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.

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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

Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Prof. Dr. Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Professor Guangdong University of Science and Technology China

Dr. Ke-Lin Du is a distinguished professor with a career spanning academia and industry. He received his PhD in Electrical Engineering from the Huazhong University of Science and Technology, China, in 1998. Currently, he serves as a professor at the Faculty of Mechanical and Electronic Engineering at Guangdong University of Science and Technology, Dongguan, China, since 2024. His journey includes impactful roles at leading institutions such as Concordia University, Huawei Technologies, and top research centers in Hong Kong. With a commitment to advancing technology, he has contributed significantly to signal processing, wireless communications, and machine learning.

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Education 🎓

  • PhD in Electrical EngineeringHuazhong University of Science and Technology, China (1998)

Experience 💼

  • Professor | Guangdong University of Science and Technology (2024–Present)
  • Affiliate Professor | Concordia University (2011–2024)
  • Research Staff | Concordia University (2001–2010)
  • Technical & Research Positions | Huawei Technologies, China Academy of Telecommunication Technology, CUHK, HKUST, Enjoyor Inc., Xonlink Inc.

With 20+ years of experience, Dr. Du has significantly contributed to academic teaching, cutting-edge research, and technological innovations in various global institutions.

Research Interests 🔬

Dr. Ke-Lin Du’s research focuses on:

  • Signal Processing
  • Wireless Communications
  • Machine Learning

His interdisciplinary expertise bridges theoretical concepts and practical applications, driving advancements in artificial intelligence and communication systems.

Awards and Honors 🏆

  • Stanford’s Top 2% Most Cited Scientists (2019–2023, 5 consecutive years)
  • Senior Member of IEEE (Since 2009)
  • Recognized for outstanding contributions to academia, research, and leadership in over 115 international conferences.

Publications Top Notes: 📚

Dr. Du is an accomplished author with 5 coauthored books, 13 co-edited books, 60 research papers, and 6 U.S. patents. Some notable publications include:

Neural Networks and Statistical Learning

Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature

Neural Networks in a Softcomputing framework

Clustering: A neural network approach

Wireless communication systems: From RF subsystems to 4G enabling technologies

Using radial basis function networks for function approximation and classification

Particle swarm optimization

Exploiting multiple antennas for spectrum sensing in cognitive radio networks