جست‌وجوی استاد و پژوهشگر

• Laser Material Science
• Laser Ablation
• Surface Science
• +۴ مورد دیگر

Hasib Mustafa is an Assistant Professor specializing in Laser Processing with active research spanning Laser Material Science, Remote Sensing, and Environmental Monitoring. His work integrates advanced optical techniques with practical applications in environmental and agricultural systems. His research focuses on laser-material interactions, particularly laser ablation and surface processing, combined with UAV-based remote sensing for environmental thermometry and agricultural monitoring. Key methodologies include laser-induced luminescence spectroscopy, hyperspectral imaging, and fluorescence observation systems, targeting applications in precision agriculture and environmental diagnostics. Recent publications (2022-2025) reveal a concentrated effort in developing UAV-deployable laser systems for environmental monitoring, with significant contributions in luminescence-based thermometry and artificial seed detection. This work bridges materials engineering, optical physics, and remote sensing technologies. His scientific recognition includes: Outstanding Poster Award (2018) PhD Cum Laude (2019) Mustafa actively contributes to scholarly review processes, particularly for Surface and Coatings Technology journal, but no advising responsibilities or grant details are documented in available sources. No specific laboratory affiliations or research teams are explicitly stated in the source materials.

• Biomechanics
• Control Systems
• Robotics and Automation
• +۴ مورد دیگر

Dr. Huai-Ti Lin is an Associate Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. His affiliations include the Centre for Neurotechnology and Robotics Forum. His research focuses on biomechanics, control systems, robotics, and neurosciences, with a particular interest in translating biological principles into engineering solutions. His lab develops bio-inspired sensors, neural devices, and robots by studying insect locomotion and sensory systems. Key projects include motion capture and neural recording techniques in insects like dragonflies. Dr. Lin holds a PhD from Tufts University, USA. His work integrates interdisciplinary approaches to understand how neural signals and physical bodies coordinate to enable sophisticated motor control in animals. The lab's innovations include the 'GoQBot' soft robot and passive aerial righting mechanisms. His research spans robotics, aerospace engineering, and artificial intelligence, with applications in micro aerial systems and obstacle negotiation. His articles highlight advancements in dragonfly flight mechanics, insect sensory systems, and bio-inspired algorithms. The lab's efforts aim to bridge biology and engineering for next-generation technologies. For more details, visit htlinlab.com .

Robert Stuart-Smithمشاهده پروفایل

استادیار

• Architectural Design
• Robotic Fabrication
• Collective Robotic Construction
• +۳ مورد دیگر

Robert Stuart-Smith is an Assistant Professor of Architecture at the University of Pennsylvania’s Stuart Weitzman School of Design, where he also directs the MSD-RAS program and the Autonomous Manufacturing Lab. His research focuses on integrating robotics, computation, and architectural design to address environmental and economic challenges in construction. He leads a $5M+ research portfolio collaborating with firms like Cemex and Skanska, and his work includes pioneering aerial additive manufacturing with drones, published in Nature . Stuart-Smith co-founded Robert Stuart-Smith Design and Kokkugia, and authored Behavioural Production . His teaching spans courses on material formations and robotic design at institutions globally. Exhibitions of his work include the Venice Biennale and Frac Centre-Val de Loire. His academic background includes dual BAs in Architecture and Environmental Design, with additional affiliations to the GRASP Lab in Engineering. Key research themes include robotic fabrication, collective robotic construction, and sustainable material practices. Recent projects explore ceramic die-extrusion and dynamic slip casting techniques. Stuart-Smith’s work bridges academia and industry, emphasizing scalable, culturally impactful architectural solutions. Notable collaborations include the Aerial Additive Manufacturing project demonstrating in-flight drone coordination, and the Ceramic Forest initiative exploring robotic ceramic production. His pedagogical focus on interdisciplinary education is reflected in the MSD-RAS program’s emphasis on technical innovation and design speculation.

Shahab Heshmati-Alamdariمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Systems
• +۵ مورد دیگر

Shahab Heshmati-Alamdari is an Associate Professor in Robotics at Aalborg University's Department of Electronic Systems. His work focuses on robust control, autonomous systems, and underwater robotics. He holds a PhD from NTUA (2018) and held postdoctoral positions at TU Munich (2020) and KTH Royal Institute of Technology (2019–2020). His research emphasizes constrained planning, cooperative control, and human-robot interaction. Education: MEng (Mechanical Engineering), MSc (Automatic Control Systems & Robotics), PhD (Mechanical Engineering), all from NTUA. Research Interests: Constrained navigation, robust control in uncertain environments, cooperative robotics, and underwater vehicle systems. Awards: Marie Sklodowska-Curie Fellowship, ERCIM Postdoctoral Fellowship, Thomaidion Awards. His lab, the Safe Autonomous Systems Lab, develops advanced planning and control systems for single/multi-robot systems. Key platforms include the MuR250 mobile manipulator, Boston Dynamics Spot, and custom ballbots like Kugle. He teaches courses in motion planning and robot navigation at Aalborg University. Recent work includes control barrier functions for UAV navigation, robust predictive control for underwater vehicles, and cooperative manipulation systems. His projects address marine debris cleanup (SeaClear EU project) and safe human-robot interaction.

Linga Reddy Cenkeramaddiمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Autonomous Systems
• Robotics and Automation
• +۷ مورد دیگر

Linga Reddy Cenkeramaddi is a **Professor** in the Department of Information and Communication Technology at the University of Agder (UiA), Norway. He holds a PhD in Electrical Engineering from NTNU (Trondheim, Norway) and Master’s degrees from IIT Delhi and IIT Chennai. His research focuses on Cyber-Physical Systems (CPS), Autonomous Systems, Robotics, AI/ML, Wireless Sensor Networks, and 5G/6G-enabled technologies. He leads projects such as LUCAT (UAV communication tracking) and INCAPS (Indo-Norwegian collaboration in CPS). **Education**: PhD (NTNU), MSc in Physics (IIT Chennai), MSc in Integrated Electronics (IIT Delhi). **Research Interests**: Energy-efficient wireless communication, autonomous vehicles, edge intelligence, mmWave sensing, and smart cities. **Teaching**: Courses include embedded systems, mmWave sensing, and wireless prototyping. **Key Contributions**: Developed low-power embedded systems, contributed to UAV communication protocols, and pioneered AI-driven healthcare solutions. **Grants**: Co-PI in the INMOST offshore mechatronics project. **Labs/Teams**: Autonomous and Cyber-Physical Systems (ACPS), Electronics and IoT (E&IOT), Intelligent Mechatronics (iTron). His work bridges academia and industry, impacting healthcare, smart agriculture, and environmental monitoring. Future research includes multi-modal sensing, multi-agent systems, and 6G communication integration with AI.

Andres Gozaمشاهده پروفایل

استادیار

• Unsteady Aerodynamics
• Fluid-Structure Interaction
• Computational Fluid Dynamics
• +۳ مورد دیگر

Andres Goza is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign. He holds affiliate appointments in Computational Science and Engineering and Mechanical Science and Engineering. His research focuses on unsteady aerodynamics, fluid-structure interaction, and bio-inspired flow control. Goza's work combines computational methods and experimental insights to design passive and adaptive flow control strategies for aerodynamic systems, with applications in micro aerial vehicles and energy harvesting. Education: PhD (Mechanical Engineering, Caltech, 2018), MS (Mechanical Engineering, Caltech, 2013), BS (Mechanical Engineering, Rice University, 2011). Key areas of research include covert feather-inspired flaps, phononic materials for flow control, and vortex dynamics. Recent work explores reinforcement learning for hybrid flow control and surface morphing techniques at stalled angles of attack.

• Bio-inspired Robotics
• Aerodynamics
• Mechanical Engineering
• +۳ مورد دیگر

Xinyan Deng is an Associate Professor in the Department of Mechanical Engineering at Purdue University's College of Engineering. Her research focuses on bio-inspired robotics, aerodynamics, and control systems, particularly in flapping-wing micro air vehicles and hybrid locomotion systems. She leads projects involving the design, optimization, and experimental validation of robotic systems that mimic natural flight mechanics and environmental adaptation. Her work spans technical areas including high-frequency actuation systems, reinforcement learning for fault tolerance, and adversarial attack mitigation in UAVs. Notable contributions include the development of tailless hummingbird robots capable of complex maneuvers and unified actuation for hybrid aerial-terrestrial robots. Dr. Deng's research integrates principles from biomechanics, fluid dynamics, and control engineering. Her lab explores topics such as wing damage recovery strategies, sensor fault isolation, and energy-efficient propulsion mechanisms. Ongoing projects emphasize real-world applications in search-and-rescue, environmental monitoring, and defense systems.

Christian Benzمشاهده پروفایل

پژوهشگر

• Computer Vision
• Structural Health Monitoring
• Deep Learning
• +۴ مورد دیگر

Christian Benz is a Researcher at the Computer Science Department, Faculty of Media, Bauhaus-University Weimar since 2019. He holds an M.Sc. and B.Sc. in Computer Science from TU Darmstadt, with specialization in machine learning applied to image data. His research focuses on structural health monitoring, crack detection, and 3D reconstruction using computer vision techniques. He concurrently works part-time as a Computer Vision Scientist at ZEISS since 2023. Research interests include crack segmentation , multi-view learning , point cloud processing , and deep learning for infrastructure inspection . Notable projects include the AISTEC initiative for evaluating aging infrastructure using digital technologies. His work bridges computer vision with civil engineering applications, particularly in bridge and building safety assessment. Publications emphasize interdisciplinary approaches to structural defect detection, leveraging CNNs, attention mechanisms, and novel benchmarks like OmniCrack30k. His methods address challenges in concrete surface analysis, UAV-based imaging, and semantic segmentation during bridge inspections. Professional activities include lab coordination in the 3D-RealityCapture-ScanLab and participation in the Bauhaus Path Planning Challenge. His research contributes to advancing automated inspection tools for civil infrastructure safety.

Raj Sunderramanمشاهده پروفایل

استاد

• Databases
• Data Mining
• Big Data
• +۶ مورد دیگر

Raj Sunderraman is a Professor of Computer Science at Georgia State University, specializing in databases, data mining, and logic programming. His research focuses on deductive databases, semantic web technologies, bioinformatics, and graph data modeling. He holds a B.E. (Honors) in Electronics Engineering from Birla Institute of Technology and Science, an M.Tech. in Computer Technology from Indian Institute of Technology Delhi, and a Ph.D. in Computer Science from Iowa State University. His research projects include NeuronBank—a tool for cataloging neuronal circuitry—and work on scalable graph storage systems for big data. He has developed a programming environment for protein structure data and contributed to the paraconsistent relational data model. His teaching and research emphasize practical applications in bioinformatics, geoinformatics, and software systems. Key areas of exploration include reasoning with incomplete/inconsistent data, deductive database semantics, and graph query languages. Recent work involves lambda calculus visualization tools and 3D perception benchmarks for UAVs. He has authored over 150 publications and a textbook on Oracle 10g programming.

• Autonomous Systems
• Computer Vision
• Software Architecture
• +۳ مورد دیگر

Martin Dijkstra is a Professor at the Computer Vision & Data Science professorship & knowledge centre at NHL Stenden University of Applied Sciences. His research focuses on autonomous control of UAVs, software architecture for autonomous systems, and accelerating computer vision algorithms using multi-threading and GPGPU techniques. He graduated from the same institution with a degree in Information Technology, where his internship and graduation project led to foundational work on the Twirre architecture for autonomous drones. His professional career began immediately after graduation as a project engineer at the Computer Vision knowledge centre, where he contributed to the development of UAV software systems. Current efforts emphasize refining the Twirre architecture while exploring parallel computing methods for computer vision acceleration, though the latter is temporarily paused due to resource constraints. Martin’s work bridges theoretical research and practical implementation, with a focus on real-world applications of autonomous systems. His affiliation with the Computer Vision knowledge centre underscores his role in both academic and applied research within the field.

Ingo Neumannمشاهده پروفایل

استاد

• Engineering Geodesy
• Geodetic Analysis Methods
• Sensor Technology
• +۵ مورد دیگر

Prof. Dr.-Ing. Ingo Neumann is a Professor of Engineering Geodesy and Geodetic Analysis Methods at Leibniz University Hannover's Faculty of Civil Engineering and Geodetic Science. He serves as Executive Director of the Geodetic Institute and leads research in geodetic sensor systems, structural monitoring, and multi-sensor fusion. His work focuses on advancing terrestrial laser scanning (TLS), UAV-based calibration, and machine learning applications in civil infrastructure analysis. Research interests include deformation monitoring, sensor calibration, and geospatial data processing. Notable projects involve fusion of SAR/InSAR data with TLS for ground movement analysis, and development of automated damage detection algorithms for port and marine structures. He teaches courses on sensor technology, geodetic measurement methods, and industrial surveying. Publications span 2006–2025, with recent emphasis on robust outlier detection, Kalman filter applications, and B-spline modeling for structural analysis. His work integrates geodesy with computer vision and machine learning to enhance infrastructure monitoring precision.

Ingo Ensmingerمشاهده پروفایل

دانشیار

• Climate Science
• Ecology & Biodiversity
• Forests & Conservation
• +۷ مورد دیگر

Ingo Ensminger is an Associate Professor in the Department of Biology at the University of Toronto Mississauga . His research focuses on plant-environment interactions, particularly in the context of climate science, forest ecology, and molecular physiology of trees. Education : Ph.D. in Plant Physiology from the University of Jena, Germany (2000); Diplom in Plant Physiology from the University of Giessen, Germany (1996). His lab integrates biophysical experiments, molecular biology, next-generation sequencing, and remote sensing to study plant resilience to environmental change. Current projects explore low-temperature acclimation in conifers, drought stress responses, and UAV-based high-throughput phenotyping. Recent work emphasizes trends in remote sensing applications for forest monitoring, including UAV photogrammetry and spectral-temporal analysis. Key collaborations include institutions like Université Laval and Genome Canada. Scientific Awards : Funded by NSERC (Grant RGPIN-2020-06928) and Genome Canada/Quebec/British Columbia for the Spruce-Up Project. Ensminger mentors a diverse team of graduate students and postdoctoral fellows, fostering interdisciplinary research in plant physiology, climate adaptation, and forest carbon dynamics.

• Image Processing
• Medical Imaging
• Biological Imaging
• +۳ مورد دیگر

Michaël Unser is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering , leading the Biomedical Imaging Laboratory . He serves as Academic Director for Imaging at EPFL and contributes to cross-departmental teaching in Microengineering , Mathematics , and Life Sciences Engineering . His research spans Image Processing , Medical Imaging , Wavelets , and Spline-based Modeling , with a focus on multiresolution analysis and single-molecule localization microscopy . He has mentored over 30 PhD students and supervised numerous research projects. Recent publications highlight advancements in super-resolution microscopy , deep learning integration , and inverse problem solving for biomedical imaging. His work emphasizes mathematical rigor and open-source software development for accessible bioimaging tools. IEEE Technical Achievement Award (2008) IEEE EMBS Career Achievement Award (2020) Three ERC Advanced Grants (FUNSP, GlobalBioIm, FunLearn) As Academic Director for Imaging , he leads EPFL's cross-disciplinary imaging initiatives. His teaching includes Fundamentals of Image Analysis and Signals and Systems courses.

Igor Paprotnyمشاهده پروفایل

دانشیار

• MEMS/NEMS
• Robotics
• Sensor Technology
• +۵ مورد دیگر

Igor Paprotny is an Associate Professor at the Department of Electrical and Computer Engineering, University of Illinois at Chicago. As Faculty Research Director of the Nanotechnology Core Facility, he leads research in MEMS/NEMS, microscale robotics, and environmental sensing. PhD in Engineering Sciences (MEMS) from Dartmouth College, 2008 His research focuses on applying micro/nano-systems to airborne pathogen detection, microscale flight dynamics, photonic sensing, and physical computing paradigms. He has pioneered MEMS-based sensors for methane leak detection, coal mine safety, and real-time particulate monitoring. Recent publications highlight advancements in air-microfluidic circuits , carbon nanotube functionalization , and microscale robotics , reflecting interdisciplinary work at the intersection of Environmental Engineering , Biomedical Monitoring , and Wearable Sensor Technology . He directs the Micromechatronic Systems Laboratory (MSL) and the Air Microfluidic and Bio-surveillance Group (AMFBG) , with over 15 years of experience in MEMS design, energy harvesting, and distributed sensor networks.

Hae In Leeمشاهده پروفایل

مدرس

• Autonomous Systems
• Control Systems
• UAV Technology
• +۷ مورد دیگر

Dr. Hae In Lee is a Lecturer in Autonomous Systems at Cranfield University's Centre for Autonomous and Cyberphysical Systems within the School of Aerospace Transport and Manufacturing. She holds a PhD from Cranfield University (2019) and BSc and MSc degrees in aerospace engineering from the Korea Advanced Institute of Science and Technology (2013, 2015). Prior to her current position, she worked as a Research Fellow in Autonomous Systems and Artificial Intelligence before joining Cranfield as a Lecturer in 2022. Dr. Lee's research focuses on networked control systems, adaptive control, and multi-objective optimization for autonomous systems. Her expertise spans Autonomous Systems, Computing and Simulation, Flight Physics, Mechatronics & Advanced Controls, and Sensor Technologies. She has published extensively in leading journals and conferences, with recent work concentrating on UAV collision avoidance, multi-agent systems, slung-load transportation, and unmanned traffic management. Her publication record shows a clear progression from foundational work in UAV slung-load transportation to more complex multi-agent systems and autonomous control frameworks. The research demonstrates strong theoretical foundations in control theory combined with practical applications in aerospace and robotics. Recent publications (2022-2025) increasingly address real-world implementation challenges in drone traffic management, rail monitoring, and advanced air mobility. Dr. Lee has delivered 7 MSc modules at Cranfield University and has been invited to lecture at other research institutes and industry organizations. Her teaching and research bridge theoretical control systems with practical autonomous vehicle applications.