Calendar

Investor Insights to Nordic Food Tech, 26 sept

26 Sep

Seminars and lectures

Tuesday 2023-09-26, 10:00 - 13:00

Participating: KTH Food, KTH Innovation, Nordic FoodTech VC, Pinc, Mudcake, FoodBridge and Gullspång Re:food

Location: Restaurant OpenLab Valhallavägen 79

2023-09-26T10:00:00.000+02:00 2023-09-26T13:00:00.000+02:00 Investor Insights to Nordic Food Tech, 26 sept (Seminars and lectures) Restaurant OpenLab Valhallavägen 79 (KTH, Stockholm, Sweden)Investor Insights to Nordic Food Tech, 26 sept (Seminars and lectures)

“Deep-sea science and technology and human perception of ‘the environment’”

26 Sep

WaterCentre's events

Tuesday 2023-09-26, 12:00 - 13:00

Participating: Tirza Meyer

Location: Online

2023-09-26T12:00:00.000+02:00 2023-09-26T13:00:00.000+02:00 “Deep-sea science and technology and human perception of ‘the environment’” (WaterCentre's events) Online (KTH, Stockholm, Sweden)“Deep-sea science and technology and human perception of ‘the environment’” (WaterCentre's events)

Challenges with Driverless and Unattended Train Operations

27 Sep

Licentiate seminars

Transport Systems Transport Science

Wednesday 2023-09-27, 14:15

Location: M108, Brinellvägen 23, Stockholm

Video link: https://kth-se.zoom.us/s/66592546366

Doctoral student: Emil Jansson , Transportplanering

2023-09-27T14:15:00.000+02:00 2023-09-27T14:15:00.000+02:00 Challenges with Driverless and Unattended Train Operations (Licentiate seminars) M108, Brinellvägen 23, Stockholm (KTH, Stockholm, Sweden)Challenges with Driverless and Unattended Train Operations (Licentiate seminars)

Optimizing Ocean Feature Estimation and Tracking through Adaptive Sampling and Formation Control of Autonomous Underwater Vehicles

28 Sep

Public defences of doctoral theses

Electrical Engineering

Thursday 2023-09-28, 10:00

Location: Kollegiesalen, Brinellvägen 8, Stockholm

Doctoral student: Joana Filipa Gouveia Fonseca , Reglerteknik

2023-09-28T10:00:00.000+02:00 2023-09-28T10:00:00.000+02:00 Optimizing Ocean Feature Estimation and Tracking through Adaptive Sampling and Formation Control of Autonomous Underwater Vehicles (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Optimizing Ocean Feature Estimation and Tracking through Adaptive Sampling and Formation Control of Autonomous Underwater Vehicles (Public defences of doctoral theses)