Kamal Chandra Paul

Curriculum Vitae

Updated on: May 17, 2023

Email: kpaul9@uncc.edu, kcpaul.eee@gmail.com 

Google Scholar: https://scholar.google.com/citations?user=w-zkZxAAAAAJ&hl=en

ResearchGate:    www.researchgate.net/profile/Kamal-Chandra-Paul

LinkedIn:      www.linkedin.com/in/kcpaul/ 

Website: https://sites.google.com/view/kcpaul 

Summary of Experience 

• Extensive background and 4+ years of experience in AC and DC arc fault protection using conventional and artificial intelligence-based algorithms

• Experienced in multidisciplinary fields of Electrical and Computer Engineering including power electronics, artificial intelligence, embedded system, computer vision & digital image processing, data analytics, & power system

• 11 peer reviewed publications (8 journal articles, 3 conference proceedings), 249 citations, and 23+ peer reviews (IEEE Journals and IEEE conferences) 

Education

Aug. 2019  – Present

Ph.D., Electrical Engineering, University of North Carolina at Charlotte (UNCC), USA

• CGPA = 3.36 out of 4.00

• Major filed: Power Electronics, ADVISER: Dr. Tiefu Zhao

• Current research: AC and DC arc fault protection using artificial intelligence (AI)

Aug. 2016 – Dec. 2018

M.S., Electrical Engineering, Texas State University, USA

• CGPA = 4.00/4.00

• Major filed: Computer Vision, ADVISER: Dr. Semih Aslan

• Thesis: Real-Time Low-Resolution Face Recognition using Local Binary    Pattern Histograms, Eigenface, and Fisherface Algorithms

Jan. 2005

  – Mar. 2009

B.Sc., Electrical Engineering, Khulna University of Engineering & Technology (KUET), Bangladesh

• CGPA = 4.00/4.00

• Thesis: Perspectives for the present CDMA based communication system 

             Advisor: ANM Enamul Kabir

Feb. 2008

  – June. 2009

Cisco Networking Academy Program (CNAP), Dept. of Computer Science & Engineering, KUET

• CCNA Exploration, Version 4.0

Work and Research Experience 

Aug. 2019 – Present

Graduate Researcher, Renewable Energy and Power Electronics Advance Research Lab, UNCC, USA

• AC arc fault detection using artificial intelligence (AI)

●       Development of AC arc fault generation & testing platform as per IEC62606 standard

●       Designing interfacing and signal conditioning PCB for real-time data collection and testing

●       Development of lightweight AI based algorithm to detect real-time arc fault detection & implementation using commercial microcontroller unit

• PV reliability and safety enhancement

●       Development of PV arc fault generation & testing platform using PV simulator, inverter & arc generator following UL1699B-2018 standard

●       Development of AI based lightweight algorithm for PV arc fault detection, & enhancing PV system reliability and safety

●       Testing the model with real PV system for performance evaluation

■        Safe electric power charging of rolling stock (funded by NC DOT Federal Railroad Administration)

●       Development of EV arc fault protection system for electric locomotive application

●       AI algorithm optimization for implementation in resource-limited embedded hardware (STM32 MCU)

●       Enhancing safety of EV system

Aug. 2016  – Dec. 2018

Graduate Researcher, Texas State University, USA

• Computer Vision and Digital Image Processing

●       Development of MATLAB based graphical user interface (GUI) for digital image processing including various spatial and frequency domain image filters, color and pattern filtering & recognition

●       Low-resolution face recognition using Eigenface, Fisherface and Local Binary Pattern Histogram (LBPH) methods and contrast limited adaptive histogram equalization (CLAHE)

●       Real-time implementation of face recognition algorithm in Raspberry Pi using OpenCV & Python

• Development of an android app for database updating

  • Developed an android app which is used to capture images of different persons with their names and auto updating the face database of the remote computer using Wi-Fi connection, auto re-training the face recognition algorithm with new database, and auto restarting the face recognition system in the computer 

Aug. 2011  – Aug. 2016

Assistant Engineer, Pashchimanchal Gas Company Limited (PGCL), Bangladesh

• Operation and maintenance of natural gas regulating and metering station (RMS)

• Operation of a 40 MMCFD RMS, leading a team of 10 officers & staffs

• Troubleshooting & maintenance of heaters, gas chromatograph (GC), regulators, and relief valve

Teaching Experience  

Aug. 2019 – May. 2021

Teaching Assistant, UNCC, USA

• Lecture: Power Electronics II (Fall’19), Network Theory I (Spring’20), Solid State Microelectronics I (Fall’20), Basic Electrical Engineering (Spring’21) 

Aug. 2016  – Dec. 2018

Teaching Assistant, Texas State University, USA

• Lecture: Electronics I (Fall’16), Electronics II (Spring’17), Senior Design I & II (Fall’17, Spring’18), Electrical Circuits & Devices (Fall’18)  

• Lab: Electronics I (Fall’16), Electronics II (Spring’17), Electrical Circuits & Devices (Fall’18)

Nov. 2010  – Aug. 2011

Lecturer, Electrical Engineering, World University of Bangladesh (WUB), Bangladesh

• Lecture: Power System Analysis, Electronics I, Electrical Machines 

• Lab: Electronics I

Aug. 2009  – Nov. 2010

Lecturer, Electrical Engineering, International University of Business Agriculture & Technology (IUBAT), Bangladesh

• Lecture: Power System Analysis (I & II), Electronics I, Electrical Machines 

• Lab: Power Electronics, Electrical Machines (AC and DC motors, transformers)

Publications  

Peer Reviewed Journals (Google Scholar)

2023

1. M. S. Rahman, K. C. Paul, M. M. Rahman, J. Samuel, J.-C. Thill, M. A.Hossain, and G. M. N. Ali, “Pandemic Vulnerability Index Of Us Cities: A Hybrid Knowledge-Based and Data-Driven Approach,” Sustainable Cities and Society, p. 104570, 2023.

2021

2. M. M. Rahman, K. C. Paul, M. A. Hossain, G. M. N. Ali, M. S. Rahman, and J.-C. Thill, “Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review,” IEEE Access, 2021. (IF = 3.476)

3. G. Ali, M. Rahman, M. Hossain, K. C. Paul, J.-C. Thill, J. Samuel et al., “Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics,” in Healthcare, vol. 9, no. 9. Multidisciplinary Digital Publishing Institute, 2021, p. 1110. (IF=2.012)

4. K. C. Paul and S. Aslan, “An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE,” Optics and Photonics Journal, vol. 11, no. 4, pp. 63–78, 2021. (IF=0.269)

5. Y. Wang, L. Hou, K. C. Paul, Y. Ban, C. Chen, and T. Zhao, “ArcNet: Series AC Arc Fault Detection Based on Raw Current and Convolutional Neural Network,” IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 77–86, 2021. (IF=11.648)

6. M. M. Rahman, G. M. N. Ali, X. J. Li, J. Samuel, K. C. Paul, P. H. Chong, and M. Yakubov, “Socioeconomic factors analysis for COVID-19 us reopening sentiment with Twitter and census data,” Heliyon, vol. 7, no. 2, p. e06200, 2021. (IF=3.776)

2020

7. M. Rahman, J.-C. Thill, K. C. Paul et al., “Covid-19 pandemic severity, lockdown regimes, and people’s mobility: Early evidence from 88 countries,” Sustainability, vol. 12, no. 21, p. 9101, 2020. (IF=3.889)

2012

8. S. K. Ray, D. Paul, T. E. Nur, and K. C. Paul, “A Preview on Simulation of Super-Lift Converter for Grid Connected Solar Installation,” International Journal of Innovation, Management and Technology, vol. 3, no. 2, p. 146, 2012.

Conference proceedings (Google Scholar)

2022

9. K. C. Paul, L. Schweizer, T. Zhao, C. Chen, and Y. Wang, “Series AC Arc Fault Detection Using Decision Tree-Based Machine Learning Algorithm and Raw Current,” in 2022 IEEE Energy Conversion Congress and Exposition (ECCE), 2022, pp. 1–8.

2021

10. K. C. Paul, T. Zhao, C. Chen, Y. Ban, and Y. Wang, “Efficient-ArcNet: Series AC Arc Fault Detection using Lightweight Convolutional Neural Network,” in 2021 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2021, pp. 1327–1333

2020

11. M. M. Biswas, S. R. Akhter, and K. C. Paul, “Power Quality Analysis for Distributed Generation and Electric Vehicle Integrated Distribution System,” in 2020 55th International Universities Power Engineering Conference (UPEC). IEEE, 2020, pp. 1–6.

MS Thesis

2018

12. K. C. Paul, “Real-Time Low-Resolution Face Recognition using Local Binary Pattern Histograms, Eigenface, and Fisherface Algorithms,” Texas State University, 2018 (MS Thesis)

Other Scholarly Activities  

• Technical Peer Reviewer for International Power Electronics Journals and Conferences

• IEEE Energy Conversion Congress and Exposition (ECCE), 2022 & 2023

• IEEE Access, 2022

• IEEE Transaction on Industrial Electronics, 2022

• IEEE Applied Power Electronics Conference and Exposition (APEC), 2021

• IEEE Transactions on Instrumentation and Measurement, 2021

• IEEE Transaction on Industrial Electronics, 2021

• Great Lakes Symposium on VLSI (GLSVLSI), 2019 

• Oral & poster presentations

• IEEE Energy Conversion Congress and Exposition (ECCE), 2022

• IEEE Energy Conversion Congress and Exposition (ECCE), 2021 

• Active IEEE Member (since 2021)

• IEEE Graduate Student Member

• IEEE Power Electronics Society (IEEE-PELS)

• IEEE Young Professionals

■        Student Volunteer/organizer

●        Participated as a student volunteer at IEEE ECCE 2021 & ECCE 2022 conferences

●        Virtual Platform Coordinator (organizing committee) at IEEE ECCE 2022 conference 

Technical Skills  

Programming Languages

• Python, MATLAB, R, C, C++, Embedded C, SQL database, Java, Verilog

Embedded Platforms

• Arduino, Raspberry Pi, NXP Freedom, ST Microcontroller

Version Control Tool

• GitHub

Engineering Software

• MATLAB/Simulink, Arduino Studio, NI Multisim, Visual Studio, LTSpice, Android Studio, Xilinx Vivado Design Suite, AutoCAD

Documentation and Data Analysis

• Microsoft Word, Excel, Power Point, Visio, Latex

Operating System

• Microsoft Windows, Linux, macOS

Affiliations

2021 – Present

• Graduate Student Member, IEEE, USA

2017 – Present

• Member, Phi Kappa Phi (ФΚФ), USA

2011 – Present 

• Member, Institution of Engineers, Bangladesh                                                                                       

Extra-Curricular Activities

• Director, co-founder, and volunteer of Education Foundation Inc., USA (a community voluntary organization)  

Honors and Awards 

2023

Received “Outstanding Graduate Research Assistant Award -2023”, Department of Electrical and Computer Engineering, UNC Charlotte

Winner of 2nd Prize of EPIC Innovator 2023 competition, UNC Charlotte

2022

Participated in UNCC 3MT as a finalist at UNC Charlotte

2021
ECCE 2021 Excellent Student Volunteer Award 

2021
ECCE 2021 Student Attendance Grant 

2017, 2018
Enlisted in Director’s List, Ingram School of Engineering, Texas State University, for academic performance of excellence

2018

  Graduate College Thesis Research Support Fellowship (Spring 2018), Ingram School of Engineering, Texas State University 

2016, 2017

  Graduate College Scholarship, Texas State University

2005-2009

  Technical Board Scholarship, KUET, Bangladesh

2005-2009

    DBBL Foundation Scholarship, Bangladesh

Graduate Coursework 

Power Electronics II, Utility Application of Power Electronics, Applied Artificial Intelligence, Deep Learning in Computer Vision, Solid State Circuit Protection, Embedded and Real-Time Computing, Advanced Computer Architecture, Thin Film Technology, Advanced Electronic Circuit Design, Digital Image Processing, Probability Random Variables and Stochastic Processes, Discrete Mathematics, Regression Analysis.