Elisabetta Chicca is a Professor of Bio-Inspired Circuits and Systems at the University of Groningen's Faculty of Science and Engineering. Her work bridges neuromorphic engineering, spiking neural networks, and bio-inspired sensing. University: University of Groningen Department: Bio-Inspired Circuits and Systems Email: e.chicca@rug.nl Research Interests: Focus on developing CMOS models of cortical circuits for brain-inspired computation, combining spiking neural networks with memristive systems. Key areas include bio-inspired vision, olfaction, touch, and motor control to create agents that operate in real-world environments. Recent Article Trends: Explore neuromorphic processors with hybrid CMOS-memristor architectures, event-based vision for motion detection, tactile sensing in robotics, and benchmarking frameworks for neuromorphic algorithms. Scientific Contributions: She co-founded the Neuromorphic Computing and Engineering journal and serves on its Executive Editorial Board. Her team has received EU Horizon 2020, NWO, and DFG grants.
Marc Riedel is a Professor at the Department of Electrical and Computer Engineering within the University of Minnesota 's College of Science and Engineering , where he leads the Circuits and Biology Lab . His work bridges digital circuit design with synthetic biology , exploring nano-scale technologies and biological engineering to develop novel computational systems. Ph.D. Electrical Engineering, Caltech (2004) His research focuses on logic synthesis and verification , DNA storage , and stochastic computing . Key projects include: Building acid-base logic gates for molecular computation Developing DNA-based data storage systems Designing time-encoded computing architectures with 100× gate reductions Advancing computational immunology via cloud-enabled MHC binding prediction Notable trends in his publications include: Transition from stochastic logic to deterministic bitstream computing Integration of chemical reactions and DNA mechanics in circuit design Application of percolation theory to nanoscale defect tolerance Scientific recognition includes: 2004 Charles H. Wilts Prize for Caltech's best EE dissertation 2003 DAC Best Paper Award for cyclic circuit design 2009 CAREER Grant for bio-inspired computing research He has mentored researchers in DNA computing , chemical logic , and stochastic architectures , with applications ranging from biochemical signal processing to predictive immunology .
Dr. Marcello Calisti is an Assistant Professor of Bioengineering at the BioRobotics Institute of Scuola Superiore Sant'Anna, specializing in bioinspired underwater robotics. His work focuses on embodied intelligence , creating soft robots that exploit body dynamics for simplified control. He leads European/National projects like SILVER and Blue Resolution while supervising PhD students and teaching bioengineering courses. B.Sc Mechanical Engineering (University of Perugia, 2005) M.Sc BioMedical Engineering (University of Florence, 2008) PhD in BioRobotics (Scuola Superiore Sant'Anna, 2012) Current research investigates underwater locomotion through compliant legs and deformable bodies, combining mechanical engineering with computer science to create robots for seabed exploration and plastic cleanup. His work extends to bioinspired vision systems and tau-theory-based control algorithms. Recent publications highlight advancements in soft robotics, underwater grippers, and flagellate locomotion systems, with applications in environmental monitoring and marine biology. His work has received recognition at ASME and GECCO conferences. 2012 ASME Student Mechanism and Robot Design Competition Finalist 2014 Gear of Innovation Challenge Winner 2015 GECCO Best Paper Award Nominee 2017 National Geographic Society Early Career Grant 2018 Arbi Dario spa Grant As Principal Investigator, he manages teams across multiple projects while maintaining teaching commitments and editorial roles. His laboratory collaborates with biologists and clinicians for cross-disciplinary applications.
Dr.-Ing. Markus Robens is a researcher at the Jülich Research Centre , affiliated with the Peter Grünberg Institute (PGI) and specifically the Integrated Computing Architectures (PGI-4) department. He contributes to advanced research in artificial intelligence, neuromorphic computing, and bio-inspired systems. Research Interests: AI-driven imaging technologies Neuromorphic computing architectures Bio-inspired neural networks Computational neuroscience applications Markus Robens is based at the Jülich Campus (Building 02.5, Room 217) and collaborates within the Helmholtz Association's interdisciplinary framework.
Associate Professor Sridhar Ravi is Deputy Head of the School of Engineering and Technology at UNSW Canberra and leads the Bio-Engineering Research Group . He holds a Bachelors of Engineering (Aerospace) and PhD from RMIT University (2007 & 2011), where his doctoral research focused on wind turbulence effects on wing aerodynamics. Postdoctoral stints at Harvard University (2012-2014), Chiba University (JSPS Fellowship), and University of Bielefeld (Alexander von Humboldt Fellowship) expanded his expertise in insect/bird flight and bio-inspired design. Research Interests span Bioinspired Robotics Biomechanics of Flight Fluid-Structure Interactions Neuroethology of Navigation Unsteady Aerodynamics Autonomous Systems His work integrates biological principles into engineering solutions, particularly for miniature aerial/underwater vehicles. Recent Publications emphasize fluid dynamics in bio-inspired propulsion, obstacle avoidance, and swarm robotics. Key trends include passive wing rotation mechanisms, ground effect optimization, and sensory integration for autonomous control. Scientific Honors include JSPS Fellowship (Chiba University) Alexander von Humboldt Fellowship (University of Bielefeld) His teaching at UNSW Canberra includes Rotorcraft Engineering and Fundamentals of Flight , reflecting his technical depth.
Sharon Swartz is a Professor of Biology and Professor of Engineering at Brown University, where she has made significant contributions to the understanding of bat flight biomechanics and evolutionary morphology. Her interdisciplinary research bridges biology, engineering, and physics, with a focus on the aerodynamics, mechanics, and evolution of animal flight, particularly in bats. Her educational background includes a BA in Biology and Anthropology/Sociology from Oberlin College (1981), followed by a PhD in the Committee on Evolutionary Biology from the University of Chicago (1988). After completing her doctorate, she joined the faculty at Northwestern University in the interdisciplinary Primate Biology Graduate Program before moving to Brown University. Professor Swartz's research focuses on the biomechanics of bat flight, examining how the unique structure of bat wings enables their remarkable aerial capabilities. Her work spans multiple disciplines including aerodynamics, biomaterials, evolutionary biology, and fluid dynamics. She investigates the mechanical properties of bat wing tissues, dynamics of wing movements during flight, fluid dynamics of highly flexible airfoils, and aerodynamics and energetics of bat flight. Her research integrates biological and physical studies of natural flight in living bats, studies of robotic bat wings, and computational simulations. Through experimental fluid dynamics, her lab has made significant contributions to understanding the wake structures generated by bat flight and how these differ from birds and insects. Her pioneering work on compliant airfoils has demonstrated their remarkable capacity to generate lift at zero and very high angles of attack, with implications for both understanding bat flight evolution and developing bio-inspired aerial robotics. 2014 Elizabeth LeDuc Award for Excellence in Teaching in the Life Sciences 2013 Distinguished Alumni Service Award, The University of Chicago 2013 Selected for NSF Exhibit, AAAS National Meeting 2012 Featured Researcher, Air Force Office of Scientific Research 60th Anniversary Video 2011 Elected Chair, Division of Comparative Biomechanics, Society for Integrative and Comparative Biology 2010 Karen T. Romer Prize for Excellence in Advising Her research has been supported by substantial funding from the National Science Foundation, the Air Force Office of Scientific Research, the Howard Hughes Medical Institute, and other organizations. Current projects include collaborative research on "The Rules of Predation: Linking Biomechanics and Ecology in the Bat-Insect Arms Race" and Hyundai Visionary Challenge projects on "Robust Bat-inspired Aerial Robotics." Her lab has been instrumental in developing aeroecology as a new field of study. The Aeromechanics & Evolutionary Morphology Lab at Brown University, led by Professor Swartz, brings together researchers from diverse disciplines to study the intersection of biomechanics, evolutionary biology, and engineering. The lab maintains active collaborations with researchers in computer science, mathematics, and engineering, reflecting the highly interdisciplinary nature of her work on bat flight and its applications to bio-inspired robotics.
Lisa Torrey is an Associate Professor in the Department of Mathematics, Computer Science, and Statistics at St. Lawrence University. She teaches courses in programming, algorithms, artificial intelligence, machine learning, and computational theory. She earned her Ph.D. in Computer Science from the University of Wisconsin-Madison in 2009, where she researched relational transfer in reinforcement learning under Professor Jude Shavlik. Her research focuses on: Developing intelligent agents using reinforcement learning Human-inspired techniques for task transfer and multi-agent collaboration Educational applications of AI in computer science classrooms Machine learning approaches to crowd simulation and game AI She has recently shifted toward studying human learning dynamics in CS education. Her publications (2010-2020) predominantly explore reinforcement learning adaptations, educational AI frameworks, and knowledge-transfer mechanisms. A clear evolution is visible from theoretical machine learning toward applied educational research. She actively mentors students in AI/machine learning projects, with recent advisees including: Rodrick Mpofu (Explainable Image Classification) Lily Kendall (Sensitivity Analysis for Image Generation) Cooper Anderson (Audio Source Separation) Ellie Nichols (Avalanche Forecast Analysis) 15+ additional students across 2020-2025 No research labs or major grants are explicitly mentioned in available materials.
Andrea Trucco is a Full Professor at the University of Genoa, affiliated with the Polytechnic School under the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN). He teaches courses in Electrical Communications, Acoustic and Electromagnetic Emission of the Ship, Fundamentals of Telecommunications and Signal Processing, and Signals and Systems for Telecommunications across various degree programs including Biomedical Engineering, Naval Engineering, Computer Engineering, and Electronic Engineering and Information Technology. Research Interests: Telecommunications and Signal Processing Underwater Acoustics Environmental Noise Prediction Behavioral Dynamics in Biological Systems Beamforming and Antenna Design Publication Trends: His recent articles focus on underwater noise analysis, with applications in environmental monitoring (wind turbine noise, rainfall/wind prediction), bio-inspired modeling (fish collective behavior), and signal processing advancements (superdirective beam patterns, supervised learning integration). Teaching & Contact: Teaches graduate and undergraduate courses in telecommunications, naval acoustics, and signal processing Office hours by appointment, contact via email: andrea.trucco@unige.it
Martin Cramer Pedersen is an Associate Professor at the Niels Bohr Institute, University of Copenhagen, affiliated with the Biocomplexity department and the Solid State Physics group. His research spans interdisciplinary topics at the intersection of biophysics, materials science, and computational biology. Specializes in structural characterization using small-angle scattering (SAXS/SANS) Develops computational methods for analyzing complex biological and soft matter systems Investigates active matter dynamics, membrane-bound protein interactions, and colloidal self-assembly Recent publications highlight his work on: Hyperbolic order in curved materials α-synuclein aggregation mechanisms Active particle-induced porous gel structures Advanced scattering data analysis tutorials Casein micelle structural heterogeneity Nematic order collapse on frictional substrates His collaborative research involves institutions across Europe and Australia, with applications in biophysics, nanotechnology, and soft matter physics.
Tess Homan is an Assistant Professor at the Power & Flow group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). Her research focuses on fundamental fluid dynamics , with an emphasis on data analysis and experimental techniques to study fluid-particle flows , bubbly flows , and biological systems . She is also involved in the Complex Multiphase Flows theme at TU/e. Research Trends: Articles span microfluidic mixing , metal particle combustion , and deep learning applications in fluid dynamics. Key subfields include artificial cilia dynamics , hyperspectral thermometry , and hydrogen-based metal regeneration . Scientific Contributions: Developed low-cost deep learning segmentation for bubble detection in industrial processes Advanced high-speed imaging techniques to analyze metal dust flames Investigated metachronal wave programming for fluid control in artificial cilia systems Education & Outreach: Teaches Experimentation for Mechanical Engineering and MATLAB Homologatie at TU/e.
Giovanni Iacca is an Associate Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento, Italy, where he leads the Distributed Intelligence and Optimization Lab (DIOL). He serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. Dr. Iacca has over 15 years of industrial experience in mechatronics and optimization applied to engineering, logistics, and scheduling. Dr. Iacca received his PhD in 2011 from the University of Jyväskylä, Finland, and his MSc in 2006 from the Technical University of Bari, Italy. His academic career includes: 2021-present: Associate Professor, University of Trento 2018-2021: Tenure-track Assistant Professor, University of Trento 2017-2018: Postdoc, RWTH Aachen University, Germany 2013-2016: Postdoc, EPFL and University of Lausanne, Switzerland 2012-2016: Postdoc, INCAS³, The Netherlands Dr. Iacca's research bridges fundamental and applied aspects of artificial intelligence with particular emphasis on evolutionary computation and explainable AI. His work spans machine learning, optimization techniques, distributed systems, and their practical implementations. Recent research directions include federated learning, interpretable reinforcement learning, neural architecture search, and optimization for resource-constrained environments. He teaches courses on Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, Optimization Techniques, and AI in Medicine. His publication record demonstrates a strong trend toward developing transparent and efficient AI systems. Recent papers focus on making complex AI models more interpretable while maintaining performance across diverse domains from healthcare to supply chain management. His work on evolutionary approaches to explainable AI has gained significant recognition in the computational intelligence community. Scientific Awards and Editorial Roles EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) IEEE Senior Member (2023) Associate Editor, Evolutionary Intelligence (2024) Editorial Board Member, Memetic Computing (2024) Associate Editor, IEEE Transactions on Evolutionary Computation (2023) Dr. Iacca has successfully supervised multiple PhD students including Andrea Ferigo, Hyunho Mo, and Leonardo Lucio Custode. His research is supported by various grants and collaborations with industry partners like MyAv. He serves as chair for PPSN 2026 and has organized workshops including the Workshop on Awareness and Consciousness in Artificial Intelligence (ACAI). As leader of the Distributed Intelligence and Optimization Lab (DIOL), Dr. Iacca oversees a research team working at the intersection of evolutionary computation, machine learning, and distributed systems. The lab focuses on developing novel algorithms that balance computational efficiency with interpretability, with applications spanning from embedded systems to large-scale distributed computing environments. Current projects include interpretable reinforcement learning, federated neuroevolution, and optimization for edge computing.
George Priniotakis is a Professor in the Department of Industrial Production Systems at the University of West Attica. He specializes in innovative textile technologies for multifunctional clothing, with a focus on medical and military applications, wearable sensors, and sustainable materials. His work bridges engineering, ergonomics, and environmental stewardship. University of Leeds – M.Sc. in Fiber Science and Technology (1992) University of Ghent – PhD in Conductive Textile Materials His research interests include: Smart systems using conductive textiles Risk management via wearable sensors Recyclable yarn development Innovative educational tools for engineering Professor Priniotakis has led numerous research projects as a scientific director and coordinator, participated in over 100 international conferences, and maintains an H-index of 12. He serves as President of the Organizing Committee for the biennial AITAE conference.
Sambriddhi Mainali serves as the Undergraduate Programs Director and Assistant Teaching Professor in the Department of Computer Science at the University of Missouri-St. Louis within the College of Arts and Sciences. Holding a Ph.D. in Computer Science from the University of Memphis (2021), she bridges computational theory with biological applications through her research and teaching. Education: Ph.D. in Computer Science, University of Memphis, 2021 Dr. Mainali's research program focuses on computational biology and bioinformatics, employing advanced machine learning, information theory, and molecular computing techniques to solve genomic challenges. Her work spans pathogenicity prediction, genomic sequence analysis, phenotype forecasting, and environmental DNA profiling, with particular emphasis on dimensionality reduction methods and species identification systems. This interdisciplinary approach integrates computer science fundamentals with biological data to advance precision medicine and biodiversity conservation. Analysis of her 14 publications from 2017-2022 reveals consistent innovation in genomic data science, with recent work emphasizing deep learning for DNA structure analysis (2022), information-theoretic dimensionality reduction (2021), and universal genomic positioning systems (2017-2020). Her research trajectory demonstrates increasing sophistication in applying computational frameworks to complex biological questions, particularly in translating genomic sequences into phenotypic predictions and environmental assessments. As Undergraduate Programs Director, she oversees curriculum development and student mentorship in computer science, maintaining office hours Tuesdays and Wednesdays 1:30-3:30 PM in ESH 313 with Zoom availability. Her contact details include email smbtk@umsl.edu and phone (314) 516-5239.
Austin M. Garner is an Assistant Professor of Biology at Syracuse University’s College of Arts and Sciences , jointly affiliated with the Department of Biology and the Biochemistry Program . A functional morphologist and biomechanist, he explores how animals attach to and interact with complex surfaces, integrating life-science and physical-science approaches. Education Ph.D. Integrated Bioscience, University of Akron (2021) Dissertation: Examining the relationships between form, function, environment, and behavior in adhesive pad-bearing lizards B.S. Biology (magna cum laude), University of Akron (2016) Research Interests Garner’s interdisciplinary program centers on functional morphology, biomechanics, and bio-inspired design . Current focal systems include: Lizard adhesion : quantifying microscopic setal morphology, claw–substrate interactions, and performance trade-offs in geckos and anoles. Sea-urchin adhesion : elucidating tube-foot biomechanics under environmental stressors such as hyposalinity and temperature change. Bio-inspired engineering : translating organismal attachment mechanisms into design principles for synthetic adhesives and biologging tag attachment. His work combines high-resolution imaging, mechanical testing, field experiments, and computational analyses to reveal how form, function, and environment interact. Publication Trends Across 15 recent papers (2020-2025), Garner has advanced three major themes: (1) comparative adhesive morphology of lizards and its ecological correlates; (2) environmental modulation of sea-urchin adhesion and locomotion; and (3) cross-disciplinary biomechanical studies spanning fish fins, polar-bear paws, and bio-inspired devices. These contributions appear in leading journals such as Journal of Experimental Biology , Integrative and Comparative Biology , and Royal Society Open Science . Funding & Grants Co-PI, “Advancement of Attachment of Biologging Tags,” Office of Naval Research via University of Michigan (2023-2026) PI, “Habitat-level Variation in the Functional Morphology of the Purple Sea Urchin Adhesive System,” Syracuse University (2024) Service & Outreach Garner serves as seminar-series organizer and recruitment-committee member in the Department of Biology, co-leads the Form & Function Focus Group within the BioInspired Institute, and regularly reviews for NSF, DoD, and >10 international journals. He has delivered >30 invited talks, including Café Scientifique and K-12 outreach events, and has been featured in Newsweek , The Boston Globe , and phys.org for his expertise on animal behavior during solar eclipses. Laboratory & Team Garner directs an active research group at Syracuse University equipped for high-speed videography, force measurement, microscopy, and 3-D surface analysis. Graduate and undergraduate students collaborate on projects examining lizard and echinoderm biomechanics, with opportunities for fieldwork in Jamaica and coastal marine sites.
Rongjie Lai is a Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. His research focuses on computational mathematics, machine learning, and applied geometry, with contributions to manifold learning, operator learning, and partial differential equations. He holds a position in the Department of Mathematics and is affiliated with the College of Science's broader computational and mathematical initiatives. His research interests include developing mathematical frameworks for geometric and topological data analysis, optimization algorithms for high-dimensional data, and applications in scientific computing. Notable work involves advancing neural network architectures for complex systems and developing efficient methods for solving PDEs on manifolds. Recent publications emphasize interdisciplinary applications, such as mean-field games, adversarial training in neural networks, and bio-inspired computing. His work bridges theoretical foundations and practical applications, impacting fields like computational biology and materials science. Despite his extensive output, no specific awards or grants are explicitly listed in the provided text.
