جست‌وجوی استاد و پژوهشگر

Djamal Zeghlacheمشاهده پروفایل

استاد

• Network Virtualization
• Cloud Computing
• Software-Defined Networking
• +۵ مورد دیگر

Djamal Zeghlache is a Professor at Telecom SudParis (now part of Institut Polytechnique de Paris), where he leads research in network virtualization, cloud computing, and software-defined networking. His work spans multiple domains including wireless communications, network security, and AI applications in networking systems. Affiliated with the SAMOVAR laboratory (Services and Architectures for Multimedia and Ubiquitous Access to Resources), he has established himself as a prominent researcher in network and service management. Professor Zeghlache's research interests focus on the intersection of networking and artificial intelligence, with particular emphasis on network virtualization, cloud computing, and software-defined networking. His work addresses critical challenges in network function virtualization, resource allocation, and optimization in distributed systems. In recent years, he has expanded his research to include AI-driven approaches for network management, healthcare monitoring using wireless technologies, and optical network control. His publications demonstrate a consistent trajectory from traditional networking challenges to more complex, AI-integrated solutions for modern network infrastructures. Analysis of his recent publications (2023-2025) reveals a strong trend toward integrating machine learning, particularly deep reinforcement learning and graph neural networks, into network management systems. His work spans multiple application areas including healthcare monitoring (using RF-based techniques for vital sign detection), transportation systems (bike-sharing optimization), and optical networking (disaggregated control frameworks). The interdisciplinary nature of his research connects computer networking with biomedical engineering, urban mobility, and formal methods for system verification. Professor Zeghlache has supervised numerous PhD students and collaborated extensively with researchers across Europe and internationally. His work has resulted in significant contributions to network virtualization, cloud resource management, and network security. He has been involved in multiple research projects focusing on next-generation networking technologies, including 5G, network slicing, and cloud-native network functions.

Kwame Porter Robinsonمشاهده پروفایل

استادیار

• Community-Based Economies
• Digital Sustainability
• Generative Justice
• +۵ مورد دیگر

Kwame Porter Robinson serves as Assistant Professor of Technology, Information Systems and Analytics at Wayne State University, where he develops community-based economic systems through co-designed AI and automation. His work bridges academic research with practical applications in digital sustainability and generative justice, informed by prior experience as a Department of Defense data scientist and NGO consultant. His educational background spans technical and creative disciplines: Ph.D. in Information, University of Michigan (2024) M.S. in Computer Science, University of Maryland (2012) B.S. in Electrical Engineering (honors), New Mexico State University (2008) B.F.A. in Graphic Design (magna cum laude), Boston University (2002) Research focuses on decolonial computing and community economies , examining how human-AI collaboration can create unalienated labor systems in artisanal contexts. His methodology emphasizes bottom-up technology co-design with communities, particularly evident in Detroit-based artisan studies and blockchain implementations for economic empowerment. Publications since 2019 reveal accelerating focus on computational reparations and generative justice, with recent work exploring fractal scaling in AI governance and worker-owned AI ecosystems. Key themes include decolonial transitions, circular value flow, and environmental sustainability in crafting economies. Scientific recognition includes: Rackham Merit Fellowship (2019-2024) with multiple research grants AWS Cloud Credits for Research (2019) Best Student Talk award for ethical AI (2023) National Intelligence Meritorious Unit Citation (2012) Teaching includes Business Information Systems and Blockchain & CyberSecurity courses, reflecting his industry-academia synthesis. While specific grant details beyond Rackham awards aren't provided, his DoD background and AWS credits indicate strong industry partnerships. Collaborative work with scholars like Ron Eglash demonstrates interdisciplinary team engagement in justice-oriented computing initiatives.

John Paparrizosمشاهده پروفایل

استادیار

• Databases
• Data Science
• Machine Learning
• +۵ مورد دیگر

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

• Cyber Security
• Digital Forensics
• Biometric Authentication
• +۷ مورد دیگر

Fudong Li is a Professor and Principal Academic in Cyber Security at Bournemouth University, leading the Cyber Security pathway for multiple undergraduate programs and serving as Programme Leader for BSc Forensic Computing and Security. His expertise spans over 15 years in teaching and research, focusing on digital forensics, biometric authentication, ethical hacking, and network security. He holds certifications such as EC-Council’s CHFI, CEH, and Cisco’s CCNA. Fudong has supervised 12 completed PhD students and authored over 60 publications in journals and conferences. His research interests include wearable computing for authentication, blockchain security, privacy-preserving technologies, and cloud storage verification. Notable work includes studies on Ethereum’s consensus mechanism transition and smartwatch-based continuous authentication systems. He has led the FORESIGHT grant (2019) for advanced cyber-security simulation platforms and serves as an external examiner for multiple UK universities. Fudong’s contributions align with UN SDGs for Quality Education and Gender Equality through cybersecurity education initiatives and inclusive technology design. His advisory roles include overseeing 13+ PhD candidates and collaborating on grants addressing cybersecurity challenges in aviation, power grids, and naval systems. He also leads external engagement activities, including visiting lectureships and international examiner roles.

Muskaan Singhمشاهده پروفایل

مدرس

• Natural Language Processing (NLP)
• Computational Linguistics
• Artificial Intelligence (AI)
• +۹ مورد دیگر

Muskaan Singh is a Lecturer in Data Analytics at the Intelligent Systems Research Centre (ISRC) within the School of Computing, Engineering and Intelligent Systems at Ulster University . A member of the Cognitive Analytics Research Lab (CARL) , her work bridges Natural Language Processing (NLP) , Artificial Intelligence , and Practical Applications in domains ranging from machine translation to biomedical diagnostics. Education: PhD in Machine Translation (Thapar Institute of Engineering and Technology, 2016-2020) Master’s in Machine Translation (IIIT Hyderabad, India) Her research spans NLP and AI with applications in code-switched language modeling , depression detection , social media analytics , and medical diagnostics . She has developed multilingual tools for automatic minuting, including DeepCon and ALIGNMEET , and contributed to EU-funded projects like ROXANNE (criminal network analysis) and ELITR (European Live Translator). Key scientific awards include first prizes in international NLP competitions (EVAL4NLP, LT-EDI, SMM4H) and recognition at EMNLP , ACL , and COLING . She received the Inclusion and Diversity Grant (EMNLP 2021) and GHC Scholarship (2019). Current projects include AI-EPOCMON (AI-Enabled Point-of-Care Monitoring) and T3-NCP (crime prevention for safer communities). Dr. Singh has supervised grants from UKRI and Alzheimer’s Research UK , focusing on AI for health and IT operations . Her team at ISRC collaborates globally with institutions in Switzerland , Czech Republic , and India . She also leads research for the Center for Data Science and Artificial Intelligence at IIIT Lucknow, India.

Kwon Oh-jinمشاهده پروفایل

استاد

• Image/video compression
• Image quality enhancement
• Image fusion
• +۶ مورد دیگر

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

• Dental biomechanics
• Instrumentation design
• Systems engineering
• +۶ مورد دیگر

Dr. Jie Chen is a Professor and Chair of the Department of Mechanical Engineering at Purdue University (Indianapolis campus, with a courtesy appointment in West Lafayette). He holds dual roles in Mechanical Engineering and Orthodontics. His research focuses on dental biomechanics, energy systems, and instrumentation design, with significant contributions to orthodontic load systems and biomedical engineering. Education: B.S. in Mechanical Engineering, Tianjin University (1982) M.S. in Biomedical Engineering, Shanghai Second Medical University (1985) Ph.D. in Mechanical Engineering and Mechanics, Drexel University (1989) Research Interests: Energy efficiency in HVAC systems and electrical demand forecasting Quantification of orthodontic force systems using finite element analysis Biomechanical validation of orthodontic appliances CT-based quantification of dental displacement and root resorption Optical and haptic interfaces for medical and automotive systems His publications span energy optimization, orthodontic biomechanics, and human-machine interaction. Notable works include real-time energy management platforms and finite element modeling for orthodontic simulations. Recent research explores AI-driven visual analytics and autonomous vehicle systems. Grants & Labs: Active in interdisciplinary collaborations at Purdue, with lab work focused on biomechanical testing and smart energy systems. Supervises projects in orthodontic engineering and advanced manufacturing.

• Cybersecurity
• Applied Cryptography
• Identity & Access Management
• +۴ مورد دیگر

Dr. Amna Qureshi is an Assistant Professor in Cybersecurity at the Department of Computer Science, University of Bradford. Previously, she served as a Senior Researcher at Universitat Oberta de Catalunya in Barcelona. Her research focuses on secure cryptographic protocols, distributed systems, IoT security, privacy preservation, and cyberbullying detection. She holds a Fellowship from the Higher Education Academy (FHEA) and received a 2018 grant from Spain’s INCIBE for cybersecurity research. Her teaching includes modules like Ethical Hacking (COS7029-B) and ISO27000 Framework (COS7030-B). Research highlights include over 25 peer-reviewed publications in systems security and privacy, with a focus on Zero Trust Architecture, blockchain integration in finance, and AI-driven cybersecurity solutions. She actively reviews for JCR-indexed journals and serves on conference program committees. Key contributions include frameworks for multi-layered DDoS defense in 5G networks, AI-based fake news detection, and Urdu-language cyberbullying identification. Her work bridges theoretical cryptography and practical applications in IoT, cloud computing, and financial systems. Grants: Advanced Cybersecurity Team Excellence Grant (INCIBE, 2018) Awards: FHEA Fellowship Her publications emphasize Zero Trust models, blockchain applications, and privacy-preserving techniques. Current research trends focus on integrating AI with cybersecurity to address emerging threats in distributed systems and social media.

Renato Pajarolaمشاهده پروفایل

استاد

• Computer Graphics
• Scientific Visualization
• 3D Modeling
• +۵ مورد دیگر

Prof. Dr. Renato Pajarola is the Head of the Visualization and MultiMedia Lab at the Department of Informatics, University of Zurich. His research focuses on computer graphics, scientific visualization, and geometric processing, with applications in 3D scanning, point cloud analysis, and real-time rendering. He leads a team developing advanced visualization techniques for high-dimensional data, parallel rendering frameworks, and interactive systems for complex datasets. Key research areas include: 3D reconstruction of indoor environments Tensor approximation for volume visualization Interactive ray tracing and point cloud processing Parallel rendering frameworks (e.g., Equalizer) Scientific computing and sensitivity analysis His recent publications emphasize: High-dimensional data exploration using tensor methods Efficient rendering techniques for large-scale point clouds Integration of citizen-reported weather data for environmental analysis Prof. Pajarola’s lab collaborates on projects like VIAN (visual annotation tool for film analysis) and Terrender (web-based terrain visualization). His Erdős number is 3, reflecting interdisciplinary research connections in mathematics and computer science.

Soon Myoung Chungمشاهده پروفایل

استاد

• Cloud Computing Security
• Hypervisor Security
• Parallel Computing
• +۸ مورد دیگر

Soon Myoung Chung is a computer science researcher with significant contributions in the areas of cloud computing security, parallel data clustering, and GPU-accelerated algorithms. The publications indicate long-standing research activity spanning from 2002 to at least 2022, suggesting sustained academic engagement. While no formal institutional affiliation is provided in the scraped content, the depth and consistency of work imply a faculty or research-oriented academic role. The research interests center around cloud security , especially hypervisor vulnerabilities and isolation breaches, parallel and distributed clustering algorithms for large-scale data, and 3D shape analysis using orthogonal moments. These fields reflect a strong focus on algorithmic efficiency, security in virtualized environments, and pattern recognition. The most recent articles show a trend toward leveraging GPU acceleration for real-time data processing in crisis management and enhancing anomaly detection in time series data. Earlier works emphasize foundational methods in association rule mining, text clustering, and combinatorial fusion for feature selection. Collectively, the publications demonstrate expertise in both theoretical algorithm design and practical implementation in high-performance computing contexts. Although no scientific awards are mentioned in the provided texts, the body of work has accumulated over 1,800 citations, indicating influence in the field. There is no information available about students advised, grants received, or leadership roles. No labs or collaborative teams are referenced in the scraped material.

• Social Network Analysis
• Misinformation Detection
• Human Mobility Modeling
• +۴ مورد دیگر

Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.

Cristian Morosanمشاهده پروفایل

استاد

• Information Technology Adoption
• Biometric Systems
• Mobile Technology
• +۳ مورد دیگر

Cristian Morosan is a Professor at the University of Houston's College of Global Hospitality Leadership, specializing in information technology adoption and innovation within hospitality. With over 20 years of teaching experience and 30 years in the industry, he focuses on biometric systems, mobile technology, and digital transformation. Education: B.S. in Tourism and Services Management from University Stefan cel Mare (Romania), M.Sc. and Ph.D. in Foodservice and Lodging Management from Iowa State University Research Areas: His work spans technology ethics, digital marketing strategies, and operational innovation. Key projects include AI integration in hotel services, pandemic-related contactless systems, and consumer behavior analysis in digital hospitality environments. Scientific Contributions: Funded by the European Union and Hospitality Financial and Technology Professionals, he has published over 200 peer-reviewed works with 3,800+ citations. Notable awards include multiple research excellence and teaching innovation recognitions.

• Multimedia Computing
• Computer Vision
• Computer Graphics
• +۷ مورد دیگر

Professor Zhiyong Wang is a faculty member at the School of Computer Science, University of Sydney, serving as Deputy Director of Sydney Informatics Hub and Director of the Multimedia Computing Laboratory. His research focuses on multimedia computing, including information retrieval, computer vision, AI, and applications in agriculture, healthcare, and environmental monitoring. He holds a B.Eng., M.Eng. from South China University of Technology, and a Ph.D. from The Hong Kong Polytechnic University. His work bridges theoretical advancements and real-world applications, with over 200 peer-reviewed publications. He is a member of IEEE and former President of Australia Pattern Recognition Society (APRS). Research Interests: Enabling computers to understand and create multimedia content, with emphasis on human-centric computing, remote sensing, and interdisciplinary applications. Notable areas include action recognition, medical image analysis, and environmental monitoring. Current Roles: Leads the Multimedia Computing Lab, collaborates with Sydney Institute of Agriculture and Brain and Mind Centre. Teaches COMP5216 (Mobile Computing), COMP5405 (Digital Media Computing), and COMP5425 (Multimedia Retrieval). Students: Supervises 9 Ph.D. students focusing on topics like precision agriculture, biomedical engineering, and AI-driven video analytics. Key projects include soil moisture forecasting, biomechanical risk analysis for knee osteoarthritis, and explainable machine learning.

Razvan Stanicaمشاهده پروفایل

دانشیار

• Wireless Networking
• Cellular Networks
• Energy Efficiency
• +۶ مورد دیگر

Razvan Stanica is an Associate Professor at the Telecommunications department of INSA Lyon and a member of the CITI laboratory and Inria Agora team. His research focuses on wireless networks, cellular architectures, energy efficiency, and mobile data analytics. He holds a PhD from the National Polytechnic Institute of Toulouse and has supervised numerous PhD and master's students in areas like vehicular networks and IoT. Education: Bachelor's and Master's from Politehnica University of Bucharest and National Polytechnic Institute of Toulouse (2008) PhD in Vehicular Networks from National Polytechnic Institute of Toulouse (2011) Research Interests: 5G/6G cellular networks, IoT, and energy-efficient designs Mobile data analytics and urban mobility modeling Vehicular networks (VANETs) and disaster communication systems Network slicing and privacy-preserving technologies Awards: Recognized as one of France's best junior researchers in computer networks (2021). His PhD was nominated for the Léopold Escande Prize (2011). Key Projects: ECOMOME (CHIST-ERA-funded project on energy consumption in cellular networks) SafeCityMap (Inria-funded pandemic mobility analysis) PEPR NAI (self-deployable mobile networks) Labs/Teams: CITI Lab and Inria Agora team at INSA Lyon, collaborating with institutions like ETS Montreal and Nokia Bell Labs.

Roberto Rodriguez-Echeverriaمشاهده پروفایل

دانشیار

• Software Engineering
• Model-Driven Engineering
• Machine Learning
• +۵ مورد دیگر

Roberto Rodriguez-Echeverria is an Associate Professor at the Computer Languages and Systems Department of the Universidad de Extremadura (Spain). He leads the Applied Informatic Technology Institute and co-founded MetrikaMedia, a SaaS company for multimedia content measurement. His research focuses on software engineering, model-driven engineering, machine learning, and legacy system modernization. Education: Bachelor and Master in Computer Science (2000), Universidad de Extremadura Master on Education and IT (2012), Universitat Oberta de Catalunya PhD in Computer Science (2014), Universidad de Extremadura Research interests include data-driven software development, medical image segmentation using SAM models, and educational technology applications like chatbot performance analysis in exams. He explores reproducible data science workflows and hybrid recommendation systems for media. Recent work highlights include advancing loss function analysis for COVID-19 lung scans and developing cost-efficient medical image segmentation techniques leveraging SAM's zero-shot capabilities. He also studies the impact of AI tools like ChatGPT on academic assessment methods. His contributions span over 50 publications since 2004, with recent focus on smart city applications, cloud cost estimation, and cooperative social process modeling. Rodriguez-Echeverria's work bridges theoretical computer science with practical industry solutions through his lab's applied research initiatives. Labs/Teams: Applied Informatic Technology Institute (Director) i3 Lab (Affiliated)