Top 10 Sustainable Computing experts to follow

Dr. Partha Ranganathan: A Principal Engineer at Google, Ranganathan’s work delves deeply into energy-efficient architectures. His innovations in server designs, specifically for large-scale data centers, have emphasized sustainability in computing.

Dr. Krishna Kant: A professor at George Mason University, Dr. Kant’s research encompasses green and sustainable computing. He particularly focuses on energy-efficient data center operations, covering areas from cooling techniques to workload management.

Dr. Wu-chun Feng: Based at Virginia Tech, Dr. Feng has championed the “Green500 List”, ranking supercomputers based on energy efficiency. His work underlines the importance of performance-per-watt metrics in high-performance computing.

Dr. Karin Strauss: A Senior Researcher at Microsoft Research, Strauss’s expertise lies in exploring sustainable data storage solutions. She has been involved in projects using DNA for data storage, promising both density and longevity with minimal environmental impact.

Dr. Tajana Rosing: A professor at UC San Diego, Dr. Rosing has conducted significant research in energy efficiency and reliability for embedded, mobile, and data center systems. Her work addresses power management at various computing scales.

Dr. Suzanne Rivoire: Based at Sonoma State University, Dr. Rivoire’s work emphasizes energy efficiency in computing systems. She has explored sustainable practices in both hardware design and software optimization.

Dr. Barath Raghavan: Merging computing with ecological principles, Dr. Raghavan’s research contemplates how computational systems can be designed in harmony with ecological systems, addressing challenges like e-waste and energy consumption.

Dr. Jie Liu: As a Principal Researcher at Microsoft Research, Liu’s work has touched upon various aspects of energy-efficient computing, from sensing systems to efficient algorithm designs, advocating for sustainability at both the micro and macro levels.

Dr. Canturk Isci: Working at IBM’s T.J. Watson Research Center, Dr. Isci delves into adaptive and energy-efficient system management. His work aids in optimizing computing performance without compromising on sustainability.

Dr. Christina Delimitrou: A professor at Cornell University, Delimitrou’s research on data center management and cloud computing has a keen emphasis on efficiency and sustainability. She explores how AI can aid in creating more sustainable computing infrastructures.

Top 10 Neuromorphic Computing experts to follow

Dr. Kwabena Boahen: A professor at Stanford University, Dr. Boahen is a leading figure in neuromorphic engineering. His research lab explores the design of neuromorphic chips, focusing on both the hardware and software aspects of brain-inspired computing.

Dr. Giacomo Indiveri: As a professor at the University of Zurich and ETH Zurich, Dr. Indiveri has been instrumental in advancing neuromorphic circuits and systems. His work dives deep into the intricacies of emulating brain-like computation on silicon devices.

Dr. Steve Furber: Best known for his work on the ARM microprocessor, Dr. Furber, from the University of Manchester, is now involved in the SpiNNaker project—a million-core neuromorphic computing platform inspired by the human brain’s architecture.

Dr. Julie Grollier: Research Director at CNRS-Thales, France, Dr. Grollier is renowned for her contributions to spintronic-based bio-inspired devices, combining the worlds of nanoelectronics and neuromorphic computing.

Dr. Michael Pfeiffer: A leading expert at BrainChip, Pfeiffer’s work focuses on learning algorithms for neuromorphic hardware, making machine learning more efficient and closer to how human neurons operate.

Dr. Tobi Delbruck: As a professor at ETH Zurich, Delbruck’s expertise lies in sensory processing. He’s known for developing silicon retina devices that mimic the way human eyes process visual information, an essential component of neuromorphic systems.

Dr. Jennifer Hasler: Based at the Georgia Institute of Technology, Dr. Hasler’s research encompasses large-scale integrated systems, including neuromorphic models. Her exploration of floating-gate circuits has paved the way for more adaptable neuromorphic systems.

Dr. Narayan Srinivasa: As the Chief Scientist at Intel’s Loihi project, Dr. Srinivasa’s insights are crucial in driving one of the most advanced neuromorphic research projects, aimed at developing brain-inspired hardware.

Dr. Elisabetta Chicca: Working at Bielefeld University, Dr. Chicca is at the forefront of developing neuromorphic chips that can emulate synaptic plasticity—the brain’s ability to strengthen or weaken neural connections based on activity.

Dr. Ryuji Yokoyama: Leading research at IBM’s Almaden Research Center, Dr. Yokoyama’s focus is on developing devices and systems that leverage the principles of neuromorphic engineering to create more energy-efficient and adaptive computing platforms.

Top 10 Spatial Computing experts to follow

Rony Abovitz: As the founder of Magic Leap, Abovitz has been instrumental in pushing the boundaries of augmented reality (AR) and spatial computing. His work at Magic Leap has been at the forefront of immersive mixed-reality experiences.

Dr. Blair MacIntyre: A Principal Research Scientist at Mozilla and Professor at Georgia Tech, Dr. MacIntyre’s work has largely revolved around augmented and mixed reality, with a strong emphasis on creating scalable, web-based AR experiences.

John Hanke: The CEO of Niantic, the company behind Pokémon GO, Hanke’s endeavors have highlighted the power of merging the digital and physical worlds. His projects have made spatial computing experiences mainstream.

Timoni West: As the Director of XR Research at Unity Technologies, West has played a pivotal role in developing tools and frameworks that allow for the creation of spatial computing experiences.

Ori Inbar: Co-founder of AWE (Augmented World Expo) and Super Ventures, Inbar is deeply embedded in the spatial computing ecosystem. His insights provide a comprehensive view of emerging trends and technologies in AR and spatial computing.

Dr. Steve Feiner: A Professor at Columbia University, Dr. Feiner’s research on augmented reality and spatial computing has spanned several decades, making him one of the early pioneers in the field.

Amitabh Varshney: Serving as the Dean of the College of Computer, Mathematical, and Natural Sciences at the University of Maryland, Varshney’s research focuses on visual computing and the application of spatial computing in medicine and other fields.

Mercedes Soria: As the EVP of Software Engineering at Knightscope, Soria’s work involves integrating spatial computing into autonomous security robots. These robots interpret and interact with their environment in real-time.

Philip Rosedale: Founder of the virtual world Second Life and the social VR platform High Fidelity, Rosedale’s work explores the convergence of spatial computing with virtual communities and economies.

Meron Gribetz: The founder of Meta, a company that produced AR glasses, Gribetz envisions a future where spatial computing seamlessly integrates with daily life, replacing traditional screens and enhancing human interactions.

Top 10 Fog Computing experts to follow

Flavio Bonomi: Often recognized as one of the pioneers of fog computing, Bonomi, former Chief Technologist at Cisco, has put forth seminal ideas that define the foundational concepts of fog computing, particularly its integration with the Internet of Things (IoT).

Dr. Tao Zhang: An eminent figure in networking R&D for over 30 years, Dr. Zhang, also from Cisco, has extensively explored fog’s role in enhancing edge capabilities, emphasizing its value in scenarios like connected vehicles and smart cities.

Dr. Mung Chiang: The Executive Vice President at Purdue University and a distinguished professor, Dr. Chiang’s work touches upon network architectures and their implications on fog computing, particularly in relation to optimization and control.

Mario Campolargo: As the former Director of “Net Futures” at the European Commission’s DG CONNECT, Campolargo’s insights have driven European initiatives in IoT and fog computing, focusing on developing a sustainable digital single market.

Dr. Schahram Dustdar: Heading the Distributed Systems Group at TU Wien, Austria, Dr. Dustdar delves into the intricacies of fog and edge computing from a systems perspective, particularly looking at their role in supporting distributed applications.

Lynne Canavan: As the Executive Director of the OpenFog Consortium, Canavan’s efforts are pivotal in shaping industry standards for fog computing. Her work ensures cohesive development and deployment practices across sectors.

Dr. Rajkumar Buyya: A professor at the University of Melbourne, Dr. Buyya’s research encompasses cloud, fog, and edge computing. His contributions touch upon the intricacies of orchestrating applications and resources in a fog environment.

Antonio J. Jara: CEO of HOP Ubiquitous, Jara’s work in smart cities heavily emphasizes the utility of fog computing. His approach champions the localized processing of data to achieve responsiveness and efficiency in urban contexts.

Dr. Tom Bradicich: As a VP at Hewlett Packard Enterprise (HPE), Dr. Bradicich’s insights have been instrumental in steering HPE’s forays into edge and fog computing, especially in industrial IoT applications.

Dr. Dimitrios Georgakopoulos: Based at Swinburne University of Technology, Dr. Georgakopoulos’s research on fog-enabled environments underscores their role in facilitating scalable and reliable IoT applications.

Top 10 Ambient Computing experts to follow

Sundar Pichai: As the CEO of Alphabet (Google’s parent company), Pichai has been vocal about transitioning to an “ambient computing” era, where technology blends seamlessly into the background, evident from products like Google Nest and Google Assistant.

Satya Nadella: The CEO of Microsoft, Nadella emphasizes on infusing AI and ambient intelligence into products, exemplified by tools like Azure’s ambient intelligence capabilities.

Werner Vogels: Amazon’s CTO, Vogels is integral to the development and promotion of Alexa and Amazon Echo, devices central to the ambient computing movement.

Mark Weiser: Recognized as the father of ubiquitous computing (a foundation for ambient computing), Weiser’s early work at Xerox PARC set the vision for computing that fades into the background.

Kevin Ashton: Coined the term “Internet of Things,” Ashton’s ideas are pivotal to ambient computing, emphasizing interconnected devices enhancing user experiences.

Adam Cheyer: Co-founder of Siri, Apple’s voice assistant, Cheyer’s work embodies ambient computing principles by enabling technology to respond contextually to human voice commands.

Rana el Kaliouby: As the CEO of Affectiva, an emotion recognition technology company, Kaliouby is pushing boundaries in how machines recognize and respond to human emotional cues, a key component of ambient computing.

Pranav Mistry: Known for the SixthSense wearable device, Mistry’s work delves into merging physical and digital worlds, now channeling his insights as the CEO of Samsung’s STAR Labs.

Pattie Maes: Leading the Fluid Interfaces Group at the MIT Media Lab, Maes’s work centers on designing intuitive interfaces that embed seamlessly into users’ everyday lives.

Regina Dugan: Former director of DARPA and a leader in Facebook’s Building 8 (hardware division), Dugan has worked on projects that seek to bridge the gap between the human brain and computing devices, aligning with ambient computing’s ethos.

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