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

Dr. Aman Sharma

Dr. Aman Sharma
Assistant Professor (SG)
(91) 01792-239348
aman.sharma@juit.ac.in, amans.3008@gmail.com
For More Information Click here


Biography :

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:

Project Group No.

Minor Project Title

Project Members' Roll No. and Name

Project Members' Roll No. (Contact No.)

Email address

GP-01

Brain Tumor Classification

191218 Ananya Joshi, 191226 Vipasha Rana

191218 (7088344929), 191226 (7876175747)

191218@juitsolan.in

GP-02

Breast Cancer classification using deep learning model on image dataset

191417 Abhimanyu Singh Anand

7754075207

191417@juitsolan.in

GP-03

Music Genre Classification using Audio Data

1. 191220- Saksham Chaturvedi

191220 - 9582064701

191220@juitsolan.in

GP-04

Diabetes Prediction using Machine Learning

191405- Shaswat Sahu & 191410- Akshat Gopal

191405(9918779997) & 191410(9717350293)

191405@juitsolan.in

GP-05

Detection of brain tumor in humans using Machine Learning

191225 Abhiti Labroo and 191228 Aman Gupta

191225 - (9625085332) and 191228 - (8527528050)

191225@juitsolan.in

GP-06

Healthcare Systems

191524 Dron Mehta; 191525 Ajay Tyagi; 191540 Devbrat Srivastava

191524- 9111904188; 191525- 9368928743; 191540- 8127823251

191524@juitsolan.in

Minor Project Groups guided:

Project Group No.

Minor Project Title

Project Members' Roll No. and Name

Project Members' Roll No. (Contact No.)

GP-01

SLA (Smart lens audio)

181348-Shreyansh Rawat,181325-Aditya narayan singh,181347-Mridul Pratap Singh

181348-8527300370,181325-8544765605,181347-9027055414

GP-02

Cancer Detection of Lymph Node Metastases

Astitva Shrestha-181404 & Navdeep Singh Hada-181405

181404 - 7619958609 & 181405 - 7374805281

GP-03

Emotion Detection Model using AI

Ananya Srivastav-181417, Parth Sharma - 181439

9582102706, 8130306740

GP-04

Assistive Ball

Mohammad Kounen Khan (181277), Sparsh Mittal(181272)

181277(8871181950), 181272(9773760787)

GP-05

Smart Monitoring and Controlling of Government Policies using social media and Cloud computing.

Aditya Sharma(181395) , Abhay Suri(181389)

Aditya -7018305219            Abhay-8091773310

GP-06

Braille Keyboard With Voice Output

181488 - GOPESH CHAWLA       181375 - SHREYA DWIVEDI

181488 - 7889005081      181375 - 9305323295

Major Project Groups currently guiding:

Project Group No.

Major Project Title

Project Members' Roll No. and Name

Project Members' Roll No. (Contact No.)

Email address

GP-01

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records

181266 Divyanshu Tewari

7983944297

181266@juitsolan.in

GP-02

Brain Tumor Segmentation

181335 PRADYUMAN SHARMA, 181344 CHANDAN DHIMAN

9418781565, 8091723212

181335@juitsolan.in, 181344@juitsolan.in

GP-03

Customer Marketing segmentation with Machine Learning

181439 Parth Sharma, 34 181417 Ananya Srivastav

8130306740

181439@juitsolan.in

GP-04

Stroke Prediction

181277 Mohd. Kounen Khan, 181272 Sparsh Mittal

8871181950, 9773760787

181277@juitsolan.in, 181272@juitsolan.in

Major Project Groups guided:

Project Group No.

Major Project Title

Project Members' Roll No. and Name

Project Members' Roll No. (Contact No.)

Email address

GP-01

Generate Cartoon Characters

Aarushi Bharadwaj (171260), Adhishree Bansal (171233),    

9805582706, 8219870133

171233@juitsolan.in, 171260@juitsolan.in

GP-02

An interactive web application using Angular and Google Firebase to review movies

Abhishk Agarwal(171212)

7007653256

171212@juitsolan.in

GP-03

Streaming application with recommendation engine

Shashank Shukla (171296), Shubham Singh (171305)

9877339581, 9871358837

171296@juitsolan.in

GP-04

Face Mask Detector with OpenCV, TensorFlow and Deep Learning

Dawa Tenzin (171388)

8629858962

171388@juitsolan.in

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.

Author Publication Profile:
Book Chapter(s) :
Journal(s) :
Conference(s) :