Find Academic Supervisors

• Educational Technology
• Health Informatics
• Computer Science
• +3 more

Brad Power is a Lecturer at Murdoch University, specializing in interdisciplinary research spanning educational technology, healthcare informatics, and software development. His work focuses on leveraging technology to enhance learning environments, improve patient-clinician communication in chronic HIV care, and develop collaborative laboratory tools for metabolomics. Research interests include virtual reality applications in education, simulation-based teacher training, gaming behavior analysis, and clinical software systems. Notably, he has contributed to the design of patient-reported outcomes (ePRO) applications and web-based laboratory management systems (e.g., MASTR-MS). Brad has published extensively on topics ranging from VR learning analytics to medical microbiology case studies. His recent work emphasizes translating technological innovations into practical solutions for healthcare and education sectors. No scientific awards are explicitly listed, but his contributions reflect ongoing engagement with applied research challenges. Teaching and supervision roles are listed in his profile, though specific student advisees or grant details are not provided in the available texts. Brad’s portfolio demonstrates a commitment to bridging technology and real-world applications in diverse academic domains.

Joel M. BachView profile

Associate Professor

• Adaptive sports equipment design
• Rehabilitation Engineering
• Medical device design
• +5 more

Joel M. Bach serves as a Teaching Associate Professor within the Department of Mechanical Engineering at the Colorado School of Mines. Transitioning to a half-time teaching position in Fall 2022, his professional activities center on advancing the Human Centered Design Studio (HCDS) and establishing a Public Benefit Corporation to commercialize student-developed assistive technologies. His academic foundation includes: Ph.D. in Biomedical Engineering from the University of California, Davis B.S. in Aerospace Engineering from the State University of New York at Buffalo Bach's scholarly work historically focused on human-centered engineering applications: Adaptive sports equipment design for enhanced athletic participation Rehabilitation engineering solutions for improved mobility Medical device innovation targeting clinical challenges Computer-assisted surgical techniques development Musculoskeletal, orthopaedic, occupational, and sports biomechanics analysis Examination of his recent publication record (2015-2022) reveals continued biomechanics research with particular emphasis on orthopaedic mechanics and carpal tunnel pressure dynamics, alongside growing contributions to engineering education methodology and capstone design program development. Current initiatives prominently feature the Human Centered Design Studio (HCDS), which functions as both an educational platform for student innovation and a pipeline for commercializing assistive technologies through an emerging Public Benefit Corporation structure.

Hadjiefthymiades StathesView profile

Professor

• IoT Security
• Cloud Computing
• Machine Learning
• +7 more

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

• Data Communications
• Network Security
• Software-Defined Networking (SDN)
• +4 more

Dr. Martin Collier is an Associate Professor in the School of Electronic Engineering at Dublin City University and director of the Entwine Centre, focusing on IoT infrastructure. His research spans data and computer communications, network security, energy-efficient networking, and SDN/NFV. He leads projects like Horizon 2020's INPUT and FP7's ECONET, collaborating with IBM on data centre network design. His work emphasizes switch fabrics, green routers, and optical technologies. Research Interests: Switching/Routing, SDN, NFV, IoT, Energy Efficiency, Data Centre Networks. Recent Projects: INPUT (SDN/NFV personal cloud services), ECONET (energy efficiency), and IBM-funded data centre design. Laboratory activities include NetFPGA-based testing and SDN implementations. Teaching: Modules include Broadband Networks (EE552), Network Programming (EE562), and Communications Theory (EE450). Supervises final-year and MEng projects. Labs/Teams: Switching & Systems Lab (NetFPGA testbed), Entwine Centre (IoT infrastructure).

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +4 more

Dr. Xiaojun Wang is an Associate Professor at the School of Electronic Engineering, Dublin City University (DCU). He holds a BEng and MEng from Beijing University of Posts and Telecommunications (BUPT) and a PhD from Staffordshire University (UK). His research focuses on energy-efficient networking, hardware acceleration for packet classification/deep inspection, and cryptography algorithms. He has been instrumental in establishing China-Ireland academic collaborations, including the China-Ireland International Conference on Information and Communications Technologies (CIICT), and coordinated a successful joint Telecommunications Engineering program with Wuhan University (2006–2012). He is also a member of DCU's Entwine Research Centre. Key roles include Head of China Affairs at DCU (2002–2007), contributing to institutional partnerships. His technical work spans green energy solutions for networks, quantum computing protocols, and hardware-software co-design for cryptographic systems. He has led projects on edge computing security, vehicular communication optimization, and blockchain-based trust frameworks. Educations: BEng in Computer & Communications, BUPT (1984) MEng in Computer Applications, BUPT (1987) PhD in Engineering, Staffordshire University (1992) Affiliations: Member of Entwine Research Centre Former Head of China Affairs, DCU His recent publications emphasize secure edge computing, quantum steganography, and 5G resource orchestration. He has pioneered energy-efficient router architectures and contributed to standards for vehicular networks and blockchain trust systems.

George PapagiannakisView profile

Professor

• Mixed Reality
• Computer Graphics
• Virtual-Augmented Reality
• +6 more

George Papagiannakis is a Professor of Computer Graphics at the University of Crete, Greece, and a Marie Sklodowska-Curie Fellow at FORTH's Institute of Computer Science. He holds visiting professorships at the University of Geneva and leads the Computer Graphics Group. His research focuses on mixed reality, GPU programming, and medical XR applications. He earned his PhD from the University of Geneva (2006), M.Sc. from Bristol, and B.Eng. from Manchester. His work includes pioneering projects like MAGES SDK (medical XR training platform) and pyGANDALF (educational framework). Key contributions span over 130 publications, 3400+ citations, and €8M in research funding. He actively participates in EU projects (HDRi, Hifi-PRINTER) and has been awarded the Marie-Curie Fellowship, Best Paper Awards, and NVIDIA grants. Teaching includes advanced courses on computer graphics and programming at the University of Crete. He advises students across 4 postdocs, 15 PhDs, and numerous MSc/BSc candidates. His lab develops cutting-edge tools for immersive technologies, including geometric algebra applications in 5G/6G XR environments.

• Virtual Reality
• Augmented Reality
• Cybersickness
• +8 more

Lisa R Rebenitsch is an Assistant Professor at the South Dakota School of Mines and Technology, specializing in virtual reality research and computer science education. Her work focuses on cybersickness, immersive environments, and user interface design. B.S., South Dakota School of Mines & Technology Ph.D., Michigan State University Her research explores: Cybersickness and its physiological impacts Immersive CAVE environments and usability Virtual reality applications in geology education Postural stability metrics for VR sickness detection Collaborative student projects in computer science Recent publications emphasize cybersickness prediction models, VR display usability, and educational applications. The Virtual Reality Lab under her leadership investigates low-cost consumer systems, develops testing frameworks, and examines factors like color and contrast affecting motion sickness symptoms. Labs & Teams: Virtual Reality Lab at South Dakota School of Mines & Technology Equipped with VR headsets, Kat-mini 2D treadmill, rumble platform Access to 20 VR-ready computers with Vive Cosmo Elites

Yuhao ZhuView profile

Associate Professor

• Visual Computing
• Imaging
• Human Perception
• +5 more

Yuhao Zhu is an Associate Professor at the University of Rochester, holding joint appointments in the Department of Computer Science and the Department of Brain and Cognitive Sciences. He is affiliated with the Center for Visual Science and the Goergen Institute for Data Science. His research focuses on visual computing, spanning imaging (optics, image sensors), human perception/cognition, and computer systems (architecture, programming models). He earned his Ph.D. from The University of Texas at Austin and has held visiting positions at Harvard University and Arm Research. Education: Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2017 M.S.E. in Electrical and Computer Engineering, The University of Texas at Austin, 2015 B.S. in Computer Science and Engineering, Beihang University, 2010 Research Interests: Dr. Zhu explores interdisciplinary areas such as computational imaging, human visual perception modeling, and energy-efficient computing systems. His work bridges optics, cognition, and computer architecture, with applications in AR/VR, autonomous systems, and neural rendering. Key themes include optimizing systems using biological principles and developing tools for efficient visual computing. Awards: NSF CAREER Award (2020) University Research Award (2023, 2019) ISCA Hall of Fame (2023) ACM SIGARCH Dissertation Award (2018, Honorable Mention) Teaching and Service: He teaches courses on computer imaging, graphics, and systems architecture. He serves on program committees for top conferences (ISCA, ASPLOS, MICRO) and chairs university-wide committees on AI ethics and international collaborations. His lab, Horizon Lab, actively mentors students and fosters interdisciplinary research. Labs/Teams: The Horizon Lab at URCS focuses on visual computing, with projects in computational art, AR/VR optimization, and robotic computing systems. Collaborations span academia and industry (e.g., Meta, Arm).

Hugh O'DwyerView profile

Teaching Professor

• Machine Learning
• Audio Engineering
• Sound Source Localization
• +3 more

Hugh O'Dwyer is a Teaching Professor at Trinity College Dublin (TCD) within the Department of Electronic Engineering, where he lectures on the M.Phil in Music and Media Technology (MMT) program. He holds a Ph.D. from TCD (2021) under Prof. Frank Boland, focusing on Machine Learning applications for audio, particularly Sound Source Localization and Virtual Testing of Binaural Audio. His doctoral work included objective/subjective headphone and ambisonic microphone evaluation, alongside machine learning-based localization methods. Education: He graduated from TCD's School of Engineering with a Biomedical Engineering degree (2015), researching EEG-based musical instrument perception in the brain through his thesis. During studies, he actively participated in Trinity Orchestra and Jazz Society roles, earning a lifetime honorary membership for his contributions. Research interests span spatial audio engineering, machine learning in acoustics, and music technology education. He has published extensively with the Audio Engineering Society (AES), presenting at conferences in Helsinki, Milan, and Dublin. His work includes VR audio recording techniques, sound projector calibration, and ambisonic microphone comparisons. Outside academia, he mentors young musicians through the Suburban Sounds program and developed a CPD course in music technology for over 100 teachers during the pandemic. As a musician/producer, he has collaborated with prominent Irish artists like Hozier and Saint Sister, and his band Spies' album 'Constancy' (2018) received critical acclaim.

Sean M. BeckView profile

Assistant Professor

• Information Security
• Cloud Computing
• IT Infrastructure
• +3 more

Sean M. Beck is an Assistant Professor of Information Systems at the University of Pittsburgh at Johnstown, within the Business and Enterprise Division. With over 20 years in IT, he combines industry experience with academic instruction, focusing on practical skill development in information technology. His teaching spans courses such as Hardware, Networking, Information Security, and Systems Administration. Education: MS in Systems Engineering (Regis University), BS in Information Science and Technology (Penn State University). He holds certifications including AWS Certified Solutions Architect (Associate), VMware Certified Professional, and Microsoft Certified Technology Specialist. Professional Experience: Roles at Microsoft, VMware, Bayer (cloud/server virtualization), American Eagle Outfitters (cloud security), and non-profits like Pittsburgh Technology Council. He emphasizes critical thinking, technical skills, and collaboration in his courses to prepare students for post-graduation success. Research Interests: Enterprise architecture, cloud technologies (IaaS/PaaS), infrastructure design, disaster recovery, and information security. He integrates real-world IT challenges into classroom instruction. Contact: Biddle 121 | (814) 269-2980

Jonas RabensteinView profile

Researcher

• Operating Systems
• Distributed Systems
• System Software
• +3 more

Jonas Rabenstein is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) within the Technische Fakultät at Friedrich-Alexander-Universität Erlangen-Nürnberg. His work focuses on invasive computing, distributed systems, and system software for many-core architectures. He contributes to the SFB/TRR 89 Invasive Computing project, particularly in developing the Invasive Runtime Support System (iRTSS). His research emphasizes resource arbitration, real-time systems, and embedded architectures. Research Interests: Rabenstein explores challenges in operating systems for heterogeneous hardware, virtual shared memory for MPSoCs, and scalable system software for future many-core processors. His projects address coherence management, task scheduling, and hardware-software co-design to optimize resource utilization. Teaching and Advising: He teaches System Programming courses and has advised multiple theses, including studies on relocating loaders for OctoPOS, system call frameworks, and distributed TCP/IP stacks for manycore systems. His supervision spans Bachelor's and Master's projects, emphasizing practical implementation of distributed and real-time systems. Affiliations: As part of the Distributed Systems and Operating Systems group, he collaborates on projects like OctoPOS and contributes to conferences such as HiPEAC and IPDPSW. His work bridges theoretical system design with practical deployment on emerging architectures.

Daniel LohmannView profile

Professor

• Operating Systems
• Embedded Systems
• Real-Time Systems
• +4 more

Professor Daniel Lohmann leads the Systems Research and Architecture (SRA) group at Leibniz Universität Hannover since 2017, following his role as Associate Professor (Privatdozent) at Friedrich-Alexander-Universität Erlangen-Nürnberg (2009–2016). His work focuses on configurable system software, emphasizing embedded systems, real-time systems, and dependable architectures. Key projects include danceOS (dependability in embedded OS), Sloth (minimal-effort kernels), and AspectC++ (aspect-oriented C++ extension). His research is funded by DFG and addresses challenges in variability management, fault tolerance, and real-time scheduling. Research interests span operating systems design, software product lines, generative programming, and aspect-oriented development. Notable contributions include the CiAO OS family and the Sloth RTOS, leveraging aspect-oriented techniques for flexibility and efficiency. His work on configuration analysis (e.g., static variability in Linux) and fault mitigation (e.g., AN-Codes for soft errors) highlights his expertise in system reliability and optimization. Publications emphasize real-time systems, embedded software, and software engineering, with awards including the Best Paper Award at SPLC 2010 and an Outstanding Paper at RTAS 2017. He supervises theses on system software tailoring, fault tolerance, and industrial software ecosystems. His groups collaborate on invasive computing (SFB/TRR 89) and hardware-aware OS design.

John LangeView profile

Associate Professor

• High Performance Computing
• Operating Systems
• Networking
• +5 more

Dr. John "Jack" Lange is an Associate Professor (on leave at Oak Ridge National Laboratory) in the Department of Computer Science at the University of Pittsburgh. He holds a PhD from Northwestern University (2010) and dual B.S. degrees in Computer Engineering and Computer Science from the same institution (2003). His research focuses on High Performance Computing, Operating Systems, Virtualization, and Networking, with a current emphasis on specialized operating systems for supercomputing environments. Education: PhD in Computer Science, Northwestern University, 2010 MS in Computer Science, Northwestern University, 2006 B.S. in Computer Engineering and B.S. in Computer Science, Northwestern University, 2003 Research Interests: High Performance Computing and Operating Systems Networking, Virtualization, and Distributed Systems Specialized OS design for supercomputing environments Recent Contributions: His work includes contributions to system software for exascale computing (e.g., Hobbes OS/R, Palacios VMM, and Kitten LWK), as well as research on virtualization, resource management, and secure access control in distributed systems. Recent publications emphasize network optimization, fault isolation, and scalable system design for leadership-class supercomputers. Awards: Departmental Teaching Award (2013, 2014) Symantec Graduate Research Fellowship (2007–2008) Advising & Grants: Advised multiple PhD and MS students, including Nicholas Gordon, Judicael Djoko-Takougue, Brian Kocoloski, and Jianan Ouyang. Secured significant grants from NSF and DOE, including collaborative projects on privacy controls, resource management, and exascale system software. Professional Roles: Affiliated with the Institute for Cyber Law, Policy, and Security Senior Systems Scientist at Oak Ridge National Laboratory (2021–present) Served in leadership roles at HPDC, TPDS, and other conferences

• Network Architecture
• SDN/NFV Performance Evaluation
• QoE-Centric Network Management
• +4 more

Thomas Erich Zinner is a Professor at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU). He leads the Networking Group@IIK and has held roles including Head of the FG INET at TU Berlin and Head of the Next Generation Networks group at the University of Würzburg. He earned his diploma (2006) and PhD (2012) from the University of Würzburg. His research focuses on network eco-systems, performance evaluation of SDN/NFV architectures, QoE-centric management, and 5G/6G innovations. Key projects include TeraFlow, aiming to revolutionize SDN traffic management in beyond 5G networks. His work bridges network technologies, applications, and protocols, emphasizing optimization for emerging paradigms like software-based networking and adaptive video streaming. Recent publications address AI integration in 6G, 5G NR performance, and QoE-aware network slicing. He collaborates internationally, publishing in venues like IEEE Transactions and CNSM. His research addresses challenges in network determinism, inter-domain connectivity, and geo-distributed analytics.

Narasimha ReddyView profile

Professor

• Computer Networks
• Storage Systems
• Multimedia Systems
• +3 more

Narasimha Reddy is a Professor and Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Truchard Foundation Chair Professorship. He earned his B.Tech. from the Indian Institute of Technology, Kharagpur (1985), and M.S./Ph.D. in Computer Engineering from the University of Illinois at Urbana-Champaign (1987/1990). His research focuses on Computer Networks Storage Systems Multimedia Systems Computer Architecture Cybersecurity with notable contributions to hybrid storage systems, cybersecurity frameworks, and network protocols. Reddy has held roles such as Associate Dean for Research (2016-21) and received accolades including IEEE Fellow (2003), NSF Career Award (1996-2000), and multiple teaching excellence awards. His work spans 5 patents and includes leadership in projects like IoTAegis (IoT security), CATS (Twitter spam detection), and SCMFS (storage class memory filesystem). His awards reflect industry and academic recognition: Fellow, IEEE Computer Society Outstanding Professor Awards (1997-98, 2003-04) IBM Technical Achievement Award (1995) Reddy’s research integrates hardware-software co-design, cybersecurity resilience, and scalable storage solutions. He leads initiatives in cyber-physical systems and digital manufacturing assurance, bridging theoretical advancements with practical applications in industry.