Ekansh Gupta

AI Researcher

Seattle, WA, United States9 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

PhD in brain-computer interfaces from Georgia Tech.
Expertise in deep learning and signal processing.
Significant contributions to 5G telecommunications software.

Stackforce AI infers this person is a Telecommunications and Healthcare specialist with a focus on Machine Learning and Embedded Systems.

Contact

ekanshgupta340@gmail.com LinkedIn

Skills

Core Skills

Deep LearningMachine LearningSignal ProcessingEmbedded SystemsSoftware Development

Other Skills

AlgorithmsArtificial Intelligence (AI)CC#C++CommunicationComputer ScienceData AnalysisData MiningData ScienceData StructuresDomain AdaptationElectrical EngineeringElectronicsError Correction

About

I completed my PhD at Georgia Tech, researching brain-computer interfaces and applied machine learning. My research interests include deep learning, domain adaptation/transfer learning, signal processing, etc. Previously, I worked as a Software Engineer at Samsung after getting my Bachelor's degree at IIT Kanpur.

Experience

9 yrs 11 mos

Total Experience

4 yrs 7 mos

Average Tenure

8 mos

Current Experience

Georgia institute of technology

Graduate Research Assistant

Aug 2019 – Sep 2025 · 6 yrs 1 mo · Atlanta, Georgia, United States

Generalizing machine learning algorithms for brain-signal detection using signal processing methods, domain adaptation, transfer learning, regularized optimal transport, and hybrid BCI signal paradigm systems.
Researching to enhance brain signal detection by studying the non-linear interaction between different neural potentials.
Using EEG signals to accelerate reinforcement learning agents in a cyber-physical system via implicit reward shaping

Computer ScienceDeep LearningMachine Learning

Samsung

2 roles

Software Engineer

Jun 2016 – Aug 2019 · 3 yrs 2 mos

Developed the data link, network layer, and system software for 5G CPE (Customer Premise Equipment) based on Verizon specification and set up the unit-test and integration-test framework for the network stack using GoogleTest framework.
Researched problems and proposed novel solutions to network issues in 3GPP 5G Non-Terrestrial Networks pre-standards research for efficient random access procedure and MCS selection

Embedded SystemsComputer ScienceSoftware Development

Research Intern

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

Accelerated LDPC error correction codes performance for a 5G real-time OS on a multicore platform by 40x using multiple-word instructions and creating parallel flows in the min-sum LDPC algorithm.

Embedded SystemsWriting