Research Highlights / Artificial Intelligence

Overview

Artificial Intelligence (AI) is a term that is no longer confined to the academia or the high tech industry but one that has entered the layman’s vocabulary. The advances in AI technology have positively impacted essentially all areas of knowledge and learning. IIT Hyderabad has positioned itself to become a leader in this space by introducing strong teaching and research programs in this area. As an example, IITH is the only institute in India (as of this writing) to offer undergraduate, graduate and research degree programs in AI. A diverse team of faculty from various areas of engineering, mathematics, and liberal arts conduct cutting edge research in core and applied areas of AI. This is evidenced by publications in top notch conferences and journals, numerous sponsored projects, and strong industry collaboration. Project funding in excess of INR 6.5 Crores has been received by faculty in this thrust area.

Team

Faculty Department Representative Project
Vineeth N. Balasubramanian Computer Science & Engineering Deep learning for Visual Detection of Aerial Images
Kishalay Mitra Chemical Engineeting Optimization of Mechanical Properties of Hot Rolled Steel using Evolutionary as well as Classical Approaches
Aditya Siripuram Electrical Engineering Signal Processing Perspectives for Unsupervised Graph Learning
Srijith P. K. Computer Science & Engineering Towards Developing Next - generation Deep Learning and Machine Learning Algorithms for Astrophysical Data Analysis
R. Prasanth Kumar Mechanical and Aerospace Engineering Cable Stiffened Flexible Link Manipulator for Pick-and-Place Tasks
Maunendra Desarkar Computer Science & Engineering
Manish Singh Computer Science & Engineering
M. Vidyasagar Electrical Engineering SERB Distinguished Fellowship
Shantanu Desai Physics Financial assistance for the Cluster proposals under the Data Science (DS) Research of Interdisciplinary Cyber Physical Systems (ICPS) Programme of the Department of Science & Technology
Abhinav Kumar Electrical Engineering Energy Efficient Lighting with Visible Light based Communication and Power Line Communication
Saurabh Joshi Computer Science & Engineering Scope Enrichment of Verification Technologies
Sri Rama Murty Kodukula Electrical Engineering Development of Speech Interface for From-filling Application for Five Indian Languages
Bala subramaniam Jayaram Mathematics Similarity Based Reasoning and Fuzzy Relational Inference- A Comprehensive Study
C. S. Sastry Mathematics Invariant and Sparse Modeling- Theory and Applications
Soumya Jana Electrical Engineering Development of Computational Software Integrating Multilevel Image Data Analysis- Towards Efficient Clinical Practices and Advanced Biomedical Research
P. Rajalakshmi Electrical Engineering Converged Cloud Communication Technologies
Sumohana S. Channappayya Electrical Engineering Deep Learning based Image Enhancement, Synthesis and Processing

Publications

Lee, Seong Beom, Kishalay Mitra, Harry D. Pratt, Travis M. Anderson, Venkatasailanathan Ramadesigan, Babu R. Chalamala, and Venkat R. Subramanian. “Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models.” Journal of Electrochemical Energy Conversion and Storage 17, no. 1 (2020).

Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Balaji K, V N Balasubramanian, “Charting the Right Manifold: Manifold Mixup for Few-shot Learning”, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’20), Mar 2020.

Parimala, Kancharla, and Sumohana Channappayya. “Quality Aware Generative Adversarial Networks.” In Advances in Neural Information Processing Systems (NeurIPS), pp. 2944-2954. 2019.

Nagahara, Masaaki, Debasish Chatterjee, Niharika Challapalli, and Mathukumalli Vidyasagar. “CLOT norm minimization for continuous hands-off control.” Automatica (2019): 108679.

Dewalkar, Swapnil, and Maunendra Sankar Desarkar. “Multi-Context Information for Word Representation Learning.” In Proceedings of the ACM Symposium on Document Engineering 2019, pp. 1-4. 2019.

Janardhan, V., and R. Prasanth Kumar. “Generating real-time trajectories for a planar biped robot crossing a wide ditch with landing uncertainties.” Robotica 37, no. 1 (2019): 109-140.

Jagadish, B., P. K. Mishra, M. P. R. S. Kiran, and P. Rajalakshmi. “A real-time health 4.0 framework with novel feature extraction and classification for brain-controlled iot-enabled environments.” Neural Computation 31, no. 10 (2019): 1915-1944.

Velaga, Swetha B., Muneeswar G. Nittala, Kiran K. Vupparaboina, Soumya Jana, Jay Chhablani, Jonathan Haines, Margaret A. Pericak-Vance, Dwight Stambolian, and Srinivas R. Sadda. “Choroidal vascularity index and Choroidal thickness in Eyes with Reticular Pseudodrusen.” RETINA (2019).

Sasmal, Pradip, Phanindra Jampana, and Challa Subrahmanya Sastry. “Construction of highly redundant incoherent unit norm tight frames as a union of orthonormal bases.” Journal of Complexity (2019).

Gupta, Vikash Kumar, and Balasubramaniam Jayaram. “Importation Algebras.” In International Summer School on Aggregation Operators, pp. 83-94. Springer, Cham, 2019.

Murty, K. Sri Rama. “Importance of Analytic Phase of the Speech Signal for Detecting Replay Attacks in Automatic Speaker Verification Systems.” In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6306-6310. IEEE, 2019.

Chaudhary, Eti, and Saurabh Joshi. “Pinaka: Symbolic Execution Meets Incremental Solving.” In International Conference on Tools and Algorithms for the Construction and Analysis of Systems, pp. 234-238. Springer, Cham, 2019.

Ramamoorthi, Yoghitha, and Abhinav Kumar. “Dynamic Time Division Duplexing for Downlink/Uplink Decoupled Millimeter Wave Based Cellular Networks.” IEEE Communications Letters (2019)

Kumar, Nagendra, Gopi Ande, Jessu Shirish Kumar, and Manish Singh. “Toward maximizing the visibility of content in social media brand pages: a temporal analysis.” Social Network Analysis and Mining 8, no. 1 (2018): 11.

Kundu, Shamik, P. K. Srijith, and Maunendra Sankar Desarkar. “Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach.” In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 790-793. IEEE, 2018.

Boran, Sibel, Shantanu Desai, E. O. Kahya, and R. P. Woodard. “GW170817 falsifies dark matter emulators.” Physical Review D 97, no. 4 (2018): 041501.

Osgood, Brad, Aditya Siripuram, and William Wu. “Discrete sampling and interpolation: Universal sampling sets for discrete bandlimited spaces.” IEEE Transactions on Information Theory 58, no. 7 (2012): 4176-4200.