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Chao ChenView profile

Lecturer

• Nonlinear Systems
• Robust Control
• Phase Theory
• +1 more

Chao Chen is a Lecturer in the Department of Electrical and Electronic Engineering at The University of Manchester, affiliated with the Control Systems and Robotics Group. He holds a Ph.D. from The Hong Kong University of Science and Technology (2022), supervised by Prof. Li Qiu, and a B.E. from Zhejiang University of Technology (2016). His research focuses on Nonlinear Systems, Robust Control, Phase Theory, and Neuromorphic Control, addressing foundational questions in feedback stability and nonlinear system analysis. Education: Doctor of Philosophy, Phase of Nonlinear Systems, Hong Kong University of Science & Technology (2016–2022) B.E. in Automation, Zhejiang University of Technology (2016) Research interests emphasize advancing phase theory for nonlinear systems, extending classical feedback stability principles, and exploring neuromorphic control architectures. His work bridges mathematical rigor and engineering applications, with contributions to scaled relative graphs, cyclic phase theorems, and stochastic system stability. His articles collectively explore novel frameworks for analyzing stability in nonlinear, stochastic, and multi-input systems, leveraging frequency-domain methods and geometric interpretations. Notable trends include phase characterization in complex systems and robustness against uncertainties. Chen has advised no documented students but has been featured in IEEE Control Systems Magazine for his Ph.D. research. He collaborates with the Control Systems and Robotics Group at The University of Manchester and previously held postdoctoral roles at KU Leuven and HKUST.

Jasmin HalebićView profile

Professor

• Macroeconomics
• Institutional Economics
• Public Debt Analysis
• +3 more

R. Prof. Ph.D. sc. Jasmin Halebić is a full-time Professor at the University of Zenica's Faculty of Economics in Zenica, Bosnia and Herzegovina. He holds a PhD in Economic Sciences from the same institution, alongside a Master's from the University of Tehran and a Bachelor's from the National University of Iran. His academic roles include teaching core economics subjects like 'Economics of Enterprise,' 'Macroeconomics,' and 'Microeconomics.' Research interests focus on macroeconomic policy analysis, institutional economics, public debt management, socio-economic impacts of gambling, and regional development challenges in post-conflict economies. Notable contributions include studies on GDP gap estimation, Okun's Law applications, and the role of migration networks in reducing foreign investment asymmetries. His work frequently addresses Bosnia and Herzegovina's unique economic context, exploring topics like labor productivity comparisons with Serbia, subnational public debt structures, and the socio-economic implications of EU integration. Methodologically, he employs difference-in-differences approaches and econometric modeling in policy evaluations. Publications span 20+ years with prominent works in 2020s analyzing post-pandemic economic stimuli and 2010s focusing on institutional frameworks' impact on economic growth. His research bridges theoretical economic models with practical policy applications, emphasizing regional and institutional-specific analysis.

• Network Coding
• Information Theory
• Wireless Networks
• +3 more

Muriel Medard is the NEC Professor of Software Science and Engineering in the Electrical Engineering and Computer Science (EECS) Department at MIT. She leads the Network Coding and Reliable Communications Group in the Research Laboratory for Electronics. Affiliated with MIT since her undergraduate studies (B.S. EECS 1989, Mathematics 1989, Humanities 1991), she also holds an M.S. (1991) and Sc.D. (1995) from MIT. She is a member of the U.S. National Academy of Engineering (2020), German National Academy of Sciences Leopoldina (2022), Fellow of the National Academy of Inventors (2018), and multiple other prestigious societies. Her research focuses on network coding, information theory, wireless networks, and optical networking. Notable contributions include foundational work in network coding protocols, error correction, and secure communication systems. Medard has pioneered algorithms like GRAND (Guessing Random Additive Noise Decoding) and ORBGRAND, which optimize decoding efficiency and energy consumption in communication systems. Medard’s honors include the IEEE Kobayashi Computers and Communications Award (2022), IEEE Armstrong Achievement Award (2017), and MIT’s Egerton Award (2004). She has over 60 patents, co-founded CodeOn and Steinwurf (as Chief Scientist), and supervised over 40 master’s, 20 doctoral students, and 25 postdocs. She chairs the IEEE Transactions on Information Theory and has held leadership roles in the IEEE Information Theory Society. Her service contributions include founding the Women in Information Theory Society (WithITS), mentoring initiatives, and roles on MIT’s Faculty Committees on Student Life and Campus Planning. Medard’s work bridges theoretical advancements with practical applications in 5G/6G systems, cybersecurity, and energy-efficient hardware.

Ali SenView profile

Research Fellow

• Productivity
• Structural Change
• Production Networks
• +1 more

Dr. Ali Sen is a Research Fellow at the Janeway Institute (University of Cambridge) and The Productivity Institute (Manchester, UK). His work bridges economics and molecular biology, focusing on productivity, structural change, and production networks in economics, while also contributing to understanding non-coding RNAs, protein toxicity, and neurodegenerative diseases in biology. Current affiliations: University of Cambridge (Faculty of Economics), The Productivity Institute (Manchester) Specialties: Digitalization, Intangible Capital, Sectoral Heterogeneity His research explores the intersection of economic policy and biological mechanisms, with recent publications on productivity growth slowdowns and production networks (2024) alongside studies on autophagy in neurofibromatosis (2025) and non-coding RNA roles in cancer (2019-2022). Key article trends reveal interdisciplinary work in: Economics: Digitalization, Structural Change, Intangible Capital Molecular Biology: Non-Coding RNA, Protein Misfolding, Neurodegeneration Genetics: Genetic Interactions, Mutations in Disease, Drosophila Models

Siri Marte SchlanbuschView profile

Research Fellow

• Control Systems
• Robotics and Automation
• Adaptive Control
• +5 more

Siri Marte Schlanbusch serves as a Postdoctoral Fellow in the Department of Engineering Sciences at the University of Agder, Norway. Her research is affiliated with the Robotics and Automation research group, where she focuses on advanced control systems with particular emphasis on quantization and time-delay challenges in dynamic systems. Dr. Schlanbusch's research interests center on adaptive control theory and its applications to complex mechanical systems. Her work spans multiple domains including aerospace engineering (particularly helicopter systems), industrial automation (cranes and robotic manipulators), and nonlinear control theory. She has developed innovative approaches for handling input/output quantization, time delays, and system uncertainties through adaptive and robust control frameworks. Her research combines theoretical development with practical implementation, as evidenced by her experimental validation work on physical systems. Analysis of her publication history reveals a consistent research trajectory focused on quantized control systems with time delays. Her work demonstrates progression from theoretical foundations to practical implementations, with increasing complexity in the systems addressed. The research shows strong interdisciplinary connections between control theory, robotics, and aerospace engineering, with applications spanning helicopter flight control, crane operations, and robotic manipulation. Her recent publications indicate continued innovation in sliding mode control, predictor-based methods, and two-loop control architectures for complex mechanical systems. Dr. Schlanbusch actively collaborates with researchers including Jing Zhou (frequent co-author), Rune Schlanbusch, and others in the control systems community. Her position as a Postdoctoral Fellow suggests she is in a transitional career phase, building on her doctoral work (which focused on "Adaptive control of systems with quantization and delay") to establish her independent research profile.

Sebastian GreissView profile

Research Fellow

• Genetic Code Expansion
• Neurobiology
• Unnatural Amino Acids
• +4 more

Dr. Sebastian Greiss serves as a Chancellor's Fellow at the Centre for Integrative Physiology within the College of Medicine and Veterinary Medicine at the University of Edinburgh. His research focuses on developing and applying unnatural amino acid technology to study neuronal circuits in C. elegans , addressing fundamental questions about nervous system function. PhD, University of Dundee (2003-2008) Diploma in Biochemistry, University of Bayreuth (2002) Greiss pioneers genetic code expansion in multicellular organisms, creating light-activatable proteins through photo-caged amino acids to precisely control neuronal activity in freely moving C. elegans . His work bridges molecular engineering and systems neuroscience , using the worm's compact 302-neuron nervous system to decode how sensory inputs transform into behavioral outputs. Key innovations include tissue-specific proteomics and optogenetic control at single-protein resolution. His publication record shows consistent advancement in genetic code expansion from 2008-2014, transitioning from foundational work on sirtuins and apoptosis to breakthroughs in C. elegans and Drosophila genetic engineering. The research demonstrates increasing technical sophistication, moving from in vitro studies to in vivo applications in complex organisms with featured publications in Nature Biotechnology and Nature Chemical Biology . Greiss leads an active research group funded by the European Research Council, mentoring PhD students and postdoctoral fellows. His collaborative network spans the MRC Laboratory of Molecular Biology in Cambridge, Technical University Munich, and multiple Edinburgh research centers. Current work focuses on applying unnatural amino acid technology to dissect neuronal circuit function with unprecedented precision. Zhiyan Xi (PhD Student) Lloyd Davis (Postdoctoral Fellow) Andromachi Xypnitou (Research Associate)

• Cyber Physical Systems
• Generative Models
• Adaptive Testing
• +5 more

Jarkko Peltomäki is a researcher in the Faculty of Science and Engineering, Department of Information Technology, specializing in cyber-physical systems verification and testing. His work focuses on developing advanced falsification techniques using generative models and adaptive testing strategies. His primary research interests include: Cyber Physical Systems (100% fingerprint weight) Generative Models and GANs (33%) Adaptive Testing methodologies (33%) Falsification algorithms (33%) Tool Competitions like ARCH-COMP (33%) Requirements Engineering for complex systems (33%) Unmanned Aerial Vehicle validation (33%) Multi-arm Bandit optimization (33%) Analysis of his 2022-2025 publications reveals increasing integration of generative adversarial networks (GANs) into cyber-physical system testing, with significant contributions to the ARCH-COMP benchmarking framework. His work demonstrates a clear evolution from traditional falsification methods toward adaptive, model-driven approaches that leverage machine learning for test generation and coverage optimization, particularly in UAV and hybrid system contexts. Scientific awards: None documented in provided sources. Grant activity includes participation as Co-Investigator in the European Commission-funded ADOaRT project (2021-2024), focusing on adaptive testing for cyber-physical systems. No student advising information is available. His research outputs include multiple datasets (OGAN/WOGAN Experimental Results) supporting reproducibility in falsification studies. He actively contributes to the ARCH-COMP international research network, coordinating falsification category evaluations and developing standardized validation methodologies for hybrid system verification tools.

D.M. YazanView profile

Associate Professor

• Sustainable Supply Chain Management
• Circular Economy
• Industrial Symbiosis Networks
• +10 more

Associate Professor D.M. Yazan holds a position at the Industrial Engineering & Business Information Systems (IEBIS) Department, University of Twente. He specializes in sustainable supply chain management and circular economy, focusing on industrial symbiosis networks, bio-based economies, and renewable energy systems. His research integrates IT-based decision support tools, including recommender algorithms and agent-based modeling to drive sustainable transitions. Affiliations : Resilience Theme Chair (BMS Faculty), Founder of Sustainable and Resilient Circular Economy Laboratory (SRC Lab), Founder of Circular Economy Platform Twente (CEP Twente). Education : PhD in Innovation Management and Product Development. Research : Aims to support circular economy and energy transitions through multi-disciplinary approaches. Key methodologies include game theory models and input-output analysis to aid companies, policymakers, and researchers in achieving smart, sustainable, and resilient industrial systems. Current work emphasizes urban, rural, and industrial symbiosis as pillars of circularity. Labs/Initiatives : Leads SRC Lab and CEP Twente to foster collaboration and innovation in circular economy practices.

Raymond de CallafonView profile

Professor

• System Identification
• Control Theory
• Adaptive Control
• +13 more

Raymond de Callafon is a Professor in the Department of Mechanical and Aerospace Engineering (MAE) at the University of California, San Diego (UCSD). He is a key faculty member in the Dynamic Systems & Control (DS&C) group, where he conducts research and teaches in system identification, adaptive control, and modeling of mechatronic systems. He directs the System Identification and Control Laboratory (SICL) and manages the CMRR Servo Laboratory, both at UCSD. His work bridges theoretical control with practical applications in data storage, aerospace, and vibration control systems. M.Sc., Mechanical Engineering, Delft University of Technology, 1992 Ph.D., Mechanical Engineering, Delft University of Technology, 1998 Raymond de Callafon's research centers on experiment-based modeling, control-relevant system identification, and recursive/adaptive control. His interests extend to nonlinear and linear parameter varying (LPV) systems, with applications in hard disk drives, tape storage systems, active noise and vibration control, and aeroelastic flutter prediction. He has developed modeling techniques applied to structural damage detection and controller tuning for high-precision systems. His recent publications reflect a strong trend in closed-loop system identification, Hammerstein models, adaptive disturbance rejection, and high-precision motion control in data storage devices. The articles span both theoretical advances and experimental validations, often involving dual-stage actuators and real-time control implementations. Co-authored book: Realtime Controller Tuning for Periodic Disturbance Rejection Developed MATLAB toolboxes: LTSfit, CLOSID, FREQID NASA-funded research on flutter control and aeroservoelastic systems Active collaboration with CMRR and industry partners in data storage Raymond de Callafon has advised multiple graduate students and contributed to significant research projects involving adaptive control, robotic systems, and coordinated ocean sensing networks. His teaching includes both graduate and undergraduate courses in system identification, control theory, and laboratory-based engineering education. He has also established the Undergraduate Control Laboratory (UGCL) and taught in the COSMOS summer program on kinetic sculptures. His laboratories, SICL and CMRR Servo Lab, are equipped with advanced facilities for sound and vibration control, real-time prototyping, and high-precision motion experiments, supporting both academic and industrial research in control engineering.

Marco Veronese PassarellaView profile

Lecturer

• Macroeconomics
• Monetary Economics
• Economic Modelling
• +6 more

Marco Veronese Passarella is a Lecturer in Economics at the Economics Division of Leeds University Business School, University of Leeds. He is also affiliated with the University of L’Aquila, where he holds the title of professor and teaches economic policy and international economics. He is a co-investigator and work-package coordinator in the JUST2CE project, leading the Leeds University Unit. Laurea in Economics, University of Bologna (2001) PhD in History of Economic Thought, University of Florence (2008) Marco's research centers on monetary economics , macroeconomic modeling (especially Stock-Flow Consistent models), theories of value and distribution , and the history of economic thought . He has contributed extensively to critiques of mainstream models like IS-LM and promotes Post-Keynesian and ecological macroeconomic frameworks. His recent work integrates macroeconomic models with environmental systems, reflecting a growing interest in sustainable transitions. His recent publications and presentations reveal a strong focus on monetary circuit theory , SFC modeling , and just transition policies . He actively develops and shares open-source R, Python, and EViews codes for replicating foundational models from Godley and Lavoie, contributing significantly to pedagogical and research tools in the field. Scientific contributions and recognitions include: Editorial staff, Economia e Politica online magazine (since 2015) Research fellow, FESSUD project (2012–2014) Research fellow, iBuild project (2012–2014) Active participation in major conferences such as IAERE, MADME, STOREP, and ESEE Marco supervises postgraduate researchers, including Riccardo D’Orsi. He has led research projects funded by European and UK bodies and continues to secure collaborative research opportunities. He teaches modules such as Theories of Growth, Value and Distribution , Macroeconomics 1 , and Understanding the Global Economy . He is also involved in public outreach through media appearances and public debates. He leads a research unit in the JUST2CE project and collaborates with institutions like the Angelo King Institute. His online presence includes a rich repository of models, teaching materials, and video tutorials on SFC modeling, supporting a global community of heterodox economists.

• Circular Economy
• Environmental Input-Output Analysis
• Sustainability Policy
• +3 more

Glenn Aguilar Hernandez is a Lecturer and Postdoc researcher at Leiden University's Department of Industrial Ecology within the Science Institute of Environmental Sciences (CML). He specializes in circular economy strategies and environmental input-output analysis, particularly focusing on the Global South. His work emphasizes quantifying material circularity gaps and evaluating interventions to reduce environmental impacts. Education: Bachelor's in Chemistry, University of Costa Rica Master's in Sustainability, University of Sydney, Australia Research Interests: Glenn's research bridges macro-level environmental assessments with policy design, focusing on: Circular economy frameworks for sustainable development Multi-regional input-output modeling Waste management strategies in transitioning economies Trade-offs between socioeconomic and environmental outcomes Publications Trends: His work consistently addresses circular economy challenges in regions like Europe, China, and Latin America, employing advanced methodologies such as material flow analysis (MFA) and life cycle assessment (LCA). Recent studies emphasize optimizing waste recovery and minimizing primary resource demand. Labs/Teams: Associated with Leiden University's CML, collaborating on projects like UNICA (Latin American circularity impacts) and SCRREEN2 (European critical raw materials).

Ellen M. ImmergutView profile

Professor

• Comparative Politics
• Health Policy
• Welfare State Futures
• +3 more

Ellen M. Immergut is a Professor of Comparative Politics at Humboldt University Berlin, holding the position since 2002. She specializes in health policy, welfare state dynamics, and political institutions. Her work bridges historical institutionalism and contemporary policy analysis, focusing on healthcare reform, electoral incentives, and institutional impacts on public opinion. Education: Ph.D. (1987), M.A. (1983), and B.A. (1979) in Sociology from Harvard University, with prior studies in Biochemistry and Molecular Biology. She previously held positions at MIT (1986–2002), including roles as Ford International Development Chair and Assistant Professor. Research emphasizes the sustainability of welfare states, particularly through projects like HEALTHDOX (The Paradox of Health State Futures) and Welfare State Futures. She coordinates interdisciplinary teams investigating healthcare reforms, public opinion, and institutional legacies across Europe. Grants include DFG-funded projects on electoral vulnerability and health policy feedback. Publications span handbooks on European pension and health politics, institutional analysis, and policy feedback mechanisms. Her work addresses how political institutions shape policy outcomes, with a focus on equity and democratic legitimacy.

Şahram MİNAYİView profile

Professor

• Analog Circuit Design
• Current-Mode Circuits
• Analog Signal Processing
• +5 more

Professor Şahram MİNAYİ serves as a full Professor in the Department of Electrical and Electronics Engineering at Doğuş University's Faculty of Engineering, where he also holds the position of Department Chair. Additionally, he manages the Research Support Office (ARDES) and has been with the university since 2001, progressing from Assistant Professor to Associate Professor and finally to Professor in 2009. His educational background includes a BSc from Iran University of Science and Technology (1993), followed by MSc (1997) and PhD (2001) degrees in Electronics and Communications Engineering from Istanbul Technical University. His doctoral thesis focused on "New possibilities in current-mode circuits using current controlled conveyor (CCC II)". Professor MİNAYİ's research centers on analog circuit design with particular emphasis on current-mode circuits, analog signal processing, instrumentation amplifiers, and memristor emulators. His work spans filter design, oscillator circuits, fractional-order systems, and neuromorphic computing applications. He has developed numerous innovative circuit topologies including floating memristor emulators, universal filters, and precision rectifiers that have significantly advanced analog circuit implementation techniques. His extensive publication record shows consistent focus on current-conveyor based circuits, with recent work (2023-2025) exploring memtranstor emulators, chaotic oscillators, fractional-order filters, and reconfigurable filter architectures. These publications demonstrate his ongoing leadership in analog circuit design, particularly in creating novel circuit topologies with reduced component counts and enhanced functionality. Senior Member, IEEE Editor-in-Chief of International Journal of Electronics and Communications (AEU) Editor of Journal of Circuits, Systems, and Computers (JCSC) Editor of International Journal of Circuit Theory and Applications (IJCTA) Editor of Elektronika ir Elektrotechnika As an academic advisor, Professor MİNAYİ has supervised PhD students including Merih Yildiz, whose thesis focused on adjustable CMOS classifier circuits. His research has garnered over 6,500 citations with an H-index of 43 on Google Scholar, reflecting significant impact in the analog circuits field. He has also authored two major books: "Current-Mode Instrumentation Amplifiers" (2019) and "Passive and Active Circuits by Example" (2024), both published by Springer. His laboratory work focuses on practical implementation of analog circuits, particularly exploring current-mode techniques for low-power applications, biomedical instrumentation, and neuromorphic computing. His team has developed numerous circuit topologies that reduce component count while maintaining performance, with particular attention to electronically tunable circuits suitable for integrated circuit implementation.

José PÉREZ AGÚNDEZView profile

Researcher

• Environmental Economics
• Natural Resource Economics
• Maritime Economics
• +7 more

José Pérez Agúndez is a Researcher at Ifremer (French Research Institute for Exploitation of the Sea) since 2001, currently serving as Head of the Maritime Economics Unit and Deputy Director of the AMURE Joint Research Unit (UMR 6308). His work focuses on sustainable aquaculture economics and socio-economic impacts of harmful algal blooms using bio-economic and macro-economic modeling approaches. Education: DEA in Maritime Economy and Policy, ENSAR (Rennes), 1995-1996 PhD in Agricultural and Resource Economics, ENSAR (Rennes), 1997-2000 His research spans environmental economics with specialization in maritime resource management. Key methodologies include techno-economic modeling of aquaculture systems, institutional dynamics analysis, and social dimension integration in marine governance. Current projects address EU legislative frameworks for socially acceptable aquaculture and adaptation strategies for shellfish farming sectors facing ecological crises. Publication trends (2011-2021) emphasize socio-economic vulnerability modeling, particularly regarding toxic algal blooms and oyster mortality events. His work consistently bridges economic theory with practical marine policy challenges across European coastal regions, with strong focus on France, Spain, and Italy. Research Projects: EOLENMER: Preserving ORMER populations in western France fisheries MedAID: Mediterranean Aquaculture Integrated Development MSP GREEN: Marine Spatial Planning for Green Growth S-3: Supporting Sustainable Shellfish initiatives EUROHAB: European network on harmful algal blooms As unit head, he leads interdisciplinary teams developing economic vulnerability frameworks and policy recommendations for sustainable marine resource management, with emphasis on stakeholder engagement and cross-border collaboration in Atlantic and Mediterranean regions.

Charlotte WibergView profile

Professor

• Human-Computer Interaction
• Game Design
• Usability
• +5 more

Charlotte Wiberg is Professor at the Department of Informatics, Umeå University, Sweden. She is active in the Digital Interaction and Design research group and conducts her research at MIT-huset, Campustorget 5, Umeå. Education: No explicit educational degrees are listed in the provided materials. Research Interests: Charlotte’s work lies at the intersection of Human-Computer Interaction and game design . She investigates how digital technologies can foster physical activity through Sports IT and digital wellness applications, explores mobile HCI in its third wave, and develops usability and user-experience frameworks for games and interactive media. Her interests also include cross-media interaction design , persuasive technologies , and entrepreneurial strategies for social-media innovation. Across nearly two decades of publications, Charlotte has consistently advanced methods for evaluating fun and entertainment , proposed game-usability heuristics (PLAY), and introduced Game Approachability Principles (GAP) to lower barriers for novice players. Her research output spans journals such as International Journal of Mobile Human Computer Interaction and conferences including CHI, Interact, and ECSCW, reflecting a strong interdisciplinary emphasis combining computer science, design, psychology, and health sciences. Scientific Awards & Recognition: No specific awards, fellowships, or medals are mentioned in the supplied text. Advising & Grants: No formal list of PhD or Master’s students is provided, and grant details are absent. Labs & Teams: Charlotte is affiliated with the Digital Interaction and Design research group within the Department of Informatics at Umeå University.