جستجوی استاد راهنمای دانشگاهی

• Simulation-Based Optimization
• Industry 4.0
• Production Engineering
• +۴ مورد دیگر

Amos H. C. Ng is a Professor at the School of Engineering Science, University of Skövde, specializing in simulation-based optimization and Industry 4.0 technologies. His research bridges production engineering with human-robot collaboration, ergonomics evaluation, and cloud-based cyber-physical systems for manufacturing efficiency. Key Affiliations: University of Skövde (School of Engineering Science), Uppsala University (Industrial Engineering and Management) Research Themes: Multi-objective optimization, Digital Twin frameworks, Human-centric production systems, Reconfigurable manufacturing, Throughput bottleneck analysis Projects: ACCURATE 4.0 (Knowledge Foundation), VF-KDO (Virtual Factories with Knowledge-Driven Optimization), EWASS (Wire Harness Assembly Optimization) His recent publications demonstrate expertise in applying evolutionary algorithms, machine learning models, and digital human modeling tools to solve complex manufacturing problems ranging from crankshaft machining to wood supply chain robustness. Current work integrates motion capture technology with DHM tools for objective ergonomic assessments in assembly stations. Amos collaborates extensively with industrial partners like Volvo Penta and academic institutions, utilizing simulation-based approaches to enhance decision-making in production systems. His methodological focus includes non-dominated sorting genetic algorithms, surrogate modeling, and parallel computing architectures for optimization tasks.

Daniel M. Harrisمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Fluid Mechanics
• Interfacial Flows
• +۳ مورد دیگر

Daniel M. Harris is an Associate Professor of Engineering at Brown University's School of Engineering, promoted to this rank in July 2024. His research focuses on fluid mechanics, microfluidics, interfacial flows, nonlinear systems, and vibration through experimental and theoretical approaches in the Harris Lab. Harris holds the following educational qualifications: PhD in Applied Mathematics, Massachusetts Institute of Technology (2015) BS, Cornell University (2010) Postdoctoral Research Associate and Lecturer, University of North Carolina at Chapel Hill, Mathematics (2015-2017) His research spans biomedical engineering applications, fluid-structure interactions, capillary phenomena, and nonlinear dynamics. He is renowned for pioneering work on walking droplets, microfluidic device development, and vibration dynamics, with strong emphasis on connecting art, craft, and science through experimental fluid mechanics and soft matter physics. Recent publications (2018-2022) reveal dominant themes in microfluidics (Taylor dispersion, device fabrication), interfacial phenomena (capillary attraction, droplet impact), and nonlinear systems (bouncing dynamics, wave-propelled robotics). His work bridges fundamental fluid mechanics with biomedical engineering applications, particularly in micro-robotics for biological propulsion studies and surface property control. Harris has received significant recognition including: Dedicated Faculty Award (2023) American Physical Society Gallery of Soft Matter Winner (2023) Excellence in Research Mentoring Award (2022) Dean's Award for Teaching Excellence (2021) Multiple APS Gallery of Fluid Motion awards (2009, 2012, 2015) NSF Graduate Research Fellowship (2011-2013) He mentors students through research projects as evidenced by his mentoring award, and teaches core engineering courses including Fluid Mechanics and Vibration of Mechanical Systems. His educational innovations include course-based undergraduate research experiences in engineering electives. The Harris Lab actively engages in scientific communication, winning NSF/Popular Science Visualization awards for fluid dynamics demonstrations. The Harris Lab conducts custom experiments in fluid mechanics and soft matter with strong integration of mathematical modeling. The lab emphasizes artistic connections to science and maintains active public outreach through visualizations and demonstrations that have won multiple APS Gallery awards.

Martin Atzmüllerمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Machine Learning
• +۶ مورد دیگر

Martin Atzmüller is a Professor at the Institute of Computer Science , University of Osnabrück. He leads the Semantic Information Systems research group and serves as Scientific Director of the Cooperative and Autonomous Systems research area at the German Research Center for Artificial Intelligence (DFKI). He is also a founding spokesperson of the Joint Lab on Artificial Intelligence and Data Science and a founding member of the Data Science research area at the University of Osnabrück. Education : Diploma in Computer Science (University of Texas at Austin, USA) Diploma in Computer Science (University of Würzburg, Germany) Doctorate (Dr. rer. nat.) in Computer Science (University of Würzburg, Germany, 2006) Habilitation in Computer Science (University of Kassel, Germany, 2013) Research Interests : Professor Atzmüller specializes in Artificial Intelligence , focusing on modeling complex data, Explainable AI , Interpretable Learning , Machine Perception , and Semantic Interpretation . His work includes analyzing complex sensor data (e.g., images, graphs, networks) and designing AI systems for robotics and sensor-based applications. Recent Research Trends : His recent research highlights active intention recognition , metacognitive systems , and long-term robotic data acquisition in agricultural monitoring and autonomous systems. These projects emphasize uncertainty resilience , reconfigurable controllers , and semantic integration of sensor data. Labs & Teams : He contributes to the Cooperative and Autonomous Systems research area at DFKI and co-founded the Joint Lab on Artificial Intelligence and Data Science at the University of Osnabrück. His projects include ExPrIS , AW4.0 , and AI-Test-Field , focusing on semantic interpretation, trusted data exchange, and sustainable agricultural processes.

Gilad Yossifonمشاهده پروفایل

استاد

• Microfluidics
• Nanofluidics
• Robotics
• +۳ مورد دیگر

Prof. Gilad Yossifon is a faculty member at the School of Mechanical Engineering and the Department of Biomedical Engineering at Tel Aviv University . He leads the Micro and Nano-Fluidics and Robots Laboratory , focusing on electrokinetics in micro- and nano-fluidic devices, lab-on-a-chip applications, and autonomous particle systems. Education: Affiliated with Tel Aviv University and Technion – Israel Institute of Technology Research Interests span microfluidics, nanofluidics, and robotics. His work explores active particles as mobile microelectrodes, dielectrophoretic cargo manipulation, and electrically powered microrobotics for biomedical applications. Key areas include label-free transport systems, field-gradient optimization, and reconfigurable microfluidic components. Recent Articles demonstrate his group's expertise in frequency-dependent cargo selectivity, 3D electrokinetic trapping, and integration of active colloids with dielectrophoretic forces. These publications highlight applications in sample analysis , single-cell processing , and bottom-up fabrication techniques for microsystems. Scientific Recognition includes grants from the US-Israel Binational Science Foundation , Israel Science Foundation , and fellowships from Russell Berrie Nanotechnology Institute and Gutwirth Foundation . Technological Contributions involve developing microfluidic chambers with Indium Tin Oxide substrates, COMSOL simulations of field gradients, and hardware for electrically powered micromotors. Collaborative work extends to directed cargo transport systems and microscale biosensing platforms.

• Network Security
• Wireless Communication
• Internet of Things
• +۳ مورد دیگر

Lashmi Kondoth is a PhD candidate and Academic Casual staff member at Macquarie University's Faculty of Science and Engineering, providing teaching support in the School of Computing and School of Engineering while pursuing doctoral research. Her research spans network security, wireless communication, IoT systems, robotics, VLSI design, and fuzzy logic applications. Key contributions include security frameworks for network-on-chip architectures, intrusion detection systems using ambient intelligence, and innovative designs in space robotics and hardware security. Her publication record (2017-2023) reveals consistent focus on embedded system security, highlighted by a highly cited IEEE Access review on wireless NoC security taxonomies. Recent works explore attack countermeasures, IoT-based monitoring systems, and hardware-level security enhancements like chip morphing techniques. As an Academic Casual tutor, she contributes to undergraduate education while advancing interdisciplinary research at the intersection of computer security and hardware design. Her scholarly output demonstrates strong technical expertise despite limited documentation of formal awards or grant funding.

Roberto Naboniمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Sustainable Construction
• Robotic Assembly
• +۴ مورد دیگر

Roberto Naboni is an Associate Professor and Head of Centre at the SDU CREATE and a member of the SDU Climate Cluster . Affiliated with the Department of Technology and Innovation at the University of Southern Denmark, his work bridges advanced digital design, robotic fabrication, and sustainable construction methodologies. Research Interests include: Additive manufacturing in architecture and construction Low-carbon concrete and timber structures Algorithmic design and computational methods Space architecture applications (e.g., lunar habitats) Behavioral robotics for construction automation Material innovation for climate resilience Scientific Awards Villum Young Investigator Grant (2022) Teaching & Supervision spans courses on architectural geometry, digital fabrication, and sustainable materials. He leads PhD projects like Bio-Inspired Behavioural Additive Construction and collaborates on interdisciplinary initiatives such as FSSoV: Football as Health and Welfare Innovator . His research output includes 76 publications and active participation in 3 projects focused on adaptive robotics and sustainable construction systems.

Jose A. Boludaمشاهده پروفایل

دانشیار

• Computer Vision
• Hardware Design
• Image Processing
• +۴ مورد دیگر

Dr. Jose A. Boluda is an Associate Professor in the Department of Computer Engineering at the University of Valencia's School of Engineering. He holds a B.S. in Physics (Electricity, Electronics and Computer Science, 1992) and a Ph.D. (2000) from the same institution. With 6 teaching quinquenios and 4 research sexenios, his academic career spans over two decades. His research focuses on: Computer vision hardware design Smart vision sensors and neuromorphic computing Reconfigurable architectures (FPGA) High-speed motion analysis and change-driven processing Biomimetic visual sensing strategies He has authored over 50 international publications and participated in 15 research projects. His publications predominantly explore: Event-based vision sensors Hardware-accelerated image processing Neuromorphic engineering applications Real-time systems for robotics and 3D scanning Low-power circuit design for computer vision Awards include: Fernando Sapiña Award 2023 for Valencian teaching materials Fernando Sapiña Award 2021 for English teaching materials Fernando Sapiña Award 2021 for Valencian teaching materials He has directed 2 doctoral theses and supervised multiple master's projects. Research includes international collaborations at the University of Virginia, University of Macedonia, and Universitat Jaume I. His lab focuses on developing novel vision sensors and processing architectures.

Aijun Songمشاهده پروفایل

دانشیار

• Underwater Acoustic Communications
• Signal Processing
• Robotics
• +۵ مورد دیگر

Dr. Aijun Song is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alabama College of Engineering. He is affiliated with the Center for Water Quality Research and the Alabama Water Institute. His work bridges engineering, environmental science, and technology, with a focus on developing innovative underwater communication systems and autonomous vehicle technologies for water monitoring applications. Dr. Song's educational background includes: Ph.D. in Electrical and Computer Engineering from University of Delaware M.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China B.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China Dr. Song's research primarily focuses on underwater acoustic communications, signal processing, and autonomous vehicle technologies. His work addresses challenges in underwater wireless communications including channel modeling, equalization techniques, and full-duplex communication systems. He has made significant contributions to the development of underwater sensor networks, acoustic transceivers, and communication protocols for autonomous underwater vehicles. His research has important applications in environmental monitoring, ocean exploration, and water quality assessment. Dr. Song's recent publications demonstrate a strong trend toward practical implementations of underwater communication technologies, with increasing emphasis on reconfigurable intelligent surfaces, energy-efficient systems, and real-world testbed validation. His work spans theoretical development, simulation, and extensive field testing in lake and river environments. The research addresses critical challenges in underwater communication including channel variability, interference cancellation, and long-range transmission. Dr. Song has received notable recognition for his work: NSF CAREER Award from the National Science Foundation (2021) Outstanding Faculty/Staff-Initiated Engagement Effort by the Council on Community-Based Partnerships at the University of Alabama (2019) Outstanding Service Award from the 8th ACM International Conference on Underwater Networks & Systems (2013) Dr. Song actively mentors students and collaborates on interdisciplinary research projects. He serves as co-principal investigator for the USGS FLOW Academy, working with Dr. Lisa Davis and Dr. Steven Burian to provide hands-on water science education. His leadership in the Tuscaloosa MATHCOUNTS program has significantly impacted local STEM education, particularly for underserved populations and female students. Dr. Song's research has been supported by significant funding including an NSF CAREER award and collaborations with the US Geological Survey. Dr. Song leads a research team focused on underwater robotics and wireless communication technologies. His lab develops and tests autonomous underwater vehicles including JaiaBots and EcoMapper systems. The team is advancing underwater swarming technologies to enhance water monitoring capabilities, with an emphasis on creating open-source, low-cost solutions for automated water data collection and rapid flood disaster response. Recent field demonstrations at the Black Warrior River and Lake Tuscaloosa showcase the practical applications of his research.

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

Sadettin Kapucuمشاهده پروفایل

استاد

• Mechanical Engineering
• Robotics
• Mechatronics
• +۱۱ مورد دیگر

Sadettin Kapucu is a Professor at the Department of Mechanical Engineering , Faculty of Engineering , Gaziantep University , Turkey. With over 30 years of academic experience, he specializes in robotics, mechatronics, TRIZ-based inventive problem-solving, and vibration control systems. His career spans roles from Research Assistant (1987-1990) to Professor (2006-present) at Gaziantep University, and he has served as Head of the Mechanics and Dynamics Division since 2016. His educational background includes a PhD (1994) and MS (1990) in Mechanical Engineering from Gaziantep University and METU, respectively. PhD: Gaziantep University (1994) MS: Middle East Technical University (1990) BS: Middle East Technical University (1987) Kapucu’s research focuses on robot dynamics , TRIZ methodology , flexible systems control , and mechatronic design . He has pioneered techniques like hybrid input shaping for vibration suppression and variable stiffness actuators for rehabilitation robotics. His work bridges theoretical innovation and practical applications in industrial, medical, and agricultural robotics. Scientific achievements include the 2019 2nd Best Paper Award at ICICT 'xx19 and the 2009 Elginkan Foundation Technology Award . He has supervised over 18 graduate theses and secured 13 research grants, including TÜBİTAK-funded projects on olive oil processing and telehandler design.

• Robotics
• Automation
• Mechatronics
• +۵ مورد دیگر

Eric Demeester is an Associate Professor at the Faculty of Engineering Technology, KU Leuven, affiliated with the Department of Mechanical Engineering and the Robotics, Automation and Mechatronics (RAM) group. He leads RAM and the Subdivision ACRO, with additional roles as contact person for robotics initiatives and council member for academic governance. Academic Rank: Associate Professor Leadership Roles: Head of RAM, Head of Subdivision ACRO Research Focus: State estimation, decision-making under uncertainty, robotic wheelchairs, user modeling, plan recognition, shared control His research spans robotics applications in diverse domains including humanitarian demining, agricultural automation, pharmaceutical manufacturing, and radiological mapping. Projects involve sensor fusion (GNSS-IMU), machine learning for low-data environments, and haptic control systems. Current advisees include Wouter Abbeloos and Pieter Aerts. Key projects include MineInsight (2024-2028), APL-SuppOr (2024-2027), and ROBUST (2024-2025), where he serves as promotor or co-promotor. His work emphasizes practical implementation in industrial and challenging environments.

• International Economics
• Macroeconomics
• Organizational Economics
• +۳ مورد دیگر

Dr. Jan Simon Schymik is an Acting Professor of Economics (W3 fix-term) at the University of Mannheim's Department of Economics and affiliated researcher at the Bonn-Mannheim Center for Collaborative Research CRC TR 224. He holds a PhD in Economics from Ludwig Maximilian University of Munich and a Diploma in Business Economics from Mannheim. His Fulbright fellowship included visiting scholar work at Harvard Business School. Research Focus: Schymik specializes in International Economics, Macroeconomics, and Organizational Economics, with emphasis on industrial policy, trade shocks, firm organization, and labor market dynamics. His work often integrates empirical analysis with quantitative modeling to study globalization impacts. Notable Projects: Current DFG-funded research (2025) examines The New Economics of Industrial Policy in a Global Economy . Recent publications analyze pandemic telework benefits, Eurozone spillovers from German reforms, and rare earths supply chains. Awards & Recognition: FIW International Economics Conference Best Paper Award Walther-Rathenau Best Paper Award Teaching & Advising: Instructs graduate/undergraduate courses in International Macroeconomics and Organizational Economics. Supervises theses on trade, macroeconomics, and firm organization.

Bjørn Solvangمشاهده پروفایل

استاد

• Manufacturing Systems
• Robotics and Automation
• Industrial Engineering
• +۳ مورد دیگر

Bjørn Solvang is a Professor in the Department of Industrial Engineering at UiT The Arctic University of Norway, campus Narvik. His research focuses on advanced manufacturing systems, robotics, and digital transformation in industrial contexts. His primary research interests include: Reconfigurable Manufacturing Systems Industry 4.0/5.0 Technologies Human-Robot Collaboration Digital Twins and Virtual Reality Applications Supply Chain Optimization Cognitive Infocommunication in Robotics He investigates how these technologies enhance flexibility, efficiency, and sustainability in manufacturing, particularly for small and medium enterprises (SMEs). Analysis of his recent publications reveals a strong trajectory toward smart manufacturing systems with increasing emphasis on Industry 5.0 principles. His work consistently addresses real-world industrial challenges through robotics integration, digital twin implementations, and AI-driven optimization, often involving European cross-organizational collaborations. Professor Solvang actively contributes to the ArcLog research group (Intelligent Manufacturing and Logistics) and the "Industry 5.0 enabled Smart Logistics" project. He has participated in multiple European cooperation initiatives providing educational frameworks for SMEs transitioning to advanced industrial paradigms. Based at Campus Narvik (room A4050), he maintains active industry engagement through research projects targeting practical manufacturing innovations and sustainable logistics solutions.

• Automation Engineering
• Sustainable Production
• Robotics
• +۳ مورد دیگر

Bengt Lennartson is a Professor of Automation at Chalmers University of Technology and Head of the Department of Systems and Control Engineering. His research focuses on automation engineering, sustainable production, robotics, and energy optimization, with over 280 international publications. Collaborations include industry leaders like Volvo, Daimler, Kuka, and TetraPak. IEEE Fellow for contributions to automation systems Specializes in hybrid/discrete-event systems Develops energy optimization strategies for robotic production lines Recent work explores Plug-and-Produce systems , digital twin calibration , and stochastic energy optimization in robotics. His team integrates AI with formal methods for safety verification and develops open-source educational tools like biomedical exoskeletons. Scientific awards include IEEE Fellowship , with articles addressing energy-efficient robot trajectories, safety-aware multi-agent control, and formal verification of cyber-physical systems.

Kees Goossensمشاهده پروفایل

استاد

• Embedded Systems
• Real-Time Systems
• Networks-on-Chip
• +۳ مورد دیگر

Kees Goossens is Full Professor of Real-time Embedded Systems in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads the CompSOC Lab focused on predictable and composable embedded systems. His research spans composable virtualization, real-time systems, low-power design, and FPGA-based dynamic partial reconfiguration. Previously at NXP Semiconductors, he pioneered networks-on-chip research including the Aethereal NoC architecture. His research interests include: Composable and predictable embedded systems Real-time networks-on-chip (NoC) Memory management and controllers FPGA reconfiguration Hardware verification Low-power electronic design Publication analysis shows consistent focus on real-time systems, networks-on-chip, memory controllers, and embedded systems design, with recent expansion into machine learning applications for networking and error-correction coding. His work frequently addresses automotive and industrial control applications. Editorial contributions include: ACM TODAES editorial board (since 2009) Associate editor for Springer DAEM journal (since 2006) Guest editor for multiple NoC special issues He leads the CompSOC laboratory developing virtualized execution platforms for mixed-criticality systems. Current educational activities include courses on Systems-on-Chip, Embedded Systems, and Computer Architecture.