جست‌وجوی استاد و پژوهشگر

Iñaki Esnaolaمشاهده پروفایل

مدرس ارشد

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

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

Mahdi Boloursaz Mashhadiمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Wireless Communications
• +۶ مورد دیگر

Mahdi Boloursaz Mashhadi is a Lecturer in Communications and AI at the Institute for Communication Systems (ICS), part of the School of Computer Science and Electronic Engineering at the University of Surrey, UK. He is a Surrey AI Fellow and an IEEE Senior Member, with a focus on advancing AI-driven wireless communication systems. He holds B.S., M.S., and Ph.D. degrees in mobile telecommunications from Sharif University of Technology, Tehran, Iran. Prior to joining Surrey, he served as a postdoctoral research associate at Imperial College London’s Intelligent Systems and Networks (ISN) Research Group (2019–2021). His research interests span AI/ML integration with wireless systems, including semantic communications, federated learning, generative AI for telecom, and beamforming optimization in massive MIMO architectures. He also explores edge computing, distributed deep learning frameworks, and energy-efficient communication designs using reconfigurable intelligent surfaces (RIS). Mahdi has been recognized with the IEEE EWDTS Best Paper Award and IEEE ComSoc Exemplary Reviewer Awards (2021–2022). He leads the UKTIN/DSIT 12M£ national project TUDOR and collaborates with industry on cutting-edge 5G/6G innovations. He has contributed to the ITU’s AI/ML in 5G challenge as a panel judge and serves as an editor for Springer’s Wireless Personal Communications Journal. His roles include advising on government/industry projects and advancing interdisciplinary research at the 5G/6G Innovation Centre. He emphasizes practical implementations of AI in telecommunications, aiming to bridge theoretical advancements with real-world applications.

Giuseppe Moscariniمشاهده پروفایل

استاد

• Macroeconomics
• Labor Economics
• Job Search
• +۶ مورد دیگر

Giuseppe Moscarini is the Philip Golden Bartlett Professor of Economics at Yale University and a Research Associate at the National Bureau of Economic Research (NBER). He co-chairs the Micro and Macroeconomic Perspectives on the Aggregate Labor Market working group at NBER and serves as Co-Director of the Research Program in Macroeconomics at the Cowles Foundation. Previously, he held the Henry Kohn Associate Professorship at Yale and was a Sloan Foundation Research Fellow. His research focuses on labor markets, unemployment, wage inequality, and business cycles, with recent work analyzing labor market flows and employer-to-employer transitions. He has developed methodologies to measure and predict wage inflation dynamics, including a novel Phillips curve framework. Education: Ph.D. in Economics from MIT (1996), Laurea in Economia e Commercio from Università di Roma La Sapienza (1991). Research emphasizes theoretical and empirical labor market dynamics, including pricing, monetary policy, and information economics. His work bridges macroeconomic and microeconomic perspectives, with contributions to understanding firm size impacts on job creation and cyclical job ladder dynamics. Articles highlight employer mobility, wage dispersion, and post-recession labor market challenges. Awards: None explicitly listed. Editorial roles include co-Editor of Theoretical Economics and Associate Editor of the Journal of Economic Theory. Grants and lab affiliations include the Cowles Foundation and Federal Reserve Bank collaborations. Advising includes PhD student Francesco Beraldi.

Ahmed Hemaniمشاهده پروفایل

استاد

• Computer Engineering
• Embedded Systems
• Hardware Acceleration
• +۵ مورد دیگر

Professor Ahmed Hemani is a faculty member at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty. He holds the role of PI for the project 'New Chip Architectures for Industrial Vision' and leads research in reconfigurable computing, memristor-based systems, and hardware acceleration for AI and edge computing. His work bridges theoretical computer science with practical VLSI design and embedded systems development. He actively contributes to cross-disciplinary initiatives at Digital Futures, a joint center with Stockholm University and RISE Research Institutes of Sweden focused on digital innovation. His research emphasizes scalable FPGA/HPC architectures, low-power neuromorphic systems, and optimization techniques for custom silicon solutions. Current projects include a Lego-inspired edge AI framework and memristor-driven MIMO acceleration. Teaching responsibilities span advanced courses in SOC design, digital system verification, and embedded systems. He supervises advanced-level degree projects across computer engineering and ICT innovation specializations, emphasizing hands-on hardware-software co-design methodologies. Recent publications highlight innovations in memristor applications, FPGA-based acceleration, and reconfigurable architectures for neural networks and bioinformatics. His work addresses challenges in dark silicon utilization, energy-efficient computation, and high-performance embedded systems.

Niharika Panditمشاهده پروفایل

مدرس

• Feminist Theory
• Postcolonial Studies
• Gender and Racialization
• +۳ مورد دیگر

Dr. Niharika Pandit is a Lecturer in Sociology at Queen Mary University of London's School of Politics and International Relations, joining in September 2023. A feminist theorist, her interdisciplinary research examines gender, racialization, and post/coloniality through transnational and anticolonial frameworks. Educational background comprises: BA (Sophia College, University of Mumbai) MA Gender Studies (SOAS) PhD (London School of Economics) PGCertHE (LSE) Research focuses on everyday politics in conflict zones, epistemic justice in Global South contexts, and liberatory feminist/queer praxis. Current projects include a monograph analyzing gender/coloniality in Kashmir and research on 'Azadi' as political imaginary. Publications demonstrate consistent engagement with militarization's gendered impacts, feminist methodologies, and anticolonial resistance. Recent articles received the Feminist Theory Essay Prize and ISA recognition. Awards highlight excellence in both scholarship and teaching, including the prestigious Michael Nicholson Thesis Prize, Feminist Theory Essay Prize, and multiple teaching commendations. Secured funding from International Peace Research Association Foundation and Felix Scholarship. Editorial collective member for Engenderings and Otherwise Magazine. Teaches POL180 Global Sociology and POL109 Global Histories.

Raja Jurdakمشاهده پروفایل

استاد

• Distributed Systems
• Blockchain Technology
• Network Modeling
• +۷ مورد دیگر

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

Wolfgang Schröder-Preikschatمشاهده پروفایل

استاد

• Distributed Systems
• Operating Systems
• Main Memory Technologies
• +۴ مورد دیگر

Prof. (ret.) Dr.-Ing. habil. Wolfgang Schröder-Preikschat is a retired Full Professor at the Friedrich-Alexander University (FAU) Erlangen-Nuremberg, affiliated with the Chair of Computer Science 4 (System Software). His expertise focuses on distributed systems, operating systems, and resilient computing architectures. Affiliations: Faculty of Engineering, Department of Computer Science Key Roles: Former Chair of Computer Science 4, Co-lead scientist in Priority Program 2377 (Disruptive Main Memory Technologies) and Priority Program 2378 (Resilient Worlds) Research Contributions: Specializes in power-aware non-volatile memory systems (PAVE project), robust embedded data communication (ResPECT project), and fault-tolerant distributed systems. His work addresses challenges in main memory technologies, system resilience against failures/attacks, and energy-efficient computing. Projects: Leads initiatives like Power Failure-Aware Virtual Non-Volatile Memory (PAVE) and Robust, Power-Efficient Embedded Data Communication Stations (ResPECT), advancing system software reliability and efficiency. Contact: Room 0.054, Martensstr. 1, Erlangen. Email: wosch@cs.fau.de , Website: sys.cs.fau.de/~wosch

Joel W. Simmonsمشاهده پروفایل

دانشیار

• Political Economy
• Economic Growth
• Globalization
• +۳ مورد دیگر

Joel W. Simmons is an Associate Professor at Georgetown University, affiliated with the Edmund A. Walsh School of Foreign Service and the Department of Government. He holds a PhD from the University of Michigan. His research focuses on political economy, emphasizing economic growth, globalization, social policy, democracy, and gender dynamics. Key works include his book The Politics of Technological Progress (Cambridge University Press, 2016) and articles in top journals like World Politics and International Organization . His 2024 article on democracy and economic growth explores theoretical and empirical linkages, while recent studies address gendered economic consequences of exchange rates and corruption's impact on voter behavior. His work spans methodological innovations (e.g., detecting government violence anomalies) and policy-relevant topics like resource wealth's gendered effects. No formal awards are listed, but his publications reflect sustained academic impact. He advises no listed students but collaborates with institutions like Princeton and Rice University. His research often bridges macro-level political economy with micro-level gender and voter dynamics, contributing to debates on development, governance, and global inequalities.

• Auction Theory
• Mechanism Design
• Political Economy
• +۳ مورد دیگر

Ian Gale is a Professor of Economics at Georgetown University's Department of Economics. His research focuses on auction theory, mechanism design, political economy, and industrial organization. He has contributed to understanding optimal resource allocation under budget constraints, the welfare effects of market regulations, and the design of efficient economic systems. Key areas of research include analyzing auctions with financially constrained bidders, the impact of lobbying caps on political outcomes, and the antitrust implications of market dominance. Gale has explored topics such as use-or-lose provisions, research contest design, and sequential procurement strategies. His work often bridges theoretical models with practical policy applications, particularly in public procurement and regulatory frameworks. Gale's publications span leading journals like the American Economic Review, Review of Economic Studies, and Games and Economic Behavior. His research emphasizes mechanisms that ensure economic efficiency and fairness in markets with asymmetric information or strategic behavior. He is affiliated with the Georgetown Center for Economic Research (GCER) and maintains an active role in academic collaborations. No grants or lab affiliations are explicitly listed in the provided materials.

• Advanced Materials
• Energy Storage
• Aerospace Engineering
• +۷ مورد دیگر

Prof. Alan Kin-tak Lau is an Adjunct Professor in the Department of Mechanical Engineering & Product Design at Swinburne University of Technology. He previously served as Pro Vice-Chancellor (International and Digital Research), overseeing global research collaborations and digital innovation. His expertise spans advanced materials, manufacturing, and product design, with a focus on aerospace applications, energy storage, and sustainable technologies. Lau holds adjunct roles at Chonbuk National University and is a Fellow of multiple prestigious institutions, including the European Academy of Sciences and the Royal Aeronautical Society. Affiliations: Swinburne University of Technology Roles: Adjunct Professor, Former Pro Vice-Chancellor Research interests include nanomaterials for energy storage (e.g., supercapacitors, hydrogen systems), composite materials for aerospace, and eco-friendly manufacturing. He leads interdisciplinary projects like the Aerostructures Innovation Research Hub and the Research Centre for New Energy Transition. Lau has secured over AUD 100M in grants and supervised numerous PhD projects on topics like graphene composites and additive manufacturing. Notable awards include the VEBLEO Best Scientist Award (2020), UGC Teaching Excellence Award (2013), and the Young Engineer of the Year Award (2004). He chairs international conferences and serves on boards of companies like King’s Flair International. His work bridges academia and industry, with patents and commercial applications in sustainable materials and EV technologies.

Stephen G. Brooksمشاهده پروفایل

استاد

• International Security
• U.S. Foreign Policy
• Interaction of Economics and Security
• +۱ مورد دیگر

Stephen G. Brooks is a Professor of Government at Dartmouth College, affiliated with the John Sloan Dickey Center for International Understanding. His expertise spans International Security, U.S. Foreign Policy, and the interplay between economics and security. Brooks has held academic appointments since at least 1999, contributing extensively to policy-relevant research. Education: B.A. (Highest Honors, Phi Beta Kappa) from the University of California, Santa Cruz; M.A., M.Phil., and Ph.D. (with Distinction) from Yale University. His research emphasizes U.S. global strategy, economic power dynamics, and the resilience of American primacy. Notable books include World Out of Balance (2008) and Command of Commerce (2025), co-authored with Ben Vagle. His work frequently analyzes how economic interdependence shapes security outcomes, with a focus on Sino-U.S. relations. Courses taught include International Politics and U.S. Security Policy. Brooks' articles address topics like European defense capabilities, multipolarity myths, and forest-linked livelihoods in globalization. His scholarship challenges assumptions about China's rise and advocates for sustained U.S. global engagement. Active in peer review for journals like International Organization , he also contributes to policy discussions on forest governance and land rights in developing nations.

Francesco Bulloمشاهده پروفایل

استاد

• Control Theory
• Network Systems
• Distributed Control
• +۵ مورد دیگر

Francesco Bullo is a Distinguished Professor of Mechanical Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. He holds joint appointments in Electrical and Computer Engineering, Computer Science, and the Center for Control, Dynamical Systems, and Computation. His research focuses on distributed control, network systems, and neural networks, with notable contributions to contraction theory and social dynamics analysis. Education: Laurea (1994, University of Padova), PhD (1998, Caltech). Leadership roles: Former IEEE CSS President, SIAG CST Chair. Research interests include biological/artificial neural networks, distributed control of robotic networks, and synchronization in power grids. He authored books like Lectures on Network Systems and Contraction Theory for Dynamical Systems . His work spans 300+ publications, including impactful articles on Hopfield networks, power grid stability, and optimization. Awards include IEEE Fellow, ASME Fellow, and SIAM Fellow. Advising and grants: Mentored over 30 PhD students and led major projects like the NSF MURI on team behavior modeling. Current research includes neural synchronization and AI-driven control. Labs/teams: Directs the UCSB Center for Control, Dynamical Systems, and Computation, and collaborates on interdisciplinary initiatives like the Network Science for Medicine white paper.

Vincenzo Liberatoreمشاهده پروفایل

دانشیار

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

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

Bruce Stephenمشاهده پروفایل

مدرس ارشد

• Data-Driven Methods
• Power Systems
• Smart Grids
• +۱۲ مورد دیگر

Bruce Stephen is a Senior Lecturer and Strathclyde Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he has been since 1999. His work lies at the intersection of data science and power systems engineering, with a strong focus on real-world industrial applications. His educational background includes a BSc in Aeronautical Engineering from the University of Glasgow (1997), an MSc from the University of Strathclyde (1998), and a PhD in Electronic and Electrical Engineering (2005) from the University of Strathclyde. Dr. Stephen's research centers on data-driven methodologies for solving complex engineering challenges in power systems, particularly under conditions of limited data or domain knowledge. His applications span the entire energy value chain—from generation (nuclear, wind, solar) to transmission, distribution, and end-use. He develops software solutions for condition assessment, anomaly detection, and predictive modeling to support asset management and future grid planning. Notably, he co-founded Silent Herdsman Ltd, a spin-out company applying intelligent systems to precision livestock farming. His recent publications highlight a strong trend toward advanced machine learning techniques such as transfer learning, surrogate modeling, and synthetic data generation (e.g., using CTGANs) to improve reliability and decision-making in power systems. These works emphasize explainability, uncertainty quantification, and scalability, particularly in renewable-rich and data-scarce environments. Dr. Stephen is currently the Principal Investigator on the EPSRC-funded Analytical Middleware for Informed Distribution Networks (AMIDiNe) project, aiming to identify barriers to Net Zero through improved data modeling of unmonitored networks. He has also contributed to major projects including EU FP7 ORIGIN, EPSRC APAtSCHE, AGILE, and Transactive Energy Supply Arrangements. He actively advises students and collaborates on interdisciplinary research. His professional activities include organizing the QFF Quarterly Forecasting Forum (2018) and delivering invited talks at industry workshops. He has supervised datasets and research involving structural health monitoring and industrial diagnostics. His work supports UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.

Ivan Duricمشاهده پروفایل

پژوهشگر ارشد

• Digitalization in agriculture
• Artificial intelligence and machine learning in agri-food systems
• Blockchain applications in agriculture and food industry
• +۴ مورد دیگر

Dr. Ivan Duric is a Research Fellow at the Department of Agricultural Markets, Agricultural Marketing and World Agricultural Trade, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany. Since October 2008 he has led and contributed to numerous international research projects focusing on digital transformation, trade policy, and value-chain analysis in agriculture and food systems. Education: Doctorate (Dr.) “summa cum laude” in Agricultural Economics, Faculty of Agriculture, Martin Luther University Halle-Wittenberg. Research Interests: Dr. Duric’s core expertise lies at the intersection of digital technologies and agri-food economics . His work explores how machine learning, blockchain, and immersive analytics reshape agricultural value chains, enhance transparency, and improve competitiveness. He continually investigates price transmission mechanisms , the impact of trade policy shocks (e.g., export bans, import restrictions), and pathways to strengthen food security in transition and emerging economies. Across more than forty peer-reviewed articles and policy briefs, a clear trend emerges: rigorous empirical assessment of how policy interventions and digital innovations jointly determine market outcomes—from wheat-to-bread chains in Serbia to salmon value networks spanning Norway, France and Poland. Awards & Recognition: Doctoral degree awarded “summa cum laude” (highest distinction), Martin Luther University Halle-Wittenberg. Grants & Collaborative Projects: Dr. Duric has co-ordinated or served as senior researcher in major EU and German-funded initiatives including AGRICISTRADE, AgriDigital, AGRIIMMERSE, VALUMICS, SecureFood, GERUKA, eTrust-Food, DITAC, GTRS, STARLAP, TAAST, UaFoodTrade , and the IAMO XR Lab . These projects investigate global grain trade, digital platform adoption, consumer trust, resilience of food systems, and immersive data analytics. Labs & Teams: He is a founding member and scientific lead of the IAMO XR Lab , where virtual-reality and immersive analytics are leveraged to visualize and interpret complex agricultural market data, creating new avenues for stakeholder engagement and policy dialogue.