M. Alkaddour, U. Tariq, and A. Dhall. “Self-Supervised Approach for Facial Movement Based Optical Flow,” IEEE Transactions on Affective Computing (TAffC).
P. Choudhary, P. Kumari, N. Goel, and M. Saini. “An Audio-Seismic Fusion Framework for Human Activity Recognition in an Outdoor Environment,” IEEE Sensors Journal, vol. 22, no. 23, pp. 22817–22827, 2022.
P. Choudhary, N. Goel, and M. Saini. “A fingerprinting based audio-seismic system for human target localization in an outdoor environment using regression,” IEEE Sensors Journal, vol. 22, no. 8, pp. 7944–7960, 2022.
P. Choudhary, N. Goel, and M. Saini. “A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity Recognition,” ACM Computing Surveys, vol. 55, no. 11, pp. 1–36, 2023.
A. Kaur and N. Auluck. “Real-Time Trust Aware Scheduling in Fog-Cloud Systems,” Concurrency and Computation: Practice and Experience.
S. Konar, N. Auluck, R. Ganesan, A. Goyal, T. Kaur, M. Sahi, T. Samra, S. Thingnam, and G. D. Puri. “A non-linear time series based artificial intelligence model to predict outcome in cardiac surgery,” Springer, 2022.
K. Fizza et al. “A survey on evaluating the quality of autonomic internet of things applications,” IEEE Commun. Surv. Tutor., pp. 1–1, 2022.
A. Kaur and N. Auluck. “Scheduling algorithms for truly heterogeneous hierarchical fog networks,” Softw. Pract. Exp., vol. 52, no. 11, pp. 2411–2438, 2022.
A. Kaur, N. Auluck, and O. Rana. “Real-Time scheduling on Hierarchical Heterogeneous Fog Networks,” IEEE Transactions on Services Computing, 2022.
P. Kamboj, S. Pal, S. Bera, and S. Misra. “QoS-aware multipath routing in software-defined networks,” IEEE Trans. Netw. Sci. Eng., vol. 10, no. 2, pp. 723–732, 2023.
V. Sethi and S. Pal. “FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing,” Future Generation Computer Systems, 2023 – Elsevier.
S. Dey. “Federated Learning-based Air Quality Prediction for Smart Cities using BGRU Model,” MobiCom Poster, pp. 871–873, 2022.
S. Gupta, G. Ghalme, N. C. Krishnan, and S. Jain. “Efficient algorithms for fair clustering with a new notion of fairness,” Data Min. Knowl. Discov., 2023.
S. Gupta, S. Jain, G. Ghalme, N. C. Krishnan, and N. Hemachandra. “Group and Individual Fairness in Clustering Algorithms,” AI and Ethics.
M. V. Venkata et al. “A Case Study on Periodic Spatio-Temporal Hotspot Detection in Azure Traffic Data,” ICDM (Workshops), vol. 2022, pp. 1037–1044.
V. Kaur, M. V. Venkata, and C. Gunturi. “A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment,” MDM, vol. 2022, pp. 185–187.
S. Singh, S. Jain, and S. S. Jha. “On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy”.
A. Kumar Dutta and M. V. Venkata. “A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks,” WISE, vol. 2022, pp. 110–118.
S. Sharma, V. Singh, and A. Dhall. “Frequency Aware Face Hallucination Generative Adversarial Network with Semantic Structural Constraint,” Computer Vision & Image Understanding, 2022.
Z. Cai, S. Ghosh, K. Stefanov, A. Dhall, J. Cai, and M. Hayat. “Masked Autoencoder for facial video Representation Learning,” Computer Vision & Pattern.
S. Badri, M. Saini, and N. Goel. “Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing.”
G. Sharma, A. Dhall, and J. Cai. “Audio-visual automatic group affect analysis,” IEEE Trans. Affect. Comput., pp. 1–1, 2021.
P. Hambarde, S. Murala, and A. Dhall. “UW-GAN: Single-image depth estimation and image enhancement for underwater images,” IEEE Trans. Instrum. Meas., vol. 70, pp. 1–12, 2021.
R. Kapur and B. Sodhi. “OSS effort estimation using software features similarity and developer activity-based metrics,” ACM Trans. Softw. Eng. Methodol., vol. 31, no. 2, pp. 1–35, 2022.
S. Dash, R. Sodhi, and B. Sodhi. “A bilayer clustered-priority-driven energy management model for inclining block rate tariff environment,” IEEE Trans. Industr. Inform., vol. 18, no. 6, pp. 3936–3946, 2022.
S. Andersson, D. R. Bathula, S. I. Iliadis, M. Walter, and A. Skalkidou. “Predicting women with depressive symptoms postpartum with machine learning methods,” Sci. Rep., vol. 11, no. 1, p. 7877, 2021.
P. Choudhary, N. Goel, and M. Saini. “A fingerprinting based audio-seismic system for human target localization in an outdoor environment using regression,” IEEE Sens. J., vol. 22, no. 8, pp. 7944–7960, 2022.
P. Kumari and M. Saini. “An adaptive framework for anomaly detection in time-series audio-visual data,” IEEE Access, vol. 10, pp. 36188–36199, 2022.
P. Choudhary, N. Goel, and M. Saini. “A fingerprinting based audio-seismic system for human target localization in an outdoor environment using regression,” IEEE Sens. J., vol. 22, no. 8, pp. 7944–7960, 2022.
A. Kaur, N. Auluck, and O. Rana. “Real-Time scheduling on Hierarchical Heterogeneous Fog Networks,” IEEE Trans. Serv. Comput., pp. 1–1, 2022.
A. Singh, N. Auluck, O. Rana, A. Jones, and S. Nepal. “Scheduling real-time security aware tasks infog networks,” Future Gener. Comput. Syst., vol. 123, pp. 32–48, 2021.
K. Fizza, A. Singh, and M. Saini. “A machine learning approach for dynamic resource allocation in mobile edge computing,” Comput. Commun., vol. 184, pp. 19–29, 2022.
A. Kaur, O. Rana, and N. Auluck. “Efficient task scheduling in hierarchical fog networks,” IEEE Trans. Cloud Comput., pp. 1–1, 2022.
A. Singh, P. Kamboj, and N. Auluck. “A framework for detecting DDoS attacks in SDN based cloud environments using machine learning,” Future Gener. Comput. Syst., vol. 115, pp. 36–46, 2021.
P. Kamboj, S. Pal, and S. Misra. “QoS-aware multipath routing in software-defined networks,” IEEE Trans. Netw. Sci. Eng., vol. 10, no. 2, pp. 723–732, 2023.
S. Ghosh, Z. Cai, M. Saini, and K. Stefanov. “Energy efficient task scheduling for collaborative edge computing in smart city,” Comput. Netw., vol. 194, p. 108163, 2021.
S. Sharma, S. Misra, and S. Pal. “Joint optimization of communication and computational resources for service provisioning in vehicular networks,” IEEE Trans. Veh. Technol., vol. 71, no. 5, pp. 4845–4856, 2022.
V. Rathi and P. Goyal. “Multispectral image demosaicking based on novel spectrally localized average images,” IEEE Signal Process. Lett., vol. 29, pp. 449–453, 2022.
S. Sharma, S. Misra, and S. Pal. “Joint optimization of communication and computational resources for service provisioning in vehicular networks,” IEEE Trans. Veh. Technol., vol. 71, no. 5, pp. 4845–4856, 2022.
S. Dash, R. Sodhi and B. Sodhi, “An Appliance Load Disaggregation Scheme Using Automatic State Detection Enabled Enhanced Integer Programming,” in IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 1176-1185, Feb. 2021, doi: 10.1109/TII.2020.2975810.
Ritu Kapur and Balwinder Sodhi. “A Defect Estimator for Source Code: Linking Defect Reports with Programming Constructs Usage Metrics” in ACM Trans. Softw. Eng. Methodol. 29, 2, Article 12 (April 2020), 35 pages. DOI:https://doi.org/10.1145/3384517.
Sharma Shipra and Balwinder Sodhi. “FACT-from actual to conceptual tie-ins: a multi-level knowledge graph structured on context and semantics of software artefacts.” Proceedings of the 35th Annual ACM Symposium on Applied Computing. 30 Mar – 3 Apr 2020.
Kapur, Ritu, Poojith U. Rao, Shipra Sharma, and Balwinder Sodhi. “Using Paragraph Vectors to improve our existing code review assisting tool-CRUSO.” ACM SIGSOFT 14th ISEC 25-27 Feb 2021.
S. Dash, R. Sodhi and B. Sodhi, “A Serverless Cloud Computing Framework for Real-Time Appliance-Usage Recommendation,” 21st National Power Systems Conference (NPSC), 17-19 Dec 2020, pp. 1-6, doi: 10.1109/NPSC49263.2020.9331847.
P. U. Rao, B. Sodhi and R. Sodhi, “Cyber Security Enhancement of Smart Grids Via Machine Learning – A Review,” 21st National Power Systems Conference (NPSC), 17-19 Dec 2020, pp. 1-6, doi: 10.1109/NPSC49263.2020.9331859.
S. Dash, R. Sodhi and B. Sodhi, “A Novel Instrumentation Approach for Clustered Appliance Load Monitoring,” IEEE Power & Energy Society General Meeting (PESGM), 3-6 Aug 2020, pp. 1-1, doi: 10.1109/PESGM41954.2020.9281645.
J. S. Virk, D. R. Bathula, “Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging”, 8th ACM IKDD CODS and 26th COMAD, Jan 2021, pp. 145-153.
A. Sikka, H. Jamalabadi, M. Krylova, S. Alizadeh, J. N. van der Meer, L. Danyeli, M. Deliano, P. Vicheva, T. Hahn, T. Koenig, D. R. Bathula, M. Walter, “ Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks”, Human Brain Mapping, 2020; 41: 2334– 2346.
S. Bagchi, A. Banerjee, D. R. Bathula, ” Learning a meta-ensemble technique for skin lesion classification and novel class detection”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2020, pp. 746-747.
S Wang, G Ananthanarayanan, Y Zeng, N Goel, A Pathania, T Mitra, “High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, V39, No 10, 2020.
Priyankar Choudhary, Neeraj Goel, and Mukesh Saini, “Event Detection and Localization for Sparsely Populated Outdoor Environment Using Seismic Sensor”, In International Symposium on BigMM 2020.
Alish Kanani, Jigar Mehta, Neeraj Goel, “ACA-CSU: A Carry Selection Based Accuracy Configurable Approximate Adder Design”, In International symposium on ISVLSI 2020.
Rajat Bhattacharjya, Alish Kanani, and Neeraj Goel, “ReARM: A Reconfigurable Approximate Rounding-Based Multiplier for Image Processing”, In international symposium on VDAT 2020.
Pratibha Kumari, Nikhil Nandyala, Allu Krishna Sai Teja, Neeraj Goel, Mukesh Saini, “Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance”. In MASS 2020: 437-445.
D. Ranpariya, G. Singh, A. Rattan, H. Singh and N. Auluck, “Machine learning-based Acoustic Repellent System for Protecting Crops against Wild Animal Attacks”, The Fifteenth IEEE International Conference on Industrial and Information Systems (ICIIS), November 26 – 28, 2020.
M. Sahi and N. Auluck, “An IoT based Intelligent Irrigation Management System”, The Twenty-Sixth International Conference on Advanced Computing and Communications (ADCOM), December 16-18, Silchar, Assam, 2020.
M. Maruf, A. Singh, A. Azim and N. Auluck, “Resource Efficient Allocation of Fog Nodes for faster Vehicular OTA Updates”, The IEEE International Symposium on Networks, Computers and Communication (ISNCC), Montreal, Canada, October 20-22, 2020.
J. Chauhan and P. Goyal, “A Multi-path CNN for Automated Skin Lesion Segmentation”, International Joint Conference on Neural Network (IJCNN) 2021. (accepted).
G. Singh and P. Goyal, “GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks”, International Joint Conference on Neural Network (IJCNN) 2021. (accepted).
V. Rathi and P. Goyal, “Convolution Filter based Efficient Multispectral Image Demosaicking for Compact MSFAs”, IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 4:112-121.
M. Singh and P. Goyal, “ChartSight: An Automated Scheme for Assisting Visually Impaired in Understanding Scientific Charts”, IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 5: 309-318.
V. Rathi, M. Gupta, P. Goyal, “A New Progressive Approach based on Spectral Difference for Single-Sensor Multispectral Imaging System”, IAPR endorsed 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) 2021; 4:329-336.
M. Singh and P. Goyal, “DeepDoT: Deep framework for detection of tables in document images”, 5th IAPR International Conference on Computer Vision & Image Processing, CVIP 2020, IIIT Allahabad.
J. Chauhan and P. Goyal, “Atrous Convolution Neural Network for Effective Burn Region Segmentation of Color Images,” Burns, 2020 (Accepted).
J. Chauhan and P. Goyal, “BPBSAM: Body Part-specific Burn Severity Assessment Model,” in Burns 2020; 46(6):1407-23.
J. Chauhan and P. Goyal, ” Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis ,” International Joint Conference on Neural Network, Glasgow, UK, 19-24 July, 2020. (Core A).
K. Agrawal, J. Chauhan, Vamseedharan, and P.Goyal, “Information Technology in Burn Care,” in Textbook of Plastic, Reconstructive, and Aesthetic Surgery, vol. 5, Thieme, 2020, pp. 697-714.
Orr Dunkelman, Abhishek Kumar, Eran Lambooij, Somitra Kumar Sanadhya. Counting Active S-Boxes is not Enough. Indocrypt 2020.
Amit Kumar Chauhan, Somitra Kumar Sanadhya. Quantum Resource Estimates of Grover’s Key Search on ARIA. SPACE 2020.
Nalla Anandakumar, Mohammed Hashmi, Somitra Kumar Sanadhya. Efficient and Lightweight FPGA-based Hybrid PUFs with Improved Performance. Microprocessors and Microsystems. Vol. 77. Elsevier.
Kaustav Goswami, Dip Sankar Banerjee and Shirshendu Das, “Towards Enhanced System Efficiency While Mitigating Row Hammer”, ACM Transactions on Architecture and Code Optimization (TACO), Accepted, March 2021.
Bindu Agarwalla, Shirshendu Das and Nilkanta Sahu, “Efficient Cache Resizing Policy for DRAM-based LLCs in ChipMultiprocessors”, Elsevier Journal of System Architecture, Accepted, September 2020.
Tanmay Goel, Divyansh Maura, Kaustav Goswami, Shirshendu Das and Dip Sankar Banerjee, “Towards Row Sensitive DRAM Refresh through Retention Awareness”, ISQED 2021.
Kousik Kumar Dutta, Prathamesh Nitin Tanksale and Shirshendu Das, “A Fairness Conscious Cache Replacement Policy for Last Level Cache”, Design, Automation and Test in Europe Conference (DATE) 2021.
Anurag Agarwal, Jaspinder Kaur and Shirshendu Das, “Exploiting Secrets by Leveraging Dynamic Cache Partitioning of Last Level Cache”, Design, Automation and Test in Europe Conference (DATE) 2021. – Nominated for best paper award.
P Kamboj, S. Khare, S. Pal, “Role-Based Access Control using Blockchain based Smart Contract”, Peer-to-Peer Networking and Applications, 2021.
A. Vyas, S. Pal, “Optimum Placement of Relay Nodes in WBANs for Improving the QoS of Indoor RPM System”, IEEE Sensors Journal, 2021.
N. Sharma, J. Jun, S. Pal, “Correlated Collision Problem of Contention based MAC Protocol in Low-Power Wireless Networks”, IET Communications, 14 (22), 4007-4013, 2021.
V. Agarwal, S. Pal, N. Sharma, V. Sethi, “Identification of Defective Nodes in Cyber-Physical System”, IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems, 2020.
V. Sethi, S. Pal, A. Vyas, “Online Energy-efficient Scheduling Algorithm for Renewable Energy-powered Roadside units in VANETs”, IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems, 2020.
V. Agarwal, S. Pal, “Blockchain meets IoT: A Scalable Architecture for Security and Maintenance”, IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems, 2020.
S. Kumar, P. Sinha, and S. Pal, “Crowd-Sourced Centralized Thermal Imaging for Isolation and Quarantine”, Computational Modeling and Data Analysis in COVID-19 Research, C. R. Panigrahi, B. Pati, M. Rath, Rajkumar Buyya, CRC press, 2021, ISBN 9781003137481.
V. Agarwal, S. Pal, “Securing IoT with Blockchain Challenges, Applications, and Techniques”, Book Chapter, CRC press, 2020 (Accepted).
Kumar Abhishek, Shweta Jain, and Sujit Gujar. 2020. Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’20). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1732–1734.
