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  1. Employees

Språkvelger

Norsk

Mikkel N. Haug

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Mikkel N. Haug

PhD candidate in AI Psychology and Biosignals
Department of Psychology

mikkel.haug@ntnu.no
Dragvoll, Institutt for Psykologi, Nivå 5, Kontor 12579, Trondheim
About Research Teaching Outreach

About

  • PhD candidate - AI psychology - XAI, biosignals, and personal experiences
  • Surgeon - Neurophotonics lab - Zong Group - Kavli Institute for Systems Neuroscience (KISN).
  • M.Sc. - Multimodal processing in higher-order brain regions.
  • B.Sc. - Cognitive and Sleep Psychology.

____________________________________________

My Role

I am a PhD researcher in AI psychology, a field that uses intelligent systems to study and solve problems traditionally addressed by human cognition.

Specifically, I work on how advanced AI models can be developed and used in ways that humans can understand, trust, and apply correctly in real decision-making contexts. 

My work focuses on interpretable AI for time-series and biosignal data, using methods such as deep learning and explainable AI (XAI) to study how model outputs, limitations, and uncertainty should be communicated when AI is used as decision support.

Large Language Models & Unethical AI

In parallel, I work with large language models (LLM), including fine-tuning (LoRA) and dataset design. In my teaching, I also cover unethical and manipulative LLM behavior in a controlled way, using it to illustrate risks, bias, and failure modes, and to train master students in responsible and safety-aware AI development using Python. 

(This text was, inevitably, generated by AI)

Competencies

  • AI
  • Attention & Emotions
  • Autobiographical Memory
  • Biological Psychology
  • Biosignals
  • Computer Vision
  • Deep Learning
  • EEG
  • Interactive / Immersive VR
  • Machine learning
  • Neuroscience
  • Personal Experiences
  • Rodent Neurosurgery
  • XAI

Research

Brainwave Battleground:

using XAI to attack the brain where it matters most.

GUT Project:

Using machine learning and deep learning to analyze the "gut feeling". 

Evil LLM:

Using LoRA to fine-tune LLMs to become unethically ethical. 

Teaching

Courses

  • PSY3230 - The psychology of artificial intelligence
  • PSY3231 - Positive psychology, learning and motivation

Topics for ongoing and/or previous lecturing/supervision:

Artificial Intelligence, XAI, Large Language Models, Cognitive Science, Research Design, Experimental Design, VR, Neurobiology, Anatomy of the Nervous System, Biosignals, Neurosurgery.

Outreach

Seeing Odors and Smelling Light - Multimodal Processing in Higher Order Brain Regions

Talk on my discovery on single neurons processing both smell and light -at the same time!

Magic in the Air - odor molecules, perception, and discrimitation

A talk on how we can study olfaction by looking into other models

Covid-19 & Anosmia – how SARS-CoV-2 attacks our olfactory system

A talk on the mechanism behind why many suffered from loss of smell during Covid-19

Anvendt manipulasjon - styring av hjerne-kropp-signaler ved bruk av magi

Et foredrag om hvordan forståelse av nervesystemet kan brukes i underholdning gjennom manipulasjon

Aversive learning consolidation in the amygdala and long-term changes in the piriform cortex in rodents due to odor stimulation

A talk on how learning changes neural activity in animals when it comes to smell

Sex hormone regulation and influence in neural plasticity as an effect of skill development and competetive behavior

A talk on how sex hormones influences our behavior, especially in competitive environments and during the development of a skill

Higher-order olfactory processing

Co-author - Conference poster - 2023

Magic in the air – hvordan sansene kan skape fortryllende opplevelser

Conference lecture - 2023

Luktesystemets gåter

Participation in radio or TV

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