Debashis Das, Ph.D.
Debashis Das, Ph.D.
Post-doctoral Research Associate
'Meharry Medical College, Nashville, TN, USA'
Post-doctoral Research Associate
'Meharry Medical College, Nashville, TN, USA'
(Since January 3, 2024)
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'Meharry Medical College, Nashville, TN, USA'
I have over 2 years of teaching experience, during which I have covered a variety of subjects including Distributed Systems, Distributed Operating Systems, Cryptography and Network Security, and AI/ML.
I have over 2 years of teaching experience, during which I have covered a variety of subjects including Distributed Systems, Distributed Operating Systems, Cryptography and Network Security, and AI/ML.
Jun 2023–Dec 2023: Assistant Professor
Jun 2023–Dec 2023: Assistant Professor
Department of Computer Science & Engineering, Narula Institute of Technology.
Department of Computer Science & Engineering, Narula Institute of Technology.
Jun. 2019- Aug. 2023: University Research Scholar (including Ph.D.)
Jun. 2019- Aug. 2023: University Research Scholar (including Ph.D.)
Computer Science & Engineering, University of Kalyani.
Computer Science & Engineering, University of Kalyani.
Jan. 2020- Feb. 2021: Visiting Faculty
Jan. 2020- Feb. 2021: Visiting Faculty
Computer Science & Engineering, Kalyani Government Engineering College.
Computer Science & Engineering, Kalyani Government Engineering College.
PEC-IT601B: Distributed Computing
PEC-IT601B: Distributed Computing
Term: Spring
Term: Spring
Offered: 2020
Offered: 2020
Distributed Systems Architecture, Communication Models, Distributed Algorithms, Concurrency and Synchronization, Distributed Data Storage and Retrieval, Fault Tolerance, Scalability, Distributed Process Management, Distributed File Systems, Middleware and Object Request Brokers (ORBs), Distributed Security and Authentication, Load Balancing, Replication Strategies, Consensus Algorithms, Peer-to-Peer Systems, Cloud Computing and Distributed Computing, Case Studies of Distributed Systems.
CS801D: Cryptography and Network Security
CS801D: Cryptography and Network Security
Term: Spring
Term: Spring
Offered: 2021
Offered: 2021
Cryptography Basics, Encryption Techniques, Symmetric Cryptography, Asymmetric Cryptography, Public Key Infrastructure (PKI), Digital Signatures, Hash Functions, Message Authentication Codes (MACs), Cryptographic Protocols, Network Security Principles, Firewalls, and Intrusion Detection Systems (IDS), Virtual Private Networks (VPNs), Secure Socket Layer/Transport Layer Security (SSL/TLS), Security Protocols (e.g., IPsec), Wireless Network Security, Security in IoT Devices, Cyber Threats and Attack Vectors, Security Policies and Compliance, Incident Response and Management.
(CS704A): Distributed Operating System
(CS704A): Distributed Operating System
Term: Summer
Term: Summer
Offered: 2020
Offered: 2020
Distributed Systems Concepts, Distributed Operating System Architecture, Communication Models in Distributed Systems, Process Synchronization and Coordination, Distributed File Systems, Distributed Memory Management, Distributed Process Management, Distributed Deadlock Detection and Resolution, Distributed Resource Allocation and Load Balancing, Fault Tolerance and Reliability in Distributed Systems, Distributed Transactions and Concurrency Control, Distributed Security and Authentication Mechanisms, Middleware and Object Request Brokers (ORBs), Case Studies of Distributed Operating Systems.
PEC-CS503B: Artificial Intelligence/Machine Learning
PEC-CS503B: Artificial Intelligence/Machine Learning
Term: Spring
Term: Spring
Offered: 2023
Offered: 2023
Introduction to Artificial Intelligence, Problem-solving using Search Algorithms, Knowledge Representation and Reasoning, Machine Learning Basics, Supervised Learning Algorithms (e.g., Linear Regression, Decision Trees, Support Vector Machines), Unsupervised Learning Algorithms (e.g., Clustering, Principal Component Analysis), Neural Networks and Deep Learning, Reinforcement Learning, Natural Language Processing (NLP), Computer Vision, Bayesian Networks, Genetic Algorithms and Evolutionary Computation, AI Ethics and Fairness, AI Applications and Case Studies.
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