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Jens EisertView profile

Professor

Free University of BerlinGermany

Prof. Dr. Jens Eisert is a Professor at the Free University of Berlin, where he leads the Quantum Many-Body Theory, Quantum Information Theory, and Quantum Optics research group (Eisert AG) within the Institute of Theoretical Physics at the Dahlem Center for Complex Quantum Systems. His office is located at Arnimallee 14, Room 1.3.06 in Berlin-Dahlem. His research focuses on the intersection of quantum information theory and condensed matter physics, specifically exploring what information processing tasks are possible using individual quantum systems as information carriers. His group develops mathematical-theoretical foundations of quantum information, particularly in entanglement theory and tomography, while also investigating quantum optical implementations using light modes or cold atoms in optical lattices. A major emphasis of their work is on quantum many-body systems, including static properties, efficient numerical simulation methods like tensor networks, and non-equilibrium quantum dynamics. Recent publications highlight significant contributions in thermalization of quantum systems (Communications Physics 2025), quantum thermodynamics (Nature Physics 2025), and quantum error correction (PRX Quantum 2025). The group's work is characterized by combining the rigor of mathematical physics with physically motivated applicability, frequently leading to direct collaborations with experimental groups. Quantum Information Theory Quantum Many-Body Theory Quantum Optics Entanglement Theory Tensor Networks Quantum Error Correction Prof. Eisert maintains active supervision of numerous PhD students and postdoctoral researchers, with research positions regularly available in areas including quantum error correction, quantum information theory, tensor networks, and quantum simulation. His group has published extensively in top journals including Nature Physics, PRX Quantum, and Physical Review series.

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Michelle EllefsonView profile

Professor

University of CambridgeUnited Kingdom

Professor Michelle Ellefson is a Professor of Cognitive Science at the University of Cambridge's Faculty of Education, where she serves as Director of CAM-DTP and as Undergraduate Tutor for Gonville and Caius College. She convenes the INSTRUCT Research Group (Implementing New Student Thinking Resources Using Cognitive Theory) and is affiliated with multiple interdisciplinary initiatives including Cambridge Neuroscience, Cambridge Big Data, and Cambridge Language Sciences. Her educational background includes a PhD and MA in Brain and Cognitive Sciences from Southern Illinois University and a BA in Psychology, summa cum laude, from the University of Minnesota. She is a member of several professional organizations including the Psychonomic Society, Cognitive Science Society, Women in Cognitive Science, and SPARK Society. Professor Ellefson's research integrates cognition, neuroscience, child development, and education into a multi-disciplinary program aimed at improving math and science education. Her work focuses on executive functions in school achievement, children's causal reasoning about scientific phenomena, and applying cognitive principles like simplicity and desirable difficulties to classroom learning. Her research spans laboratory-based studies paired with classroom applications to understand cognitive development mechanisms and improve educational practice. Her recent publications reveal strong trends in executive function research across cultural contexts, particularly examining East-West contrasts and the relationship between executive functions and academic achievement. Her work increasingly focuses on developing and validating assessment tools like the Zoo Task for metacognitive problem-solving, and she is committed to open science practices including registered reports and pre-registration of studies. Psychonomic Society Cognitive Science Society (CogSci) Women in Cognitive Science (WiCS) SPARK Society Professor Ellefson actively supervises PhD students through the Psychology, Education & Learning Studies program and teaches cognitive psychology and educational neuroscience in the PGCE program. She emphasizes quantitative methods and R programming for data analysis, requiring doctoral students to develop strong statistical skills. Her lab follows Cambridge's inquiry-based learning model and maintains a commitment to diversity and inclusion, welcoming researchers from varied socioeconomic, national, and cultural backgrounds. The INSTRUCT Lab also focuses on open science practices, sharing data and materials through OSF and publishing preprints in Psych-Archive.

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Mahdi SoltanolkotabiView profile

Professor

Brown UniversityUnited States

Mahdi Soltanolkotabi is a Professor in the Departments of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering at the University of Southern California's Viterbi School of Engineering. He serves as the inaugural Director of the USC Center on AI Foundations for Science (AIF4S). His academic journey includes a Ph.D. in Electrical Engineering from Stanford University (2014) under Emmanuel Candes, followed by a postdoctoral position at UC Berkeley's AMPLAB mentored by Ben Recht and Martin Wainwright. Dr. Soltanolkotabi's research spans both theoretical and applied dimensions of data science. On the theoretical side, he develops mathematical foundations for modern data science, focusing on generative AI, deep learning, machine learning, signal processing, and computational imaging. His work draws upon nonconvex optimization, high-dimensional probability, statistical estimation, empirical processes, and learning theory. On the applied side, he develops reliable AI systems for healthcare and scientific applications, collaborating with physicians and domain scientists to enhance AI reliability, develop new architectures, and create rigorous evaluation frameworks. His recent publications demonstrate strong focus on medical AI applications, image reconstruction, and theoretical foundations of deep learning. His work bridges the gap between theoretical guarantees and practical implementations, particularly in medical imaging where reliability is critical. His research group has made significant contributions to understanding the behavior of nonconvex optimization algorithms in high-dimensional settings. David and Lucile Packard Fellow Information Theory Society Best Paper Award NIH Director's new innovator award Sloan Research Fellowship NSF Career award Airforce Office of Research Young Investigator award (AFOSR-YIP) Viterbi school of engineering junior faculty research award Faculty awards from Google and Amazon Dr. Soltanolkotabi has received multiple research grants including Amazon Research Awards for projects on "Artificial intelligence for fast and portable medical imaging" and "Reliable AI for Generation of Medical Reports from MRI Scans." He actively collaborates with medical professionals and leads educational outreach initiatives with local schools through USC's Viterbi Adopt-a-School program. His work demonstrates a strong commitment to translating theoretical advances into practical healthcare solutions while maintaining rigorous mathematical foundations.

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Remco M. DijkmanView profile

Professor

Eindhoven University of TechnologyNetherlands

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

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Mateo Valero CortésView profile

Professor

Polytechnic University of CataloniaSpain

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

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Bineet GhoshView profile

Assistant Professor

University of AlabamaUnited States

Bineet Ghosh is an Assistant Professor in the Department of Computer Science at The University of Alabama's College of Engineering . He leads the Trustworthy Autonomy Lab , focusing on safety verification for autonomous systems with timing uncertainties. His educational background includes a PhD from UNC Chapel Hill (2023), an M.Sc. from Chennai Mathematical Institute, and a B.Sc. (First Class First with Gold Medal) from Ramakrishna Mission Vidyamandira. PhD in Computer Science (UNC Chapel Hill, 2023) M.Sc. in Computer Science (Chennai Mathematical Institute, 2016) B.Sc. (First Class First with Gold Medal) in Computer Science (Ramakrishna Mission Vidyamandira, 2014) His research spans Artificial Intelligence, Autonomous Vehicles, Deep Learning, Embedded Systems, Robotics, and Cyber-Physical Systems , with a focus on statistical verification methods and safety-aware scheduling. Recent publications analyze neural architecture sizing, GPU partitioning, and uncertainty-aware monitoring in autonomous systems. Scientific awards include the Chateaubriand Fellowship (2021), Best Presentation Award at ACM SIGBED (2022), and Best Paper Candidate at RTCSA (2022). He previously worked as a research intern at Tata Research Labs and software developer at Oracle.

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Maria VirvouView profile

Professor

University of PiraeusGreece

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

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Aysegul Liman-KabanView profile

Assistant Professor

University of LimerickIreland

Aysegul Liman-Kaban serves as an Assistant Professor in ICT/Digital Learning STEM Education at Maynooth University. Her work focuses on integrating immersive technologies like augmented reality, gamification, and AI into educational practices. She actively supervises PhD students and leads international research projects such as MIXAP-EU and From AI Anxiety to Empowerment. Education: Not explicitly stated in provided text Her research interests span: Immersive learning technologies (AR/XR, digital escape games) AI in education and generative AI applications Teacher digital competencies and professional development Flipped learning and multimedia pedagogy Ethical challenges in AI research Blended learning practices Recent publications demonstrate a focus on gamification, mixed reality, and AI applications in education, with methodological expertise in structural equation modeling, mixed methods research, and task-based learning analysis. She contributes to journals like Smart Learning Environments and Higher Education Quarterly . Key activities include: Organizing international conferences on STEAM education Leading EU-funded research on immersive learning tools Developing open-source educational technologies Pioneering generative AI integration frameworks

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Tamara MooreView profile

Professor

Purdue UniversityUnited States

Tamara Moore is a Professor of Engineering Education at Purdue University, holding the title of Purdue University Faculty Scholar . She is affiliated with the School of Engineering Education , part of Purdue's College of Engineering. Her research focuses on integrating engineering principles into K-12 and higher education curricula to enhance STEM learning through computational thinking, systems thinking, and interdisciplinary approaches. Education: Ph.D., Engineering Education, Purdue University M.S.Ed., Mathematics Education, Purdue University B.S.E., Interdisciplinary Engineering, Purdue University B.S., Mathematics with minor in Mathematics Education, Purdue University Research Interests: Dr. Moore investigates how engineering methodologies (e.g., design thinking, systems analysis) can be used to improve mathematics and science education at all levels. She develops curricula and professional development programs for teachers, emphasizing STEM integration through projects like the STEM Road Map and Engineering Design-Based Curricula . Her work explores computational thinking in early childhood, microelectronics education, and the use of evidence-based reasoning in student projects. Key Contributions: Authored the STEM Road Map framework for K-12 integrated education Developed curricula like Turn the Lights On! and Mineral Mayhem Conducted studies on microelectronics awareness and systems thinking in synthetic biology Advocated for inclusive computational thinking education in early childhood Awards: Purdue University Faculty Scholar (current) Lab & Teams: Her research is conducted from the WANG 3514 Lab , focusing on teacher professional development, student learning trajectories, and curriculum design. Collaborates with interdisciplinary teams on NSF-funded projects like EngrTEAMS: Engineering to Transform the Education of Analysis, Measurement, and Science .

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Christopher HlasView profile

Professor

University of Wisconsin-Eau ClaireUnited States

Dr. Christopher S. Hlas is a Professor of Mathematics Education at the University of Wisconsin-Eau Claire within the College of Arts and Sciences Department of Mathematics. With a doctorate from the University of Iowa, he specializes in mathematics pedagogy, technology integration, and cross-disciplinary connections between math and foreign languages. Ph.D. in Mathematics Education (University of Iowa, 2005) B.S. in Mathematics and Computer Science (University of Iowa, 2001) His research focuses on teaching through problem solving , student motivation , and technology-enhanced mathematics instruction . He has developed innovative formative assessment probes and conducted extensive studies on homework design, flow theory, and creativity in K-12 education through grants like the ESEA Title II Mathematics and Science Partnerships. His work spans curriculum development, professional development for teachers, and mathematical modeling. Recent publications highlight his exploration of creativity assessment in language education and the application of game mechanics to classroom engagement. He serves as an AP Calculus Reader and Table Leader, while maintaining active roles in the Wisconsin Mathematics Council and National Council of Teachers of Mathematics. Bilingual education initiatives GeoGebra integration in geometry instruction Formative assessment frameworks Game-based learning strategies Scientific Awards CARE Award (2015) ACTFL Research Priority Grant (2010) Multiple teaching scholarships UWEC student-nominated award (2007) Outstanding teaching assistant recognition (2004) Mentoring over a dozen student research projects and securing more than $4 million in federal and state grant funding, Dr. Hlas has supervised numerous collaborative research initiatives. He maintains open-source educational tools like interactive Pascal's Triangle and rational functions resources at math.hlasnet.com while serving on multiple university committees and grant review panels.

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Mark HooverView profile

Lecturer

University of Michigan-Ann ArborUnited States

Mark Hoover is an Associate Research Scientist and Intermittent Lecturer at the University of Michigan's Marsal Family School of Education, Department of Mathematics Education. His work focuses on disrupting systemic educational inequities through mathematics teaching and teacher professionalization, emphasizing social justice and ethical pedagogy. He draws inspiration from civil rights activist Robert Moses and education researcher Deborah Ball, whose collaborations are highlighted in his research. Hoover has held roles in both research and teaching, contributing to the development of practice-based approaches to studying teaching demands and advocating for curricula that promote civic participation. His research bridges mathematics content and pedagogy, exploring how teaching practices can address historical injustices embedded in educational systems. Research Interests: Equity in STEM education, mathematical knowledge for teaching (MKT), teacher professionalization, curriculum development, assessment design, and the intersection of mathematics education with social justice movements. He critiques oppressive educational standards and accountability systems while investigating how teaching can be reimagined to center justice. His work also explores the role of mathematicians in shaping mathematics education and the importance of tasks for assessing teaching proficiency. His scholarly output reflects a sustained engagement with equity and justice, analyzing classroom practices and teacher education through critical frameworks. Recent publications emphasize collaborative research initiatives (e.g., TWG19) and the moral dimensions of pedagogy. Grants: Recipient of the Communicating Mathematically Across Difference in the Work of Teaching Award (2018-2025). Advising: No formal advisees listed in provided materials, but his work supports professional learning communities across disciplines. Hoover is affiliated with the Connected Mathematics Project, contributing to curriculum development and its impact assessment. His contributions span both research and practical teaching, aiming to create inclusive and just educational environments.

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Eva GlasmachersView profile

Lecturer

Ruhr University BochumGermany

Eva Glasmachers is a Lecturer and Managing Director of the Faculty of Mathematics at Ruhr University Bochum. She holds a PhD in Differential Geometry (2010) and has been actively involved in academic leadership since 2008. Her roles include student advising, curriculum development, and managing faculty operations. Her research focuses on university-level mathematics education, emphasizing interactive teaching methods, digital learning tools (e.g., STACK), and student motivation strategies. She leads projects like VORsprung for digital study preparation and trains tutorial group instructors. She is a founding member of HDM@RUB (Center for Higher Mathematics Education) and serves on the Ruhr University Senate and the Excellence Network for Teaching. Notable publications include works on gamification in education, adaptive learning systems, and dropout prevention strategies. She collaborates extensively with educational technology centers and contributes to national didactics conferences.

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Andreas J. KasslerView profile

Professor

Karlstad UniversitySweden

Andreas J. Kassler is a Full Professor of Computer Science at Karlstad University, Sweden, where he has been since 2005. He co-chairs the Distributed Systems and Communication (DISCO) group and focuses on networking, cloud computing, and wireless networks. His research includes software-defined networking, future internet architectures, and network optimization. He has authored/co-authored over 130 peer-reviewed publications, holds 6 patents, and serves on editorial boards of journals like Journal of Internet Engineering . Education : Ph.D. in Computer Science, Universität Ulm (2002) Docent (Habilitation), Karlstad University (2007) M.Sc. in Mathematics/Computer Science, Universität Augsburg (1995) Research Interests : Software Defined Networking (SDN) Programmable Dataplanes Wireless Mesh Networks Time-Sensitive Networking (TSN) Edge Computing Machine Learning for Network Optimization Recent Directions : His work spans TSN scheduling, hybrid P4 solutions for 5G, and explainable AI in energy communities. He explores network resilience, latency optimization, and multi-objective control in microgrids. Service Contributions : Track co-chair for VTC 2015 General chair for Wired/Wireless Internet Communications (WWIC) 2013 Editor-in-Chief of IARIA Journal on Advances in Internet Technology Labs/Teams : Leads DISCO group at Karlstad University. Collaborates with global teams on projects like mmWave backhaul networks and SDN-enabled industrial control systems.

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Sarah Dégallier RochatView profile

Professor

Bern University of Applied SciencesSwitzerland

Prof. Dr. Sarah Dégallier Rochat is Head of the strategic thematic field 'Humane Digital Transformation' at Bern University of Applied Sciences (BFH). She holds a joint appointment as Professor at the School of Engineering and Computer Science and serves as co-leader of the Computer Perception and Virtual Reality Lab (cpvrLab) within the Institute for Human-Centered Engineering. Her educational background includes: Ph.D. in Robotics from École Polytechnique Fédérale de Lausanne (EPFL) Master's in Mathematics from EPFL Teaching Diploma in Mathematics from Haute École Pédagogique de Lausanne Psychology studies at University of Lausanne Her research focuses on human-centered technological development with emphasis on: Designing inclusive human-machine interfaces through participatory approaches Developing upskilling strategies for industrial workforce adaptation Examining how techno-narratives shape societal perceptions of technology Creating collaborative robotic systems for agile manufacturing (Cobotics) Exploring mixed reality interfaces for worker augmentation Her publications demonstrate strong interdisciplinary focus on robotics and human-centered AI, with recent works exploring human augmentation in industry, ethical AI implementation, and participatory robot programming. The trajectory shows increasing emphasis on socio-technical systems and workforce empowerment. Significant awards include: Industry 4.0 Shapers Award (2019) CHIRA Best Paper Award (2023) She leads multiple research projects funded by Innosuisse, SNF, and EU programs, including: CODIMAN (Cobotics and workplace humanization) Agile Robotics for High-Mix Low-Volume Production Upskill at Work (digital literacy initiatives) Augmented workers with mixed reality interfaces As founder of Auto-Mate Robotics, she develops flexible robotic cells for industrial applications. She co-leads the Computer Perception and VR Lab and serves on advisory boards including the Swiss Cobotics Competence Center and EUA Task Force on AI.

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Barbara Sophie Hänel-FaulhaberView profile

Professor

University of HamburgGermany

Prof. Dr. Barbara Sophie Hänel-Faulhaber is a Professor at the University of Hamburg’s Faculty of Education , specializing in German Sign Language (DGS) and audiopedagogy . Her research focuses on language acquisition and processing in DGS , particularly among deaf children and inclusive educational settings . She leads the Deafness, Language and Learning Lab (D2L) and contributes to the faculty’s core research area Literacy in Diversity Settings . Education: Dr. phil. in Sign Languages (University of Hamburg, 1999–2003) Magister Artium in Sign Languages, Linguistics (University of Hamburg, 1996–1999) Double Degree in Deaf Education, Elementary Education (LMU Munich, 1992–1996) Her work examines bimodal-bilingual education , iconicity in early sign learning , and structural conditions in inclusive daycare centers . She develops diagnostic tools like the DGS-Version of MBK 0 for assessing numerical competencies in deaf children. Current projects include Coactivation of Difference (2023–2026) and Sign4Inclusion (Math) (2023–2024). Scientific Awards: Institutional Prize for German Language 2023 Heinrich Böll Stiftung Promotionsstipendium (1999–2003) Wilhelm-Stiftung Post Doc Fellowship (2005) She collaborates with institutions like the Institute of German Sign Language and Deaf Communication and the Graduate School Martha Muchow , with recent publications spanning sign language diagnostics , inclusive pedagogy , and cross-modal literacy studies .

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