The Machine Intelligence and Neural Development (MIND) Lab
focuses on foundational and applied research in Artificial Intelligence,
Machine Learning, Neural Networks, and Neuro-inspired computing.
The lab is located at the Department of Computer Science and Engineering, NIT Manipur, Imphal, India. The lab aims to advance the theoretical understanding of intelligent systems while also translating research outcomes into practical, real-world solutions.
Researchers at the MIND Lab explore how learning, reasoning, and adaptation can be modeled computationally.
A strong emphasis is placed on developing robust, scalable, and explainable machine learning algorithms.
The lab investigates deep learning architectures and their applications across diverse domains.
Neural network design and optimization form a core pillar of ongoing research activities.
Another major focus area is neuro-inspired computing, which draws inspiration from biological neural systems.
The lab studies brain-like mechanisms such as perception, memory, and decision-making.
Interdisciplinary research is encouraged, combining insights from computer science, neuroscience, mathematics, and cognitive science.
The MIND Lab actively works on data-driven modeling and intelligent data analysis techniques.
Researchers also explore reinforcement learning and adaptive control systems.
The lab contributes to advancements in pattern recognition and computer vision.
Natural language processing and human–machine interaction are important applied research areas.
Ethical and responsible AI development is considered a critical component of all projects.
The lab promotes transparency, fairness, and accountability in intelligent systems.
Collaboration with academic institutions and industry partners is strongly encouraged.
Ultimately, the MIND Lab seeks to contribute meaningful advancements to the global AI research community.
Application Deadline:Summer and Winter Research Interns and Long term Semester Interns
Opportunity for Full Semester Interns for 8th Semester B.Tech. Students!
Application Deadline: Usually May and November in a calendar Year
Institute Fellowships and Visvesvaraya PhD Scheme Available
Seeking hihgly motivated students for AI/ML research at Machine Intelligence and Neural Development Lab, NIT Manipur.
Duration: Minimum 45 Days Duration
Location: MIND Lab, NIT Manipur
Eligibility: CS/Engineering students
Developing scalable transformer architectures and pre-training strategies
Bridging neuroscience and AI through spiking neural networks
Integrating vision, language, and audio for holistic understanding
Making AI accessible and equitable for all languages
Ethical AI applications for real-world impact
Assistant Professor & Lab PI
Department of Computer Science and Engineering, NIT Manipur, India
Principal Investigator of MIND Lab with expertise in Artificial Intelligence, Machine Learning, and Neural Networks and working on NLP, Medical AI, LLMs etc. Dr. Moirangthem Dennis Singh earned his Ph.D. from Kyungpook National University, South Korea, and has held postdoctoral research positions at the Graduate School of AI at POSTECH and Jeonbuk National University, South Korea. His research is focused on Artificial Intelligence, Machine Learning, and Natural Language Processing, specifically in areas such as Large Language Models (LLMs), medical AI, and neuro-inspired computing. Dr. Singh’s scholarly contributions include a granted South Korean utility patent for abstractive text summarization and multiple high-impact publications in Q1 journals and top-tier conferences like ACL, COLING, and IJCNN. His research team has also been recognized with several Best Paper Awards at international IEEE conferences.
dennis@nitmanipur.ac.in
NIT Manipur, Imphal, India
PhD Scholar
RAG
National Institute of Technology, Manipur
PhD Scholar
2026-present
Research Scholar
M.Tech Student
AI & Machine Learning
National Institute of Technology, Manipur
Research Scholar
2024-2026
M.Tech CSE
24203010.mtech.cse@nitmanipur.ac.in
M.Tech Student
AI & Machine Learning
National Institute of Technology, Manipur
Research Scholar
2025-2027
M.Tech CSE
25203004.mtech.cse@nitmanipur.ac.in
Semester Research Intern 2025-26
University of Alberta, Canada
Research Intern on LLMs and RAG
Semester Research Intern 2025-26
Will be joining as MS in Computer Science in Fall 2026
at University of Alberta, Canada
Long Term Research Intern 2025-26
DGIST (Daegu Gyeongbuk Institute of Science and Technology) Daegu, South Korea.
Developer and Researcher
Daegu, South Korea.
Research Intern 2026
Regional Institute of Management and Technology (RIMT) University
Research Intern on AI/ML
Summer 2026
B.Tech CSE (AI/ML), RIMT University, Mandi Gobindgarh, Punjab, India
Research Intern 2026
RIT Roorkee
Research Intern on AI/ML
Summer 2026
BTech CSE at Roorkee Institute of Technology, Roorkee, Uttarakhand, India.
B.Tech 4th Year
AI
Internship
Expected Graduation: 2026
Works as a Software Developer at Fischer Jordan
B.Tech 4th Year
Quantum NLP
Final Year Project
Expected Graduation: 2026
Major Project
B.Tech 4th Year
OCR for Meitei Mayek
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
B.Tech 4th Year
OCR for Meitei Mayek
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
B.Tech 4th Year
OCR for Meitei Mayek
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
B.Tech 4th Year
Quantum NLP
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
B.Tech 4th Year
Quantum NLP
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
B.Tech 4th Year
Development of LLM
B.Tech 4th Year
Expected Graduation: 2026
Will join IIT Gandhinagar as an MTech CS Student in July 2026
B.Tech 4th Year
Development of LLM
B.Tech 4th Year
Expected Graduation: 2026
Final Year Project
Navadeep Perumallapalli graduated in 2025. His final year project was on "Brain Tumor Classification and Detection Using Pre-trained Convolutional Neural Networks."
Graduated: 2025
Current work: Software Developer at L&T
B Rukesh Nayak graduated in 2025. His final year project was on "Brain Tumor Classification and Detection Using Pre-trained Convolutional Neural Networks."
Graduated: 2025
Current work: Software Developer at GoDigit
Sinngam developed a project on Assessing the Capabilities of Large Vision-Language Models for Multimodal Sarcasm Detection: Analysis and Benchmarking.
Graduated: 2025
Current work: M.Tech. CSE @ IIT Gandhinagar, India
Maimom Albert developed a project on Assessing the Capabilities of Large Vision-Language Models for Multimodal Sarcasm Detection: Analysis and Benchmarking.
Graduated: 2025
Current work: PGP in Smart Manufacturing and AI, NAMTECH Gandhinagar, India
Nongmaithem Miranda Devi developed a project on Retinal Eye Disease Detection Using Deep Convolutional Neural Network With Transfer Learning.
Graduated: 2025
Current work: M.Tech. AI @ NIT Silchar, India
Thokchom Chaoba Devi developed a project on Retinal Eye Disease Detection Using Deep Convolutional Neural Network With Transfer Learning.
Graduated: 2025
Current work: Software Developer
Shivanee Ningthoujam developed a project on Retinal Eye Disease Detection Using Deep Convolutional Neural Network With Transfer Learning.
Graduated: 2025
Current work: Software Developer at HDFC Bank
Annepu Sai Charan worked on "Leveraging Name Entity Recognition and Text Classification for Talent Mapping", published an International conference paper in 2025.
Graduated: 2024
Current work: M.S. in Computer Science at Syracuse University, New York, USA.
Meher Bhardwaj worked on "EzSQL: An SQL intermediate representation for improving SQL-to-text Generation", published an International Journal (SCIE, Q1) paper in 2025.
Graduated: 2024
Current work: Software Developer at Deloitte Pune, India .
Ethari Hrishikesh worked on "EzSQL: An SQL intermediate representation for improving SQL-to-text Generation", published an International Journal (SCIE, Q1) paper in 2025.
Graduated: 2024
Current work: M.S. in AI at Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea.
Aditi Vidyarthi , Khoirom Motilal Singh, and Dennis Singh Moirangthem. "SageRAG: Query rewriting for retrieval enhancement and retrieval-augmented generation for grounded responses in AI research assistance." Expert Systems with Applications (2026): 131160.
Bhardwaj, Meher, Hrishikesh Ethari, and Dennis Singh Moirangthem. "EzSQL: An SQL intermediate representation for improving SQL-to-text Generation." Expert Systems with Applications (2025): 113898.
Moirangthem, Dennis Singh, and Minho Lee. "Hierarchical and lateral multiple timescales gated recurrent units with pre-trained encoder for long text classification." Expert Systems with Applications (2021): 113898.
Moirangthem, Dennis Singh, and Minho Lee. "Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network." Neural Networks 124 (2020): 1-11.
Kiasari, Mohammad Ahangar, Moirangthem, Dennis Singh, and Minho Lee. "Joint moment-matching autoencoders." Neural Networks 106 (2018): 185-193.
Kiasari, Mohammad Ahangar, Moirangthem, Dennis Singh, and Minho Lee. "Coupled generative adversarial stacked auto-encoder: Cogasa." Neural Networks 100 (2018): 1-9.
Yu, Zhibin, Moirangthem, Dennis Singh, and Minho Lee. "Continuous timescale long-short term memory neural network for human intent understanding." Frontiers in neurorobotics 11 (2017): 42.
Ngasepam Nganthoiba Meitei and Moirangthem, Dennis Singh. "A Machine Learning Framework for Polymer Degradation Prediction Toward Environmental Sustainability." 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). Vol. 4. IEEE, 2026.
Prathamesh S Vadatille, Khoirom Motilal Singh, and Dennis Singh Moirangthem. "NeuroScan: A Comprehensive Deep Learning Framework for Automated Brain MRI Tumor Detection and Multi-Class Classification." 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). Vol. 4. IEEE, 2026.
Balkishan Bajpay and Moirangthem, Dennis Singh "Leveraging Pathfinding Algorithms For Efficient Metro Routing and Scheduling" 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2025)
Arvind Pathak and Moirangthem, Dennis Singh "A Text Processing and Translation Framework for Advancement of Maithili Language" 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2025)
Annepu Sai Charan and Moirangthem, Dennis Singh "Leveraging Name Entity Recognition and Text Classification for Talent Mapping." 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024)
Meher Bhardwaj, Hrishikesh Ethari, Annepu Sai Charan, and Moirangthem, Dennis Singh "BeTS: Abstractive Text Summarization with Transfer Learning." 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2024), IATMSI 2024. Gwalior, India.
Sergio, Gwenaelle Cunha, Moirangthem, Dennis Singh, and Minho Lee. "Attentively Embracing Noise for Robust Latent Representation in BERT." (Long Paper) COLING, 2020. Barcelona, Spain.
Moirangthem, Dennis Singh, and Minho Lee. "Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU Network." Proceedings of the 3rd Rep4NLP. (Long Paper) ACL, 2018. Melbourne, Australia.
Sergio, Gwenaelle Cunha, Moirangthem, Dennis Singh, and Minho Lee. "Temporal hierarchies in sequence to sequence for sentence correction." 2018 International Joint Conference on Neural Networks. IEEE, IJCNN 2018, Rio de Janeiro, Brazil.
Kiasari, Mohammad Ahangar, Moirangthem, Dennis Singh, Jonghong Kim, and Minho Lee. "TiedGAN: Multi-domain Image Transformation Networks." In International Conference on Neural Information Processing, pp. 512-518. Springer, Cham, ICONIP 2018. Siem Reap, Cambodia.
Moirangthem, Dennis Singh, Jegyung Son, and Minho Lee. "Representing Compositionality based on Multiple Timescales Gated Recurrent Neural Networks with Adaptive Temporal Hierarchy for Character-Level Language Models." Proceedings of the 2nd Rep4NLP. (Long Paper) ACL, 2017. Vancouver, Canada.
Moirangthem, Dennis Singh, and Minho Lee. "Temporal hierarchies in multilayer gated recurrent neural networks for language models." 2017 International Joint Conference on Neural Networks. IEEE. IJCNN 2017, Alaska, USA.
Kiasari, Mohammad Ahangar, Moirangthem, Dennis Singh, and Minho Lee. "Generative Moment Matching Autoencoder with Perceptual Loss." International Conference on Neural Information Processing. Springer, Cham, ICONIP 2017, Guangzhou, China.
Kim, Minsoo, Moirangthem, Dennis Singh, and Minho Lee. "Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization." Proceedings of the 1st Rep4NLP. (Long Paper) ACL, 2016, Berlin, Germany.
Moirangthem Dennis Singh, V J Shine, and Varaprasad Janamala, "Application of Artificial Neural Networks in optimizing MPPT control for standalone solar PV system", International conference on contemporary computing and informatics, pp. 162-166, ISBN: 9781479966301, IEEE, IC3I 2014, Mysore, India.
Salam Campus, Imphal West, Manipur, India
