Professor Alicia Arévalo González is a leading scholar at University of Cádiz , specializing in Archaeology and Ancient Numismatics . Affiliated with the Marine Research Institute (INMAR) , she co-leads the HUM1126 Archaeology and Cultural Heritage research group focusing on the Strait of Gibraltar to Atlantic-Mediterranean areas. Academic Leadership: Established groundbreaking research lines connecting Numismatics with Archaeology over 20+ years Research Pillars: Phoenician-Punic Coinage , Roman Maritime Industries , Monetary Circulation , Hispanic Numismatics Her work spans multiple international projects including: Deatlantir I-II (National R&D Plan) TIDE Network (Interreg Atlantic Area) NUMAROC (Casa de Velázquez) Collaborations with Università di Bologna and French School of Archaeology Key contributions include: Directing Currency for the Afterlife necropolis study Coordinating Erasmus+ Program with Bologna University Developing Wondercoins-His open data platform Participating in technical commissions for Baelo Claudia Archaeological Ensemble
Chantal Mérette is a Professor at Laval University's Faculty of Medicine in the Department of Psychiatry and Neuroscience. She serves as a Researcher at the Quebec Mental Health Institute Research Center, Director of the Clinical and Cognitive Neuroscience division at CERVO Brain Research Center, and Director of the Neuroscience Biostatistics Platform. Her research focuses on developing and applying biostatistical methods for neuroscience data analysis. Key interests include biomarker discovery for neurodevelopmental disorders (schizophrenia, bipolar disorder, depression), genetic risk factors, clinical trial design, and prediction modeling. She leads a team specializing in database development, study power analysis, and advanced statistical methodologies for neuroscience research. Dr. Mérette's work spans multiple domains including insomnia treatment efficacy, neurodevelopmental trajectories in at-risk youth, childhood neglect impacts on psychosis development, and genetic variants in suicidal behavior. Her research has produced clinical trials on omega-3 supplementation, tele-rehabilitation, and exercise interventions for psychiatric conditions. She directs the Neuroscience Biostatistics Platform which provides end-to-end methodological support for neuroscience research, from study design to publication. The platform specializes in clinical trial conceptualization, confounding factor analysis, prediction modeling, and non-inferiority testing. Her collaborative work has advanced psychiatric knowledge through endophenotype and biomarker identification for neurodevelopmental diseases. Current projects include developing electroretinogram-based clinical decision tools and studying psychosocial impacts of pandemic restrictions through the MAVIPAN cohort study.
Avery Berman is an Assistant Professor in the Department of Physics at Carleton University and a Scientist at the University of Ottawa Institute of Mental Health Research (IMHR) at The Royal. His work focuses on advancing functional MRI (fMRI) techniques for high-resolution imaging of brain activity and physiology, with applications in neuroscience and mental health disorders. PhD in Biomedical Engineering and MSc in Medical Radiation Physics from McGill University Postdoctoral research at Harvard Medical School and the Martinos Center for Biomedical Imaging Research Interests include: High-resolution fMRI at 7 Tesla Biophysical modeling of vascular networks Quantitative biomarkers for oxygen metabolism PET-MRI hybrid imaging systems Neurovascular coupling in mental illness Scientific Awards include: NSERC Canada Graduate Scholarship (Master's) CIHR Canada Graduate Scholarship (Doctoral) CIHR Postdoctoral Fellowship (top 10/600 applicants) NSERC Postdoctoral Fellowship (top Physics section recipient) Research Funding from NSERC, CFI, and institutional support from Carleton University and IMHR. His lab develops the open-source BOLDsωimsuite software for fMRI signal modeling and collaborates with Canada-wide vascular training programs.
Alexey Gotsman is a tenured Research Professor at the IMDEA Software Institute in Madrid, Spain, where he leads research at the intersection of software verification and distributed computing. He also works part-time as a visiting academic at Amazon Web Services. His educational background includes a Ph.D. from the University of Cambridge, where he was previously a postdoctoral fellow. His research spans theoretical foundations and practical implementations of distributed systems, with particular emphasis on fault tolerance, consensus algorithms, and consistency models. His research interests focus on the theoretical and practical aspects of distributed systems, including Byzantine fault tolerance, state machine replication, distributed transactions, and consistency models. His work bridges the gap between formal verification techniques and real-world distributed systems implementations, with numerous publications in top-tier venues like PODC, DISC, and NSDI. His recent publications show a clear progression from theoretical foundations to practical implementations, with increasing focus on real-world applications, performance considerations, and fault tolerance in large-scale distributed systems. The research demonstrates strong connections between formal methods and practical system design, particularly in the areas of consensus protocols, replication strategies, and transaction processing. Best paper award at OPODIS'23 Best paper award at DISC'18 Best paper award at CONCUR'12 EAPLS Best Dissertation Award Runner-up prize in the BCS Distinguished Dissertation Competition ERC Starting Grant 'RACCOON: A Rigorous Approach to Consistency in Cloud Databases' (2017-2022) Ramón y Cajal Fellowship (2017-2022) Alexey actively mentors PhD students including Alejandro Naser Pastoriza, Fedor Ryabinin, and Antonio José Fernández Pinto, while his alumni have gone on to faculty positions at institutions like University of Paris 7 and University of Colorado Boulder, as well as industry roles at companies like ARM and Informal Systems. He has received significant funding including an ERC Starting Grant and served on program committees for numerous top conferences including POPL, DISC, and PODC. He currently co-organizes the International Symposium on Distributed Computing (DISC) and has been instrumental in organizing workshops focused on consistency in distributed systems. His research group at IMDEA Software Institute focuses on developing rigorous approaches to consistency in cloud databases and distributed systems, with active projects spanning theoretical analysis, protocol design, and practical implementation of fault-tolerant distributed systems.
Dr Kai Li Lim is the St Baker Fellow in E-Mobility at the Dow Centre for Sustainable Engineering Innovation , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland (UQ) . Specializing in data engineering , telematics , and autonomous vehicle systems , his research examines electric vehicle (EV) usage patterns , charging reliability , and spatiotemporal data analysis to inform policy and sustainable transport strategies. Education : BEng (Hons) in Electronic and Computer Engineering (University of Nottingham), MSc in Computer Science (Lancaster University), PhD in Artificial Intelligence and Robotics (The University of Western Australia, funded by Australian Government Research Training Programme). Research Interests include: Electric vehicle telematics and data analytics Computer vision and deep learning for autonomous navigation Policy development for sustainable transport Infrastructure planning for EV and hydrogen systems Integration of cloud computing and IoT in mobility solutions Publication Trends reveal a focus on EV charging behaviors , data platform architectures , and autonomous driving frameworks , with recent work addressing regional emission disparities , modular safety systems , and online assessment integrity . Scientific Awards : St Baker Fellow in E-Mobility, Visiting Fellowship at UC Davis Electric Vehicle Research Center, Australian Government Research Training Programme (PhD funding). Supervision and Grants : Available for supervision, Dr Lim has secured funding from Energy Consumers Australia , iMove CRC , and Australian Urban Research Infrastructure Network (AURIN) for projects on EV charging incentives, freight emissions modeling, and longitudinal vehicle data databases. Labs and Collaborations : Collaborates with UC Davis Electric Vehicle Research Center , UQ School of Civil Engineering , and UQ School of Electrical Engineering and Computer Science . Leads the UQ Teslascope Project and contributes to the Green Australian Vehicle Ownership (GreenAVO) Capability for AURIN .
Benjamin Sturm is a postdoctoral researcher at the Chair of Information Infrastructures at the Technical University of Munich . His work focuses on Distributed Ledger Technology (DLT) , blockchain systems , and design science research . He has contributed to projects like COOLedger (DLT configuration analysis) and BISE Student (open access thesis platform using blockchain). Sturm’s research investigates security vulnerabilities in DLT , autonomous agent collaboration , and systematic information retrieval frameworks . His work on DLT design principles and configuration trade-offs has been published in top conferences like ICIS and HICSS . He has developed tools for transparent academic publishing using the bloxberg blockchain and IPFS for decentralized storage. Key publication trends include DLT security , blockchain configuration challenges , and methodological innovations in design science research . He collaborates with Prof. Ali Sunyaev and researchers like Niclas Kannengießer on DLT applications in cloud computing, autonomous driving, and academic infrastructure. Current projects focus on decentralized knowledge management and robustness in open multi-agent systems .
Florin Rusu is a Professor and Chair of the Department of Computer Science and Engineering at the University of California Merced, School of Engineering. He joined UC Merced in 2010 and has served in multiple administrative positions including as chair of the School of Engineering's Executive Committee and currently as chair of the Department of Computer Science and Engineering. His educational background includes a B.Eng. degree from the Technical University of Cluj-Napoca, Faculty of Automation and Computer Science (2004), and M.Sc. and Ph.D. degrees from the University of Florida in Computer Science (2008 and 2009). Rusu's research focuses on database systems and large-scale data management, with particular emphasis on designing infrastructure for Big Data analytics. His specific research areas include query processing and optimization, approximate and randomized algorithms, scalable machine learning, multi-dimensional array data management, and in-situ data processing. His work bridges theoretical aspects with practical system design issues. His research has been funded by multiple prestigious organizations including the US Department of Energy (DOE), National Science Foundation (NSF), California Department of Education, Hellman Foundation, LogicBlox, and TigerGraph. His recent publications show a continued focus on database query optimization, particularly around cardinality estimation, sketch-based methods, and innovative approaches to query plan generation. His work spans both theoretical contributions and practical implementations, with several projects transitioning into real-world database systems. Scientific Awards: DOE Early Career Award (2014) Hellman Faculty Fellowship (2013) Rusu has advised numerous graduate students through their Ph.D. and Master's programs, with many going on to successful careers at major tech companies (Google, Meta, TigerGraph) and academic positions. His research group has secured substantial funding from NSF (COMPASS project 2020-2025), DOE Early Career Award (2014-2021), TigerGraph, California Department of Education, and Hellman Foundation. His research group maintains active projects in Database Query Optimization, Scalable Gradient Descent Optimization, Array Databases, In-Situ Data Processing, GLADE, Online Aggregation, and Sketches, demonstrating a comprehensive research program spanning multiple aspects of database systems and large-scale data management.
Valeriya Nikolaeva Simeonova is an Associate Professor at the Faculty of Mathematics and Informatics, University of Sofia, specializing in Information Technologies . Her research focuses on interdisciplinary applications at the intersection of Bioinformatics , Machine Learning , and Parallel Computing , particularly for error discovery in metagenomics data and QSAR modeling in plant biology. Her work emphasizes Next-Generation Sequencing (NGS) data analysis, where she develops algorithms for error detection and correction. She has contributed to optimizing genome assembly techniques through soft computing approaches and explored distributed computing for financial time series forecasting. Notable publications include studies on Golden Root in vitro culture growth (2013) and metagenomics NGS error detection (2015) in journals like BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT . Her collaborations span institutions in Bulgaria, France, and Belgium.
Klaus Richter is an Associate Professor at the Faculty of Chemistry, University of Vienna, affiliated with the Department of Functional Materials and Catalysis. His research spans materials science, catalysis, and thermodynamics. Academic Rank: Associate Professor (ao. Univ.-Prof.) Research Focus: Phase diagrams, intermetallic compounds, vapour-solid synthesis, and catalytic applications for hydrogen production Projects: Notable work on Al-Cu-X (X=Si, Zn) phase diagrams and intermetallic nanoparticle synthesis Richter’s publications emphasize sustainable energy solutions through intermetallic catalysts, with recent studies on Ni-Te and Pt-Zn nanoparticles for green hydrogen production. His work integrates computational modeling (CALPHAD) with experimental phase analysis. Key scientific awards include the APDIC Best Paper Award (2014) and JPED Editors Choice Award (2018). He actively contributes to conferences and collaborative research in intermetallic systems.
Benjamin Bach is a Lecturer (Assistant Professor) in Design Informatics and Visualization at the University of Edinburgh , affiliated with the School of Informatics and the Centre for Design Informatics . Education : PhD in Computer Science from Université Paris Sud (2014), MSc in Computer Science (Diplom Medieninformatik) from University of Technology Dresden (2010). Research Interests focus on designing interactive visualization interfaces to explore, communicate, and understand complex data. Key areas include: Network Visualization Immersive Analytics (Augmented/Virtual Reality) Data-driven Storytelling Collaborative and Non-digital Visualization Visualization of Spatio-temporal Data Graph Databases and Dynamic Networks His work integrates these themes into tools like networkcube and Vistorian , emphasizing interdisciplinary applications in biology, neuroscience, and history. Current projects explore annotation systems, dynamic network analysis, and geographic network visualization. Scientific Awards : Honorable mention for Best PhD Thesis by IEEE Visualization Committee (2014). Supervision : Mentored 14 graduate students (MSc, MA, B.Hons) and actively seeks PhD/MSc candidates in network visualization, data storytelling, and immersive analytics. Collaboration : Works within the interdisciplinary Centre for Design Informatics , which bridges data science, design, and digital humanities.
Matthias Kalkuhl is a Professor of Climate & Growth at the University of Potsdam and Head of the Climate Economics and Policy Department at the Potsdam Institute for Climate Impact Research (PIK) . He specializes in carbon pricing mechanisms , climate policy design , and financing global public goods like climate protection and biodiversity. His work bridges theoretical economic modeling with practical policy solutions for distributional equity in decarbonization. University of Potsdam Faculty of Economics and Social Sciences PIK (Potsdam Institute for Climate Impact Research) Mercator Research Institute on Global Commons and Climate Change (MCC Berlin) [2015-2023] Research Themes : Kalkuhl focuses on CO2 pricing with compensation mechanisms (e.g., Gebäudeklimageld), geopolitical externalities of fossil fuel consumption, and carbon dioxide removal (CDR) governance. His work includes modeling clean-up certificates for EU ETS and quantifying the security dividend of climate policy. Scientific Recognition : Featured in Capital 's "Top 40 under 40" list twice, with policy briefs influencing EU climate debates. His 2024 paper on oil consumption's military costs gained significant policy attention. Key Contributions : • Quantified 37€ security savings per euro of EU oil reduction • Designed weak Pareto-improving climate mechanisms • Advocated for green-golden debt rules linking fiscal policy to emissions • Created DOSE subnational economic output database
Professor Iain Suthers is a Professor at the University of New South Wales in the School of Biological, Earth & Environmental Sciences . He is based at the Sydney Institute of Marine Science , a collaborative hub involving Sydney-based universities and government agencies. His career spans 34 years at UNSW since 1991, following a PhD in Canada and postdoctoral work in Norway and Australia. Key Research Themes Marine ecosystem dynamics influenced by the East Australian Current Larval fish ecology and connectivity Zooplankton size spectra and carbon transport Artificial reef ecology and fish passage solutions Climate change impacts on marine and estuarine systems Leadership Inaugural Chair of NSW-IMOS (2007–2012) Currently leads the IMOS Larval Fish Monitoring subfacility Methodology Oceanographic field campaigns Long-term biodiversity databases Ecological modelling Collaborative research with 6 PhD students and colleagues Recent Publications emphasize biophysical interactions in western boundary currents, larval fish recruitment, and innovative fish passage designs like the Tube Fishway. His team contributes to global databases (e.g., BioTIME 2.0) and conservation-focused studies on fish migration fragmentation and crab ecology.
Sandeep Reddivari is an Associate Professor and Interim Graduate Director at the School of Computing, University of North Florida . Holding a Ph.D. in Computer Science and Engineering from Mississippi State University, his work focuses on software engineering , particularly requirements engineering , visual analytics , and software maintenance , with funding from the NSF, US Army Corps of Engineers, NSA, and UNF Foundation. Education : Ph.D. (2014, Mississippi State University), M.S. (2009, Texas A&M University), B.Tech. (2006, JNTU) Research Themes : Requirements Engineering, Visual Analytics, Data Mining, Machine Learning, GenAI, Software Security Teaching : Courses in Software Engineering, Data Science, and Database Systems Awards : NSF Grant Recognition (2024), Best Doctoral Symposium Poster (2013), Outstanding Graduate Teaching Award Nominee (2018) Publications span top venues like IEEE RE, ICSE, and COMPSAC, with a focus on combining visual analytics and machine learning to enhance software decision-making. His lab at UNF mentors students in directed independent studies, emphasizing code navigation , blockchain , and educational software tools .
Danielle Zyngier serves as an Adjunct Assistant Professor in the Department of Chemical Engineering within the Faculty of Engineering at McMaster University. Her academic role focuses on research and teaching in process systems engineering, optimization, and control systems with industrial applications. Her research spans Chemical Engineering (54.8% of activity), Optimization Theory (18.2%), and Control Systems (9.4%). She specializes in uncertainty management for scheduling problems, sensor network design, and hybrid monitoring systems. Key application areas include cascaded hydropower systems considering electricity price variations, rail logistics, wastewater treatment processes, and offshore compression systems in oil and gas operations. Analysis of her 15 most recent publications reveals consistent focus on robust optimization frameworks for industrial processes under uncertainty. Her work bridges theoretical advancements in MILP formulations and real-time scheduling with practical implementations in energy, transportation, and environmental systems. Recent contributions (2017-2021) emphasize online scheduling for hydropower systems, while earlier work established foundations in sensor networks and soft sensors. No doctoral or master's students are listed in available records. The VIVO database indicates no currently loaded research grants, though co-author networks show established collaborations with Thomas Marlin (4 publications) and Christopher L.E. Swartz (3 publications).
Sam Scott is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He teaches undergraduate computer science and software engineering courses but does not supervise graduate students. His contact information includes phone number 905-525-9140 x22500 and email samscott@mcmaster.ca. Dr. Scott's research spans multiple interdisciplinary domains with primary interests in Natural Language Processing, Machine Learning, Cognitive Science, Philosophy of Language, and Computer Science Education. His scholarly work demonstrates a consistent trajectory from theoretical foundations in cognitive science and philosophy toward practical educational applications. He has made notable contributions to culturally responsive teaching approaches, particularly in incorporating Indigenous Ways of Knowing into computer science curriculum development. Analysis of Dr. Scott's publication history reveals an evolution from foundational work in natural language processing and philosophical inquiry toward innovative educational approaches. His recent publications show increasing focus on inclusive pedagogy, flexible assessment methods, and culturally relevant computing education. The interdisciplinary nature of his work bridges theoretical computer science with practical classroom applications. According to available information, Dr. Scott does not supervise graduate students. The VIVO database indicates no grants are currently listed for him, though the system note suggests this may represent only a small sample of his total professional activities. His teaching portfolio is extensive, covering core computer science and software engineering courses through 2025.
