Cheap approximate localization using FM radio. - Piyush Kumar; Tathagata Mukherjee; Eduardo L. Pasiliao Jr.; Liqin Xu (SIGSPATIAL/GIS, 2015)

TruthCore: Non-parametric estimation of truth from a collection of authoritative sources. - Tathagata Mukherjee; Biswas Parajuli; Piyush Kumar; Eduardo L. Pasiliao Jr. (IEEE BigData, 2016)

RSSI-Based Supervised Learning for Uncooperative Direction-Finding. - Tathagata Mukherjee; Michael Duckett; Piyush Kumar; Jared Devin Paquet; Daniel Rodríguez; Mallory Haulcomb; Kevin George; Eduardo L. Pasiliao Jr. (ECML/PKDD (3), 2017)

The Minimum Edge Compact Spanner Network Design Problem. - Tathagata Mukherjee; Alexander Veremyev; Piyush Kumar; Eduardo L. Pasiliao Jr. (CoRR, 2017)

Fusion of aerial lidar and images for road segmentation with deep CNN. - Biswas Parajuli; Piyush Kumar; Tathagata Mukherjee; Eduardo L. Pasiliao; Sachin Jambawalikar (SIGSPATIAL/GIS, 2018)

Fuzzy QFD for Decision Support Model in Evaluating Basic Cause of Children Falling Into Blue Whale Game. - Richa Pandey; Tathagata Mukherjee (ICALT, 2018)

A Distributed Sensing Approach for Single Platform Image-Based Localization. - Orhan Akal; Tathagata Mukherjee; Adrian Barbu; Jared Devin Paquet; Kevin George; Eduardo L. Pasiliao (ICMLA, 2018)

Adaptive Video Encoding and Dynamic Channel Access for Real-time Streaming over SDRs. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo L. Pasiliao (IPCCC, 2018)

An Empirical Study on Generalizations of the ReLU Activation Function. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao Jr. (ACM Southeast Regional Conference, 2019)

RF-MSiP: Radio Frequency Multi-source Indoor Positioning. - Vishal Perekadan; Tathagata Mukherjee; Chaity Banerjee; Eduardo Pasiliao (IEEE BigData, 2019)

Primary User Activity Prediction in DSA Networks using Recurrent Structures. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo Pasiliao (DySPAN, 2019)

Defense against PUE Attacks in DSA Networks Using GAN Based Learning. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo Pasiliao (GLOBECOM, 2019)

RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo Pasiliao (ICMLA, 2019)

A Targeted Data Extraction System for Mobile Devices. - Sudhir Aggarwal; Gokila Dorai; Umit Karabiyik; Tathagata Mukherjee; Nicholas Guerra; Manuel Hernandez; James Parsons; Khushboo Rathi; Hongmei Chi; Temilola Aderibigbe; Rodney Wilson (IFIP Int. Conf. Digital Forensics, 2019)

Detection of Rogue RF Transmitters using Generative Adversarial Nets. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo Pasiliao (WCNC, 2019)

LoSI: Large scale location inference through FM signal integration and estimation. - Tathagata Mukherjee; Piyush Kumar; Debdeep Pati; Erik Blasch; Eduardo Pasiliao; Liqin Xu (Big Data Min. Anal., 2019)

Machine Learning in Adversarial RF Environments. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee (IEEE Commun. Mag., 2019)

The Multi-phase ReLU Activation Function. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (ACM Southeast Regional Conference, 2020)

An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation. - Sudhir Aggarwal; Shiva Houshmand; Tathagata Mukherjee; James Parsons (IEEE BigData, 2020)

FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data. - Nikita Susan Joseph; Chaity Banerjee; Eduardo Pasiliao; Tathagata Mukherjee (IEEE BigData, 2020)

Uncooperative RF Direction Finding with I/Q Data. - Vaidyanath Areyur Shanthakumar; Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (ICISDM, 2020)

Feature representations using the reflected rectified linear unit (RReLU) activation. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (Big Data Min. Anal., 2020)

Adaptive streaming of HD and 360° videos over software defined radios. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Eduardo Pasiliao (Pervasive Mob. Comput., 2020)

RFAL: Adversarial Learning for RF Transmitter Identification and Classification. - Debashri Roy; Tathagata Mukherjee; Mainak Chatterjee; Erik Blasch; Eduardo Pasiliao (IEEE Trans. Cogn. Commun. Netw., 2020)

Item based recommendation using matrix-factorization-like embeddings from deep networks. - Vaidyanath Areyur Shanthakumar; Clark Barnett; Keith Warnick; Putu Ayu Sudyanti; Vitalii Gerbuz; Tathagata Mukherjee (ACM Southeast Conference, 2021)

DeePOE: Deep Learning for Position and Orientation Estimation. - Alec Riden; Debashri Roy; Eduardo Pasiliao; Tathagata Mukherjee (APCC, 2021)

An Application of Generative Adversarial Networks for Robust Inference in Computational Fluid Dynamics. - Chaity Banerjee; Chad Lilian; Daniel Reasor; Eduardo Pasiliao; Tathagata Mukherjee (ICISDM, 2021)

Internet of Things Software and Hardware Architectures and Their Impacts on Forensic Investigations: Current Approaches and Challenges. - Abel Alex Boozer; Arun John; Tathagata Mukherjee (J. Digit. Forensics Secur. Law, 2021)

GANSAT: A GAN and SATellite Constellation Fingerprint-Based Framework for GPS Spoof-Detection and Location Estimation in GPS Deprived Environment. - Debashri Roy; Tathagata Mukherjee; Alec Riden; Jared Devin Paquet; Eduardo Pasiliao; Erik Blasch (IEEE Access, 2022)

Deep Feature Learning for Intrinsic Signature Based Camera Discrimination. - Chaity Banerjee; Tharun Kumar Doppalapudi; Eduardo Pasiliao; Tathagata Mukherjee (Big Data Min. Anal., 2022)

Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data. - Ashit Gupta; Anirudh Deodhar; Tathagata Mukherjee; Venkataramana Runkana (CoRR, 2022)

Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study. - Suresh Marru; Brian Freitag; Dimuthu Wannipurage; Uday Kumar Bommala; Patrick Pradier; Christophe Demange; Nishan Pantha; Tathagata Mukherjee; Betlem Rosich; Eric Monjoux; Rahul Ramachandran (CLOUD, 2023)

MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN. - Vishal Perekadan; Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao; Hovannes Kulhandjian; Michel Kulhandjian (FLAIRS, 2023)

Supporting and Motivating Re-integration of Justice-Involved Individuals Through Dynamic Gamification. - Nicholas Diliberti; Haeyong Chung; Yansi Keim; Marc Rogers; Umit Karabiyik; Sudhir Aggarwal; Tathagata Mukherjee; Carrie Pettus (HCI (4), 2023)

AI-based RF-Fingerprinting Framework and Implementation using Software-Defined Radios. - Hovannes Kulhandjian; Elizabeth Batz; Eduardo Garcia; Selena Vega; Sanjana Velma; Michel Kulhandjian; Claude D'Amours; Burak Kantarci; Tathagata Mukherjee (ICNC, 2023)

Temporal information retrieval using bitwise operators. - Prasanna Koirala; Ramazan Savas Aygün; Tathagata Mukherjee; Haeyong Chung (Inf. Retr. J., 2023)

Gradient Upsampling for Enhanced Image Resolution and Classification. - Alexander Semenov; Chaity Banerjee Mukherjee; Vladimir Boginski; Eduardo L. Pasiliao; Tathagata Mukherjee (CSoNet, 2024)

Demo: SensiTrain: A Crowd Supported Platform to Understand Context and Improve Sensitivity in Online Communication. - Pushwitha Krishnappa; Tahmid Ahmed; Otabek Abduraufov; Tathagata Mukherjee; Xiaoti Fan; Sriram Chellappan (COMPASS, 2024)