جست‌وجوی استاد و پژوهشگر

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.

Iñaki Esnaolaمشاهده پروفایل

مدرس ارشد

• Information Theory
• Machine Learning
• Cybersecurity
• +۶ مورد دیگر

Dr. Iñaki Esnaola is a Senior Lecturer at the Department of Automatic Control and Systems Engineering, University of Sheffield, and a Visiting Research Collaborator at Princeton University. He holds a MSc from the University of Navarra (2006) and a PhD from the University of Delaware (2011). His research focuses on information theory, machine learning, and cybersecurity, particularly in cyberphysical systems like smart grids. His work addresses data integrity, privacy, robust estimation, and optimal sensor placement. Research interests include: Information theory and data science, machine learning and high-dimensional statistics, cybersecurity (especially data injection attacks), privacy, robust estimation, and sensor placement optimization. Recent projects involve empirical risk minimization with regularization, stealth attacks on control systems, and compressive sensing for environmental monitoring. Key publications include studies on relative entropy in machine learning, sensor placement for sewer networks, and stealth attacks in smart grids. He leads a research group with ongoing projects in resilient cyberphysical systems and received a UKRI grant for advanced manufacturing. His work bridges theoretical foundations with real-world applications in energy systems and environmental monitoring.

Franziska Mathis-Ullrichمشاهده پروفایل

استاد

• Surgical Robotics
• Medical Robotics
• Artificial Intelligence in Medicine
• +۳ مورد دیگر

Prof. Dr. Franziska Mathis-Ullrich is a Professor at Friedrich-Alexander-University Erlangen-Nuremberg (FAU) leading the Surgical Planning and Robotic Cognition Lab (SPARC) in the Department of Artificial Intelligence in Biomedical Engineering. Previously, she was an Assistant Professor at Karlsruhe Institute of Technology (KIT) from 2019 to 2023. Her research focuses on minimally invasive robotic systems, soft robotics, and embedded machine learning for surgical applications. She holds a PhD in Microrobotics from ETH Zurich (2017), with earlier degrees from the same institution. Education: B.Sc. and M.Sc. in Mechanical Engineering and Robotics (ETH Zurich, 2009–2012) Ph.D. in Microrobotics (ETH Zurich, 2017) Research Interests: Minimally invasive medical robotics, soft robotic systems, AI-driven surgical assistance, microrobotics, and robot-assisted surgery. Her work emphasizes translating robotics innovations into clinical applications through interdisciplinary collaboration. Key Awards: IEEE ICRA Best Paper Award in Medical Robotics (2014) IEEE BioRob Best Student Paper Award (2016) ICRA Microassembly Challenge First Prize (2014 & 2015) Forbes 30 under 30 (2017) Grants & Projects: Leading a Bavarian State Ministry-funded project on endometriosis diagnostics (€3M). Active in multidisciplinary collaborations with Erlangen University Hospital. Serves as Vice-President of the German Society for Computer- and Robot-assisted Surgery (CURAC). Labs & Teams: Directs the SPARC Lab, which develops cognitive robotic systems for surgical planning and execution. Collaborates with institutions like Max Planck, Fraunhofer, and Helmholtz.

Daniela Calvettiمشاهده پروفایل

استاد

• Large Scale Scientific Computing
• Computational Inverse Problems
• Uncertainty Quantification
• +۴ مورد دیگر

Daniela Calvetti is the James Wood Williamson Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University. Her research focuses on large-scale scientific computing, computational inverse problems, uncertainty quantification, and predictive modeling in neuroscience, metabolism, and cellular physiology. She holds a PhD from the University of North Carolina-Chapel Hill. Her work integrates advanced mathematical techniques with biomedical applications, including brain energy metabolism modeling, MEG/EEG source reconstruction, and computational methods for medical imaging. Notable contributions include Bayesian hierarchical algorithms for inverse problems and interdisciplinary collaborations bridging mathematics with neuroscience and physiology. Recent research highlights include developing sparsity-promoting Bayesian models for tomography, computational frameworks for neuromuscular control variability, and predictive models of disease dynamics like post-pandemic COVID-19 recurrence. Her methodologies emphasize statistically inspired preconditioning and adaptive meshing techniques to enhance computational efficiency in solving complex inverse problems. Dr. Calvetti has published extensively across computational science, inverse problems, and biomedical applications. She leads a research group advancing interdisciplinary computational methods with applications in neuroscience, virology, and metabolic systems.

Shrimai Prabhumoyeمشاهده پروفایل

استادیار مدعو

• Large Language Models (LLMs)
• Machine Learning
• Natural Language Processing (NLP)
• +۴ مورد دیگر

Shrimai Prabhumoye is a Senior Research Scientist at NVIDIA's Applied Deep Learning Research group and an Adjunct Assistant Professor at Boston University. Her research focuses on advancing large language models (LLMs), particularly in enhancing their reasoning capabilities and ensuring safety through toxicity and bias reduction. She is a core contributor to the Nemotron family of LLMs, including the state-of-the-art Nemotron4-15B. Previously, she earned her PhD from Carnegie Mellon University (2021), advised by Prof. Ruslan Salakhutdinov and Prof. Alan W. Black, with a thesis on controllable text generation and computational ethics in NLP. Education: PhD in Machine Learning (CMU, 2021), MS in Language Technologies (CMU, 2017), Undergraduate at National Institute of Technology Karnataka, India. Research Interests: LLMs, controllable generation, ethical AI, bias mitigation, data curation, and model safety. Her work emphasizes rigorous evaluation frameworks and practical applications of NLP systems. Publications span key venues like EACL, ACL, NAACL, and EMNLP, with notable contributions to bias testing, toxicity control, and model scalability. She has been recognized as a Rising Star finalist in the VentureBeat Women in AI Awards 2022 and has led teams in competitions like the Alexa Prize. Labs/Teams: Part of NVIDIA's Applied Deep Learning Research Group and contributed to CMU's Computational Ethics for NLP initiatives. Active in mentoring students on projects like politeness transfer and dataset creation.

Eugene Vinitskyمشاهده پروفایل

استادیار

• Reinforcement Learning
• Multi-agent Learning
• Autonomous Vehicles
• +۲ مورد دیگر

Eugene Vinitsky is an Assistant Professor at NYU Tandon School of Engineering, holding joint appointments in Civil and Urban Engineering and Computer Science. His research develops multi-agent reinforcement learning systems for autonomous vehicles and traffic control, with applications in robotics and intelligent infrastructure. He directs the Computational Transportation Systems Lab and leads projects like CIRCLES on congestion reduction. Research Focus: Designs algorithms enabling complex behaviors through unsupervised agent interactions, human-AI compatibility, and environment synthesis for autonomous systems. Awards & Leadership: NSF Graduate Fellow (2016), Eisenhower Fellow (2018, 2020), and PI on multiple grants including Amazon Research Awards. Mentored 14+ graduate students and organized international RL conferences.

Martin Norgrenمشاهده پروفایل

استاد

• Electromagnetic Inverse Problems
• Material Characterization
• Biomedical Imaging
• +۳ مورد دیگر

Martin Norgren is a Professor at KTH Royal Institute of Technology, leading the Department of Electromagnetic Fusion Physics. His research focuses on electromagnetic inverse problems, including material characterization, biomedical imaging (e.g., brain current sources), environmental monitoring (e.g., snow and avalanche prediction), and smart grid technologies. He specializes in reconstructing object properties using electromagnetic measurements and has contributed to applications in healthcare, energy systems, and environmental science. His work involves advanced analytical and numerical methods such as mode-matching techniques, perturbation theory, and convex optimization. Notable projects include noncontact current measurement in power grids and transformer diagnostics using microwave radiation. Norgren teaches courses in electromagnetic field theory and electrical engineering design, emphasizing practical applications and interdisciplinary collaboration. Recent research trends highlight advancements in glide/twist symmetry-based metamaterial design, waveguide analysis, and inverse scattering techniques. His studies bridge fundamental physics with applied engineering, addressing challenges in energy infrastructure and medical diagnostics. As a department head, he oversees educational and research programs at KTH, fostering innovation in electromagnetism and fusion physics. His contributions to curriculum development include project-based courses integrating theory and hands-on design.

Sylvain Barbotمشاهده پروفایل

دانشیار

• Geophysics
• Fault Dynamics
• Seismology
• +۳ مورد دیگر

Sylvain Barbot is an Associate Professor of Earth Sciences at the University of Southern California (USC) Dornsife College of Letters, Arts and Sciences. His research focuses on understanding the physics of fault systems, earthquake mechanics, and tectonic processes. He holds a Ph.D. in Earth Sciences from Scripps Institution of Oceanography, University of California San Diego (2009), followed by postdoctoral training. His work integrates field observations, geodetic data analysis, and numerical modeling to study fault dynamics, frictional processes, and deformation in Earth's crust and upper mantle. Research interests include: Fault slip stability and earthquake nucleation Thermomechanical behavior of fault zones Seismic cycle modeling in subduction zones and continental margins Interactions between tectonic deformation and climate Remote sensing applications in geohazard assessment Recent studies analyze rupture segmentation, asthenosphere flow modulation during earthquake cycles, and the structural controls on seismic hazards. His computational tools, such as the Motorcycle numerical method, advance simulations of multi-fault systems. He has contributed to understanding the 2014 Iquique, 2023 Kahramanmaraş, and 2022 Kaikōura earthquakes through geodetic and mechanical analyses. No scientific awards were explicitly mentioned in the provided texts. He advises no listed students but collaborates on large-scale geodynamic projects. His work interfaces with international initiatives like the SEAS community code verification exercises for earthquake simulations.

Michael Carleyمشاهده پروفایل

مدرس ارشد

• Acoustics
• Aeroacoustics
• Boundary Element Method
• +۳ مورد دیگر

Michael Carley is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath. His research focuses on acoustics, aeroacoustics, boundary element methods (BEM), and numerical methods. He actively contributes to teaching aircraft stability and control, acoustics, and fluid dynamics. He is willing to supervise doctoral students in acoustics, vortex methods, and BEM applications. Dr. Carley has secured significant research funding, including EU Horizon 2020 grants for noise reduction in aviation and a Leverhulme Trust project on motorcycle helmet noise. His work spans collaborations in civil aviation, computational acoustics, and fluid dynamics modeling. Key research areas include rotor noise suppression, numerical methods for acoustic simulations, and metamaterial applications. He has published extensively on BEM advancements and noise shielding techniques. His projects emphasize practical engineering solutions, such as developing noise reduction technologies for eVTOL aircraft and optimizing acoustic metasurface designs. Grants: AERIALIST (EU Horizon 2020, 2017–2020): Focused on aircraft noise alleviation using metamaterials. Motorcycle Helmet Noise (Leverhulme Trust, 2010–2011): Investigated noise reduction strategies. Peer Review: Active reviewer for the Journal of the Acoustical Society of America (JASA Express Letters) and UK Research and Innovation (UKRI EPSRC).

• Industrial Ecology
• Material Flow Analysis
• Urban Metabolism
• +۵ مورد دیگر

Daniel Beat Müller serves as Professor at the Industrial Ecology Programme within the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim. His office is located at Realfagbygget Gløshaugen (E4-120) with contact details daniel.mueller@ntnu.no and +4791897755. His research centers on analyzing human needs in relation to material/energy flows and environmental impacts, with two primary focus areas: (i) urban evolution and associated material flows for managing building/infrastructure stocks, and (ii) national/global metal cycles to identify supply constraint reduction strategies. His methodology integrates design, modeling, and decision-making through transdisciplinary stakeholder engagement. Müller teaches Material Flow Analysis and Systems Analysis of the Built Environment for Industrial Ecology and Civil Engineering Master's students. His research outputs demonstrate strong trends in circular cities, critical mineral management, and urban metabolism, with recent publications emphasizing building information modeling, electric vehicle battery systems, and phosphorus cycling. His work consistently addresses resource criticality within energy transition contexts. As (ad interim) chair of the International Society of Industrial Ecology’s MFA-ConAccount section, he contributes to methodological standardization. He previously served on the U.S. National Research Council’s Committee on Defense Stockpiles and remains active in Switzerland's National Research Programme 65 "New Urban Quality". Müller supervises numerous Master's and doctoral students, with thesis topics spanning lithium-ion battery recycling, building stock dynamics, and urban resource flows. His projects frequently involve industry collaboration for practical implementation of material stewardship strategies.

Lu Jiaoمشاهده پروفایل

مدرس ارشد

• Management Accounting
• Organizational Performance
• Organizational Culture
• +۴ مورد دیگر

Lu Jiao serves as Senior Lecturer in the Department of Accounting and Corporate Governance at Macquarie University, Australia. With an h-index of 12 and 121 Scopus citations, her research significantly contributes to management accounting and organizational behavior literature, particularly within Australian nonprofit contexts. Her research portfolio spans: Management accounting practices and competitive advantage Organizational culture-revenue strategy interrelationships Transformational leadership accountability mechanisms Revenue growth drivers in nonprofit organizations Porter's competitive forces in performance management Traditional versus contemporary accounting practice impacts Recent publications (2023-2025) demonstrate methodological consistency through survey analysis and structural equation modeling, revealing how interactive/diagnostic controls moderate culture-performance relationships in Australian nonprofits. Her work increasingly examines holistic accountability frameworks while maintaining strong empirical focus on measurable organizational outcomes. Scientific Awards: No awards, fellowships, or medals documented in source materials Lu Jiao secured research funding as Chief Investigator for the 2016-2017 project "The effect of emotional intelligence and work values on job stress, wellbeing and academic performance of Australian accounting and finance academics," establishing collaborative networks with Harrison and Chen that yielded multiple high-impact publications. Current research shows sustained focus on nonprofit financial sustainability through management control innovations.

Matteo Fadelمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Information
• Atomic Physics
• +۳ مورد دیگر

Dr. Matteo Fadel is a Researcher in the Department of Physics at the University of Basel, working in the Quantum Optics Lab led by Prof. Philipp Treutlein. He completed his PhD (2014-2018) and Postdoc (2018-2021) in the same group, focusing on quantum many-body systems, entanglement, and quantum metrology. His research explores foundational aspects of quantum physics using ultracold atoms and hybrid atom-optomechanical systems, with applications in quantum technologies like quantum memories and sensors. Education: B.Sc. Physics, University of Padua (2008-2011) M.Sc. Physics, ETH Zurich (2011-2013) Key Research Interests: Entanglement in macroscopic systems (e.g., Bose-Einstein condensates) Einstein-Podolsky-Rosen steering and quantum nonlocality Quantum memories and optical storage in atomic vapor cells Hybrid quantum systems (e.g., atom-mechanical oscillator coupling) Publications Highlight: Recent work includes observing the EPR paradox in two Bose-Einstein condensates (2023), developing microfabricated quantum memories (2024), and studying spin squeezing in helium-3 (2021). These contributions bridge fundamental quantum physics with technological applications. Awards: Prix Schläfli 2019 (Swiss Academy of Sciences) Contributor to Paul Ehrenfest Best Paper Award 2017 Teaching: Fadel has contributed to courses such as Physik IV, Quantum Optics I, and Introductory Computational Quantum Mechanics at the University of Basel.

Vincenzo Liberatoreمشاهده پروفایل

دانشیار

• Smart Grid Technology
• Real-Time Network Control
• Distributed Systems
• +۳ مورد دیگر

Vincenzo Liberatore is an Associate Professor in the Department of Computer and Data Sciences at Case Western Reserve University’s Case School of Engineering, and currently serves as Associate Chair. His research focuses on smart grid technologies, real-time network control, distributed systems, and randomized algorithms. He holds a PhD and MS in Computer Science from Rutgers University (1998 and 1994), and a BS in Electrical Engineering from Sapienza University of Rome (1992). Dr. Liberatore developed the Energy Information Dashboard (EIDA) with FirstEnergy, an educational tool modeling electricity markets and grid dynamics. He has contributed to patents like the 2014 'High-Performance Streaming Dictionary.' His work spans publications in control systems, theoretical computer science, and energy grid communication. He has served on program committees for the Workshop on Factory Communication Systems (WFCS) and International Conference on Mobile Data Management (MDM). Teaching responsibilities include courses in computer science and engineering, reflecting his expertise in both academia and industry-relevant research.

Morten Ambye-Jensenمشاهده پروفایل

دانشیار

• Biorefinery Technology
• Sustainable Protein Production
• Environmental Engineering
• +۳ مورد دیگر

Morten Ambye-Jensen is an Associate Professor in the Department of Biological and Chemical Engineering at Aarhus University, specializing in biorefinery technology and sustainable protein production. His work focuses on optimizing green biorefining processes for agricultural residues to produce high-value products like biochar, proteins, and bio-based materials while minimizing environmental impact. Key research interests include: Development of integrated biorefinery systems for grasses and legumes Protein extraction from residual biomass for food and feed applications Life cycle assessment of bio-based technologies Waste-to-resource valorization strategies Climate-smart agricultural practices He leads or collaborates on major projects such as Green Valleys 2.0 (2023-2025) and ENTRANCE (2022-2025), which aim to create circular bioeconomies and reduce reliance on imported soybeans. His research also explores energy-efficient processing techniques and biochar applications in agriculture. Notable achievements include advancing fractionation technologies for alfalfa and grass-clover biomass, and demonstrating how pyrolysis integration can enhance biorefinery energy efficiency while producing valuable biochar.

Iolanda Costa Galinhaمشاهده پروفایل

استادیار

• Subjective Well-Being
• Cognitive Function
• Happiness
• +۱۲ مورد دیگر

Iolanda Costa Galinha is an Assistant Professor at the Faculty of Human Sciences, University of Porto, and a researcher at the Research Centre for Psychological - Family and Social Wellbeing (CRC-W). She holds a PhD in Psychology from the University of Porto, awarded in 2006, with a focus on cognitive, temperamental, and contextual factors of subjective well-being. Institution: University of Porto School: Faculty of Human Sciences Research Unit: Research Centre for Psychological - Family and Social Wellbeing (CRC-W) Academic Rank: Assistant Professor Her research is centered on psychological and social well-being, with a strong emphasis on subjective well-being, authenticity, cognitive function, and socioemotional development across the lifespan. She investigates both children and older adults, applying intervention-based methodologies such as guided imagery for schoolchildren and community singing programs for the elderly. Recent publications (2023–2025) reflect a consistent trend in randomized controlled trials assessing psychosocial and physiological outcomes of behavioral interventions. Her work integrates psychological theory with public health applications, particularly in educational and community settings. Keywords across her research include socioemotional learning, cognitive function, mental health, authenticity, and intervention efficacy. While no formal awards are listed in the provided text, her extensive publication record and leadership in multiple RCTs indicate significant scholarly impact. She has not received any explicitly mentioned scientific awards in the source material. Iolanda Costa Galinha supervises research and contributes to academic training, though specific student names are not listed. She has secured research activity over two decades, with continued output through 2025. Her work involves interdisciplinary collaboration, particularly in health psychology, gerontology, and education. She is involved in research labs and teams focused on psychological well-being, including the CRC-W, where she contributes to projects on mental health, cognitive development, and community-based interventions. Her recent trials (e.g., MindRegulation, Sing4Health) suggest leadership in designing and evaluating innovative psychosocial programs.