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Nimisha RoyView profile

Lecturer

Georgia Institute of TechnologyUnited States

Nimisha Roy is a Lecturer in the School of Computing Instruction (SCI) at Georgia Tech's College of Computing, teaching undergraduate and graduate courses in Computer Science, including Software Engineering, Machine Learning, and the CS Capstone. She also instructs in the Online Master of Science in Analytics (OMSA) program. Her research focuses on AI-driven pedagogical innovation, generative AI, and infrastructure resilience. Dr. Roy holds a Ph.D. in Computational Science and Engineering from Georgia Tech (2021), with NSF-funded work on scientific computing and data-driven modeling of physical systems. Her research interests bridge computing and real-world applications, emphasizing AI in education and sustainable practices. She has advised students across academic levels and published over 30 peer-reviewed works. Notably, she was honored as one of the top 75 Indian women in Geotechnical Engineering (2023) and received teaching awards including the Provost Teaching Fellowship (2024) and William D. Leahy Jr. Outstanding Instructor Award (2025). She also serves on the editorial board of Nature's Scientific Reports and collaborated with EPFL, Switzerland. Her research trends emphasize AI integration into education (e.g., automated grading tools like VISGRADER), disaster resilience through machine learning (e.g., earthquake damage assessment via social media images), and sustainable infrastructure design. She has pioneered active learning strategies using video tutorials and student-created content, enhancing large-classroom engagement. Her work spans geotechnical engineering applications (e.g., landslide mapping) and materials science (e.g., MICP-cemented sands). Awards: Top 75 Indian Women Leaders in Geotechnical Engineering, Provost Teaching Fellowship, Transformative Teaching Grant, Sustainability Education Award, Leahy Instructor Award Grants: NSF-funded doctoral research, Transformative Teaching Innovation Incubator Grant Dr. Roy leads initiatives in equitable grading practices and rubric development for teaching assistants. She actively contributes to interdisciplinary research teams and participates in international academic collaborations. Her lab focuses on leveraging AI to solve complex engineering and educational challenges.

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Andrew R ZentnerView profile

Professor

University of PittsburghUnited States

Andrew R Zentner is a Professor and Department Chairperson in the Department of Physics & Astronomy at the University of Pittsburgh, part of the Dietrich School of Arts and Sciences. He holds a B.S. in Electrical Engineering from Cooper Union and a Ph.D. in Physics from The Ohio State University. His research focuses on theoretical cosmology, including dark matter and dark energy dynamics, galaxy formation, and observational cosmology. He leads a research group with four graduate students and undergraduate researchers, funded by the NSF and DOE. His work integrates advanced simulations and data analysis to address fundamental questions in astrophysics. Zentner has held postdoctoral positions at the Kavli Institute for Cosmological Physics and the University of Chicago before joining Pitt in 2007. He organizes academic events and contributes to public outreach initiatives. Education: Bachelor of Science in Electrical Engineering, Cooper Union (New York City) Ph.D. in Physics, The Ohio State University (2003) Research Interests: Cosmology: Dark matter dynamics, dark energy constraints, and large-scale structure formation Galaxy Formation: Role of baryonic processes and merger histories in shaping galactic structures Weak Lensing: Applications to testing gravity and constraining cosmological parameters Indirect Dark Matter Detection: Gamma-ray and neutrino signatures from annihilation/capture processes Advising & Funding: Current advisees: Andrew Hearin, Mei-Yu Wang, Advait Salgarkar, Shailendra Vikas, and others Funding: NSF Astronomy & Astrophysics grants, DOE Office of Science Labs/Teams: Active contributor to Pitt's Astrophysics & Cosmology Group, maintaining a collaborative wiki and calendar for event coordination.

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Juliano NietiedtView profile

Research Fellow

The University of Western AustraliaAustralia

Juliano Nietiedt is a Research Fellow at the UWA Oceans Institute, specializing in anchoring systems for floating offshore wind energy. He holds a PhD in Offshore Geotechnical Engineering from UWA (2022), an M.Sc. in Geotechnical Engineering from Universidade Federal do Rio de Janeiro (2018), and a B.Eng. in Civil Engineering from Universidade Federal do Rio Grande do Sul (2014). His research focuses on offshore geotechnical engineering, centrifuge modeling, and numerical analysis of pile foundations and anchoring systems. Education: PhD: Offshore Geotechnical Engineering (UWA, 2022) M.Sc.: Geotechnical Engineering (UFRJ, 2018) B.Eng.: Civil Engineering (UFRGS, 2014) His research interests span geotechnical challenges in offshore wind energy, including pile tip damage assessment, helical anchor systems, and centrifuge modeling. He leads industry-linked projects such as securing floating wind developments with helical anchors, collaborating with the University of Dundee and Ocean Infinity Australia. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Recent publications highlight advancements in helical anchor performance, boulder damage during monopile installation, and centrifuge modeling techniques. He actively advises a PhD student and engages in consultancy work for geotechnical engineering projects. Advising & Industry Projects: Supervision of a PhD student Consultancy for Fugro GeoConsulting (2022–2023) Collaborative projects with Ocean Infinity and Geowynd Offshore Engineering Juliano is affiliated with the UWA Oceans Institute and COFS, contributing to interdisciplinary teams advancing offshore renewable energy infrastructure.

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Vinny GuptaView profile

Assistant Professor

University of WaterlooCanada

Vinny Gupta is an Assistant Professor in Fire Safety Engineering at the Department of Mechanical and Mechatronics Engineering, University of Waterloo, and a member of the Fire Research Group. His work focuses on emerging fire hazards such as battery energy storage, tall building architecture, and sustainable construction materials. He is actively engaged in research and teaching, with a strong emphasis on advancing fire safety through experimental and diagnostic techniques. Education: Doctorate (Fire Safety Engineering), The University of Queensland, Australia (2021) Bachelor's (Mechanical Engineering), The University of Queensland, Australia (2015) Research Interests: Fire dynamics Li-ion battery fire and explosions Laser diagnostics Wildland fires Timber buildings Fire safety of mass timber buildings Fire suppression Fire Safety Engineering Recent research trends include investigating lithium-ion battery thermal runaway, advancing laser diagnostic techniques for fire analysis, and developing fire safety frameworks for mass timber structures. His work leverages the state-of-the-art UW Large Fire Research Facility for large-scale testing. Awards: 2025 Distinguished Paper Award, 40th International Symposium on Combustion 2021 Sheldon Tieszen Student Award, International Forum of Fire Research Directors 2019 APC1SS Best Poster Prize, 1st Asia-Pacific Combustion Institute Summer School Teaching and Advising: Vinny teaches courses such as ME 567 (Fire Safety Engineering) and ME 671 (Fundamental Fire Dynamics). He is currently accepting graduate students. His lab focuses on collaborative projects involving fire dynamics and suppression methodologies. Labs and Facilities: A core member of the UW Fire Research Group, Vinny utilizes the Large Fire Research Facility for experimental studies on fire suppression, timber fire behavior, and large-scale compartment fires.

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Aneka KļaviņaView profile

Lecturer

Riga Stradins UniversityLatvia

Aneka Kļaviņa is an Acting Lecturer at the Department of Occupational and Environmental Medicine, Faculty of Medicine, Riga Stradins University. Her work integrates environmental science and public health, with a strong focus on indoor air quality, occupational exposures, and sustainable materials such as sapropel. She actively contributes to EU-funded research projects including PARC under Horizon Europe and national grants supporting doctoral research. Acting Lecturer, Department of Occupational and Environmental Medicine, Riga Stradins University Expert, European Partnership for the Assessment of Risks from Chemicals (PARC), Horizon Europe Participant, Occupational Health and Safety Risks during 3D Printing, RSU Grant Expert (PhD student), Support for Involving Doctoral Students in Scientific Research, EU Structural Funds Her research interests center on occupational and environmental health , particularly indoor air quality assessment , exposure to pollutants in emerging technologies (e.g., 3D printing) , and the therapeutic potential of natural bioactive substances like humic and fulvic acids from sapropel. She investigates both environmental monitoring and human health impacts, aligning her work with UN Sustainable Development Goal 3: Good Health and Well-being. Her recent publications reflect a multidisciplinary approach spanning environmental toxicology , occupational hygiene , green chemistry , and dermatological applications of natural extracts . Trends show increasing focus on real-world exposure assessment, policy-relevant guidelines for indoor air certification, and the development of sustainable, bioactive materials for health applications. Scientific Awards and Recognition No formal awards listed in the provided text. Advising and Grants : While no direct list of students is provided, Aneka Kļaviņa has participated as an expert (PhD student) in a large-scale EU-funded project supporting doctoral education, indicating active engagement in academic training. She has secured and contributed to multiple competitive grants, including Horizon Europe (PARC), RSU internal grants, and EU Structural Funds, demonstrating strong grant-writing and collaborative research capabilities. Labs and Teams : She is affiliated with the Institute of Occupational Safety and Environmental Health at Riga Stradins University and collaborates closely with researchers such as I. Pavlovska, I. Mārtiņsone, Ž. Martinsone, and L. Paegle. Her work involves interdisciplinary teams integrating environmental science, medicine, and policy development.

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Alan HeavensView profile

Professor

Imperial College LondonUnited Kingdom

Professor Alan Heavens is a cosmologist and astrophysicist at Imperial College London's Department of Physics, part of the Faculty of Natural Sciences. His primary research focuses on dark matter, dark energy, gravitational lensing, and cosmological models. He has contributed to projects like the Euclid mission and co-led the CosmoVerse initiative addressing observational tensions in cosmology. He has also engaged in interdisciplinary work, including studies on medical treatments for severe cases of SARS-CoV-2 infections through the RECOVERY trials. Heavens' cosmological research explores fundamental physics questions, such as testing Einstein's gravity theory and analyzing the Standard Cosmological Model's limitations. His techniques include Bayesian inference, data compression, and machine learning applied to cosmic surveys. Notable collaborations include work on weak lensing, cosmic shear, and parameter inference from galaxy surveys. His publications span cosmology, astrophysics, and medical research, reflecting his dual engagement in theoretical physics and applied clinical studies. He has advised on large-scale observational projects and contributed to international initiatives like the Snowmass 2021 process. No specific awards or grants are detailed in the provided texts, though his active research profile suggests significant contributions to the field.

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Sandrine AubrunView profile

Professor

École Centrale de NantesFrance

Sandrine Aubrun is a Full Professor at Centrale Nantes, affiliated with the Hydraulic, Environment, Energy and Aeronautics Laboratory (LHEEA). Her research focuses on offshore wind energy, particularly aerodynamics of floating wind turbines and wake dynamics. She holds a mechanical engineering degree from Strasbourg, a master’s and PhD in fluid mechanics from Toulouse, and completed a postdoc in Germany studying atmospheric pollutant dispersion. Research Interests : Her work addresses turbine-wake interactions, floating turbine motions, and large-scale atmospheric effects. Key facilities include the LHEEA wind tunnel and SEM-REV full-scale offshore test site. Recent projects include coordinating the Flower EU project on floating wind energy and the Oracle multidisciplinary cluster in Nantes. Collaborations : Active in European/national projects, she collaborates with researchers across disciplines and leverages Centrale Nantes’ research support and communication teams to advance project development and result dissemination. Future Prospects : Continues leading the Flower project and expanding offshore wind research through experimental and numerical studies, emphasizing sustainable energy solutions and cross-institutional collaboration.

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VICENTE GONZALEZ MILLANView profile

Professor

University of ValenciaSpain

Vicente González Millán is a full Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. His work bridges electronics technology and nuclear physics, with strong involvement in international collaborations such as CERN, AGATA, and NEDA. His research focuses on the development of advanced radiation-hard semiconductor sensors, particularly the MALTA series of monolithic active pixel sensors, for applications in high-energy and nuclear physics experiments. He is actively involved in detector design, signal processing, FPGA-based data acquisition systems, and real-time data analysis techniques. His work supports cutting-edge experiments in nuclear structure, particle detection, and medical physics instrumentation. The recent publications show a consistent focus on detector development, sensor characterization, and data acquisition systems. Key themes include radiation hardness, timing performance, charge calibration, and the use of machine learning for event reconstruction in neutron detection arrays. The work is highly experimental and closely tied to large-scale facilities like CERN and GANIL. He leads or is a core member of two research groups: i2N (Electronic Instrumentation in Medical and Nuclear Physics) and IRIMED (Research in Radiophysics and Nuclear Instrumentation in Medicine), highlighting the dual application of his work in both fundamental physics and medical technology. While no specific awards are listed, his sustained publication record and leadership in major detector projects indicate significant recognition in the field. He also contributes to the development of real-time trigger systems, digital front-end electronics, and FPGA-based solutions for gamma and neutron spectroscopy.

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Zhuowen TuView profile

Professor

University of California, San DiegoUnited States

Zhuowen Tu is a Professor in the Department of Cognitive Science at the University of California, San Diego (UCSD), with an affiliate appointment in the Department of Computer Science and Engineering. He leads the Machine Learning, Perception, and Cognition Lab (mlPC), where his research lies at the intersection of computer vision, machine learning, deep learning, natural language processing, and neural computation, focusing on statistical models for structured, large-scale, and multi-modal data. He received his Ph.D. from The Ohio State University and held faculty positions at UCLA before joining UCSD in 2013. He also served as a Lead Researcher at Microsoft Research Asia (2011–2013) and was an Amazon Scholar (2021–2022). His academic trajectory includes progression from Assistant to Associate and then Full Professor at UCSD. His research interests span computer vision , deep learning , generative modeling , vision-language models , diffusion models , and structured prediction . He has made seminal contributions to image parsing, auto-context models, introspective neural networks, and holistically-nested edge detection. His recent work emphasizes Bayesian diffusion models, panoptic 3D parsing, and multimodal learning. The analysis of his recent publications shows a strong trend toward diffusion-based generative modeling , particularly in 3D vision, image restoration, and vision-language tasks. He also continues to advance work in multimodal understanding, continual learning, and efficient transformers. His lab actively publishes in top venues such as CVPR, ICCV, NeurIPS, and TPAMI. Selected Scientific Awards and Honors: IEEE Fellow David Marr Prize (2003) David Marr Prize Honorable Mention (2015) NSF CAREER Award (2009) Test-of-Time Award, AISTATS 2025 (for Deeply-Supervised Nets) First Prize, MICCAI Grand Challenge on Caudate Segmentation (2007) Talbert Abrams Award Honorable Mention (2003) Advising and Grants: He has advised numerous PhD students who are now faculty at NYU, CMU, and Stanford, or research scientists at Apple, Microsoft, Intel, and Facebook. His lab has been supported by significant grants from the National Science Foundation (NSF) , Office of Naval Research (ONR) , Intel , Qualcomm , Samsung , and Northrop Grumman . Current and recent grants include NSF IIS-2433768 on Bayesian Diffusion Models and NSF IIS-2127544 on Panoptic 3D Parsing. Laboratories and Teams: He leads the Machine Learning, Perception, and Cognition Lab (mlPC) at UCSD, which brings together students and researchers working on fundamental and applied problems in AI, vision, and cognition. The lab has strong collaborations with industry and other academic institutions.

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Sondre Sæther BollandView profile

Researcher

University of BergenNorway

Sondre Sæther Bolland is a PhD student (Stipendiat) at the Department of Informatics, University of Bergen, Faculty of Mathematics and Natural Sciences. His work is centered on improving programming instruction in higher education through empirical research and educational innovation. His research interests focus on computer science education , particularly how students' prior programming knowledge and sense of belonging influence learning outcomes. He investigates student effort, attrition, performance, and engagement within the context of introductory computer science courses. His work bridges educational theory, psychology, and computing pedagogy. The recent publications reflect a strong trend in introductory programming education , with emphasis on curriculum design (CS1/CS2), assessment of prior knowledge, grading policies, and psychosocial factors. Projects like the Nordic Prior Knowledge Test and PIKA demonstrate a commitment to large-scale, evidence-based improvements in teaching practices. Scientific Awards : No awards are mentioned in the provided texts. Sondre has been actively involved in teaching, serving as a course instructor for Object-Oriented Programming and a teaching assistant for Algorithms, Data Structures and Programming and Object-Oriented Programming . He has also been a group leader for several foundational courses. His research is supported by funding from the Norwegian Directorate for Higher Education and Competence (HK-dir), particularly through the SFU project. He supervises no students listed, but leads collaborative research projects involving multiple institutions. He leads the PIKA (Prior Informatics Knowledge Assessment) project, an international effort to map incoming students' programming knowledge. He is also involved in developing research tools such as the Learning Space Expert Query Tool and contributes to open-source software on GitHub. His work is conducted within the Didactics research group at the Department of Informatics.

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Yanlin ShaoView profile

Associate Professor

Technical University of DenmarkDenmark

Yanlin Shao is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he also serves as the study lead for the Nordic Master in Maritime Engineering programme. His research lies at the intersection of marine hydrodynamics, coastal engineering, and renewable energy systems, focusing on the interaction between ocean waves and marine structures including ships, offshore platforms, floating wind and wave energy converters, and marine aquaculture systems. PhD in Marine Hydrodynamics, Norwegian University of Science and Technology (2010) MSc, Shanghai Jiao Tong University (2006) BSc, Tianjin University (1999–2003) His research expertise includes wave-structure interaction, sloshing dynamics, mooring systems, boundary element methods, and computational fluid dynamics (CFD). He investigates both linear and nonlinear hydrodynamic phenomena, particularly in time-domain simulations of floating structures with large motions. His work supports the development of sustainable offshore technologies aligned with UN Sustainable Development Goals. The most recent publications reflect a strong trend toward renewable energy and sustainable aquaculture, with a focus on CFD modeling, experimental validation, and multi-body hydrodynamic interactions. Key themes include floating wave energy converters, gap resonance in side-by-side barges, hydrodynamics of flexible seaweed mimics, and LNG bunkering operations. His research combines theoretical modeling, numerical simulation, and experimental validation to advance offshore engineering solutions. Scientific Awards: Associate Editor Award, ASME Journal of Offshore Mechanics and Arctic Engineering (2024) Research Featured in "Advances In Engineering" (2021) Yanlin Shao has successfully secured research funding from the Independent Research Fund Denmark, Research Council of Norway, COWI Fonden, and DNVGL Technology Leadership. He actively supervises multiple PhD students working on projects related to floating energy systems, ship whipping, LNG bunkering, and marine aquaculture. He serves as an associate editor for the ASME Journal of Offshore Mechanics and Arctic Engineering and has previously contributed to the editorial boards of Water and Journal of Marine Science and Engineering . He leads and contributes to several key research projects including ESOMOOR (Enhancing Shared Mooring systems for floating Offshore wind farms), hydrodynamic modeling of floating seaweed farms, and CFD studies of wave energy converters. His lab collaborates closely with institutions such as NTNU, Harbin Engineering University, and KU Leuven, fostering a strong international research network in maritime and offshore engineering.

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Sylvain BailletView profile

Professor

McGill UniversityCanada

Sylvain Baillet serves as Adjunct Professor of Neurology and Neurosurgery, Biomedical Engineering, and Computer Science at McGill University, and Professor of Neuroscience at Université de Montréal. He is Director of the Centre de recherche at CHUM and Director of Research & Innovation at CHUM, working primarily through the Montreal Neurological Institute-Hospital (The Neuro), a leading bilingual academic healthcare institution and McGill research/teaching institute. Dr. Baillet graduated from Ecole Normale Supérieure Paris-Saclay in Applied Physics and earned his PhD summa cum laude in Physics from University of Paris (Paris-XI). His distinguished international career includes positions as Research Associate at the University of Southern California, tenured Principal Investigator at CNRS in France (2000), Head of the Brain Imaging group at La Salpetriere University Hospital (2005), and Associate Professor at the Medical College of Wisconsin (2008) before joining McGill University in 2011. As a global leader in brain imaging and multimodal electrophysiology, Dr. Baillet's research focuses on understanding the nature and macroscopic mechanisms of large-scale, network brain activity across time scales from milliseconds to the lifespan. His lab takes a multi-disciplinary approach blending imaging, multi-scale electrophysiology, cognitive and clinical neuropsychology, biophysics, computational models and data science. Rather than specializing in specific brain functions, his work seeks common denominators across neurological phenomena with particular expertise in magnetoencephalography (MEG) for time-resolved brain imaging. His recent publications demonstrate a strong trajectory toward applying advanced neuroimaging techniques to understand Parkinson's disease, Alzheimer's disease, psychosis, and chronic pain, while maintaining significant contributions to open science infrastructure. His work shows increasing integration of genetics with neurophysiology, attention to sustainability in neuroimaging, and development of predictive models for neurological conditions. Dr. Baillet's scientific recognition includes: Tier-1 Canada Research Chair of Neural Dynamics of Brain Systems (2018) French Academy of Sciences award for outstanding publication in Biology Election to the Academy of Science, Royal Society of Canada (2025) Open Science Leadership Award from the Tanenbaum Open Science Institute With over 11,700 citations and 4 articles in the Top 1% of most-cited publications in Neuroscience, Dr. Baillet has trained 130 students (74 graduates) and 13 post-doctoral fellows from diverse backgrounds, with 20 trainees securing faculty positions worldwide. His research is supported by a substantial funding portfolio exceeding $36 million from agencies including NSERC, CIHR, SSHRC, CFI, Compute Canada, Brain Canada, FRQS, FRQNT, NIH, and private donors, currently managing 14 active grants with 8 as PI or co-PI. Dr. Baillet founded the McConnell Brain Imaging Centre (Canada's largest), recruiting 6 PI leaders and 9 highly qualified personnel while raising $6.4 million in infrastructure grants. His lab hosts the Brainstorm software integration (27,600 user accounts), with training workshops attended by over 2,000 students/faculty worldwide. He co-founded the Open MEG Archives (OMEGA), now with Release 3 containing over 150 hours of MEG recordings from 644 participants, demonstrating his commitment to open science and collaborative neuroscience.

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Virgil AndreiView profile

Research Fellow

University of CambridgeUnited Kingdom

Dr. Virgil Andrei is a research fellow at St John's College, University of Cambridge , affiliated with the Yusuf Hamied Department of Chemistry and Cavendish Laboratory . His work bridges fundamental studies and real-world applications in solar energy conversion. Education: BSc/MSc in Chemistry from Humboldt-Universität zu Berlin, PhD in Chemistry from University of Cambridge Awards: Winton Fellow at UC Berkeley Dr. Andrei specializes in artificial photosynthesis , developing perovskite-based devices for solar fuel production. His innovations include floating systems for water splitting and CO2 conversion using selective catalysts. Recent publications focus on perovskite-oxide interfaces , thermoelectric integration , and scalable reactor designs . Collaborations span chemistry, optoelectronics, and materials science teams. Scientific Awards: Winton Fellow

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Anthony S. SpiritoView profile

Professor

Brown UniversityUnited States

Anthony S. Spirito is a Professor in the Department of Psychiatry and Human Behavior at Brown University's Warren Alpert Medical School, with over 340 publications and 17,401 citations. His research focuses on adolescent mental health, suicide prevention, and substance use disorders, particularly among high-risk youth populations including those in the juvenile justice system and psychiatric hospital settings. Spirito's research interests span adolescent suicide risk assessment, cognitive behavioral interventions for co-occurring psychiatric and substance use disorders, family factors in adolescent mental health, and implementation of evidence-based practices in real-world clinical settings. His work examines how emotional regulation difficulties, parental monitoring, and psychosis-risk symptoms influence adolescent mental health outcomes, with particular attention to vulnerable populations including sexual minority youth and those involved in the juvenile legal system. His recent publications demonstrate a strong emphasis on developing and evaluating practical interventions that can be implemented across diverse settings including pediatric trauma centers, juvenile justice programs, and inpatient psychiatric facilities. Spirito's research consistently addresses the complex interplay between substance use, mental health disorders, and suicide risk in adolescents, with innovative approaches to screening, brief intervention, and referral to treatment. Spirito has extensive experience mentoring students and collaborators, with 568 co-authors across his publication record. His work has secured significant research funding, enabling large-scale implementation trials and intervention development projects focused on improving mental health outcomes for at-risk youth. His research program includes multiple active projects examining suicide risk assessment tools, integrated treatment approaches for co-occurring disorders, and tailored prevention content for specific high-risk populations. Spirito's work bridges the gap between clinical research and practical implementation, with a focus on developing scalable interventions that can be delivered in real-world settings where youth receive care.

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João Carlos Antunes LeitãoView profile

Associate Professor

NOVA University LisbonPortugal

João Carlos Antunes Leitão is an Associate Professor in the Informatics Department at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa , and an Integrated Member of NOVA Laboratory for Computer Science and Informatics (NOVA LINCS) . His research focuses on the scalability and dependability of large-scale distributed systems, particularly in cloud computing , peer-to-peer networks , and geo-distributed environments . He leads work packages in European research projects such as TaRDIS and contributes to projects like Syncfree and LightKone. Research interests include: Scalability of distributed systems Causal consistency in geo-replicated storage Self-organizing overlay networks Edge and fog computing Searchable encryption on trusted hardware Framework development for distributed protocols Publication trends show consistent work on distributed hash tables , causal consistency , edge computing , and secure protocols . His framework Babel is designed for performant and dependable distributed protocol development with applications in self-configuration and security. Scientific awards : Best student paper at IEEE NCA13 (2013) Best Paper Award at Inforum 2018 Best Student Paper at CPDLA Track, Inforum 2023 Best Paper Award at Inforum 2011 Advising and grants : João earned his Ph.D. from Instituto Superior Técnico (IST) under Prof. Luis Rodrigues . He has supervised students like Pedro Fouto, Pedro Ákos Costa, and Nuno Preguiça. His research is supported by European projects TaRDIS , Syncfree , and LightKone . Labs and teams : João works with the Computer Systems Group at NOVA LINCS and contributes to open-source frameworks like Babel and Yggdrasil for distributed protocol development and wireless edge systems.

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