Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

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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

Agerie Mengistie | Intrusion Detection | Best Researcher Award

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Ms. Agerie Mengistie | Intrusion Detection | Best Researcher Award

Intrusion Detection at College of Medicine and Health Sciences, University of Gondar, Ethiopia

Agerie Mengistie is a dedicated professional in the field of midwifery and maternal health, based in Gondar, Ethiopia. With a Bachelor of Science in Midwifery from the University of Gondar and a Master’s degree in Clinical Midwifery from Bahir Dar University, she has honed her expertise in providing comprehensive maternity healthcare services. Currently serving as a Lecturer and Researcher at the University College of Tedda Health Sciences, she plays a pivotal role in monitoring and enhancing the quality of public health research activities. Agerie has a passion for research and has successfully conducted thesis work at both undergraduate and postgraduate levels, demonstrating her commitment to advancing knowledge in her field. With a strong foundation in research methodology and proficiency in statistical software, she is well-equipped to contribute to evidence-based practices and improve maternal health outcomes in Ethiopia.

Profile:

Education

Ms. Agerie Mengistie holds a Master’s degree in Clinical Midwifery (MSc) from Bahir Dar University, Ethiopia, which she completed between February 2014 and June 2016. Prior to her Master’s degree, she obtained a Bachelor of Science in Midwifery (BSc) from the University of Gondar, Ethiopia, from May 2009 to March 2012. These academic qualifications have equipped her with a solid foundation in midwifery and clinical practices, enabling her to pursue a career focused on maternal and reproductive health.

Professional Experience

Ms. Agerie Mengistie has accumulated valuable professional experience in the field of midwifery and healthcare. Since May 2016, she has served as a Lecturer and Researcher in Clinical Midwifery at the University College of Tedda Health Sciences in Gondar, Ethiopia. In this role, she has undertaken various responsibilities, including monitoring and coordinating quality public health research activities, conducting and supervising thesis work for both undergraduate and postgraduate students, assisting senior professors in teaching and research, and contributing to manuscript preparation for peer-reviewed journals. Additionally, Ms. Mengistie has been actively involved in community diagnosis research as part of a team training program, providing research methodology training, and monitoring and evaluating public health services. Her commitment to education and research has significantly contributed to the advancement of midwifery education and healthcare services in her community.

Research Interest

Ms. Agerie Mengistie’s research interests lie in the intersection of midwifery, maternal healthcare, and public health. Specifically, she is passionate about exploring topics related to improving maternal and neonatal health outcomes, enhancing the quality of midwifery care, and advancing evidence-based practices in midwifery education and clinical practice. She is keen on conducting research that addresses key challenges in maternal healthcare delivery, such as reducing maternal mortality and morbidity rates, promoting safe childbirth practices, and ensuring access to comprehensive reproductive health services. Additionally, Ms. Mengistie is interested in investigating innovative approaches to midwifery education and training, as well as exploring the impact of cultural, social, and economic factors on maternal and child health outcomes. Through her research endeavors, she aims to contribute to the development of effective strategies and policies aimed at improving maternal and neonatal health outcomes in Ethiopia and beyond.

Award and Honors

Ms. Agerie Mengistie has been recognized for her dedication and contributions in the field of midwifery and maternal healthcare. She was granted the Induced Abortion Service award by the Ethiopian Midwifery Association in 2018 for her outstanding service in this area. This recognition highlights her commitment to providing quality healthcare services to women in need and acknowledges her significant contributions to the field of midwifery.

Research Skills

Ms. Agerie Mengistie possesses a diverse set of research skills, enabling her to contribute effectively to the advancement of knowledge in the field of midwifery and maternal health. She is proficient in various statistical software including Stata, SPSS, Epi Info, and Epi data software, which enables her to analyze data with precision and accuracy. Additionally, she is skilled in conducting systematic reviews and meta-analyses, demonstrating her ability to synthesize and evaluate existing research literature comprehensively. Moreover, Ms. Mengistie has received training in research methodology, enhancing her capacity to design and execute high-quality research studies. Her proficiency in these research skills equips her to address complex research questions and contribute meaningfully to the evidence-based practice of midwifery.