Anuridhi Gupta | Public health informatics | Women Researcher Award

Posted on by Academic achievements

Ms. Anuridhi Gupta | Public health informatics | Women Researcher Award 

Graduate Research Assistantships at George Mason University, United States

Anuridhi Gupta is a dedicated Ph.D. student and graduate research assistant specializing in Information Technology at George Mason University. Her academic journey reflects a consistent pursuit of excellence, marked by her inclusion on the dean’s list throughout her undergraduate studies in Computer Science. Currently pursuing her Ph.D. with a focus on applied machine learning, natural language processing, and social computing, Anuridhi is committed to leveraging technology for societal benefit.

Profile

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Education

Anuridhi Gupta’s academic foundation is robust, beginning with her Bachelor of Science in Computer Science from George Mason University, where she was recognized for her exemplary performance as part of the dean’s list for all semesters. She subsequently earned her Master of Science in Applied Information Technology, concentrating on Cyber-Human Systems, further honing her expertise in the intersection of technology and human interaction. As she works towards her Ph.D. in Information Technology, she engages in groundbreaking research under the guidance of Dr. Hemant Purohit in the Humanitarian Informatics Lab, expected to be completed in 2026.

Experience

In her role as a graduate researcher at George Mason University, Anuridhi has significantly contributed to understanding and modeling human behavior through social media data analytics. Her research focuses on employing large language models to enhance scalability and reduce human effort in explainable stance detection. Additionally, she is involved in a National Science Foundation project aimed at developing effective approaches to protect individuals with developmental disabilities from cybercrimes in online social media environments. Anuridhi has also served as a teaching assistant, where she facilitated courses in SQL, Object-Oriented Programming, Data Structures, and Python, contributing to the academic development of her peers.

Research Interests

Anuridhi Gupta’s research interests are deeply rooted in applied machine learning, data mining, natural language processing, and social computing. Her work addresses critical issues such as bias detection in machine learning models, particularly in the context of cyber safety for vulnerable populations. Anuridhi explores how large language models can be harnessed to improve data analytics solutions and mitigate biases in online interactions. Her innovative approach to understanding human behavior and linguistic patterns on social media highlights her commitment to advancing knowledge in her field while prioritizing humanitarian outcomes.

Awards

Throughout her academic career, Anuridhi has been recognized for her contributions to research and academia. Her efforts have led to multiple accepted publications in prominent journals and conferences, underscoring her dedication to impactful research. Her work not only contributes to the academic community but also provides insights that are essential for societal advancement.

Publications

Anuridhi Gupta has authored and co-authored several significant publications that reflect her research focus and contributions to the field:

Bias Detection and Mitigation in Zero-Shot Spam Classification using LLMs (2024) – Accepted at the IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (IEEE-TPS).

Intent Mining Framework for Understanding Online Conversations on Vaping to Inform Social Media-based Intervention Design (2024) – Featured Article in Behavior and Information Technology Journal (BIT).

Summarizing Social Media News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track (2023) – Presented at The Thirty-Second Text REtrieval Conference (TREC).

Conclusion

Anuridhi Gupta is a well-qualified candidate for the Research for Women Researcher Award. Her strong academic background, impactful research, and dedication to addressing societal issues align well with the award’s objectives. While there are opportunities for growth, particularly in expanding her impact and networking, her current achievements and commitment to advancing knowledge in her field make her an excellent nominee for this recognition.

Mohammed Bouasabah | Stochastic Processes | Best Researcher Award

Posted on by Academic achievements

Prof Dr. Mohammed Bouasabah | Stochastic Processes | Best Researcher Award 

Professor | Ibn Tofail University | Morocco

Short Biography ✨

Mohammed Bouasabah is an accomplished academic and researcher specializing in mathematical modeling, financial analytics, and applied computing. Currently serving as a Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra, he has made significant contributions to the fields of finance and mathematics through both his research and teaching. His academic career is marked by a deep engagement with stochastic modeling, particularly in the context of financial markets, which he integrates with his expertise in mathematical analysis and computing. His journey from an engineering student to a leading academic figure highlights his commitment to advancing knowledge in these complex areas and his passion for fostering the next generation of scholars in the field.

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Scopus

Education 🎓

Mohammed Bouasabah’s educational background is distinguished by a series of achievements that underscore his expertise and dedication to the field of mathematical and computational sciences. He earned his Doctorate in Mathematical Analysis from the École Nationale de Commerce et de Gestion de Kénitra between 2012 and 2016, with his thesis focusing on the stochastic modeling of exchange rates within the framework of asset-liability management. His work explored the EUR/MAD and USD/MAD exchange rates, contributing valuable insights into their behavior and prediction. Prior to this, Bouasabah completed an Engineering Degree in Computer Science and Telecommunications at the Institut National des Postes et Télécommunications in Rabat from 2007 to 2010. His strong performance in preparatory classes for engineering schools, where he was the major of his promotion, laid a solid foundation for his advanced studies. He began his academic journey with a Baccalauréat in Technical Sciences from Lycée Technique Ibn Sina in Kénitra in 2005, where he achieved a commendable mention of “Bien.”

Experience 🏛️

Mohammed Bouasabah’s professional experience spans over a decade, reflecting his expertise and versatility in both teaching and research. Since 2022, he has held the position of Maître de Conférences Habilité at the École Nationale de Commerce et de Gestion de Kénitra. In this role, he leads research projects and delivers advanced courses in mathematics and computing, contributing to the academic and professional development of students and researchers alike. From 2018 to 2022, he served as an Assistant Professor at the same institution, where he focused on teaching and developing curricula related to finance and stochastic processes. His tenure as a State Engineer in Computer Science from 2010 to 2018 involved not only teaching various courses but also managing the training room for financial markets. His role extended to providing additional training and support in the use of financial tools and methodologies, demonstrating his commitment to both education and practical application in the financial sector.

Research Interests 🔍

Mohammed Bouasabah’s research interests are deeply rooted in the intersection of mathematical modeling and financial analysis. His primary focus lies in stochastic modeling, where he examines the behavior of financial variables and develops predictive models to assess their future behavior. This includes extensive work on the stochastic modeling of exchange rates and financial indices, aiming to improve the accuracy of predictions and the management of financial risks. Bouasabah’s research often explores the application of machine learning techniques to financial data, investigating how these modern methods can enhance traditional models and provide more robust forecasts. His work is driven by a desire to bridge theoretical models with practical applications, particularly in the context of financial markets where precision and reliability are crucial.

Awards 🏆

Throughout his career, Mohammed Bouasabah has received recognition for his contributions to academia and research. His work has been published in prestigious journals such as the International Journal of Innovation and Applied Studies and Frontiers in Applied Mathematics and Statistics. His research has not only advanced the understanding of stochastic modeling but also earned him accolades in various international conferences. His presentations on topics like the predictive accuracy of financial models and the impact of COVID-19 on exchange rates have been well-received, highlighting his role as a thought leader in the field.

Publications 📚

Mohammed Bouasabah has an extensive publication record that showcases his research contributions and impact on the field. Some of his notable publications include: