Sparsh Mittal

Assistant Professor (and IEEE senior member)

Department of Electronics and Communications Engineering

Joint faculty at Mehta Family School of Data Science and Artificial Intelligence

Indian Institute of Technology, Roorkee, India.

Email: sparsh0mittal at gmail dot com; sparshfec at (which is an alias of sparsh.mittal at and sparsh.mittal at

Profiles at Google Scholar,, ResearchGate, LinkedIn, PublicationsList and ACM-Library . ORCID: 0000-0002-2908-993X

Webpage of CANDLE research lab [Refer this for most up to date information about our research]

My talks on improving clarity in paper-writing, making technical figures, writing survey papers and making presentations.  

Research Interests

Processor architectures for machine learning, neural network accelerators, autonomous driving vehicles, computer architecture (CPUs and GPUs), VLSI, high-performance computing, approximate computing.

Awards and Honors

1.    In the Stanford's list of world's top researchers 2021, in the field of Computer Hardware & Architecture, I am ranked as number 71 (for whole career) and as number 3 (for year 2020). In 2020 list, I was ranked 107 (for whole career) and as number 3 (for year 2019 alone).

2.    My research on mobile-phone usage detection was praised by Education Minister of India (1, 2, 3). It was covered by TOI, HinduBusinessLine, TelanganaToday, Andhrajyothi and many other media platforms.

3.    My research has been covered by several technical news websites, e.g., TheMemoryGuy, InsideHPC (1, 2, 3, 4, 5, 6, 7, 8),  Primeur Magazine, StorageSearch 1, StorageSearch 2, StorageSearch 3,, TechEnablement, ScientificComputing, SemiEngineering (semiconductor engineering), ReRAM forum and HPCWire (1, 2, 3, 4, 5).

4.    My opinion-articles in popular media: BusinessWorldEducation, Eduvoice

5.    My application for recruiting a student on Intel PhD fellowship 2018 was approved.

6.     Received Distinguished Contribution rating at ORNL based on 2013-2014 performance appraisal. This rating recognizes the top 10 percent of staff. 

7.     Received Outstanding Contribution rating at ORNL based on 2014-2015 performance appraisal. Also received a performance award.

8.     Gave an invited presentation at Memory for HPC Systems session at ISC, Germany 2016. ISC is a top conference with 3000 attendees and bi-annual Top500 list is announced here.

9.     Best student paper candidate in SC 2014

10.                   ECpE fellowship from Electrical and Computer Engineering Department, Iowa State University, USA of $2500 in 2008.

11.                   Peer Research Award from Iowa State University, USA of $200 in 2013.

12.                   Topper in Electronics batch of year 2008 in ECE department at IIT Roorkee and received Institute Silver Medal for this.

13.                   Institute Silver Medal for Best B.Tech project award in Electronics and Computer Engineering (ECE) Department at IIT Roorkee.

14.                   Sumer Chand Jain Scholarship of INR 10,000 from IIT Roorkee.

15.  Best Student Award from High School (named MHS, Jaipur, Rajasthan, India) in 2004. Topper throughout school


Funded Proposals

2017/04: SERB early career research (ECR) award, title: Secure and Reliable Non-volatile Memories for Ultra-low Power Applications

2018/08: SRC USA, title: Designing efficient hardware-accelerators for Autonomous Driving Vehicles

Open-source software released

1.    DESTINY: DESTINY is an acronym for 3D design-space exploration tool for SRAM, eDRAM and non-volatile memory. DESTINY can model:

* (2D/3D) SRAM and eDRAM


* (2D, SLC/MLC) SOT-RAM, Flash, DWM

In its purpose, DESTINY is similar to CACTI, CACTI-3DD or NVSim. Here are manual and the JLPEA 2017 journal paper. Source-code is available here. See its news coverage on ReRAM forum.

The proverb goes, write your own destiny. Hence, we have written our own [tool named] DESTINY. J

2.    Code and trained model of our WACV-2020 paper ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks

3.    Code and trained model of our VLSID-2020 paper E2GC: Energy-efficient Group Convolution in Deep Neural Networks

4.    Dataset and trained models of our GOODTECHS-2020 paper Detecting Usage of Mobile Phones using Deep Learning Technique

5.    Both serial and parallel versions of code of red-black SOR (successive over-relaxation) method in three state-of-the-art languages, viz. Chapel (from Cray Inc.), D (also called dlang, from Digital Mars) and Go (also called golang, from Google) can be downloaded for academic use from this link. They were used in this paper. Chapel version of the code has been incorporated in Chapel performance test suite/examples.


Professional Background

Assistant Professor at IIT Hyderabad (2016-2019)

Postdoctoral research associate at Oak Ridge National Lab, USA (2013-2016)

PhD from Iowa State University (ISU), Ames, Iowa, USA (2008-2013).

BTech from Indian Institute of Technology (IIT) Roorkee, Uttarakhand, India (2004-2008).


Office Address

S-303, ECE Building, IIT Roorkee, Roorkee, Uttarakhand 247667