Find Academic Supervisors

• Distributed Systems
• Cloud Computing
• Edge Computing
• +7 more

David Bermbach is a Full Professor at Technische Universität Berlin , leading the Scalable Software Systems group since 2023. His research focuses on distributed systems, serverless computing, and benchmarking, with significant work on edge and fog computing architectures. He is affiliated with the Einstein Center Digital Future and co-chairs interdisciplinary projects like SimRa for bicycle traffic safety. Full Professor, Scalable Software Systems (2023–present) ECDF-Professor, Mobile Cloud Computing (2017–2023) Postdoctoral Researcher (2014–2017) Education : Diploma in Business Engineering (2010) – Karlsruhe Institute of Technology (KIT) PhD in Computer Science (2014, summa cum laude) – KIT Research Interests span distributed systems with emphasis on cloud, edge, and fog computing, serverless architectures, IoT platforms, and benchmarking frameworks. His work addresses consistency-performance trade-offs, resource placement, and interdisciplinary applications in urban mobility and satellite edge computing. Article Trends show a focus on serverless computing (12/15), edge-cloud integration (9/15), and benchmarking methodologies (7/15). Key themes include optimizing function placement, federated learning architectures, and low-earth orbit computing systems. Scientific Awards Best Paper Award – ShutPub (2024) Best Workshop Paper – A Research Perspective on Fog Computing (2017) Best Paper Runner Up – Benchmarking Eventual Consistency (2014) Summa Cum Laude PhD Thesis (2014) Advising & Grants include mentoring students like Tobias Pfandzelter and Trever Schirmer, leading funded projects through the Einstein Center Digital Future, and contributing to 6G network research. His team works on cloud federation, serverless optimization, and real-world IoT applications.

Wojciech KosiorView profile

Researcher

• Hebrew Bible
• Early Rabbinic Literature
• Angelology
• +4 more

Dr. Wojciech Kosior is a researcher at the Department of Comparative Civilization Studies within the Centre for Comparative Studies of Civilisations at Jagiellonian University, Poland. He holds degrees in Jewish Studies from the Paideia Institute, Religious Studies, and Psychology from Jagiellonian University. Education: Jewish Studies (Paideia Institute) Religious Studies (Jagiellonian University) Psychology (Jagiellonian University) His research focuses on angelology, demonology, and apotropaism, cognitive science of religion, and digital humanities applications in religious text analysis. He specializes in Hebrew Bible, early rabbinic literature (Talmuds, Midrashes), Targums, Dead Sea Scrolls, and apocryphal texts. His work often intersects ancient religious traditions with modern quantitative and qualitative analysis. Key trends in his recent publications include systematic databases for supernatural entities (Elyonim veTachtonim project), cognitive theory of religion applications, and digital humanities tools in Jewish and Biblical studies. His work has been supported by grants from the National Science Centre (2018/31/D/HS1/00513) and Ministry of Science and Higher Education initiatives. While he has not explicitly listed scientific awards, his research has been funded through competitive grants. He manages significant projects like the Elyonim veTachtonim database and co-edits comparative religious studies outputs.

Robin CarpentierView profile

Research Fellow

• Data Privacy
• Information Management
• Hardware Security
• +3 more

Robin Carpentier is a Research Fellow at the School of Computing, Macquarie University . His work focuses on Data Privacy , Information Management , and Hardware Security , particularly in developing secure personal data management systems using Trusted Execution Environments (TEE) and SGX technology. Research Interests : Secure data processing with third-party code Privacy-preserving computation frameworks Hardware-based security for databases Dimensionality challenges in text privacy Resource-constrained privacy-preserving methods Recent Publications Trends : Robin's research over the past decade has explored data leakage mitigation, TEE-optimized database operations, and privacy-preserving mechanisms for large-scale data applications. His 2024 work extends these principles to secure AI/LLM interactions and advanced text privacy techniques.

Varun VaidyaView profile

Professor

• Pharmacoeconomics
• Health Outcomes Research
• Real-World Evidence
• +3 more

Dr. Varun Vaidya is a Professor and the Director of B.S.P.S. Pharmacy Administration Program and M.S.P.S. Health Outcomes and Socioeconomic Sciences program in the Department of Pharmacy Practice at the University of Toledo College of Pharmacy and Pharmaceutical Sciences. He serves as the faculty advisor to the UT-ISPOR chapter and holds significant roles in national organizations including the Pharmacy Quality Alliance (PQA) Data & Interoperability Advisory Group (DIAG), ISPOR, APhA, and AACP. Dr. Vaidya's educational background includes: Ph.D. in Pharmacoeconomics from University of Tennessee, Memphis (2009) B.Pharm. from Bharati Vidyapeeth, India (2002) Certification in Measurement, Design and Analysis Methods for Health Outcomes Research from Harvard School of Public Health (2010) His research program centers on quantitative assessment of health outcomes related to medication use, with particular expertise in real-world evidence (RWE) studies that inform value-based decision making and outcomes-driven healthcare delivery. Dr. Vaidya has extensive experience with claims databases including Optum, GE, MarketScan, Truven, and Clinical Practice Research Datalink (CPRD) U.K., as well as U.S. national databases such as Medical Expenditure Panel Survey (MEPS), Behavioral Risk Factor Surveillance Survey (BRFSS), and National Health and Nutrition Examination Survey (NHANES). His publication record demonstrates a strong focus on pharmacoeconomics across multiple therapeutic areas including oncology (particularly lung cancer and myelofibrosis), diabetes management, mental health, opioid use disorder, and medication adherence patterns. His work frequently examines medication utilization patterns, healthcare costs, treatment effectiveness, and the impact of social determinants on health outcomes. Dr. Vaidya actively contributes to the academic and professional community through his role as program director, faculty advisor, and national organization participation. He is frequently invited to speak at national and international venues and provides expertise to media outlets on prescription drug pricing and pharmaceutical policy issues, having featured in news segments and authored Op-Ed articles on these topics.

Viet-Huong NguyenView profile

Associate Professor

• Epilepsy
• Stroke
• Genetics
• +2 more

Dr. Viet-Huong Nguyen serves as an Associate Professor in Pharmacy Practice at Chapman University's School of Pharmacy, located at the Rinker Health Science Campus. Her expertise spans epilepsy, stroke, genetics, neuropharmacology, and epidemiology, with a focus on clinical and translational research. Her educational background includes: Bachelor of Arts in Biology and Classics with emphasis in Literature and Mythology from University of Southern California (2001) Master of Science in Cell and Neurobiology from University of Southern California (2003) Doctor of Pharmacy from University of California, San Francisco (2007) Master of Public Health in Epidemiology from University of California, Los Angeles (2014) Dr. Nguyen's research primarily focuses on epilepsy and stroke, with particular interest in the pharmacogenetics of drug response and resistance in epilepsy. She is an active member of GENESS, an international consortium dedicated to identifying genes causing genetic epilepsies including Juvenile Myoclonic Epilepsy, Childhood Absence Epilepsy, and Lafora Epilepsy to develop curative therapies. Her work bridges basic neuroscience with clinical applications, investigating molecular signaling pathways of the central nervous system and their implications for pharmacotherapy. She has contributed significantly to stroke outcomes/health services research, examining risk factor management and treatment protocols across multiple healthcare settings. Her extensive publication record demonstrates a consistent focus on neuropharmacology, with particular emphasis on epilepsy management and stroke care. The publications span clinical guidelines, pharmacogenetic research, and innovative approaches to treatment. Her work shows progression from basic pharmacokinetic studies to complex clinical applications and health services research, with increasing focus on genetic factors influencing drug response. The publications reveal a strong collaborative approach, frequently working with international research teams across multiple institutions. Her notable recognition includes: Fellowship grant from the American Foundation of Pharmaceutical Education (AFPE) to study drug transporters and pharmacogenetics in drug resistant epilepsy Dr. Nguyen has mentored and precepted over 80 students and residents from VAGLAHS, USC, UCSF, UOP, and Western University Schools of Pharmacy. She previously served as an Adjunct Assistant Professor of Pharmacy Practice at USC School of Pharmacy for 8 years, contributing to curriculum development for epilepsy and stroke education. Her clinical work has included developing the Anti-Epileptic Drug Response Phenotype Database and establishing pharmacist-managed Epilepsy and Stroke Prevention clinics with expanded scope of practice. She was instrumental in developing the PGY2 specialty pharmacy practice residency in Neurology at VA Greater Los Angeles Healthcare System (VAGLAHS), the first neurology pharmacy residency eligible for ASHP accreditation. Her clinical practice has centered around the VAGLAHS Epilepsy Center of Excellence and Stroke Program, where she implemented innovative pharmacy services that have improved patient outcomes through specialized pharmacotherapy management.

• Management and Organization
• Organizational Behavior
• Technology and Innovation Management
• +5 more

Habibe Aktay serves as a full-time Lecturer in the Department of Business Information Technologies within the Faculty of Economics, Administrative and Social Sciences at Işık University. Her academic profile bridges technological systems and human behavioral factors in organizational contexts, with teaching responsibilities spanning database systems, web programming, and customer relationship management courses delivered in both Turkish and English. Her educational trajectory demonstrates remarkable interdisciplinary breadth: PhD Candidate in Business Administration, Yıldız Technical University (2019-present) Master's in Business Administration (with thesis), Yıldız Technical University (2016-2019) Concurrent undergraduate studies in Arabic Language and Literature, Istanbul University (2022-present) Bachelor's in New Media and Journalism, Istanbul Yeni Yüzyıl University (2015-2017, full scholarship) Bachelor's in Sociology, Anadolu University (2015-2019, open education) Bachelor's in Management Information Systems, European University of Lefke (2007-2012, full scholarship, English-medium) Her research program centers on the confluence of organizational psychology and digital transformation, particularly examining how psychological constructs like intolerance of uncertainty and emotional intelligence influence decision-making in technology-driven business environments. This manifests in her dual focus on financial sector digitalization and cognitive aspects of Industry 4.0 adaptation. Publication analysis (2019-2024) reveals three dominant thematic clusters: bibliometric investigations of psychological constructs, digital transformation applications in finance, and decision-making dynamics under uncertainty. Her work consistently applies psychological frameworks to contemporary business challenges, with increasing emphasis on Industry 4.0 contexts since 2022. Course listings confirm her active role in delivering core information systems curriculum, including Database Systems, Web Design, and Advanced Java programming across multiple academic years and language mediums.

• Spatial Databases
• Geoinformatics
• Internet of Things (IoT)
• +5 more

Anastasios Zafeiropoulos serves as Assistant Professor at Harokopio University of Athens, specializing in Spatial Data Management and Analysis within the Postgraduate Studies Program for “Applied Geography and Spatial Management” (Direction C: Geoinformatics). His academic role encompasses teaching “Spatial Databases” and advancing research at the intersection of geospatial technologies and distributed computing systems. His research program focuses on Spatial Databases, Internet of Things (IoT), Cloud/Edge Computing, and 6G Network Orchestration, with significant extensions into Knowledge Graph applications for Sustainable Development Goals (SDGs) and socio-emotional learning in education. Key innovations include the EduCardia methodology for student competency assessment and frameworks for climate vulnerability analysis using knowledge graphs. Analysis of his 2024-2025 publications reveals three dominant thrusts: (1) AI-driven orchestration of 6G services across the computing continuum using reinforcement learning; (2) Knowledge Graph applications for SDG interlinkage analysis and materials science; (3) EU-funded IoT/Edge Computing project ecosystems. His work consistently bridges theoretical networking concepts with practical sustainability and educational applications. Dr. Zafeiropoulos actively contributes to EU-funded initiatives in IoT and Edge Computing standardization, particularly through AIOTI WG Standardisation. His project portfolio includes NEPHELE multi-cloud ecosystem development and O-RAN slice admission control research, demonstrating strong industry-academia collaboration in next-generation networking. He leads the development of innovative tools including Palindrome.js for distributed system visualization and the EmoSocio open-access emotional intelligence model, reflecting his commitment to translating research into practical educational and environmental solutions.

Holger SchwarzView profile

Associate Professor

• Data Management
• Database Systems
• Data Lakes and Lakehouses
• +6 more

Holger Schwarz is an Associate Professor (Apl. Professor) at the Institute for Parallel and Distributed Systems (IPVS) within the Faculty of Computer Science, Electrical Engineering and Information Technology at the University of Stuttgart. He serves as Head of the Infrastructure Department and is actively involved in research and teaching in the areas of data management, database systems, and data analytics. Professor Schwarz earned his doctorate (Dr. rer. nat.) from the University of Stuttgart in 2003 with a dissertation on "Integration of Data Mining and Online Analytical Processing." He later completed his habilitation (Dr. rer. nat. habil.), qualifying him as a university professor in Germany. His primary research interests focus on data management systems , particularly in the domains of data lakes, lakehouses, enterprise data platforms, and metadata management. Professor Schwarz investigates how to design efficient and scalable data architectures that support modern analytical workloads while addressing challenges in data integration, governance, and democratization. His work bridges theoretical database concepts with practical industrial applications, as evidenced by numerous collaborations with industry partners. Professor Schwarz's recent publications demonstrate a clear trend toward enterprise data management solutions, particularly focusing on data lakehouse architectures, enterprise data marketplaces, and advanced clustering techniques. His research shows a consistent pattern of addressing real-world data management challenges through innovative architectural patterns and algorithmic improvements, with strong emphasis on practical industrial implementation. Professor Schwarz supervises numerous research projects including MetaMan (metadata management in complex data landscapes), DLArchitecture (design of comprehensive data lake architecture), INTERACT (interactive rapid analytic concepts), and VALID-Partition (improving prediction quality using domain knowledge). He also coordinates the University of Stuttgart's projects within the Software Campus initiative and serves as Managing Director of the Technology Partnership Lab and as a Member of the Board of Directors of the Industrial Data Lab. His teaching portfolio includes courses on Advanced Information Management, Database Systems, and Data Science projects across multiple semesters, demonstrating his commitment to educating the next generation of data management professionals.

• Database Systems
• Privacy-Preserving Computation
• Indexing Techniques
• +3 more

Dong Xie is an Assistant Professor in the field of Computer Science and Engineering , with a focus on database systems and privacy-preserving computation. His work spans indexing techniques, oblivious RAM, and high-throughput data processing. Key Research Areas: Encrypted databases, access pattern privacy, dynamic data structures, spatial analytics. Collaborations: Active in database optimization and security, with external partnerships reflected in recent publications. Over the past decade, Dong Xie has contributed to advancements in oblivious query processing , index dynamization , and spatial data management . His research addresses challenges in secure data access , concurrent updates , and storage efficiency , particularly for cloud and distributed environments. Recent publications highlight his work on low-latency transaction scheduling (2025), dynamic sampling indexes (2023), and SSD-based storage optimization (2022). His articles explore intersections of privacy , performance , and scalability .

Nectarios KozirisView profile

Professor

• Parallel and Distributed Systems
• Computer Architecture
• Systems Software
• +10 more

Nectarios Koziris is a Professor at the Department of Computer Science , National Technical University of Athens (NTUA) , and former Dean of the School of Electrical and Computer Engineering . His research focuses on Parallel and Distributed Systems , Computer Architecture , and Cloud Computing . Key Research Themes: Compiler-OS-Architecture Interaction, Datacenter Hyperconvergence, Sparse Matrix Optimization, Quantum Computing, FPGA Virtualization Leadership: Founder of ~okeanos (Europe's largest public Cloud IaaS), Co-founder of GFOSS , Member of IEEE Computer Society Greece, Advisor to Arrikto Inc. His work has led to over 180 publications with 5800+ citations (h-index 33) , including two Best Paper Awards (IPDPS 2001, CCGRID 2013) and Intel Recognition (2015). He has supervised 12 PhD students and participated in 15+ EU projects as coordinator or consortium partner. Scientific Leadership: Program Co-Chair for Europar 2012 , Organizer for IPDPS , ICPP , SC conferences, and active member in Cloud Computing Expert Groups for the European Commission.

Victoria C. SmithView profile

Professor

• Tephrochronology
• Geochronology
• Volcanology
• +3 more

Professor Victoria C. Smith is a leading volcanologist at the School of Archaeology, University of Oxford. Her research focuses on tephrochronology, using volcanic ash layers to date and correlate sedimentary and archaeological records. She manages Oxford's electron microprobe facilities and cryptotephra laboratory, supporting global research on explosive volcanism. Research Interests : Volcanology, tephrostratigraphy, magmatic processes, and paleoenvironmental reconstruction. Geographic Focus : Italy, Mexico, Japan, Azores, Canary Islands, Ethiopian Rift, Antarctica. Her recent publications highlight collaborations in geochronology, magma evolution modeling, and tephra applications in synchronizing climate-human records. She supervises MSc and doctoral students in Archaeological Science, focusing on volcanic ash as chronological tools.

• Climate adaptation
• Spatial databases
• Urban dynamics
• +9 more

Chiara Cortinovis is a Researcher at the Department of Civil, Environmental and Mechanical Engineering, University of Trento. Her work focuses on urban planning, ecosystem services, and climate adaptation, integrating Geographic Information Systems (GIS) and Strategic Environmental Assessment (SEA) into sustainable development frameworks. Current research emphasizes nature-based solutions, urban green infrastructure, and spatial databases for territorial planning. Recent publications analyze ecosystem service hotspots, geodesign methodologies, and policy instruments for sustainable peri-urban landscapes. Teaches Introduction to Urban Planning and Ecological Land Planning Specializes in GIS applications, environmental sustainability, and urban-climate resilience

Thomas D. O'RourkeView profile

Professor

• Geotechnical Engineering
• Earthquake Engineering
• Underground Construction Technologies
• +2 more

Thomas D. O'Rourke is the Thomas R. Briggs Professor in Engineering at Cornell University . A distinguished academic and professional, he is a member of the US National Academy of Engineering, Distinguished Member of ASCE, International Fellow of the Royal Academy of Engineering, Member of the Mexican Academy of Engineering, and Fellow of the American Association for the Advancement of Science. Research Focus: Geotechnical engineering, earthquake engineering, underground construction technologies, and geographic information systems. Professional Leadership: Former President of the Earthquake Engineering Research Institute (EERI), chair/membership in numerous professional society committees. Scientific Recognition: Recipient of the Stephen D. Bechtel Pipeline Engineering Award, Ralph B. Peck Award, and George W. Housner Medal. Delivered the 2009 Rankine and 2016 Terzaghi Lectures. Global Impact: Advised over 120 projects across 13 countries and testified before the U.S. House of Representatives Science Committee on infrastructure resilience.

• Description Logics
• Ontologies
• Automated Reasoning
• +7 more

Professor Boris Konev is a faculty member at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. He holds the academic rank of Professor in Computer Science. Description Logics Ontologies Automated Reasoning Temporal Logic Formal Verification Encrypted Database Applications His recent research focuses on temporal queries mediated by ontologies, knowledge evaluation agents using large language models, and semantic modularity in description logics. Key sub-fields include LLM applications, encrypted databases, and formal verification techniques. He has contributed to software development projects and industry partnerships, including design of equine simulators and online services with Racewood Limited. Current teaching includes the Foundations of Computer Science module (COMP109). Professional roles include guest editorships for AI Communications and program committee membership for the European Conference on Logics for Artificial Intelligence (JELIA).

Maurice van KeulenView profile

Associate Professor

• Artificial Intelligence
• Data Mining
• Process Mining
• +7 more

Maurice van Keulen is an Associate Professor affiliated with the University of Twente's research institutes including Datamanagement & Biometrics, Digital Society Institute, and TechMed Centre. His multidisciplinary work bridges computer science, healthcare, and social systems. Research Focus: Van Keulen specializes in artificial intelligence applications with emphasis on: Data management (quality, integration, probabilistic databases) Explainable AI and interpretable machine learning models Healthcare informatics (cancer prediction, medical imaging, outcome analysis) Natural language processing and social media analytics His recent work explores dynamic sparse training, meta-learning for data imputation, and ethical AI frameworks. Publication Trends: Recent articles (2023-2025) show strong focus on: Interpretable AI methods in healthcare diagnostics Robust machine learning under data corruption Meta-learning approaches for data preprocessing 3D medical imaging and reconstruction techniques Awards: Beste paper award (2018) for work on probabilistic data conditioning Supervision & Activities: Has supervised 14 research projects and serves on executive boards including EDBT (Extending DataBase Technology) and IFIP WG 2.6. Leads research on ethical dimensions of AI systems.