Vandana V. Mukherjee

23 papers A* 2Misc 3Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization.
EACL (Industry Track)
Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Hsinyu Tsai, Vandana V. Mukherjee, Ehsan Degan
2026 J jnl
CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization.
CoRR
Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Vandana V. Mukherjee, Hsinyu Tsai, Ehsan Degan
2026 — conf
SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization.
EACL (Industry Track)
Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav, David Beymer, Ehsan Degan, Vandana V. Mukherjee
2026 J jnl
SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization.
CoRR
Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav, David Beymer, Ehsan Degan, Vandana V. Mukherjee
2025 A* conf
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation.
ICML
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang
2025 J jnl
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation.
CoRR
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana V. Mukherjee, Xin Zhang
2025 A* conf
DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis.
IJCAI
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2025 J jnl
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis.
CoRR
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chizor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2024 — conf
Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk.
BIOSTEC (1)
David Beymer, Vandana V. Mukherjee, Anup Pillai, Hakan Bulu, Vanessa Burrowes, James H. Kaufman, Ed Seabolt
2022 — ch.
Application of Federated Learning in Medical Imaging.
Federated Learning
Ehsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee
2022 J jnl
Functional Genomics Platform, A Cloud-Based Platform for Studying Microbial Life at Scale.
IEEE ACM Trans. Comput. Biol. Bioinform.
Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mark Kunitomi, Mary Roth, Vandana V. Mukherjee, James H. Kaufman
2021 — conf
Automatic localization of lung opacity in chest CT images: a real-world study.
Computer-Aided Diagnosis
Yiting Xie, Deepta Rajan, Larissa C. Schudlo, Yusuke Takeuchi, Benedikt Graf, Adam Coy, Mohammadreza Negahdar, Vandana V. Mukherjee, David Beymer, Arun Krishnan
2021 J jnl
On the role of artificial intelligence in medical imaging of COVID-19.
Patterns
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
2021 J jnl
On the role of artificial intelligence in medical imaging of COVID-19.
Patterns
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
2021 Misc conf
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization.
AMIA
Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020 J jnl
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
2020 — conf
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA.
HEALTHINF
Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020 J jnl
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA.
CoRR
Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020 — conf
Towards Visual Dialog for Radiology.
BioNLP
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee
2019 J jnl
OMXWare, A Cloud-Based Platform for Studying Microbial Life at Scale.
CoRR
Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mary Roth, Vandana V. Mukherjee, James H. Kaufman
2019 — conf
Visual Dialog for Radiology: Data Curation and FirstSteps.
ViGIL@NeurIPS
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee
2018 Misc conf
Generalized Extraction and Classification of Span-Level Clinical Phrases.
AMIA
Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2018 Misc conf
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records.
AMIA
Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood