Work with thought leaders and academic experts in Hardware and Architecture

Companies can benefit from working with Hardware and Architecture experts in various ways. These experts can provide valuable insights and guidance in designing and optimizing hardware systems, improving architectural efficiency, and implementing cutting-edge technologies. They can also help in solving complex technical challenges, conducting research and development, and staying updated with the latest industry trends. Collaborating with Hardware and Architecture researchers can lead to innovative product development, cost savings, improved performance, and a competitive edge in the market.

Researchers on NotedSource with backgrounds in Hardware and Architecture include Aruna Ranaweera, Suganthi Kanagaraj, Tim Osswald, Vladimir Shapiro, Ph.D., Hector Klie, David J. Lilja, Dmitry Batenkov, Ph.D., Athul Prasad, Kayol Soares Mayer, Ph. D., Krzysztof Wolk, Ruben Del-Rio-Ruiz, and Ayse Oktay.

Aruna Ranaweera

Colombo
18 Years Experience
Professor at University of Kelaniya, PhD(Kyung Hee University, South Korea)
Education

Kyung Hee University - Global Campus

Doctor of Philosophy, Department of Electronics and Radio Engineering / February, 2017

Yongin

University of Kelaniya Faculty of Science

B.Sc., Department of Physics / March, 2006

Kelaniya
Experience

University of Kelaniya Faculty of Science

Professor / November, 2021 — Present

Lecturer / July, 2008 — Present

Assistant Lecturer / June, 2006 — February, 2008

Wayamba University of Sri Lanka

Lecturer / February, 2008 — June, 2008

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (17)
Wireless Power Transfer
Metamaterials
Supercapacitor Assisted Power Electronics
Electronic, Optical and Magnetic Materials
Surfaces, Coatings and Films
And 12 more
About
I am dedicated and passionate about inspiring and engaging my students in an effective learning process to generate new knowledge, do innovations, engage in technology transfer, and enhance human capital through interdisciplinary and collaborative research for the well-being of academia, industry, and society.

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Suganthi Kanagaraj

Pondicherry
10 Years Experience
Ph.D. graduate in Biotechnology with passionate on biology research and scientific communication.
Education

Bharathidasan University

Ph.D, Environmental Biotechnology / November, 2018

Tiruchchirappalli

Pondicherry University

M.Sc., Biotechnology / April, 2013

Puducherry

University of Madras

B.Sc, Biotechnology / April, 2011

Chennai
Experience

Patenomy

Consultant / January, 2024 — Present

Writing image description of the scientific concepts for the visually impaired individuals to enhance understanding.

Chegg

Subject Matter Expert (Biology) / September, 2020 — December, 2022

 Solutions for challenging biology questions to facilitate exam preparation  Provided clear and effective explanations for difficult concepts.

Straive

Subject Matter Expert (Biology) / October, 2020 — October, 2021

Led successful project completions including CAPP, TBS, TBS Rewrite, and Topic Page enhancements. Contributions at Straive  Technical writing for general biology, text book solutions  Ensuring scientific content quality for delivery  Involved chegg assessment proficiency platform  Content development from research papers, reports, etc.  Collaboration across cross-functional teams

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (16)
Plant Physiology
Forest Carbon
Soil Organic Matter/Carbon
Greenhouse Gas
Climate Change
And 11 more
About
Seasoned Ph.D. in Biotechnology with a robust background in plant biology, environmental biotechnology, molecular biology, microbiology, physiology, and biochemical analysis. Demonstrated proficiency in sample collection, laboratory analysis, meticulous data analysis, and comprehensive documentation and reporting. Bringing a wealth of experience and a commitment to excellence, I am dedicated to advancing my skills and making a significant impact in the field.

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Tim Osswald

36 Years Experience
Polymers Professor - University of Wisconsin
Education

University of Illinois at Urbana-Champaign

PhD, Mechanical Engineering / January, 1987

Urbana, Illinois, United States of America

South Dakota School of Mines and Technology

M.S., Mechanical Engineering / May, 1982

Rapid City, South Dakota, United States of America

South Dakota School of Mines and Technology

B.S., Mechanical Engineering / May, 1981

Rapid City, South Dakota, United States of America
Experience

University of Wisconsin Madison

Professor / August, 1989 — Present

Rheinisch Westfalische Technische Hochschule Aachen

Humboldt Fellow / February, 1987 — June, 1989

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (45)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 40 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.

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Vladimir Shapiro, Ph.D.

Boston, Massachusetts, United States of America
30 Years Experience
PRINCIPAL AI/COMPUTER VISION DATA SCIENTIST; EXPERIENCED SOFTWARE (PYTHON, C/C++, R) DEVELOPER; ADJUNCT UNIVERSITY PROFESSOR
Education

Technical University of Sofia

Electrical & Computer Engineering / January, 1991

Sofia
Experience

Northeastern University

Adjunct Professor / September, 2019 — Present

Developed and taught numerous courses in AI, Machine Learning, Statistics, Programming, etc., at the graduate and undergraduate levels

Avitas Systems (Baker Hughes from 2019, General Electric Venture from 2016),

Principal Computer Vision Data Scientist / November, 2016 — May, 2023

● Research, prototyping, designing, and efficiently implementing image and video analytics algorithms with Deep Learning frameworks, e.g., TensorFlow/Keras. ● Agile development in Python, C++, in Linux, including on Amazon AWS. ● Design of the Machine Learning pipelines and workflows, including the entire dataset and model lifecycle. Management of the data annotation and curation operation, including directing the team.

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (15)
Computer Vision and Pattern Recognition
Hardware and Architecture
Computer Science Applications
Software
Signal Processing
And 10 more
About
• Expertise in image and video processing, machine vision, machine learning, digital signal processing, deep learning and pattern recognition algorithm development. • Expertise of production quality C/C++, Python language implementation including for real-time and multiple including embedded platforms. • Experience of working for start-ups and global companies. • Over 50 scientific publications and patents. Specialties: AI, image/video processing, computer vision, machine vision, deep learning, pattern recognition, machine learning, data science, software engineering, embedded software, real-time systems, motor control, Python, C/C++, R and MATLAB programming, software development, object oriented, Linux, Windows, algorithms, Agile development.

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Hector Klie

Houston, Texas, United States of America
21 Years Experience
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
Education

Ph.D., Computational Science and Engineering / May, 1997

Houston, Texas, United States of America

Master of Arts, Computational and Applied Mathematics / May, 1995

Houston

Simón Bolívar University

Master of Science, Computer Science / May, 1991

Caracas
Experience

DeepCast, LLC

CEO / May, 2017 — Present

ConocoPhillips Company

Staff Data Scientist / March, 2008 — April, 2016

Sanchez Oil and Gas

Director of Enterprise Data Solutions / March, 2016 — March, 2017

Design corporate data science platform, lead R&D in machine learning and AI to generate highly predictive models for field applications

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (24)
Artificial Intelligence
Machine Learning
Data Science
optimization
Computational Theory and Mathematics
And 19 more
About
**Results-driven AI leader with 20+ years of success spearheading model development and optimization initiatives in the energy industry and academia. Proven track record in leveraging computational data science, scientific machine learning, and AI to drive breakthrough physics-data solutions and deliver tangible business value. Adept at translating complex scientific concepts into robust AI models. Skilled in numerical simulation, scientific machine learning, and bilingual communication to optimize project outcomes.**

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David J. Lilja

Minneapolis, Minnesota, United States of America
40 Years Experience
Professor Emeritus of Electrical and Computer Engineering, University of Minnesota
Education

University of Illinois Urbana-Champaign

Ph.D., Electrical Engineering

Urbana, Illinois, United States of America

University of Illinois Urbana-Champaign

M.S., Electrical Engineering

Urbana, Illinois, United States of America

Iowa State University

B.S., Computer Engineering

Ames, Iowa, United States of America
Experience

University of Minnesota - Twin Cities

Professor

Department Head

University of Canterbury, Christchurch, New Zealand

Visiting Professor

University of Western Australia, Perth, Australia

Visiting Professor

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (16)
Computer architecture
high-performance parallel processing
computer systems performance analysis
approximate computing
Hardware and Architecture
And 11 more
About
**Research Expertise** Computer architecture, high-performance parallel processing, computer systems performance analysis, approximate computing, computing with emerging technologies, and storage systems. **Biographical summary** David J. Lilja received a Ph.D. and an M.S., both in Electrical Engineering, from the [University of Illinois at Urbana-Champaign,](http://www.uiuc.edu/) and a B.S. in Computer Engineering from [Iowa State University](http://www.iastate.edu/) in Ames. He is Professor Emeritus of [Electrical and Computer Engineering](http://www.ee.umn.edu/) at the [University of Minnesota](http://www.umn.edu/) in Minneapolis. He previously served as a member of the graduate faculties in [Computer Science](http://www.cs.umn.edu/), [Scientific Computation](http://www.scicomp.umn.edu/), and [Data Science](http://datascience.umn.edu//).  He served ten years as the head of the ECE department at the University of Minnesota, worked as a research assistant at the Center for Supercomputing Research and Development at the [University of Illinois,](http://www.uiuc.edu/) and as a development engineer at [Tandem Computers Incorporated](http://www.tandem.com/) in Cupertino, California.  He received a [Fulbright](http://www.fulbright.org/) Senior Scholar Award to visit the University of Western Australia and was a visiting Professor at the University of Canterbury in Christchurch, New Zealand. He has chaired and served on the program committees of numerous conferences.  He was elected a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the American Association for the Advancement of Science (AAAS) for contributions to the statistical analysis of computer performance. He also is a registered Professional Engineer.

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Dmitry Batenkov, Ph.D.

New York City, New York, United States of America
15 Years Experience
A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science.
Education

Weizmann Institute of Science

Ph.D., Applied Mathematics / January, 2014

Rehovot
Experience

Tel Aviv University

Assistant Professor / July, 2019 — Present

Producing high-impact research in inverse problems, super-resolution, numerical analysis, signal processing, physics-informed machine learning, computational harmonic analysis, optimization, atmospheric remote sensing • Advised 4 postdocs, 2 PhD, 4 M.Sc. students and 3 undergraduates • Developed and taught an advanced graduate class on Inverse Problems and Super-Resolution

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (31)
Applied Harmonic Analysis
Sparse Representations
Numerical Analysis
Approximation Theory
Inverse Problems
And 26 more
About
I am passionate about solving big problems with scientific and computational tools. A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science. A highly-skilled software engineer and analyst/architect with 6+ years of experience as a technical lead in professional software development.

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Athul Prasad

17 Years Experience
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Education

Massachusetts Institute of Technology

Master of Business Administration, Sloan School of Management / May, 2020

Cambridge, Massachusetts, United States of America

Aalto-yliopisto Sähkötekniikan korkeakoulu

Doctor of Science (Technology), Communication and Networking / December, 2015

Aalto

Aalto University

M.Sc. (Tech), Wireless Communications / March, 2011

Espoo
Experience

Nokia Solutions and Networks Oy

Senior Specialist, Radio Research / June, 2014 — January, 2023

Wireless research, scientific publications, patents

Samsung Electronics

Senior Manager / January, 2023 — Present

Technology partnership, strategy, business development

NEC Europe Ltd

Research Engineer / December, 2012 — May, 2014

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (36)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 31 more
About
Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.

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Kayol Soares Mayer, Ph. D.

9 Years Experience
Researcher at State University of Campinas
Education

State University of Campinas

Ph.D. in Electrical Engineering, DECOM / November, 2022

Campinas

Pontifícia Universidade Católica do Rio Grande do Sul

Master of Science in Eletrical Engineering , School of Technology / March, 2018

Porto Alegre

Pontifícia Universidade Católica do Rio Grande do Sul

Bachelor of Engineering of Control and Automation, FENG / December, 2015

Porto Alegre
Experience

State University of Campinas

Researcher / January, 2023 — December, 2023

PUCRS

Intern / March, 2014 — January, 2016

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (17)
Telecommunications
machine learning
neural networks
Computer Networks and Communications
Electrical and Electronic Engineering
And 12 more
About
I am a Researcher at the University of Campinas - Unicamp. I received both B.Eng. degree in Automation and Control Engineering and M.Sc. degree in Electrical Engineering from the Pontifical Catholic University of Rio Grande do Sul - PUCRS in 2016 and 2018, respectively. I received my Ph.D. degree in Electrical Engineering from Unicamp in 2022. My current research interests include digital communications systems, adaptive DSP, and machine learning.

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Krzysztof Wolk

Professor
Education

Ph.D., AI & NLP / February, 2016

Warsaw
Experience

Senior AI/NLP Researcher and Manager

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (28)
Machine Learning
AI
NLP
Multimedia
Control and Systems Engineering
And 23 more
About
I hold a PhD Eng. degree in computer science. I am a graduate of the Polish-Japanese Academy of Information Technology in Warsaw, POLAND. Currently, I am associate professor at the Cathedral of Multimedia at the same university. I lead and conduct scientific projects and research related to natural language processing and machine learning based on statistical methods and neural networks. I eagerly take up IT challenges and engage in interesting interdisciplinary projects, in particular related to HCI, UX, medicine, and psychology. In addition, as my profession, I have worked as a lecturer at the Warsaw School of Photography, and as an IT trainer. My specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications, and server products from Apple and Microsoft. As far as my didactic work is concerned, I lead classroom studies at the faculty of computer science and at the new media art department of the Polish-Japanese Academy of Information Technology and, in the past, I have also directed classes and lectures at the Warsaw School of Photography & Graphic Design. I am also an expert at the Polish National Agency for Academic Exchange, a member of the Polish Information Processing Society, and a member of the Polish Telemedicine and eHealth Society with Bene Meritus honor. Finally, I am a certified Microsoft, Apple, Adobe, w3schools, and EITCA specialist as well as being the Author of many scientific monographs and specialized IT books related to machine learning, administration of servers, and multimedia. I also engage as an editor of various specialized IT web portals such as in4.pl, pclab.pl, and e-biotechnologia.pl where I am author of training materials, guides, and hardware reviews. Some of my articles have also been published in iCoder Magazine and Komputer Świat magazine.

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Ruben Del-Rio-Ruiz

New Hampshire
13 Years Experience
Postdoctoral Scholar at Tufts University, specializing in the 3D design, fabrication, and assembly of biomedical devices, which includes wearable and flexible electronic platforms for communication and passive powering of devices.
Education

Universidad de Deusto

B.S. Degree on Electrical Engineering, Telecommunications / May, 2013

Bilbao

University of Deusto

M.S. Degree on Telecoomunications Engineering, Flexible RF electronics / May, 2015

Bilbao

University of Deusto

Ph.D on Engineering for the Information Society and Sustainable Development, Antennas and Propagation / May, 2021

Bilbao
Experience

Tufts University

Postdoctoral Scholar / March, 2021 — Present

Designing and fabricating medical devices such as microneedles, ingestible devices, thread-based electrochemical sensor platforms, as well as thread- and paper-based analytical sensing fabrication platforms and smart wearables. Expertise includes electromagnetics, planar antenna designs, energy harvesting systems, and the miniaturization of electronic and mechanical-based devices.

Universidad de Deusto

PhD Student / February, 2015 — March, 2021

University of Deusto

Research Assistant / January, 2011 — June, 2015

Developing engineering research-based projects involving the design, fabrication, and prototyping of PCB boards for a variety of applications.

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (22)
Biomedical devices
Ingestibles
Wearables
metamaterials
electromagnetics
And 17 more
About
**Education** Ruben Del-Rio-Ruiz is an electrical engineer specializing in biomedical engineering. He completed his B.S. in Electrical Engineering at the Universidad de Deusto in 2013 and pursued his M.S. in Telecommunications Engineering with a focus on Flexible RF Electronics at the same university, graduating in 2015. Recently, Ruben obtained his Ph.D. in Engineering for the Information Society and Sustainable Development from the University of Deusto in 2021, concentrating on wearable Antennas design and Propagation properties. **Experience** Throughout his academic journey, Ruben has garnered extensive experience in the field of telecommunications, with a specific emphasis on textile planar antenna design and in-body comunications. He has worked as a Research Assistant and a PhD Student at the University of Deusto. Additionally, he served as a Postdoctoral Scholar at Tufts University, where he combined his prior research acumen with the development of biomedical devices for rapid diagnosis and treatment of diseases. More specifically, he has protrotyped a variaty of ingestible devices as a tool to better understand the gut microbiome. **Purpose** Ruben's research is centered on creating innovative and sustainable solutions for biomedical devices. He has disseminated his findings through publications in various peer-reviewed journals and presentations at international conferences. Committed to advancing non-intrusive biomedical devices, their safety, and sustainable development, Ruben is dedicated to utilizing his knowledge and skills for this purpose.

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Ayse Oktay

9 Years Experience
Assoc. Prof., Yildiz Technical University
Education

Gebze Institute of Technology

PhD, Computer Engineering / July, 2011

Gebze

Fatih University

MS, Computer Engineering / September, 2006

Istanbul

Fatih University

BS, Computer Engineering

Istanbul
Experience

Université Libre de Bruxelles, Belgium

Yildiz Technical University, Istanbul, Turkey

Associate Professor / September, 2021 — February, 2024

Yapay Nazar Inc.

Data Scientist, co-founder / May, 2015 — June, 2022

 Visual Reality Based Physical Therapy and Rehabilitation System (2017-2022): Worked on several projects for computer-guided physiotherapy and serious games with various sensors with Becure Inc. Adopted machine learning and deep learning algorithms for monitoring patients. Developed a facial emotion recognition model.  Market Shelf Analysis (2012-2015): Co-founded a start-up named Yapay Nazar Inc. for detection and counting the FMCGs in retail shelves using machine learning and image processing methods. Developed a mobile application for shelf detection and FMCG detection.  Managed a team of 5 employees.

Most Relevant Research Expertise
Hardware and Architecture
Other Research Expertise (35)
Medical image analysis
Computer vision
Machine learning
Pattern recognition
Data science
And 30 more
About
Experienced academic and researcher specializing in data science and computer vision, with a proven track record in academia and industry. Proficient in Computer Vision, Machine Learning, and Image Processing, with published many works recognized by over 1000 citations in peer-reviewed publications. Proven ability to collaborate effectively within multidisciplinary teams to tackle complex problems and deliver innovative solutions.  Advocate for teamwork, effective communication, and mentorship.

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Example Hardware and Architecture projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Hardware and Architecture?

Optimizing Data Center Infrastructure

A Hardware and Architecture expert can analyze and optimize the infrastructure of a data center, ensuring efficient use of resources, reducing energy consumption, and improving overall performance.

Designing High-Performance Computing Systems

Collaborating with a Hardware and Architecture researcher can help in designing and developing high-performance computing systems for tasks such as scientific simulations, data analysis, and machine learning.

Implementing IoT Solutions

An expert in Hardware and Architecture can assist in implementing Internet of Things (IoT) solutions by designing efficient hardware architectures, ensuring secure communication, and optimizing power consumption.

Developing Embedded Systems

Working with a Hardware and Architecture specialist can aid in the development of embedded systems for applications like automotive, aerospace, medical devices, and industrial automation.

Enhancing Cloud Infrastructure

Collaborating with a Hardware and Architecture expert can help in enhancing the performance, scalability, and reliability of cloud infrastructure, enabling efficient resource allocation and cost optimization.