Reserve your FREE spot at the 2023 oneAPI DevSummit for AI and HPC 2023 to explore cross-architecture programming, AI, HPC, and more. Learn from industry experts, discover oneAPI advancements, gain insights into performance analysis tools, and experience hands-on workshops with Intel Developer Cloud. Join speakers from prestigious organizations and get inspired by keynotes, tech talks, and tutorials. Elevate your developer journey with a focus on AI and HPC, including data preparation, training, inference, deployment, and scaling.
Don’t miss this opportunity to join renowned experts for deep dives into cross-architecture software development spanning:
Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.
Russ Beutler is an Engagement Manager for oneAPI in the Developer Ecosystem Programs Team in the Intel Architecture Graphics and Software group. Previously he was the marketing manager for Intel® persistent memory and modern code developer programs. He has over twenty-five years’ worldwide hardware and software marketing, consulting, and IT experience – twenty-one of which are at Intel.
Ben Odom is a Developer Evangelist focused on highlighting training and showcasing Intel products and tools to developers worldwide. Recently been has been working on Artificial Intelligence, developing coursework for Intel’s developer ecosystem and then delivering trainings for both industry and academic developers interested in using Intel’s optimized frameworks and libraries. Currently Ben is working to develop coursework for oneAPI AI and oneAPI SYCL. Ben has been in the tech industry for over 20 years, and has a Master’s Degree in Computer Science and Engineering from Oregon Health Sciences University.
Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.
Susan Kahler is a Product Marketing Manager for AI at Intel. She has her Ph.D. in Human Factors and Ergonomics, having used analytics to quantify and compare mental models of how humans learn complex operations. Throughout her well-rounded career, she has held roles in user centered design, product management, customer insights, consulting and operational risk. Susan recently completed her Master of Science in Analytics, focusing on healthcare analytics. She also holds a patent for a software navigation system to guide users through dynamically changing systems.
Dr. Priyanka Sharma specializes in AI-enabled system design, development, and deployment. She currently serves as Director – Software Engineering at Fujitsu Research of India (FRIPL), heading the MONAKA R&D Unit (HPC-AI Lab). Dr. Sharma also holds the position of Vice Chairman (Technical) in several IEEE societies.
Before joining FRIPL, she was Vice President Projects – AI at Samyak and AI Advisor to startups in the domains of AI, Deep Learning, and Drug Discovery. Dr. Sharma also served as an AI Advisor at a National Defense University in India and was a NVIDIA Deep Learning Ambassador. With over 50 research papers published, she has mentored Solution Architects and AI startup communities, guiding them in strategic planning and branding.
Dr. Sharma has a passion for travel and has collaborated globally in the field of R&D. She is an avid reader and enjoys writing about life lessons through machine learning.
Peter Darveau P. Eng., has more than 25 years of experience in AI, automation and robotics, and has worked with General Electric, General Motors, and NASA. He is a licensed consulting engineer, Intel AI Provider, oneAPI for ML instructor, and Six Sigma practitioner. He has published papers relating to automation, High-Performance Computing (HPC) and AI models, and has been cited internationally for work on machine learning models. Peter has spoken at events for GE and at a national level for Ontario Society of Professional Engineers (OSPE), Digital Research Alliance of Canada, and Society of Manufacturing Engineers (SME). He is actively involved with HPC in research and AI startups, and volunteers his time to coach and teach in his local engineering and francophone communities.
Deepthi A J is an Intel oneAPI Innovator and Intel Certified Instructor in Machine Learning using oneAPI. Currently pursuing a Ph.D., she is deeply passionate about crafting AI solutions and leveraging the benefits of oneAPI to drive innovation in the field.
Kazi is the Co-Founder of Dynopii. He has close to a decade of experience working in the field of AI and IoT based applications having started his journey from Infosys to creating and nurturing multiple tech startups. Recently he has been working on oneAPI toolkit in terms of enterprise application integration, doing evangelism and contributing to the oneAPI community by hosting more then 100+ workshops and training programs including multiple national level hackathons.
Rod has been helping developers build complex software for well over a decade. Working at Codeplay Software, Rod is involved in providing supporting and building educational materials for developers using our SYCL product. Most recently, Rod helped to create “SYCL Academy,” a set of materials for teaching SYCL, that have already been adopted by some of the top universities in the world. Rod has been involved in writing a range of training courses.
Hector Arroyo received his B.Eng. and M.Eng. degrees in civil engineering from University of Burgos, Burgos, Spain, and Edinburgh Napier University, Edinburgh, UK, in 2013 and 2014, respectively; and he received an M.S. degree in Data Science from University of Dundee, Dundee, UK, in 2021. He is currently working toward a Ph.D. degree in radar perception to improve the safety of autonomous vehicles with the ALMADA Drone Lab, University of the West of Scotland, and Codeplay, UK. His research interests include the study of sensing techniques for cross-modal, self-supervised learning applied to deep neural networks and robotics.
Dr. Rita Singh is an Associate Research Professor at CMU’s Language Technologies Institute, where she leads the Center for Voice Intelligence and Security. She also co-leads the research groups on Robust Speech Processing, and Machine Learning for Signal Processing. With over 20 years in speech and audio processing, her recent focus has been on voice-based human profiling, blending AI and Voice Forensics. Her team has pioneered several world-firsts. In 2018, they created the first live voice profiling system, demonstrated live at the World Economic Forum. In 2019, they recreated Rembrandt’s voice from his facial self-portraits. In 2020, they pioneered the technology behind voice-driven Covid detection. She is the author of the book “Profiling Humans from their Voice,” and assists multiple federal and global agencies in forensic voice profiling. Her work has gained extensive global media coverage.
Eduardo Alvarez is a Senior AI Solutions Engineer at Intel, specializing in architecting AI/ML solutions, MLOps, and deep learning. With a background in the energy tech startup space, he managed a team focused on delivering SaaS applications for subsurface data analytics in hydrocarbon and renewable energy production. Eduardo collaborates across technical teams at Intel, designing impactful solutions that highlight the Intel software and hardware stack’s influence on AI innovation. He holds a degree in Geophysics from Texas A&M University and is recognized as an accomplished technical author and community leader in AI.
Burak holds a Ph.D. in Electrical and Computer Engineering from Boston University and a B.S. degree in Electronics Engineering from Sabanci University. Before this role, he gained valuable experience at IBM AI Research and Sandia National Labs by developing and deploying end-to-end AI solutions across diverse domains while prioritizing explainability and robustness angles. Burak is also the author of nearly ten research papers and holds two patents.
Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.
Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.
Susan Kahler is a Product Marketing Manager for AI at Intel. She has her Ph.D. in Human Factors and Ergonomics, having used analytics to quantify and compare mental models of how humans learn complex operations. Throughout her well-rounded career, she has held roles in user centered design, product management, customer insights, consulting and operational risk. Susan recently completed her Master of Science in Analytics, focusing on healthcare analytics. She also holds a patent for a software navigation system to guide users through dynamically changing systems.
Joseph (Joe) Curley serves Intel Corporation as Vice President and General Manager of Software Products and Ecosystem in Intel’s Software and Advanced Technology Group. His primary responsibilities include the oneAPI industry initiative, product management of developer and foundational software, and supporting the oneAPI developer ecosystem. Mr. Curley joined Intel Corporation in 2007, and has served in multiple other strategic planning, ecosystem development, and business leadership roles. Prior to joining Intel, Joe worked at Dell, Inc. leading the global workstation product line, the consumer and small business desktop product line, and in a series of engineering roles. He began his career at computer graphics pioneer Tseng Labs.
Sanjiv is focused on building software development tools used by Intel’s HW and SW development community to abstract Intel platforms and deliver timely, scalable, cost-efficient performance. These tools include compilers, debuggers, middleware and low-level libraries, and analyzers. Sanjiv is currently an Intel Vice President in the Software and Advanced Technology Group and General Manager of Developer Software Engineering. He received his bachelor’s and master’s degrees in Computer Science and Engineering from the University of Michigan. He holds 16 patents in the areas of parallel programming and analysis of hardware and software for parallel computation.
Kris is an Assistant Computational Scientist at Argonne National Laboratory’s Leadership Computing Facility. An applied mathematician by training, Kris holds a PhD from the University of Waterloo—with research focusing on geophysical fluid dynamics, high-order methods for incompressible flows, and adaptive mesh refinement. During his postdoc at Cornell University, he went undercover in the Civil and Environmental Engineering Department to study internal waves radiated by the wakes of submersible vehicles, and design fast algorithms for high-order methods. Currently, as part of the Performance Engineering Group at ALCF, he is working to prepare computational science and engineering applications for the Aurora exascale supercomputer.
Varsha Madananth is an Applications engineer at Intel. She has been working on enabling workload on PVC with a focus on SYCL. She also has experience in performance optimizations using parallel programming techniques like vectorization, threading and heterogenous compute, compiler optimizations, and micro-architecture tuning.
Dr. Umesh Unnikrishnan is a postdoctoral appointee in the Argonne National Laboratory. He has a background in computational fluid dynamics and high performance computing. His work at the Argonne Leadership Computing Facility focuses on the development of finite-element based software libraries for running multi-physics scientific codes on GPU computing platforms. Umesh holds a PhD in Aerospace Engineering from the Georgia Institute of Technology.
Hugh Bird is a software engineer at Codeplay Software. He obtained his PhD on “Low-order methods for the unsteady aerodynamics of finite wings” at the University of Glasgow, before moving to Codeplay to work on the ComputeCpp SYCL runtime. He now works in the Performance Libraries team, contributing to the oneMKL interface library, and DFTs in particular.
Biagio is an Assistant Professor in the Department of Computer Science at the University of Salerno, Italy. He joined the University in August 2019 through a national brain gain program and received the Abilitazione for Italian Associate Professorship. From 2015 to 2019, he was Senior Researcher at TU Berlin, Germany, where he was Principal Investigator for the DFG project Celerity and received the Habilitation from the Faculty IV. From 2011 to 2015, he was Postdoctoral researcher at the University of Innsbruck, Austria, contributing to the Insieme Compiler project and the DK-Plus multidisciplinary platform for Scientific Computing. His research is currently funded by the European HPC Joint Undertaking (LIGATE project), the Italian Ministry of Research (LibreRT project, PRIN 2022), and several industrial projects. Biagio’s main research interests are in high performance computing, programming models, compiler technology, optimization and tuning.
Alper Sahistan is a PhD student at the Scientific Computing and Imaging (SCI) Institute, part of the University of Utah School of Computing. His research primarily centers around ray-tracing, volume-rendering, visualization, and computer graphics, with additional interests in High-Performance Computing (HPC) and computational geometry. His current research involves compression of large geometric data for data parallel visualization
He is supervised by Professor Valerio Pascucci, and he holds a Bachelor of Science (BS) and Master of Science (MS) degrees from Bilkent University’s Computer Engineering Department.
Dr. Caplan is a computational scientist whose main interests are in developing and optimizing numerical methods for simulating physics-based models and their implementations in parallel high-performance-computing environments including GPU accelerators. His research currently focuses on the continued development and optimization of Predictive Science’s magnetohydrodynamic codes used to study the solar corona and heliosphere, as well as providing computational solutions for additional projects.
Rob Mueller-Albrecht helps enable developers to streamline programming efforts across heterogeneous compute devices for high performance applications taking advantage of Intel’s family of development tools. He has extensive 20+ years of experience in technical consulting and software architecture working in IoT & Edge embedded software and hardware developer enabling for Intel in Arizona. This included managing a team of engineers on two continents leading embedded platform application engineering efforts. He holds a MS (Dipl.-Phys.) degree from University of Kaiserslautern in Germany.
Dr. Steve Petruzza is an Assistant Professor at Utah State University and a Research Associate at the Scientific Computing and Imaging Institute of the University of Utah. His research spans the area of in high performance computing and large scale scientific visualization with focus on efficient and portable workflows for parallel and distributed data analysis and visualization.
Yasaman Ghadar is computational scientist at Argonne Leadership Computing Facility. Yasaman has a PhD in computational Chemistry and is a main Argonne collaborator for the EXAALT project, an Exascale Computing Project (ECP) effort using molecular dynamics to simulate materials relevant to nuclear fusion and fission. She is working directly with the project team to enable LAMMPS application on Argonne’s upcoming exascale machine, Aurora. For this work she focuses on KOKKOS implementation of LAMMPS with SYCL backend.
She also specialized in creating training materials for current and upcoming HPC machines to our user community such as Polaris and Aurora. She has organized and chaired over twenty technical workshops and forty webinar series, including seven external events in collaboration with both industrial partners and other national laboratories.
Andreas Goetz is an associate research scientist at the San Diego Supercomputer Center (SDSC) at the University of California San Diego where he leads a research group in Data-Driven and High-Performance Computational Chemistry, working at the intersection of chemistry, life sciences, and scientific computing. His research draws on quantum mechanics, statistical mechanics, molecular dynamics, and machine learning approaches to enable simulations of complex molecular systems with applications from atmospheric chemistry to computational drug design on massively parallel computer architectures. He is a contributing author to the ADF and QUICK quantum chemistry software and the AMBER software for biomolecular simulations, which are widely used in academic and industrial research. Andreas also enjoys training the next generation of scientists in software engineering and numerical simulation methods via lectures, workshops, and supervision of interns. He is author of over 75 scientific publications and editor of the book ‘Electronic structure calculations on graphics processing units’. Prior to joining SDSC in 2009 Andreas performed postdoctoral research at the VU University in Amsterdam and obtained his undergraduate and Ph.D. degrees in chemistry from the Friedrich-Alexander University in Erlangen, Germany.
Hugh Bird is a software engineer at Codeplay Software. He obtained his PhD on “Low-order methods for the unsteady aerodynamics of finite wings” at the University of Glasgow, before moving to Codeplay to work on the ComputeCpp SYCL runtime. He now works in the Performance Libraries team, contributing to the oneMKL interface library, and DFTs in particular.
Dr. Steve Petruzza is an Assistant Professor at Utah State University and a Research Associate at the Scientific Computing and Imaging Institute of the University of Utah. His research spans the area of in high performance computing and large scale scientific visualization with focus on efficient and portable workflows for parallel and distributed data analysis and visualization.
Sriram Ramkrishna is the community manager of oneAPI with over 20 years working in technical and open source communities ranging from application and user space communities to communities who work in kernel and near metal space. Today, Sri is focused on expanding and evolving the oneAPI community into a vibrant and active community that provides value and scope for innovation in the various fields that involve AI, HPC and beyond.
