Ajay Gupta

Orcid: 0000-0001-7881-4010

Affiliations:
  • Western Michigan University, Kalamazoo, MI, USA
  • Purdue University, West Lafayette, IN, USA (PhD 1989)


According to our database1, Ajay Gupta authored at least 81 papers between 1987 and 2024.

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Bibliography

2024
Development and evaluation of a modular experiential learning curriculum for promoting AI readiness.
Educ. Inf. Technol., February, 2024

2023
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment About ChatGPT.
Proceedings of the Intelligent Human Computer Interaction - 15th International Conference, 2023

2022
Consumer Artificial Intelligence Mishaps and Mitigation Strategies.
IEEE Consumer Electron. Mag., 2022

Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Modular experiential learning for secure, safe, and reliable AI: Curricular Initiative to Promote Education in Trustworthy AI.
Proceedings of the SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21, 2022

Parallel Resource Defined Fitness Sharing.
Proceedings of the Intelligent Human Computer Interaction, 2022

CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models.
Proceedings of the Intelligent Human Computer Interaction, 2022

A Balanced Pedagogical Approach toward AI Readiness Education for STEM Learners: Instilling a balanced view of AI capabilities through active learning in both traditional classroom and self-directed online environments.
Proceedings of the 2022 6th International Conference on Education and E-Learning, 2022

2021
Towards Faster Execution of Ensemble ML Bootstrap Based Techniques.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

2019
Fog-based local and remote policy enforcement for preserving data privacy in the Internet of Things.
Internet Things, 2019

RDMTk: A Toolkit for Risky Decision Making.
Int. J. Cogn. Informatics Nat. Intell., 2019

Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey.
CoRR, 2019

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey.
IEEE Access, 2019

2018
A multithreading and hashing technique for indexing Target-Decoy peptides databases.
Concurr. Comput. Pract. Exp., 2018

2017
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings.
CoRR, 2017

Optimizing an artificial immune system algorithm in support of flow-Based internet traffic classification.
Appl. Soft Comput., 2017

Mining Domain Similarity to Enhance Digital Indexing.
Proceedings of the 9th International Conference on Management of Digital EcoSystems, 2017

Parameters optimization of deep learning models using Particle swarm optimization.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Role of Deep LSTM Neural Networks and Wi-Fi Networks in Support of Occupancy Prediction in Smart Buildings.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on cloud.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Optimizing Protein Search Engines using Particle Swarm Optimization.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

Towards Centralized MS/MS Spectra Preprocessing: An Empirical Evaluation of Peptides Search Engines using Ground Truth Datasets.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
A parallel peptide indexer and decoy generator for crux tide using OpenMP.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

A parallel implementation of reinforced learning model used in analyzing risky decision making.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

A novel approach to detect localized muscle fatigue during isometric exercises.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2015
Towards Extracting Domains from Research Publications.
Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015

Discover trending domains using fusion of supervised machine learning with natural language processing.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
On discovering most frequent research trends in a scientific discipline using a text mining technique.
Proceedings of the 2014 ACM Southeast Regional Conference, Kennesaw, GA, USA, March 28, 2014

2013
Keynote.
Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

Assessment of ARIMA-based prediction techniques for road-traffic volume.
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems, 2013

2010
Opportunistic resource utilization networks - A new paradigm for specialized ad hoc networks.
Comput. Electr. Eng., 2010

2009
Lagrangean relaxation for service location in large-scale networks with QoS constraints.
Wirel. Commun. Mob. Comput., 2009

2008
Power Consumption Analysis of Maximum A Posterior Classifier Using LU Decomposition and Jacobi Iterations.
IEEE Trans. Parallel Distributed Syst., 2008

Using Lagrangean Relaxation for Service Location Planning with QoS Constraints in Large-Scale Networks.
Proceedings of IEEE International Conference on Communications, 2008

Localization in Ad Hoc and Sensor Wireless Networks with Bounded Errors.
Proceedings of the High Performance Computing, 2008

2007
A service location problem with QoS constraints.
Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2007

Opportunistic Networks for Emergency Applications and Their Standard Implementation Framework.
Proceedings of the 26th IEEE International Performance Computing and Communications Conference, 2007

Detection of Masquerade Attacks on Wireless Sensor Networks.
Proceedings of IEEE International Conference on Communications, 2007

The MicroOppnet tool for Collaborative Computing experiments with class 2 opportunistic networks.
Proceedings of the 3rd International Conference on Collaborative Computing: Networking, 2007

2006
Anomaly intrusion detection in wireless sensor networks.
J. High Speed Networks, 2006

Classification using Efficient LU Decomposition in Sensornets.
Proceedings of the Sixth IASTED International Multi-Conference on Wireless and Optical Communications: Conference on Communication Systems and Applications, 2006

An Efficient MAP Classifier for Sensornets.
Proceedings of the High Performance Computing, 2006

Opportunistic Networks: Challenges in Specializing the P2P Paradigm.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Power Efficient Algorithms for Computing Fast Fourier Transform over Wireless Sensor Networks.
Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

2005
Localization using evolution strategies in sensornets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Power - time optimal algorithm for computing FFT over sensor networks.
Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, 2004

Analytical Analysis of Data and Decision Fusion in Sensor Networks.
Proceedings of the International Conference on Embedded Systems and Applications, 2004

2003
Efficient embeddings of ternary trees into hypercubes.
J. Parallel Distributed Comput., 2003

On the Scalable Computation of Large Sets of Integrals.
Proceedings of the ISCA 16th International Conference on Parallel and Distributed Computing Systems, 2003

2000
Workforce-constrained Preventive Maintenance Scheduling Using Evolution Strategies.
Decis. Sci., 2000

1998
Multivariate Integration on Hypercubic and Mesh Networks.
Parallel Comput., 1998

Extrapolation in distributed adaptive integration.
Proceedings of the 5th International Conference On High Performance Computing, 1998

1997
Adaptive multivariate integration using MPI.
Proceedings of the Fourth International on High-Performance Computing, 1997

1996
Applications of Evolutionary Strategies to Fine-Grained Task Scheduling.
Parallel Process. Lett., 1996

Static Task Allocation Using (mu, lambda) Evolutionary Strategies.
Inf. Sci., 1996

Preconditioned Conjugate Gradient Solver for Large Sparse Systems on MPI.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1996

ParInt: A Software Package for Parallel Integration.
Proceedings of the 10th international conference on Supercomputing, 1996

Two Methods for Load Balanced Distributed Adaptive Integration.
Proceedings of the High-Performance Computing and Networking, 1996

Adaptive integration using evolutionary strategies.
Proceedings of the 3rd International Conference on High Performance Computing, 1996

Finite element applications of parallel adaptive integration strategies.
Proceedings of the 3rd International Conference on High Performance Computing, 1996

1995
On Improving the Performance of Tree Machines.
Int. J. High Speed Comput., 1995

Weighted selection on coarse-grain hypercubes.
Proceedings of the Seventh IEEE Symposium on Parallel and Distributed Processing, 1995

Coarse Grain Preconditioned Conjugate Gradient Solver for Large Sparse Systems.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

Singular Integral Computation with ParInt.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1995

Development of a parallel and distributed integration package - PART 1.
Proceedings of the High-Performance Computing and Networking, 1995

1994
Incomplete hypercubes: Algorithms and embeddings.
J. Supercomput., 1994

Parallel organization and performance of an information system.
Proceedings of the 1994 ACM Symposium on Applied Computing, 1994

Load Balances Priority Queues on Distributed Memory Machines.
Proceedings of the PARLE '94: Parallel Architectures and Languages Europe, 1994

Latin Cubes and Parallel Array Access.
Proceedings of the 8th International Symposium on Parallel Processing, 1994

Scheduling Tasks in Multiprocessor Systems Using Evolutionary Strategies.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993
Multiple Network Embedding into Hypercubes.
J. Parallel Distributed Comput., 1993

1992
Load balanced tree embeddings.
Parallel Comput., 1992

On Embedding Ternary Trees into Boolean Hypercubes.
Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing, 1992

Generalized Compressed Tree Machines.
Proceedings of the 6th International Parallel Processing Symposium, 1992

1991
Embedding Complete Binary Trees into Butterfly Networks.
IEEE Trans. Computers, 1991

On Optimal Embeddings into Incomplete Hypercubes.
Proceedings of the Fifth International Parallel Processing Symposium, Proceedings, Anaheim, California, USA, April 30, 1991

An Efficient Approximation Algorithm for Hypercube Scheduling.
Proceedings of the Advances in Computing and Information, 1991

Compact Hypercubes: Properties and Recognition.
Proceedings of the Advances in Computing and Information, 1991

1989
On the relationship between parallel computation and graph embeddings
PhD thesis, 1989

1987
Optimal Three-Dimensional Layouts of Complete Binary Trees.
Inf. Process. Lett., 1987


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