Ms. Swati Tyagi | Computer Science | Best Researcher Award

MS. Swati Tyagi | Computer Science | Best Researcher Award

MS. Swati Tyagi, Researcher, University Of Delaware, United States.

Swati Tyagi, Ph.D. Candidate in Statistics, AI, and Machine Learning at the University of Delaware, is a distinguished researcher and applied scientist with extensive expertise in AI, ML, and data science. Known for her impactful work in large language models (LLMs) and ethical AI practices, Swati has contributed significantly to the fields of machine learning, predictive analytics, and algorithmic fairness. With over a decade of industry and academic experience, she has been recognized through awards, panel speaker roles, and key technical contributions.

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Strengths for the Award 🌟

Swati Tyagi demonstrates notable strengths in the field of AI and machine learning, particularly through her work on socially impactful topics such as bias mitigation in machine learning and the ethical applications of AI. Her research includes the development of models aimed at fairness and transparency in AI, showcased by her recent publications on bias reduction and explainable AI, making her a relevant and forward-thinking candidate for the award. Additionally, her strong technical skills (Python, TensorFlow, PyTorch, and more) and practical achievements, such as winning the JPMC Global Hackathon and being recognized by IEEE as a Senior Member, highlight her influence in the field and dedication to research excellence.

Areas for Improvement 📈

To further strengthen her candidacy, Swati could focus on increasing her visibility through additional publications in high-impact journals, which would increase her citation count and scholarly impact. Engaging in more collaborations could also diversify her research outputs and establish a broader research network. Swati might also consider expanding her focus to include more applied AI projects, potentially those with direct industrial or societal applications, which could provide practical proof of her research’s impact.

Education 🎓

Swati’s educational journey spans top institutions. She is pursuing her Ph.D. in Statistics, AI, and ML from the University of Delaware, where she has achieved a 3.7 GPA and the prestigious JPMC Graduate Scholarship. Prior to her Ph.D., she earned her Master’s in Business Analytics from the Indian Institute of Technology, Delhi, graduating with a 3.8 GPA, and completed her bachelor’s in computer science from JSS Academy of Technical Education, Noida.

Experience 💼

Swati’s professional path includes diverse roles in analytics, credit risk, and digital transformation. Currently, she serves as a Senior Applied Scientist – AI/ML at JPMC, where she spearheads LLM initiatives and financial application automation. Her previous roles include Lead Data Scientist at Elevate, Solution Consultant at Nucleus Software, and Senior Software Engineer at Newgen Software, each showcasing her versatility and ability to drive substantial financial impact through advanced data science solutions.

Research Interests 🔍

Swati’s research delves into areas such as large language models, ethical AI, and fairness in NLP and computer vision. She has also focused on topics like credit scoring, predictive analytics, and digital workflow automation. Her dedication to these areas has led to several publications and innovations that address real-world problems, including ethical considerations in AI and the mitigation of biases in model predictions.

Awards 🏆

Swati has been recognized with multiple prestigious awards. She won the JPMC Global Hackathon (2024), was honored as Best Presenter at an international AI/ML conference in Singapore, and is an IEEE Senior Member for her significant contributions to AI/ML. Additionally, she has been an invited panel speaker at the University of Delaware and served as a technical advisor for an LLM-based startup, reflecting her influence in the field.

Publications 📚

Swati’s research has been featured in leading journals and conferences. Key publications include:

  • “E-VAN: Enhanced Variational Autoencoder Network for Mitigating Gender Bias in Static Word Embeddings” (2023), published in NLPIR ’22 and cited for advancing gender fairness in NLP.
  • “Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions” – A foundational piece in credit scoring using explainable AI.
  • “Promoting Gender Fair Resume Screening Using Gender-Weighted Sampling” (2024), presented at CMLDS ’24 by the Association for Computing Machinery, notable for its contributions to fair hiring practices.

Conclusion 🎓

Swati Tyagi’s impressive academic record, ongoing contributions in AI ethics and explainability, and recognition through awards and patents make her a promising candidate for the “Best Researcher Award.” Her skill set and research align well with the values of the award, especially given her dedication to ethical AI applications and commitment to excellence. With further engagement in impactful publications and collaborative projects, Swati is likely to continue making significant strides in the AI and machine learning fields.

Dr Hamida Labidi | Computer Science Award | Best Researcher Award |

Dr. Hamida Labidi | Computer Science Award  |  Best Researcher Award.

Universite de Tunis,Tunisia

Professional Profiles:

ORCID

👨‍🎓 Bio Summary:

Dr. Hamida Labidi is a Tunisian computer scientist specializing in combinatorial optimization, particularly the Vehicle Routing Problem (VRP). She earned her doctorate in computer science from the Higher Institute of Management of Tunis in December 2023. Dr. Labidi has presented articles at conferences such as HPCS 2018, KES 2023, and HIS 2023, and has received honors and awards for her contributions to the field. Her professional experience includes serving as an Adjunct Professor at the Faculty of Sciences of Gabes, where she taught subjects like Algorithm and Data Structures, LINUX, and Mobile Development: Android. Dr. Labidi is proficient in languages such as Arabic, French, and English, and skilled in programming languages like C, C++, Java, and Python. Her hobbies include sports, traveling, cooking/baking, music, and dancing.

🎓 Education:

Dr. Hamida Labidi earned her doctorate in computer science from the Higher Institute of Management of Tunis in December 2023.

🔍 Research Focus:

Her research focuses on modeling and solving complex variants of the Vehicle Routing Problem (VRP) using combinatorial optimization techniques.

🏆 Honors & Awards:

Dr. Labidi has received honors and awards for her contributions to the field of computer science.

Professional Experience: 💼

 She has served as an Adjunct Professor at the Faculty of Sciences of Gabes, where she taught subjects like Algorithm and Data Structures, LINUX, and Mobile Development: Android.

📚 Top Noted Publications :

Dr. Labidi has presented articles at conferences such as HPCS 2018, KES 2023, and HIS 2023.

Labidi, H. (2018). Genetic Algorithm for Solving a Dynamic Vehicle Routing Problem with Time Windows. Paper presented at the International Conference on High Performance Computing & Simulation, HPCS 2018, Orleans, France, July 16-20, 2018. DOI: 10.1109/HPCS.2018.00126

.Author Metrics 📊 : 

Her work has contributed to the advancement of knowledge in the field of combinatorial optimization.

📅 Research Timeline:

Dr. Labidi’s research journey has equipped her with a deep understanding of cutting-edge technologies and methodologies in computer science.

Computer Science

Introduction to Computer Science:

Computer Science is a dynamic and rapidly evolving field that explores the theory, design, development, and application of computer systems and software. It encompasses a wide range of topics, from programming and algorithms to artificial intelligence and cybersecurity. Computer scientists play a crucial role in shaping the digital world, advancing technology, and solving complex problems.

Artificial Intelligence (AI):

AI focuses on creating intelligent machines capable of learning, reasoning, and problem-solving. It includes areas like machine learning, natural language processing, and computer vision.

Software Development:

Software development involves designing, coding, testing, and maintaining software applications. It’s at the core of creating computer programs and applications for various purposes.

Data Science and Big Data:

Data science deals with extracting valuable insights from large and complex datasets. It includes data analysis, data mining, and machine learning to make data-driven decisions.

Cybersecurity:

Cybersecurity is essential for protecting computer systems, networks, and data from cyber threats and attacks. It encompasses areas like network security, encryption, and ethical hacking.

Computer Graphics and Game Development:

This field focuses on creating visual and interactive experiences in applications, games, and simulations. It involves 2D and 3D graphics, animation, and virtual reality.

Computer Science is at the forefront of technological innovation, influencing every aspect of our lives, from communication and entertainment to healthcare and finance. Exploring these subtopics enables professionals and researchers to harness the power of computers and advance the capabilities of technology.