جست‌وجوی استاد و پژوهشگر

Mohamed Mekkiمشاهده پروفایل

پژوهشگر ارشد

• Network Management
• 5G and 6G Networks
• Cloud and Edge Computing
• +۴ مورد دیگر

Mohamed Mekki is a Postdoctoral Research Fellow in the Communication Systems Department at EURECOM, Sophia-Antipolis, France, specializing in zero-touch network automation for 5G/6G systems. He completed his PhD at EURECOM in July 2024 under Professor Adlen Ksentini's supervision, following a 2020 Computer Systems Engineering degree from the National School of Computer Science in Algiers and an internship on 5G network slice supervision. Education: PhD in Communication Systems, EURECOM (2024) Computer Systems Engineering, National School of Computer Science, Algiers (2020) Dr. Mekki's research pioneers AI-driven network management, focusing on Explainable AI (XAI) and Large Language Models (LLMs) to enhance trustworthiness in 6G automation. His work addresses critical challenges in cloud-edge continuum management, microservices resilience, and network slicing performance. Key contributions include frameworks for stateful microservice lifecycle management, fine-grained resource autoscaling, and scalable monitoring architectures validated in containerized multi-cluster environments. His six publications (2021-2025) reveal an evolutionary trajectory from foundational 5G slicing monitoring toward advanced AI integration for 6G. The research consistently bridges theoretical AI models with practical network requirements, emphasizing resilience in distributed systems and granular resource control across cloud-edge infrastructures. Scientific Awards: No documented awards or fellowships Advising and Grants: No current student supervision or major grant leadership is indicated; collaborative work suggests participation in EURECOM's industry-partnered projects and European research initiatives focused on 5G/6G validation. Labs and Teams: Dr. Mekki operates within EURECOM's Communication Systems research group alongside Professor Adlen Ksentini, Bouziane Brik, and Christos Verikoukis, contributing to European testbeds for next-generation network management solutions.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Sensor Technology
• +۵ مورد دیگر

Frederic Bezombes is a Reader (associate professor) in Robotics at the School of Engineering, Liverpool John Moores University. Previously, he held roles as Lecturer in Mechatronics and Research Assistant at the university's General Engineering Research Institute (GERI). His work spans robotics, UAV applications, sensor technology, 3D reconstruction, and optical communication systems. PhD in Fiber Bragg Grating Temperature Sensors (GERI, 2004) B.Eng. Mechanical Engineering (University of Central Lancashire, 1999) D.U.T. Mechanical and Robotic Engineering (Institut Universitaire de Montpellier II, 1996) His research integrates drones with multispectral sensors for environmental monitoring, develops optical communication for underwater robotics, and explores precision measurement techniques. Recent publications highlight UAV applications in coastal morphology, virtual reality for sports analysis, and interferometer-based distance measurement. Frederic has contributed to projects like DigiArt (European Commission grant) and multiple short-term contracts with the Metropolitan Police (2023-2024), focusing on UAV deployment for security and forensic applications.

Junaid Farooqمشاهده پروفایل

استادیار

• Wireless Communications
• Cybersecurity
• AI-Driven Network Management
• +۵ مورد دیگر

Junaid Farooq is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn. He specializes in Wireless Communications , Cybersecurity , and AI-Driven Network Management , focusing on secure and resilient NextG networks, cyber-physical systems, and ultra-reliable low-latency communications. Education Ph.D., Electrical Engineering, New York University (2020) M.S., Electrical Engineering, King Abdullah University of Science and Technology (2015) B.S., Electrical Engineering, National University of Sciences and Technology (2013) His research explores network slicing , resource orchestration , and cyber risk management , addressing challenges in 5G/6G security, industrial automation, and smart infrastructure. Recent work includes dynamic resource allocation, fog computing, and energy-efficient network designs. Junaid has published extensively on topics like botnet mitigation in IoT , stochastic vehicular communication models , and green virtualization . Notable works include 2025 publications in IEEE Open Journal of the Communications Society and the IEEE WoWMoM 2025 CCNI Workshop . Scientific Awards Dante Youla Award for graduate research excellence (2020) NSF Travel Award (2019) ICERM Travel Award (2019) Athanasios Papoulis Award for teaching (2018) Outstanding Reviewer for Elsevier Computer Communications (2018) Ernst Weber Fellowship (2016-2018) President’s Gold Medal at NUST (2014) He advises students like Xingqi , Ritesh , and Yuhui , and serves as a technical reviewer for journals such as IEEE Transactions on Wireless Communications and IEEE Transactions on Mobile Computing . In 2025, he was elevated to IEEE Senior Member .

Bochen Jiaمشاهده پروفایل

دانشیار

• Human Factors and Ergonomics
• Wearable Sensors
• Worker Capacity and Safety
• +۴ مورد دیگر

Bochen Jia is an Associate Professor at the University of Michigan-Dearborn's College of Engineering and Computer Science , specializing in Industrial and Manufacturing Systems Engineering . With a background in Industrial & Systems Engineering (PhD and MS) and Engineering Mechanics (MS and BS), he leads research on human factors, ergonomics, and human-exoskeleton interactions. Research Highlights: Investigates worker capacity changes under modern occupational risks Led ASTM International task group to establish exoskeleton digital modeling standards Explores ergonomic challenges in connected/autonomous vehicle design Develops wearable systems for posture and fatigue monitoring Advances pedestrian safety through AR/VR interface design Publications Trends show expertise in biomechanics, AI-driven workload assessment, autonomous vehicle-pedestrian communication, and STEAM education integration over 2018-2025. Scientific Awards include 11 grants from organizations like ASTM International, Michigan Mobility Transformation Center, and Ford Motor Company. Key projects involve exoskeleton standards, automated driving education, and pedestrian safety technologies. Teaching Innovation includes integrating ergonomic competitions, practical engineering tools, and lab development for automotive education. Established a multipurpose lab with external funding to prepare students for future mobility challenges.

Stephen Turnerمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Blockchain
• Software-Defined Networking
• +۱۲ مورد دیگر

Stephen Turner is a Professor of Computer Science at the University of Michigan-Flint, affiliated with the College of Innovation and Technology and the Department of Mathematics and Applied Sciences. He currently serves as Vice Provost for Assessment and Accreditation and leads the Sustainability Research Cluster. He has held several key administrative roles, including Associate Provost and Dean of Graduate Programs (2017–2021), and has been continuously promoted from Assistant to full Professor since joining the faculty in 2000. B.S. in Computer Science and Applied Mathematics, Western Michigan University (1987) M.S. in Computer Science, Michigan State University (1989) Ph.D. in Computer Science, Michigan State University (1989) His research focuses on Intelligent Transportation Systems, Blockchain, Software-Defined Networking, Internet of Things, Smart Cities, and next-generation digital learning environments . He has made significant contributions to sustainable computing, virtual lab infrastructures, and educational technologies. His recent work emphasizes integrating SDN and blockchain for secure IoT networks and building automated systems for accreditation and assessment. The analysis of his recent publications reveals a strong trend toward interdisciplinary research at the intersection of networking, sustainability, and education. His work spans technical innovation in SDN and blockchain, applied research in smart cities and transportation, and pedagogical advancements in flipped classrooms, cognitive load, and virtual learning. The keywords across his publications indicate deep engagement with both foundational computer systems and emerging societal challenges in education and environmental justice. Scientific Awards: ACE Fellow (2015), The American Council on Education Distinguished Service Award (2014), University of Michigan-Flint Meritorious Paper Award (2011), ACM SIGITE Stephen Turner has served as Principal Investigator on multiple grants from the National Science Foundation and the Environmental Protection Agency, including projects such as Data Buddies and the Environmental and Climate Justice Community Change Grants , totaling over $1.5 million in funding. He has advised on curricular development, graduate education, accreditation, and sustainability initiatives. His leadership includes directing the MS in Computer Science program and serving as Accreditation Liaison Officer. He leads the Sustainability Research Cluster , focusing on interdisciplinary projects that integrate technology with environmental and social justice, particularly in urban settings like Flint. His team works on community solar, smart infrastructure, and equitable access to technology and education.

Christian Büningمشاهده پروفایل

پژوهشگر

• Dance and Movement Culture
• Digitalization in Sports Education
• Sports Informatics
• +۷ مورد دیگر

Dr. Christian Büning is a researcher at the Institute for Dance and Movement Culture at the German Sport University Cologne (DSHS). He is actively involved in research on digitalization in sports education, movement pedagogy, and the integration of technology in physical education. His work spans multiple interdisciplinary projects, particularly focusing on avatar-based visualization, AI in teaching, and blended learning in dance and sports contexts. Education: Diploma in Sports Science, German Sport University Cologne (2007–2012) B.Sc. in Psychology, FernUniversität in Hagen (2013–2016) His research interests include creativity assessment, cognitive inhibition, digital tools in education, and embodied learning. He explores how motion visualization and artificial intelligence can enhance teaching and learning in school and university sports settings. His work often involves collaborative, practice-oriented projects with educational and technological dimensions. The recent publications highlight a strong trend toward digital innovation in sports pedagogy, with a focus on avatar-supported systems, markerless motion capture, and AI-driven annotation tools. These works reflect a commitment to transforming traditional teaching methods through technology, especially in dance and physical education. Scientific Awards: 1. Platz für herausragende Hochschullehre 2019/20 (DSHS Teaching Prize, 2020) Fellowship für Innovationen in der digitalen Hochschullehre (2022) Nachwuchspreis der DSHS Köln für beste Dissertation (2025) Dr. Büning has been involved in multiple funded and self-initiated projects such as ComeSport, #vortanz, and Listen to Gym, often in collaboration with colleagues like Claudia Steinberg and Marco Grawunder. These projects emphasize innovation in teaching, digital competence, and interdisciplinary research. He also advises on educational design and participates in academic and artistic events, including guest lectures and performance curation. While no formal advisees are listed, his leadership in collaborative research suggests a mentoring role. He is associated with the Institute for Dance and Movement Culture and has previously worked in the Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation. His projects often involve cross-institutional teams and digital learning environments, functioning as dynamic research and development labs focused on the future of sports education.

Yakun Sophia Shaoمشاهده پروفایل

دانشیار

• Computer Architecture
• Specialized Accelerators
• Heterogeneous Architecture
• +۴ مورد دیگر

Yakun Sophia Shao is an Associate Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She holds a Ph.D. (2016) and M.S. (2014) in Computer Science from Harvard University, alongside a B.E. in Electrical Engineering from Zhejiang University, China. Her research focuses on computer architecture , particularly domain-specific accelerators , heterogeneous systems , and agile VLSI design methodologies . Key research centers: Agile Design of Efficient Processing Technologies (ADEPT), Berkeley Emerging Technologies Research (BETR), Berkeley Wireless Research Center (BWRC), SpeciaLIzed Computing Ecosystems (SLICE) Her work explores hardware-software co-design for efficiency in AI and robotics, including projects like Simba (chiplet-based AI accelerators) and Virgo (GPU matrix units). Notable tools developed include WIICA (workload characterization) and Chipyard (SoC frameworks). Selected honors include: 2024 CRA-WP Anita Borg Early Career Award 2023 NSF CAREER Award 2022 IEEE TCCA Young Computer Architect Award 2022 Intel Rising Star Faculty Award She teaches courses including EECS 151 (Digital Design & ICs) and EECS 251A (Advanced Digital Design).

Thomas Bonseمشاهده پروفایل

استاد

• Media Engineering
• Video Signal Processing
• High Dynamic Range (HDR) Imaging
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Bonse is a Professor in the field of Bildtechnik (Image Technology) at the Hochschule Düsseldorf (University of Applied Sciences Düsseldorf), Faculty of Media since 2000. His career includes roles as project leader at ITK Telekommunikation AG , group leader at the Forschungsinstitut für Telekommunikation , and R&D engineer at Grass Valley and Panasonic in the domain of advanced TV systems. Education: Diplom-Ingenieur (Dipl.-Ing.) and Doctorate (Dr.-Ing.) in Electrical Engineering from the University of Dortmund. Current Role: Teaching and research in image technology, supervising 15+ theses annually, and leading projects in HDR, broadcast workflows, and real-time video systems. His research focuses on media engineering , particularly in high dynamic range (HDR) imaging , video signal processing , and real-time broadcast systems . Key areas include: Quantisierung von Videoformaten ACES color workflow optimization Wireless video transmission AI-driven object detection IP-based broadcast infrastructures Photovoltaic soiling measurement via drones Recent research trends show emphasis on IP-based video transmission (2016-2023), HDR/SDR workflows (2021-2023), and automated studio systems (2018-2023). He has collaborated with institutions like the Institut für Rundfunktechnik (IRT) , Sportcast GmbH , and Ericsson . As a supervisor, he has guided students in: Automated camera control (Scheunert, 2020) Photovoltaic soiling detection (Mikulaschek/Scheunert, 2020) Sports broadcasting analytics (Mikulaschek, 2022) LED studio lighting systems (2023) Contact: thomas.bonse@hs-duesseldorf.de | Room 04.2.006, HSD Campus

• Control Theory
• Agricultural Engineering
• Machine Learning
• +۳ مورد دیگر

Sjoerd Boersma is a Researcher at Biometris, Wageningen University & Research (WUR), specializing in the integration of advanced control systems with agricultural technology. His work focuses on developing predictive control models, observability analysis frameworks, and digital twin solutions to optimize greenhouse production, wind farm efficiency, and water resource management. His research spans Control Theory , Agricultural Engineering , and Machine Learning , with specific expertise in predictive control for systems with parametric uncertainty, sensor configuration optimization, and Bayesian neural methods for crop modeling. Current projects address autonomous greenhouse control using reinforcement learning and virtual crop modeling for tomato production. Recent publications reveal a strong trend toward cross-disciplinary solutions where digital twin technology bridges agricultural engineering and control systems. His work consistently targets sustainability challenges, from wind farm load reduction to precision water management and greenhouse climate optimization, demonstrating methodological innovation in applying control theory to biological systems. Boersma actively mentors PhD candidates, serving as co-promotor for van Laatum, B.'s research on autonomous greenhouse control systems. His current projects include the active Autonomous Production Control of Greenhouse Farming System with Reinforcement Learning and the recently completed Virtual Tomato Crops initiative funded by WUR. As a core member of the Biometris research group, he contributes to WUR's mission through collaborative projects like the VIOLA potato stress classification model and the digital twin framework for water management, emphasizing real-world implementation of control systems in agricultural environments.

• Wireless Networking
• Sensor Networks
• Rural Networking
• +۵ مورد دیگر

Bhaskaran Raman is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he leads research in networking systems with a focus on practical applications in developing regions. His work spans wireless networking, sensor systems, and mobile computing, with recent expansion into AI-assisted educational technologies. His research interests include wireless mesh networks for rural connectivity, transportation systems monitoring, mobile sensing applications, and educational technology. Notably, his lab has developed innovative solutions like Road-RFSense for traffic estimation in developing regions, FullStop for monitoring unsafe bus stopping behavior, and more recently, AI systems for automatic short answer grading with feedback. Analysis of his publication trends shows a consistent focus on practical networking challenges with strong emphasis on real-world deployment, particularly in resource-constrained environments. In recent years, he has expanded his research to include AI applications in education while maintaining his core expertise in systems research. Raman has mentored numerous graduate students who have become active researchers in networking and systems areas, with many continuing to collaborate with him on publications. His research has been supported by various grants focused on networking for developing regions and smart transportation systems. His lab at IIT Bombay focuses on building practical networking solutions with real-world impact, particularly for transportation safety and educational applications. The team combines expertise in wireless systems, mobile computing, and increasingly, artificial intelligence to address complex challenges in these domains.

• Intensive Care
• Critical Care Medicine
• Artificial Intelligence in Healthcare
• +۵ مورد دیگر

Dr. Michel van Genderen serves as a Researcher in the Department of Intensive Care at Erasmus MC's Erasmus School of Medicine, Rotterdam. His work focuses on advancing critical care through innovative research in mechanical ventilation protocols, AI integration, and sustainable ICU practices. With 69 research outputs including 50 articles and 7 reviews, he actively contributes to European critical care initiatives. His research spans Intensive Care Medicine , AI applications in critical care , and environmental sustainability . Key interests include developing standardized data models for ICU networks, optimizing mechanical ventilation strategies, and implementing large language models for clinical decision support. Recent work examines green ICU initiatives from multiple stakeholder perspectives and leverages GPT-4 to improve patient understanding of radiology reports. Analysis of his 15 most recent publications reveals strong emphasis on data standardization for European ICU networks , AI-driven clinical decision tools , and sustainable critical care practices . His work consistently bridges technical innovation with practical clinical implementation, particularly in mechanical ventilation optimization and pandemic response protocols. Dr. van Genderen has supervised at least two graduate students and participates in multi-center collaborations across Europe. His research receives significant attention with news mentions and Mendeley readership. Current projects include the SWITCH study on ventilation strategies and development of the Common Data Model for Intensive Medicine Data Space in Europe. He contributes to critical care innovation through participation in European research networks focused on data interoperability and sustainable healthcare infrastructure. His work on "The green ICU" examines environmental sustainability from healthcare professional, procurement specialist, and regulatory perspectives.

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

Stefan Lankesمشاهده پروفایل

پژوهشگر

• Operating Systems
• System Software
• High-Performance Computing
• +۴ مورد دیگر

Dr. rer. nat. Stefan Lankes is an academic researcher at the Chair of Automation of Complex Power Systems, RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His work focuses on operating systems, high-performance computing (HPC), cloud computing, and lightweight virtualization techniques for embedded and real-time systems. Stefan holds a PhD in Electrical Engineering (2003) for his dissertation on real-time distributed platforms. His career spans roles from Scientific Assistant (1998-2004) to Academic Director (since 2019), with key contributions to HPC infrastructure and simulation environments. Research highlights include Rust-based OS development ( HermitCore unikernel ), GPU virtualization in distributed systems, and energy-efficient embedded computing paradigms. He pioneered the FlippedOS digital teaching platform using virtual workstations for operating systems education. Scientific awards include the 2016 Digital Teaching Fellowship and the 2021 RWTH Lecturer distinction. His publications cover topics from NUMA memory management to real-time CORBA protocols, with recent works addressing unikernel security and CUDA virtualization. Stefan leads simulation infrastructure and HPC virtualization projects, with affiliations to the E.ON Energy Research Center and involvement in European workshops like Euro-Par. His work bridges system software innovation with practical applications in energy systems and supercomputing.

John Sartoriمشاهده پروفایل

دانشیار

• Ultra-low-power embedded systems
• Internet of Things (IoT)
• Wearable electronics
• +۵ مورد دیگر

John Sartori is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota , holding the Robert and Sydney Anderson Professorship. His research focuses on extending Moore's law through energy-efficient computing by addressing hardware bottlene | [truncated for display]

Mats Erling Høvinمشاهده پروفایل

دانشیار

• Generative Design
• CAD
• CAM
• +۶ مورد دیگر

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.