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JP Vasseur, PhD
Cisco Fellow (VP), ML/AI/Generative AI (LLM), Top#81 inventor Utility patents (all time) +680 patents - +25K followers
Professional Background
JP Vasseur, PhD, is a distinguished core technology innovator and product leader within the technology industry. Renowned for his instrumental role in transforming abstract ideas into tangible products, JP has pioneered the journey from whiteboard concepts to market-ready innovations, showcasing a natural talent for championing groundbreaking concepts that reshape industries. His collaborative initiatives with CIOs, CEOs, CTOs, and CxOs have been pivotal in releasing products that significantly propel the technology landscape forward.
With an unwavering passion for developing and leading global teams of exceptionally talented engineers—many of whom hold PhDs—JP thrives on guiding elite groups to design superior solutions that launch first-in-class products and redefine market standards. His mentorship fosters a culture of creativity and excellence, allowing his teams to perform at their highest potential, ultimately delivering state-of-the-art technological solutions to the global market.
Education and Achievements
JP Vasseur's educational foundation is as impressive as his career. He earned his PhD in Computer Systems Networking and Telecommunications from Télécom Paris, where he delved into advanced concepts that empowered his future initiatives. Continuing his education, he obtained a Master of Science in Computer Systems Networking and Telecommunications from Stevens Institute of Technology, complementing his knowledge with academic rigor. Further rounding out his technical qualifications, JP completed his MSc in Computer Science at EPITA: Ecole d'Ingénieurs en Informatique, which fortified his expertise in fundamental computing systems.
Over the course of his illustrious career, JP has accumulated numerous accolades and milestones. Recognized as a #1 Cisco Inventor, he holds an impressive portfolio of 680 patents and has contributed to the establishment of 35 industry standards. His prowess in delivering core technologies, including MPLS, PCE, Security, Machine Learning, and Wireless Products, has earned him the distinguished title of Cisco Fellow, a recognition he achieved in 2010. Furthermore, his innovative contributions have led to receiving the prestigious Cisco Pioneer Award, a testament to his remarkable influence in the field. JP is not only a respected figure in technology but also an esteemed international conference speaker and author, having penned three published books on internet technologies.
Notable Contributions and Innovations
JP's extensive experience at Cisco has resulted in the development of several widely recognized and transformative products. Among his notable technical accomplishments are the technology foundations for:
- Cisco’s Internet of Things (IoT): Spearheading innovative approaches to connect and manage devices, ensuring seamless integration into the modern digital landscape.
- Cisco’s Stealthwatch product: A pioneering distributed machine learning security solution that enhances network security measures through advanced analytics.
- Cisco’s Smart Grid Routers (CGR): Facilitating intelligent communication in energy distribution networks.
- IPv6 for Smart Meters: Supporting the shift towards next-generation networking capabilities in critical infrastructure.
Moreover, JP is celebrated as a co-inventor of numerous internet technologies that have become essential to modern networking systems. His innovations cover a wide array of technical components, including MPLS fast reroute (FRR), Traffic Engineering (TE), Path Computation Element (PCE), various signaling protocols like PCEP, Routing, Quality of Service (QoS), Optical Networks, GMPLS, Path Computation Element architecture, and numerous others.
JP's broad arsenal of technical skills extends beyond conventional boundaries, involving analytics, machine learning, artificial intelligence (AI), wireless technologies, and security solutions. By merging these interdisciplinary areas, he has consistently delivered next-gen products that embody the future of technology.
Involvement in Organizations and Leadership Roles
JP has demonstrated a commitment to furthering collaboration and innovation throughout his career. His professional journey includes:
- Technical Advisor (Non-Executive Role) at Numenta, where he provided strategic insights into the advancement of technology.
- Serving as Cisco Fellow and Vice President of Engineering for Machine Learning/AI for Networking, focusing on generative AI initiatives.
- Leadership roles at Cisco that encompass predictive networks, predictive internet/networks, and advanced threat management in security through machine learning.
- Co-founding and chairing the Technology Advisory Board of the IPSO (IP For Smart Object) Alliance, fostering advancements in smart object technology.
- Co-chairing various IETF working groups, including the ROLL Working Group and PCE Working Group, which focus on essential protocol and infr
Highlights
For years, the concept of “failure” has been associated with a clear and easily observable phenomenon where a resource (e.g., link, router, server) ceases to function entirely. These instances are sometimes referred to as “Dark” failures and can last for varying durations. We have expanded this definition to include the concept of “Grey” failures, where a specific resource undergoes performance degradation that affects the user experience. In this paper, we further extend the notion of grey failures to introduce the concept of Micro-failures (also termed MIF). MIF are characterized by specific motifs observed concerning path characteristics, such as delay, loss, and jitter, which may impact the user's Quality of Experience (QoE), while being difficult to observe with low frequency probing. As defined, MIFs often go unnoticed since they don't typically affect the control plane (no rerouting action) despite their potential impact on QoE. Micro-failures are not only more common than dark failures but can also be equally detrimental to the user experience. Furthermore, they pose a significant challenge in detection and remediation. In this paper, for the first time, we delve into several intricate, multi-dimensional patterns of micro-failures through an exhaustive analysis based on fast-frequency probing realized at scale in the Internet.
The study has identified patterns, both unidimensional and multidimensional, that can be detected using fast probing or by employing ML algorithms trained to compute the probabilities of such patterns' occurrence in network paths, drawing from multiple path characteristics. It might then be possible to train classifiers that can be used on-premise to detect MIFs and subsequently trigger potential control and forwarding plane remediations to continually enhance QoE.
You can find the White Paper on my Personal Web Site: www.jpvasseur.me
Cisco Live in Amsterdam is around the corner ! https://lnkd.in/eriksnnq #ciscolive #predictivenetworks If you want to learn more about Cisco Predictive Networks, a technology we have been working on since 2019, feel free to attend my session (there are a very few seats available) - products are there !
