BANBAD - A Centralized Belief-Networks-Based Anomaly Detection Algorithm for MANETs. - Chaoli Cai; Aakash Gupta; Rajib Paul (GLOBECOM, 2009)

An Improved Structure Of Reversible Adder And Subtractor. - Aakash Gupta; Pradeep Singla; Jitendra Gupta; Nitin Maheshwari (CoRR, 2013)

An Optimized Design of Reversible Sequential Digital Circuits. - Pradeep Singla; Aakash Gupta; Ashutosh Bhardwaj; Pulkit Basia (CoRR, 2013)

Activity recognition in patients with lower limb impairments: Do we need training data from each patient? - Luca Lonini; Aakash Gupta; Konrad P. Körding; Aran Jayaraman (EMBC, 2016)

A parallel implementation of reinforced learning model used in analyzing risky decision making. - Vinay B. Gavirangaswamy; Ajay Gupta 001; Aakash Gupta (HPCS, 2016)

Implementing weighted entropy-distance based approach for the selection of software reliability growth models. - Aakash Gupta; Neeraj Gupta; Ramesh Kumar Garg 001 (Int. J. Comput. Appl. Technol., 2018)

RDMTk: A Toolkit for Risky Decision Making. - Vinay B. Gavirangaswamy; Aakash Gupta; Mark G. Terwilliger; Ajay Gupta 001 (Int. J. Cogn. Informatics Nat. Intell., 2019)

MPC-Based Vibration Control and Energy Harvesting using Stochastic Linearization for a New Energy Harvesting Shock Absorber. - Mohammad R. Hajidavalloo; Aakash Gupta; Zhaojian Li; Wei-Che Tai (CCTA, 2021)

Evaluation and Ranking of E-Government Websites Using Weighted-Combinative Distance-Based Assessment Approach. - Aakash Gupta; Mohit Bansal (Int. J. Softw. Innov., 2022)

Flood Relief Land Segmentation Path Mapping Tool Using U-Net Architecture. - M. Uma; Deeraj Nair; Aakash Gupta (IconDeepCom (2), 2023)

A multi-criteria decision support system for the assessment of cities based on air quality indicators. - Rakesh Garg; Supriya Raheja; Aakash Gupta; Geetika Munjal 001 (Int. J. Inf. Decis. Sci., 2023)

Product Recommendation System Using Large Language Model: Llama-2. - MuhammadZaid Katlariwala; Aakash Gupta (AIIoT, 2024)

The Smart Stadium Testbed for Sports Analytics Systems Research, Development and Deployment. - Shail Patel; Pranav Raj; Andrew Gao; Ryan Rodriguez; Ginwook Lee; Archie Goli; Jack Sherling; Ayman Ismail; Ananya Garg; Jungmin Um; Rylan Klein; Saahil Sharma; et al. (SN Comput. Sci., 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

ProdRev: A DNN framework for empowering customers using generative pre-trained transformers. - Aakash Gupta; Nataraj Das (CoRR, 2025)