Specialization

Internet of Things, Cloud Computing, Computer Networks, Distributed Systems

Email

surabhi.sharma@thapar.edu

Education
1.    PhD in Computer Science and Engineering from Indian Institute of Technology, Roorkee
o    Title – Topic-Aware Load Balancing and Optimal Caching in Event-Driven Multi-Broker Networks for Edge-Assisted IoT
2.    M. Tech. in Computer Science and Engineering from the National Institute of Technology, Hamirpur.
3.    B. Tech. in Computer Science and Engineering from Guru Nanak Dev University, Amritsar. 
4.    Schooling from DAV Public School (CBSE), Himachal Pradesh.

Trainings
1.    Served as Peer Reviewer for IEEE IoT Journal, 2025.
2.    Collaborated with the Defense Research and Development Organization (DRDO), Government of India, as a research fellow, 2024-2025
3.    Presented paper in “2022 IEEE 47th Conference on Local Computer Networks (LCN), Edmonton, Canada”.
4.    Presented paper in “2022 IEEE 49th Conference on Local Computer Networks (LCN), Caen, Normandy, France
5.    Organised the “Devbhoomi Hackathon 2.0 & National Conference”, 2022.
6.    Organised IEEE SLICE 2023.
7.    Attended Maitreyee: IBM Research – India’s annual women's outreach event, 2021.
8.    Organised IEEE MASS 2020.
9.    Organised TEQIP course on Internet of Things (IoT): What and How?, IITR 2018.
10.    Organised TEQIP course on High-Performance Computing, IITR 2018.
11.    Organised a TEQIP course on Course on “Recent Trends in Network Security”, IITR 2018.
Experience
1.    Research Fellow, DRDO, 2024-25

Journal Publications
1.    S. Sharma and S. K. Peddoju, "Efficient Multi-Broker Load Balancing in Event Driven Pub-Sub Networks," in IEEE Transactions on Network and Service Management, vol. 21, no. 4, pp. 3861-3873, Aug. 2024, doi: 10.1109/TNSM.2024.3401484. (Rank: Q1).
2.    S. Sharma and S. K. Peddoju, "Cooperative Multi-Agent Strategy for Caching of Transient Data in Edge-Assisted IoT Networks," in IEEE Transactions on Network and Service Management 2025. (Rank: Q1). [Under Minor Revision]

Conference Publications
1.    S. Sharma, A. Chaudhary, and S. K. Peddoju, "Optimal Caching Strategy for Data Freshness in IoT Applications with Edge Computing," 2024 IEEE 49th Conference on Local Computer Networks (LCN), Caen, Normandy, France (Oct 8-10) 2024. ERA Rank: (A), IEEE Computer Society. doi: 10.1109/LCN60385.2024.10639775.
2.    S. Sharma and S. K. Peddoju, "IoT-Cache: Caching Transient Data at the IoT Edge," 2022 IEEE 47th Conference on Local Computer Networks (LCN), Edmonton, Canada, 2022. ERA Rank: (A), IEEE Computer Society. doi: 10.1109/LCN53696.2022.9843211
3.    S. Sharma, T. P. Sharma, and K. Kadarala, “Global Snapshot of a Large Wireless Sensor Network.” In Advances in Decision Sciences, Image Processing, Security and Computer Vision: International Conference on Emerging Trends in Engineering (ICETE), Vol. 2 (pp. 741-752), 2020. Springer International Publishing. 

Honours and Achievements
●    Filed Two Copyrights with DRDO and IITR, 2025
●    European Commission - Seal of Excellence: MSCA, February 2025                                                                                                                                           
●    MHRD Fellowship, Master’s and PhD Programs, 2015-2022
●    IEEE LCN Student Participation Grant, 2022
●    DORA, IIT Roorkee Travel Grant, 2022
●    CSE IITR Microsoft Travel Grant, 2022
●    GATE qualified with a 550 score, 2015