プロフィール詳細

プロジェクトを作成

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Dr. Ambuj ..に依頼

India

AI & Embedded Systems Professional | Specialized in ML/DL Model Development and Deployment

プロフィール概要

I am an AI, Robotics, and Embedded Systems researcher with extensive hands-on experience in Machine Learning, Deep Learning, optimization algorithms, and real-time control architectures for autonomous ground vehicles. My work spans advanced sensor fusion (GPS–IMU integration), recurrent neural network–based adaptive control, bio-inspired optimization, AI-driven agricultural robotics, and algorithm development for intelligent navigation systems. I have contributed to multiple high-impact research projects, several of which involve GPU-accelerated computation, multi-GPS triangulation, energy-optimized AGV operations, and dynamic vision-guided control frameworks. I have authored and co-authored research papers submitted to leading journals such as Engineering Applications of Artificial Intelligence, Computers and Electronics in Agriculture, and Cleaner Energy Systems, with projects involving real-world field deployments in agricultural environments. My work integrates experimental design, mathematical modelling, Lyapunov stability analysis, AI-based control strategies, adaptive filters, optimization heuristics, and embedded systems programming. I also have significant experience in preparing publication-ready manuscripts, responding to reviewer comments, and developing research prototypes from concept to implementation. Core Skills and Expertise AI & Machine Learning: RNNs, ANFIS, LSTM, CNNs, adaptive dynamic programming Robotics & Autonomous Systems: Path planning, sensor fusion, real-time control, ROS-based systems Optimization Algorithms: Particle Swarm Optimization, Golden Section Search, bio-inspired metaheuristics Embedded Systems: Microcontrollers, real-time data acquisition, actuator/sensor integration Geospatial & Navigation Systems: Multi-GPS triangulation, IMU-based heading estimation, RTK positioning Agricultural Robotics: AGV navigation, vision-guided weeding robots, energy-optimized mobility Scientific Computing: Python, MATLAB, CUDA/GPU acceleration Academic Writing: LaTeX typesetting, manuscript preparation, literature reviews, research editing Control Theory: Lyapunov stability, complementary filters, adaptive control

専門分野

• ☆ Agricultural Engineering
• ☆ Agricultural Technology
• ☆ Farm Management
• ☆ Electrical Engineering
• ☆ Signal Processing
• ☆ Computer Engineering
• ☆ Instrumentation Engineering
• ☆ Engineering Education
• ☆ Computer Science
• ☆ Computer Hardware
• ☆ Parallel Computing
• ☆ Software Engineering
• ☆ Facial Recognition Technology
• ☆ Information Technology
• ☆ Online Privacy
• ☆ Internet of Things
• ☆ Robot Programming
• ☆ Industrial Engineering
• ☆ Industrial Operations Research
• ☆ Automation
• ☆ Manufacturing Automation
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Fuzzy Logic
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Bayesian Statistics
• ☆ Quantum Statistics
• ☆ Statistical Review
• ☆ Health Data Analysis
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Mathematics Education
• ☆ Mathematical Control Theory
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Chaos Theory
• ☆ Information Systems
• ☆ Information Security
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ Scikit-learn

サービス

• Writing

Writing Technical Writing, Creative Writing, Newswriting, General Proofreading & Editing

職務経験

PMRF Research Scholar

Indian Institute of Technology Kharagpur

7月 2022 - 現在

学歴

Ph.D

Indian Institute of Technology Kharagpur

1月 2025 - 現在

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Ambuj, Rajendra Machavaram (2025). Weed image classification with generative AI using latent denoising diffusion probabilistic model and Wiener filtering approach . Franklin Open.

Ambuj, Rajendra Machavaram (2025). Advanced graph-theoretical modelling and optimized kinematic path planning for minimizing energy and time in autonomous laser land levelling operation . Next Research.

Ambuj, Rajendra Machavaram (2025). Intelligent path planning for autonomous ground vehicles in dynamic environments utilizing adaptive Neuro-Fuzzy control . Engineering Applications of Artificial Intelligence.

Ambuj, Rajendra Machavaram (2024). Optimizing energy expenditure in agricultural autonomous ground vehicles through a GPU-accelerated particle swarm optimization-artificial neural network framework . Cleaner Energy Systems.

Ambuj, Gajendra Singh, V. K. Tewari, Vinod Choudhary (2024). Biomechanical analysis of real‐time vibration exposure during mini combine harvester operation: A hybrid ANN–GA approach . Journal of Field Robotics.

Ambuj, Harsh Nagar, Ayan Paul, Rajendra Machavaram, Peeyush Soni (2024). “Reinforcement learning particle swarm optimization based trajectory planning of autonomous ground vehicle using 2D LiDAR point cloud” . Robotics and Autonomous Systems.