SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

Dr. SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

AMITY UNIVERSITY, India

Author Profile

Early Academic Pursuits 🎓

Dr. Aggarwal’s academic journey began with a B.Tech in Computer Engineering from the University College of Engineering, Punjabi University, Patiala (2011–2015). Her undergraduate years were marked by curiosity and excellence, laying a robust foundation in computer engineering.

Continuing her passion for learning, she pursued an M.E. in Computer Science and Engineering at Panjab University, Chandigarh (2015–2017). Her thesis, titled “Load Balancing and Clustering Scheme for Real-Time VoIP Applications”, showcased her ability to solve complex problems in real-time communication systems. Under the mentorship of Dr. Sakshi Kaushal and Dr. Harish Kumar, she honed her research skills, preparing her for future academic endeavors.

Her most significant academic achievement is her Ph.D. in Computer Science and Engineering from the Thapar Institute of Engineering and Technology, Patiala (2018–2023). Her doctoral thesis, “An Efficient Decentralized Secure Energy Management Framework for Smart Grid System”, reflects her expertise in energy systems, blockchain, and cybersecurity. Guided by Dr. Neeraj Kumar, one of India’s top computer science researchers, she demonstrated exemplary dedication and technical prowess. 🔐⚡


Professional Endeavors 🏫

Dr. Aggarwal’s professional career is defined by her dual focus on education and research. Since August 2022, she has been an Assistant Professor at Amity University Punjab, contributing significantly to both undergraduate and postgraduate programs. Her teaching portfolio includes a wide array of subjects, such as:

  • Computer Networks
  • IoT and Blockchain Technologies
  • Secure Communication and Cryptography
  • Web and Mobile Security
  • Data Mining and Business Intelligence
  • Design Thinking 💡

Dr. Aggarwal’s teaching approach emphasizes creativity, critical thinking, and real-world applications, inspiring students to excel in their academic and professional pursuits.


Contributions and Research Focus 🔬

Dr. Aggarwal’s research interests align with contemporary challenges in technology. Her key areas include:

  • Blockchain: Exploring decentralized systems for secure energy management in smart grids.
  • Cybersecurity: Developing frameworks to secure communication and cryptographic protocols. 🔒
  • IoT and Smart Grids: Designing efficient, decentralized systems for real-time data processing.
  • Artificial Intelligence and Machine Learning: Leveraging AI for data mining and business intelligence. 🤖📊

Her doctoral research introduced a groundbreaking framework for secure energy management in smart grids, enhancing the efficiency and security of energy systems. She has also explored load balancing and clustering techniques, addressing real-time VoIP challenges.


Accolades and Recognition 🏆

Dr. Aggarwal’s contributions to academia and research have earned her several prestigious accolades:

  1. World’s Top 2% Scientist Recognition by Stanford University (2023, 2024).
  2. Recognition for her impactful teaching and curriculum design at Amity University Punjab.

Her academic and professional achievements underscore her commitment to excellence in education and research. 🌟


Impact and Influence 🌍

As an educator, Dr. Aggarwal has shaped the careers of countless students, inspiring them to think innovatively and pursue ambitious goals. Her research has contributed significantly to advancing knowledge in blockchain technology, cybersecurity, and smart systems.

Her work in smart grids has the potential to revolutionize energy management, promoting sustainability and efficiency in a digitally connected world. Her passion for teaching and research has created a ripple effect, influencing students and peers alike. 🌱


Legacy and Future Contributions 🚀

Dr. Aggarwal’s future endeavors aim to bridge the gap between academia and industry. She envisions:

  1. Developing innovative teaching methodologies to prepare students for the rapidly evolving tech landscape. 📚
  2. Expanding her research into smart cities, AI-driven systems, and cybersecurity frameworks for large-scale applications.
  3. Collaborating internationally to solve global challenges in energy, communication, and technology.

Her legacy lies in her ability to seamlessly integrate teaching and research, fostering an environment of learning, innovation, and collaboration. As a mentor, researcher, and educator, Dr. Shubhani Aggarwal continues to leave an indelible mark on the academic and technological community. ✨

Citations

A total of 2,006 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        2,006
  • h-index          44
  • i10-index       16

Notable Publications

  • A Blockchain-Based Secure Path Planning in UAVs Communication Network
    • Authors: Aggarwal, S., Budhiraja, I., Garg, S., Choi, B.J., Hossain, M.S.
    • Journal: Alexandria Engineering Journal
    • Year: 2025.
  • Blockchain-Based Content Retrieval Mechanism in NDN-Enabled V2G Networks
    • Authors: Aggarwal, S., Kumar, N., Mohammad, N., Barnawi, A.
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2024.
  • BlockTwins: Blockchain Empowered Supply Chain Digital Twins in Metaverse
    • Authors: Aggarwal, S., Kumar, N., Singh, A., Aujla, G.S.
    • Conference: 2024 IEEE International Conference on Communications Workshops (ICC Workshops)
    • Year: 2024.
  • Authentication of Smart Grid by Integrating QKD and Blockchain in SCADA Systems
    • Authors: Aggarwal, S., Kaddoum, G.
    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2024.
  • Fog Computing for 5G-Enabled Tactile Internet: Research Issues, Challenges, and Future Research Directions
    • Authors: Aggarwal, S., Kumar, N.
    • Journal: Mobile Networks and Applications
    • Year: 2023.

Priyadarshini Jayaraju | Natural Language Processing | Excellence in Research

Dr. Priyadarshini Jayaraju - Natural Language Processing - Excellence in Research🏆

Vellore Institute of Technology - India

Professional Profiles

Early Academic Pursuits

Her academic journey reflects a steadfast dedication to exploring the realms of Information and Communication. Her quest for knowledge began at Hindustan College of Engineering, Anna University, where she completed her Bachelor's degree in Computer Science Engineering with distinction. She continued her academic pursuits at Sree Sastha Institute of Engineering and Technology, Anna University, earning her Master's degree in Computer Science Engineering. Her academic excellence culminated in her Ph.D. in Information and Communication from MIT, Anna University, Chennai.

Professional Endeavors

Her professional journey has been marked by a series of significant roles in academia and research. She has served as an Associate Professor at VIT University, Chennai, contributing her expertise to the School of Computer Science and Engineering. Prior to this, she held positions as an Assistant Professor and Teaching Research Associate at VIT University and Anna University, respectively.

Contributions and Research Focus in Natural Language Processing

Her research focus spans the domains of machine learning, artificial intelligence, and Natural Language Processing (NLP). Her Ph.D. thesis, "Intelligent Multiple Objects Tracking Techniques for Location Updates with Occlusion Handling in a Dynamic Environment," underscores her expertise in signal processing, artificial intelligence, and database management. Additionally, her M.E. project on "Mining of Defect Association in Software and Defect Correction Effort Prediction" showcases her proficiency in data mining and predictive analytics. Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on the interaction between computers and human languages. It involves the development of algorithms and techniques to enable computers to understand, interpret, and generate human language data in a meaningful way. NLP encompasses a wide range of tasks, including language understanding, text analysis, information extraction, sentiment analysis, and speech recognition.

Accolades and Recognition

Her contributions to the field of Information and Communication have been recognized through numerous accolades and publications. She has authored several articles in prestigious conferences and journals, both nationally and internationally. Her expertise in NLP, machine learning, and artificial intelligence has positioned her as a thought leader in the academic community. Through the utilization of machine learning and deep learning algorithms, NLP systems can process and analyze vast amounts of textual data, extracting insights, patterns, and trends that would be impractical or impossible for humans to discern manually. These advancements have led to the development of NLP applications across various industries, including healthcare, finance, education, business, customer service, social media, marketing, cybersecurity, e-commerce, legal domain, government, journalism, and research.

Impact and Influence

Her research endeavors have had a profound impact on the advancement of technology and knowledge in her field. Her work on intelligent tracking techniques and defect association mining has contributed to the development of innovative solutions in areas such as surveillance systems and software quality assurance. Furthermore, her guidance and mentorship of Ph.D. scholars in medical image processing and vehicular detection have fostered future generations of researchers.

Legacy and Future Contributions

Her legacy is characterized by her commitment to pushing the boundaries of knowledge and innovation in Information and Communication. As she continues her academic journey, she aims to further explore the applications of NLP, machine learning, and artificial intelligence in solving real-world challenges. Her future contributions hold the promise of unlocking new insights and driving transformative advancements in technology and society. Her dedication to excellence and passion for research ensure that her impact will endure for years to come.

Citations

  • Citations               332
  • h-index                   11
  • i10-index                11

Notable Publications

 

Sukanya G | Natural Language Processing in Legal domain | Best Researcher Award

Prof. Sukanya G - Natural Language Processing in Legal domain - Best Researcher Award 🏆

Vellore Institute of Technology Chennai - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a Bachelor of Engineering in Computer Science and Engineering from Arulmigu Meenakshi Amman College of Engineering, where she demonstrated exceptional dedication and achieved an aggregate of 79.22%. Her thirst for knowledge led her to pursue a Master of Engineering in Computer Science & Engineering from Sree Sastha Institute of Engineering and Technology, where she graduated with an outstanding aggregate of 83%, earning the distinction of "Ist Class with distinction."

Professional Endeavors

Her professional journey is marked by a series of impactful roles in academia and research. She commenced her career as a Programmer Trainee at Cyber Globe of India, where she laid the foundation for her technical expertise. Subsequently, she transitioned into academia, serving as an Assistant Professor at esteemed institutions such as Alpha College of Engineering and Sree Sastha Institute of Engineering and Technology.

Contributions and Research Focus in Natural Language Processing in Legal domain

Her primary research focus lies at the intersection of Natural Language Processing (NLP) and the legal domain. Her research endeavors have centered on areas such as legal text analysis, law document processing, NLP applications in law, and legal document automation. Her pioneering work aims to harness the power of Deep Learning techniques to revolutionize the way legal information is processed and interpreted. Natural Language Processing (NLP) in the legal domain refers to the application of computational techniques to understand, interpret, and analyze legal text and documents. This interdisciplinary field combines principles from linguistics, computer science, and artificial intelligence to automate various tasks associated with handling legal information. NLP technologies enable legal professionals and organizations to efficiently process vast amounts of legal text, including contracts, statutes, case law, and regulatory documents.

Accolades and Recognition

Her contributions to the field of NLP in the legal domain have been widely recognized and celebrated. She has authored several impactful research papers published in prestigious journals, including a notable publication in the SCOPUS indexed International Journal of Advanced Computer Science and Applications (IJACSA) and a research article in the SCIE indexed journal Data and Knowledge Engineering. In the legal domain, NLP is utilized for tasks such as legal text analysis, law document processing, legal document automation, and more. These applications involve tasks like extracting key information from legal documents, identifying relevant clauses or provisions, categorizing documents based on their content, summarizing lengthy texts, and even predicting outcomes based on precedent analysis.

Impact and Influence

Her research has made significant contributions to advancing the capabilities of NLP in the legal domain. Her work on attention models for legal judgment prediction systems and the development of modified hierarchical-attention network models have garnered attention for their innovative approaches and practical implications. Her research findings have the potential to reshape how legal professionals handle tasks such as contract analysis, legal compliance, and case law analysis.

Legacy and Future Contributions

Her legacy is defined by her dedication to pushing the boundaries of knowledge in the field of NLP within the legal domain. As she continues her research journey, she aims to further refine and expand upon her methodologies, driving towards more efficient and accurate solutions for legal text analysis and document processing. Through her ongoing efforts, she seeks to leave a lasting impact on the legal industry, paving the way for enhanced automation, efficiency, and accessibility in legal information management.

Notable Publications