Publications (29)
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Quality-of-Service (QoS) prediction is a critical task in the service lifecycle, enabling precise and adaptive service recommendations by anticipating performance variations over t…
Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation
Hussam Al Daas, Grey Ballard, Laura Grigori +3
In this article, we focus on the parallel communication cost of multiplying the same vector along two modes of a -dimensional symmetric tensor. This is a key computation in the…
Strongly correlated multi-electron bunches from interaction with quantum light
Suraj Kumar, Jeremy Lim, Nicholas Rivera +4
Strongly correlated electron systems are a cornerstone of modern physics, being responsible for groundbreaking phenomena from superconducting magnets to quantum computing. In most…
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Recently, with the rapid deployment of service APIs, personalized service recommendations have played a paramount role in the growth of the e-commerce industry. Quality-of-Service…
Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission
Suraj Kumar, Aditya Rallapalli, Bharat Kumar GVP
Typical lunar landing missions involve multiple phases of braking to achieve soft-landing. The propulsion system configuration for these missions consists of throttleable engines.…
Rees algebra and almost linearly presented ideals in three variables
Suraj Kumar
Let $R=\k[x,y,z]$ and be a height two perfect ideal which is almost linearly presented (that is, all but the last column have linear entries, but the last c…
Roadmap on spatiotemporal light fields
Yijie Shen, Qiwen Zhan, Logan G. Wright +42
Spatiotemporal sculpturing of light pulse with ultimately sophisticated structures represents the holy grail of the human everlasting pursue of ultrafast information transmission a…
Discrete time model predictive control for humanoid walking with step adjustment
Vishnu Joshi, Suraj Kumar, Nithin V +1
This paper presents a Discrete-Time Model Predictive Controller (MPC) for humanoid walking with online footstep adjustment. The proposed controller utilizes a hierarchical control…
Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices
Hussam Al Daas, Grey Ballard, Laura Grigori +4
Sketching is widely used in randomized linear algebra for low-rank matrix approximation, column subset selection, and many other problems, and it has gained significant traction in…
Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions
Suraj Kumar, Utsav Kumar Nareti, Soumi Chattopadhyay +2
Accurate book genre classification is fundamental to digital library organization, content discovery, and personalized recommendation. Existing approaches typically model genre pre…
Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
Suraj Kumar, Debjyoti Chakrabarti, Aditya Rallapalli +2
This paper presents the real-time retargeting guidance policy developed for the Chandrayaan-3 lunar landing mission. The baseline guidance generates approximate fuel-optimal descen…
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey +3
The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Exis…
Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability
Suraj Kumar, Aditya Rallapalli, Nivriti Priyadarshini +2
Electric propulsion is used to maximize payload capacity in communication satellites. These orbit raising maneuvers span several months and hundreds of revolutions, making trajecto…
Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission
Aditya Rallapalli, Suraj Kumar, Rijesh MP +2
Recent successful lunar landing missions have generated significant interest among space agencies in establishing a permanent human settlement on the Moon. Building a lunar base re…
Descriptive Model-based Learning and Control for Bipedal Locomotion
Suraj Kumar, Andy Ruina
Bipedal balance is challenging due to its multi-phase, hybrid nature and high-dimensional state space. Traditional balance control approaches for bipedal robots rely on low-dimensi…
Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations
Hussam Al Daas, Grey Ballard, Laura Grigori +3
In this article, we focus on the communication costs of three symmetric matrix computations: i) multiplying a matrix with its transpose, known as a symmetric rank-k update (SYRK) i…
Enhanced Algorithm for Mobile Robot Path Planning with Non-Holonomic Constraints
Suraj Kumar, Sudheendra R, Aditya R +2
In this paper, a novel method for path planning of mobile robots is proposed, taking into account the non-holonomic turn radius constraints and finite dimensions of the robot. The…
SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
Suraj Kumar, Arvind Kumar, Soumi Chattopadhyay
Dependable service-oriented computing relies on multiple Quality of Service (QoS) parameters that are essential to assess service optimality. However, real-world QoS data are extre…
Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
Utsav Kumar Nareti, Soumi Chattopadhyay, Prolay Mallick +5
Identifying fine-grained book genres is essential for enhancing user experience through efficient discovery, personalized recommendations, and improved reader engagement. At the sa…
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution
Suraj Kumar, Soumi Chattopadhyay
In the realm of modern service-oriented architecture, ensuring Quality of Service (QoS) is of paramount importance. The ability to predict QoS values in advance empowers users to m…
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation
Hussam Al Daas, Grey Ballard, Laura Grigori +2
Multiple Tensor-Times-Matrix (Multi-TTM) is a key computation in algorithms for computing and operating with the Tucker tensor decomposition, which is frequently used in multidimen…
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels
Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy
With increasing complexity of hardwares, systems with different memory nodes are ubiquitous in High Performance Computing (HPC). It is paramount to develop strategies to overlap th…
Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay +2
Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately d…
Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets
Suraj Kumar, Aditya Rallapalli, Ashok Kumar Kakula +1
India achieved a significant milestone on August 2023, becoming the fourth country to accomplish a soft landing on the Moon. This paper presents the powered descen…
Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds
Hussam Al Daas, Grey Ballard, Laura Grigori +2
Communication lower bounds have long been established for matrix multiplication algorithms. However, most methods of asymptotic analysis have either ignored the constant factors or…
Decoupled Thrust-Axis Attitude Control Using Quaternions for Chandrayaan-3 Lunar Landing Mission
Aditya Rallapalli, Suraj Kumar, Rijesh M P +2
Chandrayaan-3 mission achieved a historic milestone with its successful soft landing near the lunar south pole, highlighting the critical role of the navigation, guidance, and cont…
Solving Infinite-Horizon Optimal Control Problems using the Extreme Theory of Functional Connections
Tanay Raghunandan Srinivasa, Suraj Kumar
This paper presents a physics-informed machine learning approach for synthesizing optimal feedback control policy for infinite-horizon optimal control problems by solving the Hamil…
Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2
Multimodal intent recognition requires understanding not only what textual, acoustic, and visual signals share, but also how they disagree. Such disagreement is frequently class-in…
Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Roopa Bukke, Soumya Pandey, Suraj Kumar +2
The rapid proliferation of online misinformation threatens the stability of digital social systems and poses significant risks to public trust, policy, and safety, necessitating re…