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

STARTUPS:

S. No.

Startups

1

Title - JOIE A friend you wish you had

Team Members - Archit Kaushal and Prakhar Jain

Mentor - Dr. Aman Sharma

Brief about the project:

The AI-based chatbot project designed to provide answers to any DSA (Data Structures and Algorithms) question is an innovative solution to help students and developers in their learning and problem-solving journey.

 

2.

Title: POCKETRAVEL

Team members: Agam Raj and Ishan Sharma

Mentor: Dr.  Aman Sharma

Brief about the project:

* Creating a solution for the tourists who travel around. Showing them a designed path to travel on with a specific amount of time.

* Creating a domain of new unexplored places with a specific designed path on which they can travel on.

* A digital guide or a chatbot we call, that helps people find specific locations and find routes to reach their locations on.

* Showing a visual glimpse of the places (explored and unexplored) in terms of video and photos and giving a brief of the place to travel. POCKETRAVEL will increase the average spent time of tourists.

 

Major Project Open Titles:

AI for 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.

AI for 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.

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.

AI for Social communication: Speech and Language Deficits in Neurological Disorders
Certainly! Speech and language deficits in neurological disorders encompass a range of challenges, affecting communication abilities due to conditions like aphasia, dysarthria, and apraxia. These disorders can arise from strokes, traumatic brain injuries, or neurodegenerative diseases, impacting speech production, comprehension, and overall communication skills. AI interventions aim to assist in therapy, offering innovative tools for rehabilitation and communication support.

AI for Social Good: Social Media Analytics for Mental Health
AI-driven social media analytics for mental health involve using algorithms to analyze online behavior, language patterns, and sentiment to detect potential mental health concerns. By monitoring social media posts, AI can identify signs of depression, anxiety, or other issues, providing early intervention opportunities and support for individuals in need, ultimately contributing to mental health awareness and care.

Federated Learning for Natural Language Processing (NLP)
Explore federated learning applications in NLP tasks like sentiment analysis or language translation. Develop a system that learns from decentralized text data sources while preserving linguistic nuances and privacy.

Personalized Federated Recommender System
Create a personalized recommendation system using federated learning techniques. Tailor recommendations to individual preferences while ensuring user privacy across multiple data sources.

AI for 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 Open Titles:

AI for Social communication: Speech and Language Deficits in Neurological Disorders
Certainly! Speech and language deficits in neurological disorders encompass a range of challenges, affecting communication abilities due to conditions like aphasia, dysarthria, and apraxia. These disorders can arise from strokes, traumatic brain injuries, or neurodegenerative diseases, impacting speech production, comprehension, and overall communication skills. AI interventions aim to assist in therapy, offering innovative tools for rehabilitation and communication support.

AI for Social Good: Social Media Analytics for Mental Health
AI-driven social media analytics for mental health involve using algorithms to analyze online behavior, language patterns, and sentiment to detect potential mental health concerns. By monitoring social media posts, AI can identify signs of depression, anxiety, or other issues, providing early intervention opportunities and support for individuals in need, ultimately contributing to mental health awareness and care.

Federated Learning for Natural Language Processing (NLP)
Explore federated learning applications in NLP tasks like sentiment analysis or language translation. Develop a system that learns from decentralized text data sources while preserving linguistic nuances and privacy.

Personalized Federated Recommender System
Create a personalized recommendation system using federated learning techniques. Tailor recommendations to individual preferences while ensuring user privacy across multiple data sources.

AI for Kidney Stone Prediction
Using AI for kidney stone prediction involves leveraging machine learning algorithms to analyze various patient parameters like medical history, dietary habits, and urine composition to forecast the likelihood of kidney stone formation. By integrating these factors, AI models can assist in early detection, allowing for proactive measures to prevent kidney stone development and provide personalized medical guidance for at-risk individuals.

AI for Diabetic Prediction
AI in diabetic prediction utilizes machine learning models to analyze patient data including blood sugar levels, lifestyle factors, family history, and other health indicators to forecast the risk of developing diabetes. These AI algorithms aid in early identification of at-risk individuals, enabling proactive interventions, personalized care, and lifestyle modifications to prevent or manage diabetes effectively.

AI for Cancer Prediction
AI in cancer prediction involves leveraging machine learning algorithms to analyze medical imaging, genetic data, patient records, and biomarkers to identify patterns indicative of cancer risk or early-stage tumors. These models assist in early detection, improving prognosis, treatment planning, and potentially saving lives through timely intervention and targeted therapies.

Minor Project Groups guided (2023):

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 (2022):

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 guided (2023):

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 (2022):

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.

7. Agarwal P, Rastogi D, Sharma A. Face Mask Detection Alert System for COVID Prevention Using Deep Learning. InApplications of Machine Learning and Deep Learning on Biological Data 2023 Mar 13 (pp. 57-74). Auerbach Publications.

Patents:

1. Australian Patent Application Number- 2020103509

Invention Title- An Artificial Intelligence Based System to Identity The Medical Condition Prior To Doctor Consultation

2. German Patent Application Number- 202022102926.1

Invention Title: Internet of Things (IOT) Based Infrared Health Monitoring System For Newborn Babies

3. Indian Patent Application Number- 202311029769

Invention Title: Method of Fabrication and Arrangement of Anti-Glare Glass for Avoiding Accidents on Road

4. Indian Patent Application Number- 202311038968

Invention Title: Psychological Chatbot and Voice Bot System for the Treatment of Mental Illnesses