Category: Research

Sidike Paheding Publishes Paper in Top Journal

A scholarly paper co-authored by Assistant Professor Sidike Paheding, Applied Computing, has been published in the April 2021 issue of ISPRS Journal of Photogrammetry and Remote Sensing, published by Science Direct. The title of the paper is, “Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning.” View the article abstract . . .

2021 Design Expo Continues As Virtual Event

by Pavlis Honors College The 21st Design Expo will continue virtually, but with a twist! Combining lessons learned from our first successful Virtual Design Expo and the desire to engage student teams synchronously, the Design Expo committee is excited to invite the Michigan Tech community, program friends and sponsors to register for this year’s Design Expo held . . .

ICC Distinguished Lecture: Alina Zare, Univ. of Florida, April 16

The Institute of Computing and Cybersystems will present a Distinguished Lecture by Dr. Alina Zare on Friday, April 16, 2021, at 3:00 p.m. Her talk is titled, “Multiple Instance Learning for Plant Root Phenotyping.” Dr. Zare is a professor in the Electrical and Computer Engineering department at University of Florida. She teaches and conducts research . . .

Biocomputing, Digital Health Focus of New Research Center

The Institute of Computing and Cybersystems (ICC) and the Health Research Institute (HRI) have established the Joint Center of Biocomputing and Digital Health (BDH). The new research center was co-founded by HRI member Jingfeng Jiang (BME) and ICC member Jinshan Tang (CC). The mission of Joint Center of Biocomputing and Digital Health (BDH) is to . . .

1010 with … Sidike Paheding, Weds., March 3, 5:30 pm

You are invited to spend one-zero-one-zero—that is, ten—minutes with Sidike Paheding on Wednesday, March 3, from 5:30 to 5:40 p.m. EST. Dr. Paheding is an assistant professor in the Department of Applied Computing. In this informal discussion, he will cover his research work in the areas of machine learning and computer vision. We look forward . . .