Mr. Gaurav Sharma

AI Researcher & Assistant Professor, Lovely Professional University (LPU), Punjab

IMPARC ID: IMP-CMP-CSE-PB-2025-2081

Profile Summary

Mr. Gaurav Sharma is an accomplished AI Engineer and Researcher with over 6.5 years of academic and industry experience in artificial intelligence, machine learning, and human-computer interaction. His work focuses on AI-driven audio processing, multimodal systems, and emotion-sensitive computing. Currently pursuing a Ph.D. in Computer Science from Lovely Professional University (LPU), Punjab, his research aims to develop a Psychoacoustic-Aware Large Language Model for Emotion-Sensitive Human-Computer Interaction. He has served as Assistant Professor at Lovely Professional University and ITM Group of Institutions, Gwalior, and worked in the tech industry as a Senior Software Engineer at Indpro AB, Bangalore, where he built AI-powered applications integrating explainable AI (XAI) and data visualization. Mr. Sharma’s contributions span academic teaching, AI research, and open-source development. His research outputs include publications in IEEE, international conferences, and peer-reviewed journals.

Subject Matter Expertise

Data & AI
Algorithm Design – ML (Machine Learning)
Predictive Modeling
Image Processing
Audio Analysis
Artificial Intelligence → Human-Computer Interaction

Engineering & Technology
Computer Science → Machine Learning

Mentorship Offered

Data & AI
Algorithm Design – ML (Machine Learning)
Predictive Modeling
Image Processing
Audio Analysis
Artificial Intelligence → Human-Computer Interaction

Engineering & Technology
Computer Science → Machine Learning

Work Experience Summary

Mr. Sharma has over six years of professional experience across academia and industry. His expertise spans AI systems development, software engineering, academic instruction, and applied research in machine learning and human-computer interaction.
Academic & Professional Experience

Institution Name: Lovely Professional University (LPU), Punjab
Job Title: Assistant Professor
Description: Teaching Artificial Intelligence, Machine Learning, Natural Language Processing, and Deep Learning; organizing workshops; mentoring student projects; and integrating real-world AI applications into the curriculum.
Duration: August 2023 – Present

Company Name: Indpro AB, Bangalore
Job Title: Senior Software Engineer
Description: Developed front-end interfaces for AI-powered applications, integrated Explainable AI (XAI) components, and collaborated with ML teams for model deployment and optimization.
Duration: March 2022 – July 2023

Institution Name: ITM Group of Institutions, Gwalior
Job Title: Assistant Professor
Description: Conducted undergraduate and postgraduate courses in Computer Science and Engineering; organized workshops and training programs; collaborated with industry experts for curriculum enhancement and student internships.
Duration: July 2013 – April 2017

Educational Summary

Mr. Sharma has pursued advanced academic training in computer science and artificial intelligence, focusing on multimodal systems and emotion-sensitive AI.
Educational Qualifications

Institution Name: Lovely Professional University (LPU), Punjab
Degree Title: Ph.D. (Computer Science) – Pursuing
Field/Description: Psychoacoustic-Aware Large Language Model for Emotion-Sensitive Human-Computer Interaction
Year: Expected 2024

Institution Name: VIT University, Vellore
Degree Title: Master of Technology (M.Tech) in Computer Science and Engineering
Thesis Title: Recommendation Technique for Multi-Criteria Rating Systems Using Rough Set
Duration: July 2011 – May 2013

Institution Name: RGPV, Bhopal
Degree Title: Bachelor of Engineering (B.E.) in Computer Science and Engineering
Duration: July 2007 – May 2011

Publication Summary

Mr. Sharma has published several research papers in IEEE conferences and reputed journals, contributing to fields such as network security, cryptography, AI-driven disease detection, and emotion analysis in audio signals.
Publications & Research Projects

Publications
Title: Lumpy Skin Disease Virus Identification Using Image-Based and Deep Learning Approach
Authors: Gaurav Sharma
Published In: Proceedings of the 4th International Conference on Computational Methods and Science and Technology, Vol. 2, ISBN 9781032911601, pp. 30–35
Year: 2024

Title: Implementation of Modified Playfair CBC Algorithm
Authors: Gaurav Sharma
Published In: International Journal of Engineering Research & Technology, Vol. 5, Issue 6, e-ISSN 2278-0181, pp. 679–684
Year: 2016

Title: Network Security: A Survey Paper on Playfair Cipher and Its Variants
Authors: Gaurav Sharma
Published In: International Journal of Urban Design for Ubiquitous Computing, Vol. 3, Issue 1, pp. 1–6
Year: 2015

Title: A New Modified Playfair Algorithm Using CBC
Authors: Gaurav Sharma
Published In: Proceedings of the 5th IEEE International Conference on Communication Systems and Network Technologies (CSNT)
Year: 2015

Title: Localization Technique for Lost Node in Geo-Location
Authors: Gaurav Sharma
Published In: Proceedings of the 5th IEEE International Conference on Communication Systems and Network Technologies (CSNT)
Year: 2015

Title: Using Geo-Location Method for Lost Node in Location-Based Services
Authors: Gaurav Sharma
Published In: Proceedings of IEEE ICCN
Year: 2015

Title: Heuristic Analysis Approach for Malware Detection on Internet Banking
Authors: Gaurav Sharma
Published In: International Journal of Scientific & Engineering Research, Vol. 6, Issue 1, ISSN 2229-5518, pp. 737–738
Year: 2015

Title: A Study on Geo-Location Authentication Techniques
Authors: Gaurav Sharma
Published In: Proceedings of the 5th IEEE International Conference on Computational Intelligence and Communication Networks (CICN)
Year: 2015

Title: Energy Efficient Protocol for WSNs Using Federal and Distributed Clustering Approach
Authors: Gaurav Sharma
Published In: International Journal of Computer Science and Information Technologies, Vol. 5(1), ISSN 0975-9646, pp. 632–635
Year: 2014


Research Projects
1. Emotion Detection in Audio Using Psychoacoustic Multimodal Link
Developed an emotion detection system leveraging psychoacoustic modeling and deep learning for analyzing emotional cues in speech signals.

2. AI-Powered E-Learning Content Generation System
Designed an AI-based educational content generation platform integrating GPT and TTS models to create personalized learning materials such as quizzes, scripts, and lessons.

3. AI-Powered Lumpy Skin Disease Diagnosis from Cattle Images
Created a CNN-based image classification system for livestock disease detection, achieving improved prediction accuracy through transfer learning and advanced image preprocessing.

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