Please complete the CAPTCHA to continue
@comcast.com
✓
2 phones found area 412
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Ehsan Younessian is listed as Principal Machine Learning Researcher at Comcast Cable at Comcast Cable, a company with 75807 employees, based in Washington, District Of Columbia, United States. AeroLeads shows a work email signal at comcast.com, phone signal with area code 412, and a matched LinkedIn profile for Ehsan Younessian.
Ehsan Younessian previously worked as Principal Machine Learning Researcher at Comcast Cable and Lead Research Scientist at Comcast Cable. Ehsan Younessian holds Research Scholar, Multimedia Systems from Carnegie Mellon University.
This section adds company-level context without repeating Ehsan Younessian's masked contact details.
AeroLeads found 1 current-domain work email signal for Ehsan Younessian. Compare company email patterns before reaching out.
Ehsan is a seasoned expert in multimedia data mining and fusion, with a wide-ranging skill set that extends across textual, visual, and multi-modal domains. Ehsan has effectively harnessed his expertise in practical applications across diverse domains, including advertising, entertainment, news, sports, and surveillance. His research interests revolve around several pivotal directions:• Contextual Advertising in Entertainment Videos• Video Understanding, Multimedia Event Detection, Semantic Indexing• Multi-Modal Fusion and Signal Processing of Multimedia Content• Machine Learning in Computer Audio-Vision, Natural Language Understanding, and LLMs• Big Data Analytics, Applied Machine Learning, and Explainable AI• Personalization and Recommendation SystemsIn his current role as the Principal Researcher and tech lead on the Media Analytics Team, Ehsan has played a pivotal role in shaping contextual advertising solutions, with a primary focus on Brand Alignment. His work involves identifying contextually relevant ad categories by leveraging semantic multi-modal detectors to understand video content.Moreover, over the past three years, Ehsan has led various initiatives, including:• Linear Ad Identification for Real-Time Interactive• Intro Detection• Duplicate Content Detection• Brand Diversion• News Sentiment Analysis• Winter Olympics Broadcast Segmentation and TaggingEhsan's contributions have earned him various recognitions. He was honored as a recipient of 2022 the Technology & Engineering Emmy Award and Comcast TPX 2023 WOHA! award and the Innovator Award. In 2018, he secured the International Monetary Fund Big Data Challenge as one of the top 3 participants. Furthermore, in the last 10 years, he has actively collaborated with over 40 contributors and has submitted 18 patent applications, 10 of which have been published, while 8 are still pending.
Listed skills include Algorithms, Machine Learning, Matlab, Computer Science, and 24 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Washington, District Of Columbia, United States
Since 2019 I have been the tech lead of our efforts on different contextual advertising solutions such as:— Brand Alignment: Understanding the video via semantic multi-modal labels, we aim to find relevant ad categories (a.k.a ad words) that are contextual relevant to the content. Each detected ad word comes with relevance and sentiment scores using which.
Washington D.C. Metro Area
Since 2015 I have been working on different ad-related projects such as:— Ad Identification and Analytics Platforms: As a lead researcher, I designed and implemented ad identification platform which can detect all ads placed in video streams using multimodal features. On top of the Ad Id platform, we aim to build an ad analytics platform to understand how.
Washington D.C. Metro Area
From 2012 to 2015, I worked on different big data multimedia projects such as— Linear Program Popularity Prediction based on User Behavior and Social Activity— Menu/Program Personalization and Recommendation— Content discovery and semantic analysis of broadcast videosMy responsibilities as a member of the research team were:— Delivering required.
I mainly worked on two TRECVID tasks:— (Ad-hoc) Multimedia Event Detection (MED):The goal of MED is to assemble core detection technologies into a system that can search multimedia recordings for user-defined events based on pre-computed metadata. The metadata stores developed by the systems are expected to be sufficiently general to permit re-use for.
I worked on the Video Copy Detection task in the context of the TRECVID competition. We proposed a multi-modal approach using video and audio channel fingerprints to detect partially near-duplicate videos in a large-scale dataset.
Other employees you can reach at comcast.com. View company contacts for 75807 employees →
Nicholas Lang
Colleague at Comcast Cable
Elkton, Maryland, United States, United States
View →
BS
Bernardo Salazar
Colleague at Comcast Cable
West Palm Beach, Florida, United States, United States
View →
DS
Danielle Schmidt
Colleague at Comcast Cable
Denver Metropolitan Area, United States
View →
LR
Lipon Rahman
Colleague at Comcast Cable
Glen Allen, Virginia, United States, United States
View →
SW
Shannon Walsh
Colleague at Comcast Cable
Fort Lauderdale, Florida, United States, United States
View →
CD
Christopher Donnnelly
Colleague at Comcast Cable
Philadelphia, Pennsylvania, United States, United States
View →
HM
Hoyett Mckenzie
Colleague at Comcast Cable
Joliet, Illinois, United States, United States
View →
TD
Tom Dube
Colleague at Comcast Cable
Concord, New Hampshire, United States, United States
View →
JR
Jesus Rivas
Colleague at Comcast Cable
Chelsea, Massachusetts, United States, United States
View →
AJ
Aaron Jones
Colleague at Comcast Cable
Denver Metropolitan Area, United States, United States
View →
Quick answers generated from the profile data available on this page.
Ehsan Younessian works for Comcast Cable.
Ehsan Younessian is listed as Principal Machine Learning Researcher at Comcast Cable at Comcast Cable.
AeroLeads has found 1 work email signal at @comcast.com for Ehsan Younessian at Comcast Cable.
AeroLeads has found 2 phone signal(s) with area code 412 for Ehsan Younessian at Comcast Cable.
Ehsan Younessian is based in Washington, District Of Columbia, United States while working with Comcast Cable.
Ehsan Younessian has worked for Comcast Cable, Carnegie Mellon University, and Telefónica.
Ehsan Younessian's colleagues at Comcast Cable include Nicholas Lang, Bernardo Salazar, Danielle Schmidt, Lipon Rahman, and Shannon Walsh.
You can use AeroLeads to view verified contact signals for Ehsan Younessian at Comcast Cable, including work email, phone, and LinkedIn data when available.
Ehsan Younessian holds Research Scholar, Multimedia Systems from Carnegie Mellon University.
Ehsan Younessian is listed with skills including Algorithms, Machine Learning, Matlab, Computer Science, Computer Vision, Data Mining, C++, and Python.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts