Abeer Iftikhar | Real Time Data Processing | Best Researcher Award

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Dr. Abeer Iftikhar | Real Time Data Processing | Best Researcher Award

Bahria University | Pakistan

Dr. Abeer Iftikhar Tahirkheli is a distinguished researcher whose work spans computer science, information security, artificial intelligence, and strategic studies, combining advanced technological innovation with defense and national security applications. Her contributions in cybersecurity and smart city resilience include Securing Edge Based Smart City Networks with Software Defined Networking and Zero Trust Architecture, A Blockchain Based Secure Authentication Technique for Ensuring User Privacy in Edge Based Smart City Networks, and Security Provision by Using Detection and Prevention Methods to Ensure Trust in Edge-Based Smart City Networks, advancing trust, privacy, and secure authentication in digital infrastructures. Her interest in healthcare and societal well-being is reflected in Tri-tier Architecture for AI-Based Healthcare Systems and Predicting COVID-19 Infections Prevalence Using Linear Regression Tool, where AI-driven solutions address medical and epidemiological challenges. She has also mapped risks and counterstrategies through Security, Trust and Privacy Risks, Responses, and Solutions for High-Speed Smart Cities Networks: A Systematic Literature Review, A Survey on Modern Cloud Computing Security over Smart City Networks: Threats, Vulnerabilities, Consequences, Countermeasures, and Challenges, and Future Privacy and Trust Challenges for IoE Networks. Complementing her technical focus, she has contributed to strategic studies with India’s Strategic Force Modernization and Its Implications on Strategic Environment of Pakistan, Kashmir Conflict: The Approach of Humanitarianism, and Enhancing the Efficacy of Nuclear Non-Proliferation Regime: Significance of Pakistan’s NSG Membership, addressing critical geopolitical concerns. Further works such as Artificial Intelligence and Its Prospective Employment in Defence Forces, Contemplating Security Challenges and Threats for Smart Cities, A Novel Framework for Cyber Secure Smart City, and Rafale: A Big Bogeri reflect her ability to integrate technology with policy analysis and strategic foresight. Her research embodies academic rigor and innovation leadership, with impact demonstrated by 241 citations, an h-index of 6, and an i10-index of 3.

Profile: Google Scholar

Featured Publications

  • Iftikhar, A., Hussain, F. B., Qureshi, K. N., Shiraz, M., & Sookhak, M. (2025). Securing edge based smart city networks with software defined networking and zero trust architecture. Journal of Network and Computer Applications, 104341.

  • Iftikhar, A., & Qureshi, K. N. (2025). Tri-tier architecture for AI-based healthcare systems. In Artificial Intelligence-Based Smart Healthcare Systems (pp. 53–76).

  • Iftikhar, A., Qureshi, K. N., Hussain, F. B., Shiraz, M., & Sookhak, M. (2025). A blockchain based secure authentication technique for ensuring user privacy in edge based smart city networks. Journal of Network and Computer Applications, 233, 104052.

  • Iftikhar, A., Qureshi, K. N., Shiraz, M., & Albahli, S. (2023). Security, trust and privacy risks, responses, and solutions for high-speed smart cities networks: A systematic literature review. Journal of King Saud University-Computer and Information Sciences, 35(9), 101788.

  • Iftikhar, A., Qureshi, K. N., Altalbe, A. A., & Javeed, K. (2023). Security provision by using detection and prevention methods to ensure trust in edge-based smart city networks. IEEE Access, 11, 137529–137547.

  • Iftikhar, A., & Qureshi, K. N. (2023). Future privacy and trust challenges for IoE networks. In Cybersecurity Vigilance and Security Engineering of Internet of Everything.

  • Tahirkheli, A. I., Shiraz, M., Hayat, B., Idrees, M., Sajid, A., Ullah, R., Ayub, N., … (2021). A survey on modern cloud computing security over smart city networks: Threats, vulnerabilities, consequences, countermeasures, and challenges. Electronics, 10(15), 1811.

  • Qureshi, K. N., Iftikhar, A., Bhatti, S. N., Piccialli, F., Giampaolo, F., & Jeon, G. (2020). Trust management and evaluation for edge intelligence in the Internet of Things. Engineering Applications of Artificial Intelligence, 94, 103756.

Brigitte Jaumard | Cloud Computing | Best Researcher Award

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Prof. Dr. Brigitte Jaumard | Cloud Computing | Best Researcher Award

Concordia University | Canada

Prof. Dr. Brigitte Jaumard is a preeminent authority in computer science and operations research, specializing in the optimization of communication networks and the application of artificial intelligence. As a Professor in the Department of Computer Science and Software Engineering at Concordia University, her distinguished career is marked by significant academic and industrial contributions. Her foundational education includes a Ph.D., awarded with highest honors, from École Nationale Supérieure des Télécommunications (ParisTech) and a Thèse d’habilitation from Université Pierre et Marie Curie. She has held prestigious appointments, including a Tier I Canada Research Chair (2001-2019), and impactful roles in industry such as Principal Data Scientist at Ericsson’s Global AI Accelerator and Scientific Director at the Computer Research Institute of Montreal (CRIM). Her pioneering research, supported by major grants from NSERC and MITACS, focuses on developing sophisticated models and algorithms for 5G/B5G networks, energy efficiency, and network virtualization. The exceptional impact and volume of her work are demonstrated by a remarkable citation count of over 11,130, an h-index of 46, and an i10-index of 179, alongside multiple best paper awards from leading IEEE conferences. A dedicated mentor to numerous graduate students and postdoctoral fellows, she also actively shapes her field through service on technical program committees, editorial boards, and national grant selection panels, solidifying her legacy as a leader who bridges foundational research with transformative industrial innovation.

Profile: Scopus | Google Scholar

Featured Publications

  • Hansen, P., Jaumard, B., & Savard, G. (1992). New branch-and-bound rules for linear bilevel programming. SIAM Journal on Scientific and Statistical Computing, 13(5), 1194–1217.

  • Hansen, P., & Jaumard, B. (1997). Cluster analysis and mathematical programming. Mathematical Programming, 79(1), 191–215.

  • Hansen, P., & Jaumard, B. (1990). Algorithms for the maximum satisfiability problem. Computing, 44(4), 279–303.

  • Jaumard, B., Semet, F., & Vovor, T. (1998). A generalized linear programming model for nurse scheduling. European Journal of Operational Research, 107(1), 1–18.

  • Audet, C., Hansen, P., Jaumard, B., & Savard, G. (2000). A branch and cut algorithm for nonconvex quadratically constrained quadratic programming. Mathematical Programming, 87(1), 131–152.

  • Audet, C., Hansen, P., Jaumard, B., & Savard, G. (1997). Links between linear bilevel and mixed 0–1 programming problems. Journal of Optimization Theory and Applications, 93(2), 273–300.

  • Hansen, P., & Jaumard, B. (1995). Lipschitz optimization. In C. A. Floudas & P. M. Pardalos (Eds.), Handbook of global optimization (pp. 407–493). Springer.

  • Du Merle, O., Hansen, P., Jaumard, B., & Mladenovic, N. (1999). An interior point algorithm for minimum sum-of-squares clustering. SIAM Journal on Scientific Computing, 21(4), 1485–1505.

Yuanfang Han | Bottleneck Analysis | Best Researcher Award

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Mr. Yuanfang Han | Bottleneck Analysis | Best Researcher Award

Beijing University of Posts and Telecommunications | China

Mr. Yuanfang Han is a Master’s degree candidate and researcher at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, specializing in network performance diagnosis and optimization. His research expertise spans passive traffic analysis, application performance management (APM) metrics, and machine-learning-based anomaly detection, with a strong focus on developing non-intrusive methods for identifying and addressing server bottlenecks in complex environments. He is the principal developer of the Cross-Environment Server Diagnosis with Fusion (CSDF) system, a packet-capture-based framework that integrates one-to-one traffic replay with random-forest-driven metric attribution to achieve high-precision performance insights. Validated in collaboration with China Tower Corporation Limited, this system has demonstrated high cross-environment request alignment accuracy, identified bottlenecks with strong correlation, and reduced average response times in production-grade deployments, marking a significant contribution to the efficiency and reliability of large-scale network systems. His research findings have been published in Electronics in the article “A Non-Intrusive Approach to Cross-Environment Server Bottleneck Diagnosis via Packet-Captured Application Latency and APM Metrics,” co-authored with leading experts in the field. Beyond academic publishing, he has been actively involved in joint research projects with industry partners, conducting large-scale traffic capture and replay experiments that validate his theoretical models in real-world scenarios. As an IEEE Student Member, Mr. Han continues to expand his work on host–network correlation analysis and traffic-based anomaly detection, striving to build scalable, intelligent frameworks that bridge the gap between academic innovation and enterprise-level network performance optimization.

Profile: Orcid

Featured Publication

Han, Y., Zhang, Z., Li, X., Zhao, J., Gu, R., & Wang, M. (2025). A non-intrusive approach to cross-environment server bottleneck diagnosis via packet-captured application latency and APM metrics. Electronics, 14(19), 3824.

Ao Ma | Artificial Intelligence | Best Researcher Award

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Mr. Ao Ma | Artificial Intelligence | Best Researcher Award

Hunan University of Technology and Business | China

Mr. Ao Ma is an emerging researcher specializing in artificial intelligence, software engineering, control systems, and hardware architecture, currently serving at the School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business (HUTB), China. At HUTB, he has pursued research that bridges intelligent computing and practical applications, particularly in developing high-efficiency, sustainable, and adaptive intelligent systems. His scholarly contributions include the article “Design and Research of High-Energy-Efficiency Underwater Acoustic Target Recognition System”, published in Electronics and earlier as a preprint on Preprints.org, where he collaborated with an interdisciplinary team to advance underwater acoustic detection technologies. This work highlights his ability to integrate artificial intelligence algorithms with hardware optimization to improve recognition accuracy while reducing energy consumption, addressing both scientific and industrial challenges in marine engineering. Alongside his academic research, Mr. Ma has demonstrated strong leadership and community engagement, earning the prestigious Yuntang Scholarship, an alumni-funded award that honors outstanding students who exhibit academic excellence, innovative spirit, and societal contribution. His recognition as an Outstanding Member of the Communist Youth League of China further reflects his exemplary performance, moral character, and leadership within the university community. With a clear research vision and dedication to advancing intelligent manufacturing and sustainable innovation, Mr. Ma continues to expand his impact in both academic and professional domains, positioning himself as a promising scholar committed to the integration of cutting-edge artificial intelligence with practical engineering solutions for the benefit of society.

Profile: Orcod

Featured publication

Ma, A., Yang, W., Tan, P., Lei, Y., Zhu, L., Peng, B., & Ding, D. (2025). Design and research of high-energy-efficiency underwater acoustic target recognition system. Electronics, 14(19), 3770.

Seyed Ehsan Enderami | Regenerative Medicine | Best Academic Researcher Award

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Assist. Prof. Dr. Seyed Ehsan Enderami | Regenerative Medicine | Best Academic Researcher Award

Mazandaran University of Medical of Sciences | Iran

Assist. Prof. Dr. Seyed Ehsan Enderami is an Assistant Professor of Medical Biotechnology at Mazandaran University of Medical Sciences, Sari, Iran, with research expertise spanning regenerative medicine, stem cell biotechnology, tissue engineering, gene therapy, and molecular oncology. He obtained his B.Sc. in Laboratory Sciences from Yazd University of Medical Sciences, followed by an M.Sc. and Ph.D. in Medical Biotechnology from Zanjan University of Medical Sciences, where his doctoral thesis focused on generating insulin-producing cells from human induced pluripotent stem cells (iPSCs) through microRNA-based strategies in advanced two- and three-dimensional culture systems. Over the course of his career, Assist. Prof. Dr. Enderami has built a strong scientific record, authoring 94 publications indexed in Scopus, which have collectively garnered 1,916 citations from 1,333 documents, earning him a Scopus h-index of 30 and reflecting the lasting impact of his work. His studies have been featured in leading international journals, including Genes, Journal of Cellular Physiology, Artificial Cells, Nanomedicine and Biotechnology, and Cancer Medicine, covering diverse areas such as scaffold-based tissue engineering, stem cell-derived therapies for diabetes, cancer-related inflammation, neuroregeneration, and bioinformatics approaches to pluripotency. In addition to his prolific research contributions, he is a committed academic mentor and educator, teaching across undergraduate, postgraduate, and doctoral programs in fields such as molecular biology, cell culture, genetic engineering, immunology, and pharmaceutical biotechnology. He has also organized and instructed workshops on stem cell technologies, iPSC technology, and entrepreneurship. With his blend of innovative research, impactful publications, and dedication to teaching, Assist. Prof. Dr. Enderami continues to play a pivotal role in advancing biotechnology and regenerative medicine while training the next generation of biomedical scientists.

Profile: Scopus | Orcid

Featured Publications

  • Nassiri Mansour, R., Hasanzadeh, E., Abasi, M., Gholipourmalekabadi, M., Mellati, A., & Enderami, S. E. (2023). The effect of fetal bovine acellular dermal matrix seeded with Wharton’s jelly mesenchymal stem cells for healing full-thickness skin wounds. Genes, 14(4), 409.

  • Hosseini, F., Mahdian-Shakib, A., Jadidi-Niaragh, F., Enderami, S. E., Mohammadi, H., Hemmatzadeh, M., … Mirshafiey, A. (2018). Anti-inflammatory and anti-tumor effects of α-L-guluronic acid (G2013) on cancer-related inflammation in a murine breast cancer model. Biomedicine & Pharmacotherapy, 107, 172–180.

  • Hashemi, J., Pasalar, P., Soleimani, M., Khorramirouz, R., Fendereski, K., Enderami, S. E., & Kajbafzadeh, A.-M. (2018). Application of a novel bioreactor for in vivo engineering of pancreas tissue. Journal of Cellular Physiology, 233(5), 3823–3833.

  • Ziaei, S., Ardeshirylajimi, A., Arefian, E., Enderami, S. E., Soleimani, M., & Rezaei-Tavirani, M. (2018). Bioinformatics analysis of Ronin gene and their potential role in pluripotency control. Gene Reports, 12, 143–150.

  • Hashemi, J., Pasalar, P., Soleimani, M., Arefian, E., Khorramirouz, R., Akbarzadeh, A., … Enderami, S. E. (2018). Decellularized pancreas matrix scaffolds for tissue engineering using ductal or arterial catheterization. Cells Tissues Organs, 205(3–4), 183–195.

  • Mahboudi, H., Soleimani, M., Enderami, S. E., Kehtari, M., Ardeshirylajimi, A., Eftekhary, M., & Kazemi, B. (2018). Enhanced chondrogenesis differentiation of human induced pluripotent stem cells by MicroRNA-140 and transforming growth factor beta 3 (TGFβ3). Biologicals, 53, 15–23.

  • Enderami, S. E., Soleimani, M., Mortazavi, Y., Nadri, S., & Salimi, A. (2018). Generation of insulin-producing cells from human adipose-derived mesenchymal stem cells on PVA scaffold by optimized differentiation protocol. Journal of Cellular Physiology, 233(5), 3869–3879.

  • Jafari, S. M., Panjehpour, M., Aghaei, M., Joshaghani, H. R., & Enderami, S. E. (2017). A3 adenosine receptor agonist inhibited survival of breast cancer stem cells via GLI-1 and ERK1/2 pathway. Journal of Cellular Biochemistry, 118(11), 3768–3777.

Nicolae Valentin Vladut | Indexing Techniques | Best Researcher Award

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Mr. Nicolae Valentin Vladut | Indexing Techniques | Best Researcher Award

INMA Bucharest | Romania

Mr. Nicolae Valentin Vlăduț is the General Director and Senior Scientific Researcher (CS I) at the National Institute of Research and Development for Machines and Installations Designed for Agriculture and Food Industry (INMA), Bucharest, Romania, where he has dedicated his career to advancing agricultural engineering, mechanization, and sustainable technologies. He graduated from the Faculty of Agricultural Mechanics at the Politehnica University of Bucharest, pursued postgraduate studies in research, design, and biotechnical systems management, and later earned his doctorate in Mechanical Engineering. Throughout his professional journey, he has coordinated numerous research projects, contributed as a collaborator in many others, and played an important role in fostering innovation and technology transfer in the agri-food sector. His contributions include a large body of scientific publications, authored books, and patents, many of which have been implemented in prototypes and practical industrial applications. In addition to his research and innovation work, Mr. Vlăduț has been actively involved in scientific publishing and dissemination of knowledge, serving on the editorial boards of multiple international journals and conferences recognized in prestigious academic databases. He has developed extensive collaborations with universities, research institutes, and industrial partners at both national and international levels, supporting advancements in precision agriculture, renewable energy, biomass processing, testing systems, and sustainable mechanization. Widely recognized for his achievements, he has received numerous international awards that highlight his role as an innovator and a leader, contributing significantly to the modernization and sustainability of agricultural engineering.

Profile: Google Scholar

Featured Publications

  • Ungureanu, N., Vlăduț, V., & Voicu, G. (2020). Water scarcity and wastewater reuse in crop irrigation. Sustainability, 12(21), 9055.

  • Ungureanu, N., Vlăduț, V., & Biriș, S. Ș. (2022). Sustainable valorization of waste and by-products from sugarcane processing. Sustainability, 14(17), 11089.

  • Ungureanu, N., Vlăduț, V., Voicu, G., Dincă, M. N., & Zabavă, B. S. (2018). Influence of biomass moisture content on pellet properties – Review. Engineering for Rural Development, 17, 1876–1883.

  • Moiceanu, G., Paraschiv, G., Voicu, G., Dincă, M., Negoita, O., Chitoiu, M., … Vlăduț, V. (2019). Energy consumption at size reduction of lignocellulose biomass for bioenergy. Sustainability, 11(9), 2477.

  • Nenciu, F., Stanciulescu, I., Vlad, H., Gabur, A., Turcu, O. L., Apostol, T., … Vlăduț, V. N. (2022). Decentralized processing performance of fruit and vegetable waste discarded from retail, using an automated thermophilic composting technology. Sustainability, 14(5), 2835.

  • Belc, N., Mustatea, G., Apostol, L., Iorga, S., Vlăduț, V. N., & Mosoiu, C. (2019). Cereal supply chain waste in the context of circular economy. E3S Web of Conferences, 112, 03031.

  • Nenciu, F., Paraschiv, M., Kuncser, R., Stan, C., Cocarta, D., & Vlăduț, V. N. (2021). High-grade chemicals and biofuels produced from marginal lands using an integrated approach of alcoholic fermentation and pyrolysis of sweet sorghum biomass residues. Sustainability, 14(1), 402.

  • Nenciu, F., Voicea, I., Cocarta, D. M., Vlăduț, V. N., Matache, M. G., & Arsenoaia, V. N. (2022). “Zero-Waste” food production system supporting the synergic interaction between aquaculture and horticulture. Sustainability, 14(20), 13396.

Ibrahim Dalbudak | Indexing Techniques | Best Researcher Award

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Mr. Ibrahim Dalbudak | Indexing Techniques | Best Researcher Award

Usak University | Turkey

Mr. İbrahim Dalbudak is a distinguished academic and Associate Professor in the Department of Sports Management at Uşak University’s Faculty of Sports Sciences, whose career is defined by a profound commitment to sports science, particularly in the realm of adaptive sports and the inclusion of individuals with disabilities. His academic journey, rooted in Physical Education and Sports Teaching, was solidified with advanced degrees where his seminal research investigated the psychological profiles including emotional intelligence, aggression, and stress levels of visually impaired athletes, establishing a foundational focus that continues to inform his work. An exceptionally prolific scholar, Mr. İbrahim Dalbudak has authored a substantial body of research published in numerous international refereed journals, exploring diverse themes such as the psychological well-being of athletes with disabilities, motivation, nutrition, and the broader socio-economic aspects of sports. His dedication extends beyond publication through active mentorship as a supervisor of graduate theses and participation in significant national and international projects, including pioneering research on implementing the DIR model to teach sport and life skills to hearing-impaired children. Complementing his research and teaching, he has demonstrated significant leadership by occupying crucial administrative positions such as Director of the Research and Application Center, Manager of the Disabled Unit, and membership on the University Senate. This blend of scholarly excellence, dedicated mentorship, and administrative service underscores a career consistently devoted to understanding and promoting the holistic benefits of sports, with a specialized and impactful emphasis on ensuring athletic participation is accessible and beneficial for disabled individuals, thereby championing inclusivity within the field.

Profile: Google Scholar | Orcid

Featured Publications

  • Dalbudak, İ., Yilmaz, T., & Yigit, Ş. (2020). Nomophobia levels and personalities of university students. Journal of Education and Learning, *9*(2), 166–177.

  • Afyon, Y. A., Mülazimoğlu, O., Celikbilek, S., Dalbudak, İ., & Kalafat, Ç. (2021). The effect of Tabata training program on physical and motoric characteristics of soccer players. Progress in Nutrition, *23*(S2), e2021255.

  • Dalbudak, İ., & Yigit, Ş. (2019). Hearing impaired students’ attitudes towards physical education and sports. Journal of Education and Training Studies, *7*(9), 55–60.

  • Dalbudak, İ., Gürkan, A. C., Yigit, Ş. M., Kargun, M., Hazar, G., & Dorak, F. (2016). Investigating visually disabled students’ attitudes about physical education and sport. International Journal of Environmental and Science Education, *11*(16), 9437–9447.

  • Dalbudak, İ., & Yaşar, Ö. (2021). Study of the social acceptance and self-esteem levels of high school students who do sports towards disabled students. Journal of Educational Psychology – Propositos y Representaciones, *9*.

  • Dalbudak, İ., & Yiğit, Ş. (2021). Technology use attitudes of teachers in the field of special education. Propósitos y Representaciones, *9*(SPE2), 1014.

  • Dalbudak, İ., & Yiğit, Ş. (2019). Evaluation of healthy lifestyle behaviors of B2-B3 visually impaired people doing sports. European Journal of Physical Education and Sport Science.

  • Dalbudak, İ., & Balyan, M. (2021). The relation between psychological wellness and perception of success of high school students doing sports. Revista on line de Política e Gestão Educacional, *25*(2), 1432–1450.

 

David Bhatti | Network Security | Best Researcher Award

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Dr. David Bhatti | Network Security | Best Researcher Award

Gwangju Institute of Science and Technology | South Korea

Dr. David Bhatti is a Postdoctoral Researcher at the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea, where his work centers on computer and communication security, cryptography, and AI-driven secure systems. He earned his PhD in Computer Science from the National University of Sciences and Technology (NUST SEECS), Islamabad, Pakistan, focusing on dynamic secret sharing for wireless networks and introducing novel approaches for secure multi-party key generation in low-resource environments. Over the past two decades, Dr. David Bhatti has built a diverse academic career, serving as Assistant Professor at the University of Central Punjab, University of Lahore, and the Institute of Management Sciences (PakAIMS), as well as a Research Associate at NUST. His teaching portfolio spans secure communication design, advanced computer networks, information security, operating systems, programming, and database systems at both undergraduate and postgraduate levels. Dr. David Bhatti research contributions cover cryptographic protocols, wireless sensor networks, blockchain, AI-enhanced imaging, cloud forensics, and the ethical challenges of artificial intelligence. He has published extensively in leading journals such as Scientific Reports, IEEE Access, Sensors, Computational Materials & Continua, and PLoS One, with recent works addressing chaotic map-based encryption, hyperspectral imaging via deep learning, and secure key generation protocols for next-generation wireless systems. In addition to academic achievements, Dr. David Bhatti has supervised numerous projects and led R&D initiatives in AI, blockchain, IoT, and healthcare applications. At GIST, he has secured competitive funding for “HyperBlock,” an AI-driven anti-spoofing face authentication project integrating hyperspectral imaging and blockchain. His ongoing research explores quantum-resilient cryptography and intelligent communication systems.

Profile: Google Scholar

Featured Publications

  • Bhatti, D. S., Saleem, S., Imran, A., Iqbal, Z., Alzahrani, A., Kim, H., & Kim, K.-I. (2022). A survey on wireless wearable body area networks: A perspective of technology and economy. Sensors, 22(20), 7722.

  • Malik, A. W., Bhatti, D. S., Park, T.-J., Ishtiaq, H. U., Ryou, J.-C., & Kim, K.-I. (2024). Cloud digital forensics: Beyond tools, techniques, and challenges. Sensors, 24(2), 433.

  • Malik, A. W., Zahid, A. H., Bhatti, D. S., Kim, H. J., & Kim, K.-I. (2023). Designing S-box using tent-sine chaotic system while combining the traits of tent and sine map. IEEE Access, 11, 79265–79274.

  • Bhatti, D. S., Hussain, M. M., Suh, B., Ali, Z., Akobir, I., & Kim, K.-I. (2024). IoT-enhanced transport and monitoring of medicine using sensors, MQTT, and secure short message service. IEEE Access, 12, 46690–46703.

  • Bhatti, D. S., Saleem, S., Imran, A., Kim, H. J., Kim, K.-I., & Lee, K.-C. (2024). Detection and isolation of wormhole nodes in wireless ad hoc networks based on post-wormhole actions. Scientific Reports, 14, 3428.

  • Bhatti, D. S., & Saleem, S. (2020). Ephemeral secrets: Multi-party secret key acquisition for secure IEEE 802.11 mobile ad hoc communication. IEEE Access, 8, 24242–24257.

  • Bhatti, D. S., Saleem, S., Ali, Z., Park, T.-J., Suh, B., Kamran, A., Buchanan, W. J., & Kim, K.-I. (2024). Design and evaluation of memory efficient data structure scheme for energy drainage attacks in wireless sensor networks. IEEE Access, 12, 41499–41516.

Jingcheng Tong | Deep Learning | Best Researcher Award

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Mr. Jingcheng Tong | Deep Learning | Best Researcher Award

Beijing Institute of Graphic Communication | China

Mr. Jingcheng Tong, a postgraduate student at the Beijing Institute of Graphic Communication, China, is an emerging researcher whose work focuses on advancing artificial intelligence applications in industrial manufacturing through deep learning and computer vision technologies. As a student member actively contributing to this growing field, he has developed innovative object detection algorithms tailored for steel material identification and quality assessment, bridging the gap between advanced AI methods and traditional manufacturing practices. His notable research, including the publication CBH-YOLO: A steel surface defect detection algorithm based on cross-stage mamba enhancement and hierarchical semantic graph fusion in the SCI-indexed journal Neurocomputing, highlights his ability to design effective solutions that significantly improve defect detection accuracy, enhance efficiency, and reduce manual inspection costs. Mr. Tong’s interdisciplinary approach not only advances industrial automation and smart manufacturing initiatives but also demonstrates how applied artificial intelligence can modernize conventional production systems and elevate product quality standards. In addition to his technical expertise, he exhibits strong academic commitment and a forward-looking vision, aiming to extend his research toward broader industrial applications of AI that can support sustainable, intelligent, and globally competitive manufacturing. Through his scholarly contributions, practical innovations, and dedication to excellence, Mr. Jingcheng Tong exemplifies the promise and potential of the next generation of researchers committed to shaping the future of intelligent manufacturing technologies.

Profile : Orcid

Featured Publication

Tong, J. (2025). CBH-YOLO: A steel surface defect detection algorithm based on cross-stage mamba enhancement and hierarchical semantic graph fusion. Neurocomputing. Advance online publication.

Bo Gao | Deep Learning | Best Researcher Award

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Dr. Bo Gao | Deep Learning | Best Researcher Award

Beijing Institute of Graphic Communication | China

Dr. Gao Bo, PhD, is a Professor and Master’s Supervisor at the School of Information Engineering, Beijing Institute of Graphic Communication, following a distinguished tenure at Inner Mongolia University of Finance and Economics. His research encompasses nonlinear dynamics, cryptography, game theory, and computational mathematics, where he has made notable interdisciplinary contributions linking theory and practice. According to Scopus, Dr. Gao has published 32 documents, cited 593 times across 488 works, with an h-index of 14, reflecting both productivity and international recognition. His studies have been published in leading journals such as Physical Review E, Applied Mathematics and Computation, Chaos, and IEEE Transactions on Circuits & Systems II: Express Briefs, highlighting his expertise in applied and computational mathematics. Beyond research papers, he has authored academic monographs, secured multiple invention and utility model patents, and registered software copyrights, showcasing his commitment to innovation. He has also led several funded projects supported by national and regional foundations, addressing challenges in lightweight cryptography, wireless sensor networks, and Internet of Things security. In academic service, he reviews for respected journals including Nonlinear Dynamics, Applied Mathematics and Computation, PLOS ONE, and China Communications. He also contributes professionally as a member of the Education and Popular Science Committee of the Chinese Society of Cryptologism. Through sustained research, project leadership, and mentoring, Dr. Gao has advanced knowledge in information security, fostered innovation in engineering sciences, and contributed to training the next generation of researchers.

Profile: Scopus

Featured Publications

Gao B, Tao K, Mu C, et al. Asymmetry of individual activity promotes cooperation in the spatial prisoner’s dilemma game. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, 33(9).

Gao B, Hong J, Guo H, et al. Cooperative evolution and symmetry breaking in interdependent networks based on alliance mechanisms. Physica A: Statistical Mechanics and its Applications, 2023, 609.

Lan Z Z, Dong S, Gao B, Shen Y J. Bilinear form and soliton solutions for a higher order wave equation. Applied Mathematics Letters, 2022, 134: 108340.

Dong S, Lan Z Z, Gao B, et al. Bäcklund transformation and multi-soliton solutions for the discrete Korteweg–de Vries equation. Applied Mathematics Letters, 2022, 125: 107747.

Gao B, Liu X, Lan Z Z, et al. The evolution of cooperation with preferential selection in voluntary public goods game. Physica A: Statistical Mechanics and its Applications, 2021, 584: 126267.

Gao B, Li B, Dong S, et al. Payoff-dependence learning ability resolves social dilemmas. International Journal of Modern Physics B, 2021, 35(08): 2150125.

Gao B, Liu X, Wu X, et al. The Stability of Nonlinear Feedback Shift Registers with Periodic Input. Computers, Materials & Continua, 2020, 62(2): 833-847.

Wang Q, Ren X, Gao B, et al. Heterogeneity reproductive ability promotes cooperation in spatial prisoner’s dilemma game. Chaos, Solitons & Fractals, 2020, 134: 109715.