Welcome to CRICS Research Lab
The Center for Research and Innovation in Cloud Systems (CRICS) at Trinity College conducts cutting-edge research at the intersection of computer systems, cloud storage reliability, AI privacy & cryptographic storage, and applied artificial intelligence.
Led by Prof. Chandranil Chakraborttii, the CRICS Lab provides undergraduate students with immersive, hands-on systems and AI research experiences. Lab members work directly with large-scale cloud datasets, enterprise storage architectures, and deep neural models, regularly publishing their work in premier ACM and IEEE conferences.
Core Research Thrusts
1. AI Privacy & Cryptographic Storage: Investigating storage-layer data reconstruction, unlearning dynamics, and cryptographic erasure in high-dimensional vector databases (HNSW) and retrieval-augmented generation (RAG) pipelines.
2. Cloud Storage Reliability & Failure Prediction: Designing machine learning, transformer, and generative models to predict anomalies and drive failures in hyperscale cloud data centers.
3. Intelligent Memory Architectures: Developing tier-aware, transformer-based adaptive prefetchers (TAP / TAP++) for hybrid memory and solid-state storage.
4. Interdisciplinary Machine Learning: Applying deep neural networks to space weather solar forecasting (funded by NASA CTSGC), intelligent transportation, and biomedical image segmentation.
People Page
Lab Lead: Chandranil Chakraborttii, Ph.D.
Assistant Professor of Computer Science, Trinity College
Lead, Center for Research and Innovation in Cloud Systems (CRICS)
Email: nil.chakraborttii@trincoll.edu
Undergraduate Research Assistants & Co-Authors
Vector Databases, AI Privacy & Cryptographic Storage
- Jackeline García Alvarado – Co-author, ACM SoCC 2026 (Vector database storage reconstruction and secure unlearning).
- Sitora Abdulofizova – Co-author, ACM SoCC 2026 (Graph-based vector index security and cryptographic erasure).
- Talakinet Weibo – Co-author, ACM SoCC 2026 (Storage-layer reconstruction in HNSW databases).
- Shivanshu Dwivedi – Co-author, ACM SoCC 2026 (Vector database deletion verification; Deep Neural Networks).
- Allan Mukkuzhi – Co-author, ECML-PKDD SHIELD 2026 (Semantic erasure failure in retrieval-backed RAG applications).
- Jacob Kammerzell – Co-author, ECML-PKDD SHIELD 2026 (RAG security and unlearning dynamics).
Noella Uwayisenga – Co-author, ECML-PKDD SHIELD 2026 (Retrieval-backed LLM privacy and semantic deletion).
- Yeabsira Bizualem – Co-author, ECML-PKDD SHIELD 2026 (Semantic deletion residue analysis; IntelliMedAI).
Intelligent Memory & Systems Research
- Shazif Ahmed – Summer Research Assistant (I/O access pattern learning for hybrid memory prefetching).
- Ibsa Tassew – Summer Research Assistant (Deep learning-based hybrid memory management).
- Shamsher Tamang – Research Assistant (IntelliMedAI: Open-source healthcare transcription models).
NASA Space Weather & Anomaly Forecasting
- Stephen Antogiovanni – Co-author, Pan-African AI (PAAISS 2025); Winner, Travelers Best Senior Project Award (Class of 2024) (NASA CTSGC solar flare forecasting).
- Tarek Alsolame – Co-author, PAAISS 2025; Summer Research Fellow (Coronal hole activity prediction).
- BDS Aritra – Co-author, PAAISS 2025 (Deep neural network modeling for solar telemetry).
- Enock Niyonkuru – Co-author, PAAISS 2025 (Space weather anomaly data analysis).
Graph Learning, Cybersecurity & Applied AI
- Hyun Lee – Co-author, ICNSS 2024 (Graph representation learning with walkLM for community detection).
- Chris Yi – Co-author, ICNSS 2024 (Graph representation learning for community detection).
- Kiet Ha – Co-author, IEEE COMPSAC 2024 (Generative synthetic data for insurance fraud detection).
- Lucas Stowe – Co-author, IEEE COMPSAC 2024 (Insurance fraud detection with machine learning).
Dhiraj Anand Ganji – Co-author, IEEE DSML 2023; Winner, Travelers Best Senior Project Award (Class of 2023) (Privacy-preserving cybersecurity data generation).
- Yicheng Zhu – Co-author, IEEE SII 2023; Summer Research Fellow (Deep learning for biomedical image segmentation).
- Brandon Hudson – Co-author, IEEE SII 2023; Summer Research Fellow (Image segmentation of rodent behavioral assays).
- Jonas Boettner – Co-author, IEEE CDS 2023; Summer Research Fellow (Temporal failure modeling for SSDs in data centers).
- Hanyang Luo – Summer Research Fellow (Feature analysis for cloud storage failure prediction).
CRICS Alumni Destinations
Our undergraduate alumni have continued on to top graduate programs and industry roles at companies including Amazon, Travelers, Morningstar, M7 Health, PartsTech or joined PhD positions at Cornell University, Columbia University, Georgia Tech, RIT, Purdue University, and UCSF.Research Partners & Sponsors
