World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8992
World Ranking
7901
National Ranking
473

Overview

Rustam Stolkin is affiliated with the University of Birmingham in the United Kingdom. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in several subfields. These include Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering, and Mechanical Engineering.

Their work encompasses various topics related to robotics and related technologies. Key research areas include:

  • Robot Manipulation and Learning
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Teleoperation and Haptic Systems
  • Advanced Vision and Imaging
  • Advancements in Battery Materials
  • Advanced Manufacturing and Logistics Optimization

Rustam Stolkin has been published in a number of academic venues, often contributing to the following:

  • arXiv (Cornell University)
  • Frontiers in Robotics and AI
  • IEEE Access
  • Robotics
  • SSRN Electronic Journal

Some recent papers provide insights into the scope of their research contributions:

  • "Roadmap for a sustainable circular economy in lithium-ion and future battery technologies" (2022) published in Journal of Physics Energy
  • "Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification" (2020) published in Knowledge-Based Systems
  • "Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images" (2020) published in Remote Sensing
  • "Motion Planning and Control of an Omnidirectional Mobile Robot in Dynamic Environments" (2021) published in Robotics
  • "Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration" (2020) published in Robotics and Autonomous Systems

Rustam Stolkin collaborates frequently with several co-authors, including:

  • Alireza Rastegarpanah
  • Manolis Chiou
  • Ronghua Shang
  • Licheng Jiao
  • Naresh Marturi

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Optimal AUV path planning for extended missions in complex, fast-flowing estuarine environments

    D. Kruger;R. Stolkin;A. Blum;J. Briganti

  • One-shot learning and generation of dexterous grasps for novel objects

    Marek Kopicki;Renaud Detry;Maxime Adjigble;Rustam Stolkin

  • Let's Push Things Forward: A Survey on Robot Pushing.

    Jochen Stüber;Claudio Zito;Rustam Stolkin

  • An Evolutionary Multiobjective Approach to Sparse Reconstruction

    Lin Li;Xin Yao;Rustam Stolkin;Maoguo Gong

  • Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation

    Yangyang Li;Licheng Jiao;Ronghua Shang;Rustam Stolkin

  • Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

  • SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters

    Ronghua Shang;Jiaming Wang;Licheng Jiao;Rustam Stolkin

  • Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

    Ronghua Shang;Jianghai He;Jiaming Wang;Kaiming Xu

  • A Novel Weakly-Supervised Approach for RGB-D-Based Nuclear Waste Object Detection

    Li Sun;Cheng Zhao;Zhi Yan;Pengcheng Liu

  • Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos

    Miao Ma;Miao Ma;Miao Ma;Naresh Marturi;Yibin Li;Ales Leonardis

  • Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images

    Ronghua Shang;Jiyu Zhang;Licheng Jiao;Yangyang Li

  • Dynamic grasp and trajectory planning for moving objects

    Naresh Marturi;Marek Sewer Kopicki;Alireza Rastegarpanah;Vijaykumar Rajasekaran

  • Subspace learning-based graph regularized feature selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

  • Learning to predict how rigid objects behave under simple manipulation

    Marek Kopicki;Sebastian Zurek;Rustam Stolkin;Thomas Morwald

  • A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation

    Ronghua Shang;Pingping Tian;Licheng Jiao;Rustam Stolkin

  • Improved Memetic Algorithm Based on Route Distance Grouping for Multiobjective Large Scale Capacitated Arc Routing Problems

    Ronghua Shang;Kaiyun Dai;Licheng Jiao;Rustam Stolkin

  • Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data.

    Li Sun;Cheng Zhao;Rustam Stolkin

  • Particle Filter Tracking of Camouflaged Targets by Adaptive Fusion of Thermal and Visible Spectra Camera Data

    Mohammed Talha;Rustam Stolkin

  • Towards advanced robotic manipulation for nuclear decommissioning: A pilot study on tele-operation and autonomy

    Naresh Marturi;Alireza Rastegarpanah;Chie Takahashi;Maxime Adjigble

  • Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation

    Yang Meng;Ronghua Shang;Fanhua Shang;Licheng Jiao

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Ronghua Shang
Ronghua Shang Xidian University
Ales Leonardis
Ales Leonardis University of Birmingham
Tom Duckett
Tom Duckett University of Lincoln
Fatih Porikli
Fatih Porikli Australian National University
Jianke Zhu
Jianke Zhu Zhejiang University
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Matej Kristan
Matej Kristan University of Ljubljana
Michael Felsberg
Michael Felsberg Linköping University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options in Computer Science opens many doors for both new and returning students. One popular route is beginning with an associate's degree online, which provides foundational skills and is typically more affordable and faster to complete than a traditional four-year degree.

For those aiming to advance further, earning a master’s degree can enhance job prospects and salaries, especially in fields where strong technical and analytical abilities are in demand. Learn more about masters degrees that are worth it and find out which programs offer the greatest career and financial returns.

Cost is a concern for many students, but it’s possible to minimize tuition expenses by choosing cheap online college classes. These programs offer flexibility and high-quality education at a fraction of the cost.

Finally, if your academic record isn’t perfect, don’t be discouraged. There are best colleges for low gpa that accept students with a range of GPAs, ensuring that a successful career in computer science remains within reach.

Best Scientists Citing Rustam Stolkin

Trending Scientists

Recently Published Articles