Edith Cohen is a prominent figure in the field of computer science, particularly known for her contributions to algorithm design and analysis, optimization, and data structure. She has made significant advancements in various areas, including network design and resource allocation.

Franco P. Preparata is a notable figure in the field of computer science, particularly known for his contributions to computational geometry and algorithms. He is recognized for his work on various algorithmic problems, including those involving geometric data structures, intersection problems, and more. Preparata is also known for co-authoring the influential textbook "Computational Geometry: Algorithms and Applications," which has been widely used in both academic and practical contexts.

Ian Munro is a prominent computer scientist known for his contributions to the fields of computational theory, data structures, and algorithms. He is particularly recognized for his work in the design and analysis of algorithms, as well as for developing efficient data structures that support fast retrieval and manipulation of data. Munro has made significant contributions to various topics, including searching algorithms, complexity theory, and online algorithms. He is also known for his collaborative research efforts and has published numerous papers in prestigious academic journals and conferences.

Jan van Leeuwen (1632–1723) was a Dutch scientist and inventor, best known for his pioneering work in microscopy. He is often referred to as the "Father of Microbiology" due to his significant contributions to the field through his development of the microscope and his observations of microorganisms. Van Leeuwenhoek crafted high-quality lenses that allowed him to magnify objects up to 300 times their size.

Juhani Karhumäki is a mathematician known for his contributions to the fields of automata theory, formal languages, and discrete mathematics. He has been involved in research related to the mathematical aspects of computer science, particularly in the study of computational models and structures.

Katrina Ligett is a prominent researcher in the field of computer science, particularly known for her work in algorithms, privacy, and machine learning. She has made significant contributions to topics such as differential privacy, which is a framework for ensuring that the privacy of individuals in a dataset is maintained while still allowing for useful data analysis. Her work addresses the challenges of designing algorithms that can provide accurate results while protecting sensitive information.

Larry Stockmeyer is known for his contributions in the field of computer science, particularly in theoretical computer science and algorithms. He is well-regarded for his work on the complexity of algorithms, as well as in areas such as computational geometry and formal languages. One of his notable contributions is the "Stockmeyer complexity class," related to the problem of determining whether a given Boolean formula is satisfiable. However, he might not be as well-known in popular culture or mainstream discussions outside of academic contexts.

Leslie Ann Goldberg is a prominent computer scientist known for her contributions to the fields of theoretical computer science and algorithms. She has made significant advancements in areas such as randomized algorithms, approximation algorithms, and graph theory. Goldberg is also recognized for her work on algorithmic aspects of social networks, computational biology, and network design. In addition to her research, she has held academic positions at institutions like the University of Oxford and has authored numerous papers in her field.

Lov Grover is a computer scientist known for his work in quantum computing and algorithms. He is best known for developing Grover's algorithm, which is a quantum algorithm that provides a significant speedup for searching unsorted databases. Specifically, Grover's algorithm can search an unsorted database of \( N \) items in approximately \( \sqrt{N} \) time, compared to classical algorithms, which require \( O(N) \) time to search through the same database.

Martin Dyer is a prominent figure in the field of computer science, particularly known for his work in artificial intelligence, optimization, and machine learning. He has made significant contributions to various areas, including constraint satisfaction problems and algorithms for combinatorial optimization. His research often intersects with practical applications in areas such as operations research and decision-making processes.

As of my last knowledge update in October 2023, Michal Parnas does not appear to be a widely recognized public figure, concept, or term. It's possible that the name might refer to a private individual or a lesser-known topic that has not gained significant prominence in popular culture or academia. If you can provide more context or specify the area related to Michal Parnas (e.g., arts, science, literature, etc.

Mikhail Atallah may refer to different individuals or contexts, as names can be common. If you're referring to a specific person or field, please provide more context. For instance, Mikhail Atallah might be related to technology, academia, or another profession.

Narendra Karmarkar is an Indian mathematician and computer scientist, known for his contributions to optimization and algorithm design. He is best known for developing Karmarkar's algorithm in 1984, which is a polynomial-time algorithm for linear programming. This was a significant advancement in the field of optimization as it provided a more efficient way to solve linear programming problems compared to earlier methods like the Simplex algorithm.

Paritosh Pandya is not a widely recognized public figure or topic based on the information available up to October 2023. It's possible that he may be a private individual, a local personality, or someone who has gained attention after that date.

New Criticism is a literary theory and approach to reading and interpreting texts that emerged in the early to mid-20th century, primarily in the United States. It emphasizes close reading, focusing on the text itself rather than external factors such as the author's intentions, historical context, or biographical details. Key principles of New Criticism include: 1. **Textual Unity**: New Critics believe that a literary work should be analyzed as a self-contained entity.

Toniann Pitassi is a prominent figure in the field of computer science, particularly known for her work in computational complexity theory. She is a professor at the University of Toronto and has made significant contributions to understanding the relationships between various complexity classes and the power of different proof systems. Her research often intersects with topics like model theory, mathematical logic, and algorithmic game theory.

Computational complexity theory is a branch of theoretical computer science that studies the resources required for solving computational problems. The primary focus is on classifying problems according to their inherent difficulty and understanding the limits of what can be computed efficiently. Here are some key concepts and elements of computational complexity theory: 1. **Complexity Classes**: Problems are grouped into complexity classes based on the resources needed to solve them, primarily time and space.

Admissible numbering is a concept from recursion theory and mathematical logic, particularly in the study of computability and computable structures. An admissible numbering is a way of assigning natural numbers to objects in such a way that the properties and relationships of these objects can be effectively worked with or analyzed. More specifically, an admissible numbering is a type of coding that provides a systematic method to index or enumerate certain sets or classes of objects, typically in recursion theory or the theory of computable functions.

Cylindrification is a mathematical process that involves transforming a given space, often a manifold, into a cylindrical form. This transformation typically relates to the study of geometry and topology, where objects are studied under various continuous transformations. In a more specific mathematical context, cylindrification can refer to a method of creating a "cylinder" over a given space, which involves constructing a space that combines the original space with an additional dimension, often in a way that highlights certain properties or structures.

Hypercomputation refers to theoretical models of computation that extend beyond the capabilities of traditional Turing machines. While a Turing machine is a foundational concept in computer science that defines what can be computed algorithmically, hypercomputation explores computation models that can solve problems that are considered undecidable or non-computable by Turing machines.