جست‌وجوی استاد و پژوهشگر

• Analogue and Mixed Signal IC Design
• Digital System Design (FPGA)
• CMOS Lab-on-Chip Platforms
• +۴ مورد دیگر

Junming Zeng is a Researcher at the Department of Electrical and Electronic Engineering, Faculty of Engineering at Imperial College London. His work focuses on advanced CMOS technologies for biomedical applications, including lab-on-chip platforms and ion imaging systems. He holds a PhD from Imperial College London (2022), following a Master's in Analogue and Digital Integrated Circuit Design (2017) and a Bachelor's in Electronic Engineering (2016), both from UK institutions. His research interests span analogue/mixed-signal IC design, FPGA-based digital systems, and ultra-high-speed ion sensing solutions. He has pioneered CMOS lab-on-chip platforms for real-time chemical monitoring and developed compressed sensing techniques for optimizing sensor array performance. His work integrates deep learning for applications like diabetes glucose prediction and drift compensation in ISFET sensors. Zeng has received the Best Student Paper Award (1st Prize) at ISCAS 2018 and Imperial's Department PhD Scholarship. His research bridges electrical engineering and biomedical engineering, with a focus on scalable, energy-efficient systems for healthcare and diagnostics. He leads projects involving edge computing, temporal fusion transformers, and microfluidic integration, demonstrating expertise in both hardware innovation and algorithmic development. His lab develops cutting-edge systems such as 1000fps ISFET SoCs with programmable gain and high-throughput digital readout architectures. Recent work includes live demonstrations of real-time pH monitoring in 3D-printed microfluidic systems and spatio-temporal ion membrane characterization platforms.

Jessica Sze Yin Hoمشاهده پروفایل

دانشیار

• Digital Marketing
• Social Media Marketing
• E-commerce
• +۴ مورد دیگر

Jessica Sze Yin Ho is an Associate Professor and Senior Fellow of the Higher Education Academy at Heriot-Watt University , where she serves in the School of Social Sciences as Associate Head and Programme Director of MA (Hons) Marketing in the Department of Marketing and Operations . She is a prolific researcher in digital marketing, social media, and sustainable consumption, with over 20 publications and multiple international awards. PhD in Marketing (Multimedia University, Malaysia) MPhil in Management (Multimedia University, Malaysia) BBA in Marketing (Multimedia University, Malaysia) Research Interests span Digital Marketing , Social Media Strategy , E-commerce , Sustainable Consumer Behavior , and Service Quality , with a focus on technology adoption and higher education quality. Her recent work explores Live Streaming Commerce , TikTok’s role in Cultural Heritage Promotion , and the Dark Side of Celebrity Endorsements . Her 15 most recent publications (2025–2020) analyze audience engagement , privacy dynamics in virtual streaming , sentiment analysis , and augmented reality applications across sectors like museums, tourism, and finance. Awards include multiple Best Paper and Best Reviewer recognitions from global marketing conferences. Collaborations include industry-funded projects on talent management and services marketing . She also mentors colleagues toward Senior Fellow of AdvanceHE status and contributes to UN Sustainable Development Goals through research on sustainable consumption and education.

• Parallel and Distributed Computing
• Database Systems
• Network-Centric Computing
• +۲ مورد دیگر

Professor Ajit Singh is a faculty member in the Department of Electrical and Computer Engineering at the University of Waterloo , affiliated with the Faculty of Engineering . His expertise spans Parallel and Distributed Computing , Database Systems , Network-Centric Computing , and Software Architecture and Design . Education: BSc (BIT, India) MPhil (Jawaharlal Nehru University, New Delhi) MSc and PhD (University of Alberta) Research & Industrial Work: Founded SlipStream Data (acquired by Research in Motion/BlackBerry) to accelerate internet content delivery on low-bandwidth networks. Consulted for IBM Canada, Bell Canada, Nortel, and other tech firms. Current projects include Energy Efficient Mobile Computing and Processing Data Streams . Advising & Students: Current advisees: Liton Chakraborty, Mohammad Mursalin Akon, Rajesh Palit, Tan Wang. Past students include Dhrubajyoti Goswami, Afzal Mawji, and others. Research Themes: Focuses on scalable caching, distributed systems, and energy-efficient computing. Explores disk-based optimization for stream joins and parallel architectures.

Lap Chi Lauمشاهده پروفایل

استاد

• Algorithms
• Optimization
• Spectral Graph Theory

Lap Chi Lau is a Professor at the University of Waterloo's Cheriton School of Computer Science. His primary research explores algorithms, optimization, and spectral graph theory. His recent publications focus on graph algorithms, spectral methods, and combinatorial optimization, with consistent applications to network design and experimental methodologies. Publications demonstrate advanced techniques in graph sparsification, eigenvalue methods, and efficient algorithm design for complex computational problems. His work frequently intersects theoretical computer science and applied mathematics, contributing to foundational improvements in graph partitioning, spectral clustering, and randomized algorithms.

• Cryptography
• Security
• Privacy
• +۳ مورد دیگر

Dario Fiore is a Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Computer Science from the University of Catania (Italy), supervised by Dario Catalano, with postdoctoral positions at Max Planck Institute for Software Systems (Germany), New York University (USA), and École Normale Supérieure (France). His research focuses on theoretical and practical aspects of Cryptography, emphasizing secure computation, privacy-preserving technologies, and cryptographic protocols. Fiore has authored over 69 conference papers and 19 journal articles, with notable contributions to zero-knowledge proofs, homomorphic encryption, and verifiable computation. He leads a research group involving postdocs and students, and has secured grants such as the ERC Consolidator Grant PICOCRYPT and funding from NEC Laboratories Europe. Education: Ph.D. in Computer Science, University of Catania, 2010 Visiting Student: New York University (2009-2010), IBM Research (2008-2009) Research Interests: Cryptography, Security, Privacy, Zero-Knowledge Proofs, Secure Computation, Homomorphic Encryption His work bridges foundational cryptography with real-world applications, including privacy-preserving systems and blockchain technologies. Recent research highlights include verification-efficient homomorphic signatures, non-malleable zkSNARKs, and efficient zero-knowledge proofs for data streams. Grants & Awards: ERC Consolidator Grant PICOCRYPT (2021-2026, PI) Top Reviewer Award at ACM CCS 2022 Best Short Paper at JNIC 2015 Fiore actively participates in program committees (e.g., Eurocrypt 2025) and has delivered keynotes on cryptographic topics. His team's work is implemented in libraries like 'hsnp' for homomorphic signatures.

Oskar Mencerمشاهده پروفایل

استاد

• Numerical methods and simulations
• Imaging
• Discretization of space, time and value
• +۷ مورد دیگر

Oskar Mencer is a Professor in the Department of Computing at Imperial College London , where he has been a member of academic staff since 2000. He was also a Consulting Professor at Center for Computational Earth and Environmental Science , Stanford University (2009-2010). His research focuses on Multiscale Dataflow Computing , exploring the interaction of hardware and software systems through domain-specific representations, parallel programming, VLSI design, and compiler methodologies. He has contributed to fields including high-performance computing, FPGA optimization, and computational finance. Dr. Mencer's work has been recognized with a Special Award from Com.sult (2012), Imperial College Research Excellence Award (2007), and a Top EPSRC Advanced Fellowship (2001). He has received multiple best paper awards, including at ICFPT'08 and ASAP 2008, and his 2000 paper on stream architectures was recognized as historically significant in 2015. His publications demonstrate a strong emphasis on FPGA acceleration , custom architectures , and parallel processing across geophysics, finance, and neuroscience applications. Special Award for Dataflow Innovation (2012) Best Paper Award - ICFPT'08 Best Paper Award - ASAP 2008 He has served on technical committees for conferences such as FPL , DATE , and FPT , and leads the Computer Architecture Research Group (currently inactive).

• Software Engineering
• Parallel and Distributed Systems Architecture
• Trusted Components and Services
• +۶ مورد دیگر

Professor Heinrich Schmidt is an Adjunct Professor in the School of Science at RMIT University, Australia. His research focuses on Software Engineering, Distributed Systems, and Cyber-Physical Systems. He specializes in areas such as formal verification, safety-critical systems, and cloud computing. His work emphasizes practical applications in industrial automation, IoT, and HPC environments. Key research interests include spatio-temporal analysis, fault tolerance, and adaptive systems design. He has supervised projects on IoT data contextualization, software fault characterization, and spatial modeling in PRISM. Over 98 publications highlight his contributions to formal methods, distributed systems, and industrial software solutions. Professor Schmidt collaborates on projects like Chiminey (cloud/HPC integration) and VxLab (industrial visualization). His teaching covers parallel systems, trusted components, and model-based monitoring. No specific awards are listed, but his extensive publication record underscores his academic impact.

• Economy, Employment and Markets
• Education, Knowledge and Skills
• Culture, Religions and Civilisations
• +۳ مورد دیگر

Myra Mohnen is an Assistant Professor of Economics, specializing in interdisciplinary research at the intersection of economic history, innovation policy, and climate action. Her work bridges macroeconomic themes like education systems, cultural dynamics, and economic inequality with modern challenges such as sustainability and green technology adoption. Research Interests include: Economy, Employment, and Markets Education Policy and Skills Development Cultural and Religious Dynamics in Civilisations Economic Inequality Analysis Climate Policy and Clean Innovation Her publications span 2014–2024, focusing on topics such as green financial markets, patent strategies, Victorian labor patterns, and the socioeconomic impacts of infrastructure. Recent work emphasizes climate finance alignment with global agreements and the role of compulsory education in nation-building. Notable contributions include analyzing knowledge spillovers in medical science networks and evaluating the economic implications of clean vs. dirty technologies through patent data. While no awards are listed, her research frequently engages with policy-relevant frameworks like the Paris Agreement and Grantham Institute initiatives.

Anne-Marie Kermarrecمشاهده پروفایل

پژوهشگر

• Gossip-based networking
• P2P systems
• Social Networks
• +۶ مورد دیگر

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 Niuمشاهده پروفایل

پژوهشگر

• emerging organic contaminants
• environmental organic chemistry
• environmental analytical chemistry
• +۳ مورد دیگر

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).

Pauli Miettinenمشاهده پروفایل

استاد

• Data Science
• Data Mining
• Matrix and Tensor Decompositions
• +۴ مورد دیگر

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 Elnahlaمشاهده پروفایل

استادیار

• Retail Surveillance
• Consumer Behavior
• Marketing Ethics
• +۴ مورد دیگر

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 Eklundمشاهده پروفایل

دانشیار

• Computer Networks
• Real-Time Systems
• Transport Layer Protocols
• +۳ مورد دیگر

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.

• Peer-to-Peer Overlay Networks
• Home Automation
• IP Telephony
• +۳ مورد دیگر

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 Lüdersمشاهده پروفایل

استاد

• Human-machine interaction
• User experiences
• Social and societal consequences of the networked society
• +۵ مورد دیگر

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.