Research output per year
Research output per year
Personal profile
About
Dr. Ardhendu S. Tripathy is an Assistant Professor in the department of Computer Science at Missouri University of Science and Technology. Prior to joining Missouri S&T, he was a postdoc with Robert Nowak at the University of Wisconsin-Madison. He received his Ph.D. from Iowa State University working with Aditya Ramamoorthy and Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Kanpur.
Dr. Tripathy's research interests include the areas of Machine Learning, Information Theory, Signal Processing Information Theory and Communication Systems. More specifically, he has worked on characterizing the function computation capacity of directed acyclic networks.
New Faculty 2020-2021
Investigator, Intelligent Systems Center
Contact Information
Room 310, Computer Science Building
Missouri University of Science & Technology
Rolla, MO 65409
(573) 341-4351
Related documents
Education/Academic qualification
Ph.D. in Electrical and Computer Engineering with a minor in Mathematics, Iowa State University
… → 2018
B.Tech. in Electrical Engineering, Indian Institute of Technology Kanpur
… → 2012
External positions
Postdoctoral Research Associate, University of Wisconsin-Madison
Jun 1 2018 → Nov 1 2020
Research Interests
- Statistical Learning Theory
- Adaptivity in Machine Learning
Disciplines
- Computer Sciences
Fingerprint
Dive into the research topics where Ardhendu S. Tripathy 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
-
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Seidi, N., Roy, S., Das, S. K. & Tripathy, A., 2024, 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
Gul, S., Elmahallawy, M., Madria, S. & Tripathy, A., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1302-1308 7 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
Gul, S., Elmahallawy, M., Madria, S. & Tripathy, A., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 900-909 10 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Using Geographic Location-based Public Health Features in Survival Analysis
Seidi, N., Tripathy, A. & Das, S. K., 2023, Proceedings - 2023 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2023. Institute of Electrical and Electronics Engineers Inc., p. 80-91 12 p. (Proceedings - 2023 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Chernoff Sampling for Active Testing and Extension to Active Regression
Mukherjee, S., Tripathy, A. & Nowak, R., 2022, In: Proceedings of Machine Learning Research. 151, p. 7384-7432 49 p.Research output: Contribution to journal › Conference article › peer-review
Press/Media
-
= Missouri University of Science & Technology Welcomes 12 Faculty Members
Tripathy, A. S., Bayless, D. J., Zhu, C., Head, K. J., Wang, D., Mulligan, P. R. & Sanchez, E. Q.
9/17/21
1 item of Media coverage
Press/Media: Research
-
Missouri S&T welcomes new faculty
Tripathy, A. S., Bayless, D. J., Zhu, C., Head, K. J., Wang, D., Mulligan, P. R. & Sanchez, E. Q.
9/16/21
1 item of Media coverage
Press/Media: Research