جست‌وجوی استاد و پژوهشگر

Paolo Mengoniمشاهده پروفایل

مدرس

• Artificial Intelligence
• Complex Network Analysis
• Natural Language Processing
• +۳ مورد دیگر

Dr. Paolo Mengoni is a Lecturer I at Hong Kong Baptist University (HKBU), specializing in Artificial Intelligence and Complex Network Analysis. Originally from Italy, he brings over 20 years of experience as an IT consultant and researcher. His work focuses on AI applications in education, natural language processing, emotion recognition, and autonomous agents. He holds a Ph.D. in Computer Science from the University of Florence and MSc/BSc degrees from the University of Perugia (Italy). Teaching responsibilities include courses like AI and Digital Communication , Basic Programming for Data Science , and Recommender Systems for Digital Media . His research explores topics such as learning analytics, sentiment analysis in social networks, and community detection in collaborative environments. He actively contributes to academic activities, including organizing international workshops like the 2020 Global Virtual Hack and Design Challenge and the HKBU-University of Perugia exchange program. His publications span journals and conferences including IEEE/WIC/ACM Web Intelligence, Future Generation Computer Systems, and IEEE International Symposia. He serves as a reviewer for venues such as IEEE Congress on Evolutionary Computation and the International Conference on Computational Science and Its Applications.

Larry Rudolphمشاهده پروفایل

استاد پژوهشی

• Mobile Computing
• Pervasive Computing
• Computer Networks
• +۷ مورد دیگر

Larry Rudolph is a Research Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds the role of Principal Research Scientist and has been a key contributor to projects like the Oxygen Research Group and the Computational Structures Group (CSG). His academic journey includes roles as a Full Professor at the Hebrew University of Jerusalem and postdoctoral research at the University of Toronto. Rudolph specializes in pervasive computing, mobile systems, and virtualization, with notable contributions to Bluetooth technology and location-aware computing. He has advised numerous students and pioneered courses such as MIT's 6.883 Pervasive Human-Centric & Mobile Computing. Education: PhD in Mathematics, Courant Institute, NYU (1977-1981) Postdoc in Computer Science, University of Toronto (1981-1982) Research Faculty, Carnegie-Mellon University (1982-1986) Full Professor, Hebrew University (1986-1997) Research Interests include mobile device virtualization, privacy in pervasive systems, and adaptive algorithms for personal data management. He co-founded Redigi, a marketplace for digital music resale, and led VMware's Mobile Virtualization Project. His work emphasizes experimental approaches to computer science, integrating hardware and software innovations. Notable Projects: Bluetooth Essentials for Programmers (book, 2007) Oxygen Research Group (2000-2005) Virtualization and pervasive computing systems Advising and Collaborations: Guided over 15 students to completion of Master’s and PhD theses Co-organizer of DOE Supercomputer Valuation and Workshop on Job Scheduling Contributions to CSAIL and NECSI (New England Complex Systems Institute) Labs/Teams: Active in CSAIL's Pervasive Computing initiatives and Oxygen sub-projects. Current focus includes mobile phone security, privacy-aware systems, and adaptive learning frameworks for personal data tagging.

Dimitri Bertsekasمشاهده پروفایل

استاد

• Optimization
• Game Theory
• Systems
• +۳ مورد دیگر

Dimitri Bertsekas is the Jerry Mcafee (1940) Professor in Engineering at the Massachusetts Institute of Technology. His research focuses on optimization, game theory, systems, networking, control, and autonomy. He works within the Laboratory for Information and Systems Decisions. His recent publications demonstrate a strong emphasis on reinforcement learning, dynamic programming, and algorithmic solutions for complex systems. Work spans applications in robotics, transportation optimization, computer vision, game AI, and knowledge systems. Common themes include multi-agent coordination, real-time decision-making under uncertainty, and scalable computational methods. Bertsekas contributes to both theoretical frameworks and practical implementations, with innovations in auction algorithms, rollout methods, and model predictive control integration.

• Wireless Communications
• Mobile Networking
• Internet of Things (IoT)
• +۸ مورد دیگر

Professor Abbas Jamalipour is a distinguished academic at the University of Sydney, holding the position of Professor of Ubiquitous Mobile Networking within the School of Electrical and Computer Engineering. He earned his PhD in Electrical Engineering from Nagoya University, Japan, and is a Fellow of IEEE, IEICE, and Engineers Australia. His research focuses on wireless and mobile networking, with contributions to 5G/6G, IoT security, resilient communications, and vehicular networks. Jamalipour leads the Wireless Networking Group (WiNG) and serves as President of the IEEE Vehicular Technology Society. Research interests span resilient communication systems for disaster scenarios, IoT healthcare applications, and edge computing. He has authored eight books, over 550 technical papers, and holds five patents. Notable awards include the 2010 IEEE ComSoc Harold Sobol Award and the 2010 Royal Academy of Engineering UK Distinguished Fellowship. Jamalipour has served as Editor-in-Chief of IEEE Wireless Communications and holds leadership roles in major IEEE committees and conferences. Current projects include 4G+/5G networks, wireless-powered IoT, UAV-enabled heterogeneous networks, and vehicular network security. His research students are engaged in topics like IoT security, fog computing, and autonomous driving applications. Jamalipour’s work bridges theoretical advancements with practical implementations, emphasizing technology’s role in enhancing societal resilience and quality of life.

William Bosworthمشاهده پروفایل

مدرس

• Political Theory
• Political Science
• Formal Theory
• +۳ مورد دیگر

Dr. William Bosworth is a Lecturer in Politics, Philosophy, and Economics (PPE) at the School of Politics & International Relations, The Australian National University. Previously, he held an LSE Fellowship in Political Theory at the London School of Economics. His research bridges formal methods (e.g., game theory, social choice theory) with the history of political thought and analytic political philosophy, often informed by his interest in the philosophy of logic and language. Education: He holds a PhD, though the specific institution of his doctoral studies is not specified in the text. Research focuses on cross-disciplinary PPE topics, including formal theory applications, political terminology precision, and epistemic challenges in democratic processes. His work appears in journals like the Journal of Politics , European Journal of Political Theory , and New Political Economy . Advising & Grants: Registered to supervise research students but no specific grants or funding details are provided. Labs/Teams: No specific laboratory or collaborative team affiliations are mentioned.

• Semantic Web
• Data Science
• Artificial Intelligence
• +۳ مورد دیگر

Florian Rupp holds roles as a Research Fellow and Lecturer, focusing on interdisciplinary research at the intersection of semantic web technologies, artificial intelligence, and game design. His work spans data modeling with RDF-star, reinforcement learning applications in game balancing, and procedural content generation. Research Interests: Semantic Web technologies (RDF-star, metadata modeling) AI-driven game design (reinforcement learning, evolutionary algorithms) Procedural content generation for games Game economy and level balancing mechanisms Key contributions include foundational work on RDF-star implementation and innovative applications of machine learning to game design challenges. Recent publications explore player perception in card games, simulation-driven level balancing, and algorithmic approaches to game economy design. No scientific awards or grants explicitly mentioned in provided materials.

Alexandre Tolstenkoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Algorithms
• Smartcontracts
• +۷ مورد دیگر

Alexandre Tolstenko is an Assistant Professor in the Computer Science & Innovation program within the Division of Information Technology & Sciences at Champlain College. He joined the institution in 2022 after a successful 15+ year career in the software industry. His educational background includes a BS in Computer Engineering from UNICAMP and an MS in Computer Science from UFPI, both institutions in Brazil. Dr. Tolstenko specializes in artificial intelligence, algorithms, smart contracts, blockchain technology, and game development. His research shows a strong focus on big data clustering algorithms, particularly DENCLUE variants and MapReduce frameworks. His work spans academic research and practical industry applications, with publications covering density-based clustering methods, sentiment analysis, natural language processing, and security topics. His research publications demonstrate a progression from fundamental clustering algorithms to practical applications in big data analytics, with recent work focusing on distributed computing frameworks for handling large-scale data problems. The publications also show interdisciplinary work connecting computer science with applications in digital forensics, Arabic language processing, and faculty hiring systems. Unity Awards Finalist 2012 Best paper award on SAE Aerodesign 2014 Best paper award on international Coloproctology journal 2017 Featured Startup on Innovativa Brazil 2018 With over 250 million product downloads across his industry career, Dr. Tolstenko brings substantial practical experience to his academic role, having served as developer, architect, and CTO in startup environments. His industry work includes implementing multiplayer networking for racing games, developing blockchain technology for NFT platforms, and porting game engines across multiple platforms. He maintains active research and development through his personal website, GitHub repositories, and the InfiniBrains blog, focusing on game development resources and emerging technologies.

Toby C.P. Solomonمشاهده پروفایل

پژوهشگر

• Formal Philosophy
• Decision Theory
• Philosophy of Free Will
• +۳ مورد دیگر

Dr. Toby C.P. Solomon is a postdoctoral researcher at Ludwig Maximilian University of Munich (LMU), supported by a DFG Fellowship and an Alexander von Humboldt Foundation grant. He holds a PhD in philosophy from the Australian National University (2021), alongside a B.A. (Hons) in philosophy and a B.Sc. in advanced mathematics and physics from the University of Sydney. His research focuses on formal philosophy, particularly applying decision theory to philosophical problems like free will and rational agency. He explores how practical rationality frameworks (e.g., mathematical decision theory) can resolve intractable debates. Current projects include modeling option-uncertainty in decision theory and defending Libertarian Decision Theory, which posits rational agents must presuppose choice freedom. Recent work addresses dynamic decision dilemmas for Causal Decision Theory, semantic paradoxes, and self-referential challenges in decision-making. His publications critically engage with foundational issues in decision theory and free will. Awards: DFG Fellowship, Alexander von Humboldt Foundation Fellowship Labs/Teams: Munich Center for Mathematical Philosophy (MCMP) Education: PhD (ANU, 2021), B.A./B.Sc. (University of Sydney)

Jia Taoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Theoretical Computer Science
• Game Theory
• +۴ مورد دیگر

Jia Tao is an Associate Professor of Computer Science at Lafayette College. His research focuses on the intersection of artificial intelligence, theoretical computer science, and game theory, particularly in knowledge representation and reasoning (KRR) and modal logic. He designs logical systems to model intelligent agents' decision-making processes in strategic contexts. His work explores concepts like blameworthiness, responsibility attribution, and epistemic reasoning in multi-agent systems. Education: Ph.D., Iowa State University (2012). Courses taught include Digital Media Computing, Data Structures and Algorithms, Principles of Programming Languages, and Artificial Intelligence. His research emphasizes formal logic frameworks for agent-based systems, with applications in security games and ethical decision-making. Key research trends in his publications include analyzing responsibility in collective actions, epistemic logic for blameworthiness, and formalizing knowledge dynamics under constraints. His work bridges theoretical foundations with practical AI applications, contributing to both computational logic and multi-agent system design. Advising and Grants: No specific grants or advisee names are listed in the provided text. His teaching philosophy emphasizes active learning through project-based assignments, such as digital media projects and algorithm implementations. Labs/Teams: No dedicated lab or team affiliations mentioned in the text.

• Computer Science
• Internet of Things (IoT)
• Cybersecurity
• +۳ مورد دیگر

Farha Ali is a Professor and Department Chair in the Department of Applied Computing at Lander University, located within the College of Business & Technology. Her primary email is fali@lander.edu, and she is based in Laura Lander Hall, LL304. Her research spans IoT systems, cybersecurity, sensor networks, and innovative computer science education methodologies. Professor Ali's work emphasizes bridging theoretical concepts with practical applications. Her research interests include enhancing IoT network performance through cryptographic analysis (e.g., ECDSA impacts), developing sensor-based smart surface networks, and advancing K-12 STEM education through interactive 'Serious Toys' projects. She has also contributed to ontology comparison tools for semantic web applications and security protocols for sensor networks. Her publications reflect a focus on both technical innovation and pedagogical strategies, spanning topics from IoT course design to real-time environmental monitoring systems. Despite her extensive contributions, no scientific awards were explicitly mentioned in the provided texts. While no advising relationships or grants were detailed, her role as Department Chair suggests leadership in academic and administrative initiatives. No specific lab affiliations were noted in the available information.

Michael F. Spearمشاهده پروفایل

دانشیار

• Concurrency
• Programming Languages
• Computer Architecture
• +۵ مورد دیگر

Michael F. Spear is an Associate Professor and Master's Program Director in the Department of Computer Science & Engineering at Lehigh University. His research focuses on concurrency, programming languages, and computer architecture, with an emphasis on persistent memory, transactional memory, and concurrent data structures. He leads a lab supported by industry partnerships with Intel, Google, and Oracle, as well as grants from the National Science Foundation and the U.S. Army. Education: Ph.D. and M.S. in Computer Science, University of Rochester M.B.A., University of Alaska, Anchorage B.S. in Computer Science, U.S. Military Academy (West Point) Research Interests: Spear's work aims to simplify concurrent programming through innovative software and hardware designs. He develops open-source frameworks like libLOL/JetLag for mobile game development and contributes to C++ transactional memory standards. His lab explores cloud infrastructure optimization, memory management, and scalable algorithms. Collaborations & Awards: Active collaborations include Arizona State University, Penn State University, and industry leaders in tech. Notable awards include the University of Rochester's Outstanding Dissertation Award and leadership in NSF-funded research initiatives. Labs & Contributions: Spear directs a lab producing tools for persistent/transactional memory systems and advises on C++ technical specifications. His work bridges theoretical computer science with practical industry applications, emphasizing scalability and correctness in multi-core environments.

• Biomedical Informatics
• Medical Imaging
• Medical Data Fusion
• +۳ مورد دیگر

Prof. Georgios Matsopoulos is a Professor at the Department of Information Transmission Systems and Materials Technology, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He holds a Master's in Biomechanics and a PhD from the University of Strathclyde, Glasgow. As Director of the Biomedical Technology Laboratory, his expertise spans biomedical informatics, medical imaging, and healthcare data systems. His research focuses on diagnostic support systems, medical data fusion, biosignal processing, and AI-driven health technologies. Education: Bachelor's: School of Electrical & Computer Engineering, NTUA Master's: Biomechanics, University of Strathclyde PhD: University of Strathclyde Research Interests: Development of decision support systems, medical imaging analysis, health information systems, and AI applications in healthcare. He emphasizes large-scale medical data processing, radiomics, and clinical decision frameworks. His over 300 publications (2025-2021) highlight advancements in AI-driven diagnostics, medical robotics (e.g., HERON ontology), and telehealth systems. He leads projects like TeleRehaB DSS for stroke rehabilitation and the Retention project for heart failure monitoring. Grants/Projects: Extensive experience in managing research programs across public and private sectors, including EU-funded initiatives in medical AI and robotics. Labs & Teams: Oversees the Biomedical Technology Laboratory, focusing on translational research in biomedical engineering and digital health.

• Digitalization in Healthcare
• Self-care in Heart Failure
• Nursing Informatics
• +۳ مورد دیگر

Fabio D’Agostino is an Associate Professor of Nursing Sciences at Saint Camillus International University of Health Sciences, habilitated for Full Professorship. He holds a PhD in Nursing Science from Tor Vergata University of Rome and a bachelor’s degree from Sapienza University of Rome. His postdoctoral research focused on biomedical and preventive care at Tor Vergata. His research emphasizes digitalization in healthcare and heart failure self-care, with notable contributions including the PAI software for clinical documentation and the TEC-MED multilingual platform. His work has been funded by the EU, the Italian Center of Excellence for Nursing Scholarship, and ACENDIO. Key areas include standardized nursing terminology, nursing informatics, and data science applications in healthcare. He has published over 70 peer-reviewed articles, addressing topics like nursing diagnoses, pediatric care complexity, and caregiver support systems. His educational focus includes technology-enhanced nursing education, evidenced by studies on nursing students’ well-being and standardized language training. He has also explored predictive models linking nursing data to patient outcomes, demonstrating interdisciplinary impact.

• Semantic Technologies
• Ambient Intelligence
• Mobile Computing
• +۷ مورد دیگر

Unai Aguilera Irazabal is a Lecturer at the Faculty of Engineering , University of Deusto, and a Researcher at DeustoTech. He holds a degree in Computer Engineering and a doctorate in Computer Science from the University of Deusto, along with a degree in Physics from UNED. Teaching: Computer Engineering, Video Games, Virtual/Augmented Reality Research: Semantic technologies, Ambient Intelligence, quantum computing, extended reality Labs: Coordinates the Immersive Lab at the Faculty of Engineering His work spans European, national, and regional projects, focusing on service provision in mobile environments, urban open data applications, and big data. He employs HTML elements to organize affiliations, research themes, and lab responsibilities in a structured narrative.

Antonio Norelliمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Deep Learning
• Explainable AI
• +۳ مورد دیگر

Antonio Norelli is a Research Fellow at Oxford University and a PhD student in Computer Science at Sapienza University of Rome, specializing in AI and deep learning within the GLADIA research group. His academic journey includes a BSc in Physics, an MSc in Computer Science, and the SSAS interdisciplinary honors program. He has held research internships at Spiketrap (San Francisco) and Amazon Lablet in Tübingen. His research focuses on bridging the gap between human and artificial intelligence, emphasizing symbolic reasoning, explainable AI, and multimodal learning. Notable contributions include the ASIF framework for unsupervised multimodal alignment and Olivaw, an Othello-playing AI that achieves expert-level performance without human knowledge. His key research interests span artificial scientific discovery, neural network explainability, and the theoretical foundations of intelligence. Recent work explores relative representation learning and zero-shot latent space communication, with applications in cross-modal retrieval and efficient model adaptation. Norelli’s interdisciplinary approach combines insights from philosophy of science (Popperian critical rationalism) with machine learning to develop systems capable of symbolic reasoning and hypothesis generation. Publications highlight advancements in: (1) Multimodal learning without training through coupled data alignment, (2) Game AI strategies for Othello using minimal resources, (3) Neuro-symbolic architectures for interpretable decision-making. His work has been presented at NeurIPS and IEEE Transactions on Games, among others. Current efforts aim to formalize intelligence as information-processing mechanisms grounded in symbol manipulation and semantic alignment.