Work with thought leaders and academic experts in Computational Theory and Mathematics

Companies can greatly benefit from working with experts in Computational Theory and Mathematics. These professionals possess advanced skills in data analysis, algorithm development, and problem-solving. By collaborating with them, companies can enhance their decision-making processes, optimize their operations, and develop innovative solutions. Computational Theory and Mathematics experts can also help companies improve their data security measures, identify patterns and trends in large datasets, and optimize complex systems. With their expertise, companies can gain a competitive edge in various industries, including finance, healthcare, technology, and logistics.

Researchers on NotedSource with backgrounds in Computational Theory and Mathematics include Ping Luo, Edoardo Airoldi, Dr. Justin Whalley, Ph.D, Jeffrey Townsend, Dmitry Batenkov, Ph.D., Oguzhan Kulekci, Denys Dutykh, Abbas Alameer, Hector Klie, Osaye Fadekemi, PhD, Anindya Ghose, and Suhang Wang.

Dr. Justin Whalley, Ph.D

North Chicago, Illinois, United States of America
Assistant Professor of Bioinformatics, with experience in finding the quintessential features in large, multi-layered 'omic datasets.
Most Relevant Research Expertise
Computational Theory and Mathematics
Other Research Expertise (19)
Tensor decomposition
And 14 more
Dr. Justin P. Whalley was educated in the UK (M.Sci. Mathematics, University of Bristol) and France (Ph.D. Bioinformatics, University of Évry). He moved to Spain to work as a postdoc at the National Center for Genomic Analysis (CNAG). During his time there, he ran the Quality Control working group for the Pan-Cancer Analysis of Whole Genomes project to assess the data coming in and reduce batch effects. This involved collaboration with researchers from the Broad Institute of MIT and Harvard, the German Cancer Research Center and the Wellcome Sanger Institute in the UK. He returned to the UK to work as a [Senior Bioinformatician at the University of Oxford]( His time there coincided with the global pandemic and he was deeply involved in the COvid-19 Multi-omics Blood ATlas (COMBAT) consortium as the lead for the Integration (Tensor) working group. Dr. Whalley became a member of the [faculty of the Chicago Medical School at Rosalind Franklin University of Medicine and Science]( in January 2023.

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Oguzhan Kulekci

Algorithm Engineer, Security/Privacy Researcher, Combinatorial Problem Solver
Most Relevant Research Expertise
Computational Theory and Mathematics
Other Research Expertise (21)
pattern matching
data compression
security & privacy
And 16 more
My main expertise is in solving computational challenges with an innovative algorithm engineering approach. For more than two decades, I have been studying on such challenges originating from different fields mainly in cryptography and data security, natural language processing, information retrieval, computational biology, data compression and coding, massive data management, and most recently focusing on scalability and security aspects of ML/AI algorithms. I have been devising efficient innovative solutions and/or improving current state-of-art in terms of resource usage, e.g., time, memory, energy, communication costs. I would like to provide a summary of my previous achievements in engineering, research, and administration. Engineering Expertise: After spending around two years on programming point-of-sales devices and regular database programming, I have spent 10+ years in cryptography, where the main focus had been efficient implementation and cryptanalysis of the security&privacy algorithms and protocols both in hardware and software. During those years, despite gaining experience on how to develop programs that run fast and/or with small memory footprint, I had the chance to work with talented mathematicians and hardware engineers, that gave me the opportunity to widen my knowledge on different dimensions, including reverse engineering and FPGA/ASIC design. I also learned a lot on how to develop projects with a team of talent coming from different disciplines. I have observed, and today strongly believe, that theoretical knowledge is vital, but never enough to built efficient systems in practice. The platform that the solution will be executed on and the properties of the input data should always be considered for ground-breaking progress in practical performance. Theory without practice, or vice versa, is akin to trying to fly with one wing. In that sense, the development of the fastest pattern matching solutions and innovating patents that are licensed to companies have been exemplary outcomes of my perspective. Academic Expertise: Following my 15+ years in industry, I joined academia and have been serving as a professor of computer sci- ence. I succeeded to get several research grants and have been also serving in the committees of conferences. Actually, I started publishing in scientific venues when I was with the industry as well. I did my phd on natu- ral language processing, after which I got more engaged with combinatorial algorithms. I mostly published on data compression, combinatorial pattern matching and applications of them on computational biol- ogy/bioinformatics. Most recently, I have been studying scalablity and security aspects in ML/AI systems as well as in information retrieval. I have also experience in massive data management and analysis. I have been teaching courses on algorithms, security/privacy, and related topics. Administrative Expertise: After engineering cryptography for many years, I changed my focus to computational biology, particularly the genomics area. I have served as the deputy director of the National Institute of Genetics and Biotechnology of Turkey for two years, during which I was responsible for the establishment of the first high-throughput DNA sequencing facility of the country. That leadership equipped me with a unique experience of leading an interdisciplinary project with people from computing and life sciences disciplines. The establishment of the lab was supported with more than 2 million dollars grant by the government and was successfully completed in two years. Another leadership experience I had was being the program coordinator of the graduate programs in my university for more than four years. I was responsible by curriculum development and hiring new faculty. I have also served previously as principal investigator in research projects, lead research labs, and delivered project lead positions in industry projects.

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Osaye Fadekemi, PhD

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Most Relevant Research Expertise
Computational Theory and Mathematics
Other Research Expertise (12)
Graph Theory
Network Modeling
Disease Modeling
Discrete Mathematics and Combinatorics
Theoretical Computer Science
And 7 more
Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

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Example Computational Theory and Mathematics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computational Theory and Mathematics?

Optimizing Supply Chain Operations

A company in the logistics industry can collaborate with a Computational Theory and Mathematics expert to optimize their supply chain operations. By analyzing large datasets and applying advanced algorithms, the expert can identify bottlenecks, optimize routes, and minimize costs. This collaboration can lead to improved efficiency, reduced delivery times, and increased customer satisfaction.

Developing Fraud Detection Systems

In the finance industry, a company can benefit from working with a Computational Theory and Mathematics expert to develop fraud detection systems. The expert can analyze transaction data, identify patterns of fraudulent activities, and create algorithms to detect and prevent fraud. This collaboration can help the company protect its assets, reduce financial losses, and maintain the trust of its customers.

Predictive Analytics in Healthcare

A healthcare organization can collaborate with a Computational Theory and Mathematics expert to leverage predictive analytics. By analyzing patient data, the expert can develop models to predict disease outcomes, identify high-risk patients, and optimize treatment plans. This collaboration can lead to improved patient care, reduced healthcare costs, and better resource allocation.