Academic Profile
Research publications, educational background, teaching experience, and academic achievements in Machine Learning, Computer Vision, and Autonomous Systems
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Publications
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Featured
0+ years
Experience
Publications
Selected publications from my research in additive manufacturing, machine learning, and quality control.
294
Total Citations
9
h-index
7
i10-index
17
Publications
Showing 10 of 17 publications
MIMO system identification and uncertainty calibration with a limited amount of data using transfer learning
conference20253 citations
Authors: Mostafa Rahmani Dehaghani, Pouyan Sajadi, Yifan Tang, J Akhavan, G Gary Wang
International Journal of Systems Science, Vol. 56, No. 3, pp. 598-617
Multiple-input multiple-output (MIMO) systems are fundamental in numerous advanced engineering applications, from aerospace to telecommunications, where precise system identification is critical for optimal performance. However, the identification of such systems often faces significant hurdles due ...
Enhancing Surface Quality in Hybrid FFF Using Real-Time Monitoring and Point Cloud Analysis
conference2025
Authors: Javid Akhavan, Chaitanya Krishna Vallabh, Souran Manoochehri
This study presents an active surface quality enhancement methodology for Fused Filament Fabrication (FFF), leveraging a laser engraver module to address real-time surface quality issues. Typical FFF prints suffer from surface quality issues such as uneven surfaces, rough surfaces, and stringing. Tr...
Online melt pool monitoring using a deep transformer image processing solution
conference2025
Authors: Javid Akhavan, Jiaqi Lyu, Souran Manoochehri
Imaging Science: Computer Vision, Image and Signal Processing, Pattern Recognition, Vol. 3, pp. 153
In the Industry 4.0 era, additive manufacturing (AM), particularly metal AM, has become a transformative technology due to its ability to efficiently produce complex geometries. Despite its potential, the industry still faces challenges in implementing robust real-time process monitoring algorithms....
Integration of Sensor Modules and Machine Learning Methods for Real-Time Quality Monitoring in Additive Manufacturing
conference2025
Authors: Javid Akhavan
Additive manufacturing (AM) has great advances in industries such as aerospace, healthcare, and automotive, due to its capability to fabricate intricate parts through layer-by-layer material deposition. Ensuring high-quality production remains a challenge due to the complexity of AM processes and th...
REAL-TIME PRINT TRACKING IN METAL ADDITIVE MANUFACTURING USING ACOUSTIC EMISSION SENSORS AND VISION TRANSFORMER ALGORITHMS
conference20243 citations
Authors: Javid Akhavan, Ke Xu, Chaitanya Krishna, Prasad Vallabh, Souran Manoochehri
Directed Energy Deposition (DED) is an additive manufacturing (AM) method with applications in the aerospace, automotive, and healthcare sectors. In such complex and high-stakes applications, accurate and reliable monitoring is indispensable for assuring fabrication quality. Conventional monitoring ...
Binocular Model: A deep learning solution for online melt pool temperature analysis using dual-wavelength Imaging Pyrometry
conference20241 citations
Authors: Javid Akhavan, Chaitanya Krishna Vallabh, Xiayun Zhao, Souran Manoochehri
arXiv preprint arXiv:2408.11126
In metal Additive Manufacturing (AM), monitoring the temperature of the Melt Pool (MP) is crucial for ensuring part quality, process stability, defect prevention, and overall process optimization. Traditional methods, are slow to converge and require extensive manual effort to translate data into ac...
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
conference202368 citations
Authors: Javid Akhavan, Jiaqi Lyu, Souran Manoochehri
Journal of Intelligent Manufacturing, pp. 1-18
This work presents an in-situ quality assessment and improvement technique using point cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) fabrication to improve the quality and accuracy of fabricated artifacts. The top surface point-cloud containing top surface...
Privacy-preserving federated learning: Application to behind-the-meter solar photovoltaic generation forecasting
conference202343 citations
Authors: Paniz Hosseini, Saman Taheri, Javid Akhavan, Ali Razban
Energy Conversion and Management, Vol. 283, pp. 116900
The growing usage of decentralized renewable energy sources has made accurate estimation of their aggregated generation crucial for maintaining grid flexibility and reliability. However, the majority of distributed photovoltaic (PV) systems are behind-the-meter (BTM) and invisible to utilities, lead...
Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm
conference202332 citations
Authors: Ali Mohammadzadeh, Mahdi Akbari Zarkesh, Pouria Haji Shahmohamd, Javid Akhavan, Amit Chhabra
The Journal of Supercomputing, Vol. 79, No. 16, pp. 18569-18604
Fog computing paradigm attempts to provide diverse processing at the edge of IoT networks. Energy usage being one of the important elements that may have a direct influence on the performance of fog environment. Effective scheduling systems, in which activities are mapped on the greatest feasible re...
Thermal history based prediction of interlayer bond strength in parts manufactured by material extrusion additive manufacturing
conference202311 citations
Authors: Youmna Mahmoud, Jiaqi Lyu, Javid Akhavan, Ke Xu, Souran Manoochehri
The International Journal of Advanced Manufacturing Technology, Vol. 126, No. 9, pp. 3813-3829
Material extrusion additive manufacturing, also known as fused filament fabrication (FFF), is currently one of the most widely used technologies. Although promising, the technology is prone to several defects including poor surface quality, low dimensional accuracy, and inadequate mechanical perform...
Education
Doctor of Philosophy (PhD) in Robotics & Artificial Intelligence
Stevens Institute of Technology
Hoboken, NJ
2019 - Present
GPA: 4.0★ Perfect
Honors & Awards:
- ▪Perfect 4.0 GPA
- ▪Research focus on autonomous defect detection in additive manufacturing
- ▪Multiple peer-reviewed publications in top conferences
- ▪Patent pending for Reinforcement Learning-based controller
Relevant Coursework:
Deep LearningComputer VisionReinforcement LearningAdvanced Machine LearningAutonomous SystemsSmart Manufacturing
Master of Engineering in Robotics & Artificial Intelligence
Stevens Institute of Technology
Hoboken, NJ
2019 - 2021
GPA: 4.0★ Perfect
Honors & Awards:
- ▪Perfect 4.0 GPA
Relevant Coursework:
Machine LearningRoboticsControl SystemsMechatronics
Graduate Certificate in Machine Learning
Stevens Institute of Technology - Department of Computer Science
Hoboken, NJ
2021 - 2022
GPA: 4.0★ Perfect
Honors & Awards:
- ▪Perfect 4.0 GPA
Relevant Coursework:
Deep Neural NetworksStatistical LearningData MiningAdvanced Algorithms
Teaching Experience
Academic teaching and mentorship positions in robotics, mechatronics, and computational methods
Teaching Assistant
Stevens Institute of Technology
Introduction To Robotics & Mechatronics Course
Hoboken, NJ
Jan 2020 - Present
- ▪Proctoring laboratory sessions involved various robot programming, circuit design, and teamwork
- ▪Holding office hours to help students and give guidance on their project progress
Lecturer
Trinity Educational Center
SAT Exam Quantitative Reasoning
Tehran, Iran
May 2018 - Jan 2019
- ▪Prepare and deliver lectures to participants of the SAT exam on linear algebra, single and system of linear equations, statistics, and advanced mathematics
Teaching Assistants Manager
Sharif University of Technology
Mechanism Design Course
Tehran, Iran
Aug 2015 - Jan 2019
- ▪Facilitated and coordinated students for projects and coursework
- ▪Creation and delivery of lectures on Simulink and Adams applications for dynamically simulating various mechanisms
Teaching Assistant
Sharif University of Technology
Numerical Computations Course
Tehran, Iran
Aug 2015 - Jan 2019
- ▪Designed and developed an auto-grading application to automate homework gradings in various domains
- ▪Teaching MATLAB, numerical methods for linear and nonlinear equations, numerical integration, and differentiation
- ▪Led and organized TAs for class activities and homework
Test Scores
Download TranscriptGRE
Overall: 322
Quantitative
170/170
Verbal
152/170
TOEFL
Overall: 98
Certificates
University of Alberta
DeepLearning.AI
HSE (Health, Safety, and Environment)
Isfahan Oil Refinery Company