Dr. Jill P. Smith | Cancer therapeutics | Best Researcher Award

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Dr. Jill P. Smith | Cancer therapeutics | Best Researcher Award

Professor | Georgetown University | United States

Dr. Jill P. Smith is a distinguished Professor of Medicine at Georgetown University, holding dual appointments in the Departments of Medicine and Oncology, with leadership roles at the Lombardi Comprehensive Cancer Center. Her academic journey, from the University of Florida through the University of Missouri to her fellowship in Gastroenterology and Hepatology, has been marked by an enduring dedication to translational science and Cancer therapeutics. Over her illustrious career, Dr. Smith has pioneered landmark studies in Cancer therapeutics, particularly focusing on pancreatic and liver malignancies. Her investigations into cholecystokinin (CCK) receptor signaling, pancreatic tumor biology, and the development of proglumide-based interventions have advanced the understanding of Cancer therapeutics mechanisms at both cellular and systemic levels. She has directed numerous NIH and Department of Defense–funded projects that explore innovative Cancer therapeutics, such as receptor blockade, fibrosis modulation, and nanoparticle-based drug delivery systems. Dr. Smith’s honors include the Harrington Innovator Scholar Award, Bayer Discovery Awards, National Academy of Inventors membership, and Georgetown’s Innovator of the Year recognition—each underscoring her impact on Cancer therapeutics innovation. Her mentorship of generations of researchers and clinicians has fostered growth in translational research and Cancer therapeutics leadership. Her research skills encompass molecular oncology, preclinical modeling, pharmacological design, and clinical trial development in Cancer therapeutics, aligning scientific discovery with patient-centered outcomes. Dr. Smith’s professional excellence and lifelong pursuit of advancing Cancer therapeutics have made her a global authority in gastroenterological oncology. Scopus profile of 3,983 Citations, 109 Documents, 35 h-index.

Profile: Scopus

Featured Publications

1. Nature Communications. (2025). Allelic effects on KLHL17 expression underlie a pancreatic cancer genome-wide association signal at chr1p36.33.

2. Cancers. (2025). Mechanistic insights into proglumide’s role in immune cell efficacy and response to immune checkpoint inhibitor therapy in hepatocellular carcinoma.

3. Molecular Cancer Therapeutics. (2025). Target-specific locked nucleic acid gapmer decreases growth and metastases of pancreatic cancer.

4. Livers. (2025). Endogenous alcohol and auto-brewery syndrome complicating liver transplantation: A case report and literature review.

5. Cancer Investigation. (2025). A phase I study of the naturally occurring bioactive, opioid growth factor, in patients with unresectable hepatocellular cancer.

Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

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Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

Leading Scientific Researcher | Institute for Applied Problemss of Mechanics and Mathematics | Ukraine

Prof. Viktor Mykhas’kiv is a distinguished researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine. His academic achievements include a Doctor of Science in Physics and Mathematics and a professorship in Mechanics of Deformable Solids. His extensive expertise in Computational Methods spans across Computational Mechanics, Materials Science, Structural Mechanics, and Multiscale Mathematical Modeling. Through his pioneering work, he has applied Computational Methods to study wave propagation, metamaterials, and nanomechanics, advancing knowledge in multiple scattering theory. His research leadership in international collaborations under INTAS, STCU, DAAD, DFG, and Fulbright programs highlights his ability to integrate Computational Methods within global scientific frameworks. As a team leader and project manager, he has promoted innovative Computational Methods in the investigation of elastic metamaterials and complex lattice structures. He has published widely, authoring over seventy-six Scopus-indexed papers, two books, and contributing to editorial boards of international journals like Mathematical Methods and Physicomechanical Fields. His commitment to excellence in Computational Methods is reflected in his role as a member of the European Structural Integrity Society. He has also served as a visiting researcher in the USA and Germany, applying Computational Methods to solve advanced mechanical and physical problems. His awards and honors recognize his groundbreaking use of Computational Methods in applied mechanics and theoretical modeling. With remarkable research skills and professional integrity, Prof. Viktor Mykhas’kiv continues to contribute significantly to global scientific progress. Scopus profile of 474 Citations, 76 Documents, 14 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Stankevych, V. Z., & Mykhas’kiv, V. V. (2023). Intensity of dynamic stresses of longitudinal shear in a periodically layered composite with penny-shaped cracks. Journal of Mathematical Sciences, 269(2), 268–280.

2. Mykhas’kiv, V. V., & Stasyuk, B. M. (2021). Effective elastic moduli of short-fiber composite with sliding contact conditions at interfaces. Mechanics of Composite Materials, 57(6), 845–854.

3. Mykhas’kiv, V., & Stankevych, V. (2019). Elastodynamic problem for a layered composite with penny-shaped crack under harmonic torsion. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 99(8), e201800193.

4. Mykhas’kiv, V. V., Zhbadynskyi, I. Y., & Zhang, C. (2019). On propagation of time-harmonic elastic waves through a double-periodic array of penny-shaped cracks. European Journal of Mechanics - A/Solids, 74, 68–77.

5. Zhbadynskyi, I. Y., & Mykhas’kiv, V. V. (2018). Acoustic filtering properties of 3D elastic metamaterials structured by crack-like inclusions. Proceedings of the International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 54–59.

Assist. Prof. Dr. Hassan Nasiri Mardanqom | Plasmonics | Best Researcher Award

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Assist. Prof. Dr. Hassan Nasiri Mardanqom | Plasmonics | Best Researcher Award

Postdoctoral Researcher | University of Tabriz | Iran

Assist. Prof. Dr. Hassan Nasiri Mardanqom is a distinguished researcher whose academic and professional endeavors are deeply rooted in the field of plasmonics, biophotonics, and nanoengineering. His extensive work as a postdoctoral researcher at the University of Tabriz in both Biochemistry and Electrical Engineering has positioned him at the forefront of plasmonics-based sensor technology. With advanced expertise in plasmonics, quantum technology, and nanocomposites, his research primarily revolves around the design and fabrication of plasmonics-enhanced optical and biosensing systems. Through innovative applications of plasmonics in biophotonic platforms, he has developed several highly sensitive surface plasmon resonance (SPR) sensors for detecting substances such as melamine, nitrite, and Amlodipine. His mastery in simulation software like COMSOL and Lumerical allows him to optimize plasmonics structures and their optical interactions at the nanoscale. Recognized for his achievements with top academic rankings and awards, Assist. Prof. Dr. Nasiri has authored numerous high-impact plasmonics publications in Q1 and Q2 journals. His laboratory experience encompasses advanced instrumentation, including cyclic voltammetry, flow cytometry, and plasmonics instruments such as Bionavis 210. Beyond technical proficiency, his contributions to teaching and mentoring reflect a deep commitment to advancing plasmonics and biophotonic research. Overall, his scientific vision emphasizes the integration of plasmonics in biomedical sensing and optical communication, highlighting his role as a pioneering force in next-generation plasmonics-driven nanotechnology.

Profile: Google Scholar

Featured Publications

1. Nasiri, H., Baghban, H., Teymouri-Mofrad, R., & Mokhtarzadeh, A. (2023). Graphitic carbon nitride/magnetic chitosan composite for rapid electrochemical detection of lactose. International Dairy Journal, 136, 105489.

2. Nasiri, H., & Abbasian, K. (2024). High-sensitive surface plasmon resonance sensor for melamine detection in dairy products based on graphene oxide/chitosan nanocomposite. Food Control, 166, 110761.

3. Nasiri, H., Abbasian, K., Salahandish, M., & Elyasi, S. N. (2024). Sensitive surface plasmon resonance biosensor by optimized carboxylate functionalized carbon nanotubes/chitosan for amlodipine detecting. Talanta, 276, 126249.

4. Nasiri, H., Abbasian, K., & Baghban, H. (2024). Highly sensitive quantification of amlodipine in real samples using graphene oxide-chitosan surface plasmon resonance sensor. Sensors and Actuators A: Physical, 368, 115152.

5. Nasiri, H., Baghban, H., Teymouri-Mofrad, R., & Mokhtarzadeh, A. (2023). Chitosan/polyaniline/graphene oxide-ferrocene thin film and highly-sensitive surface plasmon sensor for glucose detection. Optical and Quantum Electronics, 55(11), 948.

Dr. Deepakkumar R | Engineering | Best Researcher Award

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Dr. Deepakkumar R | Engineering | Best Researcher Award

Assistant Professor | Vellore Institute of Technology | India

Dr. Deepakkumar R is a distinguished Engineering academician and researcher with expertise in Computational Fluid Dynamics, Mechanical Engineering, and Thermal Engineering. His Engineering career reflects deep engagement with teaching, research, and innovation in advanced Engineering systems such as heat exchangers, solar air heaters, hydrogen storage, and fuel cells. He has contributed significantly to Engineering research through his studies on vortex shedding, phase change materials, and multiphase flow analysis. His professional experience includes serving at leading Engineering institutions such as VIT Vellore, SRM Institute of Science and Technology, NIT Andhra Pradesh, and IIITDM Kancheepuram, where he guided numerous Engineering projects and doctoral candidates. His Engineering education spans from a Bachelor’s in Mechanical Engineering to a Ph.D. in Mechanical Engineering from IIITDM Kancheepuram, emphasizing Computational Engineering and simulation of fluid flows. Dr. Deepakkumar’s research skills include expertise in CFD tools like ANSYS Fluent, CATIA, Tecplot, and MATLAB, combined with experimental proficiency in wind and water tunnel analysis. His contributions to Engineering education and innovation have been recognized through multiple awards, including the “Outstanding Research Award” and “Best Research Paper Award,” underlining his excellence in Engineering research and pedagogy. His innovative work also extends to design registration in heat exchanger technology, showcasing his Engineering creativity and applied problem-solving capability. Overall, Dr. Deepakkumar R exemplifies the integration of Engineering research, teaching, and technology-driven innovation, continuously contributing to sustainable and renewable energy systems within the broader Engineering community. His Scopus profile of 184 Citations, 22 Documents, 7 h-index.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Deepakkumar, R., & Jayavel, S. (2017). Air side performance of finned-tube heat exchanger with combination of circular and elliptical tubes. Applied Thermal Engineering, 119, 360–372.

2. Deepakkumar, R., Jayavel, S., & Tiwari, S. (2017). Cross flow past circular cylinder with waviness in confining walls near the cylinder. Journal of Applied Fluid Mechanics, 10(1), 183–197.

3. Ramalingam, S., Babu, D., Deepakkumar, R., & Malinee, S. (2022). Effect of Moringa oleifera biodiesel–diesel–carbon black water emulsion blends in diesel engine characteristics. Energy Reports, 8, 9598–9609.

4. Deepakkumar, R., & Jayavel, S. (2018). Effect of local waviness in confining walls and its amplitude on vortex shedding control of the flow past a circular cylinder. Ocean Engineering, 156, 208–216.

5. Ramalingam, S., Babu, D., Santhoshkumar, A., Deepakkumar, R., & Ravikanth, D. (2022). Impact of exhaust gas recirculation and split injection strategy combustion behavior on premixed charge compression ignition engine fuelled with moringa oleifera methyl ester. Fuel, 319, 123702.

Assist. Prof. Dr. Vladimir A. Pakhotin | Physics and Astronomy | Best Researcher Award

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Assist. Prof. Dr. Vladimir A. Pakhotin | Physics and Astronomy | Best Researcher Award

Senior Research Scientist | Ioffe Institute | Russia

Assist. Prof. Dr. Vladimir A. Pakhotin has made significant contributions to the interdisciplinary field of Physics and Astronomy, advancing research in electron emission and the electro-physical properties of polymers. His extensive background in Physics and Astronomy from the Saint-Petersburg State Polytechnic University and the Ioffe Institute laid the foundation for his innovative studies in the emission of charged particles and electrical breakdown phenomena. Throughout his professional journey as a Senior Researcher at the Strength Physics Laboratory, he has exemplified excellence in experimental Physics and Astronomy, merging theoretical insight with practical investigation. His research interest in Physics and Astronomy focuses on understanding the structural behavior of materials under varying electromagnetic conditions, contributing valuable data to polymer physics and electronic material design. Recognized for his prolific scholarly output, with over 150 publications, he stands as a respected figure in Physics and Astronomy. His awards and honors highlight his dedication to advancing material science and Physics and Astronomy innovation. His research skills encompass advanced instrumentation, emission analysis, and material characterization techniques that enhance discoveries in Physics and Astronomy. In conclusion, Assist. Prof. Dr. Vladimir A. Pakhotin’s lifelong pursuit of knowledge continues to inspire new generations of scientists, reinforcing the global impact of Physics and Astronomy research. His Scopus profile of 125 Citations, 28 Documents, 7 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Pakhotin, V. A., Semenov, S. E., & Sudar, N. T. (2025). Increasing the lifetime of polymer dielectrics in an AC field by using phosphorescent dopants: Theoretical justifications and numerical simulation. Journal of Applied Physics.

2. Pakhotin, V. A., & Semenov, S. E. (2024). Redistribution of electric field strength in insulation using electrets. IEEE Transactions on Dielectrics and Electrical Insulation.

3. Semenov, S. E., Sudar, N. T., & Pakhotin, V. A. (2024, October 17). Pulse electrical strength of polymer dielectric films. 2024 International Conference on Electrical Engineering and Photonics (EExPolytech).

4. Pakhotin, V. A., & Semenov, S. E. (2024, September 28). Charge stabilization in corona electrets made of HDPE film due to the formation of deep electron traps during its orientational stretching. Journal of Applied Physics.

5. Tipikin, A. A., Pakhotin, V. A., & Potapov, D. S. (2024, July 3). Technique for automatic profiling of underlying surface electric parameters on the very low frequencies radio path. Proceedings of Telecommunication Universities.

Prof. Nikolai V. Gaponenko | Physics | Best Researcher Award

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Prof. Nikolai V. Gaponenko | Physics | Best Researcher Award

Professor | Belarusian State University of Informatics and Radioelectronics  | Belarus

Prof. Nikolai V. Gaponenko, a distinguished figure in physics, serves as Head of the Laboratory of Nanophotonics at the Belarusian State University of Informatics and Radioelectronics, where his extensive contributions to solid-state physics and nanophotonics have gained international recognition. His education in physics laid a robust foundation for pioneering research in optically anisotropic materials and sol-gel synthesis within the physics of photonic band gap structures. Throughout his professional experience, Prof. Gaponenko has led numerous interdisciplinary physics collaborations with global institutes, advancing luminescence technologies and nanostructure fabrication. His physics research encompasses photonic crystals, perovskite nanocomposites, and upconversion luminescence phenomena, with over a hundred high-impact publications and patents that redefine the role of physics in material design. Honored with several research distinctions, he has strengthened Belarus’s scientific presence through innovative physics-based solutions for electronic and photonic applications. His exceptional physics skills include experimental synthesis, spectroscopic analysis, and photonic modeling that bridge theory and engineering in nanophotonics. As an educator and physicist, he integrates practical and theoretical physics with creativity and leadership, inspiring scientific excellence. Prof. Nikolai V. Gaponenko’s career embodies the transformative potential of physics in shaping sustainable technological progress through deep insight, research integrity, and global collaboration.

Profiles: Google Scholar | ORCID

Featured Publications

1. Bogomolov, V. N., Gaponenko, S. V., Germanenko, I. N., Kapitonov, A. M., et al. (1997). Photonic band gap phenomenon and optical properties of artificial opals. Physical Review E, 55(6), 7619.

2. Dorofeev, A. M., Gaponenko, N. V., Bondarenko, V. P., Bachilo, E. E., Kazuchits, N. M., et al. (1995). Erbium luminescence in porous silicon doped from spin‐on films. Journal of Applied Physics, 77(6), 2679–2683.

3. Gaponenko, N. V., Davidson, J. A., Hamilton, B., Skeldon, P., Thompson, G. E., et al. (2000). Strongly enhanced Tb luminescence from titania xerogel solids mesoscopically confined in porous anodic alumina. Applied Physics Letters, 76(8), 1006–1008.

4. Lutich, A. A., Gaponenko, S. V., Gaponenko, N. V., Molchan, I. S., Sokol, V. A., et al. (2004). Anisotropic light scattering in nanoporous materials: A photon density of states effect. Nano Letters, 4(9), 1755–1758.

5. Gaponenko, N. V. (2001). Sol–gel derived films in meso-porous matrices: porous silicon, anodic aluminum and artificial opals. Synthetic Metals, 124(1), 125–130.

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

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Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Associate Professor | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi is an accomplished scholar in Applied Mathematics whose expertise lies prominently in the study and advancement of Differentiation Equation systems. Her academic journey, including a Doctor of Philosophy from Universiti Putra Malaysia and earlier degrees from King Saud University, shaped her deep engagement with Differentiation Equation models and fractional calculus. With professional experience as a Lecturer, Vice Dean, and currently an Associate Professor at Imam Mohammad Ibn Saud Islamic University, she has significantly contributed to teaching, research, and academic administration. Her research explores fractional Differentiation Equation formulations, Lévy stochastic processes, and applications in financial and physical systems. Her Q1-ranked publications in journals like Mathematics and Chaos, Solitons & Fractals highlight her command of complex Differentiation Equation frameworks. Recognized through her participation in international conferences and leadership programs, she exhibits strong analytical and computational skills, particularly in MATLAB and mathematical modeling. Her dedication to the Differentiation Equation field continues to influence emerging studies in nonlinear systems, fractional models, and applied mathematics. Overall, Assist. Prof. Dr. Reem Abdullah Sadan Aljethi’s scholarly path exemplifies excellence, innovation, and leadership in the global study of Differentiation Equation research and its expanding interdisciplinary applications.

Profiles: Google Scholar | ORCID

Featured Publications

1. Aljethi, R. A., & Kılıçman, A. (2022). Financial applications on fractional Lévy stochastic processes. Fractal and Fractional, 6(5), 278.

2. Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

3. Aljethi, R. A., & Kılıçman, A. (2023). Derivation of the fractional Fokker–Planck equation for stable Lévy with financial applications. Mathematics, 11(5), 1102.

4. Aljedhi, R. A., & Kılıçman, A. (2020). Fractional partial differential equations associated with Lévy stable process. Mathematics, 8(4), 508.

5. Ejaz Hussain, U. Y., Aljethi, R. A., & Farooq, K. (2025). Optical multi-peakon dynamics in the fractional cubic–quintic nonlinear pulse propagation model using a novel integral approach. Fractal and Fractional, 9(10), 631.

Prof. Wenlong Song | Engineering | Best Scholar Award

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Prof. Wenlong Song | Engineering | Best Scholar Award

Associate Professor | Jining University | China

Prof. Wenlong Song, a distinguished figure in the field of Engineering, has made significant contributions to Mechanical Design, Manufacturing, and Automation. He earned his doctoral degree from Shandong University and serves as an Associate Professor and Graduate Supervisor at the School of Mechanical and Electrical Engineering, Jining University. His Engineering expertise focuses on efficient machining processes and advanced tool technology, where he has played a key role in leading multiple Engineering research initiatives. Prof. Song has successfully hosted several provincial, ministerial, and industrial Engineering projects, which have substantially advanced technological applications in precision machining and automation systems. His Engineering research has resulted in more than fifty academic publications and over forty authorized invention patents, reflecting his strong innovation capabilities and leadership in Engineering development. Recognized for his excellence, he has received multiple municipal and higher-level awards for his Engineering achievements. Prof. Song’s Engineering research skills encompass precision design, material optimization, process modeling, and manufacturing automation. His continued dedication to Engineering education and research demonstrates his commitment to nurturing the next generation of Engineering scholars while expanding the boundaries of modern mechanical systems. Through his extensive Engineering background and innovative approach, Prof. Wenlong Song stands out as a leading expert whose work continues to impact the Engineering community globally. 346 Citations, 33 Documents, 11 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. (2025). Analytical and experimental investigation of vibration response for the cracked fluid-filled thin cylindrical shell under transport condition. Applied Mathematical Modelling.

2. (2025). Friction behavior of molybdenum disulfide/polytetrafluoroethylene-coated cemented carbide fabricated with a spray technique in dry friction conditions. Coatings.

3. (2024). Fabrication and tribology properties of PTFE-coated cemented carbide under dry friction conditions. Lubricants.

Yuyao Wang | Artificial Intelligence | Best Scholar Award

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Mr. Yuyao Wang | Artificial Intelligence | Best Scholar Award

Master's Candidate | Henan Polytechnic University | China

Mr. Yuyao Wang, a Master’s candidate in Cartography and Geographic Information Systems at Henan Polytechnic University, has made significant contributions to remote sensing and artificial intelligence integration for agricultural and environmental monitoring. His research primarily focuses on remote sensing image processing, land use classification, and artificial intelligence-driven multi-source data fusion. With strong expertise in applying artificial intelligence to satellite data interpretation, Mr. Wang has developed novel frameworks for rice field identification in mountainous regions and cloud removal techniques using SAR and optical imagery fusion. His innovative use of artificial intelligence in remote sensing enhances precision agriculture and sustainable land management practices. Mr. Wang’s professional journey reflects his commitment to applying artificial intelligence and geospatial analytics to complex real-world challenges. His works published in prestigious journals like Remote Sensing and PLOS ONE demonstrate robust analytical skills, methodological innovation, and interdisciplinary thinking powered by artificial intelligence. He continues to explore advanced artificial intelligence techniques for improving data accuracy and environmental insights, bridging gaps between technology and agricultural sciences. Mr. Wang’s achievements highlight excellence in artificial intelligence research, demonstrating potential for transformative advancements in geoinformatics and environmental sustainability. His dedication, scientific curiosity, and mastery of artificial intelligence tools reinforce his reputation as a promising researcher in remote sensing and GIS. 12 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Wang, Y., Cheng, J., Yuan, Z., & Zang, W. (2025). Research on rice field identification methods in mountainous regions. Remote Sensing, 17(19), 3356.

2. Wang, Y. (2025, March 19). A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images.

Assist. Prof. Dr. Milad Abdelnabi Salem | Social Sciences | Best Researcher Award

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Assist. Prof. Dr. Milad Abdelnabi Salem | Social Sciences | Best Researcher Award

Assistant Professor | Community College of Qatar | Qatar

Assist. Prof. Dr. Milad Abdelnabi Salem is a distinguished academic in the field of management and logistics, whose contributions to Social Sciences reflect a profound commitment to research excellence and educational development. His academic journey encompasses a Ph.D. in Operations Management, a Master’s in Management and Organisation, and a Bachelor’s in Business Management, which collectively underpin his extensive engagement with Social Sciences. Currently serving as an Assistant Professor at the Community College of Qatar, he has previously held academic and managerial positions across Malaysia and Libya, demonstrating his expertise in teaching and curriculum development within Social Sciences. His research interests span Supply Chain Management, Total Quality Management, Environmental Sciences, Human Resource Management, and Operations Management, each deeply interlinked with Social Sciences. Recognized with numerous awards, including the Outstanding Lecturer Award and a Fellowship from the Australian Academy of Business Leadership, his academic influence extends internationally. Assist. Prof. Dr. Milad’s research skills include advanced data analysis using SPSS and SEM, e-learning applications, and quantitative methodologies — essential competencies in the Social Sciences. His publications in peer-reviewed and Scopus-indexed journals highlight his commitment to integrating sustainability, competitiveness, and ethical leadership within organizational frameworks. In conclusion, Assist. Prof. Dr. Milad Abdelnabi Salem exemplifies excellence in Social Sciences through his scholarly achievements, research leadership, and dedication to developing innovative approaches that enhance global understanding and practical applications of management within the broader context of Social Sciences.

Profile: Google Scholar

Featured Publications

1. Basha, M. B., Mason, C., Shamsudin, M. F., Hussain, H. I., & Salem, M. A. (2015). Consumers attitude towards organic food. Procedia Economics and Finance, 31, 444–452.

2. Salem, M. A., Hasnan, N., & Osman, N. H. (2012). Balanced scorecard: Weaknesses, strengths, and its ability as performance management system versus other performance management systems. Journal of Environment and Earth Science, 2(2), 1–10.

3. Salem, M. A., Shawtari, F., Shamsudin, M. F., & Hussain, H. B. I. (2018). The consequences of integrating stakeholder engagement in sustainable development (environmental perspectives). Sustainable Development, 26(3), 255–268.

4. Salem, M. A., Shawtari, F. A., Shamsudin, M. F., & Hussain, H. I. (2016). The relation between stakeholders’ integration and environmental competitiveness. Social Responsibility Journal, 12(4), 755–769.

5. Shawtari, F. A., Salem, M. A., & Bakhit, I. (2018). Decomposition of efficiency using DEA window analysis: A comparative evidence from Islamic and conventional banks. Benchmarking: An International Journal, 25(6), 1681–1705.