Pavan Kumar MP

Pavan Kumar MP

Ph.D. in Computer Science Engineering ๐ŸŽ“๐Ÿ’ป

NSYSU, Kaohsiung, Taiwan.๐ŸŒ๐Ÿซ

Biography

I am Pavan Kumar MP, a Ph.D. graduate ๐ŸŽ“ from the Department of Computer Science and Engineering at National Sun Yat-sen University, where I completed my research under the guidance of Professor Kun Chih (Jimmy) Chen ๐Ÿง‘โ€๐Ÿซ. Additionally, I engaged in an enriching research internship ๐Ÿงช at NCHC ๅœ‹ๅฎถ้ซ˜้€Ÿ็ถฒ่ทฏ่ˆ‡่จˆ็ฎ—ไธญๅฟƒ, Tainan, working under the mentorship of Dr. Chen and Dr. Chang.

My research passions โค๏ธโ€๐Ÿ”ฅ span diverse areas, including source-free unsupervised domain adaptation ๐ŸŒ, pseudo-labeling techniques for unsupervised learning ๐Ÿงฉ, cutting-edge transfer learning algorithms ๐Ÿ”„, the intricate field of time series analysis ๐Ÿ“ˆ, and the real-world applications of Industry 4.0 ๐Ÿญ.

Interests

  • Machine Learning ๐Ÿค–
  • Time Series Analysis ๐Ÿ“ˆ
  • Transfer Learning Algorithms ๐Ÿ”„
  • Unsupervised Domain Adaptation ๐ŸŒ
  • Predictive Maintenance ๐Ÿ”ง
  • RTL Design and Verification โœ…

Education

  • Ph.D. in Computer Science Engineering ๐ŸŽ“๐Ÿ’ป, 2020/10 โ€“ 2024/10 ๐Ÿ“…

    National Sun Yat-Sen University, Kaohsiung, Taiwan ๐ŸŒ๐Ÿซ

  • Master of Technology in VLSI Design ๐ŸŽ“๐Ÿ”ฌ, 2017/08 โ€“ 2019/08 ๐Ÿ“…

    BNM Institute of Technology, Bangalore, India ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿซ

  • Bachelor of Engineering in Electronics and Communication ๐ŸŽ“๐Ÿ”ง, 2012/08 โ€“ 2016/08 ๐Ÿ“…

    Visvesvaraya Technological University, India ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿซ

Skills

Python ๐Ÿ’ป

๐Ÿ’ป Proficient in Python for programming and data analysis ๐Ÿ“ˆ ๐Ÿ“–

Verilog ๐Ÿ’ป

๐Ÿ’ป Experienced in Verilog for digital design and hardware description ๐Ÿ”ง ๐Ÿ“ƒ

R ๐Ÿ“š

๐Ÿ“š Proficient in R programming for statistical analysis and data visualization ๐Ÿ“ˆ ๐Ÿ“‘

Statistics ๐Ÿ“Š

๐Ÿ“Š Experienced in statistical methods and data analysis techniques ๐Ÿ“‰ ๐Ÿ“„

HTML ๐ŸŽฅ

๐ŸŽฅ Experienced in HTML for web page structuring and design ๐Ÿ“– ๐Ÿ“„

Website Development ๐ŸŒŽ

๐ŸŒŽ Skilled in developing and maintaining websites ๐Ÿ“ˆ ๐Ÿ“–

Experience

 
 
 
 
 

Intern ๐Ÿ’ผ

National Center for High-Performance Computing ๐Ÿš€

Sep 2023 โ€“ May 2024 Tainan City, Taiwan ๐Ÿ‡น๐Ÿ‡ผ

Responsibilities include:

  • ๐ŸŒŒ Physics-informed Neural Network
  • ๐Ÿค– Large Language Model
  • ๐Ÿ Python (Programming Language)
  • โšก High Performance Computing (HPC)
  • ๐Ÿ”— TensorFlow
  • ๐Ÿ”ฅ PyTorch
 
 
 
 
 

Teaching Assistant ๐Ÿ‘จโ€๐Ÿซ

National Sun Yat-Sen University ๐ŸŒ

Feb 2022 โ€“ Jul 2022 Taiwan ๐Ÿ‡น๐Ÿ‡ผ

Responsibilities include:

  • ๐Ÿ Programming in Python
  • ๐Ÿ‘จโ€๐Ÿ’ป Under Professor Steve Haga
  • ๐Ÿ Python (Programming Language)
  • ๐Ÿ–ฅ๏ธ Computer architecture
  • ๐Ÿ‘จโ€๐Ÿ’ป Under Professor Kun-Chih (Jimmy) Chen
  • ๐Ÿ–ฅ๏ธ Computer Architecture
 
 
 
 
 

Research Assistant ๐Ÿ”ฌ

National Sun Yat-Sen University ๐ŸŒ

Nov 2020 โ€“ Present Taiwan ๐Ÿ‡น๐Ÿ‡ผ

Responsibilities include:

  • ๐Ÿ”ง Edge Deep Transfer Learning architecture and algorithm Design for Rotary machinery health evaluation and Management
  • ๐Ÿง  Deep Transfer learning Algorithms
  • ๐Ÿญ Industry 4.0 applications
  • ๐Ÿ Python (Programming Language)
  • ๐Ÿค– Machine Learning Algorithms
 
 
 
 
 

SoC Design Verification Intern ๐Ÿ’ป

SION Semiconductors Private Limited ๐Ÿ”ฌ

Aug 2018 โ€“ Mar 2019 Bangalore ๐Ÿ‡ฎ๐Ÿ‡ณ

Responsibilities include:

  • ๐Ÿง  Design and verification of protocols like QPB, SPI, AHB, USB, and memory controllers like DDR1, DDR2 using Verilog and SystemVerilog code
  • ๐Ÿ”ง Tools: ModelSim and QuestaSim
  • ๐Ÿ’ป SystemVerilog
  • ๐Ÿ’ป Verilog
 
 
 
 
 

PCB Check-in Engineer ๐Ÿ”ง

Sierra Circuits ๐Ÿ’ป

Oct 2016 โ€“ Oct 2020 Bangalore Urban, Karnataka, India ๐Ÿ‡ฎ๐Ÿ‡ณ

Responsibilities include:

  • ๐Ÿ”ง Specialist in checking the fabrication details, manufacturing capabilities of the PCB
  • ๐Ÿ“ Suggesting clients for best alternatives choices for their requirements
  • ๐Ÿ’ฐ Providing the best quote
  • ๐Ÿ“š Learning the PCB flow from beginning to end
  • ๐Ÿ”ฉ Printed Circuit Board (PCB) Design
  • ๐Ÿญ Printed Circuit Board Manufacturing

Accomplishยญments

Scientific Computing with Python ๐Ÿ๐Ÿ’ป

freeCodeCamp ๐Ÿ’ป Oct 2022 โ€“ Nov 2022
๐Ÿ“‘ Learn to analyze and manipulate data using Python, covering data structures, algorithms, and complex calculations. ๐Ÿ“ˆ๐Ÿ“‰
See certificate

Machine Learning with Python ๐Ÿค–๐Ÿ

freeCodeCamp ๐Ÿ’ป Oct 2022 โ€“ Nov 2022
๐Ÿ’ป Build neural networks using TensorFlow and explore NLP and reinforcement learning techniques. ๐Ÿค–๐Ÿ“ˆ
See certificate

Meet the Team

Doctoral Degree Supervisor

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Pavan Kumar MP

Ph.D. in Computer Science Engineering ๐ŸŽ“๐Ÿ’ป

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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

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Contact

๐Ÿ“ง Email: pavanforyou94@gmail.com โœ‰๏ธ๐Ÿ“ฌ๐Ÿ“ฅ
๐Ÿ“ฑ WhatsApp: +91-9738584016 ๐Ÿ“ฒ๐Ÿ’ฌ๐Ÿ“ž
๐Ÿ”— Line ID: pawankumarmp ๐Ÿ“ถ๐Ÿ”Œ๐ŸŸข