Project Support
Guidelines
A strong inclination towards research and a will to read research papers, understand new topics, develop research prototypes, and perform experiments will drive you to do a good project.
The most important thing to keep in mind regarding project is that it should be fun! - You have to want to do it, enjoy doing it, and be proud you did it. Should this cease to be the case; you should seek help to get back on track. There is nothing worse than pursuing a project which is going nowhere; you will come to hate it, do a poor job, and feel badly about yourself.
Define the project within the first month of receiving the project. Use this time to determine the resources required to arrive at a satisfactory conclusion to your activities. This includes both human (your time and required effort) and material resources.
A comprehensive survey of relevant, scholarly literature is essential to clarify your project ideas. Reviewing literature also helps to identify what was done previously and so directs the new and original paths that you can take. During your intense and wide reading make sure to keep detailed notes, including bibliographic references, to which you can easily refer as the need arises.
Typically, students defer the bulk of their project till the end of the semester; this approach is characteristic of poor project management and is not at all advised. Instead, students should try to work at a steady pace throughout the semester.
Your job will be made easier if the project can be decomposed into a sequence of significant steps or milestones. Your supervisor should verify these milestones as soon as they are achieved. With this approach you will have some definite results, if you are unfortunate enough to run out of time.
Remember that the supervisors are busy with their work. They will help but will expect you to do your own groundwork.
Ideation
Find an area to work in and read papers. Prepare an initial project specification. Discuss it with the supervisor to get suggestions and modalities. Narrow the literature search to the specifications. Extract / formulate high impact problems and finalize project specification. Submit the project proposal.
Paper Readings
Research paper
Research papers can be from a conference or a journal. Conference papers are more exploratory and explain novel or interesting areas that have not reached maturity.
Journal Article
Journal article is about a subject that has recently researched or reviewed and written by an expert in that field. Journal papers are usually more extensive and well researched, but this differs from field to field.
Survey Paper
Survey papers summarize and organize recent research results in a novel way that integrates and adds understanding to work in the field. It assumes a general knowledge of the area; it emphasizes the classification of the existing literature, developing a perspective on the area, and testing trends.
Review Paper
Reviews are deeper than surveys since they tell more details about individual works, their relationships one to another, and directions forward. Experienced researchers present comparative results from existing techniques that use different datasets for various parameters in their review papers. They express a viewpoint on how the problem is being solved in the existing literature survey and which other approaches one can use along with the logic behind using alternative algorithms.
Area of Interest
The students may have a free choice in choosing a research topic or the supervisor gives it. In either case, they have to do refinement to show their own engagement with the topic.
Try to enhance career prospects by orienting the topic towards something that could help with future employment.
Try to capitalise on your existing skills and interests and make sure it suits your preferred ways of working.
Quality vs Quantity: Keep the topic small, once the work is started, new questions will arise that could enable to take the work further. Depth (detail and significance) is highly regarded than breadth in student projects.
Workout a problem that should be able to solve within the time and resources available.
Literature Review
In research, one has to know what has already been discovered and what mysteries remain. The literature review is foundational and helps in finding an appropriate research topic and craft research questions. Through this review, you are showing that you have fully explored the research topic and chosen the particular path, leading to those particular questions, for these particular reasons. Follow the following steps:
Search Using Key Terms
Immerse Yourself in the Literature
Consider Gaps in the Research
Build a case for doing your study: Identify where the current knowledge ends and your study begins on your topic. Demonstrate that it is worthy of research, and has not already been studied. Studies on related topics help make the case that your study is relevant. Identify shortfalls to show your study is appropriate. Pay special attention to the recommendations for further research that the authors make.
Organize What You Find
Group your references by subject and methodology and find what you are looking for when you need it.
Useful Links:
Project Proposal
Having gained knowledge about your field of study, now you have to propose a project to prove your hypothesis. This proposal to demonstrate convincingly that the study will make a contribution to scientific advancement and is feasible. It must be between 5 and 10 pages and should present the following:
1. Title and Abstract
A title gives a clear indication of the proposed research approach or key question.
An abstract is a brief summary of the proposal.
Provide the main points and conclusion of the proposal.
2. Introduction/Motivation
Introduce the area of research
Brief summary of existing literature [Find a hole, Look for debates]
Review key publications on Topic, Method and Theoretical Approach
Identify any gap in the knowledge or questions which have to be answered
Hypothesis, aims and objectives
Include a brief description of the methodology
How is your research beneficial and to whom
Research Question (Problem Statement)
3. Methodology [Selection and Access, Preliminary Findings, Important categories and relationships]
How will you achieve the research aims?
Research Procedures, equipment and techniques
Kind of Data, sample size, collection procedures and analysis
Explain why it is the most appropriate methodology to effectively answer the research question.
Justify the methodology by explaining what alternatives have been considered and why these have been disregarded.
4. Scope of the Research
How the research will be communicated to the wider community
Alternatives
Weaknesses
5. Summary and Conclusions [Importance]
Contributions
6. Plan of work and Time schedule
Timetable for completion of the project
7. Bibliography
Contains all of the sources that are used for this work, whether they are directly cited or not.
Useful links:
- How to Write a Good Postgraduate Research Proposal by the University of Edinburgh
- A project proposal on Security protocols for ad-hoc wireless networks by Raghava K, Gautam Sreeram P, Narendra Nath V.
- Steps to writing a successful project proposal by Univ. of Lethbridge
Design
Prepare a presentation on the area of interest. Design the project and identify the methodology to be adopted. Present the model to the supervisor and finalize it.
Design & Methodology
Design is a plan to answer your research question. A method is a strategy used to implement that plan. Design and methods are different but closely related because good design ensures that the data you get will help you answer your research question more effectively.
Design: Overall framework of the research. e.g., Survey Design
Method: How the data is collected. e.g., A questionnaire
Mathematical modelling: A mathematical model is a description of a system using mathematical concepts and language. Mathematical modelling is the art of translating problems from an application area into tractable mathematical formulations. A model may help to explain a system and to study the effects of different components, and to make predictions about behaviour.
Analyze the problem.
Formulate a model.
Solve the model.
Verify and interpret the model's solution.
Report on the model.
Maintain the model.
Useful Links:
Math Modeling: Getting Started and Getting Solutions, K. M. Bliss, K. R. Fowler, and B. J. Galluzzo, SIAM, 2014. Math Modeling: Computing and Communicating, K. M. Bliss, K. F. Kavanagh, and B. J. Galluzzo, and R. Levy SIAM, 2018. Coursera: Fundamentals of Quantitative Modeling.Analytics
Collect the data required for the project. Analyse and process the data to project requirements and implement. Discuss the final results with the supervisor.
Data Collection
Data collection is a gathering of information from various sources. Empirical research makes use of quantitative and qualitative data gathering methods. Questionnaires, surveys, and documents and records are quantitative, while interviews, focus groups, observations, and oral histories are qualitative. There can also be a crossover between the two methods.
Useful Links:data.worldRelational dataset repositoryStatLib–JASA Data ArchiveResearch Pipeline – Datasets on many different topics.GCMD – Earth and environmental sciences.UN humanitarian dataIndia data: http://data.gov.inUK datat: http://data.gov.ukUS data: http://data.govWorldbank data: https://data.worldbank.org/
Data Analysis
The data analysis is to process data for getting useful insights from it. Empirical research relies on real-world data, metrics and results rather than theories and concepts. For data collected from unique sources and methods need specific data analysis methods and tools to process and get insights from them.
Interpretation
Write a paper to publish in a journal. Present the draft report to the supervisor and finalize the report. Submit the final report to the department. Prepare the final project presentation.
Interpreting the Results
Compare the results with predictions.
Writing the paper for peer review.
Draft Report
Project Report basic structure
Introduction: An introduction to your topic.
Background to the study with a brief justification.
Statement of the problem.
Aim and objectives.
Hypothesis.
Scope of the Study.
Organisation of the report.
Review of Literature: A literature review that surveys relevant sources.
Methodology: An explanation of your research design and methods.
Results: An overview of the results of your research.
Discussion: Summary of your research.
Findings of the results and their implications.
Conclusion: It shows what your research has contributed.
Areas of further study.
References:
Sources that have been directly cited in the report.
Final Report
Preparing the report for final presentation
Coding Tips
Be careful when making major modifications and keep backups!
One of the biggest mistakes that even professional software teams make is modifying code at the last minute.
Get into the habit of documenting your code by writing small comments.
Be honest and realistic with your teammates when setting goals.
Project Students
- Geethanjali, A. (19B91D5901), ?
- Sri Harsha, V.N.V. (18B91D5929), "Crowdfunding Campaign Recommendation for Investors."
- Mounika, B. (18B91D5904), "A Deep Neural Network Model for Prediction of Crime Context using Tweets."
- Manoj Kumar, C.V.S. (18B91D5906), "Early Review Forecasting for Effective Product Recommendation."
- Kamala Kumari, C. (315275715005), "A Framework to Find Popularity of a Political Leader Using Emotion Mining."
- Abhilasha P. (314275715017), ???
- Venkatesh K. (313275715018), "Dimensionality Reduction for Soft Cosine Similarity in Text Classification."
- Dhana Lakshmi, M. (312275715017), "Co-occurrence Based Diffusion for Expert Search on the Web."
- Srihari Venkata Naresh, B. (312275715002), "Robust Module Based Data Management."
- Pavan Krishna, N. (311275715021), "Attribute-Based Third-Party Authentication in Cloud Computing."
- Raghaveni, J. (311275715025), "Scalable and Secure Sharing of PHR's in Cloud Computing Using ABE."
- Devi Santhoshi, K (310275715007), "Compression of Sensor Data in Habitat Monitoring."
- Vayunandini A. (313275720004), Thesis:
- B.M.S.B. Varma (312275720005), "Sentiment analysis (Opinion Mining)"
- Ravindra, M. (312275720030), Thesis:
- Urmila Devi, M. (310275720043), Thesis:
- Basawanth Gowd, K. (310275720003), Thesis:
- Kranthi Kumar, Ch. (309275720016), Thesis:
2023-24
- (A1): Manasa, A.L.(506), Ajith, A.(508), Jaswanth Reddy, A.(510), Sai Prasad, A.H.D.V.(514), "Alerting System for Detecting Anomalies in Biometric Images."
- (E17): Vinod, T.(5T9), Akshaya Varma, V.(5V8), Sri Hemanth Surya Teja, V.(5V1), Madhuri, K.(21B95A0508), "Securing Patient Health Records using Blockchain."
- (A1): Naveen, B.(19B91B0518), Nagaswapna, D.(545), Arun, D.(541), "Emotion Based Music Recommendation System." [Pushpa Naga Sri (19B91A0514)]
- (E12): Sravika, G.(19B91B0520), Taraka Rama Reddy, O (540), Srijana, N.(538), Mani Babu, P.(544), "Diver Drowsiness Detection."
- (E1): Hemanth Sai. K.(18B91B0523), Madhu Kiran, T. (550), Sujith Pavan Kumar, K. (530), Zahirsha, S. (546), Pavan, T. (549)," Predicting Player Performance in Cricket Matches Using Machine Learning Algorithm."
- (E13): Sravya Deepika, K. (18B91B0529), Geetha Shankar, S. (548), Naga Venkata Vishnu Raj Charan, B. (504)," Social Distance Monitoring Using Video Surveillance System."
- Naga Bhaskar, A. (17B91A0504), Jasmine, A.K. (507), Harshitha, D.V.S. (542), Prathyusha, G.G.D. (568), "Recommending Jobs Through Resume Parsing."
- Bala Tripura Sundari, B. (160102014), Sri Suma, C. (028), Tulasi Rama Sankar, G. (069), Sonu Sathvk, E. (061), "Image Caption Generation System"
- Kishore, S.P. (313175710149), Deepika, V.K. (212), Tatababu, D.S.V.S. (185), "Parking Information System."
- Vasudeep, N. (312175710114), Rama Swamy S.G. (141), Vishnu, P.R.(124), Kowshik, P.S. (128), "Detecting Malicious Apps in Social Networking Sites."
- Ramya Deepthi, P. (312175710120), Neha, P. (122), Mahesh, S. (133), Research Area:
- Sree Sai Vidya P. (311175710135), Sandeep Bhat P. (128), Manohar Saidu (092), "Facial emotion recognition for lie detection."
- Ramya T. (311175710159), Anusha J. (191), Monika V. (168), "Exploring permission induced risk in android applications for malicious application detection."
- Sravya M. (310175710063), Divya Sri G. (028), Manikanta D. (018), Seshagiri M. (065), Aditya Varma G. (019), Thesis:
- Srinivasa Reddy, B. (309175710009), Anjaneyulu, D.C. (030), Suguna, M.K.G. (049), "Implementation of Security Enforced Randomized Dispersive Routing Algorithms in Wireless Sensor Networks."
- Sri Ram, A.M.S. (690751136), Gowtham Babu, T. (119), Bhavini Shankar, P. (098), Rajesh Varma, P. (092), Sala Dasu (104), Thesis: