- Department Overview
- Computer Science Programs
- Student Opportunities
- Faculty and Staff
- News and Events
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.
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.
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.
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.
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.
Pope, A., D. Tauritz, and A. Kent. “Evolving Bipartite Authentication Graph Partitions.” IEEE Transactions on Dependable and Secure Computing PP, no. 99 (January 2017).
Elnabarawy, Islam, Daniel R. Tauritz, and Donald C. Wunsch. “Evolutionary Computation for the Automated Design of Category Functions for Fuzzy ART: An Initial Exploration.” ACM, 2017.
Harter, Adam, Daniel R. Tauritz, and William M. Siever. “Asynchronous Parallel Cartesian Genetic Programming.” ACM, 2017.
Tauritz, Daniel R., and John Woodward. “Hyper-Heuristics Tutorial.” ACM, 2017.
Illetskova, M., A. R. Bertels, J. M. Tuggle, A. Harter, S. Richter, D. R. Tauritz, S. Mulder, D. Bueno, M. Leger, and W. M. Siever. “Improving Performance of CDCL SAT Solvers by Automated Design of Variable Selection Heuristics,” 2017.
Li, Mingzhong, and Zhaozheng Yin. “Debugging Object Tracking by a Recommender System with Correction Propagation.” IEEE Transaction on Big Data 3 (2017): 429–442.
Thandu, Srinivas, Pratool Bharti, Sriram Chellappan, and Zhaozheng Yin. “Leveraging Multi-Modal Smartphone Sensors for Ranging and Estimating the Intensity of Explosion Events.” Pervasive and Mobile Computing 40 (2017): 185–204.
Li, Haohan, Yunxiang Mao, Zhaozheng Yin, and Yingke Xu. “A Hierarchical Convolutional Neural Network for Vesicle Fusion Event Classification.” Computerized Medical Imaging and Graphics 60 (2017): 22–34.
Jiang, Wenchao, and Zhaozheng Yin. “Indoor Localization with a Signal Tree.” Multimedia Tools and Applications 76 (2017): 20317–20339.
Jiang, Wenchao, and Zhaozheng Yin. “Combining Passive Visual Cameras and Active IMU Sensors for Persistent Pedestrian Tracking.” Journal of Visual Communication and Image Representation 48 (2017).
Ferral, Nolan, Kyara Holloway, Mingzhong Li, Zhaozheng Yin, and Chen Hou. “Heterogeneous Activity Causes a Nonlinear Increase in the Group Energy Use of Ant Workers Isolated from Their Social Environment.” Insect Science (2017).
Mao, Yunxiang, and Zhaozheng Yin. “Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images,” 2017.
Han, Liang, and Zhaozheng Yin. “Refocusing Phase Contrast Microscopy Images,” 2017.
Han, Liang, and Zhaozheng Yin. “Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks,” 2017.
Li, Haohan, Zhaozheng Yin, and Yingke Xu. “A Deep Learning Framework for Automated Vesicle Fusion Detection,” 2017.