جستجوی استاد راهنمای دانشگاهی

Azim Ahmadzadehمشاهده پروفایل

استادیار

• Machine Learning
• Space Weather Forecasting
• Solar Physics
• +۴ مورد دیگر

Azim Ahmadzadeh serves as an Assistant Professor in the Department of Computer Science at the University of Missouri–St. Louis within the College of Arts and Sciences. Holding a Ph.D. in Computer Science from Georgia State University (2021), he maintains office hours in 329 ESH on Mondays and Wednesdays from 5:00-6:30 PM via Zoom or in person, with flexible scheduling options for students. Education: Ph.D. Computer Science, Georgia State University, 2021 Dr. Ahmadzadeh's research pioneers machine learning applications for space weather forecasting, specializing in solar flare prediction through innovative time series analysis and computer vision techniques. His work systematically addresses critical challenges including extreme class imbalance in solar datasets, temporal coherence requirements, and data scarcity through novel algorithmic developments. Key contributions include advanced similarity metrics for multivariate time series, synthetic data generation frameworks, and anomaly detection systems specifically designed for solar observations. His publication trajectory (2022-2025) reveals a strategic focus on operationalizing machine learning for heliophysics, with significant output in solar filament detection systems (Elements, MAGFILO), time series analysis innovations (Multiscale Dubuc, Ts-miou), and practical guides for scientific data annotation. This work bridges theoretical machine learning with real-world space weather forecasting needs, evidenced by roadmap documents for SEP monitoring and solar research cyberinfrastructure. Dr. Ahmadzadeh actively develops open resources for the solar physics community including manually annotated datasets, standardized annotation protocols, and ML-ready data pipelines. His research program demonstrates strong interdisciplinary collaboration potential with space agencies and observatories, particularly through contributions to white papers on solar research infrastructure and operational forecasting requirements.

Fabrizio Palmasمشاهده پروفایل

مدرس

• Extended Reality (XR)
• Gamification
• Immersive Learning
• +۳ مورد دیگر

Dr. Fabrizio Palmas is a Lecturer in Management and Digitalization at the Technical University of Munich, while also serving as Creative & Technical Director at straightlabs. His work focuses on extended reality training, gamification, and digital learning culture, bridging academia and industry through innovative projects. Research Interests: Extended Reality (XR) applications in education and corporate training Gamification strategies for immersive learning Digital transformation in management Interactive dialogue generation with NLP Historical preservation through VR Human-centered digital twin creation Scientific Awards: B.DiGiTAL Award of the Bavarian State Ministry for Digital Affairs New Realities Award (2020) Best Debut and Best Immersive Experience for Social Impact by Raindance Immersive (2022) Notable Collaborations: Meta partnership for metaverse-based education research Development of the München 72 Social VR experience Creative leadership in the Freising Cathedral VR project

Laura Sūnaمشاهده پروفایل

پژوهشگر

• Media Literacy
• Artificial Intelligence
• Digital Media
• +۶ مورد دیگر

Laura Sūna is a researcher at the University of Siegen's Faculty I Media Studies, focusing on media literacy, digital transformation, and migration. She is currently a research assistant in the BMFSFJ-funded project Digital Germany since December 2020. Previously, she worked at the Free University of Berlin (2015–2020) and the University of Bremen (2012–2018). Research Focus: Media literacy in digital societies, AI ethics, emotional communities, diaspora media practices, and transnational identity. Key Projects: Collaborative Research Center 1171 Affective Societies, DFG projects on digital media and migration communities. Her recent publications analyze AI literacy, algorithmic discrimination, and affective dynamics in media consumption. She contributes to debates on digital equity, cultural integration, and critical reflection in data-driven environments. Methodology: Combines qualitative studies with media ethnography and discourse analysis. Collaborations: Works with Dagmar Hoffmann, Cigdem Bozdag, and Andreas Hepp on interdisciplinary media research.

Luigi Pintacudaمشاهده پروفایل

مدرس ارشد

• Urban Resilience
• Sustainable Urban Design
• GIS and Spatial Analysis
• +۵ مورد دیگر

Dr. Luigi Pintacuda serves as Head of Architecture and Design at the University of Hertfordshire's School of Creative Arts, where he leads the Architecture+ Research Group. A chartered architect (ARB RIBA) with over a decade of academic leadership experience, his work bridges urban-scale design, sustainable futures, and computational methodologies for resilient communities. His educational foundation includes: PhD in Architecture, IUAV - Istituto Universitario di Architettura di Venezia (2012) MArch+BA in Architecture, Università degli Studi di Palermo (2004) Pintacuda's research centers on urban resilience through design-driven approaches, specializing in GIS data integration, AI-assisted decision-making tools, and climate-adaptive regeneration of built environments. His work develops analytical frameworks for measuring community resilience while addressing Mediterranean urban contexts like Bucharest and Matera. Recent projects emphasize transformative pedagogy through summer schools that catalyze real-world urban interventions. Analysis of his 32+ research outputs reveals consistent focus on computational resilience measurement (50%), climate-adaptive urban tools (30%), and pedagogical innovation (20%). His 2023-2025 publications demonstrate accelerating integration of AI-driven platforms with traditional architectural practice, particularly in Italian urban contexts. As Principal Investigator, Pintacuda directs six major projects including Shaping Future Latina (2024-2025), Geraci Siculo: "Missione Futuro" (2024-2025), and PRISONERS OF ARCHITECTURE (2024). These initiatives feature: Summer school frameworks engaging Latinas communities Net-zero carbon assessment tools for urban areas Design workshops bridging museums and correctional facilities Collaborative partnerships with Italian city councils He leads the Architecture+ Research Group, fostering cross-disciplinary work on urban typology, resilient communities, and adaptive reuse strategies through international collaborations across Europe.

QIU Leiمشاهده پروفایل

استاد

• Analog-to-Digital Converters
• Integrated Circuit Design
• Low Power Electronics
• +۳ مورد دیگر

QIU Lei is a Professor at the Department of Electronic Science & Technology, TongJi University. His work focuses on analog and digital circuit design with applications in communication systems and biomedical engineering. Research Fields : High-Speed ADCs, Low Power Sensors, Signal Chain Processing, Cognitive Radio Courses Taught : Analog IC Analysis and Design (Undergraduate), Advanced IC Design (Graduate) QIU Lei’s research emphasizes high-speed and ultra-high-speed analog-to-digital converters (ADCs) using time- and frequency-interleaving architectures, low-power temperature sensors, and baseband processing systems. His publications highlight implementations in 65nm CMOS and SiGe BiCMOS technologies for applications like software-defined radio, PET imaging, and 5G mm-wave systems. Key trends in his work include digital calibration techniques for SAR ADCs, time skew compensation in time-interleaved systems, and energy-efficient circuit design for biomedical and radar applications. QIU Lei has supervised students in projects related to ADC architectures, cognitive radio receivers, and frequency synthesizers.

Hu Caoمشاهده پروفایل

پژوهشگر

• Autonomous Driving
• Robotic Grasping
• Medical Image Analysis
• +۵ مورد دیگر

Hu Cao is a postdoctoral research associate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems (Prof. Alois Knoll) at the Technical University of Munich (TUM) . Holding a Ph.D. from TUM, his research bridges autonomous driving , robotic grasping , medical image analysis , and dense prediction (classification, detection, segmentation). Education : Ph.D. from TUM Hu's work explores: Autonomous Driving : Perception under adverse conditions, multi-sensor fusion, and risk-based safety models Robotic Grasping : Vision-language integration for 6D pose estimation Medical Imaging : Transformer-based segmentation techniques (e.g., Swin-Unet) His recent publications include 15+ works at top venues like CVPR , ICCV , IEEE TPAMI , and IEEE TIV , with 6052+ Google Scholar citations . Notably, Swin-Unet ranks among the top 3 most cited ECCV papers in 5 years, and his work on event-based autonomous driving perception was featured in IEEE Xplore Innovation Spotlight . Editorial roles include: Associate Editor for Visual Intelligence and Frontiers in Neurorobotics Editorial Board member of Artificial Intelligence and Autonomous Systems (AIAS) Topic Editor for Frontiers in Robotics and AI and Frontiers in Neuroscience He has reviewed for 20+ top journals (e.g., Nature Computational Science , IEEE TRO ) and served on program committees for NeurIPS , CVPR , ICCV , and MICCAI .

Jürgen Seitzمشاهده پروفایل

استاد

• Business Information Systems
• e-Business
• e-Finance
• +۹ مورد دیگر

Prof. Dr. Jürgen Seitz is a full Professor and Head of the Business Information Systems programme at the Baden-Württemberg Cooperative State University (DHBW) in Heidenheim, Germany. Since April 2001 he has shaped the university’s applied informatics curriculum and serves as data-protection liaison and German Informatics Society (GI) trustee. Internationally, he is Associate Editor for several journals and chairs tracks at conferences such as WHICEB and Bled eConference. Education 1988–1991 Diplom-Betriebswirt (BA), Berufsakademie Stuttgart (now DHBW) – focus on data processing 1992–1996 Diplom-Ökonom, University of Hohenheim – economics 1998 Dr. rer. pol., Europa-Universität Viadrina – dissertation on the impact of IT on banking structures Research Interests Seitz’s research integrates business informatics with pressing societal challenges. Key themes include: e-Finance & FinTech: cryptocurrency literacy, blockchain sustainability, digital payment futures e-Health & Health Telematics: barrier-free e-kiosk design, telematics infrastructure for electronic health cards, pandemic digital health solutions Data Management & Analytics: heterogeneous data-warehouse integration, big-data approaches to agriculture, water-quality prediction, renewable-energy forecasting IT Management & Modeling: business-model evaluation, Industry 4.0 architectures, enterprise system integration Publication Trends Across more than 150 peer-reviewed works (1998–2024), Seitz demonstrates a shift from foundational studies in e-commerce and digital watermarking to cutting-edge applications of AI, blockchain, and data analytics in finance, health, and sustainability. Recent articles emphasize machine-learning techniques (k-means, ARIMA, PCA) applied to global agriculture, renewable-energy growth, and gendered cryptocurrency adoption, reflecting a commitment to data-driven, cross-disciplinary impact. Editorial & Scientific Service Associate Editor: International Journal of Networking and Virtual Organisations (IJNVO) , Journal of Cases on Information Technology (JCIT) , International Journal of Cases on Electronic Commerce (IJCEC) Editorial Board Member: International Journal of Global Sourcing and Management (IJGSM) , Journal of Digital Marketing (JDM) , Journal of Internet Banking and Commerce (JIBC) , among others Conference Chair/Co-Chair: WHICEB (Wuhan International Conference on E-Business), Bled eConference eHealth Track Technical Programme Committee Member: IEEE ICDMAI, IEEE IEMCON, IEEE UEMCON, CCWC External examiner & guest lecturer in China, India, USA, Australia, Malaysia, Jordan, Poland, UK, Belarus Advising & Collaborative Networks While individual student names are not disclosed, Seitz mentors within the DHBW cooperative-education model and supervises industry-linked capstone projects. He is a key liaison for German industry partners and international universities, facilitating funded research on FinTech adoption, e-health feasibility, and sustainable IT architectures. His leadership of the Business Informatics programme positions him to coordinate grants and consortia across Europe and Asia. Laboratories & Teams At DHBW Heidenheim, Seitz steers the Business Informatics Lab —a hub for applied R&D projects with corporate partners such as Landesbank Baden-Württemberg and health-sector IT providers. The lab focuses on prototyping blockchain-based e-prescription systems, evaluating FinTech business models, and deploying predictive-maintenance analytics in automotive supply chains. Interdisciplinary student teams work under his guidance to translate academic insights into market-ready solutions.

• Nonblocking Algorithms
• Concurrent Data Structures
• Memory Reclamation
• +۳ مورد دیگر

Ruslan Nikolaev is an Assistant Professor in the Department of Computer Science and Engineering, specializing in nonblocking algorithms, memory reclamation, and concurrent data structures. His research spans operating systems, virtualization, and lock-free programming paradigms. Academic Rank: Assistant Professor Department: Computer Science and Engineering Research Interests focus on: Nonblocking and wait-free algorithms Memory-efficient reclamation techniques Lock-free data structures Operating system virtualization Device driver security Recent work includes 2025 advancements in SCOT and RRR-SMR frameworks for nonblocking structures, 2024 contributions to wait-free reclamation, and 2022 innovations in address space randomization (Adelie), critical service domains (Kite), and wait-free queues (Wcq). Earlier projects (2013-2020) explored OS virtualization (VirtuOS) and reclamation mechanisms (LibrettOS). Trends in his publications highlight: Optimization of concurrent algorithms Security enhancements in Linux drivers Virtualization techniques for critical services Efficient memory management strategies Robust fault tolerance in distributed systems

Oreste Pollicinoمشاهده پروفایل

استاد

• Constitutional Law
• Comparative Law
• Media Law
• +۴ مورد دیگر

Oreste Pollicino is a Full Professor of Constitutional Law and Media Law at Bocconi University, specializing in digital law and legal technology. He directs the LL.M. in Law of Internet Technology and co-directs the Baffi-Careffin Research Center (RULES Bocconi). His expertise spans constitutional governance, AI regulation, and digital platforms. University of Messina (LL.B) College of Europe, Bruges (LL.M) Research focuses on Constitutional Law , Media Law , Internet Law , and Life Sciences Law . Recent publications analyze AI's constitutional implications, healthcare applications, and platform regulation strategies through algorithmic certification and comparative frameworks. Scientific grants include multiple Bocconi Senior Research Grants (2018–2022) and the Horizon 2020 GECKO project (2018). Awards highlight his leadership in EU digital policy initiatives.

Tim Whiteمشاهده پروفایل

پژوهشگر ارشد

• Housing Studies
• Political Economy
• Urban Studies
• +۳ مورد دیگر

Tim White is a Leverhulme Early Career Fellow at Queen Mary, University of London, affiliated with the John F. Kennedy Institute and the Department of Sociology. He earned his PhD in Sociology from the London School of Economics in 2023 and has worked at the Free University of Berlin and Cardiff University. Research Focus: Housing, land, property, and power dynamics in financialized urban systems Interdisciplinary Approach: Urban studies, economic sociology, critical political economy His recent work explores the digital transformation of housing systems, linking ownership structures and financial strategies to everyday social experiences. He analyzes inequality, wealth distribution, and the political economy of land, with publications in journals like Economy and Society and Digital Geography and Society . Key projects include studies on co-living, tiny houses, and algorithmic rent extraction. Scientific awards include the Leverhulme Early Career Fellowship. His publications reflect trends at the intersection of technology, housing, and capital accumulation.

• Control Systems Engineering
• Networked Control Systems
• Diffusion Processes
• +۴ مورد دیگر

Fangzhou Liu is currently a Professor at the Research Institute of Intelligent Control and Systems, School of Astronautics, Harbin Institute of Technology, China (2022–Present). He previously held a postdoctoral position (2019–2022) and completed his PhD (2014–2019) at the Chair of Automatic Control Engineering, Technische Universität München, Germany. His academic journey includes a visiting PhD stint at the University of Groningen (2018) and degrees from Harbin Institute of Technology: M.Sc. (2012–2014) and B.Sc. (2008–2012) in Control Science and Engineering. Research Interests: Focus on control of complex systems, including diffusion processes over complex networks, opinion dynamics, networked control systems, model predictive control, and sliding mode control. Key themes: large-scale systems, dynamic optimization, and robust control. Publication Trends: Recent works emphasize robotic control (reinforcement learning, barrier functions), switched systems (parameter estimation, identification), and epidemic modeling (deep transfer learning for forecasting). Collaborations with Martin Buss and others span robotics, control algorithms, and optimization. Awards: PhD Award 2019 of the Department of Electrical and Computer Engineering Labs & Teams: Affiliated with the Chair of Automatic Control Engineering (Technische Universität München) and Harbin Institute of Technology’s Research Institute of Intelligent Control and Systems. Collaborates on projects involving intelligent control, robotics, and networked systems.

• Algorithms on strings
• Formal language theory
• Bioinformatics
• +۳ مورد دیگر

Chiara Epifanio is a researcher (INFO-01/A) at the University of Palermo , based in the Department of Mathematics and Computer Science . She holds regular office hours on Tuesdays 14:30–17:00 in Room 104, first floor, Via Archirafi 34, and can be reached at chiara.epifanio@unipa.it . Over the past fifteen years she has designed and taught a diverse portfolio of courses spanning Programming , Bioinformatics , Advanced Programming , Teaching Methodologies and Techniques for Computer Science and Pattern Discovery for Life Sciences . These offerings serve degree programmes in Mathematics, Computer Science, Statistics & Data Science, and the recently launched curricula in Data, Algorithms & Machine Intelligence and Computer Science & Artificial Intelligence . Her research lies at the intersection of combinatorics on words , string algorithms , and bioinformatics . She has made sustained contributions to the design of alignment-free distances for biological data, the theory of Sturmian words and their associated graphs, suffix automata tolerant to mismatches, and compact data structures such as linear-size suffix tries. The work repeatedly draws on deep results from formal language theory, automata theory, and discrete mathematics to solve practical problems in sequence analysis. Publications trend: From 2004 onward she has produced a steady stream of peer-reviewed articles that move from foundational combinatorial results on Sturmian words and critical factorization theorems toward application-driven studies on approximate string matching and genomic data mining. A marked acceleration is visible in the 2023 publications addressing k-Hamming and k-edit distances, reflecting current demands in large-scale biological data analytics. Scientific awards: None explicitly mentioned in the provided material. Advising & grants: No PhD or Master’s students are listed in the supplied pages, and no funded project descriptions are available. Laboratories & teams: While no specific lab is named, her teaching and research are embedded within the Department of Mathematics and Computer Science, which hosts groups in algorithms, discrete mathematics, and bioinformatics, and provides access to the university’s ATeN Center and other research infrastructures.

Charles Ichokuمشاهده پروفایل

استاد

• Earth Observation
• Climatology
• Wildfires and Emissions
• +۵ مورد دیگر

Charles Ichoku is a Professor and Director of GESTAR II at the University of Maryland, Baltimore County (UMBC) in the Department of Geography & Environmental Systems. His work focuses on Earth Observation, Climatology, Wildfire Emissions, Atmospheric Composition, and Water Cycle Dynamics in Africa and globally. Ph.D. in Remote Sensing and Environmental Science, Sorbonne Universités – Pierre et Marie Curie, Paris, France (1993) His research spans wildfire monitoring, smoke aerosol emissions, African climate impacts on hydrology, and satellite-based aerosol characterization. Recent trends in his publications highlight fire radiative power, PM2.5 health effects, and intercomparison of emission datasets. He collaborates with NASA, universities, and international teams on projects like FireX-AQ and global aerosol modeling. His lab, GESTAR II, integrates satellite data with ground observations for environmental validation.

Bryan T. Adeyمشاهده پروفایل

استاد

• Infrastructure Management
• Systems Engineering
• Risk and Resilience Analysis
• +۵ مورد دیگر

Prof. Dr. Bryan T. Adey is a full Professor at the Swiss Federal Institute of Technology in Zurich (ETHZ) within the Department of Civil, Environmental and Geomatic Engineering . He directs the Institute for Construction and Infrastructure Management and leads the Masters Spatial Planning and Infrastructure Systems program. His research focuses on improving infrastructure management through process standardization, automation, and optimization for systems like road networks, rail networks, and water distribution networks. Specializes in infrastructure resilience and post-disaster recovery Active participant in European research projects (e.g., Destination Rail, Foresee) Editorial Board member of Journal of Infrastructure Asset Management and Journal of Infrastructure Systems His recent publications emphasize: Ensemble learning for water pipe failure prediction Simulation-based optimization for flood recovery Resilience quantification frameworks Cost-benefit analysis for urban mobility transitions He contributes to global infrastructure standards through: Leadership in VSS committee 4.3 Consultancy for major infrastructure owners Active reviewing for 20+ international journals

Kilian Bühlingمشاهده پروفایل

پژوهشگر

• Political communication in digital publics
• Network analysis
• Machine learning and quantitative research methods
• +۳ مورد دیگر

Dr. Kilian Bühling is a Research Associate at the Weizenbaum Institute for Networked Society and the Institute of Journalism and Communication Studies at the Free University of Berlin. He works within the Department of Politics and Social Sciences, specifically in the Media Effects Research Unit. His primary affiliation is with the "Dynamics of Digital Mobilization" research group and the DIFFCONT project (Diffusion Dynamics of Conspiracy Theories and Adaptation Strategies in Hybrid Information Spaces), which is part of the NEOVEX research network. His educational background includes a Master's degree in Economics from the Technical University of Dresden, where he subsequently worked as a research associate in the junior research group "Knowledge and Technology Transfer." Dr. Bühling's research focuses on political communication in digital publics , with particular attention to transnational communication processes and networking dynamics of anti-democratic and conspiracy-theoretical groups in the digital space. His methodological expertise includes network analysis and machine learning for quantitative research. His work examines how platform affordances shape digital counterpublics, the diffusion of conspiracy theories across information ecosystems, and methodological challenges of studying ephemeral digital communication like message deletion on platforms such as Telegram. His publication record demonstrates consistent contributions to top journals in media studies, communication, and computational social science, with a recent focus on conspiracy theories, digital mobilization, and methodological innovations for analyzing digital public spheres. The research shows a clear progression from studying academic incentives in economics to increasingly sophisticated analyses of conspiracy-related communication patterns across digital platforms. Dr. Bühling collaborates extensively with colleagues including Annett Heft, Xixuan Zhang, and others within the Weizenbaum Institute and Freie Universität Berlin. His work contributes to understanding the complex dynamics of digital public spheres and the challenges they pose to democratic discourse, particularly in the context of conspiracy theories and anti-democratic movements. His research has practical implications for platform governance, media literacy initiatives, and understanding how digital spaces facilitate or hinder democratic communication processes, particularly in the context of conspiracy theories and anti-democratic movements.