by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Hasso Plattner: Co-founder of SAP and a thought leader in the enterprise software industry, Dr. Plattner championed the development of SAP HANA, an in-memory database that revolutionized data processing speeds for business applications.
Nikita Ivanov: Founder and CTO of GridGain Systems, Ivanov’s work revolves around the Apache Ignite project, which focuses on in-memory computing solutions to accelerate applications and real-time analytics.
Dr. Tilmann Rabl: A recognized figure in the realm of big data systems, Dr. Rabl’s research at the University of Waterloo has encompassed in-memory databases, contributing to advancements in efficient data processing.
Monica Beckwith: An independent consultant and recognized Java Champion, Beckwith’s expertise lies in performance tuning of Java Garbage Collection, which is instrumental for in-memory computing platforms.
Dr. Volker Markl: Based at TU Berlin, Dr. Markl has been a driving force behind several in-memory computing projects, researching scalable algorithms and infrastructures that leverage in-memory data processing.
Thomas Hazel: The founder of Deep Information Sciences, Hazel has made strides in developing in-memory database systems that cater to big data analytics, ensuring real-time processing and analysis.
Dr. Anastasia Ailamaki: A professor at EPFL, Dr. Ailamaki’s research in database management system architectures, particularly in-memory systems, has been groundbreaking in identifying and mitigating inefficiencies.
Matei Zaharia: The creator of Apache Spark, an in-memory big data analytics platform, Zaharia’s innovations have enabled organizations to process large datasets in real-time with exceptional efficiency.
Dr. Michael Stonebraker: A renowned figure in database research, Stonebraker’s work at MIT has touched on various aspects of in-memory databases. His contributions to systems like VoltDB are noteworthy.
Ofer Bengal: Co-founder and CEO of Redis Labs, Bengal has been a significant proponent of in-memory NoSQL databases, particularly through the popular Redis platform.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Prof. Leonard Adleman: Often referred to as the father of DNA computing, Adleman at the University of Southern California demonstrated the first instance of DNA being used to solve a computational problem, providing the foundation for the field.
Prof. Erik Winfree: At Caltech, Winfree’s research combines bioengineering, computer science, and physics, delving deep into DNA-based computation, self-assembly, and the synthesis of digital logic within molecular systems.
Prof. Andrew Ellington: Operating out of the University of Texas at Austin, Ellington focuses on evolutionary biotechnology, including the application of evolved nucleic acid species in computation and nanoscale assembly.
Dr. Marta Kwiatkowska: Based at the University of Oxford, Kwiatkowska’s work in formal verification methods intersects with DNA computing, especially in the synthesis and analysis of DNA-based systems.
Prof. Damien Woods: At the Institute of Science and Technology Austria, Woods works on molecular programming, algorithmic self-assembly, and, more broadly, how DNA can be employed in algorithmic processes.
Dr. Anne Condon: At the University of British Columbia, Condon’s research combines computer science and bioinformatics, focusing on algorithms for predicting RNA, DNA structures, and DNA-based computation.
Prof. Masami Hagiya: From the University of Tokyo, Hagiya is known for his contributions to the theoretical foundations of DNA computing and his work in building DNA-based logic gates.
Prof. Lloyd M. Smith: Working at the University of Wisconsin-Madison, Smith’s contributions to DNA sequencing technologies have provided pivotal tools that enable the progress of DNA computing.
Prof. Natasa Jonoska: At the University of South Florida, Jonoska delves into the mathematical aspects of DNA computing, focusing on formal language theory, computability, and the theoretical underpinnings of DNA-based information processes.
Dr. Sudheer Sahu: As a researcher at Microsoft, Sahu has been exploring the potential integration of DNA-based computation with traditional silicon-based computing, driving forward the practical applications of DNA computing in the tech industry.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Werner Vogels: As the CTO of Amazon, Vogels played a pivotal role in the creation and promotion of Amazon Elastic Compute Cloud (EC2), a foundational service in the realm of elastic computing.
Lew Tucker: Currently at Cisco, Tucker’s involvement in OpenStack and cloud computing has emphasized the need and methods for scalable, elastic computing solutions in diverse industries.
Adrian Cockcroft: Previously at Netflix and now at AWS, Cockcroft’s strategies in cloud architecture have been instrumental in promoting the concept of elasticity in computing to handle unpredictable demands seamlessly.
Martin van Ryswyk: At DataStax, van Ryswyk’s work revolves around the integration of scalable databases and elastic computing, ensuring that data operations are as flexible as compute resources.
Nati Shalom: As the CTO of GigaSpaces, Shalom’s insights into in-memory computing contribute to the broader discourse on achieving elasticity in high-performance applications.
Joe Weinman: Known for his book “Cloudonomics,” Weinman dives deep into the economic and strategic advantages of cloud and elastic computing, offering a business perspective to its technicalities.
Randy Bias: A notable cloud computing pioneer, Bias’s advocacy for open cloud architectures, and his role in founding Cloudscaling underscore the importance of elastic computing in modern infrastructure.
Sebastian Stadil: Founder of Scalr, Stadil’s expertise in cloud management provides insights into the orchestration, automation, and scalability aspects of elastic computing.
Reuven Cohen: As an early cloud visionary, Cohen founded Enomaly, one of the first cloud computing companies focusing on infrastructure elasticity. His perspectives continue to shape the elastic computing narrative.
Bernard Golden: Recognized as a leading thought leader in cloud computing, Golden’s work often touches upon the transformational potential of elastic resources in reshaping business IT.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Rosalind Picard: A pioneer in the field, Dr. Picard is the founder and director of the Affective Computing Research Group at the MIT Media Lab. She authored the seminal book “Affective Computing” and co-founded Affectiva, a company specializing in emotion recognition technology.
Dr. Maja Pantic: A professor at Imperial College London, Dr. Pantic’s research focuses on machine analysis of human non-verbal behavior. She has made significant contributions to automatic facial expression recognition and emotion-oriented computing.
Dr. Björn Schuller: Known for his work on speech and emotion, Dr. Schuller’s research is integral to understanding how voice reveals emotions, leading to advancements in human-computer interaction.
Dr. Rana el Kaliouby: As the co-founder and CEO of Affectiva, Dr. el Kaliouby plays a crucial role in commercializing emotion-sensing and analytics technology, especially in industries like advertising and automotive.
Dr. Rafael Calvo: A professor at the University of Sydney, Dr. Calvo co-authored the book “Positive Computing,” exploring how technology can be designed to support wellbeing and human potential, central themes in affective computing.
Dr. Sidney D’Mello: His research, spanning cognitive science, human-computer interaction, and artificial intelligence, looks into the emotional and cognitive dynamics of complex learning and problem-solving.
Dr. Elisabeth André: A professor at the University of Augsburg, Dr. André’s work in multimodal human-computer interaction and embodied conversational agents has contributed immensely to making technology more emotionally aware.
Dr. Ming-Hsuan Yang: Focusing on computer vision and human-centered computing, Dr. Yang’s research at the University of California, Merced, has advanced the field of emotion detection from visual cues.
Dr. Stacy Marsella: A professor at Northeastern University, Marsella’s expertise in virtual human agents and computational models of emotion provides insights into how virtual entities can understand and simulate human emotions.
Dr. Emily Mower Provost: Based at the University of Michigan, her work at the intersection of emotion and computing, especially in speech processing, has implications for health and communication technologies.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Jack Dongarra: A Distinguished Professor at the University of Tennessee, Dongarra is known for his groundbreaking work on high-performance computing (HPC) algorithms and libraries. He’s a pioneer in the LINPACK benchmark, which drives the TOP500 supercomputer ranking.
Dr. Thomas Sterling: As the Chief Scientist at the Center for Research in Extreme Scale Technologies (CREST), Indiana University, Sterling’s work on the ParalleX execution model has been pivotal for the advancements in exascale computing.
Dr. William D. Gropp: Director of the National Center for Supercomputing Applications (NCSA) and a professor at the University of Illinois, Gropp’s research on parallel computing and contributions to the Message Passing Interface (MPI) has heavily influenced exascale progress.
Dr. Katherine Yelick: A professor at UC Berkeley and an Associate Lab Director at Lawrence Berkeley National Laboratory, Yelick’s work on programming languages and compilers has paved the way for more efficient exascale computing.
Dr. John Shalf: As the CTO at the National Energy Research Scientific Computing Center (NERSC), Shalf’s expertise lies in energy-efficient supercomputing. His insights are crucial in the race towards sustainable exascale machines.
Dr. Satoshi Matsuoka: Director at RIKEN Center for Computational Science, Japan, Matsuoka has been involved in several supercomputing projects, including the Post-K supercomputer, aiming to achieve exascale performance.
Dr. Pete Beckman: Co-director of the Northwestern-Argonne Institute of Science and Engineering, Beckman’s research focuses on software technologies for exascale systems, especially in the context of system reliability and power efficiency.
Dr. Paul Messina: Formerly the Director of the U.S. Exascale Computing Project, Dr. Messina has overseen collaborative efforts to accelerate the delivery of a capable exascale computing ecosystem.
Dr. Michela Taufer: A professor at the University of Tennessee, Taufer’s work in HPC, cloud computing, and big data has contributed to shaping scalable algorithms and methodologies suitable for exascale challenges.
Dr. Horst Simon: As the Deputy Director of Lawrence Berkeley National Laboratory, Simon’s vision and leadership in computational research have advanced the understanding of challenges and solutions in the journey to exascale.
