Andrew Katumba

Andrew Katumba

Universiteit Gent

H-index: 15

Europe-Belgium

About Andrew Katumba

Andrew Katumba, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Machine Learning, AI4 Social Good, AI in Health, Photonics, Neuromorphic Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Application of emerging technologies in insect monitoring and rearing

Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project

Technological prediction of protein and fat in black soldier fly larvae

Building Text and Speech Benchmark Datasets and Models for Low‐Resourced East African Languages: Experiences and Lessons

Computer vision and deep learning in insects for food and feed production: A review

Computer-vision based prediction of body traits and larval sex in black soldier fly

Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications

Multimode reservoir

Andrew Katumba Information

University

Position

Post-doctoral Researcher

Citations(all)

828

Citations(since 2020)

733

Cited By

323

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

15

Email

University Profile Page

Universiteit Gent

Google Scholar

View Google Scholar Profile

Andrew Katumba Skills & Research Interests

Machine Learning

AI4 Social Good

AI in Health

Photonics

Neuromorphic Computing

Top articles of Andrew Katumba

Title

Journal

Author(s)

Publication Date

Application of emerging technologies in insect monitoring and rearing

Roseline Akol

Andrew Katumba

Cosmas Mwikirize

Dorothy Nakimbugwe

Frank Ssemakula

...

2024

Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project

Grum Gebreyesus

Rawlynce Cheruiyot Bett

Dorothy Nakimbugwe

Laura Skrubbeltrang Hansen

Hanne Marie Nielsen

...

2024

Technological prediction of protein and fat in black soldier fly larvae

Frank Ssemakula

Andrew Kabuye

Ssepuuya Geoffrey

Roseline Akol

Cosmas Mwikirize

...

2024

Building Text and Speech Benchmark Datasets and Models for Low‐Resourced East African Languages: Experiences and Lessons

Applied AI Letters

Joyce Nakatumba‐Nabende

Claire Babirye

Peter Nabende

Jeremy Francis Tusubira

Jonathan Mukiibi

...

2024/4/25

Computer vision and deep learning in insects for food and feed production: A review

Sarah Nawoya

Frank Ssemakula

Roseline Akol

Quentin Geissmann

Henrik Karstoft

...

2024/1/1

Computer-vision based prediction of body traits and larval sex in black soldier fly

Sarah Nawoya

Quentin Geissmann

Henrik Karstoft

Kim Bjerge

Roseline Akol

...

2024/2

Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications

Data in Brief

Rahman Sanya

Ann Lisa Nabiryo

Jeremy Francis Tusubira

Sudi Murindanyi

Andrew Katumba

...

2024/2/1

Multimode reservoir

2023/5/16

Needle Segmentation For Real-time Guidance of Minimally Invasive Procedures Using Handheld 2D Ultrasound Systems

Authorea Preprints

Paul Mugume Okwija

Joanitta Nabacwa

Sylvia Imanirakiza

Alvin Bagetuuma Kimbowa

Cosmas Mwikirize

...

2023/10/30

Predicting sweetpotato sensory attributes using image analysis. DigiEye and image analysis as a breeding tool

Joyce Nakatumba-Nabende

Ann Lisa Nabiryo

Claire Babirye

Jeremy Francis Tusubira

Andrew Katumba

...

2023

Implementing Smartphone-Based Telemedicine for Cervical Cancer Screening in Uganda: Qualitative Study of Stakeholders’ Perceptions

Journal of Medical Internet Research

Johnblack K Kabukye

Jane Namugga

Collins Jackson Mpamani

Andrew Katumba

Joyce Nakatumba-Nabende

...

2023/10/2

Standard operating procedure for image capture in sweetpotato and potato, and sensory attribute prediction. Work package 3

Joyce Nakatumba-Nabende

Andrew Katumba

Sudi Murindanyi

Ann Lisa Nabiryo

Claire Babirye

...

2023

Using machine learning for image-based analysis of sweetpotato root sensory attributes

Smart Agricultural Technology

Joyce Nakatumba-Nabende

Claire Babirye

Jeremy Francis Tusubira

Henry Mutegeki

Ann Lisa Nabiryo

...

2023/10/1

Fruit fly automatic detection and monitoring techniques: A review

Florence Lello

Mussa Dida

Mbazingwa Mkiramweni

Joseph Matiko

Roseline Akol

...

2023/7/29

Training of photonic reservoir computing systems

2023/6/20

Explainable Machine Learning Models for Swahili News Classification

Sudi Murindanyi

Brian Afedra Yiiki

Andrew Katumba

Joyce Nakatumba-Nabende

2023/12/15

A Comparison of Topic Modeling and Classification Machine Learning Algorithms on Luganda Data

Bateesa Saul Tobius

Claire Babirye

Joyce Nakatumba-Nabende

Andrew Katumba

2022

Machine learning-aided optical performance monitoring techniques: A review

Dativa K Tizikara

Jonathan Serugunda

Andrew Katumba

2022/1/3

Predicting Sweepotato Sensory Attributes Using DigiEye and Image Analysis as a Breeding Tool

Joyce Nakatumba-Nabende

Ann Lisa Nabiryo

Claire Babirye

Jeremy Francis Tusubira

Andrew Katumba

...

2022

Design for Robust and Efficient Neuromorphic Photonic Accelerator

Samarth Aggarwal

Bowei Dong

June Sang Lee

Mengyun Wang

Andrew Katumba

...

2022/12/11

See List of Professors in Andrew Katumba University(Universiteit Gent)

Co-Authors

H-index: 38
Joni Dambre

Joni Dambre

Universiteit Gent

H-index: 35
Geert Morthier

Geert Morthier

Universiteit Gent

H-index: 32
Xin (Scott) Yin

Xin (Scott) Yin

Universiteit Gent

H-index: 9
Matthias Freiberger

Matthias Freiberger

Universiteit Gent

H-index: 6
Alessio Lugnan

Alessio Lugnan

Universiteit Gent

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