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Gemma RoigView profile

Professor

• Computer Vision
• Artificial Intelligence
• Neuroscience
• +7 more

Gemma Roig is a Professor of Brain-inspired Artificial Intelligence at the Computer Science Department of Goethe University Frankfurt since 2020. She holds an honorary research affiliate position at MIT's Center for Brains Minds and Machines and is a member of hessian.ai. Her research focuses on computational models of human vision and their application to AI systems. Previously, she served as an Assistant Professor at Singapore University of Technology and Design (SUTD) and conducted postdoctoral research at MIT, exploring connections between AI and neuroscience. Education: BEng and MSc in Telecommunication Engineering from Ramon Llull University (Barcelona), PhD in Computer Vision from ETH Zurich, and extensive postdoctoral training at MIT and EPFL. Career highlights include establishing a research group in Singapore and securing a tenure position in Frankfurt after relocating for family reasons. Research interests span computational vision, neural networks, and the intersection of AI with human cognition. She leads the CVAI lab, developing tools like Net2Brain to bridge artificial and biological neural systems. Her work emphasizes ethical AI, explainability, and multimodal learning. Labs/Teams: Director of the CVAI lab; collaborator with MIT's CBMM and Ernst Strüngmann Institute. Active in interdisciplinary projects like the Algonauts Challenge. Supervises 10+ PhD students and postdocs in topics ranging from neuro-symbolic AI to molecular dynamics simulations. Grants & Funding: Supported by DFG, ERC, and DAAD scholarships. Net2Brain receives funding from German Research Foundation (DFG) and European Research Council (ERC).

John FarnsworthView profile

Associate Professor

• Fluid Dynamics
• Aerodynamics
• Flow Control
• +5 more

John Farnsworth is an Associate Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He serves as Director of the Aerospace Mechanics Research Center (AMReC) and the Research and Engineering Center for Unmanned Vehicles (RECUV). His expertise lies in experimental fluid dynamics, particularly in flow control, unsteady aerodynamics, and wind tunnel testing. Farnsworth holds a PhD, MS, and BS in Aeronautical Engineering from Rensselaer Polytechnic Institute (2011, 2007, 2006). His research focuses on image-based flow velocimetry, fluid-structure interaction, and biologically inspired flight. Notable contributions include studies on wind turbine aerodynamics, synthetic jet dynamics, and stall flutter mechanisms. He has developed novel wind tunnel systems like the WindCline for wildfire combustion analysis and the unsteady low-speed wind tunnel with louver systems. Awards include the Michael A. Sadowsky Prize (2007) and NSF Graduate Fellowship Honorable Mention (2006–2007). His work bridges computational and experimental methods, emphasizing practical applications in aerospace systems and environmental fluid dynamics. Key collaborations include investigations into wind turbine blade aerodynamics under varying inflow conditions and active flow control strategies for flexible wings. His labs emphasize interdisciplinary approaches to address challenges in aerodynamics, propulsion, and unmanned vehicle systems.

Lianhua ChiView profile

Lecturer

• Big Data Analytics
• Artificial Intelligence in Healthcare
• Machine Learning
• +7 more

Lianhua Chi is a Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Melbourne, Australia, since February 2018. He holds a dual PhD in Machine Learning and Data Mining from the University of Technology Sydney (Australia) and Huazhong University of Science and Technology (China). Before joining academia, he worked as a Postdoctoral Researcher at IBM Research Australia on Watson Education and Health, and as a Data Specialist at the University of New South Wales (UNSW). His research focuses on big data analytics, particularly in healthcare applications, AI-driven Autism Screening, and hashing techniques for real-time data processing. Chi has received notable awards including the 'Young Global Changer' title from G20/T20 Germany, 'Top 200 Young Researchers Globally' by the Heidelberg Laureate Forum, and the IBM External Honors award. Education: PhD in Machine Learning and Data Mining (2015), University of Technology Sydney & Huazhong University of Science and Technology Previous roles: Postdoc at IBM Research Australia, Visiting Researcher at UTS Research Interests: Chi’s work emphasizes adaptive hashing algorithms, graph stream classification, geolocation prediction in social media, and time series analysis. He applies these techniques to healthcare challenges such as AI-based Autism Screening and medical imaging diagnostics. His methodologies prioritize scalability and real-time adaptability. Awards & Grants: Best Paper Award (PAKDD13) Romberg Grant (Heidelberg Laureate Forum, 2016) Innovation Connection Grant (NostraData, 2022–2023) Advising & Collaborations: Chi has collaborated with Harvard Medical School’s Gehlenborg Lab and led projects on healthcare AI and cybersecurity. His work integrates advanced hashing techniques with clinical data to improve diagnostic accuracy and patient care efficiency. Labs/Teams: Active in interdisciplinary teams focusing on AI ethics, healthcare analytics, and big data security at La Trobe University.

Dick BotteldoorenView profile

Professor

• Acoustic Modeling
• Noise Mapping
• Environmental Sensor Networks
• +8 more

Dick Botteldooren is a full Professor of Acoustics at Ghent University, Belgium, leading the WAVES (Wireless, Acoustics, Environment & Expert Systems) research unit. He serves as I-INCE vice-president for Europe and Africa and previously held leadership roles as Editor-in-Chief of Acta Acustica (2004-2013) and president of the Belgian Acoustical Society (until 2018). His educational background includes: MSc in Electronic Engineering (1986, Ghent University) PhD in Applied Science (1990, Ghent University) Professor Botteldooren's research spans acoustic modeling, noise mapping, environmental sensor networks, computational intelligence, and human-inspired machine listening. His work integrates biomonitoring (particularly EEG), health impact assessment of sound, urban sound planning, and soundscape design with strong policy implications. Recent focus areas include AI-driven analysis of animal vocalizations and therapeutic soundscape design for dementia care. Analysis of his 2021-2025 publications reveals three dominant trends: (1) Machine learning applications in bioacoustics (especially broiler chicken vocalization monitoring for welfare assessment), (2) EEG-based attention detection systems using spiking neural networks and cross-modal transfer, and (3) Soundscape augmentation for dementia care through auditory processing-driven environmental interventions. His work consistently bridges computational methods with real-world acoustic challenges. His scientific recognition includes: Fellow of the Acoustical Society of America Professor Botteldooren has advised national and international health councils and noise policymakers, translating research into practice. His work has received sustained funding from the Belgian National Fund for Scientific Research and other international bodies, supporting both fundamental acoustics research and applied policy development. The WAVES research unit under his leadership conducts interdisciplinary work combining wireless sensor networks, computational intelligence, and human-centered acoustics, with active projects in urban noise monitoring, bioacoustic surveillance, and neuroacoustic applications.

Anne JonesView profile

Professor

• Electrocatalysis
• Biological Electron Transfer
• Hydrogenase Research
• +3 more

Anne Jones is a Professor at Arizona State University (ASU) within the School of Molecular Sciences under the College of Liberal Arts and Sciences. She also serves as Vice Provost for Undergraduate Education, leading university-wide curriculum initiatives and student success projects. Her academic career spans roles as Associate Director of the School of Molecular Sciences and co-leader of the first online biochemistry degree in the U.S. Doctorate: D. Phil. in Inorganic Chemistry (Rhodes Scholar/NSF Fellow) - University of Oxford, UK (2002) Undergraduate: B.Sc. in Chemistry and Mathematics (summa cum laude) - University of the South, TN (1998) Her research focuses on redox enzymes and their synthetic counterparts, primarily in electrocatalysis, biological electron transfer, and artificial photosynthesis. She explores: Redox enzyme catalytic mechanisms Re-engineering enzymes for fuel cells and biosensors Multifactorial redox cofactor interactions De novo redox enzyme design for electronic/biomedicine applications Her publications cover hydrogenase research, electron bifurcation, and bioelectrochemical systems. Techniques include molecular biology, protein electrochemistry, FTIR, CD, and computational modeling. Scientific honors include: Alexander von Humboldt Fellowship DOE Faculty Early Career Award (2012-2017) AFOSR Young Investigator Award (2007-2011) ASU Founder’s Day & Zebulon Pearce Teaching Awards NSF Graduate Fellowship She has secured funding from NSF, DOE, DoD, and private foundations for bioenergy research and educational innovation. Her laboratory develops systems for: Transparent gold spectroelectrochemistry Peptide-based hydrogenase models Electroactive protein platforms CO2 reduction catalysts Biophotovoltaic fuel cells Electron bifurcation studies

Saman ZonouzView profile

Associate Professor

• Cyber-Physical Systems Security
• Critical Infrastructure Protection
• Embedded Systems Security
• +7 more

Saman Zonouz is an Associate Professor at Georgia Institute of Technology with joint appointments in the School of Electrical and Computer Engineering and the School of Cybersecurity and Privacy. He joined Georgia Tech in 2022 after prior roles at Rutgers University and the University of Miami. His research focuses on cybersecurity and privacy in cyber-physical systems, particularly critical infrastructures such as power grids and industrial control systems. Zonouz holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2011) and a B.Sc. from Sharif Institute of Technology (2006). His work bridges theoretical computer science with practical engineering challenges, emphasizing resilience, attack detection, and physical-layer security. His research interests include attack detection in cyber-physical systems, embedded systems security, side-channel attacks, and resilient distributed control strategies. Recent trends in his publications highlight advancements in hardware implant detection, stealthy supply chain attacks, and cross-domain resilience frameworks for modern power systems. Zonouz has received prestigious awards including the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF CAREER Award, and NSA Significant Research Recognition. His work often involves collaborations with industry and government agencies to address real-world cybersecurity challenges. He has led projects funded by NSF, AFOSR, and Google, focusing on topics like trustworthy additive manufacturing, privacy-preserving IoT systems, and cyber-informed engineering education. His lab develops tools such as OpenConduit for power system simulation and Guide-Guard for bioengineering applications.

Marco SantelloView profile

Professor

• Neural Engineering
• Motor Control
• Haptics
• +3 more

Marco Santello is the Fulton Professor of Neural Engineering at Arizona State University's School of Biological and Health Systems Engineering within the Ira A. Fulton Schools of Engineering. He directs the Neural Control of Movement Laboratory and previously served as Harrington Endowed Chair and Director of his department (2012–2022). He leads the NSF Industry/University Cooperative Research Center BRAIN and the Science and Technology Center in Human Performance. His research focuses on human performance, motor control, haptics, and rehabilitation engineering, employing techniques like TMS, EEG, and virtual reality. Education: B.Sc. Kinesiology, Università di L'Aquila, Italy (1990) Ph.D. Neurophysiology of Motor Control, University of Birmingham, UK (1995) Postdoctoral training, University of Minnesota (1995–1999) Research Interests: His work explores sensorimotor integration, multi-digit grasping, and neural control mechanisms in conditions like Parkinson's disease and carpal tunnel syndrome. He investigates how tactile feedback and neuromodulation (e.g., TMS, tFUS) influence motor performance. Grants & Leadership: Supported by NIH, NSF, DARPA, Mayo Clinic, and Google. Leads interdisciplinary initiatives in neurotechnology and rehabilitation engineering. Serves on editorial boards for Neuroscience , Biomedical Engineering , and others. Labs & Teams: Director of the Neural Control of Movement Lab and collaborative centers focused on human performance and neurotechnology. His work bridges robotics, neuroscience, and clinical applications to advance prosthetics and rehabilitation strategies.

Somayeh HussainiView profile

Research Fellow

• Robotics
• Computer Vision
• Neuromorphic Computing
• +4 more

Dr. Somayeh Hussaini is a Research Fellow at the QUT Centre for Robotics, Queensland University of Technology (QUT). She holds a Bachelor of Engineering (Honours) in Mechatronics from QUT (First Class Honours, 2020). Her research focuses on robotics, computer vision, and neuromorphic computing, particularly in developing biologically-inspired spiking neural networks for scalable visual place recognition. She has published at leading conferences like ICRA and IEEE Robotics and Automation Letters (RAL), and her Honours work earned the IEEE Best Thesis Award (2020). Her current projects involve adaptive robot localization, neuromorphic computing applications, and spike-based visual systems using Intel’s Loihi chip. Key contributions include sequence-matching algorithms for place recognition and hyperdimensional descriptors for scalable navigation systems. Her work bridges biological neural principles with robotic autonomy. Education : BEng (Honours) Mechatronics, QUT (2020) Awards : IEEE Best Final Year Thesis Award (2020) Advising : Supervised by Dr. Tobias Fischer and Prof. Michael Milford during her PhD. Lab Affiliation : QUT Centre for Robotics research group.

Kaushik SinhaView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Optimization
• +5 more

Kaushik Sinha is an Associate Professor at the School of Computing, Wichita State University, part of the College of Engineering. His research focuses on machine learning, optimization, algorithms, and their applications in health informatics. He holds a PhD in Computer Science from Ohio State University and completed a postdoctoral fellowship at UC San Diego under Sanjoy Dasgupta and Kamalika Chaudhuri. His professional activities include serving as an Associate Editor for Neurocomputing (2015–2017) and Technical Program Committee member for conferences like KDD, ICML, and AAAI. He is an affiliated researcher at the Institute for Foundations of Machine Learning (IFML). Dr. Sinha actively mentors PhD students in theoretical and applied machine learning. He currently offers two PhD positions for Fall 2025 focusing on algorithm analysis and applied machine learning, requiring strong mathematical or programming backgrounds. His work emphasizes both foundational research and practical applications, including federated learning, nearest neighbor search, and health data analysis.

• Human-Computer Interaction
• Artificial Intelligence
• Robotics
• +4 more

Prof. Jessica Cauchard is a Full Professor in the Department of Computational Perception and Reality at TU Wien. Her research focuses on Visual Computing, Human-Centered Technology, and Human-Robot Interaction, with emphasis on drones, affective computing, and wearable systems. She leads the Artifact-based Computing and User Research group and teaches courses in interface design, human-centered computing, and project supervision. Her work bridges technical innovation with user-centric design, addressing challenges in emergency response (e.g., firefighting drones), cross-cultural technology adoption, and emotional interaction with autonomous systems. Key research areas include human-drone collaboration, trust in automation, and affective robotics. Recent publications explore drone applications in firefighting, emotion regulation in robotics, and culturally adaptive HCI. She actively participates in international conferences like MobileHCI and AutomationXP, contributing to both technical and ethical aspects of emerging technologies. Prof. Cauchard's research integrates multidisciplinary methods from computer science, cognitive science, and design studies. Current projects investigate drone safety protocols, expressive robot behavior, and the socio-technical impact of aerial vehicles in public spaces.

Steve BruntonView profile

Professor

• Machine Learning
• Fluid Dynamics
• Control Systems
• +5 more

Steve Brunton is the James B. Morrison Endowed Career Development Professor in Mechanical Engineering at the University of Washington, with an adjunct appointment in Applied Mathematics. He leads the Brunton Lab, focusing on data-driven discovery of dynamical systems, machine learning, and control strategies for complex systems. His research integrates techniques like dimensionality reduction, sparse sensing, and adaptive controllers in an equation-free context. Key areas include fluid dynamics (turbulence control, bio-locomotion, renewable energy), neuroscience, medical data analysis, and networked systems. Education: PhD in Mechanical and Aerospace Engineering (Princeton University, 2012); B.S. in Mathematics (Caltech, 2006). Awards: APS Fellow (2020) for contributions to fluid dynamics modeling and control. Publications: Over 100 peer-reviewed articles, including influential works on SINDy (Sparse Identification of Nonlinear Dynamics), PySINDy software, and textbooks like Data-Driven Science and Engineering . Lab & Teams: The Brunton Lab develops algorithms for scientific computing and control, with applications in aerospace, energy systems, and biomedical engineering.

• Fluid Mechanics
• Nonlinear Dynamics
• Suspension Mechanics
• +7 more

Associate Professor Daniel Lester is affiliated with the School of Engineering at RMIT University in Melbourne, Australia. His research focuses on interdisciplinary engineering, fluid mechanics, and porous media transport phenomena. He specializes in chaotic mixing, thixotropic fluids, and computational methods applied to environmental and biomedical systems. Lester leads research projects on microplastic transport, wastewater sludge pipeline optimization, and droplet dynamics in human respiratory systems. Research Interests Lester’s work spans fluid dynamics, nonlinear dynamics, rheology, and environmental engineering. He investigates transport in porous media, heat transfer enhancement using ferrofluids, and aerosol dispersion modeling for infection control. His recent studies address challenges in groundwater flow, sludge pipeline transport, and colloidal suspension behavior under shear/compression. Key Contributions Lester has pioneered methods for quantifying solute dispersion in heterogeneous poroelastic media using Lagrangian coherent structures. His team developed stochastic frameworks for tidal effects in coastal aquifers and validated numerical models for chaotic advection in mineral processing systems. He collaborates on field trials to enhance reagent delivery via fluid mixing mechanisms. Teaching Lester teaches advanced courses in nonlinear dynamics, computational fluid dynamics, and rheology. His supervision spans 18 active/recent research projects including PhD/Masters topics on microplastic retention in wetlands, biological nutrient removal processes, and biomimetic filtration systems.

Michael SmothermanView profile

Professor

• Neurobiology
• Animal Communication
• Sensory Biology
• +3 more

Michael Smotherman is a Professor in the Department of Biological Sciences at Texas A&M University. He leads the Smotherman Lab, focusing on the neurobiology of communication in bats. His affiliations include the Texas A&M Institute for Neuroscience (TAMIN) and the Faculty of Ecology and Evolutionary Biology. Education: A.B. in Biology (Occidental College, 1989), M.S. in Zoology (University of Maine, 1992), Ph.D. in Physiological Science (UCLA, 1998). Postdoctoral research at UCLA. Research interests center on how bats integrate sensory information for communication and navigation. Key topics include echolocation network neurobiology, vocal communication evolution, and olfactory tracking strategies. His lab studies bats as models for understanding sensorimotor integration, social brain evolution, and bio-inspired sonar systems. Publications span neurophysiological studies of auditory cortex function, behavioral ecology of bat communication, and applied research in bioacoustics. Recent work explores bat song production, cortical processing of echoes, and ecological impacts of wind turbines.

• Theology and Science
• Philosophical Theology
• Analytic Theology
• +3 more

George M. Coghill is an Emeritus Professor at the University of Aberdeen’s School of Natural and Computing Sciences, holding degrees in Engineering Science (B.Sc.), Computing (M.Sc.), Theology (M.Th.), and a Ph.D. in Intelligent Systems. His interdisciplinary research bridges theology-science dialogue, philosophical informatics, and computational models. Current work explores Donald MacKay’s contributions to information theory and free will, AI ethics in Christian theology, and immune-inspired machine learning. Publications reflect dual expertise in computational intelligence (e.g., swarm optimization, clustering algorithms) and analytic theology. Honors include Fellowship in the Royal Society of Arts. Previous roles include Head of Computing Science and leadership in university research committees. Vocal performance (LTCL diploma) complements academic pursuits.

• Ionic Liquids
• Molecular Dynamics
• Chemical Engineering
• +3 more

Karina Shimizu is an Invited Assistant Professor in the Department of Chemical Engineering at the University of Lisbon's Instituto Superior Técnico. Her research focuses on the structural and dynamic properties of ionic liquids, particularly their behavior in mixed systems, interfaces, and applications in materials science. She teaches Molecular Dynamics and Chemistry, emphasizing computational approaches to understanding complex fluid systems. Her work spans ionic liquid nanostructuring, solute-solvent interactions, and their roles in energy storage (e.g., lithium-ion electrolytes), drug delivery (amphotericin B), and environmental applications (gas solubility). Collaborations include studies on halogen bonding, lipid membrane interactions, and hydrotropy. Over 100 peer-reviewed articles reflect her interdisciplinary impact across chemistry, materials science, and bioengineering. Key themes include: 1) Ionic liquid mixtures' phase behavior and segregation phenomena; 2) Computational modeling of molecular-level phenomena; 3) Biomedical applications of tailored ionic liquids. Ongoing projects address nanostructured domains in ionic liquids and their functionalization for advanced materials.