Faculty: Dr. Sparsh Mittal (Associate Professor, ECE and MFS IITR)
Team at ECE@IITR and MFS@IITR
Phd Students
Aabid Amin Fida (ECE, 2022-)
Priyanshu Tyagi (ECE, 2022-)
Cheena Singhal (ECE, 2022-)
Sonali Gangwar (MFS, 2023-)
Harsh Raj Thakur (ECE 2024-)
Akhil Bhogal (MFS, 2026-)
Snigdharani Swain (MFS 2026-)
MTech Students:
Maddi Sai Sushmita, Prasun Singhal, Sadashiv Chinmad, Ankita Rajshri, Avinash Kumar (ECE)
Sagar, Mudhi reddy Karunakar reddy (ECE)
Divyansh, Soikat Das (MFS)
Aniket Srivastava, Brijesh Yadav (MFS)
BTech Students
Aakash Kumar Singh, Manav Aggarwal (MFS)
Swadesh Swain, Parth D. Budgujar (ECE)
Email of all the graduate students is here.
Alumni
Aryan Sharma (ECE). Thesis: Prospect of HM/FM/AFM Trilayer as Leaky Integrate and Fire Neuron
Dhayan Dhananjaya Senanayake (ECE MTech 2023-2025) Topic: "Novel SRAM-based In-Memory computing Approaches for Boolean Logic and MAC operations"
Vipin Jayprakash (ECE MTech 2022-2025) Topic: Implementation Of Sensor Data Processing And Data Acquisition With Enhanced Safety Features Using Automotive Protocol
Ajay Joseph (ECE MTech 2022-2025) Topic: Design and Verification of AXI2CXL Bridge
Ankit Rathore (ECE MTech 2022-2025) Topic: RTL implementation of Sobel Edge Filter
Anuj Baliyan (ECE BTech, 2021-2025) Topic: A LLM-Based Multi-Agent Integrated AI Software For Enhanced Academic Research
VIPUL AGARWAL (MFS MTech 2023-2025) Topic: "Enhancing Facial Emotion Recognition via Knowledge Distillation and Amend Representation Module"
Maruthi S. Inukonda (Jan 2018- 2024) (on Intel PhD fellowship, guide is Dr B. Reddy from IITH. I am co-guide.) Topic: Privacy-Preserving Forensics Enabled Networked Computing Environment at Scale
Subhrajit Nag (PhD July 2017-Aug 2022). Topic: Efficient Deep Learning Models for Real-World Visual Computing Applications
Priyansh Singh (MTech 2021-2023): Image Classification using Deep Learning and Machine Learning Approach on FICS-PCB image Dataset
Prahlad, (MTech 2022-2024) "Design of X-Band LC Voltage Controlled Oscillator with Tail Noise Filtering", co-guide: Dr Bishnu Das
M Krishna Chaitanya (MTech 2021-2023): A Deep Learning Approach for Brain MRI Classification and Segmentation
Vibhu (MTech 2019-2022) and Pankaj Berule (MTech 2019-2021)
Bhargav Achary (MS 2018-2021)
Poonam Rajput (M.Tech RA 2017-2020) First job: Adobe
Nandan K. Jha (M.Tech RA 2017-2020). Joined PhD at NYU, USA
Santanu Pattanayk (MTech in Data Science 2017-2020) [working at Qualcomm]
Suraj Kumar Singhal (MTech TA 2018-2020) First job: Microsoft
Rajat Saini (M.Tech TA 2017-2019) First job: Toyota Research Institute, Japan.
Srinivasa C. Gopireddy (MDS 2016-2019) [working at Qualcomm]
Ritesh Gupta (MTech RA 2018-2021) [co-guided with Dr Manish Singh]
Sharath R (MTech RA 2018-2021) [co-guided with Dr Manish Singh]
Dinesh Buswala (M.Tech TA 2016-2018). Topic: Approximating the Image By Exploiting the Limitations of Human Visual System. First Job: Honeywell.
BTech Students (partial list):
Shraiysh V., Chander Shekhar, Supraj B., Manish Reddy Yedulla, Irfan Ali, Ketan Iyengar, C. Dinesh Reddy
BTech final year project:
Sarthak S. and Ritick G.; Ishan and Tushar; Yash Jain and Vishu Saxena; Pranav Arya, Priyansh Rathi, Apoorva Verma [IIT Roorkee]
Aditya and Saksham; Sanskar Agarwal and Akshat Jain [IIT Roorkee]
Shreyas Ravishankar and Vaibhav Balloli (BITS Hyderabad),
Interns (partial list!)
Osho Anand (IITP), Visnu P Kumar (IITP), Jatin Ahuja (NITT), Sumanth U. (IITJ), Abhinaya SB (NITT)