Find Academic Supervisors

• Machine Automation
• Autonomous Mobile Working Machines
• Heavy-Duty Robotics
• +4 more

Professor Jouni Mattila is a leading academic in Machine Automation at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Automation Technology and Mechanical Engineering department. He is part of the IHA-Innovative Hydraulics and Automation research group. His expertise spans autonomous mobile working machines, nonlinear control engineering, and safety-critical systems like those in the ITER project. He holds a Technical Editor role in ASME/IEEE Transaction on Mechatronics (2015-2020). Research interests include real-world autonomous systems, whole-body motion control for rough-terrain robots, energy-efficient actuators, and teleoperation systems. His work integrates advanced control theory, AI, and robotics for heavy-industry applications. Recent publications focus on robust control frameworks, LiDAR-inertial SLAM navigation, and fault-tolerant systems for mobile robots. Publications highlight advancements in hydraulic/electromechanical actuator systems, visual-inertial feedback control, and energy-efficient robotics. Awards/recognitions are not explicitly listed, but his contributions are evident through collaborations with Finnish industry and big science projects. Advising focuses on MSc and Dr (Tech) students in robotics and automation, with a mission to bridge academia and industry for high-tech innovation. Labs/teams include the Intelligent Hydraulics and Automation (IHA) group, emphasizing practical R&D in cleantech and heavy-duty robotics. Ongoing projects address challenges in autonomous rock-breaking systems, exoskeleton control, and energy-efficient robotic actuators.

Nikhil ChopraView profile

Professor

• Nonlinear control
• Robotics
• Control Systems
• +5 more

Dr. Nikhil Chopra is a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park, with affiliate appointments in Electrical and Computer Engineering. He earned his Bachelor of Technology from IIT Kharagpur (2001) and his M.S. and Ph.D. from University of Illinois at Urbana-Champaign (2003, 2006). As Director of Undergraduate Studies, he leads academic programs while advancing research in systems, control, and robotics. His work focuses on robotic system control, soft robotics, teleoperation, and machine learning integration. Research highlights include co-authoring the book *Passivity-Based Control and Estimation in Networked Robotics* (2015), co-chairing the IEEE Technical Committee on Telerobotics, and serving as Associate Editor for *Automatica* and related journals. His lab, the Semi-Autonomous Systems Lab, explores control-theoretic frameworks for robotics and optimization, collaborating with institutions like Sintef and IEEE RAS Technical Committees. Key projects involve underwater robotics navigation, cyber-physical system privacy, and distributed optimization algorithms. His team has exhibited strong presence at ICRA and IROS conferences, including awards for work on 3D water quality mapping and control frameworks. Current initiatives include robotic parasitic arrays for communication enhancement and secure bilateral teleoperation systems. Lab: Semi-Autonomous Systems Lab (SAS Lab) Affiliations: Institute for Systems Research, Maryland Robotics Center Recent Funding: NSF grants, industry partnerships

Chen BinbinView profile

Associate Professor

• Wireless Networking
• Distributed Systems
• Cyber Security for Critical Infrastructures
• +3 more

Chen Binbin is an Associate Professor and Associate Head of Pillar (Innovation and Enterprise) in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He serves as Deputy Director for the Future Communications Research and Development Programme (FCP), Singapore. Previously, he was a Principal Research Scientist at the Advanced Digital Sciences Center (now Illinois ARCS), affiliated with the University of Illinois. Education: PhD in Computer Science from National University of Singapore, and Bachelor's from Peking University. Research focuses on wireless networking, distributed systems, and cyber security for critical infrastructures like smart grids and industrial control systems. His work addresses secure communications, intrusion detection, and resilience against cyber-physical threats. Notable contributions include error-estimating coding, provenance verification in ICS, and AI-driven network security solutions. Key awards include the 2010 ACM SIGCOMM Best Paper Award for error-estimating coding research. His grants span agencies like Singapore's National Research Foundation (NRF), Cyber Security Agency (CSA), and Energy Market Authority (EMA). He leads projects on secure smart grid communication, industrial control system defense, and AI-enhanced cybersecurity tools. Technical leadership involves developing frameworks like CyberSAGE for security assessment and CMD for IoT malware detection. Active in collaborations with industry and government, his work bridges theory and practice in securing critical infrastructure systems.

• Biofluid Dynamics
• Biomedical Engineering
• Biomechanics
• +7 more

Joseph van Batenburg-Sherwood is a Lecturer in Biofluid Mechanics at Imperial College London's Department of Bioengineering (Faculty of Engineering). He leads the vBS Lab and holds a Royal Academy of Engineering Research Fellowship (2017–2022). His research focuses on biofluid dynamics, particularly in microvascular diseases, intraocular pressure regulation, and ventilator design for resource-limited settings. Education: MEng in Mechanical Engineering, King’s College London (2005–2009) PhD in Biofluid Dynamics, University College London (2009–2013) Research interests include experimental techniques for microscale biological flow analysis, with specializations in: Red blood cell dynamics in microvascular diseases Aqueous humor flow mechanics in glaucoma Ventilator design optimization Benchtop perfusion systems (e.g., iPerfusion) Publications emphasize translational research in ocular fluid dynamics and medical device innovation. Notable contributions include consensus guidelines for outflow facility measurement protocols and MMP-3-based glaucoma therapies. Advising: No listed advisees. Grants: Unspecified in provided text. Labs: vBS Lab at Imperial College London's White City Campus.

• Soft Robotics
• Microfluidics
• Nanofabrication
• +3 more

Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .

• Computer Networks
• Unmanned Aerial Vehicles (UAVs)
• Semantic Communication
• +12 more

Gökhan Seçinti is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He currently serves as Vice Dean and has previously held the role of Vice Department Head. His research focuses on next-generation wireless networks, UAV communications, semantic communication, and AI-driven networking solutions. Research Interests: His work spans Unmanned Aerial Vehicles (UAVs) , Semantic and Task-Oriented Communication , Software-Defined and Cognitive Networks , 6G Communications , and AI in Networking . He develops practical testbeds for deep learning-based communication architectures and explores digital twin applications in aerial networks. Publication Trends: Recent publications emphasize decentralized UAV service deployment, beam alignment using UWB localization, TDMA scheduling for aerial swarms, and semantic flow control. These reflect a strong trend toward intelligent, adaptive, and context-aware communication systems for IoT and mobility. Best Paper Award, IEEE, 2022 Best Conference Paper, IEEE, 2016 Best Poster Paper Award, IEEE, 2015 Advising and Grants: He has supervised 4 academic works and leads multiple funded research projects, including TÜBİTAK and SRP grants on federated learning in flying networks, semantic VANETs, AI-based intrusion detection, and UAV-assisted IoT for crisis management. Labs and Teams: His work is supported by active research teams at ITU, focusing on testbed development using SDRs, digital twins, and real-world deployment of UAV networks. He collaborates internationally, including past affiliations with Northeastern University.

Ajay KapurView profile

Professor

• Human-Computer Interaction
• Artificial Intelligence in Music
• Mechatronic Musical Instruments
• +5 more

Ajay Kapur serves as Associate Provost for Creative Technologies and Director of the Music Technology program (MTIID) at California Institute of the Arts. With an interdisciplinary background spanning computer science, electrical engineering, and music, he bridges technological innovation with artistic expression through leadership in academic programs and entrepreneurial ventures. His research centers on symbiotic human-machine interaction for artistic creation, particularly exploring computer improvisation with humans through Indian Classical music frameworks. This manifests in developing programmable mechatronic instruments, sensor-based interfaces, and AI-driven systems for musical expression. His work extends traditional techniques while creating new performance paradigms like the globally touring Machine Orchestra and KarmetiK Orchestra. Kapur's recent publications reveal evolving expertise from music robotics to blockchain applications, with significant focus on NFT systems, tokenization, and immersive environments. His scholarly output demonstrates consistent innovation at the intersection of artistic practice and emerging technologies. As an educator and entrepreneur, he has co-founded companies in edtech and AI while authoring foundational texts like Digitizing North Indian Music and Introduction to Programming for Musicians and Digital Artists . His performances at venues including LACMA, Singapore Arts Festival, and the 2010 Winter Olympics showcase practical applications of his research.

Craig A. ChinView profile

Associate Professor

• Digital Signal Processing
• Machine Learning
• Biomedical Signal/Image Processing
• +7 more

Craig A. Chin is an Associate Professor in the Department of Electrical Engineering at Kennesaw State University. He holds a Ph.D. and M.S. in Electrical Engineering from Florida International University (2006, 2001) and a B.S. in Electrical and Computer Engineering from the University of the West Indies (1995). Research Interests: Digital Signal Processing for Biomedical Applications Machine Learning in Biomedical Signal/Image Analysis Wireless Body Area Networks (WBANs) for Healthcare Network Security in Resource-Constrained Environments Biometric Authentication for Wireless Sensor Networks Innovations in Engineering Education (Cooperative/Active Learning, Humanities Integration) Article Trends: His publications (2001–2019) focus on Biomedical Signal Processing (EMG/Eye-Gaze Integration, Stress Detection), WBANs for mHealth , and Engineering Education Pedagogy . Recent work (2013–2019) emphasizes Cooperative Learning Strategies and Wireshark-based Network Security Labs . Academic Contributions: Craig has taught courses such as Biometrics, Data Communications, Biomedical Instrumentation, and Medical Electronics. He actively explores future research on biometric-driven security for Body Area Sensor Networks and active learning strategies in online education.

Fendy SantosoView profile

Researcher

• Cybersecurity
• Artificial Intelligence
• Autonomous Systems
• +12 more

Dr. Fendy Santoso is a leading researcher and Cyber-Physical Lead at the Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Australia. He also holds a Visiting Fellow position at the School of Engineering and Technology, UNSW Canberra, and has held visiting roles at the University of Cambridge and Cranfield University. His work bridges cybersecurity, AI, and autonomous systems, with significant impact in UAV security and cyber-physical resilience. Education: PhD in Electrical Engineering, University of New South Wales (Awarded: 21 Jun 2012) Master of Electrical and Computer Systems Engineering, Monash University (Awarded: 07 Jun 2007) Dr. Santoso’s research focuses on adversarial machine learning, UAV security, intrusion detection in robotic systems, and cyber-secure digital twins. His work integrates AI, control theory, and cybersecurity to enhance the resilience of autonomous systems. He has pioneered research in securing ROS-based platforms and defending against GPS spoofing and DoS attacks in unmanned vehicles. His recent publications (2020–2025) highlight a strong trend in applying deep learning, fuzzy logic, and physics-informed models to detect and mitigate cyberattacks in UAVs and UGVs. Key themes include intrusion detection systems, secure digital twins for agriculture, and intelligent transportation systems enabled by drones. His work is frequently published in IEEE Transactions and top-tier conferences. Scientific Awards and Grants: Vice-Chancellor’s Distinguished Early Career Travel Fellowship, University of Wollongong (2019) ARC Linkage Project Grant (LP230100083) on adversarial machine learning for UAVs (2024) CSIRO-funded AgriTwins project on cyber-secure digital twins for agriculture (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding and actively supervises postgraduate students. He serves as a reviewer for the Australian Research Council and technical program committees of major AI and engineering conferences. His collaborative work spans defence organisations like DSTG and the U.S. Army Ground Vehicle Systems Centre, as well as international academic institutions. He is a Senior Member of IEEE and leads research in labs focused on cyber-physical systems, autonomous robotics, and AI-driven security frameworks. His team develops real-time detection tools for cyberattacks on military and agricultural robots, contributing to critical infrastructure resilience.

Siavash PourkamaliView profile

Associate Professor

• MEMS
• NEMS
• Microsystems
• +7 more

Siavash Pourkamali is an Associate Professor in the Department of Electrical Engineering at the University of Texas at Dallas, within the Erik Jonsson School of Engineering and Computer Science. His research focuses on MEMS, NEMS, and microsystems, particularly in the development of thermally actuated resonators and sensors for environmental and biomedical applications. Education: PhD in Electrical Engineering, Georgia Institute of Technology, 2006 MS in Electrical Engineering, Georgia Institute of Technology, 2004 BS in Electrical Engineering, Sharif University of Technology, Tehran, Iran, 2001 His research interests include MEMS, NEMS, thermal actuation, resonant sensors, gas and pressure sensing, and real-time particulate monitoring. His work bridges fundamental microsystem design with practical applications in environmental monitoring and biomedical diagnostics. Recent publications highlight advancements in thermally actuated VHF resonators, self-sustained oscillators, and MEMS-based mass sensing. The research demonstrates a strong trend toward miniaturization, high sensitivity, and integration of resonant structures for real-time, label-free detection in both environmental and biological contexts. No scientific awards are mentioned in the provided text. Pourkamali has actively advised numerous graduate and undergraduate students, including PhD and MS candidates in electrical engineering and bioengineering. He has also served on multiple university committees, including the Graduate Council and Honors Council, and contributed to curriculum development and faculty search processes. His lab supports ongoing research in nano-positioning, resonant sensing, and microsystem integration. He leads a research group focused on MEMS and NEMS technologies, with current projects involving nano-precision measurement, aerosol impactors with embedded resonant balances, and scanning probe nanolithography systems. The lab collaborates across disciplines, particularly in biomedical and environmental sensing applications.

Cory SmithView profile

Assistant Professor

• Aerospace Physiology
• Environmental Physiology
• Neurophysiology
• +4 more

Dr. Cory Smith is an Assistant Professor in the Department of Health, Human Performance, and Recreation at Baylor University, where he directs the Human & Environmental Physiology Laboratory. His applied physiology research focuses on neurophysiological assessment methodologies, extreme environment adaptations, and sensor-based physiological monitoring systems. Current projects examine neuromuscular disease diagnostics, warfighter performance optimization, and cognitive-physiological responses in austere environments through translational research approaches. Primary research interests include: Aerospace/environmental physiology : Investigating human responses to hypoxia, cold, and gravitational stressors Neurophysiological monitoring : Developing fNIRS/EMG methodologies for clinical and tactical applications Sensor data fusion : Integrating multimodal physiological signals for performance assessment Muscle fatigue mechanisms : Studying neuromuscular adaptations during exertion under environmental constraints Analysis of recent publications (2022-2025) reveals dominant themes in neurophysiological monitoring techniques (particularly fNIRS applications), environmental stressor impacts on human performance, and rehabilitation physiology. Research consistently bridges clinical applications (neuromuscular diseases, cerebral palsy) with tactical performance optimization (marksmanship, combat fitness). Methodological innovations in EMG signal processing and hypoxia protocols form significant technical throughlines. Dr. Smith leads a research team collaborating with clinical practitioners to translate physiological insights into practical interventions for military personnel, occupational workers, and clinical populations.

Valery SheverevView profile

Professor

• Optics and spectroscopy
• Glow discharge plasma and related applications
• Micro-optical sensing
• +5 more

Valery Sheverev is an Industry Professor in the Department of Applied Physics at New York University's Tandon School of Engineering. He specializes in plasma physics, optics, and spectroscopy with applications spanning from environmental monitoring to pharmaceutical diagnostics. Education: PhD in Physics (Plasma Physics and Chemistry) from Saint-Petersburg State University, 1985 B.S./M.S. in Physics (Optics and Spectroscopy) from Saint-Petersburg State University, 1979 Research Focus: Dr. Sheverev's research encompasses several interconnected domains including optics and spectroscopy , particularly in the context of glow discharge plasma and its diverse applications. His work on micro-optical sensing has led to innovative sensor technologies, while his investigations into plasma aerodynamics bridge fundamental physics with practical aerospace applications. Additionally, his expertise in lighting technology and diagnostics of multiphase flows serves critical needs in pharmaceutical applications and environmental monitoring systems. Publications & Innovation: Over the past decade, Dr. Sheverev has published extensively in peer-reviewed journals, with his research appearing in prestigious venues such as Journal of Applied Physics , Physical Review E , and Analytical Chemistry . His work demonstrates a consistent focus on advancing understanding in plasma physics applications, particularly in atmospheric glow discharge phenomena, acoustic-plasma interactions, and novel diagnostic techniques. The temporal distribution of his publications (2002-2010) reveals sustained productivity in plasma spectroscopy, micro-optical sensors, and environmental gas analysis. Patents & Commercial Impact: Dr. Sheverev holds multiple US patents that translate his research into practical technologies: Gas Detection and Identification Apparatus (Patent No. 7,408,360, 2008) Micro-optical wall shear stress sensor (Patent No. 7,701,586, 2010) Shear stress measurement apparatus (Patent No. 7,770,463, 2010) Load cell system for measuring forces based on optical spectra shifts (Patent No. 8,276,463, 2011) Contact Information: Email: sheverev@nyu.edu Phone: 646.997.3576 Office: 2MTC, Room 1002, NYU Tandon School of Engineering

• Networked Epidemic Modeling
• Graph Signal Processing
• Control Systems
• +2 more

Victor M. Preciado is a Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. His research focuses on network science , control theory , and graph signal processing . Research Interests: Modeling and controlling spreading processes on complex networks Optimization algorithms for time-varying systems Applications in public health and cyber-physical security Selected Publications: Recent work includes machine learning for operator inference (2022), hybrid systems stability analysis (2021), and pandemic modeling frameworks (2021). Earlier contributions focus on spectral analysis of epidemics (2009-2016) and geometric optimization (2014).

• Flexible spacecraft
• Flight control systems
• Robotic systems
• +7 more

Elisa Capello is a Full Professor of Flight Mechanics at Politecnico di Torino, Department of Mechanical and Aerospace Engineering (DIMEAS). She serves as Contact person for internationalization of innovation and technology transfer, Member of the Interdepartmental Center PIC4SeR (PoliTO Interdepartmental Center for Service Robotics), and Deputy Coordinator of the Doctoral College in Aerospace Engineering. With over 100 publications, her work spans aerospace engineering, control systems, and robotics. Her research focuses on flexible spacecraft, flight control systems, robotic systems, and unmanned aerial vehicles. She designs guidance, control and navigation systems for aircraft and spacecraft, develops control systems for wind turbines and wind farms, studies flight mechanics of fixed and rotary wing aircraft, tests unmanned aerial systems, and plans mission control for autonomous systems. Her work bridges theoretical control systems with practical aerospace applications, with strong emphasis on experimental validation. Her recent publications demonstrate a strong focus on advanced control techniques for aerospace applications, particularly in UAV control, spacecraft formation flying, and robotic systems. There's a clear trend toward integrating machine learning with traditional control methods, as seen in transformer-based MPC and multimodal learning approaches. Her work spans theoretical development, simulation, and experimental validation across multiple platforms. Member of the Editorial Board of IEEE Control Systems Society (2019-) Member of the Scientific Committee - IEEE Technical Committee Aerospace Control (2016-) International FAI Judge for Helicopter Championship (2009-2015) Professor Capello supervises numerous PhD students working on topics including autonomous aerial vehicles, path planning, risk analysis, spacecraft dynamics, and control. She leads multiple research projects including CREATEFORUAS (2019-2022), Assessment of drag free control systems for L3 gravity wave observatory (2018-2019), and Guidance, Navigation and Control algorithms for in-Orbit servicing (2020-2021). Her international collaborations include institutions in the USA, Japan, and Germany. She is actively involved with the Flight Dynamics, Control and Simulation research group at DIMEAS and the DRAFT (DRones Autonomous Flight Team) at PoliTo, where she mentors students in developing autonomous flight capabilities for various applications.

• Model-Based Design
• Design Automation
• Optimization
• +4 more

Marc C.W. Geilen is an Associate Professor at the Electronic Systems group , Eindhoven University of Technology. He leads the Model-Based Design Lab and contributes to the CompSOC Lab and High Tech Systems Center . His work focuses on model-based design methods, design automation, and optimization for real-time and embedded systems. Research Keywords: Cyber-Physical Systems, Real-Time Systems, Embedded Systems, Performance Analysis, Design Automation Key Collaborations: EU ECSEL TRANSACT project, SAM-FMS project, Arrowhead Tools initiative His recent publications address weakly-hard timing constraints in server-based systems, hybrid performance modeling for cyber-physical systems, and neural network optimization for communication. Article trends span Real-Time Scheduling , Trustworthy Modeling , Neural Network Efficiency , and Resource Allocation in distributed environments. Scientific Awards : Partial-Order Reduction for Performance Analysis (2018) Teaching activities include courses in Computational Modeling , Embedded Signal Processing , and Discrete Mathematics . He collaborates across projects like TRANSACT, SAM-FMS, and Arrowhead Tools, focusing on flexible manufacturing and cloud-to-edge transitions.