جست‌وجوی استاد و پژوهشگر

Shweta Singhمشاهده پروفایل

استادیار

• Artificial Intelligence
• Responsible AI
• Explainable AI
• +۷ مورد دیگر

Dr. Shweta Singh serves as an Assistant Professor of Information Systems and Management at Warwick Business School, University of Warwick. She concurrently holds prestigious appointments as a Fellow at the Warwick Institute for Global Sustainability Development (IGSD) and a Behavioral Data Science researcher at The Alan Turing Institute in London. Her academic journey includes a Ph.D. in Information and Decision Sciences from the Carlson School of Management at the University of Minnesota, complemented by dual Master's degrees in Computer Science and Applied Economics from the same institution. Ph.D. in Information and Decision Sciences, University of Minnesota Master's in Computer Science, University of Minnesota Master's in Applied Economics, University of Minnesota Dr. Singh's research centers on developing ethical and responsible artificial intelligence systems that address societal challenges. Her work specifically targets mitigating AI bias, creating explainable AI frameworks, and leveraging technology to combat societal injustice. She investigates how digital platforms, sharing economy models, and IT outsourcing create business value while ensuring these technologies promote sustainability and reduce inequalities. Her innovative approach combines technical AI expertise with deep social awareness, particularly focusing on gender equality and child protection in digital spaces. Her publication record demonstrates consistent high-impact contributions to Information Systems Research, International Conference on Information Systems, and related venues. The trajectory of her work shows increasing focus on practical applications of responsible AI, with recent projects addressing online child safety and human trafficking prevention. Her research increasingly intersects with policy development, as evidenced by her contributions to UK Parliamentary Office of Science and Technology briefs. Doctoral Dissertation Fellowship, University of Minnesota McNamara Fellowship, University of Minnesota Social Impact Project of the Year shortlist (2023) Asian Women of Achievement Award finalist (2023) British Indian Awards finalist (2019) Top 5 Women in Tech for Good Award shortlist (2022) Inspiring 50 UK recognition (2025) Dr. Singh actively mentors students and has been recognized with the Staff Social Inclusion Award (2024) for her teaching excellence. Her advisory roles extend beyond academia to include the UN Women UK delegation for the Commission on the Status of Women and the Advisory Board of AI retail company 'Love the Sales'. She serves as an external collaborator for Boston Consulting Group's Henderson Institute, bridging academic research with industry applications. Through her leadership in the ISM-Analytics (ISMA) Group at Warwick, Dr. Singh fosters interdisciplinary collaboration focused on creating socially responsible technological solutions. Her work with the IGSD specifically targets UN sustainability goals related to reducing inequalities and promoting inclusive societies through responsible AI implementation.

Miloš Rackovićمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Databases
• +۴ مورد دیگر

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

Colby C. Swanمشاهده پروفایل

استاد

• Computational Mechanics
• Topology Optimization
• Biomechanics
• +۳ مورد دیگر

Colby C. Swan is a Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, where he has been a faculty member since 1993. He leads the Swan Research Lab and maintains active memberships in ASCE, ASME, ISSMO, and USACM, contributing to computational mechanics and digital human modeling research. His educational background includes a PhD in Civil Engineering from Princeton University (1993), an MS in Ocean Engineering from the University of Miami (1985), and a BS in Civil Engineering from the University of Maine (1983). Professor Swan's research spans Computational Mechanics , Topology Optimization , and Biomechanics , with pioneering work on multi-scale computational clothing models for digital humans and structural topology optimization of compliant mechanisms. His lab develops physics-based simulation frameworks for applications in civil infrastructure, protective clothing design, and bone adaptation phenomena, integrating advanced computational methods with real-world engineering challenges. His publication trends reveal a sustained focus on digital human modeling (notably the Santos virtual human environment) and topology optimization, with significant contributions to continuum structural optimization, woven fabric mechanics, and human locomotion analysis. Recent work emphasizes virtual prototyping for protective systems and computational morphogenesis for structural design. American Society of Civil Engineers (ASCE) American Society of Mechanical Engineers (ASME) The Fiber Society International Society for Structural & Multidisciplinary Optimization (ISSMO) United States Association for Computational Mechanics (USACM) Professor Swan directs the Swan Research Lab, which collaborates on interdisciplinary projects involving computational modeling for engineering design and human performance analysis. His work bridges civil engineering with biomechanics through digital human simulation, particularly in protective gear development and structural optimization applications.

• Cardiovascular Diseases
• Chronic Disease
• Epidemiology Methods
• +۷ مورد دیگر

Dr. Yuan Lu serves as Assistant Professor of Medicine (Cardiology) and of Biomedical Informatics and Data Science and of Epidemiology (Chronic Diseases) at Yale School of Medicine. She is affiliated with multiple departments including Cardiovascular Medicine (primary appointment), Biomedical Informatics & Data Science, and Chronic Disease Epidemiology. Dr. Lu is also a key member of the Yale Center for Outcomes Research and Evaluation (CORE), where she collaborates with renowned researchers including Dr. Harlan Krumholz. Dr. Lu earned her ScD and MSc degrees in Global Health and Population from Harvard School of Public Health. Her educational background in epidemiology and global health has shaped her research trajectory at the intersection of cardiovascular disease prevention, clinical informatics, and digital health. Dr. Lu's research focuses on cardiovascular diseases prevention through implementation science, with particular emphasis on hypertension management, digital health interventions, and health equity. Her work leverages electronic health records from large healthcare systems to identify patients with persistent hypertension and design decision support systems to improve care. She has successfully completed an NHLBI K12 career development award in implementation science and currently serves as Principal Investigator for an NIH R01 grant leveraging real-world data from five electronic health record databases encompassing over 100 million US adults. Dr. Lu's publication portfolio demonstrates a strong focus on cardiovascular outcomes research, health disparities, and innovative treatment approaches. Her work spans clinical trials, epidemiological studies, and implementation science projects, with particular attention to racial and ethnic disparities in cardiovascular care. She has authored over 150 peer-reviewed publications in leading journals including The Lancet, JAMA, BMJ, Circulation, and JACC, with her work cited more than 50,000 times. Dr. Lu has received numerous honors including the 2022 John H. Laragh Research Award from the American Journal of Hypertension, and is a Fellow of both the American Heart Association and the American College of Cardiology. She currently serves as an Executive Associate Editor at JACC and has been recognized by Yale's Office of Health Equity Research for her contributions to health equity research. As a mentor, Dr. Lu advises multiple postdoctoral fellows, graduate students, and medical students. She has successfully completed an NHLBI K12 career development award and currently leads an NIH R01 grant focused on generating real-world evidence for hypertension treatment. Her collaborative work extends internationally, including groundbreaking projects between Yale University and the Chinese National Center for Cardiovascular Diseases in Beijing, such as the Millions Persons Project that assembles population health resources from 5 million individuals across China. Dr. Lu is actively involved with the Yale/YNHH Center for Outcomes Research and Evaluation (CORE), contributing to its mission of improving quality, transparency, and equity in healthcare. Her work exemplifies CORE's commitment to applying human-centered design, methodological rigor, and clinical insight to address pressing healthcare challenges.

Scott Ramsayمشاهده پروفایل

استادیار

• Concussion Research
• Pediatric Health
• Mental Health
• +۲ مورد دیگر

Dr. Scott Ramsay, RN, PhD, serves as an Assistant Professor in the School of Nursing within the Faculty of Applied Science at the University of British Columbia. His research focuses on pediatric concussion epidemiology, mental health outcomes, and Indigenous approaches to injury prevention, with extensive population-based studies conducted in British Columbia. His primary research interests include: Pediatric concussion follow-up care and health outcomes Mental health aspects of post-concussion syndrome Indigenizing injury prevention strategies Validation of concussion case definitions Health equity in concussion management Analysis of his 11 publications (2019-2025) reveals a consistent emphasis on optimizing follow-up care timing for children and youth, integrating Indigenous knowledge into prevention frameworks, and addressing methodological gaps in concussion research through epidemiological studies, integrative reviews, and critical commentaries. Contact: scott.ramsay@ubc.ca | Phone: 1.604.822.7432 | Office: T276, 2211 Wesbrook Mall, Vancouver, BC V6T 2B5

• Model Predictive Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control

Natalia Imad Khalafمشاهده پروفایل

استادیار

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +۳ مورد دیگر

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

Jeffrey W. Yokotaمشاهده پروفایل

دانشیار

• Aerospace Engineering
• Aerodynamics
• Fluid Dynamics

Dr. Jeffrey W. Yokota is an Associate Professor in the Department of Aerospace Engineering at Toronto Metropolitan University. His career bridges aerospace engineering expertise with a passion for education, having previously worked at NASA. He specializes in aerodynamics and fluid dynamics, mentoring students in advanced aerospace topics. Education: PhD in Aerospace Engineering from Cornell University (1987) BEng in Aerospace Engineering from McGill University (1983) Research Interests: Dr. Yokota focuses on aerodynamics and fluid dynamics, particularly boundary layer control and flow separation phenomena. His work integrates aerospace design principles with advanced mathematical methods. Publications: His research includes studies on boundary layer transition control, contributing to aerospace design optimization and gas dynamics. The complex-lamellar approach remains a key methodological focus. Scientific Awards: SAE Ralph R. Teetor Award CASI F.W. Casey Baldwin Award Teaching & Impact: Dr. Yokota teaches courses like AER 504 (Aerodynamics), AER 622 (Gas Dynamics), and AER 721 (Orbital Dynamics). He prioritizes student mentorship, with stories of profoundly impacting students' academic trajectories, such as preventing a student from quitting engineering through personalized guidance.

Ben K. Grunwaldمشاهده پروفایل

استاد

• criminal law
• criminal procedure
• constitutional law
• +۴ مورد دیگر

Ben K. Grunwald serves as Professor of Law at Duke University School of Law, where he has been a faculty member since 2017 after completing a Bigelow Fellowship at the University of Chicago Law School. His scholarly work bridges legal theory and empirical analysis to address critical issues in criminal justice systems. JD, PhD in Criminology, AM in Statistics, and BA from the University of Pennsylvania Clerked for the Honorable Thomas Ambro on the U.S. Court of Appeals for the Third Circuit Bigelow Fellow at the University of Chicago Law School (2016-2017) Professor Grunwald's research program centers on evidence-based criminal justice reform, with particular emphasis on prosecutorial power dynamics, sentencing fairness, juvenile justice boundaries, and police accountability mechanisms. His methodological approach integrates advanced statistical techniques with legal scholarship to produce actionable insights for policymakers. Current projects examine racial bias in criminal records, optimal decarceration strategies, and the labor market consequences of police discipline. His recent publications demonstrate a consistent focus on translating empirical findings into practical legal reforms, particularly in law enforcement practices and juvenile justice systems. Through interdisciplinary collaborations with criminologists and statisticians, his work challenges conventional wisdom using rigorous data analysis while maintaining strong connections to constitutional principles and procedural justice. Professor Grunwald teaches foundational courses including Criminal Law and Criminal Procedure: Investigation, along with specialized seminars in Criminology and Criminal Procedure that emphasize empirical methodologies. His curriculum development reflects his commitment to training future lawyers in evidence-based legal practice and policy analysis.

Christopher D. Abrahamمشاهده پروفایل

دانشیار

• Radiation Oncology
• Neuro-Oncology
• Brain Tumor Treatment
• +۴ مورد دیگر

Christopher D. Abraham, MD is an Associate Professor of Radiation Oncology and Associate Professor of Medicine at Washington University School of Medicine in St. Louis. He is affiliated with the Siteman Cancer Center, Brain Tumor Center, and Institute of Clinical and Translational Sciences (ICTS). Dr. Abraham practices at multiple locations including the Center for Advanced Medicine Radiation Oncology Center, Barnes-Jewish West County Hospital, and Siteman Cancer Center – North County. His clinical work focuses on radiation oncology with expertise in treating brain tumors and other cancers. Dr. Abraham completed his Medical Degree at Saint Louis University School of Medicine in 2011 and his Residency in Radiation Oncology at Barnes-Jewish Hospital and Washington University School of Medicine in 2016. He earned his BS in Radiologic Science from the Medical College of Georgia in 2004. Dr. Abraham's research focuses on advancing radiation therapy techniques, particularly in stereotactic radiosurgery for brain metastases, hippocampal-avoidance whole brain radiation therapy, and innovative approaches for glioblastoma treatment. His work demonstrates a strong emphasis on optimizing radiation delivery while minimizing neurocognitive side effects. He has pioneered simulation-free radiation therapy techniques that expedite treatment planning, particularly for palliative care patients. His research also explores the integration of AI and large language models in radiation oncology workflows and insurance appeals processes. Analysis of Dr. Abraham's recent publications reveals a clear research trajectory focused on improving precision in radiation therapy for brain tumors, with particular attention to hippocampal protection, adaptive planning techniques, and combined modality approaches. His work spans clinical trials, technical innovations in treatment planning, and translational research connecting imaging with treatment outcomes. The increasing citation counts of his work, particularly his 2023 paper on simulation-free radiation therapy which has 34 citations, demonstrates growing impact in the field. While specific awards are not listed in the provided information, Dr. Abraham's work has accumulated 536 citations according to Scopus metrics, indicating significant scholarly impact. His research has been referenced in clinical guidelines and policy sources, demonstrating translational relevance to clinical practice. Dr. Abraham actively collaborates with multidisciplinary teams including neurosurgeons, medical oncologists, and physicists. His work on the NRG Oncology/RTOG 0631 trial demonstrates involvement in large cooperative group studies. He has contributed to efforts examining insurance policy adherence to radiation oncology guidelines, showing engagement with healthcare systems issues. As a key member of the Brain Tumor Center at Siteman Cancer Center, Dr. Abraham participates in comprehensive brain tumor care teams that integrate surgical, medical, and radiation oncology approaches. His work with the Institute of Clinical and Translational Sciences highlights his commitment to translating research findings into clinical practice. Current research directions include exploring simulation-free radiation therapy techniques, optimizing hippocampal-sparing approaches, and investigating novel combinations of radiation with immunotherapies.

Siegfried Egglمشاهده پروفایل

استادیار

• Astrodynamics
• Planetary Defense
• Celestial Navigation
• +۶ مورد دیگر

Siegfried Eggl is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign , with additional affiliations as an Affiliate Faculty in the Department of Astronomy (2022–present) and the National Center for Supercomputing Applications (NCSA) (2021–present). His research bridges astrodynamics, planetary defense, and celestial navigation, focusing on spacecraft trajectory optimization, asteroid deflection, and autonomous navigation systems. Education: B.S., Astrophysics, University of Vienna (2005) M.S., Astrophysics, University of Vienna (2008) M.S., Computational Physics, University of Vienna (2009) Ph.D., Astrophysics, University of Vienna (2013) Research Interests: Eggl investigates astrodynamics for planetary defense, including momentum transfer in asteroid impacts (e.g., NASA’s DART mission). He develops algorithms for celestial navigation using variable stars and studies space domain awareness to address satellite constellation interference. His work also explores dynamical systems in binary star environments and computation/data-driven approaches to orbital mechanics. Recent Publications highlight advancements in planetary defense simulations , celestial navigation algorithms , and asteroid impact dynamics . Topics include state transition matrix computation , ejecta momentum analysis , and binary asteroid system modeling . Scientific Awards: LSST Architect Award (2021) Space Foundation 2023 Space Achievement Award (DART Team) AIAA Award for Engineering Excellence (DART Team, 2023) Asteroid 2000 GT167 named 'Eggl' (2023) 2024 Engineering Council Outstanding Advisors Best paper award at AIAA Guidance, Navigation, and Control Conference (2024) Eggl contributes to professional societies such as the AIAA , American Astronomical Society (Division on Dynamical Astronomy) , and International Astronomical Union , where he co-leads the Centre for the Protection of the Dark and Quiet Sky. His APEX research group at UIUC focuses on planetary defense and astrodynamics.

• Integrated Circuits
• Signal Processing
• Data Analytics
• +۴ مورد دیگر

Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University and serves as the Associate Vice Chancellor at Duke Kunshan University. He holds a Ph.D. from Carnegie Mellon University (2005) and has held leadership roles in research consortia like the FCRP Focus Research Center and the Center for Silicon System Implementation (CSSI). His research bridges integrated circuits , machine learning , and cyber-physical systems , with applications in autonomous driving, battery lifetime prediction, and smart buildings. Education : Ph.D., Carnegie Mellon University (2005); M.S., Fudan University (2001); B.S., Fudan University (1998) His work emphasizes robust design methodologies for analog/RF circuits, data-driven predictive modeling , and Bayesian inference for high-dimensional variation spaces. Recent publications focus on generative adversarial networks for circuit design, multi-view imputation for incomplete data, and knowledge-driven autonomous systems . He has received numerous accolades, including the NSF CAREER Award (2012) , IEEE Donald O. Pederson Best Paper Awards (2013, 2016) , and IEEE Fellow (2017) . He has served as Editor for journals like IEEE Transactions on Biomedical Engineering and as Chair for conferences including ISVLSI and CAD/Graphics.

Zak Mansouriمشاهده پروفایل

مدرس ارشد

• Combustion Engineering
• Aerospace Propulsion
• Gas Turbines
• +۵ مورد دیگر

Dr. Zak Mansouri serves as a Senior Lecturer in Aerospace Engineering at Nottingham Trent University's School of Science & Technology, where he acts as Course Director for Aerospace Engineering and leads the Development and Diagnostic of Alternative Fuels (DDAF) Laboratory. A core member of the Imaging, Materials and Engineering Research Centre (IMEC), he oversees critical engineering modules including Solid Mechanics & Dynamics and Advanced Dynamics & Vibration as Module Leader, shaping curriculum for undergraduate and postgraduate aerospace programs. His academic foundation includes a PhD from Algeria's University of Laghouat (2016), doctoral research at France's CNRS, and postdoctoral work at the French Alternative Energies and Atomic Energy Commission. Key milestones: PhD in Combustion Engineering, University of Laghouat (2016) Doctoral Researcher, CNRS France (2013-2016) Postdoctoral Researcher, CEA France (2016-2017) Mansouri's research pioneers net-zero combustion technologies, with current focus on iron fuel systems (funded by The Royal Society), hydrogen combustion dynamics, and aerothermal optimization of gas turbines. His expertise bridges experimental diagnostics and computational fluid dynamics to address combustor-turbine interactions in next-generation aero engines, directly supporting global decarbonization efforts in aerospace and energy sectors through industry-academic partnerships. Analysis of his 2021-2025 publications reveals a cohesive research trajectory centered on turbine performance under non-ideal conditions, with growing emphasis on alternative fuels. His work consistently targets aerothermal challenges in gas turbines—particularly hot-streak and swirl effects—while expanding into micro-combustion systems for hydrogen and metal powders, demonstrating a strategic shift toward scalable net-zero propulsion solutions. His scientific recognition includes: ANR Research Fellowship (2017) for low-carbon combustion technology (€50,000) Mansouri secures competitive funding from The Royal Society and previously from French National Research Agency, with industrial consultancy contributions to €2.5M projects at GE Renewable Energy modernizing hydropower infrastructure. He actively supervises PhD candidates through NTU's Doctoral School, prioritizing projects in sustainable combustion and turbomachinery, and maintains open collaboration channels for industrial R&D partnerships. He directs the DDAF Laboratory's experimental research on alternative fuel diagnostics and leverages IMEC's multidisciplinary facilities for thermal-fluid investigations. His global network integrates industrial partners (Lanemark, ArcelorMittal, TSI) with academic institutions across France and Algeria, driving innovation in turbine cooling systems and zero-emission combustion through shared expertise in computational modeling and experimental validation.

Ullrich Mönichمشاهده پروفایل

پژوهشگر

• Signal Processing
• Wireless Communications
• Machine Learning
• +۷ مورد دیگر

Dr.-Ing. Ullrich Mönich is a Senior Researcher and Lecturer at the Technical University of Munich (TUM) , affiliated with the Chair of Theoretical Information Technology and leading research activities at the Advanced Communication Systems and Embedded Security Lab (ACES Lab) . Since 2019, he has been instrumental in shaping experimental and theoretical research in 6G communications, physical layer security, and signal processing. Education: Dr.-Ing. in Electrical Engineering, Technische Universität München (2011) – supervised by Prof. Holger Boche Previous affiliations include MIT (2012–2015) and TU Berlin Research Focus: His research spans signal processing, wireless communications, machine learning, and sampling theory , with a strong emphasis on physical layer security , computability in signal processing , and 6G communications . He explores theoretical foundations and practical implementations, including neuromorphic computing, digital twinning, and secure modular coding schemes. Publications & Trends: His recent publications (2023–2025) are heavily concentrated in 6G communications , integrated sensing and communications (ISAC) , semantic physical layer security , and digital twinning . These works often combine theoretical analysis with experimental validation using 5G/6G testbeds and neuromorphic hardware. Teaching & Supervision: Regularly teaches "Foundations of Analog, Digital, and Quantum Computers" (tutorials since 2018) Previously taught "Applied Functional Analysis" and "Advanced Signal Theory" Involved in practical courses like "Software Defined Radio Laboratory" Labs & Teams: He leads the ACES Lab at TUM, which focuses on experimental validation of advanced communication systems, including physical layer security, neuromorphic computing, and 6G testbeds. The lab collaborates with national and international partners, including MIT, and is supported by major funding bodies such as the German Federal Ministry of Education and Research (BMBF) and the German Research Foundation (DFG).

• International Macroeconomics
• International Trade
• Monetary Policy
• +۲ مورد دیگر

Paul R. Bergin is a Professor of Economics at the University of California, Davis, holding a Ph.D. from Yale University (1996). He maintains professional affiliations with the National Bureau of Economic Research (NBER) and the Kiel Institute, reflecting his prominence in international economics research. Education: Ph.D. in Economics, Yale University, 1996 Research Interests: Professor Bergin specializes in International Macroeconomics, with core expertise in international trade dynamics, monetary policy transmission in open economies, and exchange rate volatility. His work investigates how financial frictions affect trade patterns, the macroeconomic implications of tariff policies, and the relationship between currency undervaluation and comparative advantage. He employs both theoretical DSGE modeling and empirical analysis to address critical questions in global economic stability. Analysis of his recent publications reveals a strong focus on trade-policy interactions with monetary frameworks, particularly regarding tariff shocks and sectoral adjustments. His research consistently bridges theoretical macroeconomics with practical policy implications, demonstrating how capital account policies influence growth trajectories and how structural economic changes affect trade volatility. This thematic continuity underscores his contribution to understanding globalization's evolving macroeconomic dimensions. Professional Affiliations: National Bureau of Economic Research (NBER) Kiel Institute for the World Economy