Pavan Kumar MP

Pavan Kumar MP

Ph.D. in Computer Science Engineering 🎓💻

NSYSU, Kaohsiung, Taiwan.🌏🏫

Biography

I am Pavan Kumar MP, Ph.D., a Postdoctoral Researcher at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. I earned my Ph.D. in Computer Science and Engineering from National Sun Yat-sen University, Taiwan, under the supervision of Prof. Kun-Chih (Jimmy) Chen. My research focuses on trustworthy industrial artificial intelligence, physics-conditioned large language models, predictive maintenance, bearing fault diagnosis, battery state-of-health and remaining useful life prediction, and domain adaptation.

My research passions ❤️‍🔥 span diverse areas, including source-free unsupervised domain adaptation 🌐, pseudo-labeling techniques for unsupervised learning 🧩, cutting-edge transfer learning algorithms 🔄, the intricate field of time series analysis 📈, and the real-world applications of Industry 4.0 🏭.

Interests

  • Machine Learning 🤖
  • Time Series Analysis 📈
  • Transfer Learning Algorithms 🔄
  • Unsupervised Domain Adaptation 🌐
  • Predictive Maintenance 🔧
  • RTL Design and Verification ✅

Education

  • Ph.D. in Computer Science Engineering 🎓💻, 2020/10 – 2024/10 📅

    National Sun Yat-Sen University, Kaohsiung, Taiwan 🌏🏫

  • Master of Technology in VLSI Design 🎓🔬, 2017/08 – 2019/08 📅

    BNM Institute of Technology, Bangalore, India 🇮🇳🏫

  • Bachelor of Engineering in Electronics and Communication 🎓🔧, 2012/08 – 2016/08 📅

    Visvesvaraya Technological University, India 🇮🇳🏫

Skills

Python 💻

💻 Proficient in Python for programming and data analysis 📈 📖

Verilog 💻

💻 Experienced in Verilog for digital design and hardware description 🔧 📃

R 📚

📚 Proficient in R programming for statistical analysis and data visualization 📈 📑

Statistics 📊

📊 Experienced in statistical methods and data analysis techniques 📉 📄

HTML 🎥

🎥 Experienced in HTML for web page structuring and design 📖 📄

Website Development 🌎

🌎 Skilled in developing and maintaining websites 📈 📖

Experience

 
 
 
 
 

Postdoctoral Researcher

King Fahd University of Petroleum and Minerals (KFUPM)

Nov 2025 – Present Dhahran, Saudi Arabia

Research on physics-conditioned large language models for fault diagnosis, battery state-of-health and remaining useful life, turbofan prognostics, and industrial automation.

 
 
 
 
 

Intern 💼

National Center for High-Performance Computing 🚀

Sep 2023 – May 2024 Tainan City, Taiwan 🇹🇼

Responsibilities include:

  • 🌌 Physics-informed Neural Network
  • 🤖 Large Language Model
  • 🐍 Python (Programming Language)
  • ⚡ High Performance Computing (HPC)
  • 🔗 TensorFlow
  • 🔥 PyTorch
 
 
 
 
 

Teaching Assistant 👨‍🏫

National Sun Yat-Sen University 🌏

Feb 2022 – Jul 2022 Taiwan 🇹🇼

Responsibilities include:

  • 🐍 Programming in Python
  • 👨‍💻 Under Professor Steve Haga
  • 🐍 Python (Programming Language)
  • 🖥️ Computer architecture
  • 👨‍💻 Under Professor Kun-Chih (Jimmy) Chen
  • 🖥️ Computer Architecture
 
 
 
 
 

Research Assistant 🔬

National Sun Yat-Sen University 🌏

Nov 2020 – Present Taiwan 🇹🇼

Responsibilities include:

  • 🔧 Edge Deep Transfer Learning architecture and algorithm Design for Rotary machinery health evaluation and Management
  • 🧠 Deep Transfer learning Algorithms
  • 🏭 Industry 4.0 applications
  • 🐍 Python (Programming Language)
  • 🤖 Machine Learning Algorithms
 
 
 
 
 

SoC Design Verification Intern 💻

SION Semiconductors Private Limited 🔬

Aug 2018 – Mar 2019 Bangalore 🇮🇳

Responsibilities include:

  • 🧠 Design and verification of protocols like QPB, SPI, AHB, USB, and memory controllers like DDR1, DDR2 using Verilog and SystemVerilog code
  • 🔧 Tools: ModelSim and QuestaSim
  • 💻 SystemVerilog
  • 💻 Verilog
 
 
 
 
 

PCB Check-in Engineer 🔧

Sierra Circuits 💻

Oct 2016 – Oct 2020 Bangalore Urban, Karnataka, India 🇮🇳

Responsibilities include:

  • 🔧 Specialist in checking the fabrication details, manufacturing capabilities of the PCB
  • 📝 Suggesting clients for best alternatives choices for their requirements
  • 💰 Providing the best quote
  • 📚 Learning the PCB flow from beginning to end
  • 🔩 Printed Circuit Board (PCB) Design
  • 🏭 Printed Circuit Board Manufacturing

Accomplish­ments

Scientific Computing with Python 🐍💻

freeCodeCamp 💻 Oct 2022 – Nov 2022
📑 Learn to analyze and manipulate data using Python, covering data structures, algorithms, and complex calculations. 📈📉
See certificate

Machine Learning with Python 🤖🐍

freeCodeCamp 💻 Oct 2022 – Nov 2022
💻 Build neural networks using TensorFlow and explore NLP and reinforcement learning techniques. 🤖📈
See certificate

Meet the Team

Doctoral Degree Supervisor

Avatar

Pavan Kumar MP

Ph.D. in Computer Science Engineering 🎓💻

Avatar

Kun-Chih (Jimmy) Chen

Associate Professor, IEEE Senior Member

Recent & Upcoming Talks

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Jun 1, 2030 1:00 PM — 3:00 PM Source Themes HQ
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Recent Publications

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Mitigate the Negative TL using Adaptive Thresholding for Fault Diagnosis

P. K. MP and K. -C. J. Chen, ‘Mitigate the Negative TL using Adaptive Thresholding for Fault Diagnosis,’ 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Berlin, Germany, 2023, pp. 1-6, doi: 10.1109/COINS57856.2023.10189313.
P. K. MP, K. -C. J. Chen
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
Mitigate the Negative TL using Adaptive Thresholding for Fault Diagnosis

NN-based Bearing Fault Diagnosis Using Exponential Power Entropy and a Decision Threshold

P. K. MP and K. -C. Jimmy Chen, ‘NN-based Bearing Fault Diagnosis Using Exponential Power Entropy and a Decision Threshold,’ 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Berlin, Germany, 2023, pp. 1-5, doi: 10.1109/COINS57856.2023.10189273.
P. K. MP, K. -C. Jimmy Chen
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
NN-based Bearing Fault Diagnosis Using Exponential Power Entropy and a Decision Threshold

Time Series-Based Sensor Selection and Lightweight Neural Architecture Search for RUL Estimation in Future Industry 4.0

P. Kumar Mp, Z. -J. Gao and K. -C. Chen, ‘Time Series-Based Sensor Selection and Lightweight Neural Architecture Search for RUL Estimation in Future Industry 4.0,’ in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 2, pp. 514-523, June 2023, doi: 10.1109/JETCAS.2023.3248642.
P. Kumar Mp, Z. -J. Gao, K. -C. Chen
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
Time Series-Based Sensor Selection and Lightweight Neural Architecture Search for RUL Estimation in Future Industry 4.0

Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning

M. Pavan Kumar, C. -J. Tang and K. -C. J. Chen, ‘Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning,’ 2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Hsinchu, Taiwan, 2022, pp. 1-4, doi: 10.1109/VLSI-DAT54769.2022.9768050.
M. Pavan Kumar, C. -J. Tang, K. -C. J. Chen
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning

Design and Verification of DDR SDRAM Memory Controller Using SystemVerilog For Higher Coverage

P. Kumar M.P. and S. K. Panda, ‘Design and Verification of DDR SDRAM Memory Controller Using SystemVerilog For Higher Coverage,’ 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, India, 2019, pp. 689-694, doi: 10.1109/ICCS45141.2019.9065407.
P. Kumar M.P., S. K. Panda
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
Design and Verification of DDR SDRAM Memory Controller Using SystemVerilog For Higher Coverage

Enhancing Learning in Fine-Tuned Transfer Learning for Rotating Machinery via Negative Transfer Mitigation

P. Kumar MP, Z. -X. Tu, H. -C. Chen, and K. -C. Chen, ‘Enhancing Learning in Fine-Tuned Transfer Learning for Rotating Machinery via Negative Transfer Mitigation,’ in IEEE Transactions on Instrumentation and Measurement, to be published in June 2024.
Pavan Kumar MP, Zhe-Xiang Tu, Hsu-Chi Chen, Kun-Chih (Jimmy) Chen
PDF Code Dataset Poster Slides Video Source Document IEEE Xplore
Enhancing Learning in Fine-Tuned Transfer Learning for Rotating Machinery via Negative Transfer Mitigation

Fine-Tuned Based Transfer Learning with Temporal Attention and Physics-Informed Loss

P. Kumar MP, Z. -X. Tu, and K. -C. Chen, ‘Fine-Tuned Based Transfer Learning with Temporal Attention and Physics-Informed Loss,’ in IEEE International Conference on Artificial Intelligence Circuits and Systems (IEEE AICAS'24), Apr. 2024.
Pavan Kumar MP, Zhe-Xiang Tu, Kun-Chih (Jimmy) Chen
PDF Code Dataset Poster Slides Video Source Document DOI IEEE Xplore
Fine-Tuned Based Transfer Learning with Temporal Attention and Physics-Informed Loss

Mitigating Negative Transfer Learning In Source Free-Unsupervised Domain Adaptation for Rotating Machinery Fault Diagnosis

P. Kumar MP, Z. -X. Tu, H. -C. Chen, and K. -C. Chen, ‘Mitigating Negative Transfer Learning In Source Free-Unsupervised Domain Adaptation for Rotating Machinery Fault Diagnosis,’ to be published in September 2024.
Pavan Kumar MP, Zhe-Xiang Tu, Hsu-Chi Chen, Kun-Chih (Jimmy) Chen
PDF Code Dataset Poster Slides Video Source Document IEEE Xplore
Mitigating Negative Transfer Learning In Source Free-Unsupervised Domain Adaptation for Rotating Machinery Fault Diagnosis

Gallery

Contact

📧 Email: pavanforyou94@gmail.com ✉️📬📥