Assist. Prof. Dr. Hyun-Seok Kim – Computer Science – Best Researcher Award 

Posted on by Innovator Awards

Assist. Prof. Dr. Hyun-Seok Kim - Computer Science - Best Researcher Award 

Dept. of Information and Security at ICT Polytech Institute of Korea - South Korea

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Hyun-Seok Kim embarked on his academic journey with a bachelor’s degree in business management from the korea military academy in 2000. his growing passion for computing and security led him to pursue a master’s in computer science from korea university, completed in 2006. his master’s thesis, which analyzed security protocols using model checking, laid the groundwork for his further exploration into cryptographic systems. in 2009, he earned his ph.d. in computer science from the same institution, with a dissertation titled “cryptographic model and formal design for distributed network system.” during his formative academic years, he established a deep foundation in formal methods, secure system design, and the intersection of computing with national security.

💼 Professional endeavors

dr. kim has accumulated over two decades of professional experience in information security and auditing. from june 2012 to january 2023, he served as an it senior auditor and deputy director at the board of audit and inspection of the republic of korea. in this role, he led several critical national audits covering information protection, cyber safety, and system operations. his notable reports, including reviews of foreign ministry operations and financial sector cyber safety, contributed significantly to national cyber governance. since august 2023, he has taken on a leadership role as the head of the department of information security at ict polytechnic university in gwangju, gyeonggi-do, where he continues to drive research and curriculum advancement, integrating cross-disciplinary insights including areas like power electronics and secure hardware protocols.

🧠 Contributions and research focus

Dr. Kim’s core research revolves around security modeling, formal verification, and secure system architecture. his academic efforts have consistently bridged theory with practical application, focusing on critical areas such as wireless networks, iot, banking systems, and cloud infrastructure. through his rigorous verification techniques and cryptographic models, he has developed Computer Science robust frameworks to identify and mitigate system vulnerabilities. he also delves into security aspects of embedded systems, where topics like power electronics and secure circuit design are becoming increasingly relevant, especially within smart grids and industrial control systems.

🌍 Impact and influence

Hyun-Seok Kim’s work has played a pivotal role in shaping south korea’s public sector it governance. his detailed audit reports have influenced cyber safety protocols and security legislation at national and international levels. beyond policy influence, he has mentored students and professionals, promoting awareness of formal verification, ethical hacking, and critical system audits. Computer Science by integrating insights from adjacent fields such as power electronics, he encourages a broader, systems-level understanding of security in cyber-physical environments.

📚 Academic cites and achievements

Dr. Kim’s academic and governmental publications are frequently cited in the realms of computer security, auditing, and formal verification. he has co-authored at least 14 major audit reports, many of which have been used as reference documents for policy development in ministries like foreign affairs and finance. his patented technologies and cryptographic frameworks are also Computer Science gaining recognition in academic and industrial circles.

🧭 Legacy and future contributions

As he leads the department of information security at ict polytechnic university, dr. kim is focused on cultivating the next generation of cybersecurity experts. he aims to expand interdisciplinary collaboration, particularly in emerging areas like secure autonomous systems, where integration with power electronics is crucial. his vision includes creating resilient security models for future smart cities and industrial automation frameworks. with a legacy rooted in national service, academic excellence, and innovation, he is committed to advancing secure and trustworthy digital infrastructures.

Notable Publications 

  • Title: Bio-2FA-IoD: A Biometric-Enhanced Two-Factor Authentication Protocol for Secure Internet of Drones Operations
    Author(s): H.K.S. Park
    Journal: Mathematics (SCIE), Vol. 13, Issue 13, Article 2177, 2025

  • Title: Efficient and Scalable Authentication Framework for Internet of Drones (IoD) Networks
    Author(s): H. Kim
    Journal: Electronics (SCIE), Vol. 14, Issue 12, Article 2435, 2025

  • Title: Formal Analysis of E-Payment System based on 3-D Secure in Social Payment Environment
    Author(s): H. Kim
    Journal: IEEE SNAMS, 2024

  • Title: Enhancement of user authentication using biometrics in mobile networks
    Author(s): H.S. Kim
    Journal: ICCE-TW, 2024

  • Title: Security Enhancement of Biometric-Based Authentication Systems Using Smart Card
    Author(s): H. Kim
    Journal: IEEE ACCESS (SCIE), Vol. 12, Pages 174053–174065

Dr. Mohsin Masood – Data Scientist – Best Researcher Award 

Posted on by Innovator Awards

Dr. Mohsin Masood - Data Scientist - Best Researcher Award 

Imperial College London - United Kingdom

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mohsin Masood began his academic journey with a strong foundation in computer science, securing a merit-based msc funding grant from the university of east london (2011–2012). his early academic achievements laid the groundwork for advanced training in health data science, culminating in a phd in statistical modelling from the university of strathclyde, funded by a competitive grant (2014–2017). his scholarly curiosity extended internationally through the erasmus exchange research grant at vsb-technical university of ostrava (2015–2018), where he deepened his expertise in predictive modelling and bioinformatics. during this phase, his interest in power electronics and algorithmic optimization in medical diagnostics emerged as an interdisciplinary focus.

💼 Professional endeavors

With over a decade of experience, mohsin has held impactful roles across academia and research institutions. as an assistant professor in computer science at abasyn university (2018–2022), he designed and taught advanced courses in ai, ml, and data science, incorporating real-world applications in epidemiology and digital health. later, as a senior research fellow at the university of leeds (2022–2023), he led data engineering for a large-scale 2.9 million patient cohort, employing advanced machine learning and nlp tools to analyze multimorbidity and Data Scientist cardiovascular risks. currently, he serves as a research associate at imperial college london (2023–present), where he leads predictive modelling projects on population health, integrating datasets like uk biobank, sail databank, and triphic. he also fosters collaborations with institutions such as sheffield university and a* university of singapore.

🧠 Contributions and research focus

Mohsin’s core research focus lies in multimorbidity, disease progression modelling, and epidemiological risk assessment, particularly within cardiovascular and pulmonary health Data Scientist domains. he applies deep learning, survival analysis, and multistate modelling to interpret complex patient trajectories and disease clustering. his work with electronic health records (ehrs) like hospital episode statistics (hes) reflects a commitment to improving precision medicine. integrating technologies from power electronics into patient monitoring systems has been a unique dimension of his research, promoting real-time diagnostics and health alerts. he has also contributed to educational leadership by mentoring bsc and msc students in ai-based health science projects.

🌍 Impact and influence

Mohsin’s influence extends beyond academia through his involvement in cross-institutional research, digital outreach, and public health strategy. at imperial’s national heart and lung institute (nhli), he manages social media communications to boost public engagement with medical data science. his high-impact publications have contributed to the growing intersection of Data Scientist computational modelling and health outcomes, often cited in cardiovascular and cancer research communities. he is recognized for bridging the gap between statistical modelling and power electronics, showing how smart analytics can optimize hardware for healthcare delivery.

📚 Academic cites

His academic influence is reflected in high citation counts across journals focusing on biostatistics, machine learning in medicine, and epidemiology. notable contributions include projects funded by imperial nhli’s pilot project award (2023–2024) and royan pharmaceutical’s breast cancer research grant (2020–2021). his statistical toolkits and predictive algorithms are widely referenced in studies involving survival analysis, deep learning applications in ehrs, and risk prediction modelling.

🧬 Legacy and future contributions

Mohsin’s legacy lies in fostering a data-driven healthcare ecosystem where interdisciplinary tools empower clinicians and researchers alike. he aims to develop scalable, explainable ai systems for public health, enabling real-time decision-making in hospitals and remote settings. leveraging power electronics, he envisions the integration of wearable technologies with ai for early disease detection and patient monitoring. his commitment to mentoring the next generation of health data scientists ensures a lasting academic and societal impact.

Notable Publications 

  • Title: Emotion classification and crowd source sensing; a lexicon based approach
    Authors: R. Kamal, M.A. Shah, C. Maple, M. Masood, A. Wahid, A. Mehmood
    Journal: IEEE Access

  • Title: An improved particle swarm algorithm for multi-objectives based optimization in MPLS/GMPLS networks
    Authors: M. Masood, M.M. Fouad, R. Kamal, I. Glesk, I.U. Khan
    Journal: IEEE Access

  • Title: Energy efficient software defined networking algorithm for wireless sensor networks
    Authors: M. Masood, M.M. Fouad, S. Seyedzadeh, I. Glesk
    Journal: Transportation Research Procedia

  • Title: Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2017 25th Telecommunication Forum (TELFOR)

  • Title: Analysis of artificial intelligence-based metaheuristic algorithm for MPLS network optimization
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2018 20th International Conference on Transparent Optical Networks (ICTON)

Dr. Tai Fei – Information Engineering – Best Researcher Award

Posted on by Innovator Awards

Dr. Tai Fei - Information Engineering - Best Researcher Award

Fachhochschule Dortmund - Germany

Author Profile

GOOGLE SCHOLAR

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