Tirthankar Lahiri

Tirthankar Lahiri is Vice President of the Data and In-Memory Technologies group for Oracle Database and is responsible for the Oracle Database Engine (including Database In-Memory, Data and Indexes, Space Management, Transactions, and the Database File System), the Oracle TimesTen In-Memory Database, and Oracle NoSQLDB. Tirthankar has 22 years of experience in the Database industry and has worked extensively in a variety of areas including Manageability, Performance, Scalability, High Availability, Caching, Distributed Concurrency Control, In-Memory Data Management, NoSQL architectures, etc. He has 27 issued and has several pending patents in these areas. Tirthankar has a B.Tech in Computer Science from the Indian Institute of Technology (Kharagpur) and an MS in Electrical Engineering from Stanford University.

Ping Zhou

Ping Zhou is a Senior Researcher/Architect with ByteDance, focusing on next-gen infrastructure innovations with hardware/software co-design. Prior to joining ByteDance, Ping worked with Google, Alibaba and Intel on products including Google Assistant, Optane SSD and Open Channel SSD. Ping earned his PhD in Computer Engineering at University of Pittsburgh, specializing in the field of emerging memory and storage technologies.

Mahesh Wagh

Mahesh Wagh is AMD Sr. Fellow, Server System Architect in the AMD Datacenter System Architecture and Engineering team, developing world-class products and solutions around EPYC processors.

Prior to joining AMD, Mahesh was a Senior Principal Engineer at Intel corporation, focusing on IO and SoC architecture and related technology developments. He has broad experience in chipset and IO architecture, design and validation on both Server and Client platforms.

Some of Mahesh´s significant achievements include the enhancements to PCI Express Architecture and Specification, leading CPU IO domain architecture and IO IP architecture & Interfaces and leading AMD´s Compute Express Link (CXL) efforts.

Paul Crumley

Paul G Crumley, a Senior Technical Staff Member at IBM Research, enjoys creating systems to solve problems beyond the reach of current technology.

Paul’s current project integrates secure, compliant AI capabilities with enterprise Hybrid Cloud allowing clients to extract new business value from their data.

Paul’s previous work includes the design and construction of distributed, and high-performance computing systems at CMU, Transarc, and IBM Research. Projects include The Andrew Project at CMU, ASCI White, IBM Global Storage Architecture, Blue Gene Supercomputers, IBM Cloud, and IBM Cognitive Systems. Paul has managed data centers, and brings his first-hand knowledge of these environments, combined with experience of automation and robustness, to the design of AI for Hybrid Cloud infrastructure.

Ramin Farjadrad

Ramin Farjadrad is the inventor of over 130 granted and pending patents in communications and networking. He has a successful track record of creating differentiating connectivity technologies adopted by the industry as International standards (Two Ethernet standards at IEEE, one chiplet connectivity at OCP.) Ramin co-founded Velio Communications, which led to a Rambus/LSI Logic acquisition, and Aquantia, which IPO’d and was acquired by Marvell Technologies. Ramin’s Ph.D. EE is from Stanford.

Puja Das

Dr. Puja Das, leads the Personalization team at Warner Brothers Discovery (WBD) which includes offerings on Max, HBO, Discovery+ and many more.

Prior to WBD, she led a team of Applied ML researchers at Apple, who focused on building large scale recommendation systems to serve personalized content on the App Store, Arcade and Apple Books. Her areas of expertise include user modeling, content modeling, recommendation systems, multi-task learning, sequential learning and online convex optimization. She also led the Ads prediction team at Twitter (now X), where she focused on relevance modeling to improve App Ads personalization and monetization across all of Twitter surfaces.

She obtained her Ph.D from University of Minnesota in Machine Learning, where the focus of her dissertation was online learning algorithms, which work on streaming data. Her dissertation was the recipient of the prestigious IBM Ph D. Fellowship Award.

She is active in the research community and part of the program committee at ML and recommendation system conferences. Shas mentored several undergrad and grad students and participated in various round table discussions through Grace Hopper Conference, Women in Machine Learning Program colocated with NeurIPS, AAAI and Computing Research Association- Women’s chapter.

Dr. Vibhor Aggarwal

Vibhor is an R&D leader with expertise in HPC Software, Scientific Visualization, Cloud Computing and AI technologies with 14 years of experience. He and his team at Shell are currently work on problems in optimizing HPC software for simulations, large-scale and generative AI, combination of Physics and AI models, developing platform and products for HPC-AI solutions as well as emerging HPC areas for energy transition at the forefront of Digital Innovation. He has two patents and several research publications. Vibhor has a BEng in Computer Engineering from University of Delhi and a PhD in Engineering from University of Warwick.    

Rodrigo Madanes

Rodrigo Madanes is EY’s Global Innovation AI Leader. Rodrigo has a computer science degree from MIT and a PhD from UC Berkeley. Some testament to his technical expertise includes 3 patents and having created novel AI products at both the MIT Media Lab as well as Apple’s Advanced Technologies Group.

Prior to EY, Rodrigo ran the European business incubator at eBay which launched new ventures including eBay Hire. At Skype, he was the C-suite executive leading product design globally during its hyper-growth phase, where the team scaled the userbase, revenue, and profits 100% YoY for 3 consecutive years.

John Overton

John Overton is the CEO of Kove IO, Inc. In the late 1980s, while at the Open Software Foundation, Dr. Overton wrote software that went on to be used by approximately two thirds of the world’s workstation market. In the 1990s, he co-invented and patented technology utilizing distributed hash tables for locality management, now widely used in storage, database, and numerous other markets. In the 2000s, he led development of the first truly capable Software-Defined Memory offering, Kove:SDM™. Kove:SDM™ enables new Artificial Intelligence and Machine Learning capabilities, while also reducing power by up to 50%. Dr. Overton has more than 65 issued patents world-wide and has peer-reviewed publications across numerous academic disciplines. He holds post-graduate and doctoral degrees from Harvard and the University of Chicago.

Narendra Narang