Find Academic Supervisors

Fendy SantosoView profile

Academic

• cyber-physical systems
• cybersecurity
• artificial intelligence
• +6 more

Dr. Fendy Santoso is a Visiting Fellow at UNSW Canberra's School of Engineering and Information Technology, where he conducts cutting-edge research at the intersection of cyber-physical systems, cybersecurity, and artificial intelligence. His work focuses on developing robust security mechanisms for autonomous systems, particularly UAVs and robotics operating in adversarial environments. His educational background includes a PhD in Electrical Engineering from UNSW Sydney and a Master of Engineering (Electrical and Computer Systems) from Monash University. Dr. Santoso's research interests span cyber-physical systems security, adversarial machine learning, trustworthy autonomy, and AI-driven cybersecurity for autonomous platforms. His work specifically targets penetration-resistant architectures and secure decision-making frameworks for UAVs and robotic systems operating in dynamic, threat-prone environments. His approach integrates advanced fuzzy logic systems with deep learning techniques to create resilient control mechanisms that can withstand cyberattacks and operational uncertainties. Analysis of his recent publications reveals a consistent focus on applying type-2 fuzzy systems, deep learning, and negative imaginary control theory to solve critical challenges in autonomous systems security and control. His work demonstrates strong interdisciplinary connections between cybersecurity, control theory, and artificial intelligence, with particular emphasis on real-world implementation and experimental validation. Distinguished Early Career Travel Fellowship 2019, University of Wollongong ARC Linkage Project: Robust Defenses Against Adversarial Machine Learning for UAV Systems (2023) CSIRO Next Generation Grant for AgriTwins: Bridging Cyber-Secure Emerging Technologies and Data-Centric Twin Tech for Resilient Agriculture of the Future (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding from prestigious sources including the Australian Research Council, U.S. Army Ground Vehicle Systems Centre, and Defence Science and Technology Group. He leads multi-disciplinary research teams and maintains strategic partnerships with defense and government agencies to translate theoretical advances into practical cybersecurity frameworks. His laboratory work centers around the Autonomous System Laboratory at UNSW Canberra, where he conducts experimental validation of security protocols for military ground robots and UAVs under realistic cyberattack scenarios.

• Machine Learning
• Network Performance
• IoT Security
• +3 more

Andreas Johnsson is an Adjunct Senior Lecturer at the Department of Information Technology , Uppsala University, Sweden. His research spans Machine Learning , Network Performance , and IoT Security in the context of 5G/6G Networks and Edge Computing . Research interests include federated learning, transfer learning, and network optimization techniques. His recent work (2024-2021) focuses on self-regulated learning models for 6G, multi-objective neural architecture search, IoT intrusion detection generalizability, and delay prediction in heterogeneous networks. He has co-authored over 15 publications in high-impact venues like IEEE Transactions on Machine Learning in Communications and Networking and IEEE NOMS . Andreas actively collaborates with researchers such as Jalil Taghia, Farnaz Moradi, and Hannes Larsson. His contributions extend to change detection algorithms, policy adaptation frameworks, and feature selection methodologies in dynamic network environments. No formal scientific awards or student advisement details are currently documented.

Arto O. SalonenView profile

Professor

• Social Pedagogy
• Sustainable Well-Being
• Sustainability Transformations
• +4 more

Arto O. Salonen is a Professor of Social Pedagogy with a focus on sustainable well-being at the University of Eastern Finland. He leads the SISU consortium and the Sustainability Transformations Doctoral Education Pilot , while also serving as an Adjunct Professor at the University of Helsinki, Finnish National Defence University, and the University of Eastern Finland. His work bridges social pedagogy, sustainability science, and societal transformation, particularly through the lenses of consumerism, digitalization, and planetary citizenship. Research Focus: Social change, sustainability transformations, climate crisis education, and the cultural dynamics of consumerism. Key Projects: Sustainability transformation from the margins , Heritage in working life , and Shared autonomous mobility . Labs/Teams: RESOURCE Research Community, Finnish Expert Panel for Sustainable Development, and interdisciplinary consortia.

Jo HerstadView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Universal Design
• Inclusive Technology
• +4 more

Jo Herstad is an Associate Professor in the Department of Information Systems Design at the University of Oslo , where she has worked since 2002. With a background in industry at Ericsson (1990-2003), Herstad bridges technical expertise with academic rigor. She teaches courses including: IN1030 - Introduction to Design, Use, Interaction (since 2017) IN2000 - Software Engineering with Project Work IN5480 - Interaction with AI and Autonomous Systems Research Focus: Her work explores Human-Computer Interaction through: Universal Design principles in digital environments Human-Robot Interaction for domestic applications Inclusive Technology across diverse populations Participatory Design methodologies Privacy Dynamics in smart homes Multimodal Systems for elderly care Key Publications (2017-2024) examine motion profiling in robotics, equitable digital feedback, and socio-technical systems. Her supervision includes 15+ master's theses on topics ranging from chatbot ethics to universal design in education. Current projects focus on: Artificial Intelligence and Sensor Technology Multimodal Elderly Care Systems (MECS) Podcast Accessibility (PUD) RHYME: Music Technology for All

• Technology Enhanced Learning
• Activity Theory
• Educational Change
• +5 more

Brett Bligh is a Senior Lecturer at Lancaster University's Department of Educational Research and Director of the Doctoral Programme in E-Research and Technology Enhanced Learning. His work focuses on technology-driven institutional change in post-compulsory education through Activity Theory and interventionist methodologies like the Change Laboratory. Current roles: Director of Teaching for Department of Educational Research Leadership in International Society for Cultural-historical Activity Research (ISCAR) Co-editorships: Studies in Technology Enhanced Learning, Bureau de Change Laboratory Research interests center on: Digital transformation in higher education Activity theory applications Change Laboratory interventions Technology-enhanced learning frameworks His recent publications analyze: Open Educational Practices (2025) Virtual sustainability initiatives (2025) Pandemic-era educational pivoting (2022) Networked learning frameworks (2023) He supervises numerous PhD students (20+) working on: AI integration in teaching Blended learning communities Logistics education reform Medical professional identity

• Wireless Communication
• Machine Learning
• Signal Processing
• +4 more

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.

Arthur TrembanisView profile

Professor

• Coastal and estuarine morphodynamics
• Sediment transport
• Hydrodynamics
• +3 more

Arthur Trembanis is a Professor at the School of Marine Science & Policy at the University of Delaware , where he conducts interdisciplinary research in coastal and marine geoscience. His work bridges oceanography, sediment dynamics, and autonomous systems, with a focus on understanding coastal morphodynamics, hydrodynamics, and seafloor mapping. Coastal & Estuarine Morphodynamics Sediment Transport Modeling Autonomous Underwater Vehicles (AUVs) Seafloor Mapping & Geoacoustics Trembanis leads the Coastal Sediments, Hydrodynamics, and Engineering Lab (CSHEL) , which explores the intersection of marine technology and environmental science. His recent publications highlight advancements in AI-driven seafloor mapping, autonomous survey platforms, and coastal response to extreme weather. He is also active in open-source tools for geological feature detection and educational outreach. The 15 most recent papers reflect trends in machine learning for coastal geology (e.g., AI for Carolina Bay detection), autonomous robotics in marine surveys, and storm impact analysis on coastal systems. Key subfields include LiDAR processing, bedform dynamics, and multi-platform data integration for environmental monitoring. Fulbright Fellowship (University of Sydney) SERDP Project MR20-1480 (Munition mobility in estuarine environments) Follow his work via the CSHEL website , Instagram , or YouTube for fieldwork and lab updates.

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +5 more

Yuta Sugiura is an Associate Professor in the Department of Information and Computer Science at Keio University's Faculty of Science and Technology. His research focuses on innovative human-computer interaction techniques, particularly in wearable computing, tangible interfaces, and novel input methods. Previously, he worked as a postdoctoral researcher at the National Institute of Advanced Industrial Science. Dr. Sugiura's research interests span Human-Computer Interaction, Wearable Computing, Augmented Reality, Tangible User Interfaces, Gesture Recognition, Ubiquitous Computing, Haptics, and Virtual Reality. His work often explores how everyday objects and environments can become interactive surfaces, with notable projects including the iRing (intelligent ring), SenSkin (skin as interface), and EarHover (mid-air gesture recognition for hearables). He has developed numerous novel interaction techniques that leverage physical properties of materials and human physiology for input and output. His recent publications indicate a strong focus on hearable computing, medical applications of HCI, edible interfaces, and novel authentication methods. The research shows a consistent pattern of exploring unconventional interaction surfaces and leveraging subtle physical phenomena for input sensing. His work has significant implications for healthcare applications, particularly in neurological disorder screening and rehabilitation. Best Paper Award Dr. Sugiura has advised numerous students who have gone on to publish significant work in top-tier HCI venues. His research has been supported by various grants enabling the development of novel interaction techniques and systems. He maintains strong collaborations with researchers across Japan and internationally, particularly in the fields of wearable computing and medical applications of HCI. His laboratory appears to focus on lifestyle computing, developing interfaces that integrate seamlessly into daily activities. Current projects include exploring edible displays, adaptive ear interfaces, and novel authentication methods using wearable devices. Future work seems to be heading toward more medical applications of HCI, particularly in neurological assessment and rehabilitation.

Viola Tuulia HakkarainenView profile

Researcher

• Environmental Science
• Sustainability Science
• Ecosystem Governance
• +3 more

Viola Tuulia Hakkarainen is a Researcher at the Helsinki Institute of Sustainability Science (HELSUS) and the Natural Resources Institute Finland (Luke) , specializing in interdisciplinary environmental research. She serves as a Supervisor for the Doctoral Programme in Interdisciplinary Environmental Sciences and a Visiting scholar in the Ecosystems and Environment Research Programme at the University of Helsinki. Her research focuses on entanglements between knowledge and action in sustainability science, exploring reflexivity , governance frameworks , and educational transformations . Key thematic areas include urban biodiversity governance , social-ecological systems , and online sustainability education . Recent publications analyze reflexive methodologies (2025), urban biodiversity action spaces (2025), and place-mobility integration in environmental governance (2024). She participates in international collaborations like the RECONNECT project (2023-2026) funded by the European Commission and the Finnish Academy. Her professional activities include organizing the Mistra Sport and Outdoors-RECONNECT workshop (2024) and presenting on value shifts in sustainability education (2023). Contact: viola.hakkarainen@helsinki.fi

Ricardo DahisView profile

Assistant Professor

• Politics
• Environment
• Development Economics
• +3 more

Ricardo Dahis is an Assistant Professor in the Department of Economics at Monash University's Faculty of Business and Economics. His research spans the intersection of Politics, Environment, and Development Economics, with particular focus on Brazilian political economy, public finance, and institutional analysis. Dahis has established himself as a prominent researcher with publications in top economics journals including the Review of Economics and Statistics and the Journal of Public Economics. His research interests encompass political economy, development economics, environmental policy, public finance, and Brazilian institutional analysis. Dahis frequently examines how political institutions shape economic outcomes, with particular attention to corruption, electoral behavior, deforestation in the Amazon, and the impact of technological change on social outcomes. His methodological approach combines rigorous econometric analysis with innovative data collection techniques, often leveraging administrative data from Brazilian government sources. Dahis's publication record shows a consistent focus on Brazilian political economy with increasing attention to environmental issues and technological impacts. His recent work demonstrates sophisticated use of natural experiments and quasi-experimental designs to address causal questions in political economy. The articles reveal a researcher deeply engaged with both theoretical questions in economics and practical policy implications, particularly for developing countries. Dahis is actively involved in academic mentorship, offering supervision hours for students and postdocs. His teaching materials suggest engagement with both undergraduate and graduate instruction in economics. Co-founder of Data Basis (Base dos Dados), a nonprofit startup making high-quality data universally accessible in Brazil Affiliated with SoDa Labs and CDES research groups Active participant in the academic community with presence on Google Scholar, GitHub, and ORCID Dahis maintains an open door policy for academic discussions and offers specialized consultations for Monash University students through scheduled appointments. His work with Data Basis demonstrates a commitment to building research infrastructure that benefits academics, journalists, policymakers, and developers across Brazil.

Gaang LeeView profile

Assistant Professor

• Construction Engineering
• Built Environment
• Human Factors
• +5 more

Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.

Marco Aurélio GerosaView profile

Academic

• Human Aspects of Software Engineering
• Software Engineering Education
• Computer Supported Cooperative Work (CSCW)
• +7 more

Marco Aurélio Gerosa is a Professor at Northern Arizona University and was previously an Associate Professor at the University of São Paulo (USP), Brazil . He is affiliated with the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU and the Department of Computer Science at USP. His research focuses on the Human Aspects of Software Engineering , including Software Engineering Education , Computer Supported Cooperative Work (CSCW) , and AI-Assisted Software Engineering . He has published extensively on topics such as Open Source Software development, Bots and Chatbots in software engineering, and Mining Software Repositories techniques. His recent work explores Using Large Language Models (LLMs) for educational purposes in programming, data science, and software engineering Developing chatbots to facilitate newcomer onboarding to OSS projects Investigating the evolution of Integrated Development Environments (IDEs) Assessing the impact of software bots on projects Understanding how to design effective chatbot languages Dr. Gerosa has received numerous scientific awards, including ACM SIGSOFT Distinguished Paper Award Best paper awards at ICSE and International Symposium on Open Collaboration IEEE Computer Society TCSE Distinguished Paper and Service Awards Productivity grants from CNPq (Brazilian Council for Scientific and Technological Development) He has graduated numerous PhD students who are now researchers in top institutions worldwide and has been a mentor to many more at various levels. His research projects have secured over USD 1 million in funding. Dr. Gerosa is also involved in the development of tools and environments for software engineering, including MetricMiner for repository analysis and various gamification platforms to enhance developer engagement. He brings over 25 years of teaching experience across multiple universities, teaching courses ranging from Introduction to Programming to Advanced Topics on Web Development and Collaborative Systems Development.

Venkat N. KroviView profile

Professor

• Robotics
• Autonomous Vehicles
• Human-Robot Interaction
• +5 more

Prof. Venkat N. Krovi serves as the Michelin Endowed Chair Professor of Vehicle Automation in the Departments of Automotive Engineering and Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). He directs the Automation, Robotics and Mechatronics Laboratory (ARMLab) at the International Center for Automotive Research (CU-ICAR), focusing on smart embedded systems for autonomy in challenging environments. He earned his Ph.D. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 1998. His research leverages distributed autonomy and human-robot synergy to extend human capabilities, with applications spanning plant automation, consumer electronics, automobile, defense, and healthcare. The work emphasizes lifecycle treatment (design through verification) of robotic systems under uncertainty. Recent publications (2024-2025) demonstrate strong trends in digital twin frameworks for autonomous vehicle validation, sim2real transfer via reinforcement learning, and integration of large language models for editable simulations. Key themes include scalable cloud-based architectures, Koopman operator theory for robustness, and containerization for reproducible robotics development. His accolades include: National Science Foundation (NSF) CAREER Award Petro-Canada Young Innovator Award Multiple best paper awards at conferences and journals ASME Dedicated Service Award (2024) Prof. Krovi has advised doctoral students including Dr. Srivatsan Srinivasan (2024). His research receives substantial funding from NSF, DARPA, ARO, and industrial partners like Michelin. He leads the NSF I/UCRC RoSeHuB center and the AutoDRIVE ecosystem for autonomous driving education. As ARMLab director, he oversees projects including OpenCAV, the Robotics for AV Systems Bootcamp, and containerized terramechanics simulations. The lab specializes in mechatronic design, verification/validation frameworks, and human-autonomy coexistence studies for next-generation mobility solutions.

Scott McCrickardView profile

Associate Professor

• Human-Computer Interaction
• Outdoor Technology Use
• Mobile Application Development
• +3 more

Scott McCrickard is an Associate Professor at the Department of Computer Science within the College of Engineering at Virginia Tech . He serves as the Co-director of Virginia Tech's Human-Centered Design Program , integrating interdisciplinary approaches into his research and teaching. Ph.D. , Computer Science, Georgia Tech (2000) M.S. , Computer Science, Georgia Tech (1995) B.S. , Mathematical Sciences (Computer Science emphasis), University of North Carolina at Chapel Hill (1992) McCrickard’s research focuses on Human-Computer Interaction (HCI) , particularly in outdoor environments. His work explores how technology can enhance experiences in nature, including the use of smartwatches for group fitness interventions, AR mobile games for social bonding, and diary studies as pedagogical tools. He also investigates mobile application development for low-literacy populations and social media integration in design processes. Recent publications highlight trends in HCI education , outdoor technology adoption, and social gaming dynamics . Key themes include leveraging diary methods for learning, designing context-aware notification systems , and analyzing indigenous knowledge preservation through self-organized online communities. As part of his leadership in the Human-Centered Design Program, he bridges computer science with design theory , emphasizing usability and social impact in technological solutions.

Tor SkeieView profile

Professor

• High-Performance Networking
• Distributed Systems
• InfiniBand Technology
• +2 more

Tor Skeie is a Professor at the University of Oslo's Department of Informatics, specializing in networks and distributed systems. His research focuses on high-performance networking, InfiniBand technologies, and adaptive routing systems. Current investigations include automated parameter tuning for reservoir simulations, adaptive routing in InfiniBand hardware, and modeling WiFi quality attenuation. His work develops efficient solutions for virtualized HPC environments and cloud computing infrastructures. Recent publications demonstrate innovations in network modeling, adaptive routing algorithms, and performance analysis of distributed systems. Research collaborations span European projects on high-performance networking infrastructures. Leads the Networks and Distributed Systems (ND) research group investigating fault-tolerant routing, network virtualization, and congestion control mechanisms.