All About Me
All About Me
I am Dr. Ayshika (ऐशिका) Kapoor, a researcher and engineer specializing in distributed and secure AI, with a focus on privacy-preserving and communication-efficient intelligent systems. I currently serve as a Manager at Ola Electric, where I design and develop AI-driven models for electric vehicles (EVs) by leveraging large-scale telematics and sensor data to enable predictive maintenance and intelligent mobility insights. I have completed my Ph.D. in Electronics and Communication Engineering (specializing in Communication, Networks, and Signal Processing) from the Indian Institute of Technology Roorkee in 2025, and a Bachelor of Technology (B.Tech) in Electronics and Communication Engineering from Jaypee University of Information Technology in 2020. My Ph.D worked focused on developing efficient and privacy-preserving Federated Learning (FL) algorithms for cross-device systems for adaptive and scalable FL frameworks that address key challenges such as communication efficiency, statistical heterogeneity, privacy preservation, resource constraints, and domain-adaptive learning. During my Ph.D. I was also awarded the prestigious Prime Minister Research Fellowship (PMRF). My research contributions are published across journals and conferences such as IEEE IoT Magazine, IEEE Communications Surveys & Tutorials, Pervasive and Mobile Computing, ICASSP, IJCNN, NCC, 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
Intermediate (2016)
ISC board, Mount Carmel College, Lucknow
Matriculate (2014)
ICSE board, Mount Carmel College, Lucknow
Ola Electric | Manager Bengaluru, India | July 2025 - Present
Developed models for Remaining Useful Life (RUL) prediction of EV motors and battery packs by leveraging large-scale fleet telematics aggregated in cloud servers, illustrating the role of AI in analyzing networked vehicular data at scale.
Developed a real-time road anomaly detection and alerting system by leveraging vehicular sensor networks, transmitting edge-processed insights into centralized mapping platforms for enhanced networked safety services.
Trainee | Doordarshan Kendra Lucknow, India | June 2018
Hands-on experience about the technicalities, communication & infrastructure required in broadcasting in the Doordarshan channel
Knowledge about broadcasting chain, recording and editing of the show, receiving (downlink) of programmes from the satellite
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)
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
International Neural Networks Society (INNS) 2025 - Present
Institute of Electrical and Electronics Engineers (IEEE), Graduate Student Member 2023 - Present
IEEE Communications Society, IEEE Signal Processing Society, IEEE Computational Intelligence Society, IEEE Women in Engineering
IEEE Young Professional 2023 - Present
Women in 6G 2025 - Present