News:

• Our book chapter "LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats" is accepted for publication in the upcoming Springer book, Artificial Intelligence for Cyber Defense in Emerging Threats. Congratulations to Ruppikha, Abhishek, Arnav, Anusri and Troy!

• Invited to deliver a keynote talk: Adaptive Intelligence for Resilient Systems: Integrating Model Editing and Dynamic Defenses Against Adversarial Threats at Springer AdComSys 2026 on Jun 27, 2026

• Our work MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense now on arXiv. First author: Abhishek [Read]

• Invited to attend the 2026 Conference on Physics and AI.

• Invited to chair a Session at the 2026 NSF-NAIRR Pilot CEC Conference with the Computing Research Association in Orlando, FL.

• Anaya Dandekar attended the 2026 AAPM Stanford Bio-X Young Investigators Symposium.

• Invited to review for the ICML 2026 Workshop on Hypothesis Testing.

• It was a pleasure to serve as a judge at SJHacks 2026 on April 26 at the Guildhouse, San Jose, CA.

• It was a pleasure to serve as a Judge for the NVIDIA GTC 2026 Agents for Impact Hackathon on Mar 16 in San Jose, CA.

• I delivered a keynote talk about New Perspectives on Adversarial Resilience for Cyber-Phyiscal Systems at IEEE AICARE 2025 on Nov 22, 2025.

• Our collaborative work within SJSU on Graph-Aware LLMs for Node Classification is accepted at the NeurIPS 2025 New Perspectives in Graph Machine Learning workshop. (with Mayur Choudhary and Prof. Katerina Potika)

• I will be delivering a keynote speech on Secure GenAI for Reliability at ICACECS-2025 (Springer).

• I am honored to be invited to the 2025 LG Innovation Council Homecoming Summit with leaders from bay area universities and industry research labs. 

• Congratulations to the newest lab alumni (Class of 2025) - Chinmay, Faahad,  Maanak,  Jyothi, Karthik, Kush, Prathmesh, Rithika and Ryan! Go Spartans! 

• Jyothi presented at Stat4Onc 2025 at Stanford University Biomedical Data Science (School of Medicine). Title of work: "On Improving Evaluation and Reasoning of RAG Model Responses for Cancer Survivability Analysis on SEER". A total of 17 studies were presented by groups form Harvard, Microsoft Research, UChicago, Stanford and SJSU among others.  Read: https://stat4onc.org/events/stat4onc2025/poster.html

• Our submission on Cancer Survival Analysis was accepted at the 8th Annual Statistics for Oncology (Stat4Onc) Symposium at the Stanford School of Medicine (May 16-17, 2025). Congratulations to Jyothi, Anaya and the team!

• It was a pleasure to serve as a judge at the SJSU Hackathon - SJHacks 2025! 

• 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 Anusri, Mitchell and Zainab for presenting their freshman year research on ML in the Project Engineering Success Annual Showcase!

• 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.

• 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!

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