CV
Curriculum Vitae of Pawan Kumar.
Contact Information
| Name | Pawan Kumar |
| Professional Title | Ph.D. Student in Computer Engineering |
| pkumar97@asu.edu |
Professional Summary
Ph.D. student in Computer Engineering at Arizona State University, advised by Prof. Hokeun Kim. My research interests include embedded systems, cyber-physical systems, robotics, and machine learning.
Experience
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2025 - present Tempe, AZ, USA
Graduate Teaching Assistant
Arizona State University
- Supports testing and grading for assigned courses
- Assists with preparation, distribution, and collection of test materials
- Observes and monitors students during examinations
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2024 - 2024 Tempe, AZ, USA
Graduate Service Assistant
Arizona State University
- Supported testing and grading for assigned courses
- Assisted with preparation, distribution, and collection of test materials
- Observed and monitored students during examinations
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2022 - 2024 Tempe, AZ, USA
Shift Team Lead
Aramark
- Managed daily operations in a high-volume team environment
- Trained and mentored new team members
- Resolved operational issues to improve service quality and efficiency
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2021 - 2021 Bangalore, India
Machine Learning and Communication Intern
Sooktha Consulting Private Limited
- Studied and characterized NB-IoT connectivity for real-world applications
- Integrated sensors with a cloud platform for real-time data collection
- Developed a machine learning model to analyze temperature and humidity trends
Education
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2024 - present Tempe, AZ, USA
Ph.D.
Arizona State University
Computer Engineering
- Advised by Prof. Hokeun Kim
- Research areas: Embedded Systems, Cyber-Physical Systems, Robotics, Machine Learning
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2022 - 2024 Tempe, AZ, USA
M.S.
Arizona State University
Computer Engineering
- Advised by Prof. Hokeun Kim
- Thesis: Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop
- Relevant coursework: Privacy and Machine Learning, Communication Networks, Probability and Random Processes, Foundations of Algorithms, Knowledge Representation, Perception in Robotics, Broadband Networks, Embedded Machine Learning
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2018 - 2022 Bangalore, India
B.E.
Dayananda Sagar College of Engineering
Electronics and Instrumentation
Research Interests
Publications
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2026 Cyber-Physical System Design Space Exploration for Affordable Precision Agriculture
Design, Automation and Test in Europe Conference (DATE)
To appear. Presented work on design-space exploration for affordable precision agriculture systems.
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2025 Demo Abstract: Cost-Effective Rover for Farms
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)
Demo abstract on a cost-effective rover platform for farm applications.
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2024 Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop Growth
IEEE International Workshop on Rapid System Prototyping (RSP)
Cost-effective CPS prototype for crop monitoring and prediction in hydroponic environments.
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2024 A cyber-physical system approach for precision agriculture focused on crop growth
Arizona State University
Master’s thesis on a cyber-physical system approach for precision agriculture focused on crop growth.
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2022 A comparative study of SARS COVID-19 using X-ray and CT scan images using deep learning techniques
International Journal of Health Sciences
Comparative study of deep learning methods for COVID-19 analysis using X-ray and CT scan images.
Projects
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Heterogeneous rover-drone platform
Designing and developing a rover and drone platform integrated with Raspberry Pi for scalable aerial and ground CPS operations.
- Integrates rover and drone systems in a common CPS framework
- Supports scalable and affordable field operations
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Rover for farm applications
Developed a farming rover by repurposing a ride-on toy car and integrating Raspberry Pi for control and sensing.
- Built data pipeline for image and sensor preprocessing
- Enabled citrus plant detection and analysis
- Designed removable hardware support structure
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Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop
Designed and implemented a CPS prototype for crop monitoring and growth prediction in hydroponic environments.
- Integrated ESP32, Raspberry Pi, sensors, and digital image processing
- Compared TF-Luna and ultrasonic sensors for non-destructive measurements
- Built linear and Bayesian regression models with over 90 percent test accuracy
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Trash Sorter Using Object Detection
Developed an object-detection-based trash sorting system integrated with the Franka Emika Robot.
- Researched object detection approaches
- Integrated perception with robotic sorting
- Documented design and performance results
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Analysis of Poisoning Attacks in Federated Learning for Educational Data Mining
Studied poisoning attacks in federated learning models for student dropout prediction.
- Used KDDCUP2015 data
- Evaluated mitigation strategies and model robustness
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Automatic Early Detection of SARS-COVID-19 Using Deep Learning Techniques
Led a team project on deep learning models for COVID-19 severity classification using X-rays and CT scans.
- Compared VGG-19, ResNet-50, InceptionV3, and Xception
- Evaluated accuracy, precision, recall, and F1 score
Awards
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2026 YPP Travel Award for DATE Conference
Design, Automation and Test in Europe (DATE)
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2024 Travel award to present in Rapid system prototyping workshop as part of ESWEEK 2024
Arizona State University Graduate College
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2022 Best project of social relevance award for COVID detection using X-ray and CT scans
Dayananda Sagar College of Engineering
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2020 Best performing intern at the Student Partner Internship Program
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2019 Quarter finalist at AICTE, DST and Texas Instruments India Innovation Challenge Design Contest