Prof. Eugene Levner | Artificial Intelligence | Best Researcher Award
Professor at Holon Institute of Technology, Israel
Prof. Eugene Levner is a renowned expert in computational mathematics, operations research, and artificial intelligence, with a career spanning over five decades. He earned his Ph.D. from the Central Economic-Mathematical Institute of the USSR Academy of Sciences, focusing on graph models and scheduling problems. He has held prominent academic positions in Russia and Israel, including Holon Institute of Technology, Bar Ilan University, and The Hebrew University of Jerusalem. Prof. Levner has authored numerous influential publications in top-tier journals and received multiple Best Paper and Excellence in Teaching awards. His research spans scheduling theory, robotics, fuzzy logic, and digital medicine, with over 1,500 citations highlighting his global impact. He has been a guest lecturer at institutions across Europe, North America, and Asia and has served on editorial boards of leading journals. His work continues to influence the fields of algorithm design, risk management, and smart manufacturing systems.
Professional Profile
Academic Background
Prof. Eugene Levner holds an exceptional academic background in computational mathematics and systems science. He earned his B.S. and M.S. degrees in Computational Mathematics from Moscow State Lomonosov University between 1963 and 1968, where he developed a strong foundation in algorithmic thinking and mathematical modeling. He went on to complete his Ph.D. in Computer and Systems Science at the Central Economic-Mathematical Institute of the USSR Academy of Sciences from 1969 to 1973. His doctoral research focused on the design of graph models and methods for solving scheduling problems, laying the groundwork for a lifelong career in optimization and operations research. Prof. Levner was mentored by distinguished scholars, including Prof. Boris T. Polyak and Prof. David B. Yudin, both influential figures in applied mathematics. His education equipped him with advanced skills in mathematical programming, which he later applied across multiple disciplines such as artificial intelligence, robotics, and digital medicine.
Professional Background
Prof. Eugene Levner has had a distinguished professional career marked by academic leadership and groundbreaking research in computer science, operations research, and artificial intelligence. Beginning as a researcher at the Institute of Automation and Remote Control in Moscow, he went on to serve at the Central Economic-Mathematical Institute of the USSR Academy of Sciences for over two decades. He later held academic positions at Moscow State University and The Hebrew University of Jerusalem. From 1994 to 2010, he was a professor at the Holon Institute of Technology in Israel, where he also received multiple excellence awards. He further contributed as a lecturer at Bar Ilan University and served as a full-time professor at Ashkelon Academic College. Prof. Levner has been a visiting lecturer at leading institutions across Europe, Asia, and North America. Currently, he serves as Emeritus Professor at the Holon Institute of Technology, continuing to mentor students and contribute to international research.
Awards and Honors
Prof. Eugene Levner has received numerous prestigious awards and honors in recognition of his outstanding contributions to research, teaching, and academic leadership. Early in his career, he was awarded the Silver Diploma by the USSR Institute of Control Problems in 1972 and received the Best Paper Award from the Moscow Government in 1981. His international recognition includes listings in Marquis’ Who’s Who in Science and Engineering and 2000 Outstanding Scientists of the 20th Century. He has earned multiple Best Paper Awards at international conferences in Russia, Mexico, and Israel, including INCOM-IFAC and MICAI. In addition to research excellence, he was honored with Excellence in Teaching and Research Awards at the Holon Institute of Technology between 2009 and 2021. He also received a special award from Shanghai Jiao Tong University in 2010 for his exceptional instruction in operations research. These accolades reflect his lasting global impact in applied mathematics and computer science.
Research Focus
Prof. Eugene Levner’s research spans several core areas in computational mathematics and applied computer science, with a primary focus on algorithm design, scheduling theory, and operations research. He has made significant contributions to the development of graph-based models and approximation algorithms for complex scheduling and optimization problems, particularly in manufacturing systems and robotics. His work integrates artificial intelligence techniques with digital medicine, risk management, and decision-making under uncertainty. Prof. Levner has also advanced research in fuzzy logic and its applications in intelligent systems and supply chain resilience. His recent studies explore adaptive scheduling, energy-efficient computing, and the ripple effects of environmental risks using entropy-based models. He has published extensively in high-impact journals, contributing to both theoretical foundations and real-world applications. Through multidisciplinary research and international collaborations, Prof. Levner continues to influence areas such as smart manufacturing, autonomous systems, and computational logistics, maintaining relevance in both academic and industrial research communities.
Publication Top Notes
Integer Programming and Flows in Networks
Year: 1974 | Cited by: 472
Fast Approximation Algorithm for Job Sequencing with Deadlines
Year: 1981 | Cited by: 121
Computational Complexity of Approximation Algorithms for Combinatorial Problems
Year: 1979 | Cited by: 124
An Improved Algorithm for Cyclic Flowshop Scheduling in a Robotic Cell
Year: 1997 | Cited by: 139
Cyclic Scheduling in Robotic Flowshops
Year: 2000 | Cited by: 280
Multiple-Part Cyclic Hoist Scheduling Using a Sieve Method
Year: 2002 | Cited by: 111
Adaptive Scheduling Server for Power-Aware Real-Time Tasks
Year: 2004 | Cited by: 130
Perishable Inventory Management with Dynamic Pricing Using Time–Temperature Indicators Linked to Automatic Detecting Devices
Year: 2014 | Cited by: 145
Complexity of Cyclic Scheduling Problems: A State-of-the-Art Survey
Year: 2010 | Cited by: 231
Entropy-Based Model for the Ripple Effect: Managing Environmental Risks in Supply Chains
Year: 2018 | Cited by: 110
Conclusion
Prof. Eugene Levner is a distinguished scholar with a lifelong dedication to advancing computational mathematics, operations research, and artificial intelligence. With a Ph.D. from the Central Economic-Mathematical Institute of the USSR Academy of Sciences and mentorship under world-renowned experts, his foundational work in graph models, scheduling, and optimization has had lasting global impact. He has published extensively in high-impact journals, with several highly cited papers influencing both theoretical and applied research. Prof. Levner has held senior academic positions in leading institutions across Russia and Israel and delivered invited lectures worldwide. His pioneering research in scheduling theory, robotics, fuzzy logic, and digital medicine, combined with multiple international awards and recognition for both teaching and research excellence, solidifies his reputation as a leader in his field. Through mentoring, interdisciplinary innovation, and global collaboration, Prof. Levner’s work continues to shape contemporary science and technology, making him an exceptional and highly deserving recipient of the “Best Researcher Award.”
Rafael Natalio Fontana Crespo is a dedicated researcher and Ph.D. student in Computer and Control Engineering at Politecnico di Torino. With a strong academic foundation in Mechatronic Engineering, he graduated with honors in 2022, focusing his thesis on developing a distributed software platform for additive manufacturing. His experience includes an internship at EPEC, Argentina, where he analyzed thermal images of electrical components. Rafael’s research interests lie in machine learning, 

Internship (2020 – 2021) – EPEC, Argentina – Analysis of Thermal Images of Electrical Components
Rafael Fontana’s professional journey has been marked by continuous learning and a commitment to expanding his expertise. His Ph.D. studies at the Politecnico di Torino have focused on advanced topics like machine learning, 

Rafael’s research focuses on cutting-edge fields within computer engineering and control systems. His work primarily delves into machine learning, 

Final grade of 110/110 cum laude for Master’s Degree in Mechatronic Engineering
30 cum laude in several key courses including Software Architecture for Automation, Model-Based Software Design, and Robotics
Internship Completion at EPEC, focusing on thermal imaging and failure prevention

