Dr. Sampath Lonka

Ph.D, Mathematics

Large Language Models (LLM), Natural Language Processing (NLP), Deep Learning, Data Science, Calculus

Dr. Sampath Lonka is a scientific writer based in Bangalore, India, with a strong academic background in Mathematics and extensive experience in content writing. He has a Ph.D. in Mathematics from the University of Hyderabad and is deeply passionate about teaching, writing, and research.

Sampath enjoys teaching Mathematics, Statistics, and AI to both undergraduate and postgraduate students. What sets him apart is his unique approach to teaching Mathematics through programming, making the subject more engaging and practical for students.

Sampath works in various fascinating research areas, including Natural Language Processing, Deep Learning, Topological Data Analysis, and AI for Mathematics. He has developed several impactful Computer Vision and Language Models that effectively tackle real-world problems. These research interests and work reflect Sampath's commitment to exploring the intersections of mathematics and cutting-edge technologies.

Beyond the professional realm, Sampath has diverse interests and enjoys reading captivating literature, embarking on adventurous travels, and experimenting with culinary delights in the kitchen.

Sampath's unwavering passion for mathematics, expertise in AI, and dedication to nurturing young minds comes from his unique blend of academic knowledge, research accomplishments, and teaching experience.

See less

Articles from Sampath

Revolutionizing Object Tracking with Siamese Networks and CNN-Based Techniques

Researchers introduce a groundbreaking object tracking algorithm, combining Siamese networks and CNN-based methods, achieving high precision and success scores in benchmark datasets. This innovation holds promise for various applications in computer vision, including autonomous driving and surveillance.

8 Oct 2023

NeRF-Det: A Novel Approach to Indoor 3D Object Detection from RGB Images

Researchers have introduced NeRF-Det, a cutting-edge method for indoor 3D object detection using RGB images. By integrating Neural Radiance Fields (NeRF) with 3D detection, NeRF-Det significantly enhances the accuracy of object detection in complex indoor scenes, making it a promising advancement for applications in robotics, augmented reality, and virtual reality.

6 Oct 2023

The Impact of AI Bias on Healthcare Decision-Making: A Comprehensive Study

Recent research published in Scientific Reports investigates the impact of biased artificial intelligence (AI) recommendations on human decision-making in medical diagnostics. The study, conducted through three experiments, reveals that AI-generated biased recommendations significantly affect human behavior, leading to increased errors in medical decision-making tasks.

5 Oct 2023

Enhancing Safety in Autonomous Mining: A Bayesian Network Approach

Researchers explored safety in autonomous mining using Bayesian networks (BN). They developed a proactive approach to detect faults and fire hazards in mining machinery, utilizing diverse sensors and AI-driven predictive maintenance. This study offers a comprehensive framework for improving safety in the rapidly advancing field of autonomous mining.

5 Oct 2023

How can AI Help in Personalized Tutoring?

AI-driven personalized tutoring in education is revolutionizing the traditional learning experience. From early computer-based systems to advanced chatbots like ChatGPT, AI offers tailored instruction, real-time feedback, and immersive learning experiences. This approach has the potential to enhance student achievement, but it also raises ethical concerns such as privacy, bias, and data protection.

4 Oct 2023

Personalized Language Learning with AI

AI has revolutionized language learning, offering personalized experiences, grammar error correction, assessment of conversations, vocabulary suggestions, writing improvement, and pronunciation fluency enhancement. However, ethical considerations, privacy, fairness, accessibility, and integration with emerging technologies are challenges that must be addressed.

4 Oct 2023

Unmasking the Human Facade: ChatGPT's Perceived Human Traits and Societal Impact

Researchers examined society's perceptions of ChatGPT's human-like traits. The study explores how ChatGPT and similar AI systems are evolving into semi-human writers, challenging traditional notions of authorship and raising ethical concerns. It envisions a future where ChatGPT's influence on text production and societal ideologies could redefine the way we interact with AI.

4 Oct 2023

AI in Fruit Quality Assessment: A Bibliometric Exploration of Non-Destructive Testing

Researchers conducted a comprehensive bibliometric exploration of non-destructive testing techniques for assessing fruit quality. Leveraging Web of Science data, they unveiled evolving research trends, hotspots, and the promising integration of advanced technologies like machine vision and deep learning, offering valuable insights for the fruit industry's competitiveness and quality assurance.

4 Oct 2023

Enhanced Road Manhole Cover Detection Using MGB-YOLO: A Deep Learning Approach

Researchers present MGB-YOLO, an advanced deep learning model designed for real-time road manhole cover detection. Through a combination of MobileNet-V3, GAM, and BottleneckCSP, this model offers superior precision and computational efficiency compared to existing methods, with promising applications in traffic safety and infrastructure maintenance.

3 Oct 2023

Advancing Data Science in African Healthcare: A Focus on Ethical Governance

This study delves into the transformative potential of data science in African healthcare and research, emphasizing the critical role of ethical governance. It highlights ongoing initiatives, investments, and challenges while stressing the need for collaboration and investment in ethical oversight to drive impactful research in the continent.

3 Oct 2023