جست‌وجوی استاد و پژوهشگر

• Global Energy Systems
• Fossil Fuel Production
• Resource Depletion
• +۹ مورد دیگر

Mikael Höök is an Associate Professor in Natural Resources and Sustainable Development at Uppsala University , affiliated with the Department of Earth Sciences and the Centre for Environment and Development Studies (CEMUS) . He leads the Global Energy Systems Research group and holds a PhD in global energy resources. His work focuses on fossil fuel availability, energy system modeling, and sustainability challenges in energy transitions. Research Interests: His research spans fossil fuel production (oil, coal), resource depletion, energy security, and quantitative modeling of energy systems. He also investigates the supply of critical raw materials for clean energy technologies and the broader implications for climate change and energy policy. His work combines technical analysis with policy relevance, often focusing on China and global scenarios. Recent Publication Trends: The 15 most recent articles show a strong focus on the energy-metal nexus , methane emissions , and material requirements for renewable energy deployment. There is a clear shift toward analyzing the sustainability and feasibility of low-carbon transitions, with a particular emphasis on China. Topics such as net energy analysis, shale gas development, and energy policy modeling are recurrent themes, reflecting a systems-level approach to global energy challenges. Scientific Contributions: Extensive publications in top journals including Energy Policy , Applied Energy , Nature Energy , and Sustainability . Author of influential reports and book chapters on coal, oil, and energy transitions. Key figure in energy return on investment (EROI) and peak oil research. Teaching and Advising: He teaches courses in energy systems, energy security, and sustainability. While specific students are not listed, he collaborates widely with researchers such as Xu Tang , Henrik Wachtmeister , and Benjamin McLellan , indicating an active supervisory and mentoring role. Grants and Research Leadership: Currently leads several research projects on global oil supply and resource availability for energy transitions, indicating active grant funding and project leadership. Labs and Teams: He heads the Global Energy Systems Research group at Uppsala University, which conducts interdisciplinary research on energy resources, modeling, and sustainability.

Subham Sahooمشاهده پروفایل

دانشیار

• Power Electronics
• Microgrid Systems
• Cyber-Physical Systems
• +۴ مورد دیگر

Subham Sahoo is an Associate Professor at Aalborg University's Faculty of Engineering and Science, Department of Applied Power Electronic Systems. His research focuses on power electronic control, reliability, and system optimization with particular emphasis on reliability of power electronic converters. He holds a PhD in Electrical Engineering from Indian Institute of Technology Delhi with dissertation on Coordinated Control of DC Microgrids. Dr. Sahoo's research interests span power electronics, microgrid systems, cyber-physical systems, reliability engineering, and AI applications for power systems. His work integrates advanced control strategies with cybersecurity considerations for modern power systems. He has developed innovative approaches for stability assessment, cyber-resilient control, and condition monitoring of power electronic systems. His recent publications demonstrate a strong focus on addressing critical challenges in modern power systems including cyber threats to microgrids, stability of grid-forming inverters, and data-light methods for system assessment. The research shows a clear trajectory toward more reliable, flexible, and secure power electronic systems with increasing integration of AI techniques. Scientific Awards: Innovative Students Projects Award 2019 - Doctoral Level Dr. Sahoo serves as Principal Investigator and Co-Investigator on multiple significant research projects including PRISM (Probabilistic bio-plausible machine learning) funded by The Lundbeck Foundation and SAFEr Grid (Store-And-Forward Energy Grid) funded by HORIZON-ERC-SYG. He has supervised PhD students and collaborated with institutions including Massachusetts Institute of Technology where he was a guest researcher from October 2023 to March 2024. His external engagement includes serving as Chair of the IEEE Joint IES/IAS/PELS Chapter since January 2025. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable infrastructure.

Alireza Abbasiمشاهده پروفایل

پژوهشگر

• Network Science
• Informatics
• Decision Support Systems
• +۵ مورد دیگر

Dr. Alireza Abbasi is a Researcher at UNSW Canberra's School of Systems & Computing , focusing on intelligent data-driven decision support systems to address uncertainties in socio-technical systems through machine learning and AI technologies. His work spans domains like public health, transportation, energy, construction, and manufacturing. Education: PhD (University of Sydney, 2012), MSc (Seoul National University, 2008), BSc (Isfahan University of Technology, 2002) His research emphasizes applying advanced AI methods to enhance system resilience and sustainability, particularly through social network analysis, decision support systems, and risk analytics. He has contributed to 98 journal articles and 44 conference papers. Scientific awards include Stanford/Elsevier Top 2% Scientists recognition (2020-present) . Professional memberships span ACM, AIPM, PMI, ANZAM, and IEEE.

Valeriia Haberlandمشاهده پروفایل

مدرس

• Cancer Genetics
• AI in Healthcare
• Epidemiology
• +۳ مورد دیگر

Dr Valeriia Haberland is a Lecturer in Computer Science at Brunel University London within the College of Engineering, Design and Physical Sciences, appointed in 2023. Her expertise bridges computing and biological sciences with a focus on translational health applications. She holds a PhD in Computer Science from King's College London (2015) and was awarded Fellow of the Higher Education Academy (FHEA) in October 2023. Educational background includes advanced training in computational methods and data science. Her research centers on cancer genetics and AI-driven healthcare solutions , specializing in modeling cancer aggressiveness through machine learning analysis of molecular profiles. She pioneers epidemiological causal inference techniques to identify genetically translatable disease factors and develops specialized web infrastructure for biomedical research. Current projects target breast cancer wound monitoring and laminopathy mechanisms. Publication analysis reveals a distinct evolution from early grid computing research (2012-2017) to contemporary health data science leadership. Recent work dominates cancer genomics, proteomics, and osteoarthritis therapeutics using UK Biobank data, with flagship contributions to EpiGraphDB and MR-Base platforms. Her methodology integrates Mendelian randomization, graph databases, and high-throughput sequencing analytics. Dr Haberland secures active research funding including a Brunel Partners-funded project on remote breast cancer wound monitoring (May-July 2024). She supervises MSc dissertations while teaching Modern Data, Logic and Computation, and final-year projects. Her academic service includes placement tutoring and curriculum development in data-intensive healthcare applications.

Julian Schmidtمشاهده پروفایل

پژوهشگر

• Market Microstructure
• Electronic Securities Trading
• High-Frequency Trading
• +۲ مورد دیگر

Julian Schmidt is a Researcher at the Chair of e-Finance within the Faculty of Economics and Business at Goethe University Frankfurt . He holds a Master's degree in Business Administration (2021) and a Bachelor's degree in Economics (2020) from the same university. Research Interests: His work focuses on market microstructure , electronic securities trading , high-frequency trading , market infrastructure , and financial market regulation . His research explores the interplay between algorithmic trading systems, regulatory frameworks, and market quality indicators. Recent Publications: His studies on lead-lag relationships in market microstructure and digital asset market violations have been presented at workshops including the London/Oxford/Warwick Financial Mathematics Workshop 2023, Oxford Man Institute Seminar 2023, and SWFA 2024. These works bridge computational finance, regulatory analysis, and empirical trading behavior. Professional Background: Prior to his academic role, he gained industry experience through internships at ING Bank, Investors Marketing, and Ogilvy & Mather, complementing his vocational training at SMC Germany.

Steven T. Landisمشاهده پروفایل

عضو هیئت علمی

• International Relations
• Research Methods
• Environmental Security
• +۵ مورد دیگر

Steven T. Landis is an Assistant Teaching Professor of Political Science at the University of Notre Dame, based in Jenkins and Nanovic Halls. He specializes in International Relations and Research Methods, with interdisciplinary research intersecting environmental security, economic development, and political violence. His active projects investigate climate adaptation, civil war tactics, and spatiotemporal measurement methodologies. Education includes: Ph.D. in International Relations from Pennsylvania State University M.A. in Political Science from Pennsylvania State University B.A. in Political Science from Eastern Michigan University Research explores how environmental and economic stressors influence political instability, employing advanced computational methods. Publications in top journals like Foreign Policy Analysis and Political Geography demonstrate expertise in climate-conflict linkages, trade networks, and automated text analysis. His work consistently integrates empirical rigor with policy-relevant insights. At Notre Dame, Landis mentors undergraduates on academic planning and career development. Previously, he held positions at University of Nevada Las Vegas, Arizona State University (Postdoctoral Scholar/Research Fellow), and the National Center for Atmospheric Research (Visiting Scientist), building extensive cross-institutional research networks.

Dominique Cardonمشاهده پروفایل

استاد

• Digital Sociology
• Algorithmic Governance
• Big Data and Society
• +۷ مورد دیگر

Dominique Cardon is a Professor of Sociology at Sciences Po's médialab , where he leads research at the intersection of digital technologies, social theory, and algorithmic governance. Previously, he held positions at Orange Labs (Laboratory of Uses/SENSE) and University of Paris Est/LATTS. His work spans three decades of analyzing digital sociability, from early media uses to contemporary algorithmic systems. Research Themes : Digital public space, algorithmic culture, sociability in big data, AI ethics, platform accountability Methodological Approach : Combines digital methods with critical social science perspectives Cardon's recent publications focus on AI controversies, digital mapping of media ecosystems, and algorithmic impacts on social categories. He serves on the editorial board of Réseaux and CNIL's prospective committee, with habilitation to direct research (2017). His scholarship bridges technical analysis of algorithms with sociological inquiry about their societal implications. Current projects include Algoglitch (public sensitivity to algorithmic computation), Shaping AI (historical AI development), and Gouverner la parole en ligne (online speech governance). He co-organizes the TransNum seminar series and contributes to interdisciplinary debates about digital democracy, platform regulation, and computational fairness.

• Environmental Economics
• Input-Output Analysis
• Social Accounting Matrices (SAM)
• +۳ مورد دیگر

Alfredo Jose Mainar Causape is a researcher affiliated with the Department of Economics, Quantitative Methods, and Economic History at the University of Zaragoza. His work focuses on environmental economics, bioeconomy, and multisectoral modeling using Social Accounting Matrices (SAM) and Input-Output frameworks. Doctorate (2010): PhD in Economics from the University of Zaragoza, with a thesis on consumption patterns and CO2 emissions via Input-Output analysis. Research interests span bioeconomic modeling, climate policy, agricultural development in Africa, and SAM-based economic impact assessments. He has contributed to databases like BioSAMs and Kenya SAM 2014, analyzing policy reforms in fertilizer use, trade liberalization, and rural job creation. Article trends emphasize policy evaluation in developing countries (Kenya, Ethiopia, Senegal), environmental accounting of productive sectors, and multisectoral interactions within the EU bioeconomy. His methodological focus includes SAM disaggregation, CGE modeling, and mixed multiplier analyses. He has collaborated on projects like the JRC DEMETRA CGE model and the STAGE_DEV framework for developing countries. His work bridges economic theory with practical policy tools for sustainability and development.

Magdalena Zrakić Sušacمشاهده پروفایل

استادیار

• Macroeconomics
• Sectoral Analysis
• Rural Development Modeling
• +۲ مورد دیگر

Magdalena Zrakić Sušac is an Assistant Professor at the Department of Agricultural Economics and Rural Development, Faculty of Agriculture, University of Zagreb. Her work focuses on macroeconomic sectoral analysis, rural development modeling, and evaluation of agricultural policies. PhD in Agricultural Economics (University of Zagreb, 2016) MSc and BSc in Agricultural Economics (University of Zagreb) She collaborates internationally, with experiences at institutions like the University of Bonn, USAMV Bucharest, and Teagasc (Ireland). Her research integrates econometric models for policy impact assessment and market outlooks. Recent publications emphasize circular economy strategies, CAP reforms, and agri-food value chains. She leads university-funded projects on rural entrepreneurship, organic farming, and agricultural advisory systems. Professional affiliations include the Croatian Society of Agricultural Economists, European Association of Agricultural Economists, and editorial board roles. Contact: mzrakic@agr.hr .

Osman Yaganمشاهده پروفایل

استاد پژوهشی

• Communication Systems
• Network Science
• Cyber-Physical Systems
• +۱۶ مورد دیگر

Osman Yagan is a Research Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with affiliate roles in the School of Computer Science and core membership in CyLab Security and Privacy Institute, IDeaS, and Block Center. His research spans modeling, analysis, and optimization of computing systems using tools from applied probability, network science, and machine learning. PhD in Electrical and Computer Engineering, University of Maryland (2011) BS in Electrical and Electronics Engineering, Middle East Technical University (2007) Research Interests: Dr. Yagan focuses on statistical inference , resilient distributed machine learning , robustness of cyber-physical systems , secure IoT networks , and contagion processes in complex networks, including misinformation spread and epidemic modeling. His work integrates multi-armed bandit algorithms , reinforcement learning , and stochastic geometry . Scientific Contributions: He has received multiple fellowships (CIT Dean’s Early Career, IBM Academic Award), best paper awards (ICC 2021, IPSN 2022, ASONAM 2023), and co-authored 15+ recent articles on topics like federated learning, contagion dynamics, and network robustness. His research is funded by ONR, NSF, ARO, AFOSR, and industry grants. Advising: Dr. Yagan has mentored 23 PhD and Master’s students, including junior faculty at Nanyang Technological University and researchers at Meta, Intel, Bloomberg, and MIT. He has taught courses such as Advanced Probability & Statistics for Engineers and Applied Stochastic Processes. Collaborations: He works with institutions including Princeton, MIT, and industry partners like IBM and Intel, and is a Senior Member of IEEE.

George Stergiopoulosمشاهده پروفایل

استادیار

• Cybersecurity
• Cyber-Physical Systems Security
• Critical Infrastructure Protection

George Stergiopoulos serves as an Assistant Professor of Information Systems Security within the Department of Informatics at the School of Information Sciences and Technology, Athens University of Economics and Business. His academic qualifications include: B.A. in Informatics from the University of Piraeus M.A. in Information Systems from Athens University of Economics and Business Ph.D. in "Protection of Critical Infrastructures at Software and Interdependence Levels against Cyberattacks" from Athens University of Economics and Business His research centers on cybersecurity with specialized expertise in cyber-physical systems security and critical infrastructure protection. He has authored over 50 peer-reviewed publications addressing vulnerabilities in critical infrastructure systems through software-level and interdependence-focused cyberattack mitigation strategies. His work bridges theoretical security frameworks with practical implementations for national infrastructure resilience. No scientific awards are documented in the provided source material. While the text confirms his publication output exceeds 50 articles, specific advising relationships, grant funding, laboratory affiliations, or research teams remain unmentioned in the available information.

• Operations Research
• Industrial Engineering
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. İbrahim Akgün is a faculty member at Başkent University's College of Industrial Engineering. His research focuses on applying advanced mathematical and computational methods to solve complex problems in public transportation, disaster response, and defense systems. Key areas of interest include imbalanced classification techniques, hub location optimization, evacuation modeling, and risk analysis frameworks. His work spans operations research, integer programming, and network theory, with applications in both civilian and military domains. He has also contributed to technical risk assessment methodologies in system development projects and facility location planning for disaster management scenarios. His recent activities emphasize hybrid machine learning approaches (e.g., bagging/boosting techniques) for classification challenges and sophisticated modeling of interdependent infrastructure systems. While specific teaching details aren't listed, his academic profile demonstrates deep expertise in mathematical modeling and optimization.

Mehmet Balcilarمشاهده پروفایل

دانشیار

• Applied Macroeconomics
• Financial Economics
• Applied Econometrics
• +۹ مورد دیگر

Mehmet Balcilar is an Associate Professor in the Economics & Business Analytics Department at the Pompea College of Business, University of New Haven. He holds a Ph.D. in Economics from Wayne State University and maintains active research collaborations including a research fellowship at the Economic Research Forum in Cairo. Education: Ph.D., Economics, Wayne State University, Detroit, Michigan, US MA, Economics, Cleveland State University, Cleveland, Ohio, US MA, Economics, Cukurova University, Adana, Turkey BA, Tourism Management, Dokuz Eylul University, Izmir, Turkey Dr. Balcilar is an applied macroeconomist whose research spans financial economics, applied econometrics, and disaster economics. His work focuses on forecasting, urban/real estate economics, energy economics, risk management, and monetary policy. He has conducted significant field research on Syrian refugees' experiences and disaster response systems, working with international organizations including the World Bank and WHO. His interdisciplinary approach bridges economic theory with real-world crisis management applications. Analysis of his recent publications reveals dominant research trends in cryptocurrency market dynamics, energy transition economics, and pandemic-related financial spillovers. His work consistently applies advanced econometric techniques including quantile regression, network analysis, and machine learning to examine cross-market connectedness, disaster risk modeling, and policy impacts across global contexts from the UK to Africa and MENA regions. Research Leadership: Published over 200 peer-reviewed journal articles Authored 32 conference proceedings and 5 book chapters Completed 33 major research projects and grants Former head of Economics Department (Eastern Mediterranean University, 2011-2023) Advisor to Turkey's Disaster and Emergency Management Authority (2012-2016) Dr. Balcilar's research program integrates theoretical economics with practical humanitarian applications, particularly in disaster risk modeling and refugee economics. His extensive project portfolio demonstrates strong collaboration with international institutions including the World Humanitarian Summit, WHO, and World Bank on crisis response systems and sustainable development initiatives.

Hanna Baumannمشاهده پروفایل

پژوهشگر ارشد

• Urban and Regional Planning
• Human Geography
• Migration Studies
• +۷ مورد دیگر

Dr Hanna Baumann is a Principal Research Fellow at the UCL Institute for Global Prosperity within The Bartlett Faculty of the Built Environment at University College London. Her research focuses on social inclusion in urban transitions, particularly examining how infrastructures shape urban exclusion and participation of refugees and migrants. She frequently employs participatory, creative and arts-based research methods in her work and serves as editor of the journal CITY. Her research interests center on three interrelated strands: the role of public services in shaping urban citizenship of migrants and refugees; participatory planning of sustainable food and waste systems with people living in food poverty; and translation of gender-inclusive urban design into policy practice. Her work intersects urban and regional planning, human geography, architecture, urban sociology, and migration studies with a strong emphasis on creative methodologies. Analysis of her recent publications reveals a consistent focus on infrastructure as both a site of exclusion and potential for community building, particularly in contexts of displacement and crisis. Her work spans multiple geographic contexts including Lebanon, Palestine/Israel, and London, with recurring themes of spatial justice, vulnerability, and creative resistance. She demonstrates a distinctive approach that bridges academic research with artistic practice and policy engagement. Among her notable honors are the Leverhulme Early Career Fellowship (2019-2022), ZK/U Residency (2024), and CBRL Residential Fellowship (2023). She has also served on advisory boards including the Women's Safety Audits for Mayor of London/TfL and as a judge for the Leigh Douglas Memorial Prize. Dr Baumann actively supervises PhD and Master's dissertations on topics related to urban contestation, displacement, infrastructure, and heritage. She leads the 'Urban Futures and Prosperity' module for postgraduate students and delivers lectures across multiple programs including MSc Global Prosperity, MSc Urban Studies, and MSc Health in Urban Development. Her professional activities include convening conferences on vulnerability, infrastructure, and displacement, as well as contributing to the Another Provision arts/research practice. She maintains strong connections between academic research and practical application, advising policy organizations and local government on participatory approaches to planning public spaces and services. Her work with UN agencies and non-governmental organizations in the Middle East and South Asia demonstrates her commitment to translating research into real-world impact.

• Power Sector Regulation
• Universal Energy Access
• Regional Electricity Markets
• +۳ مورد دیگر

Ignacio Pérez-Arriaga is a Professor at the Massachusetts Institute of Technology's (MIT) Sloan School of Management and a key figure in the MIT Energy Initiative (MITEI). As a Life Member of the Spanish Royal Academy of Engineering and director of the Florence School of Regulation's Energy Department, he leads global efforts to combat energy poverty through innovative electrification frameworks. Co-founder of Waya Energy spinoff Lead for Global Commission to End Energy Poverty research team Director of MIT-Comillas Universal Energy Access Lab His research focuses on: Power sector regulation Universal energy access Regional electricity markets Off-grid electrification Integrated distribution frameworks Recent publications analyze: Large-scale electrification planning (Uganda, Colombia, Rwanda) Network cost estimation for mini-grids Pay-as-you-go business models Reference Electrification Model (REM) applications Scientific recognition includes: Spanish Royal Academy of Engineering membership Collaboration with European Commission energy initiatives Technical advisory in Africa-Europe energy partnerships Teaching contributions span: MIT graduate courses on developing world energy systems Founding director of Florence School of Regulation's energy programs MOOC development on 'Regulation for Sustainable Development Goal 7' Research collaborations include: International Energy Agency Rockefeller Foundation European University Institute Various African and Latin American power pools