Balaji Veeramani

26 papers A* 2B 1C 3Misc 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Citations and Trust in LLM Generated Responses. AAAI Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger
2025	J	`jnl`	Citations and Trust in LLM Generated Responses. CoRR Yifan Ding, Matthew Facciani, Amrit Poudel, Ellen Joyce, Salvador Aguiñaga, Balaji Veeramani, Sanmitra Bhattacharya, Tim Weninger
2025	J	`jnl`	Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures. CoRR Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou
2025	—	`conf`	MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. KDD (1) Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025	J	`jnl`	The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. CoRR Frank Sifei Luan, Ziming Mao, Ron Yifeng Wang, Charlotte Lin, Amog Kamsetty, Hao Chen, Cheng Su, Balaji Veeramani, Scott Lee, SangBin Cho, Clark Zinzow, Eric Liang, Ion Stoica, Stephanie Wang
2024	J	`jnl`	Continual learning and its industrial applications: A selective review. WIREs Data. Mining. Knowl. Discov. J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024	—	`conf`	Data Composition for Continual Learning in Application of Cyberattack Detection. ASONAM (4) Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024	J	`jnl`	EntGPT: Linking Generative Large Language Models with Knowledge Bases. CoRR Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	C	`conf`	Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. ICMLA Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani
2024	—	`conf`	Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. CLEF (Working Notes) Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2024	C	`conf`	Toward Robust Generative AI Text Detection: Generalizable Neural Model. ICMLA Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	J	`jnl`	A Closer Look at Bearing Fault Classification Approaches. CoRR Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani
2023	J	`jnl`	A Simple yet Efficient Ensemble Approach for AI-generated Text Detection. CoRR Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	B	`conf`	An Ensemble-Based Approach for Generative Language Model Attribution. WISE Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	Misc	`conf`	Anomaly Detection via Federated Learning. ITNAC Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen
2023	—	`conf`	Generative AI Text Classification using Ensemble LLM Approaches. IberLEF@SEPLN Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023	J	`jnl`	Generative AI Text Classification using Ensemble LLM Approaches. CoRR Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2022	J	`jnl`	Anomaly Detection via Federated Learning. CoRR Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani
2022	J	`jnl`	Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. CoRR J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2018	J	`jnl`	DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinform. Balaji Veeramani, John W. Raymond, Pritam Chanda
2010	J	`jnl`	Predicting functional associations from metabolism using bi-partite network algorithms. BMC Syst. Biol. Balaji Veeramani, Joel S. Bader
2009	J	`jnl`	Metabolic Flux Correlations, Genetic Interactions, and Disease. J. Comput. Biol. Balaji Veeramani, Joel S. Bader
2004	J	`jnl`	Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space. IEEE Signal Process. Lett. Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Leonidas D. Iasemidis, Andreas S. Spanias, Kostas Tsakalis
2003	J	`jnl`	Adaptive epileptic seizure prediction system. IEEE Trans. Biomed. Eng. Leonidas D. Iasemidis, Deng-Shan Shiau, Wanpracha Art Chaovalitwongse, J. Chris Sackellares, Panos M. Pardalos, José C. Príncipe, Paul R. Carney, Awadhesh Prasad, Balaji Veeramani, Kostas Tsakalis
2003	C	`conf`	On the Use of Directed Transfer Function for Nonlinear Systems. Modelling and Simulation Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.