جست‌وجوی استاد و پژوهشگر

Thomas Wöhlingمشاهده پروفایل

پژوهشگر

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +۹ مورد دیگر

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Xiaonan Luمشاهده پروفایل

استاد

• Food Safety
• Food Microbiology
• Molecular Microbiology
• +۷ مورد دیگر

Xiaonan Lu is a Professor at McGill University's Faculty of Agricultural and Environmental Sciences, holding the Department of Food Science and Agricultural Chemistry. They serve as a Canada Research Chair (Tier 1) in Food Safety, Ian & Jayne Munro Chair in Food Safety, and William Dawson Scholar. Their research spans multiple critical areas within food safety and analytical food science. Dr. Lu's research focuses on developing innovative detection technologies for food safety applications. Their work integrates food microbiology, analytical chemistry, and engineering to address challenges in pathogen detection, food authentication, and contaminant analysis. Key research areas include food safety engineering, food synthetic biology, cellular agriculture, and the development of smart materials for food applications. They employ advanced techniques such as Raman spectroscopy, CRISPR-based detection systems, microfluidics, and machine learning to create rapid, sensitive detection methods. Analysis of Dr. Lu's recent publications reveals a strong emphasis on practical food safety solutions with immediate industry applications. Their work spans multiple food safety challenges including pathogen detection (particularly Campylobacter), mycotoxin analysis, food authentication, and novel antimicrobial approaches. The research demonstrates a clear progression toward more sensitive, rapid, and field-deployable detection technologies, with increasing integration of machine learning and advanced materials science. Scientific awards: Canada Research Chair (Tier 1) in Food Safety William Dawson Scholar Ian & Jayne Munro Chair in Food Safety Dr. Lu leads a research group focused on food safety engineering and detection technologies. Their work has significant implications for food industry practices, regulatory frameworks, and consumer protection. Current research directions include the development of next-generation antimicrobial resistance surveillance systems, smart traceability solutions, and advanced detection platforms for foodborne hazards. Their laboratory utilizes cutting-edge instrumentation for molecular analysis, microfluidics development, and food microbiology studies.

Alan McAlpineمشاهده پروفایل

استاد

• Aeroacoustics
• Aircraft engine noise
• Aircraft engine installation acoustics
• +۳ مورد دیگر

Professor Alan McAlpine is a Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR), where he serves as the director of graduate school for engineering and physical sciences since 2020. He is a key member of the Rolls-Royce University Technology Centre in Propulsion Systems Noise and teaches Acoustics on the ISVR's Acoustical Engineering undergraduate and masters programmes, the only UK acoustics degree accredited by both the Institute of Mechanical Engineers and the Institute of Acoustics. His educational background includes: First-class honours in Mathematics from the University of Southampton (1993) PhD in Mathematics from the University of Bristol (1997) Professor McAlpine's research focuses on theoretical prediction methods for aircraft engine noise sources. His work primarily employs analytical and semi-analytical approaches to assess how design parameters affect noise levels. His key research areas include aeroacoustics, duct acoustics, nonlinear acoustics, aircraft engine installation acoustics, and hydrodynamic stability. His research has practical applications in reducing aircraft noise, particularly during critical phases like take-off. His recent publications reveal a concentrated research trajectory in duct acoustics and aircraft noise prediction, with particular emphasis on fan tone radiation mechanisms, sound propagation through engine ducts, and innovative acoustic liner development for noise reduction. His theoretical frameworks address critical challenges in modern aircraft design, especially regarding spectral broadening of turbine-tones and sound refraction effects caused by fuselage boundary layers. Professor McAlpine maintains significant external engagement: Council of European Aerospace Societies - Aeroacoustics Specialists Committee (2014-present) Institute of Acoustics Research Coordination Committee (2011-2020) Coordinator of the UK X-Noise Network in Aeroacoustics (2009-2015) As director of graduate school, Professor McAlpine supervises PhD students including Liam James Tope working on computational modeling. He has secured substantial research funding from EPSRC and the European Union for projects including 'High Frequency Sound Transmission in Flow Ducts,' 'X-Noise EV Project,' 'H2020 - ARTEM,' 'A McAlpine - Spectral Broadening in Aeroacoustics,' and several other EU-funded initiatives focused on aircraft noise reduction. Professor McAlpine works within the Rolls-Royce sponsored Propulsion Systems Noise group at the ISVR, collaborating with researchers like Dr. David Angland and Dr. Paul Murray. His theoretical work complements the institute's experimental capabilities, contributing to the development of quieter aircraft engine technologies through fundamental understanding of noise generation and propagation mechanisms.

Anna Ericksonمشاهده پروفایل

استاد

• Nuclear Nonproliferation
• Nuclear Security
• Radiation Detection
• +۳ مورد دیگر

Anna Erickson serves as Woodruff Professor and Associate Chair for Research at Georgia Institute of Technology's George W. Woodruff School of Mechanical Engineering, where she bridges reactor engineering and nuclear nonproliferation through integrated theoretical and experimental approaches. Director of the $25M DOE NNSA-funded Consortium for Enabling Technologies and Innovation (12 universities, 12 national labs), she has authored over 100 publications including the seminal text Active Interrogation in Nuclear Security (Springer, 2018) and advises federal agencies on nuclear security policy. Education: Ph.D. in Nuclear Science and Engineering, Massachusetts Institute of Technology (2011) M.S. in Nuclear Science and Engineering, Massachusetts Institute of Technology (2008) B.S., Oregon State University (2006) Research Focus: Dr. Erickson pioneers nonproliferation-by-design methodologies through two integrated thrusts: advanced reactor analysis for proliferation-resistant nuclear energy systems and radiation detection for border security applications. Her work uniquely combines machine learning with nuclear engineering to develop safeguards for next-generation reactors, with significant contributions to antineutrino detection systems and medical physics applications like proton radiography. Current projects emphasize small modular reactor safety and spectral imaging techniques. Publication Trends: Analysis of her 15 most recent publications (2018-2020) reveals dominant themes in antineutrino-based reactor monitoring (60% of works), advanced radiation detection systems (30%), and small modular reactor design (10%). Key innovations include lithium-loaded scintillators for neutron detection, spectral X-ray correction algorithms, and high-temperature reactor concepts with inherent proliferation resistance, demonstrating consistent DOE funding focus on nuclear security infrastructure. Awards: Woodruff Professorship (2019) Lockheed Dean's Excellence in Teaching Award (2016) US Frontiers of Engineering Symposium (National Academy of Engineering, 2015) American Nuclear Society Graduate Scholarships (2006, 2009) Stewardship Science Graduate Fellowship (DOE, 2008-2011) Leadership & Funding: As director of the $25M Consortium for Enabling Technologies and Innovation, she manages cross-institutional R&D in machine learning, advanced manufacturing, and nuclear detection. Her Laboratory for Advanced Nuclear Nonproliferation and Safety (LANNS) coordinates with Aerospace Engineering, Chemistry, and International Affairs departments on nonproliferation projects, while her ELATES leadership program participation (2022) enhances STEM management capabilities. Recent media engagements with CBS News (nuclear fusion breakthrough) and CNN (radiation safety) demonstrate policy impact. Research Infrastructure: The multidisciplinary LANNS lab develops experimental detection systems alongside reactor modeling tools, supporting the Consortium's mission to create deployable nuclear security technologies. Collaborations with 12 national laboratories enable access to unique facilities for radiation source characterization and reactor simulation, with current efforts focused on AI-enhanced safeguards for commercial reactor fleets.

Alessandra Scafuroمشاهده پروفایل

دانشیار

• Cryptography
• Blockchain Technologies
• Cyber Security
• +۳ مورد دیگر

Alessandra Scafuro is an Associate Professor in the Department of Computer Science at North Carolina State University. Her research focuses on theoretical and applied cryptography, particularly cryptographic protocols such as zero-knowledge proofs, secure multi-party computation, and blockchain technologies. She bridges foundational theory with practical implementations to solve real-world security challenges. Ph.D., Computer Science, University of Salerno (2013) B.S., Computer Science, Technische Universität Wien (2008) Research interests include: Design of modular and composable cryptographic protocols Privacy-enhancing techniques for blockchain systems Post-quantum secure cryptographic constructions Trust and anonymity in distributed environments Recent publications explore anonymity in blockchain consensus, zero-knowledge arguments from blockchains, and secure computation paradigms. Her work is supported by grants from NSF, Horizen Labs, Protocol Labs, and Cisco Systems. Dr. Scafuro actively mentors students and contributes to program committees such as EUROCRYPT 2024 and ACM CCS 2024 . She leads the Mutually Accountable Anonymous Systems project within the Wolfpack Security and Privacy Research Lab.

Andrew Elliottمشاهده پروفایل

مدرس ارشد

• Statistics
• Data Analytics
• Modeling in Space and Time
• +۸ مورد دیگر

Dr Andrew Elliott is a Senior Lecturer in the School of Statistics at the University of Glasgow. His research bridges Statistics , Computational Statistics , and Machine Learning & AI , with applications in Social & Urban Studies and Imaging, Image Processing & Image Analysis . Education: Not explicitly detailed in the text. Dr Elliott's work focuses on modeling in space and time , synthetic data generation , and network analysis . His recent publications explore fairness constraints in AI , agent swarms , and temporal network modeling , reflecting interdisciplinary applications in urban analytics and environmental science. His publications from 2014–2024 span network science , machine learning , image analysis , and geospatial studies . Key trends include privacy auditing , counterfactual explanations , and deep learning for network time series . Dr Elliott supervises doctoral students and has advised Zhengduo Zhao and Weiyue Zheng . He actively contributes to research groups in Statistics & Data Analytics and Machine Learning . Notable collaborations include work with Mihai Cucuringu and Gesine Reinert .

Noah Tamarkinمشاهده پروفایل

دانشیار

• Sociocultural Anthropology
• Political Anthropology
• Legal Anthropology
• +۱۱ مورد دیگر

Noah Tamarkin is an Associate Professor at Cornell University with joint appointments in Anthropology and Science & Technology Studies, and a Research Associate at Wits Institute for Social and Economic Research (WISER) in Johannesburg, South Africa. His work examines intersections of genetics, race, citizenship, and power through ethnographic studies in South Africa since 2004. PhD in Cultural Anthropology with Feminist Studies notation (UC Santa Cruz) MA in Cultural Anthropology (UC Santa Cruz) BA in Anthropology (Colorado College) Research focuses on genetic data's political and social implications, particularly in postapartheid South Africa. Key projects include analyzing DNA's role in ancestry testing, forensic databases, and trans health practices. He explores how marginalized communities rework genetic knowledge to assert belonging and challenge exclusionary technologies. Recent publications address indigenous DNA in practice, forensic genetics legislation, and bioinformation ethics. His 2020 book Genetic Afterlives won the 2022 Jordan Schnitzer Prize and received a Diana Forsythe Prize honorable mention. Supported by NSF, Wenner Gren, and Howard Foundation fellowships. 2024 George A and Eliza Gardner Howard Foundation Fellowship 2022 Jordan Schnitzer Prize (Association for Jewish Studies) 2022 Diana Forsythe Prize Honorable Mention 2015 AAA General Anthropology Division Prize Teaches courses on race/religion, carceral systems, biology/society, and genetic temporalities. Collaborates with feminist, STS, and African studies frameworks.

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +۳ مورد دیگر

Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.

Heyuan Shiمشاهده پروفایل

دانشیار

• Software Quality Assurance
• Kernel Fuzz Testing
• Operating System Security
• +۳ مورد دیگر

Heyuan Shi is an Associate Professor at the School of Electronic Information, Central South University since 2023. He earned his B.S. (2015) and Ph.D. (2020) from Central South University and Tsinghua University respectively. His research focuses on software quality assurance with emphasis on kernel fuzz testing , open source software security , and AI application security . Presided over 10+ projects including NSFC General Program (No.62472448) and National Key R&D Sub-Project Published 30+ CCF-A/B papers across software security, machine learning, and quantum testing Supervised 15+ graduate students in software quality assurance areas His recent 2024-2025 publications demonstrate expertise in: LLM-enhanced patch classification Quantum neural network verification Hypergraph adversarial attacks RTOS fuzzing techniques Scientific recognition includes: 2024 Beijing Science & Technology Progress Award (First Prize) Hunan Province Xiaohe Sci-Tech Talent (2023) China Association for Science & Technology Young Talent (2025-2027) Active in academic service as PC member for FM2024 and reviewer for IEEE Transactions journals. Leads industry collaborations with Alibaba and Beijing Institute of Aerospace Metrology.

Gerhard Schwabeمشاهده پروفایل

استاد

• Collaborative Technologies
• Information Management
• E-Government
• +۵ مورد دیگر

Gerhard Schwabe is a Professor in the Department of Informatics at the University of Zurich, Faculty of Business, Economics and Informatics. His research spans collaborative technologies, information management, E-government, blockchain applications, and digital health. He leads the Information Management Research Group and contributes to the university's Digital Society Initiative (DSI). Research Focus: Human-AI collaboration, blockchain systems, crisis informatics, persuasive technologies Key Projects: RefuGPT (refugee support chatbots), Scripted Medicine (health worker assistance), PROMISE (AI prompt orchestration) Technical Expertise: Design Science Research, conversational agents, data-driven governance His recent publications emphasize AI integration in collaborative workflows, blockchain applications for data markets, and digital solutions for crisis management. He explores how generative AI impacts freelance development practices and transforms advisory services through automated systems. Contact: schwabe@ifi.uzh.ch

Viet Tung Hoangمشاهده پروفایل

دانشیار

• Cryptography
• Computer Security
• Applied Cryptography
• +۱ مورد دیگر

Viet Tung Hoang is an Associate Professor in the Department of Computer Science at Florida State University , USA. His research focuses on cryptography and computer security, with a particular emphasis on practical implementations and security proofs. Research Interests: He works on bridging theoretical cryptography with real-world applications, including topics like authenticated encryption, format-preserving encryption, and secure systems design. His work often targets cryptographic standards and practical security improvements. Scientific Awards: Best Paper Award - Usenix Security 2022 Best Paper Award - ACM CCS 2015 Best Paper Honorable Mention - EUROCRYPT 2015 Invited to Journal of Cryptology - CRYPTO 2016, CRYPTO 2013 Publications Trends: His recent work (2025-2017) spans major conferences like CCS, CRYPTO, and EUROCRYPT. Topics include tamper-evident logging, authenticated encryption standards, format-preserving encryption analysis, and multi-user security models. Several publications focus on improving real-world cryptographic implementations while maintaining provable security guarantees.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Kathrin Hörschelmannمشاهده پروفایل

استاد

• Cultural Geography
• Political Geography
• Migration and Belonging
• +۶ مورد دیگر

Prof. Dr. Kathrin Hörschelmann is a Professor of Cultural Geography at the University of Bonn. Her research bridges space, politics, culture, and society , with a focus on entangled geographies of (in)security and diversity, migration, and belonging in Europe . She explores how young people navigate geopolitical insecurities, socio-spatial identities, and post-socialist transformations. Affiliations: University of Bonn (Geographical Institute), TRA6 (Transdisciplinary Research Area 6), HERA Project Partner Key Projects: Geo-Medial (digital learning spaces), Public Spaces, Culture and Integration in Europe (HERA), Evaluation of Bonn4Future (climate participation), Re-Collect/Re-Mind (Cold War youth memories) Her research interests span critical security studies , feminist geographies , geographies of childhood/youth , and post-socialist cultural change . Recent work analyzes urban climate governance, refugee youth in public spaces, and digital teaching innovations. She co-edited Research Ethics in Human Geography (Routledge, 2021) and contributes to debates on nature-based urban futures . Notable scientific contributions include the Alexander von Humboldt Fellowship (2024) and co-authored publications like Urban Nature: New Directions for City Futures (2024). She leads the Cultural Geography Working Group , which designs international lecture series and translocal learning formats. Teaching Areas: Cultural geography, migration, gender, urban transformation, and fieldwork (e.g., Translocal England Exkursion ). Collaborations: United Nations University (UNU-EHS), HERA, European Commission (NATURVATION), KONE Foundation

Roberto Tronمشاهده پروفایل

استادیار

• Control Theory
• Robotics
• Computer Vision
• +۴ مورد دیگر

Roberto Tron is an Assistant Professor in the Mechanical Engineering and Systems Engineering departments at the Boston University College of Engineering , with his office located at 110 Cummington Mall. His research integrates control theory, robotics, and computer vision to solve complex multi-agent coordination problems. His primary research interests focus on Riemannian geometry applications , distributed multi-agent systems , and safety-critical control . Key methodologies include Control Barrier Functions (CBFs), Riemannian optimization, and distributed consensus algorithms, with applications spanning autonomous aerial vehicles, robotic manipulation, and multi-robot security systems. Analysis of his recent publications reveals a strong emphasis on safety verification and real-time optimization for autonomous systems. His work consistently bridges theoretical foundations in nonlinear control with practical implementations in robotics, particularly addressing challenges in limited sensor fields of view, distributed task allocation, and noise-robust navigation. The research shows increasing integration of formal methods like Signal Temporal Logic with learning-based approaches. Tron received his Ph.D. from The John Hopkins University and previously conducted post-doctoral research at the GRASP Lab, University of Pennsylvania. His work demonstrates significant contributions to provably safe autonomous systems through frameworks like the Control Barrier Function Toolbox.

Arish Sateesanمشاهده پروفایل

استاد

• Computer Engineering
• Network Security
• Hardware Acceleration
• +۳ مورد دیگر

Dr. Arish Sateesan serves as Professor and Chair of the Institute for Networked Systems at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology, located at Kackertstrasse 9 in Aachen, Germany. His research group operates from House C (Room C046) with direct contact via asa@inets.rwth-aachen.de. His primary research domains center on hardware-accelerated network security solutions, specializing in FPGA implementations for high-speed networking. Key focus areas include: Real-time network monitoring and intrusion detection systems Hardware-optimized cryptographic and non-cryptographic algorithms Machine learning integration for wireless beamforming and LiDAR processing Ultra-high-speed flow measurement architectures His work bridges theoretical computer science with practical hardware constraints, emphasizing throughput optimization for security-critical applications. Analysis of his 15 most recent publications (2021-2025) reveals a pronounced shift toward hardware-software co-design for next-generation networks. The research trajectory shows increasing integration of quantized neural networks with traditional security primitives, particularly for mm-Wave and 5G/6G applications. A consistent theme across all publications is the prioritization of hardware friendliness through algorithmic simplification and architectural innovation. As Institute Chair, he leads a research ecosystem focused on developing deployable security solutions for modern network infrastructures, with current projects targeting autonomous vehicle communication systems and infrastructure protection against distributed denial-of-service attacks.