جستجوی استاد راهنمای دانشگاهی

Ioannis Konstantarasمشاهده پروفایل

دانشیار

• Operations Research
• Inventory Control
• Reverse Logistics
• +۴ مورد دیگر

Ioannis Konstantaras is an Associate Professor at the Department of Business Administration, University of Macedonia, Thessaloniki, Greece, holding this position since July 2016. He contributes to the Master in International Business, Master in Business Administration, and Master in Business Analytics and Data Science programs. His academic qualifications include: B.Sc. in Mathematics from Aristotelian University of Thessaloniki (1999) M.Sc. in Statistics & Operations Research from University of Ioannina (2001) Ph.D. in Operations Research from University of Ioannina (2006) Konstantaras specializes in mathematical modeling and optimization of inventory systems for supply and reverse logistics chains. His research addresses production planning, deteriorating items, imperfect quality products, and recovery processes through operations research methodologies. He develops analytical models for optimizing decision-making in complex logistics environments. His publication record (2010-2014) shows concentrated research on inventory models for deteriorating items, lot-sizing in recovery systems, and pricing strategies for reverse logistics. Key contributions include extensions to Economic Order Quantity models, optimization of two-warehouse systems, and integration of inspection learning effects in quality control. He serves as Co-Editor for the International Journal of Systems Science: Operations & Logistics since January 2014 and has reviewed for numerous international journals. Konstantaras led the research program "Logistics Management: Quantitative Methods for Inventory Management" funded by the ARCHIMEDES program under EPAYAEK II. No publicly available information lists his doctoral advisees.

Angelo Sifalerasمشاهده پروفایل

استاد

• Mathematical Programming
• Network Optimization
• Heuristic Methods
• +۲ مورد دیگر

Angelo Sifaleras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia (Thessaloniki, Greece). He also serves as an Adjunct Professor of Quantitative Methods at the Hellenic Open University. His academic credentials include a Ph.D. in Applied Informatics (University of Macedonia, 2007) and a B.Sc. in Mathematics (Aristotle University of Thessaloniki, 1999). Research Focus: Professor Sifaleras specializes in Mathematical Programming , Network Optimization , and Heuristic Methods . His work integrates computational optimization with real-world logistics, supply chains, and sustainable systems. Key research themes include metaheuristic algorithms for vehicle routing, pollution-aware logistics, and parallel computing solutions for network analysis. Publication Trends: His 15 most recent articles emphasize hybrid metaheuristics (e.g., combining reinforcement learning with Variable Neighborhood Search), sustainable supply chain modeling, and high-performance computing applications. Dominant domains include operations research, environmental optimization, and educational algorithm visualization. Teaching & Service: He instructs courses in Combinatorial Optimization, Linear Algebra, and Heuristic Methods, employing tools like CPLEX, Gurobi, and SageMath. As an editor for Operations Research Forum and the Yugoslav Journal of Operations Research , he supports academic discourse in optimization. A Senior ACM member, he contributes to conferences like ICVNS and ITS.

Georgios Drakakisمشاهده پروفایل

استاد

• Cheminformatics
• Bioinformatics
• Drug Discovery and Repurposing
• +۴ مورد دیگر

Dr. Georgios Drakakis serves as Professor of Information Technology at the American College of Greece (Deree) since 2018, concurrently holding the position of Chief Executive Officer at Purposeful, an in silico drug repurposing company. He is a Research Area Leader within the Research, Technology & Innovation Network (RTIN) focusing on cheminformatics and bioinformatics. His educational background includes: PhD in Cheminformatics from University of Cambridge (2011-2015) MSc in Advanced Biological Sciences (Bioinformatics) from University of Liverpool (2009-2010) MSc in Computer Science from Trinity College Dublin (2008-2009) BSc in Computer Science from Aristotle University of Thessaloniki (2003-2007) Dr. Drakakis' research centers on applying machine learning and artificial intelligence to drug discovery, repurposing, and computational toxicology. His work bridges cheminformatics, bioinformatics, and data science to develop predictive models for compound mechanism of action, cytotoxicity, and polypharmacological effects. Recent efforts include computational approaches for identifying drug candidates against emerging pathogens like SARS-CoV-2. His publication record features 13 journal articles and 2 book chapters in high-impact venues including ACS Chemical Biology and Journal of Chemical Information and Modeling, with consistent focus on translational computational methods. Notable recognition includes: Engineering and Physical Sciences Research Council Doctoral Prize As an educator, he teaches Machine Vision and Semantic Web for the MSc in Data Science program, and Data Mining for the BSc in Information Technology program. His leadership in RTIN's Cheminformatics & Bioinformatics Research Area demonstrates commitment to advancing computational approaches in pharmaceutical sciences. His dual role as academic and CEO reflects strong industry-academia integration in his career trajectory.

Georgios Kokosalakisمشاهده پروفایل

استادیار

• Maritime Systems
• Environmental Protection
• Shipping
• +۶ مورد دیگر

Dr. Georgios Kokosalakis serves as Assistant Professor at the School of Business and Economics, American College of Greece (ACG), and Executive Director of the Center of Excellence in Logistics, Shipping and Transportation (CoELST). He maintains dual academic roles as Senior Research Associate at University of Patras' Civil Engineering Department and Educational Counselor at MIT, while also directing industry ventures through Proteus Marine Ltd. His academic credentials include: Science Doctorate in Civil and Environmental Engineering, MIT (2006) Master of Science in Civil and Environmental Engineering, MIT (2000) Diploma in Civil Engineering (Structural Division), National Technical University of Athens (1998) Dr. Kokosalakis' research centers on Maritime Systems and Environmental Protection, with emphasis on operational efficiency, energy conservation, and emissions control in shipping logistics. His interdisciplinary approach integrates large data analytics, systems modeling, and sensor technology to develop practical solutions for sustainable maritime operations while addressing environmental pollution challenges. Recent publications (2019-2021) reveal dual research trajectories: maritime-focused work on energy efficiency impacts on container ship valuation, regulatory responses in shipping, and pandemic effects on second-hand markets; and civil engineering contributions to water distribution network optimization through probabilistic modeling of minimum night flow and real losses. This cross-disciplinary pattern demonstrates his ability to transfer methodologies between maritime and infrastructure domains. His scientific recognition includes: Schoettler Fellowship Award from MIT (2002-2003) Technical Chamber of Greece Best Thesis Award (1998) Exceptional Student Performance Awards (1995-1997) Active grant funding supports his research through projects with Athens Water Supply Company (2021), Greece's Center for Renewable Energy Sources (2020), and Hellenic Foundation for Research Innovation (2019). His industry experience as a shipowner and Proteus Marine Ltd Director provides practical grounding for academic work, though specific student supervision details aren't documented in available materials. The Center of Excellence in Logistics, Shipping and Transportation (CoELST) functions as his primary research ecosystem, facilitating collaborations between ACG, University of Patras, MIT, and maritime industry partners to advance sustainable transportation solutions through integrated engineering and business perspectives.