Publications 

Journal publications
  • LG Jaimes, H Chintakunta, P Abedin, SenseNow: A Time-Dependent Incentive Approach for Vehicular Crowdsensing, IEEE Open Journal of Intelligent Transportation Systems 2024
  • R Sanchez-Arias, MS Habib, L Jaimes, S Taj, Understanding the State of Broadband Connectivity: An Analysis of Speedtests and Emerging Technologies, IEEE Acces 2023
  • LG Jaimes, A Chakeri, R Steele, Localized cooperation for crowdsensing in a fog computing-enabled internet-of-things, Springer, Journal of Ambient Intelligence and Humanized Computing 14, 2023
  • R Steele, T Hillsgrove, N Khoshavi, LG Jaimes,  A survey of cyber-physical system implementations of real-time personalized interventions, Springer, Journal of Ambient Intelligence and Humanized Computing, 1-18 2022
  • A Chakeri, X Wang, LG Jaimes, A vehicular crowdsensing market for AVs, IEEE Open Journal of Intelligent Transportation Systems 3, 278-287 2022
  • R Steele, T Hillsgrove, N Khoshavi, LG Jaimes, "A survey of cyber-physical system implementations of real-time personalized interventions" (Springer, Journal of Ambient Intelligence and Humanized Computing, 1-18) 2021
  • A Chakeri, X Wang, Q Goss, M Akbas, LG Jaimes, "A Platform-based Incentive Mechanism for Autonomous Vehicle Crowdsensing", (IEEE Open Journal of Intelligent Transportation Systems) 2021 [pdf] [BibTex]
  • N Khoshavi, M Maghsoudloo, Y Bi, W Francois, L Jaimes, A Sargolzaei, “A survey on attack vectors in stack cache memory”, (Elsevier, Integration Journal), 2020 [pdf] [BibTex]
  • Robert Steele, LG Jaimes, “Crowdsensing Sub-populations in a Region”, (Springer, Journal of Ambient Intelligence and Humanized Computing), 2019 [pdf] [BibTex]
  • LG Jaimes, Robert Steele, “Localized Cooperation for Crowdsensing in a Fog Computing-enabled IoT”, (Springer, Journal of Ambient Intelligence and Humanized Computing), 2018 [pdf] [BibTex]
  • L G. Jaimes, Robert Steele, "Mobie Stress Interventions Mechanism.."  (Transactions on Pervasive Health and Technology) 2018 [pdf] [BibTex]
  • A Chakeri, L G. Jaimes, "An Incentive Mechanism for Crowdsensing Markets with Multiple..", (IEEE Internet of Things Journal)  2018 [pdf] [BibTex]
  • I Vergara, L G. Jaimes, Miguel A. Labrador, "Privacy Mechanisms for Crowdsensing Survey ". (IEEE Internet of Things Journal) 2017 [pdf] [BibTex]
  • I Vergara, D Mendez, L G. Jaimes, M A. Labrador ”A-PIE: An algorithm for preser..", .(Elsevier, Pervasive and Mobile Computing), 2016. [pdf] [BibTex]
  • L G. Jaimes, I Vergara, A Raij. “A Location-based Incentive Algorithm for Consecutive..”,  (IEEE Transactions. Latin America) 2016. [pdf] [BibTex]
  • L G. Jaimes, A Raij. “Preventer, a Selection Mechanism for Just-in-time interventions”, (IEEE Transactions, Affective Computing)  2016. [pdf] [BibTex]
  • L G. Jaimes, I Vergara, A Raij. “A Survey on Incentive Techniques for Crowd Sensing”, (IEEE Internet of Things Journal) 2015 [pdf] [BibTex]
  • L G. Jaimes and F. Vega. “Classical models for information retrieval”. (Integration Journal) Vol. 23, pp 17-2, 2005.[pdf] [BibTex]

Conference publications
  • H Chintakunta, X Wang, LG Jaimes Improving sensing coverage in vehicular crowdsensing using location diversity, IEEE, 2022 International Conference on Connected Vehicle and Expo (ICCVE), 1-6 2022
  • LG Jaimes, J Calderon, S Shriver, A Hendricks, J Lozada, S Seenith,  A generative adversarial approach for sybil attacks recognition for vehicular crowdsensing, IEEE, 2022 International Conference on Connected Vehicle and Expo (ICCVE), 1-7 2022
  • X Wang, J Calderon, N Khoshavi, LG Jaimes, Path and floor detection in outdoor environments for fall prevention of the visually impaired population2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)​, 2022
  • C Holland, N Khoshavi, LG Jaimes, Code authorship identification via deep graph CNNs, Proceedings of the 2022 ACM Southeast Conference, 144-150, 2022
  • LG Jaimes, J Kahr, JM Calderon, "An Incentive Mechanism for UAVs Crowdsensing Markets, a Negotiation Approach", IFAC-TECIS 2021
  • H. Chintakunta, J Kahr, LG Jaimes, "A Vehicular Crowd-sending Incentive Mechanism for Temporal Coverage", IEEE CCNC 2021  [pdf] [BibTex]
  • LG Jaimes, JM Calderon, "An UAV-based incentive mechanism for Crowdsensing with budget constraints", IEEE CCNC 2020 [pdf] [BibTex]
  • Q Goss, Mİ Akbaş, A Chakeri, LG Jaimes, "An Association-Rules Learning Approach to Unsupervised Classification of Street Networks", 2020 SoutheastCon, 1-7, 2020 [pdf] [BibTex]
  • X Wang, Q Goss, Mİ Akbaş, A Chakeri, JM Calderon, LG Jaimes, Incentive Mechanism for Vehicular Crowdsensing with Budget Constrains, 2020 SoutheastCon, 1-7 [pdf] [BibTex]
  • Navid Khoshavi, William Francois, Mohammad Maghsoudloo, Luis  G. Jaimes, Arman Sargolzaei, “A Survey on Side Channel Attacks in Processor-Memory Chip Stack", IEEE-Souteastcon, 2020 (accepted) [pdf] [BibTex]
  • Xin Wang, Juan Calderon, Navid Khoshav, Luis G Jaimes “Floor Detection in Outdoor Environments Through the Use of Deep Learning Approach”, IEEE-Souteastcon, 2019 (accepted) [pdf] [BibTex]
  • Q. Goss, M. I. Akbas, Luis G. Jaimes and R. Sanchez-Arias. "Street Network Generation with Adjustable Complexity Using k-Means Clustering", IEEE-Souteastcon, 2019 (accepted) [pdf] [BibTex]
  • Wilson O Quesada, Jonathan I Rodriguez, Juan C Murillo, Gustavo A Cardona, David Yanguas-Rojas, LG Jaimes, Juan M Calderón, "Leader-Follower Formation for UAV Robot Swarm Based on Fuzzy Logic Theory" 2018 [pdf] [BibTex]
    International Conference on Artificial Intelligence and Soft Computing, 740-751 2018 [pdf] [BibTex]
  • J León, GA Cardona, LG Jaimes, JM Calderón, PO Rodriguez, "Rendezvous Consensus Algorithm Applied to the Location of Possible Victims in Disaster Zones", International Conference on Artificial Intelligence and Soft Computing, 700-710, 2018 [pdf] [BibTex]
  • J M Calderon, L G Jaimes, "A Fuzzy Control-based Approach for the Selection of Health Interventions", at  IEEE Consumer Communications and Networking Conference (IEEE-CCNC), 2018 [pdf] [BibTex]
  • L G. Jaimes, J M C, Gaussian Mixture Models for Crowdsensing Incentivization"  at IEEE-CCWC 2018 [pdf] [BibTex]
  • L G. Jaimes,  J M C, Location-based Social Networks Data for Mobile Crowdsensing" at IEEE-CCWC 2018 [pdf] [BibTex]
  • L G. Jaimes, R Steele,  "Incentivization for Health Crowdsensing".  at IEEE CyberTech 2017 [pdf] [BibTex]
  • J M Calderon, L G Jaimes, "A Control-based Modeling approach for Simulating Reaction to Stress Interventions", (International Symposium on Sensor Networks, Systems and Security) 2017 [pdf] [BibTex]
  • K Gagneja, Luis G Jaimes "Computational Security and Economics of the Password Hacking", (Springer, Communications in Computing and Information Science), 30-40, 2017  [pdf] [BibTex]
  • ​A Chakeri, L G. Jaimes,  "An Iterative Incentive Mechanism Design For Crowd Sensing Using Best Response Dynamics", at IEEE International Conference on Communications  (IEEE-ICC) 2017 [pdf] [BibTex]
  • S Clark, L G. Jaimes, M Labrador, "mStress, a Mobile Recommender System for Just-in-Time Interventions for Stress", at  IEEE Consumer Communications and Networking Conference (IEEE-CCNC), 2017 [pdf] [BibTex][slides]
  • I Vergara, L G. Jaimes, "Fall Detection System for the Elderly'", at the (IEEE-CCWC) 2017 [pdf] [BibTex][slides]
  • L G Jaimes, K Gagneja, M Akbas, I Vergara, "Future Stress, Forecasting Physiological Signals", (IEEE-CCWC) 2017 [pdf] [BibTex][slides]
  • H Baez, I Vergara, L T Molina, L G. Jaimes, M A. Labrador, "Fall Detection System for the Elderly'"  (IEEE-CCWC) 2017 [pdf] [BibTex][slides] Best Paper Award in Mobile and Pervasive Computing Track !!
  • L G. Jaimes, Y de la Hoz, C Eggert, I Vergara, “PAT: A Power-Aware Decision Tree Algorithm for Mobile Activity Recognition”, IEEE Consumer Communications and Networking Conference (IEEE-CCNC) , 2016 [pdf] [BibTex][slides] 
  • L G. Jaimes, On the Selection of Just-in-time Interventions, (Scholar Commons). [pdf] [BibTex][slides]
  • A Amouri, L G. Jaimes, I Vergara “A Simple Pseudo Clustering Scheme for Cross Layer Intrusion Detection in MANET", (IEEE-LatinCom) 2015  [pdf] [BibTex][slides]
  • Luis G. Jaimes, Idalides Vergara-Laurens, “CORREDOR, A mobile Human-Centric Sensing System for Activity Recognition", (IEEE-LatinCom) 2015  [pdf] [BibTex][slides]
  • I Vergara, L G. Jaimes “Using Network Analysis for Improving Privacy in Crowd Sensing Systems", (IEEE-LatinCom) 2015  [pdf] [BibTex][slides]
  • L G. Jaimes, A Raij. “CALMA, an Algorithm Framework for Mobile Just-in-time-interventions”,(IEEE-SouthEastCon) 2015  [pdf] [BibTex][slides]
  • Luis G. Jaimes, Alireza Chakeri, Juan L. Marcano, Andrew Raij. “A Cooperative Incentive Mechanism for Recurrent Crowd Sensing”,(IEEE-SouthEastCon) 2015  [pdf] [BibTex][slides].
  • Luis G. Jaimes, Juan L. Marcano, Juan Caldero, Andrew Raij. “Trends in Mobile Cyber-Physical Systems for Just-in-Time Health Interventions”, (IEEE-SouthEastCon) 2015  [pdf] [BibTex][slides]
  • L G. Jaimes, M Llofriu, A Raij. “"A Stress-Free Life: Just-in-Time Interventions for Stress via Real-Time Forecasting and Intervention Adaptation”,International Conference on Body Area Networks (ACM-Bodynets), 2014.[pdf] [BibTex][slides]
  •  L G. Jaimes, I Vergara, A Raij, “A Crowd Sensing Incentive Algorithm for Data Collection for Consecutive Time Slot problems”, (IEEE-LatinCom) 2015  [pdf] [BibTex][slides]
  • L G. Jaimes, A Raij. “Forecasting Biorhythms for Preventative Stress Interventions”. Biological Rhythms & Technology workshop at (ACM-CHI) 2014 [pdf] [BibTex][slides]
  • L G. Jaimes, A Raij, I Vergara, A Chakeri. “SPREAD, a Crowd Sensing Incentive Mechanism to Acquire Better Representative Samples”.WS IEEE-International Conference on Pervasive computing  (IEEE-PerCom) 2014 [pdf] [BibTex][slides]
  • Luis G. Jaimes, Tylar Murray, Andrew Raij, “Increasing Trust in Personal Informatics Tools”, Springer-Verlag LNCS Volume 8014, 2013, pp 520-529, 2013 [pdf] [BibTex][slides]
  • Tylar Murray, Luis G. Jaimes, Eric Hekler, Donna Spruijt-Metz, and Andrew Raij, “Demonstration Paper: A Glanceable Mobile Avatar for Behavior Change,” (ACM  Wireless Health), 2013 [pdf] [BibTex][slides]. 
  • L G. Jaimes, I Vergara, and M A. Labrador. “A Location-Based Incentive Mechanism for Participatory Sensing Systems with Budget Constraints”. IEEE-International Conference on Pervasive computing  (IEEE-PerCom) 2012 [pdf] [BibTex][slides]
  • L G. Jaimes, A Location-Based Incentive Mechanism for Participatory Sensing Systems with Budget Constraints, Scholar Commons, 2012. [pdf] [BibTex][slides]
  • L G. Jaimes and V Torra. “On the Selection of Parameter m in Fuzzy c-Means: A Computational Approach”. Springer-Verlag Berlin Heidelberg, Advances in Intelligent and Soft Computing, 2010. [pdf] [BibTex]
  • Axel Rodriguez, Luis G. Jaimes. “Development of a Methodology to Find the Number of Clusters in Hyper Spectral Unsupervised Images”. In Proc. National Conference NCUR, 2008 [pdf] [BibTex]
  •  L G. Jaimes, Using cluster analysis to describe profiles in large databases. Scholar Commons, 2004. [pdf] [BibTex][slides]