Performance of distributed estimation over multiple access fading channels with partial feedback. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2008)

Narrowband Direction of Arrival Estimation for Antenna Arrays - Jeffrey A. Foutz; Andreas Spanias; Mahesh K. Banavar (Morgan & Claypool Publishers, 2008)

Distributed detection over fading macs with multiple antennas at the fusion center. - Mahesh K. Banavar; Anthony D. Smith; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2010)

On Inequalities Relating the Characteristic Function and Fisher Information - Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2010)

Estimation over fading channels with limited feedback using distributed sensing. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Process., 2010)

Distributed Inference over Multiple-Access Channels with Wireless Sensor Networks. - Mahesh K. Banavar (2010)

OFDM Systems for Wireless Communications - Adarsh B. Narasimhamurthy; Mahesh K. Banavar; Cihan Tepedelenlioglu (Morgan & Claypool Publishers, 2010)

Work in progress - Interactive signal-processing labs and simulations on iOS devices. - Jinru Liu; Andreas Spanias; Mahesh K. Banavar; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Xue Zhang 002 (FIE, 2011)

Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (CoRR, 2011)

On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels. - Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Inf. Theory, 2011)

Distributed average consensus using bounded transmissions. - Sivaraman Dasarathan; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (ACSCC, 2012)

Sequential wireless sensor network discovery using wide aperture array signal processing. - Marc Willerton; Mahesh K. Banavar; Xue Zhang 002; Athanassios Manikas; Cihan Tepedelenlioglu; Andreas Spanias; Trevor Thornton; Eric M. Yeatman; Anthony G. Constantinides (EUSIPCO, 2012)

Work in progress: Performing signal analysis laboratories using Android devices. - Suhas Ranganath; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Mahesh K. Banavar; Andreas Spanias (FIE, 2012)

Interactive DSP laboratories on mobile phones and tablets. - Jinru Liu; Shuang Hu; Jayaraman J. Thiagarajan; Xue Zhang 002; Suhas Ranganath; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2012)

Distributed SNR Estimation With Power Constrained Signaling Over Gaussian Multiple-Access Channels. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Process., 2012)

On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs. - Mahesh K. Banavar; Anthony D. Smith; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Wirel. Commun., 2012)

Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization - Mahesh K. Banavar; Henry Braun; Santoshi T. Buddha; Venkatachalam Krishnan; Andreas Spanias; Shinichi Takada; Toru Takehara; Cihan Tepedelenlioglu; Ted Yeider (Morgan & Claypool Publishers, 2012)

Distributed location detection in wireless sensor networks. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ACSSC, 2013)

Max-consensus using the soft maximum. - Sai Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ACSSC, 2013)

Interactive tools for global sustainability and Earth systems: Sea level change and temperature. - Linda Hinnov; Karthikeyan Natesan Ramamurthy; Huan Song; Mahesh K. Banavar; Louis Spanias (FIE, 2013)

Health monitoring laboratories by interfacing physiological sensors to mobile android devices. - Deepta Rajan; Andreas Spanias; Suhas Ranganath; Mahesh K. Banavar; Photini Spanias (FIE, 2013)

Java tools for teaching OFDM principles in undergraduate courses. - Sai Zhang 002; Mahesh K. Banavar; Andreas Spanias; Cihan Tepedelenlioglu; Xue Zhang 002 (FIE, 2013)

CRLB for the localization error in the presence of fading. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2013)

Design of limiting amplifier models for nonlinear amplify-and-forward distributed estimation. - Robert W. Santucci; Mahesh K. Banavar; Andreas Spanias; Cihan Tepedelenlioglu (DSP, 2013)

Non-Linear Distributed Average Consensus Using Bounded Transmissions. - Sivaraman Dasarathan; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Signal Process., 2013)

An Introduction to Kalman Filtering with MATLAB Examples - Narayan Kovvali; Mahesh K. Banavar; Andreas Spanias (Morgan & Claypool Publishers, 2013)

Embedding Android signal processing apps in a high school math class - An RET project. - Mahesh K. Banavar; Deepta Rajan; Andrew Strom; Photini Spanias; Xue Sophia Zhang; Henry Braun; Andreas Spanias (FIE, 2014)

Signals and systems demonstrations for undergraduates using Android-based localization. - Paul Curtis; Mahesh K. Banavar; Xue Zhang 002; Andreas Spanias; Vitor Weber (FIE, 2014)

Android acoustic ranging. - Paul Curtis; Mahesh K. Banavar; Sai Zhang 002; Andreas Spanias; Vitor Weber (IISA, 2014)

Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier. - Robert W. Santucci; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Node counting in wireless sensor networks. - Sai Zhang 002; Cihan Tepedelenlioglu; Andreas Spanias; Mahesh K. Banavar (ACSSC, 2015)

A new signal processing course for digital culture. - Andreas Spanias; Paul Curtis; Photini Spanias; Mahesh K. Banavar (FIE, 2015)

Audio modeling and loudness estimation with IJDSP mobile simulations. - Girish Kalyanasundaram; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2015)

Nonlinear diffusion adaptation with bounded transmission over distributed networks. - Jongmin Lee 003; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ICC, 2015)

Undergraduate Signal Processing Laboratories for the Android Operating System. - Suhas Ranganath; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2015)

An overview of recent advances on distributed and agile sensing algorithms and implementation. - Mahesh K. Banavar; Jun Jason Zhang; Bhavana Chakraborty; Homin Kwon; Ying Li; Huaiguang Jiang; Andreas Spanias; Cihan Tepedelenlioglu; Chaitali Chakrabarti; Antonia Papandreou-Suppappola (Digit. Signal Process., 2015)

Robust Consensus in the Presence of Impulsive Channel Noise. - Sivaraman Dasarathan; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Signal Process., 2015)

Nonlinear Amplify-and-Forward Distributed Estimation Over Nonidentical Channels. - Robert W. Santucci; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Veh. Technol., 2015)

An Android app for spatial acoustic analysis as a learning tool. - Thomas H. DePue; Benjamin Robistow; Robert Newman; Kevin Mack; Mahesh K. Banavar; Tianqi Yang; Dana M. Barry; Paul Curtis; Andreas Spanias; Whitni Watkins (FIE, 2016)

Development of course modules for multidisciplinary STEM education. - Andreas Spanias; Mahesh K. Banavar; Henry Braun; Photini Spanias; Yongpeng Zhang (FIE, 2016)

Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise. - Sai Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2016)

Node Localization in Wireless Sensor Networks - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (Morgan & Claypool Publishers, 2016)

Signal processing and machine learning concepts using the reflections echolocation app. - Mahesh K. Banavar; Houchao Gan; Benjamin Robistow; Andreas Spanias (FIE, 2017)

Development of signal processing online labs using HTML5 and mobile platforms. - Abhinav Dixit; Sameeksha Katoch; Photini Spanias; Mahesh K. Banavar; Huan Song; Andreas Spanias (FIE, 2017)

Teaching ranging and localization using Bluetooth on Android devices. - Kevin Mack; Mahesh K. Banavar (FIE, 2017)

Reflections: An eModule for echolocation education. - Benjamin Robistow; Robert Newman; Thomas H. DePue; Mahesh K. Banavar; Dana M. Barry; Paul Curtis; Andreas Spanias (ICASSP, 2017)

A cyber-physical system approach for photovoltaic array monitoring and control. - Sunil Rao; Sameeksha Katoch; Pavan K. Turaga; Andreas Spanias; Cihan Tepedelenlioglu; Raja Ayyanar 001; Henry Braun; Jongmin Lee 003; Uday Shankar Shanthamallu; Mahesh K. Banavar; Devarajan Srinivasan (IISA, 2017)

A Cyber-Physical Photovoltaic Array Monitoring and Control System. - Gowtham Muniraju; Sunil Rao; Sameeksha Katoch; Andreas Spanias; Cihan Tepedelenlioglu; Pavan K. Turaga; Mahesh K. Banavar; Devarajan Srinivasan (Int. J. Monit. Surveillance Technol. Res., 2017)

Max Consensus in the Presence of Additive Noise. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias; Sai Zhang 002; Mahesh K. Banavar (ACSSC, 2018)

Online Machine Learning Experiments in HTML5. - Abhinav Dixit; Uday Shankar Shanthamallu; Andreas Spanias; Visar Berisha; Mahesh K. Banavar (FIE, 2018)

Mobile apps for Incorporating Science and Engineering Practices in K-12 STEM Labs. - Seema Rivera; Mahesh K. Banavar; Dana M. Barry (FIE, 2018)

Shading prediction, fault detection, and consensus estimation for solar array control. - Sameeksha Katoch; Gowtham Muniraju; Sunil Rao; Andreas Spanias; Pavan K. Turaga; Cihan Tepedelenlioglu; Mahesh K. Banavar; Devarajan Srinivasan (ICPS, 2018)

Distributed Network Structure Estimation Using Consensus Methods - Sai Zhang 002; Cihan Tepedelenlioglu; Andreas Spanias; Mahesh K. Banavar (Morgan & Claypool Publishers, 2018)

Modified Time Delay of Arrival for Biomedical and Environmental Applications. - Chinmay Sahu; Mahesh K. Banavar; Jie Sun 007 (ACSSC, 2019)

Fast and Accurate Continuous User Authentication by Fusion of Instance-based, Free-text Keystroke Dynamics. - Blaine Ayotte; Mahesh K. Banavar; Daqing Hou; Stephanie Schuckers (BIOSIG, 2019)

Fast Continuous User Authentication Using Distance Metric Fusion of Free-Text Keystroke Data. - Blaine Ayotte; Jiaju Huang; Mahesh K. Banavar; Daqing Hou; Stephanie Schuckers (CVPR Workshops, 2019)

Introducing machine learning concepts using hands-on Android-based exercises. - Blaine Ayotte; Justin Au-Yeung; Mahesh K. Banavar; Dana M. Barry; Gowtham Muniraju; Sunil Rao; Andreas Spanias; Cihan Tepedelenlioglu (FIE, 2019)

STEM activities for exploring Mars using innovative e-learning. - Dana M. Barry; Hideyuki Kanematsu; Nobuyuki Ogawa; Katsuko T. Nakahira; Mahesh K. Banavar; Seema Rivera (KES, 2019)

Location estimation and detection in wireless sensor networks in the presence of fading. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias; Gowtham Muniraju (Phys. Commun., 2019)

A novel distance-based algorithm for multi-user classification in keystroke dynamics. - Chinmay Sahu; Mahesh K. Banavar; Stephanie Schuckers (ACSSC, 2020)

Fast Free-Text Authentication via Instance-Based Keystroke Dynamics. - Blaine Ayotte; Mahesh K. Banavar; Daqing Hou; Stephanie Schuckers (IEEE Trans. Biom. Behav. Identity Sci., 2020)

A nonlinear feature transformation-based multi-user classification algorithm for keystroke dynamics. - Chinmay Sahu; Mahesh K. Banavar (ACSCC, 2021)

Authenticating Facebook Users Based on Widget Interaction Behavior. - Simon Khan; Cooper Fraser; Daqing Hou; Mahesh K. Banavar; Stephanie Schuckers (CCNC, 2021)

Group Leakage Overestimates Performance: A Case Study in Keystroke Dynamics. - Blaine Ayotte; Mahesh K. Banavar; Daqing Hou; Stephanie Schuckers (CVPR Workshops, 2021)

Integrating machine learning concepts into undergraduate classes. - Chinmay Sahu; Blaine Ayotte; Mahesh K. Banavar (FIE, 2021)

Study of Intra- and Inter-user Variance in Password Keystroke Dynamics. - Blaine Ayotte; Mahesh K. Banavar; Daqing Hou; Stephanie Schuckers (ICISSP, 2021)

SREDS: A dichromatic separation based measure of skin color. - Keivan Bahmani; Richard Plesh; Chinmay Sahu; Mahesh K. Banavar; Stephanie Schuckers (IWBF, 2021)

Ordinal UNLOC: Target Localization With Noisy and Incomplete Distance Measures. - Mahesh K. Banavar; Shandeepa Wickramasinghe; Monalisa Achalla; Jie Sun 007 (IEEE Internet Things J., 2021)

Shared Multi-Keyboard and Bilingual Datasets to Support Keystroke Dynamics Research. - Ahmed Anu Wahab; Daqing Hou; Mahesh K. Banavar; Stephanie Schuckers; Kenneth Eaton; Jacob Baldwin; Robert Wright (CODASPY, 2022)

Distributed Consensus based COVID-19 Hotspot Density Estimation. - Monalisa Achalla; Gowtham Muniraju; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias; Stephanie Schuckers (IISA, 2022)

How fragile is your network? More than you think. - Jeremie Fish; Mahesh Banavar; Erik M. Bollt (CoRR, 2022)

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. - Prasanna Sattigeri; Jayaraman J. Thiagarajan; Karthikeyan Ramamurthy; Andreas Spanias; Mahesh K. Banavar; Abhinav Dixit; Jie Fan; Mohit Malu; Kristen Jaskie; Sunil Rao; Uday Shankar Shanthamallu; Vivek Sivaraman Narayanaswamy; et al. (Int. J. Virtual Pers. Learn. Environ., 2022)

Analysis of a Modified SEIRS Compartmental Model for COVID-19. - Lavanya Shri S. A.; Bhavikumar Patel; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias; Stephanie Schuckers (ACSSC, 2023)

Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS). - Joseph Drahos; Richard Plesh; Keivan Bahmani; Mahesh Banavar; Stephanie Schuckers (BIOSIG, 2023)

Being Brave in a New World: Leveraging ChatGPT in Signal Processing Classes. - Mahesh K. Banavar; Lavanya Shri; Nicholas Sparks; Alexander Cohen (FIE, 2023)

Data-Driven Nonlinear TDOA for Accurate Source Localization in Complex Signal Dynamics. - Chinmay Sahu; Mahesh Banavar; Jie Sun 007 (CoRR, 2023)

A Novel Non-Linear Transformation Based Multi User Identification Algorithm for Fixed Text Keystroke Behavioral Dynamics. - Chinmay Sahu; Mahesh Banavar; Stephanie Schuckers (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Temporal Analysis of Infectious Diseases. - Lavanya Shri S. A.; Mahesh K. Banavar (IEEECONF, 2024)

Comparison of Explainability Approaches for Reinforcement Learning for Autonomous Flight Maneuvers. - Swati Kar; Mahesh K. Banavar; Soumyabrata Dey; Allan Salihovic; Simon Khan; Jason R. Bryant (IEEECONF, 2024)

User Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-Contact Fingerprint Captures. - Olaoluwayimika Olugbenle; Logan Drake; Naveenkumar G. Venkataswamy; Arfina Rahman; Yemi Afolayanka; Masudul Haider Imtiaz; Mahesh K. Banavar (IEEECONF, 2024)

WIP: A Photoplethysmography Graphical User Interface for Teaching Signal Processing Concepts. - Mahesh Banavar; Olaoluwayimika Olugbenle; Logan Drake; Yemi Afolayanka; Arfina Rahman; Jianhua Zhang; Masudul Haider Imtiaz (FIE, 2024)

WIP: Comparison of Large Language Models for Applied Mathematics Questions in Engineering Courses. - Carlos Merlos; Faraz Hussain 001; Swati Kar; Lavanya Shri; Olaoluwayimika Olugbenle; Mahesh Banavar; Abd AlRahman AlMomani (FIE, 2024)

Discovering Interpretable Feature Directions in the Embedding Space of Face Recognition Models. - Richard Plesh; Janez Krizaj; Keivan Bahmani; Mahesh Banavar; Vitomir Struc; Stephanie Schuckers (IJCB, 2024)

Deep Face Decoder: Towards understanding the embedding space of convolutional networks through visual reconstruction of deep face templates. - Janez Krizaj; Richard Plesh; Mahesh Banavar; Stephanie Schuckers; Vitomir Struc (Eng. Appl. Artif. Intell., 2024)

Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI. - Swati Kar; Soumyabrata Dey; Mahesh K. Banavar; Shahnewaz Karim Sakib (CoRR, 2025)

Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction. - Dharambir Mahto; Prashant Yadav; Mahesh Banavar; Jim Keany; Alan T. Joseph; Srinivas Kilambi (CoRR, 2025)