جست‌وجوی استاد و پژوهشگر

• Software Testing
• Mutation Testing
• Distributed Real-Time Systems
• +۵ مورد دیگر

Birgitta Lindström is an Associate Professor of Informatics at the University of Skövde, Sweden, where she has been employed since 2000. She serves as Director of PhD education in Informatics since 2019 and leads the Distributed Real-Time Systems (DRTS) research group. Her academic home is within the School of Informatics, specifically the Department of Information Technology, where she teaches courses in software testing, concurrent programming, distributed systems, and software engineering experimentation. Lindström's research focuses on software testing methodologies, particularly mutation testing, testability analysis, and testing approaches for distributed real-time systems. Her work bridges theoretical foundations with practical applications in critical infrastructure protection, cybersecurity, and model-based testing. She has made significant contributions to understanding strong mutation theory, mutant subsumption, and efficient test set generation. Her recent publications reveal a growing emphasis on applying software testing principles to critical infrastructure systems, particularly smart grids and cyber-physical systems. The DOMINO project (2017-2025) represents her current focus on reducing the number of mutants needed for effective testing, while her earlier work in the ELVIRA (2017-2020) and TOCSYC (2013-2018) projects addressed testing of critical system characteristics including performance efficiency, robustness, and testability in complex embedded systems. Guldäpplet (Best Teacher Award) 2012 Lindström has supervised numerous BSc and MSc final year projects and served as examiner for various courses. Her research has been supported by substantial funding from sources including EU/ISF, KKS (30 MSEK for TOCSYC), and Vinnova (multiple projects totaling over 6.5 MSEK with matching from Saab Aeronautics). She has been instrumental in developing curriculum for computer science programs and establishing software testing education initiatives, including founding the TestEd workshop series focused on software testing education. As research leader of the DRTS group since 2015, she has fostered collaboration across institutions including Mälardalen University, Swedish Institute of Computer Science, Blekinge Institute of Technology, and Karlstad University. Her current DOMINO project continues this tradition of collaborative research addressing fundamental challenges in mutation testing efficiency.

Enrique Ruiz Zunigaمشاهده پروفایل

دانشیار

• Production Engineering
• Logistics Systems
• Robotics
• +۷ مورد دیگر

Enrique Ruiz Zuniga serves as Associate Professor in Production Engineering at the University of Skövde's School of Engineering Science in Sweden, while simultaneously holding a JSPS research fellowship at Kyoto University's Systems Design Laboratory and collaborating with Japan Manned Space Systems Corporation (JAMSS). His career bridges academic research and industrial applications across Europe and Asia, focusing on optimizing complex manufacturing and logistics systems through advanced computational methods. University of Skövde, School of Engineering Science JSPS Research Fellow, Kyoto University Japan Manned Space Systems Corporation (JAMSS) collaborator Dr. Ruiz Zuniga's educational background includes a B.Eng. in industrial engineering from the University of Malaga, Spain, a BSc in automation engineering from the University of Skövde, Sweden, followed by an MSc in industrial informatics and a 2020 PhD in informatics from the University of Skövde, completed in partnership with Xylem Water Solutions Manufacturing. His doctoral research focused on facility layout design using simulation-based optimization methodologies. His primary research interests encompass the design, verification, and improvement of logistics, robotics, and complex production systems, with methodological expertise in Lean Production, Discrete-Event Simulation, System Dynamics, Simulation-Based Optimization, and the Functional Resonance Analysis Method. Dr. Ruiz Zuniga's work demonstrates a consistent focus on international collaboration and practical implementation of theoretical models in real-world industrial settings across healthcare and manufacturing sectors. Analysis of his publication record reveals an evolution from foundational work in facility layout design toward more recent explorations of AI integration, human-centered design, and resilient production systems. His research shows increasing sophistication in combining simulation approaches with functional analysis methods, with a growing emphasis on human factors and system resilience in complex production environments. REFUSE (2023-2026): Resource efficient use of reconfigurable machining systems Dynamic SALSA (2023-2024): AI scheduling for assembly and logistics systems Envisioned world problems (2021-2023): Functional approaches for system design Emergency Department Modeling (2012-2016): Healthcare production systems Dr. Ruiz Zuniga has coordinated international engineering programs in Industrial Engineering, Product Design Engineering, and Mechanical Engineering (all 60 credits), while teaching courses including Introduction to Lean Philosophy, Methods Engineering, Mechatronics/Electronics, and Production and Logistic Simulation. His work demonstrates a strong commitment to bridging theoretical research with practical industrial applications in production engineering through international collaboration and methodological innovation.

• Formal Methods
• Model Checking
• Bisimulation
• +۹ مورد دیگر

Jeroen Keiren is an Assistant Professor in the Department of Computer Science at Eindhoven University of Technology (TU/e) , where he leads research in Formal Methods with a focus on Model Checking , Bisimulation , and Timed Systems . He is actively involved in the Formal System Analysis group , contributing to the development of techniques for verifying correctness in software and hardware systems. Education: Master's (2009) and PhD (2013) in Computer Science from TU/e Previous Roles: Postdoc at Vrije Universiteit Amsterdam (2013–2015), Assistant Professor at Open Universiteit (2015–2019) and University of Maryland (2016), Visiting Researcher at Radboud University (2015–2019), and Visiting Lecturer at TU Delft (2015–2019) His research emphasizes reducing model-checking complexity through bisimulation and parity games, with applications to industrial critical systems like UML state machines and medical devices. He is the principal investigator (PI) for projects in the Cordis SUITE framework. His work spans concurrent systems , parameterized models , and software/hardware verification . Recent publications highlight advancements in model-checking algorithms , timed modal logics , and industrial case studies (mechanical ventilators, packet networks). He contributes to the mCRL2 toolset and participates in industry-focused formal-methods initiatives. Committees: Chair of TU/e Computer Science Program Committee (2022–present), Secretary of Formal Methods Europe (FME) Industry Committee (2022–present), and roles in academic program and examination committees

Georgios Papadopoulosمشاهده پروفایل

استاد

• Statistical analysis of experiments in Agricultural sciences
• Statistical data analysis
• Reliability Theory
• +۶ مورد دیگر

Professor Georgios Papadopoulos is a faculty member at the Agricultural University of Athens , where he holds the rank of Professor and serves as the Director of the Institute of Experimental Design and Analysis . His academic career spans over three decades, with a strong focus on statistics, reliability theory, and data analysis in agricultural sciences. Education: Diploma in Mathematics, University of Thessaloniki, Department of Mathematics (1980) M.Sc. in Computer Science and Operations Research, University of Athens, Department of Mathematics (1982) Ph.D. in Reliability Theory, University of Athens, Department of Mathematics (1993) Research Interests: His research spans a wide range of areas including statistical analysis of agricultural experiments , reliability theory , quality control , chemometrics , biometrics , and web-based learning . He has applied statistical modeling to diverse fields such as food science, plant biology, environmental monitoring, and medical diagnostics. Publications and Impact: Professor Papadopoulos has authored or co-authored over 50 peer-reviewed publications, many of which are highly cited. His work includes foundational contributions to reliability systems, statistical methods in agricultural experimentation, and sensory analysis of food products. His recent work increasingly incorporates machine learning and neural networks for predictive modeling in agriculture and environmental science. Teaching and Mentorship: He teaches a wide array of courses including Statistics, Biometrics, Experimental Design, and Statistical Quality Control across multiple departments at the Agricultural University of Athens and the University of Athens. He has also organized and led training seminars and summer schools on experimental design and statistical software. Editorial and Academic Service: He serves as a reviewer for several high-impact journals including IEEE Transactions on Reliability , Communications in Statistics , and Agronomy . His Google Scholar profile indicates over 509 citations, reflecting his significant influence in the statistical and agricultural sciences communities.

• Abstract interpretation
• Termination analysis
• Formal languages
• +۱۳ مورد دیگر

James Emil Avery is an Associate Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research spans abstract interpretation, termination analysis, and quantum chemistry applications using Coulomb Sturmians. He actively contributes to program analysis, computational methods in physics, and discrete mathematics. Research areas: Formal languages, operator algebra, quantum theory, and computational nanoscience Academic activities: VILLUM Young Investigator Program (2017), Editor for IET Nanobiotechnology (2017-2021) Technical publications: 15+ works on quantum chemistry methods, graph theory, and parallel computing His recent work includes simulating fullerene formation, solving wave equations on non-Euclidean surfaces, and developing symmetry-adapted basis sets. He has presented at international conferences on topics ranging from wave equation modeling to carbon nanostructure analysis. Scientific Awards: VILLUM Young Investigator Program grant recipient As an active researcher, Avery has participated in collaborative projects like the ERC Starting Grant evaluation and contributed to programming language development through the Bohrium framework. His editorial work at IET Nanobiotechnology demonstrates commitment to scientific peer review.

Heather Clarkمشاهده پروفایل

استادیار

• Program Evaluation
• Community Collaboration and Partnerships
• Rural Community Health
• +۳ مورد دیگر

Dr. Heather Clark serves as Assistant Professor of the Practice and Director of Public Health Practice at Texas A&M University School of Public Health, specializing in community capacity building and program evaluation within rural and underserved populations. With two decades of field experience, she leads the Office of Public Health Practice to create student experiential learning opportunities through internships, service-learning, and workforce development initiatives funded by the Texas Department of State Health Services. Her educational credentials include a DrPH in Health Promotion & Community Health Sciences (2014), MSPH in Social and Behavioral Health (2005), and BS in Health (1995), all from Texas A&M University. These foundational qualifications underpin her expertise in translating academic theory into community practice. Dr. Clark's research centers on utilization-focused program evaluation, interorganizational network analysis, and rural community health capacity building. She employs collaborative methodologies to ensure data directly informs quality improvement and decision-making, with particular emphasis on social determinants of health in geographically isolated regions. Her work consistently bridges academic research and practical community health interventions. Recent publications reveal a concentrated focus on rural health infrastructure, telehealth-enabled sexual assault forensic services, and community-based evaluation frameworks. She frequently applies social network analysis to map referral systems and partnership dynamics, demonstrating how methodological rigor can address health disparities in resource-limited settings while advancing evidence-based public health practice. As an active mentor, Dr. Clark integrates students into federally and state-funded projects including the Texas Tele-forensic Remote Access Center and Collaborative Approaches to Well-being in Rural Communities. Her leadership in the Public Health Workforce Development Initiative directly addresses rural staffing shortages through structured training pipelines and applied practice experiences. She directs the Office of Public Health Practice in strategic collaborations with the Texas A&M School of Nursing, Hogg Foundation, CDC, and Texas Department of State Health Services. These partnerships drive community health assessments across the Brazos Valley and statewide initiatives that strengthen public health infrastructure through intersectoral coordination and capacity-building frameworks.

• Machine Learning
• Computational Biology
• Protein Structure Prediction
• +۳ مورد دیگر

Wouter Boomsma is a Professor in the Machine Learning section of the Department of Computer Science at the University of Copenhagen. He leads the BioML research group, which focuses on developing machine learning techniques to address fundamental challenges in biology, particularly in the realm of protein science. His research interests center around understanding the relationship between protein sequence, structure, and function through advanced machine learning approaches. Key research areas include representation learning of protein sequences and structures, 3D structure prediction, and systematic protein optimization using techniques like Bayesian optimization. His work has significant applications in protein engineering, basic biological research on mutation effects in protein interaction networks, and health-related studies on human disease mutations. Boomsma's research program recently received substantial funding from the Novo Nordisk Foundation to establish the Center for Basic Machine Learning Research in Life Science (MLLS), a collaborative effort involving six machine learning research groups in the Copenhagen area. This initiative underscores the significance and potential impact of his work at the intersection of machine learning and life sciences. His publication record demonstrates a consistent focus on applying machine learning to protein science challenges, with recent work emphasizing protein structure prediction, variant effect analysis, and Bayesian optimization for protein engineering. The research output shows strong interdisciplinary connections between computer science, biology, and medicine. Boomsma maintains active collaborations with industry partners and research institutions, with his work gaining recognition through citations and media coverage. His group's research has been featured in high-impact journals including Nature Methods, Nature Communications, and PLOS Computational Biology. The BioML group operates within the Department of Computer Science's Machine Learning section at the University of Copenhagen, with physical location at Universitetsparken 1, Copenhagen Ø. The group maintains an active presence through their website (https://ku-bioml.github.io) and continues to expand its research portfolio in machine learning for biological applications.

Dana Lokeمشاهده پروفایل

استادیار

• Medical Education
• Clinical Teaching Skills
• Simulation-Based Mastery Learning
• +۳ مورد دیگر

Dana Loke, MD, MS serves as Assistant Professor (CHS) in the Department of Emergency Medicine at the University of Wisconsin School of Medicine and Public Health. She holds key leadership roles including Assistant Director of Medical Student Education, Quality Lead at the Veterans Hospital Emergency Department, and Quality Lead for Resident Education. Additionally, she is Partner Longitudinal Teacher Coach and Chief Quality Officer for Foundations of Emergency Medicine, a nonprofit advancing global emergency medicine education through open-access curricula. Her educational background includes: Undergraduate: University of Wisconsin–Madison Graduate: Northwestern University (MS in Healthcare Quality and Patient Safety) Medical School: Medical College of Wisconsin Residency: Northwestern University Feinberg School of Medicine (Chief Resident) Fellowship: Northwestern University Feinberg School of Medicine (Medical Education Clinical Scholars Program) Dr. Loke's research centers on medical education innovation with emphasis on simulation-based mastery learning and healthcare quality improvement. Her work integrates clinical teaching skills development with patient safety initiatives, particularly addressing resident education in quality and safety frameworks. She actively explores physician wellness impacts on clinical performance and develops open-access educational resources for emergency medicine practitioners worldwide. Her scholarship bridges theoretical educational models with practical emergency department quality improvement. Analysis of her 2022-2025 publications reveals three dominant themes: (1) Development and validation of simulation-based mastery learning tools for emergency procedures; (2) Systemic analysis of emergency department operations including boarding impacts and gender disparities; (3) Integration of patient safety principles into medical education curricula. Her work consistently connects educational innovation with frontline clinical quality improvement. Her scientific recognition includes: Dr. David Salzman Junior Faculty Award Dr. Morris Kharasch Award for Excellence in Teaching Best Faculty Innovator in Education Award Cornerstone Award for Foundations of Emergency Medicine leadership As Quality Lead for Resident Education and Medical Student Education Director, Dr. Loke mentors trainees through the residency quality improvement curriculum and longitudinal coaching programs. Her leadership in the Undergraduate Medical Education Leadership Team and VA Emergency Department Leadership Team drives institutional quality initiatives. She serves as Editor-in-Chief for Foundations of Emergency Medicine's F1 Course, impacting medical education globally. She leads the Foundations of Emergency Medicine nonprofit as Chief Quality Officer, developing standardized curricula adopted internationally. Within UW Health, she directs quality improvement efforts across University Hospital and East Madison Hospital emergency departments, focusing on procedural competency and patient safety systems.

Benjamin Schnappمشاهده پروفایل

دانشیار

• Medical Education
• Emergency Medicine
• Resident Training
• +۴ مورد دیگر

Benjamin Schnapp, MD, MEd serves as Associate Professor in the Department of Emergency Medicine at the University of Wisconsin-Madison School of Medicine and Public Health, where he directs both the Emergency Medicine Residency Program and the Graduate Medical Education Scholarship Fellowship. His clinical expertise spans trauma care, musculoskeletal emergencies, and central nervous system infections within the BerbeeWalsh Emergency Department and affiliated clinical sites. His educational journey includes undergraduate training at Brown University, medical degree from The Warren Alpert Medical School of Brown University, emergency medicine residency at The Mount Sinai Hospital (serving as Chief Resident), medical education fellowship at Northwestern University, and ongoing Master of Education in Health Professions at the University of Cincinnati. This foundation supports his dual focus on clinical excellence and educational innovation. Dr. Schnapp's research centers on medical education transformation, particularly clinical teaching methodologies, resident-as-teacher development, wellness initiatives, and decision-making systems. His work pioneers competency-based frameworks like Entrustable Professional Activities (EPAs) and predictive learning analytics to enhance resident assessment. Current projects include an American Medical Association-funded initiative developing unified assessment systems across emergency medicine residencies. His publication portfolio reveals three dominant research trajectories: 1) Evolution of standardized evaluation systems (SLOEs) with AI integration potential, 2) Precision education through clinical dashboards and learning analytics, and 3) Implementation science for coaching models in graduate medical education. These threads converge on optimizing educational quality while addressing resident workload and case-mix variability. As Residency Program Director, he oversees comprehensive training for emergency medicine residents while mentoring faculty through national committees including SAEM's Graduate Medical Education and Fellowship Approval panels. His research portfolio includes significant funding from the American Medical Association for developing predictive analytics systems using EPAs, reflecting his commitment to data-driven educational improvement. Dr. Schnapp leads institutional efforts in educational innovation through the residency program's curriculum development and the fellowship program for medical education scholars, creating structured pathways for faculty development in academic emergency medicine.

Rahul Gangulyمشاهده پروفایل

مدرس ارشد

• Special Education
• Inclusive Education
• Disability Studies
• +۶ مورد دیگر

Rahul Ganguly is a Senior Lecturer in Teacher Education and Acting Course Director for Postgraduate Studies in Education at Charles Sturt University's School of Education. With prior roles as Senior Lecturer at the University of Southern Queensland (USQ) and Deputy Chief Commissioner for Disabilities at the Government of India, his career focuses on supporting self-determination for individuals with disabilities. His research explores resilience in university students with disabilities, caregiving dynamics, and pathways for individuals with disabilities to pursue STEM careers through collaborations in Australia and India. Senior Lecturer, Charles Sturt University (Current) Acting Course Director, Postgraduate Studies in Education Former Senior Lecturer, University of Southern Queensland (USQ) Former Deputy Chief Commissioner-Disabilities, Government of India Rahul's research spans several key areas: Resilience in long-term caregiving families Postsecondary-to-STEM career transitions for disabled students Compassion and well-being in caregiving contexts Evidence-based special educator preparation programs Recent publications highlight his work on AI-driven assistive technologies and inclusive education frameworks. He collaborates with the University of Sydney on disability research agendas and leads international projects examining caregiver experiences in India and Australia. Grants from Australian Government, NCSEHE, and India-Vision Foundation Active in American Association on Intellectual and Developmental Disabilities Member of Council for Exceptional Children (USA) and Australian Association of Special and Inclusive Education Rahul teaches courses on assessment strategies (ESS422) and differentiated classroom practices (ESS440), emphasizing systemic inequality awareness and analytical problem-solving for disability support. His professional activities include academic well-being workshops and reflective teaching practices.

• Evolutionary Anthropology
• Cultural Evolution
• Primate Cognition
• +۵ مورد دیگر

Claudio Tennie is a German evolutionary anthropologist and behavioral biologist affiliated with the University of Tübingen as a Research Fellow leading the "Tools and Culture among Early Hominins" group. He holds a triple habilitation (2024) in prehistory, psychology, and behavioral biology. His career spans institutions including the University of Birmingham (2012-2017), Max Planck Institute (2004-2012), and Lincoln Park Zoo (2013-present). Tennie's research focuses on differentiating cumulative culture in humans versus latent solutions in non-human primates, challenging assumptions about cultural transmission in early hominins. Education: PhD in Biology (2009, Göttingen), Diploma in Biology (2003, Bielefeld), studies at University of Edinburgh and Philipps-Marburg. Research Grants: ERC Starting Grant (STONECULT, 2017-2022), DFG Research Grant (2024), Leakey Foundation Grant (2024), Marie Curie Fellowship (2015-2017), and multiple earlier DFG/ESRC grants. His research interests center on primate cognition , stone tool evolution , and cumulative cultural dynamics , particularly distinguishing between individual reinvention and transmission-dependent culture . His work emphasizes the Zone of Latent Solutions (ZLS) hypothesis, arguing that most great ape behavior involves biologically programmed latent know-how rather than cultural transmission. This framework challenges traditional views of early hominin tool use as culturally evolved. Scientific contributions include critiques of Neanderthal birch-tar production (arguing for individual reinnovation) and experiments showing chimpanzees fail to spontaneously produce Oldowan-style stone tools. His recent 2025 articles analyze ecological frameworks in cultural studies , knapping mechanics , and model-based cultural transmission . Collaborative works with Ronald Planer, Simone Pika, and others explore the late onset of human cumulative culture . Awards: Klaus Tschira Award (2010), AAAS/Science Program (2012-2014), University of Birmingham Fellowship (2012-2017). Teaching: Leads "Evolution of Culture and Cognition" lectures and "Research Design" seminars at Tübingen; previously taught cumulative culture courses at Birmingham. His lab maintains collaborations with institutions like the Dublin Zoo , Lincoln Park Zoo , and Tübingen AI Center , which funded postdoctoral research on cumulative culture in AI (2022).

• Artificial Intelligence
• Computer Vision
• Domain Adaptation
• +۶ مورد دیگر

Tatiana Tommasi is an Associate Professor at the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin, actively contributing to advanced AI research and education. She serves as Deputy Coordinator of the National Doctoral College in Artificial Intelligence and Scientific Advisor for the European AI, Data, and Robotics Association (ADRA) and ELLIS Network. Her affiliations include the SmartData@PoliTO Laboratory and VANDAL Visual and Multimodal Applied Learning Laboratory. Her research focuses on algorithm fairness, computer vision, domain adaptation, autonomous driving, and robot learning. Recent work includes improving neural network reliability through fault-aware design, 3D semantic novelty detection, and visual relationship reasoning for robotic grasp planning. She has contributed to European research projects like ELSA (Secure and Safe AI) and commercial initiatives in space technologies and autonomous vehicle uncertainty quantification. Selected 2024-2025 publications demonstrate expertise in foundation models, fairness metrics, uncertainty estimation, and geometric deep learning. Her team leads commercial research projects on industrial robotics trajectory generation and satellite data analysis. She teaches core courses in Computer Engineering, Automotive Engineering, and Data Science, mentoring PhD students in Artificial Intelligence and Computer Systems Engineering. Research keywords: Artificial Intelligence, Machine Learning, Computer Vision, Domain Adaptation, Robot Learning, Transfer Learning, Fairness in AI, Uncertainty Quantification, Autonomous Driving, 3D Point Cloud Analysis, Vision Transformers, Industrial Robotics.

• Quantum Information
• Quantum Computing
• Quantum Optics
• +۷ مورد دیگر

Davide Girolami is an Associate Professor at the Department of Applied Science and Technology (DISAT) , Politecnico di Torino . He is affiliated with the Institute of Condensed Matter Physics and Complex Systems and leads the Nanophysics and Quantum Systems research group. His teaching portfolio includes delivering Introduction to Entanglement for the PhD program in Physics and Fisica I for Aerospace Engineering undergraduates. Research Interests focus on Quantum Information Science , Quantum Computing , and Quantum Correlation Theories . Key contributions include: Developing purity-based methods for entanglement quantification (2024) Establishing quantum-classical boundary through correlation suppression (2022) Formulating weighted distance metrics for many-body state comparison (2021) Advancing quantum metrology via local measurement protocols (2017) Creating information-theoretic coherence measures (2014) Article Trends reveal consistent focus on quantum resource theories and correlation quantification across 15 recent works. Topics span quantum state preparation complexity , causal inference in quantum dynamics , and scalable measurement protocols for experimental validation. Scientific Awards include: Universitas 21 Prize (2012) Graduate School Travel Prize (2011), both from The University of Nottingham

Yu Liuمشاهده پروفایل

استاد

• Sustainable Computing
• Energy-Efficient Software
• Programming Languages
• +۳ مورد دیگر

Yu Liu is a Professor at the School of Computing, Binghamton University, where he has been a faculty member since 2008. His research focuses on sustainable computing, energy efficiency, and security in emerging software systems, with significant contributions to programming languages, robotics, and software-hardware interfaces. Education: MSE, Johns Hopkins University PhD, Johns Hopkins University Professor Liu's research centers on sustainable computing and energy-aware software systems. He investigates programming language designs for energy prediction, develops reliable robotics software through managed languages, and creates secure software-hardware interfaces. His work bridges theoretical foundations with practical applications in data centers, UAV systems, and multi-threaded environments, emphasizing verifiable sustainability metrics and energy-efficient resource management. His publication trends reveal a consistent focus on sustainable computing evolution, with recent work advancing verifiable sustainability frameworks in data centers (2023-2024), energy accounting for multi-threaded applications (2020), and secure cache management techniques (2022). The research spans programming language theory, robotics safety, and hardware security, demonstrating interdisciplinary integration across computer science subfields. Scientific Awards: NSF CAREER Award Google Faculty Research Award Fulbright Scholarship Professor Liu has secured significant research funding through his NSF CAREER Award and Google Faculty Research Award, supporting innovations in sustainable computing infrastructure. His Fulbright Scholarship enabled international collaboration in Slovenia, advancing global research in energy-efficient software systems. He regularly teaches core courses including Programming Languages (CS471/571) and Sustainable Computing (CS680G), mentoring the next generation of computer scientists. While specific lab affiliations aren't detailed in the source text, his research on UAV software (Jcopter) and cache security (Composable cachelets) suggests active involvement in robotics and systems security research groups at Binghamton University.

• Advanced Materials Engineering
• Sustainable Energy Systems
• Ceramic and Cermet Materials
• +۵ مورد دیگر

Dr Jon Powell is an Assistant Professor in Engineering (Engineering and Design) at the School of Engineering and Informatics, University of Sussex. A chartered engineer with over twenty years of industrial and academic experience, he bridges practical engineering expertise with academic rigor. His current role includes serving as Course Convenor for the Foundation Year in Engineering. His educational background includes a PhD in Materials Engineering from the University of Birmingham (2007), an MSc in Environmental Pollution Control from the University of Leeds (2003), and professional certifications including Chartered Engineer status (2011) and Fellow of the Institute of Materials, Minerals and Mining (2017). Dr Powell's research focuses on advanced materials engineering for sustainable energy systems , particularly developing ceramic and cermet materials for catalyst supports, solid oxide fuel cells, and hydrogen production technologies. His work integrates blockchain applications in engineering for enhanced process reliability. His 15 most recent publications (2009-2022) demonstrate consistent specialization in hydrogen production via biogas reforming, catalyst/sorbent development, and ceramic processing techniques, with strong emphasis on CO 2 capture integration. His scientific recognition includes: Fellow of Advance HE (2024) Fellow of the Institute of Materials, Minerals and Mining (2017) Chartered Engineer status (2011) As an educator, Dr Powell emphasizes reflective and independent learning, integrating technologies like Moodle, Python, and Jupyter notebooks. He has developed curricula, standardized assessment methods, and designed laboratory equipment to enhance student employability. His teaching spans mechanics, properties of matter, and applied technology, with strong focus on practical skill development for engineering careers.