Aiswarya Nair | Artificial Intelligence | Women Researcher Award

MS. Aiswarya Nair | Artificial Intelligence | Women Researcher Award

Aiswarya Anil Nair is a Machine Learning Engineer with a strong background in AI, computer vision, and natural language processing. She holds a B.Tech in Computer Science (AI & ML) and is currently pursuing a PG Diploma in Applied Statistics. With hands-on experience at Optisol, Triwizard Technologies, and Tata Elxsi, she has developed and deployed end-to-end AI solutions. Her research has been presented at international conferences and published in reputed journals, with a focus on ethical AI and generative technologies. Aiswarya is passionate about building intelligent systems that solve real-world problems.

National Open University, India.

Author Profile

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Education 🎓

Aiswarya Anil Nair is currently pursuing a Postgraduate Diploma in Applied Statistics from Indira Gandhi National Open University, starting in 2024. She completed her Bachelor of Technology in Computer Science with a specialization in Artificial Intelligence and Machine Learning from Sree Chitra Thirunal College of Engineering in 2024, graduating with a CGPA of 8.63 out of 10.

Professional Experience 💼

Aiswarya is currently working as a Machine Learning Engineer at Optisol Business Solutions in Chennai, Tamil Nadu, where she focuses on agent orchestration and developing various proof-of-concept solutions. Prior to this, she served as a Machine Learning Engineer at Triwizard Technologies in Trivandrum, Kerala, where she built and deployed a computer vision model for plant disease detection using FastAPI and AWS and also explored tools for visualizing GitHub collaboration within teams. She also completed an internship at Tata Elxsi from October 2023 to June 2024, where she gained experience in automotive systems, particularly in ADAS, AI, and deep learning technologies.

Technical Skills 🛠️

Aiswarya is proficient in programming languages such as Python, Java, C, and SQL. Her technical toolkit includes libraries like TensorFlow, OpenCV, Keras, Numpy, Sklearn, and Pandas. She has hands-on experience in machine learning, deep learning, generative AI, and natural language processing. Alongside her technical expertise, she possesses strong interpersonal skills which complement her ability to work effectively in team settings.

Awards & Honors 🏅

Aiswarya has earned recognition for her impactful research and innovative contributions in artificial intelligence. Her paper titled “GenAI Empowered Script to Storyboard Generator” was presented at the prestigious 2024 IEEE International Conference on Future Machine Learning and Data Science in Sydney. She also co-authored the publication “LangChain and NeMo Guardrail Integrated Ethical Framework for Large Language Model Based Healthcare Chatbot,” which appeared in the Journal of AI and Ethics. These accolades highlight her dedication to responsible AI and her ability to deliver real-world solutions grounded in research excellence.

Research Interests 🔍

Her primary research interests lie at the intersection of artificial intelligence, human-centered design, and ethical machine learning. She has explored applications of reinforcement learning in education, computer vision in law enforcement and agriculture, and language models in personal assistants and healthcare. Aiswarya’s work is marked by a focus on scalable, ethical, and adaptive AI systems, emphasizing innovation with real-world impact.

Publications Top Notes: 📝

Title: An Integrated Framework for Ethical Healthcare Chatbots Using LangChain and NeMo Guardrails
Authors: G. Arun, R. Syam, A. A. Nair, S. Vaidya
Year: 2025
Journal: AI and Ethics, Pages 1–12

 Title: GenAI Empowered Script to Storyboard Generator
Authors: A. Govind, A. Anzar, A. A. Nair, R. Syam
Year: 2024
Journal: 2024 IEEE International Conference on Future Machine Learning and Data Science

Wen-Chung Tsai | Computer Science and Artificial Intelligence | Best Researcher Award

Prof. Dr. Wen-Chung Tsai | Computer Science and Artificial Intelligence | Best Researcher Award

Associate Professor National Taichung University of Science and Technology Taiwan

Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in electronics engineering and computer science. He obtained his Ph.D. from National Taiwan University and has extensive experience in both academia and industry. Currently, he serves as an Associate Professor at the National Taichung University of Science and Technology, focusing on embedded systems, AI, and information security.

Profile

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🎓 Education

  • Ph.D. in Electronics Engineering – National Taiwan University (2006–2011)

  • M.S. in Electrical Engineering – National Cheng Kung University (1996–1998)

  • B.S. in Computer Science & Information Engineering – Tamkang University (1992–1996)

💼 Experience

  • Associate Professor – National Taichung University of Science and Technology (2022–present)

  • Associate Professor – Chaoyang University of Technology (2020–2022)

  • Assistant Professor – Chaoyang University of Technology (2013–2020)

  • Engineer – Industrial Technology Research Institute (2011–2013)

  • Visiting Scholar – University of Wisconsin-Madison (2010)

  • Deputy Manager – VIA Technologies (2000–2009)

🔬 Research Interests

  • Embedded Systems & Internet of Things

  • Software & Hardware Design Integration

  • Artificial Intelligence & Information Security

  • Wireless Networks & Communication Protocols

📚 Publications Top Notes:

Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

Implementatons of Health-Promotion IoT Devices for Secure Physiological Information Protection

Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

3D Bidirectional-Channel Routing Algorithm for Network-Based Many-Core Embedded Systems

Bi-routing: a 3D bidirectional-channel routing algorithm for network-based many-core embedded systems

A Configurable Networks-on-Chip Router Using Altera FPGA and NIOS2 Embedded Processor

Analysis of the relationship between the radial pulse and photoplethysmography based on the spring constant method