Infrastructure
Hardware
Edge
Edge
Infrastructure
Edge
Infrastructure
MLOps
Hooman Sedghamiz
Senior Director of AI & ML
Bayer
Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.
He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.
His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.
Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.
Edge
Infrastructure
MLOps
Mo Haghighi
Distinguished Engineer
Discover Financial Services
Dr Mo Haghighi is a director of engineering/distinguished engineer at Discover Financial Services. His current focus is hybrid and multi-cloud strategy, application modernisation and automating application/workload migration across public and private clouds. Previously, he held various leadership positions as a program director at IBM, where he led Developer Ecosystem and Cloud Engineering teams in 27 countries across Europe, Middle East and Africa. Prior to IBM, he was a research scientist at Intel and an open source advocate at Sun Microsystems/Oracle.
Mo obtained a PhD in computer science, and his primary areas of expertise are distributed and edge computing, cloud native, IoT and AI, with several publications and patents in those areas.
Mo is a regular keynote/speaker at major developer conferences including Devoxx, DevOpsCon, Java/Code One, Codemotion, DevRelCon, O’Reilly, The Next Web, DevNexus, IEEE/ACM, ODSC, AiWorld, CloudConf and Pycon.
Prasad Jogalekar
Head of Global Artificial Intelligence and Accelerator Hub
Ericsson
Paul Karazuba
VP of Marketing
Expedera
Paul is Vice President of Marketing at Expedera, a leading provider of AI Inference NPU semiconductor IP. He brings a talent for transforming new technology into products that excite customers. Previously, Paul was VP Marketing at PLDA, specializing in high-speed interconnect IP, until its acquisition by Rambus. Before PLDA, he was Senior Director of Marketing at Rambus. Paul brings more than 25 years of marketing experience including Quicklogic, Aptina (Micron), and others. He holds a BS in Management and Marketing from Manhattan College.
Expedera
Website: https://www.expedera.com/
Expedera provides scalable neural engine semiconductor IP that enables major improvements in performance, power, and latency while reducing cost and complexity in AI-inference applications. Third-party silicon-validated, Expedera’s solutions produce superior performance and are scalable to a wide range of applications from edge nodes and smartphones to automotive and data centers. Expedera’s Origin™ deep learning accelerator products are easily integrated, readily scalable, and can be customized to application requirements. The company is headquartered in Santa Clara, California.
Edge
Infrastructure
MLOps
Hooman Sedghamiz
Senior Director of AI & ML
Bayer
Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.
He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.
His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.
Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.
Edge
Inferencing
Mo Haghighi
Distinguished Engineer
Discover Financial Services
Dr Mo Haghighi is a director of engineering/distinguished engineer at Discover Financial Services. His current focus is hybrid and multi-cloud strategy, application modernisation and automating application/workload migration across public and private clouds. Previously, he held various leadership positions as a program director at IBM, where he led Developer Ecosystem and Cloud Engineering teams in 27 countries across Europe, Middle East and Africa. Prior to IBM, he was a research scientist at Intel and an open source advocate at Sun Microsystems/Oracle.
Mo obtained a PhD in computer science, and his primary areas of expertise are distributed and edge computing, cloud native, IoT and AI, with several publications and patents in those areas.
Mo is a regular keynote/speaker at major developer conferences including Devoxx, DevOpsCon, Java/Code One, Codemotion, DevRelCon, O’Reilly, The Next Web, DevNexus, IEEE/ACM, ODSC, AiWorld, CloudConf and Pycon.
Prasad Jogalekar
Head of Global Artificial Intelligence and Accelerator Hub
Ericsson
Paul Karazuba
VP of Marketing
Expedera
Paul is Vice President of Marketing at Expedera, a leading provider of AI Inference NPU semiconductor IP. He brings a talent for transforming new technology into products that excite customers. Previously, Paul was VP Marketing at PLDA, specializing in high-speed interconnect IP, until its acquisition by Rambus. Before PLDA, he was Senior Director of Marketing at Rambus. Paul brings more than 25 years of marketing experience including Quicklogic, Aptina (Micron), and others. He holds a BS in Management and Marketing from Manhattan College.
Stuart Clubb
Technical Product Management Director
Siemens
Stuart is responsible for Catapult HLS Synthesis and Verification Solutions since July 2017. Prior to this new role, Stuart had been successfully managing the North American FAE team for Mentor/Siemens and Calypto Design Systems and was key to the growth achieved for the CSD products after the Calypto acquisition. Moving from the UK in 2001 to work at Mentor Graphics, Stuart held the position of Technical Marketing Engineer, initially on the Precision RTL synthesis product for 6 years and later on Catapult for 5 years. He has held various engineering and application engineering roles ASIC and FPGA RTL hardware design and verification. Stuart graduated from Brunel University, London, with a Bachelors of Science.
MLOps
Edge
Systems
Tom Sheffler
Solution Architect, Next Generation Sequencing
Former Roche
Tom earned his PhD from Carnegie Mellon in Computer Engineering with a focus on parallel computing architectures and prrogramming models. His interest in high-performance computing took him to NASA Ames, and then to Rambus where he worked on accelerated memory interfaces for providing high bandwidth. Following that, he co-founded the cloud video analytics company, Sensr.net, that applied scalable cloud computing to analyzing large streams of video data. He later joined Roche to work on next-generation sequencing and scalable genomics analysis platforms. Throughout his career, Tom has focused on the application of high performance computer systems to real world problems.
Software
Hardware
Infrastructure
Systems
Bing Yu
Senior Technical Director
Andes Technology
Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.
John Fry
Chief of Staff
Positron AI
John has worked in the hardware industry for 30 years developing and bringing to market custom linear algebra-based computing solutions for the rollout of digital TV, the build-out of cellular and networked communication systems for the internet, and more recently big data and AI. John has worked for Altera, Arm, Groq and a few startups in a variety of leadership roles prior to joining Positron where he is Chief of Staff.
Mitchelle Rasquinha
Software Engineer
MLCommons
Moderator
Sree Ganesan
VP of Product
d-Matrix
Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.