Projects per year
Personal profile
About
Dr. Sanjay Madria is Curators' Distinguished Professor in the Computer Science department at Missouri University of Science and Technology. He received his M.S. and Ph.D. degrees from the Indian Institute of Technology and B.S. from the University of Delhi.
Dr. Madria's research revolves around resource management, data management, security and handling attacks in wireless sensor networks, mobile ad hoc networks and cloud computing. The applications like border patrolling, monitoring chemical leakage, and troop’s movements in the battlefield require constant sensing capabilities using tiny sensors. In the Web and Wireless Computing Lab, Dr. Madria has small miniature devices called motes that can self organize themselves to create a wireless sensor network and can send data to a given base station. The problems of handling data, managing security and handling attacks are much more severe in this environment due to limitations on battery power [AA batteries], memory [128KB] and CPU speed [7Mhz]. Dr. Madria designs light weight algorithms to handle data, provide secure passage of data to the base station and detect the presence of any malicious node in the path. He addresses issues like how to detect a malicious node which collects all data, but never forwards it, or forwards it to another part of the network or it will create fake identities. Also, a node can aggregate sensing data and may change the values like reporting the false number of troop’s movement, so the base station needs to verify that the reported data is correctly aggregated. Dr. Madria's PhD and MS students have published several papers in the area of security and trust and build test-beds. He is also working on secure sensor cloud, and more recently in the area of data integrity verification in cloud environment and has designed protocols and implemented them in EC2 platforms. Some other project areas are secure Cyber Physical Systems, Mobile Cloud Computing and Sensor Data Fusion.
CREE Research Investigator
Senior Investigator, Intelligent Systems Center
Contact Information
319 Computer Science Building
Missouri University of Science and Technology
Rolla, MO 65409
(573) 341-4856
Related documents
Education/Academic qualification
Ph.D. in Computer Science, Indian Institute of Technology Delhi
… → 1994
M.Sc. in Computer Science and Mathematics, Indian Institute of Technology Delhi
… → 1987
B.S., University of Delhi
… → 1985
Research Interests
- Cloud Computing
- Security
- Wireless Computing and Mobile Data Management
- Cyber Security (Smart Systems)
Disciplines
- Computer Sciences
Fingerprint
Dive into the research topics where Sanjay Kumar Madria is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Research Technology and Human Interventions for Self-escape in Underground Mine Emergencies
Madria, S. K. (PI)
1/1/20 → …
Project: Research project
-
Machine Learning for Secure & Resilient Information Management in Combat Cloud
Madria, S. K. (PI)
1/1/17 → …
Project: Research project
-
-
Digitally Secure Data Protection for Smart Manufacturing II
Madria, S. K. (PI)
1/1/19 → 1/1/21
Project: Research project
-
Big Data and Machine Learning for Security and Safety
Madria, S. K. (PI)
1/1/18 → 1/1/22
Project: Research project
-
A Tutorial on Social Media Data Analytics for Disaster Management
Madria, S., 2026, Web Engineering - 25th International Conference, ICWE 2025, Proceedings. Verma, H., Bozzon, A., Yang, J. & Mauri, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 419-422 4 p. (Lecture Notes in Computer Science; vol. 15749 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Bit-ViP: Leveraging Bit-planes to Preserve Visual Privacy in Images through Obfuscation
Tanwar, V. K., Gupta, A., Madria, S. & Das, S. K., 2026, (Accepted/In press) In: IEEE Transactions on Emerging Topics in Computing.Research output: Contribution to journal › Article › peer-review
-
EmoCIE: Emotion-Cause Identification with Intensity Estimation
Schmidt, J., Romano, A., Adesokan, A. & Madria, S., 2026, Web Information Systems Engineering - WISE 2025 PhD Symposium, Demos and Workshops - 26th International Conference, Proceedings. Awan, I., Younas, M., Zhang, Y., Barhamgi, M. & Wang, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 541-566 26 p. (Lecture Notes in Computer Science; vol. 16367 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Enhanced UAV Surveillance with RF-Based Drone Identification Using Transfer Learning
Podder, P., Zawodniok, M. & Madria, S., Jun 9 2026, SAC 2026 - 41st Annual ACM Symposium on Applied Computing. Association for Computing Machinery, p. 2055-2064 10 p. (Proceedings of the ACM Symposium on Applied Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters
Jewel, M. R., Elmahallawy, M., Madria, S. & Frimpong, S., 2026, Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026. Institute of Electrical and Electronics Engineers Inc., p. 1324-1333 10 p. (Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Press/Media
-
29 Missouri S&T researchers rank among world's top 0.05% of scholars
Fahrenholtz, W., Drewniak, J. L., Sarangapani, J., Zhu, C., Wunsch, D. C., Hilmas, G., Koval, L. R., Khayat, K., Day, D. E., Crow, M., Madison, D. H., Leu, M.-C., Al-Dahhan, M. H., Bai, B., Tsai, H.-L., Minteer, S., Madria, S. K., Das, S. K., Liou, F. W., Nuran, E., DuBois, R. D., Rahaman, M. N., Ruehli, A. E., Vojta, T. & Huang, J.
2/4/26
1 item of Media coverage
Press/Media: Research
-
Recent Studies from Missouri University of Science and Technology Add New Data to Information Technology (Stochastic Modeling of Electromagnetic Wave Propagation Through Extreme Dust Conditions in Underground Mines Using Vector Parabolic ...)
Madria, S. K., Frimpong, S. & Raza, M. A.
11/11/25
1 item of Media coverage
Press/Media: Research