Dr. Debjani Mustafi

Assistant Professor, Computer Science and Engg

Dr. Debjani Mustafi
Assistant Professor, Computer Science and Engg
Ph.D, MCA		 Contact Address
Permanent Address Flat No. G3 Block A, Anandomani Apartments, Jatin Ch. Road, Besides Hotel Landmark Lalpur, Ranchi, Jharkhand-834001, India.
Local Address Quarter No. D I/52 Near Hostel 9, Inner Campus, BIT Mesra, Ranchi, Jharkhand-835215, India
Phone (Office) 2275444
Phone Residence 9955450060
Email Id debjani.mustafi@bitmesra.ac.in
Joined Institute on : 13-Jan-2007
  Work Experience
Teaching : 13 YearsResearch : 11 YearsIndividual: 2 Years

 
  Professional Background
  • Worked previously as System Analyst at BIT, Mesra under the World Bank TEQIP  scheme from 2007 -2009.
  • Worked as Lecturer in the Department of Computer Science, Siliguri College, West Bengal Aug. 2001- Nov. 2003. 
  Research Areas
My current research is in the field of Information and Image Retrieval from Document Corpus, Analysis of Nature Inspired Algorithm and Document Clustering.  
  Award and Honours
Best Paper award in 6th International Conf. on Nano Electronics Circuits & Communication Systems, 2020 for presenting the paper “Advancement of Image Captioning: A Comprehensive Survey”.
  Publications
2021

Masroor F., Bhattacharjee V., Mustafi D., A Fuzzy Logic Approach for Software Cost Prediction, In proceedings of  4th International Conference on Microelectronics, Computing and Communication Systems 2021, Springer (Pp. 379-389).

2020

 Mustafi D., Mustafi A., Sahoo G., A Novel Approach to Text Clustering using Genetic Algorithm Based on the Nearest Neighbour Heuristics, International Journal of Computers and Applications, Taylor & Francis Vol. 42, Pp.1-13, 2020.

Bhattacharjee N., Mustafi D., Bhattacharjee V., A Big Data Architecture for Health Care, International Journal of Engineering & Research Technology, Vol. 9(4), Pp.108-112, 2020

Mustafi D., Bhattacharjee V., Bharti J., Advancement of Image Captioning: A Comprehensive Survey, 6th International Conf. on Nano Electronics Circuits & Communication Systems (IEEE Sponsored) 2020(In Press)

2018

 Mustafi D., Sahoo G., A Hybrid Approach using Genetic Algorithm and Differential Evolution Heuristic for Enhanced Initialization of the K-Means Algorithm with Applications in Text Clustering, Soft Computing Vol. 23, Pp. 6361- 6378, Springer Publications.

 2016

Mustafi D., Sahoo, G., Mustafi, A., A multi criteria document clustering approach using genetic algorithm. Advances in Computational Intelligence, Vol. 1, Springer, Pp. 237–247, 2016

Mustafi D., Sahoo, G., Mustafi, A. “An improved Heuristic K- Means clustering method using Genetic Algorithm based initialization”, Computational Intelligence in Data Mining-Volume 1, Springer, Pp. 123-132, 2016.

2013

Prakash A. and Mustafi D., “Fuzzy Logic Approach to Combat Web Spam with TrustRank”, International Journal of Innovative Research in Computer and Communication Engineering, Vol 1, Issue 4, Pp. 1100-1106, ISSN 2320-9798
  Current Sponsored Projects
 “Investigation of  Document Clustering using Nature based algorithm in an optimized vector space” (Internal project sponsored under BIT seed money scheme). Total value of Rs. 0.8 Lacs. 2015-2017.

RACHEL HPC FACILITY Resource Usage Policy

Policy Overview

Date: 11 March 2026

The Rachel High Performance Computing (HPC) Facility provides shared computational infrastructure to support the research, teaching, and scholarly activities of the institution. To ensure equitable access and the efficient utilization of these resources, all registered users are required to read, understand, and comply with the provisions set out in this Policy. These guidelines are effective immediately upon account activation and apply to all submitted workloads, stored data, and system interactions.

ParameterLimit / Requirement
Maximum Job Runtime120 hours (5 consecutive days)
Per-User Storage Quota150 GB (unauthorised use prohibited)
Job MonitoringUser's ongoing responsibility
Storage MaintenancePeriodic review & cleanup required
Non-Compliance ActionJob termination / access suspension

Job Runtime Limit

No user shall be permitted to execute any computational job on the Rachel HPC cluster for a continuous period exceeding total 120 hours (CPU-5 consecutive days or GPU-3 consecutive days). Jobs that approach or exceed this threshold will be subject to administrative intervention, including automatic or manual termination, to preserve system availability for all users.

Users requiring extended runtime beyond the standard limit must submit a written request to the System Administrator prior to job submission, providing scientific justification and an estimated resource budget.

Storage Utilization Limit

Individual users shall not utilize more than total 150 GB (for CPU nCPU-12 Core & for GPU nGPU-6 Core) of storage on the Rachel HPC system without prior written authorization from the System Administration team. This quota encompasses all personal directories, project workspace, and temporary scratch areas associated with the user account.

The following storage hygiene practices are mandatory:

  • Removal of completed job output files that are no longer required for active analysis.
  • Deletion of temporary, intermediate, and scratch files upon job completion.
  • Regular archival of results to institutional long-term storage systems.
  • Prompt response to storage-usage alerts issued by System Administration.

Fair Resource Usage

All users are expected to exercise good judgement in their use of Rachel HPC resources. Users shall not monopolies CPUs, memory, network bandwidth, or storage in a manner that disrupts or prevents other researchers, faculty members, or students from accessing the facility.

Submitting large numbers of simultaneous jobs that saturate the scheduler queue without scientific necessity, or deliberately circumventing resource allocation controls, constitutes a violation of this Policy.

Job Monitoring Responsibility

Users bear full responsibility for monitoring all jobs they submit to the Rachel HPC scheduler. This responsibility includes:

  • Regularly checking job status, output logs, and resource-consumption metrics.
  • Promptly terminating any job found to be stalled, malfunctioning, or producing incorrect results.
  • Ensuring that submitted jobs do not run beyond their stated resource requirements.

Users who are unable to actively monitor a job due to absence or other commitments should make arrangements for a designated colleague to assume monitoring responsibility, or should limit job scope accordingly.

Storage Maintenance

Users shall periodically review their allocated storage space and proactively remove unnecessary files, redundant datasets, temporary data, and intermediate outputs. Maintaining adequate free capacity on the Rachel HPC storage systems is a shared responsibility that directly impacts the productivity of all users.

System Administration may issue storage-usage warnings when a user's allocation approaches the permitted quota. Users are expected to respond to such warnings within five (5) working days by reducing their storage footprint to within the authorized limit.

Policy Compliance

All users of the Rachel HPC facility are required to comply with the provisions of this Policy as a condition of continued access. Compliance is the personal responsibility of every account holder.

⚠  Non-Compliance & Administrative Authority Failure to comply with any provision of this Policy may result in the immediate termination of running jobs, restriction of computational resource allocations, or temporary suspension of access privileges to the Rachel HPC facility. The System Administrator reserves the right to terminate any user process deemed to be making undue or excessive use of system resources, without prior notice, in order to maintain overall system stability and equitable access for all users.

                                                                                                                              

Signature of HOD (CSE)