Dr. June Yong is a Research Fellow in Applied Chemistry and Environmental Science at RMIT University, specializing in functional nanomaterials including perovskite nanocrystals, plasmonic nanoassemblies, and 2D oxides. Her research explores light-matter interactions for applications in optoelectronics, flexible biosensors, and photo/electro-catalysis. With a PhD from Monash University (2022), she has published over 27 papers in high-impact journals including Advanced Materials and ACS Nano, receiving the Royal Society of Chemistry's Horizon Prize in 2023. Current projects focus on developing 2D floating photothermal-photocatalytic devices for hydrogen production and bionic vision systems incorporating optoelectrical nanomaterials. Her research bridges nanotechnology, materials chemistry, and sustainable energy solutions, with recent publications demonstrating innovations in nanomaterial synthesis, characterization, and device integration.
Professor Arthur James Lowery (BSc, PhD) is a full-time faculty member at Monash University's Faculty of Engineering , specifically within the Department of Electrical and Computer Systems Engineering (ECSE). He holds the ARC Laureate Fellow distinction and has served as Head of Department (2007-2012). His research spans electro-photonics , optical OFDM , and brain-machine interfaces , with extensive work on photonic integrated circuits and fiber nonlinearity compensation . He leads major projects like COMBS: Centre for Optical Microcombs (2023-2029) and previously directed the Monash Vision Group for bionic eye development. His educational background includes a BSc (Hons) from Durham University and a PhD from Nottingham University . Current research focuses on high-capacity optical communication networks , energy-efficient photonic devices , and direct cortical vision restoration systems . Notable grants include a $72M ARC Centres of Excellence award (2022) and a $924k MRFF Frontiers grant (2019) targeting brain-machine interface commercialization. His Google Scholar publications (over 15 recent works) reveal a trajectory toward soliton microcomb applications , photonic neuromorphic computing , and low-latency optical processing . Awards include Fellowships from IEEE and ATSE , the Clunies Ross Award (2007), and the Peter Doherty Prize (2006). He actively seeks postdocs and graduate students for research in photonic chip design , optical signal processing , and brain-machine interfaces , with scholarships available. Scientific Honors : IEEE Fellow (2009), ATSE Fellow (2007), Clunies Ross Award (2007), Peter Doherty Prize (2006) Key Grants : $72M ARC (2022), $924k MRFF (2019), $440k ARC Discovery (2019), $500k MTPconnect (2018) Leadership Roles : Director of Monash Vision Group (2010-2017), CTO of Ofidium Pty Ltd His work bridges optical communications and biomedical engineering , with patents in optical OFDM and nonlinearity compensation. The Monash Vision Group's Gennaris cortical implant project exemplifies his translational research, aiming to restore vision through wireless cortical stimulation systems.
Prof. Dr. William M Megill is a Professor of Bionics at the Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences. He holds additional roles as Lecturer in Bionics at Bremen University of Applied Sciences and has held visiting appointments at institutions globally. His research focuses on underwater robotics, marine biology, and bionic engineering, with a particular emphasis on biomimetic designs inspired by aquatic life. He leads projects like the ENSPIRE submarine team and FabLab.blue, fostering student innovation through hands-on prototyping. Education: BSc (Physics) from McGill University, PhD (Zoology) from University of British Columbia. Professional experience includes roles at University of Bath, University of California, and research foundations. He collaborates internationally with teams in Europe and North America. Research interests include robotic fish propulsion, environmental monitoring via bio-inspired sensors, and ecological studies of coastal zones. His work bridges engineering and biology, with applications in conservation and robotics. He teaches courses on bionics, biomechanics, and marine bioresources, emphasizing experiential learning through laboratory exercises. Grants and projects involve marine robotics, beaver ecology, and flow sensing technology. His lab, CBNT Research Centre, develops submersibles and sensors for field deployment. The HSRW submarine team under his leadership has achieved international acclaim, winning European championships. Labs/Teams: CBNT Research Centre, ENSPIRE teams, and FabLab.blue. His work integrates academic research with practical engineering challenges, promoting interdisciplinary solutions for marine science and technology.
Dr. Hamed Rajabi Jorshari is a Senior Lecturer in Mechanical Engineering and Design at London South Bank University (LSBU), where he serves as the Director of the Mechanical Intelligence (MI) Research Group. He holds dual doctorates in Engineering and Natural Sciences and has published over 80 papers in top journals such as PNAS , Science Robotics , and Advanced Science . His interdisciplinary research bridges biology and engineering to develop bioinspired solutions in robotics, structural design, and materials. Research Interests: Biomechanics of insect flight, wings, and cuticle Bioinspired robotics and adaptive structures Lightweight and fracture-resistant designs Mechanical Intelligence (MI) for engineering innovation Structural reinforcement and deployable systems His recent publications reveal a strong focus on bioinspired tensegrity, compliant joints, insect wing morphometry, and adaptive robotics—demonstrating a consistent trend in translating biological mechanisms into functional engineering systems. His tools like WingGram and WingMesh are advancing computational modeling in biomechanics. Scientific Awards: KiNSIS Best PhD Dissertation Award (2020) Kiel Life Science Postdoctoral Award (2019) ISBE Distinguished Student Award (2017) IFIA Gold Medal for bio-inspired robotic joint Royal Academy of Engineering Global Talent Endorsement (2021) Dr. Rajabi has successfully supervised over 60 postgraduate students, including 15 PhD candidates, and secured multiple research grants as principal investigator. He is actively involved in science communication through the YouTube channel Science4Everyone . Laboratories and Teams: He leads the Mechanical Intelligence (MI) Lab at LSBU, which focuses on bioinspired design, soft robotics, and structural innovation. The lab includes PhD students, postdocs, and visiting researchers from institutions worldwide, and is equipped with advanced 3D printers, CNC laser cutters, mechanical testing machines, and high-speed cameras.
Nick Barnes is an Interim Director of the School of Engineering and Professor at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. He advises the Bandalang Studio and leads research in computer vision, prosthetic vision, and biomedical engineering. His work focuses on 3D vision, probabilistic methods, and saliency detection, with clinical applications in retinal prosthesis development and bushfire detection systems. Research interests include biological vision replication, prosthetic vision systems (e.g., Bionic Vision Technologies), and computer vision algorithms for medical devices. Collaborative projects involve partners like Optus Bushfire Research Centre, Bionic Vision Technologies, and CSIRO Health. His team’s recent work includes advancements in retinal prosthesis functionality (face/chair detection, obstacle avoidance), clinical trials, and AI-driven medical imaging (polyp segmentation, colonoscopy automation). Notable student achievements include Sahir Shrestha’s DICTA 2021 Best Paper Award and Cedric Scheerlinck’s JG Crawford Prize for PhD Thesis. Advising spans over 20 students across PhD and Master’s programs, with active collaborations on weakly supervised learning, point cloud analysis, and generative models. Key projects include ANU-Optus Bushfire Research and clinical trials for suprachoroidal retinal prostheses. Research outputs emphasize multimodal systems, uncertainty-aware algorithms, and biomedical applications, bridging computer vision theory with clinical and real-world deployment.
Michael Beyeler is Assistant Professor jointly appointed in Computer Science and Psychological & Brain Sciences at UC Santa Barbara, where he directs the Bionic Vision Lab. His research program investigates neural mechanisms of visual perception and develops sight-restoration technologies for conditions like retinitis pigmentosa and macular degeneration. The lab's interdisciplinary work combines computational neuroscience, virtual/augmented reality prototyping, and clinical applications. Research areas include: Predictive modeling of neural responses to electrical stimulation Perceptual learning in visual rehabilitation AI-enhanced visual accessibility systems Dr. Beyeler's team collaborates with clinical researchers to translate computational insights into improved prosthetic vision outcomes.
Stefanie Mueller is an **Associate Professor** in the Department of Electrical Engineering and Computer Science (EECS) at MIT, jointly appointed in Mechanical Engineering. She leads the **HCI Engineering Group** at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on **computational fabrication** and **human-computer interaction**, developing novel fabrication techniques that integrate hardware, materials, and algorithms to enable new forms of interaction with physical objects. **Education**: PhD in Computer Science (summa cum laude) from the Hasso Plattner Institute, Germany (2011–2016). **Affiliations**: Member of MIT CSAIL, TIBCO Career Development Professor, and holds joint appointments in EECS and Mechanical Engineering. She teaches courses like 6.810 (Engineering Interactive Technologies), 6.08 (Interconnected Embedded Systems), and 6.100 (Introduction to Computer Science and Programming). **Research Interests**: Her work spans reprogrammable materials (e.g., Photo-Chromeleon), interactive fabrication tools (LaserFactory, FlexBoard), health sensing (EIT-kit, MuscleRehab), and educational technologies (InStitches, Fabricaide). Her lab emphasizes democratizing fabrication through accessible tools and methods. **Awards & Recognition**: Includes MIT Technology Review's 'Innovators Under 35' (2022), Microsoft Research Faculty Fellowship (2020), NSF CAREER Award (2019), and numerous best paper awards at CHI/UIST conferences. She is a Sloan Fellow and has received MIT's Outstanding Educator Award (2018). **Grants & Funding**: Over $3.8M in funding from NSF, MIT initiatives, and industry partners like Accenture. She leads projects on adaptive interfaces, fabrication-aware design, and educational maker tools. **Outreach & Service**: Co-organized Rising Stars in EECS workshops to support underrepresented genders in academia. Served as program chair for ACM CHI and UIST, steering committee member for Computational Fabrication conferences, and advocate for diversity in STEM.
Dr. Yuval Elani is an Associate Professor in Biochemical Technologies at Imperial College London's Department of Chemical Engineering (Faculty of Engineering). He leads the Bioinspired Technologies Group, which focuses on synthetic cells, microfluidics, and biohybrid systems. His roles include Co-Director of the Membrane Biophysics Platform and Co-Founder of fabriCELL BIO. Elani earned his BA/MA from the University of Cambridge and his MRes/PhD from Imperial College London. His research spans synthetic cell design, biomimetic technologies, and therapeutic applications, with emphasis on biodegradable nanoparticles, cell-free systems, and microfluidic platforms. Education: BA/MA, University of Cambridge; MRes/PhD, Imperial College London Affiliations: Institute for Molecular Science and Engineering, fabriCELL BIO, Leverhulme Cellular Bionics Centre Elani's research interests include creating bioinspired systems for diagnostics, therapeutics, and energy. His group engineers biomolecular robots and synthetic cells capable of self-repair, decision-making, and environmental interaction. Key achievements include pioneering lipid nanoparticle design and securing grants from industry partners like GSK and AstraZeneca. His work has been recognized with awards such as the Roscoe Medal (2015), Rita & John Cornforth Medal (2017), and UKRI Future Leaders Fellowship (2020). Current projects recruit postdocs and PhD students in synthetic cell development and microfluidic technologies. The lab emphasizes interdisciplinary collaboration, diversity, and fostering early-career researchers. Notable Projects: Synthetic cell preservation strategies, vesicle-based molecular robots, and biohybrid engineered systems Elani's group actively collaborates with clinicians and industries to translate fundamental research into applications like drug delivery and biosensors. His vision is to bridge synthetic biology with engineering to solve global challenges in healthcare and sustainability.
Gang Li is a Lecturer in Human-Computer Interaction (HCI) at the University of Bath's School of Computer Science, affiliated with the Bath Institute for the Augmented Human. He holds a PhD in Brain-Computer Interface (BCI) from Pukyong National University (2016), following an M.Sc. in Computer Science (Pusan National University, 2010) and B.Eng. in Communication Engineering (Nanchang Aeronautical University, 2007). His postdoctoral training included cognitive neuroscience at the University of California, San Francisco (UCSF) and HCI at the University of Glasgow. His research focuses on VR-BCI integration, neuromodulation (e.g., tDCS, tACS), AI-driven closed-loop systems, and combating cybersickness through vestibular neuroscience insights. Research interests include neuroergonomics, neurorehabilitation, and wearable BCI systems. He teaches CM22013 Human-Computer Interaction 2 and supervises doctoral students in VR-BCI. External roles include serving as an invited editor for Advanced Intelligent Systems , program committee member for IEEE conferences, and reviewer for grants and top journals like CHI and IEEE VR. Recent work explores motion sickness mitigation in VR via facial action units and brain stimulation, as well as perceptual adjustments for in-car VR comfort. He leads efforts in bionic vision processing and metaverse integration through epiretinal implants. Collaborations span international institutions, with a focus on advancing human augmentation technologies aligned with UN Sustainable Development Goals.
Professor Arthur Lowery is a leading academic in optical communications and neuroengineering at Monash University. As a Professor and former Chair of the Department of Electrical and Computer Systems Engineering, he specializes in photonic design automation, bionic vision systems, and brain-machine interfaces. He founded VPIphotonics and Ofidium, companies commercializing optical communication technologies, and leads the Monash Vision Group developing a cortical bionic eye implant. Education: PhD in Laser Modeling, University of Nottingham (1988) BSc (Hons) in Applied Physics with Electronics, Durham University (1983) Research Interests: His work spans optical communications innovations like OFDM systems, electro-photonic interchanges, and neural prosthetics. Recent projects include a wireless multi-electrode cortical device for vision restoration and high-capacity optical networks using photonic integrated circuits. Publications & Awards: With over 350 publications and 15 patents, Arthur holds IEEE, ATSE, and IET Fellowships. Notable recognitions include the Clunies Ross Award (2007) and the Peter Doherty Prize for Innovation (2006). Grants & Collaborations: He leads the ARC Centre of Excellence for Integrative Brain Function and is a CI in the CUDOS Centre. Recent grants include $72M for optical microcomb research and $924k for cortical brain-machine interface commercialization. Labs & Teams: Directs the Monash Vision Group and Electro-Photonics Laboratory. Collaborates with institutions like The Alfred Hospital and Grey Innovation on bionic eye development.
Associate Professor Ajay Pandey holds an appointment at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He earned his PhD in Physics from the University of Angers, France, focusing on Molecular Semiconductor Heterojunctions. His career includes prestigious fellowships such as the QUT Vice Chancellor’s Senior Research Fellowship in Medical Robotics and an ARENA Research Fellowship in Next-Generation Photovoltaic Technology. Pandey leads research in Advanced Optoelectronics, Quantum Sensing, Medical Robotics, and Energy Up-Conversion. Research Interests: Pandey’s work spans Condensed Matter Physics, Molecular Electronics, Materials Robotics, and Neuroengineering. Recent projects include developing bio-inspired optoelectronic devices for applications in neuroscience, bionics, and robotic vision. He is a Program Leader at QUT's Centre for A Waste Free World and serves on the editorial board of Scientific Reports . Education: PhD in Physics (University of Angers) Awards: Bionics Innovation Award 2020, ARENA Fellowship, Vice Chancellor’s Fellowship Supervision: Has graduated 8 PhD and 2 M.Phil students, currently supervising 12 PhD candidates. Teaches Electronics in undergraduate engineering programs. Labs/Teams: Leads the Integrated Photonics and Quantum Sensing group. Collaborates with QUT's Centres for Materials Science and Biomedical Technologies. Research emphasizes interdisciplinary projects like robotic imaging systems for keyhole surgeries and energy-efficient photovoltaics.
Professor Marcello Rosa is a leading academic in Physiology at the Monash Biomedicine Discovery Institute, Monash University. His research focuses on understanding brain subdivisions related to visual perception, particularly in the context of the Monash Bionic Eye Project. He investigates visual cortex maturation, neural plasticity post-stroke, and novel brain cell discoveries. Rosa is a Primary Chief Investigator in multiple active projects, including 'Pathways to vision following lesions of the primary visual cortex' and 'Thalamic plasticity following cortical damage.' His work bridges neuroanatomy, neurophysiology, and computational modeling, contributing to sustainable development goals in health (SDG 3) and innovation (SDG 9). Education: Not explicitly detailed in text, but extensive academic contributions suggest advanced training in neuroscience. Rosa’s research interests revolve around visual system organization, including motion perception, cortical maturation, and post-damage recovery. He discovered two parallel maturation streams in the primary visual cortex and identified unexpected complex signal-processing cells in early sensory pathways. His work challenges traditional theories of neural processing hierarchy. Notable projects include exploring thalamic plasticity after cortical damage and analyzing brain-wide activity patterns. Collaborations span global institutions, emphasizing interdisciplinary approaches to neuroimaging and connectomics. Advising and grants highlight leadership in vision restoration projects and neuroplasticity studies. His lab focuses on marmoset models to study brain structure-function relationships, contributing to open-access resources like the Brain/MINDS Marmoset Connectivity Resource. Rosa’s research also addresses practical outcomes like bionic eye technology and understanding brain maturation’s impact on visual learning, bridging basic science and clinical applications.
Daniele Bernardini is a researcher at the School of Engineering and Design, Technical University of Munich (TUM), contributing to Healthcare and Rehabilitation Robotics under Prof. Cristina Piazza. He co-founded and leads Cognivix, a startup focused on industrial automation for high-variability/low-volume production. Education : M.Sc. in Theoretical Physics, University of Florence (1997) Ph.D. candidate in Computation, Information and Technology, TUM (since 2022) Research Focus : Robotic perception for manipulation tasks Deep learning in grasping systems 6D pose estimation techniques Photovoltaic energy management frameworks Recent Publication Trends : His 2022-2024 work spans robotics (6D pose estimation, bionic hands), machine learning (deep reinforcement learning), and energy systems (photovoltaic optimization), reflecting interdisciplinary efforts between AI and industrial applications.
Friedrich G. Barth is affiliated with the Department of Neuroscience and Developmental Biology at the University of Vienna and has been a Full Member of the Division of Mathematics and Natural Sciences of the Austrian Academy of Sciences since 1995. His research integrates neurobiology , biomechanics , and bionics to investigate arthropod sensory systems, particularly spider mechanoreception and insect-flower interactions. Key contributions span materials physics for biomimetic applications and sensory ecology in natural environments. Publications from 1985–2012 reveal an evolutionary trajectory from ecological studies toward bio-inspired engineering, with consistent focus on sensory transduction mechanisms and biomaterial applications. Major honors include: Oskar von Miller Preis, München Karl Ritter von Frisch Medaille Kardinal-Innitzer-Preis Preis der Stadt Wien für Naturwissenschaften Fellow, International Society for Bionic Engineering No information available regarding student supervision or research grants. Source text provides no details about laboratory facilities or research teams.
Csaba Benedek serves as a Full Professor at the Faculty of Information Technology and Bionics, Péter Pázmány Catholic University (PPKE ITK) in Budapest and Deputy Director for scientific coordination at the Hungarian Research Network Institute for Computer Science and Control (HUN-REN SZTAKI). He leads the Geo-Information Computing (GeoComp) research group within SZTAKI's Machine Perception Research Laboratory, where he holds the position of Scientific Advisor (DSc). Additionally, he serves as Vice Chairman of the John von Neumann Computer Society and represents Hungary in several international academic organizations including the International Association of Pattern Recognition. His academic credentials include: DSc (Doctor of the Hungarian Academy of Sciences) in Engineering Sciences (Information Science), October 2020 Dr. habil., October 2017, Pázmány Péter Catholic University Ph.D. in Image Processing with Summa cum Laude, June 2008 M.Sc. in Computer Sciences with honors, June 2004 Dr. Benedek's research focuses on the interpretation and reconstruction of dynamic urban scenes from LIDAR point cloud sequences using aerial measurements and mobile/terrestrial data. His work spans medical image analysis, remote sensing, and pattern recognition using probabilistic and machine learning approaches. He has published the book 'Multi-Level Bayesian Models for Environment Perception' through Springer in 2022. His research methodology emphasizes mathematical modeling, Bayesian approaches, hierarchical scene analysis, and stochastic optimization techniques for change detection and 3D/4D reconstruction. His major scientific recognitions include: Master Teacher Golden Medal (2023) Michelberger Master Prize (2020) Bolyai Plaquette (2019) IEEE Senior Member status (2018) Multiple Publication Awards from SZTAKI Janos Bolyai Research Fellowships As an academic advisor, Dr. Benedek has successfully supervised numerous PhD students including Attila Börcs (2018), Balázs Nagy (2020), and Yahya Ibrahim (2023), with several current PhD candidates. He has served as principal investigator for multiple Hungarian Scientific Research Fund (OTKA) projects and leads various National, EU-funded, EDA and ESA projects including the current ESA project 'AI based Fusion of Satellite/Airborne data for Biodiversity Change Characterization' (2023-2025) and NKFIA OTKA project (2022-2026). Dr. Benedek's GeoComp research group maintains extensive international collaborations with institutions including TUDelft in the Netherlands, Australian Centre for Field Robotics, CSIRO in Australia, DLR Oberpfaffenhofen in Germany, and University of Pisa in Italy. His team specializes in developing advanced techniques for urban scene perception, multisensorial spatial data analysis, and practical applications in urban planning, medical imaging, and defense technologies.
