جست‌وجوی استاد و پژوهشگر

Sharat Chandranمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Visual Computing
• +۳ مورد دیگر

Sharat Chandran is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay (IIT Bombay), where he has been actively engaged in teaching and research for several decades. His office is located in Room KR102 (also known as A202) in the Rekhi Building on the IIT Campus in Mumbai, India. His primary research interests span two major areas in computing: Computer Graphics and Computer Vision . He has extensively worked in these fields with his students and research staff, producing various publications, talks, and research projects over the years. His current teaching focus includes Math for Visual Computing (CS 740), a course designed for postgraduate students new to the IIT system who may have some apprehension about mathematics. Professor Chandran has supervised numerous PhD students whose work covers diverse topics including 3D modeling, efficient computing with tomographic measurements, vision for drones, cancer prognosis, hierarchical visibility, projector-camera systems, arterial pulse analysis, and optimization algorithms for motion factorization. His teaching portfolio is extensive, having offered courses such as Basic Freshman Programming, Software Systems, Parallel Programming Paradigms, Graphics I & II, Multimedia Systems, Computer Vision, Digital Image Processing, Algorithms, and Spatial Data Structures. He has held multiple administrative and service roles at departmental, institutional, and external levels. Departmental roles include PhD Faculty Advisor, Awards Committee Chair, Faculty Search Chair, and Web Team Chair. At the institutional level, he served as Founding PMRF Coordinator, Head of the Application Software Centre, and IIT Research Fellowship Initiative Coordinator. Externally, he has coordinated the DST India Digital Heritage Project and served as Program Co-Chair for conferences like Mysore Park Vision Conference and ICVGIP. Professor Chandran is actively involved in campus community activities including Sanskriti @ IITB, Taekwando @ IITB, and serves as Secretary for Kendriya Vidyalaya PTA. His office hours are from 12:30 PM to 1:00 PM on Monday, Tuesday, and Thursday, and he emphasizes using Piazza rather than email for student communications.

• Democratic theory
• Theories of sovereignty and constituent power
• History of political liberalism and republicanism
• +۸ مورد دیگر

Andreas Kalyvas serves as Associate Professor in the Department of Politics at The New School for Social Research, where he teaches courses on liberalism, oligarchy, and political thought. Previously, he taught at Columbia University and the University of Michigan, and has held visiting positions at institutions across Spain, Chile, Germany, Poland, and South Africa. His academic credentials include: PhD in Political Science, Columbia University (2001) MA in Political Science, Columbia University (1994) BA in Political Science and Public Administration, National and Kapodistrian University, Athens (1990) Professor Kalyvas's research explores democratic theory and political thought from ancient to contemporary contexts, focusing on sovereignty, constituent power, tyranny, and citizenship. His work bridges jurisprudence, history, and politics with particular emphasis on emergency rule, oligarchic power, and migration. He is currently finalizing Tyranny Legalized: Republicanism, Dictatorship, and the Enemy Within , examining the normalization of authoritarian practices within legal frameworks. Analysis of his recent publications reveals a sustained investigation into democratic foundations amid contemporary crises. His scholarship consistently connects historical political concepts to modern challenges, especially regarding constituent power, democratic breakdowns, and the tension between legal norms and political emergencies. This trajectory demonstrates increasing engagement with postcolonial perspectives and global democratic struggles while maintaining deep roots in classical political theory. His scholarly recognition includes: Laurance S. Rockefeller Visiting Fellowship at Princeton University (2009-2010) Polity Prize for best journal article (2006) Leo Strauss Award for doctoral dissertation excellence (2002) Professor Kalyvas actively mentors graduate students through dissertation supervision and independent studies, with research supported by prestigious fellowships like the Rockefeller award. His teaching portfolio reflects his research expertise, featuring courses on liberalism in crisis, oligarchy, and political thought that examine historical and contemporary power structures. While no formal lab structure is mentioned, his international collaborations and edited volumes with scholars like Federico Finchelstein demonstrate extensive scholarly networks across political theory and continental philosophy.

• Reconfigurable Computing
• FPGA Architectures
• Computer Security
• +۶ مورد دیگر

André DeHon is the Oliver C. Boileau Jr. and Nan Eleze Boileau Professor of Electrical Engineering at the University of Pennsylvania, affiliated with Electrical and Systems Engineering (ESE) and Computer and Information Science (CIS). He chairs the Computer Engineering (CMPE) program and directs the CyberSavvy Security Center. His research focuses on reconfigurable computing, FPGA architectures, computer security, and energy-efficient hardware design. He holds a Ph.D. and M.S. from MIT and a B.S. from MIT's Lincoln School. Research interests include reconfigurable computing, FPGA interconnect, hardware security, and fault-tolerant systems. Notable achievements include the SEVER & PROTECT DARPA award and IEEE/ACM Fellowships. Recent work addresses fast FPGA compilation (HiPR, PLD), security through compartmentalization (μSCOPE, SCALPEL), and partial reconfiguration techniques. Teaching includes courses on hardware security, system-on-chip architecture, and digital audio basics. Over 200 publications span FPGA design, network-on-chip optimization, and molecular-scale computing. His labs (Implementation of Computation Group) explore physical implementation of computations through hardware-software co-design.

Andreas Pautzمشاهده پروفایل

استاد

• Nuclear Reactor Physics
• Reactor Systems Behaviour
• Nuclear Engineering
• +۵ مورد دیگر

Andreas Pautz is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences, Institute of Physics, and the Laboratory of Reactor Physics and Systems Behaviour (LRS). He also contributes to educational leadership through his role in EDEY - Enseignement under AVP-DLE-EDOC. His office is located at PH D3 465, Building PH, Station 3, Lausanne, Switzerland, and he can be reached via email at andreas.pautz@epfl.ch or by phone at +41 56 310 34 97. His research focuses on nuclear reactor physics, reactor systems behavior, neutron interactions, computational modeling of nuclear reactors, and the decommissioning of nuclear power plants. As head of the LRS laboratory, he leads a team dedicated to advancing the understanding of reactor design and fuel cycle optimization. Prof. Pautz is deeply involved in graduate education, supervising numerous PhD students and teaching core courses such as Physics of Nuclear Reactors, Nuclear Computations Lab, and Decommissioning of Nuclear Power Plants. He also contributes to international education through the Frédéric Joliot / Otto Hahn Summer School on Nuclear Reactors Physics, Fuels and Systems. He has successfully supervised over 20 PhD theses at EPFL, indicating a long-standing and active role in doctoral education. His academic advising spans topics in reactor physics, computational methods, and nuclear safety. His laboratory, LRS (https://lrs.epfl.ch/), serves as a hub for research and training in nuclear reactor systems. The group engages in both theoretical and experimental aspects of reactor physics, aiming to address modern challenges in nuclear energy sustainability and safety. Professor, Laboratory of Reactor Physics and Systems Behaviour (LRS), EPFL SB IPHYS Professor, EDEY - Enseignement, EPFL VPA-AVP-DLE AVP-DLE-EDOC

Aaron Kappelerمشاهده پروفایل

مدرس

• Development
• Political Economy
• Labor
• +۱۰ مورد دیگر

Aaron Kappeler is a Lecturer in Anthropology of Development at the University of Edinburgh's School of Social and Political Science, Department of Social Anthropology. He teaches core courses in the MSc International Development program and MA Social Anthropology, including Anthropology and Environment and Social Development. Education: PhD, University of Toronto Graduate studies, University of Heidelberg and University of Leipzig Undergraduate, University of Arizona Research Focus: Kappeler specializes in Latin American political economy with emphasis on agricultural development , petro-populism , and rural livelihoods . His fifteen-year ethnographic fieldwork in Venezuela examines state enterprises, agrarian reform under Chávez, and the interplay of race, nature, and capital in socialist policy implementation. Current work analyzes oil rent redistribution mechanisms. Publication Trends: Recent scholarship (2021-2025) reveals consistent focus on Venezuelan political economy , bridging anthropology and political science . Key themes include petro-populism's impact on rural cooperatives (2024), racialized sovereignty production (2023), and neo-structural socialism in state enterprises (2025). His work critically engages with dependency theory while documenting grassroots responses to resource nationalism. Scientific Awards: None documented in source material. Academic Supervision: Kappeler annually supervises MSc dissertations in International Development and MA dissertations in Social Anthropology. He has served as Director of Admissions for graduate development programs and coordinates departmental open-day events.

• Representation Theory
• Finite Dimensional Algebras
• Algebraic Combinatorics
• +۳ مورد دیگر

Kay Jin Lim serves as Senior Lecturer and Director of the MSc (Analytics) program at Nanyang Technological University's School of Physical & Mathematical Sciences, where he contributes significantly to both academic leadership and mathematical research within the Division of Mathematical Sciences. His educational foundation includes a B.Sc. (2005), M.Sc. (2007), and Ph.D. (2009) from the National University of Singapore, followed by doctoral research at the University of Aberdeen under David John Benson's supervision. Lim's research centers on representation theory of finite dimensional algebras, with deep connections to algebraic combinatorics and algebraic geometry. His work explores modular representation theory of symmetric groups, Specht modules, and Lie modules, emphasizing combinatorial structures and geometric interpretations in positive characteristic settings. This specialized focus has established him as a contributor to advanced algebraic frameworks. Analysis of his publication trajectory (2013-2025) reveals consistent advancement in understanding module complexities, rank varieties, and symmetric group representations, with increasing emphasis on interdisciplinary connections between algebraic combinatorics and geometric methods. His collaborative approach with international researchers like Karin Erdmann and David Benson demonstrates engagement with cutting-edge developments in the field. Scientific awards: No awards, fellowships, or major prizes are documented in the available information. Lim maintains an active supervisory role with four doctoral students: Yu Jiang (graduated May 5, 2021), Jialin Wang (graduated March 31, 2024), and current candidates Kua Hao Yan Manzu and Chen Siyuan. His teaching portfolio spans foundational to advanced algebra courses including MH2220 Algebra I, MH3220 Algebra II, and specialized topics in Homological Algebra, reflecting his commitment to mathematical education at multiple levels. He operates within NTU's vibrant mathematical research ecosystem, maintaining significant collaborations with leading algebraists globally while directing the MSc (Analytics) program to integrate theoretical mathematics with practical analytical applications.

Guoyao Wuمشاهده پروفایل

استاد

• Animal Nutrition
• Protein and Amino Acid Metabolism
• Nutritional Biochemistry
• +۵ مورد دیگر

Guoyao Wu is a Distinguished Professor of Animal Nutrition at Texas A&M University's College of Agriculture & Life Sciences, holding dual appointments in the Department of Animal Science and the Graduate Faculty of Nutrition. His expertise spans nutritional biochemistry, protein metabolism, and reproductive physiology. Dr. Wu earned his B.Sc. from South China Agricultural University, M.Sc. degrees from Beijing Agricultural University and the University of Alberta, and a Ph.D. from the University of Alberta, followed by postdoctoral training at McGill University and Memorial University of Newfoundland. His research focuses on amino acid and protein metabolism across molecular, cellular, and whole-animal levels, using models like cattle, pigs, and aquatic species. Key areas include placental nutrient transport, fetal programming, and the role of amino acids in mitigating conditions like sarcopenia and intrauterine growth restriction. He has pioneered studies on glycine, creatine, and citrulline supplementation in livestock and aquaculture. Dr. Wu has received over 15 prestigious awards from China, Canada, and the U.S., including the Thousand-People-Talent Award and Changjiang Scholar Award. He serves on editorial boards of journals like Amino Acids and Frontiers in Bioscience , and teaches graduate courses in protein metabolism. His work bridges basic science and applied nutrition, with implications for improving livestock productivity, human health, and aquaculture sustainability. Current projects address amino acid requirements of companion animals, microgravity effects on metabolism, and placental biology in ruminants.

Hazel Rose Markusمشاهده پروفایل

استاد

• Cultural Psychology
• Self and Identity
• Social Class and Culture
• +۵ مورد دیگر

Hazel Rose Markus is the Davis-Brack Professor in the Behavioral Sciences at Stanford University's Department of Psychology within the School of Humanities and Sciences. With a distinguished career spanning decades, she has made significant contributions to cultural psychology and the understanding of how social contexts shape self and behavior. Her work bridges academic research and practical application through her role as Faculty Director of Stanford SPARQ. Markus received her B.A. from California State University at San Diego and her Ph.D. from the University of Michigan in Psychology. Her educational background laid the foundation for her groundbreaking work in cultural psychology. Her research focuses on the role of self in regulating behavior and how the social world shapes the self. She investigates people as culturally-shaped shapers of their cultures, examining how nation or region of origin, gender, social class, race, ethnicity, religion, and occupation shape thought, feeling, and action. Her work spans multiple domains including education, healthcare, workplace environments, and social policy. Analysis of her recent publications reveals a consistent focus on cultural frameworks, particularly examining independence-interdependence cultural models. Her research increasingly addresses social inequality, educational disparities, and systemic bias through empirical studies and intervention development. She has pioneered the Culture Cycle Framework for understanding and changing cultural patterns that perpetuate inequality. Member of the National Academy of Sciences Member of the British Academy Fellow of the American Academy of Arts and Sciences American Psychological Association's Distinguished Scientific Contribution Award Donald T. Campbell Award from SPSP APS William James Award for lifetime achievement Markus actively mentors doctoral students and postdoctoral scholars, with current advisees including Leslie Remache, Enna Chen, Ayo Dada, and Efrain Garcia Sanchez. She teaches courses including Graduate Seminar in Social Psychology Research, Intergroup Communication Facilitation, and Mind, Culture, and Society. As Faculty Director of Stanford SPARQ, she leads initiatives that partner with industry leaders to tackle disparities and inspire culture change in criminal justice, economic mobility, education, and health. Her laboratory work focuses on cultural psychology, examining how cultural contexts shape cognition, emotion, and behavior across diverse populations. Through SPARQ, she connects academic research with real-world applications to address societal challenges.

Priya Ramanمشاهده پروفایل

دانشیار

• Molecular mechanisms of vascular smooth muscle cell phenotypic switching
• Non-lipid causes of vascular disease in metabolic syndrome
• Mechanistic links between metabolic syndrome, vascular dysfunction, and Alzheimer’s disease
• +۳ مورد دیگر

Priya Raman, Ph.D., FCVS, is an Associate Professor of Integrative Medical Sciences at Northeast Ohio Medical University (NEOMED). She holds tenure and serves as Co-Director of the Basic and Translational Biomedicine (BTB) Graduate Program and Chair of the Kent State University-Biomedical Sciences Pharmacology Graduate Program. Her academic roles include teaching in NEOMED’s medical curriculum, focusing on pharmacology, cardiovascular systems, and clinical therapeutics. Raman’s research explores molecular mechanisms linking metabolic disorders (e.g., diabetes, metabolic syndrome) to vascular dysfunction and Alzheimer’s disease, using mouse models and cellular/molecular techniques. She has published extensively on thrombospondin-1, O-GlcNAc signaling, and atherosclerosis pathogenesis. Education: B.Pharm. and M.Pharm. (India), Ph.D. in Pharmacology (University of Louisiana at Monroe). She has over 25 years of postdoctoral and faculty experience, including roles at the Cleveland Clinic and Indiana University School of Medicine. Raman serves on editorial boards for journals like International Journal of Cardiology and Frontiers in Cardiovascular Medicine , and reviews grants for the American Heart Association and NIH. Research focus areas include: (1) Vascular smooth muscle cell phenotypic switching in metabolic diseases, (2) Non-lipid mechanisms of vascular disease in metabolic syndrome, and (3) Interactions between metabolic disorders and neurodegeneration. Her lab employs biochemical assays, mouse models (e.g., ApoE-/-, KKAy), and advanced imaging techniques to study these pathways. Notable recent work includes discovering that O-GlcNAc transferase deletion reduces atherosclerosis in hyperglycemic mice and identifying thrombospondin-1’s role in leptin-driven vascular pathology. She has also linked metabolic syndrome-induced O-GlcNAc deficits to Alzheimer’s-like cognitive impairment in aging mice. Raman is actively involved in interprofessional education and mentoring, directing graduate programs and teaching courses in pharmacology, molecular signaling, and diabetes/vascular disease. Her work bridges basic science and clinical applications, aiming to develop novel therapies for metabolic syndrome-related vascular complications.

Kumar Varoon Agrawalمشاهده پروفایل

دانشیار

• Materials Science
• Chemical Engineering
• Membrane Technology
• +۴ مورد دیگر

Kumar Varoon Agrawal is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), holding the Gaznat Chair for Advanced Separations. He is affiliated with the School of Basic Sciences (SB), the Institute of Chemical Sciences and Engineering (ISIC), and the Laboratory of Advanced Separations (LAS) in Sion, Switzerland. Additionally, he contributes to the Swiss Doctoral School in Chemical and Bioengineering (SCGC) and serves as Vice President of the Confédération des Chimistes et des Génie Chimique (CCE). Research Focus: Material Chemistry & Engineering at the Ångström scale for high-performance inorganic and hybrid membranes, emphasizing energy-efficient molecular separations. Teaching: Courses include Fundamentals of separation processes , Diffusion and mass transfer , and Chemical engineering product design . Scientific Contributions: His 15 most recent publications (2025-2020) span topics like graphene pore engineering , 2D material synthesis , carbon capture , and gas separation membranes , with keywords such as Nanotechnology , Materials Science , and Molecular Transport . Subfields include Atomic-Scale Pores , Membrane Stability , and Industrial Scalability . Students and Collaborations: He advises 10 current PhD students and has mentored 9 past PhD candidates in areas like graphene membranes , ion separation , and MOF films . He is an Academic Referent for the EPFL Carbon Team and a committee member for the EDCH Doctoral Program in Chemistry and Chemical Engineering.

• Mathematics
• Machine Learning
• Quantum Topology
• +۹ مورد دیگر

Sergei Gukov is the John D. MacArthur Professor of Theoretical Physics and Mathematics at the California Institute of Technology (Caltech), where he has been a faculty member since 2005. He serves in the Division of Physics, Mathematics and Astronomy, with primary affiliation in the Department of Mathematics. His research bridges the fields of mathematics and theoretical physics, focusing on deep connections between geometry, topology, and quantum field theory. Gukov received his B.S. from Moscow Institute of Physics and Technology in 1997, followed by an M.S. and Ph.D. from Princeton University in 2001. He joined Caltech as an Associate Professor in 2005, was promoted to Professor in 2007, and was named the John D. MacArthur Professor in 2021. His research spans several interconnected areas at the frontier of mathematics and physics. A central theme is the exploration of quantum topology and its connections to mathematical physics. He has made significant contributions to the geometric Langlands program, gauge theory, and the categorification of knot and 3-manifold invariants. His recent work increasingly incorporates machine learning approaches to mathematical problems, reflecting his interest in the intersection of traditional mathematical research and modern computational techniques. Gukov's work often reveals deep connections between seemingly disparate areas of mathematics and physics, such as the relationship between Rozansky-Witten geometry and Coulomb branches in supersymmetric gauge theories. Gukov's publications demonstrate a consistent focus on the mathematical structures underlying quantum field theories and their topological implications. His recent work shows an increasing emphasis on computational approaches to mathematical problems, particularly through his interest in mathematics and machine learning. The recurring themes across his research include the application of physical insights to solve mathematical problems and the discovery of new mathematical structures through physical reasoning. He serves on the editorial boards of several prestigious journals including the Journal of Knot Theory and Its Ramifications, Communications in Mathematical Physics, and Letters in Mathematical Physics. Gukov is also active in the academic community, having delivered plenary talks at major conferences such as the First International Congress of Basic Science and presenting at String Math 2023 on the potential impact of AI on mathematical research. Gukov teaches Ma 146 ab, Introduction to Knot Theory and Quantum Topology, a course that reflects his research interests. He also runs a seminar on Mathematics and Machine Learning, held Tuesdays from 2-3pm in East Bridge Conference room 114, demonstrating his commitment to fostering interdisciplinary research at the intersection of mathematics and computational methods.

• Inverse Problems
• Applied Harmonic Analysis
• Machine Learning
• +۳ مورد دیگر

Rima Alaifari is an Assistant Professor for Applied Mathematics at ETH Zürich, specializing in inverse problems, applied harmonic analysis, and scientific machine learning. She is an associated member of the ETH AI Center and will assume a full professorship at RWTH Aachen University in 2025. Her work focuses on stability analysis, regularization, and operator learning, with applications in phase retrieval and robustness of neural networks. Alaifari holds a Ph.D. in Mathematics from Vrije Universiteit Brussel (2014), where she studied under Prof. Ingrid Daubechies and Prof. Michel Defrise. She completed her M.Sc. in Applied and Industrial Mathematics at Johannes Kepler University, Linz (2010). Her academic career includes postdoctoral fellowships at ETH Zurich (2014–2016) and a Marie Curie-funded position (2016). Her research interests span inverse problems, phase retrieval, stability in machine learning, and operator learning. Notable projects include SNF-funded work on phase retrieval (2019) and collaborations on adversarial robustness in medical imaging (e.g., CT reconstruction). She has mentored PhD students Tandri Gauksson and Matthias Wellershoff, and postdocs Francesca Bartolucci (now at TU Delft) and Jesse Railo (Finnish Inverse Prize winner). Teaching includes courses on inverse problems, time-frequency analysis, and robustness of deep neural networks. She actively participates in international conferences, delivering plenary talks at venues like the International Conference on Computational Harmonic Analysis (2022) and ICERM (2023). Her work bridges mathematical foundations and practical applications, emphasizing stability and robustness in computational methods.

• Numerical Analysis
• Partial Differential Equations
• Wave Propagation
• +۷ مورد دیگر

Olof Runborg is a Professor in Numerical Analysis at the Royal Institute of Technology (KTH) in Stockholm, Sweden. He works in the Division of Numerical Analysis, Optimization and Systems Theory within the Department of Mathematics at KTH. His research focuses on developing and analyzing numerical methods for partial differential equations, particularly for wave propagation problems. His educational background includes: MSc in Electrical Engineering from KTH (1992) BSc in Economics & Business Administration from SSE (1994) PhD in Numerical Analysis/Applied Mathematics from KTH (1998) Postdoc at Paris VI University (1999) Postdoc at Princeton University's Program in Applied and Computational Mathematics (2000-2001) Became Docent at NADA in 2003 Appointed Professor at KTH in 2010 Professor Runborg's research centers on the numerical treatment of partial differential equations, with special emphasis on wave propagation problems. His work spans multiple areas including high-frequency waves, multiscale phenomena, numerical homogenization, uncertainty quantification, multiresolution analysis, Gaussian beams, and mesh generation. A recurring theme in his research is developing methods to solve computationally expensive problems more efficiently while maintaining accuracy. His approach often involves coupling different numerical methods or reformulating equations to create more efficient computational approaches. His research has applications across physics and engineering domains where wave phenomena are important. An analysis of his recent publications (2015-2025) shows continued focus on high-frequency wave propagation with expanding applications to areas like the Landau-Lifshitz equation for magnetic materials and elastic wave propagation. His work bridges theoretical numerical analysis with practical computational techniques, often developing novel methods like the WaveHoltz iteration for solving the Helmholtz equation. The publications demonstrate increasing attention to uncertainty quantification and multiscale methods while maintaining strong theoretical foundations in error analysis. Professor Runborg teaches several courses at KTH including Numerical Methods (basic course), Applied Numerical Methods, Numerical Algorithms for Data-Intensive Science, and Selected Topics in Numerical Analysis II. He serves as examiner for degree projects in Scientific Computing. His teaching reflects his research expertise in numerical methods and computational mathematics, providing students with both theoretical foundations and practical implementation skills. Beyond his core research, Professor Runborg has engaged in interesting side projects, such as his analysis of 'Numbers on the Web' where he investigated the frequency of numbers 11-1000 in web content, revealing patterns related to dates, time, computer systems, and cultural phenomena. This demonstrates his broader interest in data analysis and computational approaches to understanding patterns in information.

Kevin Sivulaمشاهده پروفایل

استاد

• Photoelectrochemical solar energy conversion
• Renewable energy
• Chemical engineering
• +۷ مورد دیگر

Professor Kevin Sivula is a Full Professor of Chemical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Molecular Engineering of Optoelectronic Nanomaterials (LIMNO) and serves as Director of the Institute of Chemical Sciences and Engineering (ISIC). He teaches courses on Transport Phenomena, Chemical Engineering Practicals, Product design, and solar energy conversion systems. His research focuses on photoelectrochemical solar energy conversion, particularly developing novel nanomaterials for renewable energy applications. Professor Sivula's work bridges chemical engineering, materials science, and renewable energy technologies with emphasis on solar water splitting and hydrogen production. His research group explores organic semiconductors, transition metal dichalcogenides, perovskite materials, and metal oxide photoelectrodes for solar fuel generation. Professor Sivula's recent publications (2023-2025) demonstrate his leadership in advancing perovskite solar cell technology, developing novel photoelectrochemical systems for hydrogen production, and engineering semiconductor interfaces for improved energy conversion efficiency. His work spans fundamental materials characterization to device engineering, with particular emphasis on stability and scalability of solar fuel production systems. As an academic leader, Professor Sivula has supervised numerous PhD students whose research spans organic semiconductor nanoparticles for solar hydrogen production, perovskite materials engineering, photoelectrochemical CO 2 reduction, and nanomaterials for energy conversion. His research has been supported by various grants focused on advancing sustainable energy technologies.

Jonathan C Poberمشاهده پروفایل

دانشیار

• Cosmic Reionization
• Radio Astronomy
• Astrophysics
• +۳ مورد دیگر

Jonathan C. Pober is an Associate Professor of Physics at Brown University, leading research into the Epoch of Reionization (EoR) and Cosmic Dawn through low-frequency radio astronomy. His work focuses on detecting the highly-redshifted 21 cm line emission from neutral hydrogen during the early Universe, addressing challenges in separating this signal from astrophysical and human-generated radio interference. He develops novel analysis techniques and collaborates on cutting-edge experiments like the Murchison Widefield Array (MWA) and the Hydrogen Epoch of Reionization Array (HERA). Education: PhD in Physics, University of California, Berkeley (2013) MA in Physics, University of California, Berkeley (2010) MPhil in Physics, University of Cambridge (2008) BA in Physics, Haverford College (2007) Research Interests: Cosmic Reionization, Radio Astronomy, 21 cm Cosmology, Signal Processing, and Instrumentation Development. His lab explores methods to mitigate radio frequency interference and optimize interferometric calibration for precise EoR measurements. Teaching: Courses include Basic Physics B, Astronomy, Astrophysics and Cosmology, and Advanced Electromagnetic Theory. He emphasizes bridging theoretical concepts with observational techniques in his curriculum. Awards: NASA Roman Technology Fellow Lab & Projects: Directs the Pober Lab at Brown University, advancing experiments like FARSIDE (Farside Array for Radio Science Investigations of the Dark Ages and Exoplanets), a proposed lunar-based array to study the Dark Ages.