Jian Xia | Artificial Intelligence in Statistics | Research Excellence Award

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Dr. Jian Xia | Artificial Intelligence in Statistics | Research Excellence Award

Hubei University of Automotive Industry | China

Dr. Jian Xia is a dedicated materials scientist specializing in next-generation electronic and photonic devices, with a strong academic foundation and a growing record of impactful research. He obtained his Ph.D. degree from the School of Materials Science and Engineering at Huazhong University of Science and Technology, where he developed expertise in resistive switching devices, phase-change materials, and advanced optical memory technologies. After completing his doctoral studies, he joined the Hubei University of Automotive Technology as a lecturer, contributing actively to both teaching and research in the field of electronic materials and integrated circuit design. Dr. Xia’s research interests encompass memristors, phase-change memory, and photonic neuromorphic devices, all of which hold promising applications in high-performance computing, data storage, and artificial intelligence hardware. He has undertaken notable research projects, including the Open Fund of the Hubei Key Laboratory of Energy Storage and Power Battery and the Doctoral Scientific Research Foundation of Hubei University of Automotive Technology. With a citation index of 361 and a research portfolio of 20 SCI-indexed publications, Dr. Xia has contributed articles to leading international journals such as Nature Communications, Laser & Photonics Reviews, ACS Photonics, Applied Physics Letters, IEEE Electron Device Letters, and Science China Materials. His innovative contributions are further demonstrated by nine patents that are either published or under review, highlighting his commitment to advancing practical and technologically significant developments in electronic device engineering. Although he has yet to hold editorial appointments or professional memberships, his scholarly influence continues to grow through strong research visibility and future collaboration potential. Dr. Xia maintains an active academic presence on platforms such as ResearchGate and continues to advance pioneering research aimed at developing energy-efficient, high-density, and neuromorphic computing devices to meet the evolving demands of modern information technology.

Citation Metrics (Scopus)

400
300
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100
0

Citations
361

Documents
7

h-index
5

Citations

Documents

h-index


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Featured Publication

 

Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

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Mr. Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

Kiost | South Korea

Mr. Khurshid Hussain is a dynamic researcher whose work spans advanced automotive engineering, semiconductor design, integrated sensing and communications, and AI-driven signal processing, establishing him as a multidisciplinary contributor across next-generation wireless, cybersecurity, and intelligent vehicular systems. He holds a Master’s degree in Advanced Automotive Engineering from Sun Moon University, South Korea, where he specialized in high-performance millimeter-wave circuit design with emphasis on 60 GHz digital variable-gain amplifiers, beamforming architectures, low-power attenuators, and chip-level ISAC systems for secure and intelligent communication. His research extends into geomatics and remote sensing, focusing on multimodal mapping using optical, SAR, and LiDAR streams, change detection, 3D reconstruction, and uncertainty-aware geospatial pipelines, alongside self-supervised and weak-supervised learning approaches for large-scale spatial data modeling. He is the inventor of a patented transistor-array-based variable attenuator and has authored an expanding collection of peer-reviewed publications in leading journals such as Electronics, IEEE Access, Applied Sciences, and IEEE Transactions, addressing topics ranging from radar–communication co-design and ultrasonic 3D beamforming sensors to predictive maintenance of aerospace components, OTFS-based V2X ISAC architectures, and AI-enhanced signal intelligence. His scholarly profile includes 9 documents, 77 citations, and an h-index of 4, reflecting his growing influence in mmWave IC design, wireless sensing, and AI-integrated communication. Khurshid has delivered technical presentations at major international conferences covering maritime IT convergence, high-frequency amplifier design, battery analytics, advanced beamforming, and power-efficient RF front-end systems. His expertise spans Cadence, HFSS, Python, MATLAB, OrCAD, cybersecurity tools, and vector network analyzers, reinforced by experience in transceiver integration, AI-chip convergence, intrusion detection systems, battery research, and embedded engineering. Earlier, he completed his B.Sc. in Electrical Engineering with a focus on IoT-based renewable-energy automation, where he developed sensor-driven, cloud-connected, and energy-efficient systems. Fluent in English and active in multicultural environments, Khurshid is known for his creativity, leadership, communication skills, and passion for innovation, continually advancing secure, intelligent, and energy-efficient technologies for the automotive, wireless, and sensing industries.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hussain, K., & Yoo, J. (2025). Low-latency marine-based OTFS echo parameter estimation enabled by AI. Sensors, 25(23), Article 7104. DOI: 10.3390/s25237104

Hussain, K., Ali, E. M., Hussain, W., Raza, A., & Elkamchouchi, D. H. (2025). Robust OTFS-ISAC for vehicular-to-base station end-to-end sensing and communication. Electronics, 14(21), Article 4340. DOI: 10.3390/electronics14214340

Hussain, K., Jeon, W., Lee, Y., Song, I., & Oh, I. (2025). CMOS-compatible ultrasonic 3D beamforming sensor system for automotive applications. Applied Sciences, 15(16), Article 9201. DOI: 10.3390/app15169201

Hussain, K., & Oh, I. (2024). Joint radar, communication, and integration of beamforming technology. Electronics, 13(8), Article 1531. DOI: 10.3390/electronics13081531

Hussain, K., & Oh, I. (2024). Review of joint radar, communication, and integration of beam-forming technology. Preprint. DOI: 10.20944/preprints202404.0208.v1

Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

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Dr. Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Normasys | France

Dr. Haifa Jammeli is a research fellow at the Institut Supérieur de Gestion de Tunis, specializing in business computing and operations research. She holds a PhD from the Higher Institute of Management in Tunisia and a Master’s degree in Logistics and Transportation Sciences from the Higher Institute of Logistics and Transportation, Sousse University. Her academic and professional journey spans over a decade, with significant contributions to supply chain optimization, AI in logistics, and sustainable urban planning. She is a part-time instructor at Paris Nanterre University and NEOMA Business School, teaching courses in supply chain management, operations research, data analysis, and IT project management. Her research focuses on optimizing transportation routes for COVID-19 patients and cash logistics using tools like CPLEX, QGIS, and Python, and she has developed AI models to forecast urban solid waste generation and propose green logistics solutions for household waste collection. With over 70 citations across nine publications, her work has been presented at international conferences and published in journals such as IEEE Transactions on Engineering Management and Annals of Operations Research. Her h-index is 10, reflecting both productivity and impact in her field. She has received awards including the Perficio Award for Best Woman Entrepreneur of the Year and was a finalist for the IFROS Prize for Operational Research in Development. Fluent in English, French, and Arabic, she combines strong technical skills (CPLEX, MATLAB, Python, R, SQL, QGIS) with experience in teaching, project leadership, and applying AI-based decision models to real‐world sustainability challenges.

Profiles: Scopus | Orcid

Featured Publications

Alaya, H., Jammeli, H., Ben Abdelaziz, F., Masmoudi, M., & Verny, J. (2024). Sustainable logistics for transfer of COVID-19 patients: Lesson learned from France. International Transactions in Operational Research.

Jammeli, H., & Verny, J. (2024). A multi-objective model for two-level distribution system in the city of Paris. Annals of Operations Research. (Accepted for publication)

Jammeli, H., Khefacha, A., Sellei, B., & Verny, J. (2023, October 18–21). The impact of AI tools in education environment. In 2023 IEEE ASEE Frontiers in Education Conference, College Station, Texas.

Jammeli, H., Alaya, H., & Verny, J. (2023, October 23–25). An analysis of the role of the Internet of Things and sensor technologies in optimizing waste management in the city of Sousse, Tunisia . World Recycling Convention, Madrid, Spain.

Jammeli, H., & Verny, J. (2022). A literature review for green smart home delivery problem in urban environments. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 756–760). IEEE.

Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

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Dr. Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

 Jiangxi University of Finance and Economics | China

Dr. Jianjian Chen is a lecturer in the School of Information Management and Mathematics at Jiangxi University of Finance and Economics, Jiangxi, P. R. China, where he has established himself as a promising scholar in the fields of management science, decision support, and electronic commerce. His research focuses on platform economics, online marketplaces, and decision support methodologies that contribute to both the theoretical and practical advancement of information systems and business strategies. Over the course of his career, Chen has built a solid portfolio of high-quality research, with his work appearing in well-regarded journals including Decision Support Systems, Information Systems Frontiers, Computers & Industrial Engineering, Electronic Commerce Research, and Electronic Commerce Research and Applications. These publications highlight his expertise in applying analytical and empirical methods to understand the complexities of digital platforms and e-commerce ecosystems. According to his Scopus profile Chen has published 7 scholarly documents, which have collectively received 86 citations, resulting in an h-index of 5, reflecting both the productivity and the impact of his research. His contributions not only enrich the academic discourse on decision support and electronic commerce but also offer practical insights for businesses navigating digital transformation and platform-based economies. Chen’s scholarship demonstrates a balance between rigorous methodological development and the application of innovative models to real-world problems, reinforcing his role as a valuable contributor to the intersection of management, information systems, and economics. By combining theoretical frameworks with practical problem-solving approaches, his research provides meaningful support for decision-making in the digital economy and underscores his growing influence within the international academic community.

Profile: Scopus 

Featured Publications

“Traditional e-commerce or live e-commerce? Online sales model selection strategies considering streamers’ bargaining behaviors”

Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

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Dr. Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

IIT Roorkee | India

Dr. Saikat Biswas is an Indian chemical engineer and academic whose research primarily focuses on computational fluid dynamics (CFD), multiphase flow, and microfluidics, with a special emphasis on droplet dynamics including breakup, splitting, and the transition from dripping to jetting in complex microchannel geometries. He earned his PhD in Chemical Engineering from the Indian Institute of Technology Guwahati (2016–2023), where his doctoral work investigated droplet breakup dynamics in confined microscale flows, and previously completed both his M.Tech and B.Tech in Chemical Engineering at the National Institute of Technology Agartala. Throughout his academic journey, he has published 14 documents, accumulating 41 citations and achieving an h-index of 3, reflecting his growing impact in the field. His contributions include both numerical and computational studies, such as two-dimensional and three-dimensional simulations of droplet splitting at T-junctions and multifurcating channels, investigations of flow-focusing geometries, and analyses of the role of viscosity ratio, surface tension, and channel design in influencing microfluidic droplet behaviour. Skilled in advanced tools such as ANSYS Fluent, COMSOL Multiphysics, OpenFOAM, and MATLAB, he integrates computational methods with engineering applications to address fundamental and applied challenges. Recognized as hard-working, adaptable, and collaborative, Biswas continues to contribute to the advancement of microfluidics and multiphase flow research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“Digital electronic based portable device for colorimetric quantification of ketones and glucose level in human urine”

“Droplet splitting in multifurcating microchannel: A three-dimensional numerical simulation study”

“3D simulation of dripping and jetting phenomena in a flow-focusing geometry”

“A computational study on transition mechanism of dripping to jetting flow in a flow focusing geometry”

“Influence of microchannel geometry on droplet breakup dynamics: A computational study”