Represa Pérez, César is a faculty member at the University of Burgos , affiliated with the School of Engineering . He has contributed extensively to computer science, parallel computing, and embedded systems through research articles, educational materials, and conference presentations. Education: Doctorate in Parallel & Hybrid Programming (2002). Research Areas: Parallel computing (MPI/CUDA), 3D virtual labs, sensor technology, Android applications, and embedded systems design. Key Collaborations: Co-authored works with José María Cámara Nebreda, Pedro L. Sánchez Ortega, and others on technical education and hardware-software integration. Recent Trends: Focus on smartphone-driven sensors, additive manufacturing monitoring, and educational tools for engineering students.
Prof. Tatiana Ilyina is a Professor of Earth System Sciences at the University of Hamburg and Helmholtz-Zentrum Hereon, with a focus on carbon cycle modeling. She leads the Ocean Biogeochemistry group at the Max Planck Institute for Meteorology (MPI-M). Her research explores ocean-atmosphere CO2 interactions, climate variability, and high-resolution Earth system modeling. Key areas include predicting CO2 sink behavior under emission changes, coastal ocean dynamics, and ultra-high-resolution ICON model applications. Education: PhD in 2006 and habilitation in 2022 from the University of Hamburg. Postdoctoral work at the University of Hawaii and the Danish Meteorological Institute. Collaborates extensively within CLICCS (Cluster of Excellence) and chairs the World Climate Research Programme's Coupled Modeling Working Group (WGCM). Research interests span carbon cycle predictability, ENSO impacts, and Arctic permafrost effects. She develops models to address policy-relevant questions like emission reduction pathways and decadal climate predictability. Teaches courses on Earth system dynamics and carbon cycle science. Notable contributions include advancing ICON model resolutions, quantifying permafrost erosion impacts, and co-chairing global climate modeling initiatives. Her work informs the Global Carbon Budget and supports international climate policy frameworks.
Nicholas Bedford is a Research Professor in the Chemistry Department at the Colorado School of Mines. His research focuses on structure-property relationships in materials for catalysis, engineering materials, and sensors. Prior to academia, he worked at the Air Force Research Laboratory (2017-2018), serving as a contractor (2016-2017), NRC Postdoctoral Associate (2012-2014), and graduate scholar (2009-2011). He holds a Ph.D. in Materials Science from the University of Cincinnati and B.S. degrees in Chemistry and Physics from Central Michigan University. Bedford’s work spans advanced materials for energy storage, environmental remediation, and electrocatalysis. His group develops nanomaterials for CO 2 reduction, hydrogen storage, and defect-engineered catalysts. Recent studies include layered double hydroxides, MOF composites, and high-entropy alloys for energy applications. Notable contributions include understanding atomic-scale mechanisms in polymer-derived ceramics and optimizing nanoscale structures for enhanced catalytic performance. His research often integrates experimental and computational methods, such as reverse Monte Carlo simulations and operando X-ray diffraction. Bedford’s articles highlight advancements in electrocatalytic systems, including CO 2 conversion, urea oxidation, and lithium-mediated redox reactions. His lab emphasizes sustainable materials design for renewable energy and environmental sustainability. Scientific awards and grants are not explicitly mentioned, though his extensive publication record reflects sustained research excellence. He advises the Bedford Research Group, focusing on interdisciplinary materials innovation.
Heriberto Avelino is a researcher at the National Institute of Anthropology and History, Mexico, with a strong academic background in linguistics, holding master's and doctoral degrees from the University of California, Los Angeles (UCLA). He has held postdoctoral positions at the University of California, Berkeley, and the Cognitive Brain Research Unit at the University of Helsinki, Finland. He has served as a professor at UCLA, UC Berkeley, Stanford University, and the University of Toronto, and has delivered courses and seminars at numerous international institutions including Leiden University, Uppsala University, and the Hebrew University of Jerusalem. He was a group leader at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, and is currently conducting research on language, migration, and superdiversity at the MPI-MMG. His research lies at the intersection of cognitive neuroscience and linguistic documentation, focusing on endangered and indigenous languages, particularly in diasporic and migratory contexts. His work explores neural mechanisms of tone and duration processing in speech, language attrition, and the sociolinguistic ecology of variation. He has conducted extensive fieldwork in Mexico, the Amazon (Peru, Colombia), Borneo, and the United States. His scholarly output includes approximately twenty research articles, a trilingual Zapotec-English-Spanish dictionary, and editorial roles in significant publications such as New Perspectives in Mayan Linguistics and Laryngeal Features in Languages of the Americas . He is the chief editor of the book series Studies of Amerindian Linguistics published by Language Science Press. His research has been supported by prestigious funding bodies including DFG, MEXUS, Fulbright, and CONACYT. Heriberto Avelino has delivered keynote addresses at leading academic institutions such as Yale University, MIT, UC Berkeley, and the University of New Mexico, underscoring his international recognition in the field of linguistics and cognitive science. Distinguished researcher in endangered language documentation and cognitive neuroscience Extensive teaching and guest lecturing experience across North America, Europe, and Latin America Editorial leadership in Amerindian linguistics Fieldwork spanning multiple continents with focus on indigenous communities Recipient of competitive international research funding
Mario Cesar Acosta Cobos is a Researcher at the Department of Computer Architecture of the Barcelona School of Informatics (FIB) at the Universitat Politècnica de Catalunya (UPC). His work focuses on optimizing computational performance and energy efficiency in Earth system models, particularly within the EC-Earth3 framework for the Coupled Model Intercomparison Project (CMIP6). He collaborates extensively with the Barcelona Supercomputing Center (BSC) and other international institutions. Key research interests include high-performance computing , climate modeling , parallel computing , and scientific data compression . His contributions address challenges like workflow optimization for HPC platforms, GPU acceleration for atmospheric chemistry models, and minimizing computational costs in Earth system simulations. Recent work highlights include analyzing the computational and energy costs of CMIP6 simulations, improving EC-Earth3 coupling efficiency, and developing optimized GPU implementations for atmospheric chemistry solvers. His publications span journals like Geoscientific Model Development , Computer Physics Communications , and Future Generation Computer Systems . Acosta Cobos has been involved in collaborative projects such as the Joint-Laboratory of Extreme Scale Computing and contributed to HighResMIP, focusing on high-resolution climate models. His research bridges computational science with environmental applications, emphasizing reproducibility, scalability, and sustainable computing practices.
Michalis Kokologiannakis is an Assistant Professor in the Department of Computer Science at ETH Zurich, Switzerland. Previously, he was affiliated with the Max Planck Institute for Software Systems (MPI-SWS) in Germany where he completed his PhD. His research focuses on programming languages, compilers, and software verification, with particular emphasis on: Automated verification and testing of concurrent programs Weak memory models employed by modern microprocessors Stateless model checking techniques Formal methods for program analysis His work has led to the development of several verification tools including GenMC (a stateless model checker for C/C++ programs under weak memory models) and Kater (a tool that automates weak memory model metatheory and consistency checking). Dr. Kokologiannakis has published extensively at top-tier programming languages and verification conferences including PLDI, POPL, OOPSLA, and CAV. His research has pioneered advances in stateless model checking, partial order reduction, and verification under weak memory consistency models. He completed his MEng at the National Technical University of Athens (NTUA) before earning his PhD from MPI-SWS.
Sidharth Kumar is an Associate Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC), where he leads research in high-performance computing and data visualization. He joined UIC in August 2023 after previously working at the University of Alabama at Birmingham. His research focuses on developing scalable algorithms and data structures for data-intensive applications, intersecting HPC, visualization, databases, and machine learning. Education: Ph.D. in Computing (2016) from the University of Utah's Scientific Computing and Imaging Institute, advised by Valerio Pascucci. Bachelor of Technology in Information and Communication Technology (2009) from DAIICT, Gandhinagar, India. Research Interests: Dr. Kumar's work centers on parallel I/O, GPU acceleration, big data processing, and scientific visualization. His projects include: 1) Exascale data management systems, 2) GPU-accelerated web visualization, 3) Declarative analytics frameworks, and 4) Topology-driven analysis for neuroscience and virology. He develops solutions for memory-constrained environments and heterogeneous systems. Publication Trends: Recent works (2023-2025) demonstrate strong focus on GPU-accelerated databases (Datalog optimizations), parallel communication algorithms (all-to-all collectives), memory-efficient visualization techniques (speculative raycasting), and applied topological analysis (brain networks, virus taxonomy). His publications consistently appear in top-tier HPC and visualization venues. Awards & Honors: Best Paper Awards: IEEE HiPC (2019), ISC Hans Meuer (2020), LDAV (2023) Honorable Mention: PacificVis (2025) Poster Awards: SC23 Finalist, HiPC SRS (2021) NSF EPSCoR Research Fellow (2022) Grants & Advising: NSF PPoSS Large: Declarative Analytics ($960K PI) NSF SHF: Scalable I/O Runtime ($300K PI) NSF EPSCoR: Relational Algebra ($265K PI) Advises 6 PhD students in HPC and visualization research Lab & Service: Leads a research team working on exascale computing challenges. Serves on technical committees for SC, ISC, IPDPS, and HiPC conferences. Teaches courses in Database Systems, Algorithms, and Data Visualization.
Vassilios V. Dimakopoulos is a Professor of Parallel Processing at the Department of Computer Science and Engineering, University of Ioannina, Greece. He has been affiliated with the university since 1998, initially as an adjunct professor and later as a regular faculty member. Currently, he serves as the Dean of the School of Engineering and Chairman of the Technical Council of the University of Ioannina. His academic journey includes a Diploma in Computer Engineering from the University of Patras (1990), and M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Victoria, Canada (1992 and 1996, respectively). His research focuses on parallel and distributed systems, parallel programming models, systems software, computer architecture, embedded systems, and performance analysis. He has held administrative roles such as Deputy Chairman of the Department (2014–2017) and Director of Graduate Studies (2016–2020). His contributions include pioneering work on OpenMP runtime systems, adaptive scheduling for embedded multicore architectures, and probabilistic search protocols in dynamic networks. Dimakopoulos is a member of the IEEE and the Technical Chamber of Greece. His work emphasizes bridging compiler design, runtime systems, and hardware constraints to optimize parallel computing efficiency. Recent research trends include hybrid OpenMP-MPI offloading strategies, adaptive task scheduling in heterogeneous environments, and fog computing cost modeling. His administrative leadership spans multiple institutional committees, reflecting his dual role as an academic leader and researcher. His research group collaborates on projects involving high-performance numerical optimization, task-based global optimization for protein folding, and embedded systems integration.
Daniel Belsky, PhD, is an Associate Professor of Epidemiology at Columbia University's Mailman School of Public Health, with a joint appointment at the Robert N. Butler Columbia Aging Center. His research sits at the intersection of public health, population science, and genomics, focusing on how genes and environments combine to shape health across the life course with the goal of reducing social inequalities in aging outcomes. Dr. Belsky received his BA from Swarthmore College in 2002 and his PhD in Health Policy & Management from the University of North Carolina at Chapel Hill Gillings School of Public Health in 2012. He completed postdoctoral training at Duke University Medical Center's Center for the Study of Aging and Human Development. His academic appointments include Assistant Professor at Duke University School of Medicine (2015-2018) before joining Columbia University in 2018 as Assistant Professor, achieving promotion to Associate Professor with tenure in 2023. His research focuses on understanding how genes and environments interact to influence aging processes, with particular emphasis on developing and applying methods to quantify biological aging. His work includes developing the Pace of Aging (DunedinPoAm) method and translating it into DNA-methylation blood tests. Current NIH-funded projects examine caloric restriction effects on aging (CALERIE), long-term impacts of prenatal famine exposure (Dutch Hunger Winter Family Study), and the potential of anti-poverty interventions to slow biological aging (MyGoals for Healthy Aging). Analysis of his recent publications reveals a strong focus on biological aging biomarkers, particularly DNA methylation clocks, and their relationship to social determinants of health, cognitive outcomes, and interventions that might slow aging processes. His work spans epidemiological methods development, application to major cohort studies, and intervention trials. 2023 Academy of Behavioral Medicine Neal Miller New Investigator Award 2023 University of Rochester Aging Research Day Keynote Speaker 2020 American Journal of Epidemiology Reviewer of the Year 2020- ISI Highly Cited Scholar 2019 Canadian Institute for Advanced Research (CIFAR) CBD Network Fellow 2018 Jacobs Foundation Young Scholar 2015 Jacobs Foundation Early Career Research Fellowship 2014 National Institute on Aging Butler Williams Scholar 2012 NIH Loan Repayment Program Award Dr. Belsky serves on editorial boards for Journals of Gerontology and Demography. His research is supported by multiple NIH grants as PI/MPI, including R01AG087158 on cash transfers and Alzheimer's risk, R01AG073402 for the MyGoals for Healthy Aging trial, R01AG066887 for the Dutch Hunger Winter Families Study, and R01AG061378 for genomic analysis of the CALERIE trial. He is also involved with the PROMENTA Research Center, which examines mental health and well-being across multiple levels of analysis from genetic risk to socio-cultural context.
Rodolphe Lepigre is a researcher in computer science affiliated with the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, within Derek Dreyer's group. He holds a Researcher academic rank. His work focuses on formal methods, programming languages, and type systems. Previously, he was a postdoctoral researcher at Inria (Deducteam project) and completed his PhD at Université Savoie Mont Blanc in the LAMA laboratory. Research Interests: His research spans formal verification of concurrent systems, separation logic, proof assistants, and the integration of program certification within ML-style languages. He has contributed to projects like PML₂ and RefinedC, aiming to bridge practical programming with formal guarantees. Key Contributions: His work includes the VIP framework for verifying C idioms, extensions to separation logic with prophecy variables, and foundational type systems for Curry-style languages. He has also developed tools like the Dedukti logical framework and the Bindlib library for OCaml. Awards: Recipient of the PLDI 2021 Distinguished Paper and Artifact Awards for contributions to C code verification. His work on RefinedC highlights advancements in automated verification tools. Grants & Collaborations: Collaborations include projects with Inria, MPI-SWS, and contributions to open-source tools like the PML₂ language and the Lambdapi proof assistant. His research is supported by grants from European and German research institutions.
Denis Sumin is a Researcher at the Max Planck Institute for Informatics (MPI-INF), Department of Computer Graphics. His work focuses on advancing 3D printing technologies and computer vision through computational methods, with a strong emphasis on material appearance reproduction and scattering-aware fabrication. He holds a Ph.D. student status at the Universität des Saarlandes since 2016, under the Saarland Informatics Campus. His research integrates principles from computer graphics, additive manufacturing, and machine learning to solve challenges in light scattering compensation, material optimization, and object detection. Education: Ph.D. student in Computer Science (Universität des Saarlandes, 2016–present), Specialist’s degree from Moscow State University (2008–2013), and high school diploma from Lyceum 1533, Moscow (2008). Research interests include 3D printing, digital fabrication, computer vision, and machine learning. His projects often involve collaborations with industrial partners like Stratasys, focusing on practical implementations of theoretical advancements. Key contributions include scattering-aware texture optimization and neural acceleration techniques for 3D printing processes. His work has been supported by grants from European Union’s Horizon 2020 (Marie Skłodowska-Curie grant), ERC (MATERIALIZABLE), and Czech Science Foundation. He has published extensively in top-tier venues like ACM Transactions on Graphics (SIGGRAPH), CVPR, and Optics Express, with a focus on bridging computational methods and real-world manufacturing challenges.
Prof. Jesper Larsson Träff is a Full Professor and Head of the Research Unit in Parallel Computing at Technische Universität Wien (TU Wien). His academic role is centered within the Department of Computer Engineering. He holds an MSc and PhD, and has contributed extensively to the field of parallel computing through his research and leadership in international projects. His research focuses on parallel algorithms, scheduling, and optimization of the Message Passing Interface (MPI), with emphasis on high-performance computing (HPC) systems and distributed architectures. Key projects include the Process Mapping initiative (2019–2024), Autotune (2021–2025), and contributions to Exascale Programming Models. He has also led efforts in evaluating MPI performance tools and their reproducibility challenges. Research Areas: Parallel Algorithms, MPI Optimization, HPC, Process Mapping, Collective Communication, and Memory Models. Notable Achievements: Awarded the Best Paper at EuroMPI 2014 and recognized by the Innovation Radar for his work on PGAS-based MPI interoperability in 2018. Teaching: Teaches courses such as Advanced Multiprocessor Programming, Bachelor/Master Thesis supervision, and seminars in Computer Engineering and Theoretical Computer Science. Prof. Träff’s advising includes students researching topics like lock-free data structures, MPI datatype optimization, and task scheduling. His grants span Austrian and EU funding bodies, addressing challenges in exascale computing and reproducible experimental research. He is affiliated with the Vienna Mapping and Sparse Quadratic Assignment (Vienna Mapping) project and actively contributes to international workshops and conferences.
Christoph Weidenbach is an Adjunct Professor in the Computer Science department at Saarland University, Germany, and the head of the research group Automation of Logic at the Max-Planck-Institute for Informatics. His work focuses on automated deduction, decision procedures, and theorem proving, particularly in the context of first-order logic and decidable fragments. He has been actively involved in the development of automated verification tools and techniques, including SAT solvers and SMT frameworks. Education: Diplom (1989), PhD (1996), Habilitation (2000), all in Computer Science at Saarland University. Current Roles: Research Leader (Automation of Logic group, MPI) since 2005; Adjunct Professor (Saarland University) since 2007. Past Roles: Research Coordinator (MPI, 1999-2005); IT Manager (GM Powertrain Europe, 1991-1999). His recent publications highlight trends in automated deduction, formal verification, and constraint solving, with applications in linear arithmetic, network protocols, and semantic web reasoning. He has also contributed to the theoretical foundations of superposition calculi and SCL(FOL) extensions.
Luís Gonçalo Lecoq Vences e Costa Cancela is an Associate Professor at ISCTE-IUL (Higher Institute of Labor and Business Sciences), where he is affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications - IUL, contributing to the Optical Communications and Photonics Group. His academic roles include past leadership as Deputy Director of both the Department and the Institute, and active participation in scientific and pedagogical committees. PhD in Information Sciences and Technologies, ISCTE-IUL (2008) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1998) Bachelor’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1993) His research centers on optical communications, particularly the modeling and mitigation of physical layer impairments in optical networks. He investigates crosstalk, coherent multipath interference (MPI), and the performance of differential phase-shift keying (DPSK, DQPSK) systems. His work supports the design and optimization of reconfigurable optical add-drop multiplexers (ROADMs) and multi-band (C+L+S) optical networks, with a strong emphasis on impairment-aware planning and signal quality assessment. His recent publications focus on advanced modeling techniques such as Gaussian noise models and skew-normal distributions to evaluate transmission reach and signal degradation. He explores algorithmic solutions like graph coloring and tabu search for wavelength assignment and analyzes the cost, power, and performance tradeoffs in next-generation ROADM architectures. His work is frequently published in journals like Optical Fiber Technology and presented at major conferences including ICTON and IEEE Photonics Conference. Scientific Awards: No specific awards mentioned in the provided text. He has advised students and contributed to academic management, including serving as ECTS Coordinator. He collaborates extensively with researchers such as J. Pires and J. Rebola. His email is affiliated with ISCTE-IUL. There is no indication of part-time status, retirement, or former staff status.
Gül Varol is an Associate Professor (permanent researcher) in the IMAGINE group at École des Ponts ParisTech. She holds an ELLIS Scholar distinction and collaborates with MPI. Previously, she was a postdoc at the University of Oxford’s Visual Geometry Group (VGG). Her PhD from Inria Paris/ENS under Ivan Laptev and Cordelia Schmid earned her ELLIS and AFRIF awards. She earned BS/MS degrees from Boğaziçi University. Research Focus: Her work bridges computer vision and language, emphasizing video understanding, human motion synthesis, and sign language technologies. Notable contributions include the BOBSL dataset (BSL), SLRTP challenge, and methods for sign language translation/contextual retrieval. She also pioneers text-driven 3D motion editing (MotionFix) and video chaptering with LLMs (Chapter-Llama). Awards & Service: Received Google Research Scholar Award (2023), ECCV 2024 Program Chair, IJCV associate editor, and leadership in workshops like NeurIPS’20 Preregistration and CVPR’25 Sign Language. Organized over 15 conferences/workshops since 2017. Labs & Teams: Core member of IMAGINE (LIGM lab), collaborates with MPI and industry (Google/Adobe). Active in outreach initiatives like Women in CV and Girls Who Code.
