Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks. - Arnab Chakrabarti; Ashutosh Sabharwal; Behnaam Aazhang (IPSN, 2003)

Multi-hop communication is order-optimal for homogeneous sensor networks. - Arnab Chakrabarti; Ashutosh Sabharwal; Behnaam Aazhang (IPSN, 2004)

Half-Duplex Estimate-and-Forward Relaying: Bounds and Code Design. - Arnab Chakrabarti; Alexandre de Baynast; Ashutosh Sabharwal; Behnaam Aazhang (ISIT, 2006)

Communication power optimization in a sensor network with a path-constrained mobile observer. - Arnab Chakrabarti; Ashutosh Sabharwal; Behnaam Aazhang (ACM Trans. Sens. Networks, 2006)

Low density parity check codes for the relay channel. - Arnab Chakrabarti; Alexandre de Baynast; Ashutosh Sabharwal; Behnaam Aazhang (IEEE J. Sel. Areas Commun., 2007)

Code designs for cooperative communication. - Arnab Chakrabarti; Elza Erkip; Ashutosh Sabharwal; Behnaam Aazhang (IEEE Signal Process. Mag., 2007)

Repeaters and Remote Radioheads in EVDO Networks. - Arnab Chakrabarti; Christopher Lott; Donna Ghosh; Rashid Attar (VTC Fall, 2010)

Practical Quantizer Design for Half-Duplex Estimate-and-Forward Relaying. - Arnab Chakrabarti; Ashutosh Sabharwal; Behnaam Aazhang (IEEE Trans. Commun., 2011)

Business Process Modelling for a Data Exchange Platform. - Christoph Quix; Arnab Chakrabarti; Sebastian Kleff; Jaroslav Pullmann (CAiSE-Forum-DC, 2017)

Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study. - Arnab Chakrabarti; Manasi Jayapal (DATA, 2017)

Goal-Oriented Modelling of Relations and Dependencies in Data Marketplaces. - Arnab Chakrabarti; Christoph Quix; Sandra Geisler; Jaroslav Pullmann; Artur Khromov; Matthias Jarke (iSTAR@CAiSE, 2018)

Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. - Arnab Chakrabarti; Abhijeet Das; Michael Cochez; Christoph Quix (ADBIS, 2021)

Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes. - Arnab Chakrabarti; Ravi Prasanna Sukumar; Matthias Jarke; Maximilian Rudack; Paul Buske; Carlo Holly (DSAA, 2021)

Towards a Rule-based Visualization Recommendation System. - Arnab Chakrabarti; Farhad Ahmad; Christoph Quix (KDIR, 2021)

Sparsistent filtering of comovement networks from high-dimensional data. - Arnab Chakrabarti; Anindya S. Chakrabarti (CoRR, 2021)

Optimal Codeword Construction for DNA-based Finite Automata. - Anupam Chattopadhyay; Arnab Chakrabarti (CoRR, 2022)

Sparsistent filtering of comovement networks from high-dimensional data. - Arnab Chakrabarti; Anindya S. Chakrabarti (J. Comput. Sci., 2022)

Sensorless Monitoring of Shipping Containers. - Misaki Mito; Chi Heem Wong; Arnab Chakrabarti (IEEE Big Data, 2023)

Monitoring Large Scale Production Processes Using a Rule-Based Visualization Recommendation System. - Arnab Chakrabarti; Farhad Ahmad; Matthias Jarke; Christoph Quix (SN Comput. Sci., 2023)

Exploratory pipeline for analysis and visualization of large information spaces. - Arnab Chakrabarti (2023)

The origin of return correlation networks. - Anirban Banerjee; Arnab Chakrabarti; Anindya S. Chakrabarti (J. Complex Networks, 2024)