Machine Learning Expert Witnesses

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What is a machine learning expert witness?

A subset of artificial intelligence, machine learning uses computer algorithms to automatically improve a decision or function through experience. As such, machine learning expert witness candidates typically have extensive experience and knowledge in computer science, data science, neural networks, and/or artificial intelligence.

What types of cases require a machine learning expert witness?

Machine learning matters that require technical expertise typically involve intellectual property,  data analysis, or cybersecurity.

There are many applications for machine learning, a small sampling of which include:

• computer vision,
• credit-card fraud detection,
• data quality,
• economics,
• robotics,
• financial market,
• handwriting recognition,
• marketing,
• medical diagnosis,
• natural language processing,
• search engines,
• syntactic pattern recognition, and
• user behavior analytics.

What litigation support work might a [i] expert witness be expected to perform?

Litigation support by a machine learning expert witness could include a review of the technology, data analytics, document review, an expert report, depositions, expert opinion, and expert witness testimony in the courtroom.

Cahn Litigation Services is frequently called upon by legal professionals to locate expert witnesses that can support machine learning matters. The firm has an earned reputation for providing candidates with the right balance of expertise and testimony to support each project and it nuances.

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Machine Learning Expert Witness - Representative Bios

Please Note: All Cahn Litigation expert witness searches are customized to attorneys' precise specifications and preferences. Attorneys are encouraged to discuss search parameters with a Cahn search specialist.

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The below expert witness bios represent a small fraction of those Machine Learning experts known by Cahn Litigation Services. These bios are provided to give lawyers a sense of the Machine Learning landscape.

• Expert Witness #245424

  This expert has worked in Language Technologies on the faculty at a prestigious university, where this expert is a Professor and directs the Language Technologies Institute. This expert conducts and leads research on all manners of computer-based language communication and processing including: speech understanding and synthesis, text-based communication, text semantic analysis and content extraction, machine translation, written or spoken dialog systems, parsing technologies and machine learning applied to text. This expert has published over three hundred scholarly articles. This expert has testified as an expert witness in multiple IP cases involving language technologies, including for and against industry leaders both in validity and infringement.

  
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• Expert Witness #250332

  This expert holds a Ph.D. This expert's Doctoral thesis was on Learning Control and Neural Network Learning. This expert has conducted research and development in the fields of Biometrics, Optimization, Pattern Recognition, Machine Learning, and Internet-Commerce. This expert's work has included research and development, leading to the production of a series of Speaker Recognition, Speech Recognition, Face Recognition, and Signature Recognition software engines. This expert is the author of a textbook on speaker recognition.

  This expert developed a procedure for the conversion of classically written articles into articles in Unicode-16. This included working with the editors of an encyclopedia, in detail, to design a character set based on Unicode to be able to handle hundreds of languages (modern and archaic). In addition, automation software was developed for the conversion of articles, while indexing and cross-referencing then automatically. This expert created search mechanisms for searching the articles in any of the many nonstandard transcription techniques used by the readers to transcribe the relevant languages. The mapping, search, and multiple transcription style mapping are quite complex. The indexing included automatic indexing plus keyword references created manually by editors and incorporated into the search and indexing.

  This expert has been an Adjunct Professor at the Computer Science department, as well as Mechanical Engineering and Electrical Engineering departments of a major University. This expert has been teaching the following graduate courses: Fundamentals of Speaker Recognition, Fundamentals of Speech Recognition, Digital Control Systems, Applied Signal Recognition and Classification, and Speech and Handwriting Recognition. This expert is also actively involved in several standards bodies.

  
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• Expert Witness #251608

  This expert received a B.A. in Mathematics and Computer Science, an M.A. in Computer Science, and a Ph.D. in Computer Science. This expert served as Chair of the Computer Science Department and is currently Full Professor of Computer Science and member of the university's Center for Complex Systems. This expert's research interests include computer algorithms, communications and internet related computing, data compression and archiving (including text, images, video, and multi-media), storage and processing of large data sets, image retrieval, object recognition, text, image, and video processing, parallel computing, machine learning. This expert has obtained U.S. patents, does computing technology consulting, and is widely published in the areas of data compression and content recognition. This expert has extensive prior litigation experience having served as a testifier (at deposition and/or trial) in several high-profile patent matters.

  
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• Expert Witness #259075

  This expert holds a Ph.D. in Computer Science and currently serves as an Associate Professor of Computer Engineering. This expert's research interests are code generation and optimization, compilers, and the interaction between hardware and software. The main goal of this expert's research is to make programs run faster and use less resources. This expert is interested in all aspect of compiler optimizations and transformations, both statically and dynamically. This expert specializes in code generation techniques that combine machine learning and architectural models to automatically deliver higher quality code, as well as compilers for non-traditional executing engines, such as SAT solvers and virtual machines.

  This expert has conducted research in the area of GPUs for many years. This expert's research covers several key aspects of GPU programming, including software development, code optimization, architecture and system software. This expert has published over 20 papers on GPU programming, and received two equipment grants to support his research.  

  
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• Expert Witness #259324

  This expert is a Professor of Computer Science & Engineering, and is internationally known in Human Computer Interaction for contributions to software tools that make new forms of interaction more broadly accessible. This expert's broad research interests are in Human-Computer Interaction, User Interface Software and Technology, and Ubiquitous Computing. This expert's specific research is often motivated by challenges at the intersection of technology and design, developing new tools that empower individuals in important domains like health.

  This expert's research includes novel applications of low-cost and unobtrusive personal sensing, novel applications of non-expert machine learning, and tools for runtime modification of graphical interfaces. This expert's work on non-expert interaction with machine learning considered domains such as activity recognition, image search, social network friend groups, and gesture recognition. These helped define new approaches to everyday interaction with big data and new approaches to machine learning in software developer tools. This work on runtime interpretation and modification of interfaces helps unlock interaction, enabling new approaches to deploying interaction techniques in the current technology ecosystem.

  
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• Expert Witness #259569

  This expert is a Research Professor in a Computer Science Department. This expert also has an appointment in a Language Technologies Institute and is Director of a Speech Consortium. This expert received a PhD in Cognitive Psychology (speech perception) and has since worked in the areas of automatic speech recognition, spoken language interaction and machine learning. This expert's research has spanned many aspects of spoken language, including knowledge-based recognition systems, language modeling, spoken language system architectures, multimodal interaction, the analysis of conversational structure, and design principles for speech interfaces. This expert's interests center on language-based communication between humans and robots and on aspects of core speech recognition, such as out-of-vocabulary (OOV) word processing. This expert has investigated the rapid prototyping of systems for speech-to-speech translation, spoken dialog, and has made contributions to dialog management, language generation and the computation of confidence metrics for recognition and understanding. This expert is interested in spoken language interaction in groups that include humans and robots. Making this a reality requires developing dialog strategies that can handle multi-participant conversations; it also requires understanding the process of dialog-mediated grounding as well as developing techniques that allow robots understand and clarify human directions. This expert is interested in several aspects of learning, including the induction of concepts and structure from speech and the design of intelligent systems that proactively seek to acquire knowledge from people.

  This expert's work includes:

  -  A project that produced an early mobile speech system

  -  spoken dialog system architectures

  -  A dialog manager that incorporates dialog management ideas that were first introduced in the Office Manager (OM) system and further developed in successor systems.

  -  web-based tools that are used to generate a knowledge base for the open source Sphinx recognition system, including a language model and a pronouncing dictionary

  This expert has had one expert witness experience where this expert wrote an expert report and was deposed.

  
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• Expert Witness #260966

  With many years in the industry, this expert is an independent software developer and strategy consultant for engineering and construction firms. This expert's work currently entails using non-AEC industry tech and applying it to the built environment. This includes the use of deep reinforced learning, machine learning, and computer vision, as well as game engines. Because of this focus, this expert does code review and analysis, reviewing outside code to evaluate its fitness for application to AEC-client problems.

  
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• Expert Witness #262723

  This expert is an internationally recognized technical and business leader in the fields of point-to-point, point-to-multipoint, cryptographic security, broadband and network system, and entrepreneurial development. This expert has many years of experience in wireless system development and product development.

  This expert is the creator of video P2P for realtime and P2MP security applications, which are now the system standard for casinos and high value venue security. These systems use private as well as cellular backhauls employing licensed spectrum and high capacity long-range point-to-point microwave links. This expert is the named inventor of 67 granted patents and applications primarily in wireless, signal processing & processor, machine learning, and microelectronics. This expert holds a PhD. In Electrical Engineering, an MBA, and a BSEE - Electrical and Electronics Engineering. This expert has provided expert witness testimony on several matters.

  
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• Expert Witness #255351

  This expert holds a PhD in Computer Science and is an internationally recognized data science and machine learning expert. This expert has held various technical directorships, leads, and Chief Scientist positions for technology giants. Additionally, this expert has helped identify and evaluate investment opportunities, and assisted portfolio companies by providing strategic guidance and mentorship as well as led efforts around intellectual property -- which included successfully defending a company against patent trolls. This expert holds more than 30 patents in the areas of query, keyword, semantic, and other information retrieval searches and is well published in the field.

  
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• Expert Witness #220843

  This user interface/user experience expert holds a Ph.D. and has worked for over 30 years in academia and industry, focusing on computer vision, imaging, pattern recognition, machine learning, computer graphics, human-computer interaction, robotics, and augmented reality. This expert is a Professor Emeritus at a well-regarded university, has worked in these areas, and has taught undergraduate and graduate courses on related topics. Career accomplishments include various awards and election as a Fellow of prominent professional associations in computing, engineering, and pattern recognition. This expert holds a B.Sc. and M.Sc. in Electrical Engineering and a Ph.D. from a prestigious technical university program.

  This expert has background and expertise in human-computer interaction, with particular emphasis on interaction as well as working knowledge of design and software supported by a computer science background. Litigation experience includes patent infringement, patent validity, and statutory litigation involving computing technologies, including trial testimony regarding patent litigation. This expert has been involved in patent and statutory litigation regarding computing technologies for over 15 years, including over 40 cases, over 60 declarations and reports, over 15 depositions, and a number of trial testimonies in district court and arbitration. Most matters have related to patent infringement and validity. Academic and professional work has included computer vision, computer graphics, human-computer interaction, augmented and virtual reality, and machine learning, with experience teaching undergraduate and graduate courses and advising graduate students in these topics and related areas. Work in HCI and AR/VR has included UI/UX research and implementations.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #238606

  This algorithmic curation expert holds a PhD and is an internationally recognized scholar in AI, machine learning, personalization, and recommender systems, with over 180 papers published on these and related topics. This expert has served as editor-in-chief of a prominent professional journal focused on management information systems and regularly participates in organizing and program committees for leading data science, personalization, recommender systems, data mining, and information systems conferences, including leadership roles with prominent conferences in recommender systems and data mining.

  This expert has also served as an advisor to several technology companies, including board advisory roles for companies in areas such as analytics, software, online trust, education technology, and related technology markets.

  
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• Expert Witness #260246

  This GUI/iPhone accessibility expert holds a Ph.D. in Computer Science and Engineering, completed dissertation work in machine learning, and has over 20 years of industry and academic experience.

  This expert has experience with both UX and UI (user experience and user interface) design and has created mobile applications. This expert led a federally funded machine learning research program and later was responsible for launching TV devices with global OEMs. This expert designed 3G wireless telecommunications systems for networks and launched a number of machine learning startups.

  This expert has litigation experience and has filed reports and testified at deposition in cases involving major technology companies.

  
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• Expert Witness #264202

  This natural language processing expert holds a Ph.D. and is an academic professor and senior academic administrator specializing in artificial intelligence, computer science, data science, machine learning, computational linguistics, and semantic analysis of natural language. This expert previously held senior computer science faculty and program leadership roles at a technology-focused university and holds an appointment as a fellow at a research foundation.

  This expert received a B.Sc. in Applied Mathematics from a well-regarded university and a Ph.D. in Computer Science from a prestigious university, with additional fellowship and postdoctoral fellowship experience. This expert's research focuses on semantic machine learning, mainly on developing computational methods for style-based analysis of natural language. This expert has published over 100 scientific articles on machine learning and computational linguistics and has co-edited books on computational methods in security-related analysis and stylistic structure.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #278708

  This cybersecurity expert holds a PhD, is a Computer Science professor, and has been involved in cybersecurity research since the mid-1990s, with teaching experience in cybersecurity since the late 1990s. This expert has expertise in network and host security monitoring, malware analysis, authentication, cryptography, and machine learning for security. This expert started a company focused on botnet detection and has testified in cases involving network and host security monitoring, including firewalls, intrusion detection, and alert correlation; malware analysis, including signature generation and updates and pattern matching; and machine learning applied to security, including learning new patterns and anomaly and behavior detection.

  This expert has worked on network attacks and defenses, including network intrusion detection, DNS monitoring, and malware analysis, and has significant experience with obfuscation techniques used by attackers, including IP address spoofing, malware packing and unpacking, and blending techniques. This expert is an experienced expert witness and litigation consultant who has been deposed a number of times and has testified at trial.

  
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• Expert Witness #278708

  This identifiable information/data privacy expert holds a PhD and is a professor at a well-regarded technical university, with over 30 years of involvement in cybersecurity research and over 25 years of experience teaching cybersecurity.

  This expert specializes in several areas, including network and host security monitoring, malware analysis, authentication, cryptography, and machine learning for security. This expert thoroughly understands data capturing, processing, and privacy-preserving authentication and surveillance. This expert has worked on privacy-preserving biometric-based authentication and surveillance, developing several prototypes and publishing several papers.

  This expert has researched privacy-preserving biometric-based authentication involving protection of personally identifiable information and has patents in these technologies.

  This expert is an experienced expert witness and litigation consultant.

  
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• Expert Witness #281397

  This expert is a professor and has 30 years of experience in various areas of data analytics, computer vision, and machine learning. This expert has extensively researched and published in the area of data analytics (both theory and applications, including statistical analysis) as well as sensor networks, and machine learning. This expert has worked on a project developing systems and methods for monitoring and optimizing the management of resources in a solar power generation network. This expert has experience on various modality of data (visual, text, audio) and has notably worked on GIS data analysis using various sensory systems (electro-optical, radar, IR, etc.), using different platforms (airborne satellite, and ground-based), with research either focused on data analysis or data fusion for various different applications. This expert has expert witness experience and has been involved in 13 patent matters, including six 6 IPR's.

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• Expert Witness #296651

  This agricultural engineering expert holds a B.Sc. and Ph.D. in Aerospace Engineering from a prestigious technical university and is an academic professor specializing in autonomous agricultural robotics, agricultural AI, machine learning, imaging sensors, and precision field operations.

  This expert holds a faculty role at a major public research university, leads autonomous farming research at a digital agriculture research center, and serves as a technology executive and co-founder of an agricultural robotics company. This expert has authored over 100 peer-reviewed publications in robotics and AI, with a significant portion addressing autonomous and vision/image-based systems in agriculture.

  This expert's research and commercial work over 10 years have focused on developing autonomous agricultural robots that integrate imaging sensors, AI, and machine learning to perform tasks such as weed detection, phenotyping, and precision field operations. This expert has served as an expert witness in prior IP litigation involving robotics and AI.

  
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• Expert Witness #297962

  This physiatry expert holds a D.O. and M.Sc. and serves in a director-level Physical Medicine & Rehabilitation role at a rehabilitation practice, with a focus on increasing the value of health care across practice settings.

  Rehabilitation work focuses primarily on orthopedic care, with additional experience in vestibular and concussion management. This expert has developed an extensive background in physical therapy, including pre-operative and post-operative care, along with an interest in improving patient quality of life through advanced technology, including AI and Machine Learning algorithms.

  
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• Expert Witness #302726

  This JavaScript/code review expert holds a PhD and has extensive experience in source code review, including reviews involving web technologies and JavaScript. This expert and associated technical teams have performed a large number of source code reviews, published research on source code analysis, worked as professional developers, taught software engineering, and provided testimony through declarations, reports, depositions, and trial appearances.

  This expert has worked extensively with B2B applications and software as a service, including work involving the medical industry. This expert has professionally developed machine learning and AI applications and has worked on litigation matters involving those technologies, including copyright and trade secret matters.

  This expert has substantial experience with Git and has helped develop protocols for recent AI-copyright litigation.

  
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