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Jennifer FranckView profile

Professor

• Computational Fluid Dynamics
• Unsteady Fluid Mechanics
• Turbulent Flows
• +5 more

Professor Jennifer Franck is a faculty member in the Department of Mechanical Engineering at the University of Wisconsin-Madison, with additional affiliations in the Nuclear Engineering & Engineering Physics program. Her research focuses on computational fluid dynamics (CFD), unsteady fluid mechanics, and engineering applications in renewable energy systems such as wind, tidal energy, and propulsion. She holds a PhD from the California Institute of Technology (2009) and undergraduate degrees from the University of Virginia (BS, 2003) and Caltech (MS, 2004). Recipient of prestigious awards including the NSF CAREER Award (2023) and multiple ONR Summer Faculty Research Fellowships. Explores bio-inspired designs (e.g., seal whisker geometry) to enhance fluid-structure interaction and reduce vortex-induced vibrations. Advances cross-flow turbine and oscillating foil technologies for energy harvesting through CFD simulations and experimental validation. Research interests emphasize: Unsteady flow dynamics and turbulence modeling Optimization of renewable energy systems (tidal/wind turbines) Bio-inspired flow control strategies Recent publications highlight CFD-driven innovations in turbine blade design, vortex wake classification via machine learning, and high-efficiency propulsion systems. Grants include multi-disciplinary collaborations on bio-inspired geometries and fluid-structure interaction analysis. Labs/Teams: Active in fluid dynamics experimental facilities and computational modeling groups within the UW-Madison College of Engineering.

• Digital Signal Processing (DSP)
• Field-Programmable Gate Arrays (FPGA)
• Machine Learning Hardware Acceleration
• +13 more

Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.

• Natural Language Processing
• Multimedia Networking
• Software Defined Systems
• +6 more

Jason Quinlan is a Lecturer in the Department of Computer Science at University College Cork (UCC), Ireland. He holds a PhD in Computer Science and has extensive experience in teaching undergraduate modules such as Introduction to Programming (CS1117), Problem-Solving (CS1022), and Team Software Project (CS3305). His current role includes coordinating the CSIT SOLAS support hub for first-year students. Previously, he served as a Senior Post-Doc Researcher focusing on Intelligent Video Delivery at the Edge for 5G networks with the SFI iVID Project and CONNECT institute. Research interests span Natural Language Processing , Video Streaming Optimization , Software Defined Networking , and 5G Infrastructure . He led the development of frameworks like D-LiTE (DASH performance evaluation) and GoDASH (Go-based HAS framework). His work emphasizes QoE/QoS metrics, adaptive streaming algorithms, and network simulation tools. Key achievements include publishing over 30 peer-reviewed articles (e.g., on DASH streaming, 5G dataset analysis), securing €21,744 in research grants, and supervising 2 PhD, 15 Master’s, and numerous undergraduate students. Collaborations span institutions like UC Riverside (USA) and Université Clermont Auvergne (France). He actively contributes to conferences like ACM Multimedia Systems and IEEE LANMAN. Teaching and outreach activities include the MISL Summer of Code initiative mentoring over 60 students since 2018, and completing certifications in Project Management (PRINCE2, Scrum) and Higher Education Teaching. He has reviewed for top journals including Multimedia Systems Journal and IEEE Transactions on Multimedia, and serves on program committees for ACM MM and NetSoft conferences.

Rongjie LaiView profile

Professor

• Computational Mathematics
• Machine Learning
• Applied Geometry
• +4 more

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.

Michael RubensteinView profile

Associate Professor

• Multi-Robot Systems
• Swarm Robotics
• Modular Self-Reconfigurable Robots
• +4 more

Michael Rubenstein is an Associate Professor with joint appointments in the Computer Science and Mechanical Engineering departments at Northwestern University's McCormick School of Engineering. He holds the Lisa Wissner-Slivka and Benjamin Slivka Professorship. His research focuses on multi-robot systems, swarm robotics, and bio-inspired robotics, emphasizing scalable control and design for large robotic collectives. Ph.D. in Computer Science from University of Southern California (2009) M.S. in Electrical Engineering from University of Southern California (2005) B.S. in Electrical Engineering from Purdue University (2003) Research interests include swarm intelligence, self-assembly, and fault-tolerant systems. He has pioneered platforms like Kilobot and FireAnt, enabling affordable, large-scale robotic swarms. His work bridges robotics with biology, addressing challenges in distributed control and collective behavior. Key publications highlight advancements in swarm formation control, self-healing algorithms, and modular robotics. Recent trends emphasize environmental adaptation and decentralized systems. He has received awards such as the Sloan Fellowship and holds patents in robotic connectivity and sensing. Advises PhD students including Hanlin Wang and Petras Swissler Recipient of grants from DARPA and NSF Develops courses like 'Applied Mechatronics' and 'Special Topics in Swarms' Labs/Teams: Lead researcher in the Self-Organizing Systems Group, contributing to open-source robotics tools and educational platforms.

Graham TaylorView profile

Professor

• Biomechanics
• Neurophysiology
• Animal Flight Dynamics
• +7 more

Professor Graham Taylor is a Professor of Mathematical Biology at the University of Oxford and a Senior Research Fellow at Jesus College. He leads the Oxford Flight Group, focusing on biomechanics, neurophysiology, and bio-inspired engineering. His research combines experimental methods (e.g., virtual reality flight simulators) with computational models to understand animal flight dynamics and translate findings into robotics and AI. He holds a Royal Society University Research Fellowship and has received €1.95M from the ERC. His work spans Harris’ hawks, peregrine falcons, planthoppers, and insects, with applications in drone design and emergency response technology. Education: BA (Zoology, Pembroke College, Oxford), DPhil (Jesus College, Oxford) Key Roles: Deputy Head of MPLS Division, Director of John Krebs Field Station, Wytham Woods Research interests include evolutionary tuning of flight systems, flight control algorithms, and the intersection of physics and physiology. His lab collaborates with industry on spinouts like Animal Dynamics and engages the public through documentaries (e.g., Sky Nature’s Airborne ) and outreach programs. Notable achievements include the Thomas Henry Huxley Medal and ERC grants. Advising & Grants: Supervises doctoral students in biomechanics and robotics. Leads projects funded by the ERC, BBSRC, and industry partnerships. His lab hosts UNIQ program visits and public engagement activities, including a 2022 Oxford Science Festival exhibit.

Amanda ChicoliView profile

Lecturer

• Systems Neurobiology
• Neuroethology
• Collective Behavior
• +3 more

Amanda Chicoli is a Lecturer in the Psychology Department at the University of Maryland, College Park. She serves as the research coordinator for the neuroscience major, faculty advisor for the neuroscience minor, and course director for NEUR305: Neural Systems and Circuits. Her roles include teaching multiple courses such as PSYC300 (Research Methods in Psychology), PSYC409 (Topics in Neuroscience), and PSYC489R (Human & Animal Intelligence). Previously, she was a postdoctoral fellow at the Carnegie Institution for Science, where she studied zebrafish dorsal habenulae using molecular, genetic, and whole-brain imaging techniques. Chicoli holds a PhD in Neuroscience and Cognitive Science (2016) from the University of Maryland and a BS in Biology and Psychology from Brooklyn College (2010). Her research focuses on systems neurobiology, neuroethology, and collective behavior, with applications to bio-inspired engineering. She is deeply committed to science education and curriculum development, particularly for neuroscience programs. Her work integrates computational modeling, experimental neuroscience, and immersive VR technology to explore animal behavior and decision-making in groups. Her research interests emphasize understanding how individual and collective behaviors emerge from neural and environmental interactions. Key projects include analyzing rheotaxis (current-following) in fish schools, modeling group decision-making, and investigating predator avoidance strategies. She has contributed to studies using zebrafish as a model organism to explore brain connectivity and function. Chicoli’s work bridges theoretical models with empirical observations, offering insights into both fundamental neuroscience and applied engineering challenges.

• Biomechanics
• Medical Robotics
• Neuromechanics
• +3 more

Manish Narsipura Sreenivasa is a Senior Lecturer at the School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong (since 2018). Previously, he held postdoctoral roles at the University of Heidelberg (Germany) and University of Tokyo (Japan), focusing on neuromuscular system modeling. He earned his Ph.D. in Systems Engineering from the University of Toulouse-Jean Jaurès (France). His research integrates computational neuroscience, biomechanics, and robotics to develop assistive devices like exoskeletons and prosthetics. Key areas include patient-specific orthosis design, neuromusculoskeletal modeling for clinical interventions, and spinal exoskeleton optimization. He leads projects funded by the EU H2020 (Spexor) and Australian grants. Fields of Expertise: Biomechanics, Medical Robotics, Wearable Technologies Awards: Hengstberger Award (2015), Leopold Escande Thesis Prize (2010), IEEE Best Paper (2010) Supervision: Active advisor for 6 Ph.D./Master’s students in biomechanics and robotics His recent work emphasizes human-device interaction in exosuits, sensory feedback systems for prosthetics, and ergonomic solutions for construction workers. He collaborates with orthopedic departments and industry partners to translate research into clinical applications.

Chaomin LuoView profile

Associate Professor

• Robotics
• Autonomous Systems
• Computational Intelligence
• +3 more

Chaomin Luo is an Associate Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), part of the Bagley College of Engineering. His research focuses on Robotics, Autonomous Systems, Computational Intelligence, Machine Learning, Control Systems, and Embedded Systems. He holds a Ph.D. from the University of Waterloo, Canada (Electrical and Computer Engineering), an M.Sc. from the University of Guelph (Engineering Systems and Computing), and a B.S. from Southeast University, China (Electrical Engineering). His work emphasizes bio-inspired algorithms for robot navigation, graph-based path planning, and human-autonomy teaming. Notable contributions include models for integrated robotic systems, underwater vehicle navigation, and safety-aware crowd-avoidance systems. He also develops pedagogical methods to enhance student learning in robotics and computer engineering topics like MIPS instruction set design and datapath optimization. Research highlights include: Autonomous systems integration with cognitive mapping and digital twin technology Multi-agent navigation algorithms using RRT*-smart and simulated annealing approaches Process monitoring via low-rank projections and fractal analysis Brain-computer interfaces for unmanned vehicle control His teaching responsibilities include courses related to embedded systems (VLSI/FPGA design) and robotics. His research has been published in over 50 peer-reviewed articles since 2018, with a focus on sustainable manufacturing systems, bio-inspired intelligence applications, and mechatronic systems optimization.

Divya Kaur MattaView profile

Assistant Professor

• Photosynthesis
• Computational Chemistry
• Biophysics
• +6 more

Divya Kaur Matta is an Assistant Professor in the Department of Chemistry at Brock University. Her research focuses on computational studies of charge and energy transfer reactions in photosynthetic proteins, leveraging advanced techniques like Molecular Dynamics (MD), Multi Conformation Continuum Electrostatics (MCCE), and Density Functional Theory (DFT). She collaborates with experimental groups to analyze structural and mechanistic details of photosynthesis. Education: B.Sc (2007) and M.Sc (2009) from University of Delhi; M.Phil (2017) and Ph.D (2021) from The Graduate Center, The City University of New York. Research Keywords: Electron transfer, Photosynthesis, Computational Chemistry, DFT, MD simulations, MCCE, Energy transfer. Her work aims to design artificial systems for solar energy conversion into biofuels. She supervises graduate students and postdoctoral researchers, emphasizing EDI initiatives in lab recruitment. She teaches courses in physical chemistry, biophysics, and biotechnology. Key Publications: Explore proton pathways in Photosystem II, quantum descriptors of chlorophylls, and Monte Carlo sampling for water channels. Scientific Awards: FMS Research Award (2024) Her lab offers partial stipends and part-time employment to selected candidates, prioritizing those with programming experience or EDI leadership.

Robert HeckendornView profile

Associate Professor

• Machine Learning
• Evolutionary Computation
• Robotics
• +4 more

Robert Heckendorn, Ph.D., is an Associate Professor in the Department of Computer Science at the University of Idaho, part of the College of Engineering. His research interests span machine learning, evolutionary computation, robotics, optimization algorithms, computational biology, and transportation systems. He holds a Ph.D. and has contributed extensively to interdisciplinary areas such as autonomous systems, traffic simulation, and bio-inspired algorithms. His work often bridges theoretical foundations with practical applications, including developing high-fidelity traffic modeling tools, optimizing manufacturing processes, and advancing robotic control strategies. Notable contributions include neuroevolution techniques for crowd behavior prediction and fuzzy logic-based crowd management systems. He also explores evolutionary algorithms in biological fitness landscapes and disaster management scenarios. He has authored over 50 publications since 1997, focusing on algorithmic efficiency, population diversity in evolutionary systems, and multi-agent coordination. His research has implications for smart cities, healthcare, and autonomous vehicle technologies. Despite no listed awards here, his prolific output underscores his impactful contributions to computer science and engineering. As an educator, he contributes to curriculum development in computational thinking and web-based learning systems (e.g., vTutor platform). His lab likely focuses on real-world problem-solving through computational methods, though specific lab names aren’t mentioned. Collaborations with industry and interdisciplinary teams are implied through his research topics like connected-vehicle systems and cancer modeling via cellular automata.

• Artificial Intelligence
• Game Theory
• Computer Science
• +4 more

Leonardo Stella is an Associate Lecturer in Computer Games Programming at the University of Derby's College of Science and Engineering. His research focuses on bio-inspired algorithms, evolutionary dynamics, and their applications in collective decision-making systems. Notably, he has explored topics such as social distancing simulations in virtual environments and mean-field game theory applied to complex networks. His work bridges theoretical foundations (e.g., evolutionary game dynamics) with practical applications in computer science and public health. Research Outputs: Stella has published in prestigious venues like Automatica and IEEE journals. Key contributions include analyzing bio-inspired systems under uncertainty and modeling collective decision-making processes in structured/unstructured settings. Recent work (2020) addresses pandemic mitigation strategies through virtual environment simulations. Awards: No scientific awards explicitly mentioned in the text. Grants and advising details are not provided, though his publications suggest active research engagement. Labs/Teams: No specific labs or collaborative teams are listed, though his affiliations imply participation in interdisciplinary projects within the College of Science and Engineering.

Christofer ClementeView profile

Associate Professor

• Animal Ecophysiology
• Biomechanics
• Evolutionary Systems
• +3 more

Dr. Christofer Clemente is an Associate Professor in Animal Ecophysiology at the University of the Sunshine Coast (Australia), leading the Biomechanics and Biorobotics Lab within the School of Science, Technology and Engineering. His research focuses on the interplay between form, function, and ecology in animals, combining field studies, computational modeling, and bio-inspired robotics. Education: PhD in Zoology, University of Western Australia First-Class Honours in Zoology, University of Western Australia Bachelor of Science (Zoology), University of Western Australia Research Interests: Evolutionary Biomechanics of locomotion in reptiles and mammals Design of bio-inspired robots for ecological and engineering applications Field studies using accelerometers and machine learning to analyze animal behavior Adaptive strategies in Australian fauna, including kangaroos and invasive species Key Achievements: ARC Discovery Grant (2023–2026) for kangaroo biomechanics research Developed robotic models of lizard locomotion and climbing Pioneer in using accelerometry to study animal behavior in natural habitats Labs/Teams: Biomechanics and Biorobotics Lab (specializing in evolutionary robotics and musculoskeletal modeling) Collaborations with Harvard University, Cambridge University, and institutions in Ecuador

Mostafa MobliView profile

Lecturer

• Numerical Methods
• Fluid Dynamics
• Heat Transfer
• +3 more

Mostafa Mobli is an Instructor and Lab Director at the Department of Mechanical Engineering within the Molinaroli College of Engineering and Computing at the University of South Carolina. His research focuses on developing numerical solutions for complex thermo-fluid problems involving reactive flows, phase change phenomena at micro/nano scales, and thermal analysis of glow discharge systems. He specializes in computational methods for fluid flow and heat transfer applications relevant to cooling technologies and plasma simulations. Education highlights: Ph.D. in Mechanical Engineering, University of South Carolina (2018) M.S. in Mechanical Engineering, University of South Carolina (2014) B.S. in Mechanical Engineering, University of Tehran (2012) Recent research trends include advanced thermal modeling of boiling processes and glow discharge systems, with publications demonstrating consistent focus on interfacial heat transfer, bubble dynamics, and high-pressure plasma behavior. His computational work provides insights into energy transfer efficiency in industrial applications. As laboratory director, he oversees undergraduate lab development and maintenance while serving on curriculum development committees. He actively advises graduate students including Malhar Joshi and Daniel Monteith on topics ranging from microchannel heat removal to bio-inspired aerodynamic designs.

Monirosadat SadatiView profile

Assistant Professor

• Soft Materials Engineering
• Active Matter Systems
• Additive Manufacturing
• +5 more

Monirosadat (Sanaz) Sadati is an Assistant Professor in the Department of Chemical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. She holds an affiliate faculty position in Biomedical Engineering. Her research focuses on soft materials engineering, with emphasis on active matter systems and additive manufacturing. She received her PhD in Materials Science from ETH Zurich (2012), followed by postdoctoral training at Harvard University (2012–2014) and the University of Chicago (2014–2018). Research Themes: Active Matter: Designing autonomous micromachines for drug delivery and environmental remediation in complex environments. Additive Manufacturing: Developing in-situ characterization techniques for 3D printing of soft materials with tailored properties for tissue engineering and responsive systems. Key Contributions: Her work integrates experimental and computational approaches to study liquid crystal self-assembly, chiral nanostructures, and responsive materials. Recent efforts include blue phase stabilization under confinement and MXene-based hybrid materials for energy applications. Awards: Swiss National Science Foundation Prospective Researchers Award (2012) Swiss National Science Foundation Advanced Postdoc. Mobility Award (2013) Lab Focus: The Sadati Lab explores structure-property relationships in soft matter systems using advanced fabrication techniques. Current projects address challenges in programmable materials, biohybrid constructs, and energy storage solutions.