Computer Data Expert Witnesses

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Computer Data Expert Witness - Representative Bios

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

• Expert 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.

  
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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 #256912

  As a technology expert with many years of litigation experience in over 50 cases, including 17

  patent infringement cases and 25 IPR/CBM/GPR cases, this expert has authored reports and declarations, generated over 100 claim charts, inspected tens of millions of lines of source code, and examined numerous systems. This expert has a Master of Science in Computer Science as well as many years of experience in engineering, development, consulting, and management in data networking, monitoring, Web/Internet, software, and systems. This expert’s professional background includes cofounder of an Internet company providing human communication online rating and evaluation tools and services; cofounder and president of a provider of automated Web-based telecommunication test services; cofounder and CEO of an Internet eCommerce and portal company; general manager of data storage business unit and general manager of data networking business unit at a supplier of data storage and data networking systems; founder and president of a supplier of data storage manufacturing systems; and many years as telecommunication engineer and software developer.

  This expert has extensive experience with networking and test and monitoring systems. As general manager of a data networking business unit, this expert was responsible for a data networking analysis tools business unit that designed and built network protocol analysis and monitoring products sold, under OEM agreement, by the largest network protocol analysis and monitoring products supplier. These products, among other capabilities, could trap and record IP addresses and data packets matching criteria in the various layers of the TCP/IP stack.

  This expert designed data storage test systems and was involved with data storage protocol analyzers and monitoring products, including the best-selling data storage protocol analysis and monitoring products. For several years, as an engineer, this expert designed and implemented computer networks, data communication systems, test systems, and monitoring systems. This expert also has many years of experience in and deep understanding of Web/Internet technologies.

  This expert has litigation experience with several cases and IPRs involving data networking cases and monitoring. This expert worked for a year on a trade secret and copyright case dealing with data networking load balancers.

  
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• Expert Witness #250300

  This expert received a Ph.D in Electrical Engineering. Having worked as assistant, associate, and full professor in Electrical and Computer Engineering, this expert currently holds an Endowed Chair as Professor in Electrical and Computer Engineering. Specializing in cognitive radio networks, efficiency of wireless networks and systems, communication system design and signal processing, and design synergy between hardware and system software, this expert's current research interests focus on data driven large-scale information analysis and system design, distributed signal processing, data driven wireless system design, and cognitive network optimization. This expert is an active member of IEEE.

  
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• Expert Witness #212171

  This expert earned a PhD in Computer Science. This expert is President of a consulting firm specializing in technology assessment, development and implementation for small- and large-scale technology and internet companies.

  This expert’s Ph.D. dissertation involved computer speech, and work in computer speech goes back many years. This expert developed a number of digital video server products and continues work in that field through the present day. This expert also worked with a number of technologies involving encoding and decoding of video and with technologies to insert data into the closed captioning streams as well as the video blanking intervals of video streams.

  
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• Expert Witness #264209

  This expert is a Professor and Chair of Computer Science and Director of the Master of Data Science Program an Institute of Technology. This expert received a B.Sc. in Applied Mathematics and a Ph.D. in Computer Science. This expert’s research focuses on semantic machine learning, mainly on developing computational methods for style-based analysis of natural language. This expert’s work explores applications to intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship. This expert’s recent research projects include extracting structured representations of opinions from text, authorship profiling of anonymous texts, and evidence-based analysis of the medical literature, from large amounts of textual data. This expert has published over 100 scientific articles on machine learning and computational linguistics.

  This expert’s dissertation research was on machine learning and visual recognition for mobile robots. This expert has researched and published in peer-reviewed journals and conferences on machine learning, image recognition, classification, information extraction, and natural language processing. This expert has also worked as a consultant and advisor on commercial technology in machine learning, image recognition, information retrieval, natural language understanding, and automated question-answering. Recent projects worked or advised on include:

  • Research on neural networks and genetic algorithms for automatically analyzing and interpreting data collected from high-energy physics experiments.
  • Developing and evaluating improved deep learning neural network models for identifying images containing weapons.
  • Analyzing the state-of-the-art in text analytics and virtual agents and how ontological knowledge representation can improve it and be applied commercially.
  
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• Expert Witness #264978

  This expert is a computer scientist with many years of experience in Pattern Recognition and Machine Learning research. This expert’s research agenda focuses on applied machine learning, that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for this expert’s work is computational behavior analysis where this expert develops methods for automated and objective behavior assessments in naturalistic environments. Main driving functions for this expert’s work are "in the wild" deployments and as such the development of systems and methods that have a real impact on peoples’ lives.

  This expert’s research is focused on developing methods for sensor-based behavior analysis in which mobile and ubiquitous computing plays a key role. This expert uses a large variety of sensors including inertial measurement units (accelerometer, gyroscope, magnetometer), galvanic skin response sensors, barometers etc. and optical heart rate monitors to capture relevant physiological parameters that are then automatically analyzed in order to assess the health and wellbeing of a human. The sensors are typically integrated into mobile or wearable platforms such as smartphones and smart watches. With a formal education in technical computer science (with focus on electrical engineering) this expert possesses detailed knowledge of the physical and electrical principles underlying the various sensing modalities. The majority of this expert’s work is related to developing and deploying signal processing methods and machine learning techniques that allow for automated analysis of the sensed phenomena through software.

  This expert has been teaching sensors and sensor data analysis for many years. Over the years this expert has taught hundreds of students the technical foundations of mobile and ubiquitous computing. Practical class projects as well as individual student projects focus on sensors and algorithmic sensor data analysis as the key component of context aware computing in general and health assessments in particular. This expert mentored a group of graduate students on a project that used pulse oximetry in a wrist-worn device to recognize altitude sickness in alpine climbers.

  
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• Expert Witness #263082

  This expert is a Professor and served as the Associate Chair of the Electrical Engineering Department. This expert also served as the Director of a University off-campus graduate program. This expert is also an expert in intellectual property development and a consultant for patent litigation cases in the areas of telecommunications, computer networks, and wireless networks at both the protocol and hardware levels. This expert is internationally known through research, scholarly work, and a published book. This expert has had several invited talks at international conferences.

  This expert was a research scientist at a telecommunications institute working on design of advanced communication systems and high-speed computer networks. This expert was with the Computer and Communications Research Center at a University and worked as a research assistant on design and analysis of high-speed switching systems project. This expert was a telecommunications system research & development engineer, participated in design of a high-speed digital telephone Private Branch Exchange" (PBX), and received the best “design/idea” award.

  This expert specializes in: Computer Networks/Protocols, TCP/IP, Virtualization, AI in Networking, Cloud Data Centers, Network Security, Internet Applications, Web, VoIP, Video Streaming, Multimedia Signaling/Networking, CDNs, Networking Devices, Switches, Routers, Media Gateways, Virtual Switches, Signaling in Wireless Mobile and Telecommunication Networks, IoT, and Wireless Sensor Networks.

  This expert is the author of an internationally recognized textbook. Additionally, this expert has been granted a U.S. Patent that presents a switching system for use in high-speed computer networks.

  This expert holds positions with the IEEE Communications Standards Magazine, presenting the latest innovation in computer networks and other aspects of communication systems. This expert has given numerous domestic and international conference regular and invited talks and published many journal articles in communications and networking fields.

  This expert has have received several awards, honors and research grants from university, private sectors, state, and governmental funding agencies for conducting research and teaching in the area of telecommunication systems.

  This expert’s prior litigation experience includes: analysis of patent claims, prior art research, consulting for counsel on term constructions, technology examination against patent infringement, patent opinion expert report, claim chart preparation, patent invalidity expert report, handling IPR cases, participation in deposition process, and participation in court testimony.

  
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• Expert Witness #262582

  This expert has deep knowledge of the operations of electronic voting technology, including the use of barcodes and the various approaches for permitting voters to read a paper version of their ballot or to verify the choices made on their ballot. This expert's extensive knowledge of the voting process in the U.S. and of technologies used for conducting elections has led to expert work in litigations involving election technology and public records, as well as intellectual property disputes. This expert has substantial background (including a PhD in number theory) in the theory and application of cryptography and related mathematics and computer science (hash functions, authentication, integrity of documents, etc.), including many years with a research laboratory in support of a government agency.

  A recent project involved an analysis of election data records for all biennial elections in multiple states. Currently a Professor of Computer Science and Engineering, this expert holds Ph.D., M.A., and B.S. degrees in mathematics.

  
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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 #210198

  This expert has worked with source encoders such as data compression systems, channel encoders such as error correcting codes, cryptographic encoders, as well as various other types. Multiplexers have arisen in many projects throughout this expert’s academic and industrial work, and this expert has published extensively on encoders. This expert serves as a Professor in the Department of Electrical and Computer Engineering at a major University. For many years this expert has been a technical consultant to companies and to the U.S. Department of Defense. This expert has programmed computers in many languages and has published hundreds of peer reviewed technical papers in journals and conference proceedings. This expert has served as an expert witness in more than 60 patent litigation, IPRs, and trade secret lawsuits. This expert received both S.B. and S.M. degrees in electrical engineering and computer science, an M.A. degree in mathematics, and a Ph.D. in electrical and computer engineering.

  
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