My research interests lie broadly in the field of
Computing Systems specifically focussing on exploring different aspects of embedded and distributed systems. My research hovers around the frontiers of computer architecture, computer networks, system software, compilers and artificial intelligence. I am fascinated with battery operated, small form factor computing systems, and how they can be applied to emerging systems handling issues related to low energy consumption, security and fault tolerance. I am specially excited about applying artificial intelligence in resource constrained systems in a secured and efficient manner. I am also excited about biologically inspired computing systems and would like to work on their design in future.
An outline of my current research can be found here
Rakesh Kumar and Akash Sachan successfully defended their theses. Best wishes for their future !!!!
Information for Students
1. Aspiring PhD students willing to work with me may
apply for the PhD program at IIIT Allahabad [Application link]
2. If you are a graduate student (preferably with
CS/IT/ECE background) and wish to work as summer/winter
intern at Systems
Lab@IIITA, send in your latest resume to
bibhas.ghoshal@iiita.ac.in
and to systemlab.iiita@gmail.com.
Additionally,
you should visit http://internship.iiita.ac.in
to know about administrative procedures.
2025
[J] [IEEE DFT] SuBhI: Securing Embedded System’s Runtime Integrity via Behavioural Information
Pravin Srivastava, Anandpreet Kaur and Bibhas Ghoshal accepted for publication in IEEE Design for Test
2024
[J] [IEEE DFT] Exploring Resilience of LPDRAM against RowHammer
Anandpreet Kaur, Pravin Srivastava and Bibhas Ghoshal IEEE Design for TestEarly Access [Download]
[J] [SCPJ. Elsevier ] Hybrid Approach to Extract Conceptual Diagram from Software Requirements
Shweta, Ratna Sanayal and Bibhas Ghoshal Science of Computer Programming Journal, Elsevier, 2024 Volume 239
[C] [CASES ] Flipping Bits Like a Pro: Precise Row Hammering on Embedded Devices
Anandpreet Kaur, Pravin Srivastava and Bibhas Ghoshal accepted at International Conference on Compilers, Architecture, Synthesis for Embedded Systems (ESWEEK-CASES) 2023
[J] [IEEE ESL ] Flipping Bits Like a Pro: Precise Row Hammering on Embedded Devices
Anandpreet Kaur, Pravin Srivastava and Bibhas Ghoshal to be published in ESWEEK Special Issue of IEEE Embedded System Letters (ESL) 2023 [Download]
[J] [Integration, Elsevier]Fault-Aware Routing Approach for Mesh-based Network-on-Chip published
Ankur Gogoi, Bibhas Ghoshal and Kanchan Manna,
Integration, the VLSI Journal, Elsevier, Volume 93 [Download]
2022
[C] [CASES ] DRAM-MaUT: DRAM Address Mapping Unveiling Tool for ARM Devices
Anandpreet Kaur, Pravin Srivastava and Bibhas Ghoshal International Conference on Compilers, Architecture, Synthesis for Embedded Systems (ESWEEK-CASES) [Download]
[J] [CDT, Wiley ] Machine learning guided thermal management of Open Computing Language applications on CPU-GPU based embedded platforms
Rakesh Kumar and Bibhas Ghoshal IET Computers & Digital Techniques Journal, Wiley, Volume 17 [Download]
[J] [MICPRO, Elsevier] Learning Based Application Driven Energy Aware Compilation for GPU
Akash Sachan, Pravin Srivastava and Bibhas Ghoshal Microprocessors and Microsystems Journal, Elsevier, Volume 94 [Download]
[J] [IEEE Access] An Embedded Platform-as-a-Service facilitating research on Thermal Management of Embedded Platforms,
[J] [Integration, Elsevier]Application Driven Routing for Mesh Based Network-on-Chip Architectures
Ankur Gogoi, Bibhas Ghoshal, Rakesh Kumar, Akash Sachan and Kanchan Manna,
Integration, the VLSI Journal, Elsevier, Volume 84 [Download]
2021
[P] [HiPC-SRS] Application Driven Energy Efficiency in Embedded GPUs
Akash Sachan, Rakesh Kumar and Bibhas Ghoshal International Conference on High Performance Computing, Data and Analytics (HiPC) Student Research Symposium (SRS) [Download Poster ]
[J] [JSA, Elsevier] Learning Based Compilation of Embedded Applications Targeting Minimal Energy Consumption
Akash Sachan and Bibhas Ghoshal Journal of Systems Architecture, Elsevier, Volume 116 [Download]
[J8] [Software, Wiley ]Automated Class Diagram Elicitation Using Intermediate Use Case Template
Shweta, Ratna Sanyal and Bibhas Ghoshal IET Software, Wiley, Volume 15
[Download]
2020
[C] [ISLVSI]Classification and Workload Balancing of Multi-Threaded Applications on Embedded Platforms
Rakesh Kumar, Bibhas Ghoshal IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
[Download]
[J] [IEEE TVLSI] In-Field Test for Permanent Faults in FIFO Buffers of NoC Routers
Bibhas Ghoshal, Kanchan Manna, Santanu Chattopadhyay and
Indranil Sengupta, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume 24
[Download]
[C] [MIKE] Improved Community Interaction Through Context Based Citation Analysis
Baishali Saha, Tanushree Anand, Anurag Sharma and Bibhas Ghoshal International Conference on Mining Intelligence and Knowledge Exploration, 2017
Lecture Notes in Computer Science
[Download]
[J] [IEEE Access] Predicting Bone Modeling Parameters in Response to Mechanical Loading
[C] [ISED] Re-using Refresh for Self-Testing DRAMs
Bibhas Ghoshal, Chittaranjan Mandal and Indranil Sengupta International Symposium on Electronic System Design, 2013
[Download]
[C] [DSD] A Distributed BIST Scheme for NoC-Based Memory Cores
Bibhas Ghoshal and Indranil Sengupta Euromicro Conference on Digital System Design, 2013
[Download]
[C] [VDAT]PSO Based BIST Design for Memory Cores in Mesh Based NoC
Bibhas Ghoshal, Subhadip Kundu, Indranil Sengupta and Santanu Chattopadhyay International Symposium on Progress in VLSI Design and Test, 2012
[Download]
Book Chapter
Application-Driven Fault Identification in NoC Designs
Ankur Gogoi and B Ghoshal
In book: VLSI and Hardware Implementations Using Modern Machine Learning Methods
CRC Press, pp.79-96, 2021 [ Download ]
Books
Impoved Test Techniques for Network-on-Chip Based Memory Systems
Bibhas Ghoshal
LAP LAMBERT Academic Publishing, 2016
ISBN-10: 3659928976; ISBN-13: 978-3659928970
[Purchase at Amazon]
Project Title : Power Aware
Compiler for Embedded Processors Sponsor: Ministry of Human Resource and
Development, Govt. of India, under the IMPRINT India Program Role : Principal Investigator Co-Principal Investigator :
Professor Indranil Sengupta , Professor,
Dept. of CSE, IIT KGP Department : Department of Information
Technology, IIIT Allahabad Total Budget : 40.42 Lakhs Duration : 2017-2021
Project Title : Research Constrained AI Project Type : Consortium Project Sponsor: Ministry of Electronics and Information Technology (MeitY) Partnering Institutions: CEERI Pilani ( PI of the project), IIT Jodhpur, IIT Indore and IIIT Allahabad Role : Principal Investigator for the part to be carried out at IIIT Allahabad Department : Department of Information
Technology, IIIT Allahabad Total Budget : 39.82 Lakhs (for IIITA) Tenure : 3 years
Computer System Lab @ IIIT Allahabad
Computer
System Laboratory has been established with the aim to develop an
independent research wing specialising in areas of embedded system, high
performance computing, parallel/distributed systems,
energy efficient systems, security aware systems. In
addition, the lab supports studies in other branches of
computational science and electrical engineering such as
artificial intelligence, machine learning, supercomputing,
VLSI, CAD, and computer architecture. The research focus
of the Computer Systems Lab is both experimental and
theoretical, encompassing major domains of computer
science.
I am also the member of the Centre for Cognitive Computing at IIIT Allahabad. Please visit the Website for details.
PhD Completed
Ankur Gogoi, 2024
Title : Exploration of Design Approaches for Performance Aware and Fault Tolerant Network-on-Chip Architectures
Present Affiliation : Assistant Professor, Galgotia University
Akash Sachan , 2023 Title : Energy Aware Compiler Optimization Techniques for Embedded Platforms
Present Affiliation : Assistant Professor, Galgotia College of Engineering
Rakesh Kumar , 2023 Title : Thermal Aware Software Techniques and Tools for Embedded Systems
Present Affiliation : Assistant Professor, NIT Jamshedpur
Shweta, 2021 ( Co-Supervisor : Dr. R. Sanyal ) Title : Structural Modelling of Software Functional Requirements Based on NLP
Present Affiliation : Assistant Professor, NIT Calicut
Thesis Submitted
AnandPreet Kaur Title : Exploration of Row Hammer Attacks on Embedded Devices
PhD Pursuing
Pravin Srivastava Tentative Title : Study of RuneTime Attestation Techniques for Embedded Devices
Deepak Kukreja Tentative Title : Exploration of Computer Vision Applications on Resource Constrained Devices
Talks / Seminars / Presentation
2022
VLSI Architectures for AI Applications Faculty Development Talk [Slides on Request]
IoT Security : Challenges and Future Directions Faculty Development Talk [Slides on Request]
2021
Securing Cyber Physical Systems Faculty Development Talk [Slides on Request]
2020
Coordinated and Delivered Lectures on
FDP on Internet of Things
Sponsored by AICTE ATAL Academy
