Dr. Mahdi Madani – Cryptography – Best Researcher Award

Dr. Mahdi Madani - Cryptography - Best Researcher Award

Imvia laboratory, University of Burgundy Europe - France

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📜 Early academic pursuits

Mahdi Madani began his academic journey with a strong foundation in electrical engineering, obtaining his license from the university of science and technology houari boumediene (usthb) in algeria from 2007 to 2010. his keen interest in telecommunication networks and multimedia led him to pursue a master’s degree at usthb, which he successfully completed in 2012. his academic aspirations further elevated when he moved to france and pursued his doctorate in electronic systems and information security at the lcoms laboratory, university of lorraine, metz, from 2015 to 2018. this phase laid a solid foundation for his future contributions to electronic systems, cryptography, and information security.

💼 Professional endeavors

Mahdi Madani has established a strong academic and professional career, beginning as a phd student at the lcoms laboratory, university of lorraine, from 2015 to 2018, where he gained profound expertise in information security and electronic systems. following this, he served as a temporary teaching and research assistant at the department of rt, iut auxerre, university of burgundy from 2018 to 2020, and later moved to the department of geii, iut nantes, university of nantes from 2020 to 2022. in september 2022, he was appointed as an associate professor in section cnu 61 at the imvia laboratory, ufr st university of burgundy, dijon, where he continues to contribute significantly to both teaching and research.

🔬 Contributions and research focus

Mahdi Madani’s research interests are centered around chaos-based information hiding and security, chaos-based cryptosystems, and mobile network security for various generations such as 2g, 3g, and 4g. his expertise extends to algorithm/architecture suitability, real-time encryption and decryption, and fpga/soc design and implementation. additionally, he has significantly contributed to the fields of signal processing in text, image, and video formats, as well as embedded deep-learning applications. his work focuses on ensuring high-level security in mobile networks and enhancing system efficiency through advanced cryptographic techniques.

🏅 Accolades and recognition

Mahdi Madani’s exceptional academic and research performance is reflected through his impressive scientific production, which includes 10 international journal papers, 10 articles in international conferences, and 3 articles in national conferences. his scholarly contributions have garnered recognition within the research community, further strengthening his reputation as a leading researcher in the domain of electronic systems and information security. his valuable role as a co-supervisor for doctoral theses, master-2 research projects, and his involvement in guiding future researchers have also added to his academic accomplishments.

🌍 Impact and influence

Mahdi Madani’s research and professional contributions have significantly influenced the fields of information security, mobile network security, and electronic systems. his practical work in real-time encryption and decryption using chaos-based cryptography has greatly impacted the development of secure communication systems. his active participation in international conferences and collaborations has fostered global knowledge exchange and innovation in his field. in addition, his teaching expertise in advanced programming, embedded systems, and iot has inspired numerous students to delve into the realm of electronics and security.

🧠 Legacy and future contributions

With a robust academic and professional background, mahdi madani’s legacy is firmly established in the domains of electronic systems and mobile network security. his future endeavors aim to further revolutionize the field of chaos-based cryptosystems and embedded deep-learning applications. by continuing to supervise doctoral theses, conduct innovative research, and participate in collaborative projects, he aspires to advance the standards of information security and contribute to the academic development of aspiring researchers in the field. his role as an associate professor at the university of burgundy allows him to consistently drive positive academic and technological impact.

Notable Publications 

  • Title: Hardware and Secure Implementation of Enhanced ZUC Stream Cipher Based on Chaotic Dynamic S-Box
    Author(s): M Madani, EB Bourennane, S El Assad
    Journal: Advances in Science, Technology and Engineering Systems Journal, 2025

  • Title: An Efficient Design and FPGA Implementation of a Hyper-Chaotic and Deep Learning Based PRNG for Image Security Application
    Author(s): Y Alloun, MS Azzaz, A Kifouche, M Madani, EB Bourennane
    Journal: 2024 1st International Conference on Electrical, Computer, Telecommunication, 2024

  • Title: FPGA Implementation of AES-Based on Optimized Dynamic S-Box
    Author(s): MMEBB Calvo Mayaud´on Haroldo, Nakojah Chris David
    Journal: Proceedings of the 21st International Conference on Security and Privacy, 2024

  • Title: Visually Image Encryption based on Efficient Deep Learning Autoencoder
    Author(s): M Abdelmalek, A Harhoura, I Elaloui, M Madani, EB Bourennane
    Journal: 2nd International Conference on Education & Information Technology, 2024

  • Title: High-Throughput MPSoC Implementation of Sparse Bayesian Learning Algorithm
    Author(s): J Wang, EB Bourennane, M Madani, J Wang, C Li, Y Tai, L Wang, F Yang
    Journal: Electronics, 2024

Dr. Ahmed Abubakar Aliyu – Intrusion Detection Systems – Best Researcher Award

Dr. Ahmed Abubakar Aliyu - Intrusion Detection Systems - Best Researcher Award

Kaduna State University - Nigeria

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ORCID

Early academic pursuits 🎓

Dr. Ahmed Abubakar Aliyu’s academic journey has been driven by a deep passion for education and cultural exchange. after completing his undergraduate studies, he pursued higher education with a focus on education, science, and technology. he recognized the transformative power of education and sought to integrate the best practices from diverse cultures. his studies emphasized global learning systems, and he actively sought ways to bring innovative teaching methods to nigeria, with a vision to bridge the educational gap through international cooperation.

Professional endeavors 🌍

Dr. Aliyu’s professional career has been marked by a commitment to higher education development and global partnerships. one of his most significant professional undertakings is his involvement in establishing the chinese-nigerian university (cnu) in kaduna, nigeria. as a key figure in this project, he has worked tirelessly to bring the vision of a world-class institution focused on science, technology, engineering, and mathematics (stem) to life. the university aims to integrate china’s advanced educational methods and technologies into the nigerian context, ensuring students receive a top-tier education. his role has been instrumental in designing the curriculum, fostering international collaborations, and ensuring the university’s sustainability and growth.

Contributions and research focus 🔬

Dr. Aliyu's research interests are centered on educational innovation, particularly in the context of cross-cultural exchanges and global learning environments. he has contributed significantly to the development of curricula that combine chinese educational excellence with nigerian cultural values. his research also focuses on Intrusion Detection Systems exploring ways to enhance teaching through digital classrooms, interactive learning platforms, and cutting-edge technologies. his contributions are pivotal in shaping the educational landscape of nigeria and africa, especially in terms of leveraging international cooperation to address local educational needs.

Accolades and recognition 🏅

Dr. Aliyu has been recognized for his visionary approach to education and his efforts in establishing an institution that blends chinese and nigerian educational strengths. his work has been celebrated by both chinese and nigerian academic and governmental bodies. the chinese-nigerian university has been lauded as a Intrusion Detection Systems model of international collaboration, with dr. aliyu’s leadership and vision playing a crucial role in its success. his accolades include awards for academic excellence, leadership in educational development, and his role in strengthening china-nigeria relations through education.

Impact and influence 🌐

Dr. Aliyu’s work is having a lasting impact on nigeria’s educational and economic landscape. by founding a university that not only provides world-class education but also promotes cultural understanding between china and nigeria, he is fostering greater collaboration between the two nations. his efforts are helping to create a Intrusion Detection Systems generation of students who are well-equipped to thrive in a globalized economy. the chinese-nigerian university is expected to be a key player in driving technological innovation, research, and economic development, positioning nigeria as a leader in africa’s education sector.

Legacy and future contributions 🌱

Dr. Aliyu’s legacy will be one of transformation in the african educational sector, with the chinese-nigerian university serving as a beacon of learning, cultural exchange, and innovation. his future contributions are focused on ensuring the university’s continued success and expanding its influence globally. he aims to create partnerships with other top universities and industries to drive research and technological advancements that will benefit africa and the world. his work will continue to inspire future generations of leaders who prioritize education, cultural exchange, and global cooperation as essential tools for development.

Notable Publications 

  • Title: Collaborate SLM and LLM with latent answers for event detection
    Authors: Yan, Y., Liu, J., Ji, D., Wang, X., Pan, J.Z.
    Journal: Knowledge-Based Systems, 2024, 305, 112684
  • Title: Intelligent load balancing in data center software-defined networks
    Authors: Gilliard, E., Liu, J., Aliyu, A.A., Jing, H., Wang, M.
    Journal: Transactions on Emerging Telecommunications Technologies, 2024, 35(4), e4967
  • Title: Knowledge graph reasoning for cyber attack detection
    Authors: Gilliard, E., Liu, J., Aliyu, A.A.
    Journal: IET Communications, 2024, 18(4), pp. 297–308
  • Title: Knowledge graph-guided object detection with semantic distance network
    Authors: Gilliard, E., Liu, J., Aliyu, A.A.
    Journal: Electronics Letters, 2023, 59(24), e13051
  • Title: Blockchain-Based Smart Farm Security Framework for the Internet of Things
    Authors: Aliyu, A.A., Liu, J.
    Journal: Sensors, 2023, 23(18), 7992

Prof. Arash Habibi Lashkari – Cybersecurity – Best Researcher Award

Prof. Arash Habibi Lashkari - Cybersecurity - Best Researcher Award

York University - Canada

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SCOPUS 

Early academic pursuits 🎓

Arash Habibi Lashkari’s academic journey began with a bachelor’s degree in computer science specializing in software engineering from islamic azad university (iau). his passion for computer networks led him to pursue a master’s degree in computer science at the university of malaya (um), where he focused on network security. his academic curiosity then deepened, culminating in a doctorate in computer science with a focus on information security from the university of technology malaysia (utm). his early education set a strong foundation for his future contributions to the field of cybersecurity, particularly in behavioral and network-based security solutions.

Professional endeavors 🏢

Arash’s professional career reflects a steady ascent through prestigious academic and research positions. currently, he holds the esteemed position of canada research chair (crc) in cybersecurity at york university, where he also serves as an associate professor in the school of information technology. additionally, he founded the behavior-centric cybersecurity center (bccc) at york, demonstrating his commitment to advancing cybersecurity research. prior to this, he made significant contributions as a professor and research coordinator at the canadian institute for cybersecurity at the university of new brunswick (unb). his global influence extends to the united states, where he is an adjunct professor at north carolina a&t state university.

Contributions and research focus 🔬

Arash’s research focuses on innovative cybersecurity methodologies, particularly in the areas of intrusion detection systems (ids), malware analysis, and network traffic behavior. his work includes the development of groundbreaking cybersecurity datasets and analysis tools, such as the darknet analyzer package and iot malware analysis systems. his recent projects involve integrating artificial intelligence with cybersecurity solutions, focusing on malware detection, phishing Cybersecurity classification, and analyzing attackers’ behaviors. his research has enhanced the understanding of cybersecurity threats and has led to the development of new, cutting-edge solutions to combat these threats.

Accolades and recognition 🏅

Arash’s extensive contributions to cybersecurity have earned him numerous accolades. one of the most notable is being selected as one of the top 150 researchers in canada during his postdoctoral fellowship. his work on cybersecurity datasets has been globally recognized, with many institutions utilizing his contributions in Cybersecurity academic and industrial research. his leadership in producing widely-used datasets has positioned him as a key figure in the field of cybersecurity research, particularly in canada, where his work is integral to both academic and industrial sectors.

Impact and influence 🌍

Arash’s research has had a far-reaching impact on both the academic and industrial fields of cybersecurity. his development of tools and datasets has not only Cybersecurity advanced academic research but has also influenced practical applications in various industries, including partnerships with companies like lockheed martin and bell aliant. his work on cybersecurity risk analysis has played a crucial role in identifying and mitigating cybersecurity risks in diverse sectors, from government agencies to financial institutions. he has also contributed to education through the supervision of phd, msc, and postdoctoral students, fostering the next generation of cybersecurity experts.

Legacy and future contributions 🔮

Arash Habibi Lashkari’s legacy is one of innovation and leadership in the field of cybersecurity. his efforts in combining artificial intelligence with traditional cybersecurity methods continue to influence new research and industry practices. as the founder of the behavior-centric cybersecurity center at york university, he is paving the way for further advancements in behavior-based threat detection. looking ahead, his research is expected to continue making significant contributions to cybersecurity, particularly in developing intelligent, adaptive security solutions that evolve with emerging cyber threats. his leadership ensures that his work will remain influential for years to come.

Notable Publications 

  • Title: A survey on run-time packers and mitigation techniques
    Authors: Alkhateeb, E., Ghorbani, A., Habibi Lashkari, A.
    Journal: International Journal of Information Security, 2024, 23(2), pp. 887–913
  • Title: Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis
    Authors: Alkhateeb, E., Ghorbani, A., Habibi Lashkari, A.
    Journal: Information (Switzerland), 2024, 15(2), 102
  • Title: Detecting IMAP Credential Stuffing Bots Using Behavioural Biometrics
    Authors: Barkworth, A., Tabassum, R., Habibi Lashkari, A.
    Journal: ACM International Conference Proceeding Series, 2022, pp. 7–15
  • Title: Evaluating Deep Learning-based NIDS in Adversarial Settings
    Authors: Mohammadian, H., Habibi Lashkari, A., Ghorbani, A.A.
    Journal: International Conference on Information Systems Security and Privacy, 2022, pp. 435–444
  • Title: Detecting Obfuscated Malware using Memory Feature Engineering
    Authors: Carrier, T., Victor, P., Tekeoglu, A., Habibi Lashkari, A.
    Journal: International Conference on Information Systems Security and Privacy, 2022, pp. 177–188

Dr. Tai Fei – Information Engineering – Best Researcher Award

Dr. Tai Fei - Information Engineering - Best Researcher Award

Fachhochschule Dortmund - Germany

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Early academic pursuits 🎓

Tai Fei began his academic journey with a strong focus on signal processing and sonar technology. from september 2009 to november 2014, he pursued his ph.d. under the guidance of prof. dieter kraus at the university of bremen. his doctoral research was intricately linked to a project that involved the detection and classification of underwater targets using synthetic aperture sonar images. during this time, he collaborated with the signal processing group (spg) at the technical university of darmstadt, where prof. abdelhak zoubir served as his doctoral advisor. tai's academic foundation laid the groundwork for his future expertise in sonar technology and signal processing.

Professional endeavors 🏢

After completing his ph.d., tai fei expanded his research scope by joining the center for marine environmental sciences (marum) at the university of bremen. here, he applied his expertise in sonar technology to marine environmental research, contributing to the field of underwater target detection. his career took a turn towards the automotive industry in 2014 when he joined hella, a global leader in automotive technology. from march 2014 to october 2023, tai served as an expert in automotive radar, further broadening his experience in signal processing and its real-world applications. in november 2023, he transitioned to academia, taking on the role of interim professor at the dortmund university of applied sciences in the field of computer vision and robotics, assuming the responsibilities of prof. jörg theim.

Contributions and research focus 🔬

Tai Tei’s research primarily revolves around signal processing, sonar technology, and radar systems. during his doctoral studies, he contributed significantly to the development of algorithms for the detection and classification of underwater targets using synthetic aperture sonar. his work in this field extended to marine Information Engineering environmental research, where he applied sonar technology to study underwater environments. later, his expertise evolved into automotive radar, where he played a key role in the development of radar systems used in modern vehicles for safety and automation. his current research focus includes computer vision and robotics, where he integrates his deep understanding of signal processing into cutting-edge technological advancements.

Accolades and recognition 🏅

Tai’s work has been widely recognized in both the academic and industrial sectors. his contributions to sonar and radar technology have been instrumental in advancing both marine environmental sciences and automotive safety. his transition to academia as an interim professor at the dortmund university of applied Information Engineering sciences is a testament to his recognition as a leading expert in his field. throughout his career, he has worked alongside esteemed professors such as prof. dieter kraus and prof. abdelhak zoubir, further validating his standing in the scientific community.

Impact and influence 🌍

Tai fei’s impact spans multiple industries and disciplines. his early work on synthetic aperture sonar has contributed to advancements in underwater target detection, Information Engineering with implications for both marine research and defense technologies. in the automotive industry, his expertise in radar systems has played a role in enhancing vehicle safety through the development of cutting-edge radar technologies. now, as an interim professor, he is poised to influence the next generation of researchers and engineers, shaping the future of computer vision and robotics.

Legacy and future contributions 🔮

Tai’s legacy is defined by his interdisciplinary expertise and his ability to transition between academia and industry. his work in signal processing, sonar, and radar technology will continue to influence both marine and automotive fields. as he takes on a more prominent academic role, his future contributions are likely to expand into the realms of computer vision and robotics, further bridging the gap between theoretical research and practical applications. his commitment to innovation ensures that his impact will be long-lasting and far-reaching.

Notable Publications

  1. Title: Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
    Authors: Y. Sun, T. Fei, X. Li, A. Warnecke, E. Warsitz, N. Pohl
    Journal: IEEE Sensors Journal, 1-11, 2020
  2. Title: Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
    Authors: T. Fei, D. Kraus, A.M. Zoubir
    Journal: IEEE Transactions on Geoscience and Remote Sensing 53 (1), 505-518, 2014
  3. Title: Gesture Classification with Handcrafted Micro-Doppler Features using a FMCW Radar
    Authors: Y. Sun, T. Fei, F. Schliep, N. Pohl
    Journal: 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Systems, 2018
  4. Title: Automatic Radar-based Gesture Detection and Classification via a Region-based Deep Convolutional Neural Network
    Authors: Y. Sun, T. Fei, S. Gao, N. Pohl
    Journal: ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
  5. Title: A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems
    Authors: Y. Sun, T. Fei, N. Pohl
    Journal: IEEE Sensors Journal 19 (23), 11346-11358, 2019