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Anees RazzoukView profile

Professor

• Cardiothoracic Surgery
• Pediatric Cardiac Surgery
• Congenital Heart Disease
• +7 more

Anees Razzouk, MD, is a Professor at Loma Linda University School of Medicine, holding dual appointments in the Department of Pediatrics and the Department of Cardiothoracic Surgery . He has been a long-standing faculty member with extensive contributions to pediatric cardiac surgery and heart transplantation. Education: Doctor of Medicine (MD), Loma Linda University, 1982 Master of Arts (MA), Andrews University, 1977 Bachelor of Arts (BA), Middle East University, 1975 Post-Doctoral Training: Pediatric Cardiovascular Surgery Fellowship, Hospital for Sick Children, Toronto, Canada (1990–1991) Thoracic and Cardiovascular Surgery Residency, Loma Linda University Medical Center (1987–1990) General Surgery Residency, Loma Linda University Medical Center (1982–1987) Dr. Razzouk’s research interests center on congenital heart disease , pediatric heart transplantation , mechanical circulatory support (e.g., Berlin Heart) , ECMO , and cardiac allograft vasculopathy . His work emphasizes surgical innovation, long-term outcomes, and quality improvement in pediatric cardiac care. He has led numerous clinical trials and registry studies, particularly in anticoagulation strategies and device utilization. His recent publications (2020–2025) reflect a strong focus on Fontan procedures , coronary anomalies , heart transplantation in congenital heart disease , and complex reoperative surgery . The articles demonstrate a consistent trend toward improving surgical techniques, understanding long-term outcomes, and addressing rare complications in pediatric and adult congenital heart patients. Scientific Awards and Recognition: No specific awards are listed in the provided text. Advising and Grants: Dr. Razzouk has served as Principal Investigator (PI) or co-investigator on multiple research grants from industry (e.g., Artivion, Berlin Heart Inc., Baxter) and internal university sources. His funded projects include clinical trials on the On-X valve , l-citrulline in pediatric cardiac surgery , Bioglue , and anticoagulation strategies . He has also led institutional studies on Fontan outcomes , pediatric heart transplant databases , and post-operative outcomes in deep hypothermia protocols . Labs and Teams: Dr. Razzouk is actively involved in several key clinical and research teams, including the ECMO Program Committee , Pediatric Cardiac Transplant Committee , Adult Cardiac Transplant Committee , and the California Society of Thoracic Surgeons (CASTS) . He has held leadership roles such as Director of Circulatory Support Systems and Compliance Liaison for Cardiovascular & Thoracic Surgery. His collaborative network includes researchers in cardiology, transplantation, and critical care at Loma Linda University and beyond.

Sotirios BatsakisView profile

Research Fellow

• Knowledge Representation
• Semantic Web
• Spatio-Temporal Reasoning
• +4 more

Dr. Sotirios Batsakis is a Senior Research Fellow at the University of Huddersfield, School of Computing and Engineering. He holds a diploma in Computer Engineering and Informatics from the University of Patras (Greece) with highest distinction, and a Master’s/Ph.D. in Electronic & Computer Engineering from the Technical University of Crete. His work contributes to UN Sustainable Development Goals through research in knowledge representation, semantic web, and spatio-temporal reasoning. Centre for Planning, Autonomy and Representation of Knowledge Centre of Artificial Intelligence for Mental Health Centre for Autonomous and Intelligent Systems His research spans knowledge representation, semantic technologies, spatio-temporal reasoning, and AI applications in mental health. Recent work focuses on large language models for formal verification, defeasible reasoning, and compliance checking in legal contexts. He has contributed to qualitative spatial reasoning frameworks, temporal representation in OWL, and semantic IoT systems. Active in academic service as a programme committee member for IEEE conferences, he has published extensively on semantic web technologies, ontologies, and AI applications. His research fingerprint includes ontology engineering (100%), semantic web (66%), and temporal reasoning (15%) across 63 publications since 2009.

Grace HaafView profile

Associate Clinical Professor

• Human-AI Joint Decision Making
• Decision-Making Under Uncertainty
• Business Analytics
• +7 more

Grace Haaf is a Clinical Associate Professor in the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where she rejoined in 2025. She previously taught business analytics at NYU Shanghai and has extensive industry experience in data science and analytics strategy. Her educational background includes a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2014), an M.S. in Mechanical Engineering from Carnegie Mellon University (2012), and a B.S. in Mechanical Engineering from Northwestern University (2008). Her research centers on human-AI collaborative decision-making, decision theory under uncertainty, and the integration of technology, business, and product design. She applies game-theoretic models to analyze agent behavior in mixed human-algorithm environments. Grace Haaf teaches courses including Business Analytics, Databases for Business Analytics, Marketing Analytics, Projects in Programming, and Statistics for Business and Economics. She has held significant roles in industry, including rapid evaluator at Google X and analytics consultant at McKinsey & Company, where she developed training programs for advanced analytics. Her expertise includes analytics program strategy, model operationalization, and organizational design for data science teams.

Popirlan Claudiu IonutView profile

Lecturer

• Artificial Intelligence
• Mobile Agents
• Multiagent Systems
• +6 more

Dr. Popirlan Claudiu Ionut is a Lecturer in the Computer Science Department at the Faculty of Exact Sciences, University of Craiova, Romania. He has been actively involved in academic and research activities since 2004, progressing from Assistant Lecturer to Assistant Professor and currently serving as a Lecturer. He holds a Ph.D. in Computer Science from the University of Pitesti and has extensive teaching experience in advanced programming, databases, GIS, and software engineering. His educational background includes: Ph.D. in Computer Science, University of Pitesti (2005–2009) Master in Artificial Intelligence, University of Craiova (2003–2004) B.Sc. in Computer Science, University of Craiova (1999–2003) Secondary Education, Fratii Buzesti National College (1995–1999) Dr. Popirlan's research is centered on Artificial Intelligence, with a strong emphasis on Mobile Agents and Multiagent Systems. His work explores knowledge representation, processing, and management using agent-based architectures, with applications in robotics, contact centers, and virtual organizations. He has also contributed to web-based 3D visualization and modeling in mechanical engineering. His technical expertise spans Java technologies, databases, and software engineering. The analysis of his recent publications reveals a consistent focus on mobile agents for knowledge processing, distributed systems, and intelligent control. Themes include agent architectures, knowledge base management, pathfinding algorithms, and simulation systems, indicating a deep and sustained research trajectory in autonomous and intelligent software systems. He has received research grants such as TD CNCSIS and CNCSIS IDEI, where he served as director and team member respectively, focusing on mobile agents and knowledge management. His editorial roles include Scientific Referent for INFO-PRACTIC and Editorial Secretary for the Annals of the University of Craiova. Dr. Popirlan is an active member of the academic community, affiliated with IEEE, IEEE Computer Society, ACM, IBM Academic Initiative, Microsoft Faculty Connection, and the Romanian Mathematical Society. He is also part of the Research Center of Artificial Intelligence in Craiova.

Albert LundeView profile

Adjunct Associate Professor

• Safety Science
• Risk Management
• Emergency Response Systems
• +7 more

Albert Lunde is an Adjunct Associate Professor at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Safety, Economics and Planning. His work bridges academic research and practical emergency response, focusing on safety in high-risk environments such as avalanche zones and helicopter emergency medical services. Institution: University of Stavangar School: Faculty of Science and Technology Department: Department of Safety, Economics and Planning Rank: Adjunct Associate Professor His research interests center on systems thinking in safety , risk management , and emergency response optimization . He investigates organizational overcommitment, uncertainty in rescue operations, and the impact of climate change on mountain safety and infrastructure. His interdisciplinary approach integrates engineering, public policy, and behavioral science. The trends in his recent publications highlight a consistent focus on Norwegian avalanche rescue systems , rescuer and patient safety , and technological and procedural improvements in emergency services. His work frequently employs systems theory, Bayesian modeling, and empirical analysis of real-world incidents to inform policy and practice. Scientific Contributions: Developed frameworks for systems thinking in avalanche safety Studied overcommitment in HEMS operations Evaluated rescue performance in road-related avalanche incidents Assessed climate change impacts on mountain tourism and rescue services Tested direction-finding equipment for avalanche search Lunde actively collaborates with national safety organizations, including the Norwegian Mountain Center (Norsk fjellsenter), and contributes to technical reports and policy recommendations. While no formal advising or grant information is listed, his extensive co-authored publications suggest a collaborative research network in safety science and emergency management. His work supports the development of resilient, adaptive, and human-centered emergency response systems in challenging environments.

• Agri-environmental Science
• Pollination Ecology
• Integrated Pest Management
• +7 more

Dr. Alice Mauchline is a Senior Lecturer at the University of Reading, affiliated with the School of Agriculture, Policy and Development and the Department of Agri-Environmental Sciences. Her research integrates ecological science with educational innovation, focusing on sustainable agriculture, pollination, pest management, and technology-enhanced fieldwork learning. University: University of Reading School: School of Agriculture, Policy and Development Department: Department of Agri-Environmental Sciences Academic Rank: Senior Lecturer Her research interests span agri-environmental science , pollination ecology , integrated pest management , and mobile learning technologies . She investigates insect behavior in agricultural systems, particularly pollen beetles, and develops strategies for sustainable pest control. Concurrently, she pioneers the use of mobile devices and citizen science in fieldwork education, enhancing pedagogical practices in higher education. Her recent publications reflect a dual focus: on one hand, ecological and agricultural challenges such as pest dynamics, pollination services, and biodiversity monitoring; on the other, educational innovations involving BYOD, iPads, and personalized learning. This interdisciplinary approach bridges natural and social sciences, contributing to both sustainable farming and effective science education. Dr. Mauchline has received no explicitly mentioned scientific awards in the provided text. She has not listed any formal advisees in the publications, but has collaborated extensively with colleagues across ecology, entomology, and education. She has contributed to major research initiatives on agri-environmental evaluation and pollination services. Her work includes developing tools like the Agri-environmental Footprint Index and the CropPol database, and she is involved in projects integrating robotics and inclusion in agriculture. She is active in research groups focused on fieldwork pedagogy , citizen science , and sustainable agroecosystems , often collaborating with interdisciplinary teams across the UK and Europe.

Waldfried PremperView profile

Lecturer

• functional language typology
• contrastive linguistics
• cognitive linguistics
• +5 more

Dr. Waldfried Premper is affiliated with the Institute for German Language and Literature I at the University of Cologne, where he has held teaching assignments since 2015, and also taught at the University of Münster in 2015. Previously, he served as a Research Associate at the Ludwig Maximilian University of Munich (2013-2014) and at the University of Wuppertal (2009-2013), where he was a member of Prof. Dr. Monika Rathert's research group and ZefiS (Center for Interdisciplinary Linguistic Research). His academic journey began with studies in biology, Protestant theology, and educational science (1977-1980), followed by general linguistics, German studies, and philosophy (1980-1986) at the University of Cologne. He earned his Magister Artium in 1986 and completed his doctorate in December 2000 with a grade of magna cum laude. His doctoral work focused on Arabic syntax, as evidenced by his 2002 publication "The 'Static Clauses' of Arabic from a Typological Perspective," which was also his dissertation. Dr. Premper's research centers on functional language typology and contrastive linguistics, cognitive linguistics and lexicology, and text linguistics and language theory. His scholarly focus demonstrates particular expertise in Arabic language structures, especially clause constructions, verb systems, and semantic aspects. He has conducted extensive comparative studies between Arabic, German, and Japanese, with special attention to perception verbs and their complements. His long-term engagement with the Cologne Universals Project since 1986 forms a cornerstone of his academic career. His publication record spans multiple decades, with significant recent contributions including his 2018 work on circumstantial clauses in Arabic and his 2017 analysis of translatology and contrastive linguistics. His research shows consistent attention to language universals, Arabic syntax, and cross-linguistic comparison, reflecting both theoretical depth and practical linguistic analysis. Dr. Premper has been involved with the German Research Foundation (DFG) Priority Program Language Typology, working on "Comparative Studies on the Semantics of Perception Verbs and Nominalizations" at the University of Tübingen from 1996-2000. His collaborative work with Yoshiko Ono on perception verbs demonstrates his engagement with international linguistic research. He maintains an office at the University of Cologne (Room 3.219) with consultation hours by appointment, bookable through the RRZK scheduler since the shutdown of Phil-Services in March 2021.

Enrico TordoniView profile

Researcher

• Ecology
• Biodiversity
• Plant Ecology
• +4 more

Enrico Tordoni is a Researcher in Macroecology at the University of Tartu's Institute of Ecology and Earth Sciences since 2021. His work focuses on integrating species traits, evolutionary biology, and species interactions to analyze biodiversity loss under global change, with particular emphasis on plant communities and alien species impacts across spatial scales. He actively contributes to dark diversity research, functional trait analysis, and habitat suitability modeling. Education : PhD in Ecology (2018) from the University of Trieste under Prof. Giovanni Bacaro Current Projects : Leading BIODECODE (2025-2029) on Anthropocene biodiversity changes; Co-investigator in agroecology and global change forecasting projects. His research combines long-term ecological data with trait-based methodologies to address: Climate extremes' effects on plant communities Xylem embolism and drought-induced urban tree decline Spectral diversity for functional pattern detection Methodological improvements in species distribution modeling He supervises two doctoral candidates and collaborates extensively with researchers in biodiversity informatics and ecological network analysis.

• Conservation Biology
• Biodiversity
• Freshwater Ecology
• +3 more

Associate Professor Alastair Richardson is a University Associate at the School of Natural Sciences, University of Tasmania. His research focuses on freshwater and terrestrial ecology, with particular emphasis on invertebrate biodiversity and conservation. He has extensive experience in ecosystem management and anthropogenic impact studies. Conservation Biology Freshwater Ecology Terrestrial Ecology Invertebrate Zoology Population Dynamics His recent publications highlight trends in crayfish conservation, coastal ecosystem management, and the ecological impacts of introduced species. Key projects include studies on the threatened giant freshwater crayfish Astacopsis gouldi and stable isotope analysis in urbanized bird populations. Alastair Richardson has supervised numerous doctoral and master's students across diverse ecological topics ranging from parrot spatial ecology to penguin conservation. His funded projects include grants from the Australian Research Council, CRC Forestry Ltd, and Holsworth Wildlife Research Endowment, focusing on forest impacts, aquatic fauna monitoring, and climate change studies.

Peter PopovView profile

Researcher

• Software Reliability
• System Dependability
• Software Fault-Tolerance
• +5 more

Peter Popov is a Reader at the Centre for Software Reliability (CSR) , City St George's, University of London , where he has been employed since 1997. He specializes in software dependability , fault tolerance , and stochastic modeling of critical infrastructures. Before his current position, he was an Associate Professor at the Bulgarian Academy of Sciences (1990-1997) and a Research Fellow at City St George's. Peter's academic journey began with a PhD in Computer Science from the Kiev National University of Technologies and Design (1989), following his BEng in Computer Engineering from the National Technical University of Ukraine (KPI, 1982). He has worked as a visiting scientist at renowned institutions including the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign , LAAS-CNRS in Toulouse, and Duke University . His research interests span Software reliability assessment System dependability Software fault-tolerance Performance evaluation Interdependencies of critical infrastructures He has contributed extensively to projects such as ReSIST , IRRIIS , DISPO , and AFTER , focusing on the dependability of composite systems and critical infrastructure resilience. Key publication trends reveal expertise in Stochastic modeling of autonomous vehicle safety Software diversity for fault tolerance Interdependency analysis in critical systems Bayesian reliability assessment Performance evaluation of distributed protocols Security implications in cyber-physical systems Peter has supervised several PhD students , including those researching autonomous vehicle resilience , safety assurance with ML components , and adaptable web services . His professional activities include serving on program committees for ISSRE , SAFECOMP , and EDCC conferences, as well as editorial contributions to CEUR Workshop Proceedings . He is proficient in Bulgarian , English , and Russian , with peer-review capabilities in all three languages.

André LamúriasView profile

Assistant Professor

• Biomedical Information Extraction
• Natural Language Processing
• Machine Learning
• +6 more

André Lamúrias serves as an Assistant Professor in the Department of Computer Science at NOVA School of Science and Technology, Universidade Nova de Lisboa, Portugal. His academic journey includes a postdoctoral position at Aalborg University's Department of Computer Science (DKWE group) and prior work at Priberam Labs. He completed his PhD at LASIGE, Faculdade de Ciências, Universidade de Lisboa. His research specializes in biomedical information extraction from scientific papers, electronic health records, and genomics data using machine learning algorithms integrated with domain ontologies. Current projects include metagenomic binning with graph neural networks and low-resource biomedical document processing. His work bridges computational methods with biological applications through extensive GitHub development. Lamúrias teaches Bioinformatics, Algorithms and Data Structures for Biology, Artificial Intelligence Techniques for Biology, Databases, and Artificial Intelligence courses at both MSc and BSc levels. His publication record shows consistent output in top bioinformatics journals including BMC Bioinformatics, Frontiers, and Journal of Cheminformatics, with research evolving from chemical entity recognition to advanced metagenomic analysis. He actively supervises MSc students on projects spanning information extraction in low-resource scenarios, cell type classification, genome recovery, and document retrieval systems. His GitHub profile demonstrates ongoing technical contributions with 28 commits in the last year across multiple repositories.

• Database Systems
• Transaction Processing
• Distributed Database Systems
• +5 more

Rong Zhang is a Professor at East China Normal University's School of Computer Science and Software Engineering in Shanghai, China. With a PhD from Fudan University's Department of Computer Science and Engineering (2007), Dr. Zhang has established himself as a leading researcher in database systems, particularly in transaction processing, performance evaluation, and distributed database technologies. His extensive collaboration network includes prominent researchers like Aoying Zhou, Weining Qian, and Xiaofeng He. Dr. Zhang's research primarily focuses on database performance evaluation, transaction processing systems, workload generation, and isolation level verification. His work addresses critical challenges in modern database systems including generating realistic test databases, benchmarking transactional performance, verifying isolation levels in distributed environments, and optimizing query processing. His research has significant practical applications for database vendors and users who need reliable performance metrics and verification tools. Analysis of Dr. Zhang's recent publications (2022-2025) reveals a strong focus on database benchmarking and verification. His work on the Leopard test suite for isolation level verification represents a major contribution to ensuring database correctness. The Mirage and Touchstone projects demonstrate innovative approaches to generating enormous, query-aware databases for comprehensive performance evaluation. His research increasingly incorporates machine learning techniques, as seen in SPQO for query plan reuse and functionality-aware database tuning. Dr. Zhang has mentored numerous researchers who appear as co-authors on his papers, including Xiaotong Wang, Siyang Weng, Yuming Li, and Qingshuai Wang. His research has been supported by projects focused on database performance evaluation, transaction processing, and distributed systems. While specific grant details aren't provided in the source material, his extensive publication record across top database venues suggests sustained research funding. Dr. Zhang appears to lead or be a key member of a research group focused on database systems at East China Normal University. This group has developed several significant tools and frameworks including Leopard for isolation verification, Mirage for database generation, and Lauca for workload duplication. Their work bridges theoretical database concepts with practical system implementation, producing tools that have become influential in database research and development.

• Database Systems
• Natural Language Processing
• Data Mining
• +4 more

Hongrae Lee is a researcher specializing in database systems, natural language processing, and data mining. His work bridges structured data management with language models, focusing on tasks like natural language to SQL translation, similarity joins, and efficient data processing. His research interests include: Database query optimization and similarity search Language model applications for text generation and hallucination correction Web data curation and structured data ecosystems Cloud storage optimization and distributed systems Hongrae Lee's recent publications (2022-2023) highlight trends in large language models (LLMs) for dialogue applications, attributed text generation, and acronym disambiguation with weak supervision. Earlier work (2016-2007) established foundational techniques in database scalability, LSH-based similarity estimation, and geographical data thinning. He has collaborated extensively with researchers at institutions like Google, Seoul National University, and University of British Columbia on projects such as WebTables, LaMDA, and Google Fusion Tables. His contributions span both theoretical advancements (e.g., variance-aware query optimization) and practical systems (e.g., CloudRAMSort, T5-based disambiguation).

• Database Systems
• Query Optimization
• Hardware-Efficient Data Processing
• +4 more

Holger Pirk is a researcher at Imperial College London , UK, focusing on database systems and data science. His work bridges hardware-aware query optimization, in-memory processing, and machine learning integration. He collaborates with institutions like MIT, TU Delft, and VU Amsterdam. Affiliation: Imperial College London, UK Key Collaborators: Samuel Madden (MIT), Martin Kersten (CWI), Georgios Theodorakis (Imperial), Stefan Manegold (CWI) Research Interests include: Hardware-conscious database optimization Stream/window aggregation algorithms Portable execution models via homoiconicity Compiler-database system integration Efficient tree/index structures Recent Publications (2023-2025) address topics like database kernel composition (BOSS), LLM-generated text compression, hardware-efficient data imputation, and fault-tolerant stream processing. His work emphasizes CPU/cache efficiency, parallelism, and cross-domain system design.

Savina OlegovaView profile

Researcher

• Scientometrics
• Scientific Publishing
• Journal Hijacking
• +4 more

Savina Olegova serves as Head of Branch Library at the Faculty of Chemistry and Pharmacy, Sofia University "St. Kliment Ohridski," where she combines library leadership with significant research contributions in scientometrics and scholarly communication integrity. Holding a PhD in Problems of scientific information and communication in science and education, she has established herself as a leading expert on journal hijacking and predatory publishing practices within the Bulgarian academic community and internationally. Her educational journey culminated in a 2020 PhD dissertation completed at Sofia University "St. Kliment Ohridski" under the supervision of Assoc. Prof. Dr. Elena Boyadzhieva. This foundational work examined critical challenges in scientific information systems and communication channels within academic environments, setting the stage for her subsequent research focus. Olegova's research interests span scientometrics, journal integrity, and scholarly communication systems, with particular expertise in identifying and analyzing hijacked journals, predatory publishing models, and metrics fraud. Her work reveals that hijacked journals grew from 101 in 2016 to 138 in 2020, with nearly 50% of fraudulent journal domains registered in 2019-2020 compared to legitimate journals' older registrations. She has developed sophisticated methodologies examining nine key features to distinguish authentic from hijacked journals, including domain ownership patterns where Namecheap, Inc. registered 14 of 32 working hijacked journal websites. Analysis of her publication trends shows a clear evolution from foundational work on library services and information literacy toward increasingly sophisticated examinations of scholarly communication integrity. Her recent publications focus on emerging threats like ResearchGate metrics manipulation and the impact of open science initiatives on traditional publishing models, reflecting her ability to anticipate and address evolving challenges in academic publishing. As an active editorial professional, Olegova serves on the editorial board of the Bulgarian Journal of Chemistry and edited the 2023 refereed publication "Education in Natural Sciences and High Technologies." She is also the author of the comprehensive monograph "Principles of Scientometrics: Phenomena and Trends in World Science" (2023), which synthesizes her extensive research in the field. Olegova has developed and implemented specialized training programs for PhD students and early-career researchers focused on scientific publication ethics and communication strategies. Her approach combines theoretical knowledge with practical case studies to help emerging scholars navigate the complex publishing landscape and avoid predatory practices. These initiatives demonstrate her commitment to mentoring the next generation of researchers through structured educational interventions. Leading the Branch Library at the Faculty of Chemistry and Pharmacy, Olegova oversees critical information services supporting both educational and research missions. Her expertise in information literacy has directly shaped training programs for chemistry and pharmacy students, ensuring they develop essential research skills from their earliest academic experiences. This integration of library leadership with scholarly research exemplifies the evolving role of academic librarians in contemporary research universities.