Find Academic Supervisors

• Cyberphysical systems
• Internet of Things (IoT)
• Distributed systems
• +7 more

Prof. Dimitrios Georgakopoulos is a Professor of Computer Science at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He serves as Director of the ARC Industrial Transformation Research Hub for Future Digital Manufacturing and Swinburne's IoT Lab. Previously, he was Research Director at CSIRO's ICT Centre and a Professor at RMIT University. Affiliations: CSIRO Adjunct Fellow since 2014 Leadership: Directed 7 large cross-disciplinary initiatives with $100M+ funding Research Focus: IoT, Cyber-Physical Systems, Digital Manufacturing, Machine Learning Funding: Secured $77.1M in external grants; $59.7M at Swinburne Research Interests: Digital twins and AI for manufacturing IoT sensor sharing ecosystems 5G-enabled smart cities Autonomic IoT systems Quality assurance in Industry 4.0 Awards: 2023 National iAward (Public Sector), Vice Chancellor’s Innovation Award (2018), and multiple industry and academic recognitions. Grants & Projects: Lead researcher on ARC-funded initiatives in digital manufacturing, cybersecurity, and steel innovation. Collaborates with industry partners like Bega Cheese and FIA on IoT-driven solutions. Labs & Teams: Oversees Swinburne's IoT Lab and the ARC Future Digital Manufacturing Hub, advancing Industry 4.0 applications in manufacturing, healthcare, and smart infrastructure.

Steffen BeckerView profile

Professor

• Software Engineering
• Cloud Systems
• Model-Driven Engineering
• +7 more

Steffen Becker is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute for Software Engineering's Software Quality and Architecture group. His work focuses on software engineering, cloud systems, model-driven engineering, and cybersecurity. He leads research in architectural modeling tools like Slingshot, GUI testing frameworks (ViMoTest), and hardware security analysis. Recent studies explore AI integration in testing, education, and automotive systems (CARISMA). Research interests include elasticity modeling, self-adaptive systems, and educational technology. His 2025 publications address issues like end-user hardware comprehension, FPGA security, and LLM-driven test generation. Notable tools developed include the Slingshot Simulator for cloud-native systems and Gropius for cross-component issue management. Becker contributes to both theoretical advancements and practical implementations in software quality, security, and cloud infrastructure. Key Areas: Software Architecture, Cyber-Physical Systems, Testing, Reverse Engineering Tool Developments: ViMoTest, Slingshot, Gropius Education Focus: Online programming pedagogy and curriculum innovation His work bridges foundational research with industry applications, addressing challenges in automotive computing, cloud elasticity, and human-centric security awareness. Recent efforts emphasize explainable hardware (XHW) and AI's role in qualitative analysis automation.

Pat BarrowView profile

Senior Lecturer

• Information Systems
• Organizational Information Systems
• Requirements Engineering
• +4 more

Pat Barrow is a Senior Lecturer in Business Information Systems at Norwich Business School, University of East Anglia. He holds a PhD (2000) and MA (2007) from UEA, alongside a BSc (1993). His academic background focuses on stakeholder evaluation in Rapid Application Development and organizational aspects of Information Systems. Though he transitioned to a non-research role in 2000, his past research explored requirements engineering, UML formalisms, and systems evaluation in Saudi Arabian private organizations. He teaches extensively across undergraduate and postgraduate levels, including MBA programs. Education: BSc (1993), PhD (2000), MA (2007) from University of East Anglia Research interests include IS design, supply chain digitalization, and human-centric IS challenges. Though not currently publishing, his prior work addressed system evaluation methodologies and software development patterns. He has coordinated administrative roles such as Senior Advisor for Postgraduate Students (2023–) and Workload Allocation Model coordinator (until 2021).

• Metal Forming
• Joining Processes
• Tribology
• +5 more

Chris Valentin Nielsen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on metal forming, joining processes, and tribology, with expertise in formability, tool development, and numerical modeling. His work contributes to UN Sustainable Development Goals related to sustainable manufacturing. He supervises PhD students in projects such as sustainable busbars for electric vehicles and adjustable tool design for high-volume production. His research interests include metal forming (e.g., deep drawing, ironing), joining technologies (resistance welding, laser welding), and advanced manufacturing methods like additive manufacturing. He employs finite element modeling and experimental analysis to bridge fundamental and applied research. Collaborations span global institutions, addressing challenges in material behavior, process optimization, and tool durability. Recent publications explore topics such as dieless Nakajima testing for additive materials, punch design improvements, and asperity deformation mechanics. His work emphasizes sustainability, robust production systems, and eco-friendly lubrication solutions. Projects involve interdisciplinary teams, integrating numerical simulations with industrial applications to enhance manufacturing efficiency and material performance.

Ben MasonView profile

Associate Professor

• Geological Earthquake Engineering
• Cascading Hazards
• Coastal Geotechnics
• +7 more

Ben Mason is an Associate Professor in the Department of Geological Sciences and Engineering at the University of Nevada, Reno (joined January 2025). Previously, he held faculty positions at Oregon State University's College of Engineering and conducted research at the U.S. Geological Survey's Geologic Hazards Science Center in Golden, Colorado. He holds a Professional Engineer certification (State of Colorado). Education: Ph.D. in Civil and Environmental Engineering, University of California, Berkeley, 2011 M.S. in Civil and Environmental Engineering, University of California, Berkeley, 2007 B.S. in Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 2006 Research Focus: Mason's work centers on geological earthquake engineering, cascading hazards (e.g., earthquake-tsunami interactions), coastal geotechnics, and post-disaster field reconnaissance. He has conducted extensive studies on fault displacement uncertainty, anthropogenic impacts on ground failure, and sediment instability during tsunami events. His recent projects include analyses of the 2023 Türkiye earthquakes (Pazarcık and Kahramanmaraş) and the 2022 Chihshang earthquake in Taiwan. Publications Trends: His recent articles emphasize advanced modeling techniques for seismic hazards, integration of field observations with theoretical frameworks, and contributions to building code improvements. He frequently collaborates on multi-hazard studies involving tsunami and earthquake interactions, particularly focusing on soil dynamics and liquefaction mechanisms in coastal regions. Grants & Advising: No specific grants or advisee information is provided in the text. However, his involvement with the GEER team (Geo-engineering Extreme Events Reconnaissance) indicates active participation in disaster-response research initiatives. Labs/Teams: Participates in the GEER team for post-disaster geotechnical investigations and collaborates with research groups studying seismic risks and coastal infrastructure resilience. His work leverages centrifuge modeling facilities and state-of-the-art geophysical analysis tools.

Wiley ChungView profile

Assistant Professor

• Surgical Innovation
• Esophageal Cancer
• Lung Cancer
• +5 more

Dr. Wiley Chung is an Assistant Professor in the Division of General Surgery & Division of Thoracic Surgery at Queen's University, affiliated with Kingston Health Sciences Centre (KHSC). He holds cross-appointments in the Department of Surgery within the School of Medicine. His clinical expertise focuses on esophageal and lung cancers, alongside benign esophageal diseases and endobronchial ultrasound guidance. His research emphasizes surgical innovation, medical technology development, and patent creation. Education: MD from The University of British Columbia (2009), BSc in Microbiology and Immunology (2005). Completed residencies in General Surgery (University of Toronto) and Thoracic Surgery (University of Calgary). Research Interests: Dr. Chung's work spans surgical technique optimization, perioperative care advancements, and translational research in gastrointestinal oncology. He leads studies on venous thromboembolism prevention, atrial fibrillation mitigation in thoracic surgery patients, and patient navigation programs to reduce esophageal cancer treatment delays. Key Roles: Attending Staff at KHSC, clinician-scientist focused on surgical innovation, and principal investigator for trials like the COP-AF study. He actively contributes to surgical education through initiatives like the C-CASE conference and anti-racism virtual simulations. Affiliations: Kingston Health Sciences Centre (Attending Staff), Queen’s Laboratory for Molecular Pathology (QLMP) collaborator, and member of multidisciplinary cancer teams.

• Food Chemistry
• Agricultural Science
• Food Safety
• +3 more

Prof. Irene Chetschik leads the Research Group for Food Chemistry at ZHAW School of Life Sciences and Facility Management. Her work focuses on food chemistry, particularly cocoa processing, mycotoxin mitigation, and flavor analysis. She has spearheaded projects like the 'Decoding of Flavour Properties of Cocoa Liquors' and 'Upcycling of Wheat Harvest Losses'. Key research areas include aroma compound identification in chocolate, detoxification strategies for mycotoxins (e.g., zearalenone), and innovative post-harvest treatments for cocoa beans. Her expertise spans food safety, plant-based product development, and microbial biotechnology. Notable contributions include studies on cocoa fermentation dynamics, moisture incubation alternatives, and hemp's potential in food systems. She has published widely in journals like Journal of Agricultural and Food Chemistry and Food Research International , with a focus on sensory-driven improvements and sustainable food technologies. Research Group Leadership: Head of Food Chemistry Research Group Project Leadership: 12+ projects including detoxification strategies, cocoa innovation, and hemp analysis Publications highlight molecular approaches to flavor profiling and mycotoxin reduction, emphasizing interdisciplinary methods like GC-MS and molecular networking. Her work bridges agricultural science with industrial applications, aiming to enhance food quality and safety globally.

Aleksandar JevremovićView profile

Professor

• Human-Computer Interaction (HCI)
• Cybersecurity
• Internet of Things (IoT)
• +6 more

Aleksandar Jevremović is a Full Professor at the Faculty of Informatics and Computing, Singidunum University (Belgrade, Serbia), and holds multiple academic and professional roles. He is the Serbian representative at the UNESCO IFIP Technical Committee on Human-Computer Interaction since 2018. He has served as Vice-Dean of his faculty (2015–2018) and held visiting professorships at institutions like Ss. Cyril and Methodius University (North Macedonia) and Tallinn University (Estonia). His research focuses on cybersecurity, IoT, AI, and e-learning innovation. Education and Affiliations: External Researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts Visiting Scholar at Cyprus Interaction Lab (Cyprus University of Technology) Alumni/Postdoc Researcher at Tallinn University's HCI Group Member of IEEE and the Informatics Association of Serbia Research Interests: Jevremović’s work spans cybersecurity (e.g., intrusion detection, secure IoT protocols), human-computer interaction (HCI), AI-driven education tools, and neurotechnological applications like EEG-based assessment systems. He emphasizes practical solutions for digital safety, such as children’s online protection and cryptographic key generation from biometric data. Grants and Projects: Member of the External Advisory Committee for the EU-funded ONTOCHAIN project (2022–2023) Mentor for training schools like AAPELE Training School and NET4Age-Friendly initiatives Trainer in IoT, cybersecurity, and health promotion programs across Europe Labs and Teams: He collaborates with interdisciplinary teams on projects like CASPER (Children Agents for Secure and Privacy Enhanced Reaction) and led the development of WIDE, a collaborative web development education platform.

Shaurya AgarwalView profile

Associate Professor

• Cyber-Physical Systems
• Intelligent Transportation Systems
• Smart Cities
• +7 more

Shaurya Agarwal is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), where he has been a faculty member since 2018. He is the founding director of the URBANITY Lab (Urban Intelligence and Smart City Lab) and currently serves as the director of the Future City Initiative. Prior to joining UCF, he was an Assistant Professor in the Electrical and Computer Engineering Department at California State University, Los Angeles (2016–2018). Ph.D. in Electrical Engineering, University of Nevada, Las Vegas (2015) Postdoctoral Research, New York University (2016) B.Tech. in Electronics and Communication Engineering, Indian Institute of Technology (IIT), Guwahati Dr. Agarwal's research lies at the intersection of cyber-physical systems, intelligent transportation systems, and smart cities. He employs interdisciplinary methodologies integrating control theory, data-driven techniques, physics-informed machine learning, and mathematical modeling to address challenges in connected and autonomous mobility. His work emphasizes real-world applications such as traffic state estimation, signal-free intersections, and pedestrian safety using LiDAR perception. His recent publications demonstrate a strong trend in applying physics-informed deep learning and Koopman operator theory to model complex traffic dynamics. These works leverage both Lagrangian and Eulerian data frameworks and aim to improve accuracy under sparse sensor conditions. The research spans transportation, public health, and social systems, indicating a broad interdisciplinary impact. Dr. Agarwal is a senior member of IEEE and serves as an Associate Editor for IEEE Transactions on Intelligent Transportation Systems . His research has been funded by agencies including the Federal Highway Administration (FHWA), Florida Department of Transportation (FDOT), and Oculus. Senior Member, IEEE Associate Editor, IEEE Transactions on Intelligent Transportation Systems He actively mentors Ph.D. students in the Civil, Environmental, and Construction Engineering Department and leads the URBANITY Lab, a research team focused on next-generation urban mobility solutions. The lab develops real-time 3D object detection algorithms, operates a small-scale CAV test-bed, and explores hybrid approaches bridging theory, simulation, and practice.

Dan WarrenView profile

Academic

• Population Biology
• Ecology
• Evolution
• +9 more

Dan Warren is a Senior Research Fellow at the Gulbali Research Institute, Charles Sturt University, where he conducts interdisciplinary research in population biology, ecology, evolution, and conservation. His work centers on developing and refining species distribution models and environmental niche models to understand biodiversity and support conservation under global change. PhD in Population Biology, University of California, Davis Dan Warren's research interests lie in the development and application of quantitative tools for ecology and evolution. He focuses on species distribution models (SDMs), environmental niche models (ENMs), and their use in understanding biodiversity patterns, evolutionary processes, and conservation planning. His methodological innovations, such as those in the ENMTools R package, are widely adopted. His work spans animal behavior, climate change impacts, and conservation management, with strong relevance to UN Sustainable Development Goals on climate action and life on land. His recent publications reflect a consistent focus on improving the accuracy, interpretation, and application of species distribution models. Trends include addressing bias in model outputs, enhancing methodological standards, and developing robust tools for conservation under climate uncertainty. He frequently publishes in top ecological journals such as Ecography and Methods in Ecology and Evolution , and his work integrates software development with theoretical ecology. Dan Warren has served in key scientific roles, including as Associate Editor for Ecography and Systematic Biology , and as a reviewer for the IPBES global assessment. These contributions highlight his leadership in advancing scientific rigor and policy relevance in biodiversity science. He is actively involved in mentoring and collaborative research, contributing to datasets and methodological frameworks used by the broader ecological community. His work supports both academic inquiry and practical conservation, emphasizing robust, data-driven decision-making.

Klaus MosthafView profile

Associate Professor

• Contaminant Transport in Porous Media
• Groundwater Contamination
• Numerical Modeling
• +10 more

Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.

• Reservoir Engineering
• CO2 Enhanced Oil Recovery & Storage
• Data-Driven Reservoir Modeling
• +5 more

Ashkan Jahanbani Ghahfarokhi is an Associate Professor in Reservoir Engineering at NTNU’s Department of Geosciences since 2019. He leads the CEORS Gemini Centre (CO2 Enhanced Oil Recovery & Storage) and is a core member of the BRU21 Reservoir Management group. His research focuses on data-driven subsurface modeling, CO2 storage, and optimization of oil recovery processes. Education: PhD, NTNU (2015); MEng, University of Calgary (2009); MSc/BSc, Petroleum University of Technology, Iran (2006–2009). Roles: Head of Reservoir Engineering Group (2021–2022), Project Manager for NORHED II (2022), and NTNU’s Outstanding Academic Fellow (2022–2026). Research interests include CO2-EOR/Storage, machine learning applications, proxy modeling, and reservoir simulation. He has supervised 20+ students and published over 40 journal/conference papers. Awards include DNVA postdoc scholarship (2015–2017) and PoreLab postdoc (wettability studies). Teaching: Masters/PhD courses in reservoir fluids, simulation, and geomechanics. Guest editor for Energies (AI in Oil & Gas).

• Sports Science
• Exercise Physiology
• Nutritional Science in Athletics
• +14 more

Dr. Ciarán Ó Catháin is a Lecturer in the Department of Sport and Health Science within the Faculty of Science and Health. He is actively engaged in research at the intersection of sports science, exercise physiology, and nutritional health, with a strong emphasis on athlete performance and well-being. His research interests include: Sports Science and Exercise Physiology Nutritional Science in Athletics Female Athlete Health, particularly menstrual cycle and hormonal contraceptive tracking Dietary intake and culinary nutrition among athletes Resisted sprint training and performance monitoring Systematic reviews and meta-analyses in sports interventions Application of machine learning and wearable technology in sports Dr. Ó Catháin’s recent publications demonstrate a trend toward evidence synthesis (systematic reviews and meta-analyses), interdisciplinary methodologies, and a growing focus on gender-specific considerations in sports performance. His work integrates engineering concepts such as gait analysis and phase velocity with health sciences, reflecting a cross-disciplinary approach. He also explores emerging technologies like augmented reality and synthetic data generation for performance prediction. While no formal scientific awards are listed, his research has contributed to high-impact journals including Sports Medicine , Frontiers in Sports and Active Living , and Nutrition Bulletin . His h-index of 10 and 254 citations reflect a solid and growing academic influence. There is no available information regarding student supervision, grant funding, laboratory affiliations, or collaborative teams. However, his frequent co-authorship suggests active research collaboration, particularly with researchers in sports physiology and nutrition.

• Quantum Computing
• Nanotechnology
• Nanoscale Electronics
• +5 more

Heike Riel serves as IBM Fellow, Head of Science of Quantum and Information Technology, and Lead of IBM Research Quantum Europe at IBM Research. Her work focuses on quantum computing, nanoscale electronics, and optoelectronic device innovation. PhD in Physics (University of Bayreuth, 2003) MBA (Henley Business School, 2010) Research interests center on quantum computing hardware, nanoscale device engineering, and neuromorphic computing technologies. Her publications demonstrate expertise in semiconductor-metal interfaces, superconducting quantum devices, and nanowire-based systems. Article keywords include Quantum Physics , Nanotechnology , and Materials Science with sub-fields spanning spin qubit control , Josephson junction dynamics , and hybrid quantum systems . TR100 (2003) IEEE Andrew S. Grove Award (2022) National Academy of Engineering (2022) Riel advises academic institutions as member of review committees and serves on Germany's Forschungszentrum Jülich Scientific Advisory Council. She has filed over 50 patents in semiconductor technologies and led the development of 20" full-color OLED displays.

• Bioinformatics
• Computational Intelligence
• Natural Language Processing
• +5 more

Prof. Yu-Seop Kim is a Professor at the School of Software, Hallym University, Chuncheon-si, Republic of Korea. He holds a B.Eng. in Computer Science from Sogang University (1992), and M.Eng. (1994) and D.Eng. (2000) in Computer Engineering from Seoul National University. His academic work is centered on the integration of artificial intelligence with biomedical applications. B.Eng., Department of Computer Science, Sogang University, 1992 M.Eng., Computer Engineering, Seoul National University, 1994 D.Eng., Computer Engineering, Seoul National University, 2000 His research interests lie at the intersection of bioinformatics, computational intelligence, natural language processing, and deep learning , with a strong emphasis on medical applications. He actively explores how AI can assist in clinical diagnostics and healthcare documentation. The recent trend in his publications demonstrates a focus on AI-driven medical image analysis and automated clinical text generation . His work leverages convolutional neural networks and language models to interpret brain CT scans, detect aortic dissection, and augment medical reports for cerebrovascular diseases. These efforts reflect a consistent effort to bridge machine learning with real-world clinical challenges. While no scientific awards are listed in the provided text, his collaborative research output suggests active engagement in academic and clinical partnerships. Prof. Kim has advised multiple researchers and co-authored numerous publications, particularly in journals like Applied Sciences and Journal of Clinical Medicine . Although specific grant information is not mentioned, his research likely involves funding for AI in healthcare. He collaborates with colleagues such as Byoung-Doo Oh, Chulho Kim, and Bitnarae Kim, indicating a multidisciplinary team approach. His work appears to be conducted within a research group or lab focused on AI for medical imaging and language processing , potentially involving students and clinical collaborators from affiliated institutions like Chuncheon Sacred Heart Hospital. This environment supports translational research from algorithm development to clinical validation.