Dr. Ameer Tamoor Khan

Dr. Ameer Tamoor Khan

AI Researcher • Robotics Expert • Innovation Pioneer

drop-in@atkhan.info
atk@plen.ku.dk
+45-71580801

Academic Excellence

1,081

Total Citations

18

H-Index

24

i10-Index

95th

Percentile Citation Performance

Research Impact

Between 2020 and 2025, my research has accumulated over 1,081 citations according to Google Scholar, placing me in the 95th percentile for overall citation performance. This positions me among the top 5% of researchers in my field, with two publications among the top 1% most cited in 2022.

In 2024, my paper on "Human guided cooperative robotic agents in smart home using beetle antennae search" was awarded the Hot Paper Award by Science China Information Sciences, highlighting the high visibility and impact of my work.

Current & Future Research

HalmTDH Platform

Developing a real-time, field-deployable image analysis system with a comprehensive web interface that enables breeders to upload photos and instantly test models for wheat, barley, rye, and triticale analysis including head counts, leaf counts, mask generation, and stubble measurements.

Crop Segmentation Dataset

Building a massive, multi-source dataset for instance segmentation collected under diverse field conditions at KU. The model playground is available at SpikeNet.

LLM-Driven Drone Robotics

Collaborating internationally to build simulated smart robotic systems for UAVs, using large-language-model prompts to autonomously perform agronomic tasks such as targeted spraying, sampling, and in-field monitoring.

Rail Head Wear Analysis

Collaborated with Pakistan Railways to develop a predictive maintenance model for early detection of rail-line wear and tear. See the prototype at RailHeadWear.

Career Timeline

Postdoctoral Researcher

University of Copenhagen, Denmark

April 2023 – Present

Enhancing precision agriculture with computer vision techniques for straw yield estimation.

Ph.D. in Robotics & AI

The Hong Kong Polytechnic University

2018 – 2022

Thesis: Metaheuristic-Based Control Framework for Articulated Robots in Smart Spaces

Ph.D. Exchange Student

Lund University, Sweden

2021 – 2022

Developed multi-fidelity optimization models for robotics using Hypermapper.

BS Electrical Engineering

Pakistan Institute of Engineering and Applied Sciences

2013 – 2017

GPA: 3.85/4.00. Thesis: Tremor Detection and Minimization using Non-invasive Techniques

Technical Expertise

Programming Languages

Python MATLAB C++ JavaScript Java

AI/ML Frameworks

TensorFlow PyTorch Keras Pandas NumPy

Specializations

Computer Vision Robotics Precision Agriculture Optimization Neural Networks

Try My Projects

HalmTDH
Real-time, field-deployable image analysis system for precision agriculture. Upload photos and instantly analyze wheat, barley, rye, and triticale for head counts, leaf analysis, mask generation, and stubble measurements to support efficient straw yield estimation.
Explore Platform
SpikeNet
Advanced computer vision model playground for crop segmentation. Built on a massive, multi-source dataset for instance segmentation of wheat heads, rye, and triticale collected under diverse field conditions for precision agriculture applications.
Try Models
RailHeadWear
Predictive maintenance system for railway infrastructure. Uses image-based analysis and depth estimation to identify rail surface degradation, helping enhance operational safety and reduce downtime through early detection of wear and tear.
View System
WalkNJog
Revolutionary indoor fitness tracking system. Place your laptop or camera in front of you, mirror to your TV, select locations A and B, then watch a miniature character walk from A to B as you walk in place. Track calories burned and distance traveled while staying indoors.
Start Walking

Recent Publications

Publication Statistics

As of 2025, I have authored a total of 33 peer-reviewed publications, including 21 as first author and 12 as co-author. Among these, 29 are journal articles and 4 are conference proceedings or preprints.

LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11
Agriculture, 15(2), 196 (2025) - IF: 3.7
Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation
Artificial Intelligence in Agriculture (2025) - IF: 5.6
Competition of tribes and cooperation of members algorithm: An evolutionary computation approach for model free optimization
Expert Systems with Applications, 265, 125908 (2025) - IF: 8.5
Human guided cooperative robotic agents in smart home using beetle antennae search
Science China Information Sciences, 65(2), 122204 (2022) - IF: 6.2 [Hot Paper Award]