News:

• I will be delivering a keynote on LLM Security at AIM 2025.

• Congratulations to Jyothi for advancing to the 2025 SJSU GradSlam (3MT) final on April 22 at 2pm at the Hammer Theater! https://www.sjsu.edu/cgs/events/grad-slam/gradslam-marketing/index.php

• Congratulations to Jyothi and Kush for making it to the SJSU GradSlam (3MT) semi-finals!

• Jyothi, Shourya and Justin's paper on GenAI models for cancer mortality prediction: "Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database" accepted at AAAI Spring Symposium 2025 at Burlingame, CA! Congratulations to them!

• Mridang Kejriwal successfully defends: Employing Large Language Models and Retrieval Augmented Generation for Enhanced Predictive Flexibility in Cancer Mortality Prediction. Congratulations Mridang!

• Avinash Mangalore Suresh successfully defends: Comparative Analysis of Time Series Forecasting Using Frequency-Informed Dense Neural Networks and LSTM. Congratulations Avinash!

• The MICOSys Lab hosted Prof. Kibum Kim from Hanyang University, South Korea.

• Congratulations to Pooja and Rohan for acceptance of their paper titled Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures at PHM 2024!

• Pooja Krishan successfully defends: Adversarial Attacks and Defense Mechanisms in Multivariate Time-Series Forecasting for Applications in Smart and Connected Infrastructures. Congratulations Pooja!

• Samaikya Tippareddy successfully defends: Predicting Remaining Useful Life of Turbofan Engines on CMAPSS and N-CMAPSS using Deep Recurrent Neural Networks. Congratulations Samaikya!

• Rohan Mohapatra successfully defends his thesis: Deep Learning Approaches to Predict Remaining Useful Life of Hard Disks.  Congratulations Rohan!

• I will be chairing the Graph Mining Session at IEEE Big Data 2023 in Sorrento, Italy from Dec 15-18, 2023.

• Brian Tran successfully defends his work. Title: Poriferal Vision: Using MobileNet to Classify Sponge Spicules through Transfer Learning, co-advised with Dr. Philip Heller and Dr. Amanda Kahn. Congratulations, Brian!

• We submitted to the User Design Track of VLSID 2024 (First Author: Rohan) https://vlsid.org/

• Congratulations to Gaurav, Rohan, and Pooja for acceptance of their paper titled De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics at IEEE Big Data 2023!

• H2O Open-Source GenAI World Conference is on Nov 7, 2023, in San Francisco colocated in Marriot Marquis and The Contemporary Jewish Museum https://h2o.ai/events/generative-ai-summit/

• Walmart Global Tech Invited Research Talk and Q&A scheduled for Thursday, October 26 at 3 pm at ISB 130 (by invitation only).

• We submitted a paper to IEEE Big Data (Workshop on Multimodal AI) in 2023! (First author: Gaurav and Rohan) https://www.comstar-tech.org/workshops/2023/workshop_2023_MMAI.html

• We submitted a paper to IEEE Big Data (Main Track) 2023! (First author: Rohan) https://bigdataieee.org/BigData2023/

• Our collaboration with medical researchers and doctors at the Kasturba Medical College and Hospital (KMC) in Mangalore, India has led to the award of the Dr. T.M.A. Pai Gold Medal for outstanding research for the year 2022.

• We submitted a paper to IEEE Smartcomp 2023! (First author: Rohan) https://smartcomp.isis.vanderbilt.edu/cwp/

• We are expecting a shipment of classic and new, high-impact textbooks in Computer Science through the SJSU King Library for the lab!