جست‌وجوی استاد و پژوهشگر

Andrea Arpaci-Dusseauمشاهده پروفایل

استاد

• File and Storage systems
• Operating systems
• Distributed systems
• +۱ مورد دیگر

Andrea Arpaci-Dusseau is the Susan Beth Horwitz WARF Professor of Computer Sciences and Catherine A. Erickson Professor in the School of Computer, Data & Information Sciences at the University of Wisconsin-Madison. She has been a professor at UW-Madison since January 2000 and currently serves as Graduate Advising Chair for the Computer Sciences Department. Her research focuses on computer systems with primary emphasis on file and storage systems, but also making significant contributions in distributed systems, virtualization, and scheduling. According to csrankings.org, she has published the fourth-most papers in premier systems conferences (SOSP and OSDI) and the most at the top file and storage conference (FAST). Professor Arpaci-Dusseau's recent publications demonstrate continued leadership in storage systems research, with increasing focus on cloud architectures, persistent memory technologies, and system reliability. Her work bridges theoretical foundations with practical implementations, consistently addressing real-world challenges in modern computing environments. ACM SIGOPS Mark Weiser Award 2018 (highest honor in systems field) UW-Madison Van Hise Outreach Teaching Award 2017 Multiple Best Paper awards at FAST, SOSP, OSDI, and EuroSys conferences Carolyn Rosner Award for Excellence in Teaching (2010, 2017) Co-chaired major conferences including USENIX ATC '04, FAST '07, OSDI'18, and SOSP'24 Professor Arpaci-Dusseau has co-advised 28 Ph.D. students and is deeply committed to educational outreach through the CaTaPuLT project, which connects UW-Madison students with K-12 schools to teach computational thinking using Scratch. This initiative has reached hundreds of students across Madison and earned her significant recognition for teaching excellence. She leads the Arpaci-Dusseau Systems Lab (ADSL) and is involved with the Wisconsin Institute on Software-defined Datacenters in Madison (WISDoM), where her research group continues to advance state-of-the-art solutions in computer systems.

Matthew Potolskyمشاهده پروفایل

استاد

• Decadence
• Mimesis
• 19th-Century European Literature
• +۳ مورد دیگر

Matthew Potolsky is Professor of English at the University of Utah, specializing in nineteenth-century literature and literary theory. His career spans from 1998 Lecturer at Harvard University to current University Professorship. He earned a BA in Comparative Literature and Philosophy (1990), followed by MA and PhD in Comparative Literature (1992, 1997) from UC Irvine. Chair of English Department (2013-2016) University Professor (2014-2016) Research focuses on Decadence , Mimesis , Finance-Aesthetics intersections , and Government Secrecy . His work traces connections between financialization and decadent aesthetics, revealing how economic cycles influence artistic production. Key themes include: Decadent anti-realist literary movements Finance capital's cultural impact Decadent counterpublic formations Victorian aesthetic education debates Sublime aesthetics in national security Cosmopolitanism in literary communities Recent publications analyze: Decadent style as financialization rhetoric Reintroduction of verisimilitude theory Decadent responses to financial crises Mimetic labor in artistic production Decadent cosmopolitan counterpublics Historical parallels between financialization and literary decadence

Sheng Shenمشاهده پروفایل

استاد

• Nanophotonics
• Nanoscale Energy Transport and Conversion
• Advanced Manufacturing
• +۷ مورد دیگر

Sheng Shen is a Professor in the Mechanical Engineering Department at Carnegie Mellon University (CMU) , with courtesy appointments in the Departments of Electrical and Computer Engineering and Materials Science and Engineering . He earned his Ph.D. in Mechanical Engineering (Minor in Electrical Engineering) from Massachusetts Institute of Technology (MIT) , and his B.S. and M.S. from Huazhong University of Science and Technology in China. Prior to joining CMU in 2011, he conducted postdoctoral research at UC-Berkeley . Education: Ph.D., Mechanical Engineering, MIT (2010) B.S. & M.S., Power Engineering & Engineering Thermophysics, Huazhong University of Science and Technology (2000 & 2003) Research interests include nanophotonics , nanoscale energy transport and conversion , nanofabrication , and advanced manufacturing , with applications in thermal management , light sources and devices , thermal emission control , solar energy conversion , infrared sensing , and multifunctional materials . His work leverages interdisciplinary expertise in thermal and optical measurements , material synthesis , device fabrication , and theoretical modeling . Recent publications highlight advancements in infrared radiation control , thermal interface materials , metasurface engineering , and graphene-based nanosystems . His scientific awards include: NSF CAREER Award DARPA Director's Fellowship DARPA Young Faculty Award Elsevier/JQSRT Raymond Viskanta Award CMU Dean's Early Career Fellowship Philomathia Foundation Research Fellowship Hewlett-Packard Best Paper Award Best Paper Award, Julius Springer Forum Advising spans Ph.D. and postdoctoral researchers in nanoscale energy systems, with alumni contributing to solar energy conversion , infrared sensing , and flexible electronics . His lab receives funding from ARL, DARPA, DOE, DTRA, NASA, NSF, and ONR , and recently secured a DURIP award for instrumentation.

Sean Caoمشاهده پروفایل

دانشیار

• Artificial Intelligence in Finance
• Machine Learning Applications
• Capital Market Research
• +۵ مورد دیگر

Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.

• Critical Mental Health
• Postcolonial Theory
• Critical Race Theory
• +۱۰ مورد دیگر

Ameil Joseph is an Associate Professor at McMaster University's School of Social Work, where they contribute to critical scholarship at the intersection of mental health, race, and social justice. Their work examines how ideas about difference, normalcy, sexuality, eugenics, race, ability and mental 'illness' cohere and perform within policy, law and practice, with over a decade of professional experience in mental health settings including supportive housing, settlement services, crisis respite, and forensic community treatment. Education: Ph.D in Social Work, York University (2009-2014) MSW, Wilfrid Laurier University (2005-2007) BA in Psychology, University of Waterloo (1998-2003) Dr. Joseph's research engages with critical mental health, postcolonial theory, critical race theory, and critical disability studies to examine the historical production of ideas about difference. Their scholarship particularly focuses on how these ideas manifest in mental health systems, immigration policy, and criminal justice, with attention to issues of social justice, violence, ethics, and confluence. Their work bridges theoretical frameworks with practical implications, addressing the complex interplay of colonialism, racism, sanism, and eugenics in contemporary social systems. Analysis of Dr. Joseph's recent publications reveals a sustained focus on colonial and eugenic violence within mental health, immigration, and criminal justice systems. Their scholarship consistently examines how racism, sanism, and ableism intersect to produce particular forms of state violence, particularly against racialized immigrants with mental health conditions. Recent work has expanded to address temporal dimensions of oppression, data colonialism, and community responses to grief and loss during the pandemic, demonstrating both theoretical sophistication and practical relevance to current social issues. Scientific Awards: University Scholar 2025 - Recognized for research leadership and impact among eight McMaster professors honored as University Scholars Dr. Joseph has secured significant research funding, including nearly $75,000 from the Social Sciences and Humanities Research Council (SSHRC) for community-engaged projects addressing social justice issues. Their teaching portfolio includes advanced courses on critical mental health perspectives, race and colonialism in Canadian society, and social justice theory. While specific graduate students aren't listed in available materials, their extensive co-author network suggests active mentorship and collaboration. Dr. Joseph contributes to community-based initiatives in Hamilton addressing racism in healthcare and mental health systems, connecting academic scholarship with practical community responses to systemic issues. Dr. Joseph maintains an active presence in community responses to contemporary challenges, particularly through initiatives addressing grief during the pandemic and systemic racism in healthcare. Their work exemplifies the integration of scholarly rigor with community engagement, demonstrating how academic research can inform and be informed by real-world social justice efforts.

• Environmental Health Engineering
• Wastewater-Based Epidemiology
• Bioremediation
• +۷ مورد دیگر

Rolf Halden is a Professor and Center Director at Arizona State University, holding appointments in the School of Sustainable Engineering and the Built Environment, the Biodesign Center for Environmental Health Engineering, and the Global Futures Scientists and Scholars program. He is a leading expert in environmental health engineering, wastewater-based epidemiology, and bioremediation. Education: Ph.D. in Civil (Environmental) Engineering, University of Minnesota (1997) M.S. in Civil (Environmental) Engineering, University of Minnesota (1994) M.S. in Biology, Technical University of Braunschweig, Germany (1992) Postdoctoral Fellow, Environmental Science, Lawrence Livermore National Laboratory (1998) Research Focus: Halden’s research integrates environmental chemistry, public health, and sustainability to understand how anthropogenic chemicals affect ecological and human health. His lab uses advanced mass spectrometry (LC-MS/MS, MALDI-TOF) to track pollutants such as PPCPs, microplastics, pesticides, and dioxins across air, water, soil, and biological systems. He pioneered the use of wastewater treatment plants as public health observatories, enabling real-time tracking of disease, drug use, and environmental exposures. Scientific Awards & Recognition: Leadership Award, Arizona State University (2018) Rocky Mountain Emmy Award (2018) Leroy E. Burney Lecturer, Johns Hopkins School of Public Health (2011) ACS Expert Program Member (2014–present) NIEHS Superfund R01 Working Group National Leader (2012–2014) Labs & Teams: Halden is the Founding Director of the Biodesign Center for Environmental Health Engineering at ASU, where he leads a multidisciplinary team focused on environmental proteomics, bioremediation, and diagnostic tool development. He also co-leads the Human Health Observatory , a national wastewater monitoring network. Grants & Funding: Halden has secured major funding from NSF, NIH, EPA, DoD, and private industry. Notable projects include the development of in-situ groundwater monitoring devices, national wastewater surveillance of SARS-CoV-2, and studies on microplastics and neurodegenerative disease.

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +۵ مورد دیگر

Lior Wolf is a Professor at the School of Computer Science, Tel Aviv University. Previously, he was a postdoctoral researcher at MIT's Center for Biological and Computational Learning (CBCL) under Prof. Tomaso Poggio and earned his PhD from Hebrew University of Jerusalem with Prof. Amnon Shashua. His educational background includes: PhD in Computer Science, Hebrew University of Jerusalem Postdoctoral Research, MIT CBCL Prof. Wolf's research centers on artificial intelligence with seminal contributions to deep learning, computer vision, and natural language processing. His work bridges theoretical foundations (e.g., attention mechanisms, transformer analysis) with practical applications in medical imaging, speech processing, and sign language technology. He pioneered methods for neural network interpretability, efficient sequence modeling, and multimodal fusion. Analysis of his 2023-2025 publications reveals dominant trends in large language model optimization (neuron pruning, attention analysis), efficient video generation, and cross-modal learning. His work increasingly integrates medical applications (fMRI/EEG analysis) while maintaining theoretical rigor in model architecture design. His scientific achievements include: Best paper award at EMNLP 2024 for 'Backward Lens: Projecting Language Model Gradients into the Vocabulary Space' Best paper award at SCIA 2023 for 'Gradient Adjusting Networks for Domain Inversion' Best paper award at FG 2021 for 'Generating Master Faces for Dictionary Attacks' Prof. Wolf mentors graduate students in the School of Computer Science and leads research at the ICRC building laboratory. His team collaborates with 'the friends of TAU' on projects spanning biometric security, medical imaging, and generative AI. Current work focuses on efficient transformers, neural network interpretability, and multimodal medical diagnostics.

Jennifer Wilcoxمشاهده پروفایل

استاد

• Carbon Management
• Carbon Capture and Storage
• Direct Air Capture
• +۶ مورد دیگر

Jennifer Wilcox is the Presidential Distinguished Professor of Chemical Engineering and Energy Policy at the University of Pennsylvania's School of Engineering and Applied Science. She holds the James H. Manning Chair and directs the Clean Energy Conversions Lab, which focuses on carbon management strategies to mitigate climate change. Wilcox also served as Principal Deputy Assistant Secretary of Fossil Energy and Carbon Management at the U.S. Department of Energy from January 2021. Her research spans carbon capture, utilization, and storage (CCUS), direct air capture (DAC), mineral carbonization, life cycle assessment, and techno-economic analysis of carbon management technologies. Wilcox's work examines both mitigation and adaptation strategies to minimize negative climate impacts associated with society's dependence on fossil fuels. She takes a multi-perspective approach that includes experimental work, materials characterization, geo-spatial analyses, systems modeling, and techno-economic analysis while considering environmental and social contexts. Wilcox's research has been featured in major publications including the first textbook on Carbon Capture and Storage, the California Getting to Neutral report, the CDR primer, Greenhouse Gas Removal Technologies, the State of CDR Volume 2, and the Roads to Removal report. Her work has received recognition including the DOE Secretary's Achievement Award for contributions to the Getting to Neutral report. Secretary's Achievement Award for work on the Getting to Neutral Report Principal Deputy Assistant Secretary of Fossil Energy and Carbon Management (2021) Author of the first textbook on Carbon Capture and Storage Lead contributor to the California Getting to Neutral report Co-author of the CDR primer with nearly 40 subject matter experts Wilcox mentors several PhD candidates and research associates including Maxwell Pisciotta, Shelvey Swett, Hélène Pilorgé, Shrey Patel, Aline Uwase, Katherine Vaz Gomes, and Abby Lunstrum. Her lab examines various carbon management strategies from technology development to deployment optimization, with a focus on maximizing climate change mitigation while minimizing adverse social and environmental impacts. The Clean Energy Conversions Lab tracks public funding for carbon management projects across the United States and analyzes lessons from recent legislation like the Bipartisan Infrastructure Law and Inflation Reduction Act to identify opportunities for carbon management.

• Gravitation Theory
• Cosmology
• Theoretical Physics
• +۳ مورد دیگر

Laur Järv is an Associate Professor in Theoretical Physics at the University of Tartu, Faculty of Science and Technology, Institute of Physics. He has been serving as Associate Professor since 2021 and is currently the Head of the Laboratory of Theoretical Physics (since 2019). His academic career at the University of Tartu spans over 20 years, with progressive roles from Post-Doc to his current position. Dr. Järv received his education at the University of Tartu (B.Sc. in Fundamental Physics, 1996; M.Sc. in Theoretical Physics, 1998) and completed his Ph.D. in Mathematical Sciences at the University of Durham in 2002. His doctoral research focused on "The enhancon mechanism in string theory" under the supervision of Clifford V Johnson. Dr. Järv's primary research interests lie in gravitational physics and cosmology, with particular focus on modified theories of gravity including teleparallel gravity, scalar-tensor theories, and nonmetricity-based approaches. His work explores the cosmological implications of these theories, including inflationary models, black hole solutions, and gravitational wave propagation. His research bridges theoretical physics with observational cosmology, addressing fundamental questions about the nature of gravity and the evolution of the universe. His publication record demonstrates a strong focus on geometric foundations of gravity, with numerous high-impact papers in leading journals like Physical Review D and Classical and Quantum Gravity. Recent work shows increasing emphasis on alternative formulations of gravity (teleparallel, symmetric teleparallel) and their cosmological applications, often collaborating with international researchers in the field. Estonian National Research Award in exact sciences (2020) for the cycle of works "Extended geometric theories of gravity" with Manuel Hohmann and Margus Saal University of Tartu Badge of Distinction (2021) Best teaching staff in the UT Institute of Physics, recognized by students (2024) Letter of recognition for supervision of Joosep Lember's award-winning student work (2022) Dr. Järv has been actively involved in academic mentoring, serving as a supervisor for student research projects and as an opponent for PhD defenses internationally. He has organized multiple international conferences on gravitational physics in Tartu, establishing the university as a hub for research in modified gravity theories. As Head of the Laboratory of Theoretical Physics, he leads a research group focused on geometric foundations of gravity and cosmological applications. Dr. Järv's laboratory has become a recognized center for research on alternative gravity theories, particularly through the organization of the biennial "Geometric Foundations of Gravity" conference series since 2017, which has attracted leading researchers from around the world to Tartu.

Ceren Budakمشاهده پروفایل

دانشیار

• Computational Social Science
• Social Media Analysis
• News Media Production and Consumption
• +۷ مورد دیگر

Ceren Budak is an Associate Professor at the University of Michigan School of Information and holds a joint appointment as Associate Professor of Electrical Engineering and Computer Science in the College of Engineering. Her work bridges computer science, statistics, and social sciences through computational social science approaches. Her educational background includes a PhD in Computer Science from the University of California, Santa Barbara (2012) and a Bachelors degree in Computer Science from Bilkent University in Turkey (2007). Prior to joining the University of Michigan faculty, she was a Postdoctoral Researcher at Microsoft Research New York. Professor Budak's research centers on computational social science, with particular emphasis on analyzing large-scale datasets to address questions with social, political, and policy implications. Her work spans several interconnected domains: News Media Production & Consumption (examining bias in news outlets and reader preferences), Social Movements & Media (using social media data to study collective action), Social Networks (understanding information diffusion processes), and Measuring and Promoting the Quality of Online Discussions (developing tools to improve online conversations). She teaches SI 608 (Networks) and SI 618 (Data Manipulation and Analysis) at the School of Information. Her publication record demonstrates consistent contributions to understanding how online information ecosystems operate, with recent work focusing on AI-human collaboration, misinformation dynamics, social movement framing, and the application of computational methods to political communication. Her research shows a clear trajectory from foundational work on social network diffusion to increasingly sophisticated analyses of contemporary information challenges. Among her service activities, she has served as Registration chair for COSN (ACM Conference on Online Social Networks) 2015 and as Program Committee Member for numerous prestigious conferences including WWW, ICWSM, WebSci, AAAI, and others. She has also been involved in organizing the MSR NYC Data Science Seminar Series and instructing the Microsoft Research Data Science Summer School.

Gonzalo Guillén Gosálbezمشاهده پروفایل

استاد

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

Michele Zorziمشاهده پروفایل

استاد

• Wireless Communications
• Networking
• mmWave Communications
• +۵ مورد دیگر

Michele Zorzi is a Professor of Telecommunications at the School of Engineering, University of Padova, Italy, where he has held a faculty position since 2003. He leads the SIGNET (Signal processing and Networking) Research Group, focusing on cutting-edge wireless networking challenges including mmWave communications and underwater networks. His extensive publication record exceeds 600 papers in top-tier journals and conferences, reflecting significant contributions to the field through both theoretical and experimental work. He received his Laurea Degree (1990) and Ph.D. (1994) in Electrical Engineering from the University of Padova. Prior academic appointments include Politecnico di Milano (1993-1996), University of California San Diego (1995-1998), and University of Ferrara (1998-2003), where he progressed from Associate Professor to full Professor. His educational trajectory demonstrates deep roots in Italian academia with international exposure. Professor Zorzi's research spans wireless communications and networking, with current emphases on mmWave networking for vehicular systems, underwater acoustic/optical communications, non-terrestrial networks, and AI-driven networking solutions. His group conducts experimental validations including at-sea trials for underwater systems and testbeds for vehicular networks. Key projects include PRATA for predictive QoS in autonomous driving and IoT-based environmental monitoring of the Venice Lagoon, demonstrating practical applications of theoretical work. Analysis of his 2022-2025 publications reveals strong trends in applying artificial intelligence to networking challenges across diverse environments. There is significant emphasis on vehicular networks (predictive QoS, teleoperated driving), underwater systems (acoustic/optical communications, AUV swarms), and satellite networks (Starlink integration, NTN security). Experimental validation in real-world scenarios like the Venice Lagoon monitoring project and underwater sea trials characterizes his applied research approach. His scientific accolades include: IEEE Fellow (2007) IEEE Communications Society Best Tutorial Paper Award (2008, 2019) Stephen O. Rice Best Paper Award (2018) Multiple best paper awards at IEEE conferences (2005-2020) As principal investigator for numerous European and US research projects plus 20+ industry-funded initiatives, Professor Zorzi has mentored over 35 PhD students and post-docs. Graduates now hold prominent positions at institutions including Stanford, UCSD, CTTC, and Huawei. His SIGNET group maintains active international collaborations and contributes to open-source networking tools via GitHub, demonstrating commitment to community engagement. The SIGNET Research Group, housed within the Department of Information Engineering, operates specialized experimental facilities for mmWave and underwater communications. Current initiatives include AI-based predictive QoS frameworks for vehicular networks, underwater optical communication systems using ultraviolet light, and large-scale IoT deployments for environmental monitoring. The group's GitHub presence indicates strong open-science practices, while recent sea trials confirm hands-on experimental capabilities beyond theoretical work.

• Environmental Assessment
• Waste Management Systems
• Life Cycle Assessment (LCA)
• +۳ مورد دیگر

Anders Damgaard is an Associate Professor and Head of BSc studies at the Department of Environmental and Resource Engineering (DTU Sustain), Technical University of Denmark. His research focuses on environmental assessment methodologies, particularly Life Cycle Assessment (LCA), and their application to waste management systems, resource recovery, and policy development. He leads the development of LCA models like EASEWASTE/EASETECH and collaborates with institutions such as the Danish EPA and Nordic Council of Ministers. Key research areas include carbon footprints of waste treatment, textile waste composition, and additive impacts in plastics recycling. Education: Not explicitly stated in provided texts. Research Interests: Waste management optimization, circular economy frameworks, sustainable technologies, and policy-driven environmental assessments. His recent publications address topics such as carbon footprints of sewage sludge treatments, Nordic textile waste composition, and challenges in plastic additive inclusion in LCA studies. He supervises PhD students in projects involving lifecycle modeling, construction waste recycling, and consumer practices in circular economies. As part of DTU Sustain, he contributes to interdisciplinary teams advancing sustainable resource management and policy solutions.

Peter Nilssonمشاهده پروفایل

استاد

• Labor Economics
• Health Economics
• Environmental Economics
• +۲ مورد دیگر

Peter Nilsson is a Professor of Economics at the Institute for International Economic Studies (IIES) , Stockholm University. He also holds a guest professorship at Linnaeus University and serves as a research fellow at IFAU , Uppsala Center for Labor Studies , CESifo , and CEPR . Previously, he was a postdoctoral fellow at Stanford University and obtained his PhD from Uppsala University (2010). Research Focus: His work bridges Labor Economics , Health Economics , and Environmental Economics , analyzing how early-life exposures (alcohol, lead), workplace dynamics, and policy interventions (unemployment insurance, congestion pricing) shape long-term socioeconomic outcomes. Key themes include Environmental Health Impacts on Cognition and Crime Labor Market Responses to Insurance Policies Peer Effects in Workplace Behavior Policy Design for Social Equity Scientific Awards: Nilsson has been recognized through research fellowships at leading institutions and editorial roles, including Associate Editor at The Economic Journal since 2021. His work has been featured in American Economic Review , Journal of Political Economy , and NBER platforms. Key Contributions: He provided testimony for Connecticut’s HB-5045 to reduce childhood lead exposure and contributed to Sweden’s Corona Commission report on pandemic responses. His empirical methods combine natural experiments with administrative datasets to identify causal relationships in health, labor, and environmental economics.

Nikos Tzavidisمشاهده پروفایل

استاد

• Small Area Estimation
• Official Statistics
• Outlier Robust Inference
• +۷ مورد دیگر

Professor Nikos Tzavidis is a Professor of Statistical Methodology at the University of Southampton . He has held academic positions at institutions including University College London and the University of Manchester, and currently leads research initiatives integrating statistical methodology with geospatial and survey data. His work focuses on Small Area Estimation, official statistics, and poverty mapping, with applications across global development and public policy. Research interests: Small Area Estimation and Official Statistics Outlier Robust Inference Quantile and M-quantile Models Geospatial Data Analysis Poverty Mapping Machine Learning Applications in Statistics Recent research trends emphasize machine learning integration, geospatial data utilization, and advanced quantile modeling for poverty and demographic studies. His publications span journals like the Journal of Official Statistics and the Journal of the Royal Statistical Society . Scientific awards: ISI Fellow (2013) American Statistical Association (2004) Vice Chancellor's Teaching Award (2013) Johann von Spix Professor (2023) He supervises PhD students in social statistics, demography, and geography, and serves on editorial boards for journals including the Journal of Official Statistics . Externally, he has held leadership roles in the International Statistical Institute and contributed to United Nations and World Bank projects.