Find Academic Supervisors

• Environmental Surveillance Monitoring
• Ecological Data Standardization
• Remote Sensing
• +7 more

Associate Professor Ben Sparrow is affiliated with the University of Adelaide's School of Biological Sciences within the Faculty of Sciences, Engineering and Technology. He leads the TERN Ecosystem Surveillance program, focusing on environmental monitoring methodologies and data standardization. His work emphasizes integrating remote sensing technologies with ecological data to improve biodiversity tracking and policy development. Ben has extensive experience in grant-funded research, including leadership roles in TERN's AusPlots and Eco-informatics initiatives, and has contributed to projects like the Global Drylands Assessment with the UN FAO. He collaborates with stakeholders to address socio-ecological challenges in environmental management and has advised Honours students on topics related to natural resource management and ecological data analysis. Research Interests : Ben's research centers on environmental surveillance, ecological monitoring standardization, remote sensing applications, citizen science integration, and understanding climate change impacts on Australian flora. He advocates for adaptable protocols that balance national data consistency with regional autonomy, ensuring ecological data supports both science and policy. His work includes developing open-access datasets (e.g., deadtrees.earth) and advancing tools like the ausplotsR package for vegetation analysis. Grants & Funding : Recent grants include $2.1M from NCRIS/TERN (2018), a $484,770 Citizen Science Grant for the Wild Orchid Watch project, and UN FAO funding ($20,000 USD) for global drylands research. He has also secured funding for LiDAR and photogrammetry initiatives, vegetation mapping projects, and cross-disciplinary research efforts. Professional Activities : Ben actively participates in committees such as the Enabling ecosystem surveillance working group (Ecosystem Science Council) and the Drylands Working Group (UN FAO). He co-chaired the 15th Australasian Remote Sensing and Photogrammetry Conference and contributes to global initiatives like the sPlot dataset project. His work bridges ecological science with practical policy applications, emphasizing reflexivity and communication in socio-ecological systems. Labs/Teams : Ben is part of the Terrestrial Ecosystem Research Network (TERN) team at the University of Adelaide's Waite campus, leading the Ecosystem Surveillance unit. He collaborates with the AusPlots Rangelands program and the Eco-informatics group to develop continental-scale ecological monitoring infrastructure.

Riccardo SimionatoView profile

Research Fellow

• Deep Learning
• Audio Modeling
• Sound Synthesis
• +3 more

Riccardo Simionato is a Research Fellow in the Department of Musicology at the University of Oslo (UiO), affiliated with the Faculty of Humanities. He holds a MSc and BSc in Computer Science and Information Engineering from the University of Padova, Italy, and conducted research at Aalto University, Finland (2017–2018). His research focuses on nonlinear audio modeling using deep learning, particularly addressing low-latency interactive solutions for acoustic and electronic musical instruments/devices. Education: 2018: MSc in Computer Science Engineering, University of Padova 2015: BSc in Information Engineering, University of Padova Research Interests: Deep Learning , Audio Modeling , and Sound Synthesis . He explores how deep learning can approximate complex nonlinear phenomena in audio systems, balancing computational efficiency with interpretability. Recent work emphasizes hybrid neural-audio effects, time-variant systems, and physics-informed methods for piano modeling. Publications highlight advancements in optical compressor modeling, piano analysis, and tools for generating audio effect datasets. His work bridges machine learning and music technology, aiming for practical applications in real-time audio processing and electronic instrument emulation. Grants and advising: No specific grants or student advisees listed in the provided text. Collaborations include projects with Prof. Stefano Fasciani and teams at UiO’s Department of Musicology. Labs/Teams: Active within UiO’s Sound and Music Computing research group, focusing on interdisciplinary projects combining computer science and music technology.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +3 more

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

• Distributed Computing
• Distributed Algorithms
• Fault-Tolerance
• +8 more

Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.

Josh ReissView profile

Professor

• Audio Engineering
• Signal Processing
• Music Production
• +4 more

Josh Reiss is a Professor of Audio Engineering at Queen Mary University of London (QMUL), part of the School of Electronic Engineering and Computer Science . He holds additional roles including President-Elect and Fellow of the Audio Engineering Society (AES), and Visiting Professor at Birmingham City University. His research focuses on audio signal processing, procedural audio, and intelligent music production. He earned degrees including BSc in Physics, BSc in Mathematics, and a PhD. Research & Awards : Reiss has published over 200 papers, authored books like Intelligent Music Production , and received awards such as the AES Board of Governors Award (2009, 2010) and Best JAES Paper 2016. His work spans sound synthesis, dynamic range compression, and live audio systems. Teaching & Industry : Teaches modules like Artificial Intelligence and Sound Design. Co-founded startups LandR (AI mixing), Tonz, and Nemisindo. Leads the Centre for Digital Music at QMUL, advancing research in audio technology. Labs & Teams : Active in the Centre for Digital Music, collaborating on projects like the Open Multitrack Testbed and semantic audio evaluation tools.

• Distributed Systems
• Cloud Computing
• Fault Tolerance
• +3 more

Rodrigo Miragaia Rodrigues is a full professor at the Instituto Superior Técnico (ULisboa) and a researcher at INESC-ID since 2015. He previously held roles as an associate professor at Universidade Nova de Lisboa, tenure-track faculty at MPI-SWS, and completed his PhD at MIT in 2005 under Barbara Liskov. Education: PhD in Computer Science, MIT, 2005 Research Interests: Focuses on distributed systems, fault-tolerant computing, cloud infrastructure, and consistency models. His work bridges theoretical foundations and practical implementations, addressing challenges in geo-replication, secure analytics, and resource allocation in serverless environments. He emphasizes scalable systems and resilient data management. Awards: Best Paper Award at SOSP ERC Starting Grant Google Faculty Research Award Advising & Grants: Has advised 7 PhD students as main advisor, with graduates in top institutions like Purdue, TU Munich, and USTC. Secured funding from the European Research Council (ERC) and Google, focusing on projects like DependableCloud (ERC Grant 307732). Labs & Teams: Leads research at INESC-ID and previously directed the Dependable Systems Group at MPI-SWS. Active in academic leadership roles, including President of the Scientific Council at IST.

• Distributed Systems
• Computer Networks
• Middleware
• +13 more

Antonio Corradi is a Full Professor of Computer Networks and Infrastructures supporting Cloud and Big Data at the University of Bologna's School of Engineering, within the Department of Computer Science - Science and Engineering. His roles include President of the regional CLUSTER RER for service innovation, President of the Alma Mater FAM Foundation, and Director of the UNIBO High Studies Center in Buenos Aires. He previously served as Director of the DISI department (2018–2021) and International Delegate for Latin America (2014–2018). His research focuses on distributed systems, middleware for pervasive computing, cloud solutions, mobile systems, smart cities, Industry 4.0/5.0, and 5G communication standards. Education: Laurea cum laude in Electrical Engineering (University of Bologna, 1979) and a Master's in Computer Engineering from Cornell University (1981, supported by a Fulbright-Hayes grant). He joined the University of Bologna as a Researcher in 1983 and became Full Professor in 2000. Research interests span distributed/parallel systems, middleware for mobile agent systems, cloud computing, smart city monitoring, and Industry 4.0 protocols. He emphasizes QoS-aware solutions, edge computing, and IoT integration. His work includes designing frameworks for big geospatial data and novel architectures for serverless and fog computing environments. Selected scientific awards include the 1980 'Cavalieri del Lavoro' prize for his thesis. He actively contributes to institutional duties, including the CCIB (Computer Services Centre of the Engineering School) and CINI Bologna University Section (Italian Interuniversity Consortium). In advising and grants: He coordinates PhD programs and has led projects funded by MIUR, CNR, and European initiatives. Notable collaborations include industry grants with Jakala, OTConsulting, ENAV-Sicta, and the Zefiro Consortium. His projects address challenges in energy efficiency, smart manufacturing, and healthcare management during crises. Labs/Teams: Developed platforms like SOMA and REDMAN middleware. Involved in initiatives such as ParticipAct (mobile crowdsensing), COLOMBO (vehicular traffic monitoring), and the Audit4Cloud platform for cloud performance auditing.

Guoqing LuView profile

Professor

• Bioinformatics
• Genomics
• Viral Evolution
• +5 more

Guoqing Lu is an Isaacson Professor of Bioinformatics and Genomics at the University of Nebraska at Omaha (UNO), affiliated with the Department of Biology and School of Interdisciplinary Informatics. He holds a Ph.D. in Biology from Laval University, with additional master's degrees in Biology and Computer Science, and completed postdoctoral research at McGill University. His research focuses on computational methods for genomic data analysis, viral evolution, and applications in aquaculture and conservation biology. Dr. Lu has directed the Bioinformatics Research Core Facility at UNL and received major grants from NIH, NSF, and USDA. Awards include UNO’s Excellence in Research Award and Distinguished Research Award. He teaches courses such as Bioinformatics Algorithms and Comparative Genomics, and chairs committees including Bioinformatics UPC and Biology GPC. His lab explores topics like fish microbiomes, pathogen-host interactions, and CRISPR applications in aquaculture. Education: Ph.D. Biology (Laval University), M.Sc. Biology & Computer Science, Postdoc (McGill University). Research Interests: Bioinformatics tools development, genomic data mining, viral evolution modeling, fish pigmentation genetics, and eDNA-based ecological monitoring. His work bridges computational methods with biological problems like invasive species control and disease dynamics. Grants & Awards: Multi-million grants from NIH/NSF/USDA; awards for research excellence in UNO’s College of Arts & Sciences. Serves on editorial boards and reviews for agencies like NSF-China and UK MRC. Advising & Service: Advisor to students, leader in curriculum development for BIOT programs. Consults on sustainability and bioinformatics initiatives. Labs & Teams: Directs Dr. Lu’s Lab, focusing on bioinformatics applications in ecology, aquaculture, and conservation genetics. Collaborates with institutions globally on genomic projects.

Peter DruschelView profile

Professor

• Distributed Systems
• Operating Systems
• Peer-to-Peer Systems
• +7 more

Peter Druschel is the founding director of the Max Planck Institute for Software Systems (MPI-SWS) and leads the Distributed Systems Group. He holds adjunct professorships at Saarland University and the University of Maryland, reflecting his strong academic affiliations in computer science. He has previously served as a Professor of Computer Science at Rice University and has held visiting positions at MIT, Microsoft Research Cambridge, and LIP6. Education: Ph.D. in Computer Science, University of Arizona, 1994 His research centers on building secure, compliant, and privacy-preserving distributed and mobile systems. Key interests include accountable systems, peer-to-peer networks, operating systems, and network security. He has led foundational work in systems like Pastry, Scribe, and Glacier, and currently focuses on privacy compliance in data processing through projects like Thoth and iPic. His work is supported by major grants from the ERC, Max Planck Society, DFG, BMBF, and Google. The recent publications highlight a consistent trend in secure and privacy-aware systems, with a focus on policy enforcement, isolation mechanisms, anonymity, and mobile security. These works span top venues such as USENIX Security, OSDI, MobiSys, and SIGCOMM, reflecting sustained impact in systems and security communities. Scientific Awards: NSF CAREER Award (1995) Alfred P. Sloan Fellowship (2000) SIGOPS Mark Weiser Award (2008) Microsoft Research Outstanding Collaborator Award (2016) EuroSys Lifetime Achievement Award (2017) Druschel has advised numerous PhD and master’s students and postdoctoral researchers at MPI-SWS. He has co-directed major collaborative programs including the Cornell-Maryland-Max Planck Pre-doctoral School and the Maryland Max Planck Ph.D. Program. His leadership extends to professional service, having chaired SOSP, OSDI, NSDI, and EuroSys, and served on editorial boards of CACM, TOCS, and Royal Society Open Science. He is a member of Academia Europaea and the German Academy of Sciences Leopoldina. Labs and Teams: Distributed Systems Group, MPI-SWS imPACT ERC Synergy Project Collaborators include Bobby Bhattacharjee, Deepak Garg, Miguel Castro, Ion Stoica, and others

Matthew PageView profile

Associate Professor

• Systematic Review Methods
• Evidence Synthesis
• Health Research Transparency
• +4 more

Matthew Page is an Associate Professor and NHMRC Emerging Leadership Investigator Fellow at Monash University's School of Public Health and Preventive Medicine, leading research on methods for evidence synthesis. He holds roles such as Deputy Head of the Methods in Evidence Synthesis Unit and co-chair of the PRISMA Executive. His work focuses on improving systematic review quality, including co-developing the PRISMA 2020 statement and the RoB 2 tool for assessing bias in clinical trials. Page has led numerous studies addressing transparency, reproducibility, and bias in health research. He has held editorial roles at journals like the Cochrane Database of Systematic Reviews and the Journal of Clinical Epidemiology. His research spans interventions for musculoskeletal conditions, ADHD, and postpartum hemorrhage, with over 179 peer-reviewed publications. Awards include the Cochrane Bill Silverman Prize and multiple early-career recognitions. Education: PhD in epidemiology (2011-2015), visiting postdoctoral fellow at University of Bristol (2015-2017). Research Interests : Systematic review methodology, risk of bias assessment, reporting guidelines (PRISMA), health economics, and improving research transparency. His work bridges methodological innovation with applied clinical research, influencing global standards for evidence synthesis. Awards : NHMRC Fellowships, Cochrane Bill Silverman Prize (2018), Australasian Epidemiological Association awards (2011-2013). Grants & Projects : Leads projects on enhancing systematic review quality, updating PRISMA guidelines, and improving reporting/peer review practices. Active in initiatives like the PRISMA Executive and Cochrane Methods Group. Labs/Teams : Methods in Evidence Synthesis Unit at Monash University, collaborating internationally on guideline development and bias assessment frameworks.

• Distributed Systems
• Cloud Computing
• Data-Intensive Workflow Management
• +5 more

Dr. Zhiming Zhao is an Associate Professor and Chair of the Multiscale Networked Systems (MNS) research group at the Informatics Institute (IvI), University of Amsterdam (UvA). He serves as the technical manager of the Virtual Lab and Innovation Center (VLIC) of LifeWatch ERIC, a European research infrastructure for ecology and biodiversity science. Zhao holds an IEEE Senior Member designation and is the Managing Editor of the Journal of Cloud Computing . He earned his Ph.D. in Computer Science from UvA in 2004. His research focuses on quality-critical distributed computing, data-intensive workflows, virtual research environments, and digital twins. He leads projects such as LTER-LIFE (Dutch research infrastructure for digital twins) and coordinates UvA contributions to EU initiatives like ENVRI-HUB Next , EVERSE , and BlueCloud-2026 . Zhao’s work spans technical development in EU projects (e.g., ENVRI-FAIR , ARTICONF , CLARIFY ) and leadership roles in international workshops and conferences. His team develops frameworks like NaaVRE (Jupyter-based collaborative environments) and CloudsStorm (dynamic infrastructure planning). Current research emphasizes trustworthy AI in cloud systems, federated learning, and edge-cloud resource optimization. Key achievements include over 150 peer-reviewed publications, supervision of numerous PhD students, and contributions to open science initiatives. His lab actively explores interdisciplinary applications in environmental science, medical imaging, and blockchain-based decentralized systems.

Danielle Lynn CoteView profile

Assistant Professor

• Computational thermodynamic modeling
• Rapidly solidified materials
• Solid-state additive manufacturing
• +4 more

Danielle Lynn Cote is an Assistant Professor in Materials Science & Engineering at Worcester Polytechnic Institute (WPI), affiliated with the Mechanical and Materials Engineering department. She holds a Ph.D. in Materials Science & Engineering (WPI, 2014), an M.S. in Materials Science & Engineering (WPI, 2010), and a B.S. in Chemical Engineering (University of New Hampshire, 2005). Her research focuses on computational modeling, cold spray additive manufacturing, and advanced materials for high-deposition-rate processes. Notable awards include the NASA Early Career Faculty Award (2021) and TMS Early Career Fellow (2022). Research highlights include development of antimicrobial copper coatings via cold spray, thermal preprocessing of aluminum alloys, and optimization of feedstock powders for additive manufacturing. She leads the Cote Research Group, part of MatR: Materials Reimagined initiative, and has secured over $25M in research funding. Her work integrates computational materials science with experimental validation, emphasizing sustainable manufacturing and materials innovation. Grants: $25M Army Research Lab grant for cold spray repair technology, $56M FY2020 university-wide funding. Labs: Cote Research Lab (Data-Driven Materials Science), MatR interdisciplinary group. Teaching: Courses in Materials Science and Phase Transformations.

• Software Engineering
• Software Testing
• Program Analysis
• +4 more

Alessandro Orso is the Dean and Professor of the University of Georgia College of Engineering. Previously, he served as a professor at Georgia Institute of Technology, where he directed the Scientific Software Engineering Center and held leadership roles, including interim dean of the College of Computing (2023–2024). He earned his Ph.D. and master’s in computer science and electrical engineering from Politecnico di Milano, Italy. Orso’s research focuses on software testing, program analysis, and debugging, with applications in improving software reliability and security. His work includes developing automated testing tools (e.g., AutoRestTest), methodologies for scientific software engineering, and techniques for program debloating. His research has secured funding from agencies and industry partners like Google, IBM, and Microsoft, including a $11M grant from Schmidt Futures. His scientific awards include being a Distinguished Member of the ACM and IEEE Fellow. He advocates for innovative education, such as Georgia Tech’s Online Master of Science in Computer Science and his virtual software engineering course. His publications span automated testing, API analysis, and security, reflecting his commitment to advancing both academic research and practical software solutions. Orso’s leadership includes directing the Scientific Software Engineering Center, which pioneers methodologies for scientific software improvement and trains a new generation of engineers. His career blends academic excellence with impactful industry collaborations, driving advancements in software engineering practices.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +13 more

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Zheng ZhangView profile

Researcher

• Human-AI Interaction
• Human-Computer Interaction
• Machine Learning
• +3 more

Zheng Zhang is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, where he focuses on human-AI interaction. He also works as an Applied Scientist in Adobe's GenAI team, developing interactive AI systems for user experience enhancement. He has held internships at Apple, AWS AI, and Meta Reality Labs. Education: Ph.D. (in progress) at University of Notre Dame M.S. in Computer Science from University of Rochester and University of Minnesota B.Eng. in Software Engineering from Shaanxi Normal University His research explores the intersection of human-computer interaction (HCI) and machine learning (ML), emphasizing systems that provide adaptive, context-sensitive support for complex cognitive tasks. Key areas include collaborative tools for team ideation, incremental learning from user demonstrations, and multimodal context-aware interfaces. Recent publications demonstrate a focus on AI-augmented collaboration through large shared displays (LADICA), audio-visual annotation (PEANUT), and interactive qualitative coding (PaTAT). His work increasingly integrates generative AI with real-time human input, particularly for co-located teams and educational applications. He serves as a Program Committee member and reviewer for top HCI/ML conferences including CHI, UIST, IUI, and ACL. Teaching experience spans courses in human-AI systems, algorithms, and data structures.