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Dr. Aastha Maheshwari

Biography

Dr. Aastha Maheshwari is currently working as an Assistant Professor (Senior Grade) at the Department of Computer Science and Engineering/Information Technology, Jaypee Institute of Information Technology (JIIT), Noida. She holds a Ph.D. in Computer Science & Engineering from Delhi Technological University, where she specialized in Internet of Things (IoT) systems, particularly focusing on congestion control and optimization in IoT networks.

Dr. Maheshwari earned her M.Tech. degree from NIT Hamirpur, where she was awarded a Gold Medal for academic excellence. She holds a B.Tech. from AKTU and a Diploma in Engineering from Aligarh Muslim University, both in Computer Science and Engineering.

She has over four years of teaching experience, previously serving at Delhi Technological University as a Teaching Assistant (2019–2022), and Krishna Engineering College, Ghaziabad. Her research interests include Internet of Things, Networking, Data Analytics, Sensor Networks, and Wireless Communication

Educational Qualifications

Ph.D. (Computer Science & Engineering), from Delhi Technological University, M.Tech. (Computer Science & Engineering), from NIT Hamirpur., B.Tech. (Computer Science & Engineering), from AKTU, Diploma Engineering (Computer Science & Engineering), from Aligarh Muslim University

Research Highlights

Dr. Aastha Maheshwari’s research contributions lie at the intersection of Internet of Things (IoT), wireless sensor networks, and network optimization. Her doctoral work focused on enhancing the RPL (Routing Protocol for Low-power and Lossy Networks) to improve load balancing and reduce congestion in constrained IoT environments. She proposed novel mechanisms for congestion-aware data transmission in mobile and resource-constrained networks, validated through simulations and analytical models.

She has authored several high-impact journal articles in SCIE-indexed journals including Wireless Personal Communications, where her work on congestion control, data offloading, and prediction in IoT networks has been widely cited. Her paper titled “Congestion Aware Data Transmission in Mobile and Constrained IoT Network” (2023) proposed adaptive transmission techniques suited for dynamic topologies and low-bandwidth nodes.

Dr. Maheshwari has also contributed to collaborative projects on anomaly detection in software-defined networks (SDNs) and data analytics. She integrates Machine Learning techniques to address network vulnerabilities like DDoS detection and mitigation, and has co-authored ensemble-based models for threat identification.

In addition to her research papers, she has filed a patent on “System and Method for Congestion Aware Data Transmission in Mobile and Constrained IoT Network,” reflecting her commitment to innovation and technology transfer. Her ongoing interests include edge computing, intelligent network protocols, and sustainable IoT deployments.

Areas of Interest
  • Internet of things
  • Networking
  • Data Analysis
  • Database Management System and SQL
  • Machine learning and Deep learning
  • Edge Computing
  • Operating System and system programming
patents

Design Patent “System and method for congestion aware data transmission in mobile and constrained IoT network” accepted on 25th June 2024. 

Design No: 421490-001

The design relates to a wearable safety device specifically intended for children. The design includes an ergonomically contoured body with a soft, adjustable strap, a concealed GPS tracker, and a panic alert button seamlessly embedded into the top surface. The aesthetic form combines a playful, childfriendly appearance with functionality that allows parents or guardians to monitor the child's location in real time and receive emergency alerts. The overall ornamental appearance of the device is new, original, and ornamental