Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Aman Sharma is currently working as Assistant Professor (SG) in the Department of Computer Science & Engineering at Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh. He has around 7 years of teaching and research experience. He has completed his Ph.D. thesis with title “Machine Learning based Framework for Drug Prediction of Cancerous Genomic Profiles” in Computer Science & Engineering Department from Thapar Institute of Engineering and Technology, Patiala, Punjab. He obtained his M.E. with thesis title “Community detection and analysis of Twitter social data” in Computer Science & Engineering from Thapar Institute of Engineering and Technology, Patiala, Punjab. He has obtained his B.Tech. in Computer Science & Engineering from R.B.I.E.B.T, Mohali, Punjab. He has been a rank holder throughout his studies. He has also obtained A.I.R-1800 in GATE 2013.

Research Interests:
Machine Learning
Bioinformatics
Artificial Intelligence
Deep Learning
Data Analytics

Open Project Titles:

1. Heart Disease Prediction
Machine Learning can play an essential role in predicting presence/absence of Locomotor disorders, Heart diseases and more. Such information, if predicted well in advance, can provide important insights to doctors who can then adapt their diagnosis and treatment per patient basis.

2. Plant Disease Prediction
Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis.

3. Phycological Chatbot
Mental health has become one of the most overlooked, yet crucial, aspects of our entire well-being in today's environment. In this work, we propose a system for a virtual mental health assistant due to cost, time, and space constraints, as well as a lack of resources associated with inperson counselling. Disrupted mental health is typically the consequence of a snowball effect that necessitates continual attention and deliberate efforts to remediate. This is made possible with the help of a virtual mental health chatbot. The recommended chatbot will have a chat feature, many language voice input options, and a recommendation tool to improve the user's mood.

4. Predicting Alzheimer’s Disease from Spoken and Written Language
The importance of automating the diagnosis of Alzheimer disease (AD) towards facilitating its early prediction has long been emphasized, hampered in part by lack of empirical support. Given the evident association of AD with age and the increasing aging population owing to the general well-being of individuals, there have been unprecedented estimated economic complications. Consequently, many recent studies have attempted to employ the language deficiency caused by cognitive decline in automating the diagnostic task via training machine learning (ML) algorithms with linguistic patterns and deficits.

5. Diabetic Prediction
Diabetes Mellitus is among critical diseases and lots of people are suffering from this disease. Age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, high blood pressure, etc. can cause Diabetes Mellitus. People having diabetes have high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. Current practice in hospital is to collect required information for diabetes diagnosis through various tests and appropriate treatment is provided based on diagnosis. Big Data Analytics plays an significant role in healthcare industries. Healthcare industries have large volume databases. Using big data analytics one can study huge datasets and find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly.

Minor Project Groups currently guiding:

Minor Project Groups guided:

Major Project Groups currently guiding:

Major Project Groups guided:

Output of Projects Guided:

1. A. Sharma and S. Chaturvedi, "Mouse-Less Cursor Control for Quadriplegic and Autistic Patients Using Artificial Intelligence" In Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder, IGI Global. [DOI: 10.4018/978-1-7998-7460-7.ch008]

2. A. Sharma, A. Bansal and A. Bhardwaj, "Forecasting the Trend of Covid-19 Epidemic", In Proceedings of 6th International Conference on Parallel and Distributed Computing. (PDGC-2020) [DOI: 10.1109/PDGC50313.2020.9315795]

3. A. Sharma, K. Shah, S. Verma, "Face Recognition using Haar Cascade and Local Binary Pattern Histogram in OpenCV", In Proceedings of 2021 Sixth International Conference on Image Information Processing (ICIIP-2021) [DOI: 10.1109/ICIIP53038.2021.9702579]

4. Mohana R, Sharma P, Sharma A. Ensemble Framework for Red Wine Quality Prediction. Food Analytical Methods. 2022 Aug 19:1-5.

5. Joshi A, Rana V, Sharma A. Brain Tumor Classification using Machine Learning and Deep Learning Algorithms: A Comparison. In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing 2022 Aug 4 (pp. 15-21).

6. Tiwari A, Chugh A, Sharma A. Ensemble framework for cardiovascular disease prediction. Computers in Biology and Medicine. 2022 May 17:105624.