Find Academic Supervisors

Anne-Marie KermarrecView profile

Researcher

• Gossip-based networking
• P2P systems
• Social Networks
• +6 more

Anne-Marie Kermarrec is a Senior Researcher at INRIA (France), with prior roles at Microsoft Research (UK) and the University of Rennes 1 (France). Her work focuses on decentralized systems, including gossip protocols, peer-to-peer networks, social networks, and collaborative filtering. PhD in Computer Science (Rennes, 1996) Her research spans epidemic algorithms, content-based search in large-scale networks, and scalable group communication. She pioneered gossip-based peer sampling and multicast infrastructures like Scribe and SplitStream. Her publications highlight applications in decentralized news recommendation (AllYours), network coding, and privacy-preserving social platforms (Gossple). Key article trends include gossip protocols , P2P systems , social network analysis , decentralized storage , and collaborative filtering . She received the Michel Monpetit Award (2011), ERC Starting Grant (GOSSPLE, 2008-2013), and an ICDCS Best Paper Award (2010). Michel Monpetit Award (2011) ERC PoC AllYours (2013) ERC Starting Grant GOSSPLE (2008-2013) ICDCS Best Paper Award (2010) Kermarrec led program committees for major conferences (e.g., EuroSys, Middleware) and chaired the ACM Software System Award. Her software contributions include AllYours (news recommender), GossipLib (gossip library), and GossipPeer (P2P platform maintenance).

Xi-Zhi NiuView profile

Researcher

• emerging organic contaminants
• environmental organic chemistry
• environmental analytical chemistry
• +3 more

Dr. Xi-Zhi Niu is the director of the Niu Emerging Contaminants Lab at the University of Cincinnati (UC). He holds a PhD in Environmental Chemistry from Curtin University (2018) and a Master's from King Abdullah University of Science & Technology (2013). His research focuses on emerging organic contaminants, environmental analytical chemistry, and semiconductor waste management. He has held postdoctoral roles at the University of Arizona and visiting positions at Zhejiang University and Southern University of Science and Technology. Grants: PI for federal grants investigating emerging contaminants in the Ohio River basin and Cincinnati's water systems (USGS), and industry grants targeting semiconductor waste stream remediation (Semiconductor Research Corporation). Research Interests: Emerging contaminants (PFAS, pharmaceuticals, photoacid generators) Environmental analytical techniques (LC-MS/MS, FT-ICR MS) Photochemical transformations in water systems Recent Work Trends: Recent publications emphasize PFAS detection/removal, semiconductor waste toxicity, and catalytic processes for contaminant mitigation. Collaborations span environmental chemistry, toxicology, and computational modeling. Service & Teaching: Board member of Lake Erie Aquatic Research Network Guest editor for Nano Life Teaches undergraduate courses in water/wastewater treatment (ENVE 4010/4020) and environmental measurements (ENVE 4010L).

• Optimizing Compilers
• Runtime Systems
• Embedded Systems
• +5 more

Summary Role & Affiliation: Mahmut Taylan Kandemir is a Professor in the Department of Computer Science and Engineering at Pennsylvania State University. He is a member of the Microsystems Design Lab and has held roles such as Graduate Program Coordinator. His research focuses on optimizing compilers, runtime systems, embedded systems, and storage technologies. Education: B.S. and M.S. from Istanbul Technical University (Computer Engineering), Ph.D. from Syracuse University (Computer Science). Research Interests: Kandemir’s work spans compiler optimization, energy-efficient architectures, non-volatile memory systems, and cloud storage. His research has been funded by NSF, DARPA, and industry partners like Intel and Microsoft. Articles & Contributions: Over 150 journal papers and 650+ conference publications, covering topics like compiler-driven storage efficiency, 3D NAND SSD optimization, and approximate computing frameworks. Awards: NSF Career Award, Penn State Premier Research Award, IEEE Fellow, and multiple best paper awards. His contributions include compiler tools and storage systems for high-performance computing. Advising & Grants: Advised 32 Ph.D. and 20 M.S. students. Active in program committees for conferences like MICRO, ISCA, and HPCA. Current grants focus on cloud resource management and emerging memory technologies. Labs & Collaborations: Leads projects in collaboration with Argonne National Lab, NVIDIA, and Intel. His work bridges academia and industry, addressing challenges in multicore and embedded systems.

Pauli MiettinenView profile

Professor

• Data Science
• Data Mining
• Matrix and Tensor Decompositions
• +4 more

Pauli Miettinen is a Professor of Data Science at the University of Eastern Finland, affiliated with the School of Computing within the Faculty of Science, Forestry and Technology. His research focuses on data science methodologies, including matrix and tensor decompositions, redescription mining, and social network analysis. Key applications span ecological niche modeling, health data analysis, and parliamentary candidate opinion analysis. He leads the Algorithmic Data Analysis research group and contributed to the Neuro-Innovation project (2021–2026). Recent work includes advancements in differentially private redescription mining and hyperbolic community graph generation. His publications emphasize efficient algorithms for data mining tasks like biclustering and non-negative matrix factorization. Selected achievements include developing the HyGen graph generator and pioneering techniques for interpretable data representation. His research bridges theoretical method development with practical applications in diverse domains.

Nada ElnahlaView profile

Assistant Professor

• Retail Surveillance
• Consumer Behavior
• Marketing Ethics
• +4 more

Dr. Nada Elnahla is an Assistant Professor/Lecturer at Maynooth University's School of Business, joining in 2022 after roles as an Instructor of Marketing at Carleton University (Canada) and Assistant Professor of English Literature at Alexandria University (Egypt). She holds dual PhDs in Management/Marketing (Carleton, 2021) and Comparative Literature (Cairo, 2012), alongside MA (Comparative Literature, Alexandria, 2008) and BA (English Literature, Alexandria, 2004) degrees. Her research bridges retail surveillance ethics, consumer behavior, and literary analysis, focusing on topics like smart surveillance in retail, loyalty programs, and the intersection of literature and marketing. Education: PhD in Management/Marketing, Carleton University (2021) PhD in Comparative Literature, Cairo University (2012) MA in Comparative Literature, Alexandria University (2008) BA in English Literature, Alexandria University (2004) Research Interests: Dr. Elnahla explores surveillance technologies in retail, consumer ethics, narrative theory, and marketing history. Her work often critiques how retail spaces monitor customers and employs literary frameworks to analyze consumer psychology and corporate practices. Awards & Grants: MUSSI Research Grants Scheme (2024) Maynooth University School of Business Seed Funding (2023) Paul R. Lawrence Fellowship (2017) Donald F. Dixon Scholarship (2019) Labs & Collaborations: She contributes to the Innovation Value Institute’s (IVI) Digital Retail Cluster and is a member of LERO, Ireland’s Science Foundation research center for software engineering. Her work integrates industry partnerships to study evolving retail technologies and consumer dynamics.

Johan EklundView profile

Associate Professor

• Computer Networks
• Real-Time Systems
• Transport Layer Protocols
• +3 more

Johan Eklund is an Associate Professor in the Department of Computer Science at Karlstad University. He also serves as the Director of Undergraduate Studies and is finalizing his PhD thesis while working part-time as a lecturer. His research focuses on performance issues in computer communication, particularly latency reduction in real-time applications over IP networks, with a strong emphasis on transport layer protocols. He has collaborated extensively with regional industry through initiatives like 'Campus Connect.' Education: B.Sc. (2001) and M.S. (2004) in Computer Science from Karlstad University, followed by doctoral studies. Teaching responsibilities include 'Introduction to Programming and Data Processing' and supervision of bachelor's projects in Computer Science. Research interests span real-time systems, IoT communication, energy efficiency in networks, and transport layer optimization. His recent work includes evaluating NB-IoT energy efficiency and latency reduction in SCTP-based protocols. He has over 20 publications since 2004, with a focus on improving network performance and reducing energy consumption in modern communication systems. Notable collaborations include projects with SNITS (Swedish National Infrastructure for Computing) and industry partners. His work bridges academia and industry, addressing practical challenges in network design and implementation.

Michael GeorgiadesView profile

Assistant Professor

• Computer Networks
• Tactile Internet
• Mobile Edge Computing
• +3 more

Dr. Michael Georgiades is an Assistant Professor at Neapolis University of Pafos, specializing in computer networks. He holds a BEng (First Class Honours) from King’s College London, an MSc from University College London, and a PhD from the University of Surrey. His career includes roles as R&D Manager at Primetel PLC, Research Fellow at the Centre of Communication Systems Research (CCSR), and Systems Development Engineer at INSIG Ltd. He has contributed to EU-funded ICT projects, holds patents, and authored IETF standards. His research focuses on Tactile Internet, Mobile Edge Computing, Vehicular Networks, IoT, and Edge Intelligence. Research Interests: Tactile Internet Mobile Edge Computing Vehicular Networks IoT Edge Intelligence Awards: Nokia Prize for Research Excellence Primetel Awards for Excellence EPSRC and British Council Studentships Publications span cutting-edge topics like adversarial ML attacks on IoT networks, cryptocurrency market analysis, and satellite-backhauled 5G systems. His work bridges theoretical advancements with practical applications in healthcare, agriculture, and transportation systems.

• Peer-to-Peer Overlay Networks
• Home Automation
• IP Telephony
• +3 more

Dr. Mario Kolberg is a Senior Lecturer in the Department of Computing Science at the University of Stirling. He holds a PhD from the University of Strathclyde and has held roles at institutions including Humboldt University in Berlin and the University of Strathclyde. His research focuses on Peer-to-Peer (P2P) overlay networks, Home Automation, and IP Telephony, with contributions to areas like distributed feature interaction management and network protocol optimization. Key roles include co-investigator in ESRC’s Interlife and MATCH projects, exploring P2P networks in virtual worlds and healthcare integration. He leads initiatives such as the Sysnet Knowledge Transfer Partnership, developing P2P overlays for mobile devices. Kolberg is an IEEE Senior Member and Series Editor for the IEEE Communications Magazine’s Consumer Communication and Networking series, previously serving as TPC Chair for IEEE CCNC 2011. His research spans P2P multicast, home automation systems, and network efficiency, with recent work addressing IoT protocols (e.g., 6TiSCH), mobile network optimization, and integrating social media data for transport prediction. Over 79 publications highlight his technical depth, including influential papers on feature interaction detection and hybrid multicast systems. Education: PhD in Computer Science from University of Strathclyde Key Projects: Interlife (P2P in 3D virtual education), MATCH (healthcare networks), Sysnet KTP (mobile P2P) Awards: IEEE Senior Member, Series Editor role His work bridges academia and industry, addressing real-world challenges in networking and distributed systems.

Marika LüdersView profile

Professor

• Human-machine interaction
• User experiences
• Social and societal consequences of the networked society
• +5 more

Marika Lüders is a Professor at the Department of Media and Communication, University of Oslo. She has held academic roles since 2002, including positions at SINTEF ICT from 2008–2016, leading major innovation projects under EU frameworks. Her research focuses on human-machine interaction, user experiences, and societal impacts of digital technologies. She earned her PhD in 2007 with a thesis on personal media practices. Key projects include leading the HUMANE project and currently directing the 'Global Natives?' research initiative on youth media consumption. Education: Cand. polit. in Media Science (2001), PhD from University of Oslo (2007). Research Interests: Lüders explores media innovation, social media dynamics, and the interplay between technology and society. Her work analyzes user behaviors in streaming platforms, digital well-being, and global media trends. Notable contributions include studies on youth media practices and the societal implications of networked technologies. Publications: Over 50 peer-reviewed articles and book chapters since 2001, focusing on digital media, social networks, and innovation. Recent work addresses streaming media's role in entertainment and societal structures. Awards/Grants: Extensive EU project leadership (FP6, FP7, H2020) and grants, including the HUMANE project and current 'Global Natives?' funding. No specific named awards are highlighted in the text. Labs/Teams: Active in interdisciplinary research teams at UiO, collaborating on projects like the HUMANE initiative and youth media studies. Coordinates the 'Global Natives?' project, investigating youth engagement with global digital platforms.

• Big data
• Data science
• Data analytics
• +12 more

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

Jan BangView profile

Professor

• Electronic Music
• Jazz Studies
• Live Sampling
• +2 more

Jan Bang serves as Professor in the Department of Rhythmic Music at the University of Agder (UiA), Norway, with office K2022 at Universitetsveien 25, Kristiansand. A prominent Norwegian composer, musician, and producer of international standing, he co-founded and directs the Punkt Festival with Erik Honoré since 2005. The festival's live sampling concept has been presented in 25 cities globally including London Jazz Festival, Paris' Banlieues Bleues, and San Sebastian Jazz Festival. His primary research interests focus on Electronic Music, Jazz Studies, Live Sampling, and Music Production. Bang explores real-time remix methodologies, the intersection of silence and sound, and political dimensions of art. His work emphasizes technological innovation in performance contexts while maintaining strong ties to Norwegian and global jazz traditions through collaborative improvisation and cross-genre experimentation. Recent publications (2023-2025) reveal concentrated activity in live electronic performance documentation, festival curation, and artistic responses to global conflicts. Collaborations with Ensemble Modern and Eivind Aarset dominate output, alongside politically engaged commentary like his 2025 La Stampa piece on Gaza. Themes consistently address latency as creative material, cultural memory in sound, and the role of electronic processing in contemporary music ecosystems. Bang conducts international masterclasses (Barcelona, Rome) but no formal graduate students or specific grant projects are documented in the source text. His advising appears practice-based through festival workshops and performance collaborations rather than traditional academic supervision. He co-founded the Punkt Festival as a primary creative platform, operating as both artistic director and research vehicle. Additionally affiliated with UiA's Electronic Music and Songwriting and Production research groups, his work integrates festival operations with academic inquiry through projects like Stillefeldt vs Punkt (with Birmingham City University) and Global Jazz Studies networks.

Umberto VillanoView profile

Professor

• Cybersecurity
• Intrusion Detection Systems
• Machine Learning for Security
• +3 more

Umberto Villano is a Full Professor at the Department of Engineering of the University of Sannio in Italy. His academic specialization is in the field of Information Processing Systems (ING-INF/05), where he conducts research and teaching activities focused on cybersecurity, machine learning applications for security, and network analysis. Professor Villano's research interests span multiple cutting-edge areas in computer science and security. His primary focus is on cybersecurity , particularly in the domains of intrusion detection systems, IoT security, and cloud security. He has made significant contributions to the application of machine learning techniques for security purposes, especially deep learning approaches using autoencoders for anomaly detection. Another major research stream involves fake news and misinformation analysis , where he applies topic modeling and graph-based approaches to understand information propagation patterns. His work bridges theoretical foundations with practical implementations in real-world security systems. An analysis of Professor Villano's recent publications (2023-2025) reveals a strong focus on advanced security techniques using artificial intelligence. His work demonstrates a consistent pattern of addressing contemporary security challenges through innovative machine learning approaches. The publications show particular emphasis on intrusion detection systems, with numerous papers exploring deep learning methods, especially autoencoders, for identifying network anomalies. There's also a significant thread of research on misinformation analysis, where he applies graph theory and topic modeling to understand fake news propagation. His work often bridges multiple domains, such as combining cybersecurity with IoT systems or applying AI techniques to cloud security challenges. Professor Villano has supervised numerous graduate students through their research in cybersecurity and related fields. His research has been supported by various grants focused on cybersecurity, machine learning applications, and information systems security. His work has contributed to the development of practical security tools and methodologies that address real-world security challenges in networked systems. Professor Villano leads or participates in research groups focused on cybersecurity and machine learning applications. These teams work on developing advanced security solutions, creating benchmark datasets for security research, and investigating novel approaches to information security challenges. His laboratory environment emphasizes both theoretical research and practical implementation, with projects often resulting in open-source tools and publicly available datasets that benefit the broader security research community.

Martin VolkView profile

Professor

• Climate Change
• Agricultural Landscapes
• Ecosystem Services
• +4 more

Prof. Dr. Martin Volk is a Professor at the Institute for Geosciences and Geography of Martin-Luther-University Halle-Wittenberg , while also leading the Computational Landscape Ecology department at the Helmholtz Centre for Environmental Research - UFZ . His work focuses on climate change impacts on agricultural systems, ecosystem services valuation, and sustainable land management. Key research trends in his recent publications include climate-adaptive water retention strategies , multi-objective land use optimization , and emergy-based ecosystem service valuation . Notable projects like CLIMALERT and TALE demonstrate his emphasis on stakeholder-driven solutions for agricultural resilience. BiodivERsA Prize for Excellence and Impact (TALE project) His work bridges computational modeling (e.g., SWAT+, Bayesian networks) with field studies on soil moisture, glacier hydrology, and riparian zone restoration. He actively engages with policy frameworks through UFZ's Climate Office for Central Germany and contributes to the Helmholtz Climate Initiative .

MARIA CRUZ NEGREIRA REYView profile

Assistant Professor

• Digital Communication
• Journalism Studies
• Media Innovation
• +6 more

Maria Cruz Negreira Rey is an Assistant Professor at the Department of Communication Sciences, Faculty of Communication Sciences, University of Santiago de Compostela. She is affiliated with the Institute of Studies and Development of Galicia (IDEGA). Her research focuses on digital media innovation, hyperlocal journalism, and the intersection of technology with news production. She holds a Doctorate (2020) from the same university, with a thesis on hyperlocal cybermedia in Spain, supervised by Dr. Xosé López García. Her academic work emphasizes the transformation of journalism in the digital age, particularly exploring AI integration in communication sectors, audience-driven journalism, and challenges posed by news deserts. Key research areas include media geography, risk communication (e.g., radon gas reporting), and the adaptation of journalism to platforms like TikTok and Twitch. She has also studied comparative models of hyperlocal media in Spain and the Netherlands, and the role of digital native media in societal communication. Her publications highlight trends such as the blurring boundaries between traditional journalism and citizen-generated content, the ethical implications of AI in media, and the strategic reinvention of local journalism in the face of technological disruption. While no formal awards are listed, her prolific output reflects significant contributions to media studies and communication science. Her research extends to media labs, innovation in public service broadcasting, and the sociability functions of online media networks. She collaborates on projects mapping media landscapes, such as Galicia’s digital media ecosystem, and analyzing the impact of instant messaging platforms like WhatsApp in news dissemination.

• 6G Networks
• Telemedicine
• Medical Robotics
• +3 more

Nicolai Kröger is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical and Computer Engineering from TUM, where his thesis focused on P4 switch performance modeling using queuing theory. His current research centers on 6G networks for critical telemedicine applications, particularly within the 6G-Life project, emphasizing end-to-end communication for medical robotics and surgical systems. He contributes to projects like the 6G Future Lab Bavaria and collaborates with the MITI group at Rechts der Isar Hospital to develop medical testbeds requiring high availability and low latency. Kröger also supervises student theses on 5G/6G security, network optimization, and in-network computing. His technical expertise spans programmable networks (P4), SDN, and performance analysis of network devices. He serves as a supervisor for student projects and internships, including implementations of medical testbeds and security analyses of cellular broadcast messages. His work bridges academic research with practical applications, aiming to advance communication networks for healthcare and future 6G systems.