Emilio Torrente Lujan is a Professor in the Department of Physics at the Faculty of Chemistry, University of Murcia. His research spans particle physics, cosmology, and black hole theory. Doctorate: Universidad Autónoma de Madrid (1991), thesis on UA1 experiment calorimeter Supervisor: Dr. Antonio Ferrando Garcia Research Interests: Focused on theoretical physics, particularly neutrino oscillations, supersymmetric models, black hole thermodynamics, and string theory. His work addresses topics like the Higgs mass coincidence problem, Freudenthal transformations in black holes, and cosmological implications of new physics. Publications: Over 25 years of contributions to high-energy physics, including studies on LHC data reinterpretation, neutrino magnetic moments, and black hole shadows in M-theory. Articles reflect expertise in both experimental and theoretical domains. Research Groups: Affiliated with FISPAC (Particle Physics, Astrophysics, and Cosmology) and previously worked in condensed matter physics.
Lars Karlsson is an Associate Professor at the Department of Computing Science, Umeå University, where he serves as Assistant Head of Department with responsibilities for undergraduate education. His research focuses on developing efficient algorithms for matrix and tensor computations within high-performance computing environments. He is affiliated with the Parallel and Scientific Computing research group at Umeå. Karlsson's primary research areas include: Numerical Linear Algebra : Specializing in matrix factorizations and eigenvalue computations Parallel Algorithms : Designing scalable solutions for distributed and shared-memory systems Tensor Computations : Developing decomposition methods and completion algorithms Performance Optimization : Auto-tuning techniques for modern computing architectures His publications (2010-2025) demonstrate consistent focus on parallel algorithms for numerical problems, particularly matrix reductions, eigenvalue computations, and tensor decompositions. Recent work emphasizes auto-tuning, robustness in numerical methods, and efficient scheduling for high-performance systems. The majority of publications involve collaborative research within European computing consortia like NLAFET. Karlsson contributes to educational research, having explored mastery learning approaches in university settings. His administrative responsibilities include oversight of undergraduate programs at the Department of Computing Science.
Oh Joon-Yeoul serves as Associate Professor in the Department of Mechanical and Industrial Engineering at Texas A&M University-Kingsville's College of Engineering, specializing in optimization methodologies for telecommunications and public infrastructure systems. His academic credentials include: Ph.D. in Industrial Engineering (Operations Research), New Mexico State University (2003) M.S. in Industrial Engineering (Engineering Management), New Mexico State University (2000) M.S. in Industrial Engineering (Operations Research), Chong-Ju University (1998) B.S. in Industrial Engineering, Chong-Ju University (1995) Dr. Oh's research integrates mathematical programming and algorithmic development to solve complex industrial problems, with core expertise in Network Optimization , Wireless Telecommunication Systems , and Queueing Theory . His work bridges theoretical operations research with practical applications in municipal services, robotics, and emergency management, emphasizing non-linear and heuristic integer programming approaches for large-scale systems. Analysis of his 15 publications (2015-2020) reveals consistent focus on vehicle routing optimization (including multi-vehicle scenarios), facility location for public safety infrastructure, and multi-criteria decision frameworks . His research demonstrates strong methodological continuity in applying combinatorial optimization to real-world challenges like garbage collection routing, fire station allocation, and telecommunication network expansion, primarily through conference presentations at INFORMS and industrial engineering forums. Dr. Oh actively mentors graduate researchers as evidenced by student co-authorship on projects involving blockchain applications, humanoid robotics, and municipal service optimization. While specific grant details aren't documented, his collaborative work with colleagues like Amir Hessami indicates engagement in funded research initiatives addressing regional infrastructure challenges in South Texas. His research team focuses on practical implementation of optimization models for Kingsville municipal operations, particularly in waste management and emergency response systems, though dedicated laboratory facilities aren't specified in available materials.
Devon Sigler is a Researcher IV in Applied Mathematics and Computational Science at the National Renewable Energy Laboratory (NREL). His expertise lies in optimization, with a focus on mixed integer optimization, convex optimization, and stochastic optimization. He applies these techniques to complex energy systems, leveraging decomposition methods and high-performance computing (HPC) to solve large-scale problems in parallel. PhD in Mathematics (University of Colorado Denver) Master in Applied Mathematics (University of Colorado Denver) Bachelor in Mathematics and Philosophy (University of Colorado Boulder) Devon has worked as a Postdoctoral Researcher at NREL (2016–2018) and as a Graduate Teaching Assistant at University of Colorado Denver (2013–2017). His research spans energy system planning under uncertainty, AC optimal power flow, and water distribution network optimization, contributing to 46 research outputs. Current projects include electrified rental car centers with behind-the-meter storage and advanced probability modeling for grid reliability.
Dr. Lars Schütze is a researcher at the Chair for Compiler Construction within the Faculty of Computer Science at Dresden University of Technology (TU Dresden). Holding a PhD in Computer Science from TU Dresden, he currently serves as a PostDoc specializing in domain-specific compilers for verifiable Full Homomorphic Encryption (vFHE) and hybrid quantum-classical computing systems. His academic credentials from TU Dresden include: Bachelor's degree in Computer Science Master's degree in Computer Science PhD in Computer Science (awarded February 2025) Schütze's research centers on advanced compiler design for emerging computational paradigms. His foundational work explores context-oriented and role-based programming languages, focusing on runtime optimization and dispatch mechanisms. Recent efforts pivot toward post-quantum security through homomorphic encryption compilers and hybrid quantum-classical computing frameworks. His research bridges theoretical language design with practical compiler implementation, emphasizing verifiable security and performance efficiency in next-generation computing environments. Publication analysis reveals a clear evolution from context-oriented programming (2017-2020) toward cryptographic compiler development (2022-2025). Early work optimized role-based dispatch systems, while recent publications establish compiler frameworks for Fully Homomorphic Encryption using MLIR infrastructure. His research consistently addresses performance bottlenecks in dynamic language features while transitioning toward quantum-resistant cryptography solutions. Scientific Awards: No awards documented in source materials Dr. Schütze supervises student theses in Homomorphic Encryption and Quantum-Classical Computing frameworks, offering projects spanning Bachelor to Master levels. His research is funded through institutional projects including (verifiable) Full Homomorphic Encryption and Hybrid Quantum-Classical Computation, though specific grant details remain undisclosed. He actively develops compiler infrastructure for encrypted computation and quantum-classical orchestration. As core personnel in TU Dresden's Chair for Compiler Construction, Schütze contributes to the RoSI project (role-based software infrastructures) and leads current initiatives in vFHE. His team collaborates on building domain-specific compiler toolchains that address quantum computing threats through post-quantum cryptographic solutions while advancing hybrid execution models for emerging hardware architectures.
Francesco Provenzano is a Lecturer in Human Digital Interaction and Design for Digital Retail at Politecnico di Torino , with additional roles as a Contract Professor at the ISTUD Foundation. His work bridges strategic design, user experience (UX), and inclusive digital solutions across finance, healthcare, automotive, and cultural sectors. Department of Architecture and Design (DAD), Politecnico di Torino Host of Design Dialogues Days festival since 2020, focusing on digital, inclusive, and service design International Judge for CSS Design Awards since 2018 Research emphasizes human-centered design , integrating methodologies like Double Diamond and Design Thinking. Key areas include: Digital Service Design Accessibility Standards (ADA, WCAG, Stanca Law) Service Design for Public Sector Ecosystems Inclusive UI/UX Frameworks His publications analyze digital accessibility legislation, stakeholder mapping in service design, and UX portfolio effectiveness. Teaching spans courses on Human Digital Interaction and Design for e-commerce at Politecnico di Torino, plus User Experience for Inclusive Design at ISTUD Business School. He supervises student theses on topics like: Fashion E-commerce Sustainability (Virginia Lugli) Education System Innovation (Mariaserena Di Giovanni) Inclusive Dating Platforms (Elisa Luisi & Enrica Falletti) Professional activities include: Organizing UXplore portfolio reviews Coordinating Design Dialogues Days workshops and hackathons Consulting on digital accessibility and inclusive design strategies
Robert Schütze is Professor of European Union Law at Durham Law School and Director of the Durham European Law Institute. He also serves as a Visiting Professor at the European Legal Studies Department of the College of Europe in Bruges and at the School of Government of LUISS Guido Carli University in Rome. His academic career spans multiple prestigious institutions across Europe, including appointments as Visiting Professor or Fellow at the British Institute of International and Comparative Law (London), the Centre for European Legal Studies (Cambridge), Fribourg University (Switzerland), the Institute of European and Comparative Law (Oxford), and the Max-Planck Institute for Comparative Public Law and International Law (Heidelberg). He has also been a Fulbright-Schuman Scholar at Harvard University's Centre for European Studies. Professor Schütze's research focuses on European Union constitutional law, comparative federalism, and EU external relations. His scholarly work explores the constitutional structure of the European Union, examining how it has evolved from a dual to a cooperative federal system. He approaches EU law through a classic constitutional perspective, analyzing the EU's historical development, institutional structure, powers, and the rights of European citizens. His research demonstrates how the EU has transformed from an international organization into a constitutional union of states, with implications for sovereignty, governance, and legal integration. His publications reveal consistent focus on EU constitutional evolution and federal structures. The recurring themes across his works include the changing nature of EU competences, the development of EU external relations powers, and the constitutional implications of EU integration. His scholarship bridges theoretical frameworks with practical legal analysis, particularly in how EU law interacts with national legal systems and international law. The progression of his work shows increasing sophistication in analyzing the EU's constitutional architecture and its global implications. Best Book award from University Association for Contemporary European Studies (UACES) for 'From Dual to Cooperative Federalism: The Changing Structure of European Law' Fellow of the Royal Society of Arts Professor Schütze serves as co-editor of the Yearbook of European Law and the 'Oxford Principles of European Union Law,' and co-directs the Hart Series on 'Parliamentary Democracy in Europe.' His work has been translated into multiple languages and has had significant impact on academic literature regarding the federal nature of the European Union. Through his co-direction of the Global Policy Institute with Professor David Held, he bridges legal scholarship with broader policy considerations in global governance.
Francisco de Asis Guil Asensio is a Professor at the Faculty of Informatics , Universidad de Murcia , with a research focus spanning partial differential equations , integrable systems , and quantum theory . He holds a PhD in Mathematics (1996) from Universidad de Murcia, with a thesis on automorphism groups and Picard groups of finite-dimensional algebras. Education : PhD in Mathematics, Universidad de Murcia (1996) Thesis: "El grupo de automorfismos y el grupo de Picard de un álgebra finitodimensional" Research Interests : Specializing in soliton equations , nonlinear wave phenomena , and geometric methods in physics , his work bridges mathematical physics and applied mathematics . Key contributions include studies on Dirac-KP correspondence , twistor solutions , and quantum lattice states under magnetic fields. Publications (2007–1980): 15 major works on integrable hierarchies, geometric PDE reductions, and quantum systems. Articles explore topics like dromion deformations , self-dual Yang-Mills , and Heisenberg subalgebras in AKNS systems. Collaborations : Frequent co-authorship with Manuel Mañas on integrable systems (21 joint papers) and Luis Martínez Alonso on Whitham hierarchies. His work is cited in 57 documents across 28 serials. Technical Contributions : Developed spectral methods for Davey-Stewartson equations, applied Grassmannian geometry to soliton hierarchies, and formulated Banach-Lie group frameworks for infinite-dimensional integrability.
Dr. Anne Elizabeth Nordberg is an Associate Professor in the School of Social Work at The University of Texas at Arlington (UT Arlington), where she has served since 2013. Her research focuses on problem-solving courts, reentry support for criminalized populations, mobility justice, and police training evaluation. Nordberg holds a PhD in Social Work and Anthropology from the University of Michigan (2013), an MA in Sociocultural Anthropology (2011), an MSW (2010), and dual BAs in Anthropology and Art History/Classics from McMaster University (2004 and 1994). Research Interests: Transportation equity, criminal justice narratives, reentry innovations, police reform, and smart decarceration. Nordberg has led studies on mobility challenges for formerly incarcerated individuals, homeless populations, and survivors of intimate partner violence. She co-authored seminal work on drug and mental health courts, emphasizing racial disparities and gender-responsive practices. Grants & Awards: Nordberg secured over $600K in federal/state funding for projects like optimizing housing/service locations for returning citizens and evaluating police training programs. Notable recognitions include the 2018 President's Excellence in Teaching Award and the Jillian Michelle Smith Family Violence Fellowship. Advocacy & Leadership: She chairs UT Arlington’s Faculty Development Committee, serves on national decarceration initiatives, and advises on transportation equity. Nordberg co-edited a special journal issue on interdisciplinary grand challenges in social work and frequently presents at conferences like the Society for Social Work Research. Teaching & Mentorship: Teaches qualitative research methods and incarceration inequities. Advised over 40 graduate students, many focusing on marginalized populations’ mobility challenges. Her pedagogy incorporates decolonizing methodologies and community-engaged research.
Manuel Iori is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia (UNIMORE), Italy. His primary research focuses on operational research, optimization methods, and logistics systems. He specializes in vehicle routing problems, scheduling algorithms, and decision support systems with applications in industrial automation, healthcare, and service industries. Iori is actively involved in teaching advanced optimization courses for engineering students, emphasizing practical applications in data-driven decision-making and simulation. Research Interests: His work addresses complex optimization challenges such as multi-trip vehicle routing with time windows, scheduling under resource constraints, and tool switching in manufacturing systems. He integrates machine learning and metaheuristics to develop innovative solutions for logistics, production planning, and healthcare operations. Collaborations with industry partners (e.g., pharmaceutical distributors, printing companies) ensure practical relevance of his research. Teaching: Iori teaches courses like Optimization Methods for Data-Driven Engineering Processes , Models for Logistics and Production Optimization , and Methods and Algorithms for Optimization in Digital Industries . These courses combine theoretical foundations with hands-on labs using tools like Python, Xpress, and Anylogic. Key Contributions: He developed decision support systems for multi-trip routing in pharmaceutical distribution and supplier selection in facility management. His research on satellite scheduling and attended home delivery systems advances both theoretical and applied domains. As a member of CIRRELT (Canada), he collaborates on logistics optimization projects. Professional Activities: Iori’s work is reflected in over 80 peer-reviewed publications and contributions to conferences. He advises graduate students on optimization challenges and serves as a reviewer for top journals in operations research.
Jochen Koenemann is a Professor & Chair in the Department of Combinatorics & Optimization at the University of Waterloo. He holds a Ph.D. in Algorithms, Combinatorics & Optimization from Carnegie Mellon University (2003) and completed a postdoc at La Sapienza University of Rome (2003-2004). His research focuses on Approximation Algorithms , Algorithmic Game Theory , and Combinatorial Optimization . Notable contributions include work on stable matchings, nucleolus computation, and network design algorithms. He has organized major events like the Hausdorff Summer School and IPCO'17 in Waterloo. Academic leadership roles include chairing conferences and serving on program committees such as EC'18, APPROX'17, and SODA'14. Teaching highlights include courses on Combinatorial Optimization , Game Theory , and Algorithmic Game Theory . He co-authored an undergraduate textbook on optimization with B. Guenin and L. Tuncel. Current advisees include M. Rundstrom, H. Sun, W. Toth, and M. VanDyk. His work frequently addresses interdisciplinary challenges, such as collaborations with SickKids Hospital on algorithmic solutions for medical applications. Professional activities include editorial roles and international collaborations. Recent research trends emphasize algorithmic frameworks for game-theoretic problems and improving approximation bounds for classical combinatorial challenges. Awards and recognitions are not explicitly listed, but his extensive program committee participation underscores his academic influence.
Anito Joseph is an Associate Professor in the Management Science department at the Miami Herbert Business School, University of Miami. With expertise spanning Operations Research, Management Science, and Decision Analysis, Dr. Joseph has made significant contributions to the fields of optimization, integer programming, and disaster recovery planning. Dr. Joseph's research focuses on applying mathematical and computational methods to solve complex decision-making problems. Key areas of interest include: Operations Research and Management Science methodologies Integer programming and optimization techniques Set partitioning problems and their applications Disaster recovery planning and business continuity Attribute discretization for decision tree induction Group decision-making using the Analytic Hierarchy Process Dr. Joseph's publication record demonstrates a consistent focus on developing mathematical models and computational approaches to address challenging real-world problems. The research shows a progression from foundational work in integer programming and set partitioning to applications in disaster recovery planning and decision analysis. A distinctive feature of this work is the emphasis on developing optimal solution approaches rather than heuristic methods, ensuring mathematical rigor in addressing complex problems. The research often bridges theoretical developments with practical applications, particularly in business and information systems contexts. Dr. Joseph has authored numerous peer-reviewed publications in prestigious journals including European Journal of Operational Research, Computers & Operations Research, and the Journal of the Operational Research Society. Collaborative work with researchers such as Kweku-Muata Osei-Bryson demonstrates an interdisciplinary approach to problem-solving. As an educator at the Miami Herbert Business School, Dr. Joseph contributes to the Management Science program, preparing students to apply advanced analytical methods to business challenges. While specific teaching interests aren't detailed in the available information, the research profile suggests expertise in quantitative methods, optimization, and decision analysis that likely informs classroom instruction.
Remy Dupas is a Professor at the University of Bordeaux , affiliated with the IMS Bordeaux - Integration, Material to System Laboratory within the Production Engineering research group. His work focuses on Operations Research , Logistics , and Transportation Systems , developing advanced algorithms for complex routing and supply chain optimization problems. Research Highlights: Innovative Branch-Cut-and-Price algorithms for Two-Echelon Vehicle Routing Problems with drones and time windows City Logistics models for sustainable urban freight distribution in Tokyo MultiAgent Systems for supply chain coordination 3D Loading Constraints integration in pickup-and-delivery problem solving Rail-Rail Transshipment scheduling methodologies Key Publications (2024-2007) demonstrate expertise in Combinatorial Optimization , Dynamic Routing , and Interoperability Metrics for enterprise systems. His research is characterized by strong Algorithm Development and Real-Time Transportation solutions.
Okan Özer is a Professor in the Department of Physics Engineering at Gaziantep University’s College of Engineering. Holding a PhD in Physics Engineering (1997–2003), he has dedicated his career to nuclear physics, theoretical methods, and neutron transport theory. He served as Head of the Nuclear Physics Division (2017–2019) and Erasmus Coordinator (2019–present). His research focuses on critical systems, supersymmetric quantum mechanics, and anisotropic scattering. Education: PhD in Physics Engineering, Gaziantep University (2003); MSc in Physics Engineering, Gaziantep University (2003); BSc in Physics Engineering, Gaziantep University (1997). Research interests span nuclear reactor safety, neutron transport equations, and mathematical physics. His work includes critical thickness calculations, Monte Carlo simulations for reactor systems, and applications of asymptotic iteration methods to supersymmetric potentials. Articles emphasize eigenvalue problems, anisotropic scattering, and non-Hermitian systems. Scientific contributions include a TÜBİTAK scholarship for research at Hungary’s Institute for Nuclear Research. He has supervised multiple theses, including PhD work on critical size calculations (2021) and Master’s theses on neutron multiplication (2024), reflector savings (2021), and fission chain reactions (2018). Additional roles include editorial positions at journals like Journal of Engineering Research and Reports and participation in IAEA nuclear security meetings (Austria), ICTP-IAEA training courses (Italy), and international conferences on nuclear physics and quantum systems.
Ralitsa Demirkova serves as a Senior Lecturer at the Department of English and American Studies within the Faculty of Modern Languages at St. Cyril and St. Methodius University of Veliko Tarnovo. Holding a PhD, she specializes in Translation Studies and Comparative Linguistics with a focus on English-Bulgarian contrastive analysis. Her research centers on theoretical and practical translation challenges, particularly wordplay, humour, and financial statement translation. Over the past six years, she has concentrated on linguistic nuances in cross-cultural contexts, publishing extensively on translatability barriers and creative solutions in specialized domains. Analysis of her 15 most recent publications reveals consistent emphasis on wordplay mechanics across literary genres. Recent works explore fairy tale narrative structures, problem-solving frameworks in translation, and comparative models for linguistic phenomena. Her scholarship frequently utilizes British children's literature (Lewis Carroll, Roald Dahl) to demonstrate cross-linguistic complexities. Dr. Demirkova contributed to the 2023 'Multicultural Dialogues: Translation and Literary Reception' project examining Spas Nikolov's translations of William Blake. While her student advising roles remain undocumented, her teaching encompasses business translation and linguistics for undergraduate programs. No scientific awards are recorded in available institutional sources for Dr. Demirkova.
