Next-Generation Wireless Intelligence Communications Laboratory
Research Field
Anal Paul (Member, IEEE) is an Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan. He received the B.Tech. degree from the Government College of Engineering and Ceramic Technology, India, in 2008, the M.E. degree from Jadavpur University, India, in 2010, and the Ph.D. degree from the Indian Institute of Engineering Science and Technology, Shibpur, India, in 2021.
From July to December 2022, he was a Postdoctoral Researcher with the Department of Information and Communication Engineering, Yeungnam University, South Korea. From January 2023 to January 2025, he was a Postdoctoral Researcher at National Sun Yat-sen University (NSYSU), Taiwan. His research interests include quantum machine learning, federated learning, deep reinforcement learning, RIS, NOMA, ISAC, and digital twins for resource allocation in B5G/6G wireless networks.
Next-Generation Wireless Intelligence Communications (Next-WinC) Laboratory is a dynamic research group in the Computer Science and Engineering Department at Yuan-Ze University, Taiwan. Our lab is dedicated to advancing the frontiers of wireless communication, with a particular emphasis on beyond 5G and 6G technologies. We strive to address the growing demands for seamless, high-speed, and ubiquitous connectivity in modern society by bridging academic research and industrial applications.
At Next-WinC, our research spans a range of cutting-edge topics, including:
- Next-Generation Multiple Access: Pioneering techniques to handle rapidly increasing connectivity demands.
- UAV-Assisted Wireless Networking: Exploring drone-based solutions for extended coverage and improved network performance.
- Reconfigurable Intelligent Surfaces (RIS): Enhancing communication reliability and efficiency in both V2V and V2I scenarios.
- AI & Quantum Machine Learning Integration: Incorporating classical machine learning, deep learning, and advanced Quantum machine learning to drive intelligent wireless systems.
- Innovative Network Solutions: Our overarching mission is to develop cutting-edge technologies that address the evolving challenges of modern communication networks.
- Visvesvaraya PhD Fellowship Awardee (Awarded by the Ministry of Electronics and Information Technology, Government of India)
- GATE Qualified (Graduate Aptitude Test in Engineering – India)
- UGC-NET Qualified (National Eligibility Test – India)
Doctor of Philosophy (Ph.D.)
Department of Information Technology
Indian Institute of Engineering Science and Technology, Shibpur
Year: 2015 – 2021
Thesis Title: Energy-Efficient Spectrum Sensing and Data Transmission in Multihop Cognitive Radio Networks
Master of Engineering (M.E.)
Software Engineering, Department of Information Technology
Jadavpur University, India
Year: 2008 – 2010
Bachelor of Technology (B.Tech)
Department of Information Technology
Government College of Engineering and Ceramic Technology, India
Year: 2004 – 2008
Job Description
- Formulate wireless optimization tasks (e.g., sum-rate, energy efficiency, latency minimization)
- Implement quantum or quantum-inspired solvers (e.g., QAOA/VQE-inspired, quantum annealing-style, or hybrid heuristic pipelines)
- Build simulation experiments and benchmarking (latency, convergence, robustness)
- Prepare a short technical report and (target) a workshop/conference submission
Preferred Intern Educational Level
Master’s (M.S.) or Ph.D. student in CS/EE/Telecom (strong B5G/6G or ML background)
Skill sets or Qualities
- Python + ML basics (PyTorch/TensorFlow)
- Optimization fundamentals (convex / non-convex, AO/SCA helpful)
- Wireless communications basics (MIMO/OFDM, RIS concepts helpful)
- Interest in quantum computing (Qiskit/Cirq/PennyLane helpful)
- Strong research attitude: reading papers, running experiments, writing results
Job Description
- Study PQC standards and lattice-based constructions (signatures/KEMs, authentication flow)
- Design a secure protocol module for 6G/edge scenarios (handover, access, offloading signaling)
- Evaluate overhead (compute/latency/message size) and security trade-offs
- Prototype implementation (Python/C/C++ optional) + report/documentation
Preferred Intern Educational Level
Master’s or Ph.D. student in CS/CE/EE with security/crypto interest
Skill sets or Qualities
- Cryptography basics (hashing, signatures, KEM concepts)
- Good programming skills (Python; C/C++ is a plus)
- Understanding of communication protocols is helpful
- Careful, detail-oriented testing mindset (security + performance evaluation)