Work with thought leaders and academic experts in Computer Vision and Pattern Recognition

Companies can greatly benefit from working with experts in Computer Vision and Pattern Recognition. These professionals can help enhance image and video analysis, develop advanced surveillance systems, improve object recognition and tracking, automate quality control processes, enable facial recognition technology, and optimize augmented reality experiences. By collaborating with academic researchers in this field, companies can leverage cutting-edge technology, gain valuable insights, and stay ahead of the competition.

Researchers on NotedSource with backgrounds in Computer Vision and Pattern Recognition include Jerry Schnepp, Ph.D., Hector Klie, Vladimir Shapiro, Ph.D., Emmanuel Iarussi, Krzysztof Wolk, Dr. Haikun Huang, Ph.D., Ayse Oktay, Suhang Wang, Vivek Singh, Dr. Justin W. Hart, Ph.D., and Hussein Al-Hussein.

Jerry Schnepp, Ph.D.

Chicago, Illinois, United States of America
22 Years Experience
Chair of Computer Science, Judson University
Education

Ph.D., Computer Science / June, 2012

Chicago, Illinois, United States of America

M.S., Human-computer Interaction / June, 2002

Chicago, Illinois, United States of America

University of Illinois at Chicago

B.A., Communication / December, 1999

Chicago, Illinois, United States of America
Experience

Judson University

Chair of Computer Science / August, 2022 — Present

Leading the Department of Computer Science with a focus on evolving curricula, growing enrollment, and post-graduate professional preparedness. Coordinating research on AI-supported individualized learning experiences using Retrieval Augmented Generation (RAG). Spearheading professional development activities among faculty members focused on innovative pedagogy through Learner Experience Design (LXD). Teaching courses in Software Design Patterns, Data Structures, Algorithms, Web Development, Database Systems, and a Capstone Senior Project. Serving as Chair of the Undergraduate Academic Policy Committee and the Degree Completion Academic Policy Committee. Supporting student internships and independent studies.

Bowling Green State University

Tenured Associate Professor / May, 2018 — August, 2022

Led a university initiative to build The Collab Lab, an innovation space on the BGSU campus. Sought and received support to initiate the project, oversaw its design and construction, and led its operations as the director. Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Supported twenty-five undergraduate independent study projects and served on graduate committees for two master’s students and four Ph.D. students, one as the primary advisor. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.

Assistant Professor / August, 2012 — 2018

Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.

DePaul University

Adjunct Faculty in Computer Science / August, 2002 — 2012

Taught courses in Human-Computer Interaction, Computer Graphics Development, Real-time Rendering, Data Visualization, Computer Animation, Web Design, and Digital Photography.

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (19)
Human Computer Interaction
User Experience
Interactive Media
Computer Graphics
Accommodations for the Deaf
And 14 more
About
As a technologist, designer, and creative problem-solver, I'm passionate about teaching people to embrace new technology and explore. I am the Chair of the Computer Science department at Judson University. Before my appointment, I served as an Associate Professor in the College of Technology, Architecture and Applied Engineering at Bowling Green State University (BGSU). I teach courses in Programming, Data Structures and Algorithms, Software Design Patterns, Interactive Media, Usability, User Experience, and Augmented/Virtual Reality. I was the founding director of the Collab Lab, a hands-on, creative space for students and faculty to engage in collaborative work. My research efforts are directed in several areas: AI Supported Individualized Learning, Learner Experience Design, Technology for Online Assessment, Interactive Mobile Learning, and Computerized Sign Language Synthesis. I enjoy collaborating on projects involving cutting-edge technology and new applications.

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Hector Klie

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

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

Houston, Texas, United States of America

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

Houston

Simón Bolívar University

Master of Science, Computer Science / May, 1991

Caracas
Experience

DeepCast, LLC

CEO / May, 2017 — Present

ConocoPhillips Company

Staff Data Scientist / March, 2008 — April, 2016

Sanchez Oil and Gas

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

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

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

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Vladimir Shapiro, Ph.D.

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

Technical University of Sofia

Electrical & Computer Engineering / January, 1991

Sofia
Experience

Northeastern University

Adjunct Professor / September, 2019 — Present

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

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

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

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

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

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Emmanuel Iarussi

8 Years Experience
ML | CG | CV
Education

Research Centre Inria Sophia Antipolis - Méditerranée

PhD Computer Science / October, 2015

Valbonne

Universidad Nacional del Centro de la Provincia de Buenos Aires

Engineer, Faculty of Exact Sciences / October, 2012

Tandil
Experience

University of Denver

Adjunct Faculty / September, 2023 — Present

Universidad Torcuato Di Tella

Professor / March, 2022 — Present

Consejo Nacional de Investigaciones Científicas y Técnicas

Researcher / June, 2017 — Present

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (14)
Computer Graphics
Generative AI
Computer Graphics and Computer-Aided Design
Surgery
Health Informatics
And 9 more
About
I'm a Computer Scientist at [CONICET](http://www.conicet.gov.ar/) and an Assistant Professor at [Universidad Torcuato Di Tella](https://www.utdt.edu/), Argentina. I'm a former postdoc from [IST Austria - Bernd Bickel's group](https://ist.ac.at/). I've got my Ph.D. at [GRAPHDECO](https://team.inria.fr/graphdeco/) group, [INRIA Sophia Antipolis](https://www.inria.fr/centre/sophia/), France. In 2012 I've graduated as a Systems Engineer from [UNICEN University](https://www.unicen.edu.ar/), Tandil, Argentina. My research interests focus on developing AI tools for 2D and 3D content manipulation.

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Krzysztof Wolk

Professor
Education

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

Warsaw
Experience

Senior AI/NLP Researcher and Manager

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

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Dr. Haikun Huang, Ph.D.

4 Years Experience
Chief Technology Officer at Great Victory Legends
Education

UMass Boston

Ph.D, Computer science / June, 2020

Boston, Massachusetts, United States of America
Experience

Great Victory Legends

Chief Technology Officer / October, 2021 — Present

George Mason University

Postdoctoral Researcher / July, 2020 — Present

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (26)
Computational Design
Graphics
Vision
VR/AR/MR
Cognitive Science.
And 21 more
About
Dr. Haikun Huang holds a Ph.D. in Computer Science from UMass Boston and is a postdoctoral research fellow at George Mason University. His graduation thesis was titled AI-driven Computational Design Tools For Synthesizing Human-centric Design and won the Umass Boston year's graduate program award. With a strong background in AR/VR/MR, computational design, graphics, HCI, and vision, he is passionate about applying artificial intelligence techniques to create innovative 3D content creation tools and virtual experiences.   Dr. Huang has published his research in prestigious conferences such as IEEE VR and ACM CHI, and his work has been recognized with a Best Paper Honorable Mention Award at CHI 2019. He is also an active reviewer for IEEE VR and CHI, contributing to advancing these fields. From 2017 to 2023, he has successfully published 21 papers, which have been cited more than 470 times. In the first half of 2023 alone, it was cited more than 180 times. At the same time, his h-index is 12, and i10-index is 15.   In addition to his academic achievements, he has years of industry experience, particularly in the game development sector. He has also been a columnist for popular game development forums in China, where he shared his expertise and insights with fellow developers.   He has also served as a teaching assistant for various computer science courses, including Computer Games Programming, Computer Vision, Programming in C, and (Computer Architecture and Organization at UMB. These experiences have allowed him to hone his teaching skills and effectively communicate complex concepts to students.   As a co-founder and CTO of Great Victory Legends, he gained valuable experience leading technical teams and developing cutting-edge solutions. He is confident in bringing this expertise into the classroom and providing students with a comprehensive understanding of the subject matter.   He also runs his studio as a freelance and sells the tools on Unity Asset Store. The tools he develops are all about practical tools to improve development efficiency. UPython 3 Pro is his masterpiece. It provides real-time communication between Unity and Python. It was used in the research projects he was involved in. AR/VR researchers deeply love it.

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Ayse Oktay

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

Gebze Institute of Technology

PhD, Computer Engineering / July, 2011

Gebze

Fatih University

MS, Computer Engineering / September, 2006

Istanbul

Fatih University

BS, Computer Engineering

Istanbul
Experience

Université Libre de Bruxelles, Belgium

Yildiz Technical University, Istanbul, Turkey

Associate Professor / September, 2021 — February, 2024

Yapay Nazar Inc.

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

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

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

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Suhang Wang

5 Years Experience
Professor at Pennsylvania State University
Education

Arizona State University

PhD, Computer Science / July, 2018

Tempe, Arizona, United States of America

University of Michigan

MS, Electrical Engineering: Systems / December, 2013

Ann Arbor, Michigan, United States of America

Shanghai Jiao Tong University

BS, Electrical and Computer Engineering / July, 2012

Shanghai
Experience

Pennsylvania State University

Assistant Professor / August, 2018 — Present

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (21)
Machine learning
Graph Mining
Theoretical Computer Science
Information Systems and Management
Computer Science Applications
And 16 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.

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Vivek Singh

12 Years Experience
Rutgers Professor, MIT alum, CS PhD, AI expert
Education

University of California Irvine

Ph.D., Information and Computer Science / August, 2012

Irvine, California, United States of America
Experience

Rutgers, The State University of New Jersey

Associate Professor / July, 2020 — Present

Rutgers University New Brunswick

Assistant Professor / September, 2014 — June, 2020

Massachusetts Institute of Technology

Post-doctoral Associate / September, 2012 — August, 2014

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (25)
Human-centered Data Science
Human-centered AI
Computational Social Science
Behavioral Informatics
Algorithmic Fairness
And 20 more
About
Vivek Singh is a highly accomplished computer scientist and researcher. He earned his Ph.D. in Information and Computer Science from the University of California Irvine in 2012. During his time at UC Irvine, he focused on research in the areas of natural language processing and machine learning. After completing his Ph.D., Singh joined Massachusetts Institute of Technology as a post-doctoral associate, where he worked on developing algorithms for large-scale data analysis and information retrieval. In 2014, Singh joined Rutgers University as a faculty member in Information Science and Computer Science. As a faculty member at Rutgers, he has published numerous papers in top computer science journals and conferences and has received several grants for his research. Singh's research interests include natural language processing, generative AI, and social computing. He has a particular interest in developing algorithms for analyzing large datasets and extracting valuable insights from them. His work has been applied to various domains, including social media, healthcare, and finance. He has multiple patents, and has experience consulting with early and late-stage (unicorn) startups. His work has led to multiple grants, awards, funding, patents, and deployed products.

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Dr. Justin W. Hart, Ph.D.

10 Years Experience
Professor at UT Austin specializing in artificial intelligence and human-robot interaction
Education

West Virginia University

BS, Computer Science / May, 2001

Morgantown, West Virginia, United States of America

Ph.D, Computer Science / December, 2014

New Haven, CT, Connecticut, United States of America

Cornell University

M.Eng, Computer Science / January, 2006

Ithaca, New York, United States of America
Experience

The University of Texas at Austin

Assistant Professor of Practice / September, 2017 — Present

University of British Columbia

Postdoctoral Fellow / December, 2014 — December, 2016

The University of Texas at Austin

Postdoctoral Fellow / December, 2016 — September, 2016

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (12)
Artificial Intelligence
Human-Robot Interaction
Philosophy
Control and Systems Engineering
Social Psychology
And 7 more
About
My research focuses on expanding the places where robots can be deployed. My lab, the Living with Robots Laboratory, has the mission of seeing robots in every home and workplace. To that end, I work on technologies to enable robots to operate in places designed for people, and technologies to enable robots to better interact with people. I am on the executive committee for RoboCup@Home. I am an assistant director of the UT Austin robotics research consortium, Texas Robotics. I am an associate editor for top conferences and journals in robotics. I work on problems relating to autonomous social human robot interaction, artificial intelligence, and robotics architectures.

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Hussein Al-Hussein

8 Years Experience
Adjunct Faculty, Mission College & De Anza College, California
Education

Stanford University

Electrical Enginering / March, 1990

Stanford, California, United States of America

Stanford University

MS, Electrical Engineering / January, 1981

Stanford, California, United States of America
Experience

Mission College

Adjunct Faculty / August, 2016 — Present

Teaching computer science courses like C++, data structures, and algorithms.

De Anza College

Adjunct Faculty / December, 2021 — Present

Teaching computer science courses like C++, data structures, and algorithms.

Most Relevant Research Expertise
Computer Vision and Pattern Recognition
Other Research Expertise (29)
Image Processing
Computer Visions
OpenCV
Algorithms
OCR
And 24 more
About
Technical Skills: ·       **Programming Languages:** Python, OpenCV, C++ 11 and up, C, and Java. ·       **Image processing**: Image segmentation, alignment, registration, enhancement, filters, noise removal, binarization, object detection and identification, English & Arabic OCR, 2D barcode readers, watermarking, DCT (Discrete Cosine Transform), check cropping, industrial defect detection, and fault detection of assembled systems. ·       **Software Engineering Skills:** OOP, algorithms, data structures, SW processes, static and dynamic code analysis, algorithms performance, MISRA standards code compliance, Google C & C++ coding guidelines, git, and hg.   Cryptography

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Example Computer Vision and Pattern Recognition projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computer Vision and Pattern Recognition?

Enhancing Image and Video Analysis

An academic researcher in Computer Vision and Pattern Recognition can help companies improve their image and video analysis capabilities. By developing advanced algorithms and techniques, they can enhance object detection, segmentation, and classification, enabling more accurate and efficient analysis of visual data.

Developing Advanced Surveillance Systems

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to develop advanced surveillance systems. These systems can utilize computer vision algorithms to detect and track objects, identify suspicious activities, and enhance security measures.

Improving Object Recognition and Tracking

Companies can benefit from the expertise of a researcher in Computer Vision and Pattern Recognition to improve their object recognition and tracking capabilities. By developing robust algorithms and models, they can accurately identify and track objects in real-time, enabling applications in autonomous vehicles, robotics, and more.

Automating Quality Control Processes

Academic researchers in Computer Vision and Pattern Recognition can help companies automate their quality control processes. By developing computer vision systems that can detect defects, anomalies, and inconsistencies in manufacturing processes, companies can improve efficiency, reduce errors, and ensure product quality.

Enabling Facial Recognition Technology

Collaborating with an expert in Computer Vision and Pattern Recognition can enable companies to leverage facial recognition technology. This can have applications in various industries, such as security, retail, and healthcare, allowing for personalized experiences, enhanced security measures, and improved customer service.

Optimizing Augmented Reality Experiences

Companies can benefit from the expertise of academic researchers in Computer Vision and Pattern Recognition to optimize their augmented reality (AR) experiences. By developing computer vision algorithms that accurately track and overlay virtual objects onto the real world, companies can create immersive and realistic AR applications.