Prof. Diana Estévez Black is a Professor at Berlin University of Technology, affiliated with Department II (Mathematics, Physics, Chemistry). She specializes in Numerical Analysis and Differential-Algebraic Equations (DAEs), focusing on numerical methods, matrix factorization, and computational techniques for solving complex mathematical models. Teaching: She teaches courses in Applied Mathematics, Biotechnology Mathematics, Computational Engineering, and Mechanical Engineering programs, including Numerical Mathematics, Linear Algebra, and Numerics for graduate-level engineering disciplines. Research: Her work emphasizes DAE analysis, singular value decomposition, and eigenvalue problems. She has developed software like InitDAE for consistent initialization of DAEs and published extensively on topics such as robotic arm dynamics, multirate PDAEs, and tax policy modeling. Her research bridges theoretical mathematics with practical applications in engineering and economics. Labs/Tools: She contributes to software development (e.g., Python-based InitDAE ) and maintains visualization resources for numerics education, including Hinton diagrams for matrix factorization and animations for discrete mathematics concepts.
Antonino Sferlazza is an Associate Professor in the Polytechnic School at the University of Palermo, specializing in Control Systems Engineering and Power Electronics. His research focuses on advanced control strategies for electric drives, power converters, and robotics systems. He has taught courses such as Automotive Control Systems , Automatic Controls , and Dynamic Systems Identification and Filtering across multiple engineering disciplines, including Electronics and Aerospace Engineering. His work emphasizes sensorless control of motors (e.g., BLDC, PMSM), DC-DC converter design for automotive and energy systems, and nonlinear control methodologies. Notable contributions include studies on Silicon Carbide (SiC) and Gallium Nitride (GaN) switches for electric vehicle recharging, and robust disturbance rejection control for DC microgrids. He has supervised numerous theses on topics like drone propulsion systems, ROV control, and predictive control algorithms for inverters. His research also extends to localization systems using inertial data and hybrid observers, as well as applications in renewable energy (e.g., micro wind turbines) and automotive systems (e.g., exhaust energy recovery). Sferlazza contributes to both theoretical advancements and experimental validation, publishing in journals and conferences on control systems, power electronics, and robotics.
Michael Russell is a Lecturer in the Faculty of Engineering and Informatics, Department of Computer and Software Engineering. His academic career spans over three decades, with active research contributions from 1988 to the present. He specializes in interdisciplinary fields blending technical innovation with pedagogical exploration. Research interests include Speech Recognition, Artificial Intelligence, and Pattern Recognition. Notable work involves intelligent agents, data mining, and applying artificial life principles to speech processing systems. His educational research focuses on software engineering curriculum design, tacit knowledge integration, and team-based learning strategies. Publications reflect a dual focus on advancing technical domains like speech enhancement algorithms and educational methodologies. Recent works emphasize curriculum design and team-based learning, while earlier contributions include foundational research in distributed operating systems and early AI models. No scientific awards were listed in the provided information. Advising and grants details are currently unavailable. No specific lab affiliations or teams are mentioned.
Ayla Rigouts Terryn is an Adjunct Professor at Université de Montréal's Faculty of Arts and Sciences, Department of Linguistics and Translation. She holds a Master's in Translation from the University of Antwerp and a PhD in Automatic Terminology Extraction from Ghent University. Her research focuses on improving language models through linguistically grounded approaches, emphasizing multilingual and specialized contexts. She leads the ACTER dataset project and co-leads research on lexical interactions between humans and machines. Research & Education PhD: Ghent University (D-Termine project) MSc: University of Antwerp (Translation) Mila (Quebec AI Institute) affiliation Research Interests : Automatic terminology extraction Computational linguistics Multilingual AI systems Bias analysis in large language models Specialized translation technologies Grants : FRQNT grant for translation bias research (2025-2028) FRQSC grant for lexical research team (2025-2030) Labs & Teams : LT3 Language and Translation Technology Team (Ghent University), Observatoire de linguistique Sens-Texte (OLST).
Mihaela Vela is a Senior Lecturer at the Department of Language Science and Technology at Saarland University. Her research focuses on machine translation evaluation, post-editing strategies, and translation technologies. Prior to her academic role, she worked as a researcher at the Language Technology Lab of DFKI (2007–2011), contributing to projects like ontology schema extraction from financial news. She holds a PhD in Computational Linguistics (2011) from Saarland University, supervised by Hans Uszkoreit and Thierry Declerck, and a Licentiate degree in Linguistics from West University of Timisoara. Her teaching portfolio includes courses such as Translation and Content Management , Applied Language Technologies , and Machine Translation , reflecting her expertise in integrating computational methods with translation practice. She has developed tools like TeLeMaCo (a collaborative teaching repository) and Catalog (a post-editing interface). Her work emphasizes improving translation workflows through better CAT tool design, metadata preservation, and cognitive load analysis in post-editing tasks. Key contributions include the SubCo corpus of learner translations and studies on post-editing effort in low-resource languages. Her research bridges theoretical linguistics with practical applications, addressing challenges in legal text classification, parliamentary discourse analysis, and neural post-editing systems.
Katri Hämeen-Anttila is a Professor at the School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland. Her research focuses on pharmaceutical policy, medication counseling, patient participation, and rational pharmacotherapy. She holds editorial roles in Dosis and Research in Social and Administrative Pharmacy , and is a member of the Finnish Pharmaceutical Society's Executive Committee. Key projects include the Rational Pharmacotherapy Action Plan and studies on automatic substitution of biological medicines. She leads the Pharmaceutical Policy Research Group and the House of Effectiveness initiative, emphasizing patient involvement in healthcare decision-making. Her work combines qualitative research with population surveys, addressing issues like medication adherence, healthcare costs, and incident reporting systems. Recent studies include evaluating non-prescription medicine counseling quality in Finnish pharmacies and exploring patient safety software usability. Professional contributions include over 11 years at the Finnish Medicines Agency, focusing on strategic development, pharmacy services research, and patient engagement. She advocates for standardized medication counseling and improved medicines information practices.
Janusz Kacprzyk is a Full Professor at the Systems Research Institute, Polish Academy of Sciences (1970–present, full-time). He concurrently holds part-time professorships at WIT – Warsaw School of Applied Information Technology and Management (since 1998), the Industrial Institute of Automation and Measurements (PIAP) (since 2007), and the Department of Electrical and Computer Engineering, Cracow University of Technology (since 2010). He is an IEEE Fellow (since 2006) and IFSA Fellow (since 1997), a Full Member of the Polish Academy of Sciences (since 2010), and Foreign Member of the Bulgarian Academy of Sciences (since 2013) and the Spanish Royal Academy of Economic and Financial Sciences (since 2007). Education M.Sc. in Automatic Control and Computer Science, Warsaw University of Technology, Poland Ph.D. in Systems Analysis, 1977 D.Sc. in Computer Science, 1991 Research Interests Professor Kacprzyk’s research exploits modern computational and artificial intelligence techniques—especially fuzzy logic—to address uncertainty, imprecision, and human-centric reasoning in systems. Core themes include: Multivalued and fuzzy logic for uncertainty modelling Natural-language-based system representation and reasoning Data mining and linguistic summarisation of large data sets for decision support Flexible database querying with imprecise or bipolar user preferences Computational models for group decision making, social choice, voting, and consensus reaching Multistage optimal fuzzy control via dynamic programming These strands converge on real-world applications in ICT, mobile robotics, business analytics, and finance. Scientific Awards & Distinctions 2014 WAC Lifetime Achievement Award in Soft Computing 2013 IFSA Award for Outstanding Academic Contributions and Lifetime Achievement 2010 Medal of the Polish Neural Network Society 2007 IEEE CIS Silicon Valley Chapter Pioneer Award 2006 IEEE CIS Fuzzy Systems Pioneer Award 2006 Kaufmann Award and Gold Medal (SIGEF & FEGI) 2000 AutoSoft Journal Lifetime Achievement Award Fellow, IEEE (2006–) Fellow, IFSA (1997–) Foreign Member, Bulgarian Academy of Sciences (2013–) Full Member, Polish Academy of Sciences (2010–) Foreign Member, Spanish Royal Academy of Economic and Financial Sciences (2007–) Leadership & Service President, Polish Operational and Systems Research Society (PTBOiS), since 2007 Past President, International Fuzzy Systems Association (IFSA), 2009–2011 Member, Administrative Committee (AdCom), IEEE Computational Intelligence Society, since 2010 Member, Award and Fuzzy Pioneer Committee, IEEE CIS, since 2010 Distinguished Lecturer, IEEE Computational Intelligence Society, 2010–2013 He has held visiting appointments in the USA, Italy, UK, Mexico, and China, and serves as Editor-in-Chief of six Springer book series and two journals, while sitting on the editorial boards of approximately 40 further journals.
Patrick A. Carrington is an Associate Professor in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University's School of Computer Science. His research focuses on accessibility, wearable technology, and assistive technologies, exploring how technology can understand human ability and support empowerment, independence, and improved quality of life for people with diverse abilities. His research interests span multiple areas of accessibility and human-computer interaction. He investigates user needs and designs technology systems that enhance and leverage the full potential of users with diverse abilities, with particular focus on non-visual interfaces, wheelchair computing (which he terms "chairables"), and social media accessibility. His work combines technical innovation with deep user understanding to create meaningful assistive technologies. Dr. Carrington's publication record demonstrates consistent contributions to the field of accessibility research. His work shows a clear trajectory from foundational studies on wheelchair computing and chairables to more recent explorations of non-visual cooking interfaces, social media accessibility, and the application of large language models for communication assistance. His research consistently addresses real-world accessibility challenges through carefully designed user studies and novel technological interventions. Scientific recognition for his work includes: Best Paper Award (Top 1%) at CHI 2019 for "Occupational Therapy is Making" Best Student Paper at ASSETS 2024 for "WheelPoser" Multiple Best Paper Honorable Mentions (Top 5%) across CHI and ASSETS conferences Recognition for innovative work in Twitter accessibility, wheelchair sports technology, and non-visual interfaces As an educator, Dr. Carrington teaches courses including "Designing Human-Centered Software" (FA2022-FA2024, SP2025), "Special Topics: Accessibility" (SP2021, FA2021, SP2022, FA2024), and "Programming Usable Interfaces" (SP2020, FA2020). He leads the AXLE Lab, mentoring numerous students including Franklin Mingzhe Li, Yunzhi Li, and others who have become co-authors on his publications. His lab focuses on designing human-centered software that addresses real accessibility challenges through innovative technical solutions combined with deep user understanding.
Teresa Ghilarducci is the Irene and Bernard L. Schwartz Professor of Economics and Policy Analysis at The New School for Social Research, serving as department chair during the 2024-2025 academic year. She directs the Schwartz Center for Economic Policy Analysis (SCEPA), focusing on policy research and outreach. Previously, she spent 25 years at the University of Notre Dame before joining The New School in 2008. Her PhD in Economics (1984) is from the University of California, Berkeley. Ghilarducci specializes in retirement security, labor economics, and pension policy, authoring influential books like Rescuing Retirement (2016) and When I’m Sixty Four (2008). Her research addresses systemic retirement crises, pension reform, and economic disparities affecting older workers. Recent work includes analyzing monopsony power’s impact on wages (2022), debunking 'working longer' retirement advice (2022), and evaluating EITC expansion benefits (2021). She has received awards including the 1992 Association of American Publishers award for Labor's Capital . Ghilarducci advises graduate students through directed dissertation studies and mentors research projects. Her policy work informs national debates on retirement security, Social Security reforms, and income support for older workers through SCEPA publications and congressional testimony.
Olga Litvyak serves as a Senior Researcher at the Center for E-Governance, University for Continuing Education Krems, Austria. Her work bridges e-governance, cybersecurity, and data-driven political communication analysis, with active contributions to Austrian federal/state-funded research initiatives focused on digital public administration. Dr. Litvyak's research centers on computational analysis of political discourse, media framing, and digital transformation in governance. She employs advanced NLP techniques (including BERTopic) to study election campaigns, parliamentary debates, and crisis communication patterns. Her expertise spans open data initiatives, cybersecurity education models, and digital product passports for sustainable industry practices, emphasizing practical applications for public sector innovation. Analysis of her 15 most recent publications (2022-2024) reveals three dominant trajectories: (1) Cybersecurity education frameworks using micro-credentials and active learning; (2) AI-driven analysis of political discourse in forestry management, election campaigns, and crisis response; (3) Digital transformation case studies in open data implementation and product passport systems. These streams consistently integrate machine learning with policy analysis across Austrian and European contexts. No scientific awards were documented in the source materials. Dr. Litvyak leads the project 'Evaluierung der Wirkung der Open Data Initiative der Stadt Wien' (funded by Austrian Bundesländer) and contributes to seven additional grants including 'Vinepredict' (mildew forecasting AI) and 'Future Skills 3'. Her collaborative projects with Gregor Eibl, Peter Parycek, and Thomas Lampoltshammer involve FFG, federal ministries, and state entities, focusing on cybersecurity, timber industry data sovereignty, and cyber-physical systems. While no formal students are listed, her principal investigator roles imply mentorship of junior researchers. As a core member of the Center for E-Governance, she operates within a multidisciplinary team advancing digital public services through partnerships with government agencies and industry stakeholders. The center serves as Austria's hub for e-governance innovation, particularly in data-driven policy evaluation and secure digital infrastructure development.
Juan C. Vasquez is a Professor and Co-Director of the Center for Research on Microgrids (CROM) at Aalborg University, Denmark. He holds a B.S. in Electronics Engineering from the Autonomous University of Manizales (2004) and a Ph.D. in Automatic Control, Robotics, and Computer Vision from the Technical University of Catalonia (2009). His academic career includes roles as Assistant Professor (2011–2014) and Associate Professor (2014–2019) before becoming a full Professor. He has held visiting positions at Virginia Tech’s CPES and Ritsumeikan University, Japan. His research focuses on microgrid operation, advanced control strategies, energy management systems, IoT integration in smart grids, and maritime microgrids. He has authored over 649 publications and secured significant grants, including the EU-funded projects EU-DREAM (2024–2027) and NEST (2024–2026). He is an IEEE Senior Member and serves as an Associate Editor for journals like IET Power Electronics and IEEE Access. Research Highlights: Microgrid control, distributed energy resources, and digital twins for energy systems. Awards: Young Investigator Award (2019), Clarivate Highly Cited Researcher (since 2017). Grants: Led 49 projects, including EU-DREAM (€ funding) and NEST (national infrastructure roadmap). Prof. Vasquez contributes to UN Sustainable Development Goals, particularly in affordable and clean energy (SDG 7). His work bridges academia and industry through collaborations on resilient energy systems and smart grid innovations.
Cristina Stoica is a Professor at CentraleSupélec/L2S, Université Paris-Saclay, specializing in control systems and robotics. She leads the SYCOMORE research team (since 2020) and co-heads the 'Pedagogical Innovation and EdTech' projects cluster. Her research focuses on ensemble state estimation, robust control, multi-agent systems, and control education. She has received awards including the 2024 Bozenna Pasik-Duncan Award and the 2023 Best Paper Award in Control Engineering Practice. Education: PhD in Automatic Control (2008, Supélec/Paris Sud 11) and HDR (2014, Université Paris-Saclay). She holds a B.Sc. and M.Sc. in Electrical Engineering from the Polytechnic University of Bucharest. Teaching: Teaches core modules in Control Theory, Automatic Control, and Dynamical Multi-Agent Systems at CentraleSupélec. Develops innovative courses integrating robotics and hands-on projects. Research Highlights: Contributions to distributed estimation, fault-tolerant control, and UAV coordination. Notable projects include radar imaging applications and pedagogical tools like the DroPong game and Drone Arenas-based teaching. Administrative Roles: Head of SYCOMORE team, Deputy Head of Research Professional Track (2017–2022). Memberships: IEEE Senior Member, IFAC Technical Committees on Control Education and Societal Impact. Labs/Teams: Leads SYCOMORE (Robust Control of Complex Systems) and contributes to MODESTY and COMEDY research groups.
Caroline Chanel is a Professor at ISAE-SUPAERO (DCAS), holding the CASAC Chair since 2022. She has extensive experience in research and teaching, with roles including Associate Professor (2019-2024), Research Engineer (2013-2019), and HDR accreditation (2023). Her research focuses on embedded decision-making for autonomous systems, including proactive architectures, multi-robot cooperation, and human-machine interaction. She leads and participates in high-profile projects like SAMURAI (AID), CHIP-GT (ANR-DFG), and HAICO (CASAC Chair). She has supervised numerous PhD students and post-doctoral researchers, collaborating with institutions like ONERA, INRAe, and international partners. Education: PhD in Control and Embedded Systems (University of Toulouse 2013), Master's in Automatic Systems (Université Paul Sabatier 2008-2009), and Engineer Diploma from PUCRS (2002-2008). Awards include the Amelia Earhart Fellowship (2011) and ISAE-SUPAERO Foundation PhD Fellowship (2013). Research interests span decision-making algorithms, multi-agent systems, and neuroergonomics. Key projects address UAV navigation, blockchain integration for autonomous systems, and physiological computing for human-robot interaction. Teaching responsibilities include modules on autonomous systems, control systems, and neuroergonomics at ISAE-SUPAERO's engineering and master's programs. She co-leads the DECISIO doctoral team (ISAE-ONERA) and is involved in executive roles for conferences like EDSYS'.
Dr. Philipp Rehner is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich. He holds a master’s degree in process engineering from the University of Stuttgart and completed his Ph.D. there under Professor Joachim Gross, focusing on classical density functional theory and interfacial properties of nanodroplets. Since 2021, he has been a postdoctoral researcher and group leader of the Molecular Design Group at ETH Zürich’s Energy and Process Systems Engineering (EPSE) Group. Research Interests: Development and application of classical density functional theory (DFT) for interfacial systems and adsorption modeling Thermodynamic modeling using equations of state (e.g., PC-SAFT, PCP-SAFT) Computer-aided molecular and process design GPU-accelerated computational methods for large-scale simulations Automated parameter prediction for molecular models using machine learning and SMILES representation Key Contributions: Developed the open-source FeOs framework for equations of state and DFT Advanced group-contribution methods for binary interaction parameters in thermodynamic models Pioneered GPU-accelerated DFT calculations for adsorption in porous materials Recognition: Recipient of the Walter Benjamin Fellowship (German Research Foundation) Labs/Teams: Leader of the Molecular Design Group at ETH Zürich’s EPSE Group Collaborator on interdisciplinary projects involving chemical engineering, computational chemistry, and materials science
Hazin İNCİ is a Researcher at Adıyaman University's Department of Electrical and Electronics Engineering within the Faculty of Engineering. He holds a PhD from Ege University and has been affiliated with Adıyaman University since 2014. His academic journey includes a BSc from Mersin University (2008-2013) and participation in the Erasmus exchange program at Fontys University of Applied Sciences (2011-2012). Research interests focus on advanced control systems, robotics, embedded systems, and nonlinear system analysis. Key projects include developing high-performance maintenance systems, control laboratory setups, and collaborative robotic applications. He has contributed to international conferences such as the IFAC Workshop on Cyber-Physical Human Systems and the National Conference on Automatic Control. Professionally, he teaches courses like Algorithms and Computer Programming, Linear Algebra, and Embedded Systems. He currently holds administrative roles including Bologna Program Coordination and Project Development Office Management at Adıyaman University.
