DHCP Options for Protocol for Carrying Authentication for Network Access (PANA) Authentication Agents. - Lionel Morand; Alper E. Yegin; Suraj Kumar; Syam Madanapalli (RFC, 2008)

Two-layer modular analysis of gene and protein networks in breast cancer. - Alok Srivastava; Suraj Kumar; Ramakrishna Ramaswamy (BMC Syst. Biol., 2014)

Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms. - Emmanuel Agullo; Olivier Beaumont; Lionel Eyraud-Dubois; Julien Herrmann; Suraj Kumar; Loris Marchal; Samuel Thibault (IPDPS Workshops, 2015)

Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources. - Olivier Beaumont; Terry Cojean; Lionel Eyraud-Dubois; Abdou Guermouche; Suraj Kumar (HiPC, 2016)

Are Static Schedules so Bad? A Case Study on Cholesky Factorization. - Emmanuel Agullo; Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2016)

Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs. - Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2017)

Scheduling of Dense Linear Algebra Kernels on Heterogeneous Resources. (Ordonnancement de noyaux d'algèbre linéaire dense sur ressources hétérogènes). - Suraj Kumar (2017)

Fast approximation algorithms for task-based runtime systems. - Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (Concurr. Comput. Pract. Exp., 2018)

VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. - Aayush Mishra; Suraj Kumar; Aditya Nigam; Saiful Islam (BMVC, 2019)

Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. - Suraj Kumar; Lionel Eyraud-Dubois; Sriram Krishnamoorthy (ICPP, 2019)

En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. - Aman Jaiswal; Suraj Kumar; Aditya Nigam (IJCNN, 2020)

Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources. - Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2020)

Do You Feel Me? Exploring Reception of Advertising Emotions by Consumers. - Jitendra Yadav; Madhvendra Misra; Suraj Kumar (ICCCNT, 2021)

Kalman filter based short term prediction model for COVID-19 spread. - Koushlendra Kumar Singh; Suraj Kumar; Prachi Dixit; Manish Kumar Bajpai (Appl. Intell., 2021)

Precise Parallel FEM-based Interactive Cutting Simulation of Deformable Bodies. - Harshvardhan Das; Suraj Kumar; Subodh Kumar 001 (HIPC, 2022)

TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning. - Suraj Kumar; Soumi Chattopadhyay (ICSOC, 2022)

Algorithm identification in programming assignments. - Pranshu Chourasia; Ganesh Ramakrishnan; Varsha Apte; Suraj Kumar (ICPC, 2022)

Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SPAA, 2022)

OffDQ: An Offline Deep Learning Framework for QoS Prediction. - Soumi Chattopadhyay; Richik Chanda; Suraj Kumar; Chandranath Adak (WWW, 2022)

Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (CoRR, 2022)

AI-Based Model for Detection and Classification of Alzheimer Disease. - Suraj Kumar; Narendra Pratap Singh; Banalaxmi Brahma (CVMI, 2023)

Aqua Clear: Efficient Water Management for home water supply. - Shrey Rastogi; Shivam Sharma; Suraj Kumar; Gaurav Singal (IC3, 2023)

Fast Anomaly Detection For Multivariate Industrial Time Series Data. - Suraj Kumar; Gagan Raj Gupta; Roodra Pratap Singh Parihar (ICCCNT, 2023)

Parallel Memory-Independent Communication Bounds for SYRK. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SPAA, 2023)

Fake News Detection Using Hybrid Deep Learning Method. - Arun Kumar Yadav 001; Suraj Kumar; Dipesh Kumar; Lalit Kumar; Kapil Kumar; Sandeep Kumar Maurya; Mohit Kumar; Divakar Yadav (SN Comput. Sci., 2023)

Cellular Automata Based Multiple Stream Parallel Random Number Generator for 64-Bit Computing. - Kamalika Bhattacharjee; Suraj Kumar (ASCAT, 2024)

Neural Network based Predictive Model for Bevel-Tip Needle Deflection in Percutaneous Interventions. - Bulbul Behera; Vishal Babu; Suraj Kumar; M. Felix Orlando; R. S. Anand (ICSTCC, 2024)

Multi-Volumetric Feature-Based Brain Age Prediction Using sMRI and Graph Neural Networks. - Suraj Kumar; Cota Navin Gupta (SMC, 2024)

Discrete time model predictive control for humanoid walking with step adjustment. - Vishnu Joshi; Suraj Kumar; Nithin V; Shishir Kolathaya (CoRR, 2024)

Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network. - Suraj Kumar; Soumi Chattopadhyay; Chandranath Adak (CoRR, 2024)

Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse (SIAM J. Matrix Anal. Appl., 2024)

TPMCF: Temporal QoS Prediction Using Multi-Source Collaborative Features. - Suraj Kumar; Soumi Chattopadhyay; Chandranath Adak (IEEE Trans. Netw. Serv. Manag., 2024)

Improving Multi-hop Logical Reasoning in Small LMs with LoRA Training. - Onur Bilgin; Abdullah As Sami; Suraj Kumar; John Licato (FLAIRS, 2025)

Brief Announcement: Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (SPAA, 2025)

ARRQP: Anomaly Resilient Real-Time QoS Prediction Framework With Graph Convolution. - Suraj Kumar; Soumi Chattopadhyay (IEEE Trans. Serv. Comput., 2025)

Enhanced A* Algorithm for Mobile Robot Path Planning with Non-Holonomic Constraints. - Suraj Kumar; Sudheendra R; Aditya R; Bharat Kumar G. V. P; Ravi Kumar L (CoRR, 2025)

An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification. - Utsav Kumar Nareti; Soumi Chattopadhyay; Prolay Mallick; Suraj Kumar; Ayush Vikas Daga; Chandranath Adak; Adarsh Wase; Arjab Roy (CoRR, 2025)

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (CoRR, 2025)

Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations. - Hussam Al Daas; Grey Ballard; Laura Grigori; Suraj Kumar; Kathryn Rouse; Mathieu Vérité (ACM Trans. Parallel Comput., 2025)