Mr. Hıdır Duzkaya | Electrical Engineering | Best Researcher Award

Mr. Hıdır Duzkaya | Electrical Engineering | Best Researcher Award

Mr. Hıdır Duzkaya , Gazi University , Turkey.

Mr. Hıdır Duzkaya is an Assistant Professor at Gazi University, specializing in Electrical & Electronics Engineering.  he has dedicated his career to advancing research in electrical discharge parameters and gas insulation technologies. With a Ph.D. in Electrical Engineering, his expertise lies in alternative gas mixtures for power systems, contributing to sustainable and efficient energy solutions. His studies involve the computational and experimental analysis of SF6 gas alternatives, addressing environmental concerns. Passionate about innovation and academia, Dr. Duzkaya actively engages in research, professional development, and mentoring future engineers. ⚙️📡

Publication Profile

Scopus
Orcid

Education & Experience 🎓🔬

✅ Doctorate (2008-2019) – Gazi University 🏛️

  • Electrical & Electronics Engineering (Electrical)
  • Research: Electrical Discharge Parameters in SF6-CF4-Ar Gas Mixture

✅ Assistant Professor – Gazi University 🎓

  • Specializing in power system insulation, electrical discharges, and alternative gas technologies

✅ Research Expertise 🔍

  • Investigating gas insulation techniques for high-voltage applications
  • Experimental & computational studies on electrical discharge parameters

Suitability Summary

Mr. Hıdır Duzkaya is a highly distinguished researcher whose groundbreaking work in electrical discharge phenomena and gas insulation systems has made a significant impact in the field of Electrical & Electronics Engineering. His pioneering research on alternative gas mixtures for power system insulation, particularly the SF6-CF4-Ar ternary gas mixture, provides sustainable and cost-effective solutions for high-voltage applications. His meticulous approach, combining computational modeling with experimental validation, has contributed invaluable insights to the industry. Given his exceptional contributions to energy-efficient and environmentally friendly insulation technologies, Dr. Duzkaya is a strong candidate for the Best Researcher Award🏅

Professional Development 📚⚡

Mr. Hıdır Duzkaya continuously enhances his expertise in electrical insulation technologies and power system engineering. His research focuses on sustainable alternatives to SF6 gas, reducing environmental impact while maintaining high dielectric performance. He actively participates in academic collaborations, scientific conferences, and engineering forums, sharing insights on gas-insulated systems. Through experimental setups and theoretical modeling, he contributes to the advancement of electrical engineering. Additionally, Dr. Duzkaya mentors students, fostering innovation and technical excellence in the field. His dedication to professional growth ensures he remains at the forefront of modern electrical engineering advancements. 🔬💡

Research Focus 🔍⚙️

Mr. Hıdır Duzkaya’s research primarily revolves around electrical discharge phenomena, gas insulation systems, and alternative insulating gases. He explores the computational and experimental evaluation of SF6 gas alternatives, focusing on binary and ternary gas mixtures to enhance insulation efficiency while addressing environmental concerns. His work involves Boltzmann equation modeling, ionization coefficient analysis, and breakdown voltage measurements to improve power system reliability. His contributions aim to optimize high-voltage insulation technologies used in power grids, gas-insulated switchgear (GIS), and plasma applications, fostering sustainable and cost-effective solutions in electrical engineering. 🌍⚡

Awards & Honors 🏆🎖️

🏅 Best Doctoral Research Award – Gazi University (2019)
🏅 Outstanding Research Contribution Award – Electrical Engineering Conference (2021)
🏅 Young Researcher Recognition – Turkish Electrical Engineering Association (2020)
🏅 Best Paper Award – International Conference on Power Systems (2022)
🏅 Academic Excellence Recognition – Gazi University Faculty of Engineering (2023)

Publication Top Notes 📚✨

1️⃣ Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey 🌊⚡

  • Publication Year: 2024
  • Type: Journal Article
  • Journal: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
  • DOI: 10.29109/gujsc.1517800
  • ISSN: 2147-9526
  • Contributors: Feyza Nur Çakıcı, Süleyman Sungur Tezcan, Hıdır Duzkaya
  • Abstract: This study employs deep learning techniques to forecast hydroelectric power generation, analyzing the impact of climate factors in Yozgat Province, Turkey.

2️⃣ Analysis of Electromagnetic Interference of Multiple Power Transmission Lines in the Gobustan Region of Baku-Tbilisi-Ceyhan (BTC) Pipeline ⚡🔍

  • Publication Year: 2024
  • Type: Conference Paper
  • Conference: Scientific Works / Elmi Eserler
  • DOI: 10.58225/icetea.2024.38-43
  • ISSN: 2222-5013
  • Contributors: Hıdır Duzkaya, Afrah A. J. Qali, Omurcan Aydın, Doğukan Paçal, Merve Demirci, Valeh Nasibov, Aytek Babayeva, Rana Alizada
  • Abstract: Investigates electromagnetic interference (EMI) levels in power transmission lines near the BTC pipeline, analyzing safety and performance concerns.

3️⃣ Comparison of Mechanical Solar Energy Storage Methods: Current Situation and Future Perspectives in Türkiye and Azerbaijan ☀️🔋

  • Publication Year: 2024
  • Type: Conference Paper
  • Conference: Scientific Works / Elmi Eserler
  • DOI: 10.58225/icetea.2024.19-24
  • ISSN: 2222-5013
  • Contributors: Ayşe İnan, Hıdır Duzkaya, M. Cengiz Taplamacıoğlu, Agshin Kerimov
  • Abstract: Compares mechanical solar energy storage methods, analyzing efficiency, cost, and applicability for Türkiye and Azerbaijan.

4️⃣ Investigation and Economic Analysis of the Optimum Tilt Angle of Solar Panels for Three Cities in Azerbaijan ☀️📊

  • Publication Year: 2024
  • Type: Conference Paper
  • Conference: Scientific Works / Elmi Eserler
  • DOI: 10.58225/icetea.2024.44-49
  • ISSN: 2222-5013
  • Contributors: Merve Demirci, Rahim Aytuğ Özer, Hıdır Duzkaya, M. Cengiz Taplamacıoğlu
  • Abstract: Determines the best tilt angles for solar panels in three Azerbaijani cities, optimizing energy output and economic feasibility.

5️⃣ Examination of Electromagnetic Interference Safety Limits Caused by High Voltage Transmission Lines According to International Standards ⚡📡

  • Publication Year: 2024
  • Type: Conference Paper
  • Conference: 8th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
  • DOI: 10.1109/ismsit63511.2024.10757241
  • Contributors: Hıdır Duzkaya, M. Cengiz Taplamacıoğlu, Afrah A. J. Qali, Omurcan Aydın, Doğukan Paçal
  • Abstract: Analyzes electromagnetic interference (EMI) safety levels of high-voltage transmission lines based on international standards.

Conclusion

Dr. Hıdır Duzkaya’s research bridges the gap between theoretical modeling and real-world application in electrical insulation, offering innovative and sustainable alternatives to traditional gas-insulated systems. His rigorous methodology, impactful findings, and commitment to environmental sustainability solidify his position as an outstanding researcher in power engineering. His work stands as a landmark contribution to both academia and industry, making him an ideal recipient of the Best Researcher Award🏆👏.

 

Prof.Dr. Haiwei Li | Remote Sensing | Best Researcher Award

Prof.Dr. Haiwei Li | Remote Sensing | Best Researcher Award

Prof.Dr. Haiwei Li , Xi’an Institute of Optics and Precision Mechanics , CAS , China.

Dr. Haiwei Li is an Associate Professor at the Xi’an Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS). 🔬 His expertise lies in remote sensing data processing, hyperspectral instrument development, and software design using Matlab, IDL, and Python. 💻 He has made significant contributions to spaceborne hyperspectral remote sensing, data quality improvement, and radiometric correction. 🚀 His research integrates spectral imaging with radiative transfer models, advancing hyperspectral payload applications. 📡remote sensing Funded by multiple CAS projects, Dr. Li is dedicated to enhancing airborne and spaceborne remote se technologies. 🌍

Publication Profile

Scopus
Orcid

Education & Experience 🎓👨‍🏫

📍 Education:
  • 🎓 2013-2016 – Ph.D. in Remote Sensing & GIS, Institute of Remote Sensing Applications, CAS
  • 🎓 2012-2016 – Ph.D. in Photogrammetry & Remote Sensing, Central South University
  • 🎓 2009-2012 – B.Sc. in Surveying & Mapping, Central South University
📍 Employment:
  • 🏅 2021-Present – Associate Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
  • 📊 2017-2020 – Assistant Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
  • 🛰 2016-2017 – Engineer, The First Institute of Aero-photogrammetry & Remote Sensing, NASG

Suitability Summary

Dr. Haiwei Li, an esteemed researcher at the Xi’an Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS), is a highly deserving candidate for the Best Researcher Award. His exceptional contributions to remote sensing, hyperspectral imaging, and spectral data processing have significantly advanced the field, particularly in spaceborne and airborne imaging technologies. With a strong background in radiometric correction, machine learning-based hyperspectral data analysis, and instrument development, Dr. Li has played a crucial role in enhancing the accuracy and applicability of remote sensing technologies.

Professional Development 🚀🔬

Dr. Haiwei Li has significantly contributed to the advancement of hyperspectral remote sensing, focusing on radiation transfer models and spectral imaging to enhance data simulation accuracy. 📡 His work in developing spaceborne hyperspectral image processing algorithms has led to improved image fusion, denoising, and machine learning applications. 💾 He has played a vital role in pre-research, project approvals, and the validation of space missions, ensuring high-quality hyperspectral payload development. 🌍 Additionally, his research extends to airborne hyperspectral AOTF and short-wave infrared spectroscopy, enhancing radiometric correction techniques. ✨ His efforts have secured multiple CAS-funded projects. 📑

Research Focus 🔍📊

Dr. Haiwei Li’s research is centered on hyperspectral remote sensing 📡, with a strong emphasis on:

  • Developing hyperspectral imaging instruments for spaceborne and airborne platforms 🚀
  • Radiometric correction and quality improvement of spectral data 🎛
  • Advanced image processing techniques such as fusion, denoising, and machine learning 🧠
  • Vicarious calibration methods to enhance UAV and satellite data accuracy 📏
  • Integration of hyperspectral imaging with radiative transfer models to refine atmospheric corrections 🌫
    His work contributes to remote sensing applications in environmental monitoring, precision agriculture, and disaster assessment 🌾🔥🌊

Awards & Honors 🏆🎖

  • 🌟 Western Light Talent Program Award – Chinese Academy of Sciences
  • 📜 Multiple CAS-funded Research Grants for hyperspectral remote sensing advancements
  • 🏅 Lead Investigator (PI) for Several Major Projects in UAV and spaceborne imaging
  • 📖 Published in Prestigious Journals such as IEEE JSTARS and Acta Optica Sinica
  • 🚀 Key Contributor to Space Program Approvals & Hyperspectral Payload Development

Publication Top Notes

📖 Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images
📌 Journal: Remote Sensing
📅 Publication Date: 2025-02-28
🔗 DOI: 10.3390/rs17050863
✍ Contributors: Liyao Song, Haiwei Li

📖 Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation
📌 Journal: Remote Sensing
📅 Publication Date: 2024-03-31
🔗 DOI: 10.3390/rs16071248
✍ Contributors: Yihao Wang, Jianyu Chen, Xuanqin Mou, Tieqiao Chen, Junyu Chen, Jia Liu, Xiangpeng Feng, Haiwei Li, Geng Zhang, Shuang Wang et al.

📖 Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction
📌 Journal: Remote Sensing
📅 Publication Date: 2024-01-31
🔗 DOI: 10.3390/rs16030543
✍ Contributors: Zhuo Wang, Haiwei Li, Shuang Wang, Liyao Song, Junyu Chen

📖 Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images
📌 Journal: Remote Sensing
📅 Publication Date: 2023-12-31
🔗 DOI: 10.3390/rs16010180
✍ Contributors: Liyao Song, Haiwei Li, Song Liu, Junyu Chen, Jiancun Fan, Quan Wang, Jocelyn Chanussot

📖 An Integrated Solution of UAV Push-Broom Hyperspectral System Based on Geometric Correction with MSI and Radiation Correction Considering Outdoor Illumination Variation
📌 Journal: Remote Sensing
📅 Publication Date: 2022-12
🔗 DOI: 10.3390/rs14246267
✍ Contributors: Liyao Song, Haiwei Li, Tieqiao Chen, Junyu Chen, Song Liu, Jiancun Fan, Quan Wang

Conclusion

Dr. Haiwei Li is a highly qualified candidate for the Best Researcher Award 🎖 due to his significant contributions in hyperspectral remote sensing, imaging technology, and GIS applications. His strong publication record, leadership in research projects, and innovative developments in spectral imaging position him as an exceptional contender for this award. 🌟

Dr. Nigar Ahmed | Aerospace Engineering | Best Researcher Award

Dr. Nigar Ahmed | Aerospace Engineering | Best Researcher Award

Dr. Nigar Ahmed , Dalian maritime university , China.

Dr. Nigar Ahmed is a dedicated postdoctoral researcher at Dalian Maritime University, China, specializing in Artificial Intelligence and Marine Robotics 🤖🚢. He earned his Ph.D. from Nanjing University of Aeronautics and Astronautics 🎓✈️ and has contributed significantly to UAV flight control and adaptive systems. With 21 SCI/Scopus-indexed journal publications, including 14 as the first author, his research enhances UAV robustness for applications like disaster response and surveillance 🚁🌍. He has collaborated with top global institutions and actively reviews high-impact journals. His contributions to control theory and UAV research earned him the “High-Level Talent” award 🏆.

Publication Top Notes

Scopus
Google scholar

Education & Experience 🎓💼

📌 Ph.D. in Electrical Engineering (Control Systems) – Nanjing University of Aeronautics and Astronautics, China ✈️
📌 M.S. in Electrical Engineering (Control Systems) – National University of Science and Technology, Pakistan ⚙️
📌 B.S. in Electrical Engineering (Power) – COMSATS, Abbottabad, Pakistan 🔋

👨‍🏫 Postdoctoral Researcher – Dalian Maritime University, China 🌊🚀
🔬 Scientific Researcher (2021–2022) – University of Zagreb, Croatia 🇭🇷
🤝 Collaborations with – Nanjing University of Aeronautics & Astronautics, Southeast University (China), Qatar University, and NUST (Pakistan) 🌍

Summary Suitability

Dr. Nigar Ahmed is a distinguished researcher and a deserving recipient of the Best Researcher Award for his outstanding contributions to control theory, UAV flight control, and disturbance observer-based control systems. His research has significantly advanced UAV robustness, adaptive strategies, and fault-tolerant systems, making a profound impact on aerospace and robotics.

Professional Development 🚀📚

Dr. Nigar Ahmed has published 21 high-impact research papers, including 14 as the first author 📖. His expertise in UAV control and disturbance observer-based control has led to advancements in predictive control and fault-tolerant systems 🚁⚙️. With a citation index of 279, he actively contributes as a peer reviewer for top-tier journals. He has participated in six UAV control research projects, supporting industrial and academic collaborations. His work in Horizon 2020’s wastewater project has further strengthened his contributions to control systems and optimization. He is a Pakistan Engineering Council member, enhancing global research networks 🌍🤖.

Research Focus 🔍🚁

Dr. Nigar Ahmed specializes in Aerospace and Control Systems Engineering, with a strong emphasis on UAV flight control, adaptive strategies, and disturbance observer-based control ✈️🤖. His research aims to improve UAV robustness for applications like disaster response, surveillance, and environmental monitoring 🌍🌿. His expertise in predictive control and fault-tolerant systems enhances UAV performance in dynamic and uncertain environments 🔄⚙️. He also works on artificial intelligence-driven marine robotics, bridging autonomous navigation and intelligent control 🌊🤖. Through academic collaborations and industry partnerships, his work drives innovation in aerospace and control theory 🚀📡.

Awards & Honors 🏆🎖️

🏅 High-Level Talent Award for UAV research 🚁🌍
📜 Recognized Peer Reviewer for high-impact SCI/Scopus journals 📖✅
📊 Lead Researcher in Horizon 2020’s wastewater project 🌍💧
🔬 Principal Investigator in UAV Control Systems 🔍🚁
🌍 Collaborated with Top International Universities for research excellence 🏛️🤝

Publication Top Notes

  • 📌 Sliding mode control for quadrotor with disturbance observer
    • Authors: N Ahmed, M Chen
    • Journal: Advances in Mechanical Engineering
    • Volume/Issue: 10(7), 1687814018782330
    • Cited by: 76
    • Year: 2018
  • 📌 Disturbance observer based tracking control of quadrotor with high-order disturbances
    • Authors: N Ahmed, M Chen, S Shao
    • Journal: IEEE Access
    • Volume/Issue: 8, 8300-8313
    • Cited by: 44
    • Year: 2020
  • 📌 Projection modification based robust adaptive backstepping control for multipurpose quadcopter UAV
    • Authors: AK Bhatia, J Jiang, Z Zhen, N Ahmed, A Rohra
    • Journal: IEEE Access
    • Volume/Issue: 7, 154121-154130
    • Cited by: 35
    • Year: 2019
  • 📌 Robust adaptive preview control design for autonomous carrier landing of F/A-18 aircraft
    • Authors: AK Bhatia, J Ju, Z Ziyang, N Ahmed, A Rohra, M Waqar
    • Journal: Aircraft Engineering and Aerospace Technology
    • Volume/Issue: 93(4), 642-650
    • Cited by: 23
    • Year: 2021

Conclusion

Dr. Nigar Ahmed dedication to advancing control systems and UAV technologies through academic excellence and global collaborations makes him an exceptional candidate for the Best Researcher Award. His innovative research, industry partnerships, and commitment to knowledge dissemination continue to drive impactful contributions in aerospace and robotics.

 

Dr. Yu Li | Aerospace Engineering | Best Researcher Award

Dr. Yu Li | Aerospace Engineering | Best Researcher Award

Dr. Yu Li , Xi’an Institute of Space Radio Technology , China.

 

Prof. Dr. Liudmyla Tereikovska | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Liudmyla Tereikovska | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Liudmyla Tereikovska , Kyiv National University of Construction and Architecture , Ukraine.

Prof.Dr. Liudmyla Tereikovska, is a distinguished Ukrainian scientist in information technology and cybersecurity. 🎓 She holds a Ph.D. in Technical Sciences and a Doctor of Technical Sciences degree. Currently, she is a Professor at Kyiv National University of Construction and Architecture. 🏛️ Her expertise spans information security, voice signal recognition, biometric authentication, and cybersecurity. 🔐 Passionate about innovation, she has contributed significantly to the field through extensive research and teaching. 📚 With a deep commitment to technological advancement, she continues to inspire future generations in the IT sector. 🚀

Publication Profile

Scopus
Orcid

Education & Experience 📚

✅ MSc in Technological Engineering – State Academy of Light Industry of Ukraine (1997) 🎓
✅ Ph.D. in Technical Science – Kyiv National University of Construction and Architecture (2016) 🎓
✅ Doctor of Technical Sciences (Dr. Eng.) – National Transport University (2023) 🎓
✅ Professor of Information Technology Design & Applied Mathematics (2024) 🎓

👩‍🏫 Professional Experience:

🔹 2023 – Present: Professor, Kyiv National University of Construction and Architecture 🏛️
🔹 2019 – 2023: Associate Professor, Kyiv National University of Construction and Architecture 🏛️
🔹 2019 – 2021: Doctoral Student, Kyiv National University of Construction and Architecture 📖
🔹 2017 – 2019: Associate Professor, Department of Cybersecurity & Computer Engineering 🔐
🔹 2012 – 2016: Postgraduate Student, Kyiv National University of Construction and Architecture 📖
🔹 2010 – 2012: Assistant, Department of Information Technologies 🎓
🔹 2004 – 2010: Assistant, Department of Informatics & Control Systems 💻

Suitability summary

Prof.Dr. Liudmyla Tereikovska, is a highly esteemed researcher in cybersecurity and information technology, making her a strong candidate for the Cybersecurity Excellence Award. With a Doctor of Technical Sciences degree and extensive experience in biometric authentication, facial recognition, and AI-driven cybersecurity solutions, she has significantly contributed to enhancing digital security frameworks. Her research has played a crucial role in developing intelligent security systems, voice signal recognition, and emotion detection, ensuring innovative advancements in critical infrastructure protection. Her dedication to cutting-edge technology has had a profound impact on biometric authentication methods and AI-based cybersecurity solutions.

Professional Development 🚀

Prof.Dr. Liudmyla Tereikovska, has made remarkable strides in the field of cybersecurity and information technology. 🔐 With expertise in voice signal recognition, biometric authentication, and intelligent information security systems, she has contributed extensively to research and education. 📚 As a Professor, she mentors students, shaping the next generation of IT professionals. 💡 Her commitment to technological advancements is reflected in her research on emotion recognition and cyber protection. 🛡️ Dedicated to innovation, she collaborates on international projects and continuously develops advanced cybersecurity solutions. 🌍 Her work significantly impacts the future of digital security and AI-driven authentication. 🤖

Ihor Tereikovskyi | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Ihor Tereikovskyi | Neural Network Applications | Cybersecurity Excellence Award

Prof. Dr. Ihor Tereikovskyi , at National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ,Ukraine.

Prof.Dr. Ihor Anatolyevich Tereikovskyi  is a distinguished professor and researcher in the field of Information Security and Computer Science 🖥️🔐. With over three decades of academic and research experience, he has contributed significantly to biometric authentication, cybersecurity, and voice signal recognition 🎤📊. He holds a Doctor of Technical Sciences degree and serves as a professor at multiple universities, including the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 🎓. His expertise extends to managing emotions using sound and video technologies 🎥🎶, making groundbreaking advancements in AI-driven security systems 🤖🔒.

Publication Profile

Orcid
Scopus
Google Scholar

Education & Experience

🎓 Education

✅ MSc in Aircraft Maintenance (1984–1992) – Kyiv International University of Civil Aviation ✈️
✅ Ph.D. in Technical Science (1992–1995) – Kyiv International University of Civil Aviation 📚
✅ Diploma of Associate Professor in Computer Science (2008) – Kyiv, Ukraine 🏆
✅ Doctorate of Technical Science (2013–2015) – National Aviation University 🏅
✅ Doctor of Technical Sciences (2015) – National Aviation University 🎖️
✅ Professor of System Programming (2018) – National Aviation University 🏛️

💼 Work Experience

✅ Professor – National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (2015–Present) 🖥️
✅ Professor – Al-Farabi Kazakh National University (2020–Present) 🌍
✅ Professor – National Aviation University (2015–Present) ✈️
✅ Associate Professor – National Technical University of Ukraine (2011–2013) 🏛️
✅ Associate Professor – Kiev Slavonic University (2006–2011) 📖
✅ Associate Professor – Kiev National Trade and Economic University (2003–2006) 📊
✅ Associate Professor – European University (2002–2003) 🌐
✅ Associate Professor – Kyiv International University of Civil Aviation (1999–2002) ✈️
✅ Assistant Professor – Kyiv International University of Civil Aviation (1995–1999) 📚

Suitability Summary

Prof.Dr. Ihor Anatolyevich Tereikovskyi is a distinguished researcher and cybersecurity expert whose groundbreaking work in biometric authentication, AI-driven security systems, and voice signal recognition has significantly advanced the field of cybersecurity and information protection. His dedication to developing secure information systems and enhancing cybersecurity resilience makes him an ideal candidate for the Cybersecurity Excellence Award. With over 30 years of academic and research experience, he has contributed to critical infrastructure protection, facial and voice recognition, and AI-based security solutions, demonstrating a profound impact on the global cybersecurity landscape.

Professional Development

Prof.Dr. Ihor Anatolyevich Tereikovskyi  has dedicated his career to advancing cybersecurity, biometric authentication, and artificial intelligence 🔐🤖. As a professor and researcher, he has contributed to multiple international universities, focusing on developing secure information systems 🏛️📡. His work in voice signal recognition, emotion detection, and AI-based security solutions has gained global recognition 🎤🎭. With a strong foundation in aviation and IT security, he bridges the gap between engineering and modern cybersecurity innovations ✈️💻. His research has shaped next-generation security systems, integrating AI, biometrics, and real-time monitoring for enhanced digital protection 🛡️🔍.

Research Focus

Prof.Dr. Ihor Anatolyevich Tereikovskyi specializes in Information Security and Cybersecurity 🔐💻, particularly in biometric authentication, voice recognition, and AI-driven security solutions 🎤📊. His research explores the intersection of technology and human emotions, focusing on managing emotions through sound and video technologies 🎶🎥. He has developed intelligent security systems that integrate machine learning, behavioral analysis, and deep learning 🤖📡. His contributions extend to protecting digital assets, detecting cyber threats, and improving authentication methods 🔒📈. With a passion for enhancing AI-based security protocols, he continuously explores new strategies for securing sensitive data 🛡️📊.

Awards & Honors 🏆

🏅 Doctor of Technical Sciences – National Aviation University (2015)
🏆 Professor of System Programming & Computer Systems (2018)
🎖 Associate Professor in Computer Science & Control Systems (2008)
🌍 International Recognition in AI-driven Cybersecurity Research
🥇 Outstanding Contributions to Biometric Authentication & Voice Recognition
🏅 Honorary Professor at Al-Farabi Kazakh National University (2020)

Publication Top Notes

📖 Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images – Applied Sciences2025, DOI: 10.3390/app15052553 (Cited by: N/A) 🧑‍💻🔐

📖 Conceptual Model of the Face Recognition Process Based on the Image of the Face and Iris of Personnel of Critical Infrastructure Facilities – Conference Paper2024, DOI: 10.23939/IW_itpm2024.278 (Cited by: N/A) 🏛️📸

📖 Концептуальна модель процесу визначення емоційної тональності тексту – Computer-Integrated Technologies: Education, Science, Production2024, DOI: 10.36910/6775-2524-0560-2024-55-14 (Cited by: N/A) 📜🔍

📖 Формалізація процесу розпізнавання ключових слів у голосовому сигналі – Computer-Integrated Technologies: Education, Science, Production2024, DOI: 10.36910/6775-2524-0560-2024-55-09 (Cited by: N/A) 🎤🧠

📖 Концептуальна модель процесу прогнозування навантаження на вебсервер – Computer-Integrated Technologies: Education, Science, Production2024, DOI: 10.36910/6775-2524-0560-2024-54-09 (Cited by: N/A) 🌐📊.

Conclusion

Prof. Ihor Tereikovskyi’s pioneering research, technological innovations, and academic contributions place him among the top cybersecurity and AI researchers globally. His groundbreaking work in biometric authentication, facial and voice recognition, and AI-driven security solutions has not only strengthened critical infrastructure protection but also set new standards in cybersecurity. As a visionary in digital security and artificial intelligence, he is an outstanding candidate for the Best Researcher Award and the Cybersecurity Excellence Award, with a legacy of innovation, impact, and leadership in the field.

 

Yaoyao Li | Bioinformatics | Best Researcher Award

Assoc. Prof. Dr. Yaoyao Li | Bioinformatics | Best Researcher Award

Xidian University, China

👨‍🎓Profiles

Early Academic Pursuits 🎓

Yaoyao Li, Ph.D., began her academic journey at Xidian University, where she earned her Ph.D. in Computer Science and Technology in June 2020. During her doctoral studies, she focused on computational techniques for analyzing biomolecular data, particularly DNA genome sequences. Her early academic pursuits were marked by a strong foundation in machine learning algorithms, probability theory, and statistical methods applied to bioinformatics. Her work aimed to detect and identify variant sites or fragments within DNA, uncovering patterns with potential biological functions. This laid the groundwork for her future contributions to computational bioinformatics and genomic research.

Professional Endeavors 💼

Following the completion of her Ph.D., Dr. Li worked at Alibaba Group from July 2020 to June 2022. Here, she was responsible for researching user growth algorithms for business-to-business (B2B) applications. Her work contributed to key innovations in user engagement, earning her the Core Innovation Technology Award. This professional experience allowed her to bridge the gap between theoretical research and real-world applications. After her tenure at Alibaba, she continued her academic journey by completing postdoctoral research at Xidian University in June 2024, solidifying her expertise in computational techniques and bioinformatics.

Contributions and Research Focus 🔬

Dr. Li's research is at the intersection of machine learning, computer vision, computational bioinformatics, and cancer genome data mining. Her primary focus is on analyzing biomolecular data to reveal biological insights hidden within DNA sequences. She employs comprehensive machine learning algorithms and probabilistic methods to detect variant sites or identify DNA fragments, helping to uncover biological patterns that may play a role in diseases such as cancer. Dr. Li is particularly passionate about integrating statistical tests with advanced machine learning models to improve accuracy in genome sequence prediction.

Impact and Influence 🌍

Dr. Li's work has had a significant impact on the field of bioinformatics and genomic research. By developing algorithms that can detect variant sites in the DNA genome, her contributions are pivotal in understanding complex genetic diseases, especially cancer. Her research also aids in the development of precision medicine, where targeted therapies can be crafted based on an individual’s genetic makeup. The practical implications of her research extend to biotechnology companies, healthcare providers, and academic institutions focused on genomics.

In addition to her research, Dr. Li's efforts to contribute to the academic community are reflected in her involvement with prestigious journals such as "Digital Signal Processing", "IEEE/ACM Transactions on Computational Biology and Bioinformatics", and "Biomedical Optics Express". Her papers have been widely cited, making her a respected voice in the fields of computational biology and bioinformatics.

Academic Cites and Recognition 📚

Dr. Li’s research has been widely recognized within the academic community. Her contributions to bioinformatics and computational techniques have been cited in major international journals, reinforcing her reputation as a leader in the field. Her publications in well-respected journals, such as IEEE/ACM Transactions on Computational Biology and Biomedical Optics Express, have garnered attention for their innovative approaches to cancer genome data mining and DNA sequence analysis. These citations are a testament to her academic influence and the relevance of her work to both fundamental and applied science.

Technical Skills 🛠️

Dr. Li’s expertise spans several domains of computational science, particularly in the application of machine learning algorithms, probability theory, and statistical methods. She is highly skilled in using these techniques to detect variant sites, identify fragments in DNA genomes, and mine cancer genomic data. Her proficiency with computer vision methods further strengthens her research capabilities, allowing her to work with complex biological data sets. Dr. Li is also adept at leveraging sequence prediction models to enhance the accuracy of her findings.

Teaching Experience 👩‍🏫

Dr. Li has shared her knowledge and expertise through her involvement in teaching and mentoring students. While her focus has been on cutting-edge research, she has also contributed to the academic growth of her students, guiding them through complex topics in bioinformatics, machine learning, and computational biology. Her ability to simplify intricate scientific concepts has made her a respected mentor, and she continues to inspire the next generation of researchers in her field.

Legacy and Future Contributions 🔮

Dr. Li's legacy is one of blending advanced computational techniques with real-world biomedical applications. Her work has already made a substantial impact in the field of genomic research, particularly in cancer genomics, and has the potential to revolutionize how diseases are diagnosed and treated. Looking to the future, she aims to further expand the applications of machine learning in genomic research and bioinformatics, exploring new methods for early detection of genetic diseases. She is also committed to advancing the precision medicine field, ensuring that personalized healthcare strategies are built on robust genomic data analysis.

Final Thoughts 🌟

Dr. Yaoyao Li is a trailblazer in computational bioinformatics, and her research has already had a profound impact on the scientific community. With her expertise in machine learning, bioinformatics, and cancer genomics, she is poised to continue making significant contributions that will not only advance academic knowledge but also improve health outcomes through precision medicine. Her journey is a testament to the power of combining computational technology with biological science to solve some of the most pressing challenges in modern healthcare.

📖Notable Publications

CNV_MCD: Detection of copy number variations based on minimum covariance determinant using next-generation sequencing data

Authors: Li, Y., Yang, F., Xie, K.
Journal: Digital Signal Processing: A Review Journal
Year: 2024

Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer

Authors: Li, Y., Zhang, Y., Yu, Q., He, C., Yuan, X.
Journal: Biomedical Optics Express
Year: 2024

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data

Authors: Yuan, X., Bai, J., Zhang, J., Li, Y., Gao, M.
Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2020

DpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data

Authors: Li, Y., Zhang, J., Yuan, X., Li, J.
Journal: IEEE Access
Year: 2020

BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data

Authors: Li, Y., Zhang, J., Yuan, X.
Journal: Digital Signal Processing: A Review Journal
Year: 2019

SM-RCNV: A statistical method to detect recurrent copy number variations in sequenced samples

Authors: Li, Y., Yuan, X., Zhang, J., Bai, J., Jiang, S.
Journal: Genes and Genomics
Year: 2019

Ashok Kumar SK | Chemical Sensors | Analytical Chemistry Award

Dr. Ashok Kumar SK | Chemical Sensors | Analytical Chemistry Award

Vellore Institute of Technology, India

👨‍🎓Profiles

🏫 Early Academic Pursuits

He began his academic journey with a Master of Science (M.Sc.) in Industrial Chemistry from Kuvempu University in 1994. His thirst for knowledge and dedication to chemistry led him to pursue a Ph.D. at Thapar University, which he successfully completed in 2006. These foundational years laid the groundwork for his illustrious career in research and academia.

💼 Professional Endeavors

He currently serves as a Professor in the Department of Chemistry, School of Advanced Sciences, at the Vellore Institute of Technology (VIT), Tamil Nadu. Over the years, he has established himself as a prominent figure in the field of supramolecular chemistry, coordination and organometallic chemistry, materials chemistry, and analytical chemistry. His office at VIT stands as a hub for innovation and guidance for aspiring chemists.

🔬 Contributions and Research Focus

His research spans a broad spectrum of chemistry: Chemical Sensors: His work on chromogenic, fluorogenic, potentiometric, and voltammetric sensors has advanced analytical techniques. Chemotherapy Agents: Development of agents aimed at enhancing cancer treatment methodologies. Inorganic Ion-Exchange Materials: Applications in separation science, ion sensing, and catalysis. Nanocomposites & Porous Carbon Materials: Pioneering their use for water purification and environmental applications. Sustainable Chemistry: Focused on solvent extraction, membrane separation, and biofuel production from biomass. These endeavors highlight his commitment to addressing real-world problems through chemical innovation.

🌟 Impact and Influence

His work has significantly impacted the fields of materials and analytical chemistry. He has cultivated groundbreaking methods for sensing ions, enhancing water purification, and contributing to sustainable fuel technologies. His membership in professional societies such as the Chemical Research Society of India and the Indian Science Congress underscores his influence and active involvement in the scientific community.

📖 Academic Citations and Recognition

With an ORCID ID of 0000-0002-1723-3447 and Researcher ID E-7817-2011, His contributions are well-documented in prestigious journals. His Google Scholar profile (N9mJuGQAAAAJ) lists numerous citations, reflecting the global acknowledgment of his research.

🛠️ Technical Skills

He is adept at various analytical and experimental techniques: Development and application of chemical sensors. Synthesizing nanocomposites and exploring their properties. Designing ion-exchange materials for separation and catalysis. His technical expertise ensures precision and innovation in his research projects.

🧑‍🏫 Teaching Experience and Mentorship

As a professor, He has not only conducted groundbreaking research but has also inspired the next generation of scientists. His lectures and guidance at VIT have equipped students with the knowledge and skills needed to excel in chemical research.

🏆 Legacy and Future Contributions

His legacy is defined by his multifaceted contributions to chemistry and his ability to translate complex research into practical applications. Moving forward, he aims to: Further explore sustainable chemistry solutions. Enhance chemotherapy agents for better efficacy. Develop advanced sensors for environmental and biomedical applications. His unwavering commitment to science ensures his continued relevance and impact on the global stage.

🌍 A Vision for the Future

His journey reflects a blend of academic rigor, innovative research, and impactful teaching. His focus on sustainability and healthcare resonates with contemporary global challenges, positioning him as a leader in chemistry with a lasting legacy.

📖Notable Publications

  1. Systematic Computational Approaches on Biosorption of Fluoride on Chitin: Crossover from Conventional to Short and Strong Hydrogen Bonds
    • Authors: Malhan, A.H., Job, N., Francis, A.M., Ashok Kumar, S.K., Thirumoorthy, K.
    • Journal: ACS ES&T Water
    • Year: 2024
  2. Trace level detection of putrescine and cadaverine in food samples using a novel rhodanine-imidazole dyad and evaluation of its biological properties
    • Authors: Joseph, S., Ashok Kumar, S.K.
    • Journal: Journal of Hazardous Materials
    • Year: 2024
  3. A highly lipophilic terpyridine ligand as an efficient fluorescent probe for the selective detection of zinc(ii) ions under biological conditions
    • Authors: Panicker, R.R., Joseph, S., Dharani, S., Ashok Kumar, S.K., Sivaramakrishna, A.
    • Journal: Analytical Methods
    • Year: 2024
  4. Methods special issue: Recent advancement on fluorescent chemosensing and bioimaging
    • Authors: Sahoo, S.K., Ashok Kumar, S.K.
    • Journal: Methods
    • Year: 2024
  5. Chromene-chromene Schiff base as a fluorescent chemosensor for Th4+ and its application in bioimaging of Caenorhabditis elegans
    • Authors: Dua, A., Saini, P., Goyal, S., Sharma, H.K., Kumar Ramasamy, S.
    • Journal: Methods
    • Year: 2024

 

Do Sung Huh | Analytical Chemistry | Best Researcher Award -1638

Prof. Do Sung Huh | Analytical Chemistry | Best Researcher Award

Inje University, South Korea

👨‍🎓Profiles

🎓 Early Academic Pursuits

He began his academic journey with a Ph.D. in Chemistry from the Korea Advanced Institute of Science and Technology (KAIST) in February 1989. His doctoral studies laid a strong foundation in chemistry, paving the way for groundbreaking research and innovations in the field of functional polymer films.

🏢 Professional Endeavors

He has served as a professor in the Department of Chemistry and Nanoscience and Technology at Inje University. With decades of dedication, he has been instrumental in fostering academic excellence and driving research in advanced materials science.

🧪 Contributions and Research Focus

His research revolves around the fabrication of biomimetic materials, particularly honeycomb-patterned (HCP) polymer films and moth-eye patterned polymer films. He developed a novel technique, the reactive Breath Figure (BF) method, addressing the limitations of traditional BF methods. This innovative approach allows selective functionalization of porous polymer films through interfacial reactions, expanding their applicability in various fields such as biosensors and advanced coatings.

🌍 Impact and Influence

His pioneering work in functional polymer films has significantly contributed to materials science, influencing researchers worldwide. With 137 SCI publications as a corresponding or first author and 4 as a co-author, his research findings have been widely recognized, garnering 1,764 citations.

📚 Academic Contributions

Through his extensive publication record, Dr. Huh has disseminated vital knowledge in polymer science. While he hasn’t authored books, his impactful articles in SCI-indexed journals highlight his expertise in polymer film fabrication using innovative techniques.

🔬 Technical Skills

His technical acumen spans the development of functional polymer films using the breath figure method and its modifications. His research integrates chemistry with nanotechnology to achieve advanced material properties, showcasing his problem-solving and analytical skills.

🏫 Teaching Experience

As a professor, He has guided numerous students in research projects, equipping them with the skills and knowledge to excel in materials science. His mentorship has produced skilled professionals contributing to academia and industry alike.

🏆 Legacy and Future Contributions

His innovative contributions to biomimetic material development have solidified his legacy as a leading researcher in functional polymer films. Looking forward, he aims to refine the reactive BF method further, exploring its applications in cutting-edge fields such as energy storage, biomedicine, and environmental sustainability.

🌟 Professional Memberships and Collaboration

He actively participates in professional organizations such as the American Chemical Society (ACS), the Korean Chemical Society (KCS), and the Korean Polymer Society. While he has not engaged in formal collaborations, his membership in these societies keeps him connected to global advancements in chemistry and polymer science.

📖Notable Publications

Pore-selective immobilization of pH-sensitive polymer and glucose oxidase in the porous polyimide film for detection of glucose
  • Authors: Shin, B.K.; Kulshrestha, P.; Gandamalla, A.; Huh, D.S.
    Journal: Reactive and Functional Polymers
    Year: 2024
pH-sensitive fractal structured polyaniline in the honeycomb-patterned porous polymer film for the detection of dopamine and glucose
  • Authors: Kulshrestha, P.; Shin, B.K.; Gandamalla, A.; Huh, D.S.
    Journal: European Polymer Journal
    Year: 2024
Selective recognition of glucose by the pH-sensitive polymer incorporated porous honeycomb-patterned polymer film
  • Authors: Shin, B.K.; Kulshrestha, P.; Huh, D.S.
    Journal: Macromolecular Research
    Year: 2024
Novel Capturer-Catalyst Microreactor System with a Polypyrrole/Metal Nanoparticle Composite Incorporated in the Porous Honeycomb-Patterned Film
  • Authors: Falak, S.; Shin, B.; Kang, C.; Khan, Z.A.; Huh, D.S.
    Journal: ACS Applied Materials and Interfaces
    Year: 2023
Iron oxide nanoparticles embedded in porous films for tannic acid detection
  • Authors: Falak, S.; Huh, D.S.
    Journal: Reactive and Functional Polymers
    Year: 2023

 

Martin Anselm | Microstructure | Best Researcher Award

Assoc. Prof. Dr. Martin Anselm | Microstructure | Best Researcher Award

Rochester Institute of Technology, United States

👨‍🎓Profiles

Early Academic Pursuits 🎓

Martin K. Anselm’s academic journey began with a solid foundation in the field of physics, earning a BA in Physics from the State University of New York at Geneseo in 1999. He then progressed to Clarkson University in Potsdam, NY, where he completed his MS in Mechanical Engineering in 2002. This was followed by a deep dive into the realm of materials science, culminating in a Ph.D. in Materials Science & Engineering from Binghamton University in 2011. His academic background is rich in technical knowledge, specifically focused on materials science and mechanical engineering.

Professional Endeavors 🌍

Dr. Anselm currently serves as an Associate Professor in Manufacturing, Mechanical & Electromechanical Engineering Technology at Rochester Institute of Technology (RIT). With a commitment to advancing both academic knowledge and industry collaboration, he plays a vital role in the CEMA Lab at RIT, which heavily relies on industry-backed research projects and cutting-edge industrial manufacturing equipment. His engagement with Surface Mount Technology Association (SMTA) stands out, as he served as SMTA President (2020 - present) and has contributed as SMTA Board Member from 2013 to 2019, alongside holding leadership roles within the Empire Chapter of SMTA. His influence within the electronics manufacturing sector has helped steer numerous initiatives that bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Anselm's research is deeply rooted in electronics solder joint fracture mechanics and microstructural evolution in fatigue, which is crucial for the long-term reliability and performance of electronic components. His other areas of expertise include semiconductor device packaging, electronics assembly manufacturing, and electronics reliability modeling and test development. His work in these domains supports industries that require reliable electronic components for use in everything from consumer electronics to critical infrastructure. His research contributions also extend to the practical aspects of electronics manufacturing, where he is dedicated to improving the quality and durability of solder joints and devices.

Impact and Influence 🌟

Dr. Anselm’s research is influential in both academic and industry circles. His involvement in the SMTAI conference has enabled him to share his expertise and contribute to the dissemination of cutting-edge research in electronics manufacturing. By actively engaging with industry partners, he has helped shape research projects that align with real-world manufacturing challenges. This collaboration has not only resulted in technological advancements but has also provided RIT students and faculty with access to advanced industrial manufacturing equipment, fostering hands-on learning opportunities.

Academic Citations 📚

As a thought leader in his field, Dr. Anselm’s work has been widely cited in academic circles, particularly within the realm of electronics manufacturing and materials science. His research contributions are frequently referenced by professionals seeking insights into the fracture mechanics of solder joints and electronics reliability, highlighting the significant impact his work has on both academia and the broader electronics industry.

Technical Skills 🔧

Dr. Anselm possesses extensive technical skills in areas including electronics assembly manufacturing, reliability testing, and materials characterization. His expertise in solder joint fracture mechanics is complemented by proficiency in microstructural analysis, which is essential for understanding how fatigue impacts the longevity of electronic components. Additionally, his experience with semiconductor packaging and electronics reliability modeling allows him to offer solutions to complex problems encountered in the design and manufacturing of electronic devices.

Teaching Experience 📖

Dr. Anselm’s teaching career is marked by his involvement in courses such as Science of Engineering Materials (ME272) and Processes for Electronics Manufacturing (SSIE 578) at Binghamton University. His instructional approach focuses on integrating academic theory with practical application, ensuring that students are well-prepared for careers in electronics manufacturing and related fields. As an educator, he has not only imparted technical knowledge but also mentored students in research, helping to nurture the next generation of engineers.

Legacy and Future Contributions 🌱

Looking ahead, Dr. Anselm is poised to continue making significant contributions to the field of electronics manufacturing, particularly in improving the reliability of solder joints and advancing semiconductor device packaging. His research is expected to influence the development of more resilient and efficient electronic components that will be critical as industries move towards more compact, high-performance devices. As a mentor and leader, his legacy will be carried forward through his students and the ongoing collaboration between RIT and industry partners.

📖Notable Publications