Find Academic Supervisors

Simon HarperView profile

Professor

• Human Computer Interaction
• Web Accessibility
• Digital Health
• +4 more

Simon Harper is a Professor of Human Computer Systems at the University of Manchester, leading the Web Ergonomics Lab. His research focuses on web accessibility, human-computer interaction, and healthcare technology, with a particular emphasis on disabilities like visual impairment. He has pioneered initiatives such as the Web4All conference series and serves on steering committees for major conferences like ACM HT and ASSETS. Harper has secured over £1.45M in grants since 2007 and holds an h-index of 20. His work spans medical technology innovations (e.g., HYPO-CHEAT hypoglycemia reduction system), accessibility evaluation methods (OPTIMAL-EM tool), and environmental monitoring via citizen science. He has received prestigious awards including the ACM Doug Engelbart Prize (2000) and Best Paper awards at W4A. Harper's academic contributions include over 140 publications, with key areas in diabetes management systems, Parkinson’s disease monitoring via smartphone data, and web accessibility evaluation methodologies. His teaching integrates cutting-edge research into professional computing education, emphasizing real-world industry practices. He is actively involved in standards bodies like the W3C Web Accessibility Initiative and serves on editorial boards for journals such as ACM Transactions on Accessible Computing. Research Groups: Information Management, Data Science Institute, Web Ergonomics Lab Professional Roles: Chair of ACM SIG Hypertext, RCUK EPSRC Inclusion Cluster Expert Lab Focus: Developing computational models for human behavior in digital environments

Kun QianView profile

Assistant Professor

• Wireless Networking
• Smart Sensing and Intelligent Systems
• Mobile Computing
• +3 more

Kun Qian is an Assistant Professor in the Department of Computer Science at the University of Virginia , affiliated with the Link Lab and WINK (Wireless Intelligence & NetworKing) Lab . His research focuses on ambient intelligence and ubiquitous connectivity through wireless technologies. Ph.D., Tsinghua University (2019) B.E., Tsinghua University (2014) His work spans wireless networking , smart sensing , and mobile computing , with applications in next-generation communication , IoT sensing , and autonomous driving . Recent publications highlight advancements in millimeter-wave coverage expansion , wireless spoofing detection , and visual-RF fusion for channel modeling. Notable awards include the SenSys Best Paper Award (2023) and MobiCom Best Paper Award (2020) . He leads courses like CS4501: Wireless for the Internet of Things and mentors PhD students Shunqiang Feng and Mohan Zhao .

Zhicheng LuView profile

Research Fellow

• Deep Learning
• Computer Vision
• AI in Healthcare
• +3 more

Zhicheng Lu (Andy) is a Postdoctoral Research Fellow in Artificial Intelligence at the Rural Health Research Institute, Charles Sturt University. He holds a PhD in Computer Science from the University of Sydney. His research focuses on AI applications in healthcare, particularly stroke diagnosis systems using deep learning, and light field imaging techniques. He has expertise in computer vision, image processing, and neural networks. Education: PhD in Computer Science (University of Sydney). Research Interests: AI-driven medical diagnostics, light field technology, event-based vision systems, and haptic interfaces. His work contributes to UN Sustainable Development Goals related to health and innovation. Collaborations include projects on light field video synthesis, dynamic force feedback systems, and bio-inspired sensing technologies. He has published extensively in journals like IEEE Transactions and conference proceedings, with a focus on advancing AI applications in healthcare and imaging.

Allen RossView profile

Professor

• Global Health
• Infectious Diseases
• Public Health
• +4 more

Professor Allen Ross is a tenured Professor of Medicine and Physician Scientist at the Rural School of Medicine, Charles Sturt University, Australia. His expertise spans community medicine, rural health, global health, enteric diseases, pandemic planning, and vaccination. He holds advanced degrees from institutions like the University of Queensland and University of Sydney, including a Doctorate of Medical Science (D.Sc.). Research Interests: Ross's work focuses on global health challenges such as schistosomiasis elimination, diarrheal disease epidemiology, and the impact of climate change on health. His recent studies include global burden analyses of nontraumatic subarachnoid hemorrhage and childhood obesity interventions. He advocates for equitable healthcare access in rural and Indigenous communities. Awards: Ross is a Fellow of multiple prestigious institutions, including the Royal College of Physicians (Edinburgh) and the Royal Society of New South Wales. His research has been cited over 10,000 times, with an h-index of 51. Grants & Labs: As part of the Rural Health Research Institute, he leads projects on disease control and health equity. Collaborations include global initiatives targeting schistosomiasis and cholera in Asia and Africa.

• Formal Languages
• Programming Language Semantics
• Cybersecurity
• +5 more

William Steingartner is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice (TUKE). He specializes in formal languages, programming language semantics, cybersecurity, and computer science education. His research focuses on advancing pedagogical tools for teaching formal semantics, compiler design, and secure software development. He actively contributes to academic governance, serving as Principal Investigator on projects like 'Application of new principles in the education of IT specialists' and participating in 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum.' Dr. Steingartner holds editorial roles, including guest editor for the Central European Journal of Computer Science (since 2011) and editor of proceedings for conferences like INFORMATICS 2019. He has organized major events such as the International Scientific Conference Informatics in 2013, 2015, 2017, and 2019, demonstrating leadership in academic event management. His teaching spans formal languages, logic for computer scientists, and domain-specific language design. Research highlights include developing tools like OnlineProver for formal logic education and RISCAL for semantics visualization. He explores cybersecurity challenges in hybrid threats, API security, and cyber resilience strategies, alongside innovations in VR applications for therapy and education. Key contributions include over 50 publications since 2015, with recent work addressing disinformation campaigns, smart orthosis design, and pedagogical software for programming semantics. He emphasizes interdisciplinary collaboration, bridging theoretical computer science with practical applications in medicine, robotics, and user experience design.

Andrea SchützeView profile

Professor

• Nanoelectronics
• Low-Power Circuits
• Mixed-Signal Design
• +3 more

Prof. Dr. Andrea Schütze is a full professor at the Department of Microelectronics and Circuit Technology, Technische Universität Dresden. Her research focuses on nanoelectronics, energy-efficient systems, and bio-inspired circuits. She leads the Nanoelectronics and Circuits Group and directs the Dresden Center for Emerging Technologies. Education: PhD in Electrical Engineering, TU Dresden (2007) Diploma in Microelectronics, TU Ilmenau (2003) Research Interests: Andrea Schütze pioneers bio-inspired circuits for neuromorphic computing and develops ultra-low-power mixed-signal systems for IoT. Her work bridges nanoelectronics with biomedical applications, emphasizing energy-efficient architectures and novel device integration techniques. Publications: Recent articles highlight advancements in nanoelectronic devices, neuromorphic circuits, and 3D stacked CMOS integration. Her work frequently addresses emerging technologies like quantum dots and spintronics. Awards: 2018 IEEE Women in Engineering International Leadership Award 2020 German Future Prize Grants & Advising: Current EU Horizon 2020 grant (€4.2M) for bio-inspired computing. Supervises 5 PhD students and 12 master's students in topics ranging from neuromorphic hardware to energy harvesting circuits. Labs & Teams: Leads the TU Dresden Nanoelectronics Lab, collaborating with Fraunhofer Institute for Integrated Circuits (IIS). Active in EU-funded Clean Sky 2 consortium for energy-efficient avionics systems.

Inka MuellerView profile

Professor

• Structural Health Monitoring (SHM)
• Guided Wave-Based Systems
• Non-Destructive Testing (NDT)
• +6 more

Prof. Dr.-Ing. Inka Mueller is a Professor in the Department of Mechatronics and Mechanical Engineering at Bochum University of Applied Sciences. She leads the AG Mueller research group within the Institute of Mechanics, focusing on Structural Health Monitoring (SHM), guided wave-based systems, and non-destructive testing (NDT). Her work emphasizes reliability assessment of SHM systems, sensor calibration, and the application of artificial intelligence in damage detection. Research Interests: Her primary areas include SHM systems for civil infrastructure and petrochemical pipelines, guided wave propagation analysis, acoustic emission sensor diagnostics, and the development of standardized methods for SHM system validation. She also explores the integration of AI techniques to enhance damage localization accuracy and system reliability. Key Projects: She leads the ITN GW4SHM project to improve guided wave-based SHM reliability and the calibrAEte initiative for acoustic emission sensor standardization. She is a key member of the DFG Scientific Network advancing SHM system quality assessment. Grants & Advising: Mueller has managed multiple industrial and academic projects, including the C7 - SFB 837 tunnel boring machine monitoring system. She advises doctoral student Ahmed Bayoumi and collaborates with international researchers in Germany, Russia, Italy, and the Netherlands. Labs & Teams: Her team operates within the AG Mueller group, focusing on experimental mechanics and data-driven SHM solutions. The group contributes to industry partnerships and publishes extensively in journals like Sensors and IEEE Transactions on Ultrasonics .

Niklas KleinView profile

Professor

• Context-Aware Systems
• Ubiquitous Computing
• Smart Grid Applications
• +4 more

Niklas Klein is a Professor at the Department of Information and Communication at Flensburg University of Applied Sciences. He also serves as Vice President for Studies and Teaching on the Executive Board. His academic background includes a PhD from the University of Kassel (2011) and earlier degrees from the University of Paderborn. His research focuses on context-aware systems, ubiquitous computing, and smart grid technologies. He has contributed to projects like the Future Internet Smart Grid Application (2013), activity recognition using inertial sensors (2011), and XML/XQuery transformation frameworks (2005–2011). His work emphasizes time synchronization in sensor networks and user-centric service creation. Notable publications include studies on context prediction stability, energy management in smart grids, and DAG-based context reasoning architectures. He has advised over 20 Master's and Bachelor's students in areas like distributed systems and communication technologies. Klein has secured funding for projects such as the KLIMASCHUTZ-PLANER (2013–2014) and IT2Green Pinta (2012–2014). He organizes workshops like AwareCast and serves on technical program committees for CAPS 2012 and Context 2011. Additional service includes managing the alumni network for Kassel University's Communication Technologies chair and supporting international student recruitment.

Yashar DeldjooView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +7 more

Yashar Deldjoo is an Assistant Professor specializing in artificial intelligence, machine learning, and their applications in healthcare, user modeling, and recommender systems. His research focuses on explainable AI, ethical AI practices, multimodal learning, and brain-computer interfaces. He has contributed to projects like WeBIUM (Wearable Devices and Brain-Computer Interfaces for User Modelling) and ARIEL (emotional support via BCI and LLMs). His work bridges technical advancements with societal impacts, addressing challenges in healthcare diagnostics (e.g., Alzheimer’s disease prediction), environmental sensing (real-time pollution-aware recommendations), and cybersecurity (data poisoning attacks on recommendation systems). He also explores fairness in large language models and the integration of EEG-based emotion recognition systems. Notable contributions include frameworks like BRAINEX (CNN model evaluation for brain age prediction), Ducho (multimodal feature extraction for recommendation systems), and KGUF (knowledge-aware graph-based recommenders). He chairs conferences like RecSys and contributes to industry-relevant standards for trustworthy AI systems. His research emphasizes interdisciplinary collaboration, combining neural networks, ethical considerations, and human-computer interaction. Current projects involve neurorehabilitation tools, quantum security for smart cities, and AI-driven usability testing.

• Computer Simulation
• Electrical Power Engineering
• Information Technology
• +7 more

Wilfried Elmenreich is a Professor at the Institute for Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He holds roles as Member of the Senate and Member of the Works Council for Academic University Staff. His research focuses on computational systems, energy engineering, and smart technologies, including swarm intelligence, cyber-physical systems, and sustainable energy solutions. Key interests include non-intrusive load monitoring (NILM), renewable energy integration, and decentralized learning paradigms. Research priorities encompass computer simulation, electrical power engineering, complex systems, and self-organization. Notable work includes frameworks like SwarmFabSim for production scheduling and CPSwarm for swarm robotics design. He also explores sustainability education and pandemic-related behavioral shifts in sustainability attitudes. Recent publications highlight advancements in federated learning for smart grids, energy disaggregation using NILM, and applications of biologically-inspired algorithms in critical infrastructure. His work integrates simulation reproducibility, open-source tools like Gradle/Docker, and educational games for renewable energy awareness (e.g., DAYSAM). Labs/Teams: Core member of the Institute for Networked and Embedded Systems, leading projects in CPS design, energy systems, and swarm robotics. Collaborates on EU initiatives like CPSwarm and educational outreach in sustainable development.

Ya HuangView profile

Associate Professor

• Biomechanics
• Human Motion Dynamics
• Vibration Analysis
• +6 more

Ya Huang is an Associate Professor in Human Motion Dynamics at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering within the Faculty of Technology. He specializes in human responses to motion, signal processing, and vibration analysis. Huang joined Portsmouth in 2009 after postdoctoral research at the University of Sheffield on structural dynamics and earned his PhD in human responses to whole-body vibration from the Institute of Sound and Vibration Research (ISVR), University of Southampton (2008). Education: PhD in Human Responses to Whole-Body Vibration, University of Southampton (2008) Postdoctoral Researcher, Blast and Impact Dynamics Group, University of Sheffield Research Interests: Dr. Huang focuses on applying analytical and computational methods to understand human biomechanical responses to whole-body vibration and mechanical shocks across land, air, and sea transport. Key areas include: - Development of signal reconstruction methodologies for vibration analysis - Maritime safety through real-time wave imaging and vessel seakeeping optimization - Musculoskeletal modelling for crew bracing strategies on fast lifeboats Grants & Projects: EPSRC-funded project (EP/X035778/1) for real-time semantic wave imaging in maritime safety Royal National Lifeboat Institution (RNLI)-funded studies on crew dynamics on lifeboats Development of stereo vision systems for ocean wave analysis Awards: Best Conference Paper Award at IEEE Conference on Intelligent Systems (2020) Labs & Teams: Part of the Centre of Excellence in Defence, Risk & Resilience. Collaborates on projects involving hydrodynamics, autonomous vessels, and human-centred marine transport design.

Alisha PradhanView profile

Assistant Professor

• Assistive Technology
• Human-Computer Interaction (HCI)
• Aging in Place
• +5 more

Alisha Pradhan is an Assistant Professor in the Informatics department at the New Jersey Institute of Technology (NJIT). Her research focuses on human-centered design of technologies for older adults and people with disabilities, emphasizing accessibility, inclusivity, and ethical considerations. She holds a Ph.D. in Information Studies from the University of Maryland-College Park (2022), an M.S. in Human-Computer Interaction (2018), and a B.Tech. in Industrial Design from National Institute of Technology (2015). Research Interests: Dr. Pradhan's work spans assistive technologies, voice interaction design for aging populations, inclusive AI systems, and participatory design methodologies with marginalized communities. Her current projects investigate the use of smart objects and voice assistants to support cognitive aging, while addressing challenges in technology adoption and ethical implications. She also explores sustainable makerspace models for older adults and co-design approaches with people living with dementia. Publications: Her recent work addresses voice assistant personalization for seniors, accessibility of smart home technologies, and frameworks for equitable AI development. Key topics include: ontological categorization of voice agents, multimodal interaction for memory support, and posthumanist perspectives in technology design. Grants & Awards: Active research funding includes NSF-supported projects exploring future-proofing smart technologies for age-related cognitive changes. She has developed curriculum modules integrating accessibility principles into design education. Labs & Collaborations: Maintains an active research website (https://www.alishapradhan.net/) documenting her work. Her lab collaborates with geriatric care organizations and technology firms to translate research into practical solutions for aging-in-place scenarios.

• Musculoskeletal Modeling
• Reinforcement Learning
• Exoskeleton Design
• +4 more

Xianlian Zhou is an Associate Professor in the Department of Bio-Medical Engineering at the New Jersey Institute of Technology (NJIT). His research focuses on musculoskeletal modeling, reinforcement learning applications in robotics, and exoskeleton design to enhance human performance. He collaborates extensively on interdisciplinary projects involving biomechanics, robotics control systems, and human-robot interaction. Key research areas include optimizing exoskeleton assistance for tasks like squatting and firefighting, developing neural network controllers for lower-limb rehabilitation exoskeletons, and predictive musculoskeletal simulations to study human balance and muscle activity. His work bridges computational modeling, machine learning, and biomechanical engineering. Recent publications highlight innovations in reinforcement learning-based control strategies, experiment-free exoskeleton design using simulations, and analyzing effects of wearable equipment on human kinematics. Media coverage emphasizes his contributions to AI-driven exoskeletons and their potential applications in healthcare and space exploration. Zhou's lab emphasizes translational research, with particular attention to applications in occupational safety, firefighter ergonomics, and assistive robotics. His team uses advanced modeling techniques like finite element analysis and inverse elastostatics alongside machine learning frameworks to solve complex biomechanical challenges.

Mark RentschlerView profile

Professor

• Medical Mechatronics
• Medical Device Design
• Surgical Robotics
• +5 more

Mark Rentschler is a Professor in the Department of Mechanical Engineering at the University of Colorado, Boulder. His research focuses on medical mechatronics, surgical robotics, and medical device design, with an emphasis on developing intelligent medical devices and robotic systems to improve patient care. His work includes optimizing surgical tools, modeling tool-tissue interactions, and advancing technologies for minimally invasive procedures. Rentschler holds positions in ECES 144 (office) and ECES 1B14 (lab), and oversees a research group dedicated to reducing surgical invasiveness and medical costs. His research interests span medical device innovation, soft robotics, and biomaterials. He has contributed to advancements in robotic capsule endoscopy, tissue fusion mechanics, and frictional adhesion in soft systems. Notable collaborations include projects on modular surgical devices and prototypes for communication between engineering stakeholders. Awards: ASME Fellow (2018) IEEE Senior Member (2018) University of Colorado Provost’s Faculty Achievement Award (2015) Top 5 Paper at IEEE International Conference on Robotics and Automation (2017) Rentschler’s work bridges academia and industry, with patents on medical devices like textured balloons and overtube assemblies. His interdisciplinary approach addresses challenges in surgical navigation, autonomous systems, and biomimetic robotics. Recent trends in his publications emphasize soft robotic actuators, smart composites, and deep learning applications in medical imaging. His teaching contributions include awards for excellence in both undergraduate and graduate education, reflecting his commitment to engineering education. The Rentschler Lab actively collaborates on projects funded by NSF and industry partners, focusing on synthetic tissue modeling and distributed sensing systems.

• Virtual Reality
• Immersive Technologies
• Human-Computer Interaction
• +3 more

Markus Zank is a Lecturer and Head of the IR Operations & Public Outreach Lab at the Lucerne School of Computer Science and Information Technology , part of the Lucerne University of Applied Sciences and Arts. His work bridges immersive virtual environments with practical applications in industry and education. Education: Bachelor of Science (ETH Zurich), Master of Science (ETH Zurich), PhD (ETH Zurich) Research Interests focus on Virtual Reality and Human-Computer Interaction , particularly Redirected Walking techniques, 3D Interaction methods, and User Movement Analysis in immersive environments. His projects apply VR to industrial planning (e.g., factory layouts), educational tools, and behavioral studies. Publications span locomotion prediction, geometry extraction for VR, and novel input systems. Themes include real-time navigation , kinesthetic feedback , and spatial cognition in virtual spaces. Key technologies involve SLAM , sensor fusion , and postural stability analysis . Professional Activities include an internship at Cassidian (Realtime Software Applications Group), co-founding Inspacion AG as CTO, and leading VR projects like Virtual Rotkreuz and Hybrid-Virtual Exhibition Palacetine . He teaches courses on Interaction for Virtual Reality and 3D Modelling for Realtime Applications . Contact: Office in Room S12.019 , Campus Zug-Rotkreuz, Lucerne University of Applied Sciences and Arts. Phone: +41 41 228 24 53.