İsa Avcı | Computer Science | Best Researcher Award

Dr. İsa Avcı | Computer Science | Best Researcher Award 

ASSISTANT PROFESSOR, at Karabuk University, Turkey.

Asst. Prof. Dr. İsa Avcı is a distinguished academic in the field of Computer Engineering at Karabük University, Turkey. With a robust educational background, he earned his Ph.D. in Computer Engineering from Istanbul University-Cerrahpaşa in 2021, following a non-thesis Master’s degree in Information Technologies from Sakarya University in 2011. His academic journey began with a Bachelor’s degree in Electrical-Electronics Engineering from Sakarya University in 2007. Additionally, he holds a Bachelor’s degree in Business Administration from Anadolu University, completed in 2013. Dr. Avcı’s research interests encompass cybersecurity, artificial intelligence, and machine learning, focusing on their applications in critical infrastructures and smart systems. He has contributed significantly to the academic community with numerous publications and has been involved in various national and international research projects. His dedication to advancing knowledge in his field is evident through his active participation in academic and professional endeavors.unis.karabuk.edu.tr+1ResearchGate+1

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education 

Dr. İsa Avcı’s educational journey reflects a commitment to excellence and interdisciplinary expertise. He completed his Ph.D. in Computer Engineering at Istanbul University-Cerrahpaşa in 2021, where his dissertation focused on cybersecurity vulnerabilities in smart natural gas networks and the development of a maturity model. Prior to that, he obtained a non-thesis Master’s degree in Information Technologies from Sakarya University in 2011, which was pursued through distance education. His foundational knowledge in engineering was established with a Bachelor’s degree in Electrical-Electronics Engineering from Sakarya University in 2007. Dr. Avcı further broadened his academic horizon by earning a Bachelor’s degree in Business Administration from Anadolu University in 2013. Additionally, he holds an Associate Degree in Electricity from Istanbul University’s Technical Sciences Vocational School, completed in 2003. This diverse educational background enables Dr. Avcı to approach complex problems with a multifaceted perspective.

💼 Experience 

Dr. İsa Avcı has a diverse professional background that bridges academia and industry. Since March 2021, he has been serving as an Assistant Professor in the Department of Computer Engineering at Karabük University’s Faculty of Engineering, specializing in computer hardware. His academic career commenced in 2010 as a Lecturer at Istanbul University’s Technical Sciences Vocational School, where he taught Aircraft Technology until June 2011. Beyond his teaching roles, Dr. Avcı has been actively involved in research and development projects, focusing on areas such as cybersecurity, artificial intelligence, and smart systems. He has contributed to various national and international projects, collaborating with institutions and researchers to advance technological innovations. His professional journey reflects a strong commitment to integrating theoretical knowledge with practical applications, aiming to address contemporary challenges in the field of computer engineering.

🔬 Research Interests 

Dr. İsa Avcı’s research interests lie at the intersection of cybersecurity, artificial intelligence, and machine learning, with a particular focus on their applications in critical infrastructures and smart systems. He is dedicated to exploring innovative solutions to enhance the security and efficiency of smart natural gas networks, intelligent transportation systems, and industrial control systems. His work involves developing maturity models to assess and improve the cybersecurity posture of these systems. Additionally, Dr. Avcı investigates the integration of emerging technologies such as blockchain and digital twins to address challenges in smart grid management and data privacy. He is also interested in the application of machine learning algorithms for predictive analytics, aiming to anticipate and mitigate potential risks in various domains. Through his research, Dr. Avcı strives to contribute to the development of secure, intelligent, and sustainable technological solutions.unis.karabuk.edu.tr

🏆 Awards 

Dr. İsa Avcı’s academic and professional achievements have been recognized through various awards and honors. His dedication to advancing knowledge in computer engineering has earned him accolades in both national and international arenas. Notably, his research contributions have been acknowledged in conferences such as the International Paris Congress on Applied Sciences and the International European Conference on Interdisciplinary Scientific Research, where his papers were presented and received commendations. Additionally, Dr. Avcı has been involved in several research projects funded by higher education institutions, focusing on areas like mobile application development for predicting noise-induced hearing loss and satellite-supported smart transportation systems. These projects not only highlight his research capabilities but also his commitment to addressing real-world challenges through technological innovations. The recognition of his work underscores his standing as a respected figure in the field of computer engineering.unis.karabuk.edu.trunis.karabuk.edu.tr

📚 Top Noted Publications

Dr. İsa Avcı has an extensive publication record, contributing significantly to the fields of cybersecurity, artificial intelligence, and machine learning. His work has been featured in reputable journals and conferences, reflecting the impact and relevance of his research. Notable publications include:

1. Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach

  • Journal: IEEE Access

  • Authors: O.A. Talab & I. Avci

  • Publication Year: 2025

  • DOI: 10.1109/ACCESS.2025.3525843

  • Summary: This study presents a model-free deep reinforcement learning approach for real-time energy management in microgrids. Utilizing an actor-critic-based Deep Deterministic Policy Gradient (DDPG) algorithm, the method adapts dynamically to changing system conditions, reducing operational costs and power losses. Numerical simulations demonstrate a 3.19% cost reduction compared to Dueling DQN and a 4% reduction compared to DQN. Directory of Open Access Journals+1Directory of Open Access Journals+1ResearchGate+1acikerisim.karabuk.edu.tr+1acikerisim.karabuk.edu.tr+1Directory of Open Access Journals+1

2. Cybersecurity Defence Mechanism Against DDoS Attack with Explainability

  • Journal: Mesopotamian Journal of CyberSecurity

  • Authors: Alaa Mohammad Mahmood & Dr. Öğr. Üyesi İsa Avcı

  • Publication Year: 2024

  • DOI: 10.58496/MJCS/2024/027

  • Summary: This paper proposes a cybersecurity defense mechanism against Distributed Denial of Service (DDoS) attacks, incorporating explainability to enhance understanding and trust in the detection process. unis.karabuk.edu.tr+1ResearchGate+1

3. A Novel Hybrid Model Detection of Security Vulnerabilities in Industrial Control Systems and IoT Using GCN+LSTM

  • Journal: IEEE Access

  • Authors: Murat Koca & İsa Avcı

  • Publication Year: 2024

  • DOI: 10.1109/ACCESS.2024.3466391

  • Summary: This research introduces a hybrid model combining Graph Convolutional Networks (GCN) and Long Short-Term Memory (LSTM) networks to detect security vulnerabilities in Industrial Control Systems (ICS) and the Internet of Things (IoT). The model achieves a detection accuracy of 99.99% by analyzing spatial and temporal data flows, effectively identifying and mitigating deceptive connectivity disruptions. unis.karabuk.edu.tr+1ResearchGate+1ResearchGate+1Directory of O

Conclusion

Assistant Professor İsa Avcı is a highly active and promising researcher in the fields of cybersecurity, AI, IoT, and deep learning, with a strong commitment to applied research and mentorship. His work demonstrates a wide scope of interdisciplinary engagement, practical impact, and national significance.

Uday Garg | Artificial Intelligence | Best Researcher Award

Mr. Uday Garg | Artificial Intelligence | Best Researcher Award 

Mr. Uday Garg, at Chandigarh University, India.

Uday Garg is a passionate and dynamic Computer Science Engineer with a proven record in leadership and technology. A former Head Boy and current Class Representative, he balances academic rigor with hands-on experience in development and event management. Proficient in programming languages such as Python and C++, Uday has contributed to both web and Android development, delivering projects in collaboration with startups like Zonson Infotech. His involvement in IEEE at Chandigarh University, both as Treasurer and Executive Member, underscores his dedication to community engagement and tech growth. With a minor in AI from IIT Ropar and multiple NPTEL certifications, Uday exemplifies a commitment to continuous learning. His creative interests in graphic design and love for classical music add depth to his well-rounded personality. A tech innovator with a vision, Uday aspires to bridge technological solutions with real-world challenges.

Professional Profile

ORCID

Education 🎓

Uday Garg’s educational journey showcases both academic versatility and technical depth. Currently pursuing a Minor in Artificial Intelligence (2024–25) from IIT Ropar, he earlier completed his Bachelor of Engineering in Computer Science from Chandigarh University (2020–2024), securing a CGPA of 7.9. His foundation in school academics was laid at Chapra Central School, achieving 9.6 CGPA in Class X and 60.5% in Class XII (CBSE). Uday has also earned industry-recognized certifications, including Software Testing from NPTEL IIIT Bangalore, Data Mining from NPTEL IIT Kharagpur, and an A-grade in Space Technology Awareness Training by ISRO. This academic trajectory reflects a persistent curiosity and a commitment to expanding both theoretical and applied knowledge. With a strong command of programming, AI, and emerging technologies, Uday’s academic record complements his innovative drive and career ambitions.

Experience 💼 

Uday Garg’s professional experience bridges academia and industry with impactful contributions. In 2024, he interned as a Digital Marketing Intern at Sharkify Technology Pvt Ltd, gaining valuable exposure to SEO, analytics, and digital strategies. His practical expertise also extends to software development; between September 2022 and February 2023, he worked as a Freelance Developer at Zonson Infotech Private Limited, where he handled real-time development projects, especially Android and UI/UX tasks. Uday’s collaborative development of a Dormitory Management App using Flutter and Firebase highlights his technical execution skills. He also designed and deployed a Semester Syllabus Portal independently using HTML, CSS, and JavaScript within a tight 20-day timeline. From RPA-based invoice generators to full-stack food blogging platforms, Uday’s hands-on experience reflects adaptability and competence in solving diverse technical challenges. His leadership roles in IEEE also speak to his management skills and collaborative spirit.

Research Interest 🔬

Uday Garg’s research interests lie at the intersection of Artificial Intelligence, Cybersecurity, and Human-Centric Computing. He is particularly fascinated by the vulnerabilities within facial recognition systems and how advanced algorithms can enhance both security and privacy. His recent work titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” presented at AIDE-2023, underscores his commitment to identifying real-world issues in biometric technologies and proposing viable solutions. With a minor in AI from IIT Ropar and foundational training in data mining, Uday is also keen on exploring Machine Learning-based automation, natural language processing, and ethical AI. His practical orientation is balanced by philosophical curiosity, often delving into ethics, privacy, and the societal implications of AI. Uday aspires to contribute to research that not only pushes technical boundaries but also remains grounded in human values, making technology inclusive, accountable, and forward-looking.

Awards 🏅 

Uday Garg’s academic and extracurricular achievements reflect a balanced profile of intellect and leadership. He was elected Treasurer and Executive Member of the IEEE Chandigarh University Student Branch (2021–2022), a role where he managed event planning, financial oversight, and community engagement. One of his most notable accolades was presenting his research paper at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). His paper, focused on cybersecurity in facial recognition systems, was accepted for publication in the American Institute of Physics (AIP)—a significant milestone for a budding researcher. Uday’s appointment as Head Boy in school and his ongoing service as Class Representative in university further reinforce his leadership credentials. These honors and roles speak volumes about his credibility, dedication, and the trust placed in him by peers and mentors alike. With a strong track record of excellence, Uday is poised to make impactful contributions to the tech world.

Top Noted Publication 📚

Uday Garg’s publication record began with a compelling research contribution to the AI and cybersecurity landscape. He authored and presented the paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). This paper was published by the American Institute of Physics (AIP) in 2023 and focuses on identifying systemic flaws in facial recognition systems and proposing mitigation techniques through advanced algorithms and encryption.

The paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” by Uday Garg and Arti Rani was presented at a conference and published in the AIP Conference Proceedings on March 1, 2025. It is part of the series with the ISSN: 0094-243X.

Citation Information

  • Title: An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems

  • Authors: Uday Garg, Arti Rani

  • Publication Date: March 1, 2025

  • Journal: AIP Conference Proceedings

  • ISSN: 0094-243X

  • DOI: 10.1063/5.0262020

Accessing the Paper

You can access the full paper through the DOI link provided above. If you encounter any access restrictions, you might consider checking if your institution provides access or contacting the authors directly for a copy.

Conclusion

Uday Garg shows promising research potential, especially in the intersection of AI, cybersecurity, and application development. His technical breadth, leadership experience, and a published research paper mark him as a strong early-career researcher. However, to fully align with the standards typically expected for a Best Researcher Award, continued focus on depth of research, academic performance, and publication output is advised.