Piyush Kumar Garg | Computer Science | Best Researcher Award

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Mr. Piyush Kumar Garg | Computer Science | Best Researcher Award

PhD of Indian Institute of Technology, Patna, India.

Piyush Kumar Garg is a fifth-year PhD candidate in Computer Science and Engineering at the Indian Institute of Technology Patna, India, under the supervision of Dr. Sourav Kumar Dandapat. He is an active member of the Data Analytics & Network Science (DANeS) Lab, focusing on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing. With a Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Dhanbad and a Bachelor’s degree in Information Technology from Maharana Pratap University of Agriculture and Technology, Piyush brings a strong academic background to his research. He is recognized for his motivated and goal-oriented approach, alongside his proficiency in organizing events and his strong problem-solving skills. Piyush has garnered honors for his contributions to research and volunteering initiatives, showcasing his dedication to academia and community service.

Professional Profiles:

Education

Mr. Piyush Kumar Garg has dedicated himself to advancing his expertise in computer science and engineering through rigorous academic pursuits. He commenced his educational journey with a Bachelor of Technology in Information Technology from Maharana Pratap University of Agriculture and Technology College of Technology and Engineering in Udaipur, Rajasthan, India, where he laid the groundwork for his career in technology. Building upon this foundation, he pursued a Master of Technology in Computer Science and Engineering at the esteemed Indian Institute of Technology Dhanbad, Jharkhand, India, further honing his skills and knowledge in the field. Currently, he is engaged in doctoral research at the Indian Institute of Technology Patna, Bihar, India, where he is pursuing a PhD in Computer Science and Engineering. His academic pursuits have equipped him with a comprehensive understanding of computer science principles and methodologies, empowering him to contribute meaningfully to the field. Through his dedication and commitment to learning, Mr. Piyush Kumar Garg continues to excel in his academic endeavors, poised to make significant contributions to the realm of computer science and engineering.

Professional Experience

Mr. Piyush Kumar Garg, currently pursuing a PhD in Computer Science and Engineering at the Indian Institute of Technology Patna, has a diverse academic background and rich professional experience. With internships in web development at Vidhya Hitech Software Solution and ongoing research at IIT Patna, he demonstrates versatility and practical expertise. Under the guidance of Dr. Sourav Kumar Dandapat, his research focuses on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing, showcasing his commitment to cutting-edge technology and its applications. Beyond academia, Mr. Garg actively engages in volunteer work with Street Cause and NSS, highlighting his dedication to social responsibility. With leadership roles in project management and event organization, coupled with his strong problem-solving skills and motivation to learn, Mr. Piyush Kumar Garg embodies a well-rounded professional poised for impactful contributions in the field of computer science.

Research Interest

Mr. Piyush Kumar Garg’s research interests span several areas within computer science and engineering. His primary focus lies in Disaster Tweet Summarization, aiming to develop efficient algorithms and techniques for extracting key information from tweets during crisis situations. Additionally, he is deeply engaged in Social Network Analysis, exploring patterns and structures within social networks to understand information dissemination and influence dynamics. Natural Language Processing forms another crucial aspect of his research, where he investigates techniques to analyze and understand human language data. Furthermore, his interests extend to Information Retrieval, Crisis Management, and Dialog Systems, reflecting a comprehensive approach to addressing contemporary challenges in technology and society. Through his diverse research interests, Mr. Garg seeks to contribute meaningfully to the advancement of knowledge and the development of practical solutions in these domains.

Award and Honors

Mr. Piyush Kumar Garg has garnered recognition for his academic and extracurricular achievements throughout his career. He has received prestigious awards such as academic scholarships, research grants, and accolades for his contributions to various initiatives. Additionally, his exceptional performance in academic settings has earned him distinctions and honors from esteemed institutions. Notably, his dedication to volunteer work and community service has been acknowledged through commendations and certificates of appreciation. Furthermore, his active involvement in organizing events and leading initiatives within academic and social spheres has been recognized by his peers and mentors. These awards and honors underscore Mr. Garg’s commitment to excellence and his significant impact in both academic and community contexts.

Research Skills

Mr. Piyush Kumar Garg possesses a diverse skill set tailored for advanced research in computer science and engineering. Proficient in various programming languages such as Python, Java, and C++, he demonstrates adeptness in algorithm design and implementation. His expertise extends to natural language processing techniques, data analytics, and network science methodologies. Additionally, he is skilled in utilizing machine learning and deep learning frameworks for complex data analysis tasks. With a strong foundation in statistical analysis and experimental design, Mr. Garg can effectively conduct research experiments and interpret results. Moreover, his ability to collaborate within multidisciplinary teams enhances his research capabilities, fostering innovative solutions to contemporary challenges in disaster tweet summarization, social network analysis, and information retrieval.

Publications

  1. IKDSumm: Incorporating key-phrases into BERT for extractive disaster tweet summarization
    • Journal: Computer Speech & Language
    • Year: 2024-08
    • DOI: 10.1016/j.csl.2024.101649
  2. OntoDSumm: Ontology-Based Tweet Summarization for Disaster Events
    • Journal: IEEE Transactions on Computational Social Systems
    • Year: 2023-04
    • DOI: 10.1109/tcss.2023.3266025
  3. EnDSUM: Entropy and Diversity based Disaster Tweet Summarization
    • Conference: Proceedings of Text2Story — Fifth Workshop on Narrative Extraction From Texts held in conjunction with the 44th European Conference on Information Retrieval (ECIR 2022)
    • Year: 2022-04-10
  4. SB-PSO based Secure Moving Average Time-based Fuzzy Resource Provisioning Approach (SBPSO-MATFRPA) with RSA
    • Journal: International Journal of Computer Applications
    • Year: 2018-04-17
    • DOI: 10.5120/ijca2018916824