Samitha Herath
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Samitha Herath Email & Phone Number

Senior Applied Scientist at Oracle
Location: Melbourne, Victoria, Australia 7 work roles 3 schools
1 work email found @slt.lk LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@slt.lk
LinkedIn Profile matched
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Current company
Role
Senior Applied Scientist
Location
Melbourne, Victoria, Australia
Company size

Who is Samitha Herath? Overview

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Quick answer

Samitha Herath is listed as Senior Applied Scientist at Oracle, a with 202102 employees, based in Melbourne, Victoria, Australia. AeroLeads shows a work email signal at slt.lk and a matched LinkedIn profile for Samitha Herath.

Samitha Herath previously worked as Senior Machine Learning Specialist at Additive Assurance and Research Fellow at Monash University. Samitha Herath holds Doctor Of Philosophy - Phd, Machine Learning, Computer Vision from The Australian National University.

Company email context

Email format at Oracle

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{first}@slt.lk
86% confidence

AeroLeads found 1 current-domain work email signal for Samitha Herath. Compare company email patterns before reaching out.

Profile bio

About Samitha Herath

Samitha Herath is a Senior Applied Scientist at Oracle. They possess expertise in matlab, signal processing, computer vision, machine learning.

Listed skills include Matlab, Signal Processing, Computer Vision, and Machine Learning.

Current workplace

Samitha Herath's current company

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Oracle
Oracle
Senior Applied Scientist
Melbourne, VIC, AU
Website
Employees
202102
AeroLeads page
7 roles

Samitha Herath work experience

A career timeline built from the work history available for this profile.

Senior Applied Scientist

Melbourne, Vic, Au

Research Fellow

Clayton, Victoria, Australia

Involved in research (Active Learning, Semi-supervised Learning, and Domain Adaptation for Image Classification and Object Detection) for the project Learning with Less Labels (LwLL).

Dec 2019 - May 2023

Visiting Research Intern

Canberra, Australian Capital Territory, Australia

- Worked on Deep Auto-Encoders- Our Domain adaptation solution was ranked 3rd in the VISOB Recognition Challenge at ICIP, 2016

Oct 2015 - Mar 2016

Engineering Trainee

Central Engineering Consultancy Bureau (Cecb)
Nov 2012 - Feb 2013
Team & coworkers

Colleagues at Oracle

Other employees you can reach at oracle.com. View company contacts for 202102 employees →

3 education records

Samitha Herath education

Doctor Of Philosophy - Phd, Machine Learning, Computer Vision

Thesis Title: Transfer Learning Methods for Object and Action Recognition

Bachelor’S Degree, Electrical, Electronics And Communications Engineering, First Class Honours

FAQ

Frequently asked questions about Samitha Herath

Quick answers generated from the profile data available on this page.

What company does Samitha Herath work for?

Samitha Herath works for Oracle.

What is Samitha Herath's role at Oracle?

Samitha Herath is listed as Senior Applied Scientist at Oracle.

What is Samitha Herath's email address?

AeroLeads has found 1 work email signal at @slt.lk for Samitha Herath at Oracle.

Where is Samitha Herath based?

Samitha Herath is based in Melbourne, Victoria, Australia while working with Oracle.

What companies has Samitha Herath worked for?

Samitha Herath has worked for Oracle, Additive Assurance, Monash University, Nicta, and University Of Peradeniya,Faculty Of Engineering.

Who are Samitha Herath's colleagues at Oracle?

Samitha Herath's colleagues at Oracle include Sharon N., Imad Kabalaoui, Siddharth Sundar, Chandan M, and Nagaraju Gadwala.

How can I contact Samitha Herath?

You can use AeroLeads to view verified contact signals for Samitha Herath at Oracle, including work email, phone, and LinkedIn data when available.

What schools did Samitha Herath attend?

Samitha Herath holds Doctor Of Philosophy - Phd, Machine Learning, Computer Vision from The Australian National University.

What skills is Samitha Herath known for?

Samitha Herath is listed with skills including Matlab, Signal Processing, Computer Vision, and Machine Learning.

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