Dr. LI Yuanxi, Kristen is a Lecturer in the Department of Computer Science at Hong Kong Baptist University. She holds a Ph.D. in Computer Science and an M.Sc. in IT Management from the same institution. Her research focuses on semantic multimedia indexing, adaptive search engines, link prediction using big data, infectious disease modeling, inclusive education, and web usability design. Education: Ph.D. in Computer Science, Hong Kong Baptist University M.Sc. in IT Management, Hong Kong Baptist University Her research explores innovative methods for multimedia retrieval and search engine design, with applications in social media analysis and public health. She actively engages in pedagogical research to enhance teaching methodologies. Recent Workshops: Organized the 2017 Joint Design Workshop on 'Design for Sustainability (D4S)', available on YouTube. Her publications emphasize semantic technologies and ontology-driven systems to improve information retrieval effectiveness.
Pedro Azevedo de Amorim is a Researcher (Research Associate) in the Department of Computer Science at the University of Oxford. He holds a PhD from Cornell University (Computer Science Department), where he worked under Dexter Kozen. His research focuses on formal verification, programming language theory, and their intersections with category theory, type theory, proof assistants, and logic. He explores applications to probabilistic programming semantics and substructural logics. Key research areas include semantics of probabilistic programming languages, categorical probability, and denotational semantics. His work spans foundational aspects of programming languages, including logical relations, effect systems, and modular hardware design. Notable collaborations include projects like BLAST (Employing Categorical Probability Towards Safe AI). Pedro has published influential papers at top venues such as LICS, PLDI, and OOPSLA. His recent work addresses expected cost analysis, timeline types for hardware design, and dependent type systems for parser verification. He has taught as a Teaching Assistant in courses ranging from compilers to category theory at Cornell University. Current affiliations include the Wolfson Building (Room 309) at Oxford, with active involvement in projects linking category theory to practical programming language challenges. His research emphasizes bridging theoretical foundations with applied systems for safer AI and verified software.
Dr. Alexandros Paspatis is a Senior Lecturer in Electrical and Electronic Engineering at Manchester Metropolitan University (MMU). He holds an MEng in Electrical and Computer Engineering from Democritus University of Thrace (2016) and a PhD in Automatic Control and Systems Engineering from the University of Sheffield (2020). His research focuses on control of power converters, microgrid stability, and laboratory validation methods, with over 40 peer-reviewed publications. He serves as Associate Editor for the IEEE Journal of Emerging and Selected Topics in Industrial Electronics and contributes to flagship IEEE conferences. Education: MEng, Electrical and Computer Engineering, Democritus University of Thrace, Greece (2016) PhD, Automatic Control and Systems Engineering, University of Sheffield, UK (2020) Research interests include inverter-based power systems, grid-forming inverters, hardware-in-the-loop (HIL) testing, and renewable energy integration. He leads projects like ERIGrid 2.0, advancing validation tools for complex power systems. His work emphasizes cybersecurity in smart grids and financial implications of renewable infrastructure deployment. Editorial & Leadership Roles: Vice-chair, IEEE Industrial Electronics Society Technical Committee on Smart Grids (2023–present) Advisory Board Member, Haliogen Power Limited (2025–present) Key Awards: Fellow of the Higher Education Academy (FHEA) Member, IEEE and IET Advising & Grants: Actively supervising PhD students in inverter-based systems. Collaborates with industry on projects like HIL testing methodologies and microgrid resilience. His research has been showcased in invited talks at leading institutions worldwide, including the University of Warwick and China University of Mining and Technology. Labs & Teams: Core contributor to ERIGrid 2.0, developing open-source tools for energy system validation. Engages in educational initiatives to enhance interdisciplinary engineering training through power electronics labs and real-time simulation frameworks.
Sisi Li is an Associate Professor of Computer Science at Mercy College's School of Liberal Arts. Her research focuses on interdisciplinary areas spanning machine learning, control systems, energy efficiency, and optimization algorithms. She has contributed to advancements in domain adaptation, cyber-physical systems, and smart grid technologies. Her work emphasizes practical applications in energy management, vehicle systems, and building automation. Research interests include developing novel algorithms for imbalanced classification, multi-objective optimization, and swarm intelligence-based clustering. She explores the intersection of computational methods with real-world challenges in manufacturing, HVAC systems, and eco-driving strategies. Her recent studies address thermal model reduction, distributed load management, and social incentive policies for demand response in commercial buildings. Publications highlight a strong focus on model predictive control, energy storage optimization, and sensitivity analysis techniques. Her work frequently integrates advanced mathematical frameworks like pseudospectral methods and dynamic programming to solve complex engineering problems. While no awards are explicitly listed, her prolific publication record reflects significant contributions to computational and energy-related research domains.
Clinton L. Jeffery is a Professor and Chair in the Department of Computer Science at New Mexico Institute of Mining and Technology. He holds a B.S. (1987), M.S. (1989), and Ph.D. (1993) in Computer Science from the University of Washington and University of Arizona. His research spans programming languages, program execution monitoring, and software visualization. Key research areas : Design and implementation of programming languages (Unicon, Godiva) Program execution monitoring and debugging (Alamo, UFO) Collaborative virtual environments and MMO-style games Visualization of dynamic program behavior Publication trends focus on programming language design, debugging methodologies, and software visualization. His 2021 book Build Your Own Programming Language emphasizes language development, while earlier works explore runtime verification, thread models, and graphical programming. Professional roles : General Chair, AADEBUG 2005 Co-Chair, FLOSS mini-tracks at HICSS (2010-2014) Program Committee Member for ACM SAC, SEKE, and ICICS Reviewer for journals and NSF panels Campus Liaison, USENIX Association
Patrick Ryle serves as Assistant Professor of Accounting at Dalton State College's Wright School of Business since his January 2019 hire, currently on the tenure track with promotion application for spring 2025. His primary teaching responsibilities encompass Accounting and Finance & Applied Economics within the business school framework. Dr. Ryle's academic credentials demonstrate exceptional breadth across law, finance, and public policy: Ph.D. in progress at Georgia Institute of Technology (expected 2025) Master's in Financial Planning, University of Georgia (2024) PDBP Accounting & Finance SA Certification, University of Florida (2018) M.B.A., University of Rhode Island (2017) LL.M. in Trial Advocacy, Temple University School of Law (2007) Master of Public Administration, Harvard University (2005) LL.M. in Taxation, Boston University School of Law (2004) J.D., Northeastern University School of Law (1995) B.S. in Accounting & Finance, University of Massachusetts Boston (1992) His research operates at critical intersections of technology, regulation, and finance, with concentrated expertise in semiconductor industry policy (particularly CHIPS Act implications), data privacy frameworks (Gramm-Leach-Bliley, CCPA), retirement planning reforms (SECURE Act), and evolving tax consequences in digital domains. This multidisciplinary approach addresses urgent real-world challenges in cybersecurity compliance, financial technology, and geopolitical supply chain dynamics. Publication analysis reveals a pronounced trajectory toward policy-impact research, with recent work dominating regulatory discussions around semiconductor manufacturing, retirement savings modernization, and data security mandates. His output demonstrates consistent engagement with practitioner communities through outlets like The Tax Advisor and Journal of Financial Planning alongside academic journals. Dr. Ryle maintains active scholarly productivity with 16 peer-reviewed publications through 2024 and three forthcoming 2025 articles, reflecting sustained contribution to accounting, taxation, and financial regulation discourse. His professional certifications (CPA, CMA, CIPP/US) further validate applied expertise across legal, technical, and compliance domains.
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.
