PhD Computer Science Research Topics after MCA

Will you please share with me the list of some of thee best PhD Computer Science Research Topics after MCA?

[Raman Vij]

As you want to get the list of some of thee best PhD Computer Science Research Topics after MCA so here it is for you:

Computer Science Education
Automated assessment of diagrams
Diagrammatic Reasoning and Understanding

Empirical Studies of Software Development
Easier Mining of Software Repositories
Motivation of software engineers
Supporting scientific software development
The emergence of Agile software development
The role of physicality and co-location in agile software development
XP and end user development

Human Computer Interaction
Computational Musicology
Dynamic models for problem tangles
Improving complex planning negotiations through groupware that assists mutual understanding
Interaction Design and Usability of Learning spaces in 3D Multi-user Virtual Worlds
IT Governance implementation
Principled Approaches to Computer Music Generation and Improvisation
Technologies to support Communication and Collaboration in Virtual Research Teams

Natural Language Processing
Automatic Dialogue Generation for Conversational Agents
Automatic Translation of Natural Language Requirements Documents into Problem Frames
Profiling Document Collections to Improve Domain-Sepcific Search Performance
Social Media and Multimedia Information Retrieval and Mining
Towards a Co-Adaptive Exploratory Search Framework

Requirements Engineering and Design
Architectural Evolution
Complexity Science and Software Development
Contextual Requirements Elicitation for Mobile Security
Decomposing Problems and Composing Solutions
Enterprise Security Modelling and Analytics
Requirements Engineering and Climate Change - Funded Studentship currently available
Software Quality
Source Code Evolution

Software Engineering and Design
Assurance-driven system engineering
Retrieval and Traceability of Changes across Heterogeneous and Co-Evolving Software Documents

I have completed MCA and now want to do Ph.D. Computer Science so please suggest me some Research Topics to select in Ph.D. Course?

[Arun Vats]

Here I am suggesting you some Research Topics to select in Ph.D. Computer Science Course.

Ph.D. Computer Science Research Topics:
• Cognitive Science
• Computer Vision
• Data Mining
• Evolutionary Computing
• Human-Computer Interaction
• Imagine Processing
• Information Retrieval
• Knowledge Representation
• Machine Learning
• Natural Language Processing
• Pattern Recognition
• Robotics

Other Ph.D. Computer Science Research Topics:
• Algorithms and system for identifying a person by biometric parameters;
• Architecture of information systems and information interaction;
• Artificial neural networks in control systems and digital media;
• Automation and control of technological processes and production;
• Automation of scientific research, image processing and pattern recognition;
• Automation of technological processes and production (by industry);
• Automation Systems Design;
• Computer-aided design in electronics and mechanical engineering;
• Computer analysis of the different physical structures, optimization of their parameters, the simulation of adaptive algorithms;
• Computers and systems;
• Components and devices of computers and control systems;
• Computational geometry algorithms and image processing;
• Corporate information management systems;
• Databases and knowledge bases;
• Data protection and information security systems and networks;
• Design automation systems;
• Design methods of intelligent tools for collecting and processing information;
• Devices and methods for measuring;
• Differential Equations;
• Digital Signal Processing;
• Discrete Mathematics and Mathematical Cybernetics;
• Electrical equipment and systems management;
• Elements and devices of computers and control systems;
• GIS technology;
• Hardware and software embedded systems;
• Hardware and software implementation of complex algorithms;
• High task-oriented parallel computing;
• Intellectual and agent technologies;
• Integrated information management systems engineering data and product lifecycle;
• Information-measuring and control systems Mathematics and software of computers, systems and Computer networks;
• Intelligent systems and technologies;
• Information technology in management and systems research;
• Information Technology in Education;
• Information technology for special purposes,
• Management and diagnostics based on Neuro – Fuzzy technologies;
• Management in the structure – complex dynamic systems;
• Mathematical modeling, numerical methods and software;
• Methods and systems for information security, information security;
• Models, methods and tools of analysis of performance and reliability of software systems;
• Methods and software for virtual reality systems;
• Models and methods of decision making, optimization and simulation,
• Multimedia systems and computer graphics;
• Parallel processing of data;
• Pattern recognition and image processing;
• Real-time systems;
• Software for monitoring computer systems;
• System analysis, management and information processing (by industry);
• Technology development of software systems;
• Technologies and methods of distributed systems to analyse data and processes;
• Technology open-source software;
• Telecommunication systems and computer networks;
• Telecommunication technologies, multimedia technology, WEB-technologies;
• The identification of signals and analysis of dynamic scenes
• Theory and methods for building functional converters
• Automated control systems of seamless process flows (TPU)
• Digital signal processing (TPU)
• Information systems and technologies (TPU)
• Enterprise information systems (EIS) (TPU)
• Business process management systems (BPMS) (TPU)
• Life cycle management on the basis of CALS technologies (TPU)
• System management, simulation modeling of complex systems (TPU)
• Analysis and design of control systems of objects with interval uncertainty (TPU)
• Geoinformation systems for distributed enterprise management, remote sensing data advanced processing (TPU)
• Computing intelligence to recognize image and video data (TPU)
• Automation control theory (TPU)
• Mathematical representation, fundamental properties and modeling of control objects and systems (TPU)
• Mobile objects control (TPU)
• Modeling and business process reengineering (TPU)
• Mechatronics, robotics and control, control self-tuning systems of objects with concentrated and distributed parameters (TPU)
• System analysis and business process reengineering (TPU)
• Design of enterprise information systems on the basis of networks and telecommunications (TPU)
• Neural network technologies in information processing (TPU)
• Development of information system on the basis of ontological approach and semantic technologies (TPU)
• Computer modeling of designing processes and development control of oil-and-gas fields (TPU)
• 3D-modeling and imaging of compound elements and systems (TPU)
• Algorithms and software for increase of technology resource efficiency on the basis of 3-D modeling (TPU)
• Aspects of methodology for teaching graphics and development of competencies for designing. Estimation of efficiency (TPU)
• 3D Digital Simulation Technology of Oil and Gas Fields (TPU)
• Optimization of geometrical parameters of cutting tools (TPU)
• Modification of cutting tools and machine components coating surface (TPU)
• Research and development of assembly instruments with removable polyhedral plates (TPU)
• Components processing by clear plastic deformation (TPU)
• Computer systems for metrological analysis and measurement of production processes parameters (TPU)
• Signal theory, processing and generation (TPU)
• Software for instrument technology (TPU)
• Precision inductance dividers, nanovolt-measurement (TPU)
• Metrological supervision of electrical power meters (TPU)
• Measurement theory (TPU)
• Digital colorimetric analysis of materials and their metrological supervision (TPU)
• AC voltage calibration devices (TPU)
• System analysis, management and information processing (by industry) (MIPT)
• Automation and management of technological processes and manufactures (by industry) (MIPT)
• Management in social and economic systems (MIPT)
• Mathematical and software of computers, complexes and computer networks (MIPT)
• Computer-aided design (by industry) (MIPT)
• Computers, complexes and computer networks (MIPT)
• Foundations of information science (MIPT)
• Mathematical modeling, numerical methods and complexes of programs (MIPT)
• System Analysis, Management and Information Processing (Industry, Information Technologies) available in English
• Elements and Devices of Computer Facilities and Control Systems. available in English
• Mathematical Software for Computers, Complexes and Computer Networks. available in English
• Mathematical Simulation, Numerical Computing and Software Systems. available in English
• Information Security Products and Systems. available in English

Can you list me some good Research Topics for making PhD Projects on Computer Science & Information Technology subject?

[Neelu Bhasin]

Some good Research Topics for making PhD Projects on Computer Science & Information Technology subject are as follows:


Increasing Access to Computer Science for Blind Students


Designing and Evaluating Information Gathering Robots


Learning Robust Tractable Models for Vision


Comprehensive analysis of RNA sequencing experiments


Manipulators And Manipulation In High Dimensional Spaces


Reproducible measurements of web security and privacy


Intelligent Crowdsourcing for Natural Language Learning and Other AI Applications


Improving Fault Tolerance and Performance of Data Center Networks


Towards More Practical Reinforcement Learning, with Applications to Educational Games


Digital Pathology: Diagnostic Errors, Viewing Behavior and Image Characteristics


New Algorithmic Tools for Distributed Similarity Search


In-situ Semantic 3D Modeling


Capturing and Visualizing Persona Through Faces


The Security and Privacy of Web and Mobile Advertising


Emotion classification of YouTube videos


Data Security Enhancement in Public Cloud Storage Using Data Obfuscation and Steganography


Accountable autonomy of software agents


Complex Norm Synthesis via Deep Learning


Explainable Autonomous AI Systems


Generating persuasive messages with controlled attributes for people with mental health conditions


Integrating structured knowledge with Machine Learning Representations


Topological methods for image recognition


Fast, reliable and secure wireless IoT chaos-based communication


The mathematics behind the smartness of neural networks


Sustainable Marine Ecosystems and Offshore Energy: A Bayesian Modelling Approach


Automated Big data analysis


Autonomous learning with Artificial Intelligence


Ontological modelling for data analysis


Remote sensing and advanced spectral analysis for coaching and rehabilitation


Smart sensors and spectral techniques in human movement science


Durability analysis in hydrogen fuel cell vehicles


Internet Transport Methods for 5G mobile networks


Using VR to investigate the visual features that determine the effectiveness of disruptive camouflage