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Eythan LevyView profile

Research Fellow

• Computational Archaeology
• Ancient Chronology
• Northwest Semitic Epigraphy
• +3 more

Eythan Levy serves as Senior Assistant in Digital Archaeology at the University of Zurich's Institute of Classical Archaeology within the Faculty of Arts and Social Sciences. Previously, he led an SNSF SPARK project at the University of Bern (2024) and conducted postdoctoral research on stamp seals from the Southern Levant (2022-2023). His research interests focus on computational approaches to archaeological problems, particularly: Computer applications and quantitative methods in archaeology Ancient chronology of the Iron Age Levant Northwest Semitic epigraphy and paleography Archaeology of the Southern Levant Ancient Egyptian archaeology and epigraphy His work bridges computer science and archaeology through innovative methodological frameworks. Levy's publication trends demonstrate consistent interdisciplinary output combining computational methods with archaeological analysis. Recent work focuses on chronological modeling tools, epigraphic analysis of Hebrew seals, multispectral imaging of ostraca, and computational approaches to ceramic typology. His research shows strong emphasis on developing formalized schemes for synchronizing archaeological data and creating specialized software solutions. Levy has developed several significant archaeological software tools : ChronoLog : For computer-assisted chronological modeling Scrypt : Web application for computer-assisted decipherment of ancient inscriptions TPQ Composer : For displaying stratigraphic termini post quem Artifacts Analyzer : For analyzing archaeological artifact datasets These tools represent his commitment to creating practical computational solutions for archaeological challenges. His academic background uniquely combines computer science and archaeology: PhD in Archaeology (Tel Aviv University, 2017-2021) PhD in Computer Science (Université Libre de Bruxelles, 2003-2009) Multiple MA degrees in Archaeology and Ancient Oriental Languages Teaching certificate for higher education This dual expertise enables his innovative approach to digital archaeology.

Shabnam Sadeghi EsfahlaniView profile

Associate Professor

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

Jim TørresenView profile

Professor

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +6 more

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

• Mathematical Logic
• Philosophical Logic
• Philosophy of Mathematics
• +3 more

Prof. Dr. Reinhard Kahle is a faculty member at the University of Tübingen in the Faculty of Philosophy . He holds the academic rank of Professor and his research focuses on Mathematical Logic , Philosophical Logic , Philosophy of Mathematics , and History of Logic . He also investigates the Societal Relevance of Science and Philosophy of Language . Education : Studium der Mathematik, Philosophie und Informatik in Göttingen, Zürich und München (1987-1993) Diplom in Mathematik, LMU München (1993) Promotion in Informatik, Universität Bern (1997) Habilitation in Informatik, Universität Tübingen (2007) Habilitation in Mathematik, Universidade de Coimbra (2008) Awards : Carl Friedrich von Weizsäcker-Stiftungsprofessor für Theorie und Geschichte der Wissenschaften, University of Tübingen (2019) Publications : Advances in Proof Theory (2016, co-editor) Gentzen's Centenary: The quest for consistency (2015, co-editor) Over 40 peer-reviewed journal articles and book chapters focusing on proof theory, mathematical logic, and philosophical implications of formal systems

• Embedded Systems
• Compilers
• Hardware-Software Co-Design
• +5 more

Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.

• Combinatorial Optimization
• Algorithmic Discrete Mathematics
• Routing and Scheduling
• +2 more

Britta Peis is a Professor of Management Science at RWTH Aachen University since September 2013. She studied Mathematics and Sports Sciences at the University of Cologne and German Sport University Cologne, respectively. Her academic journey includes positions at TU Dortmund (2006-2007), TU Berlin (2007-2010), and a visiting professorship at Otto-von-Guericke University Magdeburg (2010-2011). Her research focuses on Combinatorial Optimization , Algorithmic Discrete Mathematics , Routing and Scheduling , Robust Optimization , and Algorithmic Game Theory . Her work spans theoretical and applied domains, including network flow analysis, auction algorithms, and strategic decision-making in complex systems. Recent publications (2025-2024) highlight advancements in dynamic auction mechanisms, Stackelberg game formulations, and train routing algorithms. Earlier works (2022-2018) explore matroid theory, packet routing with priority lists, and sensitivity analysis in polymatroid optimization. Key trends include algorithmic design for competitive networks and robustness in time-dependent flows. She is affiliated with the Graduiertenkolleg UnRAVeL (Aachen Institute for Discrete Mathematics and Logic) and contributes to the Chair of Management Science's research agenda in combinatorial optimization and algorithmic game theory.

András GyenisView profile

Assistant Professor

• Quantum Engineering
• Superconductivity
• Quantum Computing
• +3 more

András Gyenis is an Assistant Professor in the Department of Electrical Engineering at the University of Colorado Boulder, specializing in photonics and quantum engineering. His research focuses on developing hybrid superconducting-semiconducting quantum devices to enhance qubit coherence times. Prior to CU Boulder, he held postdoctoral and visiting positions at Princeton University and the Niels Bohr Institute, focusing on superconducting quantum circuits and topological materials. Education: PhD in Physics (2016, Princeton University), MS/BS in Experimental Condensed Matter Physics (Budapest University of Technology, Hungary). His work bridges quantum material science and quantum information science, emphasizing noise-protected qubit architectures and novel material platforms. Research Interests: Hybrid quantum devices, topological materials, superconducting circuits, coherence time extension, and cryogenic electronics. His lab creates qubits with intrinsic protection mechanisms to counteract environmental noise, advancing scalable quantum computing. Selected Articles: Recent work includes symplectic geometry in quantum circuits (2024), supercurrent reversal in nanowires (2023), and protected qubit designs (2021–2022). These studies explore material integration, dynamical sweet spots, and noise mitigation strategies. Labs/Teams: The Gyenis Lab at CU Boulder develops hybrid qubits and semiconductor-based quantum devices. They seek graduate/undergraduate students for experimental and theoretical contributions.

Setareh BehrooziView profile

Teaching Professor

• Approximate Computing
• Energy Efficiency in Computing
• Hardware-Software Co-Design
• +3 more

Setareh Behroozi is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin–Madison. Her research focuses on energy-efficient computing, approximate hardware techniques, and hardware-software co-design for embedded systems and neural networks. She obtained her Ph.D. from the University of Wisconsin–Madison in 2022, an M.S. from Sharif University of Technology in 2015, and a B.S. from Iran University of Science and Technology in 2013. Her publications emphasize scalable solutions for energy-quality tradeoffs in computing systems, including approximate dividers, neural network accelerators, and sensing hardware. These works aim to optimize energy efficiency without compromising critical system performance. Recent trends in her research include virtualizing nonlinear operations in neural networks and scheduling iterative hardware units for efficiency. She has contributed to both academic and applied aspects of low-power computing and embedded systems design. Behroozi’s work bridges theoretical computer architecture with practical hardware implementations, addressing challenges in modern computing systems through innovative approximate computing techniques. She is actively involved in teaching and curriculum development within the Electrical and Computer Engineering department at UW-Madison.

Sarah S. LamView profile

Professor

• System modeling
• Simulation
• Business analytics
• +9 more

Sarah S. Lam is a Professor of Industrial and Systems Engineering and serves as Graduate Director at the School of Systems Science and Industrial Engineering, Binghamton University. She also holds the role of Assistant Director for Systems Analysis and Modeling at the Watson Institute for Systems Excellence. Her expertise spans system modeling, simulation, and optimization using computational intelligence techniques such as neural networks, meta-heuristics, fuzzy logic, and stochastic simulation. Education: MS from University of Delaware PhD from University of Pittsburgh Her research focuses on neural networks, evolutionary optimization, machine learning, and system modeling and optimization. She actively contributes to fields like business analytics, medical informatics, and health systems. Awards: Chancellor's Award for Excellence in Teaching (2012) Dr. Lam’s work integrates probability and statistical methods (design of experiments, regression, ANOVA, PCA) with innovative computational approaches to solve complex engineering and healthcare challenges.

• Nanotechnology
• Ferroelectric Materials
• 2D Materials
• +3 more

Wenjuan Zhu is an Associate Professor in the Department of Electrical and Computer Engineering, Materials Science and Engineering, and the Micro and Nanotechnology Lab at the University of Illinois at Urbana-Champaign. She holds the W.J. "Jerry" Sanders III - Advanced Micro Devices Inc. Scholar distinction and serves as Associate Head for Graduate Programs. Her research focuses on nanotechnology, ferroelectric materials, and semiconductor devices, particularly in 2D materials and their applications in electronics and reconfigurable logic circuits. Key research areas include van der Waals heterostructures, ferroelectric transistors, and high-temperature electronics. She has received prestigious awards such as the DARPA Young Faculty Award (2020), IBM Faculty Award (2018), and NSF CAREER Award (2017). Her work bridges fundamental materials science with device engineering, advancing next-generation electronic systems. Notable contributions include non-volatile reconfigurable transistors, wafer-scale MoTe₂ growth, and ferroelectric field-effect transistors. Her research emphasizes scalable synthesis methods and industrial applicability of 2D materials. Collaborations span global institutions, reflecting her impact in nanoelectronics and materials innovation.

Ion BarosanView profile

Assistant Professor

• Automotive Systems Engineering
• Model-Based Systems Engineering
• Functional Safety
• +9 more

Ion Barosan is an Assistant Professor at the Eindhoven University of Technology, affiliated with the College of Engineering and the Department of Software Engineering and Technology. His research focuses on automotive systems, digital twins, model-driven engineering, and human-machine interaction. Automotive Software and Computer Systems Engineering design (1/09/14 - 31/08/24) He actively contributes to the field of Model-Based Systems Engineering (MBSE) and participates in collaborative research on functional safety and vehicle automation. His work spans simulation environments, adaptation logic, and software platforms for automotive systems. Barosan's publications highlight trends in digital twins, autonomous vehicles, and systems engineering. His 2025 work on model-driven engineering for digital twins and 2024 contributions to MBSE frameworks underscore his focus on automotive systems and software architecture. He has contributed to datasets like 'Model-based simulation and threat analysis of in-vehicle networks' (2019) and teaches courses such as 'Automotive Software and Computer Systems' and 'Engineering Design'.

Rémy JacquemondView profile

Researcher

• Redox Flow Batteries
• Membrane Technology
• Materials Science
• +3 more

Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.

Dilum DissanayakeView profile

Associate Professor

• Transport Planning
• Human Geography
• Climate Change Mitigation
• +7 more

Dr. Dilum Dissanayake is an Associate Professor in Human Geography and Transportation Planning at the University of Birmingham's School of Geography, Earth and Environmental Sciences. She holds a PhD from Nagoya University, Japan, and has expertise in transport planning, data analysis, and behavioral change to mitigate climate change. Her research integrates computing, data mining, and behavioral sciences with a focus on sustainable mobility, smart infrastructure, and innovative transport solutions. Education: PhD (Transport Planning), Nagoya University, Japan MEng (Infrastructure Planning and Management), Asian Institute of Technology, Thailand BSc (Hons) (Civil Engineering), University of Moratuwa, Sri Lanka Diploma in Programming Research Interests: Travel demand modeling, electric/autonomous vehicles, behavioral change for sustainability, transport policy analysis (e.g., congestion pricing, telecommuting), and developing country transport challenges. She applies methods like discrete choice models, machine learning, and NLP. Awards & Grants: Co-Investigator in CLEETS (UK-Japan £10m project), Principal Investigator in Capitalisation and eHUBS (€392k/€412k EU projects). Notable awards include the 2022 Remarkable Women in Transport Award and Duo-India Fellowship. Advising & Grants: Supervises 6 current PhD students and has guided 10 completed PhDs. Leads Transport Demand Management in CLEETS and Transport Modelling in Capitalisation. Teaches modules like Sustainable Cities and One-Planet Thinking. Labs/Teams: Part of Birmingham's Sustainable Cities research group, leading projects on micro-mobility, EV adoption, and post-pandemic transport trends. Engages in international collaborations via CLEETS and eHUBS.

Michael FisherView profile

Professor

• Autonomous Systems
• Robotics
• Formal Verification
• +3 more

Michael Fisher is the Royal Academy of Engineering Chair in Emerging Technologies and Professor of Computer Science at the University of Manchester. He also holds an Honorary Professorship at the University of Liverpool (2020–2023). His research focuses on autonomous systems, formal verification, robotics ethics, and AI safety. Fisher leads projects such as the Centre for Robotic Autonomy in Demanding Environments (CRADLE) and contributes to IEEE standards for fail-safe autonomous systems. He is a Senior Associate Editor of the Annals of Mathematics and Artificial Intelligence and co-chair of the IEEE Verification of Autonomous Systems committee. His work integrates formal methods with robotics, emphasizing ethical reasoning and assurance in autonomous systems. Key research interests include temporal logic, model checking, and the verification of robotic decision-making. Fisher has received Best Paper Awards in 2018 and 2014, recognizing contributions to human-robot team validation and ethical reasoning frameworks. Fisher’s projects span space robotics, industrial automation, and safety-critical systems. He collaborates with industry partners like Amentum and advises the UK government on AI and robotics policy. His recent work explores neuro-symbolic AI integration and compositional verification for modular robotic systems.

Yufeng LiView profile

Researcher

• Category Theory
• Homotopy Type Theory
• Type Theory
• +3 more

Yufeng Li is a PhD student in the Department of Computer Science and Technology at the University of Cambridge , supervised by Marcelo Fiore and co-supervised by Krzysztof Kapulkin. Their research focuses on category theory and homotopy type theory , with publications in theoretical computer science and mathematical logic. Yufeng has taught undergraduate courses through supervisions, including Types , Semantics of Programming Languages , and Discrete Mathematics . They have presented work at venues such as the Geometry and Topology Seminar (University of Western Ontario, 2025) and HoTT/UF 2025 (Università di Genova). Key research outputs include foundational work on extensional concepts in type theory and logical structures in category theory.