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Luca GRECOView profile

Associate Professor

• Control Systems
• Switched Systems
• Stability Analysis
• +7 more

Luca GRECO is an Associate Professor at CentraleSupélec, part of the Laboratoire des signaux et systèmes (L2S). His research focuses on control systems, stability analysis of switched and stochastic systems, and real-time embedded systems. He is affiliated with research teams such as COMEDY (Control of Dynamical Systems), MODESTY (Modelling and Estimation), and SYCOMORE. His work addresses challenges in robotics, energy systems, and industrial automation. Key research areas include observer design for switched systems, stability criteria under ω-regular switching sequences, and stabilization techniques for underactuated systems. His publications span journals like Automatica and conferences such as Hybrid Systems: Computation and Control (HSCC) and IFAC World Congress. Greco’s contributions include advancements in robust control for stochastic systems, optimal resource allocation in real-time scheduling, and applications in wind power and networked control systems. His interdisciplinary approach integrates mathematical analysis, control theory, and practical engineering solutions.

Sihem TEBBANIView profile

Professor

• Systems and Control
• Bioprocess Engineering
• Optimization
• +3 more

Sihem TEBBANI is a **Professor** at **CentraleSupélec**, affiliated with the **Laboratoire des signaux et systèmes (L2S)**. Her research focuses on systems and control, bioprocess engineering, optimization, robotics, and environmental engineering. She has supervised/co-supervised over 16 PhD theses, including work on predictive maintenance, UAV trajectory planning, and microalgae cultivation for CO₂ biofixation. **Education**: PhD in Automatic Control, SUPAERO (2001) Habilitation (HDR) in Automatic Control, Université Paris-Sud (2016) Master’s in Automatic Control, SUPAERO (1998) Engineering Degree in Automatic Control, SUPAERO (1998) **Research Interests**: Her work spans nonlinear control, bioprocess modeling, and optimization. She specializes in applications such as microalgae cultivation for biofuel production, autonomous systems, and predictive maintenance. Her research bridges theory and industry, addressing challenges in sustainability and automation. **Awards**: Recipient of the Knight of the Order of Academic Palms (2020) for contributions to education and research. **Grants & Labs**: Active in interdisciplinary projects at L2S, collaborating with institutions like IRT SystemX, INRIA, and industry partners (e.g., Parrot, Thales Alenia Space). Her lab focuses on systems control, modeling, and estimation.

Isidoro Gil LeivaView profile

Professor

• Library Science
• Information Science
• Automatic Indexing
• +4 more

Isidoro Gil Leiva is a Professor at the Department of Library and Documentation Science within the Faculty of Communication and Documentation at the University of Murcia. He holds a Doctorate from the same institution with a thesis on automated indexing in library science (1998). His research focuses on automated indexing systems, information retrieval, metadata modeling, and the impact of digital technologies on library practices. Key contributions include the development of the SISA automated indexing software and comparative studies of indexing methodologies. Education: PhD in Library Science from Universidad de Murcia (1998), with thesis titled 'La automatización de la indización propuesta teórico-metodológica'. Research Interests: Automated Indexing Systems (SISA, KEA, MAUI) Evaluation of Information Retrieval Systems Metadata Standards and Linked Data E-books Management in Academic Libraries Bibliometric Analysis of Scientific Output Recent Work Trends: His 2020-2024 publications emphasize: Impact of e-books on traditional cataloging practices Comparative analysis of author-assigned keywords vs automated systems Application of semantic web principles to audiovisual archives Optimization of satellite imagery metadata Advising & Grants: Supervised doctoral research under Dr. José Vicente Rodríguez Muñoz. Active in collaborative projects involving Latin American libraries and institutions. No specific grant details mentioned in provided texts. Labs/Teams: Involved in research groups like 'Libraries, Archives and Information Culture' and previously 'Information Technology' at Universidad de Murcia.

• Programming Languages
• Choreographic Programming
• Concurrency
• +3 more

Andrew K. Hirsch is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY , where he co-leads the Databases and Programming Languages group. His work focuses on programming-language foundations for decentralized systems, with particular emphasis on choreographic programming and information-flow security. Education: Ph.D. in Computer Science, Cornell University, 2019 B.S. in Computer Science and Pure Mathematics, The George Washington University Research Interests: Dr. Hirsch’s research lies at the intersection of programming languages , concurrency , and security . He develops new language abstractions—most notably choreographic programming —that let developers write a single, centralized description of how distributed components cooperate, after which the compiler automatically produces deadlock-free code for each participant. Complementarily, he studies information-flow control to ensure that sensitive data cannot leak through program behavior, even in higher-order and effectful settings. Recent Publications & Trends: Across 2022–2025, his work has consistently advanced both theoretical foundations and practical tool support for choreographic languages (e.g., Pirouette, Choret, λQC) while simultaneously deepening the theory of information-flow security with machine-verified proofs. The publications map to premier venues such as POPL, OOPSLA, ECOOP, and JFP, underscoring high impact in the PL and security communities. Current & Former Students: Current PhD advisees: Michael Piskozub, Keith Allen, Mason Lary, Alexander Bohosian, Gianna Bossoreale Current undergraduate researchers: Alex Doyoon Kim, Julia Montouri Recent alumni: Ethan Canton, Tiffany Cai, Vamsi Krishna Bellam, Vincent Chan, Frank (Feng-Mao) Tsai Active Projects & Funding: Open Choreographies via Session Types – NSF SHF:SMALL award (2025–) Pirouette Language & Compiler – functional choreographic language with Coq-verified guarantees Choret – Racket-based DSL for choreographic programming via macros Contact & Web Presence: Office: 213 Capen Hall, Buffalo NY 14260-1609 Phone: (716) 645-0247 Email: akhirsch@buffalo.edu Web: https://akhirsch.science | Google Scholar

• Electricity markets
• Uncertainty modeling
• Virtual power plants
• +5 more

Ana Baringo Morales is an Assistant Professor at the Institute for Research in Technology (IIT) of Comillas Pontifical University since July 2022. She holds a PhD in Electrical Engineering (cum laude, 2020) and an M.S. in Industrial Engineering from the University of Castilla-La Mancha. Her postdoctoral research included a 3-month fellowship at the Technical University of Denmark (DTU). Research Focus: Her work centers on electricity markets, uncertainty modeling, virtual power plants, optimization models, and automatic generation control. Key contributions include stochastic adaptive robust optimization frameworks for power system operation and planning. PhD Thesis: Operation and expansion strategies for virtual power plants participating in electricity markets Projects: Collaborations with Endesa, Red Eléctrica de España, and Repsol on secondary regulation markets and grid stability Recent Work: Her 2025 article in Energy proposes novel bidding strategies for renewable-only virtual power plants in secondary reserve markets. Earlier works address robust investment planning and holistic system design under uncertainty. Dissemination: Delivered seminars on Spanish secondary regulation pricing (2024) and frequency restoration reserve mechanisms (2023). Featured in media including Casting the Future (Feb 2024).

Timothy CydersView profile

Associate Professor

• Design
• Flexible/Compliant Mechanisms
• Materials
• +4 more

Timothy Cyders is an Associate Professor of Mechanical Engineering and Assistant Director of the Center for Advanced Materials and Processing at Ohio University's Russ College of Engineering and Technology. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from Ohio University (2012, 2008, 2006). Before joining Ohio University in 2012, he worked in engineering roles at Dana Corporation and General Electric, founded a consulting business in 2008, and specialized in design optimization and manufacturing. Research Interests: His work focuses on Design and materials processing, including additive manufacturing and corrosion analysis Flexible mechanisms and sustainable power generation Engineering education innovation, particularly student-centered approaches and mental health initiatives Collaborations with the Institute for Sustainable Energy and Environment and entrepreneurship programs Publications Trends: His articles span materials science (corrosion analysis of 316L stainless steel, forging post-processing), mechanical systems (CVTs, water pumps), and educational tools (Slack integration in classrooms). Recent work emphasizes student well-being and sustainable engineering solutions. Awards: Recipient of the White teaching award (2014) for educational excellence. Advising & Grants: Active in senior design projects and entrepreneurship collaborations but no listed grant details. No formal advisees listed. Labs/Teams: Involved with the Center for Advanced Materials Processing and cross-disciplinary energy initiatives.

• Information Technologies
• Mechanical Engineering
• Automation & Control Systems
• +3 more

Smiljana Tomašević is a Researcher at the Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac. Her scientific field focuses on Technical-Technological Sciences with specialization in Information Technologies. She holds a position elected on 21 June 2024. Contact details include office А-I-28А and phone +381 34 335 990. Her affiliation is with the Faculty of Engineering located at Sestre Janjić street, no. 6 in Kragujevac, Serbia. The department's research scope integrates applied mechanics, automation, and control systems within engineering contexts.

Anđela BlagojevićView profile

Researcher

• Electrical Engineering
• Automation
• Control Systems
• +1 more

Anđela Blagojević is a Junior Researcher at the Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac. Her research focuses on Electrical Engineering and related interdisciplinary fields such as automation and control systems. Professional affiliation: She holds a position within the Faculty’s academic staff, contributing to research and possibly teaching activities in her department. Contact details include office А-I-28A and phone +381 34 335 990. Research interests emphasize applied mechanics and automatic control, likely involving theoretical and practical studies in electrical systems design, robotics, or industrial automation technologies.

Dragan RakićView profile

Associate Professor

• Applied Mechanics
• Structural Analysis
• Finite Element Method
• +5 more

Dragan Rakić is an Associate Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac, Serbia. His research focuses on structural safety assessment, material modeling, and computational mechanics. He specializes in dam safety analysis, finite element method applications, and tribomechanical systems. His work integrates machine learning and artificial intelligence for predictive modeling in engineering systems. Key research areas include structural integrity assessment, geotechnical modeling of embankment dams, and failure analysis of civil infrastructure. He contributes to national guidelines for dam safety in Serbia and develops user interfaces for constitutive model parameter identification. His projects address resilience of water resource systems under hazardous events, combining system dynamics and neural networks. Academically, he is affiliated with the Department for Applied Mechanics and Automatic Control, collaborating on interdisciplinary projects involving mechanical, civil, and environmental engineering. His publications span dam stability analysis, material behavior modeling, and failure assessment methodologies.

• Control Systems
• Automatic Control
• Signal Processing
• +3 more

Станиша Перић serves as an Associate Professor in the Department of Automation at the Faculty of Electronic Engineering, University of Niš. His academic appointments and research activities are centered on advanced control systems and signal processing within Serbia's prominent technical institution. His educational foundation includes: BSc in Automation (2009, Faculty of Electronic Engineering, University of Niš) PhD in System Control (2016, Faculty of Electronic Engineering, University of Niš) Perić's research spans Control Systems , Signal Processing , and Automotive Control , with emphasis on sliding mode control, neural network integration, and orthogonal function applications. His work bridges theoretical control engineering with practical automotive implementations, particularly in anti-lock braking systems. Recent publications demonstrate a clear trajectory toward adaptive neural control architectures and real-time system optimization. With 21 impact-factor journal publications, his research output shows consistent focus on digital control algorithms and filter design. Current involvement in 6 active projects (2 national, 4 international) underscores his collaborative research profile. Dr. Perić actively supervises graduate students in control engineering while securing research funding through national and international grants. His laboratory work within the Department of Automation focuses on experimental validation of control algorithms using automotive test benches and real-time simulation environments.

• Language Education
• Bilingualism
• Translanguaging Pedagogy
• +6 more

Kenan Dikilitas is a Professor in the Department of University Pedagogy at the University of Stavanger. His research focuses on language education, bilingualism, translanguaging pedagogy, teacher professional development, and English as a Foreign Language (EFL). He has published extensively on topics such as teacher identity, multilingualism in education, and technology integration in teaching. His work often explores collaborative practices, reflective teaching, and policy implications for language education. Key research interests include translanguaging in EFL contexts, teacher autonomy development, and the use of digital tools like ChatGPT in higher education. His studies frequently examine bilingual education policies, student attitudes toward language proficiency thresholds, and the impact of action research on teacher practice. He has collaborated internationally on projects related to English Medium Instruction (EMI), preschool bilingual contexts, and cross-disciplinary language strategies. Recent publications analyze ChatGPT-driven reflective practices, translanguaging in teacher training, and the developmental trajectories of educators in collaborative research settings. His work bridges theoretical frameworks like complexity theory with practical classroom applications, emphasizing pedagogical innovation and policy-informed teaching strategies.

Alexey L. SadovskiView profile

Professor

• Mathematical Modeling
• Decision Science
• Risk Management
• +9 more

Dr. Alexey L. Sadovski is a Professor of Mathematics at Texas A&M University-Corpus Christi (TAMUCC) and holds the endowed Ruth Campbell Professorship in Coastal and Marine Sciences. He also serves as Director of the Office for Information Assurance, Statistics, and Quality Control. His affiliations include the Harte Research Institute, and he is part of the Ph.D. faculty in Coastal and Marine System Science. Sadovski has extensive experience in academia, having taught for over 32 years at institutions such as the Moscow Institute of Transport Engineers and the Texas A&M System. Education: M.S. in Applied Mathematics, Moscow Institute of Transport Engineers, College of Automatic and Computing Technology, Moscow, USSR (1974) Ph.D. in Physical and Mathematical Sciences, Academy of Science of the USSR (1979) His research interests span Ecology , Computer and Computation Research , Experimental and Theoretical Geophysics , Sustainable Development , Mathematics Modeling , Decision, Risk, and Management Science , and methodologies including Statistics and Measurement . He applies advanced mathematical frameworks to natural systems and environmental decision-making, leveraging tools like Optimal Control, Stochastic Processes, and Operation Research. With over 70 publications across international journals and conferences, his work emphasizes interdisciplinary approaches to coastal and marine sciences. He has organized multiple international conferences, chaired special sessions, and contributed to academic committees. His teaching spans undergraduate to post-graduate levels, covering core topics such as Calculus, Real Analysis, ODE/PDE, Probability Theory, and Advanced Mathematical Modeling. Advising & Grants: Advises Ph.D. students in Coastal and Marine System Science Chairs academic committees and special sessions No explicit grants mentioned, but extensive conference organization highlights external collaboration Labs/Teams: Affiliated with the Harte Research Institute, focusing on coastal and marine systems research. His work integrates with interdisciplinary teams addressing environmental modeling and sustainable development challenges.

Duarte J. Guerreiro Tomé AntunesView profile

Associate Professor

• Control Theory
• Optimal Control
• Stochastic Control
• +7 more

Duarte J. Guerreiro Tomé Antunes is an Associate Professor in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e), affiliated with the Control Systems Technology Group and the EAISI Foundational initiative. He holds a PhD in Automatic Control from Instituto Superior Técnico (IST), Lisbon, and has postdoctoral experience at TU/e's Hybrid and Networked Systems group. Education: Licenciatura in Electrical and Computer Engineering (IST, 2005) PhD in Automatic Control (IST, 2011) Research Focus: Specializes in optimal control, stochastic control, and networked control systems. His work addresses challenges in large-scale system optimization (e.g., drone swarms, smart grids) and event-triggered control strategies for cloud-connected systems. Recent interests include robotics, particularly quadcopter dynamics. Key Contributions: Pioneered methods for reducing the 'curse of dimensionality' in high-dimensional control systems. Developed event-triggered algorithms for energy-efficient cloud-based control and stability analysis frameworks for networked systems with data losses. Awards: IEEE Control Systems Letters Outstanding Paper Award (2019) Teaching & Supervision: Teaches optimal control, dynamic programming, and robotics courses. Supervised 47 academic works to date. Active in TU/e's Cyber-Physical Systems and Systems Engineering research area.

• Automatic Control Systems
• Algebraic and Geometric Analysis Methods
• Computer Aided Design (CAD) of Control Systems
• +5 more

Giannakoudakis Aristotle is a full Professor at the Department of Electrical Engineering, TEI of Crete. His expertise spans Automatic Control Systems, CAD for control systems design, and mathematical theories including Matrix and Invariant Theory. He has contributed to research on petrochemical processes and wind energy systems. Education: Graduated in Mechanical and Electrical Engineering (1976, NTUA, Athens), Control Systems Engineering (1978, INP Grenoble), and holds a PhD (1982, INP Grenoble) in Automatic Control. Research interests emphasize algebraic/geometric analysis, system synthesis, and computational algorithms for control problems. He has engaged in applied projects for industrial and renewable energy sectors. No scientific awards or grants are explicitly mentioned in the provided text. No advising students or lab affiliations are listed.

Mohamed AbdalmoatyView profile

Researcher

• Data-Driven Modelling
• Control Systems
• Signal Processing
• +5 more

Dr. Mohamed Abdalmoaty is a Researcher at ETH Zürich's Institut für Automatik, specializing in the Department of Automatic Control. His work focuses on Data-Driven Modelling and Control , with expertise in system identification, stochastic systems, and optimal control. He holds an affiliation within the Professorship for Complex Systems Control. His research interests emphasize data-driven approaches for predictive control, frequency-domain identification, and nonlinear dynamical systems. He has contributed to advancements in Kalman filter formulations, stochastic Wiener models, and cybersecurity in control systems, particularly in medical applications like the artificial pancreas. Abdalmoaty’s recent publications (2022–2024) highlight innovations in time-varying normalizing flows, privacy-preserving network control, and robust parameter estimation under uncertainty. His work bridges theoretical control systems with practical applications in machine learning and biomedical engineering. He has developed software tools for system identification and simulation, including implementations for frequency-domain analysis and nonparametric closed-loop identification. His research aligns with emerging trends in hybrid machine learning-control frameworks and resilient cyber-physical systems.