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Tino WaltherView profile

Professor

• Construction Management
• Project Control
• BIM (Building Information Modeling)
• +4 more

Prof. Dr.-Ing. Tino Walther is currently serving as Professor of Construction Management and Project Control at the Technical University of Mittelhessen (THM) since October 2023. Previously, he held roles at STRABAG AG and Bauhaus University Weimar where he completed his doctoral studies (2017-2021). His career spans academic research, industry leadership, and technical project management in civil and bridge construction. Education includes an M.Sc. in Management Studies (Construction/Real Estate/Infrastructure) from Bauhaus University Weimar (2009-2014), dual training as a civil and road construction worker with integrated studies (2007-2009), and civil engineering studies at the University of Kassel (2008-2009). Research focuses on digital transformation in construction , including BIM applications, automated data acquisition, 5D process management, and optimizing construction performance through algorithmic frameworks. His work emphasizes bridging gaps between theoretical models and practical implementation in infrastructure projects. Recent publications (2019-2024) highlight advancements in automated construction monitoring, VR-based training systems, and path-planning algorithms for heavy machinery. His methodologies integrate convex hull algorithms, point-cloud comparisons, and image recognition to improve site control and project outcomes. No scientific awards were explicitly listed in the text. His professional activities include leading construction processes departments and advising on linear infrastructure projects. He maintains active engagement with industry through collaborations like the IABSE Congress and ECPPM conferences.

David BertoinView profile

Associate Professor

• Representation Learning
• Computer Vision
• Reinforcement Learning
• +2 more

David Bertoin is a Research Engineer at Photoroom, focusing on training diffusion models for image editing. He concurrently serves as a part-time Associate Professor at INSA Toulouse, where he teaches and conducts research. Previously, he worked as a Research Scientist at IRT Saint-Exupéry, contributing to the DEEL and ANITI research programs. His research interests center on representation learning, computer vision, and reinforcement learning, with a particular emphasis on improving generalization and robustness in these domains. Bertoin actively participates in academic conferences, presenting work such as Local Feature Swapping at ICLR 2022 and studies on ReLU activation functions at Neurips 2021. His GitHub repositories reflect his engagement in projects like CLOP (Local Feature Swapping) and teaching modules for M2 MAPI3. He maintains an active presence in open-source contributions related to deep learning and reinforcement learning frameworks. Education details are not explicitly provided in the text, but his professional trajectory suggests advanced qualifications in computer science or artificial intelligence. His research outputs span theoretical advancements in neural networks and practical applications in autonomous systems, cybersecurity, and drone technology. Collaborations within ANITI and DEEL highlight his involvement in interdisciplinary AI initiatives.

• Non-Destructive Evaluation
• Additive Manufacturing
• Ultrasound Testing
• +7 more

Rastislav Zimermann is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. His work is centered on advancing non-destructive evaluation (NDE) techniques for modern manufacturing processes, particularly additive manufacturing such as Wire + Arc Additive Manufacturing (WAAM). His research interests include in-process inspection, ultrasound and eddy-current testing, sensor fusion, and robotic automation for structural integrity assessment. These areas are critical for ensuring quality and reliability in aerospace, energy, and industrial applications. The recent articles highlight a strong trend in real-time, multi-modal NDE integration within additive manufacturing, with a focus on automation, data fusion, and high-temperature environments. His work bridges materials science, electrical engineering, and robotics to solve industrial inspection challenges. The BINDT Annual Conference Award (2019) Dr. Zimermann has been actively involved in research projects, including the EPSRC-funded Doctoral Training Partnership (2018–2022), where he served as a Research Co-investigator. He has contributed to professional outreach through invited talks and media engagement, such as participation in TCT-360 3D Printing and Additive Manufacturing Intelligence. While no formal advisees are listed, his supervisory role in collaborative projects and thesis supervision indicates engagement in academic mentorship. He is part of a dynamic research team at Strathclyde focused on automated inspection, sensor-enabled robotics, and full lifecycle structural health monitoring. This group works on developing next-generation inspection systems that integrate machine learning, kinesthetic guidance, and multi-sensor platforms for complex industrial geometries.

• Digitalization
• Control Systems
• Optimization Algorithms
• +4 more

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.

Mats Erling HøvinView profile

Associate Professor

• Generative Design
• CAD
• CAM
• +6 more

Mats Erling Høvin is an Associate Professor at the University of Oslo's Department of Informatics, affiliated with the Robotics and Intelligent Systems (ROBIN) research group. His academic work focuses on generative design, CAD/CAM systems, rapid prototyping, and evolutionary robotics. Previously, he conducted significant research in Delta-Sigma noise shaping for analog-to-digital converters. Research Interests: Generative design methodologies for manufacturing Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems Rapid prototyping and additive manufacturing techniques Evolutionary algorithms applied to robotics and optimization problems Delta-Sigma modulation for analog/digital signal conversion Robotic locomotion and control systems His publications demonstrate a consistent focus on optimization techniques applied to robotics, signal processing, and manufacturing systems. Recent work explores physics-based simulations for medical robotics and generative design for structural optimization. Earlier contributions established foundations in evolutionary robotics, motion capture filtering, and analog circuit design. Høvin teaches courses including IN5590 and IN1080, and leads research in the ROBIN group focusing on intelligent systems development. His work bridges theoretical computer science with practical engineering applications in robotics and manufacturing.

Henner GärtnerView profile

Professor

• Industrial Logistics
• Production Management
• Decentralized Manufacturing Control
• +5 more

Prof. Dr. Henner Gärtner is a full Professor for Industrial Logistics in the Department of Mechanical Engineering and Production at Hamburg University of Applied Sciences (HAW Hamburg). He is also Program Coordinator of the cooperative Mechanical Engineering program with the University of Shanghai for Science and Technology, Chairman of the Study Reform Committee, and deputy member of the Department Council. Education & Academic Focus Doctorate (Dissertation on stock-out cost quantification, PZH-Verlag, 2011) Research stays and teaching activities in Germany and China Research Interests Prof. Gärtner’s work spans decentralized production control , Industry 4.0 testbeds , autonomous transport systems (AGVs) , and real-time ergonomic monitoring . A flagship project is the Shared Guide Dog 4.0 , an AI-equipped autonomous rollator that supports blind and visually impaired pedestrians through advanced navigation and puddle-detection algorithms. Scientific Awards Hamburger Lehrpreis 2022 – Excellence in Teaching Projects & Funding SafeWalker – safe navigation assistance for elderly pedestrians Shared Guide Dog 4.0 – AI-driven mobility aid (with DAAD & BMAS support) GehwegNavi – sidewalk navigation for the visually impaired Decentralized Manufacturing Control testbed – “swimming-pool” model for resource negotiation Collaborative projects with Lufthansa Technik Logistik Services, VTG AG, DESY, and Krüss GmbH Teaching & Supervision He teaches bachelor and master modules such as Industrial Logistics , Production Planning & Control , Operations Management , and Project Management & Communication . Prof. Gärtner has supervised more than 30 bachelor and master theses on topics ranging from decentralized AGV control to AI-based computer-vision apps for barrier-free mobility. Labs & Teams Prof. Gärtner leads activities within the Institute for Product and Production Management (IPP) at HAW Hamburg and coordinates interdisciplinary student teams working on robotics, lean production, and service engineering.

• Surgical Robotics
• Medical Device Design
• Haptics
• +2 more

Emmanuel Vander Poorten is an Associate Professor at the Faculty of Engineering Technology , KU Leuven, specializing in Surgical Robotics , Medical Device Design , and Biomedical Engineering . He leads the Robotics, Automation and Mechatronics (RAM) unit and is involved in interdisciplinary research through institutes like the Leuven Centre for Affordable Health Technology and iSi Health . Research Focus : Surgical Robotics, Haptics, Teleoperation, and Virtual Reality Training Key Projects : MIRACLE, RIVUS, AR-Spine, and ARTISTE (Autonomous Robotic Suturing for fetal surgery) Technical Expertise : 3D Ultrasound Shape Completion, Endovascular Navigation, and Reinforcement Learning for Surgical Planning His recent publications highlight advancements in 3D augmented reality for image-guided surgery , deep reinforcement learning for pedicle screw placement , and novel sensing methods for bone drilling . He collaborates extensively on medical robotics and autonomous catheter navigation in deformable environments.

• Flight Mechanics
• Spacecraft Attitude Dynamics
• UAV Control
• +5 more

Mauro Mancini is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He belongs to the College of Mechanical, Aerospace, and Automotive Engineering and specializes in Flight Mechanics (Scientific disciplinary sector IIND-01/C) within Area 0009 - Industrial and Information Engineering. Dr. Mancini teaches multiple courses across various degree programs including Aerospace Engineering and Mechatronic Engineering. His teaching portfolio includes Advanced Flight Dynamics: Modeling and Simulation, Control Systems Design for Spacecraft Attitude Dynamics at PhD level, and Fundamentals of Flight Mechanics at undergraduate level. He has also delivered lectures for the English-taught Program at Ho Chi Minh City University of Technology. His research focuses on aerospace control systems with particular emphasis on spacecraft attitude dynamics, UAV control, and autonomous systems. Dr. Mancini employs advanced control techniques including sliding mode control, artificial potential fields, and adaptive control strategies to address challenges in spacecraft maneuvering, orbital dynamics, and precision agriculture applications. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and agricultural technology. Analysis of Dr. Mancini's publication record reveals a consistent research trajectory in spacecraft attitude control and autonomous vehicle systems. His work shows expertise in sliding mode control techniques applied to spacecraft with actuator constraints, orbital simulation for target inspection maneuvers, and precision agriculture applications. A notable trend is the integration of artificial potential fields with advanced control methodologies to solve complex navigation and maneuvering problems in both space and terrestrial environments. Dr. Mancini actively supervises three PhD students: Pierantonio Bertuccio, Jean-Luc Sarvadon, and Riccardo Enrico (whose research focuses on robust control of UAV under uncertain conditions). He has secured commercial research contracts including a 2024 Flight Mechanics project as Scientific Manager and previous collaborations with Ho Chi Minh City University of Technology. He is a member of the Dynamics, Control and Flight Simulation research group at DIMEAS, where he contributes to advancing aerospace control methodologies and their practical applications in both academic and commercial contexts.

Kinnis K. GoshaView profile

Professor

• Conversational AI
• Social Media Data Analytics
• Computer Science Education
• +6 more

Dr. Kinnis Gosha is the Hortenius I. Chenault Endowed Professor of Computer Science and Academic Program Director for Software Engineering at Morehouse College. He serves as Executive Director of the Morehouse Center for Broadening Participation in Computing and is the Principal Investigator for the NSF-funded Institute for African-American Mentoring in Computing Sciences (IAAMCS) . Dr. Gosha earned his B.S. in Computer Science from Albany State University , an M.S. in Computer Science and Software Engineering from Auburn University , and a Ph.D. in Human-Centered Computing from Clemson University . His research focuses on conversational AI , social media data analytics , computer science education , and culturally relevant computing , with over 60 peer-reviewed publications. He leads the Culturally Relevant Computing Lab , where 21 undergraduates have pursued doctoral degrees. His work includes collaborations with Google, Microsoft, and the National Science Foundation, notably developing virtual reality anti-bias training tools and SMS-based mentoring systems. Key awards include the 2019 RESPECT Conference Distinguished Paper Award and the 2014 Atlanta Magazine Groundbreakers Award .

Stasha LauriaView profile

Lecturer

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +6 more

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

Stefan SeipelView profile

Professor

• Geospatial Information Science
• Computer Science
• Interactive Visualization
• +6 more

Stefan Seipel is a Professor at the University of Gävle's Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer Science division. He leads research in geospatial visualization and digital image processing with human-centered focus. Key collaborations with Lantmäteriet , KTH , and Ghent University 's Cartography & GIS group Research initiatives include Smart Build Environment projects and Urban 3D Visualization for smart city planning Research Focus: Interactive 3D visualizations for real estate formation Visual anomaly detection in digital maps Algorithm development for urban environment modeling Solar energy potential assessment using geospatial data Technical Contributions: Developed methods for 3D property visualization, augmented reality applications in facility management, and precision tools for thermographic building diagnostics. His work integrates geospatial analysis with cognitive modeling for decision support systems.

Ilian BonevView profile

Professor

• Industrial robotics and automation
• Robot calibration
• Precision robotics
• +4 more

Ilian Bonev is a Professor in the Department of Systems Engineering at École de technologie supérieure (ETS) in Montreal, Canada. He holds a B.Eng. from Technical University of Sofia, Bulgaria, an M.Sc. from Gwangju Institute of Science and Technology (GIST), South Korea, and a Ph.D. from Université Laval. He leads the Control and Robotics Laboratory (CoRo) at ETS, focusing on precision robotics, industrial robotics, and parallel robot design. His research interests include: Industrial robotics and automation Robot calibration Precision robotics Parallel robot design Analysis of robot singularities Intelligent and autonomous systems Innovative materials and advanced manufacturing Prof. Bonev's recent publications demonstrate a strong focus on robot calibration techniques, precision machining with industrial robots, and analysis of collaborative robot systems. His work often involves developing novel calibration methods using various metrology equipment like laser trackers, ballbars, and photogrammetry systems. He has made significant contributions to understanding robot singularities and improving the accuracy of industrial robots for applications in aerospace and medical fields. His notable awards include: 2012: CA Excellence Award for Emerging Researcher from École de technologie supérieure 2009-2019: Canada Research Chair (Tier 2) in Precision Robotics Prof. Bonev has supervised numerous graduate students through doctoral theses, dissertations, and various research projects. His laboratory, CoRo, is equipped with state-of-the-art equipment including industrial robots and a full range of metrology equipment such as FARO laser tracker, FARO arm, Renishaw ballbar, and Renishaw interferometry system. The CoRo laboratory focuses on applied research in collaboration with industry, with major projects in robot calibration, parallel robotics, robotic machining, and redundant robots. Prof. Bonev has developed several innovative robot calibration methods that have been implemented in industry at companies like Messier-Dowty and GE Aviation.

Florian PommereningView profile

Professor

• Classical Planning
• Heuristic Search
• Linear Programming
• +3 more

Dr. Florian Pommerening is a Professor at the Department of Mathematics and Computer Science within the Faculty of Science at the University of Basel, Switzerland. He holds an email address of florian.pommerening@unibas.ch and can be reached via +41 61 207 05 37. His academic career is deeply rooted in classical domain-independent planning, with a focus on optimal planning through heuristic search and the application of linear and mixed integer programming in planning domains. University of Basel, Switzerland Faculty of Science Department of Mathematics and Computer Science Professor Rank Florian completed his PhD at the University of Basel in 2017 under the supervision of Malte Helmert. He also holds a Master's degree in Computer Science from the University of Freiburg (2012) and a Master's in Information Technology from Monash University (2010). His research spans topics such as classical planning, heuristic search, linear programming, mixed integer programming, and automated planning systems. His publication record from 2012 to 2025 demonstrates sustained contributions to planning algorithms, including cost partitioning heuristics, Lagrangian decomposition, and transition landmark generation. His work has been recognized with multiple awards, including the ICAPS 2024 Influential Paper Award, ECAI 2023 Quality Champion PC award, and the Dux of the Master of Information Technology at Monash University. ICAPS 2024 Influential Paper Award Quality Champion PC award (ECAI 2023) Runner Up, Best Student Paper Award (ICAPS 2023) CoRe Challenge 2022 Awards Best Student Paper Runner-Up (ICAPS 2022) Best System Demonstration (ICAPS 2022) Outstanding Senior Program Committee Award (AAAI 2021) ICAPS 2019 Best Paper Award Faculty Award 2018 (University of Basel) EurAI Artificial Intelligence Dissertation Award 2017 ICAPS 2018 Best Dissertation Award Outstanding PC Member Award (SoCS 2016) Winner, Unsolvability IPC 2016 AAAI 2015 Outstanding Paper Award ICAPS 2014 Outstanding Paper Award Dux of the Master of Information Technology 2010 (Monash University) Florian actively contributes to the planning community through tutorials at AAAI 2019 and ICAPS 2015, and through software development such as the Fast Downward planner and Planutils framework. His notable side project includes creating a quine in the Shakespeare Programming Language (SPL) with Thomas Mayer, showcasing technical creativity beyond core research.

Sándor Kisfaludi-BakView profile

Assistant Professor

• Algorithms
• Computational Geometry
• Geometric Optimization
• +4 more

Sándor Kisfaludi-Bak is an Assistant Professor in the Department of Computer Science at Aalto University, specializing in theoretical computer science with a focus on computational geometry. He develops algorithms for geometric problems involving points, curves, shapes, and spatial networks. His research interests include Algorithm design for geometric optimization Computational geometry fundamentals Spatial network analysis Hyperbolic and planar graph algorithms Parameterized complexity in geometric contexts Recent publications demonstrate expertise in Traveling Salesman Problem optimization, Steiner network construction, and hyperbolic graph analysis. Key research trends span computational geometry, graph theory, and algorithmic complexity in spatial domains. He has no listed scientific awards in the provided materials. No information about student advising or organizational affiliations beyond Aalto University was found.

• Systems Control
• Embedded Software Design
• Embedded Systems Performance Analysis
• +5 more

Fouad KHENFRI is a Professor and researcher at ESTACA (Ecole Supérieure des Techniques Aéronautiques et de Construction Automobile) , specializing in embedded systems and control engineering. He holds a PhD in Computer Science and Applications from the University of Nantes (2016), a Master's in Automatic Control from EMP Algiers (2011), and an Engineering Degree in Automation from the University of Biskra (2008). Key research areas: Systems Control, Embedded Software Design, and Artificial Intelligence Recent publications focus on UAV control systems, Neural Architecture Search, and energy optimization Supervising doctoral students on topics including drone development and deep learning applications