Find Academic Supervisors

Ali MadooeiView profile

Teaching Professor

• Computer Science Education
• Software Engineering
• Instructional Design
• +4 more

Ali Madooei is a Teaching Professor in the Department of Computer Science at Johns Hopkins University, affiliated with the Whiting School of Engineering. He specializes in computer science education, software engineering, instructional design, and learning technology, with a focus on hands-on project-based learning. Department: Computer Science School: Whiting School of Engineering Academic Rank: Teaching Professor Email: madooei@jhu.edu His research interests revolve around enhancing software development education through project-based learning environments. He established the Coding, Learning, and Application-Building Lab (COLLAB) , which provides students with unstructured, self-directed software project experiences. He also leads the AI-Assisted Instruction Lab , exploring how artificial intelligence can improve educational technology. Madooei's work emphasizes modern technology stacks, employability, and flexible remote collaboration, with projects often aligning with industry standards. Additionally, he has contributed to biomedical imaging through prior research in color modeling and hyperspectral analysis for skin lesion diagnostics. Ali Madooei has received the Whiting School of Engineering Excellence in Teaching Award (2024) , highlighting his commitment to pedagogical innovation in computer science education. As an educator, Madooei promotes independent learning, mentorship, and leadership development in his labs. His labs support a dozen students each term with academic credit and practical experience, offering paid, volunteer, and self-directed project opportunities. Projects are structured around sprint cycles and remote collaboration, with students encouraged to propose ideas or join existing initiatives. He has previously taught at the University of British Columbia, Simon Fraser University, and Kwantlen Polytechnic University, bringing diverse institutional experience to his current role.

Donhee HamView profile

Professor

• Biomedical Engineering
• Semiconductor Technology
• Quantum Electronics
• +4 more

Donhee Ham is the John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences at Harvard University , focusing on the intersection of semiconductor technology, biomedical engineering, and quantum electronics . His lab develops advanced CMOS-based systems for neuronal interfaces, magnetic resonance imaging, and bio-silicon hybrid platforms, with applications in cellular electrophysiology, data storage, and quantum sensing . Recent work includes: High-density microhole electrode arrays (iMEA) for synaptic connectivity mapping Portable NMR/MRI systems for molecular fingerprinting and bacterial monitoring Gigahertz plasmonic devices and 2D electron gas systems for microwave non-reciprocity Hybrid cyto-silicon systems with closed-loop modulation Exploration of low-power electronics and DNA-based data storage His research often bridges solid-state circuits with biological applications , as seen in his Nature and Nature Communications publications. Collaborations span Harvard SEAS, MIT, and international institutions.

• Biomedical Engineering
• Medical Imaging
• Optical Engineering
• +5 more

Dr. Viktor Gruev is a distinguished academic holding multiple professorships at the University of Illinois: Professor of Electrical and Computer Engineering, Bioengineering, and Biomedical and Translational Sciences. He also serves as the Program Leader at the Beckman Institute for Advanced Science and Technology and the Cancer Center at Illinois. His research focuses on bioinspired imaging systems, with applications in medical diagnostics, underwater geolocation, and polarization-based technologies. Gruev’s work integrates optical engineering, nanotechnology, and biomedical innovation. Key areas of expertise include multispectral imaging sensors, polarization sensors for tumor detection, and polarization-based underwater navigation systems. He has pioneered devices such as the 9-band camera for image-guided surgery and bioinspired polarization event cameras, leveraging machine learning and bio-inspired design principles. His research has led to advancements in fluorescence-guided surgical tools, nanoparticle contrast agents, and polarization division multiplexing for optical communication. Gruev’s interdisciplinary projects bridge engineering and medicine, with collaborations spanning cancer imaging, marine robotics, and material science. He holds leadership roles in university research initiatives and is affiliated with the Office of the Vice Chancellor for Research and Innovation.

Xian DuView profile

Adjunct Assistant Professor

• Flexible Electronics
• Machine Learning
• Biomedical Imaging
• +3 more

Xian Du is an Adjunct Assistant Professor at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. Their research focuses on interdisciplinary areas including flexible electronics, biomedical imaging, control systems, and machine learning applications in healthcare and manufacturing. Key research interests include developing materials and fabrication techniques for harsh environment electronics, advancing optical coherence tomography (OCT) for medical diagnostics, and creating control algorithms for precision systems. They also specialize in machine learning for image super-resolution, sensor integration, and predictive maintenance in industrial processes. Recent publications highlight innovations in 3D-printed drug delivery systems for visually impaired patients, real-time probe localization algorithms, and encapsulation methods for flexible electronics. Their work bridges theoretical advancements with practical applications in personalized healthcare technology and industrial automation. Notable contributions include hardware-aware neural networks for image processing, model predictive control for roll-to-roll manufacturing, and bioinspired nanosensors for cellular studies. Ongoing research emphasizes cross-disciplinary solutions at the intersection of materials science, AI, and biomedical engineering.

Ning WangView profile

Associate Professor

• Robotics
• Artificial Intelligence
• Human-Machine Interaction
• +5 more

Dr. Ning Wang is an Associate Professor in Robotics and AI at Sheffield Hallam University's Department of Computing. She holds a PhD in Electronics Engineering from The Chinese University of Hong Kong (2011). Her research focuses on human-machine interaction (HMI), embodied AI, and healthcare robotics applications. She has led projects funded by EU FP7, ASTUTE 2020, and the Royal Society. Key achievements include advancements in robotic grasping, teleoperation systems, and autonomous driving algorithms. Awards include Best Paper at ICAC’24 and DISA’23. Education: PhD in Electronics Engineering (2011, The Chinese University of Hong Kong) Affiliations: Communication and Computing Research Centre; Industry and Innovation Research Institute Professional Roles: Associate Editor for International Journal of Advanced Robotic Systems and Frontiers in Computer Science Research interests span robotics, AI, and healthcare integration. Notable contributions include multimodal human-robot interaction frameworks and hybrid force/motion learning systems. Recent work on vision-guided grasping (2025) and impedance control (2024) highlights her impact in dexterous robotics. Awards include 7 major recognitions across conferences like ICAC, DISA, and IEEE forums. She actively participates in organizing international conferences (e.g., ICAC’22, ICIT’24) and serves as a grant reviewer for UKRI and NWO. Labs/Teams: Leads a robotics team focusing on embodied AI, teleoperation, and medical robotics applications. Collaborates with industry partners on autonomous systems and smart manufacturing solutions.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Dr. Mahmoud Mousa is an Assistant Professor in Computer Science and Programme Director for BSc (Hons) Computer Science programmes at Heriot-Watt University's Dubai Campus. He holds dual roles as Deputy Director of Undergraduate Studies and Programme Leader in the School of Mathematical & Computer Sciences. Previously, he served as Assistant Professor at Hertfordshire University and Zagazig University, where he contributed to a cubic satellite (ZUSAT) project with the Egyptian Space Agency. Dr. Mousa earned his PhD from the University of Liverpool, UK. His research focuses on AI applications, machine learning, computer vision, robotics, optimization algorithms, and blockchain-based solutions. Specific interests include robotic arm trajectory optimization, hybrid deep learning models, and energy-efficient automation. He has also explored trust and reputation systems and applied AI to medical imaging and cloud services. His recent work emphasizes bioinspired algorithms (e.g., whale optimization) for robotics and automation, alongside microgrid stability control. He has published over 10 peer-reviewed articles since 2015, with notable contributions to robotic arm optimization and neural network classifiers for EEG signals. His research aligns with UN SDGs related to affordable and clean energy, industry innovation, and sustainable cities. No scientific awards are explicitly mentioned. He actively supervises PhD students and contributes to multidisciplinary educational programs bridging technology, science, and arts.

Edoardo MilanaView profile

Professor

• Soft Robotics
• Biomimetics
• Microfabrication
• +3 more

Jun.-Prof. Dr. Edoardo Milana is a Principal Investigator at the Cluster of Excellence livMatS and the Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), University of Freiburg. He leads projects on 'Inflatable Snapping Metamaterials for Next Generation Soft Machines' and 'SNAPVALVE - Soft snap-through electromechanical valves for autonomous soft machines.' His research focuses on soft robotics, biomimetics, microfabrication, and mechanics, with emphasis on metamaterials for actuation and sensing. Current positions include leadership in livMatS and FIT, where he oversees the 'Demonstratoren' (demonstrators) unit. He supervises doctoral researcher Xin Li and postdoc Dr. Hugo Oliveira. His work bridges mechanical engineering, material science, and robotics, addressing challenges in autonomous systems and bioinspired design. Key projects include METAINFLATE for morphological control and SNAPVALVE for valve innovation. His lab develops monolithic meta-origami actuators, symmetry-breaking metamaterials, and proprioceptive sensors. Research outputs span journals like Science Robotics and Advanced Intelligent Systems , with a focus on nonlinear inflatable systems and biomimetic applications.

Mario MilazzoView profile

Researcher

• Multiscale Modeling
• Mechanics of Acoustics
• Biomaterials
• +4 more

Dr. Mario Milazzo is a researcher at the BioRobotics Institute of Sant'Anna School for Advanced Studies , with a current appointment at Massachusetts Institute of Technology (USA). His work bridges robotics, biomaterials, and computational modeling through interdisciplinary projects. He earned a PhD in BioRobotics (2016) from Sant'Anna School for Advanced Studies after completing his Mechanical Engineering degree at the University of Pisa (2010). Research Areas: Multiscale modeling, industrial robotics, biomaterials, and bioinspired design using deep learning. Industry Collaborations: Ge Oil&Gas, Brembo, Magneti Marelli, Piaggio. His recent publications highlight trends in industrial robotics (autonomous platforms, path planning, electro-hydraulic systems) and biomedical applications (bone regeneration, protein nanostructures, tympanic scaffolds). Key methodologies include sonification, molecular modeling, and AI-driven material design. Scientific Awards : Marie Skłodowska-Curie Individual Fellowships (MSCA-IF-GF) with MIT, University of Antwerp, Tufts, and University of Pisa He has co-authored 25+ international journal papers , 9 patents , and 24 conference contributions , while serving as a reviewer for 20+ journals and guest editor for Polymers (MDPI). His leadership roles in industry projects and symposium organization demonstrate his translational research focus.

• Aerospace Engineering
• Biological Sciences
• Materials Engineering
• +7 more

Dr. Sridhar Ravi is an Honorary Principal Research Fellow at the School of Engineering, RMIT University. His research focuses on bio-inspired robotics, insect flight mechanics, and flapping-wing aerodynamics. He investigates how biological systems inform engineering solutions, particularly in drones and micro-air vehicles. His work spans disciplines including aerospace engineering, biological sciences, and robotics. Research interests include biomechanics of insect flight, turbulence effects on flight stability, and bio-inspired design principles. He has contributed to understanding gap perception in bumblebees, gecko climbing kinematics, and gust mitigation strategies in flapping wings. Teaching interests cover biomechanics, flight mechanics, and unmanned aerial vehicles. Dr. Ravi collaborates internationally and supervises research projects like 'Bioinspired Perching and Crawling Drones'. His email is sridhar.ravi@rmit.edu.au, and he is based at RMIT's City Campus, Australia.

Wenbo LiuView profile

Assistant Professor

• Additive Manufacturing
• Composite Materials Design
• Food Engineering
• +5 more

Wenbo Liu is an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University, affiliated with the Coastal Research and Extension Center. He holds a PhD in Mechanical Engineering from Stevens Institute of Technology, an MS from the same institution, and a BS in Mechanical Engineering from Taiyuan University of Technology, China. His research focuses on additive manufacturing, composite materials, fluid mechanics, and machine design, with particular emphasis on seafood processing machines, vegan seafood 3D printing, and waterjet cutting systems. Dr. Liu's expertise includes the development of automated food processing systems, material extrusion additive manufacturing for silicone composites, and energy harvesting technologies. His work bridges mechanical engineering principles with food industry applications, addressing challenges in seafood singulation, fish cutting automation, and sustainable material utilization. He actively recruits PhD students to advance research in waterjet cutting, fish processing automation, and food 3D printing technologies. His research portfolio includes collaborations with the Mississippi Agricultural and Forest Experiment Station and involvement with neural engineering initiatives. He maintains certifications in structural inspection from the International Code Council, enhancing his contributions to industrial and infrastructure-related projects. Dr. Liu's lab at the Coastal Research and Extension Center focuses on innovative seafood processing solutions and advanced manufacturing techniques. His interdisciplinary approach combines mechanical engineering, materials science, and computer vision to drive advancements in food industry automation and sustainable production methods.

• Biophysics
• Biorobotics
• Biomechanics
• +4 more

Syn Schmitt is a Professor of Computational Biophysics and Biorobotics and Director of the Institute for Modelling and Simulation of Biomechanical Systems at the University of Stuttgart. Their research focuses on biomechanical systems, biorobotics, and musculoskeletal modeling, with applications in robotics, human motion analysis, and safety engineering. Schmitt leads interdisciplinary projects combining computational models with experimental validation, including studies on wearable actuators, bipedal locomotion, and human body simulations in accident scenarios. Key work includes developing muscle-driven biorobotic systems (e.g., ATARO arm), energy-conserving spinal models, and gaze-guided human motion prediction frameworks. Their contributions bridge biological plausibility with engineering solutions, addressing challenges in prosthetics, robotics, and automotive safety. Education: Advanced degrees in biomechanics and robotics (details not explicitly stated in text). Grants/Awards: Not explicitly mentioned in provided content. Teams/Labs: Leads the Institute for Modelling and Simulation of Biomechanical Systems, collaborating with researchers in robotics, biomechanics, and computational neuroscience. Research Interests: Musculoskeletal modeling, biorobotic systems, human motion prediction, reinforcement learning applications in biomechanics, and computational methods for injury prevention. Schmitt’s work emphasizes integrating biological principles into engineered systems, as seen in projects like bioinspired morphological development for bipedal robots and neuromuscular control strategies.

Marcello CalistiView profile

Assistant Professor

• Soft Robotics
• Underwater Robotics
• Bioinspired Engineering
• +6 more

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.

• AI
• Multimodal Analysis
• Robotics
• +3 more

Dr. Chaoyue Niu is a Researcher at the School of Computer Science, University of Sheffield. Their work focuses on AI-driven Multimodal Analysis for Paediatric Sleep Disorders and advanced robotics applications. Located at Regent Court (DCS), 211 Portobello, Sheffield S1 4DP, they specialize in interdisciplinary research combining robotics, computer vision, and healthcare technology. Research interests include robotic drilling processes, visual navigation in complex environments like forests, and embedded systems for swarm robotics. Their recent work emphasizes precision in manufacturing (e.g., spindle speed estimation) and autonomous systems for small-scale rovers. Publications highlight innovations in manufacturing automation, forest environment navigation, and depth estimation for robotic swarms. No scientific awards are listed, though their contributions span academic journals and conferences. Advising and grant details are not explicitly mentioned, but their research aligns with themes in bioinspired machine intelligence and dependable systems within the school's research portfolio.

Richard NuckolsView profile

Assistant Professor

• Biomechanics
• Neuromuscular Mechanics
• Wearable Robotics
• +8 more

Dr. Richard Nuckols is an Assistant Professor in the Department of Systems Design Engineering at the University of Waterloo. His research focuses on evaluating, assisting, and rehabilitating human movement through wearable sensing and robotics, emphasizing a human-centric bioinspired approach. He explores neuromuscular mechanics, wearable technologies, and their real-world applications in healthcare and daily life. Education: PhD in Biomedical Engineering (UNC Chapel Hill & NC State) MS in Biomedical Engineering (Virginia Commonwealth University) BS in Mechanical Engineering (Virginia Tech) Research Interests: Fundamental and applied neuromuscular mechanics Human-technology-environment interaction mechanics Development of wearable sensing and assistive technologies Application of neuromuscular principles in rehabilitation and healthy movement enhancement Advising & Teaching: Currently accepting graduate student applications Teaches BME 355: Physiological Systems Modelling (2023)

Manu MadhavView profile

Assistant Professor

• Neural Circuits
• Spatial Navigation
• Memory Systems
• +4 more

Manu Madhav is Assistant Professor at the School of Biomedical Engineering, University of British Columbia, and Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control. His research investigates neural circuit mechanisms underlying spatial navigation and memory through rodent electrophysiology and human virtual reality experiments. Research focuses on neural computation of spatial representations, virtual reality paradigms for behavior analysis, neural manifold geometry, and translational applications for Alzheimer's detection. The lab develops novel experimental systems including the Dome VR apparatus for freely locomoting rodents and non-invasive field tracking methods. Recent publications examine path integration recalibration, neural coding strategies, and geometric representations in hippocampal circuits. Field research advances include techniques for tracking electric fish in natural habitats. Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control Leads the Neural Circuits of Cognition and Control Laboratory developing neuroengineering approaches to map cognition. Research combines electrophysiology, virtual reality, computational modeling, and field biology to understand neural algorithms.