Faculty publications

Nan Cen

N. Cen, Z. Guan, T. Melodia, " Low-Power Multimedia Internet of Things through Compressed Sensing based Multi-view Video Streaming," submitted to IEEE Transactions on Mobilie Computing, under revision, 2018.

Z. Guan, N. Cen, T. Melodia, S. Pudlewski " Joint Power, Association and Flight Control for Massive-MIMO Self-Organizing Flying Drones," submitted to IEEE/ACM Transactions on Networking.

N. Cen, J. Jagannath, S. Simone, Z. Guan, T. Melodia, " LANET: Visible-Light Ad Hoc Networks," in Ad Hoc Networks (Elseier), 2018. 

N. Cen, Z. Guan, T. Melodia, " Inter-view Motion Compensated Joint Decoding of Compressive-Sampled Multiview Video Streaming," in IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1117-1126, June 2017. 

S. Pudlewski, N. Cen, Z. Guan, and T. Melodia, "Video Transmission over Lossy Wireless Networks: A Cross-layer Perspective," IEEE Journal on Selected Topics in Signal Processing, in press 2014. 

Sajal Das

Roy, Nirmalya, Christine Julien, and Sajal K. Das. “Resource-Optimized Ambiguous Context Mediation for Smart Healthcare” (n.d.).

Ghosh, Preetam, Samik Ghosh, Kalyan Basu, Sajal Das, and Simon Daefler. “Transient Analysis of Diffusion for Charged Molecules to Model the Input Process in a Stochastic Event Based Simulation Framework for the PhoPQ Signal Transduction System” (n.d.).

Das, Sajal K., A. Rahim, Xianjie Kong, Feng Xia, Zhaolong Ning, Noor Ullah, and J. Wang. “Vehicular Social Networks: A Survey.” Pervasive and Mobile Computing 43 (2018): 96–113.

Das, Sajal K., Sujoy Saha, Subrata Nandi, R. Verma, and V. Sinha. “Design of Efficient Lightweight Strategies to Combat DoS Attack in Delay Tolerant Network Routing.” Wireless Networks 24 (2018): 173–194.

Das, Sajal K., Zohar Naor, and Mayank Raj. “Content Placement for Video-on-Demand Services Over Cellular Networks.” Wireless Personal Communications 98 (2018): 467–486.

Das, Sajal K., M. Ding, D. Lopez-Perez, Guoqiang Mao, and Z. Lin. “DNA-GA: A Tractable Approach for Performance Analysis of Uplink Cellular Networks.” IEEE Transactions on Communications 66 (2018): 355–369.

Das, Sajal K., B. Yi, Xingwei Wang, Keqin Li, and Min Huang. “A Comprehensive Survey of Network Function Virtualization.” Computer Networks 133 (2018): 212–262.

Wu, Wei, S Das, Archan Misra, and Subir Das. “QoS Framework for Supporting Intra-Domain Mobility.” the Proceedings of Mobile Computing and Communications Review (SIGMOBILE-03) 7, no. 1 (n.d.): 25–27.

Das, Sajal K., Sanjoy K. Sen, and Rajeev Jayaram. “A Novel Load Balancing Scheme for the Tele-Tra c Hot Spot Problem in Cellular Networks.” ACM Wireless Networks journal (WINET) (n.d.).

Z’aruba, Gergely V., Wei Wu, Mohan J. Kumar, and Sajal K. Das. “NGIneUS: Intelligent User Shadows for Next Generation Wireless Services” (n.d.).

Das, Sajal K., Weifa Liang, Z. Xu, J. Shi, and Guoqiang Mao. “Approximation Algorithms for Charging Reward Maximization in Rechargeable Sensor Networks via A Mobile Charger.” IEEE/ACM Transactions on Networking 25 (2017): 3161–3174.

Das, Sajal K., Xingwei Wang, Dapeng Qu, Keqin Li, H. Cheng, Min Huang, R. Wang, and S. Chen. “A Flexible and Generalized Framework for Access Network Selection in Heterogeneous Wireless Networks.” Pervasive and Mobile Computing 40 (2017): 556–576.

Das, Sajal K., C. Bu, Xingwei Wang, H. Cheng, Min Huang, and Keqin Li. “Enabling Adaptive Routing Service Customization via the Integration of SDN and NFV.” Journal of Network and Computer Applications 93 (2017): 123–136.

Gu, F., Jinawei Niu, Sajal K. Das, Z. He, and X. Jin. “Detecting Breathing Frequency and Maintaining a Proper Running Rhythm.” Pervasive and Mobile Computing 42 (2017): 498–512.

Das, Sajal K., Marco Conti, and Andrea Passarella. “The Internet of People (IoP): A New Wave in Pervasive Mobile Computing.” Pervasive and Mobile Computing 41 (2017): 1–27.

Das, Sajal K., Francesco Restuccia, Shameek Bhattacharjee, Nirnay Ghosh, and Tomasso Melodia. “Quality of Information in Mobile Crowdsensing: Survey and Research Challenges.” ACM Transactions on Sensor Networks 13 (2017): 34:1– 34:43.

Das, Sajal K., Marco Tiloca, D. De Guglielmo, Gianluca Dini, and Giuseppe Anastasi. “JAMMY: A Distributed and Self-Adaptive Solution against Selective Jamming Attack in TDMA WSNs.” IEEE Transactions on Dependable and Secure Computing 14 (2017): 392–405.

Das, Sajal K., Xianjie Kong, Feng Xia, J. Wang, and A. Rahim. “TLR: Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data.” IEEE Transactions on Industrial Informatics 13 (2017): 1202–1212.

Das, Sajal K., Alessandra De Paola, Pierluca Ferraro, Salvatore Gaglio, and Giuseppe Lo Re. “An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments.” IEEE Transactions on Mobile Computing 16 (2017): 1502–1512.

Das, Sajal K., J.-l Shi, Xingwei Wang, Min Huang, and Keqin Li. “Social-Based Routing Scheme for Fixed-Line VANET.” Computer Networks 113 (2017): 230–243.

Das, Sajal K. “Compressive Sensing Based Data Quality Improvement for Crowd-Sensing Applications.” Journal of Network and Computer Applications 77 (2017): 123–134.

Das, Sajal K. “Popularity-Based Caching for IPTV Services over P2P Networks.” Peer-to-Peer Networking and Applications 10 (2017): 156–169.

Das, Sajal K., S. Tan, Debraj De, W.-z. Song, and J. Yang. “Survey of Security Advances in Smart Grid: A Data Driven Approach.” IEEE Communications Surveys and Tutorials 18 (2017): 397–422.

Das, Sajal K., Ningrila Marchang, and Raja Datta. “A Novel Approach for Efficient Usage of Intrusion Detection System in Mobile Ad Hoc Networks.” IEEE Transactions on Vehicular Technology 66 (2017): 1684–1695.

Das, Sajal K., S. Mohrekesh, and Michelle C. Wiegle. “Energy Harvesting in Electromagnetic Nanonetworks.” IEEE Computer 50 (2017): 59–67.

Das, Sajal K., Tie Luo, Salil S. Kanhere, J. Huang, and F. Wu. “Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, Trust and Reputation Systems.” IEEE Communications Magazine 55 (2017): 68–74.

Jennifer Leopold

Abedijaberi, Armita, Nathan Eloe, and Jennifer Lynn Leopold. “Interactive Visualization of Robustness Enhancement in Scale-Free Networks with Limited Edge Addition (RENEA).” 34–42, 2017.

Das, Sima, Jennifer Lynn Leopold, Susmita Ghosh, and Sajal Das. “Graph Compaction in Analyzing Large Scale Online Social Networks,” 2017.

Tony Luo

M. V. Ngo, H. Chaouchi, T. Luo, and T. Quek, “Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing,” AAAI Workshop on Artificial Intelligence of Things (AIoT), 2020.

L. Zeynalvand, T. Luo, and J. Zhang, "COBRA: Context-aware Bernoulli neural networks for reputation assessment," 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

H. Lv, C. Zhang, Z. Zheng, T. Luo, F. Wu and G. Chen, "Mechanism design with predicted task revenue for bike sharing systems," 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

T. Luo, J. Huang, S. S. Kanhere, J. Zhang, and S. K. Das, “Improving IoT data quality in mobile crowd sensing: A cross validation approach,” IEEE Internet of Things Journal (IoT-J), vol. 6, no. 3, pp. 5651-5664, June 2019.

H. Lv, F. Wu, T. Luo, X. Gao, and G. Chen, “Achieving location truthfulness in rebalancing supply-demand distribution for bike sharing,” 12th International Conference on Algorithmic Aspects in Information and Management (AAIM), pp. 256-267, December 2018. Best Student Paper Award.

T. Luo and S. Nagarajan, “Distributed anomaly detection using autoencoder neural networks in WSN for IoT,” IEEE International Conference on Communications (ICC), May 2018.

T. Luo, S. S. Kanhere, J. Huang, S. K. Das, and F. Wu, “Sustainable incentives for mobile crowdsensing: Auctions, lotteries, and trust and reputation systems,” IEEE Communications Magazine, vol. 55, no. 3, pp. 68-74, March 2017.

T. Luo, S. K. Das, H-P. Tan, and L. Xia, “Incentive mechanism design for crowdsourcing: an all-pay auction approach,” ACM Transactions on Intelligent Systems and Technology (TIST), vol. 7, no. 3, pp. 35:1-26, February 2016.

T. Luo, S. S. Kanhere, S. K. Das, and H-P. Tan, “Incentive mechanism design for heterogeneous crowdsourcing using all-pay contests,” IEEE Transactions on Mobile Computing (TMC), vol. 15, no. 9, pp. 2234-2246, September 2016.

T. Luo, S. S. Kanhere, H-P. Tan, F. Wu, and H. Wu, “Crowdsourcing with Tullock contests: A new perspective,” The 34th IEEE International Conference on Computer Communications (INFOCOM), April 2015, pp. 2515-2523. Best Paper Award nominee.

C-K. Tham and T. Luo, “Quality of contributed service and market equilibrium for participatory sensing,” IEEE Transactions on Mobile Computing (TMC), vol. 14, no. 4, pp. 829-842, April 2015.

T. Luo, H-P. Tan, and L. Xia, “Profit-maximizing incentive for participatory sensing,” The 33rd IEEE International Conference on Computer Communications (INFOCOM), April 2014, pp. 127-135.

T. Luo, H-P. Tan, P. C. Quan, Y-W. Law, and J. Jin, Enhancing Responsiveness and Scalability for OpenFlow Networks via Control-Message Quenching, International Conference on ICT Convergence (ICTC), October 2012, pp. 348-353. Best Paper Award.

Sanjay Madria

Kumar, Shashank, Sanjay Madria, and Mark Linderman. “M-Grid: A Distributed Framework for Multidimensional Indexing and Querying of Location Based Data.” Distributed and Parallel Databases 35, no. 1 (2017): 55–81.

Chejerla, Brijesh Kashyap, and Sanjay Kumar Madria. “QoS Guaranteeing Robust Scheduling in Attack Resilient Cloud Integrated Cyber Physical System.” FutureGenerationComp. Syst. 75 (2017): 145–157.

Padhariya, Nilesh, Anirban Mondal, Sanjay Madria, and Masaru Kitsuregawa. “Economic Incentive Schemes for Improving Availability of Rare Data in Mobile-P2P Networks.” IJNGC 8, no. 1 (2017).

Sen, Amartya, and Sanjay Madria. “Risk Assessment in a Sensor Cloud Framework Using Attack Graphs.” IEEETrans.Services Computing 10, no. 6 (2017): 942–955.

Bruce McMillin

Roth, T., and B. McMillin. “Physical Attestation in the Smart Grid for Distributed State Verification.” IEEE Transactions on Dependable and Secure Computing 15, no. 2 (March 2018): 275–288.

McMillin, Bruce, and Tao Zhang. “Fog Computing for Smart Living.” COMPUTER 50 (February 2017): 5–5.

Howser, Gerry, and Bruce McMillin. “Using Information-Flow Methods to Analyze the Security of Cyber-Physical Systems.” COMPUTER 50 (April 2017): 17–26.

Venkata Sriram Siddhardh Nadendla

V. Sriram Siddhardh Nadendla, Cedric Langbort, Tamer Basar, “On the Effects of Subjective Biases on Strategic Information Transmission between Human Agents,” Submitted to IEEE Transactions on Communications (Accepted).

Chaman Sabharwal

Sabharwal, Chaman L. “An Adaptive Algorithm Optimizing Features in PCA , SVD, and MDS,.” Mexican Journal of Artificial Intelligence,  Polibits, Volume 56, (2017): pp.1–10.

Sabharwal, Chaman L. “An Elegant Intuitive Algorithm for Rotation about a Mobile Axis.” International Journal of Trend in Research and Development, 4 (2017): pp.28–33.

Sabharwal, Chaman L. “An SVD-Entropy and Bilinearity Based  Product Ranking Algorithm Using Heterogeneous Data,.” Journal of Visual Languages & Computing Volume 41, (2017): Pages 133–141.