Work with thought leaders and academic experts in Discrete Mathematics and Combinatorics

Companies can benefit from working with experts in Discrete Mathematics and Combinatorics in various ways. These experts can provide valuable insights and solutions to complex problems, optimize processes and algorithms, improve data analysis and decision-making, enhance network and graph theory applications, and develop efficient optimization models. Their expertise can be applied in diverse industries such as computer science, telecommunications, logistics, finance, cybersecurity, and healthcare. By collaborating with these thought leaders, companies can gain a competitive edge, improve efficiency, and make data-driven decisions.

Researchers on NotedSource with backgrounds in Discrete Mathematics and Combinatorics include Dmitry Batenkov, Ph.D., Denys Dutykh, Osaye Fadekemi, PhD, Oguzhan Kulekci, Wesley R. Hartmann, Robert Granat, Ph.D., Syed Ishtiaque Ahmed, and Dr. Kevin Berkopes.

Osaye Fadekemi, PhD

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Most Relevant Research Expertise
Discrete Mathematics and Combinatorics
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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Oguzhan Kulekci

Algorithm Engineer, Security/Privacy Researcher, Combinatorial Problem Solver
Most Relevant Research Expertise
Discrete Mathematics and Combinatorics
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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Robert Granat, Ph.D.

Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing
Most Relevant Research Expertise
Discrete Mathematics and Combinatorics
Other Research Expertise (30)
Remote Sensing
Machine Learning
GHG Measurement
Atmospheric Science
And 25 more
Robert Granat, Ph.D. is a highly accomplished machine learning and remote sensing expert with extensive experience in research and development. He received his Ph.D. in Electrical Engineering in 2004 and his M.S. in Electrical Engineering in 1998. He has held various leadership positions in both academia and the private sector, including CTO and Head of Science at CarbonSpace Ltd, a company focused on developing novel methods for carbon measurement using satellite observations. Dr. Granat's expertise lies in the fields of machine learning, Earth science, and remote sensing technologies. He has a strong background in developing algorithms and software systems for remote sensing measurement technologies and data analysis. His work has been instrumental in advancing the understanding of climate change and its impacts on the environment. Prior to his work at CarbonSpace Ltd, Dr. Granat held several research positions at the Research Foundation of City University of New York and Jet Propulsion Laboratory (JPL). At JPL, he served as the Science Team Algorithms Lead for the OCO-2 mission, a satellite mission dedicated to measuring carbon dioxide levels in Earth's atmosphere. He also served as the Group Supervisor for the Machine Learning and Instrument Autonomy Group at JPL. Dr. Granat's contributions to the fields of machine learning, geophysics, and climate science have been recognized with numerous awards and publications. He is a member of several professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the American Geophysical Union (AGU). In addition to his professional achievements, Dr. Granat is also dedicated to sharing his knowledge and expertise with the next generation of engineers and scientists.

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Example Discrete Mathematics and Combinatorics projects

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

Optimizing Supply Chain Networks

A company in the logistics industry can collaborate with a Discrete Mathematics and Combinatorics expert to optimize their supply chain networks. By applying graph theory and optimization techniques, the expert can help the company minimize transportation costs, improve delivery routes, and enhance overall efficiency.

Data Analysis and Decision-Making

Companies in various industries can benefit from the expertise of Discrete Mathematics and Combinatorics researchers in data analysis and decision-making. These experts can develop algorithms and models to analyze large datasets, identify patterns, and make informed decisions based on the data-driven insights.

Network Security and Cryptography

In the field of cybersecurity, companies can collaborate with Discrete Mathematics and Combinatorics experts to enhance network security and develop robust cryptographic algorithms. These experts can help identify vulnerabilities, design secure communication protocols, and ensure data confidentiality and integrity.

Optimization Models in Finance

Financial institutions can leverage the expertise of Discrete Mathematics and Combinatorics researchers to develop optimization models for portfolio management, risk assessment, and trading strategies. These models can help optimize investment decisions, minimize risks, and improve overall financial performance.

Healthcare Resource Allocation

Discrete Mathematics and Combinatorics experts can assist healthcare organizations in optimizing resource allocation. By developing mathematical models and algorithms, these experts can help hospitals and clinics allocate resources such as beds, staff, and medical equipment efficiently, leading to improved patient care and cost savings.