Find Academic Supervisors

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +4 more

Dr. Benjamin Volmer is a Lecturer at the UniSA STEM division of the University of South Australia. His research focuses on cognitive load reduction in augmented reality (AR) and virtual reality (VR) environments through predictive cue design, human-computer interaction (HCI), and neural response analysis using electroencephalography (EEG). Current Lecturer at University of South Australia Research Degree Supervisor Member of Wearable Computer Lab Collaborator with international institutions Research Trends: Recent publications analyze incongruent information processing in AR systems, multi-level precueing for procedural tasks, and brain-computer interface (BCI) applications in immersive environments. His work demonstrates how EEG metrics and ERP components (e.g., N400, P600) can optimize AR/VR interfaces. Grants: Supported by Australian Research Council (ARC DP180100755) and TU Graz Open Access Publishing Fund. Collaborative efforts span institutions including Columbia University, University of Tokyo, and Keio University. Labs & Collaborations: Affiliated with the Wearable Computer Lab and Australian Research Centre for Interactive and Virtual Environments at the University of South Australia. International partnerships include Graz University of Technology, Columbia University, and Keio University.

• Coding Theory
• Quantum Error Correction
• Combinatorics
• +3 more

Yuichiro Fujiwara is a Visiting Associate Professor in the Mathematics department of the Division of Physics, Mathematics and Astronomy at the California Institute of Technology. His research focuses on combinatorial design theory and its applications to coding theory, quantum error correction, and information systems. He explores topics such as difference systems of sets, LDPC codes, X-codes, and quantum synchronizable codes, with an emphasis on optimizing code structures and analyzing their asymptotic properties. His work integrates advanced mathematical techniques from combinatorics, graph theory, and algebra to address challenges in error correction, synchronization mechanisms, and high-rate communication systems. Fujiwara's research has implications for both classical and quantum information processing, aiming to enhance reliability and efficiency in data transmission and storage systems. Key research trends in his articles include developing codes with improved asymptotic rates, analyzing stopping sets in LDPC codes, and designing quantum-resistant synchronization protocols. His contributions bridge theoretical combinatorics with practical engineering applications, particularly in the realm of quantum computing and advanced communication technologies.

• Inverse Problems
• Partial Differential Equations
• Applied Mathematics
• +3 more

David Johansson is a Researcher in the Department of Mathematics and Statistics at the University of Jyväskylä, affiliated with the Faculty of Mathematics and Science. He is part of the Inverse Problems research group, which focuses on mathematical theory and practical implementation of indirect measurements. His work spans theoretical and applied mathematics, with a focus on inverse problems, partial differential equations, and computational methods. Research interests include inverse problems for PDEs, corrosion detection via boundary condition analysis, and parameter identification in heterogeneous media. He has also contributed to network optimization, including energy-efficient virtual network function placement and robustness strategies in telecommunications. His earlier work includes contributions to coding theory using graph-based approaches and Galois fields. Publications highlight interdisciplinary applications of mathematics, bridging pure and applied domains. No scientific awards are explicitly mentioned, but his active research output reflects sustained contributions to these fields. His position involves collaborative research within the Inverse Problems group and academic outreach through publications.

Jinsub KimView profile

Associate Professor

• Machine Learning
• Power Systems
• Security
• +3 more

Jinsub Kim is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on statistical signal processing, machine learning, and their applications in power systems and security. He earned a Ph.D. from Cornell University and a B.S. from KAIST. His work addresses challenges in cyber-physical systems, including adversarial detection and robust state estimation for energy grids. Education: Ph.D., Electrical and Computer Engineering, Cornell University (2014) B.S., Electrical Engineering, KAIST (2007) Research Interests: Security of machine learning, power system cybersecurity, statistical inference, optimization for renewable energy integration, and signal processing for cyber-physical systems. His recent work explores GPS spoofing attacks on power grid sensors and adversarial robustness in AI systems. Recent Contributions: His publications emphasize securing critical infrastructure through advanced signal processing and machine learning techniques. Notable work includes sparse error correction frameworks for power systems and probabilistic defenses against adversarial attacks. Professional Activities: Served as co-chair of the Data Analytics and Computation symposium at IEEE SmartGridComm 2020. Active in IEEE Signal Processing Society, including chapter leadership roles. Advising & Grants: Advised doctoral student Sharmin Kibria, who won a student paper award at IEEE GlobalSIP 2018. Research supported by grants focused on power system security and machine learning applications.

• Operations Research
• Distributed Computing
• Linear Programming
• +9 more

Mohammad Ali Raayatpanah is an Associate Professor in the Department of Mathematical and Computer Sciences at Kharazmi University, Iran. He served as a Visiting Scientist at the Montpellier Advanced Knowledge Institute on Transitions, hosted by the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) from September 2024 to July 2025. Education: B.Sc. in Applied Mathematics from Kashan University, Iran (2004) M.Sc. in Applied Mathematics from Tehran University, Iran (2006) Ph.D. in Applied Mathematics from Tehran University, Iran (2013) Research Focus: Dr. Raayatpanah specializes in operations research and distributed computing, with expertise spanning linear/integer programming, network flows theory, communication networks, and network coding. His work extends to sustainable food supply chains, integrating food safety, environmental concerns, and uncertainty analysis through mathematical programming. His current research project addresses 'Mathematical Programming and Robust Optimization Techniques for Resilient and Sustainable Green Food Supply Chains'. Publication Trends: Analysis of his 2018-2025 publications reveals consistent emphasis on robust optimization for network design, particularly in wireless networks (Wireless Body Area Networks, vehicular networks) and healthcare systems. His work systematically addresses energy efficiency, resilience under attacks/uncertainty, and mathematical programming applications across supply chains and telecommunications, demonstrating methodological rigor in handling parameter uncertainty. Research Environment: During his fellowship, he collaborated at LIRMM, leveraging their infrastructure for network optimization research. His work bridges theoretical operations research with practical applications in critical infrastructure and sustainability challenges.

• Complex Systems
• Theoretical Biology
• Statistical Physics
• +1 more

Aniello Lampo is an Assistant Professor in the Department of Mathematics at Carlos III University of Madrid, where he researches complex systems within the Complex Systems Interdisciplinary Group (GISC). His work spans theoretical biology, statistical physics, and network science. His research investigates emergent phenomena in biological and urban systems, including microbial community dynamics, plant-pollinator networks, and urban congestion patterns. Recent publications reveal new macroecological patterns beyond Taylor's law and analyze structural dynamics in mutualistic ecological networks. Publications demonstrate consistent interdisciplinary approaches, combining theoretical physics with biological applications. Earlier quantum physics research includes polaron dynamics, quantum thermometry, and non-Markovian systems, showing broad theoretical expertise. No scientific awards or advised students are documented. He contributes to understanding complex adaptive systems through mathematical modeling and computational approaches at the physics-biology interface.

Juan Jose Vegas OlmosView profile

Adjunct Professor

• Photonics
• 5G
• Network Security
• +7 more

Juan Jose Vegas Olmos serves as an Adjunct Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, Denmark. His research and academic activities are centered in Copenhagen (Frederikskaj 12, 2450 København SV) with email contact olmos@es.aau.dk. His research spans Photonics, 5G networks, Network Security, High-Performance Computing, and Quantum Communications. Key contributions include Bit Error Rate optimization, Spectral Efficiency enhancement, and Multiuser Systems design, with fingerprint analysis showing strong emphasis on Photonics (89%) and 5G (79%). His work bridges theoretical concepts like Multiplexing with practical applications in data center infrastructure. Recent publications (2024) demonstrate a clear trajectory toward secure, high-speed data center technologies, focusing on DPU acceleration, quantum-resilient communications, and MPI optimization. These works reveal increasing integration of Hardware-Software co-design for network performance. He actively supervises PhD candidates including Jerónimo Sánchez García and Dimosthenis Iliadis-Apostolidis (since 2023). His project involvement includes the 2020 Danish-Japanese Network on Security and Cyber-security in Networks, addressing critical infrastructure challenges in Network Monitoring and Data Integrity.

• Quantum Computing
• Condensed Matter Physics
• Theoretical Physics
• +3 more

Dr. Alessio Calzona is affiliated with the Theoretical Physics IV department at the University of Würzburg. Previously a Temporary Lecturer and Postdoctoral Researcher (2019-2022) in the same department, his research focuses on quantum computing, topological materials, and superconductivity. He holds a B.S. (2013) and M.S. (2015) from the University of Genova, Italy, and a Ph.D. (2018) from the University of Luxembourg and University of Genova. His work bridges theoretical physics with experimental realizations, emphasizing noise-resilient quantum systems and error mitigation strategies. Research interests include quantum error correction, superconducting qubit architectures, and topological phenomena in condensed matter systems. Notable contributions address fermionic simulations, multi-layer cycle benchmarking, and fractionalized entanglement dynamics. His postdoctoral studies explored quantum hardware optimization and topological superconductors. While no awards are listed, his publications reflect a strong focus on advancing near-term quantum technologies. Calzona collaborates with Professors Trauzettel and Hankiewicz, contributing to the Theoretical Physics IV group’s initiatives in quantum computing and topological materials. His work often intersects with experimental efforts, aiming to translate theoretical insights into functional quantum devices.

• Business Process Management
• Workflow Systems
• Healthcare Informatics
• +3 more

Nicholas Russell is an active academic researcher specializing in business process management, workflow systems, and collaborative information systems. His work bridges computer science and organizational behavior, with a focus on workflow automation frameworks like YAWL and BPMN standards. He has collaborated extensively on healthcare process optimization, digital transformation in business networks, and future mobility solutions through design-led innovation. Key contributions include co-authoring the definitive guide on workflow patterns and developing methodologies for process adaptability in dynamic environments. His research spans 15+ years with impactful publications in journals like Australasian Journal of Educational Technology and conferences such as BPM and ECIS. Russell's work emphasizes practical applications of theoretical frameworks in sectors ranging from healthcare to transportation. His recent focus includes exploring online communities' role in knowledge sharing (2018) and designing networked business models for disruptive markets (2016). While no formal awards are listed, his extensive publication record reflects sustained academic contribution in process automation and collaborative systems.

• Information Security
• Cybersecurity
• Human Factors in Security
• +3 more

Malcolm Pattinson is a researcher at the University of Adelaide, focusing on information security , human factors in cybersecurity , and risk management . His work explores the psychological and organizational aspects of security, including phishing susceptibility, burnout in cybersecurity professionals, and the design of effective security training programs. Research Interests: His research primarily addresses how human behavior impacts information security, with specific emphasis on security awareness , trust in technical controls , and organizational culture . He has developed validated tools like the Human Aspects of Information Security Questionnaire (HAIS-Q) to measure security attitudes and behaviors across diverse sectors, including healthcare, banking, and government organizations. Article Trends: Over his career, Pattinson has consistently investigated human-centric security risks , such as phishing and unintentional breaches, while advocating for personalized training and resilience-building strategies to mitigate these threats. His recent work examines burnout and workplace stress in cybersecurity roles, highlighting the intersection of mental health and organizational security.

Ayesha KhalidView profile

Senior Lecturer

• Hardware Security
• Post-Quantum Cryptography
• Lattice-Based Cryptography
• +5 more

Dr. Ayesha Khalid is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast (QUB), leading research in post-quantum cryptography within the Centre for Secure Information Technologies (CSIT). She holds a PhD from RWTH Aachen University (Germany), supported by a DAAD scholarship. Her expertise focuses on secure, efficient hardware/software implementations of lattice-based cryptography for embedded systems and IoT devices. Key research contributions include developing timing-attack resilient Gaussian samplers, lightweight post-quantum schemes for constrained environments, and hybrid quantum-safe communication protocols. She has led EU H2020 projects (SAFECrypto) and Innovate UK initiatives (AQuaSec), and collaborates with institutions like Rolls-Royce and Purdue University. Her work addresses vulnerabilities in cryptographic hardware through side-channel analysis and fault injection countermeasures. Dr. Khalid is an IEEE Senior Member, IACR member, and serves on technical committees for conferences like VLSI-SoC and ISCAS. Awards include the EEECS Teaching Fellowship (2017). She actively contributes to standards development and has delivered tutorials at FPL 2022 and Schloss Dagstuhl seminars. Her research bridges theoretical cryptography with practical implementation challenges in the quantum era. Education: PhD (Magna Cum Laude) in Applied Cryptography from RWTH Aachen University Key Projects: EPSRC UK Quantum Communications Hub, Rolls-Royce Cyber Security Collaboration Expertise: FPGA-based cryptographic accelerators, post-quantum algorithm hardening, and secure embedded systems design

• Agricultural Water Management
• Soil Hydrology
• Irrigation Systems
• +3 more

Reinhard Nolz is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Institute of Soil Physics and Rural Water Management . His work focuses on optimizing irrigation strategies, soil water monitoring, and hydrological modeling to ensure sustainable water use in agriculture. Research Highlights Developed climate-resilient irrigation frameworks Advanced lysimeter-based water balance studies Integrated sensor networks for real-time soil moisture Validated evapotranspiration models Conducted international agricultural hydrology collaborations Publications 20+ peer-reviewed articles (2009-2024) on irrigation technology Key contributions to Acta Hydrologica Slovaca and Die Bodenkultur Service Editorial Board Member: Acta Hydrologica Slovaca (2017-2020) Peer reviewer for Geoderma , Journal of Hydrology

• Quantum Technologies
• Quantum Computing
• Quantum Simulation
• +3 more

Dimitris Angelakis is a Full Professor of Quantum Physics and Quantum Computing at the Technical University of Crete's School of Electrical and Computer Engineering. He also holds a Visiting Professor appointment at Singapore's Centre for Quantum Technologies. His work bridges quantum simulations with industrial applications, particularly focusing on quantum processors for high-performance computing and fundamental research in strongly correlated quantum systems. He represents Greece in the European Flagship in Quantum Technologies' Quantum Community Network and serves on Greece's National Council for Research Technology and Innovation. Education: PhD in Theoretical Quantum Optics (Imperial College, 2002), MSc in Atomic and Molecular Physics (University of Crete, 1998), BSc in Physics (University of Crete, 1997) His research explores quantum simulation and computation, quantum machine learning, optimization, and industrial applications of quantum computing. The group develops hardware-efficient algorithms for NISQ devices and investigates fundamental quantum phenomena like many-body scarring and topological states. Recent work includes resource-efficient quantum circuits for nonlinear dynamics and quantum chemistry applications. Scientific recognition includes: Google Quantum Innovation Award (2018) Greek Ministry of Defense Distinguished Young Scientist Award (2004) Institute of Physics UK Quantum Electronics Thesis Prize (2002) St Catharine’s College Cambridge Junior Research Fellowship (2001-2004) Valerie Myerscough PhD Prize (2000) Prof Angelakis has mentored numerous PhD students including Chong Hian Chee, Muhammad Umer, Harvey Cao, and Jirawat Porras. His group collaborates globally with institutions like NUS Singapore, Cambridge University, and Google Quantum AI. They actively contribute to professional service through editorial roles in European Physical Journal: Quantum Technology and Advanced Quantum Technology .

Fabienne BourgeoisView profile

Associate Professor

• Pediatric Health Informatics
• Patient Engagement
• Diagnostic Safety
• +7 more

Fabienne Bourgeois is a prominent researcher in pediatric health informatics and patient engagement, affiliated with Harvard Medical School and the Department of Population Medicine at Harvard Pilgrim Health Care Institute and Boston Children's Hospital. Her work bridges clinical care, health policy, and technology to improve diagnostic safety and equity in pediatric and adolescent populations. She earned her undergraduate and medical degrees from Yale University and completed her graduate training in public health at the Harvard T.H. Chan School of Public Health. Her clinical training includes residency at the Boston Combined Residency Program and a fellowship in Pediatric Health Services Research at Harvard. Her research focuses on leveraging digital tools—such as patient portals, telehealth, and the OurDX pre-visit engagement platform—to enhance patient and family involvement in the diagnostic process, particularly for vulnerable populations. She investigates issues of privacy, confidentiality, and equitable access in adolescent health, with a strong emphasis on how race, language, and socioeconomic status affect digital health outcomes. Her recent publications highlight a sustained focus on patient-reported diagnostic errors, family engagement through open notes, adolescent autonomy in online health systems, and reducing digital divides via tablet loaner programs. The work spans implementation science, ethical considerations, and policy implications of the 21st Century Cures Act. Active contributor to OpenNotes initiative in pediatrics Leader in developing patient-centered frameworks for diagnostic safety Focus on health equity in digital health tool deployment Dr. Bourgeois has not received any explicitly mentioned scientific awards in the provided text. She mentors trainees and leads multidisciplinary research teams focused on health services and informatics innovation. Her work is supported by institutional and federal research funding, though specific grants are not listed. She collaborates across Boston Children’s Hospital, Harvard Medical School, and partner healthcare systems to co-design and evaluate interventions that empower patients and families. She leads or contributes to research units focused on pediatric informatics, diagnostic safety, and health equity. Her team integrates qualitative, quantitative, and mixed-methods approaches to study real-world health IT implementation and its impact on care quality and patient experience.

• Logistics
• Smart Cities
• Market Analysis
• +3 more

Ewelina Berlińska serves as an Assistant at the Department of Information Systems and Logistics, Faculty of Economics, Maria Curie-Skłodowska University. She holds a PhD in Management (2021) and a Master’s degree in Management (2014) from the same institution. Her roles include curriculum development, student mentoring, and coordinating internships. PhD in Management (UMCS, 2021) Master’s in Management (UMCS, 2014) Bachelor’s in Management (UMCS, 2012) Berlińska’s research focuses on logistics , smart cities , and information systems . Her work examines urban mobility optimization, digital transformation in businesses, and sustainable transport policies. She has contributed to reports on market analysis and organizational quality management. Her publications and projects emphasize practical applications of cloud technologies , data visualization , and lean management in economic contexts. Recent collaborations include market analyses for companies like SciellAI (2023) and Bework (2021). 2023 - Homo Didacticus diploma for pedagogical excellence 2020 - Team award for securing external funding 2016-2017 - Individual awards for faculty contributions Berlińska actively trains in business simulations (REVAS, Marketplace) and participates in conferences like Makelearn (2024). She coordinates educational initiatives such as the Przedsiębiorcza Młodzież program, impacting over 220 high school and university students annually.