Find Academic Supervisors

• Operating Systems
• Storage Systems
• Programming Languages
• +3 more

Norman C. Hutchinson is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. He specializes in operating systems, storage systems, programming languages, computer communications protocols, and virtual machine monitors. His research emphasizes scalable distributed systems, storage efficiency, and virtualization technologies. Teaching Hutchinson teaches courses such as CPSC 110 (Computation, Programs, and Programming), CPSC 210 (Software Construction), CPSC 313 (Computer Hardware and Operating Systems), and CPSC 317 (Introduction to Computer Networking). His teaching spans foundational to advanced topics in computer science, reflecting his expertise in systems and networking. Awards and Recognition UBC Computer Science Undergraduate Team Award (2011) CS Department Teaching Award Faculty of Science Achievement Award USENIX Symposium on Networked Systems Design and Implementation Award Research Focus Hutchinson’s research explores scalable storage systems , virtual machine replication , and distributed protocols . Notable projects include SPEX (scalable publish/subscribe systems), Innesto (searchable key-value stores), and Remus (high-availability virtual machine replication). His work addresses challenges in consistency, performance, and reliability in distributed environments. Grants and Labs His research is supported by grants focusing on cloud storage, distributed systems, and virtualization. He collaborates with industry and academic partners to advance practical solutions for modern computing challenges.

Xenofon KoutsoukosView profile

Professor

• Cyber-physical Systems
• Sensor Networks
• Network Controllability
• +3 more

Xenofon Koutsoukos is the Thomas R. Walters Chair and Professor of both Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on hybrid and embedded systems, cyber-physical systems, and sensor networks. He holds a Ph.D., M.S. in Electrical Engineering, M.S. in Applied Mathematics from the University of Notre Dame, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Key research interests include network controllability, graph machine learning, resilient distributed systems, and autonomous systems security. He leads efforts in advancing cyber-physical systems resilience through adaptive algorithms and secure architectures. His work integrates principles from control theory, machine learning, and network science to address challenges in critical infrastructure security and autonomous systems. Notable contributions span fault-tolerant machine learning frameworks, UAV navigation algorithms, and secure peer-to-peer learning systems. His research is supported by interdisciplinary collaborations in areas like cyber-physical systems security and AI-driven design automation. Xenofon's intellectual neighborhoods include Big Data Science and Engineering, Cyber-physical Systems, and Risk and Reliability. He actively contributes to advancing the theoretical foundations and practical implementations of secure, intelligent systems through his academic leadership and publications.

Dmitry MarkovView profile

Research Professor

• Microphysiological Systems
• Organ-on-a-Chip Technology
• Microfluidic Bioreactors
• +3 more

Dmitry Markov is a Research Professor of Biomedical Engineering at Vanderbilt University's School of Engineering. His research focuses on developing microphysiological systems and organ-on-a-chip technologies to model tissue microenvironments ex vivo. These systems utilize microfluidic bioreactors for studying disease progression, drug efficacy, and environmental toxin effects. Markov's work integrates engineering principles with biological systems, emphasizing instrumentation for micro-scale measurements and environmental control within bioreactors. Education includes a Ph.D. and M.S. in Electrical Engineering from Texas Tech University, providing foundational expertise in microfluidics and sensor technologies. His interdisciplinary research bridges material science, computational modeling, and clinical applications, with a focus on PDMS-based device design and toxicokinetic analysis. Key research interests include optimizing organ-on-chip systems for personalized medicine, modeling tumor microenvironments, and developing integrated multi-organ platforms. His recent work explores metabolic dysfunction in neurological disorders using organ-on-a-chip models and investigates chemical-partitioning dynamics in biomaterials. Markov has contributed to advancing microfluidic valve and pump technologies, with patents covering rotary valves, capacitive pumps, and stackable bioreactor architectures. His lab develops both hardware innovations and computational models to enhance predictive toxicology and translational biomedical research.

Ina Kathrin SchieferdeckerView profile

Professor

• Digitalisation & Sustainability Transformation
• Software-based Innovation
• Technological Sovereignty
• +7 more

Prof. Ina Schieferdecker is a renowned academic and researcher with over 30 years of experience in mathematical computer science, digital transformation, and technological innovation. Currently serving as an Honorary Professor at Technische Universität Berlin since 2021, she has held leadership roles such as Director at Fraunhofer FOKUS, General Director at the Federal Ministry of Education and Research, and co-founder of the Weizenbaum-Institut für die vernetzte Gesellschaft. Her research focuses on digitalization and sustainability, software quality engineering, IoT testing, and urban data platforms. Education: She earned a Diploma in Mathematical Computer Science from Humboldt-Universität (1985–1990), followed by a PhD in performance-oriented communication protocol specifications at TU Berlin (1991–1994). She also completed a research stay at the International Computer Science Institute in Berkeley (1996). Research Interests: Her work spans digital sustainability transformation, software-based innovation, technological sovereignty, and quality engineering. Key areas include model-based testing, security testing, smart city frameworks, and open data governance. She pioneered the UML Testing Profile and contributed to the development of TTCN-3 testing standards. Key Achievements: Co-founded the Weizenbaum Institute to explore societal impacts of digital technologies. Led initiatives in AI, quantum computing, and 6G research at the Federal Ministry. Recognized with the Alfried Krupp von Bohlen und Halbach-Stiftung award for advancing automated test design and model-based testing. Awards: Recipient of the Alfried Krupp von Bohlen und Halbach-Stiftung award for her contributions to testing methodologies and software quality. Grants and Labs: Founded Fraunhofer FOKUS’s Test Lab and led the Berlin Center for Digital Transformation. Active in industry partnerships through roles like CSO at Testing Technologies IST GmbH and board memberships in innovation foundations. Labs/Teams: Headed the System Quality Center at Fraunhofer FOKUS and collaborated internationally on testing frameworks with teams in Sophia-Antipolis, Budapest, and beyond.

Rob BrinerView profile

Professor

• Evidence-Based Management
• Organizational Psychology
• Work and Well-being
• +5 more

Rob Briner is a Professor of Organizational Psychology at Queen Mary University of London's School of Business and Management. He serves as Teaching and Learning Forum Coordinator and a member of the Department of People and Organisations. His research focuses on evidence-based management and organizational psychology topics such as work well-being, psychological contracts, and emotion at work. He holds adjunct roles at the Institute of Psychiatry, London School of Economics, and University of Edinburgh Business School. Education: BSc Psychology & Philosophy (University of Hull), MSc (Durham University), PhD (University of Sheffield). Prior to QMUL, he spent 20 years at Birkbeck, University of London, holding leadership roles including Director of Research and Head of School. Research explores two core areas: evidence-based practice in management/HR and organizational psychology topics including work conditions' impact on well-being and behavior. He leads the Center for Evidence-Based Management (CEBMA) as Scientific Director, promoting practical application of research. Recent work emphasizes systematic reviews, management fad critique, and interventions addressing psychological contracts and employee engagement. His 15 most recent articles span evidence-based approaches to well-being interventions, public sector change dynamics, and ethnic identity salience at work. Awards: 2014 BPS Academic Contribution Award 2015 HR Magazine 'Most Influential HR Thinker' (2nd) Advising: 1 current PhD student (Jurate Cingiene) researching work-nonwork conflict dynamics Engagement includes over 50 invited talks annually on evidence-based management, and roles with the Institute for Employment Studies and European Healthcare Management Association.

• Software-Defined Networking
• Cloud Computing
• Network Security
• +4 more

Ameen Chilwan serves as an Assistant Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His office is located at Elektro A, A-262, Gløshaugen, with contact information including email ameen.chilwan@ntnu.no and phone +4746355118. Dr. Chilwan's research spans multiple domains in network technologies with particular expertise in software-defined networking (SDN), cloud computing infrastructure, and real-time internet services. His work demonstrates consistent evolution from foundational network architecture research toward contemporary applications in 5G edge clouds and smart grid systems. The interdisciplinary nature of his research bridges computer networking with energy systems and underwater communications. Analysis of his publication record from 2011-2024 reveals a clear progression from theoretical network modeling toward practical implementation challenges. Early work focused on OpenFlow-based SDN architectures (2012-2015), followed by expansion into cloud service availability (2011-2012), then underwater sensor networks (2014), and most recently machine learning applications for smart grids (2024). This trajectory demonstrates both technical depth in networking fundamentals and increasing breadth across application domains. Dr. Chilwan teaches courses including DCSG2001 - Sammenkoblede nettverk og nettverkssikkerhet, TTM4180 - Nettverkshåndtering, and DCSG1006 - Datakommunikasjon og nettverk, reflecting his expertise in network security, management, and communications. His academic service includes outreach activities through conference presentations and academic lectures at international venues including EUNICE, FIT, and ICCCN.

• Mathematics Education
• Teacher Training
• Lesson Study
• +3 more

Fay Baldry is an Associate Professor in the School of Education at the University of Leicester, where she serves as Programme Leader for the Master of Education (M.Ed.) degree and Co-Leader for the Secondary PGCE course. Previously, she taught mathematics in secondary schools and held roles including Head of Department before joining the University of Warwick in 2011, where she contributed to PGCE and MSc courses in Mathematics Education. Her work focuses on teacher professional development, lesson study, and classroom interaction dynamics. Her research interests include mathematics education, teacher training methodologies, and the implementation of lesson study in initial teacher education. She explores challenges in classroom observation, error handling during instruction, and the impact of educational policies like Maths Hubs. Her studies often bridge theoretical frameworks with practical classroom applications, emphasizing collaborative learning and equity. Recent publications highlight trends in teacher collaboration, the role of board work in problem-solving lessons, and the complexities of analyzing classroom interactions. Her work challenges conventional performance metrics in education, particularly regarding disadvantaged students' outcomes. While no specific grants or awards are noted, her contributions to PGCE and M.Ed. programs reflect her commitment to shaping future educators. She supervises trainee teachers but no student names are listed here. Her research often involves cross-institutional partnerships, though specific labs or teams are not detailed in the provided information.

Lucy HenryView profile

Professor

• Cognitive Development
• Developmental Disabilities
• Working Memory
• +14 more

Professor Lucy Henry is a Professor of Speech and Language at City, University of London , affiliated with the School of Health Sciences and the Department of Language and Communication Science . She is a qualified Clinical Psychologist with extensive research expertise in cognitive development, memory, language, executive functioning, and witness skills in neurodiverse children and young people. Her work bridges clinical, educational, and forensic psychology with a strong focus on developmental disabilities such as autism, intellectual disabilities, and specific language impairments. Education: BSc in Psychology, University of Bristol DPhil in Psychology, University of Oxford DClinPsych, King's College London Research Interests: Her research focuses on working memory, executive functioning, narrative skills, language development, and Hebb repetition learning in children with developmental disorders. She investigates how cognitive skills interact with educational outcomes and legal testimony, particularly in vulnerable populations. Her current projects include a UKRI-ESRC study on the impact of COVID lockdowns on children’s language and executive function (BICYCLE Study), a global reading development initiative, and the CO-IND international collaboration on cognition and intellectual disability. Publication Trends: Her recent publications center on narrative coherence in autistic adolescents, executive functioning in intellectual disabilities, working memory training interventions, and forensic aspects of child testimony. The research consistently applies interdisciplinary methods, integrating cognitive psychology, developmental science, and educational practice. Scientific Awards: Honorary Fellow, Royal College of Speech and Language Therapists (2024) Doctor of Philosophy honoris causa, Linköping University, Sweden (2022) Fellow of the Higher Education Academy (2021) Advising and Grants: She supervises numerous PhD students and has led multiple funded research projects, including ESRC, Wellcome Trust, and Waterloo Foundation grants. Her principal roles in grants highlight her leadership in developmental and forensic psychology research. She also serves as Co-ordinator for the MSc Conversion Course and Divisional Ethical Lead , demonstrating strong academic leadership. Labs and Collaborations: She is a key member of the Developmental Assessment and Intervention Research (DAIR) group and collaborates widely with institutions across the UK and Europe, including King’s College London, Goldsmiths, Open University, Linköping University, and the University of Amsterdam.

Panagiotis MergosView profile

Lecturer

• Structural Engineering
• Earthquake Engineering
• Seismic Design
• +7 more

Dr. Panagiotis Mergos is a Lecturer in Structural Engineering at City and St George's, University of London, where he teaches across BEng, MEng, and MSc programs in civil and structural engineering. He is affiliated with the Department of Engineering within the School of Health, Sport and Bioscience. PhD in Civil Engineering, Aristotle University of Thessaloniki, Greece (2011) MSc in Earthquake Engineering, University of Pavia, Italy (2003) MSc in Structural Engineering, Aristotle University of Thessaloniki, Greece (2002) Diploma in Civil Engineering, Aristotle University of Thessaloniki, Greece (2001) Dr. Mergos’s research centers on structural optimization, performance-based seismic design, and the assessment and retrofit of existing reinforced concrete structures. His work integrates advanced computational methods, including metaheuristic algorithms such as genetic algorithms and the flower pollination algorithm, to achieve sustainable and resilient structural designs. He investigates embodied carbon reduction, optimal seismic performance, and innovative retrofitting techniques, such as the use of helical steel reinforcement for masonry piers. The recent publications of Dr. Mergos reflect a strong trend toward sustainable and computationally intelligent structural design. His work spans the optimization of 3D reinforced concrete frames, benchmark problems for algorithm validation, and the environmental impact of construction materials. He frequently publishes in high-impact journals such as Engineering Structures , Earthquake Engineering & Structural Dynamics , and Energy and Buildings , demonstrating interdisciplinary research at the intersection of structural engineering, sustainability, and computational science. Scientific Awards and Recognitions: No specific awards or fellowships are mentioned in the provided text. Dr. Mergos actively supervises research students, including Dimitrios Zimos, and has led significant research projects on seismic retrofitting and structural optimization. He has held research positions at École Polytechnique Fédérale de Lausanne and has collaborated with leading experts such as Professor Andreas Kappos. His professional membership as a Chartered Engineer with the Technical Chamber of Greece underscores his technical expertise. While no external grants are mentioned, his independent research output indicates strong project leadership and methodological innovation. Dr. Mergos contributes to advancing structural engineering through both theoretical developments and practical applications, particularly in the areas of seismic resilience and sustainable construction. His work on benchmark problems provides valuable resources for the optimization community, and his exploration of novel retrofitting techniques addresses critical needs in heritage and existing building safety.

• Corrosion
• Reinforced Concrete
• Structural Reliability
• +3 more

Emilio Bastidas-Arteaga is an academic researcher in civil engineering at La Rochelle Université, affiliated with the Laboratory of Engineering Sciences for the Environment (LaSIE). He holds a PhD in Engineering Sciences (Civil Engineering) from the University of Nantes (2010). His research focuses on structural durability, corrosion mechanisms, climate change adaptation, and infrastructure resilience. He has served on thesis juries and contributed to international conferences. Key research areas include: Corrosion and durability of reinforced concrete Climate change impacts on infrastructure Structural reliability and probabilistic modeling Maintenance optimization and life-cycle analysis Sustainable materials (e.g., recycled aggregates) His recent work emphasizes Bayesian networks for durability prediction, machine learning applications in structural health monitoring, and climate-resilient design strategies. He has authored/co-authored over 80 peer-reviewed articles and two books. Key projects include: Development of probabilistic frameworks for coastal infrastructure Climate adaptation strategies for tropical environments Optimization of inspection/maintenance protocols for aging infrastructure He collaborates internationally on multi-disciplinary teams addressing challenges in: Offshore wind energy systems Wood utility pole durability under hurricane risks Carbonation and chloride ingress modeling

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +5 more

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

John Paul GibsonView profile

Associate Professor

• Formal Methods
• Software Engineering
• Computer Security
• +3 more

John Paul Gibson is an Associate Professor in the Department of Informatics at Telecom SudParis. His research focuses on formal methods, software engineering, and ethics in computing, with notable contributions to e-voting systems, formal verification, and digital ethics. He has authored and co-authored numerous papers in prestigious journals and conferences, including Formal Aspects of Computing , International Journal of Advanced Computer Science and Applications , and Journal of Information, Communication and Ethics in Society . His academic career includes leadership in interdisciplinary projects like the EU-funded Inclusion4EU initiative and ETHICS4EU, addressing inclusive software design and digital ethics education. He actively contributes to advancing ethical considerations in technology through studies on technical debt, AI ethics, and the political economy of Big Tech. His work bridges theoretical formal methods with practical applications, emphasizing the societal impact of computing systems. Gibson's research also extends to mobile crowdsensing optimization and cybersecurity, with publications in IEEE Transactions on Systems, Man, and Cybernetics and collaborations on cardiovascular risk studies. He has co-edited special issues on e-voting and digital ethics, showcasing his role in shaping academic discourse in these fields. His professional activities include organizing conferences like the International Workshop on Requirements Engineering for Electronic Voting (RE-Vote) and contributions to pedagogical initiatives such as problem-based learning in software engineering education. His lab affiliations include SAMOVAR, where he explores the intersection of formal methods and real-world system development.

Antonio PaolilloView profile

Professor

• Real-Time Systems
• Embedded Software
• Robotics
• +3 more

Antonio Paolillo is a Professor in the Department of Informatics and Applied Informatics at Vrije Universiteit Brussel. His research focuses on real-time systems, embedded software, robotics, and synchronization protocols. He leads projects like Brubotics (sustainable human-centered robotics) and FORCES (reliable robotic systems), emphasizing safety, privacy, and performance in human-robot collaboration. Key contributions include the mmPrivPose3D dataset for gesture recognition and sensor-based safety systems. He actively contributes to conferences like ECRTS 2025 and is involved in OS design for embedded platforms. His work bridges theoretical formal verification with practical implementations in multi-core and NUMA architectures. Education details and specific degrees were not explicitly mentioned in the provided text. Research interests span real-time scheduling, hardware-software co-design, and robust embedded systems. Recent articles emphasize privacy-compliant human-robot interaction and compiler transpilation for safety-critical applications. He collaborates internationally in robotics and real-time systems domains. Current projects (2024-2029) include foundational work on embedded software performance, reconfigurable robotics, and conference organization for ECRTS 2025. His work often involves interdisciplinary teams and industry partnerships.

Lisa KellerView profile

Associate Professor

• Psychometrics
• Bayesian Analysis
• Multivariate Statistics
• +3 more

Lisa A. Keller is an Associate Professor in the Research, Educational Measurement, and Psychometrics (REMP) concentration at the University of Massachusetts Amherst's College of Education. She also serves as the Associate Director of the Center for Educational Assessment and Program Coordinator for the REMP program. Her roles include teaching statistics courses, advising graduate students, and directing the Statistical Consulting Center. Dr. Keller holds a B.S. in Mathematics from St. Michael's College (1993) and an Ed.D. in Psychometrics from UMass Amherst (2002). Her research focuses on equating methodology, Bayesian analysis, and Item Response Theory (IRT), with notable contributions to statistical consulting for educational institutions and organizations like the Massachusetts Board of Higher Education. She has led projects evaluating educational reforms, designing assessment frameworks, and analyzing testing equivalency. Dr. Keller actively collaborates with professional organizations such as the Psychometric Society and National Council on Measurement in Education. Her recent work emphasizes detecting aberrant test responses using machine learning (e.g., Extended Isolation Forests) and refining cut score methodologies through ROC analysis. She has also explored the sustainability of IRT scaling methods across mixed-format tests and the impact of repeater effects in equating scenarios. Dr. Keller’s professional service includes chairing the National Council on Measurement in Education's Graduate Student Issues Committee (2001–2002) and peer reviewing for journals like Journal of Educational and Behavioral Statistics . Her technical contributions include software development for psychometric analyses and evaluations of high-stakes testing programs.

• Soil Microbiome
• Metatranscriptomics
• Microbial Ecology
• +7 more

Mathilde Borg Dahl is a researcher in the Department of Bacterial Physiology at the University of Greifswald, Germany. She serves as a corresponding author on significant research in molecular ecology and metatranscriptomics, focusing on quantifying soil microbial communities using internal RNA extraction standards and complementary molecular techniques. Her work bridges environmental microbiology and biogeochemistry, with applications in climate change and soil carbon cycling. Research Interests: Her primary research areas include soil microbiome analysis, metatranscriptomics, quantitative microbial biomass estimation, RNA extraction standardization, and the integration of molecular data with biogeochemical models. She investigates how microbial community size and activity relate to soil carbon mineralization, particularly under warming conditions. The recent articles led or co-authored by Mathilde Borg Dahl demonstrate a strong trend in developing and validating quantitative methods for soil metatranscriptomics. Her work emphasizes cross-validation using qRT-PCR, internal standards (e.g., Saccharolobus solfataricus RNA), and biogeochemical measurements (MBC, MBN). The focus is on overcoming biases in RNA extraction and library preparation to achieve reliable estimates of microbial abundance and activity in complex soil environments. Scientific Contributions: Lead researcher and manuscript author on a 2025 Molecular Ecology Resources study on quantifying soil microbiome abundance. Co-author on multiple high-impact publications in microbial ecology and soil science (2015–2024). Active participant in the ForHot geothermal warming experiment in Iceland. Recipient of funding from the German Research Foundation (DFG). Advising and Grants: While no formal students are listed, her leadership in study design and data analysis suggests a mentoring role. She has secured research funding from the DFG (BO 5559/1-1) and collaborated on projects funded by the Research Council of Norway and the Czech Science Foundation. Her work also benefited from EU Horizon 2020 support via the FutureArctic Marie Skłodowska-Curie Actions. Laboratories and Collaborations: She works within the Department of Bacterial Physiology at the University of Greifswald and collaborates with teams at UiT The Arctic University of Norway, University of Vienna, and the Biology Centre CAS in the Czech Republic. She utilizes the CAPUT server hosted by Prof. Lars Kaderali’s lab for bioinformatics and benefits from technical support across departments.