LMPI: MPI for Heterogeneous Embedded Distributed Systems. - Adnan Agbaria; Dong-In Kang; Karandeep Singh (ICPADS (1), 2006)

A Model for Prevention of Software Piracy through Secure Distribution. - Vaddadi P. Chandu; Karandeep Singh; Ravi Baskaran (SCSS (1), 2007)

A Model for Multiplayer Interactive Games in Cellular Wireless Environment. - Vaddadi P. Chandu; Karandeep Singh (Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, 2008)

A Single Accelerometer based Wireless Embedded System for Predefined Dynamic Gesture Recognition. - Rahul Parsani; Karandeep Singh (IHCI, 2009)

AutoBot: A Low Cost Platform for Swarm Research Applications. - Manil Gupta; Karandeep Singh (ICETET, 2010)

Heterogeneous Cloud Computing. - Stephen P. Crago; Kyle Dunn; Patrick Eads; Lorin Hochstein; Dong-In Kang; Mikyung Kang; Devendra Modium; Karandeep Singh; Jinwoo Suh; John Paul Walters (CLUSTER, 2011)

Estimation of Traffic Densities for Multilane Roadways Using a Markov Model Approach. - Karandeep Singh; Baibing Li (IEEE Trans. Ind. Electron., 2012)

An Electronic Health Record for Google Glass: A System Demonstration. - Karandeep Singh (AMIA, 2014)

Developing an Electronic Health Record for Google Glass: Challenges and Use Cases. - Karandeep Singh; Adam B. Landman; Joseph V. Bonventre; Adam Wright (AMIA, 2014)

Multi-Agent modeling for match-making using BDI architecture. - Mazhar Sajjad; Karandeep Singh; Chang-Won Ahn (HPCS, 2015)

Policy evaluation by analysing population emergent behaviour with a microsimulation and multi agent based model. - Karandeep Singh Brar; Mazhar Sajjad; Chang-Won Ahn (ISAMSR, 2015)

Smart Glasses - A New Tool in Medicine. - Gunnar O. Klein; Karandeep Singh; Johan von Heideken (MedInfo, 2015)

Mobile Apps for Vulnerable Populations Study. - Urmimala Sarkar; Gato Gourley; Courtney R. Lyles; Lina Tieu; Cassidy Clarity; Lisa P. Newmark; Karandeep Singh; David W. Bates (AMIA, 2016)

Combining Microsimulation and Agent-Based Model for Micro-Level Population Dynamics. - Jang Won Bae; Euihyun Paik; Kiho Kim; Karandeep Singh; Mazhar Sajjad (ICCS, 2016)

Population dynamics analysis for policy evaluation using micro-level population dynamics. - Karandeep Singh; Jang Won Bae; Euihyun Paik (HPCS, 2016)

A Data-Driven Approach for Agent-Based Modeling: Simulating the Dynamics of Family Formation. - Mazhar Sajjad; Karandeep Singh; Euihyun Paik; Chang-Won Ahn (J. Artif. Soc. Soc. Simul., 2016)

A holistic agent based model for demography. - Karandeep Singh; Chang-Won Ahn (SSCI, 2017)

Computational Social Science (Analytical Methods for Social Research) by R. Michael Alvarez. - Karandeep Singh (J. Artif. Soc. Soc. Simul., 2017)

Towards a Learning Health System to Reduce Emergency Department Visits at a Population Level. - Elliott Brannon; Tianshi Wang; Jeremy Lapedis; Paul Valenstein; Michael S. Klinkman; Ellen Bunting; Alice Stanulis; Karandeep Singh (AMIA, 2018)

Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (ICHI Workshops, 2018)

An Agent Based Model Approach for Perusal of Social Dynamics. - Karandeep Singh; Chang-Won Ahn (IEEE Access, 2018)

A Micro-Level Data-Calibrated Agent-Based Model: The Synergy between Microsimulation and Agent-Based Modeling. - Karandeep Singh; Chang-Won Ahn; Euihyun Paik; Jang Won Bae; Chun-Hee Lee (Artif. Life, 2018)

Identifying Challenges and Opportunities in Human-AI Collaboration in Healthcare. - Sun Young Park; Pei-Yi Kuo; Andrea Barbarin; Elizabeth Kaziunas; Astrid Chow; Karandeep Singh; Lauren Wilcox; Walter S. Lasecki (CSCW Companion, 2019)

Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. - David A. Hanauer; Qiaozhu Mei; V. G. Vinod Vydiswaran; Karandeep Singh; Zach Landis-Lewis; Chunhua Weng (BMC Medical Informatics Decis. Mak., 2019)

QoS-Based Zero-Rating of Cellular Applications. - Ramneek; Patrick Hosein; Sangheon Pack; Karandeep Singh (ICOIN, 2020)

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. - Sundong Kim; Yu-Che Tsai; Karandeep Singh; Yeonsoo Choi; Etim Ibok; Cheng-Te Li; Meeyoung Cha (KDD, 2020)

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter. - Sungkyu Park; Sungwon Han 001; Jeongwook Kim; Mir Majid Molaie; Hoang Dieu Vu; Karandeep Singh; Jiyoung Han; Wonjae Lee; Meeyoung Cha (CoRR, 2020)

Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. - Sundong Kim; Tung-Duong Mai; Thi Nguyen Duc Khanh; Sungwon Han 001; Sungwon Park 001; Karandeep Singh; Meeyoung Cha (CoRR, 2020)

Prospective monitoring of imaging guideline adherence by physicians in a surgical collaborative: comparison of statistical process control methods for detecting outlying performance. - Michael Inadomi; Karandeep Singh; Ji Qi; Rodney Dunn; Susan Linsell; Brian T. Denton; Patrick Hurley; Eduardo Kleer; James Montie; Khurshid Ghani (BMC Medical Informatics Decis. Mak., 2020)

Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. - Suchi Saria; Marzyeh Ghassemi; Ziad Obermeyer; Karandeep Singh; Pei-Yun S. Hsueh; Eric J. Topol (AMIA, 2021)

The Internet of Federated Things (IoFT). - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Jionghua Jin 001; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (IEEE Access, 2021)

Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic. - Karandeep Singh; Gabriel Lima; Meeyoung Cha; Chiyoung Cha; Juhi Kulshrestha; Yong-Yeol Ahn; Onur Varol (CoRR, 2021)

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Judy Jin; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (CoRR, 2021)

Downscaling Earth System Models with Deep Learning. - Sungwon Park 001; Karandeep Singh; Arjun Nellikkattil; Elke Zeller; Tung-Duong Mai; Meeyoung Cha (KDD, 2022)

Generalizability of an acute kidney injury prediction model across health systems. - Jie Cao 015; Xiaosong Zhang; Vahakn Shahinian; Huiying Yin; Diane Steffick; Rajiv Saran; Susan Crowley; Michael Mathis; Girish N. Nadkarni; Michael Heung; Karandeep Singh (Nat. Mac. Intell., 2022)

Self-supervised learning for climate downscaling. - Karandeep Singh; Chaeyoon Jeong; Sungwon Park 001; Arjun N. Babur; Elke Zeller; Meeyoung Cha (BigComp, 2023)

GraphFC: Customs Fraud Detection with Label Scarcity. - Karandeep Singh; Yu-Che Tsai; Cheng-Te Li; Meeyoung Cha; Shou-De Lin (CIKM, 2023)

Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). - Faris F. Gulamali; Ashwin Sawant; Ira S. Hofer; Matthew A. Levin; Alexander Charney; Karandeep Singh; Benjamin S. Glicksberg; Girish N. Nadkarni (MLHC, 2023)

An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. - Faris F. Gulamali; Ashwin S. Sawant; Lora Liharska; Carol R. Horowitz; Lili Chan; Patricia H. Kovatch; Ira S. Hofer; Karandeep Singh; Lynne D. Richardson; Emmanuel Mensah; Alexander W. Charney; David L. Reich; et al. (CoRR, 2023)

Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model. - Naufal Shidqi; Chaeyoon Jeong; Sungwon Park 001; Elke Zeller; Arjun Babu Nellikkattil; Karandeep Singh (CoRR, 2023)

Editorial: Surfacing best practices for AI software development and integration in healthcare. - Mark P. Sendak; David E. Vidal; Sylvia Trujillo; Karandeep Singh; Xiaoxuan Liu; Suresh Balu (Frontiers Digit. Health, 2023)

Assessing the net benefit of machine learning models in the presence of resource constraints. - Karandeep Singh; Nigam H. Shah; Andrew J. Vickers (J. Am. Medical Informatics Assoc., 2023)

Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction. - Karandeep Singh; SeungEon Lee 001; Giuseppe (Joe) Labianca; Jesse Michael Fagan; Meeyoung Cha (ACM Trans. Knowl. Discov. Data, 2023)

Enabling collaborative governance of medical AI. - W. Nicholson Price; Mark P. Sendak; Suresh Balu; Karandeep Singh (Nat. Mac. Intell., 2023)

Active Learning for Human-in-the-Loop Customs Inspection. - Sundong Kim; Tung-Duong Mai; Sungwon Han 001; Sungwon Park 001; Thi Nguyen Duc Khanh; Jaechan So; Karandeep Singh; Meeyoung Cha (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Vision for Climate Downscaling. - Karandeep Singh; Chaeyoon Jeong; Naufal Shidqi; Sungwon Park 001; Arjun Nellikkattil; Elke Zeller; Meeyoung Cha (IJCAI, 2024)

Brinjal: A Web-Plugin for Collaborative Hate Speech Detection. - Ming Shan Hee; Karandeep Singh; Charlotte Ng Si Min; Kenny Tsu Wei Choo; Roy Ka-Wei Lee (WWW (Companion Volume), 2024)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance. - Ben Van Calster; Gary S. Collins; Andrew J. Vickers; Laure Wynants; Kathleen F. Kerr; Lasai Barreñada; Gaël Varoquaux; Karandeep Singh; Karel G. M. Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J. Mclernon; et al. (CoRR, 2024)

Development and prospective implementation of a large language model based system for early sepsis prediction. - Supreeth P. Shashikumar; Sina Mohammadi; Rishivardhan Krishnamoorthy; Avi Patel; Gabriel Wardi; Joseph C. Ahn; Karandeep Singh; Eliah Aronoff Spencer; Shamim Nemati (npj Digit. Medicine, 2025)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. - Esra Adiyeke; Tianqi Liu; Venkata Sai Dheeraj Naganaboina; Han Li; Tyler J. Loftus; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Karandeep Singh; Ruogu Fang; Parisa Rashidi; Azra Bihorac; et al. (CoRR, 2025)