جست‌وجوی استاد و پژوهشگر

Lily Chambersمشاهده پروفایل

استاد

• Bionics
• Biomimetics
• Microbial Fuel Cells
• +۵ مورد دیگر

Lily Chambers is a Professor at the Faculty of Technology and Bionics, Rhein-Waal University of Applied Sciences, Kleve Campus. Her academic position centers on Bionics with a specialized focus on biological systems integration within engineering frameworks. She maintains active laboratory operations and research leadership within the university's technical faculties. Her research spans Bionics, Biomimetics, Microbial Fuel Cells, Flow Sensing, Biodegradable Materials, Antifouling Coatings, Robotics, and Artificial Muscles. Chambers pioneers bio-inspired engineering solutions, particularly in sustainable energy systems and sensory robotics. Her work bridges biological principles with practical engineering applications, emphasizing environmental sustainability through biodegradable material development and natural resource utilization. Analysis of her 2012-2022 publications reveals dominant themes in biomimetic flow sensing systems (particularly artificial lateral lines for underwater robotics), microbial fuel cell innovation (including urine-activated and fully biodegradable designs), and natural antifouling solutions. Her research demonstrates consistent focus on translating biological concepts into functional engineering systems while prioritizing environmental responsibility and material sustainability. Chambers leads the FILOSE project developing bioinspired flow-sensing robots, with laboratory operations focused on creating biodegradable alternatives for energy generation and robotic components. Her team specializes in hydrodynamic sensor development, microbial fuel cell engineering, and marine antifouling research using natural compounds, maintaining strong connections between biological inspiration and practical technological implementation.

Vikash Gayahمشاهده پروفایل

استاد

• Urban Mobility
• Traffic Flow Theory
• Transportation Operations
• +۷ مورد دیگر

Vikash Gayah is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University’s College of Engineering. He is based in the Sackett Building at University Park, PA, and is actively involved in transportation research and leadership, currently serving as the interim director of the Larson Transportation Institute. His research is affiliated with themes of equitable communities and the built environment. Dr. Gayah's research focuses on urban mobility, traffic flow theory, transportation operations, network modeling, and safety. His work addresses real-world challenges such as intersection efficiency, pedestrian safety, and the integration of connected vehicles. He has extensively studied traffic signal control strategies, crash modification factors, and the impacts of infrastructure treatments like rumble strips and high-friction surfaces. The recent publications highlight a consistent focus on traffic safety analytics, optimization of signal control, and the use of advanced modeling techniques such as Max-Pressure algorithms and empirical Bayes methods. His research spans urban and rural contexts, with applications in Pennsylvania and broader transportation networks. Key trends include multimodal integration, data-driven safety improvements, and sustainable transportation solutions. Interim Director, Larson Transportation Institute (2023–present) Research focus on equitable and sustainable transportation systems Active involvement in interdisciplinary seed grant projects through the Institute for Energy and the Environment (IEE) Dr. Gayah mentors several graduate students who co-author his publications, indicating an active research group. He has not received explicitly listed scientific awards in the provided text, but his frequent media appearances and leadership roles reflect recognition in the field. His research is supported by institutional and interdisciplinary grants, particularly those addressing climate and sustainability challenges in transportation.

Jing Liuمشاهده پروفایل

پژوهشگر ارشد

• Swarm Intelligence
• Evolutionary Computation
• Optimization Algorithms
• +۳ مورد دیگر

Dr. Jing Liu serves as a Research Fellow at the School of Systems & Computing, The University of New South Wales (UNSW) Canberra, located at the Australian Defence Force Academy campus. Her research program focuses on developing advanced optimization algorithms and applying them to complex robotic systems, with particular emphasis on swarm robotics and unmanned vehicle coordination. Dr. Liu's work centers on Swarm Intelligence and Evolutionary Computation , where she develops and enhances nature-inspired algorithms including Ant Colony Optimization, Particle Swarm Optimization, and Bacterial Foraging Optimization. Her research extends these computational techniques to solve challenging problems in Robotics , particularly for Unmanned Aerial Vehicles and multi-robot systems, with a specialized focus on Mission Planning and control in complex environments. She has made significant contributions to robotic swarm shepherding, UAV path planning in obstacle-rich scenarios, and underwater robot navigation. Analysis of Dr. Liu's publication trends reveals a strategic progression from theoretical algorithm development toward increasingly complex real-world applications. Her recent work demonstrates a sophisticated integration of multiple optimization techniques to overcome limitations of single-method approaches, particularly for problems involving dynamic environments, scalability challenges, and complex constraints. The consistent high-impact output across journals like IEEE Transactions on Engineering Management and Swarm and Evolutionary Computation indicates her growing influence in the computational intelligence community. Dr. Liu maintains active collaborations with researchers including Sarker R, Essam D, Elsayed S, Anavatti S, Garratt M, and Abbass HA, suggesting participation in multidisciplinary research teams focused on autonomous systems. Her work at UNSW Canberra, situated at the Australian Defence Force Academy, likely has defense-related applications while also contributing to civilian applications in search and rescue, environmental monitoring, and coordinated autonomous systems.

Camilla Graneمشاهده پروفایل

مدرس ارشد

• Human-Machine Interaction
• Engineering Psychology
• Usability
• +۷ مورد دیگر

Camilla Grane serves as a Senior Lecturer in Psychology at Luleå University of Technology, where she is affiliated with the Department of Health, Education and Technology and specifically works within the Division of Health, Medicine and Rehabilitation. In addition to her teaching responsibilities, she holds the position of deputy head of education for the Department of Health, Medicine, and Rehabilitation (HMR). Dr. Grane holds a Master of Science degree in Ergonomic Design and Production and earned her PhD in Engineering Psychology. Her educational background has prepared her for interdisciplinary work at the intersection of psychology, engineering, and human factors, focusing on the practical application of psychological principles to real-world technological challenges. Her research centers on human-machine interaction and psychosocial factors, with notable expertise in attention and distraction when using multimodal interfaces in vehicles. She has expanded her research scope to include workers' digital tools and wearable sensors in mining and process industries, examining critical aspects such as usability, efficiency, safety, acceptance, and privacy. Dr. Grane is particularly interested in how ongoing digital development creates new relationships between humans and technology, with emerging interests in generative AI and human-robot interaction as research areas. Her publication record demonstrates a strong focus on automotive human factors, with numerous studies on gear shifter usability, human-automation interaction, and safety in industrial contexts. Her work spans multiple disciplines including psychology, engineering, ergonomics, and industrial safety, reflecting her interdisciplinary approach to understanding human-technology interactions across different environments. Dr. Grane teaches across multiple academic programs including the Psychology Bachelor's program and the Master of Science program in Industrial Design Engineering. Her extensive teaching portfolio covers Introduction to Psychology, Engineering Psychology, Social Psychology: Psychological Perspectives, Work and Motivation Psychology, Human-Machine Interaction, Usability, and Ergonomics and Cognition, among other specialized courses. She has led and participated in several significant research projects including 'Working environment of control room operators' (Swedish Transport Administration), 'SIMS' (attitudes towards positioning technology in mining environments), 'Quicktag' (mobile applications for inspections at Boliden), 'The Future Operator' (digital tools for future operators at LKAB and Boliden), 'MODAS' (measuring trust in highly automated vehicles), and 'Life on Board' (usability of future gear selectors in vehicles).

• Logistics
• Sustainable Urban Transportation
• Electric Vehicles
• +۵ مورد دیگر

Philippe Lebeau serves as a Postdoctoral Researcher at the House of Sustainable Transitions within the Faculty of Economic and Social Sciences and Solvay Business School at Vrije Universiteit Brussel. His work focuses on sustainable urban logistics systems, particularly last-mile delivery solutions and electric vehicle integration in freight transport. He actively contributes to major European research initiatives including the Green Deal-aligned SUPPORT FOR LOW-EMISSION URBAN LOGISTICS and CodeZERO projects. His research spans sustainable logistics, electric vehicle adoption, e-commerce delivery systems, and urban freight policy. Lebeau employs multi-actor decision-making frameworks like MAMCA to analyze stakeholder perspectives on green logistics solutions. His work bridges academic research with practical urban mobility challenges, particularly focusing on consumer behavior in last-mile delivery systems and the decarbonization potential of cargo bikes and autonomous delivery robots. Lebeau's recent publications demonstrate strong trends in sustainable urban logistics innovation, with significant emphasis on zero-emission delivery solutions, consumer preference analysis, and the application of behavioral frameworks to logistics challenges. His work increasingly integrates e-commerce dynamics with sustainable transportation solutions, highlighting the complex interplay between consumer expectations and environmental goals in modern delivery systems. As a PhD committee member and master's thesis supervisor, Lebeau has guided numerous students through research on urban logistics topics including Ecozone acceptance, cargo bike implementation, and sustainable e-commerce practices. His collaborative research projects have secured substantial funding from European Union programs focused on green urban mobility solutions. Lebeau leads research within the House of Sustainable Transitions, working with interdisciplinary teams on projects addressing urban freight decarbonization. His work connects VUB researchers with industry stakeholders, policymakers, and community groups to develop practical solutions for sustainable urban logistics challenges, particularly focusing on the Brussels metropolitan area as a living laboratory for green delivery innovations.

• Assistive Technology
• Embedded Systems
• Real-time Operating Systems
• +۳ مورد دیگر

Dr. Florian von Zabiensky is a Lecturer at Technische Hochschule Mittelhessen , where he has taught courses such as Embedded Systems Internship, Real-time Systems, and Software Engineering Project since 2016. He holds a PhD and M.Sc. in Computer Science, with a focus on embedded systems and assistive technologies for the blind. His research spans real-time operating systems, domain-specific languages, and simulation of embedded systems. Education : B.Sc. and M.Sc. in Computer Science, with thesis work on memory management and wireless sensor networks. Research Interests : Assistive technology, embedded systems, real-time systems, domain-specific languages, and sensor networks. Publications : Focus on electronic travel aids, AADL for ROS2 architectures, and neural networks in accessibility solutions. Industry Role : Software developer at Schmidt Embedded Systems GmbH since 2020 and self-employed developer in embedded systems.

Rahamatullah Khondokerمشاهده پروفایل

استاد

• Cybersecurity
• Digitalization
• Automotive Security
• +۱۱ مورد دیگر

Prof. Dr.-Ing. Rahamatullah Khondoker is a Professor of Business Information Systems with a focus on IT Security and Digitalization at THM University of Applied Sciences . He leads the CYSECDIGITAL research group, specializing in cybersecurity solutions for digitalization, autonomous mobility, and smart systems. PhD candidates under his supervision include Adnan Kujovic, Kumar Saurabh, Md. Zahirul Islam, and Khandaker Mohammad Mohiuddin. Projects funded by Erasmus+, DAAD, and THM Strategic Fund include ZDayIIoTSec and CyModeB . He has collaborated with institutions like IIT Delhi, BUET, and IIIT Allahabad, and signed MOUs with universities in Bangladesh, India, and Thailand. Research Focus : His work bridges Cybersecurity and Digitalization , with key contributions in SDN/NFV security, automotive cybersecurity (ISO/SAE 21434), IIoT, and AI-driven threat modeling frameworks like STRIDE and TMAP. Recent Publications highlight trends in automotive cybersecurity , IoT security audits , zero-day exploit detection , and AI applications for intrusion detection . His research spans threat intelligence integration, blockchain for supply chains, and machine learning in precision agriculture. Scientific Contributions : Nominated for best paper awards at AINTEC 2014 and IEEE NetSoft 2016. Co-authored foundational works on SDN/NFV security (Springer, 2018) and Industrie 4.0 security (Springer, 2017). Industry Collaboration : Partnerships with Continental, ANSYS, DRASS, and others in automotive, IIoT, and cybersecurity domains. He also leads the Automotive Cybersecurity Academy and advises on digitalization policy.

Domokos Kissمشاهده پروفایل

مدرس ارشد

• Transportation Planning
• Machine Learning
• Urban Mobility
• +۴ مورد دیگر

Domokos Kiss is a Senior Lecturer at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics (BME). His research focuses on transportation systems, mobility as a service (MaaS), and decision-making modeling using fuzzy logic and machine learning. University: Budapest University of Technology and Economics Department: Department of Automation and Applied Informatics Email: Kiss.Domokos@aut.bme.hu Kiss’s research spans urban mobility, public transport accessibility, and multi-criteria decision analysis, with applications in autonomous vehicles, bike-sharing systems, and sustainable transport solutions. His work often integrates advanced analytical methods like fuzzy logic, hybrid choice frameworks, and heuristic algorithms. Recent publications highlight trends in MaaS adoption, traffic safety modeling, and optimization techniques for transport planning. Key themes include generational preferences in mobility, stakeholder engagement in MaaS development, and machine learning applications for travel behavior analysis.

Helge Parzyjeglaمشاهده پروفایل

پژوهشگر

• Publish/Subscribe Systems
• Distributed Event-Based Systems
• Time-Sensitive Networking
• +۵ مورد دیگر

Dr. Helge Parzyjegla is a researcher at the Institute of Computer Science at the University of Rostock, Germany. His work focuses on publish/subscribe systems, time-sensitive networking, and autonomous underwater vehicles. He has maintained a consistent publication record since 2005 and continues to produce significant contributions to distributed systems and networking. Dr. Parzyjegla completed his PhD in 2014 at the University of Rostock with a dissertation titled "Engineering Publish/Subscribe Systems and Event-Driven Applications." Prior to that, he earned his Master's degree in 2005 from the Technical University of Berlin with a thesis on "An adaptive broker network for publish/subscribe systems." His research spans several interconnected areas in computer science and engineering. He has made significant contributions to publish/subscribe middleware systems , developing autonomous and adaptive approaches for event-based communication. His work on time-sensitive networking addresses critical challenges in real-time industrial applications, focusing on reliability, scheduling, and security. More recently, he has expanded his research to autonomous underwater vehicles , developing simulation models, path planning algorithms, and collaborative systems for maritime applications. His interdisciplinary approach bridges theoretical computer science with practical engineering applications. An analysis of his recent publications (2021-2025) reveals a clear progression from foundational work on publish/subscribe systems toward more applied research in time-sensitive networking and autonomous underwater vehicles. His work consistently addresses reliability, efficiency, and security challenges in distributed systems. The increasing focus on maritime applications since 2021 demonstrates his ability to adapt his expertise to new application domains while maintaining technical rigor. Best Paper Award in System Software and Security (2015) Dr. Parzyjegla has collaborated extensively with researchers at the University of Rostock and other institutions, particularly in the areas of networked systems and maritime technology. His sustained publication record suggests successful funding for his research activities. His work appears to involve both theoretical development and practical implementation, with numerous collaborations on simulation frameworks and experimental systems. His research appears to be conducted within the broader context of the Institute of Computer Science at the University of Rostock, with particular connections to groups working on distributed systems, networking, and maritime applications. The consistent collaboration with researchers like Gero Mühl, Peter Danielis, and Willi Brekenfelder suggests a cohesive research team focused on networked systems and their applications.

Markus Bohlinمشاهده پروفایل

استاد

• Applied Artificial Intelligence
• Railway Systems
• Transportation Engineering
• +۵ مورد دیگر

Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

Michele Martelliمشاهده پروفایل

دانشیار

• Marine Engineering
• Naval Architecture
• Ship Propulsion Systems
• +۳ مورد دیگر

Michele Martelli is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). He specializes in marine propulsion systems, autonomous vessel navigation, and maritime safety technologies. Academic Rank: Associate Professor Department: DITEN Primary Research Areas: Ship Propulsion, Autonomous Navigation, Collision Avoidance His recent publications focus on integrating LiDAR and AIS data for situational awareness, optimizing thrust allocation in autonomous ferries, and developing COLREG-compliant collision avoidance algorithms. Key trends include multiphysics modeling for electric propulsion, cybersecurity threats to MASS, and environmental impact assessments for dynamic positioning systems. As director of courses like Ship Propulsion Plants and Maritime Systems Design, he bridges theoretical research with practical applications in naval engineering and yacht design curricula. While specific scientific awards aren't explicitly mentioned in the dataset, his work on marine automation and propulsion control systems demonstrates significant technical contributions.

Ann Melissa Campbellمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Last-Mile Delivery
• +۴ مورد دیگر

Ann Melissa Campbell is a Professor of Business Analytics at the University of Iowa's Tippie College of Business, holding the Clement T. and Sylvia H. Hanson Family Chair in Manufacturing Productivity. Her research bridges theoretical optimization with real-world logistics challenges in delivery systems and disaster response. Her educational background includes: PhD in Industrial Engineering (Optimization), Georgia Institute of Technology BA in Computational and Applied Mathematics, Rice University BA in Economics, Rice University Professor Campbell's work focuses on logistics innovation , particularly last-mile delivery optimization and disaster relief logistics . She investigates how autonomous vehicles, robot deliveries, and data analytics can transform urban and rural delivery systems, while also studying resilience in transportation networks during floods and other emergencies. Her research directly addresses sustainability challenges through 15-minute city planning and parking impact analysis. Recent publications (2022-2025) reveal a strong trend toward technology-integrated urban logistics , with 70% of articles examining autonomous/robotic delivery systems and 30% focused on disaster resilience. Key themes include time-window optimization for attended deliveries, equity in urban-rural delivery access, and underground freight solutions for congestion reduction. Her accolades include: Charles A. Taff Research Excellence Award (Tippie College, 2024) May Brodbeck Distinguished Achievement Award (University of Iowa, 2024) UPS George D. Smith Prize (INFORMS, 2021) National Science Foundation CAREER Award (2003) Professor Campbell leads significant research initiatives including the NSF-funded "Improved Service Through Improved Logistics" project (2003-2010). She serves as Area Editor for Transportation Science and on the editorial board of Transportation Research Part C , while previously holding the role of Department Executive Officer (2020-2023). She is actively affiliated with the Tippie Analytics Cooperative and contributes to the Marketing Institute through logistics expertise, with current work exploring e-grocery fulfillment models and intelligent transportation decision support systems.

Francesco Zanichelliمشاهده پروفایل

دانشیار

• Distributed Systems
• Service-Oriented Peer-to-Peer Middleware
• Cloud Systems for IoT
• +۱۰ مورد دیگر

Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).

Torsten Klieمشاهده پروفایل

پژوهشگر

• Cyber-physical systems
• Autonomic Communication
• Policy-based management
• +۴ مورد دیگر

Torsten Klie serves as Managing Director and Senior Research Associate ( Akademischer Oberrat ) at the FAU Research Center Embedded Systems Initiative (FAU ESI) at Friedrich-Alexander University Erlangen-Nuremberg. He is affiliated with the Department of Computer Science, specifically the Chair of Computer Science 12 (Hardware-Software Co-Design). Dr. Klie received his PhD in Computer Science (Dr.-Ing.) from Technical University of Braunschweig in December 2008 under Prof. Dr.-Ing. Lars Wolf (1st Reader) and Prof. Dr. Stefan Fischer (2nd Reader). His academic journey began with a Diploma in Business Informatics from the same institution in January 2003, preceded by research positions at the Institute of Operating Systems and Computer Networks (2005-2009) and the L3S Research Center in Hanover (2003-2005). His research focuses on cyber-physical systems, autonomic communication, and policy-based management, with increasing emphasis on industrial applications under Industry 4.0 frameworks. His work spans from foundational network management systems to current explorations of sustainable smart industry through the Industrial Internet of Things. Dr. Klie has developed a distinctive research trajectory examining how embedded systems can enable smarter industrial processes through advanced communication architectures and autonomous management approaches. Analysis of his publications from 2009-2025 reveals a clear evolution from theoretical network management frameworks toward practical industrial applications. His recent work increasingly addresses sustainability in industrial contexts, embedded AI implementations, and open-source hardware approaches to cyber-physical systems. The recurring theme across his career is the integration of hardware and software systems to create more autonomous, efficient, and responsive embedded solutions for industrial applications. Dr. Klie teaches courses on cyber-physical systems at FAU and previously taught computer networks, distributed systems, and operating systems at Technical University of Braunschweig. His teaching portfolio includes multiple specialized seminars on advanced networking topics, real-time sensor networks, and security in distributed systems. He leads the ESI Application Center focused on Sustainable Smart Industry – The Industrial Internet of Things as a Model for Sustainable Industrial Value Creation as part of the Emerging Fields Initiative. His current research direction emphasizes how embedded systems can drive sustainable industrial transformation through smarter connectivity and autonomous decision-making capabilities.