Srijan Kumar

According to our database, Srijan Kumar authored at least 92 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Survey of Graph Neural Networks for Social Recommender Systems.

Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar

ACM Comput. Surv., October, 2024

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models.

Sejoon Oh, Yiqiao Jin, Megha Sharma, Donghyun Kim, Eric Ma, Gaurav Verma, Srijan Kumar

CoRR, 2024

Do Large Language Models Align with Core Mental Health Counseling Competencies?

Viet Cuong Nguyen, Mohammad Taher, Dongwan Hong, Vinicius Konkolics Possobom, Vibha Thirunellayi Gopalakrishnan, Ekta Raj, Zihang Li, Heather J. Soled, Michael L. Birnbaum, Srijan Kumar, Munmun De Choudhury

CoRR, 2024

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models.

Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry

CoRR, 2024

Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms.

Viet Cuong Nguyen, Mini Jain, Abhijat Chauhan, Heather Jaime Soled, Santiago Alvarez Lesmes, Zihang Li, Michael L. Birnbaum, Sunny X. Tang, Srijan Kumar, Munmun De Choudhury

CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.

Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar

CoRR, 2024

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

CoRR, 2024

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation.

Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar

CoRR, 2024

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.

Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar

CoRR, 2024

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries.

Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar

Proceedings of the ACM on Web Conference 2024, 2024

Corrective or Backfire: Characterizing and Predicting User Response to Social Correction.

Bing He, Yingchen Ma, Mustaque Ahamad, Srijan Kumar

Proceedings of the 16th ACM Web Science Conference, 2024

SVD-AE: Simple Autoencoders for Collaborative Filtering.

Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation.

Kartik Sharma, Srijan Kumar, Rakshit Trivedi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Text Rewriting for Text-aware Recommender Systems.

Sejoon Oh, Gaurav Verma, Srijan Kumar

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.

Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

International Workshop on Online and Adaptive Recommender Systems (OARS 2024).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech.

Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun De Choudhury, Srijan Kumar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms.

Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Graph Vulnerability and Robustness: A Survey.

Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau

IEEE Trans. Knowl. Data Eng., June, 2023

Advances in AI for web integrity, equity, and well-being.

Srijan Kumar

Frontiers Big Data, January, 2023

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion.

Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian

IEEE Trans. Multim., 2023

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators.

Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar

CoRR, 2023

Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation.

Bing He, Mustaque Ahamad, Srijan Kumar

Proceedings of the ACM Web Conference 2023, 2023

Characterizing and Predicting Social Correction on Twitter.

Yingchen Ma, Bing He, Nathan Subrahmanian, Srijan Kumar

Proceedings of the 15th ACM Web Science Conference 2023, 2023

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.

Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Predicting Information Pathways Across Online Communities.

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Factify 2: A multimodal fake news and satire news dataset.

S. Suryavardan, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Findings of factify 2: multimodal fake news detection.

S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes.

Shreyash Mishra, S. Suryavardan, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes.

Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Representation Learning in Continuous-Time Dynamic Signed Networks.

Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning.

Shivaen Ramshetty, Gaurav Verma, Srijan Kumar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding.

Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, Srijan Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation.

Srijan Kumar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Signed Link Representation in Continuous-Time Dynamic Signed Networks.

Mohit Raghavendra, Kartik Sharma, Anand Kumar M, Srijan Kumar

CoRR, 2022

Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations.

Sejoon Oh, Srijan Kumar

CoRR, 2022

WIKI'2022: 9th Annual Wiki Workshop.

Leila Zia, Robert West, Miriam Redi, Srijan Kumar, Emily Lescak

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Characterizing, Detecting, and Predicting Online Ban Evasion.

Manoj Niverthi, Gaurav Verma, Srijan Kumar

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations.

Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2nd Workshop on Online and Adaptive Recommender Systems (OARS).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).

Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Overcoming Language Disparity in Online Content Classification with Multimodal Learning.

Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Cross-Platform Multimodal Misinformation: Taxonomy, Characteristics and Detection for Textual Posts and Videos.

Nicholas Micallef, Marcelo Sandoval-Castañeda, Adi Cohen, Mustaque Ahamad, Srijan Kumar, Nasir D. Memon

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions.

Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rank List Sensitivity of Recommender Systems to Interaction Perturbations.

Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Implicit Session Contexts for Next-Item Recommendations.

Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.

Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models.

Bing He, Mustaque Ahamad, Srijan Kumar

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Workshop on Online and Adaptative Recommender Systems (OARS).

Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks.

Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Influence-guided Data Augmentation for Neural Tensor Completion.

Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.

Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HawkEye: a robust reputation system for community-based counter-misinformation.

Rohit Mujumdar, Srijan Kumar

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.

Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis.

Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar

CoRR, 2020

Higher-Order Label Homogeneity and Spreading in Graphs.

Dhivya Eswaran, Srijan Kumar, Christos Faloutsos

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic.

Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks.

Srijan Kumar, Xikun Zhang, Jure Leskovec

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting the Visual Focus of Attention in Multi-Person Discussion Videos.

Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam J. Metzger, Jay F. Nunamaker Jr., V. S. Subrahmanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting dominance in multi-person videos.

Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Demand-Driven Single- and Multitarget Mixture Preparation Using Digital Microfluidic Biochips.

Shalu, Srijan Kumar, Ananya Singla, Sudip Roy, Krishnendu Chakrabarty, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya

ACM Trans. Design Autom. Electr. Syst., 2018

Measuring the Evolution of a Scientific Field through Citation Frames.

David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky

Trans. Assoc. Comput. Linguistics, 2018

Learning Dynamic Embeddings from Temporal Interactions.

Srijan Kumar, Xikun Zhang, Jure Leskovec

CoRR, 2018

False Information on Web and Social Media: A Survey.

Srijan Kumar, Neil Shah

CoRR, 2018

Community Interaction and Conflict on the Web.

Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIS2: Misinformation and Misbehavior Mining on the Web.

Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

REV2: Fraudulent User Prediction in Rating Platforms.

Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Breaking Bad: Forecasting Adversarial Android Bad Behavior.

Shang Li, Srijan Kumar, Tudor Dumitras, V. S. Subrahmanian

Proceedings of the From Database to Cyber Security, 2018

2017

Characterization and Detection of Malicious Behavior on the Web.

Srijan Kumar

PhD thesis, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.

Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian

CoRR, 2017

An Army of Me: Sockpuppets in Online Discussion Communities.

Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian

Proceedings of the 26th International Conference on World Wide Web, 2017

Antisocial Behavior on the Web: Characterization and Detection.

Srijan Kumar, Justin Cheng, Jure Leskovec

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs.

Sebastian Goebl, Srijan Kumar, Christos Faloutsos

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Citation Classification for Behavioral Analysis of a Scientific Field.

David Jurgens, Srijan Kumar, Raine Hoover, Daniel A. McFarland, Dan Jurafsky

CoRR, 2016

Structure and Dynamics of Signed Citation Networks.

Srijan Kumar

Proceedings of the 25th International Conference on World Wide Web, 2016

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes.

Srijan Kumar, Robert West, Jure Leskovec

Proceedings of the 25th International Conference on World Wide Web, 2016

Metric Logic Program Explanations for Complex Separator Functions.

Srijan Kumar, Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Edge Weight Prediction in Weighted Signed Networks.

Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Vandals and Hoaxes on the Web.

Srijan Kumar

Proceedings of the First International Workshop on Computational Methods for CyberSafety, 2016

Tutorial: Identifying Malicious Actors on Social Media.

Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Layout-Aware Mixture Preparation of Biochemical Fluids on Application-Specific Digital Microfluidic Biochips.

Sudip Roy, Partha Pratim Chakrabarti, Srijan Kumar, Krishnendu Chakrabarty, Bhargab B. Bhattacharya

ACM Trans. Design Autom. Electr. Syst., 2015

Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack.

Kartik Nayak, Srijan Kumar, Andrew Miller, Elaine Shi

IACR Cryptol. ePrint Arch., 2015

VEWS: A Wikipedia Vandal Early Warning System.

Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SPINN: Suspicion prediction in nuclear networks.

Ian A. Andrews, Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.

Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips.

Sudip Roy, Srijan Kumar, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya, Krishnendu Chakrabarty

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

Accurately detecting trolls in Slashdot Zoo via decluttering.

Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences.

Tanmoy Chakraborty, Srijan Kumar, M. Dastagiri Reddy, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee

Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Routing-aware resource allocation for mixture preparation in digital microfluidic biochips.

Sudip Roy, Partha Pratim Chakrabarti, Srijan Kumar, Bhargab B. Bhattacharya, Krishnendu Chakrabarty

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2013

Efficient mixture preparation on digital microfluidic biochips.

Srijan Kumar, Sudip Roy, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya, Krishnendu Chakrabarty

Proceedings of the 16th IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems, 2013