Data Mining Expert Witnesses

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What is a data mining expert witness?
Data mining expert witness candidates typically have extensive experience and background in software engineering, big data, machine learning, digital forensics, computer science, software, data science, and/or have specialized knowledge in data mining. Data mining specialists need to have both technological skills and business intelligence, developed through both coursework and experience. Specialization in healthcare, finance, education, retail, telecommunications, or insurance provide additional areas of expertise for data mining.
What types of cases require a data mining expert witness?
A subfield of computer science, data mining is a process used to turn raw data into useful information by using software to discover patterns in a large data set. Data mining connects machine learning, statistics, and databases. Data mining software builds machine learning models that power applications such as search engine technology and website recommendation programs.
Many industries and applications can benefit from data mining. In the business world, data mining software can analyze historical information, including market analysis, fraud detection, consumer behavior, and purchase trends. Data mining is also used in the areas of science and engineering, such as for bioinformatics, genetics, medicine, and education. Spatial data mining finds data patterns with respect to geography, and can work together with Geographic Information Systems (GIS) technology.
Matters that require an expert in data mining can relate to the ethics of the data being collected, stored, and retrieved such as pharmaceutical and medical data on patients and their conditions. Ownership of mined data and consent to retrieve that data can have legal implications. Often, matters requiring data mining expert witness work involve patent infringement litigation.
What litigation support work might a data mining expert witness be expected to perform?
Expert witness services by a data mining expert witness could include research and authoring expert reports, providing expert opinions, and/or expert testimony. In a high-profile case, or litigation involving a significant financial stake, an attorney may require a testifying expert with prior expert witness testimony experience. In addition, clients often seek an industry expert for pre-litigation consulting work. While many experts have data mining expertise, an expert witness carries the additional responsibility of providing testimony before the court in a manner whereby lay people can understand the technology and evidence.
Cahn Litigation Services has the experience required to turn a search for a data mining expert witness around quickly, providing the right balance of expertise and testimony experience.
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Data Mining 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.
The below expert witness bios represent a small fraction of those Data Mining experts known by Cahn Litigation Services. These bios are provided to give lawyers a sense of the Data Mining landscape.
Expert Witness #208783
This expert holds a Ph.D. in Information Studies. This expert has a very deep understanding of search and IR systems. This expert has extensive prior litigation experience as a testifier and written over a dozen (non)-infringement reports, including some for search engine companies.
This expert is a consultant specializing in software research and development focusing on search systems, information analytics, user experience design, semantic and knowledge management technologies as well as intellectual property analysis. This expert specializes in:
- The Semantic Web- Information Seeking and Web Use- Information Retrieval and Web Search- Collaborative Filtering (Recommender Systems)- Knowledge Management Systems- Knowledge Discovery in Databases (including Data Mining)- Human Computer Interaction (HCI)- Informetrics, Analytics and Behavioral Log Analysis- Computer Supported Collaborative Work (CSCW)This expert has also performed an exploratory study investigating the purchasing of sponsored search advertising for a major university's academic department. The ad campaign used Google's AdWord service with the goal of increasing awareness of the academic department and encouraging potential graduate admissions or admissions inquiries. A behavioral model of information seeking is suggested that could be applied for selecting appropriate types of online advertising for awareness and other advertising goals.
This expert was a professor in the School of Information at a University where teaching and research focused on designing Web information architectures, information systems analysis, Information Retrieval, the Semantic Web and Knowledge Management Systems. This expert is formerly the Director of Advanced Development at a company that specialized in personalized information retrieval applications. This expert is also an author of many research publications. This expert received a doctorate focusing on Knowledge Discovery (Data Mining) for Informetric and Behavioral Models of Web Use.
In the nascent days of the World Wide Web, this expert was a Lead Technical Architect, working on a Multimedia Encyclopedia and other large-scale information architecture, system architecture and development projects. This expert worked as a Methodologist designing CASE tools for client-server applications as well as doing usability, hypertext and multimedia development research. This expert also worked on a number of commercial software applications.
Start Data Mining Expert SearchExpert Witness #218338
This expert holds a Ph.D. in Computer Science and is a Professor in the Department of Computer Science at a major university. This expert's current research interests are at the intersection of databases and artificial intelligence, including optimization. This expert has a great deal of expertise in the dialog systems component that models the series of voice interfaces, facilitating occurring interactions. Voice dialogs form one of many mechanisms through which a user can interact with interactive multimedia presentation systems (IMPS), and over the years, this expert has worked extensively with IMPS and written several papers on this subject. This expert is author of one of the best known books on multimedia databases, as well as one on advanced databases, a key component to all dialog systems. This expert is the named inventor of a patent pertaining to mining user interactions. In addition, this expert has worked extensively in the general area of data mining for a wide variety of human behavior modeling. As an expert witness, this expert has experience with both invalidity and infringement issues, has written associated reports and has served as a technical expert in front of the USPTO.
Start Data Mining Expert SearchExpert Witness #255343
This expert is an Associate Professor of Information Science and an affiliate member of Computer Science at a University. This expert's research interests include studies of interactive information retrieval/seeking, especially those involving social and collaborative aspects. This expert studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. This expert teaches in Information Science and Data Science programs (at undergraduate and graduate levels), and this expert's research falls under and uniquely connects Computer Science, Data Science, and Information Science.
This expert received a PhD in Information Science, an MTech, Computer Science & Engineering, and an MS, Computer Science. This expert has published and talked extensively on topics related to social and collaborative information seeking, interactive information retrieval, and social media. This expert has served as a consultant to an international organization on various Data Science projects involving social and political issues, peacekeeping, climate change, and energy.
This expert is interested in various aspects of information seeking/retrieval, in personal, group, and social contexts. In addition to looking at information being generated and shared in online environments as a part of Information Science, this expert investigates ways to collect and transform data to meaningful information under the broad label of Data Science. This involves Big Data analytics, mobile and sensor-based data collection, and data mining and machine learning techniques. Finally, this expert is interested in investigating how data, information, and knowledge influences people's, organizations', and communities' behaviors as a part of what this expert refers to as Decision Science. This expert tries to keep a balance between studying systems and users, designing algorithms and theories, and building tools and conducting user studies.
Start Data Mining Expert SearchExpert Witness #209442
This expert holds a Ph.D. in computer science and is the co-founder of a leading software and technology consulting firm and a lecturer and researcher at a University. This expert provides advice on technical, business, and intellectual property strategy to e-commerce startups and also works as an expert witness on patent infringement cases. This expert’s research interests include electronic commerce, interoperability of heterogeneous databases, database integration, object-oriented databases, database implementation, databases on parallel computers, federated autonomous databases, database views including updates, incomplete information and nulls, software integration and reuse, and large system integration.
This expert has been:
Chief Technical Advisor of a software company, which was the technology leader in the Transactional Application Server market, providing a foundation for distributed computing. This company accelerated the development and deployment of high-performance distributed systems.
Co-Founder, COO and CFO of a company that developed applications for the business to business e-commerce market. Its applications address the challenge of creating, operating, and maintaining industry catalogs for Internet market makers.
Advisor to a company that created an integrated demand profit management system that captures real-time demand data and through patent-pending applications determines optimum inventory allocation and replenishment drivers in high velocity value chains.
Co-inventor of technology for a "do not spam" registry. This technology was licensed.
Co-founder of a company which provided free Internet access to hotel guests through their in-room Internet Appliance with proprietary software using a custom advertising delivery system.
Co-Founder and co-inventor of a startup that offered targeted promotions based on its purchase mining technology.
This expert managed a University’s efforts on collaborative engineering, workflow, and database security and coordinated relationships with industry. This expert was project manager for an effort that included research on searchable online catalogs, providing services over the Internet, and concurrent engineering. This expert collaborated on a project on integration of heterogeneous databases for information finding and distributed constraints, and collaborated on a project on version and configuration management and distributed constraints for collaborative design. This expert previously managed a project on interoperability of object-oriented and relational databases, a project on federated autonomous databases, a project performing research on databases on parallel computers, and the development of a formally specified, modular database system that includes multiple interfaces at multiple levels as well as support for database security and integrity.
Start Data Mining Expert SearchExpert 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.
Start Data Mining Expert SearchExpert Witness #259700
This expert holds a PhD in Computer Science, serves as an Associate Professor for a College of Information Systems as well as director of a Human-Computer Interaction Lab. Specializing in web, privacy and social media, this expert's work began professionally as a web designer. This expert started a web design company that built commercial websites. Since moving to academia, this expert has taught web design and web programming and written a textbook on web design.
This expert's work spans many areas, but core research interests are in understanding how people use social media to improve the way they interact with information. This expert approaches this from a computer science perspective and this expert's general research hits social networks, trust, web science, artificial intelligence, and human-computer interaction. This expert has done a lot of work looking at how to infer information about people (like personality and political preferences) and their relationships (like trust) from social media. This expert also works on usable security, bringing HCI to the design of security and privacy systems.
Areas of Expertise include:
- Social Media- Social Networks- Information Organization- Web Sciences- Recommender Systems- Code analysis and review- Semantic Web and Big Data- Human-Computer Interaction- Online PrivacyThis expert has extensive experience as an expert witness analyzing intellectual property issues, including patent validity and infringement and prior art. This expert has work as a technical expert, both pre-trial and in trial, on the workings of most major social media systems and recommender systems as well as the history and development of the web, web science, social networks, and social media.
Start Data Mining Expert SearchExpert Witness #225868
This cellular technologies expert holds a PhD and is internationally recognized in high-speed communication and computing, as well as the development of semiconductor devices for related applications. Before joining a well-regarded university, this expert spent a number of years at a telecommunications research organization as a lead systems engineer helping regional telephone companies transition from voice-centric networks to multi-service networks suited for the Internet era. This expert received an outstanding achievement award for those contributions. This expert designed one of the earliest nationwide, commercial-scale code division multiple access, or CDMA, networks after winning a cellular communication license through a highly competitive national selection process, and was the leading author of the technical blueprint for that wireless cellular network. Since then, this expert has continuously researched 3G UMTS, 4G LTE, 5G IoT wireless networks, and various generations of WiFi technology. During that work, this expert's team used RF coverage software to optimize base station placement on a nationwide scale. This expert later worked closely with several U.S. carriers to design metro-scale radio access networks.
This expert's research areas include switching, routing, performance control, and security in communication networks. This expert and associated researchers invented and implemented methods of high-performance switching, including multi-channel switches that alleviate the speed and performance constraints of electronic switches. The pattern-matching engines developed by this expert's research group are used for processing complex instructions embedded in communication packets at billions of packets per second. The content search engine developed by this expert's research group has been incorporated into numerous cybersecurity systems in active networks and is being developed for machine learning and data mining in applications including cybersecurity and the Internet of Things (IoT).
This expert is also actively involved in the development of virtualized cluster computing networks and has developed algorithms to control code downloading from network servers to end-user units. Based on these algorithms, applications running on smartphones and portable devices can run much faster without consuming excessive battery power. By quantifying information related to usage patterns, large amounts of user data can be stored, helping improve mobile applications significantly.
This expert also focuses on future generations of wireless technology and has developed methods that enable coordinated transmission and reception of wireless signals among multiple base stations. Previously, radio signals from multiple base stations were considered interference. Leveraging this research, a cluster of base stations can work together as a single resource, enhancing the quality of radio signals across extremely noisy wireless channels. This research is critical in accommodating the next generation of the Internet and wireless networks, which integrates numerous Internet of Things (IoT) devices as part of intelligent networks. This expert holds multiple U.S. patents, has published extensively in the wireless and network fields, and has founded and managed multiple companies.
This expert is a highly experienced expert witness and litigation consultant. This expert has testified extensively in both state and federal courts on issues of patent and copyright infringement in communications technology.
Start Data Mining Expert SearchExpert 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.
Start Data Mining Expert SearchExpert Witness #279533
This fuel expert is a Professional Engineer (PE) with B.Sc. and M.Sc. degrees in Mechanical Engineering and expertise in bulk material handling. This expert has deep experience in the supply, handling, storing, blending, and processing of a wide range of bulk materials, including work involving ports and terminals, power, transportation, mining, steel, and process industries. A prior leadership role included chairing a technical committee focused on fuels handling, transportation, and storage.
A majority of this expert's projects have involved power-generating utilities, ports, and transfer terminals. Fuel is the single largest operating cost for a power plant, and the total cost contribution depends on fuel characteristics, including Btu content, unit dispatch, unit cycling, and heat rate. Fuel cost can exceed sixty percent of the operating cost for a plant. A fossil-fueled power plant converts the chemical energy of fuel to thermal energy to produce steam in a boiler and then mechanical energy rotating the steam turbine. In a combustion turbine and diesel generator, chemical energy is directly converted into mechanical energy. Fuel quality is a critical parameter for combustion and emissions.
This expert's work has concentrated on solid fuels, which are much more variable and difficult to handle, process, and combust than liquid fuels, although the primary concerns are similar. Crude oil is refined to improve its properties by removing sulfur, tar, and other components. Refineries vary and may be constructed to service regional or country-specific regulations. A refinery produces a number of products that must be separately stored and transferred. The bottom of the barrel, so to speak, becomes petroleum coke, a solid fuel. Project work has included petroleum coke and refinery-related issues. Refined oil is typically transferred by ships, pipelines, barges, and rail, while ports and transfer terminals store fuel along its transport route. Contaminants such as water, bacteria, and assorted particles can be introduced at these locations. The details of tank storage construction, spillage prevention and protection, handling protocols and data logging, and valve transfer options at each transfer location can be important.
This expert was responsible for a fuel oil handling facilities inspection program at over 10 plant locations receiving oil by vessel or barge. The investigation included modernization or repair of marine structures, fire protection, electrical systems, oil spill prevention, and communication systems, along with review of technical data for a leak detection system. Work has also included evaluating system requirements to convert a power plant from conventional fuel oil to an emulsified bitumen-and-water alternative fuel product. The spillage and dispersion properties of that type of alternative fuel are a more significant concern than conventional fuel oil because it cannot be contained by typical oil spill methods.
This expert is an experienced expert witness and litigation consultant.
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