A Survey of Deep Learning Techniques for Underwater Image Classification - Sparsh Mittal; Srishti Srivastava; J. Phani Jayanth (IEEE Trans. Neural Networks Learn. Syst., 2023)

Introducing Parallel and Distributed Computing concepts through the use of Flashcards and a Card Game - Mary Smith; Srishti Srivastava (IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023 - Workshops, St. Petersburg, FL, USA, May 15-19, 2023, 2023)

Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler - William S. Sanders; Srishti Srivastava; Ioana Banicescu (21st International Symposium on Parallel and Distributed Computing, ISPDC 2022, Basel, Switzerland, July 11-13, 2022, 2022)

A survey of deep learning techniques for vehicle detection from UAV images - Srishti Srivastava; Sarthak Narayan; Sparsh Mittal (J. Syst. Archit., 2021)

A survey on hardware security of DNN models and accelerators - Sparsh Mittal; Himanshi Gupta; Srishti Srivastava (J. Syst. Archit., 2021)

Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling - Srishti Srivastava; Ioana Banicescu; William S. Sanders (Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part II, 2020)

Robustness Analysis of Scaled Resource Allocation Models Using the Imperial PEPA Compiler - William S. Sanders; Srishti Srivastava; Ioana Banicescu (19th International Symposium on Parallel and Distributed Computing, ISPDC 2020, Warsaw, Poland, July 5-8, 2020, 2020)

Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension - Nishith Maheshwari; Srishti Srivastava; Krishnan Sundara Rajan (ISPRS Int. J. Geo Inf., 2019)

A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems - William S. Sanders; Srishti Srivastava; Ioana Banicescu (IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, Rio de Janeiro, Brazil, May 20-24, 2019, 2019)

Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities - Srishti Srivastava; Mary Smith; Amrita Ghimire; Shaun Gao (2019 IEEE/ACM Workshop on Education for High-Performance Computing, EduHPC@SC 2019, Denver, CO, USA, November 17, 2019, 2019)

Evaluating Student Engagement towards Integrating Parallel and Distributed Computing (PDC) Topics in Undergraduate Level Computer Science Curriculum - Mary Smith; Srishti Srivastava (Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE 2019, Minneapolis, MN, USA, February 27 - March 02, 2019, 2019)

PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability - Srishti Srivastava; Ioana Banicescu (17th International Symposium on Parallel and Distributed Computing, ISPDC 2018, Geneva, Switzerland, June 25-28, 2018, 2018)

Scheduling in Parallel and Distributed Computing Systems - Srishti Srivastava; Ioana Banicescu (Topics in Parallel and Distributed Computing, Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms, 2018)

Robust resource allocations through performance modeling with stochastic process algebra - Srishti Srivastava; Ioana Banicescu (Concurr. Comput. Pract. Exp., 2017)

Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology - Rajat Mehrotra; Srishti Srivastava; Ioana Banicescu; Sherif Abdelwahed (Future Gener. Comput. Syst., 2016)

Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra - Srishti Srivastava; Ioana Banicescu (18th IEEE International Conference on Computational Science and Engineering, CSE 2015, Porto, Portugal, October 21-23, 2015, 2015)

A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment - Rajat Mehrotra; Ioana Banicescu; Srishti Srivastava; Sherif Abdelwahed (Handbook on Data Centers, 2015)

Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning - Nitin Sukhija; Brandon M. Malone; Srishti Srivastava; Ioana Banicescu; Florina M. Ciorba (2014 IEEE International Parallel & Distributed Processing Symposium Workshops, Phoenix, AZ, USA, May 19-23, 2014, 2014)

An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment - Rajat Mehrotra; Srishti Srivastava; Ioana Banicescu; Sherif Abdelwahed (Adaptive Resource Management and Scheduling for Cloud Computing - First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers, 2014)

Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid - Nitin Sukhija; Ioana Banicescu; Srishti Srivastava; Florina M. Ciorba (2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013, 2013)

Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network - Srishti Srivastava; Brandon M. Malone; Nitin Sukhija; Ioana Banicescu; Florina M. Ciorba (IEEE 12th International Symposium on Parallel and Distributed Computing, ISPDC 2013, Bucharest, Romania, June 27-30, 2013, 2013)

A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability - Florina M. Ciorba; Timothy M. Hansen; Srishti Srivastava; Ioana Banicescu; Anthony A. Maciejewski; Howard Jay Siegel (26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, IPDPS 2012, Shanghai, China, May 21-25, 2012, 2012)

Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation - Mahadevan Balasubramaniam; Nitin Sukhija; Florina M. Ciorba; Ioana Banicescu; Srishti Srivastava (26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, IPDPS 2012, Shanghai, China, May 21-25, 2012, 2012)

A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications - Rajat Mehrotra; Ioana Banicescu; Srishti Srivastava (26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, IPDPS 2012, Shanghai, China, May 21-25, 2012, 2012)

Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems - Srishti Srivastava; Nitin Sukhija; Ioana Banicescu; Florina M. Ciorba (11th International Symposium on Parallel and Distributed Computing, ISPDC 2012, Munich, Germany, June 25-29, 2012, 2012)

Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications - Srishti Srivastava; Ioana Banicescu; Florina M. Ciorba; Wolfgang E. Nagel (10th International Symposium on Parallel and Distributed Computing, ISPDC 2011, Cluj-Napoca, Romania, July 6-8, 2011, 2011)

Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems - Srishti Srivastava; Ioana Banicescu; Florina M. Ciorba (24th IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010, Atlanta, Georgia, USA, 19-23 April 2010 - Workshop Proceedings, 2010)