Serene Banerjee

AI Researcher

Bengaluru, Karnataka, India21 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

21+ years in AI and telecommunications.
Expert in causal machine learning and reinforcement learning.
Contributed to multiple IEEE publications and invention disclosures.

Stackforce AI infers this person is a Telecommunications expert specializing in AI and machine learning applications.

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Skills

Core Skills

AiMachine LearningData ScienceComputer VisionSoftware EngineeringImaging TechnologyEmbedded SystemsDigital Signal Processing

Other Skills

Causal MLReinforcement LearningAI/ML Algorithms5G RAN TechnologiesCausal AI5G TechnologiesAI/ML/RL AlgorithmsMeta-learningAnomaly DetectionForecastingClusteringAlgorithm DevelopmentHuman DetectionVideo SurveillanceTracking Algorithms

About

Over 21+ years of experience in research and development, with expertise in AI, machine learning, and reinforcement learning applied to 5G Radio Access Networks (RAN) and Computer Vision. As a Master Researcher at Ericsson, I am committed to driving innovation in telecommunications through advanced methodologies like Causal AI and machine learning. My mission is to contribute to cutting-edge solutions that enhance connectivity and network performance, aligning with Ericsson's vision of empowering a connected world. At Ericsson, I focus on developing and implementing advanced AI/ML algorithms for 5G/6G RAN technologies, including causal machine learning and reinforcement learning. My contributions include multiple filed invention disclosures, impactful industry presentations, and technical publications in top-tier venues such as IEEE. Collaborating with cross-functional teams, I strive to push the boundaries of what is possible in wireless communication and network optimization.

Experience

Ericsson

2 roles

Master Researcher

Promoted

Feb 2022 – Present · 4 yrs 1 mo

Working on Air Interface in Radio Access Networks, with a focus on Causal ML/RL. Building on filed invention disclosures, papers, and presentations.
Accomplishments: 5 Filed Invention Disclosures, 3GPP contributions,1 IEEE Transactions on Machine Learning in Communications and Networking paper, 4 IEEE Int. Conf. papers, 2 Industrial Presentations at IEEE Globecom and ICASSP, 4 Tutorials on Causal AI in 5G/6G

Causal MLReinforcement LearningAI/ML Algorithms5G RAN TechnologiesAIMachine Learning

Senior Data Scientist

Sep 2019 – Jan 2022 · 2 yrs 4 mos

Worked on AI/ML/RL algorithms for 5G RAN: Meta-learning and transfer learning, anomaly detection, forecasting, root cause analysis, clustering, network parameter recommender, passive intermodulation mitigation, link adaptation etc.
Accomplishments: 1 Key Contributor Award, 2 Power Awards, 4 Filed Invention Disclosures, 6 IEEE Int. Conf. papers, 1 prototype-to-product transfer with BMAS, Ericsson 5G RAN Associate Certification

AI/ML/RL AlgorithmsMeta-learningAnomaly DetectionForecastingClusteringMachine Learning+1

Johnson controls

Lead Engineer

Jan 2015 – Sep 2019 · 4 yrs 8 mos · Greater Chennai Area

Develop algorithms and product features for video surveillance, including human detection and tracking.
Productized People Counting for tailgate detection from look-down views from overhead cameras.

Algorithm DevelopmentHuman DetectionVideo SurveillanceComputer VisionSoftware Engineering

Hp printing and personal systems group r&d hubs

3 roles

Senior Imaging Engineer

Apr 2013 – Dec 2014 · 1 yr 8 mos

Development and deployment of imaging algorithms and optimizations per business needs.

Imaging AlgorithmsOptimizationImaging TechnologySoftware Engineering

Senior Research Scientist

Promoted

Jul 2010 – Mar 2013 · 2 yrs 8 mos

Worked on low-complexity and scalable technologies for image/activity recognition (through algorithms and crowd-sourcing) and applications for HPL India.

Image RecognitionCrowd-sourcingComputer VisionSoftware Engineering

Research Scientist

Nov 2006 – Jun 2010 · 3 yrs 7 mos

Worked on embedded document cleanup for seamless integration of paper and electronic documents for the Paper in Digital Enterprise (PriDE) project at HPL India, headed by Dr. Anjaneyulu Kuchibhotla.

Embedded Document CleanupEmbedded SystemsSoftware Engineering