Find Academic Supervisors

Berk GuelerView profile

Researcher

• Physical Human-Robot Interaction (pHRI)
• Assistive Teleoperation
• Deep Reinforcement Learning
• +5 more

Berk Gueler is a researcher at the Intelligent Autonomous Systems lab within the Technical University of Darmstadt , collaborating with the Honda Research Institute . His work bridges robotics, human-robot interaction, and machine learning. M.Sc. in Mechanical Engineering (2023) from Koç University B.Sc. in Control and Automation Engineering (2020) from Istanbul Technical University His research focuses on assisted teleoperation and physical human-robot interaction , particularly for tasks like knot untangling , collaborative drilling , and co-manipulation . He develops adaptive control systems and deep learning models to enhance robot autonomy and human-robot collaboration. The 2025 publications highlight his work on grasp prediction and knot untangling using sampling-based algorithms and human-in-the-loop control. Earlier work (2022-2023) laid the foundation with adaptive admittance controllers and deep reinforcement learning for pHRI. Supervised students on Control Barrier Functions and deformable object tracking Technical expertise in C++ , Python , KUKA FRI , ROS , and Mixed Reality (MRTK)

• Agromechatronics
• Precision Farming
• Remote Sensing
• +3 more

Deepak Hanike Basavegowda is a researcher in the Agromechatronics department at the Leibniz Institute for Agricultural Engineering and Bioeconomy in Potsdam, Germany. His work focuses on integrating deep learning , UAV technology , and IoT systems to advance sustainable agricultural practices through automated decision-making and biodiversity monitoring. Key projects : DAKIS-pro (Digital Agricultural Knowledge and Information System), Eco-Scheme 5 implementation Technologies : UAV-based remote sensing, robotics, precision farming systems His research bridges machine learning with agricultural challenges, particularly in grassland biodiversity monitoring and early disease detection . Recent publications highlight his contributions to digitalization frameworks that optimize resource use while reducing environmental impacts through automated systems. Scientific contributions span UAV-assisted deep learning for ecological monitoring, Explainable AI applications in agriculture, and intelligent fault detection systems for controlled environment agriculture. Current efforts focus on deploying these technologies for large-scale sustainable farming solutions.

• Machine Learning
• Artificial Intelligence
• Robotics
• +3 more

Alireza Habibi is a Researcher at the Chair of Learning Technical Systems within the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum. His work focuses on applying machine learning to technical systems, spanning robotics, control engineering, and medical technology applications. Contact details: Address: Universitätsstraße 150, D-44801 Bochum, Germany Email: alireza.habibi@rub.de Room: ID 2/415 Research interests include Development of learning algorithms for technical systems Integration of AI in robotics and control systems Applications in medical technology and microsystems

Yekatarina StriginaView profile

Researcher

• Robotics
• Autonomous Systems
• Intelligent Mobility
• +1 more

Yekatarina Strigina (M.Eng.) is a researcher at the Faculty of Electrical Engineering, Schmalkalden University of Applied Sciences. She works in the Labor Autonome Systeme laboratory, focusing on robotics applications for autonomous logistics. Her research explores: V2X communication for outdoor navigation Low-cost mobile robot systems Human-centered decision-making in robotics Urban logistics automation She has contributed to recent publications on autonomous robot drive systems and urban mobility solutions, with collaborations at the Mediterranean Conference on Control and Automation and ICMIM 2024.

Kirstin Hagelskjaer PetersenView profile

Assistant Professor

• Robotics and Autonomy
• Artificial Intelligence
• Bio-inspired Design
• +6 more

Kirstin Hagelskjaer Petersen is an Assistant Professor and Aref and Manon Lahham Faculty Fellow at Cornell University's School of Electrical and Computer Engineering , while also serving as Visiting Professor at Germany's Cluster of Excellence IntCDC (University of Stuttgart). She directs Cornell's Collective Embodied Intelligence Lab , pioneering bio-inspired robotics solutions. B.S. in Electro-technical Engineering (Odense University College of Engineering, 2005) M.S. in Computer Systems Engineering (University of Southern Denmark, 2008) Ph.D. in Computer Science (Harvard University, 2014) Her research focuses on collective robotic systems that emulate natural swarms (ants, bees, termites), emphasizing hardware-software co-development , human-swarm interaction , and bio-hybrid collectives . By integrating environmental dynamics into design, her work addresses scalable autonomy, error tolerance, and physical interaction optimization. Publications demonstrate expertise in soft robotics , swarm coordination , and biological-behavior translation across disciplines like entomology and architecture. Her ShadowSense technology (2020) enables touch detection through shadow imaging, reducing sensor complexity while maintaining privacy. Packard Fellowship for Science and Engineering (2019) Elisabeth Schiemann Kolleg Fellow (2016) Science Magazine Top 10 Scientific Achievement (2014) She leads NSF-funded projects on inflatable social robots for emergency guidance, collaborating with entomologists and plant scientists. Her lab develops bio-inspired solutions for digital agriculture and autonomous construction, with applications in emergency response and environmental monitoring.

Andreas GiengerView profile

Research Fellow

• Construction Robotics
• Data-based Modeling
• Fault Detection and Diagnosis
• +3 more

Dr. Andreas Gienger is a Junior Research Group Leader and Group Leader for Construction Robotics at the Institute for System Dynamics, University of Stuttgart, affiliated with the Cluster of Excellence IntCDC. He holds a Dr.-Ing. (Doctor of Engineering) degree and leads research in construction robotics, automation, and adaptive structures. Education: Master's in Technical Cybernetics, University of Stuttgart (2013–2016) Bachelor's in Mechanical Engineering, University of Stuttgart (2010–2013) Research Interests: His work focuses on data-driven approaches for robotics and structural systems, including fault diagnosis, optimization of large-scale manipulators, and cooperative control strategies. Key themes include adaptive structures, sensor integration, and real-time automation in construction. Publications: Recent articles (2020–2023) emphasize robotics applications in construction, fault-tolerant control, and data-based modeling. Trends include the integration of machine learning (CNNs, Bayesian methods) with traditional control systems for adaptive structures and industrial automation. Awards: None listed. Teaching: Courses include Trajectory Generation, Numerical Optimization, Simulation Technology, and Smart Manufacturing. He supervises projects in automation and process engineering. Labs/Teams: Leads the Construction Robotics group at the Institute for System Dynamics, collaborating on projects like the SFB1244 (adaptive structures) and IntCDC cluster.

Li ZhangView profile

Researcher

• Geodesy
• Construction Quality Assurance
• GNSS Technology
• +3 more

Li Zhang is a Senior Academic Councillor and Group Leader at the Institute of Engineering Geodesy (IIGS) within the University of Stuttgart's Faculty 6: Aerospace Engineering and Geodesy. Her work focuses on holistic quality models for construction processes, low-cost GNSS monitoring systems , and multi-sensor fusion in infrastructure projects. She leads the Quality Modeling and Sensor Fusion group within the Cluster of Excellence IntCDC, which emphasizes integrative computational design for architecture. PhD in Geodesy (2016, University of Stuttgart) Specializes in GNSS error mitigation , construction process digitization , and digital map applications for transport security Her recent publications analyze geospatial data fusion for rock cliff monitoring, real-time quality assurance in residential construction, and cost-effective positioning for mobile manipulators. She supervises students on topics ranging from terrestrial laser scanning to indoor robot localization , balancing technical precision with sustainability. Li Zhang actively contributes to the FIG Working Group 5.6 "Cost Effective Positioning" and leads the DVW working group "Quality Assurance" . Her teaching portfolio includes courses on deformation analysis , multi-sensor systems , and statistical methods for engineering students.

Vincent ReßView profile

Research Fellow

• Robotics
• Artificial Intelligence
• Computer Vision
• +3 more

Vincent Reß serves as a Research Associate and Doctoral Researcher at the Institute for Photogrammetry and Geoinformatics (IFP) within the University of Stuttgart and contributes to the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture). His research specializes in construction robotics and AI integration , with core focus areas: AI-supported collaborative control and trajectory generation for mobile manipulators in indoor construction SLAM-based real-time monitoring of dynamic construction sites Cyber-physical systems development through the Cyber-Physical Construction Platform initiative He actively teaches Computer Vision courses including specialized modules in geoinformatics and image processing, bridging theoretical AI concepts with practical construction applications.

Ekin Sila SahinView profile

Researcher

• Computational Design
• Robotics in Construction
• Material Behavior
• +3 more

Ekin Sila Sahin is a Research Associate and Doctoral Researcher at the Institute of Computational Design and Construction (ICD), University of Stuttgart, where she has worked since April 2022. She holds a Bachelor of Architecture from Istanbul Technical University and a Master of Science in Integrative Technologies and Architectural Design Research (ITECH) from the University of Stuttgart. During her studies, she gained experience in architectural offices and contributed to student organizations focused on technology education. Research Interests: Her work explores computational design methods driven by material properties, robotics, and natural systems. Key areas include 4D-printing, machine control, self-forming structures, and adaptive fabrication processes. She integrates material behavior and performance criteria to generate complex architectural solutions. Projects and Labs: As part of the Material Programming Research Group at ICD, she developed the livMatS Biomimetic Shell (Solar Gate) using 4D-printing and robotic techniques. She contributes to Cluster of Excellence IntCDC projects: AP 36: Development of Self-Forming Curved Wood Furniture AP 44: ARCHIBIOFOAM Her current work focuses on computational tools for expanding self-forming structure design.

Philipp WasserloosView profile

Researcher

• Large-scale Robotics
• Cyber-Physical Systems
• System Dynamics
• +3 more

Philipp Wasserloos is a Doctoral Researcher and Research Associate at the Institute for System Dynamics (ISYS) under the Cluster of Excellence IntCDC at the Karlsruhe Institute of Technology (KIT). His work focuses on integrating computational design with robotic construction processes. Education: M.Sc. and B.Sc. in Mechanical Engineering from KIT Current Role: Employee at ISYS since December 2023 Research Expertise: He specializes in large-scale robotics, cyber-physical construction systems, and control engineering fundamentals, particularly through his project on robotic spider cranes. His past work at ABB AG and Andreas STIHL AG involved smart electrification and construction department applications.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +7 more

Andrii Matviienko is a researcher at KTH Royal Institute of Technology, Sweden , focusing on Human-Computer Interaction in Virtual and Augmented Reality , particularly for cycling, sports, and tangible interfaces . His work addresses immersive systems , safety mechanisms , and novel input methods for dynamic environments. His research explores VR/AR applications in diverse domains: Cycling safety and navigation systems 3D interaction techniques (e.g., toe-based input) Water sports sustainability Multisensory experiences (taste modulation) Child-friendly tangible interfaces The 15 most recent publications highlight his expertise in immersive technologies , with a focus on contextual adaptability , user safety , and cross-cultural design for sports and mobility. While no explicit awards or students are documented in this dataset, his collaborations span institutions and disciplines, reflecting a multidisciplinary approach.

• Biomedical Engineering
• Wearable Systems
• Neural Networks
• +7 more

Paolo Motto Ros is a Researcher specializing in biomedical engineering, wearable systems, and low-power electronics. He has extensive experience in event-driven signal processing , functional electrical stimulation , and biocompatible sensor design , with a focus on human-machine interfaces and implantable devices. His research interests include: Biomedical instrumentation Wireless power/data transmission Surface electromyography (sEMG) Low-complexity embedded systems Plant impedance monitoring Neuroprosthetics Recent publications highlight collaborations with institutions on piezoelectric skin sensors , CMOS neural implant circuits , and plant health monitoring systems . His work spans applications in healthcare, robotics, and environmental technology.

• Artificial Intelligence
• Human-Agent Interaction
• Multi-Agent Systems
• +7 more

Jeffrey M. Bradshaw is a senior researcher at the Florida Institute for Human and Machine Cognition , with a focus on human-agent-robot teamwork, policy-based governance, and cognitive science applications in AI. He co-authored over 126 publications from 1987–2025, collaborating extensively with institutions like NASA, Carnegie Mellon, and MIT. His research spans Artificial Intelligence , Human-Computer Interaction , and Multi-Agent Systems , emphasizing interdependence, trust, and adaptability in collaborative environments. Key contributions include the Coactive Design framework and policy management approaches for semantic web services and cyber defense. 15 Most Recent Articles highlight trends in human-agent coordination (2025), DARPA robotics (2014), and policy-driven systems (2003–2014). Bradshaw’s work addresses challenges in adjustable autonomy , trust modeling , and semantic data compliance , with applications in space missions, cyber operations, and coalition environments. He has no listed scientific awards or advisees in this dataset.

• Haptic interfaces
• Tangible user interfaces
• Shape-changing displays
• +4 more

Sean Follmer is an Associate Professor in the Department of Mechanical Engineering at Stanford University's School of Engineering. He leads a research group focused on human-computer interaction with particular emphasis on haptic interfaces, shape-changing displays, and accessibility technologies. His work bridges mechanical engineering principles with interactive systems design to create novel physical interfaces. Follmer completed his PhD at MIT Media Lab in 2015, where he worked on shape displays and tangible interfaces. His doctoral research laid the foundation for his ongoing work in dynamic physical interfaces that can change form to provide rich haptic feedback and tangible interaction. His research interests span several interconnected areas: haptic interfaces that provide touch-based feedback in virtual environments; shape-changing displays that dynamically alter their physical form; tangible user interfaces that leverage physical objects for digital interaction; and accessibility technologies, particularly for blind and visually impaired users. Recent work has increasingly focused on making data visualization and educational tools accessible through multimodal and tactile interfaces. His approach often combines mechanical design, control systems, and user-centered design to create systems that extend human perception and interaction capabilities. Analysis of his recent publications reveals a strong trend toward accessibility applications, particularly in education for blind and low-vision users, while maintaining technical depth in haptics and physical interface design. His work on electroadhesion, swarm robotics for haptic feedback, and non-visual interaction techniques demonstrates both theoretical rigor and practical application. The interdisciplinary nature of his research bridges mechanical engineering, computer science, and design. As a mentor, Follmer has supervised numerous students who have gone on to publish as first authors in top HCI venues. His lab appears to foster collaborative work, with many publications involving multiple students and cross-institutional collaborations. While specific grant information isn't visible in the publication record, the volume and diversity of projects suggest substantial research funding from multiple sources. Follmer's lab focuses on physical computing and interactive systems, with particular expertise in actuation mechanisms for shape displays, haptic feedback systems, and accessibility technologies. The research group appears to maintain strong connections with both the mechanical engineering and computer science communities, participating in conferences across these domains. Recent work suggests growing interest in the ethical implications of sensory substitution technologies and the social dimensions of interactive systems.

Bernhard BeckertView profile

Professor

• Formal Methods
• Software Verification
• Security and Dependability
• +9 more

Prof. Dr. Bernhard Beckert is a faculty member at the Karlsruhe Institute of Technology (KIT) , affiliated with the Department of Informatics and the Institute of Information Security and Dependability (KASTEL) . His research focuses on formal verification of software systems, particularly through logic-based methods, security and dependability analysis, automated deduction in classical and non-classical logics, and applications to voting algorithms, industrial automation, and scientific software. Email: beckert@kit.edu Office: Building 50.34, Room 224, KASTEL, Am Fasanengarten 5, 76131 Karlsruhe, Germany He develops and applies the KeY system for deductive verification of object-oriented software, with applications in Java, PLCs, and safety-critical systems. His work addresses challenges in regression verification, information flow security, and multi-phase verification for robotic surgery. Recent publications focus on equivalence analysis of control software variants, program slicing, loop bound computation, and formalization of voting rules using bounded model checking. Key contributions include integrating design and verification workflows, dynamic logic extensions for concurrency, and tools for security-sensitive software engineering.