جستجوی استاد راهنمای دانشگاهی

Elliot Wright Hawkesمشاهده پروفایل

دانشیار

• Robotics
• Soft Robotics
• Mechanical Engineering
• +۳ مورد دیگر

Elliot Wright Hawkes is an Associate Professor at the Department of Mechanical Engineering , University of California, Santa Barbara . He leads the Hawkes Group, focusing on robotics innovation through design, mechanics, and non-traditional materials. His research enables robust, adaptable, human-safe robots for unstructured environments. Hawkes holds a PhD in Mechanical Engineering (2015) and MS in Mechanical Engineering (2014) from Stanford University, and a AB in Mechanical Engineering (2011) from Harvard. Research Areas : Solid Mechanics, Materials & Structures, Dynamic Systems and Control, Robotics, Biomechanics, Micro/Nanoscale Engineering Key Projects : Bio-inspired microstructured adhesives, Non-linear compliant mechanisms, High-power soft actuators, Soft exoskeletons, Growing robots His work has produced 20+ patents and 15+ recent publications spanning vine robots, soft actuators, rehabilitation devices, and extreme mobility systems. Notable awards include: Presidential Early Career Award for Scientists and Engineers (PECASE) National Science Foundation CAREER Award NASA Early Career Faculty Award 2020 Packard Fellow Northrop Grumman Excellence in Teaching Award Student Advisees (PhD/Master's): Matthew Devlin, William Heap, Sophia Paul, Nathan Usevitch, Charles Xiao, Nicholas Naclerio, David Haggerty, Lucia Gan, Patrick Slade, Cole Simpson, Mengjia Zhu, Anna Alvarez, Mijail Mendoza Flores, Laura Blumenschein, Tania Morimoto, Zachary Hammond, Muhammad Usman, Hao Jiang, Inrak Choi, and others. Laboratory Focus : The Hawkes Lab explores the intersection of design, mechanics, and materials to solve challenges in robotics, medicine, and biomechanics. Notable projects include: Material-like robotic collectives with spatiotemporal control Variable friction shoe for rehabilitation (US Patent 12,082,641) Soft robotic burrowing devices for NASA applications Light-controlled actuator arrays for extreme environments Plant root-inspired anchoring systems for granular media

Somnath Basuمشاهده پروفایل

استاد

• Metallurgical Engineering
• Materials Science
• Steelmaking
• +۷ مورد دیگر

Somnath Basu is a Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay. He has been serving in academic roles since 2011, progressing from Assistant Professor to Associate Professor and then to Professor in 2022. His work is deeply rooted in process metallurgy and materials engineering, with a focus on industrial steelmaking technologies. His research interests include metal refining , thermodynamics of slag-metal reactions , phosphorus and sulfur removal , and continuous casting processes . He also explores nanofluids and their transport properties, indicating interdisciplinary engagement. His work bridges fundamental thermodynamic studies with practical industrial applications in iron and steel production. The selected publications reflect a strong trend in steelmaking process optimization , particularly in reaction kinetics , inclusion behavior , and process monitoring . His research spans both experimental investigations and thermodynamic modeling, targeting improvements in steel purity and casting efficiency. Scientific Contributions: Published in leading journals such as ISIJ International , Steel Research International , and Metallurgical and Materials Transactions B . Contributions to understanding phosphorus partitioning, nozzle clogging, and nanofluid conductivity. While no specific students or grants are listed, his long-standing academic position and publication record suggest active supervision of graduate research and involvement in funded projects related to metallurgical process innovation. His work likely supports both academic and industrial advancements in steel technology. He is affiliated with a leading research department equipped with advanced facilities for metallurgical experimentation and process simulation, though specific lab names or team structures are not mentioned in the text.

• Evolutionary Biology
• Plant Biology
• Genetics
• +۳ مورد دیگر

Professor Vincent Savolainen is a Professor of Organismic Biology at Imperial College London's Department of Life Sciences (Silwood Park Campus), part of the Faculty of Natural Sciences. He serves as Director of the Georgina Mace Centre for the Living Planet, focusing on interdisciplinary environmental challenges. Previously, he was Deputy Head of the Department of Life Sciences (2013–2016) and Deputy Head of Molecular Systematics at the Royal Botanic Gardens, Kew (2007–2016). His research integrates field ecology, molecular phylogenetics, and population genomics to address biodiversity preservation, evolutionary biology, and societal challenges like pandemic monitoring. Key areas include ecological speciation in palms, same-sex behavior in animals, and zoonotic disease surveillance in bats. He has pioneered environmental DNA (eDNA) techniques for biodiversity assessment and led studies on the genetic basis of traits like sexual orientation in primates. Professor Savolainen holds prestigious awards, including the Linnean Society’s Bicentenary Medal (2006), European Research Council Advanced Grant (2008), and Coincy Medal for Botany (2014). He sits on UK Natural Environment Research Council panels and Royal Society committees. His group includes researchers like Dr Marco Balducci and Dr Louis Bell-Roberts, and collaborates with institutions like the Zoological Society of London and Royal Society of Biology. Current projects explore plant-insect coevolution, conservation genetics of deer species, and the evolution of endothermy in fish.

Ralph Baileyمشاهده پروفایل

دانشیار

• Quantitative Methods
• Philosophy of Research and Enquiry

Ralph Bailey is an Associate Professor in Economics at the University of Birmingham , affiliated with the Birmingham Business School and Department of Economics . His work bridges quantitative methods and philosophy of research and enquiry , with methodological contributions to econometrics and mathematical economics. Education : BSc (Durham), MA (Lancaster), MSocSc (Birmingham) His publications focus on statistical modeling, time series analysis, and theoretical economics, including works on deunionization impacts , ARMA processes , and public good provision under ambiguity . Recent studies explore earnings dispersion, near-integration in regression, and macroeconomic sustainability frameworks. Contact : r.w.bailey@bham.ac.uk

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

• Cyber-Physical Systems
• System Safety Assurance
• Model-Based Engineering
• +۲ مورد دیگر

Sohag Kabir is an Associate Professor in the School of Computer Science, Artificial Intelligence, and Electronics at the University of Bradford. He leads the MSc Big Data Science and Technology, MSc Artificial Intelligence and Machine Learning, and MSc Applied Computer Science and Artificial Intelligence programs. He holds a Ph.D. in Computer Science from the University of Hull (2016), an M.Sc. in Embedded Systems, and a B.Sc. in Computer Science and Engineering. Dr. Kabir's research focuses on safety, reliability, and security assurance of cyber-physical autonomous systems. His work includes model-based safety analysis, probabilistic risk assessment, dynamic reliability analysis, and stochastic modeling. Current projects address IoT security, machine learning certification for automotive systems, and dependability frameworks for complex systems. His publications demonstrate consistent focus on developing integrated frameworks for system dependability, with recent work emphasizing IoT security, autonomous vehicle safety, and AI certification challenges. Dr. Kabir has contributed to multiple EU-funded projects including DEIS (Dependability Engineering Innovation for Cyber-Physical Systems) and MAENAD (Model-based Analysis & Engineering of Novel Architectures for Dependable Electric Vehicles).

Erik Hjalmarssonمشاهده پروفایل

استاد

• Empirical Finance
• Financial Econometrics
• Empirical Asset Pricing
• +۴ مورد دیگر

Erik Hjalmarsson is a Professor of Banking and Financial Economics at the Department of Economics, University of Gothenburg. He holds the Felix Neubergh Chair and previously served as Director of the Centre for Finance. His research focuses on empirical asset pricing, financial econometrics, and long-run stock returns. Hjalmarsson earned his PhD from Yale University and has held roles at the Federal Reserve Board and Winton Capital Management. Education: PhD (Yale University, 2005), M.Sc. in Econometrics (London School of Economics, 2000), B.Sc. in Mathematical Statistics (University of Gothenburg, 1999). Research interests include stock return predictability, high-frequency trading, and econometric methods. His work has been published in top journals like the Journal of Finance and Journal of Financial Economics . Key grants include funding from the Swedish Research Council and Marianne and Marcus Wallenberg Foundation. Awards include the Carl Anderson Prize (2004) and multiple stipends for doctoral education. He supervises PhD students and advises on central bank policies. His recent studies explore long-horizon returns, inflation expectations, and portfolio strategies. Teaching includes PhD courses in econometrics and financial economics. He serves on editorial boards and as a referee for leading journals.

Joseph Rootمشاهده پروفایل

استادیار

• Microeconomic Theory
• Game Theory
• Market Design
• +۳ مورد دیگر

Joseph Root is an Assistant Professor in the Department of Economics at the University of Chicago, affiliated with the College of Arts and Sciences. His research focuses on economic theory, particularly mechanism design, market design, and social choice theory. Before joining UChicago in 2021, he held postdoctoral and fellowship positions at Caltech in economic theory and data science. University of Chicago (2021–present): Assistant Professor in Economics Caltech: Linde Postdoc & PIMCO Fellow in Data Science (pre-2021) His work analyzes strategic interactions, fairness in allocation mechanisms, and topological methods in social choice. Recent publications address school assignment, stable matching, and constrained market design. Root has received recognition through prestigious fellowships and contributes to theoretical advancements in economic systems. Scientific awards include: Linde Postdoctoral Fellowship, Caltech PIMCO Fellowship in Data Science, Caltech

Amit Senمشاهده پروفایل

استاد

• Econometrics
• Applied Statistics
• Time Series Analysis
• +۱ مورد دیگر

Amit Sen is a Professor of Economics at Xavier University, with expertise in econometrics, applied statistics, and time series analysis. He co-directs the Center for International Business and oversees international study programs for the MBA and B.S.B.A. in International Business. His research focuses on methodological challenges in unit root testing and structural breaks in time series data. Educational Background: Ph.D. in Economics & Statistics (co-major) from North Carolina State University, M.E. in Economics, and B.A. (Honours) in Mathematics. Sen’s research has been published in leading journals such as the Journal of Business and Economic Statistics, The Econometrics Journal, and Computational Statistics & Data Analysis. His work emphasizes statistical inference in non-stationary time series and economic applications like income convergence and unemployment disparities. He teaches econometrics, time series analysis, and international business courses across undergraduate, M.S., and MBA programs. Sen also contributes to the Philosophy, Politics & the Public Honors program and the Modern Languages & International Economics B.A. program at Xavier. His recent publications (2018-2003) explore unit root methodologies, innovation variance breaks, and economic empirics, reflecting a consistent focus on advancing econometric techniques for real-world data analysis. No scientific awards are mentioned in the provided text.

Jianbei Huangمشاهده پروفایل

پژوهشگر ارشد

• Biogeochemistry
• Ecosystem Dynamics
• Climate Change
• +۳ مورد دیگر

Dr. Jianbei Huang is a Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, within the Department of Biogeochemical Processes (BGP). His research focuses on understanding mechanisms driving plant-soil carbon cycling, particularly in dryland ecosystems and plant allocation strategies. Key areas include how environmental stresses like drought affect carbon partitioning, tree defense mechanisms, and ecosystem resilience. His work integrates field experiments, isotopic labeling (e.g., 13C, 14C), and advanced analytical techniques (e.g., LC/GC-MS, PTR-MS) to study carbon dynamics, secondary metabolites, and BVOC emissions. Collaborations with Prof. Susan Trumbore and Prof. Sönke Zaehle highlight interdisciplinary approaches to model ecosystem responses under climate change. Research themes emphasize trade-offs between growth, carbon storage, and defense in trees, as well as the impact of extreme climate events on vegetation and soil carbon. Current opportunities include postdoc and PhD positions on dryland forest ecology and carbon-water relations in changing climates. Affiliations: Max Planck Institute for Biogeochemistry (Jena, Germany) Labs/Teams: Dryland Ecosystem Processes Group, Plant Allocation Research Notable projects include investigating Mediterranean forest responses to drought, carbon storage prioritization in spruce trees, and modeling tree defense against bark beetles in drying environments.

Anja Feldmannمشاهده پروفایل

استاد

• Internet Measurement
• Network Performance Debugging
• Software-Defined Networking
• +۷ مورد دیگر

Anja Feldmann is Director at the Max Planck Institute for Informatics in Saarbrücken and Professor of Internet Network Architectures at Technische Universität Berlin (since 2006). Previously she held a full professorship at Technische Universität München (2002–2006) and conducted research at AT&T Labs Research , Saarland University , and Carnegie Mellon University , where she earned her Ph.D. in 1995. Education Ph.D. in Computer Science, Carnegie Mellon University, 1995 M.Sc. in Computer Science, Carnegie Mellon University, 1991 Diplom in Computer Science, Universität Paderborn, 1990 Research Interests Anja Feldmann’s research centers on measurement-driven understanding of the Internet. She tackles challenges such as software-defined networking , cloud-network interactions , performance debugging , and traffic characterization . A growing focus is the privacy and security of networked systems, evidenced by recent studies on online tracking, DNS security, and disinformation ecosystems. Her group designs scalable measurement platforms that combine passive and active monitoring , programmable data planes , and machine-learning analytics to dissect phenomena ranging from terabit-scale traffic to covert tracking on illegal streaming sites. Recent Publication Themes The 2021-2025 publications reveal a methodological evolution toward large-scale, longitudinal measurement . Topics include: Impact of global events (COVID-19, CrowdStrike outage) on Internet traffic Cross-country tracking ecosystems and privacy leaks DNS root and routing plane stability and security ML-driven real-time monitoring at terabit speeds Disinformation campaigns on encrypted messaging platforms Scientific Awards Gottfried Wilhelm Leibniz Prize (2011) – Germany’s highest research honor Berliner Wissenschaftspreis (2011) Elected Member of the German National Academy of Sciences Leopoldina (2009) Advising & Grants While individual student names are not listed, Prof. Feldmann leads a vibrant team at MPI-INF’s Internet Architecture department. She has supervised numerous doctoral candidates and post-doctoral researchers whose work is reflected in the co-authored papers. Funding sources include the German Research Foundation (DFG) via the Leibniz Prize and EU Horizon projects, although explicit grant numbers are not provided in the source material. Labs & Teams She heads the Internet Architecture department at MPI-INF, located at the Saarland Informatics Campus . The department operates state-of-the-art measurement infrastructure—including programmable switches, honeynets, and global vantage points—to support empirical network science.

• Political Economy
• Economics of Crime
• Happiness Studies
• +۴ مورد دیگر

Rafael M. Di Tella is the William Ziegler Professor of Business Administration at Harvard Business School (HBS), where he has been faculty since 1997. He teaches courses on business history, the business environment, and institutions/macroeconomics. His research focuses on political economy, crime and corruption, happiness studies, and welfare state design. He holds a D.Phil in Economics from Oxford University (1996) and a first degree in Economics from the Universidad de Buenos Aires (1990). Affiliations: Harvard Business School, Business, Government and the International Economy department Teaching: Business History, Macroeconomic Policy, Institutions Research interests span political economy mechanisms shaping institutional development, happiness economics (linking subjective well-being to policy design), and the economic roots of crime and corruption. Notable contributions include analysis of Latin American political economies, fiscal responses to crises, and the role of beliefs in economic behavior. Key projects: Impact of electronic monitoring on recidivism, media bias effects on corruption, happiness adaptation to income Recent work includes studies on strategic political platforms during U.S./French elections (2023), pandemic drug diffusion (2023), and social media's role in polarization (2021). He has published over 100 peer-reviewed articles and authored/co-authored books like The Economics of Crime (2010). His research frequently bridges theory with real-world policy challenges in developing economies. Receives frequent media attention for insights on populism, fiscal policy, and macroeconomic governance. Serves on editorial boards of top journals including the American Economic Review and Journal of Comparative Economics.

Ahmed Saeedمشاهده پروفایل

استادیار

• Scalable Computer Networks
• Congestion Control
• Operating Systems
• +۵ مورد دیگر

Ahmed Saeed is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, specializing in scalable computer networks and systems. His research spans congestion control, operating systems, LEO satellite networks, and formal methods, with a strong record of publications and active mentorship. Education: PhD in Computer Science, Georgia Institute of Technology (2019) Bachelor's in Computer and Systems Engineering, Alexandria University (2010) Postdoctoral Associate, MIT (with Prof. Mohammad Alizadeh) Research Interests: Ahmed's work focuses on the theory, design, and implementation of scalable networked systems. Key themes include: Congestion control algorithms for datacenter and WAN traffic Overload control mechanisms for microsecond-scale RPCs Performance debugging tools for datacenter applications LEO satellite network modeling and policy analysis Formal verification of network protocols and resource schedulers Recent Publications Trend: His 2024-2025 papers emphasize LEO satellite resilience and datacenter performance , with contributions to emergency failover modeling, latency debugging tools, and congestion control protocols. These works combine empirical measurement, formal modeling, and policy recommendations. Awards & Funding: NSF CAREER Award (2024) – LEO satellite variability ($600k) NSF CNS Core Awards (2022) – Edge server stacks & formal verification (total $2.38M) Google Research Award (2022) – Scalable edge systems ($80k) DARPA Risers Top 5 Poster (2022) Spec Tech Award (2023) – Nanomodular electronics routing ($40k) Teaching & Service: He regularly teaches Computer Networking I (CS 3251) and Datacenter Networks & Systems (CS 8803) . Service includes PC roles for SIGCOMM, NSDI, CoNEXT, and Networking area co-chair for JSys. Lab & Students: Ahmed leads an active research group with PhD students Peidi Song, Bhaskar Pardeshi, Sherif Abdelrazek; MS students Dhyey Thummar, Pratyush Sahu, Sammy Kapoor; and undergraduate Demi Lei. Alumni have joined industry leaders like Juniper, Microsoft, and Snowflake.

Jared Duker Lichtmanمشاهده پروفایل

استادیار

• Number Theory
• Analytic Number Theory
• Multiplicative Number Theory
• +۳ مورد دیگر

Jared Duker Lichtman is a Szegö Assistant Professor at Stanford University's Department of Mathematics, beginning in the 2024-25 academic year. Previously, he served as an NSF Postdoctoral Fellow at Stanford under Prof. Kannan Soundararajan. He completed his PhD at the University of Oxford in 2023, focusing on multiplicative number theory. His research centers on prime number distribution, multiplicative structures, and analytic number theory. Notably, he established a world record in studying primes' distribution within arithmetic progressions. His work bridges classical number theory with modern techniques like sieve methods and L-function analysis. Jared's publications explore topics such as the abc conjecture, twin primes, and Erdős problems. While no formal awards are listed, his groundbreaking contributions to prime distribution and multiplicative number theory mark him as a rising star in the field. His academic trajectory includes a focus on primes in arithmetic progressions, Goldbach conjecture extensions, and probabilistic number theory applications. Ongoing research likely continues this trajectory, with potential implications for cryptography and additive number theory.