Find Academic Supervisors

Justin LipmanView profile

Professor

• Cybersecurity
• Internet of Things (IoT)
• Wireless Communications
• +6 more

Justin Lipman is a Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS). He serves as Director of the Cyber Digital Centre and previously led the RF and Communications Technologies Lab. With over 12 years of industry experience at Intel and Alcatel, his expertise spans cybersecurity, IoT, 5G/O-RAN, digital agriculture, and smart cities. Lipman holds a PhD in Telecommunications Engineering from the University of Wollongong. Research & Funding Secured $35M+ in research grants, including projects like UTS Vault ($8M) and the Nokia 5G Futures Lab. Focus areas: Cybersecurity, IoT infrastructure, wireless communications, and smart agriculture. 24 U.S. patents granted, including innovations in IoT security and metamaterials. Education PhD in Telecommunications Engineering (University of Wollongong, 2004) Industry experience: Chief Architect at Intel (2006–2016), Program Manager at Alcatel-Lucent (2005). Awards & Recognition IEEE Senior Member (2012) Leadership roles: Deputy Chief Scientist (Food Agility CRC), Board Director (Internet of Things Alliance Australia). Teaching & Labs Supervises HDR/PhD students in areas like SDN and IoT. Labs: RF and Communications Lab, BlueSky initiative.

• Remote Sensing
• Sensors
• Soil Carbon Sequestration
• +7 more

Dr. Titia Mulder is an Associate Professor in Digital Soil Science at the Soil Geography and Landscape group, Wageningen University, The Netherlands. She specializes in spatial and temporal modeling of soil-landscape systems and soil sensing techniques for monitoring soil functions. Her work focuses on large-extent soil dynamics, ecosystem health, and sustainable land use practices. She chairs the IUSS Pedometrics Commission (2018–2022) and serves as an associate editor for European Journal of Soil Science and Frontiers in Soil Science . Her research integrates remote sensing, spatial statistics, and spectroscopy to address environmental challenges like climate change and biodiversity loss. She leads European and national projects on soil mapping and soil health monitoring. Key areas of expertise include soil-landscape relationships, sensor-based soil monitoring, and machine learning applications in environmental data analysis. Mulder teaches courses on spatial analysis for earth sciences ( GRS33306 ), environmental data collection ( YWU30806 ), and soil inventory techniques ( SGL30306 ). She supervises MSc internships and thesis projects in soil geography and landscape studies through modules like SGL70224 , SGL79224 , and SGL80436 . Her work emphasizes societal impact through sustainable practices, providing actionable insights for policy makers and stakeholders to combat environmental crises and ensure food security. She collaborates internationally on projects promoting soil carbon sequestration and ecosystem resilience.

Michael ThielView profile

Researcher

• Remote Sensing
• Climate Change
• Agricultural Land Use
• +4 more

Dr. Michael Thiel is a Senior Scientist at the Chair of Remote Sensing at Julius-Maximilians-Universität Würzburg, affiliated with the Philosophische Fakultät and the Department of Remote Sensing within the Institute of Geography and Geology. His academic career includes leadership roles in projects like WASCAL, TelePAtH, and AgriSens DEMMIN 4.0, focusing on climate change impacts in West Africa, remote sensing applications for agriculture, and urban development analysis. He holds a PhD in Remote Sensing from the University of Trier (2013), specializing in SAR data texture analysis for urban area characterization. His research integrates satellite data with geospatial tools to study land use dynamics, climate adaptation strategies, and environmental conservation across Africa and Central Asia. Key research areas include: Climate change impacts on agriculture and urban systems Remote sensing of land cover/land use changes Satellite-based monitoring of soil sealing and impervious surfaces GIS applications for sustainable resource management Decision support systems for climate-resilient agriculture His 2025 publications highlight advancements in spatial decision support systems for West African agriculture, climate adaptation strategies in urban areas, and the use of Earth observations to assess maize cropping systems' vulnerability to climate variability. Recent work also addresses rural industrialization effects on migration patterns and biodiversity conservation. Dr. Thiel is affiliated with organizations like the African Studies Association Germany and serves on the advisory board of the AWARD - One Planet Fellowship. He contributes to international collaborations such as the Climate Change and Land Use Graduate School at Kwame Nkrumah University of Science and Technology (Ghana). His research outputs include over 50 peer-reviewed articles since 2007, focusing on remote sensing techniques for environmental monitoring, urban dynamics analysis, and agricultural sustainability in developing regions.

Wlodek KuleszaView profile

Professor

• Systems Engineering
• Measurement and Instrumentation
• Sensor Networks
• +3 more

Wlodek Kulesza is a Senior Professor in the Department of Mathematics and Natural Sciences at the Blekinge Institute of Technology in Karlskrona, Sweden. He has held academic positions since 2001, including a Professorship in Multi-sensor Systems since 2007. Research: Multisensory systems for health and security applications Teaching: Research Methodology, Philosophy of Science, and Sensors Signals and Systems Expertise: Systems engineering, sensor fusion, IoT, and measurement data handling Research Focus : His work in systems engineering emphasizes multisensor integration for applications spanning healthcare, security, wind energy safety, and subsea cable monitoring. He has pioneered approaches to stereovision calibration, localization algorithms, and real-time safety systems. Awards : Andy Chi Best Paper Award (2009, IEEE Transactions in Measurement and Instrumentation) Collaborations : Visiting Professor at Chinese and Polish universities, with extensive cross-border educational workshops and remote lab federations (e.g., PILAR/VISIR projects).

• Physical Geography
• Soil Geography
• Geoecology
• +5 more

Robert Peticzka serves as Assistant Professor in the Department of Geography and Regional Research at the University of Vienna, where he also directs geography studies. His research integrates physical geography, soil science, and geoecology with specialized focus on loess regions of Lower Austria. His primary research domains include: Loess-paleosol stratigraphy and quaternary landscape evolution Soil hydrology and microdialysis techniques in dry soils Geoarchaeological investigations of anthropogenic landforms Peatland carbon cycling and root exudate dynamics Environmental monitoring in urban and agricultural settings Recent publications reveal methodological innovation in soil solution analysis and paleoenvironmental reconstruction, with strong emphasis on interdisciplinary approaches combining geological, archaeological, and hydrological perspectives. His work frequently examines human-environment interactions in Central European landscapes. Professor Peticzka supervises bachelor and master students through dedicated preparatory seminars while teaching core courses in soil geography, geoecology, and field methods. He maintains active affiliation with the Physiogeographical Laboratory (http://www.univie.ac.at/physiogeographisches_labor/), conducting field research in the Vienna Basin and Lower Austrian loess regions.

Visa KoivunenView profile

Professor

• Statistical Signal Processing
• Wireless Communications
• Multisensor Systems
• +4 more

Visa Koivunen is a Distinguished Professor of Signal Processing at Aalto University (since 1999), with positions as Academy Professor (2010) and Aalto Distinguished Professor (2020). He holds an honorary D.Sc. (Tech.) from the University of Oulu and has held visiting roles at Princeton University, the University of Pennsylvania, and EPFL. His research focuses on statistical signal processing, wireless communications, radar systems, and integrated sensing and communications (ISAC). He has published over 490 papers, including award-winning works, and advised 31 doctoral theses. Key roles include leadership in conferences (e.g., Asilomar 2018 General Chair) and technical committees (IEEE SPS). Recognitions include the EURASIP Technical Achievement Award (2015), IEEE Signal Processing Society Best Paper Awards (2007, 2017), and EURASIP Fellow status (2020). He co-chairs NATO panels on cognitive radars and ISAC. His research interests span signal processing fundamentals and applications in radar, communications, and machine learning. Recent work emphasizes ISAC, reinforcement learning for resource allocation, and causal inference in federated systems. He has pioneered waveform design techniques using GANs and Bayesian methods for spatial signal analysis. Educations: D.Sc. (Tech.) with honors from the University of Oulu (1994), Primus Doctor Award (1989-1994). Awards: IEEE Fellow, EURASIP Fellow, Member of Academia Europaea. Service: Associate Editor for IEEE Transactions, Chair of IEEE SPAWC and Asilomar conferences. His work bridges theory and practice, addressing challenges in radar-communication coexistence, energy-efficient edge computing, and secure distributed inference. He has delivered over 50 invited talks globally and actively contributes to NATO initiatives on cognitive radar systems.

Gloria MarkView profile

Professor

• Human-Computer Interaction (HCI)
• Multitasking
• Digital Media Use
• +5 more

Gloria Mark is a Chancellor's Professor in the Department of Informatics at the University of California, Irvine. Her research focuses on human-computer interaction (HCI), examining how technology impacts multitasking, attention, mood, and stress in daily life. She employs real-world, sensor-based studies to analyze digital media use and its effects on productivity and well-being. Her work spans domains like workplace efficiency, social media dynamics, and crisis response through technology. Mark's research emphasizes collaborative resilience in disrupted environments, such as natural disasters or conflicts, studying how Web 2.0 tools aid recovery. She has pioneered studies on interruption costs, demonstrating that while tasks are completed faster when interrupted, stress levels rise. Her findings have influenced policies on remote work and digital detox practices. Education: Ph.D. (assumed from title). Awards: SIGCHI Best Paper Award (2014), multiple Honorable Mentions for Best Paper in ACM conferences. Advising: Supervised 13 Ph.D. students and researchers, including Yiran Wang and Bryan Semaan. Mark has authored a popular book, Attention Span , and frequently engages with media to discuss digital distraction and productivity. Her lab's Tesserae Project conducts large-scale studies on information workers using multimodal sensing.

Claas NendelView profile

Professor

• Agroecosystem Modelling
• Climate Change Impact Assessment
• Crop Simulation
• +3 more

Prof. Claas Nendel is a Professor at the Leibniz Centre for Agricultural Landscape Research (ZALF), leading the Ecosystem Modelling and Landscape Modelling groups within Research Area 4 'Simulation and Data Science'. His work focuses on agroecosystem dynamics, climate change impacts, and crop modelling integration with remote sensing data. Research interests include: Simulation of crop-water-nutrient interactions Climate adaptation strategies for European agriculture Remote sensing applications in agricultural monitoring He has pioneered the MONICA model for agroecosystem simulation and contributed to AgMIP global crop modelling initiatives. Recent studies emphasize soybean and wheat system resilience under climate change, irrigation mapping via satellite fusion, and drought risk assessments. Awards include his role as Past ESA President (European Society for Agronomy). Key projects involve: Intercropping systems optimization Grassland mowing detection via Sentinel time series Soil organic matter dynamics under no-till practices His work bridges field experimentation with large-scale modelling to address agricultural sustainability challenges.

Yuri RzhanovView profile

Research Professor

• 3D Modeling
• Visualization
• Artificial Intelligence
• +7 more

Yuri Rzhanov is a Research Professor at the Center for Coastal and Ocean Mapping at the University of New Hampshire , where he focuses on numerical modeling and image processing for marine applications. His work bridges semiconductor physics foundations with modern underwater 3D scene reconstruction and habitat classification. Education : Ph.D. in Semiconductor Physics, Academy of Science of Russia M.S. in Semiconductor Physics, Novosibirsk State University Research Interests center on 3D modeling/visualization , underwater image processing , refractive effect compensation , and benthic habitat classification using conventional/multispectral imagery. His career evolved from semiconductor quantum effects to solid-state nonlinear phenomena, then to marine signal/image processing. Key Collaborators : Co-investigators: Larry Mayer, Brian Calder, Jennifer Dijkstra, May-Win Thein Co-authors: John Hughes Clarke, Kim Lowell, Thomas Butkiewicz Grants include projects funded by the US Geological Survey , NOAA , and US Navy (2004–2024) related to seafloor mosaicing, unmanned underwater vehicle coordination, and marine acoustic/image data processing.

DAVID LOPEZ VILARIÑOView profile

Professor

• Computer Architecture
• Computer Vision
• FPGA Acceleration
• +3 more

David Lopez Vilariño is a **Professor** at the **University of Santiago de Compostela**, affiliated with the **Department of Electronics and Computing** within the **Faculty of Physics**. He earned his PhD in 2001 with a thesis titled *"Active contours at the pixel level: design and implementation on cellular network architectures,"* advised by Dr. Diego Cabello Ferrer. His research focuses on **Computer Architecture**, **FPGA Acceleration**, **LiDAR Data Analysis**, and **Embedded Systems**, with notable contributions to LiDAR-based applications in urban planning, infrastructure monitoring, and medical imaging. He is part of the **ARQCOMP (Computer Architecture)** and **Artificial Vision** research groups. His work spans topics such as high-performance computing, parallel processing, and hardware optimization for vision-capable systems. Key projects include developing FPGA-based solutions for real-time video surveillance, retinal vessel analysis, and autonomous navigation systems. Publications emphasize **LiDAR data processing**, including algorithms for road detection, power line characterization, and 3D point cloud analysis. He also pioneered tools like the *Open Lidar Visualizer and Analyser* for 3D stereoscopic visualization. His expertise bridges hardware design and software development, particularly in leveraging FPGAs for embedded vision systems. No scientific awards or grants are explicitly listed, but his prolific publication record highlights sustained innovation in computer vision and geospatial technologies. His research team collaborates on projects involving manycore systems, GPU acceleration, and reconfigurable computing architectures.

Yu LiangView profile

Lecturer

• Computer Vision
• Machine Learning
• Image Processing
• +4 more

Dr. Yu Liang is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on advancing computer vision and machine learning techniques, particularly in video generation, image restoration, and event-based systems. He specializes in developing innovative frameworks for tasks like motion-aware video synthesis, low-light image enhancement, and diffusion models applied to multimedia processing. Key research interests include hierarchical information flow architectures, transformer-based networks, and scalable solutions for real-world imaging challenges. His work emphasizes practical applications of generative models and cross-modal fusion techniques to achieve high-quality visual outputs. Dr. Liang has contributed extensively to the field through publications on topics such as Fractal-IR for image restoration, Uni3C for 3D-enhanced video generation, and event-based frame interpolation. His research often bridges theoretical advancements with practical implementations, addressing issues like temporal coherence, motion deblurring, and adaptive illumination estimation. Although no specific academic awards are listed, his prolific publication record (over 20+ papers since 2019) highlights his active role in the academic community. His work has led to impactful datasets like Lsdir and frameworks like SwinIR, demonstrating strong contributions to both methodology and infrastructure in computer vision.

Siva SivoththamanView profile

Professor

• Solar Photovoltaic Technologies
• Microelectronic Fabrication
• Nanotechnology
• +6 more

Professor Siva Sivoththaman is a Full Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, serving as Director of the Centre for Advanced Photovoltaic and Display Systems (CAPDS) and Associate Dean of Graduate Studies & Postdoctoral Affairs. He holds a PhD from the University of Paris XII (1993) and previously worked as a Research Scientist at IMEC (Belgium). His research focuses on photovoltaic technologies, nanotechnology, quantum dots, and energy systems. He has led prestigious chairs, including the NSERC Industrial Research Chair in RF-MEMS (2002-2006) and Ontario Research Chair in Renewable Energy (2010-2015). Education: Doctorate in Engineering Sciences, University of Paris XII (1993) Master's in Energy Technology, Asian Institute of Technology (1989) Bachelor's in Electrical & Electronics Engineering, Madurai Kamaraj University (1987) Research Interests: His work spans solar photovoltaics, semiconductor materials, nanostructure synthesis, and smart energy systems. Notable contributions include quantum dot-enabled devices, advanced photodetectors, and thin-film technologies. He also investigates safety aspects of nanomaterials processing. Publications & Awards: Over 100 peer-reviewed publications, including key works on quantum dot functionalization and photovoltaic device design. Recipient of the Ontario Premier's Research Excellence Award (2002). Teaching & Leadership: Teaches courses on semiconductor physics, microfabrication, and photovoltaic energy conversion. Leads CAPDS, advancing renewable energy and display technologies. Active in IEEE Electron Devices Society.

• Wind energy and wildlife interactions
• Bat ecology and behavior
• Offshore wind energy
• +2 more

Cris Hein serves as a Researcher in Environmental Science at the National Renewable Energy Laboratory (NREL), where he leads the environmental portfolio within the National Wind Technology Center. He coordinates the Bats and Wind Energy Cooperative and acts as operating agent for the International Energy Agency Wind Technology Collaborative Program's Task 34. His educational background includes: Bachelor of Science in Geology from Texas A&M University Master of Science in Biology from Texas State University PhD in Forestry and Natural Resources from the University of Georgia For over two decades, Hein has specialized in bat ecology and behavior, with more than ten years focused on wind energy environmental interactions. His research develops evidence-based strategies to minimize wildlife impacts from wind turbines, particularly through advanced monitoring systems and operational mitigation techniques. Current work emphasizes offshore wind environmental effects and bat fatality reduction protocols across North American wind facilities. Analysis of his 2024-2025 publications reveals three dominant research trajectories: 1) Gulf of Mexico offshore wind environmental assessments, 2) marine mammal monitoring during offshore construction, and 3) validation of curtailment as the most effective bat fatality mitigation strategy. His work consistently bridges ecological research with practical wind industry applications, showing particular expertise in translating field data into operational guidelines. As program coordinator for the Bats and Wind Energy Cooperative, Hein manages multi-stakeholder collaborations between government agencies, industry partners, and conservation organizations. His leadership in IEA Task 34 facilitates international knowledge exchange on wind energy environmental effects, directing research funding toward high-impact conservation solutions. Hein's laboratory operations center on NREL's National Wind Technology Center environmental research group, which conducts field studies at operational wind facilities nationwide. The team specializes in developing monitoring technologies and analyzing wildlife-turbine interaction data to inform industry best practices and regulatory frameworks.

Hametner, BernhardView profile

Lecturer

• Biomedical Engineering
• Arterial Pressure Modeling
• Cardiovascular Physiology
• +3 more

Prof. Dr.techn. Bernhard Hametner is a Lecturer at the Institute of Biomedical Engineering (E363) within Technische Universität Wien (TU Wien) . His research focuses on arterial pressure dynamics, cardiovascular physiology, and biomedical signal analysis with applications in clinical diagnostics and space medicine. He leads projects involving wearable medical devices, multisensor monitoring systems, and computational models of vascular systems. Key affiliations: TU Wien's Network Lab and collaborative EU projects like VascAgeNet Expertise in pulse wave analysis, vascular aging, and translational biomedical engineering Research Interests: His work spans arterial stiffness quantification, non-invasive cardiac output estimation, and developing methods to detect early cardiovascular dysfunction through waveform analysis. He has pioneered approaches using difference equations for modeling arterial wave reflections and contributed to understanding microgravity's impact on cardiovascular systems. Publications Highlight Trends: Recent work emphasizes clinical applications of wearable devices (2023), AI-driven medical recommendation systems (2022), and space physiology studies (2020-2022). Earlier research focused on computational modeling of vascular dynamics and validation of novel diagnostic methods. Advising & Education: Supervised 8 thesis students (2016-2021) in topics like biomedical signal analysis, machine learning in healthcare, and cardiovascular modeling. Active in training the next generation of biomedical engineers through TU Wien's graduate programs. Labs/Teams: Part of TU Wien's Network Lab, collaborating with international teams on projects like the EU's VascAgeNet initiative. Engaged in multidisciplinary teams combining engineering, medicine, and data science.

• Antimicrobial Resistance (AMR)
• One Health
• Sensor Technology
• +7 more

Tina Kabelitz is a Researcher at the Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB) , leading the working group Infections and AMR in Farm Animals since September 2021. Her work integrates sensor technology, digitalization, and artificial intelligence to address antimicrobial resistance (AMR) in livestock systems through a One Health approach. Education : PhD in Epigenetics of Plants (University of Potsdam, 2011-2015) MSc Molecular and Cellular Biology (University of Potsdam, 2009-2011) BSc Molecular Biology/Physiology (University of Potsdam, 2006-2009) Her research focuses on antimicrobial resistance dynamics in livestock, particularly through environmental pathways in pig and poultry farming. She investigates resilient housing design for biosecurity and animal welfare, microbiome changes in manure storage , and machine learning-based mastitis risk assessment using multisensor systems. Her projects include LeibnizLabPP (pandemic preparedness), AirBarn (bioaerosol AMR transmission), ENVIRE (AMR control in chicken systems), and AMR-PIG (AMR spread mechanisms). Recent publications analyze AMR gene dynamics in manure systems (2025), machine learning applications for mastitis prediction (2025), and environmental impacts of dairy farming mitigation strategies (2024). Her work emphasizes systemic solutions like anaerobic digestion plants and slurry injection techniques to reduce emissions.