Udo Hartwig | Immunology | Best Academic Researcher Award

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Assoc. Prof. Dr. Udo Hartwig | Immunology | Best Academic Researcher Award

Mainz University Medical Center | Germany

Assoc. Prof. Dr. Udo Hartwig is a distinguished physician-scientist specializing in molecular medicine, hematology, immunotherapy, and cellular therapeutics. Currently serving as Head of Production of Cellular Therapeutics and Qualified Person at the GMP Facility, III. Dept. of Medicine, University Medical Centre Mainz, he has made significant contributions to translational research bridging laboratory innovations with clinical applications. His career spans leadership as COO of Preclinical Research and directing a long-standing research group focused on immunotherapy and hematology. Dr. Hartwig’s pioneering efforts in CAR-T cell engineering, T-cell immunotherapy, and molecular oncology have led to high-impact publications and advancements in leukemia and cancer research. Dedicated to mentoring, he has guided numerous MD, PhD, and MSc students. His research is internationally recognized, reflecting excellence in both fundamental discovery and clinical translation.

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Education 

Assoc. Prof. Dr. Udo Hartwig’s academic journey reflects excellence in biomedical sciences and molecular medicine. He studied Biomedicine at Philipps-University Marburg and the Charing Cross Sunley Research Centre, University College London. Following his MSc in Biomedicine with distinction, he pursued doctoral training at Laboratoire de Génétique Moléculaire des Eucaryotes, Strasbourg, and the University Medical Center Mainz, earning his PhD (Dr. rer. physiol.) from Philipps-University Marburg. To broaden his expertise, he trained as a Postdoctoral Fellow at The Scripps Research Institute in La Jolla, California, within leading immunology laboratories. Later, he advanced his academic credentials with a habilitation (Venia legendi) in Molecular Medicine at Johannes Gutenberg-University Mainz. Supported by prestigious fellowships from the German Research Council, European Community, Friedrich-Ebert-Stiftung, and DAAD, his educational path laid the foundation for his impactful career in translational medicine.

Professional Experience

Assoc. Prof. Dr. Udo Hartwig has built an extensive academic and clinical career in translational medicine. He serves as Head of Production of Cellular Therapeutics and Qualified Person at the GMP Facility, III. Dept. of Medicine, Mainz, where he oversees advanced cell therapy manufacturing. As COO of Preclinical Research, he coordinates translational projects integrating molecular oncology, immunotherapy, and clinical applications. He has led his own research group at Mainz University Medical Centre for decades, focusing on hematology, immunotherapy, and cancer biology. His earlier training includes postdoctoral research at The Scripps Research Institute, La Jolla, USA, and academic work in Mainz and Strasbourg. Over his career, he has supervised numerous MDs, PhDs, and MSc students, establishing himself as a mentor and thought leader in hematopoietic stem cell transplantation, cellular immunotherapy, and translational oncology.

Awards 

Assoc. Prof. Dr. Udo Hartwig’s academic and research trajectory has been recognized through multiple prestigious fellowships and awards that supported his scientific growth. Early in his career, he was awarded a Research Fellowship from the German Academic Exchange Service (DAAD), enabling international training. This was followed by a European Community Research Fellowship, a Friedrich-Ebert-Stiftung Research Fellowship, and a Post-Graduate Research Grant from the German Research Council (DFG). Collectively, these awards reflect the high esteem in which his research was held, particularly in immunology and molecular medicine. His achievements have also been recognized through active memberships in leading scientific organizations, including the German Society for Immunology, European Hematology Association, Association for Cancer Immunotherapy (CIMT), and the European Society of Gene and Cell Therapy. These honors underline his standing as a respected expert in hematology and immunotherapy.

Research Interests 

Assoc. Prof. Dr. Udo Hartwig’s research interests lie at the intersection of molecular medicine, immunology, and oncology, with a strong emphasis on translational applications. His work focuses on developing innovative cellular immunotherapies, particularly CAR-T cell and TCR-engineered T cell therapies for leukemia and solid tumors. He has contributed to advancing NK cell biology, memory-like NK cell induction, and strategies targeting immune evasion in cancer. Another focus is hematopoietic stem cell transplantation, where he has explored mechanisms of graft-versus-leukemia effects and antigen recognition. His recent projects involve genome-editing approaches, including CRISPR/Cas9-modified cellular therapeutics, and the identification of synergistic drug combinations for acute myeloid leukemia. He is also interested in tumor genetics, nanomedicine-based immunotherapies, and T cell receptor mimic CARs. Overall, his research bridges fundamental immunology with innovative treatments, aiming to improve clinical outcomes in cancer patients.

Publication Top Notes

Title: CRISPR/Cas9 TCR-Edited NKp30 CAR T Cells Exhibit Superior Anti-Tumor Immunity to B7H6-Expressing Leukemia and Melanoma
year: 2025

Title: Targeting mutated KRAS by HLA-A*02:01 restricted anti-KRAS TCRmimic CAR and bispecific T cell engager
year: 2025

Title: Transcriptional response to standard AML drugs identifies synergistic combinations
year: 2023

Title: A PCR protocol to establish standards for routine mycoplasma testing that by design detects over ninety percent of all known mycoplasma species
year: 2023

Title: Definitive evidence for Club cells as progenitors for mutant Kras/Trp53-deficient lung cancer
year: 2021

Title: Tumor-priming converts NK cells to memory-like NK cells
year: 2017

Title: HLA-DPB1 mismatch alleles represent powerful leukemia rejection antigens in CD4 T-cell immunotherapy after allogeneic stem-cell transplantation
year: 2017

Title: Patient-individualized CD8⁺ cytolytic T-cell therapy effectively combats minimal residual leukemia in immunodeficient mice
year: 2016

Title: Exclusive Transduction of Human CD4+ T Cells upon Systemic Delivery of CD4-Targeted Lentiviral Vectors
year: 2015

Conclusion 

Assoc. Prof. Dr. Udo Hartwig is an accomplished leader in hematology, molecular medicine, and cellular immunotherapy, recognized internationally for his contributions to cancer research. His educational foundation, spanning top European institutions and international postdoctoral training, combined with his leadership in Mainz, has positioned him at the forefront of translational medicine. Through groundbreaking studies in CAR-T therapy, NK cell biology, tumor genetics, and stem cell transplantation, he has significantly advanced both the scientific understanding and therapeutic potential of immunotherapies. His mentorship of young researchers reflects his commitment to building the next generation of medical scientists. With extensive publications, international collaborations, and membership in global professional societies, Assoc. Prof. Dr. Udo Hartwig exemplifies excellence in research, innovation, and education. His career demonstrates a lifelong dedication to bridging basic science and clinical impact in oncology.

Jaime González Maiz Jiménez | Articifial Intelligence and Finance | Best Researcher Award

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Dr. Jaime González Maiz Jiménez | Articifial Intelligence and Finance | Best Researcher Award

University of the Americas Puebla Foundation | Mexico

Dr. Jaime González Maiz Jiménez is a finance scholar and full-time professor at Universidad de las Américas Puebla, specializing in corporate finance, financial markets, and international finance. He earned his Doctorate in Management Science with a Finance track from EGADE Business School, ITESM-Monterrey University, with a dissertation on the impact of cross-listing on Latin American stock markets. Over his academic career, he has developed expertise in market microstructure, stock price behavior, forecasting techniques, and risk measurement. His contributions extend to top-tier journals, including Emerging Markets Finance & Trade and Investment Analysts Journal. Recognized as a Level I member of Mexico’s National System of Researchers, Dr. González Maiz combines rigorous scholarship with teaching excellence, bridging theory and practice to train the next generation of finance professionals.

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Education

Dr. Jaime González Maiz Jiménez holds a Doctorate in Management Science with a Finance specialization from EGADE Business School at ITESM-Monterrey University, one of Latin America’s premier institutions for management education. His doctoral dissertation, titled “The Implicit Impact of Cross-Listing on Stock Prices: A Market Microstructure Perspective – The Case of Latin American Markets,” reflects his focus on international finance and stock market dynamics. His academic background integrates major training in Finance and a minor in Financial Markets, positioning him strongly in applied financial research. Beyond his doctorate, his scholarly path emphasizes financial modeling, risk analysis, and cross-market studies. This strong educational foundation has enabled him to advance impactful research on forecasting, financial asymmetry, and machine learning applications in stock market analysis.

Professional Experience 

With extensive academic experience, Dr. González Maiz Jiménez has taught across multiple institutions, including his current role as a full-time professor in Finance and Accounting at Universidad de las Américas Puebla. He has designed and delivered courses such as Investment Project Evaluation, Corporate Finance, International Finance, and Financial Management in both English and Spanish. His teaching portfolio demonstrates versatility across undergraduate and graduate programs, nurturing critical thinking in financial analysis and global markets. Beyond teaching, he has published research on forecasting models, market asymmetry, and systematic risk, applying both econometric and machine learning methods. He also contributes as a reviewer for academic journals, ensuring high-quality scholarship. His balanced career reflects dedication to research, pedagogy, and service in advancing finance education.

Awards

Dr. Jaime González Maiz Jiménez has achieved notable recognition in research and academia. He is a distinguished member of Mexico’s National System of Researchers at Level I, an acknowledgment of his sustained scholarly contributions to finance and economics. He has also secured competitive external research funding, including a grant from The Puentes Consortium for his project “Measuring the Impact of Dual Listing on the Mexican Stock Market.” His research excellence has led to publications in respected journals like Emerging Markets Finance & Trade and Investment Analysts Journal, widely read in the field of financial economics. Additionally, his role as a peer reviewer for Revista de Contaduría y Administración highlights his professional service and expertise. These honors underscore his leadership in finance research and academic collaboration.

Research Interests 

Dr. González Maiz Jiménez’s research interests center on financial markets, international finance, and quantitative methods for market analysis. His work emphasizes market microstructure, stock market forecasting, risk measurement, and the behavior of financial assets before and during crises such as COVID-19. He has applied econometric and machine learning techniques to study stock price predictability, portfolio construction, and systematic risk in both U.S. and Latin American contexts. His research includes exploring asymmetries around quarterly corporate reports, testing overreaction hypotheses, and evaluating betas for Mexican stocks. By integrating traditional finance theories with emerging computational approaches, his studies provide valuable insights into volatility, investor behavior, and global market integration. His interdisciplinary outlook bridges finance, data science, and risk management, advancing knowledge for both academia and practice.

Publication Top Notes

Title: Directional forecasting for eight forex pairs against the US dollar using machine learning techniques
Year: 2025

Title: Machine learning portfolios for US stock prices: Directional forecasting before and during the COVID-19 pandemic
Year: 2023

Title: Forecasting Performance of Different Betas: Mexican Stocks before and during the COVID-19 Pandemic
Year: 2022

Title: Measuring the Systematic Risk of Sectors within the US Market Via Principal Components Analysis: Before and during the COVID-19 Pandemic
Year: 2022

Title: Measuring the asymmetry level around quarterly reports in the Dow Jones, Nasdaq, and Standard & Poor’s: Before and during the COVID-19 pandemic
Year: 2021

Title: Testing the overreaction hypothesis in the Mexican stock market
Year: 2019

Title: The implicit impact of cross-listing on stock prices: a market microstructure perspective – The case of Latin American markets
Year: 2016

Conclusion

In summary, Dr. Jaime González Maiz Jiménez is a dedicated academic, researcher, and mentor whose career reflects a strong balance of teaching, scholarly inquiry, and professional engagement. His doctorate in Management Science (Finance track) from ITESM-Monterrey University laid the foundation for a career devoted to understanding the complexities of financial markets. Over the years, he has contributed impactful research on forecasting, risk measurement, and financial market asymmetries, gaining recognition as a Level I member of Mexico’s National System of Researchers. With experience across diverse finance courses, he has influenced countless students at Universidad de las Américas Puebla and beyond. His scholarly achievements, funded projects, and service as a peer reviewer demonstrate his ongoing commitment to advancing financial knowledge in both academic and applied settings.

Norma Aurea Vazquez | Computational Modelling | Best Researcher Award

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Dr. Norma Aurea Vazquez | Computational Modelling | Best Researcher Award

Technological Institute of Aguascalientes | Mexico

Dr. Norma Aurea Vazquez is a distinguished Mexican professor and researcher specializing in polymer science, molecular modeling, and advanced materials. She is a full-time faculty member at the Technological Institute of Aguascalientes, where she has significantly contributed to postgraduate education, research leadership, and program accreditation. With over two decades of experience, Dr. Vazquez has worked extensively on polymer nanocomposites, drug delivery systems, and sustainable material design. Her academic journey includes postdoctoral research at the University of Minnesota (USA) and the Technological Institute of Aguascalientes (Mexico), as well as a Ph.D. in Polymer Science. Recognized by CONACYT as a Level 1 researcher, she has published in leading journals, authored book chapters, and collaborated internationally. Her career reflects excellence in research, teaching, and applied innovation for biomedical and environmental challenges.

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Education 

Dr. Norma Aurea Vazquez holds a Ph.D. in Polymer Science from the Technological Institute of Madero City, where she graduated with an exceptional average. She earned her Bachelor’s degree in Chemical Engineering from the same institution, achieving an outstanding academic record. To expand her expertise, she completed postdoctoral training in Polymer Science at the Technological Institute of Aguascalientes, followed by advanced research at the School of Chemistry, University of Minnesota, USA. Her academic formation was complemented by specialized training in spectroscopy, rheology, bioinformatics, molecular simulation, and polymer characterization. These experiences provided her with strong theoretical and practical foundations for interdisciplinary research in polymer chemistry, nanocomposites, and sustainable materials. Her international education reflects her commitment to global scientific collaboration and innovation.

Professional Experience 

Dr. Norma Aurea Vazquez has been a full-time Professor-Researcher at the Technological Institute of Aguascalientes since 2008, contributing to research, teaching, and postgraduate program coordination. She served as coordinator of the Master’s in Chemical Engineering, managed CONACYT scholarships, and led program accreditation under PNPC-CONACYT standards.  she was also a part-time professor at CIATEQ, teaching postgraduate courses in advanced manufacturing. Her leadership roles include Head of the Metal-Mechanical Department, President of the Industrial Advisory Board, and leader of ABET accreditation processes in Mechanical Engineering. She has developed academic programs, evaluation frameworks, and guided students through advanced research projects. With expertise spanning molecular simulation, advanced coatings, and sustainable materials, Dr. Vazquez has built a career dedicated to innovation, academic quality, and applied research collaborations.

Awards

Dr. Norma Aurea Vazquez has received multiple awards and recognitions for her outstanding contributions to polymer science, education, and research leadership. She has been recognized as a Level 1 member of Mexico’s National System of Researchers (SNI-CONACYT), reflecting her sustained scientific impact. She earned first place in the National Thesis Competition in Polymers for her innovative project on controlled-release drug delivery systems, and earlier received third place in the National Graduate Thesis Contest for her research on polyurethane-hydroxyapatite composites for biomedical applications. She has also been honored as Best Professor at CIATEQ and served as leader of the Advanced Materials research line at her institution. Additionally, she has been awarded the desirable academic profile distinction across multiple evaluation periods. These honors highlight her excellence in science, teaching, and mentoring.

Research Interests 

Dr. Norma Aurea Vazquez’s research interests lie at the intersection of polymer science, molecular modeling, and sustainable materials. She applies computational methods such as DFT, Monte Carlo, and molecular dynamics to study adsorption, thermodynamics, and structural behavior of polymers, hydrogels, and nanocomposites. A major focus of her work is the design of controlled drug delivery systems using chitosan, polyurethane, and hydrogel-based materials. She has also investigated adsorption of heavy metals, dyes, and pharmaceuticals for water purification, advancing sustainable environmental technologies. Her studies on renewable biopolymer composites, nanostructured materials, and hybrid polymers contribute to applications in energy, healthcare, and advanced manufacturing. By combining theoretical simulations with experimental validation, Dr. Vazquez continues to bridge chemistry, engineering, and applied sciences, driving innovation in materials design and biomedical applications.

Publication Top Notes

Title: PM3 semi-empirical method and Monte Carlo simulation application on pesticides adsorption on SWCNT
Year:2023
Citations: 11

Title: Adsorption process of pesticide on SWCNT functionalized and crosslinked with chitosan using PM3 semi-empirical method and Monte Carlo simulation
Year: 2025

Title: Analysis of the adsorption of Hg²⁺, Ni²⁺ and Cu²⁺ on chitosan hydrogels
Year: 2024

Title: Modeling of artificial neural networks for the adsorption of synthetic dyes in an aqueous solution using double layer hydroxides
Year: 2023

Conclusion 

Dr. Norma Aurea Vazquez is an accomplished academic, researcher, and leader in polymer science and advanced materials. Her career exemplifies dedication to both fundamental and applied research, spanning biomedical engineering, environmental sustainability, and nanocomposites. Through her teaching, she has shaped the next generation of engineers and scientists, while her leadership in accreditation processes has strengthened academic programs at national and international levels. Recognized with awards and national research distinctions, she has built a strong record of publications, collaborations, and contributions to global scientific advancement. Dr. Vazquez continues to integrate computational chemistry with experimental approaches to address modern challenges in medicine, materials design, and environmental protection. She remains a role model and inspiration for future researchers in Mexico and beyond.

Huquan Kang | Knowledge Quantification | Best Researcher Award

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Mr. Huquan Kang | Knowledge Quantification | Best Researcher Award

Shanghai Jiao Tong Univeristy | China

Huquan Kang is a fourth-year Ph.D. candidate at Shanghai Jiao Tong University, specializing in knowledge measurement and the science of science. His research focuses on quantifying scientific knowledge, understanding its structure and dynamics, and exploring how knowledge flows between disciplines. Kang completed a one-year visiting scholar program at the Carlson School of Management, University of Minnesota, where he collaborated on interdisciplinary projects integrating scientometrics and computational modeling. With seven SCI/Scopus-indexed journal publications and a growing citation record, his work has been recognized across computer science and scientometric research communities. He also serves as a reviewer for top journals, including TNSE, Sigmetrics, TNET, and Mobihoc. Kang’s contributions aim to refine metrics for innovation evaluation, offering deeper insights into scientific progress and the evolution of research fields.

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Education 

Huquan Kang is pursuing his Ph.D. in Computer Science at Shanghai Jiao Tong University, where his dissertation research centers on computational models for measuring and analyzing scientific knowledge. He is in his fourth year of doctoral studies, having built a strong academic foundation in network science, scientometrics, and data-driven knowledge analysis. As part of his academic development, Kang spent one year as a visiting scholar at the Carlson School of Management, University of Minnesota, gaining exposure to interdisciplinary methodologies and international collaboration. His education emphasizes both theoretical understanding and applied research in areas such as citation networks, knowledge structuring, and innovation metrics. This blend of local and global academic experiences has equipped him with advanced skills in quantitative research and scholarly communication.

Professional Experience

Huquan Kang’s professional research journey began during his Ph.D. program at Shanghai Jiao Tong University, where he contributed to five significant research projects—three completed and two ongoing—focused on knowledge quantification and network-based science studies. His international exposure includes a visiting scholar tenure at the University of Minnesota’s Carlson School of Management, working on interdisciplinary research that bridged computer science, scientometrics, and management science. He has authored and co-authored seven SCI/Scopus-indexed publications in respected journals and serves as a reviewer for prominent academic outlets such as TNSE, Sigmetrics, TNET, and Mobihoc. In collaboration with leading scientists, Kang has advanced methods for analyzing knowledge structures and measuring scientific growth, contributing both theoretical models and applied insights to the global research community.

Awards

While Huquan Kang’s research career is still emerging, his contributions have already garnered recognition in academic circles. His publications in reputed SCI/Scopus-indexed journals have been cited 38 times, reflecting the growing influence of his work in scientometrics and computational knowledge analysis. His role as a peer reviewer for leading journals—including IEEE Transactions on Network Science and Engineering, ACM Sigmetrics, IEEE Transactions on Network and Service Management, and Mobihoc—demonstrates the trust placed in his expertise by the scholarly community. His selection as a visiting scholar at the University of Minnesota’s Carlson School of Management stands as a notable academic achievement, providing him with an opportunity to collaborate with globally recognized researchers. Although formal awards are yet to be recorded, Kang’s steady academic trajectory, impactful publications, and expanding research network position him for future honors and distinctions in the fields of knowledge measurement and science of science.

Research Interests

Huquan Kang’s research interests lie at the intersection of scientometrics, network science, and computational modeling. He focuses on developing quantitative frameworks to measure the structure, dynamics, and evolution of scientific knowledge. His work often explores how research fields grow, how innovations spread, and how knowledge moves between disciplines. Using citation network analysis, structural modeling, and interdisciplinary data integration, Kang aims to refine metrics for evaluating scholarly impact and innovation. He is particularly interested in understanding the balance between scientific productivity and the actual expansion of knowledge, as well as challenging the notion of exponential knowledge growth. By combining theoretical insights with empirical data, his research contributes to improving science policy, research evaluation systems, and our understanding of how knowledge ecosystems function globally.

Publication Top Notes

1.Quantifying knowledge from the perspective of information structurization
Year: 2023
Citations: 11

2. Efficient block propagation in wireless blockchain networks and its application in Bitcoin
Year: 2021
Citations: 9

3. On social network de-anonymization with communities: A maximum a posteriori perspective
Year: 2021
Citations: 7

4. Acemap: Knowledge discovery through academic graph
Year: 2024
Citations: 5

5. Measuring social network de-anonymizability by means of morphism property
Year: 2022
Citations: 3

6. A century of knowledge growth in sedimentology
Year: 2025
Citations: 1

7. Revisiting Network Value: Sublinear Knowledge Law
Year: 2023
Citations: 1

8. Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
Year: 2021
Citations: 1

Conclusion 

Huquan Kang represents a new generation of researchers who combine computational precision with a deep interest in the sociology and evolution of science. His doctoral work at Shanghai Jiao Tong University, complemented by international collaboration at the University of Minnesota, has positioned him at the forefront of scientometric research. With a growing portfolio of high-quality publications, an expanding citation record, and active involvement in peer review for prestigious journals, Kang continues to make strides in advancing methods for measuring and understanding knowledge systems. His interdisciplinary perspective allows him to bridge the gap between computer science and the science of science, offering innovative approaches to evaluating scholarly impact. As his research matures, Kang is poised to make significant contributions to global discussions on innovation and scientific growth.

Dragan Randelovic | Machine Learning on Databases | Best Use of AI/ML in Databases

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Prof. Dr. Dragan Randelovic | Machine Learning on Databases | Best Use of AI/ML in Databases

University Union Nikola Tesla | Faculty for diplomacy and security | Serbia

Prof. Dr. Dragan Ranđelović is a distinguished academic and researcher in Information Technology, with a career spanning higher education, industry, and applied research. Currently a full professor at the University Union – Nikola Tesla, Faculty of Diplomacy and Security, he has significantly contributed to the integration of IT in interdisciplinary domains, including diplomacy, security, agriculture, and law enforcement. His career began in the electronics industry, where he advanced from development engineer to director, before transitioning to academia. Prof. Ranđelović has authored over 15 university textbooks, mentored more than 50 postgraduate candidates, and supervised doctoral research. With more than 300 scholarly references, substantial citations, and editorial roles in several international journals, his academic influence is widely recognized. He has participated in and led numerous national and institutional research projects, contributing innovative solutions in analytical decision-making, systems modeling, and applied computing for societal, economic, and biological systems.

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Education 

Prof. Ranđelović’s educational journey reflects excellence in science and engineering. He earned his degree from the Faculty of Electronics in Niš, graduating ahead of schedule and as the top of his class. Continuing his academic pursuits, he completed a master’s degree in the same faculty, specializing in advanced electronic systems and computing. He later achieved his doctoral degree at the Faculty of Science and Mathematics, University of Pristina, focusing on the application of information technologies in complex systems. His multidisciplinary academic background combines electronics, mathematics, and computer science, laying the foundation for his extensive work in higher education and research. The strong analytical skills developed through this rigorous training enabled him to bridge theoretical concepts with practical applications across multiple sectors, including agriculture, criminalistics, and diplomacy. His education has been a cornerstone for his role in fostering innovation, mentoring future scholars, and leading research initiatives in applied information technology.

Experience

Prof. Ranđelović’s professional path spans education, industry, and research leadership. He began as a high school teacher before joining the Institute of Electronic Industry in Niš, progressing from development engineer to head of a major R&D laboratory, and later serving as director in multiple technology enterprises. Parallel to his industrial career, he contributed to academic research at the Mathematics Institute of the Serbian Academy of Sciences. Transitioning fully to academia, he held teaching and leadership roles at universities in Pristina, Belgrade, Novi Sad, and Bor, specializing in informatics, computer science, mathematics, and software engineering. He served as head of the Department of Informatics at the Criminal Police Academy and later as head of the Department of Software Engineering and IT at the Faculty of Diplomacy and Security. His teaching spans undergraduate to doctoral levels, complemented by his work on projects for the Ministry of Science and Ministry of Internal Affairs.

Awards and Recognitions 

Prof. Ranđelović’s contributions have been recognized through numerous professional distinctions and appointments. He has served on the editorial boards of prominent international journals in information technology, telecommunications, and applied mathematics, as well as in national academic publications. His role as guest editor for a special issue of the Symmetry journal underscores his standing in the scholarly community. He has co-edited international books, authored national monographs, and served as a reviewer for over 150 scientific works. His leadership in research projects funded by the Ministry of Science and the Ministry of Internal Affairs reflects both trust and recognition from government and institutional bodies. His extensive publication record in indexed journals, coupled with high citation metrics and an h-index in double digits, further attest to his influence. While his career achievements are rooted in technical expertise, they also reflect his capacity for cross-disciplinary collaboration and his commitment to advancing applied science.

Research Interests 

Prof. Ranđelović’s research focuses on the development and application of advanced information technologies in analytical decision-making, systems modeling, and interdisciplinary problem-solving. His work integrates computational methods with practical challenges in biological, economic, and sociological systems. He has a strong interest in software engineering, computer networks, and artificial intelligence, particularly in the context of security and law enforcement. His projects have explored the design of IT solutions for the Ministry of Internal Affairs, contributing to operational efficiency and technological modernization. He also researches optimization techniques, simulation models, and decision-support systems, often bridging theoretical algorithms with real-world applications. In agricultural and environmental contexts, his studies have involved experimental design, observation analysis, and data-driven system improvements. His approach combines rigorous mathematical modeling with applied computing, ensuring that his work remains both scientifically robust and practically relevant across diverse domains such as diplomacy, security, and engineering.

Publication Top Notes

Title: The impact of the July 2007 heat wave on daily mortality in Belgrade, Serbia
Year: 2013
Citations: 46

Title: Handbook of research on democratic strategies and citizen-centered E-government services
Year: 2014
Citations: 24

Title: A framework for delivering e-government support
Year: 2014
Citations: 20

Title: Weight coefficients determination based on parameters in factor analysis
Year: 2013
Citations: 19

Title: Triple modular redundancy optimization for threshold determination in intrusion detection systems
Year: 2021
Citations: 14

Title: Determining VLSI array size for one class of nested loop algorithms
Year: 1998
Citations: 13

Title: Challenging ergonomics risks with smart wearable extension sensors
Year: 2022
Citations: 12

Title: Prediction of important factors for bleeding in liver cirrhosis disease using ensemble data mining approach
Year: 2020
Citations: 12

Title: Use of determination of the importance of criteria in business-friendly certification of cities as sustainable local economic development planning tool
Year: 2020
Citations: 12

Title: SOSerbia: Android‐Based Software Platform for Sending Emergency Messages
Year: 2018
Citations: 12

Title: A multicriteria decision aid-based model for measuring the efficiency of business-friendly cities
Year: 2020
Citations: 11

Title: An advanced quick-answering system intended for the e-Government service in the republic of Serbia
Year: 2019
Citations: 11

Title: The design of the personal enemy-MIMLebot as an intelligent agent in a game-based learning environment
Year: 2017
Citations: 11

Title: Intelligent agents and game-based learning modules in a learning management system
Year: 2016
Citations: 11

Title: Study program selection by aggregated DEA-AHP measure
Year: 2013
Citations: 11

Conclusion 

Prof. Dr. Dragan Ranđelović stands as a leading figure in applied information technology, uniting industry experience, academic excellence, and impactful research. His interdisciplinary expertise, prolific publications, and dedication to mentoring have shaped generations of professionals while advancing the role of technology in solving complex societal challenges.