جست‌وجوی استاد و پژوهشگر

• Molecular Neuroscience
• Neuroglia Biology
• BDNF Gene Regulation
• +۴ مورد دیگر

Indrek Koppel is an Assistant Professor at Tallinn University of Technology's School of Science, Department of Chemistry and Biotechnology. His research focuses on molecular neuroscience and neuroglia biology, particularly BDNF gene regulation and astrocyte signaling. He holds a PhD from Tallinn University of Technology (2014) and a postdoc from the Weizmann Institute of Science (2020). Education: BSc Biology (Tartu University, 2005) MSc Gene Technology (Tallinn University of Technology, 2007) PhD Molecular Biology (Tallinn University of Technology, 2014) Postdoc, Weizmann Institute of Science (2015–2020) Research Interests: Investigates BDNF regulation in non-neuronal cells, astrocyte-neuron interactions, and translational control mechanisms. His work bridges molecular mechanisms with neurodegenerative disease models and therapeutic strategies. Recent Article Trends: Focus on BDNF regulatory elements, astrocyte biology, and translational neuroscience. Utilizes transgenic models and advanced omics approaches to study gene expression dynamics. Awards: 2017 Rising Tide Postdoctoral Fellowship 2016 Koshland Prize (Weizmann Institute) 2007 Artur Lind Prize (Estonian Genome Foundation) Advising & Grants: Supervised 6 master's students. Principal investigator for projects like 'Probing Neuron-Glia Interactions' (€384k) and 'Decentralised Digital Twin Era' (€551k). Labs/Teams: Leads research in neuroglial systems biology and collaborates with international teams on translational neuroscience projects.

Andrea Baronchelliمشاهده پروفایل

استاد

• Complexity Science
• Network Science
• Data Science
• +۵ مورد دیگر

Andrea Baronchelli is a Professor of Complexity Science at City, University of London, and a Research Associate at UCL's Centre for Blockchain Technologies. His work focuses on decentralised socio-technical systems , exploring how humans and AI agents coordinate through networks, leveraging technologies like blockchain, social media, and AI to analyze governance and decision-making. His research has influenced policy and public discourse, supported by grants from UKRI, PayPal, and InnovateUK. Education & Affiliations : Ph.D. in Statistical Mechanics (university unspecified). Key affiliations include The Alan Turing Institute (led Economic Data Science and Token Economy themes) and collaborations with institutions like MIT Media Lab and Science Advances. Research Interests : Complexity Science, Network Science, Blockchain, AI ethics, and socio-technical systems. Notable projects include analyzing climate change polarization on social media (Nature Climate Change, 2022), Bitcoin decentralization patterns (PNAS Nexus, 2022), and NFT market dynamics (Scientific Reports, 2021). Grants : Recent projects include a £640k UK Government grant for global health security research (2021–2023) and a £278k InnovateUK grant for smart bike-sharing data science (2019–2021). Over £2M in funding secured. Awards : 2019 Young Scientist Award (German Physical Society) for socio/econophysics contributions. Labs & Teams : Leads interdisciplinary teams at Turing Institute and collaborates with industry partners on blockchain, AI, and dark web marketplace analysis.

• Decentralized Finance
• Automated Market Makers
• Machine Learning in Finance
• +۴ مورد دیگر

Fayçal Drissi is a Postdoctoral Research Fellow at the Oxford-Man Institute, University of Oxford, within the Department of Engineering Science. His research bridges Mathematics and Machine Learning to address financial decision problems in both traditional and decentralized finance contexts, with strong industry experience in hedge fund research and development. Dr. Drissi's educational background includes: Ph.D. in Mathematics from Université Paris 1 Panthéon Sorbonne (2023) MSc in Quantitative Finance from Université Paris Dauphine - PSL (2014) His research centers on the economics and microstructure of decentralized financial markets, automated market makers (AMMs), and the integration of machine learning techniques like transfer learning and deep PDE solving for optimal execution and market making. He investigates how blockchain technology and asset digitization reshape financial systems, focusing on practical applications in trading strategies and market efficiency. Analysis of his 12 publications (2022-2025) reveals a dominant focus on decentralized finance and AMMs, with recurring themes in market microstructure, liquidity provision, and algorithmic trading. His work consistently combines stochastic control theory, machine learning (particularly reinforcement learning), and financial mathematics to develop novel frameworks for execution strategies, statistical arbitrage, and liquidity management across traditional and decentralized markets. Dr. Drissi has received significant recognition including: Research Grant from Uniswap (2025) for "Fixed for Floating Fee Swap in Decentralized Finance" PhD research grant from G-Research (2023) for "Unsupervised Learning for Algorithmic Trading" Best PhD Thesis prize from EWGCFM (2023) for "Decentralized Finance, Execution and Speculation" Research Grant from Chaire Fintech University Paris Dauphine ‑ PSL (2022) for "Decentralised finance and automated market making: Predictable loss and optimal liquidity provision" As an active academic contributor, he serves as Topic Editor for The Journal of FinTech and organizes major international events including the OMI Finance Seminar series (2023-2026), the Oxford-Harvard Conference on Decentralised Finance, and multiple workshops at SIAM and INFORMS conferences. His research is supported by substantial grants from leading finance and blockchain institutions. Dr. Drissi conducts his research within the Control Group and Machine Learning research groups at Oxford's Department of Engineering Science, operating from the Oxford-Man Institute—a premier interdisciplinary research center for quantitative finance that bridges engineering, mathematics, and financial applications.

• Dataset Retrieval
• Linked Data
• Decentralised Technologies
• +۴ مورد دیگر

Dr. Luis-Daniel Ibáñez is a Lecturer in Computer Science at the University of Southampton, where he leads research in dataset retrieval, linked data, and decentralized technologies. He is affiliated with the Web and Internet Science team and the Centre for Machine Intelligence. Prior to his academic role, he worked as a Research Fellow (2015–2020) and holds a PhD from the University of Nantes, France, focusing on distributed data management. His teaching includes courses on Data Science, Data Visualization, and Data Analysis. Education: PhD in Computer Science, University of Nantes, France (Distributed Data Management Team) Computer Engineering Diploma, Universidad Simón Bolívar, Venezuela Research Interests: Focuses on scalable data systems, including decentralized knowledge graphs, data marketplaces, and provenance management. His work integrates AI techniques like LLMs for automated provenance inference and explores privacy-preserving mechanisms in data sharing. Current projects include UPCAST (Universal Platform Components for Safe Data Exchange). Advising & Grants: Supervises 5 PhD students and contributes to projects funded by research councils. His team collaborates on modular data marketplace architectures and game-theoretic approaches to data monetization. Labs/Teams: Active in the Web and Internet Science group and the Centre for Machine Intelligence at the University of Southampton.

Jason Pottsمشاهده پروفایل

استاد

• Evolutionary Economics
• Institutional Economics
• Crypto-Economics
• +۶ مورد دیگر

Jason Potts is a Distinguished Professor of Economics at RMIT University and Director of the Blockchain Innovation Hub. He leads interdisciplinary research on technological change, institutional economics, and crypto-economics. His work bridges evolutionary economics, cultural science, and blockchain technologies. Potts is a Fellow of the Academy of Social Sciences Australia and a Chief Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society. Key Affiliations: Blockchain Innovation Hub, RMIT; ARC Centre of Excellence (ADM+S) Industry Experience: Collaboration with global industries, governments, and the Decentralised Cooperation Foundation Research Interests: Long-run economic transformation, institutional cryptoeconomics, AI regulation, innovation commons, and blockchain governance. His theories include 'social network markets' and 'institutional acceleration.' Awards: RMIT ‘Media Star’ Award (2018), Joseph A. Schumpeter Prize (2000), and multiple teaching awards. Advising & Grants: Supervises PhD projects on blockchain governance, AI ethics, and digital economy policies. Leads research on crypto-economics, digital infrastructure, and innovation policy. Labs/Teams: Blockchain Innovation Hub (https://rmitblockchain.io/projects) and the ADM+S Centre.

Terrence J. Summersمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Electronics
• Renewable Energy Systems
• +۵ مورد دیگر

Associate Professor Terrence J. Summers is an academic in the School of Electrical Engineering and Computing at the University of Newcastle , Australia. He transitioned to academia after a 12-year career in the Royal Australian Air Force, earning a Bachelor of Engineering (Electrical Engineering) with First-Class Honors and University Medal , followed by a Ph.D. in Electrical Engineering (2006) from the University of Newcastle. Research Interests: Dr. Summers specializes in power electronics applied to electric machines , power systems , and renewable energy systems . His work includes multilevel converter control , photovoltaic system integration , and power quality improvement . He has collaborated with Defence , CSIRO , and mining companies , with over 100 publications. Publications & Collaboration Trends: His research spans multilevel converters , microgrids , fault mitigation , and renewable energy . Notable contributions include decentralized control for multi-phase machines and harmonic reduction in power electronics . Grants & Projects: He has secured $2,127,407 in grants, including projects for Defence Science and Technology Group (2019) and CSIRO (2017). His work addresses motor duty meter development , power transmission line impedance , and renewable integration . Teaching & Supervision: Dr. Summers teaches from introductory digital electronics to advanced power electronics , supervising numerous Ph.D. and M.Phil. students on topics like fault-tolerant control , microgrid stability , and converter optimization . Laboratories: He contributes to the Priority Research Centre for Complex Dynamic Systems and Control , focusing on power electronics and renewable energy systems .

Michaela Haugمشاهده پروفایل

استاد

• Environmental Anthropology
• Political Ecology
• Socio-Economy
• +۵ مورد دیگر

Prof. Dr. Michaela Haug is a Professor and Director of the Freiburg Institute for Social and Cultural Anthropology at Albert-Ludwigs-Universität Freiburg. Her academic career includes Habilitation (2021) at Universität zu Köln and a 'summa cum laude' PhD from Freiburg (2009). She specializes in Southeast Asia's socio-ecological transformations, focusing on environmental anthropology, political ecology, and future-making frameworks. Education: PhD (2009): 'Poverty and Decentralisation in East Kalimantan' (Freiburg) Habilitation (2021): 'Living on a Resource Frontier: Power, Gender and Future Making in Indonesian Borneo' (Cologne) M.A. (2003): 'Resource Perception and Land Rights of Dayak Benuaq' (Cologne) Studies in Ethnology, Art History, Malay Studies, and Philosophy (Karlsruhe, Cologne, Yogyakarta) Research: Her work examines environmental change, resource frontiers, and socio-economic dynamics in Indonesia's East Kalimantan. Current projects include 'Future-Making, Environmental Change and Socio-economic Transformations' (DFG-funded, 2019–2025) and interdisciplinary plant biology studies (BiPoN forum, Cologne). Publications: Over 20 authored/co-edited books and numerous articles in American Ethnologist , Current Anthropology , and Routledge series. Recent focus on biodiversity-food security linkages and youth futures in Borneo. Awards: Faculty Prize for MA thesis (2003), 'summa cum laude' PhD (2009). Grants/Teams: Leads DFG projects; collaborates with CIFOR and international networks. Supervises researchers like Dr. Deasy Simandjuntak and David Meschede. Labs/Initiatives: Freiburg Environmental Humanities; 'Sharing a Planet in Peril' research initiative.

Marjia Haqueمشاهده پروفایل

پژوهشگر

• Transportation
• Logistics
• Supply Chains
• +۳ مورد دیگر

Dr Marjia Haque is a researcher affiliated with the School of Engineering and IT at the University of New South Wales (UNSW) in Canberra. Her research focuses on critical areas including transportation, logistics, supply chain management, optimisation techniques, and systems engineering. Her academic credentials include a PhD in Computer Science from UNSW, an M.Sc. in Industrial & Production Engineering from Bangladesh University of Engineering and Technology (BUET), and a B.Sc. in the same field from BUET. She has contributed to the academic community through publications in book chapters, journal articles, and conference papers, though specific titles are not detailed in the provided data. Dr Haque teaches advanced courses such as Option Analysis (ZEIT8403) and Evidence-Based Decision Making (ZEIT8402) . Her work bridges theoretical research with practical applications, particularly in managing decentralised supply chain systems and reducing bullwhip effects through fuzzy genetic algorithms.

• Organisational Change and Development
• International Human Resource Management
• Human Resource Development
• +۳ مورد دیگر

Christopher Rees is a Reader in Human Resources and Organisational Change at the Global Development Institute (GDI), University of Manchester. He holds dual professional qualifications: Chartered Psychologist (BPS) and Fellow of the Chartered Institute of Personnel and Development (CIPD). His academic roles include subject leadership for the Management and Governance (MGD) teaching cluster, overseeing MSc programmes in Organisational Change, HRM, and Development Projects. He is an active PhD supervisor with over 30 successful completions across diverse regions like Chile, China, UAE, and Thailand, focusing on HRM, organisational change, and public sector reform. Rees’ research interests center on international HR management, organisational development, and policy-driven change in transitional economies. His work spans sustainability, SME resilience, and cultural impacts on entrepreneurship in Africa. He has externally examined over 30 institutions globally, including the University of Birmingham and University of Malta. He serves as an Adjunct Professor at Universiti Teknologi Malaysia and editorial board member for journals like European Journal of Training and Development . Notable contributions include studies on UAE Happiness Agenda implementation, Ghana’s entrepreneurial ecosystems, and Chilean public education reform. His awards reflect professional recognition: Chartered Psychologist (2005) and CIPD Fellowship (2012). He actively participates in UN Sustainable Development Goals related to quality education and decent work.

• Redistributed Manufacturing
• Healthcare Supply Chains
• Supply Chain Resilience
• +۱۲ مورد دیگر

Dr. Helen Sanderson is a Senior Research Fellow at the Faculty of Business and Law (University of the West of England). Her work bridges biochemical expertise with supply chain innovation through the Redistributed Manufacturing in Healthcare Network (RiHN) , focusing on transformative healthcare production models. BSc (Hons) Biochemistry, University of Sheffield PhD, University of Manchester Research themes include: Redistributed Manufacturing (RDM) for point-of-care medical products 3D printing applications in food and healthcare supply chains Supply chain resilience during geopolitical disruptions Regulatory frameworks for decentralised manufacturing Biochemical foundations for medical product development Publications reveal a dual focus on technical cell biology research (2006-2012) and applied supply chain studies (2022-present). Key trends demonstrate integration of biomanufacturing with business model innovation in healthcare. Professional expertise spans grant portfolio management, bid writing for multidisciplinary projects, and stakeholder coordination across industry-academic-clinical partnerships. Research outputs frequently examine temporary supply chains in crisis settings and commercialisation pathways for emerging healthcare technologies.

Nathan Franklinمشاهده پروفایل

مدرس

• Indonesian Politics
• Southeast Asian History
• Political Islam
• +۳ مورد دیگر

Dr Nathan Franklin is a Lecturer in Indonesian Studies at Charles Darwin University's Faculty of Arts and Society. His research focuses on Indonesian politics, history, and society with specialization in political Islam, Southeast Asian governance, and language/cultural studies. He holds a PhD from CDU examining Islamic organizations Nahdlatul Ulama and Muhammadiyah's educational systems in Java. Franklin has published extensively in Q1 journals including Politics and Governance , convenes the Understanding Indonesia conference series, and provides media commentary on Indonesian affairs. He teaches Indonesian language, politics, and history, integrating Northern Australian perspectives into academic development units. Recipient of the 2016 Vice-Chancellor’s Award for Teaching, he collaborates on projects like the Bangladesh Indigenous Knowledge study and has supervised six HDR students. His work explores themes like decentralisation challenges in Eastern Indonesia, historical plague management in Java (2023), and martial arts institutionalization in Darwin (2023).

Emi Minghui Guiمشاهده پروفایل

پژوهشگر ارشد

• Energy Transition
• Multi-System Transformation
• Energy System Decarbonisation
• +۸ مورد دیگر

Dr. Emi Minghui Gui is a Research Fellow at Monash University's Civil & Environmental Engineering Department. She leads initiatives in energy system decarbonisation, electricity sector transitions, and net zero energy planning across Southeast Asia and Australia, collaborating with policymakers, industry stakeholders, and international think tanks. Since 2022, she has served as a Council Member for the UN Council of Engineers for the Energy Transition (CEET), advising on renewable energy deployment, coal transition, and energy access. Gui holds a PhD in Energy Policy and Economics from the University of New South Wales (UNSW), an MBA from Melbourne Business School, and a Master of Engineering from Nanyang Technological University (NTU). Her expertise spans decentralized energy systems, socio-economic aspects of distributed infrastructure, community energy, and consumer-centric utility innovations. She facilitates knowledge collaboration and capacity-building to strengthen energy-climate linkages. Her research focuses on bridging gaps in climate mitigation through participatory foresight, coal transition strategies, and VRE integration frameworks. Key projects include Australia-ASEAN capacity-building workshops and foresighting studies for net zero energy systems. She actively contributes to policy dialogues, media commentary, and international conferences. Gui has received recognition as a Fellow at the Université de Montpellier (2024) and collaborates with global institutions like the Sustainable Development Solutions Network (SDSN). She supervises PhD students and engages in multilateral power trading studies.

• Artificial Intelligence
• Semantic AI
• Decentralised Systems
• +۴ مورد دیگر

Prof. Giovanna Di Marzo Serugendo serves as Professor at the Geneva School of Social Sciences, University of Geneva since 2010 and Director of the Computer Science Center since 2016. Her career includes prior roles as Lecturer in the UK (5 years) and researcher at CERN (2 years), following her 1999 Ph.D. in Software Engineering from EPFL. Educational background: Ph.D. in Software Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), 1999 Her research pioneers Semantic AI and engineering of decentralised software systems exhibiting self-organising and emergent behaviour . She bridges natural system studies with artificial collective system design, emphasizing reliability verification and trustworthiness in complex adaptive architectures across computing and social sciences domains. Key recognition: Nominated among Switzerland's 100 digital shapers (2018) She co-founded the IEEE International Conference on Self-Adaptive and Self-Organising Systems (SASO) and ACM Transactions on Autonomous Adaptive Systems (TAAS), serving as TAAS Editor-in-Chief (2005-2011). Current leadership includes the University of Geneva's Digital Innovation Hub (established 2019), fostering academic-industry collaboration for innovative service development.

Erika Duriakovaمشاهده پروفایل

پژوهشگر ارشد

• Distributed Systems
• Graph Processing
• Machine Learning
• +۲ مورد دیگر

Erika Duriakova serves as a Postdoctoral Research Fellow at the Insight Centre for Data Analytics, specializing within the Recommender Systems research group. Her current research centers on pioneering secure decentralised marketplaces for data sharing, integrating her expertise in distributed computing and machine learning to address critical privacy challenges in modern data ecosystems. Her academic credentials include: PhD in Computer Science, University College Dublin, 2018 Duriakova's research spans foundational work in parallel and distributed systems, with significant contributions to scalable graph processing architectures and machine learning applications. Her earlier investigations into distributed recommender systems established frameworks for efficient large-scale recommendation engines, while her current focus on secure data marketplaces explores cryptographic techniques and decentralised protocols to enable trustworthy data exchange without compromising user privacy. This trajectory demonstrates a consistent emphasis on solving scalability bottlenecks in data-intensive computing environments through innovative system design. Within the Recommender Systems research group, she collaborates on advancing algorithmic approaches that balance personalization with ethical data handling, contributing to the Centre's mission of developing human-centric data analytics solutions. No scientific awards, student mentorship records, or grant funding details are documented in the available materials.

Alessandro Di Giorgioمشاهده پروفایل

دانشیار

• Smart grids and micro-grids control
• Model Predictive Control for energy systems
• Integration of renewable generation and storage
• +۳ مورد دیگر

Alessandro Di Giorgio is Associate Professor of Automatic Control at the Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG) , Sapienza University of Rome, where he teaches courses on Automation, Network Control and Handling, and Modeling & Simulation. He coordinates the Smart Energy Research Group of the Consorzio per la Ricerca nell’Automatica e nelle Telecomunicazioni and acts as scientific referent of the university start-up Applied Research to Technologies . Education Ph.D. in Systems Engineering, Sapienza University of Rome, 2010 M.Sc. in Physics (110/110 cum laude), Sapienza University of Rome, 2005 Research interests revolve around advanced control architectures for future power systems, with particular emphasis on smart-grid planning and real-time operation , model-predictive control of micro-grids , large-scale integration of renewable generation and storage , stochastic optimisation of electric-vehicle charging infrastructures , and cyber-physical security against malicious attacks . His work combines systems theory with practical implementations validated within several European and national projects. Recent publications (2023-24) demonstrate a clear trend toward data-driven and stochastic model-predictive strategies that coordinate millions of grid-edge resources—electric vehicles, batteries, renewable plants—while guaranteeing economic efficiency, reliability and resilience of distribution networks. Projects & Technology Transfer Scientific responsible in 10 EU-funded research projects on smart grids and electromobility Principal Investigator of Italian academic and Industria 2015 programmes Co-founder & scientific reference, start-up Applied Research to Technologies (technology transfer on EV-charging optimisation) He is member of the Networked Systems Cybersecurity initiative and serves as reviewer and organiser for major IEEE conferences on power systems and control.