جست‌وجوی استاد و پژوهشگر

Shuo Sean Pangمشاهده پروفایل

دانشیار

• Computational Imaging
• Optical Signal Processing
• AI in Photonics
• +۳ مورد دیگر

Shuo Sean Pang is an Associate Professor at CREOL, the College of Optics and Photonics at the University of Central Florida. He holds a Ph.D. in Electrical Engineering from Caltech and conducted postdoctoral research at Duke University. His work focuses on computational imaging systems, AI-driven optical design, and optoelectronic systems for sensing, imaging, and computing applications. Education Ph.D. Electrical Engineering, California Institute of Technology M.S. Biomedical Engineering, Texas A&M University B.S. Optical Engineering, Tsinghua University Research Interests Dr. Pang’s lab explores computational imaging methods , AI optimization for optical systems , photonic signal processing , and optical design modeling . Current projects include developing photonic integrated circuits for matrix operations, floating-point photonic solvers, and AI-driven photonics design frameworks. Recent Research Trends His 2023–2024 publications emphasize photonic arithmetic hardware (e.g., floating-point multipliers and iterative solvers) and AI-driven photonics (inverse design, variational networks). He has demonstrated fiber-optic computing systems and photonic encoders for high-speed imaging processing. Awards 2019 Excellence in Undergraduate Teaching Award (UCF) 2017 SPIE DCS Rising Researcher Award 2016 Ralph E. Powe Junior Faculty Award Advising & Grants Current advisees include Ph.D. students Andrew Klein (optical iterative solvers), Xichen Shan (imaging systems), and Steven Silverio. He has mentored alumni Zheyuan Zhu (2020) and Yangyang Sun (2019). Research funding has supported his work on photonics-AI integration and low-power optical systems. Labs & Teams He leads the Optical Imaging System Laboratory , which develops next-generation photonic hardware and imaging algorithms. Collaborations include Duke University and Texas A&M, with cross-disciplinary efforts in biomedical optics and computational photonics.

Deepak GCمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Digital Forensics
• Wireless Communication
• +۷ مورد دیگر

Dr. Deepak GC is a Senior Lecturer in Cyber Security and Digital Forensics at Kingston University's School of Computer Science and Mathematics, Department of Networks and Digital Media. He holds a PhD in Wireless Communication Systems from Lancaster University, an MEng in Wireless Networks from Chonbuk National University, and a BEng in Electronics and Communication from Pokhara University. His research focuses on physical layer security , radio access technologies , 5G and beyond networks , spectrum sensing , IoT protocols , drone communications , and blockchain technologies . Recent work includes UAV-assisted networks for disaster resilience, energy-efficient IoT frameworks, and blockchain applications for network security. Dr. GC has participated in EU FP7 S3isE, EU H2020 Wi-5, and UK EPSRC DARE projects. He contributes to academic governance as a representative on Kingston's Faculty Research Degree Committee and University Data Champion. Cisco Certification Fellow of Higher Education Academy He actively supervises PhD students in cybersecurity and wireless technologies and teaches modules including Threat Hunting, Cyber Crime, and Digital Forensics.

Joan Daniel Prades Garciaمشاهده پروفایل

استاد

• Nanotechnology
• Quantum Systems
• Sensors
• +۴ مورد دیگر

Joan Daniel Prades Garcia is a Full Professor (W3) at the Institute of Semiconductor Technology, Faculty of Electrical Engineering, Information Technology, Physics, Technische Universität Braunschweig, Germany. He previously held a Full Professorship (2019–2024) and an Associate Professorship (2014–2019) at Universitat de Barcelona, Spain, and founded two start-ups, including ColorSensing SL (since 2018). His research bridges semiconductor technology and quantum metrology, focusing on ubiquitous sensor systems using nanowires and quantum effects for environmental monitoring. Education: PhD in Electronic Engineering (2009, Universitat de Barcelona); Master in University Teaching (2011); Master in Nanoscience and Nanotechnology (2007) His research exploits quantum-scale changes in nanoscale materials under environmental stimuli to develop scalable, transportable sensors. Key projects include ultra-low-power gas sensors, self-heated nanowires, and GaN micro-LED integration for distributed sensing networks. His work has been recognized with prestigious awards, including the Alexander von Humboldt Professorship (2024), ERC Starting Grant ('BetterSense', 2014), ERC Proof-of-Concept grants ('GasApp', 2016; 'Stick-n-Sense', 2020), ICREA Academia Award (2018), and Eurosensors Fellow (2017). He has coordinated over 47 projects and acquired €11.1 million in funding, including €4.8 million internationally. He leads a team at TU Braunschweig, collaborating on semiconductor quantum systems and nanoscale metrology to address air pollution, a critical global health challenge. His scientific record includes over 115 refereed journal articles, 9 patents (2 licensed), and an h-index of 42.

Janet Dongمشاهده پروفایل

استاد

• Robotics
• Autonomous Vehicles
• Advanced Manufacturing
• +۴ مورد دیگر

Janet Dong is a Professor in Mechanical and Materials Engineering at the University of Cincinnati and Director of the UC Center for Robotics Research. Her work spans robotics, autonomous systems, and advanced manufacturing with applications in healthcare, space exploration, and urban infrastructure. She holds a PhD in Mechanical Engineering from Columbia University. Her research integrates: Autonomous vehicles and mobile robots Dynamic systems control Medical device innovation Industry 4.0/5.0 technologies Robotic exoskeletons and augmentation Her recent publications focus on practical robotics applications including lunar rovers, tick collection robots, medical exoskeletons, and urban maintenance systems. Research trends emphasize autonomous navigation, human-robot collaboration, space exploration technologies, and biomechanical augmentation. She leads multiple funded projects including a $1.29M Department of Energy grant for waste sorting automation and Ohio Bureau of Workers Compensation grants for human-robot safety. Her lab develops robotic solutions for lunar infrastructure, medical devices, and industrial automation.

Berker Bilginمشاهده پروفایل

استادیار

• Electric Machines
• Power Electronics
• Energy Conversion Systems
• +۴ مورد دیگر

Dr. Berker Bilgin is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on next-generation electric motor drive technologies, including acoustic noise reduction, power electronics, and sustainable electrification. He leads projects sponsored by Fiat Chrysler Automobiles (FCA) and Automotive Partnership Canada (APC), and co-founded a university spin-off company. He teaches courses such as Electric Motor Drives and Switched Reluctance Machine Design. Research Focus: Electric motor drives (46% of global electricity demand), hybrid-electric powertrains, and transportation electrification. His work emphasizes high-efficiency, low-cost solutions and acoustic noise modeling for high-power-density applications like traction motors. He has 10 patents and authored a textbook on Switched Reluctance Motor Drives. Publications Trends: Recent work spans advanced motor designs, acoustic noise mitigation, and thermal/structural modeling of electric machines. Key themes include switched reluctance motor optimization, PWM control strategies, and multi-physics design approaches. Awards: Patented inventions in switched reluctance technology, textbook authorship Grants: FCA/APC-funded hybrid-electric powertrain development Labs/Teams: McMaster University spin-off company for technology commercialization

Jovica Milanovicمشاهده پروفایل

استاد

• Power System Dynamics
• Power Quality
• Probabilistic Modeling
• +۴ مورد دیگر

Jovica Milanovic is a Professor in the School of Electrical and Electronic Engineering at the University of Manchester, where he leads the Electrical Energy and Power Systems research group. He holds a Dipl.Ing. and MSc in Electrical Engineering from the University of Belgrade, a PhD from the University of Newcastle, and a DSc from the University of Manchester. With over 600 publications, his research focuses on probabilistic modeling of power systems, renewable integration, and power quality. Research Expertise: Probabilistic assessment of uncertain power systems Machine learning applications for grid stability Demand side management in low-carbon networks Global power quality monitoring frameworks Awards & Leadership: FIEEE, FIET, and IEEE PES Distinguished Lecturer Editor-in-Chief of IEEE Transactions on Power Systems Chair of multiple international conferences including PowerTech 2017 Recipient of the Verriest Medal for contributions to power systems

Arthur F Witulskiمشاهده پروفایل

استاد پژوهشی

• Radiation Effects on Electronic Devices
• Power Semiconductor Reliability
• Space System Radiation Hardening
• +۳ مورد دیگر

Arthur F Witulski is a Research Professor of Electrical Engineering at Vanderbilt University's School of Engineering. He specializes in radiation effects on electronic power semiconductor devices and systems, focusing on radiation reliability in aerospace and nuclear environments. His research addresses challenges in satellites, robotics, and high-reliability power electronics. Education: PhD, MS, and BS in Electrical Engineering from the University of Colorado. Research Interests include radiation hardening of power electronics, semiconductor reliability under ionizing environments, and system-level modeling of radiation effects. His work spans energy systems, nano-materials, and risk mitigation strategies for complex engineering projects. Key contributions include developing models for SiC power device failures, Bayesian assurance frameworks for space systems, and methodologies linking component-level testing to system reliability. His recent articles emphasize single-event effects in advanced semiconductors and radiation tolerance in commercial-off-the-shelf (COTS) components. Witulski has pioneered radiation assurance tools for small satellites and robotic systems, emphasizing probabilistic modeling and fault-tolerant designs. His work integrates theoretical physics with practical engineering solutions for harsh radiation environments.

Javad Fattahiمشاهده پروفایل

استادیار

• Energy Equity and Inclusion
• Distributed Energy Resources (DER)
• Software-Defined Nanogrids
• +۶ مورد دیگر

Dr. Javad Fattahi is an Assistant Professor at the School of Electrical Engineering and Computer Science, University of Ottawa. He holds roles as an IEEE Senior Member, Professional Engineer (P.Eng.), and member of the Standards Council of Canada. He leads the IEEE 2030.5 smart-grid interoperability verification initiative as its VP and chief editor. Dr. Fattahi earned his BSc in Electrical Engineering from Iran University of Science and Technology (IUT), followed by graduate studies at Sharif University of Technology (SUT). He completed his PhD and postdoctoral research at the University of Ottawa, specializing in energy systems and optimization. His research focuses on energy equity, distributed energy resources (DERs), software-defined nanogrids, game theory, smart mobility, and nonlinear systems. His recent work emphasizes data-driven digital twins for grid stability, V2G integration in residential complexes, and federated Byzantine agreement models for EV infrastructure. Key contributions include transactive energy systems under IEEE standards and energy disaggregation in institutional buildings. Dr. Fattahi has received accolades including IEEE Senior Membership and P.Eng. certification. His lab develops solutions for grid-edge technologies, smart mobility, and resilient energy systems. Graduate opportunities are available via his UniWeb page.

• Distributed/Parallel Computing
• Information Visualization
• Fault-Tolerant Communication Mechanisms
• +۴ مورد دیگر

Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.

Marwa Chafiiمشاهده پروفایل

دانشیار

• Wireless Communications
• Integrated Sensing and Communication
• Machine Learning for Wireless Communications
• +۳ مورد دیگر

Marwa Chafii is an Associate Professor of Electrical Engineering at New York University (NYU) Abu Dhabi and an associated faculty member at the NYU Tandon School of Engineering. She joined NYU Abu Dhabi in 2021 after holding roles as a research group leader at TU Dresden (Germany) and an associate professor at ENSEA (France) with a Chair of Excellence in AI. Her research focuses on advanced waveform design, integrated sensing and communication (ISAC), machine learning for wireless communications, and localization . Education: PhD and Master’s in Electrical Engineering from CentraleSupélec, France. Visiting researcher stints at institutions including Poznan University of Technology, University of York, and University of Oxford. Awards & Recognition: IEEE ComSoc Best Young Researcher Award (EMEA region) Best Editor Award for IEEE Communications Letters (2020) Nominated Top 10 Rising Stars in Computer Networking & Communications (2020) French National Council of Universities (CNU 61) AI Excellence Chair (2018–2022) Best PhD in France (Signal, Image & Vision) Professional Roles: Vice-chair of IEEE ComSoc ETI on Machine Learning for Communications Education Lead for IEEE ComSoc ETI on Integrated Sensing & Communications Associate Editor for IEEE Transactions on Communications and IEEE Communications Letters Research Contributions: Over 50+ publications in top-tier journals/conferences (IEEE Transactions, Globecom, ICC) Active in ISAC, 6G waveform design, and AI-driven communication systems Leading the NYU Wireless Research Lab focused on ISAC and future wireless systems

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

Agathoklis Giaralisمشاهده پروفایل

مدرس ارشد

• Structural Dynamics
• Earthquake Engineering
• Structural Health Monitoring
• +۱۱ مورد دیگر

Dr. Agathoklis Giaralis is a Senior Lecturer in Structural Engineering within the Department of Civil Engineering at the School of Engineering and Mathematical Sciences, City, University of London. He earned his PhD in Civil & Environmental Engineering from Rice University, USA, in 2008, following an MSc and a 5-year Diploma (Ptychion) in Structural Engineering from Aristotle University of Thessaloniki, Greece. He is a Fellow of the Higher Education Academy, UK. PhD, Civil & Environmental Engineering, Rice University, USA (2008) MSc, Seismic Design of Structures, Aristotle University of Thessaloniki, Greece (2004) Ptychion (5 yr Diploma), Civil/Structural Engineering, Aristotle University of Thessaloniki, Greece (2003) Dr. Giaralis's research is centered on nonlinear stochastic dynamics and time-frequency signal analysis , applied to critical areas such as earthquake engineering , seismic structural design and assessment , structural health monitoring (SHM) , and passive vibration control . His work is pioneering in the development and application of inerter-based vibration control systems, such as the Tuned Mass-Damper-Inerter (TMDI), for enhancing the resilience of structures. He also explores compressive sensing and low-power wireless sensors for sustainable SHM, as well as digital twinning and machine learning in wind engineering. His recent research has significant implications for offshore wind turbines and urban wind comfort. An analysis of his 15 most recent publications reveals a consistent and cutting-edge research trajectory focused on the optimization and application of inerter-based devices for structural control. The work spans from developing analytical tuning formulas for TMDIs to conducting experimental validation on shaking tables and exploring novel applications in offshore wind turbines and composite floors. A strong emphasis is placed on performance-based design , uncertainty quantification , and practical implementation for real-world infrastructure. His scientific contributions have been recognized by prestigious awards, including the Fulbright Exchange Student Program scholarship for his PhD studies and a Fellowship from the Higher Education Academy . He is also a member of several leading professional organizations such as the American Society of Civil Engineers (ASCE) and the Society for Earthquake and Civil Engineering Dynamics (SECED). Dr. Giaralis is actively involved in research funding and academic mentorship. He has secured significant grants from Innovate UK and the EPSRC to support his work on machine learning-based design and optimal inerter configurations. He supervises a cohort of PhD students whose theses focus on advanced topics like adaptive control of bridge joints, inerter-based energy harvesting, and seismic assessment using digital twins. He also leads the Smart Structures and Structural Health Monitoring Research Unit , driving collaborative research in smart infrastructure technologies.

• Performance evaluation of networks
• Wireless networks
• Internet of Things (IoT)
• +۱۲ مورد دیگر

Katia Jaffres-Runser is a full Professor at Institut National Polytechnique de Toulouse (Toulouse INP) , affiliated with the ENSEEIHT engineering school and the IRIT laboratory , where she leads the RMESS team. She holds a PhD from INSA Lyon and completed a prestigious Marie Curie postdoctoral fellowship at Stevens Institute of Technology and INSA Lyon. PhD : Institut des Sciences Appliquées de Lyon (INSA Lyon), 2005 M.Sc. : INSA Lyon, 2002 Diplôme d’Ingénieur en Télécommunications : INSA Lyon, 2002 Her research centers on performance evaluation and optimization of networks , particularly in wireless sensor networks, IoT, embedded systems, and complex networks. She applies advanced techniques like Google Matrix analysis, game theory, and deep reinforcement learning to improve network reliability, synchronization, and efficiency. Her work spans theoretical modeling and practical implementations in avionics, automotive, and industrial systems. Her recent publications highlight a strong trend in time-sensitive networking (TSN) , network synchronization , AI-driven optimization , and complex network analysis using Wikipedia and trade data. She has led major projects like MACACO, GOIA, and the Maison du Quantique Occitanie, focusing on real-time, reliable, and intelligent networking solutions. Scientific Awards: Best Paper Award on Propagation, IEE International Conference on Antennas and Propagation, 2003 STIC Innovation Prize, 2005 Marie Curie Outgoing International Fellowship, 2007–2010 Prime d'Excellence Scientifique (2013–2016) PEDR (2017–2021) RIPEC C3 (2022–2025) She has advised PhD students and contributed to national and international scientific service, including committee memberships in CoNRS , HCERES , and ACM N²Women . She has served on award juries and grant review panels. Her leadership extends to being Vice-President for Education at Toulouse INP (2021–2024) and Team Leader of RMESS at IRIT (since 2024) . She is actively involved in research labs and collaborative teams such as: RMESS Team , IRIT Laboratory – leading research on network modeling and embedded systems MACACO Project – international collaboration on adaptive communication networks GOIA and APPLIGOOGLE Projects – applying Google Matrix to AI and complex networks IRT EDEN – evaluating determinism in embedded networking

Anna Cronin De Chavezمشاهده پروفایل

پژوهشگر ارشد

• Global Mental Health
• Climate Change Adaptation
• Public Health Policy
• +۴ مورد دیگر

Dr. Anna Cronin De Chavez is a Research Fellow in Global Mental Health at the London School of Hygiene & Tropical Medicine (LSHTM) and holds a part-time position at the University of Exeter. She leads the SUCCEED Africa project’s communications workstream, focusing on community-based mental health rehabilitation in Zimbabwe, Malawi, Sierra Leone, and Nigeria. Her research spans global mental health, climate change adaptation, and maternal-child health, with a focus on equity and policy implementation in low- and middle-income countries (LMICs). She also supports the Mental Health Innovation Network and serves on Save the Children’s Research Ethics Committee. Education: PhD in Medical Anthropology (Durham University), MSc Health Education (Edinburgh University), MA Social Anthropology (Edinburgh University). Research Interests: Ethnographic methods, health systems responsiveness, green spaces for child development, and climate resilience strategies. Her work integrates mixed methods, including participatory approaches like photovoice and co-design. Publications highlight maternal mental health screening in sub-Saharan Africa, medicines pricing policies in Ghana, and barriers to health system integration in Vietnam. Her part-time role at Exeter explores community-led climate change adaptations. Affiliations: LSHTM’s Department of Population Health, University of Exeter, and advisory roles in Save the Children’s global research ethics.

Peter Druschelمشاهده پروفایل

استاد

• Distributed Systems
• Operating Systems
• Peer-to-Peer Systems
• +۷ مورد دیگر

Peter Druschel is the founding director of the Max Planck Institute for Software Systems (MPI-SWS) and leads the Distributed Systems Group. He holds adjunct professorships at Saarland University and the University of Maryland, reflecting his strong academic affiliations in computer science. He has previously served as a Professor of Computer Science at Rice University and has held visiting positions at MIT, Microsoft Research Cambridge, and LIP6. Education: Ph.D. in Computer Science, University of Arizona, 1994 His research centers on building secure, compliant, and privacy-preserving distributed and mobile systems. Key interests include accountable systems, peer-to-peer networks, operating systems, and network security. He has led foundational work in systems like Pastry, Scribe, and Glacier, and currently focuses on privacy compliance in data processing through projects like Thoth and iPic. His work is supported by major grants from the ERC, Max Planck Society, DFG, BMBF, and Google. The recent publications highlight a consistent trend in secure and privacy-aware systems, with a focus on policy enforcement, isolation mechanisms, anonymity, and mobile security. These works span top venues such as USENIX Security, OSDI, MobiSys, and SIGCOMM, reflecting sustained impact in systems and security communities. Scientific Awards: NSF CAREER Award (1995) Alfred P. Sloan Fellowship (2000) SIGOPS Mark Weiser Award (2008) Microsoft Research Outstanding Collaborator Award (2016) EuroSys Lifetime Achievement Award (2017) Druschel has advised numerous PhD and master’s students and postdoctoral researchers at MPI-SWS. He has co-directed major collaborative programs including the Cornell-Maryland-Max Planck Pre-doctoral School and the Maryland Max Planck Ph.D. Program. His leadership extends to professional service, having chaired SOSP, OSDI, NSDI, and EuroSys, and served on editorial boards of CACM, TOCS, and Royal Society Open Science. He is a member of Academia Europaea and the German Academy of Sciences Leopoldina. Labs and Teams: Distributed Systems Group, MPI-SWS imPACT ERC Synergy Project Collaborators include Bobby Bhattacharjee, Deepak Garg, Miguel Castro, Ion Stoica, and others