All About Me
All About Me
I am Dr. Ayshika (ऐशिका) Kapoor, an AI researcher and engineer working across Generative AI, Agentic AI, Adaptive & Personalized Learning, Trustworthy AI, and Distributed Learning Systems. I currently work as a Deep Learning Research Engineer at eClerx, where I develop LLM based agentic systems, taking ideas from research and experimentation to real-world AI applications.
I completed my Ph.D. from the Indian Institute of Technology Roorkee in 2025 as a Prime Minister Research Fellow (PMRF), with research focused on adaptive, privacy-preserving, and communication-efficient federated learning systems for smart city applications. My broader interests lie in developing intelligent, adaptive, and reliable AI systems that combine advances in machine learning and generative AI with practical, scalable solutions for real-world problems. My work has been published across leading journals and conferences including IEEE Communications Surveys & Tutorials, IEEE IoT Magazine, ICASSP, IJCNN, and KDD.
PhD in Electronics and Communication Engineering (February, 2021 - October, 2025)
Indian Institute of Technology Roorkee
Specialization: Communication, Network & Signal Processing
Supervisor: Dr. Dheeraj Kumar
Thesis: Privacy-Preserving and Communication-Efficient Federated Learning Frameworks for Urban Sensing Systems
Bachelor of Technology in Electronics and Communication Engineering (2016 - 2020)
Jaypee University of Information Technology
eClerx | Deep Learning Researcher Bengaluru, India | March 2026 - Present
Contributed to the design and implementation of a research PoC extending Recursive Language Models (RLMs) with structured graph state and adaptive termination for long-context reasoning. Preprint
Co-developed an agentic LLM text-to-SQL analytics system for HPE executives & customers.
Co-developed an Agentic RAG ChatBot system for HPE Quickspecs, contributing from initial PoC design through the development phase.
Ola Electric | Applied Scientist Bengaluru, India | July 2025 - March 2026
Designed and developed a road-condition detection PoC using EV telemetry from accelerometer, gyroscope, and GPS sensors to identify potholes and speed-breakers.
Contributed to a research PoC for autonomous driving planning using a self-supervised Vision Language Planning (VLP) framework.
Research Impact: Filed 2 patents for the developed research prototypes.
Indian Institute of Technology Roorkee | Prime Minister Research Fellow Roorkee, India | Feb 2021- Oct 2025
Designed privacy-preserving and communication efficient federated learning algorithms for urban sensing systems.
Research Impact: Authored 3 journal papers (IEEE IoT Mag, IEEE COMST, Elsevier PMC), with 2 additional under review; presented 10 conference papers (ICASSP, IJCNN, KDD, NCC, ANTS) and secured 1 granted copyright (Govt. of India, SW-18890/2024).
Assisted Prof. Dheeraj Kumar for Detection and Estimation Theory (ECN 514)
Assisted Prof. Dheeraj Kumar and Prof. Sandeep Kumar Singh for Digital Communication Laboratory (ECN 510)
Assisted Prof. Tharun Reddy for Automatic Control Systems Laboratory (ECN 222)
Assisted Prof. Dheeraj Kumar for Coursera: Mining of smart city data: Opportunities & Challenges for program Post Graduate Certificate in 5G technology & IoT
Assisted Prof. Dheeraj Kumar for Linear Algebra and Random Processes (ECN 501)
Assisted Prof. Dheeraj Kumar for Communication Systems Laboratory (ECN 352)
Delivered a 30 hours workshop on Artificial Intelligence for Smart Cities using Python at Chitkara University (May, 2025)
Delivered a 25 hours workshop on Artificial Intelligence for Smart Cities using Python at Jaypee University of Information Technology (September, 2024)
Delivered lectures on Digital Data Communication at K.L. Polytechnic, Roorkee (Autumn 2023-24)
Data Structures and Algorithms: A Nanodegree Program from Udacity
Machine Learning using Python from E&ICT Academy, Indian Institute of Technology Kanpur
Introduction to Programming using Python issue by Microsoft Certification
Python Programming - A Practical Approach from E&ICT Academy, Indian Institute of Technology Kanpur
International Joint Conference on Neural Networks (IJCNN) 2025 at Rome, Italy
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 at Hyderabad, India
National Conference on Communications (NCC) 2025 at IIT Delhi, India
Winter School on Deep Learning 2025 organized by Indian Statistical Institute, India
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS 2024) at IIT Guwahati, India
SPACE 2023, 13th International Conference on Security, Privacy, and Applied Cryptography Engineering at IIT Roorkee, India
JTG/IEEE Information Theory Society Summer School 2023 at IISc Bangalore, India
Secured third rank in the course assessment at the Winter School on Deep Learning: Reinforcing Science with Foundation Models : Towards an Amazing Confluence, organized by Indian Statistical Institute
Received Students Travel Grant of USD 1200 from IEEE Computational Intelligence Society for IJCNN 2025 conference
Received Students Travel Grant of USD 1000 from International Neural Network Society (INNS) for IJCNN 2025 conference
Received Students Travel Grant of USD 300 from IEEE Signal Processing Society for IEEE ICASSP 2025 conference
Received Students Travel Grant of USD 100 from IEEE Communications Society for IEEE ANTS 2024 conference
Received the 2nd prize in the Poster session for CNSP track at IITR ECE Research Scholars' Day, 2024
Received Students Travel Grant of INR 4000 for CODS-COMAD 2023 conference from ACM India
Awarded Doctoral Fellowship by Ministry of Human Resource Development (MHRD), Government of India, from February, 2021 to December, 2022
Secured 94.10, 92.24 and 89.75 percentile in GATE EC 2021, IN 2021 and EC 2020 respectively
Gold medalist in Rann Neeti, sports fest organized by Indian Institute of Technology Mandi in 2016