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Palakorn Achananuparp (Aek)

Senior Research Scientist

Living Analytics Research Centre (LARC)

Hello!

I am a senior research scientist at Living Analytics Research Centre (LARC), Singapore Management University. Currently, I am leading LARC’s research in the Smart Consumption and Healthy Lifestyle application domain where we are developing personalized healthy eating and behavioral change technology for just-in-time behavioral change interventions.

My research interests include the applications of data mining, natural language processing, and machine learning techniques in digital health and well-being domains, especially food consumption and health, personal informatics and quantified self, crowdsourcing, and computational social science in general.

Interests

  • Behavior Change
  • Computational Social Science
  • Crowdsourcing
  • Digital Health
  • Personal Informatics

Education

  • PhD in Information Science, 2010

    Drexel University

  • Master in Information Systems Management (MISM), 2004

    Carnegie Mellon University

  • Bachelor in Economics, 2000

    Chulalongkorn University

Pronunciation Guide

How to say my names

I was born and grew up in Thailand. Most of the time, people call me by my nickname Aek (as in egg 🔈 Google Translate). My first name and last name are pronounced as follows:

Updates

What’s new?

Demo at The Web Conference 2020

RecipeGPT demo paper accepted

Publications Round-Up for 2019

One paper accepted to KDD 2019 and two papers accepted to DPH 2019

Publications

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Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Cross-modal food retrieval is an important task to perform analysis of food-related information, such as food images and cooking …

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of …

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several …

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood …

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases …

Under Preparation

Things I’m currently working on

  • Evaluating Food Recommender Systems Beyond Accuracy Metrics
  • Incremental Transformation of Facial Weight by Steering StyleGAN Latent Space
  • Design and Development of a Data-Driven Conversational Agent for Diets
  • Early Detection of About-to-Eat Moments
  • Evaluating Persona-Based Utterance Styles
  • A Randomized Trial of Conversational Agents in Just-in-Time Eating Intervention

Contact

The primary way of contacting me is through my work email. I can also be reached on Twitter though I rarely tweet except to occasionally broadcast updates about research and publication. For internal project chats, discussions, and paper sharing, I primarily use Slack. Lastly, I only accept a connection request and read messages on LinkedIn from people whom I’ve professionally met in real life.