activity
20192026
most citedOnline Scheduling with Makespan Minimization: State of the Art Results, Research Challenges and Open Problems

4 citations · 5 across the 12 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Smart Profit-Aware Crop Advisory System: Kisan AI

Debasis Dwibedy, Avyay Nishtala, Pranathi Mukku +1

Modern crop advisory systems exhibit a critical limitation termed \textit{economic blindness}. These systems primarily optimize for biological yield, often overlooking market price…

cs.LG2025

MSGAT-GRU: A Multi-Scale Graph Attention and Recurrent Model for Spatiotemporal Road Accident Prediction

Thrinadh Pinjala, Aswin Ram Kumar Gannina, Debasis Dwibedy

Accurate prediction of road accidents remains challenging due to intertwined spatial, temporal, and contextual factors in urban traffic. We propose MSGAT-GRU, a multi-scale graph a…

cs.LG2025

A Data-Driven Probabilistic Framework for Cascading Urban Risk Analysis Using Bayesian Networks

Chunduru Rohith Kumar, PHD Surya Shanmuk, Prabhala Naga Srinivas +2

The increasing complexity of cascading risks in urban systems necessitates robust, data-driven frameworks to model interdependencies across multiple domains. This study presents a…

cs.DS2023

Semi-online Scheduling with Lookahead

Debasis Dwibedy, Rakesh Mohanty

The knowledge of future partial information in the form of a lookahead to design efficient online algorithms is a theoretically-efficient and realistic approach to solving computat…

cs.DS2022

A Note on Hardness of Multiprocessor Scheduling with Scheduling Solution Space Tree

Debasis Dwibedy, Rakesh Mohanty

We study the computational complexity of the non-preemptive scheduling problem of a list of independent jobs on a set of identical parallel processors with a makespan minimization…

cs.DS2021

New Competitive Semi-online Scheduling Algorithms for Small Number of Identical Machines

Debasis Dwibedy, Rakesh Mohanty

Design and analysis of constant competitive deterministic semi-online algorithms for the multi-processor scheduling problem with small number of identical machines have gained sign…