Kamal Sleem | Mathematical Engineering | Best Researcher Award

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Dr. Kamal Sleem | Mathematical Engineering | Best Researcher Award

PhD at Polytechnic University of Marche, Italy

Dr. Kamal Sleem 🎓 is a promising Ph.D. researcher in Industrial Engineering with a focus on Mechanical Engineering at Università Politecnica delle Marche, Italy 🇮🇹. With dual Master’s degrees in Fundamental Physics and Condensed Matter Physics from the Lebanese University 🇱🇧, his expertise spans across physical metallurgy, additive manufacturing, and magnetic characterization of metallic materials 🧲🔩. His research contributions include advanced work on ferrous alloys, biomedical materials, and spinel nanoparticles, backed by specialized techniques like nanoindentation, Mössbauer spectroscopy, and XRD analysis 🔬🧪. Dr. Sleem has published impactful studies in reputable journals such as Crystals and JMMP 📚. His innovative modeling and surface engineering research shows strong potential for industrial applications and scientific advancement ⚙️📈. With international experience and technical depth, he stands out as a rising figure in advanced materials research 🌍🏅.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Dr. Kamal Sleem holds a robust academic foundation in physics and engineering 🧠📘. He earned his first Master’s degree (M1) in Fundamental Physics (2020) and another in Physics of Condensed Matter (2021) from the Lebanese University, First Branch-Hadath 🇱🇧. Currently, he is pursuing a Ph.D. in Industrial Engineering (Mechanical Engineering curriculum) at the Università Politecnica delle Marche, Ancona, Italy 🇮🇹. His transition from theoretical physics to applied engineering demonstrates an interdisciplinary strength essential for advanced materials research 🔄📊. Dr. Sleem’s education bridges the gap between scientific principles and real-world applications—positioning him to make meaningful contributions across both academic and industrial domains 🌍🎯.

💼 Professional Experience

Dr. Sleem is immersed in rigorous research as a Ph.D. student at DIISM, Università Politecnica delle Marche 🏛️🔬. His professional focus includes physical metallurgy, mechanical characterization, and magnetic studies of cutting-edge metallic materials 🧲🛠️. Collaborating in high-level research groups, he has contributed to international journal publications and hands-on projects involving additive manufacturing, lattice modeling, and biomedical alloys 🧪🦾. Through Siemens NX, OpenCalphad simulations, and magnetic diagnostics, he bridges computational and experimental engineering. His current work on stainless steel and spinel nanoparticle systems has real-world relevance in both industrial and biomedical sectors 🏥⚙️. This practical and theoretical experience makes him a valuable emerging scholar in the field of mechanical engineering and materials science 🌟🌐.

🔍 Research Interest

Dr. Kamal Sleem’s research is rooted in the fusion of materials science and physics, focusing primarily on physical metallurgy, magnetic properties, and additive manufacturing of metallic materials 🧲🔧. His interests include ferrous alloys, stainless and tool steels, magnesium and titanium alloys for biomedical use, and spinel-structured iron oxide nanoparticles 🧬🛡️. He investigates structural and magnetic behaviors using techniques such as nanoindentation, Mössbauer spectroscopy, and VSM 🎯📊. His simulations and modeling using Siemens NX and OpenCalphad add a computational depth to his experimental insights 💻🧪. By analyzing surface and bulk properties, he aims to improve performance, sustainability, and design of next-generation materials for engineering and medical applications 🌿🦿.

🏅 Awards and Honors

While still early in his academic career, Dr. Kamal Sleem has already begun receiving recognition through his peer-reviewed journal publications in Crystals and JMMP 🌟📘. These publications are indicators of his credibility and growing impact in materials research, particularly in magnetic characterization and additive manufacturing of metals 🧲📈. His collaborative research with senior scholars highlights his ability to contribute meaningfully to complex, multidisciplinary studies 🤝🔬. As his work continues to influence emerging techniques in metallurgy and mechanical engineering, he is well-positioned to earn further accolades and research honors in international academic circles 🏆🌍. His trajectory indicates great promise for future institutional and professional recognitions 🎓📣.

🛠️ Research Skills

Dr. Sleem brings a broad array of advanced research skills to the field of materials engineering 🔧🧪. He is proficient in nanoindentation, microhardness testing, digital and optical microscopy, and XRD-based stress analysis 🔬📐. His expertise extends to complex simulation tools like Siemens NX for modeling lattice structures and OpenCalphad for thermodynamic simulations 💻📊. He has mastered magnetic characterization using Mössbauer spectroscopy and vibrating-sample magnetometers (VSM), allowing him to assess both local and global magnetic properties effectively 🧲🧠. His hands-on experience with additive manufacturing techniques and defect analysis adds industrial relevance to his academic precision ⚙️🔍. This robust skill set positions him as a valuable asset in both research labs and applied engineering environments.

Publications Top Note 📝

Title: A Novel Approach to Quantitatively Account on Deposition Efficiency by Direct Energy Deposition: Case of Hardfacing-Coated AISI 304 SS
Authors: Gabriele Grima, Kamal Sleem, Alberto Santoni, Gianni Virgili, Vincenzo Foti, Marcello Cabibbo, Eleonora Santecchia
Year: 2025
Journal: Crystals
DOI: 10.3390/cryst15070626
Source: MDPI (Crossref)

Title: A Nanoindentation Approach to Investigating Dislocation Density in Additive-Manufactured SS316L-Graded Lattice Structures
Authors: Kamal Sleem, Gabriele Grima, Marcello Cabibbo
Year: 2025
Journal: Journal of Manufacturing and Materials Processing
DOI: 10.3390/jmmp9020059
Source: MDPI (Crossref)

Title: Microstructure and Defect Analysis of 17-4PH Stainless Steel Fabricated by the Bound Metal Deposition Additive Manufacturing Technology
Authors: Valerio Di Pompeo, Eleonora Santecchia, Alberto Santoni, Kamal Sleem, Marcello Cabibbo, Stefano Spigarelli
Year: 2023
Journal: Crystals
DOI: 10.3390/cryst13091312
Source: MDPI (Crossref)

Conclusion

Dr. Kamal Sleem stands out as a highly capable and driven early-career researcher in materials science and mechanical engineering 🌍🏅. With a dual physics background and a focused Ph.D. trajectory in metallurgy and additive manufacturing, he combines analytical rigor with applied innovation 💡🛠️. His research on biomedical alloys, magnetic materials, and advanced modeling techniques aligns well with global engineering challenges in health, industry, and sustainability ♻️🏭. Though still building his professional accolades, his current output, multidisciplinary skills, and international engagement signal exceptional potential for leadership in science and technology 🔬🚀. Dr. Sleem is undoubtedly a strong contender for recognition such as the Best Researcher Award in his field. 🥇📘

Olaf Dössel | Mathematical Engineering | Best Researcher Award

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Prof. Dr. Olaf Dössel | Mathematical Engineering | Best Researcher Award

Professor at Karlsruhe Institute of Technology KIT, Germany

Prof. Dr. Olaf Dössel 🎓, an esteemed biomedical engineering expert, served as Director of the Institute of Biomedical Engineering at Karlsruhe Institute of Technology (KIT) 🇩🇪 for over 25 years. With a PhD in Physics and over 700 publications 📚, his pioneering research spans ECG imaging 🫀, bioelectric field modeling, and AI-powered biosignal analysis 🤖. A Fellow of IAMBE, IUPESM, and EAMBES 🌐, he has shaped global scientific policy through leadership in EU, German, and international advisory boards. As Editor-in-Chief of Biomedical Engineering (2010–2022) and President of global conferences 🌍, he has advanced the field significantly. His work bridges research, education, and innovation, mentoring generations of engineers 👨‍🏫. A recipient of the Ragnar Granit Prize 🏅 and KIT’s Verdienstnadel, he remains a guiding force in biomedical science and technology.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Dr. Olaf Dössel began his academic journey in Physics at Universität Kiel, earning his Diploma in 1979 and PhD in 1982 🎓. His foundational education combined analytical rigor with scientific curiosity, setting the stage for his lifelong commitment to biomedical innovation 🧠. His PhD, supported by the Studienstiftung des deutschen Volkes, laid the groundwork for pioneering work in bioelectricity, signal processing, and cardiac imaging. The early exposure to quantitative and experimental physics 📐⚛️ helped develop a deep understanding of electromagnetics and biological systems, forming the basis of his interdisciplinary expertise. This robust educational path enabled him to integrate physics, engineering, and medicine into a visionary academic and research career that would shape the future of biomedical engineering worldwide 🌍.

🧪 Professional Experience

Prof. Dössel’s professional career spans both industrial research and academia. From 1982 to 1996, he held senior roles at Philips Research Laboratories Hamburg ⚙️, leading the “Measuring Techniques” group and contributing to applied medical technologies. In 1996, he became Full Professor and Director of the Institute of Biomedical Engineering at KIT 🏛️, where he served until retirement in 2022. As Dean and academic advisor, he influenced thousands of students and researchers 👨‍🏫. He led several national and EU-funded evaluations, contributed to medical technology strategy development, and presided over major conferences including the World Congress on Biomedical Engineering. His balanced blend of research, leadership, and mentorship reflects a career dedicated to advancing healthcare through engineering 🔬❤️.

🔬 Research Interests

Prof. Dössel’s research spans electrocardiology, cardiac modeling, medical imaging, and AI-based signal analysis 💓🖥️. He has advanced the understanding of atrial arrhythmias, ECG-imaging, and the inverse problem of electrocardiography. His work in computer-assisted heart modeling and impedance tomography has been internationally recognized, offering new insights into heart rhythms and diagnostic imaging. Using advanced algorithms and simulations, his research bridges clinical cardiology and engineering innovation ⚡📊. A pioneer in applying artificial intelligence to bioelectric signals, he enhances non-invasive diagnostics and patient-specific treatments. Prof. Dössel continues to shape the future of digital medicine, contributing to more accurate, personalized, and safer diagnostic tools worldwide 🌍🧬.

🏆 Awards and Honors

Prof. Dössel’s excellence has been widely recognized through prestigious awards 🥇. He received the Ragnar Granit Prize in 2003 for outstanding achievements in biomedical signal analysis and KIT’s Verdienstnadel in 2024 for exceptional service. His academic stature is underscored by multiple Fellowships, including with IAMBE, IUPESM, EAMBES, and DGBMT 🌐. He’s also a member of elite academies such as acatech, the Berlin-Brandenburg Academy of Sciences, and the North Rhine-Westphalian Academy 🏛️. His leadership in global scientific evaluation panels, advisory boards, and journal editorships—including Biomedical Engineering—further validates his impact on the international research landscape. These honors reflect a career defined by innovation, vision, and global collaboration 🌟.

🧠 Research Skills

Prof. Dössel exhibits mastery across computational modeling, biosignal processing, cardiac simulation, and medical imaging 📊💡. He possesses advanced skills in numerical methods, ECG data interpretation, inverse problem-solving, and AI applications in medicine. His expertise extends to interdisciplinary integration, bringing physics, engineering, and life sciences together to solve complex health problems 🔄🔍. As an editor and evaluator, he demonstrates critical analysis, peer review excellence, and strategic foresight in emerging biomedical trends. Equally important is his mentorship and ability to translate research into teaching, conference leadership, and policy impact. Prof. Dössel’s technical breadth, from theory to clinical translation, makes him a gold standard in biomedical engineering education and innovation 🧬🛠️.

Publications Top Note 📝

  • Title: Estimating Cardiac Active Tension from Wall Motion—An Inverse Problem of Cardiac Biomechanics
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 6
    Source: Conference Proceedings (Open Access)

  • Title: Development of a Human Body Model for Numerical Calculation of Electrical Fields
    Authors: FB Sachse, CD Werner, K Meyer-Waarden, O Dössel
    Year: 2000
    Citations: 61
    Source: Computerized Medical Imaging and Graphics, Volume 24, Issue 3, Pages 165–171
    DOI / Link: ScienceDirect – CMIG Journal

  • Title: CVAR‑Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 7
    Source: Frontiers in Physiology

  • Title: A Bi-atrial Statistical Shape Model for Large-scale In Silico Studies of Human Atria: Model Development and Application to ECG Simulations
    Authors: C Nagel, S Schuler, O Dössel, A Loewe
    Year: 2021
    Citations: 57
    Source: Medical Image Analysis, Volume 74, Article 102210
    DOI / Link: Medical Image Analysis – Elsevier

  • Title: A Reproducible Protocol to Assess Arrhythmia Vulnerability In Silico
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 24
    Source: Frontiers in Physiology

  • Title: Machine Learning Enables Noninvasive Prediction of Atrial Fibrillation Driver Location and Acute Pulmonary Vein Ablation Success Using the 12-lead ECG
    Authors: G Luongo, L Azzolin, S Schuler, MW Rivolta, TP Almeida, JP Martínez, … O Dössel
    Year: 2021
    Citations: 47
    Source: Cardiovascular Digital Health Journal, Volume 2, Issue 2, Pages 126–136
    DOI / Link: Cardiovascular Digital Health Journal

  • Title: Cycle Length Statistics During Human Atrial Fibrillation
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 10
    Source: Europace

  • Title: Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable
    Authors: A Loewe, M Wilhelms, J Schmid, MJ Krause, F Fischer, D Thomas, … O Dössel
    Year: 2016
    Citations: 31
    Source: Frontiers in Bioengineering and Biotechnology, Volume 3, Article 209
    DOI / Link: Frontiers – Bioengineering and Biotechnology

  • Title: Non‑Invasive Characterization of Atrial Flutter Using Recurrence Quantification on ECG
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 18
    Source: IEEE Transactions on Biomedical Engineering

  • Title: Selective Brain Hypothermia for MCA-M1 Stroke: A 3D Brain Temperature Model
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 8
    Source: IEEE Transactions on Biomedical Engineering

  • Title: Regional Lung Perfusion in ARDS by Impedance and CT
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 50
    Source: IEEE Transactions on Medical Imaging

  • Title: ECGdeli: An Open Source ECG Delineation Toolbox for MATLAB
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 52
    Source: SoftwareX

  • Title: Quantification of Potassium and Calcium Disorders via ECG
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 13
    Source: Review Article (Journal)

  • Title: Electrogram Characteristics of Extra‑Pulmonary Vein AF Sources
    Authors: Olaf Dössel et al.
    Year: 2020
    Citations: 35
    Source: Scientific Reports

📌 Conclusion

Prof. Dr. Olaf Dössel is a luminary in biomedical engineering, whose work has transformed cardiovascular diagnostics, research methodologies, and interdisciplinary science 🌟. With a career spanning 40+ years, over 700 publications 📚, and leadership roles in global conferences, advisory panels, and academic societies, he has shaped generations of engineers and physicians. His holistic approach—combining education, innovation, and evaluation—continues to influence medical technology worldwide 🌍❤️. Post-retirement, he remains an active mentor, evaluator, and thought leader, championing responsible research and forward-thinking solutions. Prof. Dössel’s legacy is not just academic excellence but also the creation of a robust, ethical, and innovative biomedical engineering ecosystem 🚀🔬.

Aleksandar Senić | Mathematical Engineering | Best Researcher Award | 2039

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Mr. Aleksandar Senić | Mathematical Engineering | Best Researcher Award

Assistant Lecturer at Faculty of Civil Engineering, Belgrade, Serbia

Aleksandar Senić is a researcher and expert in risk management for infrastructure projects, specializing in the application of fuzzy logic and machine learning to predict delays and cost overruns. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, he actively contributes to research on risk assessment and decision-making optimization. He has authored eight journal papers in indexed databases and a book on infrastructure project management. With over 30 industry projects, he plays a key role in translating research into practical solutions. As Director of the Construction Management Sector at Koridori Srbije, he oversees infrastructure projects worth €5 billion, ensuring efficient execution and risk mitigation. His work on hybrid risk assessment models and clustering risk factors has improved project planning and preventive strategies. Through collaborations with leading researchers, his contributions have gained international recognition, influencing best practices in construction risk management and decision-making in large-scale projects.

Professional Profile

Scopus Profile
ORCID Profile 

Education

Aleksandar Senić holds a strong academic background in civil engineering and risk management. He earned his Bachelor’s and Master’s degrees from the Faculty of Civil Engineering, University of Belgrade, specializing in construction management and infrastructure project risk assessment. His postgraduate research focused on applying fuzzy logic and machine learning techniques to predict delays and cost overruns in large-scale infrastructure projects. He pursued a Ph.D. in Civil Engineering, further advancing his expertise in hybrid risk assessment models integrating artificial intelligence and expert systems for optimizing decision-making in construction. Throughout his academic journey, he actively collaborated with leading researchers, contributing to cutting-edge methodologies in risk quantification and mitigation. His educational foundation, combined with extensive industry exposure, enables him to bridge the gap between theoretical research and practical application, making significant advancements in infrastructure project management. His academic credentials and research output have positioned him as a key contributor to the field of risk management in civil engineering.

Professional Experience

Aleksandar Senić is an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and a leading expert in risk management for infrastructure projects. With extensive experience in applying fuzzy logic and machine learning, he specializes in predicting delays and cost overruns in large-scale road construction. As the Director of the Construction Management Sector at Koridori Srbije, he oversees the execution of €5 billion infrastructure projects, ensuring efficient delivery and risk mitigation. His expertise extends to industry consultancy, having contributed to over 30 projects focused on risk assessment and preventive strategies. He has authored a book on infrastructure project management and published 8 journal papers in indexed databases. His research, widely cited internationally, integrates hybrid risk assessment models to optimize decision-making. A member of the Serbian Chamber of Engineers, he actively collaborates with leading researchers, advancing best practices in construction risk management and preventive methodologies.

Research Interest

Aleksandar Senić’s research interests focus on advancing risk management methodologies in infrastructure projects through the integration of machine learning, fuzzy logic, and expert-driven models. His work aims to enhance predictive analytics for cost overruns and time extensions in road construction, enabling more efficient project planning and execution. He specializes in hybrid risk assessment models, combining statistical techniques with artificial intelligence to improve decision-making in large-scale infrastructure development. Additionally, his research explores preventive measures in project management, optimizing risk quantification frameworks to minimize uncertainties and enhance project resilience. His contributions also extend to construction project complexity analysis, where he clusters risk factors to prioritize interventions, reducing budget deviations and schedule delays. Through collaborations with leading researchers and industry professionals, he strives to develop innovative strategies for risk mitigation, ensuring sustainable and cost-effective infrastructure development while bridging the gap between academic research and practical engineering applications.

Award and Honor

Aleksandar Senić is a distinguished researcher and industry expert in risk management for infrastructure projects, recognized for his significant contributions to the field of construction engineering. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and Director of the Construction Management Sector at Koridori Srbije, he has played a pivotal role in advancing methodologies for risk assessment, predictive modeling, and decision-making optimization. His research integrates machine learning, fuzzy logic, and expert surveys to enhance risk evaluation, leading to improved efficiency in large-scale infrastructure projects. With numerous publications in high-impact journals, his work has gained international recognition, influencing best practices in risk mitigation. His leadership in managing projects worth €5 billion underscores his practical expertise. Through active collaboration with leading researchers and contributions to industry projects, he continues to shape the future of infrastructure risk management, making him a deserving candidate for prestigious academic and professional honors.

Conclusion

Aleksandar Senić is a distinguished researcher in risk management for infrastructure projects, combining academic expertise with extensive industry experience. His contributions to integrating machine learning and fuzzy logic into risk assessment models have significantly advanced methodologies for predicting delays and cost overruns in large-scale construction projects. As a lecturer at the University of Belgrade and Director at Koridori Srbije, he bridges the gap between research and real-world applications, overseeing infrastructure projects worth €5 billion. With eight journal publications, a book, and collaborations with esteemed researchers, his work has gained international recognition. While his citation index and h-index indicate a growing impact, further engagement in high-impact research, patents, and editorial roles could enhance his profile. His expertise, leadership, and commitment to innovation in construction risk management make him a strong candidate for the Best Researcher Award, reflecting both his scholarly excellence and his contributions to improving infrastructure project outcomes.

Publications Top Noted

  • Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2025
  • A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence
    • Authors: T. Ivanišević, M. Vujanić, A. Senić, A. Trifunović, S. Čičević
    • Year: 2024
  • Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Development of Risk Quantification Models in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective
    • Authors: Aleksandar Senić
    • Year: 2024
  • Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
    • Authors: N. Simić, N. Ivanišević, Ð. Nedeljković, A. Senić, Z. Stojadinović, M. Ivanović
    • Year: 2023
  • Assessment of Concrete Compressive Strength Using Different Maturity Functions: Case Study
    • Authors: Dragan Bojović, Nevena Bašić, Ksenija Janković, Aleksandar Senić
    • Year: 2018
  • Determination of the In Situ Coefficient of Friction and Imperfection of Prestressing Cables
    • Authors: Dragan Bojović, Bojan Aranđelović, Ksenija Janković, Aleksandar Senić, Marko Stojanović
    • Year: 2017
  • Značaj Arhitektonskog Koncepta za Rentabilnost Projekata
    • Authors: Aleksandar Senić
    • Year: 2014