Yuying Chen | Statistical Modeling and Simulation | Research Excellence Award

Published on by Statistics

Dr. Yuying Chen | Statistical Modeling and Simulation | Research Excellence Award

Jinling Institute of Technology | China

Dr. Yuying Chen is a dedicated materials scientist in the Department of Materials Engineering at the School of Materials Engineering, Jinling Institute of Technology, Nanjing, China, where she contributes extensively to research, teaching, and the advancement of materials innovation. She earned her Ph.D. in Materials Science from the Harbin Institute of Technology and enriched her international academic profile through a visiting Ph.D. appointment at the Department of Mining and Materials Engineering at McGill University in Montreal, Canada. Her academic background also includes a Master’s degree in Materials Science from the Harbin Institute of Technology and a Bachelor’s degree in Metal Materials Engineering from Shenyang University of Technology. Dr. Chen’s research expertise encompasses first-principles calculations, hydrogen storage materials, interface engineering, alloying effects, metal hydrides, and computational modeling of welding processes. She has authored 8 documents that investigate hydrogen adsorption and desorption mechanisms, Mg/Ni and Mg/Ti interface stability, alkali- and alkaline-earth-metal-doped hydrides, Zn-induced embrittlement behavior in steels, and advanced modeling techniques for underwater wet welding and duplex stainless-steel welding under acoustic and vibrational fields. Her scholarly contributions have accumulated 90 citations and reflect an impactful research profile with an h-index of 5, demonstrating the academic significance and visibility of her work within the materials science community. Over the course of her academic journey, Dr. Chen has received numerous accolades, including Merit Student awards, multiple University Fellowships, Outstanding Student Leader recognition, and acknowledgment as an Excellent League Member at Harbin Institute of Technology. She has presented her research findings at major scientific gatherings, including the International Conference on Computational Design and Simulation of Materials and the Chinese Materials Conference. With a strong record in computational materials science and interface behavior, Dr. Chen continues to advance innovative methodologies and scientific understanding toward the design, optimization, and reliability of next-generation materials systems.

Profiles: Scopus | Orcid

Featured Publications

Chen, Y., Dai, J., & Song, Y. Catalytic mechanisms of TiH2 thin layer on dehydrogenation behavior of fluorite-type MgH2: A first principles study.

Chen, Y. Y., Dai, J. H., Xie, R. W., & Song, Y. A first-principles study on interaction of Mg/Ni interface and its hydrogen absorption characteristics.

Chen, Y. Y., Dai, J. H., Xie, R. W., Song, Y., & Bououdina, M. First principles study of dehydrogenation properties of alkali and alkali-earth metal doped Mg₇TiH₁₆.

Chen, Y. Y., Dai, J. H., & Song, Y. Stability and hydrogen adsorption properties of Mg/Mg₂Ni interface: A first principles study.

Dai, J. H., Chen, Y. Y., Xie, R. W., & Song, Y. Influence of alloying elements on the stability and dehydrogenation properties of Y(BH₄)₃ by first principles calculations.

Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

Published on by Statistics

Dr. Chokri Aloui | Operations Research and Statistical Optimization | Research Excellence Award

University of Sousse | Tunisia

Dr. Chokri Aloui is an Assistant Professor at the Faculty of Economics and Management, University of Sousse, and a researcher at the Laboratory of Research in Innovation Management and Sustainable Development, Sousse Higher Institute of Management, specializing in microeconomics, industrial organization, platform and network economics, environmental economics, and the economic appraisal of development projects. He holds a Ph.D. in Economics from Sousse University, preceded by a Master’s degree from Tunisia Polytechnic School and a Bachelor’s degree from Jendouba University, and his academic trajectory reflects a consistent focus on network externalities, two-sided markets, competition, and digital economy dynamics. His teaching portfolio spans industrial economics, microeconomics at various levels, game theory, markets and strategies, development project appraisal, and business simulation, demonstrating broad expertise across applied and theoretical microeconomics. His research contributions include influential works on platform capacity sharing, congestion pricing, net neutrality, corporate social responsibility in two-sided platforms, and environmental certification within international trade, published in journals such as Economic Modelling, Networks and Spatial Economics, Managerial and Decision Economics, the International Review of Economics, and The Manchester School. Across his scholarly output, he has produced multiple peer-reviewed articles and maintains an active presence on platforms such as Google Scholar and ResearchGate. His Scopus profile reports approximately 43 citations, an h-index of 3, and a set of documents reflecting his ongoing research productivity. Overall, Chokri Aloui stands out as a researcher whose work integrates rigorous modeling with practical economic policy implications, contributing meaningfully to the understanding of digital markets, innovation, environmental responsibility, and development-oriented economic assessments.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Published on by Statistics

Assoc Prof. Dr. Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Wuhan Textile University | China

Assoc Prof. Dr. Weijia Han is an accomplished researcher in physics, materials science, and microelectronics, currently serving as a Lecturer at the School of Microelectronics, Wuhan Textile University, China. He has developed a strong international academic background through his roles as a Postdoctoral Researcher in Experimental Physics and Functional Materials at the Brandenburg University of Technology in Germany, a Guest Scientist at the Leibniz Institute for High Performance Microelectronics in Frankfurt (Oder), and a Research Associate at Osnabrück University as well as the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a PhD in Physical Chemistry from Osnabrück University, a Master’s degree in Applied Physics from Xiangtan University, and a Bachelor’s degree in Physics from Huanggang Normal University. His research focuses on plasmonic and photonic nanostructures, including plasmonic titanium nitride nanohole arrays, metamaterial narrowband absorbers, graphene-based composites, and insect-inspired nanostamping technologies. His work spans design, simulation, nanofabrication, and extensive optical and structural characterization, using tools such as electron microscopy, atomic force microscopy, Raman imaging, X-ray diffraction, FTIR, spectroscopy, and advanced photocurrent measurement systems. He has contributed significantly to several national and international projects involving on-chip optical sensors, CMOS-compatible plasmonic devices, and refractive-index sensor engineering. His scholarly output includes numerous peer-reviewed publications in high-impact journals, and his research performance is reflected in an h-index of 4, with approximately 49 citations across over 11 scientific documents, demonstrating strong global visibility and influence. In addition, he is co-inventor on a Chinese patent related to black phosphorus flake preparation. Known for his creativity, analytical strengths, and problem-solving skills, he is highly self-motivated, collaborative, and deeply committed to innovation in electronic engineering, sensor technology, and advanced material systems.

Profiles: Scopus | Google Scholar 

Featured Publications

Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

Published on by Statistics

Dr. Vikas Mehta | Statistical Computing and Programming | Research Excellence Award

Korean National Institute for International Education | South Korea

Dr. Vikas Mehta is a structural engineer and researcher specializing in seismic performance optimization, sustainable construction materials, and the application of advanced computational and machine learning methodologies to civil infrastructure systems. He completed his Ph.D. in Civil Engineering at Keimyung University, South Korea, where his award-winning doctoral research introduced innovative modifier-based and data-driven techniques for improving shear strength prediction and design accuracy in reinforced concrete beam-column joints. His expertise spans nonlinear finite element modeling, fragility analysis, physics-informed and graph-based machine learning, geospatial analytics, and performance-based seismic assessment, supported by strong proficiency in ETABS, OpenSees, SeismoSoft, Abaqus, MATLAB, Q-GIS, SPSS, Python, PyTorch, WEKA, and OriginPro. Dr. Mehta serves as a Postdoctoral Researcher at the Chonnam National University R&BD Foundation, contributing to advanced safety technologies for nuclear power plant structures under extreme hazard scenarios, including buckling resistance enhancement, retrofit optimization, and complex wind–terrain interaction studies. His professional background includes academic appointments in structural and construction engineering, where he taught subjects in earthquake engineering, finite element analysis, and structural systems while supervising graduate research and contributing to curriculum and laboratory development. Dr. Mehta has authored a substantial body of SCI-indexed research on seismic damage prediction, torsional behavior modeling, hybrid AI-mechanics frameworks, recycled and sustainable materials, computational methods, and structural performance evaluation, complemented by multiple patents in construction materials, damping devices, and waste-based composites. He has presented at leading international and national conferences and contributed to funded collaborative research, including projects involving global academic and industry partners. His professional affiliations include membership in ASCE, the Institute of Physics (AMInstP), IAEME (Fellow), and licensure as a Class-A engineer under the Himachal Pradesh Town and Country Planning Act. Dr. Mehta’s contributions to structural engineering and computational mechanics continue to gain international visibility, reflected in an h-index of 7, over 172 citations, and more than 19 published documents, underscoring his growing influence in machine learning–driven structural design, seismic resilience, and sustainable construction innovation.

Profiles: Scopus | Orcid

Featured Publications

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Corrigendum to “Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints”.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Predictive framework for shear strength and failure modes of exterior reinforced concrete beam–column joints using machine learning. Structural Concrete. h.

Sagar, G. S., Mukthi, S., & Mehta, V. (2025). Analyzing compressive, flexural, and tensile strength of concrete incorporating used foundry sand: Experimental and machine learning insights. Archives of Computational Methods in Engineering.

Mehta, V., Thakur, M. S., & Chey, M. H. (2025). Enhancing seismic design accuracy of RC beam-column joints: Modifier-based approach for shear strength predictions. Structures.

Mehta, V., Jang, S. H., & Chey, M. H. (2025). Adaptive simulation and data-driven hybrid modeling for predicting shear strength and failure modes of interior reinforced concrete beam-column joints. Structures.

Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

Published on by Statistics

Prof. Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

Ewha Womans University | South Korea

Dr. Youngjoo Kwon is a highly accomplished professor in the College of Pharmacy and Graduate School of Pharmaceutical Sciences at Ewha Womans University, where she has held influential leadership roles including Director of the Ewha Drug Development Research Core Center, Chair of the Graduate School, and Director of a major convergence education program. After completing her Ph.D. in Analytical Chemistry at the University of Houston and postdoctoral training at Baylor College of Medicine, she established a research laboratory that integrates advanced analytical instrumentation such as HPLC, GC-MS, LC-MS/MS, and NMR with computational modeling and diverse biochemical, molecular, and cellular biology platforms. Her interdisciplinary research spans metabolite profiling of endogenous and xenobiotic compounds, development of isozyme-selective enzyme inhibitors, and elucidation of the non-canonical cytosolic functions of the transcription factor ELF3/ESX, particularly its interaction with MED23 in driving metastasis and drug resistance in various cancers. Additionally, her laboratory develops and evaluates small-molecule modulators against challenging disease targets related to cancer, fibrosis, and neurodegeneration. Over her prolific scientific career, Dr. Kwon has published more than 175 peer-reviewed documents, accumulated over 5,053 citations, and achieved an h-index of 35, underscoring both the breadth and lasting impact of her contributions to pharmaceutical sciences and biomedical research. Her work has appeared in leading journals and has resulted in patents and successful licensing initiatives, demonstrating strong translational value. Dr. Kwon’s achievements have earned her numerous honors from major scientific societies, including awards from the Korean Society of Applied Pharmacology, the Pharmaceutical Society of Korea, and a ministerial award from the Ministry of Trade, Industry and Energy. She is also deeply engaged in national regulatory and scientific policy activities, serving on advisory committees for the Ministry of Food and Drug Safety, the Korea Drug Development Fund, and several national research and technology evaluation boards. In addition, she contributes to the global scientific community through editorial roles in multiple international journals. Her research philosophy-rooted in mechanistic understanding, analytical innovation, and therapeutic development-continues to drive advancements in areas such as KRAS-mutant colorectal cancer, hepatic fibrosis, and metastatic progression, solidifying her standing as a leading scientist shaping next-generation drug discovery and disease-targeted interventions.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Mrs. Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

Kocaeli University | Turkey

Mrs. Zeliha Coskun Tas is a distinguished researcher in the field of Biomedical Engineering, currently serving as a Research Assistant at Kocaeli University, Faculty of Technology, Biomedical Engineering Department. She is actively pursuing her Ph.D. at the Institute of Science, Kocaeli University, where she also completed her Master’s degree, following her Bachelor’s degree in Biomedical Engineering from Erciyes University. Her research expertise encompasses biomaterials, biometals, bioceramics, and functionally graded biomaterials, with a strong emphasis on developing innovative bioactive implant interfaces and evaluating biomechanical performance in medical applications. Zeliha Coskun Tas has authored and co-authored several impactful publications in high-ranking SCI-E journals, including the Journal of Biomedical Materials Research: Part A, World Neurosurgery, and the Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. Her study, “A Novel Radially Graded Hydroxyapatite-Based Composite for Bioactive Implant Interfaces,” reflects her commitment to advancing bioengineering materials for enhanced implant functionality. In addition, she has presented multiple peer-reviewed papers at international conferences in Italy and Turkey, focusing on 3D printing applications, biomechanical testing, and advanced implant design. Her research contributions have also extended to nationally funded projects supported by Kocaeli University’s Scientific Research Project Unit (BAP), where she played a leading role in projects such as Production and Characterization of Functionally Graded Ceramic and Polymer Doped Titanium Implants and Development of an Apparatus Design for Radial Gradient Powder Material Casting. Her earlier project, Development of Torsion and Four-Point Bending Test Systems for Finger and Toe Bones, demonstrates her interdisciplinary approach linking materials science and biomechanics. Beyond research, she actively contributes to the scientific community through peer reviews for reputed journals such as the Journal of Materials Engineering and Performance, Sakarya University Journal of Science, and Physical and Engineering Sciences in Medicine. A recipient of the TÜBİTAK 2211-C and 2214-A scholarships, she continues to pursue excellence in biomedical research with a focus on creating advanced, sustainable, and biocompatible materials for medical innovation. Through her dedication, academic rigor, and innovative research, Res. Asst. Zeliha Coskun Tas exemplifies the new generation of biomedical engineers shaping the future of healthcare technology.

Profiles: Google Scholar

Featured Publications

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2023). Metatarsal bone model production using 3D printing and comparison of material properties with results obtained from CT-based modeling and real bone. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 5.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Design and manufacture of the torque test setup for small and shapeless materials. Turkish Journal of Engineering, 6(1), 81–86.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Comparison of the stress distribution between high-heeled and flat shoes on the first metatarsal bone. Politeknik Dergisi, 24(3), 1303–1308.

Çelik, T., & Coşkun Taş, Z. (2024). Biomechanical evaluation of a newly developed functional-grade composite material for pedicle screws. World Neurosurgery, 187, e525–e533.

Coşkun Taş, Z., & Çelik, T. (2022). Design of new pedicle screw and biomechanical evaluation using finite element analysis. 3rd International Conference on Applied Engineering and Natural Sciences, 1.

Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

Published on by Statistics

Prof. Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

S.P.Timoshenko Institute of Mechanics | Ukraine

Dr. Kostyantin Kotenko is an Professor in the Department of Theoretical Mechanics at the Kyiv National University of Construction and Architecture (KNUCA), Ukraine, specialising in building structures and civil engineering systems. He holds the degree of Candidate of Technical Sciences (equivalent to PhD) and has developed extensive expertise in the dynamics of layered, or sandwich, shell structures with inhomogeneous fillers. A graduate of KNUCA, Dr. Kotenko’s academic background is rooted in the theory and design of complex structural systems, and his research focuses on the dynamic response and stability of multi-layered shells subjected to transient, impact, and nonstationary loads. Over his career, he has co-authored numerous influential papers in international journals, exploring dynamic responses of domes, cylindrical and conical shells with inhomogeneous elastic cores. His work has earned recognition for its analytical depth and contribution to advancing the field of structural dynamics. According to his Scopus profile, Dr. Kotenko has authored 10 scientific publications, received approximately 16 citations, and holds an h-index of 1, reflecting his active engagement and growing impact in the global research community. At KNUCA, he teaches theoretical mechanics and structural dynamics, supervises postgraduate research, and contributes to academic development through innovative research on layered shell mechanics. His continuing investigations into the stress–strain behaviour and stability of multi-layered systems have practical applications in modern civil and aerospace engineering. Dr. Kotenko’s scholarly contributions, combined with his dedication to education and applied mechanics, establish him as a prominent specialist in the field of dynamic analysis of layered and composite structural shells.

Featured Publications

Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

Published on by Statistics

Mr. Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

Indian Institute of Technology | India

Mr. Deepak Kumar is a dedicated engineer-researcher driving frontier work in fluid mechanics, multiphase flows, atomization, and energy sustainability. He completed his B.Tech in Aeronautical Engineering from Gautam Buddha Technical University, followed by an M.Tech in Aerospace Engineering from the Indian Institute of Technology Kanpur and is nearing completion of his Ph.D. in Aerospace Engineering at IIT Kanpur, where he has built a strong academic and experimental foundation. His industry-relevant research spans primary breakup of jets in cross-flow and swirling air, twin-fluid injectors for fluidized bed catalytic cracking risers sponsored by HPCL, throttleable rocket injectors developed for ISRO, and urea-deposition and thermal-decomposition studies for SCR after-treatment systems sponsored by Cummins. Before entering academia, he served as Senior Project Associate and Project Engineer at IIT Kanpur and is currently a faculty member at VIT University, Bhopal. He is proficient in advanced experimental diagnostics such as LDV/PDPA, PIV, high-speed imaging, 3D hot-wire anemometry, and sensor-based DAQ systems, and is skilled in software tools like LabView, TecPlot 360, ANSYS Workbench, and ICEM-CFD, along with programming expertise in C++, MATLAB, and Python. His research output includes multiple peer-reviewed journal papers and numerous international conference presentations, recognized with a Best Paper Award for his work on twin-fluid injectors for modern FCC systems. He has also mentored students as a tutor and teaching assistant in fluid mechanics and rate processing on both IIT Kanpur and NPTEL platforms. According to available bibliometric sources, his h-index stands at approximately 1, with 4 total citations and 17 published documents, highlighting his growing impact in the fields of alternative fuels, atomization, and flow diagnostics. Dr. Kumar continues to pursue innovation aimed at addressing global energy-sustainability challenges while inspiring the next generation of engineers and researchers.

Profiles: Scopus |  Orcid

Featured Publications

Kumar, D., & Kushari, A.. Spray dynamic in twin-fluid atomizer with tangentially air intake. Journal of Fluid Mechanics, 897, 112–125.

Kumar, D., Sikroria, T., & Kushari, A. Droplet dynamics of liquid jet in swirling crossflow air at elevated pressure environment. Journal of Engineering for Gas Turbines and Power.

Kumar, D., & Kushari, A. Spray dynamic in twin-fluid atomizer with tangentially air intake. Chemical Engineering & Technology.

Kumar, D., Sikroria, T., & Kushari, A. Experimental study on liquid jet trajectory in cross flow of swirling air at elevated pressure condition. Journal of Engineering for Gas Turbines and Power.

Kumar, D., Kushari, A., Kumar, P., & Mishra, H. Droplet size distribution in twin fluid nozzle for modern FCC riser. Journal of Fluid Flow, Heat and Mass Transfer.

Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Published on by Statistics

Dr. Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Sinomune Pharmaceutical Co. Ltd | China

Dr. Om Sambhaji Shelke is a highly accomplished pharmaceutical scientist with extensive expertise in the formulation and development of topical, semisolid, solid, and liquid drug products. Holding a Ph.D. in Pharmacy and an M. Pharmacy from Savitribai Phule Pune University, he has over a decade of experience across global markets including the US, EU, China, Hong Kong, and India. Currently serving as Chief Scientist at Sinomune Pharmaceutical Co. Ltd. in Wuxi, Jiangsu, China, Dr. Shelke leads the development of generic topical products for the NMPA market. He is skilled in Quality by Design (QbD)-based development of creams, ointments, gels, shampoos, and solutions, with specialization in novel formats such as emulgel, organogel, nanogel, solid lipid nanoparticles, suspensions, and toothpaste. He also holds three granted patents and has published multiple scientific and technical articles. Throughout his career, he has received multiple awards recognizing his innovation, knowledge sharing, and leadership, including the StarFire Award. Dr. Shelke has held pivotal roles at leading pharmaceutical and consumer healthcare companies such as Prinbury Biopharm Co. Ltd., Encube Ethicals Pvt Ltd., Bright Future Pharmaceuticals Ltd., Unilever Industries Pvt Ltd., Abbott Healthcare Pvt Ltd., Dr. Reddy’s Laboratories, and Glenmark Pharmaceuticals Ltd., contributing to both regulatory-compliant NDA, ANDA, and 505(b)(2) products as well as OTC, cosmetic, and personal care formulations. His professional journey reflects a consistent commitment to scientific excellence, innovative product development, and leadership in cross-functional teams, positioning him as a prominent figure in global pharmaceutical research and development.

Profiles: Google Scholar | Orcid

Featured Publications

F. Jie, O. Shelke, Z. Yijie, C. Yulan, & L. Yongbo. (2025). Q1 and Q2 selection, Q3, IVRT, IVPT, pharmacokinetic and pharmacodynamic evaluation of topical generic product. Drug Development and Industrial Pharmacy, 51(6), 555–565.

J. Feng, O. S. Shelke, Y. Chen, Z. Zhang, X. Tang, & Y. Zhu. (2025). IVRT and IVPT of desonide lotion and cream: Correlation with human bioequivalence study. Journal of Pharmaceutical Innovation, 20(5), 196.

S. Krishna Phani Chandra, S. Om Sambhaji, & N. Shorgar. (2025). Quantification of leniolisib in rat plasma using LC-MS/MS: Method development, validation, and pharmacokinetic study. African Journal of Biological Sciences, 7(7), 121–142.

S. Om. (2025). Editorial article: The transformative impact of AI in pharmaceutical drug product development. Insights of Pharmatech, 1(2), 1.

S. Gadge, O. S. Shelke, R. Pingale, P. Palande, S. Tandale, P. Sonawane, … (2025). Development and evaluation of a polyherbal neem-based emulgel enriched with herbal oils for enhanced topical delivery and antibacterial efficacy. Journal of Chemical Health Risks, 15(3), 2189–2209.

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

Published on by Statistics

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.