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Abstract coming soon...

Moderator

Author:

Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

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Sally Ward-Foxton

Senior Reporter
EETimes

Sally Ward-Foxton has been writing about the electronics industry for more than a decade. As a freelance journalist she has published articles in EE Times, Electronic Design Europe, Microwaves & RF, ECN, Electronic Specifier: Design, IoT Embedded Systems, Electropages, Components in Electronics and many more. She also supplies technical writing and ghostwriting services to several of Europe's leading PR agencies. She holds a Masters' degree in Electrical and Electronic Engineering from the University of Cambridge, UK.

Panellists:

Author:

Jim Keller

CEO
Tenstorrent

Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.

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Jim Keller

CEO
Tenstorrent

Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.

Author:

Raja Koduri

Board Member
Tenstorrent
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Raja Koduri

Board Member
Tenstorrent

Author:

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.

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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.

Author:

Laurent Moll

Chief Operating Officer
Arteris

Dr. Laurent Moll most recently served as Vice President of Engineering at Qualcomm where he led a 500-person team creating infrastructure IP for Qualcomm’s chips, including NoC interconnects, memory subsystems, cache coherency subsystems and more. Laurent has led a storied career for over two decades, performing key technical roles at industry leaders such as Digital Equipment Corporation, Compaq Computer Corporation, SiByte, Broadcom, Montalvo Systems and NVIDIA. Prior to his nearly 8-year tenure at Qualcomm, he was the Chief Technology Officer at Arteris Inc, a predecessor company of Arteris. Throughout his career, he has played an influential role in inventing the system-on-chip architectures, IP subsystems, and methodologies that are today the foundation of modern semiconductor design. Laurent earned his PhD in Computer Science at École Polytechnique and holds over 60 patents on various aspects of SoC technology.

 

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Laurent Moll

Chief Operating Officer
Arteris

Dr. Laurent Moll most recently served as Vice President of Engineering at Qualcomm where he led a 500-person team creating infrastructure IP for Qualcomm’s chips, including NoC interconnects, memory subsystems, cache coherency subsystems and more. Laurent has led a storied career for over two decades, performing key technical roles at industry leaders such as Digital Equipment Corporation, Compaq Computer Corporation, SiByte, Broadcom, Montalvo Systems and NVIDIA. Prior to his nearly 8-year tenure at Qualcomm, he was the Chief Technology Officer at Arteris Inc, a predecessor company of Arteris. Throughout his career, he has played an influential role in inventing the system-on-chip architectures, IP subsystems, and methodologies that are today the foundation of modern semiconductor design. Laurent earned his PhD in Computer Science at École Polytechnique and holds over 60 patents on various aspects of SoC technology.

 

AI and security workloads are clearly driving next-generation SoC architecture innovations. These architectures need higher performance, and more memory per processing element as technology process nodes advance.  However, memories are scaling at smaller rates than the processing elements but the workloads are demanding more memory per processing element leading to a memory wall -- there must be technology disruptions.  Off-chip memory offers performance gains, but AI workloads require more efficient and higher density memories per processing element. One clear solution has been multi-die systems, leveraging more on-chip memories at higher bandwidths and improved densities.  This presentation will explore these memory and IO innovations and will showcase several real-world case studies on the development of multi-die systems to meet the AI performance and memory challenges.

 

Author:

Ron Lowman

AI Strategic Marketing Manager
Synopsys

Ron Lowman joined Synopsys in 2014 and is currently the AI Strategic Marketing Manager for the Solutions Group. Ron is responsible for driving Synopsys’ Artificial Intelligence market IP initiatives, including strategic business and market trend analysis.

Prior to joining Synopsys, Lowman spent 16 years at Motorola/Freescale in Controls Engineering, Automotive Product & Test Engineering, Product Management, Business Development, Operations, and Strategy Roles.

Ron holds a Bachelor of Science in Electrical Engineering from Colorado School of Mines and an MBA from the University of Texas in Austin.

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Ron Lowman

AI Strategic Marketing Manager
Synopsys

Ron Lowman joined Synopsys in 2014 and is currently the AI Strategic Marketing Manager for the Solutions Group. Ron is responsible for driving Synopsys’ Artificial Intelligence market IP initiatives, including strategic business and market trend analysis.

Prior to joining Synopsys, Lowman spent 16 years at Motorola/Freescale in Controls Engineering, Automotive Product & Test Engineering, Product Management, Business Development, Operations, and Strategy Roles.

Ron holds a Bachelor of Science in Electrical Engineering from Colorado School of Mines and an MBA from the University of Texas in Austin.

 

Heather Fowler

Director, Producer and Public Health
National Pork Board

Heather Fowler

Director, Producer and Public Health
National Pork Board

Heather Fowler

Director, Producer and Public Health
National Pork Board

Trends in cloud and HPC systems design are converging in the field of ML. As demands for ML compute performance continue to grow, certain trends are dictating systems design choices. Increasing server and rack density is a tried-and-tested tool for driving performance, but results in extreme heat, while packing GPUs and ASICs into AI servers is an inefficient long-term solution when memory bandwidth limits the total amount of FLOPS available at any moment. Some fairly fundamental re-designs are needed in the ML systems space, and this panel will examine what the next generation of systems will look like, what benefits they will bring, and how to get there.

Moderator

Author:

Drew Matter

President & CEO
Mikros Technologies

Drew Matter leads Mikros Technologies, a designer and manufacturer of best-in-class direct liquid cold plates for AI/HPC, semiconductor testing, laser & optics, and power electronics.  Mikros provides leading microchannel thermal solutions in single-phase, 2-phase, DLC and immersion systems to leading companies around the world. 

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Drew Matter

President & CEO
Mikros Technologies

Drew Matter leads Mikros Technologies, a designer and manufacturer of best-in-class direct liquid cold plates for AI/HPC, semiconductor testing, laser & optics, and power electronics.  Mikros provides leading microchannel thermal solutions in single-phase, 2-phase, DLC and immersion systems to leading companies around the world. 

Panellists

Author:

Greg Stover

Global Director, Hi-Tech Development
Vertiv

With more than 30 years of experience in data center efficiency optimization with large data center enterprise operators and industry leading VARs/Resellers, Greg champions the successful leveraging and utilization of Vertiv’s amazing and constantly evolving portfolio of thermal, power, monitoring & management solutions for the hyperscale, colocation, on-prem, DR and edge IoT ecosystems.

As a data center efficiency optimization enthusiast, Greg has a proven track record of bringing leading and bleeding edge cooling, power, monitoring and DCIM solutions and tools through introduction, implementation and successful execution, while staying keenly focused and aligned with client/enterprise/edge operator’s goals & objectives. Greg is a frequent presenter at industry conferences, trade shows and Integrator/VAR/Partner training events.

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Greg Stover

Global Director, Hi-Tech Development
Vertiv

With more than 30 years of experience in data center efficiency optimization with large data center enterprise operators and industry leading VARs/Resellers, Greg champions the successful leveraging and utilization of Vertiv’s amazing and constantly evolving portfolio of thermal, power, monitoring & management solutions for the hyperscale, colocation, on-prem, DR and edge IoT ecosystems.

As a data center efficiency optimization enthusiast, Greg has a proven track record of bringing leading and bleeding edge cooling, power, monitoring and DCIM solutions and tools through introduction, implementation and successful execution, while staying keenly focused and aligned with client/enterprise/edge operator’s goals & objectives. Greg is a frequent presenter at industry conferences, trade shows and Integrator/VAR/Partner training events.

Author:

Dudy Cohen

VP Product Marketing
Drivenets

Dudy is a qualified manager and technology expert, with more than 30 years of experience in the networking industry. As a senior AI networking expert, he partners closely with the product and engineering teams to shape DriveNets’ vision for AI Networking, helping to deliver the high performance of a proprietary solution with a standards-based Ethernet implementation that provides unrivaled performance. Previously, Dudy served as the VP of Product Marketing at Ceragon. He also served as a Director of Solutions Engineering at Alvarion Ltd. Dudy holds an M.Sc.-E.E degree from the Tel Aviv University.

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Dudy Cohen

VP Product Marketing
Drivenets

Dudy is a qualified manager and technology expert, with more than 30 years of experience in the networking industry. As a senior AI networking expert, he partners closely with the product and engineering teams to shape DriveNets’ vision for AI Networking, helping to deliver the high performance of a proprietary solution with a standards-based Ethernet implementation that provides unrivaled performance. Previously, Dudy served as the VP of Product Marketing at Ceragon. He also served as a Director of Solutions Engineering at Alvarion Ltd. Dudy holds an M.Sc.-E.E degree from the Tel Aviv University.

Author:

Albert Chen

Solutions Architect
Amphenol
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Albert Chen

Solutions Architect
Amphenol

Author:

Akhil Vaid

Instructor, Division of Data-Driven and Digital Medicine
Icahn School of Medicine Mt. Sinai

Akhil Vaid, MD, is a distinguished Instructor at the Division of Data Driven and Digital Medicine (D3M), Department of Medicine at the Icahn School of Medicine at Mount Sinai. Renowned for his expertise as a physician-scientist, Dr. Vaid's work navigates the intriguing intersection of medicine and technology, with a resolute commitment to foster democratized healthcare through the power of machine learning.

 

After obtaining his medical degree from one of India's eminent medical colleges, Dr. Vaid served patients across diverse socio-economic landscapes. This unique exposure catalyzed his conviction that true healthcare equity could only be achieved through machine learning and artificial intelligence. Consequently, he ventured into the intricate domains of multi-modal machine learning, specializing in deep learning with ECGs, federated learning, Natural Language Processing, and deriving valuable insights from the Electronic Healthcare Record.

 

Before his current role at the Icahn School of Medicine at Mount Sinai, Dr. Vaid honed his clinical skills and amassed a wealth of experience in the Indian healthcare system. His medical journey is punctuated by his relentless quest for innovation, illustrated by his extensive contributions to the rapidly evolving field of digital medicine.

 

Dr. Vaid is the author of 54 scientific publications, esteemed contributions to esteemed medical journals, including Nature Medicine, the Annals of Internal Medicine, and NPJ Digital Medicine. His work is reflective of his profound understanding of medicine and technology and their potential in transforming patient care. His projects, backed by significant grants, encompass multiple facets of informatics, data science, and machine learning in medicine.

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Akhil Vaid

Instructor, Division of Data-Driven and Digital Medicine
Icahn School of Medicine Mt. Sinai

Akhil Vaid, MD, is a distinguished Instructor at the Division of Data Driven and Digital Medicine (D3M), Department of Medicine at the Icahn School of Medicine at Mount Sinai. Renowned for his expertise as a physician-scientist, Dr. Vaid's work navigates the intriguing intersection of medicine and technology, with a resolute commitment to foster democratized healthcare through the power of machine learning.

 

After obtaining his medical degree from one of India's eminent medical colleges, Dr. Vaid served patients across diverse socio-economic landscapes. This unique exposure catalyzed his conviction that true healthcare equity could only be achieved through machine learning and artificial intelligence. Consequently, he ventured into the intricate domains of multi-modal machine learning, specializing in deep learning with ECGs, federated learning, Natural Language Processing, and deriving valuable insights from the Electronic Healthcare Record.

 

Before his current role at the Icahn School of Medicine at Mount Sinai, Dr. Vaid honed his clinical skills and amassed a wealth of experience in the Indian healthcare system. His medical journey is punctuated by his relentless quest for innovation, illustrated by his extensive contributions to the rapidly evolving field of digital medicine.

 

Dr. Vaid is the author of 54 scientific publications, esteemed contributions to esteemed medical journals, including Nature Medicine, the Annals of Internal Medicine, and NPJ Digital Medicine. His work is reflective of his profound understanding of medicine and technology and their potential in transforming patient care. His projects, backed by significant grants, encompass multiple facets of informatics, data science, and machine learning in medicine.

 

Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish N. Nadkarni, MD, MPH, is the Irene and Dr. Arthur M. Fishberg Professor of Medicine at the Icahn School of Medicine at Mount Sinai. As an expert physician-scientist, Dr. Nadkarni bridges the gap between comprehensive clinical care and innovative research.

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Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish N. Nadkarni, MD, MPH, is the Irene and Dr. Arthur M. Fishberg Professor of Medicine at the Icahn School of Medicine at Mount Sinai. As an expert physician-scientist, Dr. Nadkarni bridges the gap between comprehensive clinical care and innovative research. He is the System Chief of the Division of Data Driven and Digital Medicine (D3M), the Co-Director of the Mount Sinai Clinical Intelligence Center (MSCIC) and the Director of  Charles Bronfman Institute for Personalized Medicine. 

Before completing his medical degree at one of the top-ranked medical colleges in India, Dr. Nadkarni received training in mathematics. He then received a master’s degree in public health at the Johns Hopkins Bloomberg School of Public Health, and then was a research associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in internal medicine and his clinical fellowship in nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in personalized medicine and informatics. 

Dr. Nadkarni has authored more than 240 peer-reviewed scientific publications, including articles in the New England Journal of Medicine, the Journal of the American Medical Association, the Annals of Internal Medicine and Nature Medicine. Dr. Nadkarni is the principal or co-investigator for several grants funded by the National Institutes of Health focusing on informatics, data science, and precision medicine. He is also one of the multiple principal investigators of the NIH RECOVER consortium focusing on the long-term sequelae of COVID-19. He has several patents and is also the scientific co-founder of investor-backed companies—one of which, Renalytix, is listed on NASDAQ. In recognition of his work as an active clinician and investigator, he has received several awards and honors, including the Dr. Harold and Golden Lamport Research Award, the Deal of the Year award from Mount Sinai Innovation Partners, the Carl Nacht Memorial Lecture, and the Rising Star Award from ANIO.

Abstract coming soon...

Author:

Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

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Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Abstract coming soon...

Author:

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

 

... read more

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

 

Author:

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

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Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

 

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

Read full bio

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

 

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

Read full bio

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.