جست‌وجوی استاد و پژوهشگر

• Distributed Machine Learning
• Privacy Preserving Computing
• Federated Learning
• +۳ مورد دیگر

Maximilian Egger is a Doctoral Researcher at the Institute for Communications Engineering under Prof. Antonia Wachter-Zeh at the Technical University of Munich (TUM). His research focuses on distributed machine learning, privacy-preserving computing, and information theory. He holds an M.Sc. in Electrical Engineering and Information Technology (2022, TUM) and a B.Eng. in Electrical Engineering (2020). He has conducted research stays at École Polytechnique Fédérale de Lausanne (2024) and Imperial College London (2023). Egger has received several awards, including the DAAD Scholarship (2023) and the VDE Award Bavaria (2020). His work emphasizes secure federated learning, Byzantine-resilient systems, and efficient distributed algorithms. He is affiliated with the Chair of Coding and Cryptography and actively contributes to advancements in decentralized learning systems. Recent publications highlight breakthroughs in privacy preservation, channel capacity estimation, and scalable federated edge learning.

Michael Krivelevichمشاهده پروفایل

استاد

• Probabilistic Methods in Combinatorics
• Random Structures
• Hypergraphs
• +۷ مورد دیگر

Prof. Michael Krivelevich holds the Baumritter Chair in Combinatorics at the School of Mathematical Sciences, Tel Aviv University. His research focuses on probabilistic methods in combinatorics, random graphs, and positional games. He has authored influential books such as Positional Games and contributed to foundational work in random graph theory. Currently teaching Introduction to Combinatorics and Graph Theory (Spring 2025), he has extensive experience in courses like Graph Theory and Hypergraph Coloring. His work bridges theoretical computer science, coding theory, and combinatorics, with over 150 publications. Recent research explores game-theoretic thresholds, random graph evolution, and equitable coloring algorithms. Education: Ph.D. in Mathematics, Tel Aviv University (not explicitly stated, inferred from career trajectory). Research Interests Krivelevich's work emphasizes random structures , extremal graph theory , and probabilistic combinatorics . He investigates phase transitions in random graphs, positional game strategies, and algorithmic challenges in graph coloring. His contributions include proving sharp thresholds for Hamilton cycle games and analyzing WalkSAT performance on smoothed k-CNF formulas. Collaborations span theoretical computer science and discrete mathematics. Publications Recent articles address Hamiltonicity in Maker-Breaker games, equitable coloring of random graphs, and smoothed analysis of satisfiability processes. His work often combines rigorous proofs with algorithmic insights. Teaching & Mentorship Guides students through advanced combinatorial topics and has taught foundational courses since 2002. No explicit student listings available in provided texts.

Philipp Koralusمشاهده پروفایل

استاد

• Philosophy of Cognitive Science
• Artificial Intelligence
• Philosophy of Language
• +۶ مورد دیگر

Philipp Koralus is the McCord Professor of Philosophy and AI at the University of Oxford and serves as Director of the Human-Centered AI Lab (HAI Lab) within the Institute for Ethics in AI. He is also a member of St Catherine's College. Koralus holds a Ph.D. in Philosophy and Neuroscience from Princeton University and a B.A. from Pomona College. His research focuses on the human capacity for reasoning and decision-making, exploring how these processes relate to artificial intelligence agents and large language models like GPT. He advocates for the Erotetic Theory of Reason (ETR), which posits that reason aims to resolve issues or questions directly, explaining both human rationality and fallibility. His work extends to moral judgment, definitions of intelligence, and interdisciplinary collaboration with computer scientists, psychologists, linguists, and neuroscientists. Koralus is preparing to launch the HAI Lab in Fall 2024, aiming to advance human-centered AI ethics and cognition research. His educational background includes advanced studies in philosophy and neuroscience, combining analytical rigor with empirical insights. Collaborations span diverse fields, including fisheries management through agent-based modeling and healthcare ethics in AI applications. He has published widely on topics such as attention mechanisms, visual perception, and the theoretical foundations of AI reasoning. Koralus regularly teaches graduate seminars on philosophy and AI, including upcoming sessions like 'Building the Philosophy to Code Pipeline' starting in 2025. He has supervised doctoral students in both philosophy and computer science but currently lists no specific advisees. His research has been recognized in symposia and commentary, though no formal scientific awards are explicitly mentioned.

Xiaoming Liمشاهده پروفایل

دانشیار

• Compiler Optimization
• Machine Learning for Code Generation
• Hardware-Software Interaction
• +۵ مورد دیگر

Xiaoming Li is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware , focusing on compiler optimization, GPU computing, and hardware-software interaction. His work bridges machine learning with code generation to enhance program efficiency. B.S. and M.E. from Nanjing University (1998, 2001) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (2006) Research interests include: Compiler optimizations for static and dynamic code transformation Machine learning-driven code generation techniques FFT algorithms for sparse and hybrid systems Non-traditional compilers for SAT solvers and virtual machines GPU acceleration for large-scale computational problems His publications span 15 years , emphasizing: FFT optimization across GPU/CPU architectures Compiler techniques for heterogeneous systems Adaptive scheduling and error resilience Integration of empirical and model-driven approaches Notable awards: NSF CAREER Award (2008) Best Paper Award at ADAPT Workshop (2013) Advising highlights: Current students: Ryan Taylor, Sha Li, Shuo Chen, Yuanfang Chen, Chao Yang, Chaoyu Chen Graduates: Liang Gu (FFT Libraries), Jakob Siegel (GPGPU Frameworks), Murat Bolat (Context-Aware Compilation)

Ming-Cheng Loمشاهده پروفایل

استاد

• Sociology
• Health and Illness
• Immigration
• +۷ مورد دیگر

Ming-Cheng Lo is a Professor of Sociology at the University of California, Davis. She holds a Ph.D. in Sociology from the University of Michigan, along with an M.A. in Comparative Literature and a B.A. in Foreign Languages and Literature from National Taiwan University. Her research focuses on health, immigration, civic engagement, and culture, particularly exploring how marginalized groups navigate challenging social environments through hybrid cultural strategies. She has conducted extensive studies on healthcare access for immigrants, disaster recovery in Taiwan, and the interplay of cultural codes in civil society. Her academic career includes co-editing the Routledge Handbook of Cultural Sociology (2010, 2019) and authoring Doctors within Borders: Profession, Ethnicity, and Modernity in Colonial Taiwan (2002). Her work bridges sociological theory with empirical studies, emphasizing themes like cultural capital, resistance, and transnationalism. She has received grants from institutions including the Pacific Rim Research Program and Robert Wood Johnson Foundation, supporting projects on pandemic governance, immigrant healthcare, and civil society dynamics. Professor Lo teaches courses on immigration, health sociology, and social movements at both undergraduate and graduate levels. Her research has been recognized through fellowships such as the Davis Humanities Institute Fellowship and APRU Fellowship, and she has authored over 50 peer-reviewed articles in leading journals like Theory and Society and Sociological Perspectives . Her recent work examines Taiwan’s pandemic governance during the 2021–2025 period, linking public health responses to broader sociopolitical trends. She collaborates with global scholars to analyze cultural mechanisms in disaster recovery and populism resistance, reflecting her commitment to sociological inquiry with global relevance.

Stefan Krastanovمشاهده پروفایل

استادیار

• Quantum Hardware Design and Control
• Resilient Noisy Quantum Circuits
• Entanglement and Quantum Networking
• +۳ مورد دیگر

Stefan Krastanov is an Assistant Professor at the University of Massachusetts Amherst, focusing on quantum hardware design, control, and optimization across multiple layers of quantum computing and networking technologies. His work bridges physical hardware descriptions with logical circuit compilation, emphasizing resilience in noisy quantum systems. Research Interests include Quantum Hardware Design, Entanglement-Based Networking, Quantum Error Correction, and Modeling Software for Quantum Systems. His primary lab is the Quantum Information Lab , with affiliations to the Advanced Classical and Quantum Information Research Lab. Recent work trends highlight advancements in quantum repeater networks, error-corrected compilation, and photonic neural networks. His publications span topics like non-Markovian dynamics simulation, NP-hard optimization in quantum dot arrays, and scalable spin quantum memory control. Labs and Teams: Quantum Information Lab (leading experimental/theoretical work) and collaborations through the Advanced Classical and Quantum Information Research Lab.

Taisu Zhangمشاهده پروفایل

استاد

• Comparative legal and economic history
• Private law theory
• Contemporary Chinese law and politics
• +۳ مورد دیگر

Taisu Zhang is a Professor of Law and History at Yale University, holding dual appointments in Yale Law School and the Department of History. He is also a Global Faculty member at Peking University Law School and serves as President of the International Society for Chinese Law and History. His expertise spans comparative legal and economic history, private law theory, and contemporary Chinese law and politics. Dr. Zhang earned his Ph.D. in History (2014), J.D. (2008), and B.A. (2005) from Yale University. He has taught at Duke University School of Law, the University of Hong Kong, Brown University, and Tsinghua University School of Law. His research focuses on the intersection of legal systems, economic structures, and political power, particularly in Chinese and global contexts. Notable works include The Laws and Economics of Confucianism (Cambridge, 2017), which received major academic awards, and a forthcoming book on the Qing fiscal state. His articles explore topics like legal convergence, authoritarian legitimacy, and the evolution of Chinese legal institutions. Recent scholarship highlights trends in analyzing legal systems within authoritarian regimes, the role of information in state governance, and the historical foundations of modern Chinese legal frameworks. His work bridges historical analysis with contemporary policy debates, emphasizing cross-cultural comparisons. Zhang has been recognized for his contributions with prestigious awards, including the 2018 Presidents Award from the Social Science History Association and the 2018 Gaddis Smith Book Prize. He actively contributes to media discussions on Chinese law and politics, blending academic rigor with public engagement.

Asli Göçmenمشاهده پروفایل

دانشیار

• Environmental Planning
• Sustainable Land Development
• GIS Applications in Urban Planning
• +۴ مورد دیگر

Asli Göçmen is an Associate Professor at the University of Wisconsin–Madison in the Department of Geography & Nelson Institute for Environmental Studies. Her work focuses on environmental planning, sustainable land development, and GIS applications. She holds a Ph.D. from the University of Michigan and has expertise in spatial analysis and urban planning. Education: Ph.D., Urban, Technological, and Environmental Planning, University of Michigan Certificate in Spatial Analysis & GIS, University of Michigan Master of Community Planning, University of Cincinnati Bachelor of City Planning, Middle East Technical University, Turkey Research Interests: Examines human dimensions of environmental sustainability, particularly how stakeholders' attitudes and policies influence land development patterns. Current projects include planner perspectives on sustainable development and conservation subdivisions' ecological benefits. Teaching: Urban & Regional Planning 622: GIS Applications in Planning Urban & Regional Planning 841: Planning for the Ecological City Urban & Regional Planning 590: Resilience to Natural Hazards Advising & Students: Advised over 20 graduate students in urban planning and environmental studies programs. Current advisees include Colleen Henegan and Alex Jeffers. Former students have contributed to ecological design and policy research.

Yizhou Sunمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Graph Neural Networks
• +۳ مورد دیگر

Professor Yizhou Sun is affiliated with the University of California Los Angeles (UCLA) and the Henry Samueli School of Engineering and Applied Science . Her academic work focuses on Machine Learning , Artificial Intelligence , and Graph Neural Networks within the Computer Science department. Her research spans High-Level Synthesis , Causal Inference , and Computational Biology , with recent publications addressing neural network compression, language model safety, and dynamical system modeling. The trends in her recent 2025 and 2024 publications emphasize Deep Learning , Graph Theory , and Language Model Optimization , reflecting interdisciplinary applications in Biomedical Data , Hardware Design , and Physical Simulation .

Eunjung Leeمشاهده پروفایل

استادیار

• Educational Technology
• Gifted Education
• Teacher Education
• +۳ مورد دیگر

Eunjung Lee serves as Assistant Professor of Business Analytics in the College of Business at Lewis University, bringing extensive industry experience from Samsung and LG alongside prior academic roles at Indiana State University. Her expertise bridges business analytics and educational technology with a pronounced focus on equity-driven research. Her educational foundation includes: Ph.D. in Information Technology Management, University of Wisconsin-Milwaukee M.B.A., Korea University B.S., Kwangwoon University Dr. Lee's research trajectory evolved from business analytics toward educational equity, with recent work emphasizing computational thinking in mathematics education, teacher preparation models, and machine learning applications for gifted identification. She investigates how digital tools transform pedagogy while addressing systemic barriers for underrepresented students. Analysis of her 2022-2025 publications reveals dominant themes in equitable gifted identification through cross-cultural validation of the HOPE rating scale, computational thinking integration in teacher training, and longitudinal studies of enrichment program impacts. Her methodology consistently combines quantitative analysis with equity-centered frameworks. No scientific awards were documented in available sources. While specific advising details remain unreported, her courses in Business Intelligence and Forecasting demonstrate applied analytics instruction. Research grants weren't specified in source materials. Collaborative structures like the Lowell Stahl Center for Entrepreneurship provide institutional context, though dedicated labs or research teams weren't explicitly referenced.

• Remote Sensing
• Machine Learning
• Earth Observation
• +۳ مورد دیگر

Begüm Demir is a Professor and Head of the Remote Sensing Image Analysis (RSiM) Group at the Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin. Her research focuses on scalable machine learning methods for remote sensing and Earth observation data analysis. Previously, she held positions at the University of Trento, where she was promoted to Associate Professor in 2017 and received an ERC Starting Grant for her BigEarth project. Key research interests include: Deep learning for satellite image analysis Big data processing in geosciences Earth observation data democratization Noise-robust machine learning models Recent projects highlight collaboration with Huawei in wireless communication-EO integration and leadership in initiatives like Agora-EO and TreeSatAI . Awards include the 2018 IEEE GRSS Early Career Award. Grants include funding from the German Research Foundation (DFG) and Federal Ministry of Education and Research (BMBF). Active in editorial roles for IEEE Geoscience and Remote Sensing Letters, and guest editorships in leading journals. Publicly accessible datasets like BigEarthNet and code repositories enhance her contributions to open science.

Yasir Nooriمشاهده پروفایل

مدرس

• 2D Materials
• Electrochemical Deposition
• Quantum Information
• +۲ مورد دیگر

Dr. Yasir Noori is a Lecturer in the School of Electronics and Computer Science at the University of Southampton. His research focuses on 2D materials, electrochemical deposition, quantum information, and integrated photonics. He leads a team of PhD researchers and has contributed to a £1.5m EPSRC project as a Co-Investigator. Education: PhD in Integrated Photonics and Quantum Communications (2017, Lancaster University), BEng (Hons) in Electronic Engineering and Physics (2013, University of Dundee). Awards include the Dean’s Award for early career researchers and IOP Philip-Buckle Science Communication Award. Research Interests: Specializes in 2D material heterostructures, semiconductor fabrication, and quantum technologies. Active in EPSRC Peer Review College and serves as Academic Conduct Officer for his school. Publications: Over 15 peer-reviewed articles in high-impact journals like Nature Reviews Chemistry and ACS Applied Materials. Focused on electrodeposition techniques, nanofabrication, and optoelectronic device development. Awards: Multiple conference awards, including Best Poster recognitions at 2D TMDC and Optical Waveguide Theory conferences. Also holds the Three-Minutes Thesis Award from Lancaster University. Teaching: Instructs courses like Semiconductor Devices, Materials and Sensors (ELEC2230) and supervises MSc/BEng projects. Committed to fostering student research through collaborative projects. Labs & Teams: Directs a group including Shaokai Song, Hongwei Zhang, and Ismaeil Alnaab. Current opportunities available for PhD candidates interested in 2D materials and nanofabrication.

• Information Systems
• Operations Management
• Business Strategy
• +۵ مورد دیگر

Henrique O'Neill is an Associate Professor (with Habilitation) in the Department of Marketing, Operations and General Management at ISCTE - University Institute of Lisbon, Portugal. He is an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. His research focuses on information systems adoption, organizational strategy, and process optimization in healthcare, finance, and public administration. Education: PhD in Business Organization and Management - University of Cranfield (1995) Master's in Electrical and Computer Engineering - Higher Technical Institute (1987) Bachelor's in Electrical Engineering - Higher Technical Institute (1983) Research Interests: His work spans business/IT strategy, systems modeling, process analysis, and technology implementation. Key domains include healthcare informatics, banking systems, and Industry 4.0 applications. He emphasizes practical solutions for organizational performance through technology integration. Publication Trends: Recent articles explore intelligent business systems, telemedicine, design science methodologies, and supply chain innovation. His work consistently bridges theoretical frameworks with sector-specific applications in healthcare, education, and logistics. Professional Engagement: Member: Portuguese Telemedicine Association, Order of Engineers Commissioner: INEM (National Institute of Medical Emergency) reform study Director: Center for IT Development (2010-2014) Advising & Projects: Supervises 7 graduate students (1 PhD, 6 Master's). Leads EU-funded projects including: Atlantic Crossing (2024-2025): US-Portugal academic collaboration in AI/cybersecurity AAL4ALL (2011-2015): Ambient Assisted Living ecosystem UNITE (2000-2002): Ubiquitous teamwork platforms

• Causal Inference
• Bayesian Modeling
• Biostatistics
• +۷ مورد دیگر

Xiaoxiao Zhou is an Assistant Professor in the Department of Biostatistics at the University of Alabama at Birmingham (UAB), affiliated with multiple centers including the Center for Outcomes and Effectiveness Research and Education (COERE), Center for Clinical and Translational Science (CCTS), and the Global Center for Craniofacial, Oral and Dental Disorders (GC-CODED). She holds a PhD in Statistics from The Chinese University of Hong Kong (2022) and completed a postdoctoral fellowship at Duke University's Department of Statistical Science. Her research focuses on causal inference, Bayesian methods, longitudinal data analysis, and survival analysis, with applications in Alzheimer’s disease, cardiovascular conditions, and neurodegenerative disorders. Dr. Zhou’s work integrates advanced statistical techniques with medical and behavioral data, including neuroimaging and latent variable modeling. Key areas include handling intercurrent events in clinical trials, causal mediation analysis, and joint modeling of longitudinal and survival outcomes. She collaborates widely with clinicians and biostatisticians to address real-world challenges in healthcare and disease progression studies. Her scholarly contributions span over a dozen peer-reviewed articles, emphasizing methodological innovations in biostatistics and their practical applications. She advises students such as Zhenying Ding and actively participates in academic committees. Outside academia, she enjoys outdoor activities like mountain hiking and weight lifting.

Nilanjan Banerjeeمشاهده پروفایل

استاد

• Mobile Computing
• Pervasive Computing
• Sensor Systems
• +۶ مورد دیگر

Dr. Nilanjan Banerjee is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He leads the Mobile, Pervasive, and Sensor System Lab, focusing on embedded and distributed systems for mobile, pervasive, and sustainability-based computing. His research spans renewable energy-driven systems, health diagnostics, mobile usability, and experimental testbed design. He holds a Ph.D. in Computer Science from the University of Massachusetts (2009), an M.S. from the same institution (2007), and a B.Tech. (Hons) from the Indian Institute of Technology (2004). Dr. Banerjee's work emphasizes interdisciplinary innovation, including low-power wearable devices for health monitoring (e.g., RestEaZe), cybersecurity frameworks for embedded systems (e.g., CARE), and sensor-based solutions for environmental sustainability. His contributions address challenges in mobility, energy efficiency, and accessibility, such as the Presight sidewalk localization system for visually impaired riders and the Inviz gesture-recognition textile sensors. His recent publications (2018–2021) reflect a focus on health technology, cybersecurity, and sustainable systems. Notable trends include: Integration of machine learning with sensor data for medical applications (e.g., sleep analysis, infection detection) Development of lightweight security protocols for embedded devices Exploration of renewable energy solutions for mobile and sensor networks No scientific awards are explicitly listed in the provided text. His academic advising and grant activities are not detailed here, but his lab's active research suggests significant collaborative projects. The lab also pioneers educational strategies in mobile app development and inclusive faculty recruitment through peer education programs like STRIDE.