Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

Prof. Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

Professor at Samara National Research University, Russia

Summary:

Prof. Andrei Sukhov is a prominent scholar with extensive expertise in theoretical physics, telecommunications, and network technologies. He completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute and pursued postgraduate research at Moscow State Pedagogical University, culminating in a Candidate of Physical and Mathematical Sciences degree in 1993. Furthering his academic credentials, he earned a Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008. Prof. Sukhov has held significant academic and professional roles, including Assistant Professor, Senior Lecturer, and Associate Professor at various institutions, culminating in his current positions as a Professor at Samara University and the School of Computer Engineering, HSE University. He has also made notable contributions to the telecommunications sector through roles such as Technical Director of the Samara Regional Network for Science and Education and Director of LLC SPC “Internet TV.” With a robust research portfolio focused on network security, computer networks, and telecommunication systems, Prof. Sukhov has supervised numerous postgraduate students and is a Senior Member of the Association for Computing Machinery (ACM) and an IEEE member. His contributions to both academia and industry reflect his commitment to advancing knowledge and technology in his fields of expertise.

Profile:

Education:

Prof. Andrei Sukhov completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute, graduating in 1987. He continued his academic journey with postgraduate studies at Moscow State Pedagogical University from 1990 to 1993. During this period, he earned his Candidate of Physical and Mathematical Sciences degree in theoretical physics from the Research Center for the Study of Surface Properties and Vacuum, Gosstandart, in 1993. Further advancing his expertise, Prof. Sukhov obtained his Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008.

Professional Experience:

Prof. Andrei Sukhov boasts a distinguished career in both academia and industry. He began his academic journey as an Assistant at the Department of Theoretical Physics at Kuibyshev Pedagogical Institute (1987-1990), advancing to a Senior Lecturer role at Samara Pedagogical Institute (1993-1996). He furthered his research as a Senior Researcher at Samara State University (1994-1996) before serving as an Associate Professor at Samara State Aerospace University (1996-2001). Prof. Sukhov played a pivotal role as Head of the Laboratory of Network Technologies at SamGAPS (SamIIT) from 2001 to 2007. Since 2008, he has been a Professor at Samara University, contributing significantly to the Department of Supercomputers and General Informatics. His expertise is further recognized through his role as a Professor at the School of Computer Engineering, HSE University, since October 2019. In addition to his academic positions, Prof. Sukhov has made substantial contributions to the telecommunications sector, founding Samara Internet LLC, serving as Technical Director of the Samara Regional Network for Science and Education, and holding leadership roles at OOO “Polyus” and LLC SPC “Internet TV.” His professional experience reflects a deep commitment to advancing telecommunications and network technologies.

Research Interests:

Prof. Andrei Sukhov’s research interests encompass a wide range of topics within network security, computer networks, and telecommunication systems. He focuses on advancing the security and efficiency of network infrastructures, investigating novel methods to enhance the protection and reliability of computer networks. His work also explores the integration of telecommunication systems with scientific research, aiming to improve information support and facilitate cutting-edge developments in the field. Additionally, Prof. Sukhov examines investments in the telecommunications sector, analyzing their impact on technological advancement and infrastructure development. His research contributions are driven by a commitment to addressing both theoretical and practical challenges in these critical areas.

Skills:

Prof. Andrei Sukhov possesses a diverse skill set that enhances his expertise in theoretical physics, telecommunications, and network technologies. He is proficient in advanced research methodologies and analytical techniques essential for network security and computer network design. His technical skills include a deep understanding of telecommunication systems and their integration with scientific research. Prof. Sukhov is adept at managing and developing communication networks, having held significant roles in both academia and industry. His experience extends to supervising and mentoring students, as well as leading complex research projects. Additionally, his leadership skills are demonstrated through his roles in founding and directing telecommunications ventures, reflecting his ability to drive innovation and technological advancement in the field.

Publications:

AGRA: AI-augmented geographic routing approach for IoT-based incident-supporting applications

  • Authors: D Chemodanov, F Esposito, A Sukhov, P Calyam, H Trinh, Z Oraibi
  • Journal: Future Generation Computer Systems
  • Year: 2019
  • Volume: 92
  • Pages: 1051-1065
  • Citations: 41

Generating a function for network delay

  • Authors: AM Sukhov, MA Astrakhantseva, AK Pervitsky, SS Boldyrev, AA Bukatov
  • Journal: Journal of High Speed Networks
  • Year: 2016
  • Volume: 22
  • Issue: 4
  • Pages: 321-333
  • Citations: 33

Network attack detection at flow level

  • Authors: AA Galtsev, AM Sukhov
  • Conference: Conference on Smart Spaces
  • Year: 2011
  • Pages: 326-334
  • Citations: 33

Towards an analytical model for characterising behaviour of high-speed VVoIP applications

  • Authors: S Andrei, C Prasad, D Warren, I Alexander
  • Journal: CMST
  • Year: 2005
  • Volume: 11
  • Issue: 2
  • Pages: 161-167
  • Citations: 30

A constrained shortest path scheme for virtual network service management

  • Authors: D Chemodanov, F Esposito, P Calyam, A Sukhov
  • Journal: IEEE Transactions on Network and Service Management
  • Year: 2018
  • Volume: 16
  • Issue: 1
  • Pages: 127-142
  • Citations: 28

Rank distribution for determining the threshold values of network variables and the analysis of DDoS attacks

  • Authors: AM Sukhov, ES Sagatov, AV Baskakov
  • Journal: Procedia Engineering
  • Year: 2017
  • Volume: 201
  • Pages: 417-427
  • Citations: 18

Simulation technique for available bandwidth estimation

  • Authors: TG Sultanov, AM Sukhov
  • Conference: 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation
  • Year: 2010
  • Pages: 1-6
  • Citations: 18

Active flows in diagnostic of troubleshooting on backbone links

  • Authors: AM Sukhov, DI Sidelnikov, AP Platonov, MV Strizhov, AA Galtsev
  • Journal: Journal of High Speed Networks
  • Year: 2011
  • Volume: 18
  • Issue: 1
  • Pages: 69-81
  • Citations: 16

Oluwafemi Oke | Intrusion Detection | Best Researcher Award

Mr. Oluwafemi Oke | Intrusion Detection | Best Researcher Award

PhD, Near East University, Cyprus

🏆 Mr. Oluwafemi Oke, recipient of the Best Researcher Award, has demonstrated exceptional expertise in Intrusion Detection. Holding a PhD from Near East University in Cyprus, he has contributed significantly to the field through his innovative research endeavors. Oke’s work showcases a profound understanding of cybersecurity challenges, particularly in identifying and mitigating intrusion attempts. His dedication to advancing knowledge in this domain is evident in his groundbreaking contributions, earning him widespread recognition among peers and industry professionals. Oke’s accomplishments serve as a testament to his unwavering commitment to excellence and his invaluable contributions to the field of cybersecurity. 🌟

Profile

Orcid

Research Experience

🔬 With a diverse research background, spanning from machine learning to AI applications in climate science and beyond, the journey of the versatile Research Assistant, Daxlinks, began in 2020. Pioneering a novel approach in deep learning techniques, they achieved a remarkable 45% enhancement in user engagement accuracy. Transitioning to GIFA INC in 2021, they delved into groundbreaking AI research intersecting with climate science and finance, achieving an impressive 85% accuracy in financial market forecasting. Their tenure as a Research Scientist at Near East University in 2022 was marked by significant contributions to image and video analysis algorithms, natural language understanding, and the development of AI-based predictive maintenance systems, resulting in notable efficiency gains and patents. 🚀

Professtional Experience

🤖 With a rich history spanning various industries, the career of the adept AI Engineer, Cadbury Plc, commenced in 2015, marked by the development and deployment of AI solutions across retail, healthcare, and finance sectors. Their expertise in machine learning drove a notable 23% accuracy boost in image and speech recognition systems. Transitioning to consultancy as an AI Consultant at Corporate Affairs Commission in 2017, they provided invaluable guidance and conducted workshops on machine learning, deep learning, and model building. As a Data Scientist at NEU Cardiac Centre in 2020, they achieved a remarkable 94% accuracy in cancerous cell identification through machine learning, alongside leveraging NLP for targeted marketing strategies. Their role as a Machine Learning Engineer at Harvest in 2022 witnessed pioneering efforts in recommendation systems and autonomous vehicle navigation, culminating in substantial user engagement enhancements and accuracy gains, respectively. 🚀

Education

🎓 With an impressive academic journey, the individual commenced their educational pursuit at Babcock University in July 2016, earning a Bachelor of Science in Computer Engineering. Their undergraduate project focused on Radio Frequency Identification in Doors, showcasing early interest in emerging technologies. Advancing their expertise, they pursued a Master of Science in Computer Science (Software Engineering) at Babcock University, completing in August 2020, with a project titled Hybrid Intelligent Internet of Things (IoT) Systems for Automated Homes, highlighting a fusion of IoT and intelligent systems. Currently, they are pursuing a Doctor of Philosophy in Computer Information Systems (Artificial Intelligence) at Near East University, marking a dedication to advancing knowledge in AI. 📚

Publications 

Publication Title: The Role of AI in Financial Services: A Bibliometric Analysis
DOI: 10.1080/08874417.2024.2304545
Year: 2024
Journal: Journal of Computer Information Systems

Publication Title: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING USING LEARNING MANAGEMENT SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
DOI: 10.33407/itlt.v95i3.5233
Year: 2023
Journal: Information Technologies and Learning Tools