Help In Writing Dissertation

Help In Writing Dissertation

For dissertation research, simulation tools play an important role in several domains which authorize the investigation, evaluation and visualization of complicated situations and systems which are typically complex to analyze without the help of simulation tools. So get stress free research experience by working with us we fulfill all your essential needs by completing all task within the prescribed time. Our writers will never miss out any of your details as frequent revisions take place errors will be avoided. Based on your particular research area and necessities, we will guide you to select the simulation tools with full guidance.

Over various fields, we offer a general list of utilized simulation tools:

Engineering and Physics

  1. MATLAB & Simulink: We extensively accomplished this for performing mathematical modeling, algorithm development and data analysis.
  2. ANSYS: Our work incorporates ANSYS for appropriate element analysis, computational fluid dynamics and many more.
  3. COMSOL Multiphysics: For the purpose of simulating physical processes and phenomena, this is deployed by us.

Computer Science and Information Technology

  1. NS2/NS3 (Network Simulator): This is utilized for us in simulating network protocols and communication networks.
  2. OPNET: Especially, we established OPNET for network modeling and simulation.
  3. OMNeT++: It is flexible and for constructing the network simulators, component -based C++ simulation library and framework is applied specifically.

Economics and Social Sciences

  1. NetLogo: This is a multi-agent programmable modeling environment and it serves a main role in simulating natural and social phenomena.
  2. STATA: We broadly apply STATA in statistical analysis which involves econometric modeling.
  3. R (with simulation packages): To perform statistical computing and graphics for us, this provides several packages that include simulation techniques.

Health Sciences

  1. SAS: Statistical analysis software, which we frequently employed in clinical trial data analysis.
  2. AnyLogic: It is a multi-method simulation modeling tool which is accomplished for healthcare system simulations.
  3. SPSS (Statistical Package for the Social Sciences): In the field of social science, SPSS play a great role and now it is also extensively applied in health sciences.

Environmental Sciences

  1. ArcGIS: This is mainly exerted to geographic information system (GIS) for working with maps and geographic details.
  2. MODFLOW: It is software that we accomplished for simulating groundwater flow.
  3. HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model): We use HYSPIT for air quality simulations and environmental impact modeling.

Architecture and Urban Planning

  1. SketchUp with V-Ray: This is hired by us in 3D modeling of architectural designs with practical performance.
  2. AutoCAD: It is a software application particularly for computer-aided design (CAD) and drafting.
  3. Revit: We apply Revit for the purpose of Building Information Modeling (BIM) for architects and structural engineers, etc.


  1. X-Plane or Microsoft Flight Simulator: We make use of X-plane for flight simulation research.
  2. OpenVSP (Vehicle Sketch Pad): This is a parametric aircraft geometry tool.
  3. Astrodynamic Standards and Orbital Mechanics Software: These standards and software’s help us in space mission planning and analysis.

Selecting a Simulation Tool:

  • Specific Needs: In terms of capability and accuracy, select a tool that coordinates with your requirements.
  • Usability: The learning period and user assistance for the tool must be examined.
  • Data Compatibility: Assure that, whether the accomplished data formats are performing well.
  • Budget: Yet it contains several free versions or student licenses, the cost of software is considered.
  • Community and Support: If there’s an effective user community or assist network for the tool, then verify which is worthwhile for problem-solving and suggestions.

Which topic is best for dissertation?

Regarding your academic field, interests, skills and the specific demands of your academic program, you can select the “best” topic for your dissertation. Although a powerful dissertation topic involves definite features. We are here to guide you about the features which include in writing an effective dissertation for selecting a topic:

  1. Relevance: You must select a topic that must be suitable to your field of study and preferably it must contribute something novel or mention a gap in current research.
  2. Interest: Choose an interesting topic that motivates you throughout the project. Specifically when you deal with the obstacles of long term research, your enthusiasm for the project boosts you to overcome the issues.
  3. Feasibility: The workability of your topic is must be reviewed. Are you capable to finish the research within the provided time bound and with the resources available to you?
  4. Originality: Your selected topic must permit for original research or novel aspects on the current topic.
  5. Scope: Make sure that your chosen topic is not too extensive or too short. A topic which is huge, it may contain irrelevant details and a short topic does not provide the deeper understanding and missing of sufficient details.
  6. Academic and Professional Value: Give importance to the topic that ensures your career and educational growth.

Across different domains, we consider the below topic ideas that assist you in discover the followings:

Business and Management

  • The effect of remote work on organizational culture.
  • Tactics for maintaining entrepreneurship in the digital era.


  • The consequences of e-learning methodologies post-COVID-19.
  • Comprehensive education methods in primary schools.


  • Enhancements in renewable energy technologies.
  • The role of AI in advancing construction project management.

Health Sciences

  • Mental health findings of pandemic-related social isolation.
  • The impact of telemedicine facilities.


  • The effect of social media on adolescent mental health.
  • Cognitive-behavioral therapies for anxiety disorders.

Environmental Science

  • Climate change mitigation tactics in urban planning.
  • The effectiveness of agricultural methods on biodiversity.

Information Technology

  • Cybersecurity demands in cloud computing.
  • The role of blockchain technology in data privacy.


  • The consequences of AI (Artificial Intelligence) on intellectual property rights.
  • Comparative analysis of data privacy regulations in digital media.


  • Postcolonial themes in modern African literature.
  • The development of history in digital literature.


  • Social consequences of global migration trends.
  • The role of social media in current protest movements.
Guidance in Writing Dissertation

Dissertation Simulation Tools Guidance

Dissertation Simulation Tools Guidance will be given on how to use the tool, its methodologies along with a clear-cut explanation is offered from we will guide you throughout the entire process. No matter if you are struck up with how to use the simulation tools, we make use of trending methodologies so that desired result can be achieved.

  1. Genes Software-extended and integrated with the R, Matlab and Selegen
  2. Getting started with MATLAB: a quick introduction for scientists and engineers
  3. JMASM 49: a compilation of some popular goodness of fit tests for normal distribution: their algorithms and MATLAB codes (MATLAB)
  4. Digital signal processing: an introduction with MATLAB and applications
  5. MATCONT: a MATLAB package for numerical bifurcation analysis of ODEs
  6. Algorithm 902: Gpops, a matlab software for solving multiple-phase optimal control problems using the gauss pseudospectral method
  7. Image processing with MATLAB: applications in medicine and biology
  8. A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D
  9. Numerical methods with MATLAB: implementations and applications
  10. An introduction to programming and numerical methods in MATLAB
  11. Computational intelligence paradigms: theory & applications using MATLAB
  12. SDPT3—a MATLAB software package for semidefinite programming, version 1.3
  13. UMA-560 robot manipulator position computed torque control methods using Matlab/Simulink and their integration into graduate nonlinear control and Matlab …
  14. PPSOt-a particle swarm optimization toolbox for use with Matlab
  15. Algorithm 808: ARfit—A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models
  16. Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs
  17. Financial modelling: Theory, implementation and practice with MATLAB source
  18. Development of generalized photovoltaic model using MATLAB/SIMULINK
  19. An extension of MATLAB to continuous functions and operators
  20. A 199-line Matlab code for Pareto-optimal tracing in topology optimization
Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
RTOOL 13 15 8
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
VIRL 9 9 8
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
ONESIM 5 10 5
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9

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