Publications

W. Blair, A. Amanna, T. Reichert, M. Gudaitis, “Evaluating GPP Predictors for Software Based Waveform Performance”, Proceedings of the 13th GNU Radio Conference, 2023.

A. Jagannath, J. Jagannath, “Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth”, IEEE Transactions on Cognitive Communications and Networking, 2023.

S. Kafle, J. Jagannath, Z. Kane, N. Biswas, P. S. V. Kumar, A. Jagannath, “Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation,” in IEEE Communications Letters, 2023.

K. Ramezanpour, J. Jagannath, A. Jagannath, “Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective”, Computer Networks (Elsevier), vol. 221, 109515, ISSN 1389-1286, 2023.

C. Farquhar, S. Kafle, K. Hamedani, A. Jagannath, J. Jagannath, “Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks”, Computer Networks (Elsevier), vol. 222, 109489, ISSN 1389-1286, 2023.

A. Jagannath, J. Jagannath, P. Sagar Pattanshetty Vasanth Kumar, “A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges”, Computer Networks (Elsevier), vol. 219, 109455, ISSN 1389-1286, 2022.

K. Ramezanpour, J. Jagannath, “Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN”, Computer Networks (Elsevier), vol. 217, 109358, ISSN 1389-1286, 2022.

A. Jagannath, Z. Kane, J. Jagannath, “RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth”, Proc. of IEEE Global Communications Conference (GLOBECOM), 2022.

A. Jagannath, J. Jagannath, “Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression”, Physical Communications (Elsevier), 101793, ISSN 1874-4907, 2022.

J. Jagannath, K. Hamedani, C. Farquhar, K. Ramezanpour, A. Jagannath, “MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio”, in Proc. of ACM Workshop on Wireless Security and Machine Learning (WiseML), San Antonio, Texas, USA May, 2022. [Best Paper Award]

J. Jagannath, K. Ramezanpour, A. Jagannath, “Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control”, in Proc. of ACM Workshop on Wireless Security and Machine Learning (WiseML), San Antonio, Texas, USA May, 2022.

A. Jagannath, J. Jagannath, Y. Wang, T. Melodia, “Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks” in Proc. of SPIE Defense and Commercial Sensing, Orlando, Florida, USA, May, 2022.

C. Farquhar, PSPV Kumar, A. Jagannath, J. Jagannath, “Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning” in Proc. of SPIE Defense and Commercial Sensing, Orlando, Florida, USA, May, 2022.

N. Polosky, T. Gwin, S. Furman, P. Barhanpurkar, J. Jagannath, “Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU”, in Proc.  IEEE International Workshop on Communication and Networking for Swarms Robotics, 2022.

J. Jagannath, A. Jagannath, J. Henney, T. Gwin, Z. Kane, N. Biswas, A. Drozd, “Design of Fieldable Cross-Layer Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials”, Computer Networks (Elsevier), vol. 209, 108917, ISSN 1389-1286, 2022.

J. Jagannath, A. Jagannath, J. Henney, N. Biswas, T. Gwin, Z. Kane, A. Drozd, “Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here!“, in Proc. of IEEE Conference on Military Communications (MILCOM), San Diego, CA, USA, Nov 2021.

T. Woods, S. Furman, C. Maracchion, A. Drozd, F. Frantz, J. Ashdown, “All-domain Spectrum Command and Control via Hierarchical Dynamic Spectrum Sharing with Implemented Dynamic Spectrum Access Toolchain,” in Proc. Of IEEE Conf. on Military Communications (MILCOM), San Diego, CA, USA, November 2021

J. Jagannath, A. Jagannath, S. Furman, T. Gwin, “Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment” in Deep Learning for Unmanned Systems. Studies in Computational Intelligence, Koubaa A., Azar A.T. (eds), vol 984. Springer, Cham., 2021

A. Jagannath, J.Jagannath, “Dataset for Modulation Classification and Signal Type Classification for Multi-task and Single Task Learning“, Computer Networks (Elsevier), 2021.

A. Jagannath, J.Jagannath, T. Melodia, ‘‘Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding“, IEEE Transactions on Artificial Intelligence, 2021.

A. Jagannath, J. Jagannath. “Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification“, in Proc. of IEEE International Conference on Communications (ICC), Montreal, Canada, June 2021.

K. Hamedani, L. Liu, J. Jagannath, Y. Yi, “Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning”, in Proc. of ACM Workshop on Wireless Security and Machine Learning (WiseML), Abu Dhabi, UAE, July 2021.

J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia, “Neural Networks for Signal Intelligence: Theory and Practice,” In Machine Learning for Future Wireless Communications, F.‐L. Luo (Ed.). Wiley – IEEE Series, 2020, ISBN: 97811195622523.

Jagannath, J. Jagannath, “Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers” in Proc. of 14th International Conference on Signal Processing and Communication Systems (ICSPCS), Adelaide, Australia, Dec 2020.

A. Jagannath, J. Jagannath, A. Drozd, “High rate-reliability beamformer design for MIMO-OFDM system under hostile jamming,” in Proc. of 29th International Conference on Computer, Communication, and Networks (ICCCN), Honolulu, HI, USA, Aug 2020.

A. Jagannath, J. Jagannath, and A. Drozd, “Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, December 2019.

J. Jagannath, T. Melodia, “VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network,” in Proc. of IEEE Symp. on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM), Washington D.C., USA, June 2019.

A. Jagannath, J. Jagannath, A. Drozd, “Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission,” in Proc. of IEEE Cognitive Communication for Aerospace Applications (CCAA) Workshop, June 2019.

J. Jagannath, S. Furman, A. Jagannath, L. Ling, A. Burger, and A. Drozd, “HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks,” Ad Hoc Networks (Elsevier) , vol. 89, pp 218-235, June 2019.

J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia, “Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey,” Ad Hoc Networks (Elsevier) vol. 93, pp 101913, June 2019.

J. Jagannath, S. Furman, A. Jagannath, A. Drozd, “Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks”, in Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2019.

A. Jagannath, J. Jagannath, B. Sheaffer, A. Drozd, “Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders”, in Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2019.

J. Jagannath, S. Furman, T. Melodia, Andrew Drozd, “Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm”, IEEE Transactions on Mobile Computing, 2018.

N. Cen, J. Jagannath, Simone Moretti, Z. Guan, T. Melodia, “LANET: Visible-Light Ad Hoc Network,” Ad Hoc Networks (Elsevier), in press, 2018.

J. Jagannath, T. Melodia, “An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks” in Proc. of International Conference on Computing, Networking and Communications (ICNC), Maui, Hawaii, USA, March 2018.

J. Jagannath, N. Polosky, D. O’Connor, L. Theagarajan, B. Sheaffer, S. Foulke, P. Varshney, “Artificial Neural Network based Automatic Modulation Classifier for Software Defined Radios,” IEEE International Conference on Communications (ICC), Kansas City, MO, May 2018.

A. Amanna, J. Bohl, Z. Goldsmith, M. Gudaitis, B. Kraines, R. DiMeo, W. Lipe, R. Butler, “Software Defined Radio Implementation of a DVB-S Transceiver,” WInnComm, November 2017.

J. Jagannath, D. O’Connor, N. Polosky, B. Sheaffer, L. N. Theagarajan, S. Foulke, P. K. Varshney, “Design and Evaluation of Hierarchical Hybrid Automatic Modulation Classifier using Software Defined Radios,” in Proc. of IEEE Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, January 2017.

N. Polosky, J. Jagannath, D. O’Connor, H. Saarinen, S. Foulke, “Artificial Neural Network with Electroencephalogram Sensors for Brainwave Interpretation: Brain-Observer-Indicator Development Challenges,” 13th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT), Stony Brook, NY, November 2017.

A. Amanna, J. Bohl, M. Gudaitis and T. Weaver, “Rapid Waveform Development Using STD-CDL as a Case Study,” IEEE MILCOM, 2016.

J. Jagannath, T. Melodia, A. Drozd, “DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-hoc Networks” in Proc. of IEEE Global Communications Conference (GLOBECOM), Washington D.C., USA, December 2016.

J. Jagannath, H. Saarinen, T. Woods, J. O’Brien, S. Furman, A. Drozd, T. Melodia, “COmBAT: Cross-layer Based Testbed with Analysis Tool Implemented Using Software Defined Radios,”in Proc. of IEEE Conf. on Military Communications (MILCOM), Baltimore, MD, USA, November 2016.

W. Thakshila, J. Jagannath, P. K. Varshney, A. L. Drozd, W. Su, “Distributed Asynchronous Modulation Classification Based on Hybrid Maximum Likelihood Approach”, in Proc. of IEEE Conf. on Military Communications (MILCOM), Tampa, FL, USA, Oct 2015.

J. Jagannath, H. M. Saarinen, A. L. Drozd, “Framework for Automatic Signal Classification Techniques (FACT) for Software Defined Radios,” in IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA) , Verona, New York, May 2015.

S. Foulke, J. Jagannath, A. L. Drozd, W. Thakshila, P. K. Varshney, W. Su, “Multisensor Modulation Classification (MMC), “ in Proc. of IEEE Conf. on Military Communications (MILCOM), Baltimore, MD, USA, October 2014.

L. Drozd, T. Arcuri, J. Jagannath, D. A. Pados, T. Melodia, E. Demirors, G. Sklivanitis “Network Throughput Improvement in Cognitive Networks by Joint Optimization of Spectrum Allocation and Cross-layer Routing,” in NATO Symposium on “Cognitive Radio and Future Network ” (IST-123), The Hauge, The Netherlands, May 2014.

Jithin Jagannath, Anu Saji, Hovannes Kulhandjian, Yifan Sun, Emrecan Demirors, and Tommaso Melodia, “A Hybrid MAC Protocol with Channel dependent Optimized Scheduling for Clustered Underwater Acoustic Sensor Networks”,

K. Gao, O. Ozdemir, D. A. Pados, S. N. Batalama, T. Melodia, and A. L. Drozd, “Cognitive code-division channelization with admission control,” Journal of Computer Networks and Communications – Special Issue on Trends and Applications of Cognitive Radio, vol. 2012, Article ID 510942, 9 pages, 2012.

S. Gogineni, O. Ozdemir, E. Masazade, C. K. Mohan, and P. K. Varshney, “A cross layer routing protocol for cognitive radio networks using channel activity tracking,” Proc. 46th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2012.

C. Maracchion, R. Loe, O. Ozdemir, and A. L. Drozd, “Dynamic frequency management and electromagnetic interference deconfliction for mobile units executing unplanned maneuvers,” Proc. IEEE International Symposium on Electromagnetic Compatibility (EMC Europe), Rome, Italy, Sep. 2012.

R. El Bardan, E. Masazade, O. Ozdemir, and P. K. Varshney, “Performance of permutation trellis codes in cognitive radio networks,” Proc. IEEE Sarnoff Symposium, Newark, NJ, May 2012.

A. Panwar, P. Bhardwaj, O. Ozdemir, E. Masazade, C. K. Mohan, P. K. Varshney, and A. L. Drozd, “On optimization algorithms for the design of multiband cognitive radio networks,” Proc. of the 46th Annual Conf. on Information Sciences and Systems (CISS), Princeton University, Mar. 2012.

O. Ozdemir, E. Masazade, C. K. Mohan, P. K. Varshney, A. L. Drozd, I. Kasperovich, R. Loe, and S. Reichhart, “Spectrum shaping challenges in dynamic spectrum access networks with transmission hyperspace,” Proc. International Waveform Diversity and Design Conf., Kauai, HI, Jan. 2012.

O. Ozdemir, A. L. Drozd, E. Masazade, and P. K. Varshney, “Successful communications in a cognitive radio network with transmission hyperspace,” Proc. IEEE Global Communications Conf. (GLOBECOM), Houston, TX, Dec. 2011.

O. Ozdemir, R. Niu, and P. K. Varshney, “’Tracking in wireless sensor networks using particle filtering: physical layer considerations,” IEEE Transactions on Signal Processing, vol. 57, no. 5, pp. 1987-1999, May 2009.

A. Drozd, I. Kasperovich and R. B. Wallen, “Status on the Development of Next-Generation EMC Codes for Large Systems,” Proc. of the 2008 DoD E3 Program Review, San Diego, CA, 7-11 April 2008 (CD Digest).

R. Rajagopalan, R. Niu, C. K. Mohan, P. K. Varshney and A. L. Drozd, “Sensor Placement Algorithms for Target Localization in Sensor Networks,” Proceedings of the IEEE Radar Conference, Rome, Italy, 26-30 May 2008 (CD Digest), ISBN: 1-4244-1593-X (ISSN: 1097-5659).

A. L. Drozd, I. Kasperovich and C. E. Carroll, Jr., “Electromagnetic Diversity & EMI Implications for Multiple Co-Sited Radars – Target Detection/Discrimination Applications,” Proc. of the 3rd Int’l Waveform Diversity and Design Conference, Pisa, Italy, 4-8 June 2007 (CD Digest).

I. Demirkiran |, D. D. Weiner and A. Drozd, “An Approach for Reduction of In-band Nonlinear Effect,” Proc. of the 3rd Int’l Waveform Diversity and Design Conference, Pisa, Italy, 4-8 June 2007 (CD Digest)

A. L. Drozd , I. Kasperovich, R. Niu and P. K. Varshney, “Electromagnetic Diversity and EMI Implications for Multiple Co-sited Radars and Targeting Applications,” Proc. of the IEEE EMC Symposium, Honolulu, HI, 8- 13 July 2007 (CD Digest).

I. Demerkiran, D. D. Weiner and A. Drozd, “Effect of In-band Intermodulation Interference on Direct- Sequence Spread Spectrum (DSSS) Communication Systems for Electromagnetically Diverse Applications,” Proc. of the IEEE EMC Symposium, Honolulu, HI, 8-13 July 2007 (CD Digest).

J. D. Norgard, R. L. Musselman, I. Kasperovich and A. L. Drozd, “Validation & Verification of CEM Field Prediction Techniques Compared to IR Images of EM Fields for Complex Systems,” 28th Annual AMTA Meeting & Symposium, Austin, TX, 23-27 October 2006 (CD Digest).

A. Drozd, I. Kasperovich, C. Carroll, et. Al, “Computational Electromagnetics Applied to Analyzing the Efficient Utilization of the RF Transmission Hyperspace,” Proc. of the 2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, Honolulu, Hawaii, 3- 7 April 2005 (CD- Digest).

A. L. Drozd, D. D. Weiner and P. K. Varshney, “Waveform Diversity for Adaptive Radar – An Expert System Approach,” Proc. 2004 International Conference on Waveform Diversity and Design, Edinburgh, UK, 8-10 November 2004.

A. Drozd, “Recent Progress on the Application of the E3Expert Capability to Model and Simulate the RF Battlespace to Analyze Complex Platform-Antenna Coupling” Proceedings of the 2002 Electromagnetic Code Consortium (EMCC) Annual Review Meeting, Albuquerque, NM, 7-10 May 2002.

A. Drozd, C. Carroll, et. Al., “Modeling and Simulating Complex Digital Battlespace E3 Scenarios for Air/Ground Target Identification and Analysis of Multiple Platform-Antenna Structure CEM Scattering, Propagation and Coupling Interactions”, Proceedings of the 2001 Electromagnetic Code Consortium (EMCC) Annual Review Meeting, Kauia, Hawaii, 29-31 May 2001.

A. Drozd, C. Carroll, J. Miller, et. Al., “A New Method For Generating Computational Structure Models to Study the Effects of Undesired High-Power Electromagnetic Energy On Complex Systems”, Proceedings of the Euro Electromagnetics (EUROEM/ANEREM) Joint Conference: 12th High Power Electromagnetics, 5th Ultra-Wideband Short Pulse Electromagnetics, and 5th Unexploded Ordnance Detection & Range Remediation Conferences, Edinburgh,Scotland, UK, 30 May-2 June 2000.

A. Drozd, T. Blocher, A. Pesta, et. Al., “Advances in the Development of New Tools to Generate Valid CEM Structure Models from CAD Descriptions & Analytically Predicting and Mitigating Undesired Electromagnetic Effects Using a Knowledge-Based Modeling/Simulation Approach”, Proceedings of the 2000 Electromagnetic Code Consortium (EMCC) Annual Meeting and MURI Reviews, St. Louis, MO, 8-10 May 2000.

A. Drozd, T. Blocher, et. Al., “Illustrating the Application of Expert Systems to Computational Electromagnetics Modeling and Simulation”, Conf. Proc. of the 14th Annual Review of Progress in Applied Computational Electromagnetics, Monterey, CA, 16-20 March 1998, pp. 36-41.

A. Drozd, A. Pesta, D. Weiner, P. Varshney and I. Demirkiran, “Application and Demonstration of a Knowledge-based Approach to Interference Rejection,” Conf. Proc. of the 1998 IEEE International Symposium on Electromagnetic Compatibility, Denver, CO, 23-28 August 1998, pp. 537-542.

A. Drozd and T. Blocher, “Heuristics-Based Computational Electromagnetics: A State-of-the-Art Technique for End-to-End EMC Modeling and Analysis of Large, Complex Structures”, Conf. Proc. of the 1998 IEEE International Symposium on Electromagnetic Compatibility, Denver, CO, 23-28 August 1998, pp. 1144-1149.

A. Drozd and V. Choo, “Artificial Intelligence/Expert System (AI/ES) Pre-Processor for Computational Electromagnetics (CEM)” Technical Report RL-TR-96-94 for the US Air Force Rome Laboratory, Air Force Materiel Command, July 1996.