جست‌وجوی استاد و پژوهشگر

• Algorithm design and analysis
• Cellular networks
• Connected cars
• +۱۱ مورد دیگر

Carla Fabiana Chiasserini is a Full Professor and Deputy Director at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin. She serves as a Component of the CARS@PoliTO Interdepartmental Center - Center for Automotive Research and Sustainable Mobility and acts as a Spoke leader for research and innovation activities. Her academic career spans multiple prestigious institutions and she maintains active collaborations worldwide. Professor Chiasserini's research interests span algorithm design and analysis, cellular networks, connected cars, edge computing, heterogeneous wireless networks, Internet of Things, machine learning, mobile networks, mobile services, and performance evaluation. Her work bridges theoretical algorithm development with practical applications in next-generation telecommunications systems. She leads the TNG research group at DET and focuses on Machine Learning for Networking, with specific research lines in Network Slicing in 5G, Connected autonomous cars, and Opinion dynamics in social networks. Her research aligns with Sustainable Development Goals including Industry, Innovation and Infrastructure; Sustainable Cities and Communities; and Climate Action. Her recent publications demonstrate a strong trend toward integrating machine learning with edge computing, 5G/6G systems, and automotive applications. The research spans from theoretical algorithm development to practical implementations for XR offloading, distributed service provisioning, reliability assessment of AI-based automotive systems, and satellite networking. Her work shows increasing focus on practical implementations with industry applications, particularly in the automotive sector and next-generation telecom infrastructure. Best Paper Award - Wireless Telecommunications Symposium (WTS) 2018 Best Paper Award - IEEE WoWMoM 2016 Best Paper Award Runner-up at ACM MSWiM 2016 Top Paper Award at the ACM CoNEXT 2016 Cloud-Assisted Networking (CAN) Workshop Best Paper Award at SPACOMM 2014 Best Paper Award at AD HOC NOW 2014 2010 Editor of the Year Award for the Ad Hoc Networks journal (Elsevier) IEEE Fellow (2018-) ACM Fellow (2024-) Professor Chiasserini actively advises numerous PhD students working on cutting-edge topics in network systems, with recent graduates focusing on edge services in 5G networks, resource-aware learning in mobile networks, and deployment of microservices at the network edge. She leads multiple significant research grants including O-RAN (2024-2027), CSI-Future (2023-2025), RESTART - Spoke 4 (2023-2025), PREDICT-6G (2023-2025), and several others funded by PNRR, EU Horizon programs, and industry partnerships. Her work has substantial practical impact through numerous patents including OffloaDNN and SEM-O-RAN. She leads the TNG research group within the Department of Electronics and Telecommunications and participates in the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. Her laboratory work focuses on practical implementations of theoretical concepts, particularly in the areas of connected vehicles, edge computing, and 5G/6G systems. She maintains strong industry connections through projects with Intel Corporation and other technology partners, ensuring her research has direct real-world applications.

• Silicon Photonics
• Optical Waveguides
• Defect Engineering
• +۳ مورد دیگر

Andrew Knights is a Professor in the Department of Engineering Physics at McMaster University, with a research focus on silicon photonics and optical waveguide engineering. His work spans defect-mediated optical modulation, hybrid material integration, and photonic device optimization. Specializes in silicon photonics for mid-infrared applications Key contributions to defect engineering in silicon waveguides Develops hybrid silicon-organic and silicon-germanium photonic devices Recent research trends include subwavelength grating metamaterials, thermal resonance stabilization techniques, and high-speed silicon-based optical detectors. His publications emphasize SOI platforms, TeO2 cladding for active photonic circuits, and novel trimming methods for microring resonators. Knights' scholarly activity demonstrates deep expertise in CMOS-compatible photonic integration, with applications in optical interconnects, LIDAR, and biomedical sensing systems. His work bridges fundamental defect physics with practical device implementation in silicon photonics.

Edin Omerdicمشاهده پروفایل

عضو هیئت علمی

• Marine Robotics
• Fault-Tolerant Control Systems
• Underwater Navigation
• +۳ مورد دیگر

Edin Omerdic is a Senior Research Fellow at the Department of Electronic and Computer Engineering, University of Limerick, Ireland. His expertise focuses on marine robotics, fault-tolerant control systems, and underwater navigation technologies. Research Interests: Development of advanced control systems for Remotely Operated Vehicles (ROVs) and Unmanned Underwater Vehicles (UUVs) Integration of FPGA-based hardware for high-speed cybersecurity and data processing Design of optical fiber sensors for pressure and depth measurement in marine environments System integration for cyber-physical systems and heterogeneous robotic platforms Applications in offshore renewable energy inspection and maritime emergency response His work emphasizes real-time control allocation, power management, and sensor fusion for long-endurance underwater missions. While no specific awards or students are listed, his research has produced significant publications in marine robotics and embedded systems over two decades.

Surya D. Pathakمشاهده پروفایل

دانشیار

• Supply Chain Management
• Complex Adaptive Systems
• Sustainable Operations
• +۳ مورد دیگر

Surya Pathak is an Associate Professor of Operations Management at the University of Washington, Bothell School of Business , with a PhD in Interdisciplinary Management of Technology from Vanderbilt University (2005). His research focuses on supply chain management through the lens of complex adaptive systems and network theory. PhD: Interdisciplinary Management of Technology, Vanderbilt University (2005) MS: Electrical Engineering, Vanderbilt University (2001) BE: Industrial Electronics Engineering, Pune University (1999) His research explores: Supply network dynamics under risk and uncertainty Policy design frameworks for large-scale networks Sustainability implications in networked supply chains Diffusion of lean practices via complexity theory Interfunctional interfaces (marketing-finance-operations) Agent-based simulations and reliability-based design optimization Recent work includes NSF-funded research on technical networks and environmental performance. Publications span Decision Sciences , Journal of Supply Chain Management , and IEEE Transactions on Engineering Management . Awards include multiple MBA Faculty of the Year recognitions and NSF grant contributions. 2017: Nominated for Distinguished Teaching Award with Technology 2016: Inducted as Research Collaborator at IIM Bengaluru 2010: $311,205 NSF grant He teaches courses like Introduction to Operations Management and Quantitative Business Methods , and serves as Area Coordinator for Operations Management and Information Systems.

• Industrial metrology
• Instrumented indentation test
• Performance measurement systems
• +۵ مورد دیگر

Maurizio Galetto serves as Full Professor and Director of the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He holds multiple leadership positions including membership in the Academic Senate, Regulations Commission, and University Committee for Research, Technology Transfer and Services to the Territory. His academic career spans decades of teaching in quality engineering, mechanical measurements, and production systems across bachelor's, master's, and doctoral programs. Professor Galetto's research focuses on industrial metrology, instrumented indentation testing, performance measurement systems, quality engineering, and technological surface characterization. His work bridges theoretical metrology with practical industrial applications, particularly in manufacturing technologies and systems. His research intersects with key Sustainable Development Goals including Quality Education, Industry Innovation, and Responsible Consumption and Production. His publication record from 2023-2025 reveals strong emphasis on surface characterization techniques, quality control systems in manufacturing, collaborative robotics applications, and sustainable production methods. The research demonstrates consistent application of metrology principles to solve real-world industrial problems across diverse sectors including automotive, electronics, food processing, and additive manufacturing. Professor Galetto actively supervises PhD students working on quality engineering applications, with current research focusing on sustainable agri-food processes, collaborative robotics in quality control, and digital traceability systems. His research group has secured significant funding through competitive tenders, EU projects, and commercial contracts with major industrial partners including Electrolux and Lavazza. His laboratory work centers around the Quality Engineering research group (DIGEP), with special focus on metrology systems, surface characterization, and quality control methodologies. The research integrates advanced measurement techniques with statistical process control and digital twin technologies for enhanced manufacturing quality assurance.

Sebastien Pillementمشاهده پروفایل

مدرس

• Computer Engineering
• Embedded Systems
• Computer Architecture
• +۳ مورد دیگر

Sébastien Pillement is a Lecturer at Polytech'Nantes, the College of Engineering of the University of Nantes, and a member of the ASIC research team within the IETR UMR 6164 laboratory. His career spans over 13 years at the IUT of Lannion (University of Rennes 1) before joining the University of Nantes in 2012. He holds a PhD in Computer Science from the University of Montpellier II (1998) and a Habilitation à Diriger des Recherches (HDR) from the University of Rennes 1 (2010). Current Research Focus: Dynamically Reconfigurable Architectures (DRA), Hardware Security, Fault-Tolerant Embedded Systems, NoC (Network-on-Chip), Design Methodologies. Teaching Areas: Digital Circuits, Computer Architecture, Operating Systems, Real-Time Systems, and Algorithms for Embedded Computing. His research explores flexible and efficient architectures for embedded systems, emphasizing real-time management, reliability, and security. Key article trends include RISC-V processors, neural network acceleration on MPSoC, formal verification of arithmetic circuits, and runtime FPGA scheduling. Collaborations span international institutions like the University of Toronto and CEA, as well as industrial partners such as STMicroelectronics and Thales. PhD Students : Current: Laureline Dubucq (Security & AI), Mustafa Ibrahim (Ultra-Low Power AI), Téo Biton (Runtime Anomaly Detection), Mohamed Amine Zhiri (Adaptive NoC), Juliette Pottier (RISC-V Protection). Graduates: Quentin Dariol (Neural Network Timing), Alexis Duhamel (FPGA Scheduling), Safouane Noubir (Security in Multi-Core Systems), Hai Dang Vu (Probabilistic Timing Analysis), David Pallier (Sensor Clock Synchronization). Projects : Current: ADAPTING (2023-2029), FITNESS (2023-2027), SEC-V (2022-2025), NOP (2021-2025). Past: SPARTE (2015-2018), ARDyT (2011-2015), FosFor (2008-2011).

Luciano Ostمشاهده پروفایل

مدرس ارشد

• Embedded Systems
• Hardware/Software Co-design
• Cybersecurity
• +۷ مورد دیگر

Luciano Ost is a Senior Lecturer and Programme Director of the Computer and Electronic Engineering (CEE) Programme at the University of Leicester. He holds a Ph.D. in Computer Science from Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil (2010). His research focuses on enhancing reliability, security, and performance of embedded and life-critical systems through innovative hardware/software co-design approaches. Key areas include fault tolerance in neural networks, radiation effects on embedded systems, and real-time control systems. Prior to Leicester, he worked at the University of Montpellier II (France) as an assistant professor and research assistant. He has authored/co-authored over 100 papers and two books, with notable contributions to soft error reliability assessment frameworks (e.g., SOFIA, gem5-FIM) and embedded system security solutions like BIDS for in-vehicle networks. His research spans topics like FPGA-accelerated intrusion detection (BNN-based), radiation resilience in IoT edge devices, and compiler optimization impacts on multicore reliability. He has conducted extensive studies using Geant4 simulations and virtual platforms for fault injection analysis.

Paul Anandanمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Control Systems
• Robotics
• +۳ مورد دیگر

Dr. Paul Anandan is a Researcher in the Department of Chemical Engineering at Loughborough University. His work focuses on AI-driven control systems, robotics, and modular manufacturing systems. He holds a PhD in Manufacturing Engineering (2014–2018) from Loughborough, following a Master’s in Mechanical Engineering (University of Greenwich, 2010) and a Bachelor’s in Electronics & Instrumentation (Anna University, 2008). His research integrates artificial intelligence with industrial processes, including reinforcement learning for crystallization control and automated robotic manufacturing cells. Key projects include replacing traditional PID/MPC controllers with AI methods and developing reliable modular assembly systems. Current work emphasizes dynamic reconfiguration of robotic cells using multi-sensor inputs and safety constraints, funded by EPSRC (EP/V051180/1 and EP/R032858/1). His publications span robotics, control theory, and modular systems, with a focus on practical applications in manufacturing. Research collaborations include industry partnerships to enhance process efficiency and automation.

Haidar Sametمشاهده پروفایل

پژوهشگر

• Power Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Haidar Samet is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, focusing on power systems, electric arc furnaces, and fault detection. He previously held academic roles at Shiraz University, including Professor (2018–2020), Head of Department of Power and Control (2017–2019), Associate Professor (2014–2018), and Assistant Professor (2008–2014). His research bridges electrical engineering fundamentals with practical applications in renewable energy and grid reliability. Research Interests: Electric Arc Furnace Modeling and Optimization Fault Detection in Power Systems and Photovoltaic Systems Grid Protection Mechanisms Renewable Energy Integration and Smart Grid Technologies Power Quality Analysis Publications highlight advancements in arc fault modeling, transformer protection algorithms, and renewable energy system optimization. His work frequently addresses challenges in grid stability, energy efficiency, and predictive maintenance. No scientific awards or grants were explicitly mentioned in the provided materials.

Yu Biمشاهده پروفایل

استادیار

• Hardware Security
• Deep Learning Accelerators
• Supply-Chain Security
• +۳ مورد دیگر

Dr. Yu Bi is an Assistant Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island. His research focuses on hardware security, supply-chain security, and deep learning hardware acceleration. He holds a Ph.D. from the University of Central Florida (2016), an M.S. from New York University (2012), and a B.S. from Xidian University (2010). His work emphasizes fault-tolerant neural network architectures, adversarial attack mitigation, and secure hardware design. Notable contributions include frameworks like SHIELDeNN and Fiji-FIN, addressing vulnerabilities in quantized neural networks and inference accelerators. His research bridges emerging transistor technologies with cybersecurity solutions. Publications highlight trends in hardware-assisted cybersecurity, adversarial machine learning defense mechanisms, and the application of entropy modeling to analyze attack impacts. Ongoing studies explore post-Moore’s Law hardware innovations and backdoor attack countermeasures in large language models.

Christopher M Greeneمشاهده پروفایل

دانشیار

• Industry 4.0
• Robotics (Collaborative Robots/Cobots)
• Quality Engineering
• +۵ مورد دیگر

Dr. Christopher M. Greene is an Associate Professor at the School of Systems Science and Industrial Engineering, Binghamton University. His research focuses on applying Industry 4.0 technologies to enhance manufacturing systems, including collaborative robotics, additive manufacturing, and data analytics. He holds a BS from Syracuse University and MS/PhD degrees from Binghamton University. His expertise spans quality engineering, AI-driven robotics, and electronics manufacturing. Key research areas include improving solder joint reliability, optimizing manufacturing processes via DMAIC/Six Sigma, and leveraging augmented reality in cobotics. Recent publications emphasize defect analysis in electronics, healthcare robotics ethics, and material science advancements. He actively contributes to advancing quality control frameworks in printing and pharmaceutical processes. His work bridges theoretical models with industrial applications, aiming to solve real-world manufacturing challenges.

Seungbae Parkمشاهده پروفایل

استاد

• Electronics Packaging
• MEMS Packaging Reliability
• Computer Aided Engineering
• +۶ مورد دیگر

Dr. Seungbae Park is a SUNY Distinguished Professor in the Department of Mechanical Engineering at Binghamton University's Watson College of Engineering and Applied Science. He serves as Director of the Integrated Electronics Engineering Center (IEEC) and leads the Opto-Mechanics and Physical Reliability Laboratory. With over two decades of experience since joining Binghamton in 2002, Dr. Park has established himself as a leading expert in electronics packaging reliability. Dr. Park's educational background includes: BS and MS from Seoul National University PhD from Purdue University Dr. Park's research focuses on electronics packaging reliability, with particular expertise in micro/nanomechanics, optomechanics, and digital image correlation techniques. His work addresses critical challenges in electronic device reliability including thermal cycling, mechanical shock, moisture effects, and electromigration. He has pioneered methods for in-situ warpage measurement and deformation analysis of electronic packages using advanced optical techniques. Dr. Park's recent publications demonstrate a strong focus on emerging packaging technologies including 2.5D/3D integration, through-glass vias, and advanced thermal management solutions. His work increasingly incorporates machine learning approaches for process optimization and reliability prediction, reflecting the evolving nature of electronics packaging research. Dr. Park has received numerous prestigious honors: Elevated to SUNY Distinguished Professor Named IEEE Fellow for electronics packaging research Named ASME Fellow for three decades of electronics packaging innovations Outstanding poster award from ASME InterPACK 2013 Dr. Park has successfully advised over 30 PhD students and numerous Master's students, many of whom now work at leading technology companies including Apple, Intel, Samsung, and Google. His research has been supported by significant funding from industry partners such as IBM, Samsung, Intel, Analog Devices, and Corning, as well as government agencies including NASA and the Department of Energy. Dr. Park directs the Opto-Mechanics and Physical Reliability Laboratory, which features state-of-the-art equipment including a 3D printer, Digital Image Correlation system, high-speed camera, Wyko surface profiler, Bose tester, and nano-characterization system. The lab collaborates with the Integrated Electronics Engineering Center (IEEC) and the Center for Advanced Microelectronics Manufacturing (CAMM).

David J. Klotzkinمشاهده پروفایل

دانشیار

• Optoelectronics
• Photonics
• High-speed Lasers
• +۸ مورد دیگر

David J. Klotzkin is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University, where he has been a faculty member since 2008. He is a Senior Member of the IEEE and has received notable awards, including the departmental research award in 2010 and the Chancellor's Award for Excellence in Teaching (2016-2017). His educational background includes a BS in Electrical Engineering from Rensselaer Polytechnic Institute (1988), an MS in Materials Science from Cornell University (1994), and a PhD in Electrical Engineering from the University of Michigan (1998). His research focuses on High-speed telecommunications lasers Free space modulating retroreflectors Integrated opto-electronic devices Quantum dot lasers and laser dynamics Photonic-band-gap devices Organic luminescent devices Microfluorescence detectors He has contributed to the development of innovative sensors, such as optical oxygen sensors and CMOS-based CO₂ sensors, and advanced fabrication techniques like interference lithography for photonic crystals. David has also pioneered a multidisciplinary STEM scholarship program for community college transfer students, emphasizing nanotechnology and microfabrication through hands-on research projects. His teaching portfolio includes courses such as EECE 506: Mathematical Methods in Electrical Engineering EECE 260: Electrical Circuits Advanced Semiconductor Lasers at both Binghamton and the University of Cincinnati David has advised numerous students, including those in the classes of 2014, 2015, and 2016. His work extends to collaboration with industry partners like IBM and the Naval Research Lab, and he has led the Klotzkin Lab, which explores cutting-edge optoelectronic and photonic systems. Key contributions include the Glaparex simulation tool, which optimizes distributed feedback lasers, and the development of microfluidic lab-on-a-chip sensors for biomedical applications.

Mahmoud Sayed Mahmoud Eidمشاهده پروفایل

پژوهشگر ارشد

• Data-driven fault diagnosis
• Electric power trains
• Electromagnetic modeling
• +۱ مورد دیگر

Mahmoud Sayed Mahmoud Eid is a PhD Research Fellow in Engineering Sciences at the University of Agder. His research focuses on fault diagnosis in electric powertrains using AI-driven methods. He holds a B.S. in Mechatronics Engineering from Helwan University (2013) and an M.S. in Advanced Mechanical and Robotics Engineering from Ritsumeikan University, Japan (2019). Research Focus: Develops computational models for early fault detection in electric motors and inverters under noisy operational conditions. His methodologies integrate electromagnetic theory with machine learning for industrial applications in transportation and energy systems. Publications: His 6 most recent articles (2022-2025) focus on AI-enhanced diagnostics for power electronics and motor systems, demonstrating consistent innovation in signal processing and classifier design for industrial reliability.

Dirk Thißenمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Web Services
• Quality of Service (QoS)
• +۳ مورد دیگر

Dirk Thißen is a Postdoctoral Researcher at RWTH Aachen University, affiliated with the COMSYS research group. His work focuses on distributed systems, web services, and quality of service (QoS) management. He has contributed to interdisciplinary projects like SensorCloud, aiming to develop trustworthy platforms for interconnected sensors and actuators. His research spans service-oriented architectures, network protocols (e.g., SIP/IMS), and middleware solutions for collaborative engineering and distributed systems. Key areas: Sensor networks, cloud computing, QoS optimization, and service composition Notable projects: SensorCloud, electronic service markets, and IMS service validation Thißen's publications address challenges in distributed systems, including service replication for reliability, multimedia integration in design processes, and protocol validation for next-generation networks. His work often bridges theoretical concepts with practical implementations in telecommunications and collaborative environments. His research consistently emphasizes performance evaluation and scalability, with contributions to both academic conferences and industry-relevant applications. While no specific awards are noted in the provided text, his extensive publication record reflects sustained engagement in high-impact fields.