Research Areas: Information Systems, Decision Support Systems, Predictive Analytics,
Technology Areas: AI/ML & Systems, Distributed Analytics, Distributed Systems, Edge Computing
Specific Technologies: Federated Learning, Reinforcement Learning, NOSQL, multi-UAV systems
Subhajit is actively seeking for collaborations with the industry and academia. The preferred mode of collaboration is through a joint funded proposal to begin with. Any other forms of joint projects, workshops, or exchange programs are also most welcome.
Subhajit is always in the lookout for enthusiastic and serious PhD, MTech, and BTech student to work in the areas of Machine Learning (ML) for Systems, Multi-UAV Systems, and Internet of Things (IoT). Interested Ph.Dstudents are requested to apply formally through the IIT Kharagpur online application system
Subhajit is an Assistant Professor with the Department of Industrial and Systems Engineering at Indian Institute of Technology, Kharagpur, working in the area of edge computing, data analytics, distributed systems, and cloud computing. Before joining IIT Kgp, Subhajit was an Assistant Professor with the Department of Computer Science and Engineering at Indian Institute of Technology, Bhilai, and before that Indian Institute of Technology, Jodhpur. Before this, Subhajit was a Postdoctoral Researcher working with the Distributed Systems research group at INESC-ID affiliated with University of Lisbon. He was working on a project funded by the European Research Consortium to develop a theoretical model of consistency and isolation levels of distributed systems under the supervision of Professor Rodrigo Rodriguez. Subhajit completed his Phd in Computer Science from Louisiana State University in August 2016. His dissertation was titled "The performance trade off and SLA awareness in cloud computing and distributed datastores". Subhajit publishes in top conferences and journals such as SRDS, CCGRID, IEEE CLOUD, IEEE SCC, etc.
Subhajit also has 4 years of experience as software developer at IBM and PWC India, in java, databases, and internet technologies.
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Orc_id: https://orcid.org/0009-0001-1023-3452
Yogesh Simmhan, Indian Institute of Science, DREAM Lab
Nirnay Ghosh, Institute webpage
Supratik Mukhopadhyay, Louisiana State University
Sushanta Karmakar, IIT Guwahati personal website
Reviewer for 2019 IEEE Wireless Communications and Networking Conference (WCNC)
Reviewer for IEEE Transaction on Computers
Co-chair Organizing Committee of AGRINETS 2020 collocated with ICDCN 2020
Treasurer and Organizing Committee member of Industry Academia Conclave at IIT Bhilai
PC co-chair of Indosys 2019 onwards
Program Committee member for IEEE Services Computing 2019
Summer 2019: Organizer of Workshop on Data Science and Artificial Intelligence (WDSAI '19), IIT Bhilai
Reviewer for IEEE Transaction on Cloud Computing(TCC)
Sub reviewer for 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2016)
Edge/Fog Computing
Artificial Intelligence
Internet of Things
Distributed storage
Data consistency and isolation levels.
Client centric performance of distributed systems
Performance modelling/optimization of big data processing systems
Resource optimization in cloud and fog
Our paper titled Reinforcement Learning for Real-Time Federated Learning for Resource-Constrained Edge Cluster has been accepted in JNSM. Congratulations to my Ph.D student Kolichala Rajashekar.
Our BTech Honors student Saptarshi Mukherjee's, now working in Google India, paper titled "AMAS: Adaptive Auto-Scaling for Edge Computing Applications", has been accepted for publication in Multimedia Tools and Applications.
Facility Layout and Process Selection
Work Measurement: Motion Study, Time Study and Compensation
Computerised Work Measurements
Anthropometry and Musculoskeletal Disorders
Thermal Regulations for Physical Design
Design of Modern Work Environment
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Case Study 1: Lighting Control System Design Using VR/ML
Book by Heizer (For practice especially)
Industrial Management Text Book (easy read)
Project Management
Management of Waiting Lines: Queueing Models
Midterm syllabus: Numerical/analytical/mathematical Problems from Production Productivity, Project management, Management of Waiting Lines: Queueing Models
Strategic Capacity Planning for Products and Services
Process Selection and Facility Layout
Location Planning and Analysis
Endterm syllabus: Numerical/analytical/mathematical Problems from Work Design and Management, Strategic Capacity Planning for Products and Services, Quality Management, Quality Control, Supply Chain Management, Inventory Management, Scheduling, Process Selection and Facility Layout
PySpark Jupyter notebook on Docker
https://dev.mysql.com/downloads/installer/
https://sqlyog.en.download.it/
Object Oriented Programming: Introduction (6)
Polymorphism I (8)
Polymorphism II (9)
Virtual (10)
PRIOR COURSES---------------------------------------------------------
References:
Tenenbaum Distributed Systems Textbook
Hadoop: Definitive Guide 4th Edition
Lecture Materials:
References:
Galvin Operating Systems Textbook
Tenenbaum Distributed Systems Textbook
Lecture Materials:
Introduction (1)
References:
Galvin Operating Systems Textbook
Lecture Materials:
References:
Lecture Materials:
Introduction (1)
Axiomatic Semantics (2,3,4,5)
Polymorphism I (8)
Polymorphism II (9)
Virtual (10)
Operator Overloading (11)
Tierce 1
Attribute Grammar (12,13, 14)
Midsem break
Operational Semantics (15, 16, 17)
Prolog (22)
Backtracking and Cut (22)
Tierce 2
Types (18, 19)
Denotational Semantics (25, 26, 27)
ML (20)
OCAML (21)
Erlang (23)
Scalaris (24)
scalaris/main.pdf at master · scalaris-team/scalaris · GitHub
Sample Exercise Questions for Tierce 2
Slide 1
Office Hours (Room Number 212):
Monday-Friday 3-4 PM
References:
Lecture Materials:
References:
Lecture Materials: