Find Academic Supervisors

• Quality Inspection and Control
• Predictive Modeling
• Smart Manufacturing Systems
• +3 more

Dr. Yu (Chelsea) Jin is an Assistant Professor in the Department of Industrial Engineering at the University at Buffalo, specializing in quality inspection, predictive modeling, and data analytics for advanced manufacturing systems. She holds a PhD in Industrial Engineering from the University of Arkansas, an ME from the University of Michigan, and dual BS degrees in Network Engineering and Finance from Jinan University. Her research focuses on integrating machine learning and physics-based models to optimize manufacturing processes, such as additive manufacturing, PCB assembly, and pharmaceutical distribution systems. She has developed frameworks like ReflowNet for reflow oven optimization and physics-informed neural networks for thermal profile prediction. Her work emphasizes both theoretical advancements and practical applications in smart manufacturing and healthcare logistics. Dr. Jin's recent publications highlight contributions to generative AI for knowledge retrieval, AGV system optimization, and multi-source transfer learning for pandemic modeling. She actively collaborates with industry partners to bridge academic research and real-world manufacturing challenges.

• Gravitational Physics
• General Relativity
• Gravitational-Wave Astrophysics
• +4 more

Alessandra Buonanno is a Research Professor at the University of Maryland, College Park, and Director at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam. Her primary affiliation is with the Department of Physics at UMD, and she holds honorary professorships at Humboldt University and Potsdam University. She leads the Astrophysical and Cosmological Relativity department at the Max Planck Institute. Education: PhD in Physics from the University of Pisa (1996), following a Master's in Physics (Laurea, 1993). Postdoctoral work included stints at the Institut des Hautes Études Scientifiques (France), Caltech, and CNRS institutes in Paris. Research focuses on gravitational physics, including theoretical and phenomenological aspects of gravitational waves, general relativity, and astrophysical applications. She contributed to the LIGO Scientific Collaboration's groundbreaking detection of gravitational waves, earning numerous accolades such as the Balzan Prize (2021), Dirac Medal (2021), and Gottfried Wilhelm Leibniz Prize (2018). Publications emphasize high-field superconducting magnets for particle colliders, quantum gravity, and gravitational wave modeling. She leads projects like the Muon Collider's magnet design and coordinates international collaborations in particle physics and cosmology. Awards include the European Research Council's Synergy Grant (2024), Oskar Klein Medal (2023), and membership in prestigious academies like the US National Academy of Sciences and Leopoldina. Service roles include roles on the Kavli Prize Committee, the LISA Consortium Board, and the European Space Agency's Voyage 2050 committee. She is a Principal Investigator for the LIGO collaboration and actively contributes to advancing quantum-resistant cryptography and superconducting technologies.

David LavertyView profile

Professor

• Smart Grids
• Cyber Security
• Power Systems
• +3 more

Dr. David Laverty is a Reader at Queen’s University Belfast in the School of Electronics, Electrical Engineering and Computer Science. His research focuses on Smart Grids, Cyber Security of Critical Infrastructure, and Power System Instrumentation. He is the founder of the OpenPMU project, an open-source Phasor Measurement Unit, and has contributed to advancements in precision time transfer and software-defined networking in power systems. Dr. Laverty has secured over £3M in research funding and holds an h-index of 22 with over 100 publications. He actively supervises PhD students in areas such as smart grid telecommunications, distributed energy resources, and secure information systems. His work aligns with UN Sustainable Development Goals, particularly in clean energy and infrastructure. Awards include the 2017 Premium Award for Best Paper in IET Generation, Transmission & Distribution and the 2022 BEST PAPER AWARD. His research projects, such as the Fusion/Electricity Exchange DAC, address challenges in smart grid infrastructure and cyber-physical systems. Dr. Laverty also engages in public outreach through initiatives like the Electric DeLorean project.

• Quantum Computing
• Atomic Physics
• Quantum Information Science
• +3 more

Jacob Paul Covey serves as an Assistant Professor in the Department of Physics and the Materials Research Lab at the University of Illinois Urbana-Champaign. His academic role involves conducting cutting-edge research in quantum information science and mentoring students in atomic physics and quantum computing. Research interests span quantum computing, atomic physics, quantum information science, quantum simulation, Rydberg atoms, and optical lattices. Covey specializes in neutral-atom platforms using ytterbium-171 for quantum information processing, investigating Dicke superradiance, quantum walks, and flat-band physics in Rydberg lattices to overcome scalability challenges in quantum computers. Analysis of recent publications reveals a concentrated focus on neutral-atom quantum computing architectures. Key contributions include two-qubit encoding schemes for ytterbium atoms, quantum network designs with atom processing nodes, and studies of correlated dynamics in synthetic Rydberg lattices, advancing qubit connectivity, error correction, and quantum simulation capabilities. Dr. Covey has received prestigious recognition: NSF CAREER Award (2024) ONR Young Investigator Award (2022) U.S. DOE Early Career Research Program Award (2024) While specific students aren't listed in the provided text, his active research program funded by major federal grants supports graduate students and postdoctoral researchers. These NSF, ONR, and DOE grants provide substantial resources for experimental quantum computing development. Prof. Covey's laboratory operates within the Materials Research Lab, an interdisciplinary research center at UIUC. His team collaborates extensively with quantum information and atomic physics experts, as evidenced by multi-institutional co-authorships, focusing on ytterbium-based quantum processors and many-body quantum phenomena.

Susan LandView profile

Professor

• Learning Sciences
• Educational Technology
• Instructional Design
• +7 more

Susan Land is a Professor of Education and the Associate Dean of Undergraduate and Graduate Education in the Learning, Design, and Technology Program at Penn State University's College of Education. She also serves as the Head of the Department of Learning & Performance Systems. Dr. Land earned her doctorate in Instructional Systems from The Florida State University under Dr. Michael Hannafin. Prior to Penn State, she was a postdoctoral fellow at the University of Georgia's Learning and Performance Support Laboratory and faculty at the University of Oklahoma's Instructional Psychology and Technology Program. Earlier, she worked on instructional design projects with the U.S. Air Force Academy, Citibank, and Hewlett Packard. Her research emphasizes frameworks for technology-enhanced learning environments, particularly focusing on how learners meaningfully engage with technology in student-centered contexts. She has published over 60 manuscripts and co-edited two editions of Theoretical Foundations of Learning Environments with Dr. David Jonassen, which has been reprinted repeatedly, translated into Korean, and achieved notable sales in the Instructional Technology field. Her recent publications demonstrate a clear trajectory toward mobile, context-sensitive learning in outdoor environments using proximity-based technologies like iBeacons. These studies examine children's scientific observations in arboretums, sense-making conversations in botanical gardens, and knowledge sharing in online affinity spaces, revealing patterns in how technology mediates learning experiences across different contexts. Young Scholar Award from Association for Educational Computing and Technology (AECT) Outstanding Article of the Year Award from AECT 2015 SIG-IT Best Paper Award from American Educational Research Association (AERA) Top 10 most-published/frequently-cited authors in Educational Technology Research & Development College of Education 2016 Outstanding Teaching Award Dr. Land advises graduate students and collaborates extensively with researchers including Heather Zimmerman, Priya Sharma, and Chris Millet. Her NSF-funded research with Zimmerman examines how proximity-based computing supports children's scientific sense-making in outdoor environments. She leads the Augmented and Mobile Learning Research Group, which investigates context-sensitive, place-based learning using mobile technologies and augmented reality. Her research has been supported by multiple grants from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), and Penn State's Center for Online Innovation in Learning (COIL). Current projects include developing the Penn State Places platform for creating iBeacon-triggered content in public spaces, with applications in arboretums, children's gardens, and community engagement initiatives.

• Artificial Intelligence
• Explainable AI (XAI)
• Green AI
• +12 more

Dr Andrew Starkey is a Reader in the School of Engineering at the University of Aberdeen, where he also completed his PhD in 2001. He holds an Honours degree in Applied Mathematics from the University of St Andrews. He is actively involved in research and currently accepting PhD students in Engineering. His work bridges academia and industry, with a focus on AI applications in engineering, bioinformatics, and geosciences. University: University of Aberdeen School: School of Engineering Academic Rank: Reader Email: a.starkey@abdn.ac.uk Phone: +44 (0)1224 272801 Dr Starkey's research centers on Explainable AI (XAI) , Green AI , and Autonomous AI , with applications in robotics, econometrics, bioinformatics, seismic data analysis, and virtual reality. He has developed novel methods for feature selection, autonomous learning, and knowledge abstraction from agent-environment interactions. His work emphasizes low computational cost and transparency in AI systems. The most recent publications reflect a strong trend in applying AI to complex real-world problems, including digital rock technology, robotic grasping, real-time event detection, and medical data analysis. His interdisciplinary research combines machine learning with domain-specific knowledge in engineering and life sciences, often resulting in practical, industry-ready solutions. Millennium Product Award John Logie Baird Award for Innovation Enterprise Fellowship from Royal Society of Edinburgh and Scottish Enterprise Dr Starkey has supervised multiple research projects and secured funding from major bodies including EPSRC, BBSRC, and industry partners. His past work on the GRANIT project led to the development of AI-based condition monitoring for ground anchorages, resulting in commercialization through BlueFlow Ltd. He has collaborated with researchers across disciplines, including Dr Alasdair MacKenzie (bioinformatics), Dr Anne Schwab (seismic analysis), and Dr David Hazlerigg (genomics). He leads research in AI-driven engineering solutions and is the CEO of BlueFlow Ltd, a spinout company commercializing AI technologies developed at the University of Aberdeen. His lab focuses on developing autonomous, explainable, and environmentally sustainable AI systems for real-world deployment.

• Digital Circuits and Systems
• Energy-Efficient Circuits and Systems
• Embedded Systems
• +7 more

Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)

• Theoretical Condensed Matter Physics
• Quantum Impurities
• Kondo Effect
• +7 more

Izak Snyman is an Associate Professor in the School of Physics at the University of the Witwatersrand (Wits), where he conducts theoretical research in condensed matter physics. He holds a PhD from Leiden University and has established a strong publication record in quantum many-body systems and quantum transport. Research Interests: His work focuses on theoretical aspects of quantum impurities, the Kondo effect, Josephson junctions, and quantum transport in nanoscale systems such as graphene and carbon nanotubes. He also explores connections to circuit quantum electrodynamics and quantum information platforms. His recent publications (2019–2025) highlight a shift toward integrating theoretical models with experimental quantum devices, particularly in superconducting circuits, where quantum fluctuations and many-body effects are observed. Themes include Kondo physics, screening clouds, topological junctions, and bosonization techniques. Scientific Contributions: While no specific awards are listed, his consistent publication in high-impact journals such as Physical Review Letters , Physical Review B , and Nature Communications underscores his influence in theoretical condensed matter physics. Advising and Grants: The provided text does not mention any students, grants, or funding sources. However, his long-standing research activity since 2004 suggests sustained academic engagement and likely mentorship and grant involvement. Labs and Research Groups: No specific lab or team is mentioned in the text. Given his focus on theoretical physics, he likely leads or contributes to a theoretical research group within the School of Physics at Wits, possibly collaborating with experimentalists in quantum device physics.

Óscar Andrey Herrera SanchoView profile

Professor

• Quantum Optics
• Quantum Biology
• Quantum Metrology
• +7 more

Óscar Andrey Herrera Sancho is a Full Professor at the University of Costa Rica and a researcher at the Atomic, Nuclear and Molecular Sciences Research Center. He holds a PhD in Physics from Leibniz University Hannover and has held roles including Head of the Physical Metrology Department at the National Metrology Institute of Costa Rica. His research spans Quantum Optics, Quantum Biology, Surface Physics, and Educational Physics, with interdisciplinary work in art conservation, biophysics, and cultural heritage science. Education: Postdoc Fellowship, Institute for Quantum Optics and Quantum Information, University of Innsbruck (2016) PhD in Physics, Leibniz University Hannover (2012) M.Sc. in Physics, University of Costa Rica (2008) B.Sc. in Physics, University of Costa Rica (2003) Research Interests: His work bridges quantum physics with cultural heritage preservation, including material analysis of historical artifacts, fungal biodeterioration studies, and pedagogical innovations linking literature and science. He also investigates surface physics phenomena relevant to astrophysical ice transitions and quantum gas systems. Scientific Awards: Alexander von Humboldt Foundation Fellow Advising & Grants: While specific grants are not listed, his extensive co-authorship network and leadership roles indicate active collaboration in interdisciplinary research. His work on cultural heritage has involved student teams in material analysis and software development for artifact preservation. Labs & Teams: Leads the Spatially Resolved Ultracold Rydberg Physics group at the 5th Institute of Physics, focusing on quantum systems and their applications in precision measurement and cultural heritage science.

• Cybersecurity
• Privacy
• Industrial Networks
• +7 more

Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.

Elizabeth M.Y. LeeView profile

Assistant Professor

• Materials Science
• Quantum Technologies
• Energy Sustainability
• +3 more

Elizabeth (Liza) Lee is an Assistant Professor at the Samueli School of Engineering , University of California, Irvine (UCI), with joint appointments in Materials Science and Engineering and Chemical and Biomolecular Engineering . Her research program focuses on theory and computational modeling of materials formation, breakdown, and transport to design sustainable solutions for quantum and energy technologies. Ph.D. , MIT, Chemical Engineering M.S. , MIT, Chemical Engineering Practice B.S./B.A. , Johns Hopkins University, Chemical and Biomolecular Engineering and Chemistry Lee’s research bridges ab initio calculations , machine learning , and molecular simulations to study functional materials. Key areas include catalytic plastic waste deconstruction , quantum defects in semiconductors , and computational method development using statistical mechanics and machine learning. Her work has implications for sustainable synthesis , quantum information science , and energy technologies . Her recent publications (2025–2024) span nanostructure modeling , electrocatalysis , machine learning in materials science , and solid-state electrolytes , reflecting her interdisciplinary approach. Notable awards include the NSF CAREER Award , UCI Samueli Faculty Development Chair , and DOE ASCR Leadership Computing Challenge Award . NSF CAREER Award UCI Samueli Faculty Development Chair DOE ASCR Leadership Computing Challenge Award NSF Graduate Research Fellowship AIChE Electronics and Photonics Materials Award UCI Engineering Student Council’s Professor of the Year Award Maria Lastra Postdoctoral Mentor Award

• Industry 4.0
• Internet of Things (IoT)
• OT/IT Integration
• +4 more

Prof. Dennis Kolberg serves as Professor of Industrial Engineering at Lübeck University of Applied Sciences, holding dual leadership roles as Head of Industrial Engineering Bachelor/Master programs and Head of the Institute for Entrepreneurship and Business Development (IEBD). His career uniquely bridges academic research and industry implementation, with recent executive experience as Chief Product Officer at DIGIMONDO (2020-2023) and co-founding SPARETECH (2019). M.Sc. Industrial Engineering, University of Bremen (2007-2014) Ph.D. in Industrial Engineering, Technical University of Kaiserslautern (2014-2018) focusing on Industry 4.0 and Lean Management Vocational Training as Industrial Clerk, RK Rose+Krieger (2004-2007) His research pioneers the integration of lean production methodologies with digital technologies , specializing in Industry 4.0 implementation and OT/IT convergence for manufacturing environments. Key contributions include developing reference architectures for cyber-physical production systems and optimizing human-machine interfaces through lean automation principles. Current work emphasizes digital transformation in B2B contexts , particularly for software startups in industrial settings. Publications from 2015-2022 reveal a consistent trajectory from foundational CPS architectures toward applied IoT solutions, with recent focus on digital twins for production optimization. His work consistently bridges theoretical frameworks and practical implementation , demonstrating how lean principles enhance digital transformation outcomes in manufacturing. Kolberg actively supervises bachelor's and master's theses at Lübeck University of Applied Sciences, with students registering via email for thesis topics. His industry background informs practical research directions, though specific grant funding isn't detailed in available sources. As IEBD Director, he drives academic-industry partnerships focused on digital entrepreneurship. Leading the Institute for Entrepreneurship and Business Development, Kolberg oversees initiatives connecting academic research with business development in digital manufacturing. Previously at DFKI's SmartFactory KL, he directed research on changeable cyber-physical production systems, establishing methodologies now applied in his current industry collaborations.

• Fluid Power Engineering
• Hydraulic Systems
• Tribology
• +4 more

Prof. Dr.-Ing. Katharina Schmitz serves as Institute Director and Vice Dean at the Institute for Fluid Power Drives and Systems, RWTH Aachen University. Her leadership within the Production Technology Cluster and extensive contributions to fluid power engineering establish her as a leading authority in mechanical engineering research and education. Her research spans fluid power systems, hydraulic component design, tribology, and physics-informed machine learning applications. She pioneers sustainable propulsion solutions through bio-hybrid fuels research while addressing fundamental challenges in polymer material behavior under hydraulic stresses. Current work focuses on carbon-neutral heavy-duty transportation, physics-based neural networks for lubrication modeling, and advanced control systems for electro-hydraulic actuators. Analysis of her 15 most recent publications reveals a dominant trend toward integrating physics-based modeling with deep learning to solve complex engineering problems. Her team consistently develops novel frameworks for cavitation prediction, flow rate determination, and material compatibility assessment - significantly advancing fluid power system reliability, efficiency, and digitalization. Scientific recognition includes: GfT Förderpreis 2023 for experimental and simulative investigation of partially hydrostatic relieved contacts in variable speed axial piston machines As head of the Institute for Fluid Power Drives and Systems, she leads cutting-edge research in sustainable fluid power technologies. The institute maintains strong industry partnerships while driving innovation in hydraulic component design, digital twins for condition monitoring, and next-generation propulsion systems through its position within RWTH Aachen's Production Technology Cluster.

• Materials Science
• Nanotechnology
• Chemical Engineering
• +5 more

Aumber Abbas is a researcher at Newcastle University specializing in advanced materials for sustainable energy and environmental applications. His work spans nanotechnology, catalysis, and biomass conversion, with significant contributions to carbon-based nanomaterials and electrochemical systems development. His research focuses on synthesizing graphene quantum dots from biomass waste for environmental sensing and remediation applications, developing catalytic processes for CO 2 utilization and cyclic carbonate production, and engineering electrochemical systems including vanadium redox flow batteries. Recent work emphasizes waste-derived functional materials for optical security, anti-counterfeiting, and wastewater treatment through nanoporous catalyst design and plasma-based tar removal technologies. Analysis of recent publications (2024-2025) reveals a dominant trend in sustainable nanomaterial engineering, particularly biomass-waste-derived carbon structures with tailored optical and catalytic properties. His work integrates experimental validation with simulation approaches to address energy storage, environmental remediation, and security applications, demonstrating strong interdisciplinary collaboration within Newcastle's engineering research community.

• Game Theory
• Control Theory
• Cybersecurity
• +5 more

Kim Hammar is a postdoctoral researcher at KTH Royal Institute of Technology, with affiliations at the University of Melbourne (2025-2028) and Imperial College London. He works under Prof. Tansu Alpcan and Prof. Emil Lupu, focusing on the intersection of game theory, control theory, and large-scale systems for networking and security applications. Previously, he completed his Ph.D. at KTH under Prof. Rolf Stadler and Prof. Pontus Johnson. His research spans cybersecurity, networked systems, and adaptive control mechanisms. Key contributions include applying optimal stopping reinforcement learning conjectural online learning causal modeling to intrusion response and network security. His 2025-2024 publications highlight advancements in automated security through game-theoretic and control-theoretic approaches, with a focus on dynamic environments. Kim received the VR International Postdoctoral Fellowship in 2025. He has served as an assistant for Computer Networks (EP111U) Computer Systems (EP121U) at KTH.