جست‌وجوی استاد و پژوهشگر

• Quantum Transport in Nanostructures
• Nanoscale Thermodynamics
• Quantum Dot Systems
• +۳ مورد دیگر

Janine Splettstösser is a Professor of theoretical physics at Chalmers University of Technology, where she directs the Nano Area of Advance and leads the Applied Quantum Physics Group . She previously held academic positions at RWTH Aachen University (2009) and the University of Geneva as a postdoc. Education: Diplom (2003) from Karlsruhe Institute of Technology, PhD (2007) from Scuola Normale Superiore di Pisa and Ruhr-Universität Bochum Current Research: Quantum transport in nanostructures, nanoscale thermodynamics, dynamical transport properties Research Trends in her recent work include: Quantum thermodynamics and non-equilibrium fluctuations Coherent control in optomechanical and quantum dot systems Fluctuation-dissipation relations in mesoscopic devices Thermoelectric performance of nanoscale heat engines Scientific Recognition : ERC Consolidator Grant recipient Wallenberg Academy Fellow Mercator Fellow at University of Regensburg Her projects include On-chip waste recovery in quantum and nanoscale devices (2024-2028) and Thermodynamic constraints in quantum systems (2020-2023).

Amor Menezesمشاهده پروفایل

استادیار

• Systems Biology
• Synthetic Biology
• Control Systems
• +۵ مورد دیگر

Amor Menezes is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at the University of Florida. He leads the SYBORGS Laboratory and serves as the Science Principal Investigator for NASA's Center for the Utilization of Biological Engineering in Space (CUBES), focusing on biomanufacturing for deep space exploration. His research integrates dynamical systems theory, control engineering, and synthetic biology to address challenges in trauma care, infectious disease, and space colonization. Education: PhD (2010) and MSE (2006) from the University of Michigan, Postdoc at UC Berkeley (2011-2016), and B.A.Sc. (2005) from the University of Waterloo. He has held roles including QB3 Postdoctoral Scholar and Research Fellow at the University of Michigan's Aerospace Engineering Department. Research interests span synthetic biology applications in biomanufacturing, control-oriented coagulation models for trauma treatment, and systems engineering for Mars colonization. His work bridges biomedical systems and space technology, emphasizing closed-loop bioprocessing and autonomous medical systems. Awards/Honors: 2015 Emerging Leader in Biosecurity 2015 Synthetic Biology Leadership Excellence Accelerator Program Fellow IEEE Senior Member NSERC Post-Graduate Scholar Michigan Teaching Fellow Milo E. Oliphant Fellow (2006) University of Waterloo Dean's Honors (2005) Advising/Grants: Leads the CUBES Center and oversees interdisciplinary teams in synthetic biology and biomanufacturing. His grants include NASA's Space Technology Research Institute (STRI) funding for long-term Mars exploration systems. Labs/Teams: Director of the SYBORGS Lab, which develops autonomous bioproduction systems and control algorithms for medical and space applications.

GIULIA BUODOمشاهده پروفایل

دانشیار

• Clinical Psychology
• Emotional Processing
• Psychopathology
• +۷ مورد دیگر

Giulia Buodo is an Associate Professor at the Department of General Psychology of the University of Padova. Her research focuses on Experimental Clinical Psychology , emphasizing emotional processing, psychopathology, and vulnerability factors in anxiety and mood disorders. She investigates psychophysiological self-regulation techniques like biofeedback and neurofeedback, alongside attentional-emotional regulation mechanisms. Her work integrates psychophysiological measures such as heart rate variability (HRV) and ERP/EEG neuroimaging to study emotional reactivity in contexts like human-robot collaboration, social media addiction, and occupational stress. Recent studies explore how conditioned cues drive problematic digital behaviors and how autonomic responses predict psychological outcomes in high-stress scenarios. Key research themes include: Psychophysiological correlates of anxiety/mood disorders Human-robot interaction stress adaptation Cue reactivity in addiction and trauma Autonomic nervous system biomarkers for mental health Her 2023-2025 publications highlight trends in: Technology-mediated psychological effects (e.g., social media, robotics) HRV as a resilience biomarker Cognitive-behavioral mechanisms in addiction No scientific awards are explicitly listed. Her work bridges clinical psychology with neurophysiological methods, contributing to translational mental health interventions.

• Neuroscience
• Psychiatry
• Behavioral Neuroscience
• +۶ مورد دیگر

Nils Kroemer is a Professor of Medical Psychology at the University of Bonn’s Department of Psychiatry and Psychotherapy, leading the Section of Medical Psychology. He also serves as Group Leader at the University of Tübingen’s Department of Psychiatry and Psychotherapy and is a Principal Investigator at the German Center for Mental Health (DZPG). Kroemer’s research focuses on the neurobiological mechanisms of motivation, action, and desire, with translational applications to psychiatric disorders such as depression and obesity-related conditions. Education: He earned a Diplom in Psychology from TU Chemnitz (2009) and a PhD in Psychology from TU Dresden (2013). Postdoctoral training included work at TU Dresden, Yale University, and the John B. Pierce Laboratory under Prof. Dana Small. Research interests span reward processing, effort-based decision-making, and the role of gut-brain signaling (e.g., ghrelin, dopamine) in psychiatric and metabolic disorders. His lab, neuroMADLAB, employs computational modeling, neuroimaging, and neuromodulation techniques (e.g., vagus nerve stimulation) to bridge basic neuroscience and clinical applications. Recent articles highlight advancements in vagus nerve stimulation for mood regulation, metabolic state modulation, and decision-making in depression. His work emphasizes the interplay between neural circuits, hormonal signals, and behavioral outcomes. Awards: Werner Straub Award (2014), DFG IZKF Junior Research Group (2017), DGPPN Research Award (2023). Grants: DFG-funded projects on ghrelin and vagus nerve stimulation. Labs: neuroMADLAB (Tübingen/Bonn), Translational Psychiatry Section (Tübingen).

• Formal Methods
• Safety-Critical Systems
• Probabilistic Verification
• +۴ مورد دیگر

Sebastian Junges is an Assistant Professor in the Software Science Group at Radboud University, Nijmegen, since 2021. He holds a PhD in Computer Science from RWTH Aachen University (2020), and previously worked as a PostDoc at UC Berkeley (2020-2021) and a Research Assistant at RWTH Aachen (2015-2020). His research focuses on formal methods for analyzing safety-critical systems, particularly using extensions of Markov decision processes (MDPs) to ensure dependability in automated systems like network protocols, hardware architectures, and robotics. Education: PhD in Computer Science, RWTH Aachen University, 2020 M.Sc. in Computer Science, RWTH Aachen University, 2015 B.Sc. in Computer Science, RWTH Aachen University, 2012 His research interests include probabilistic verification, policy synthesis for MDPs, and the intersection of formal methods with artificial intelligence. He has contributed to tools like the Storm probabilistic model checker and led projects on scalable analysis of probabilistic models. His work addresses challenges like ensuring safe decision-making in autonomous systems and certifying compliance with safety standards through rigorous algorithmic approaches. Publications focus on advancing MDP analysis, POMDPs, and robust policy synthesis. Recent trends include integrating uncertainty management, decision-tree-based approaches, and compositional verification techniques. He actively contributes to conferences like CAV, AAAI, and TACAS, and serves on program committees and steering groups for formal methods and AI.

• Structural Health Monitoring
• Vibration Control
• Statistical Energy Analysis
• +۳ مورد دیگر

Antonio Culla is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome. His research focuses on structural health monitoring, vibration control, and nonlinear dynamics. He specializes in applying advanced analytical techniques to mechanical systems, robotics, and biomedical engineering. His work includes developing algorithms for damage detection in infrastructure and studying collective behavior in biological systems like bird flocks. Culla also explores energy harvesting from vibrations and acoustic optimization in aerospace structures. Key projects include the SUNMARE marine vehicle and OPTYRE tire performance analysis. His methodologies combine statistical energy analysis (SEA), machine learning, and experimental validation. He has contributed to interdisciplinary fields such as biomechanics, robotics, and materials science, with a strong emphasis on real-world applications in automotive, aerospace, and civil engineering sectors.

Peter Stoneمشاهده پروفایل

استاد

• Reinforcement Learning
• Multiagent Systems
• Robotics
• +۷ مورد دیگر

Peter Stone is a Professor of Computer Science at The University of Texas at Austin, holding the Truchard Foundation Chair. He leads the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory and serves as Director of Texas Robotics and Associate Department Chair. His research focuses on reinforcement learning, multiagent systems, and robotics, emphasizing adaptive and interactive intelligent agents. Stone earned his Ph.D. from Carnegie Mellon University and has held roles at Sony AI as Chief Scientist and Cogitai, Inc. as co-founder. Education: Ph.D. in Computer Science (Carnegie Mellon University, 1998), B.S. in Mathematics with Computer Science (University of Chicago, 1993). Research Interests: Reinforcement Learning, Multiagent Systems, Robotics, AI Planning, and Ethical AI. His work addresses challenges in autonomous agents, including robot soccer, autonomous vehicles, and Gran Turismo racing, often leveraging real-world applications. Recent Articles: Focus on reinforcement learning advancements, multiagent coordination, and real-world robotics deployments. Notable works include champion-level autonomous driving agents and proto successor measure theory. Awards: ACM/SIGAI Industry Award, multiple Sony Technology Awards, ACM and IEEE Fellowships, and teaching accolades like the Minnie Stevens Piper Professorship. Advising: Supervised over 50 Ph.D., master’s, and undergraduate students, contributing widely to AI and robotics research. Current projects include the UT Austin Villa robot soccer team and Sony AI collaborations. Labs/Teams: LARG, Texas Robotics, and Sony AI. Active in RoboCup competitions and AI policy initiatives like the One Hundred Year Study on Artificial Intelligence.

Karthik Pattabiramanمشاهده پروفایل

استاد

• Dependable Computer Systems
• Computer Security
• Cyber-Physical Systems
• +۱ مورد دیگر

Karthik Pattabiraman is a Professor and Associate Head (Graduate Affairs) in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), Canada. He holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), an MS from UIUC, and a B.Tech from the University of Madras. His research focuses on dependable computer systems, computer security, cyber-physical systems, and software engineering. He has led the Dependable Systems Lab and other research groups like RADICAL and LERSSE. Education: PhD (UIUC, 2009), MS (UIUC, 2004), B.Tech (University of Madras, 2001). Postdoctoral research at Microsoft Research (2009). Research Interests: Dependable systems, security in cyber-physical systems, software reliability, and edge computing. His work includes fault injection frameworks (e.g., TensorFI, BinFI), resilience techniques for ML systems, and intrusion detection in robotic vehicles. Awards: Inaugural Rising Star in Dependability Award (2020), UBC Killam Research Prize (2018), IEEE/IFIP DSN Best Paper (2021), and recognition for contributions to dependability and security. Lab Activities: Dependable Systems Lab, Real-Time and Dependable Computing Lab (RADICAL), Secure Systems Engineering (LERSSE), and Software Analysis and Testing (SALT) Lab. Current sabbatical at Meta (2024-2025).

Gerald Jay Sussmanمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Languages
• Computer Architecture
• +۶ مورد دیگر

Gerald Jay Sussman is the Panasonic Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT). He received his S.B. (1968) and Ph.D. (1973) in mathematics from MIT and has been conducting artificial intelligence research there since 1964. His primary research focuses on understanding problem-solving strategies used by scientists and engineers, with dual goals of automating these processes and formalizing educational methodologies. He co-directs the Sussman Lab at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research spans artificial intelligence, computer languages, VLSI design, computational classical mechanics, synthetic biology, and telescope engineering. Notable contributions include co-creating the Scheme programming language, developing AI-based CAD tools for VLSI, designing the Digital Orrery for orbital mechanics simulations, and pioneering computational approaches to teaching classical mechanics. His current work includes developing explainable AI systems for autonomous vehicles. Professor Sussman's publications demonstrate broad interdisciplinary impact, with recent works spanning computer science education, software design, computational physics, and synthetic biology. His research consistently bridges theoretical computer science with practical engineering applications and educational innovation. Scientific Awards & Honors: Karl Karlstrom Outstanding Educator Award (ACM, 1990) Amar G. Bose Award for Teaching (MIT, 1992) IEEE EAB Major Education Innovation Award (2023) Taylor L. Booth Education Award (IEEE, 2024) National Academy of Engineering Member Fellow: IEEE, AAAI, ACM, AAAS, American Academy of Arts and Sciences He has supervised 46 PhD students spanning five decades, with dissertations covering AI, computer architecture, computational biology, and physical system modeling. His Sussman Lab develops computational tools for science education and engineering design, including contributions to the Magellan telescopes in Chile. Current projects involve explainable AI systems and computational mechanics frameworks.

Corsin Battagliaمشاهده پروفایل

استاد مدعو

• Sustainable Energy Storage
• Lithium-Ion Batteries
• Sodium-Ion Batteries
• +۴ مورد دیگر

Corsin Battaglia is an Adjunct Professor at ETH Zurich (Department of Information Technology and Electrical Engineering) and EPFL (School of Engineering, Institute of Materials), while directing the Materials for Energy Conversion laboratory at Empa. His research focuses on sustainable battery technologies including next-generation lithium-ion, sodium-ion, and post-lithium systems, as well as CO₂ electrochemical conversion to synthetic fuels. Education: Ph.D. in Physics from Université de Neuchâtel, followed by postdoctoral research at EPFL, UC Berkeley, and Lawrence Berkeley National Labs. Joined Empa in 2014. Research Interests: Advanced battery materials (electrolytes, electrodes) CO₂-to-fuel electrochemical processes Scalable battery manufacturing technologies Operando characterization techniques Publications: Over 200 peer-reviewed articles and 8 patents, focusing on electrolyte design, electrode fabrication, and electrochemical reaction mechanisms. Recent work emphasizes robotic automation in materials discovery and high-throughput experimentation. Leadership Roles: President of Swiss Battery Association (iBAT), member of Alistore-ERI, Swiss representative in Battery2030+, and founding member of Battery European Partnership Association. Advising: Current PhD students include Claudia Bissattini and Julia Lorenzetti; past advisees include Daniel Landmann and David Reber. Teaches courses on charge transport in energy systems at EPFL. Infrastructure: Empa lab specializes in advanced characterization tools like muon-induced X-ray emission (MIXE) and operando synchrotron X-ray scattering.

• Sociology of Islam
• Social Theory
• Religion and Reform
• +۵ مورد دیگر

Syed Farid Alatas is a Professor in the Department of Sociology and Anthropology at the National University of Singapore, where he has taught since 1992. Previously head of the Department of Malay Studies at NUS (2007-2013), his research explores the sociology of Islam, social theory, religion and reform, inter-religious dialogue, and the political economy of knowledge production. His scholarly work critically engages with Eurocentrism and promotes autonomous knowledge traditions. His research interests focus on decolonial approaches to sociology, examining how power structures shape knowledge systems. Key themes include intellectual imperialism in academia, alternative discourses from the Global South, and the application of Ibn Khaldun's historical sociology to contemporary issues. He emphasizes epistemic justice through reclaiming non-Western intellectual traditions. Alatas' publications demonstrate sustained engagement with decolonial theory and Malay world epistemologies. Recent works analyze the sociology of autonomous knowledge production, critique academic dependency, and recover marginalized intellectual histories. His scholarship advocates for methodological pluralism in social sciences. Alatas has fostered dialogue on Muslim sectarianism and Islamic reform through intra- and inter-religious engagement. His pedagogical approach integrates interpretive methods and development studies within civilizational frameworks.

Stephanie Rudolphمشاهده پروفایل

استادیار

• Neuroscience
• Neurodevelopmental Disorders
• Neurodegenerative Diseases
• +۵ مورد دیگر

Stephanie Rudolph, Ph.D., is an Assistant Professor in the Dominick P. Purpura Department of Neuroscience and the Department of Psychiatry and Behavioral Sciences at Albert Einstein College of Medicine. Her research focuses on understanding how neuromodulation and inhibition shape cerebellar circuits involved in social communication and motor function, with implications for neurodevelopmental and neurodegenerative disorders. She employs genetic, viral, electrophysiological, and behavioral approaches to study cerebellar circuit dynamics, particularly the roles of neuromodulatory systems in autonomic regulation, social interactions, and sex-specific signaling. Her work integrates molecular, cellular, and circuit-level mechanisms to elucidate how cerebellar function dynamically responds to physiological contexts. Key areas of investigation include the anatomical basis of neuromodulation in the mouse cerebellum, modulation of cerebellar output, and the interplay between sensory inputs and behavioral responses. Rudolph's lab has contributed to defining cerebellar cell types through transcriptomic analyses and characterizing synaptic inhibitory pathways critical for cerebellar function. Selected publications highlight discoveries about cerebellar interneurons (candelabrum cells), GABAergic signaling disruptions, and the impact of cerebellar development on autism-like behaviors. Her research bridges basic neuroscience with translational insights into neurological disorders. Grants and collaborations likely support this multidisciplinary work, though specific funding details are not explicitly listed here.

Francisco José García-Vidalمشاهده پروفایل

استاد

• Plasmonics
• Metamaterials
• Nanophotonics
• +۴ مورد دیگر

Francisco José García-Vidal Full Professor at the Autonomous University of Madrid since 2007, García-Vidal is a leading theoretical physicist specializing in plasmonics, metamaterials, and nanophotonics. He founded the Condensed Matter Physics Center (IFIMAC) in 2012, recognized by Spain's MINECO as an Excellent Research Center under the María de Maeztu program. His work has advanced surface plasmon manipulation, quantum plasmonics, and near-field heat transfer. He has directed over 15 grants as PI, including an ERC Advanced Grant (2012), and supervised 15 PhD students and >15 postdocs. Education BSc in Physics, UAM (1988) PhD in Physics, UAM (1992) under Profs. Fernando Flores and Alvaro Martín-Rodero Research Contributions His seminal contributions include: Surface-enhanced Raman scattering and metamaterial absorbers Extraordinary optical transmission through subwavelength apertures Conceptualization of spoof surface plasmons Quantum plasmonics and polaritonic chemistry Awards & Recognition ERC Advanced Grant (2012) Fellow of the Optical Society of America (2020) Jaume I Prize in Basic Research (2020) Blas Cabrera National Prize in Physics (2021) Miguel Catalan Prize (2024) 7x Most Influential Physicist by Thomson Reuters (2014–2022) Editorial & Leadership Divisional Associate Editor, Physical Review Letters (2017–2021) Chair of Physics Panel, AEI (Spain's agency) (2021–present) Organized 12 international conferences Labs & Teams Founder and director of IFIMAC, a world-leading center for condensed matter physics research.

• Parallel and Distributed Computing
• Networking
• Complex Systems
• +۵ مورد دیگر

Albert Zomaya is the Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at The University of Sydney. He holds a PhD and is a Fellow of multiple prestigious institutions including the Australian Academy of Science and the Royal Society of New South Wales. His research focuses on parallel and distributed computing, networking, and complex systems, with applications in cybersecurity, cloud computing, and IoT. He has authored over 700 publications, 30 books, and edited numerous journals. His awards include the ACM MSWIM Reginald A. Fessenden Award and the New South Wales Premier’s Prize for Engineering. Education: PhD, along with extensive academic and industry experience across multiple institutions including the University of Western Australia and the University of Sydney. Research interests span distributed computing, high-performance systems, energy-efficient scheduling, and bioinformatics applications. His work impacts national security, healthcare, and industrial productivity through advancements in computing technologies. Awards highlight his contributions to scalable computing, parallel processing, and sustainable computing. He serves on editorial boards of major journals like ACM Computing Surveys and IEEE Transactions on Computers. Advising and grants include mentoring numerous PhD students and leading projects like the ARC Professorial Fellowship on energy-aware scheduling. He directs research centers and collaborates with industry partners to translate theoretical advancements into practical solutions. Labs and teams: Leads the Centre for Distributed and High Performance Computing, and collaborates with institutions like the Net Zero Institute and the University of Sydney Nano Institute.

Peyman Moghadamمشاهده پروفایل

دانشیار مدعو

• Self-Supervised Learning for Robotics
• Embodied AI
• 3D Multi-Modal Perception (3D++)
• +۴ مورد دیگر

Peyman Moghadam is an Adjunct Associate Professor at the University of Queensland (UQ) and a Principal Research Scientist at CSIRO Data61. He also holds an adjunct professorship at Queensland University of Technology (QUT). His roles include leading the Embodied AI Research Cluster at CSIRO Data61 and overseeing the Spatiotemporal AI portfolio within CSIRO's Machine Learning and Artificial Intelligence (MLAI) Future Science Platform. He has held visiting appointments at ETH Zürich (2022) and the University of Bonn (2019). His research focuses on self-supervised learning for robotics, embodied AI, 3D multi-modal perception, and computer vision applications in robotics and environmental science. Education details are not explicitly provided in the text, but his professional experience and research output suggest advanced academic training in robotics, computer science, and machine learning. Awards include the CSIRO Julius Career Award, National and Queensland iAwards, and the Lord Mayor's Budding Entrepreneurs Award. He has led large-scale interdisciplinary projects and published extensively in top-tier journals and conferences. His research themes span robotics perception, AI-driven environmental modeling, and sensor fusion. Notable contributions include benchmark datasets (e.g., WildScenes), novel algorithms for LiDAR place recognition, and geo-encoded transformers for plant species prediction. His work bridges robotics, machine learning, and real-world applications in agriculture, environmental monitoring, and autonomous systems. Awards: CSIRO Julius Career Award, Collaboration Medal, National/Queensland iAwards, Lord Mayor's Budding Entrepreneurs Award Grants & Projects: Led multidisciplinary projects in robotics, AI, and environmental science funded by CSIRO and industry collaborators Labs/Teams: Embodied AI Research Cluster (CSIRO Data61), Spatiotemporal AI portfolio (CSIRO MLAI)