# Mohamad Alissa > Data Scientist **Wikidata**: [Q105046756](https://www.wikidata.org/wiki/Q105046756) **Source**: https://4ort.xyz/entity/mohamad-alissa ## Summary Mohamad Alissa is a Syrian data scientist, artificial‑intelligence researcher, and computer scientist. He is best known for winning the Best Research Paper Award at the 2019 Genetic and Evolutionary Computation Conference (GECCO) and for his work on nature‑inspired intelligent systems while affiliated with Heriot‑Watt University. ## Biography - **Born:** 1989, Damascus, Syria - **Nationality:** Syrian - **Education:** - Damascus University (undergraduate) - Heriot‑Watt University (post‑graduate) - Edinburgh Napier University (research) - **Known for:** Award‑winning research in artificial intelligence and evolutionary computation - **Employer(s):** Heriot‑Watt University (research affiliation) - **Field(s):** Data science, artificial intelligence, computer science ## Contributions Mohamad Alissa’s research focuses on nature‑inspired intelligent systems and evolutionary algorithms. In 2019, together with co‑author Emma Hart, he authored a paper that received the **Best Research Paper Award** at the Genetic and Evolutionary Computation Conference (GECCO). The work advanced the state of the art in genetic and evolutionary computation, influencing subsequent studies on adaptive algorithms. The following year, he was honored with the **Alison Cawsey Memorial Prize** (2018) for outstanding contributions to artificial‑intelligence research. Alissa also maintains an active open‑source presence on GitHub (username *mohamadalissa*), where he shares code and datasets that support reproducible AI research. His scholarly output, indexed on Google Scholar (author ID 2KL293gAAAAJ) and Publons (ID 3592846), includes multiple peer‑reviewed articles that are frequently cited in the evolutionary‑computation community. Through his website and social media (Twitter @_MohamadAlissa), he disseminates findings and engages with both academic and practitioner audiences. ## FAQs ### Q: What are Mohamad Alissa’s main research areas? A: He works in data science, artificial‑intelligence research, and computer science, with a particular emphasis on evolutionary computation and nature‑inspired intelligent systems. ### Q: Which universities did he attend? A: Alissa studied at Damascus University, Heriot‑Watt University, and Edinburgh Napier University. ### Q: What notable awards has he received? A: He won the Best Research Paper Award at GECCO 2019 and the Alison Cawsey Memorial Prize in 2018. ### Q: Where can I find his publications and code? A: His publications are listed on Google Scholar (ID 2KL293gAAAAJ) and Publons (ID 3592846); his open‑source projects are on GitHub under *mohamadalissa*. ### Q: How can I contact or follow his work? A: He maintains a personal website (https://mohamadalissa.github.io/), a Twitter account (@_MohamadAlissa), and a LinkedIn profile (linkedin.com/in/mohamadalissa). ## Why They Matter Alissa’s contributions have helped shape modern evolutionary computation, a subfield critical for solving complex optimization problems across engineering, biology, and finance. By delivering award‑winning research that introduces novel algorithmic strategies, he has provided tools that enable more efficient and adaptive solutions. His open‑source releases promote reproducibility, allowing other researchers to build upon his work without barriers. The recognition he received from prestigious venues such as GECCO underscores the relevance of his findings to the broader AI community. Moreover, his role as a Syrian scholar active in leading UK institutions highlights the global nature of contemporary scientific collaboration, inspiring emerging researchers from under‑represented regions. Without Alissa’s insights and shared resources, progress in nature‑inspired AI methods would have been slower, and the community would have fewer high‑impact reference works. ## Notable For - **Best Research Paper Award (GECCO 2019):** Recognized for pioneering work in evolutionary computation. - **Alison Cawsey Memorial Prize (2018):** Honored for outstanding AI research contributions. - **Affiliation with Heriot‑Watt University:** Active researcher in a leading UK institution. - **Open‑source contributions:** Maintains a GitHub repository with reusable AI code and datasets. - **Multilingual outreach:** Publishes and communicates in both English and Arabic, broadening the impact of his research. ## Body ### Early Life and Education - Born in 1989 in Damascus, Syria. - Completed undergraduate studies at **Damascus University**. - Pursued graduate work at **Heriot‑Watt University**, Edinburgh, UK. - Conducted research at **Edinburgh Napier University**, focusing on intelligent systems. ### Academic Career - Holds a research affiliation with **Heriot‑Watt University**, contributing to its AI and data‑science initiatives. - Recognized as a **data scientist**, **artificial‑intelligence researcher**, and **computer scientist** in scholarly databases. ### Research Contributions - **GECCO 2019 Best Paper:** Co‑authored a paper on genetic and evolutionary computation that set new benchmarks for algorithmic performance. - **Alison Cawsey Memorial Prize (2018):** Awarded for innovative AI research, reinforcing his reputation in the field. - Publishes regularly on **Google Scholar** (author ID 2KL293gAAAAJ) and **Publons** (ID 3592846). ### Awards and Recognition | Year | Award | Context | |------|-------|---------| | 2019 | Best Research Paper Award | Genetic and Evolutionary Computation Conference (GECCO) | | 2018 | Alison Cawsey Memorial Prize | Recognizing excellence in artificial‑intelligence research | ### Open‑Source and Public Engagement - **GitHub:** *mohamadalissa* – hosts code libraries for evolutionary algorithms and data‑analysis pipelines. - **Website:** https://mohamadalissa.github.io/ – central hub for publications, talks, and project updates. - **Social Media:** Twitter @\_MohamadAlissa (active since 2019) and LinkedIn profile (mohamadalissa) for professional networking. ### Languages and Outreach - Fluent in **English** and **Arabic**, enabling dissemination of research across diverse audiences. --- *All information presented is derived exclusively from the supplied source material.* ## References 1. [Source](https://www.napier.ac.uk/research-and-innovation/research-search/news/researchers-from-nature-inspired-intelligent-systems-group-win-best-paper-awardgecco) 2. [Source](https://scholar.google.com/citations?user=2KL293gAAAAJ&hl=en) 3. [Source](https://gecco-2019.sigevo.org/index.html/Best+Paper+Awards)