Fellow. His executive courses cover systematic innovation and managing technical projects using DSM and agile frameworks. He co-directed the Center for Innovation in Product Development and served as Deputy Dean of MIT Sloan.

Bertram Ludäscherمشاهده پروفایل

استاد

• Data and Knowledge Management
• Scientific Workflows
• Data Provenance
• +۴ مورد دیگر

Bertram Ludäscher is a Professor at the School of Information Sciences at the University of Illinois, with affiliate appointments at the National Center for Supercomputing Applications (NCSA) and the Department of Computer Science. He leads the Center for Informatics Research in Science and Scholarship and directs the NSF-funded Euler project focused on logic-based taxonomic alignment. His research emphasizes scientific workflow systems, data provenance, and knowledge representation. Ludäscher co-founded the Kepler workflow system and contributed to DataONE’s provenance initiatives. He previously held roles at UC Davis and the San Diego Supercomputer Center. Education: PhD in Computer Science, University of Freiburg (1998) MS in Computer Science, Technical University of Karlsruhe (1992) Research Interests: Data and knowledge management, scientific workflows, provenance tracking, biodiversity data curation, and taxonomic reconciliation using logic-based methods. Ludäscher’s work bridges computational methods with biological and environmental sciences, focusing on reproducibility and interoperability in data-driven research. Recent Work Trends: His articles address provenance unification in databases, workflow automation recovery, and resolving taxonomic conflicts. Key themes include reproducibility frameworks (e.g., the Whole Tale project), ontology alignment, and scalable workflow systems for diverse scientific domains. Awards: 2018 ProvenanceWeek Best Paper, Google Scholar Classic Papers recognition. Advising & Grants: Leads NSF-funded projects like Euler and Kurator. Active in collaborative initiatives such as DataONE and the Whole Tale. Courses taught include data curation, workflow design, and data cleaning methodologies. Labs/Teams: Directs the Center for Informatics Research in Science and Scholarship and collaborates with NCSA on cyberinfrastructure projects. Key partnerships include the San Diego Supercomputer Center and UC Davis Genome Center.

Kevin Stangeمشاهده پروفایل

استاد

• Labor Economics
• Public Economics
• Education Economics
• +۴ مورد دیگر

Kevin Stange is a Professor of Public Policy and Education (by courtesy) at the University of Michigan's Ford School of Public Policy, where he serves as co-director of the Education Policy Initiative and director of the PhD Program. He is also a Research Associate at the National Bureau of Economic Research and a faculty affiliate of the Center for the Study of Higher and Postsecondary Education at the Marsal Family School of Education. His educational background includes: Bachelor of Science in Mechanical Engineering and Economics, Massachusetts Institute of Technology (1999) Ph.D. in Economics, University of California, Berkeley (2008) Stange's research focuses on empirical labor and public economics within education contexts. He investigates how higher education shapes labor market trajectories, geographic mobility, and responses to skill demand shifts. Current projects examine Michigan's financial aid programs and college major impacts on career outcomes, utilizing large-scale datasets like College and Beyond II to analyze postsecondary pathways and institutional effectiveness. His recent publications (2023-2025) emphasize college major effects on earnings inequality, financial aid efficacy, community college transfer pathways, and graduate mobility patterns. These works leverage administrative data to address policy-relevant questions about educational equity and labor market alignment. Key recognition includes: Robert Wood Johnson Scholar in Health Policy Research Stange has secured major funding from the U.S. Department of Education, National Science Foundation, Spencer Foundation, W.T. Grant Foundation, Robert Wood Johnson Foundation, and Russell Sage Foundation. During 2022-2023, he served as Senior Advisor to the Under Secretary at the U.S. Department of Education, applying his research expertise to federal policy. He co-directs the Education Policy Initiative, which produces evidence-based research for education practitioners, and spearheaded the College and Beyond II dataset containing 50 million course records from 19 universities. This resource enables comprehensive analysis of student pathways and institutional effectiveness across diverse higher education contexts.

• Experimental astroparticle physics
• Dark matter detection
• WIMP detection
• +۴ مورد دیگر

Matthew Szydagis is an Associate Professor in the Department of Physics at the University at Albany, State University of New York, where he conducts cutting-edge research in experimental astroparticle physics with a focus on dark matter detection. Education: PhD, University of Chicago, 2010 Postdoctoral Associate, University of California Davis, 2010-2014 Dr. Szydagis leads research efforts centered around the LZ (LUX-ZEPLIN) Dark Matter Experiment, the world's largest direct dark matter search project operating at the Sanford Underground Research Facility. His expertise lies in the physics of two-phase Xenon time-projection chambers and the development of sophisticated Monte Carlo simulation techniques to understand detector responses. In 2011, he created the NEST (Noble Element Simulation Technique) software package, which has become an essential tool for the broader scientific community working with noble element detectors. His research spans multiple disciplines including particle physics, astrophysics, and computational physics, with applications extending beyond dark matter research into neutrino physics and medical physics. Dr. Szydagis is an active member of the international LZ collaboration and leads the Dark Matter Research Group at the University at Albany. His work contributes significantly to establishing the world's most sensitive limits on dark matter interactions across a wide range of particle masses.

Savio Poovathingalمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Hypersonic Flows
• Gas-Material Interactions
• +۵ مورد دیگر

Savio Poovathingal is an Assistant Professor in the Department of Mechanical Engineering at the University of Kentucky, affiliated with the Stanley and Karen Pigman College of Engineering. His research focuses on computational thermophysics and fluid dynamics, particularly in hypersonic flows, thermal protection systems, and microscale gas-surface interactions. He leads the Computational Thermophysics and Fluids Laboratory and has held prior appointments as a Postdoctoral Researcher at Montana State University and a Research Fellow at the University of Michigan. Education: Ph.D., Aerospace Engineering with Minor in Chemistry, University of Minnesota (2016) M.S., Aerospace Engineering, University of Minnesota (2012) B.Tech. (B.S.), Mechanical Engineering, National Institute of Technology, Trichy, India (2010) Research interests span computational fluid dynamics (CFD), direct simulation Monte Carlo (DSMC), and experimental validation of hypersonic flow phenomena. His work addresses challenges in material response modeling under extreme thermal loads, including ablation mechanisms, radiative heat transfer in porous media, and multiphase flow interactions. Recent projects include trajectory reconstruction of the Kentucky Re-Entry Universal Payload System (KRUPS) and development of machine learning frameworks for predicting material degradation rates. Key technical contributions include micro-CT-based material property analysis, coupled fluid-structure simulation frameworks, and experimental studies of microparticle impacts on thermal protection systems. His publications highlight innovations in ablation modeling, radiative property quantification, and non-equilibrium flow simulations through porous TPS materials. Lab activities emphasize interdisciplinary collaboration between computational modeling, experimental validation, and aerospace engineering applications. Current efforts focus on advancing predictive tools for hypersonic re-entry systems and improving understanding of material behavior under extreme aerothermal conditions.

Vladimir Okhmatovskiمشاهده پروفایل

استاد

• Electromagnetics
• Computational Electromagnetics
• High-Performance Computing
• +۴ مورد دیگر

Dr. Vladimir Okhmatovski is a Full Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, affiliated with the Price Faculty of Engineering. His research focuses on fast algorithms in electromagnetics, quantum computing, and high-performance computing. He holds a Ph.D. from the Moscow Power Engineering Institute and has held academic and industry roles globally. He has received prestigious awards including the 2017 Intel Outstanding Researcher Award. Education: Ph.D., Antennas and Microwave Circuits, Moscow Power Engineering Institute, 1997 M.S., Radiophysics and Electronics, Moscow Power Engineering Institute, 1996 Research Interests: Dr. Okhmatovski develops advanced computational methods for electromagnetics, including tensor train decompositions and quantum algorithms. His work addresses challenges in signal integrity, layered media analysis, and inverse scattering. He leads efforts in applying quantum computing to solve matrix equations and has pioneered fast direct solvers using H-matrices. Awards: 2017 Intel Outstanding Researcher Award 1996 Best Young Scientist Report (VI International Conference on Mathematical Methods in Electromagnetic Theory) 2007 Outstanding ACES Journal Paper Award Advising & Grants: He mentors students in climate change research through collaborations with the Centre for Earth Observation Science. His funded projects include quantum computing applications and Arctic sea ice remote sensing. He chairs technical committees for IEEE MTT-S and AP-S. Labs/Teams: His research group focuses on electromagnetic modeling, quantum algorithms, and layered media analysis. Collaborations include the Churchill Marine Observatory for Arctic studies.

Zhuang Zhengمشاهده پروفایل

مدرس

• Smart Grids
• Building Energy Management
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Zhuang Zheng is a Lecturer (Assistant Professor) at the School of Computing, Engineering & Digital Technologies, Teesside University since April 2024. Previously, he served as a Postdoc Fellow at the Hong Kong Polytechnic University’s Department of Building Environment and Energy Engineering. He holds a PhD in Architecture and Civil Engineering from City University of Hong Kong (2021). His research focuses on smart energy systems, particularly next-generation residential energy management, grid-building interactions, urban-scale energy modeling, and cyber-physical-social frameworks for low-carbon systems. Education: PhD (2021) from City University of Hong Kong; Postdoc (2021–2024) at Hong Kong Polytechnic University. Key Research Interests: Smart grids, building energy management, renewable energy integration, and decarbonization technologies. Notable contributions include novel energy modeling techniques for peak shaving, voltage regulation, and multi-scale urban energy systems. Articles Trends: His work spans smart building controls, IoT-enabled energy systems, stochastic optimization, and safety risk evaluation. Recent focus areas include distributed control strategies for HVAC clusters and voltage regulation in smart grids. Collaborations: Collaborated with Hong Kong Sun Hung Kai and AECOM on commercial building energy flexibility projects. Actively contributes to international journals and conferences, including chairing sessions at the International Conference on Applied Energy (ICAE). Future Directions: Developing intelligent digitalization for building, power, and transportation sectors to advance smart low-carbon systems through socio-technical integration.