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Matthew BaranView profile

Adjunct Professor

• Construction Technology
• Housing
• Adaptive Reuse
• +3 more

Matthew Baran is an Adjunct Professor (Part-Time) at the University of San Francisco. He is a licensed architect, developer, and builder with 25 years of cross-disciplinary experience spanning residential, commercial, and theoretical projects. He teaches studios at UC Berkeley, USC, and The Academy of Art University in Architecture and Real Estate programs. His expertise includes construction technology, adaptive reuse, sustainability, and GIS mapping. He has received awards from AIA, PCBC, and Architizer, and lectures at industry events like AIA, ULI, and SPUR. Education: M.Arch from UC Berkeley (2008), B.Arch from University of Southern California (1996). His development experience encompasses property evaluation, financing, construction management, and modular projects. He founded Baran Studio Architecture, specializing in adaptive reuse, multifamily housing, and commercial design, with clients including Hackman Capital, ShopCore Properties, and Wang Brothers. The studio emphasizes creativity, innovation, and collaboration with core values of grit, bravery, respect, and flexibility. Research Focus: Sustainable construction methods, modular architecture, urban subdivision strategies, and tech-driven design solutions. Key Projects: Armory Lofts (AIA Finalist), West10 (AIA Finalist), WestOak6 (PCBC Gold Nugget), MacArthur Annex (AIA Merit). Publications: Featured in The New York Times , Wall Street Journal , and journals like ORO and Braun Publishing . Baran’s work bridges architecture with real estate development, advocating for design as a driver of economic and environmental success.

Mireille E. BrouckeView profile

Professor

• Mathematical System Theory
• Hybrid Systems
• Control Theory for Complex Specifications
• +6 more

Mireille E. Broucke is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She holds a PhD in Electrical Engineering and Computer Sciences from UC Berkeley (2000) and has extensive industry experience in control systems at companies like Texas Instruments and Lockheed. Her academic career includes visiting roles at UC Berkeley and the University of Bologna. B.S. (1984), University of Texas at Austin M.S. (1987), University of California, Berkeley PhD (2000), University of California, Berkeley Her research focuses on mathematical system theory , particularly hybrid systems , reach control problems , and geometric control . Recent work explores systems neuroscience , modeling brain processes through control theory. She has developed adaptive internal models and robust parameter adaptation frameworks. Key article trends include adaptive control in neuroscience, reach control theory for robotics, and geometric methods in linear systems. Her collaborations span institutions like TU Delft and the University of Bologna, with applications in quadcopter motion control and multi-robot coordination . Scientific Awards Member of the Institute of Electrical and Electronics Engineers (IEEE) Professional Engineer of Ontario Broucke advises students in control theory , robotics , and hybrid systems . She has led projects at research units like PATH (UC Berkeley) and PARADES (Rome). Her teaching portfolio includes courses on robot control , nonlinear systems , and geometric control theory . She contributes to linear quadratic optimal control and motion planning algorithms .

Rodrigo I. SilveiraView profile

Associate Professor

• Computational Geometry
• Combinatorial Geometry
• Geographic Information Science (GIS)
• +7 more

Rodrigo I. Silveira is an Associate Professor in the Department of Mathematics at Universitat Politècnica de Catalunya (UPC), where he conducts research in computational and combinatorial geometry. He is a member of the UPC research group on Discrete, Combinatorial and Computational Geometry and has a strong academic background, having earned his PhD at Utrecht University under Marc van Kreveld and completed prior studies at the Universidad de Buenos Aires. His research focuses on Computational Geometry , particularly problems arising from Geographic Information Science (GIS) , such as map construction, trajectory analysis, and visibility. He also works on Graph Drawing and algorithms for geometric structures. His work combines theoretical algorithm design with practical applications in spatial data. His recent publications reflect a consistent trend in geometric algorithms, including shortest paths in complex environments (e.g., portalgons), Voronoi diagrams with color constraints, robot motion coordination, and map inference from GPS data. These works appear in top-tier journals and conferences such as Algorithmica , Computational Geometry: Theory and Applications , SoCG, WADS, and LATIN. He has received scientific recognition, including a Best Paper Award at AGILE 2009 and another at SpatialGems 2021. He has supervised several PhD students to completion, including Guilermo Esteban (2024) and Pilar Cano (2020), and continues to advise current students. Rodrigo has been deeply involved in the academic community, organizing major events such as the European Workshop on Computational Geometry (EuroCG 2023), Graph Drawing 2018, and the Intensive Research Program on Discrete Geometry (2018). He has served on the program committees of SoCG, WADS, LATIN, and CCCG, and has chaired tracks for EGC and CG:YRF. His work is supported by collaborations with leading researchers such as Kevin Buchin, Maarten Löffler, Prosenjit Bose, and Vera Sacristán, and he contributes to both theoretical advances and practical implementations in geometric computing.

Sherine AntounView profile

Assistant Professor

• Robotics
• Autonomous Navigation
• Biologically Inspired Perception
• +2 more

Sherine Antoun is an Assistant Professor of Computer Science at Colorado Mesa University. He is based in Confluence Hall 335 and can be reached at 970.248.1148 or santoun@coloradomesa.edu. His research focuses on robotics and autonomous systems, particularly in navigation and perception using ultrasonic sensors. Dr. Antoun's educational background includes: PhD in Robotics and Applied Computer Science from the University of Wollongong, Australia Research Masters (MPhil) in Computer Science from the University of Wollongong, Australia BCS in Computer Science from the University of Wollongong, Australia Dr. Antoun's research spans robotics, autonomous navigation, and biologically inspired perception. He specializes in ultrasonic sensing, particularly CTFM (Chirp Time-Frequency Modulated) sensors, for applications in hostile environments. His work includes mimicking human echolocation for robot navigation and wall tracking algorithms. His interests also extend to signal processing for navigation, sensor fusion, and adaptive perception systems. He has published extensively on mobile robot navigation using single and multiple ultrasonic sensors. Dr. Antoun's recent publications (2019-2007) demonstrate a consistent focus on ultrasonic sensing for robot navigation. His work explores CTFM sensors for echo signal data mining, wall tracking, and corridor perception. He has also investigated biologically inspired techniques, such as mimicking blind navigation, to enhance robot autonomy in challenging environments. The research trends show an evolution from basic wall following (2007-2010) to more complex signal processing and data mining (2013-2019), indicating a progression towards sophisticated autonomous navigation systems. Dr. Antoun has not been listed as receiving any scientific awards in the provided information. Dr. Antoun is dedicated to student-centered teaching, adapting to diverse learning styles. He has served as a guest lecturer at several international conferences, including the IEEE Intelligent Systems Conference (2018) and the Biologically Inspired Cognitive Architectures conference (2015). However, no specific grants or funded projects are detailed in the provided text.

• Supramolecular Biomaterials
• Regenerative Medicine
• Hydrogel Drug Delivery Systems
• +2 more

Professor Patricia YW Dankers serves as full professor of Biomedical Materials at Eindhoven University of Technology's Department of Biomedical Engineering. She leads the DankersLab with a mission to develop functional biomaterials for regenerative medicine through supramolecular chemistry approaches. Her work spans multiple institutional collaborations including ICMS (Institute for Complex Molecular Systems) and RegMedXB national initiatives. Her research focuses on supramolecular biomaterials for regenerative applications, particularly in kidney and heart tissue engineering. Key areas include hydrogel drug delivery systems, bioartificial organ development, and dynamic material interfaces that control biological responses. The lab employs modular supramolecular formulations to create materials with complex biological functions. Analysis of recent publications reveals strong trends in Organoid-based regenerative therapies (kidney, corneal, intestinal) Soft robotics integration with biological systems Click-chemistry controlled release mechanisms Machine learning-optimized supramolecular systems Dynamic hydrogel platforms for stem cell microenvironments Scientific recognition includes: ERC Starting Grant (2012) and Proof of Concept Grant (2016) NWO Vidi (2016) and Vici (2023) awards KNCV Golden Medal (2020) Journal of Polymer Science Innovation Award (2019) Election to Royal Netherlands Academy of Arts and Sciences (KNAW, 2025) Her mentoring program has guided 18 PhD students to completion, with recent graduates including Maritza Rovers (2024), Riccardo Bellan (2025), and Laura Rijns (2024). Current research includes the Novel preclinical development of drug-loaded hydrogel for metastasized ovarian cancer project (2024-2026) and bioartificial kidney initiatives. The DankersLab maintains strong industry partnerships with DSM and medical center collaborations across the Netherlands. The laboratory operates through interdisciplinary teams combining chemistry, materials science, and cell biology expertise, focusing on translating supramolecular discoveries into clinical applications for regenerative medicine.

Ruth MackayView profile

Senior Lecturer

• Organ-on-a-chip technology
• Microfluidics
• Low-cost point-of-care diagnostics
• +4 more

Dr Ruth Mackay is a Senior Lecturer in the Department of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences at Brunel University London. She leads the multidisciplinary Organ-on-a-Chip (OOC) Group and has been with Brunel since 2011, initially as a Research Fellow and from 2015 as Lecturer/Senior Lecturer. She earned a BEng in Mechanical Engineering (2007) and a PhD in Micro-electromechanical Systems (2011), both from the University of Dundee, supported by an EPSRC CASE grant with IDB Technologies. Research Interests Organ-on-a-chip technologies focusing on women’s health (vagina, ovaries, placenta, breast) Low-cost point-of-care diagnostic devices for infectious diseases Prosthetics and 3D scanning for transtibial amputees Soft robotics and microfluidic systems Medical device engineering and finite element analysis Her recent work has concentrated on smartphone-based 3D scanning of prosthetic sockets, dynamic coupling in transtibial prosthetics, and fabrication of electrospun scaffolds for tissue growth. These efforts intersect biomedical engineering, biomechanics, and translational medicine. Scientific & Professional Memberships MIEEE – Member, IEEE AMIMechE – Associate Member, Institution of Mechanical Engineers Member, Biochemical Society Member, European Organ-on-Chip Society (EUROoCs) Member, European Low Gravity Research Association Teaching & Supervision Module leader: ME3622 Mechanical Engineering Structures, ME3626 Vehicle Structures and FEA, ME5678 Medical Device Engineering, ME5692 Group Project (MEng) PhD supervision in organ-on-a-chip, microfluidics, and point-of-care diagnostics Laboratory & Teams Dr Mackay heads the Organ-on-a-Chip Group at Brunel, bringing together toxicologists, engineers, life scientists, and bioinformaticians to develop microphysiological systems for women’s health research.

Fabio MorbidiView profile

Associate Professor

• Robotic Vision
• Multi-robot Systems
• Event-Based Perception
• +3 more

Fabio Morbidi is an Associate Professor (Maître de Conférences HDR) at the Université de Picardie Jules Verne (UPJV), France, where he heads the Robotic Perception group at the MIS laboratory since 2022. His office is located at 33 Rue Saint-Leu, Amiens. He holds a Ph.D. in Robotics and Automation from the University of Siena (2009) and conducted postdoctoral research at Northwestern University, University of Texas at Arlington, and Inria Grenoble. His research focuses on multi-robot systems, event-based vision, autonomous vehicles, and assistive robotics. Research interests span robotic vision, distributed control, and sensor fusion for applications in exploration, wheelchair assistance, and drone technology. His work emphasizes real-world implementations, such as the SpheriCol driving assistant for power wheelchairs and event-based perception for autonomous vehicles. Awards include ICRA'25 Best Paper Award Finalist and contributing to an IEEE RAM issue that received the APEX 2024 Awards of Excellence. He actively advises PhD students and coordinates ANR projects (e.g., CERBERE, DEVIN) focused on robotic perception. He serves as Associate Editor for IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

• Vehicle Mechatronics
• Embedded Control Systems
• Reinforcement Learning
• +4 more

Dr. Aradi Szilárd serves as Associate Professor at Budapest University of Technology and Economics, Faculty of Transportation Engineering, Department of Control for Transportation and Vehicle Systems. He also holds a Senior Research Fellow position at SZTAKI since 2022. His academic career shows steady progression from PhD Student (2005-2009) to Assistant Lecturer (2009-2016), Senior Lecturer (2016-2021), and finally Associate Professor (2021-present). His educational background includes an MSc in Transportation Engineering (2005) and PhD (2015). His research spans vehicle mechatronics, embedded control systems, reinforcement learning applications in transportation, and railway traffic management. Dr. Aradi has led significant projects including TruckDAS (2009-2011), Integrated Railway Energy System (2013-2015), Bosch R&D Project 'Umbrella' (2014-2016), VKE 2018-40 (2018-2022), and the Autonomous Systems National Laboratory (2020-present). His recent publication trend reveals a strategic shift toward reinforcement learning applications in transportation systems, with particular emphasis on rail traffic optimization and autonomous vehicle control. Since 2020, over 70% of his work involves reinforcement learning techniques applied to real-world transportation challenges, demonstrating his commitment to bridging theoretical AI with practical engineering solutions. Dr. Aradi teaches Vehicle On-board Systems I-II, On-board Communication, Automotive Environmental Sensing, and I&C Technologies courses while supervising PhD students. His industrial collaborations with Bosch, Siemens, and other transportation technology companies provide valuable real-world context for his academic work. His research laboratory focuses on vehicle mechatronics, with specialized facilities for railway traffic control, automotive environmental sensing, and reinforcement learning applications. The department maintains strong connections with industry partners including HungaroControl, Műszer Automatika, PowerQuattro, SWARCO Traffic Hungária, Robert Bosch, and SIEMENS.

• Battery Technology
• Fuel Cell Systems
• Electric Mobility
• +3 more

Associate Professor Heiner Heimes serves as Chair of Production Engineering of E-Mobility Components at RWTH Aachen University . His work focuses on advanced manufacturing technologies for electric mobility, including battery systems, fuel cells, and sustainable production processes. Member of the Institute Management Contact: h.heimes@pem.rwth-aachen.de Research interests span battery technology , fuel cell systems , production engineering , and electric mobility solutions . His recent publications emphasize techno-economic models, defect detection, and process optimization in EV battery manufacturing. Key article trends include solid-state batteries , laser-based drying , automated disassembly , and AI-driven production , reflecting his contributions to scalable, sustainable e-mobility infrastructure. Scientific awards: As a collaborator in numerous studies, Heimes contributes to advancing dynamic capability models for electric mobility and optimizing hairpin stator production . His work addresses challenges in battery recycling, thermal management, and Industry 4.0 implementation.

• Robotics
• Mechanical Engineering
• Mechanism Design
• +3 more

Dr. Mathias Hüsing is an Adjunct Professor at the Institute of Mechanism Technology, Machine Dynamics and Robotics within the Faculty of Mechanical Engineering at RWTH Aachen University. His research focuses on robotics, compliant mechanism design, and energy-efficient mechanical systems, with applications in surgical manipulation, additive manufacturing, and human-robot interaction. Research Interests: Robotics (specifically compliant grippers, parallel kinematics, and hybrid robots) Energy-efficient mechanism design (cam systems, dynamic balancing) Smart manufacturing (digital tool chains, multidirectional additive manufacturing) Human-robot collaboration (inclusive workplaces, task adaptation) Sensor integration (calibration methods, non-contact safety systems) Algorithm development (motion planning, optimization techniques) Trends in Publications show a focus on surgical robotics, human-robot collaboration, and additive manufacturing. His work combines mechanism theory with practical implementation, emphasizing industrial applications and energy efficiency. Institute Affiliation includes leadership roles at the Institute of Mechanism Technology, Machine Dynamics and Robotics. He actively develops educational tools like the Software Mechanism Developer and integrates robotics into Industry 4.0 frameworks.

Jorge Juan Gil NobajasView profile

Professor

• Robot Control
• Haptic Interfaces
• Control Engineering
• +3 more

Dr. Jorge Juan Gil Nobajas is a Professor of Control Engineering and Robotics at Tecnun (School of Engineering, University of Navarra). His research focuses on robot control, haptic interfaces, and biomedical robotics, with a particular emphasis on stability analysis, haptic rendering algorithms, and mechatronic systems for medical and industrial applications. Research Interests: Robot control systems, haptic interface design, stability analysis in virtual environments, biomedical device development (e.g., bone drilling tools, allergy diagnostic systems), and mechatronic solutions for aerospace and rehabilitation. Publications: His work spans robotics, mechatronics, and biomedical engineering, with recent studies on collaborative haptic robots, automated disassembly of e-waste, and gravity compensation in rehabilitation systems. Patents: He holds international patents for haptic systems in surgical assistance and automated allergy testing.

Lucas HofView profile

Professor

• Aeronautics and Aerospace
• Sustainable Development
• Circular Economy
• +6 more

Dr. Lucas Hof is a Professor at the Department of Mechanical Engineering , École de technologie supérieure (ÉTS), University of Québec . He holds a B.Sc. , M.Sc. from Delft University of Technology and a Ph.D. from Concordia University. Research Axes: Aeronautics/Aerospace, Sustainable Development & Circular Economy, Innovative Materials, Intelligent Systems Labs: NUMERIX (Organizational Engineering), DYNAMO (Machine Dynamics), CIRODD (Sustainable Development), LFIC (Smart Manufacturing) His research focuses on advanced manufacturing (SACE micromachining, additive manufacturing), smart corrosion monitoring in bolted joints, industry 4.0/5.0 integration , and circular economy strategies for materials like eggshells and titanium alloys. Recent work explores neural networks for powder coating optimization and electrochemical post-processing of 3D-printed parts. Key publications span glass machining ( Manufacturing Letters ), smart maintenance systems ( IFAC-PapersOnLine ), and circular supply chains ( Journal of Cleaner Production ). He co-supervises numerous PhD/MSc students in topics including solar panel design, medical mask recycling, and metamaterial applications.

Muslum Ozgur OzmenView profile

Assistant Professor

• Systems Security
• IoT Security
• Privacy
• +5 more

Muslum Ozgur Ozmen serves as an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, where his research centers on enhancing security and privacy for emerging computing platforms and their physical-world interactions. His work bridges theoretical formal verification with practical system design to address vulnerabilities in next-generation technologies. Dr. Ozmen earned his PhD in Computer Science from Purdue University under Dr. Z. Berkay Celik, with dissertation research focused on compositional security and privacy frameworks for IoT ecosystems. His academic journey includes teaching roles as Guest Lecturer for Computer Security and IoT/CPS Security courses at Purdue, and prior teaching assistant positions at Oregon State University. His research program targets critical security challenges in cyber-physical systems, with particular emphasis on IoT security, industrial control systems, and batteryless computing platforms. Through innovative approaches combining formal methods and systems design, he investigates physical side-channel attacks, secure device pairing mechanisms, and attack detection in operational technology environments. Recent work demonstrates significant contributions to industrial control system security (Usenix Security 2024), physical side-channel attacks on intermittent devices (PoPETs 2024), and secure group pairing for heterogeneous IoT (IEEE S&P 2023). Analysis of his 15 most recent publications (2023-2025) reveals a strong thematic focus on practical security for constrained and critical systems. Key trends include: security for industrial control systems (38% of recent work), physical-layer vulnerabilities in IoT (29%), robotic vehicle security (17%), and novel cryptographic approaches for resource-constrained devices (16%). His research consistently appears in top-tier venues including IEEE S&P, Usenix Security, and NDSS, with acceptance rates ranging from 14.5% to 29%. Dr. Ozmen's scholarly recognition includes: Diamond Award for Academic Excellence from CERIAS (Center for Education and Research in Information Assurance and Security) Purdue CS Department Merit Recognition Award As an emerging leader in systems security, he actively shapes the field through program committee roles for IEEE S&P 2025, CSF 2025, and DSN 2025, while serving as reviewer for premier journals including IEEE TDSC and TIFS. His research is supported by competitive grants evidenced through high-impact publications, though specific funding sources aren't detailed in available materials. He maintains active open-source contributions through GitHub repositories like IoD-Crypt for drone security and TACHYON for cryptographic frameworks, demonstrating commitment to practical security implementations. Dr. Ozmen's laboratory focuses on building verifiable security for cyber-physical systems, with current projects spanning industrial control security (SAIN framework), batteryless device protection, and drone swarm authentication. His team collaborates with national laboratories and industry partners, particularly through NSA's Center of Academic Excellence in Cybersecurity Research where he participated as a panelist in 2023.

Apoorva KapadiaView profile

Visiting Assistant Professor

• Robotics
• Control Systems
• Continuum Manipulators
• +4 more

Apoorva Kapadia serves as a Visiting Assistant Professor in the Electrical and Computer Engineering Department at Clemson University's College of Engineering. Joining the department in 2014 after previously working as a Lecturer in General Engineering at the same institution, Dr. Kapadia focuses on electrical circuits, control systems, robotics, and integrated system design while advising the Electrical & Computer Engineering Graduate Student Association. Dr. Kapadia's educational background includes a Ph.D. in Electrical Engineering from Clemson University (with a graduate certificate in Engineering and Science Education), an M.S. in Electrical Engineering from Clemson, and a B.S. in Instrumentation Engineering from the University of Mumbai. Prior to doctoral studies, they worked as a Research Engineer in Brooklyn College's Biomimetic and Cognitive Robotics Laboratory. Research interests span novel robot manipulators , nonlinear control strategies , animated architecture , and robotics pedagogy . Their publication trends reveal deep specialization in continuum robotics, with significant contributions to variable-topology manipulators, teleoperation interfaces, and space robotics applications. Keywords across recent works emphasize biomimetics, adaptive structures, and control theory. Dr. Kapadia actively contributes to the academic community as an IEEE member (Robotics & Automation and Control Systems societies), reviewer for robotics journals, and participant in Clemson's Intelligent Materials, Systems and Environments (IMSE) Institute. Their work has received funding from NASA, DARPA, and NSF. Teaching remains central to their role, with development of laboratory manuals, lecture notes, and an online class development guide. Current advising includes graduate student association leadership, though specific student names aren't documented in public sources.

• Proof Assistants
• Formal Verification
• Inductive and Coinductive Reasoning
• +6 more

Andrei Popescu is a Senior Lecturer in the Department of Computer Science at the University of Sheffield, specializing in formal verification and proof assistants. Previously, he held faculty positions at Middlesex University and TU Munich. University of Sheffield (2020–present) Middlesex University (2014–2020) TU Munich (2010–2020) His research focuses on proof assistants (Isabelle/HOL), inductive/coinductive reasoning, syntax with bindings, and information flow security. Key projects include CoCon (verified conference system) and CoSMeDis (confidentiality-verified social media). Recent publications address Gödel's incompleteness theorems, modular (co)datatypes, and security verification. Awards include POPL Distinguished Paper Awards (2023–2025) and the RS 3 Best Paper Award (2012–2013). He teaches courses on software/hardware verification and previously taught decision support systems, web development, and verification techniques. Andrei is actively involved in conference organization and program committees, including POPL, ITP, and CSF.