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Journal Articles: Recent submissions

  • Evaluating pre-trained large language models on zero shot prompts for parallelization of source code 
    Yadav, Devansh; Mondal, Shouvick (Elsevier, 2025-12)
    Large Language Models (LLMs) have become prominent in the software development life cycle, yet the generation of performant source code, particularly through automatic parallelization, remains underexplored. This study ...
  • Coordinating monetary contributions in participatory budgeting 
    Aziz, Haris; Gujar, Sujit; Padala, Manisha; Suzuki, Mashbat; Vollen, Jeremy (Springer, 2025-12)
    We formalize a framework for coordinating funding and selecting projects, the costs of which are shared among agents with quasi-linear utility functions and individual budgets. Our model contains the discrete participatory ...
  • Constraining the 3HDM parameter space using active learning 
    Batra, Nipun; Coleppa, Baradhwaj; Khanna, Akshat; Rai, Santosh Kumar; Sarkar, Agnivo (American Physical Society, 2025-07)
    One of the standard ways to study scenarios beyond the Standard Model involves extending the Higgs sector. This work examines the three Higgs doublet model (3HDM) in a type-Z or democratic setup, where each Higgs doublet ...
  • The cost and complexity of minimizing envy in house allocation 
    Madathil, Jayakrishnan; Misra, Neeldhara; Sethia, Aditi (Springer, 2025-12)
    We study almost envy-freeness in house allocation, where m houses are to be allocated among n agents so that every agent receives exactly one house. An envy-free allocation need not exist, and therefore we may have to ...
  • Stingray 2: a fast and modern Python library for spectral timing 
    Bachetti, Matteo; Huppenkothen, Daniela; Stevens, Abigail; Swinbank, John; Mastroserio, Guglielmo; Lucchini, Matteo; Lai, Veronica Eleonora; Buchner, Johannes; Desai, Amogh; Joshi, Gaurav; Pisanu, Francesco; Pisupati, Sri Guru Datta; Sharma, Swapnil; Tripathi, Mihir; Vats, Dhruv (Open Journals, 2024-10)
    Stingray is an Astropy-affiliated (Astropy Collaboration et al., 2013, 2022) Python package that brings advanced timing techniques to the wider astronomical community, with a focus on high-energy astrophysics, but built ...
  • D-STACK: high throughput DNN inference by effective multiplexing and spatio-temporal scheduling of GPUs 
    Dhakal, Aditya; Kulkarni, Sameer G.; Ramakrishnan, K. K. (Institute of Electrical and Electronics Engineers (IEEE), 2024-10)
    Hardware accelerators such as GPUs are required for real-time, low latency inference with Deep Neural Networks (DNN). Providing inference services in the cloud can be resource intensive, and effectively utilizing accelerators ...
  • Romeo and Juliet meeting in forest like regions 
    Misra, Neeldhara; Mulpuri, Manas; Tale, Prafullkumar; Viramgami, Gaurav (Springer, 2024-09)
    The game of rendezvous with adversaries is a game on a graph played by two players: Facilitator and Divider. Facilitator has two agents and Divider has a team of k ≥ 1 agents. While the initial positions of Facilitator’s ...
  • Diverse fair allocations: complexity and algorithms 
    Mittal, Harshil; Nanoti, Saraswati Girish; Sethia, Aditi (Elsevier, 2024-12)
    In this work, we initiate the study of diversity of solutions in the context of fair division of indivisible goods. In particular, we explore the notions of disjoint, distinct and symmetric allocations and study their ...
  • Chess is hard even for a single player 
    Aravind, N. R.; Misra, Neeldhara; Mittal, Harshil (Elsevier, 2024-11)
    We introduce a generalization of “Solo Chess”, a single-player variant of the game that can be played on chess.com. The standard version of the game is played on a regular 8 × 8 chessboard by a single player, with only ...
  • Parameterized aspects of distinct kemeny rank aggregation 
    De, Koustav; Mittal, Harshil; Dey, Palash; Misra, Neeldhara (Springer, 2024-08)
    The Kemeny method is one of the popular tools for rank aggregation. However, computing an optimal Kemeny ranking is \textsf{NP}-hard. Consequently, the computational task of finding a Kemeny ranking has been studied under ...
  • FF-RRT*: a sampling-based planner for multi-robot global formation path planning 
    Borate, Suraj S.; Rana, Rwik; Venkatesh, Praveen; Vadali, Madhu (American Society of Mechanical Engineers, 2024-10)
    This paper presents a collision-free global path planning approach for multi-robot systems called flexible formation - rapidly exploring randomized trees* (FF-RRT*). The algorithm is based on RRT* and provides a flexible ...
  • MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification 
    Agarwal, Saurabh; Arya, K. V.; Meena, Yogesh Kumar (Springer, 2024-07)
    Chest X-ray imaging is a critical diagnostic tool for identifying pulmonary diseases. However, manual interpretation of these images is time-consuming and error-prone. Automated systems utilizing convolutional neural ...
  • CNN-O-ELMNet: optimized lightweight and generalized model for lung disease classification and severity assessment 
    Agarwal, Saurabh; Arya, K. V.; Meena, Yogesh Kumar (Institute of Electrical and Electronics Engineers (IEEE), 2024-12)
    The high burden of lung diseases on healthcare necessitates effective detection methods. Current Computer-aided design (CAD) systems are limited by their focus on specific diseases and computationally demanding deep learning ...
  • VulNet: towards improving vulnerability management in the Maven ecosystem 
    Ma, Zeyang; Mondal, Shouvick; Chen, Tse-Hsun (Peter); Zhang, Haoxiang; Hassan, Ahmed E. (Springer, 2024-07)
    Developers rely on software ecosystems such as Maven to manage and reuse external libraries (i.e., dependencies). Due to the complexity of the used dependencies, developers may face challenges in choosing which library to ...
  • An empirical study on the characteristics of database access bugs in Java applications 
    Liu, Wei; Mondal, Shouvick; Chen, Tse Hsun (Association for Computing Machinery (ACM), 2024-09)
    Database-backed applications rely on the database access code to interact with the underlying database management systems (DBMSs). Although many prior studies aim at database access issues like SQL anti-patterns or SQL ...
  • Linear space data structures for finite groups with constant query-time 
    Das, Bireswar; Kumar, Anant; Sharma, Shivdutt; Thakkar, Dhara (Springer, 2024-03)
  • JoulesEye: energy expenditure estimation and respiration sensing from thermal imagery while exercising 
    Adhikary, Rishiraj; Sadeh, Maite; Batra, Nipun; Goel, Mayank (Association for Computing Machinery (ACM), 2023-12)
    Smartphones and smartwatches have contributed significantly to fitness monitoring by providing real-time statistics, thanks to accurate tracking of physiological indices such as heart rate. However, the estimation of ...
  • The minimum generating set problem 
    Lucchini, Andrea; Thakkar, Dhara (Elsevier, 2024-02)
    Let G be a finite group. In order to determine the smallest cardinality d(G) of a generating set of G and a generating set with this cardinality, one should repeat ‘many times’ the test whether a subset of G of ‘small’ ...
  • eNCache: improving content delivery with cooperative caching in named data networking 
    Chaudhary, Pankaj; Hubballi, Neminath; Kulkarni, Sameer G. (Elsevier, 2023-12)
    Content centric networks offer better response time and resilience to failures by caching the content in the network routers. Owing to the limited capacity of caches and the quest for maximizing the utilization of available ...
  • Modeling interdisciplinary interactions among Physics, Mathematics and Computer Science 
    Hazra, Rima; Singh, Mayank; Goyal, Pawan; Adhikari, Bibhas; Mukherjee, Animesh (IOP Publishing, 2023-12)
    Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research. In this paper we attempt to model the citation flow across three different ...

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