جست‌وجوی استاد و پژوهشگر

• Blockchain
• Internet of Things (IoT)
• Edge computing
• +۹ مورد دیگر

Abdelhakim HAFID is a Full Professor at the University of Montreal , affiliated with the Faculty of Arts and Science and the Department of Computer Science and Operations Research . He leads the LRC — Laboratoire de recherche en réseaux de communication and is a member of several research centers including CIRRELT (interuniversity research center on enterprise networks, logistics, and transportation), the Cyberjustice Lab , and talents (AI for cybersecurity lab). His research focuses on Blockchain security , IoT , edge and fog computing , intelligent transport systems , and network resource management . He has supervised over 30 graduate students and led/co-led numerous research projects funded by agencies like NSERC , FRQNT , and MITACS . Notable projects include Blockchain Evolution: Quantum-Resistant Security (2025–2031) and Design and Management of Fog Networks (2019–2026). His work spans vehicular networks , mobile cloud computing , and machine learning for network optimization . He actively contributes to cybersecurity initiatives, including IoT authentication frameworks and AI-driven solutions for judicial systems (e.g., Cyberjustice ). Key Projects : Quantum-Resistant Blockchain Security (2025–2031) IoT Authentication via Blockchain and Intelligent SIM (2022–2026) Fog Network Design (2019–2026) Grants : NSERC Discovery Grants MITACS Acceleration Fellowships FRQNT Team Research Grants His lab collaborations include CIRRELT (logistics & transport) and Cyberjustice (digital law), reflecting interdisciplinary strengths in both technical and societal domains.

Ashwin Aravindakshan Nairمشاهده پروفایل

دانشیار

• Marketing Analytics
• Advertising Allocation
• Customer Behavior Dynamics
• +۳ مورد دیگر

Dr. Ashwin Aravindakshan Nair is an Associate Professor at the UC Davis Graduate School of Management, where he serves as Director of the Master of Science in Business Analytics program. His research examines how brands can optimize advertising resource allocation across regions and media channels, while investigating customer behavior dynamics to improve marketing strategies. Nair teaches courses in Customer Relationship Management, New Product Development, and Business Analytics. Nair's research encompasses advertising allocation models, direct-to-consumer marketing, mobile commerce platforms, and digital marketing analytics. Recent work explores chatbot language translation effects on mobile commerce, quantum-inspired machine learning for disease screening, and data-driven evaluation of pandemic interventions. His publications appear in leading journals including Marketing Science, Operations Research, and Journal of Marketing Research. Analyses of his publications reveal strong emphases on marketing analytics applied to healthcare, public policy, and technology sectors. The research employs advanced methodologies including randomized field experiments, machine learning techniques, and time-series analysis to address real-world marketing challenges. Recent work demonstrates increasing focus on AI applications in marketing and healthcare analytics.

Michael Zurelمشاهده پروفایل

پژوهشگر ارشد

• Quantum Information
• Quantum Computation
• Quantum Contextuality
• +۷ مورد دیگر

Michael Zurel is a NSERC Postdoctoral Fellow in the Department of Mathematics at Simon Fraser University, working under Dr. Nadish de Silva, Canada Research Chair in the Mathematics of Quantum Computation. His research focuses on foundational aspects of quantum computation, quantum information, and nonclassical physics. Key interests include quantum contextuality, negativity in quasiprobability representations, and classical simulation algorithms for quantum systems. He holds a PhD, MSc, and BSc in Physics and Mathematics from the University of British Columbia (2024, 2020, 2019), all supervised by Dr. Robert Raussendorf. His doctoral work explored classical descriptions of quantum computations via hidden variable models and quasiprobability representations. His master’s thesis addressed hidden variable models and classical simulation algorithms for quantum computation with magic states on qubits. Research interests emphasize bridging quantum foundations with computational efficiency, particularly how nonclassical features like contextuality enable quantum advantage. Collaborators include prominent figures such as Robert Raussendorf, Juani Bermejo-Vega, and Cihan Okay. His scientific achievements include the NSERC Postdoctoral Fellowship. Advising and grants are not explicitly detailed, but his work is supported by foundational research grants. He collaborates actively within quantum information theory and computational physics communities.

Anthony Rizzoمشاهده پروفایل

استادیار

• Integrated photonics
• Quantum photonics
• Neuromorphic photonics
• +۴ مورد دیگر

Anthony Rizzo is an Assistant Professor of Engineering at Dartmouth College, leading the Rizzo Integrated Photonic Systems Laboratory. His research focuses on integrated photonics, quantum photonics, and neuromorphic photonics, with applications in high-speed data communication, quantum computing, and energy-efficient systems. He holds a PhD in Electrical Engineering from Columbia University (2022), an MS from Columbia (2019), and a BS in Physics from Haverford College (2017). His work has been funded by organizations such as the Toyota Research Institute and the U.S. Army Research Laboratory. Key research areas include silicon photonics for ultra-low energy optical interconnects, photonic-electronic integration, and novel photonic materials like aluminum nitride. Notable achievements include the first demonstration of a Kerr comb-driven silicon photonic link and advancements in 3D photonic integration for terabit-scale data links. His lab explores applications in quantum sensing, neuromorphic computing, and visible wavelength photonics for atomic systems. Funding Sources: Toyota Research Institute, U.S. Army Research Laboratory, Thayer School of Engineering, AIM Photonics Courses Taught: ENGS 23 (Distributed Systems and Fields), ENGS 60 (Solid-State Electronic Devices) Recent publications highlight breakthroughs in ultra-low loss waveguides, scalable photonic linear neurons, and energy-efficient modulators. His work bridges fundamental photonics research with practical applications in next-generation communication and computing systems.

Ertugrul Basarمشاهده پروفایل

استاد

• Wireless Systems
• 6G and Beyond Wireless Networks
• Multi-Antenna Systems
• +۸ مورد دیگر

Prof. Ertugrul Basar holds the position of Professor of Wireless Systems at the Department of Electrical Engineering, Tampere University, Finland. He is also a member of the Tampere Wireless Research Centre and previously served as founding director of the Communications Research and Innovation Laboratory (CoreLab) at Koç University (2018–2025). His academic career includes faculty roles at Koç University (2018–2025) and Istanbul Technical University (2009–2018), alongside visiting positions at Princeton University and Ruhr University Bochum. He earned his B.S. (High Honors) from Istanbul University, and M.Sc. and Ph.D. from Istanbul Technical University. His research focuses on 6G and beyond wireless systems, reconfigurable intelligent surfaces (RIS), index modulation, physical layer security, and deep learning for communications. He has authored over 190 journal papers, holds 17 patents, and been recognized with prestigious awards including IEEE Fellow (2023), TÜBA Outstanding Young Scientist Award (2017), and multiple best paper awards. He has supervised 9 Ph.D. and 20 M.Sc. students, and served on editorial boards of IEEE Transactions on Communications and other journals. Prof. Basar’s work has been impactful, with over 18,000 citations and an h-index of 55. His contributions span theoretical advancements and practical implementations, including pioneering RIS technologies and waveform designs. He is a Fellow of AAIA and AIIA, and an IEEE Communications Society Distinguished Lecturer (2024–2025).

• Optimization methods
• Metaheuristics
• Heuristics
• +۱۲ مورد دیگر

Mina Mirhosseini is a Research Fellow at the Faculty of Logistics, Molde University College, Norway. She holds a PhD in Computer Science from Shahid Beheshti University of Tehran, Iran, and has prior academic experience as a faculty member and lecturer in Iran and as a remote teaching assistant at the University of Hertfordshire, UK. Her primary research interests include Optimization Methods, Metaheuristics, Heuristics, Linear Integer Programming, Parallel Processing, Machine Learning, Artificial Intelligence, and Logistics. She has made significant contributions to solving complex computational problems such as the n-similarity problem and Mixed Integer Linear Programming (MILP) models using hybrid and parallel algorithms, particularly in the context of high-level synthesis and wireless sensor networks. The analysis of her recent publications reveals a strong focus on developing and applying advanced optimization techniques, especially quantum-inspired gravitational search algorithms and parallel genetic algorithms, to real-world engineering and computational challenges. Her work consistently emphasizes performance improvement, scalability, and load balancing in distributed and heterogeneous computing environments. Mina Mirhosseini has an extensive publication record in high-impact journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Supercomputing, and Computers and Electrical Engineering. Her research has been published across a range of venues, reflecting interdisciplinary work at the intersection of computer science, electrical engineering, and applied optimization. She has actively contributed to the academic community through roles such as program committee member and executive committee member for conferences on fuzzy systems, swarm intelligence, and evolutionary computation. Her academic journey includes teaching and research roles in Iran, demonstrating a sustained commitment to higher education and scientific inquiry. Mina Mirhosseini is part of the research group focused on Planning, Optimization and Decision Support at Molde University College. Her current work continues to advance the state-of-the-art in parallel and metaheuristic optimization methods, with applications in logistics, synthesis, and sensor network design.

• Wireless Sensor Networks
• Low-Power Communication
• Backscatter
• +۶ مورد دیگر

Ambuj Varshney is a researcher specializing in low-power wireless communication, visible light networking, and embedded systems. His work explores tunnel diodes for non-contact sensing, backscatter technologies, and edge-based language models. Key contributions include AudioCast for audio-broadcast connectivity, TunnelSense for tunnel diode sensing, and PiXelGen for mixed-reality cameras. Core Research Areas: Wireless Sensor Networks, Backscatter, Tunnel Diodes, IoT, Embedded Systems Recent Trends: Integration of large language models (LLMs) in edge devices, visible light communication, low-power AR networking

Rishabh Dabralمشاهده پروفایل

پژوهشگر

• 3D Computer Vision
• Computer Graphics
• Multi-Modal Interactions
• +۶ مورد دیگر

Rishabh Dabral is a Research Group Leader at the Max Planck Institute for Informatics since August 2024, leading the "3D Visual Intelligence" group. He is also affiliated with the Research Training Group on Neuro-Explicit Models of Language, Vision, and Action at Saarland University. Expertise: 3D computer vision, computer graphics, human-object interaction modeling, and motion synthesis. Leadership: Conducts cutting-edge research on 3D human performance capture and physical plausibility in motion. His research focuses on: 3D human pose estimation under gravity constraints Multi-modal gesture synthesis using neural architectures Quantum auto-encoding for 3D representations Wearable robotics informed by human behavior Temporal dynamics in human-object interaction Recent publications at top venues like SIGGRAPH , CVPR , and ICCV demonstrate his work on: Music-driven motion synthesis Egocentric motion capture systems Reactive two-person interaction models Diffusion-based gesture generation Object-aware motion prediction Wearable robotic limb design

Michael Friedlanderمشاهده پروفایل

استاد

• Convex Optimization
• Machine Learning
• First-Order Methods
• +۳ مورد دیگر

Michael Friedlander is a Professor of Computational Mathematics at the University of British Columbia (UBC), holding joint appointments in the Departments of Computer Science and Mathematics. He serves as Director of the UBC Institute of Applied Mathematics and is a Sauder School Distinguished Scholar. His research focuses on optimization theory, algorithms, and applications, particularly in convex optimization, first-order methods, and machine learning. Friedlander is a SIAM Fellow (2024) and has received multiple teaching awards, including the 2013 UBC CS Teaching Award. Education: PhD (2002) in Operations Research from Stanford University; BA (1993) in Physics from Cornell University. Research Interests: Friedlander’s work spans computational optimization, including first-order methods, gauge duality, federated learning, and applications in signal processing and quantum computing. His contributions include SPGL1, a widely used convex optimization solver, and foundational work on atomic decomposition and polar alignment in structured optimization. Key Contributions: His research bridges optimization with practical applications, such as compressed sensing and data science. Notable areas include dual methods for federated learning, low-rank spectral optimization, and algorithms for sparse recovery. He has advised numerous PhD students, including work on topics like gauge duality and federated learning contribution valuation. Awards & Honors: SIAM Fellow (2024) 2013 UBC CS Department Teaching Award CACS Outstanding Young Researcher Prize AI & Statistics 2009 Best Paper Award Advising & Grants: Supervised over 20 graduate students and postdocs. Active in grant-funded research, including projects on optimization algorithms and their industrial applications. Collaborates with institutions like Pacific Institute for Mathematical Sciences (PIMS) and the Data Science Institute at UBC. Labs & Affiliations: Affiliated with the Institute for Computing, Information and Cognitive Systems (ICICS), Data Science Institute, and Quantum Computing Research Cluster at UBC. Leads interdisciplinary efforts in applied mathematics and computational science.

Ethan Katz-Bassettمشاهده پروفایل

دانشیار

• Networking
• Distributed Systems
• Internet Measurement
• +۷ مورد دیگر

Ethan Katz-Bassett is an Associate Professor in the Electrical Engineering Department at Columbia University, with an affiliation in the Computer Science Department. He is also a member of the Computer Engineering Program and the Data Science Institute's Sense, Collect and Move Data Center. Previously, he held the Andrew and Erna Viterbi Early Career Chair at the University of Southern California, where he led a networking and systems research group. His research focuses on improving the reliability and performance of Internet services through measurement-driven system design, with a focus on networks, distributed systems, and cloud infrastructure. Affiliations: Columbia University (Current), University of Southern California (Former) Key Projects: Edge Fabric (Facebook), Sibyl (Route Oracle), PoiRoot (Route Change Analysis), Odin (Microsoft CDN) His research interests include Internet measurement, routing optimization, content delivery networks (CDNs), TCP performance, and mobile web performance. He has pioneered tools like PEERING, a BGP testbed for scalable experiments, and developed systems such as LIFEGUARD for network failure detection. His work often bridges academia and industry, with collaborations at Google, Microsoft, and Facebook. Ethan has received numerous awards, including the SIGCOMM Rising Star Award (2019), IETF Applied Networking Research Prize (2019), and NSF CAREER Award (2014). His funding includes grants from Google, Facebook, Comcast, and the NSF. He holds a Ph.D. from the University of Washington, advised by Tom Anderson and Arvind Krishnamurthy. Grants and Labs: Works with the M-Lab, RIPE Atlas, and SpeedChecker platforms. Current funding includes Google Faculty Awards, an M-Lab grant, and NSF support.

Ashish Nandaمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Authentication Technologies
• Digital Identity
• +۵ مورد دیگر

Ashish Nanda is a Research Fellow at the Deakin Cyber Research and Innovation Centre (Deakin Cyber) at Deakin University, Australia, where he contributes expertise to pioneering cybersecurity research. Prior to his current role, he served as a Research Fellow at the Centre for Cyber Resilience and Trust (CREST), Centre for Cyber Security Research and Innovation (CSRI), and the Deakin Blockchain Innovation Lab (DBIL). He has also enriched the academic community as a Lecturer at the University of Technology Sydney. Dr. Nanda's educational background includes: PhD in Computer Science from the University of Technology Sydney Bachelor of Technology in Computer Science & Engineering from Amity University, India His research spans cybersecurity, authentication technologies, digital identity, and usable security. Nanda has contributed to national projects funded by the Cyber Security CRC, focusing on multi-factor authentication, privacy-preserving digital credential wallets, and ambient intelligence-based continuous authentication systems. His work bridges technical security measures with human factors, emphasizing that security solutions must be both robust and user-friendly to achieve widespread adoption. This human-centered approach to security has become increasingly prominent in his recent publications. Dr. Nanda's publication trajectory shows a clear evolution from foundational network security protocols toward increasingly human-centered security approaches. While his earlier research focused on technical aspects of secure routing for wireless mesh networks and IoT infrastructure, his recent work emphasizes usable security, authentication devices, and digital identity systems. This shift reflects the growing recognition in cybersecurity that technical solutions alone are insufficient without considering human factors and user experience. Dr. Nanda has received significant research funding through: Cyber Security Cooperative Research Centre (CRC) Australia's Economic Accelerator program He actively contributes to public discourse through articles in The Conversation and interviews with major media outlets including SBS News, The Guardian, and The Feed. His research collaborations extend across multiple institutions with emphasis on practical applications addressing real-world cybersecurity challenges. Nanda has also co-founded Adroit Explorer Innovation Chambers, a not-for-profit organization dedicated to fostering innovation and exploration in technology.

Gilles Peslherbeمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular and Reaction Dynamics
• Nanomaterials and Materials Engineering
• +۸ مورد دیگر

Gilles Peslherbe is a Professor at Concordia University, cross-appointed in the departments of Chemistry and Biochemistry , Physics , and Chemical and Materials Engineering . He leads the Centre for Research in Molecular Modeling (CERMM) and supervises graduate students in programs spanning Chemical Engineering, Chemistry, Physics, and Nanoscience. PhD in Physical Chemistry with Minor in Computer Engineering (Wayne State University, USA) Diplôme d'Ingénieur Chimiste (Ecole Supérieure de Chimie Industrielle de Lyon, France) His research integrates computational chemistry , quantum mechanics , and machine learning to model chemical processes in extreme conditions, drug delivery systems, and environmental impact assessments. Collaborative projects include studies on spin catalysis , nanostructured materials , and RNA structure fundamentals . Recent publications highlight applications of artificial intelligence in therapeutics development , density-functional theory in nanomaterials , and ultrasfast spectroscopy in electron solvation . His work bridges quantum computing and biological simulations . Teaching includes courses on quantum theory , computational chemistry , and statistical mechanics . He actively seeks students for ongoing projects in chemical interactions in extreme conditions and environmental remediation .

• Quantum Control Systems
• Quantum Information Processing
• Quantum Reservoir Computing
• +۵ مورد دیگر

Dr. Hendra Nurdin is a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), where he has been employed since 2012. His academic journey began with a Sarjana Teknik (equivalent to a Bachelor of Engineering) in Electrical Engineering from Institut Teknologi Bandung, Indonesia, followed by an MSc in Engineering Mathematics from the University of Twente in the Netherlands, and culminated with a PhD in Engineering and Information Science from the Australian National University in 2007. His educational background includes: PhD in Engineering and Information Science, Australian National University, 2007 MSc in Engineering Mathematics, University of Twente, The Netherlands Sarjana Teknik (ST, equivalent to Bachelor of Engineering) in Electrical Engineering, Institut Teknologi Bandung, Indonesia Dr. Nurdin's research lies at the intersection of control engineering and systems theory with quantum physics and energy systems. He has made significant contributions to quantum control systems, quantum information processing, and microgrid control. His work combines theoretical advances in quantum stochastic processes with practical applications in quantum computing and renewable energy systems. He has developed novel approaches to quantum reservoir computing, quantum parameter estimation, and control of distributed energy resources. His recent publications reveal a strong focus on quantum reservoir computing, non-Markovian quantum systems, and the intersection of quantum information with machine learning. There's a clear trend toward practical implementations of quantum information processing systems, particularly exploring how quantum systems can enhance computational capabilities. His work bridges fundamental quantum theory with engineering applications, demonstrating how quantum phenomena can be harnessed for practical computing and sensing tasks. Dr. Nurdin has received recognition including an ARC APD Fellowship (2009-2011). His research has resulted in numerous publications in top-tier journals including Nature Communications, Physical Review series, and IEEE Transactions. He has successfully supervised multiple PhD students to completion, including Dr. Jiayin Chen (2022), Dr. Jiacheng Li (2021), Dr. Muhammad Ali (2021), and Dr. Zhan Shi (2016). Currently, he is supervising Mr. Wen Liu as a PhD candidate. His research is supported by various funding mechanisms including Sydney Quantum Academy scholarships and UNSW research grants, enabling him to pursue cutting-edge research in quantum systems and control. Dr. Nurdin is actively involved with the Sydney Quantum Academy, supervising research in quantum systems and control. His work contributes to Australia's growing quantum technology ecosystem, collaborating with researchers across multiple institutions to advance quantum information processing and quantum engineering applications.

• Computer Architecture
• High-Performance Computing
• Multicore and Manycore Systems
• +۷ مورد دیگر

Miquel Moreto Planas is a Senior Lecturer in the Department of Computer Architecture at the Barcelona School of Informatics, Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing. His academic profile is deeply rooted in computer architecture and high-performance computing, with a strong emphasis on practical and theoretical advancements in multicore systems, memory management, and hardware acceleration. His research interests span a wide range of topics including computer architecture, high-performance computing, multicore and manycore systems, cache and memory management, hardware acceleration for genomics and AI, RISC-V processor design, processing-in-memory, interconnection networks, and real-time systems. These interests are reflected in his extensive publication record and collaborative projects. The most recent articles highlight a significant trend toward interdisciplinary research, particularly the application of advanced computer architecture techniques to bioinformatics and healthcare. Key themes include the acceleration of genomic sequence alignment using novel hardware such as processing-in-memory, the development of benchmarks for ARM-based HPC systems in genomics, and the creation of AI-based 3D decision support tools for neurosurgical applications. His work also continues to advance core computer architecture topics like cache management, power-aware resource allocation in heterogeneous systems, and the design of secure, post-quantum cryptographic hardware based on RISC-V. Fulbright Award 2011 HiPEAC Paper Award HiPEAC Paper Award 2024 HiPEAC Paper Award Moreto has been a principal investigator or key contributor to multiple competitive R&D+i projects, such as the STRATUM project for neurosurgical tools, REDIOH for open hardware, and the Laboratorio Zettaescala de Barcelona. He has advised several doctoral students, including López, G., Kostalampros, I., and Haghi, A., and is a core member of the CAP (High Performance Computing) research group at UPC. His work is characterized by strong collaborations with leading researchers like Mateo Valero, Eduard Ayguadé, and Jesús Labarta, often bridging the gap between UPC and BSC-CNS. His laboratory and team affiliations are centered around the CAP group and the Barcelona Supercomputing Center, where he contributes to cutting-edge research in high-performance and embedded computer architectures. His recent work on the BIMSA accelerator and the STRATUM project demonstrates a clear future direction toward applying high-performance computing solutions to critical problems in genomics and medicine.

Douglas D. Hodsonمشاهده پروفایل

استاد

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +۷ مورد دیگر

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.