Alvyn Abranches is an Assistant Professor in Computer Applications with over 4 years of teaching experience and 3+ years of industry experience in software development and AI-driven systems. His combined academic and industry background enables him to effectively bridge theoretical knowledge with practical, real-world implementation.
He focuses on interdisciplinary and multidisciplinary domains that integrate computing with linguistics, sociology, cognitive science, and emerging computational paradigms. His teaching philosophy emphasizes conceptual depth, hands-on experimentation, scalable system design, and research-oriented learning. He actively mentors students in developing real-world AI applications, including speech-to-speech systems, multilingual NLP pipelines, ASR and machine translation architectures, and end-to-end AI deployment solutions. He strongly promotes student participation in hackathons, innovation challenges, and research competitions, preparing them to become confident, industry-ready professionals with strong problem-solving and collaborative skills.
He is currently pursuing his Ph.D., focusing on advancing AI for low-resource Indian languages through Computational Psychosociolinguistics. His research explores how language shifts across social, cultural, and psychological contexts, and how speech-based Generative AI systems can model, preserve, and empower linguistically underrepresented communities, particularly Konkani and Marathi. His work includes speech and text dataset creation, dialect and register variation studies, development of dialect atlases for Goa, language and script preservation, large language model adaptation, and speech-to-speech Generative AI applications.
In addition, he explores the intersection of Artificial Intelligence with Quantum Computing and Quantum AI, particularly in understanding computational complexity, phase-based modelling for speech-to-speech QGenAI, and next-generation architectures for speech and
