Ph.D. Candidate · CYCU · Taoyuan, Taiwan

Christian Lian Paulo
Perez Rioflorido

Quantum-Inspired AI researcher specializing in deep learning architectures for spatiotemporal forecasting, autonomous robotics, and resilient power systems.

⚛ Quantum AI 🤖 Deep Learning ⚡ Power Systems 🌪 Typhoon Forecasting 👁 Computer Vision
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Christian Rioflorido
About Me

Bridging quantum computing and real-world AI.

I am a Ph.D. candidate in Electrical Engineering at Chung Yuan Christian University (CYCU), Taiwan, ranked #1 in core courses including Machine Learning & Deep Learning and Quantum Algorithms.

My research focuses on quantum-inspired AI for resilient power systems — designing advanced spatiotemporal forecasting models for renewable energy and extreme weather events such as typhoons. I build end-to-end pipelines on NVIDIA A100/H100 HPC clusters using CUDA-Q, cuQuantum, PyTorch, and Lightning.

I am an NVIDIA Academic Grant recipient and co-author with the NVIDIA AI Technology Center (NVAITC), with over 7 years of combined research and industry experience spanning autonomous robotics, computer vision, NLP, and cloud-scale AI deployments.

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7+
Years Research
12+
Publications
Expertise

Skills & Services

⚛️
Quantum-Inspired AI

Design and implementation of QNN/QLSTM hybrid quantum-classical architectures for forecasting and optimization, run exclusively on CUDA-Q.

CUDA-QcuQuantumPennyLaneQLSTM
📈
Spatiotemporal Forecasting

End-to-end pipelines for wind speed, solar GHI, and typhoon track/intensity forecasting on NVIDIA A100/H100 HPC and cloud platforms.

PyTorchLightningLSTMGraph NN
👁️
Computer Vision & Robotics

Real-time object detection, facial recognition, autonomous navigation, and scene understanding deployed within ROS on edge hardware.

OpenCVTensorRTROSOpenVINO
🗣️
NLP & LLMs

Multilingual NLP for smart speakers and call centers (Thai, Tagalog, Chinese, English); LLM-based prediction workflows with BERT and beyond.

BERTLLMsSpeech-to-TextQ&A
☁️
Cloud & HPC Infrastructure

Scalable AI workloads on AWS, Google Cloud, and NVIDIA Metropolis — with hands-on deployment experience on A100/H100 GPU clusters.

AWSDockerCUDAcuDNN
⚡
Power Systems & Energy

AI-driven solutions for renewable energy forecasting and grid resilience for wind farms and solar power systems, published in IEEE TPS and Applied Energy.

Wind PowerSolar GHIPSOIEEE TPS
Career

Professional Experience

2021–Present
Research Assistant (Ph.D.)
Intelligent Systems on Power Engineering Lab · CYCU
• Secured NVIDIA Academic Grant and collaborated with NVIDIA AI Technology Center (NVAITC)
• Designed QNN/QLSTM architectures for typhoon and solar forecasting
• Built end-to-end pipelines on A100/H100 using CUDA-Q, cuQuantum, PyTorch Lightning
• Led LLM-based forecasting experiments with reproducible evaluation pipelines
Current
2023–2024
AI / Computer Vision Intern
Uni-President Information Corp. · Taipei
• Developed real-time object detection for retail inventory tracking (NVIDIA Metropolis)
• Built facial recognition system for personalized customer interaction
• Deployed scalable CV pipelines using AWS & Google Cloud
Industry
2018–2021
Deep Learning Software Engineer
New Era AI Robotics · New Kinpo Group
• Built autonomous robotics systems using ROS (navigation, mapping, obstacle avoidance)
• Developed CV pipelines: detection, tracking, face recognition, activity recognition
• Led NLP systems for smart speakers (BERT, multilingual STT & QA)
• Optimized real-time inference using TensorRT across embedded systems
Industry
2021–2026
Teaching Assistant · Artificial Intelligence
Chung Yuan Christian University
• Delivered lectures, guided projects, and mentored students in AI & Deep Learning
• Supported multiple courses including ML, DL, and Big Data Analytics
Academic
2022–2023
Professor · Machine Learning & Signal Processing
Technological Institute of the Philippines
• Taught 120+ students across ML and signal processing courses
• Designed curriculum bridging theory with applied AI systems
Teaching
2015–2016
Test Engineer
ROHM Electronics Philippines
• Improved semiconductor production quality via fault detection analysis
• Optimized signal processing pipelines for chip validation systems
Engineering
Research

Publications

2025
Hybrid Attention Mechanism and Quantum Long Short-Term Memory Network for Typhoon Forecasting at a Wind Power Farm
Energy (Under Review)
Y.-Y. Hong, C. L. P. P. Rioflorido, Y.-Y. Wang, T.-C. Huang, S. See, H.-P. Van, & M.-T. Li
Under Review
2025
Quantum-Inspired Random Walk-based Phasor Particle Swarm Optimization for Unimodal–Multimodal Engineering Problems
Machine Learning with Applications (Under Review)
Y.-Y. Hong & C. L. P. P. Rioflorido
Under Review
2025
A Hybrid Graph-Quantum Neural Network for Solar Irradiance Forecasting Using Chaotic Swarm Optimization and Cauchy Distribution
IEEE Transactions on Power Systems, pp. 1–13
Y.-Y. Hong, C. L. P. P. Rioflorido, & Y.-Y. Wang
Published
2024
Hybrid Deep Learning and Quantum-Inspired Neural Network for Day-Ahead Spatiotemporal Wind Speed Forecasting
Expert Systems with Applications, 241, 122645
Y.-Y. Hong, C. L. P. P. Rioflorido, & W. Zhang
Published
2019
A Hybrid Deep Learning-Based Neural Network for 24-Hour Ahead Wind Power Forecasting
Applied Energy, 250, pp. 530–539
Y.-Y. Hong & C. L. P. P. Rioflorido
Published
Conference Papers
2025
Classification of Photovoltaic Faults using CatBoost Classifier Optimized by QPSO
Green Solutions & Emerging Technologies for Sustainability, pp. 297–308
Y.-Y. Hong, C. L. P. P. Rioflorido, H.-P. Van
Conference
2023
Design of a Non-Invasive Egg Sexing Device Utilizing Artificial Intelligence for Duck Species
TENCON 2023 — IEEE Region 10 Conference
S. Arenas, P. J. R. Billones, J. C. V. Lao, J. A. C. Mercado, I. D. G. Sy, C. L. P. P. Rioflorido
Conference
2023
A Deep CNN-LSTM Model Tuned by PPSO for Spatiotemporal Solar GHI Forecasting
IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), pp. 1–5
Y.-Y. Hong, C. L. P. P. Rioflorido
Conference
2022
Design of a Household Consumption based Water Leak Detection System Utilizing Machine Learning Algorithm
IET International Conference on Engineering Technologies and Applications
D. J. A. Amora, M. A. V. Janapin, B. A. M. Calayag, C. L. P. P. Rioflorido, N. M. Estur et al.
Conference
2022
One-Hour Ahead Spatio-Temporal Solar GHI Forecasting Using Long Short-Term Memory
IET International Conference on Engineering Technologies and Applications
Y.-Y. Hong, Y.-T. Pan, C.-C. Hsu, C. L. P. P. Rioflorido, J. B. D. Santos
Conference
2022
Soft Sensing Measurement of Dissolved Ammonia Nitrogen in Tank-Based Eel Aquaculture Systems Utilizing Deep Learning
IET International Conference on Engineering Technologies and Applications
D. J. A. Amora, J. V. Apan, D. N. C. Layosa, R. C. Sarmiento, J. J. Tugado, C. L. P. P. Rioflorido et al.
Conference
2022
A Short-Term Spatiotemporal Wind Speed Forecasting Using CNN Optimized by PSO
IET International Conference on Engineering Technologies and Applications
Y.-Y. Hong, J. B. D. Santos, S. S. Lin, Y. D. Lee, J. H. Wang, J. L. Jiang, C. L. P. P. Rioflorido et al.
Conference
🔍
Academic Service
Peer Reviewer
Applied Soft Computing Energy Reports IEEE Sensors Journal Soft Computing
Recognition

Honors & Awards

2025
NVIDIA Academic Grant Recipient
"Hybrid Deep Learning and Quantum Network for Typhoon Forecasting in a Wind Power Farm"
2025
NCHC Open Hackathon — 109× Speedup Achievement
National Center for High-Performance Computing, Taiwan
2025
Honorable Mention — CYCU × Intel × ASUS AI PC OpenVINO Competition
Chung Yuan Christian University
2022
CYCU Outstanding Foreign PhD Scholarship for Academic Research Upgrades
Chung Yuan Christian University, Taiwan
2021–22
President — Association of Filipino Scholars in Taiwan
Student Leadership Recognition
2017
Honorable Mention — International Innovation Competition on Applications of Sensors & Micro-Computers
International Recognition
Contact

Let's collaborate
on research.

Open to research collaborations, industry partnerships, speaking invitations, and consulting in AI, quantum computing, and energy systems.

✉clprioflorido17@gmail.com
📍Taoyuan City, Taiwan
🔗linkedin.com/in/clprioflorido
💻github.com/tianpaul01
🔬orcid.org/0000-0001-9841-7389