Find Academic Supervisors

• Communication and Culture
• Cyberculture
• Digital Media
• +12 more

Vania Baldi is an Associate Professor at the Department of Sociology, School of Sociology and Public Policies (ESPP), ISCTE-University Institute of Lisbon, and an Integrated Researcher at CIES-Iscte – Center for Research and Studies in Sociology. Her research focuses on Communication and Culture, particularly in digital media, misinformation, political communication, and cyberculture. She teaches courses such as Social Media and Audience Management, Political Communication, and Online Social Networks at master’s and PhD levels. PhD in Ethics and Anthropology, University of Salento (2007) Post-Doctorate, University of Coimbra (2009–2011) Master’s in Communication, Edgar-Morin Center (2003) Aggregation in Communication Sciences, ISCTE (2023) Her research interests include cyberculture, algorithmic society, media literacy, digital democracy, and the sociology of communication. She investigates how digital platforms shape public opinion, the ethical implications of AI, and the dynamics of misinformation in contemporary democracies. Her recent publications and lectures analyze themes such as interpassivity in digital culture, the right not to be misinformed, and the impact of algorithms on political behavior. She has contributed to international conferences and publications on disinformation, digital governance, and media literacy, with a strong focus on Iberian and European contexts. Member of the scientific committee, International Seminar on Constitutional Policies, Culture and Democracy (since 2022) Editorial board, OBS* (OBSERVATORY) and Law and Society Interface Coordinator of conferences on Netflix representations, YouTube methodology, and digital communication Vania Baldi currently supervises 12 doctoral students and 16 master’s students, with completed theses on topics like digital disconnection, influencer culture, and social media branding. She is actively involved in public engagement, delivering lectures across Portugal, Brazil, Spain, Mexico, and France on digital challenges to democracy and media literacy. She leads research projects on misinformation and digital citizenship and contributes to policy discussions as a parliamentary consultant. Her work bridges academic research with societal impact, emphasizing the need for critical digital literacy in the age of artificial intelligence.

• Smart Sensors
• Internet of Things (IoT)
• Wireless Sensor Networks
• +12 more

Octavian Adrian Postolache is a Full Professor at ISCTE - Instituto Universitário de Lisboa, Department of Information Science and Technology (ISTA). He is also an Integrated Researcher and Coordinator of the Instrumentation and Measurements Group at the Institute of Telecommunications – IUL (IT). His research spans smart sensors, IoT, biomedical applications, and embedded AI, with strong focus on healthcare and environmental monitoring. Aggregation, Electrical and Computer Engineering, Instituto Superior Técnico (2015–2016) PhD, Electrical Engineering and Computers – Metrology and Instrumentation, Iasi Technical University, Romania (1993–1999) Integrated Master’s, Electrical Engineering and Computers, Technical University of Iasi, Romania (1987–1992) His research interests include smart sensors for IoT, wireless sensor networks, applied computational intelligence, virtual and augmented reality for physiotherapy, ambient assisted living, and precision agriculture. He leads cutting-edge work in intelligent sensing systems, particularly in healthcare and industrial automation. His publications reveal a strong trend in AI-enhanced sensor systems, smart ports, and stress/disease monitoring using physiological data. He has been recognized as one of the top 2% most-cited scientists globally by Stanford University and Elsevier. He was listed among IEEE Transactions on Instrumentation and Measurement’s best reviewers. He is a Senior Member of IEEE and has held leadership roles in IEEE IMS TC-13 and as IEEE IMS Portugal Chair. Postolache has supervised over 20 PhD and nearly 50 MSc students, reflecting his significant role in academic mentorship. His research is supported by extensive collaborations and active projects in digital twins, smart farming, maritime automation, and healthcare IoT. He leads the Instrumentation and Measurements Group at IT-Lisbon, a key team in sensor and measurement innovation.

Eleftherios SiskosView profile

Assistant Professor

• Optimization and decision support
• Risk modeling and uncertainty control
• Multi-criteria decision analysis
• +4 more

Eleftherios Siskos is an Assistant Professor at the School of Production Engineering and Management of the Technical University of Crete. He holds a PhD in Decision Support Systems from the National Technical University of Athens (NTUA, 2018) and a Chemical Engineering diploma (NTUA, 2011). Prior to his academic role, he was a postdoctoral researcher at the Paul Scherrer Institute in Switzerland (2019–2023). His research focuses on decision analysis, risk modeling, multi-criteria decision support, energy policy, environmental management, and e-government. He has authored over 20 peer-reviewed publications and delivered presentations at over 30 conferences, earning the prestigious Bernard Roy Award (2023) for his contributions to multi-criteria decision analysis. His work spans European, Greek, and Swiss projects addressing operational research, energy resilience, sustainability, and governance. Notable projects include energy policy analysis for Switzerland, risk assessments of energy infrastructure, and e-government benchmarking in Europe. His research integrates advanced methodologies like Choquet integrals, PROMETHEE, and UTASTAR for decision-making under uncertainty. Academic contributions include innovations in multicriteria decision frameworks, such as robustness analysis and bipolar aggregation-disaggregation approaches. He collaborates with international institutions and has advised on policy portfolios for energy efficiency in Greece. His Decision Science Laboratory at TU Crete develops tools for sustainable development and risk-informed decision support.

Ayguade Parra, EduardView profile

Professor

• High-Performance Computing
• Parallel and Distributed Architectures
• Programming Models
• +6 more

Eduard Ayguade Parra is a Full Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), Faculty of Computer Science of Barcelona (FIB). He is a leading researcher in the UPC PM - Programming Models group and maintains a significant affiliation with the Barcelona Supercomputing Center (BSC-CNS), a premier national supercomputing facility. His primary research interests lie in High-Performance Computing (HPC) , with a deep focus on parallel and distributed architectures , programming models (especially task-based models like OmpSs), multicore and multiprocessor systems , and compilers for high-performance architectures . His work bridges hardware and software to optimize performance for complex computational problems. The trends in his recent publications highlight a sustained and evolving research program. He is actively advancing task-based programming for distributed memory and hybrid systems, exploring FPGA acceleration for key HPC kernels like SpMV, and innovating in memory system design, including active compute memory and hybrid memory object placement. His research also extends into applying AI techniques to hardware reliability and creating high-quality datasets for computer vision evaluation. HiPEAC Paper Award 2024 Professor Ayguade has been instrumental in securing and leading numerous competitive and non-competitive R&D+i projects, often funded by national and European programs. He has advised a significant number of doctoral students, whose theses cover topics such as task-based programming, FPGA acceleration, HPC compilers, and machine learning for systems. His collaborations are extensive, with frequent co-authorship with prominent figures at UPC and BSC-CNS, such as Jesús Labarta and Mateo Valero. His research has led to advancements in runtime systems, compiler technology, and FPGA-based acceleration. He is a core member of the UPC PM - Programming Models research group and his work is deeply integrated with the resources and mission of the Barcelona Supercomputing Center (BSC-CNS), one of Europe's leading institutions in supercomputing.

Vicenç TorraView profile

Professor

• Data Privacy
• Approximate Reasoning
• Decision Making
• +7 more

Vicenç Torra is a Professor at the Department of Computing Science, Umeå University, Sweden. He leads the NAUSICA: PrivAcy-AWare traNSparent deCIsions research group, focusing on artificial intelligence, data privacy, and approximate reasoning. His work bridges computer science and applied mathematics. Research Interests: Data Privacy (differential privacy, k-anonymity, secure multiparty computation) Approximate Reasoning (fuzzy sets, non-additive measures, Choquet integrals) Decision Making and Aggregation Operators Information Fusion and Clustering Recent Article Trends: His publications emphasize data privacy in machine learning, non-additive measure theory applications, and integrating privacy guarantees with mathematical rigor. 2024 works focus on Frechet manifold privacy and LLM knowledge distillation. Scientific Awards: EurAI Fellow (2010) ISI Elected Member (2013) IEEE Fellow (2017) Additional Contributions: Founder of Transactions on Data Privacy and MDAI conference series. Active in editorial boards of Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems, and Information Sciences. Collaborates extensively with institutions in Japan and Spain.

Rob van der MeiView profile

Professor

• Stochastic Operations Research
• Queueing Theory
• Emergency Response Systems
• +17 more

Rob van der Mei is a Distinguished Full Professor (part-time) at Vrije Universiteit Amsterdam and a Principal Researcher and Manager R&D at Centrum Wiskunde & Informatica (CWI), where he leads research at the intersection of theory and application in Stochastic Operations Research. His work spans emergency response systems, logistics, healthcare, telecommunications, and cybersecurity. He is the chair of the European COST Action ACROSS and co-founder of the spin-off Stokhos Emergency Mathematics. PhD in Stochastic Operations Research – Vrije Universiteit Amsterdam Senior Researcher – AT&T Labs, USA (1995–1999) Senior Researcher – KPN Research (1999–2002) Senior Researcher – TNO ICT (2002–2004) His research focuses on applying mathematical modeling, queueing theory, and data analytics to optimize complex systems. Key areas include emergency response, service logistics, healthcare optimization, and machine learning in telecommunications. He has led numerous projects on data-driven decision-making in healthcare, such as suicide prevention helplines and elderly care systems, and in maritime design under energy transition uncertainty. The most recent publications reflect a strong trend toward interdisciplinary and socially impactful research, combining optimization, machine learning, and real-time decision systems. Topics include mobile stroke unit deployment, AI-assisted counseling, cyber anomaly detection, and energy-efficient ship design. These works highlight his expertise in translating theoretical models into practical tools. Harald W. Kuhn Award 2020 (2021) Huibregtsen Award 2021 First prize for logistic innovation in Covid-19 vaccination strategy (2021) Best-paper award, 8th International Conference on Data Analytics (2019) Runner-up Huibregtsen-prijs 2014 Rob van der Mei has secured extensive external funding from NWO, EU COST, and industry partners for projects in healthcare logistics, emergency systems, and digital infrastructure. He advises PhD students and collaborates widely across academia and industry. He leads major initiatives such as DOLCE VITA, COCONUT, and ACROSS, and is an active keynote speaker and invited lecturer on data science and optimization. He is affiliated with the Stochastics group at CWI, where he supervises researchers and contributes to national and international research strategy.

Samir M. PerlazaView profile

Researcher

• Game Theory
• Information Theory
• Statistical Machine Learning
• +6 more

Samir M. Perlaza is a Permanent Member of the Scientific Staff at INRIA, a Visiting Research Collaborator at Princeton University's Department of Electrical and Computer Engineering, and an Associate Researcher at Université de la Polynésie Française's GAATI Laboratory. He holds a PhD in Information Theory from Télécom ParisTech (2011) and has 15+ years of experience in game theory, information theory, and their applications. Affiliations : INRIA (2013–present), Princeton University (2012–present), Université de la Polynésie Française (2021–present) Education : HDR (2021), PhD (2011), MSc (2007), BSc (2005) Research Interests : Dr. Perlaza works at the intersection of Game Theory and Information Theory , focusing on Statistical Machine Learning , Smart Grid Data Integrity , Simultaneous Information & Energy Transmission , and Communication Network Optimization . His work bridges theoretical foundations (measure theory, probability) with practical applications in power systems and wireless networks. Notable Awards : INRIA Prime individuelle (2025–2028) Marie Sklodowska-Curie Fellowship (2015) IEEE Senior Member (2015) Finnish Society of Sciences and Letters Fellowship (2019) Advising & Collaborations : Mentors 4 PhD students and 1 postdoc across INRIA, University of Sheffield, and Princeton. Collaborates with H. Vincent Poor, Iñaki Esnaola, and Jean-Marie Gorce on projects like the EU-funded CYBERNETS and TESTBED2. Publications : His 15 most recent articles span Generalization Error , Stealth Attacks , Feedback in Networks , and Finite Blocklength Regime , appearing in IEEE Transactions on Information Theory , Entropy , and conferences like ISIT and ITW.

• Distributed Data Management
• Cloud Computing
• Digital Cultural Heritage
• +4 more

Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.

• Power Electronics
• Power Quality
• Smart Grids
• +3 more

Szymon Barczentewicz, PhD, Eng., serves as a Lecturer at AGH University of Science and Technology within the Department of Power Electronics and Automation of Energy Conversion Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. His academic position and research activities confirm active faculty status in Poland's leading technical university. Dr. Barczentewicz's research concentrates on Power Electronics , Power Quality , and Smart Grid technologies, with particular expertise in harmonic analysis, islanding detection for distributed generation systems, and voltage fluctuation compensation. His work bridges theoretical development with experimental validation, frequently utilizing phasor measurement units (PMUs), hardware-in-the-loop simulations, and advanced signal processing techniques to address grid stability challenges in renewable-rich environments. Analysis of his 15 most recent publications reveals consistent focus on grid integration challenges: 60% address islanding detection and prevention, 40% cover power quality monitoring (including supraharmonics), and 30% explore data compression for smart grid applications. His 2025-2024 work demonstrates increasing emphasis on AI-enhanced grid management and experimental validation of control systems for renewable integration. Collaboration with industry partner Enea Operator features prominently in his research program, particularly in power quality monitoring and energy balancing projects. As an active member of AGH's Energy Quality Team ( Zespołu Jakości Energii ), he contributes to experimental developmental research and educational initiatives in electrical power delivery systems.

Pierre SensView profile

Professor

• Distributed Systems
• Fault Tolerance
• Cloud Computing
• +3 more

Pierre Sens is a Professor at Sorbonne University , where he leads the DELYS group (formerly Regal) – a joint research team with Inria Paris. His work focuses on distributed systems and fault tolerance , with applications to cloud computing , dynamic networks , and large-scale data storage . He has served on program committees for major conferences like DISC, ICDCS, and IPDPS, and as General Chair for SBAC and EDCC. PhD in Computer Science (1994) and HDR (2000) from Paris 6 University (UPMC) Advisor to 22 PhD theses since 1999, including recent work on secure DNS architectures and dynamic group maintenance Over 140 publications in journals and conferences, with recent contributions to stream processing, federated learning, and Byzantine fault tolerance His research explores failure detection in asynchronous networks , resilient distributed algorithms , and adaptive resource management in volatile environments. Key themes include causal broadcast , leader election in MANETs , and predictive replication models . He has developed protocols like Stab-FD (cooperative failure detection) and OMAHA (message aggregation for phase-based algorithms), with applications to cloud systems, edge networks, and peer-to-peer infrastructures. His scientific contributions span theoretical work (e.g., weakest failure detectors for Byzantine systems) and practical implementations (e.g., Pastis file system for peer-to-peer networks). He emphasizes dynamic adaptation in mobile and heterogeneous systems, addressing challenges in distributed mutual exclusion , NUMA virtualization , and video streaming optimization . Collaborations with teams in France, Brazil, and India further highlight his international impact.

• Information Systems
• Computational Intelligence
• Machine Learning
• +4 more

Miljan Vučetić is a Serbian academic specializing in Information Technologies , currently employed as a scientific advisor at the Faculty of Electrical Engineering, University of Belgrade. He has also made significant contributions at the Vlatacom Institute since 2014, leading their Artificial Intelligence Team from 2019 onward. Bachelor's in Telecommunications (Faculty of Transportation, 2008) Doctorate in Information Systems (Faculty of Organizational Sciences, 2013) His research focuses on Computational Intelligence , with key contributions to Fuzzy Logic , Big Data , and Machine Learning , particularly in applications for Smart Cities and Network Optimization . His work spans from theoretical database modeling to practical implementations in IoT and Security Systems . In 2024, he achieved IEEE Senior Member status, reflecting his significant professional impact. He also holds a Microsoft Certification and has contributed to 14 technical solutions. Vučetić has been instrumental in developing Vlatacom Institute's AI Team and participates in FP7 , Horizon 2020 , and COST international research programs. His collaborative work extends across Smart City systems, Healthcare technology, and Transportation optimization projects.

Poushali SenguptaView profile

Researcher

• Explainable AI
• Distributed Machine Learning
• Data privacy
• +3 more

Poushali Sengupta joined the University of Oslo's Department of Informatics as a Researcher in November 2021. Her work focuses on Explainable Artificial Intelligence (XAI), Distributed Machine Learning, and privacy-enhancing techniques, supervised by Prof. Yan Zhang with co-supervisors Prof. Sabita Maharjan and Frank Eliassen. Research Interests: Explainable AI (XAI) for balancing accuracy and model transparency Differential privacy in distributed learning systems Security mechanisms for federated learning environments Privacy-utility tradeoffs in machine learning Applications in energy informatics and networked systems Publications: Her recent work includes advancements in differentially private data shuffling (BUDS/BUDS+), federated learning scalability (Flaps), and fairness-aware privacy frameworks. Labs & Teams: Affiliated with the Networks and Distributed Systems (ND) research group within the Faculty of Mathematics and Natural Sciences.

Gangbing SongView profile

Professor

• Structural health monitoring
• Non-destructive testing
• Wind energy
• +7 more

Dr. Gangbing Song is a Moores Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston , where he has been a tenured Full Professor since 2008. He previously served as an Assistant Professor (1998–2002) and Associate Professor with Tenure (2002–2008) at the University of Houston. Ph.D. , Mechanical Engineering, Columbia University, 1995 M.S. , Mechanical Engineering, Columbia University, 1991 B.S. , Energy Engineering, Zhejiang University, 1989 His research spans structural health monitoring , machine learning , and smart materials , focusing on non-destructive testing , wind energy , and structural vibration control . Recent work includes entropy-based fault diagnosis , underwater bolt monitoring , and upcycling of wind turbine blades in a circular economy framework. Dr. Song has secured over $3.2 million in external funding (including 13 NSF awards) and established the Smart Materials and Structures Laboratory . He has published 96 peer-reviewed journal papers , 191 conference papers , and holds 3 U.S. patents . Outstanding Technical Contribution Award (ASCE, 2008) NSF CAREER Award (2001) Best Paper Award (Earth and Space’08) General Chair, ASCE Earth and Space Conference (2010) He has advised 13 Ph.D. and 31 M.S. students , delivered 10 keynote speeches , and developed educational programs including a remote laboratory and REU initiative . His work integrates robotics , smart sensors , and data-driven algorithms for structural integrity and sustainability applications.

Kazimierz ChorośView profile

Professor

• digital image and video processing
• content-based video indexing and retrieval
• computer animations
• +4 more

Kazimierz Choroś is a Professor at the Department of Applied Informatics , Faculty of Information and Communication Technology , Wrocław University of Science and Technology. He held leadership roles as Deputy Director of the Institute of Informatics (2008-2014) and Deputy Dean of the Faculty of Computer Science and Management (2016-2020). Research interests: digital image/video processing, content-based video indexing, computer animations, multimedia systems, web systems analysis, and information systems design. Organizer and Chair of the International Conference on Multimedia & Network Information Systems (MISSI 2022) Chair of Special Session WebSys 2020 at ICCCI 2020 Other activities: Since 1993, member and former President (1993-2002) of the SAGE Association (Polish Graduates of French Grandes Ecoles). Since 1982, member of the Polish Numismatic Society, author of dozens of numismatic publications, and Editor-in-Chief of Wrocławskie Zapiski Numizmatyczne (2003-present). Contact: Email: kazimierz.choros@pwr.edu.pl Phone: +48-71.320.3799 Office: Building D2, Room 201/1 Address: Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

Kendra L. DalyView profile

Professor

• Zooplankton Ecology
• Gulf of Mexico Ecosystems
• Antarctic Ecosystems
• +4 more

Kendra L. Daly is a Professor in Biological Oceanography at the University of South Florida's College of Marine Science, specializing in zooplankton ecology across Gulf of Mexico and Antarctic ecosystems. Her research examines how physical and biological factors control zooplankton distribution and their roles in marine food webs, biogeochemical cycles, and fisheries oceanography, with emphasis on low-oxygen regions and oil spill impacts. Dr. Daly earned her Ph.D. from the University of Tennessee in 1995. Her research integrates field studies with advanced technologies like the SCINI remotely operated vehicle and SIPPER imaging systems. Current projects include analyzing Apalachicola Bay zooplankton dynamics, Deepwater Horizon oil spill effects on Gulf ecosystems, and Antarctic predator-prey interactions in McMurdo Sound. Analysis of her recent publications reveals three dominant research trajectories: (1) Long-term ecological consequences of the Deepwater Horizon spill on Gulf of Mexico food webs, particularly zooplankton resilience and marine oil snow formation; (2) Southern Ocean ecosystem dynamics focusing on krill populations and climate change impacts; (3) Development of ocean observatory technologies for real-time ecosystem monitoring. Her work increasingly bridges observational data with predictive modeling of marine processes. Dr. Daly has received significant recognition: 2015 Fellow of the American Association for the Advancement of Science She leads major research initiatives including the C-IMAGE project (22 Gulf of Mexico cruises) and Antarctic ecosystem studies, securing funding from NSF and other agencies. Her leadership extends to national science infrastructure: Chair of Ocean Observatories Initiative Facilities Board (OOIFB) Secretary of AGU Biological Oceanography Section Member of Ocean Networks Canada International Science Advisory Board NSF Regional Class Research Vessel Science Oversight Committee Dr. Daly directs the Zooplankton Ecology Lab, which maintains extensive field datasets and collaborates with the USF Southern Ocean Science group on Antarctic research. Her lab utilizes the Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) for plankton imaging and contributes to global databases like KRILLBASE for Southern Ocean ecosystem analysis.