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Dennis HongView profile

Professor

• Humanoids & Bipedal Robots
• Robot Locomotion & Manipulation
• Soft Actuators
• +4 more

Dennis Hong is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Los Angeles (UCLA). He leads the Robotics & Mechanisms Laboratory (RoMeLa), focusing on innovative robotic systems with applications in autonomous vehicles, humanoids, and soft actuators. University affiliation: University of California, Los Angeles Academic rank: Professor Department: Mechanical and Aerospace Engineering His research interests span: Humanoids & Bipedal Robots Soft Actuators Autonomous Vehicle Systems Kinematics & Mechanism Design Recent publication trends emphasize humanoid locomotion, adaptive robotic platforms, and bio-inspired actuation systems. Notable collaborations include development of advanced soccer-playing robots (Team CHARLI) and accessibility-focused autonomous vehicles. Scientific recognition includes: 2016 URAI Best Paper Award 2015 Hyupsung Social Contribution Award 2015 RoboCup Winner Media coverage highlights his work on humanoid robots (2025 Netflix collaboration), disaster response robotics (2023), and innovations in robotic mobility systems (2022-2025).

• Computational Methods
• High Performance Computing
• Cloud Computing
• +3 more

Professor Simon Cox is a Professor of Computational Methods and Director of the Microsoft Institute for High Performance Computing within the Faculty of Engineering and Physical Sciences at the University of Southampton. He holds a doctorate in Electronics and Computer Science, complemented by first-class degrees in Mathematics and Physics. His research focuses on computational tools and platforms, particularly in high-performance computing, cloud computing, and interdisciplinary applications in engineering and science. He has secured over £30 million in research and enterprise funding, published over 250 papers, and is a Microsoft Most Valuable Professional since 2003. Research interests include computational electromagnetics, meshless methods, and data management. His team, the Computational Engineering and Design Group, develops high-performance computing systems and commercial distributed computing solutions. Notable projects include a Raspberry Pi and Lego-based supercomputer and a spin-off company from computational electromagnetics research. He actively supervises PhD students in Engineering and Environmental Science. Key awards include the Microsoft MVP title. His work spans environmental monitoring (e.g., methane sensors, IoT-based peatland tracking), cybersecurity for IoT devices, and biomedical applications like 3D X-ray histology. He leads outreach initiatives, including the 'Supercomputing in Engineering Course' since 2005.

Nyangi GityamwiView profile

Research Fellow

• Digital Health
• Nutritional Sciences
• Public Health
• +3 more

Dr. Nyangi Gityamwi is a Research Fellow at the University of Surrey's School of Health Sciences. He holds a PhD in Nutritional Sciences from the University of Surrey (2015), following a BSc and MSc in Human Nutrition from Sokoine University of Agriculture, Tanzania. His research focuses on digital health interventions for long-term conditions, emphasizing equity and inclusion for disadvantaged groups. He has explored nutrition, body composition, and inflammation in haemodialysis patients and pioneered studies on exercise interventions and digital health tool development. Key projects include evaluating digital health methodologies for chronic diseases and developing the DAVIT tool to enhance domestic abuse data collaboration. He has been funded by the Commonwealth Scholarship Commission, Schlumberger Foundation, HEIF, and NIHR ARC Kent Surrey and Sussex. His work bridges clinical practice, technology, and public engagement to improve healthcare accessibility and outcomes. Awards include the Commonwealth Scholarship (2015) and Schlumberger Foundation Fellowship (2018). He contributes to expert groups like the Digital Health and Long-term Conditions and Ageing Expert Groups at Surrey.

Peter AlonziView profile

Assistant Professor

• Criminal Justice
• Mental Health
• Data Science
• +3 more

Peter Alonzi is an Assistant Professor of Data Science at the University of Virginia's School of Data Science, appointed in 2022. He previously served as lead of research computing and held a postdoctoral position at the University of Washington. His research focuses on the intersection of mental health and criminal justice, with additional expertise in particle physics. Alonzi collaborates across disciplines, partnering with the School of Engineering, School of Medicine, and Darden School of Business on projects addressing societal challenges. He teaches courses like Data Wrangling in Python and Physics, and leads educational initiatives for the M.S. in Data Science program. Education: Ph.D. in Physics (University of Virginia), B.S. Physics (College of William and Mary, Magna Cum Laude) Labs: Paul Scherrer Institute, Fermilab, Oak Ridge National Laboratory, Jefferson Lab, TRIUMF Teaching Roles: Orientation leader, capstone project coach, curriculum committee co-chair Alonzi's research explores criminal justice system inefficiencies, mental health service integration, and data-driven policy solutions. His work combines advanced computational methods with interdisciplinary collaboration. Recent projects analyze electronic incarceration efficacy, mental health screening in correctional facilities, and pandemic-era justice system adaptations. His technical contributions include deep learning fraud detection models and particle physics instrumentation designs. Despite no explicitly listed awards, his collaborative approach and applied data science focus reflect sustained academic engagement.

Noura HowellView profile

Assistant Professor

• Ethical AI
• Emotion AI
• Design Futuring
• +4 more

Noura Howell is an Assistant Professor in the School of Literature, Media, and Communication at the Georgia Institute of Technology. Her work focuses on ethical AI, emotion AI, and design futuring, emphasizing inclusivity and critical reflection through artistic and technical explorations. She holds a PhD in Information & Management Systems from UC Berkeley and a BS in Engineering from Olin College. Research interests include biosensing technologies, queer/crip design methodologies, and the intersection of embodiment with emerging technologies. Notable projects include the Future Feelings Lab, which critiques emotion AI through participatory audits and fabulative design practices, and investigations into thermal feedback systems and Sufi spiritual practices mediated by technology. Awards include an NSF CAREER Award for reimagining emotion AI, a Google TensorFlow Faculty Award for educational outreach, and the Ralph E. Powe Junior Faculty Enhancement Award. Teaching spans computational media, interaction design, and design futuring courses. Her lab explores speculative design through projects like the Heart Sounds Bench (life-affirming biosensing) and Salaam, an inflatable sculpture addressing Islamophobia. She has collaborated on interdisciplinary STEAM education initiatives like PREMIER artist residencies.

• Distributed/Parallel Computing
• Information Visualization
• Fault-Tolerant Communication Mechanisms
• +4 more

Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.

Andrew McPhersonView profile

Professor

• Music Computing
• New Interfaces for Musical Expression
• Digital Signal Processing
• +3 more

Andrew McPherson is a Professor of Musical Interaction at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science and the Centre for Multimodal AI. He leads the Augmented Instruments Laboratory, a research team focused on music technology and interdisciplinary collaboration. His work bridges electrical engineering, composition, and human-computer interaction, emphasizing the creation of new tools for musicians through hardware/software interfaces and expressive performance modeling. McPherson's research interests include augmented instruments, digital signal processing, and the design of intuitive musical interfaces. He has pioneered projects like the Bela embedded platform and the Magnetic Resonator Piano, emphasizing practical applications in traditional and experimental music venues. Collaborations with artists and industry inform his approach, ensuring research outputs are artistically relevant and accessible. Education & Expertise: Trained in electrical engineering and composition, McPherson combines technical proficiency with artistic sensibility. His lab’s projects, such as the TouchKeys and hackable instruments, highlight his focus on democratizing music technology. Grants & Awards: He holds a Royal Academy of Engineering Senior Research Fellowship (2021–2026) and an ERC Consolidator Grant (2023–2027). He co-leads the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, fostering future researchers in AI-driven music innovation. Labs/Teams: The Augmented Instruments Lab collaborates across disciplines, with dual affiliation at Queen Mary and Imperial College London’s Dyson School of Design Engineering. The lab’s work spans from foundational research to industry partnerships, including spinout company Augmented Instruments Ltd, which supports maker communities and industry consultancy.

Tony StockmanView profile

Senior Lecturer

• Human-Computer Interaction
• Auditory Displays
• Data Sonification
• +3 more

Dr. Tony Stockman is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His teaching focuses on Database Systems, Interaction Design, and Semi-structured Data Modelling across undergraduate and postgraduate programs. His research interests include Human-Computer Interaction, Auditory Displays, and Data Sonification, with a strong emphasis on accessibility and cross-modal interfaces. Dr. Stockman has contributed to over 100 publications, exploring topics such as biofeedback systems, assistive technologies for visually impaired individuals, and collaborative design methodologies. His work frequently bridges technical innovation with user-centric design principles. Notable projects include the development of non-visual navigation tools like the Audiom web-based map viewer and co-designed haptic wearables for music synchronization. His research also addresses challenges in education technology, such as dyslexia screening through serious games.

Anne McLaughlinView profile

Professor

• Human Factors Engineering
• Cognitive Aging
• Applied Cognitive Psychology
• +3 more

Anne McLaughlin is a Professor in the Department of Psychology at North Carolina State University, affiliated with the College of Humanities and Social Sciences. She directs the LACElab (Learning, Aging, and Cognitive Ergonomics), focusing on human factors, cognitive aging, and technology usability. She holds a Ph.D. in Engineering Psychology from Georgia Tech (2007) and has been at NC State since 2007. Her education includes a B.A. in Psychology and English Literature from Trinity University (1998), an M.S. in Engineering Psychology from Georgia Tech (2003), and her Ph.D. from the same institution (2007). Her research integrates cognitive science principles with real-world applications, emphasizing aging populations and technology design. Key research interests include cognitive aid design, augmented/virtual reality applications, human-robot interaction, and medical device usability. Recent work explores diminished reality techniques for attention management, trust dynamics in autonomous systems, and veterinary patient safety culture. Her articles highlight trends in human-centered technology development, particularly addressing individual differences in attention control, automation trust, and healthcare system optimization. She advocates for inclusive design principles to enhance older adults' engagement with technology and improve medical screening accessibility. McLaughlin’s work bridges academic research and practical implementation, with collaborations in healthcare, robotics, and educational technology. Her lab’s focus on aging-related challenges underscores her commitment to improving quality of life through human-centered solutions.

Pavol FederlView profile

Assistant Professor

• Computational Biology
• Computer Graphics
• Biological Modeling
• +4 more

Pavol Federl is an Assistant Professor (Teaching) in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on computational modeling in biological systems, particularly plant growth, fracture mechanics, and interdisciplinary applications of L-systems. He holds a PhD (2002), MSc (1997), and BSc (1995) in Computer Science from the University of Calgary. Research Interests Biological modeling using L-systems Fracture formation in growing materials Computer graphics and interactive simulation environments Plant growth dynamics and pattern formation His work integrates mathematical modeling with computational techniques to study natural phenomena, such as leaf venation patterns and tree bark fracture. Recent research highlights include: Developmental models of multicellular structures Finite element analysis of fracture dynamics Interactive design tools for bonsai tree modeling Grants and Advising No specific grants or advisees are listed in the provided text. His teaching includes courses such as CPSC 457: Principles of Operating Systems. Professional Contributions He has contributed to software development in virtual laboratories and license plate recognition systems, demonstrating expertise in both theoretical and applied computing.

Michele WalshView profile

Professor

• Public Health
• Community-Based Research and Evaluation
• Health Disparities
• +3 more

Michele Walsh, Ph.D., is a Professor in the Department of Human Development & Family Science at the University of Arizona’s Norton School of Human Ecology. She serves as the Associate Director of Cooperative Extension Family, Consumer and Health Sciences and an Evaluation Specialist. Her work focuses on community-based research and evaluation, particularly addressing health disparities and wellness in rural and marginalized populations across Arizona and the Southwest. Walsh leads the Norton School’s Community Research Evaluation & Development (CRED) Team, which partners with tribal communities, governments, schools, and nonprofits to produce actionable data for program and policy decisions. She is affiliated with the Department of Psychology and the Institute for LGBT Studies. Her research emphasizes social and cultural determinants of health, rural health equity, and applied social measurement. Recent work includes evaluations of the Drug Treatment Alternative to Prison Program, a transgender youth intervention, and the First Things First Regional Needs and Assets Reports. She also explores kindness education in schools and caregiving challenges during the pandemic. Walsh’s publications span public health, education, and sociology, with a focus on translating research into practical solutions. She collaborates with diverse stakeholders to ensure community voices shape policy and practice.

Laura HarperView profile

Senior Lecturer

• Architecture
• Urban Design
• Materials Science
• +8 more

Dr Laura Harper is a Senior Lecturer in the Department of Architecture at Monash University, part of the Faculty of Art, Design and Architecture. She holds a PhD in Architecture from Monash (2018), with research focusing on material systems, urban geology, and sustainable design. Her work bridges academic research and professional practice, including collaborations with firms like NMBW Architecture Studio and Roland Snooks. Research Interests: Laura explores material processes and their connections to urban environments, particularly geological influences on cities. Key areas include the 'Afterlife of Mines,' urban fringe quarries, and Indigenous-led water design. She leads projects like the Repair of Memory and Place collaboration with the Boon Wurrung Foundation and Melbourne Water. Projects and Grants: Current projects include the Monash Urban Lab's 20-Minute Neighbourhoods initiative and funded work with the NSW Government's Building 4.0 CRC. She has contributed to significant built works such as the award-winning Box Hill Gardens (AIA Urban Design Award 2014) and Point Lonsdale House (AIA New Residential Award 2016). Awards: Laura and her teams have received multiple architecture awards, including the 2016 National Architecture Award for Residential Architecture and the 2023 ArchitectureAU Social Impact Commendation for St Albans Housing . Teaching and Practice: Laura teaches at Monash while practicing collaboratively with Roland Snooks, exploring advanced manufacturing and material innovation. She is a graduate research supervisor and actively participates in public lectures and exhibitions.

Amir Tofighi ZavarehView profile

Assistant Professor

• Biomedical Engineering
• Medical Device Design
• Signal Processing
• +4 more

Amir Tofighi Zavareh is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, specializing in Electronic Systems Engineering Technology. He is affiliated with the Center for Remote Health Technologies and Systems and Biomedical Engineering. His research focuses on analog and mixed-signal bioelectronic design, biomedical imaging, and wearable technology for healthcare applications. Dr. Tofighi Zavareh earned his Ph.D. in Electrical and Electronics Engineering from Texas A&M University in 2019. His work bridges biomedical engineering and signal processing, with a strong emphasis on developing innovative medical devices and wearable systems for real-time health monitoring. His research interests include wearable biosensors, machine learning-driven diagnostics, and improving mental health support in educational settings through technology. Notable projects involve eye-tracking metrics for online learning accessibility and stress-alleviation systems using emotion recognition. His publications span advancements in optical coherence tomography (OCT), retinal imaging systems, and AI-powered mental health tools. He collaborates across disciplines to address challenges in healthcare technology and education equity.

• Distributed Systems
• Computer Networks
• Middleware
• +13 more

Antonio Corradi is a Full Professor of Computer Networks and Infrastructures supporting Cloud and Big Data at the University of Bologna's School of Engineering, within the Department of Computer Science - Science and Engineering. His roles include President of the regional CLUSTER RER for service innovation, President of the Alma Mater FAM Foundation, and Director of the UNIBO High Studies Center in Buenos Aires. He previously served as Director of the DISI department (2018–2021) and International Delegate for Latin America (2014–2018). His research focuses on distributed systems, middleware for pervasive computing, cloud solutions, mobile systems, smart cities, Industry 4.0/5.0, and 5G communication standards. Education: Laurea cum laude in Electrical Engineering (University of Bologna, 1979) and a Master's in Computer Engineering from Cornell University (1981, supported by a Fulbright-Hayes grant). He joined the University of Bologna as a Researcher in 1983 and became Full Professor in 2000. Research interests span distributed/parallel systems, middleware for mobile agent systems, cloud computing, smart city monitoring, and Industry 4.0 protocols. He emphasizes QoS-aware solutions, edge computing, and IoT integration. His work includes designing frameworks for big geospatial data and novel architectures for serverless and fog computing environments. Selected scientific awards include the 1980 'Cavalieri del Lavoro' prize for his thesis. He actively contributes to institutional duties, including the CCIB (Computer Services Centre of the Engineering School) and CINI Bologna University Section (Italian Interuniversity Consortium). In advising and grants: He coordinates PhD programs and has led projects funded by MIUR, CNR, and European initiatives. Notable collaborations include industry grants with Jakala, OTConsulting, ENAV-Sicta, and the Zefiro Consortium. His projects address challenges in energy efficiency, smart manufacturing, and healthcare management during crises. Labs/Teams: Developed platforms like SOMA and REDMAN middleware. Involved in initiatives such as ParticipAct (mobile crowdsensing), COLOMBO (vehicular traffic monitoring), and the Audit4Cloud platform for cloud performance auditing.

John ShawView profile

Lecturer

• Cognitive Psychology
• Developmental Psychology
• Sleep and Learning
• +3 more

John Shaw is a Lecturer in Psychology at Edge Hill University since July 2023. Previously, he held roles at De Montfort University (2019-2023) and Aberdeen University (2018-2019). He is a Chartered Psychologist with the British Psychological Society, holding a PhD in Psychology from Lancaster University (2018). His teaching responsibilities include modules such as Developmental Psychology and Work Placement Supervision for undergraduate and postgraduate students. Education: PhD in Psychology, Lancaster University (2014–2018) MSc in Psychological Research Methods, Lancaster University (2013–2014) BSc in Organisation Studies & Psychology, Lancaster University (2010–2013) Shaw’s research focuses on sleep’s role in cognitive development, including how sleep impacts social media effects on preadolescents, numerical cognition, autism spectrum disorder (ASD) ownership perception, and neurodiversity advocacy in academia. He collaborates with FORRT (Forum for Research into the Education of Autistic and Neurodivergent Talents) to promote inclusive academic practices, securing a grant from the Society for the Improvement of Psychological Science to create a neurodiverse author database. His publications span cognitive psychology, developmental psychology, and open science advocacy. Notable work includes studies on sleep’s effect on memory consolidation, ASD ownership identification, and neurodiversity in academia. He emphasizes participatory research methodologies and open scholarship to enhance scientific rigor and inclusivity. Grants: Awarded a grant from the Society for the Improvement of Psychological Science (2023) to develop a database of neurodiverse authors. Career Trajectory: Shaw’s work bridges empirical research with educational practice, advocating for neurodiverse representation and reproducible science. He actively contributes to policy discussions on academic inclusivity and open access publishing.