Mr. Lev Sukherman | Computer Science | Best Researcher Award
Ph.D. Student, Computer Science, Worcester Polytechnic Institute (WPI), Worcester, Massachusetts, USA.
Lev Sukherman is a computer science researcher specializing in artificial intelligence, natural language processing, machine learning, and optimization algorithms. His research focuses on large language models, mathematical reasoning, genetic algorithms, and statistical AI. He has contributed to peer-reviewed international conferences and actively participates in NLP research and experimental validation.
Profile
- ORCID: 0009-0009-4389-1353
- Scopus: 59710945400
Education
- Ph.D. in Computer Science, Worcester Polytechnic Institute, USA (2025–Present)
- M.S. in Applied Computer Science, Wentworth Institute of Technology, USA (2022–2025)
- MBA, MGIMO University, Russia (2019–2021)
- BBA, Lomonosov Moscow State University, Russia (2014–2019)
Professional Experience
- Researcher, Natural Language Processing Lab, Wentworth Institute of Technology (2024–Present)
- Tutor, Success Studio, Wentworth Institute of Technology (2023)
- Graduate Ambassador, Graduate Admissions Office, Wentworth Institute of Technology (2022–2023)
Research Interests
- Artificial Intelligence
- Natural Language Processing
- Machine Learning
- Large Language Models
- Prompt Engineering
- Genetic Algorithms
- Statistical Relational AI
- Optimization Algorithms
Awards & Honours
- President’s Award for Academic Excellence and Co-Curricular Involvement
- Winner, Hanley Business Tour
Selected Publications
- Enhancing Mathematical Reasoning in GPT-J Through Topic-Aware Prompt Engineering – ACM UMAP 2025 (2025)
DOI: 10.1145/3708319.3733807 - Two Genetic Algorithms for Final Exam Scheduling – ACMLC 2024 (2024)
DOI: 10.1145/3690771.3690798 - Nested Fitness Functions in Genetic Algorithms for Exam Scheduling – ICAIA 2024 (2024)
DOI: 10.1007/978-981-97-8074-7_22 - Utilizing Machine Learning Algorithms for Crop Improvement and Their Significance in Africa – SIAIA-24 (2024)
Conclusion
Lev Sukherman is an emerging researcher in computer science with expertise in artificial intelligence, natural language processing, and machine learning. His research contributions in large language models, optimization algorithms, and AI applications have been presented at leading international conferences. Through his academic achievements and active research involvement, he continues to contribute to advancing intelligent computing and data-driven technologies.