جست‌وجوی استاد و پژوهشگر

• Sustainable Construction
• Structural Engineering
• Recycled Materials
• +۵ مورد دیگر

Adel Younis is a Senior Lecturer at Halmstad University's Department of Construction & Energy Engineering within the School of Business, Innovation and Sustainability. He holds a BSc and MSc in Civil Engineering from Kuwait University (2011, 2014), followed by a PhD in Civil Engineering from Qatar University (2020). Previously, he worked as a Postdoctoral Fellow at Linnaeus University's Department of Building Technology. His research focuses on sustainable construction materials, including seawater-based concrete, recycled aggregates, FRP reinforcements, and CLT buildings. He also explores structural rehabilitation techniques using advanced composites and life cycle assessment methodologies. Education : BSc Civil Engineering, Kuwait University (2011) MSc Civil Engineering, Kuwait University (2014) PhD Civil Engineering, Qatar University (2020) Research Interests : Dr. Younis' work centers on sustainable materials innovation, including seawater concrete formulations, recycled aggregate utilization, and corrosion-resistant reinforcement systems. He investigates the environmental and economic implications of construction materials through life cycle assessment and cost-effectiveness analysis. His studies also address structural rehabilitation via fabric-reinforced cementitious matrices and CLT building carbon footprints. Grants & Collaboration : His research integrates academic and industrial perspectives, supported by collaborations in material testing and sustainable infrastructure design. Teaching focuses align with his expertise in structural engineering and sustainable practices. Labs/Teams : Participates in multidisciplinary teams at Halmstad University addressing smart cities, sustainable construction technologies, and environmental engineering challenges.

• Urban Transportation Systems
• Autonomous Mobility-on-Demand
• Vehicle Repositioning
• +۴ مورد دیگر

Pengbo Zhu is a researcher at the École polytechnique fédérale de Lausanne (EPFL), specifically affiliated with the Laboratory of Urban Transport Systems (LUTS) within the School of Architecture, Civil and Environmental Engineering (ENAC). His work focuses on developing innovative control algorithms to address critical challenges in urban transportation systems, particularly in the domain of Autonomous Mobility-on-Demand (AMoD) and ride-hailing services. Dr. Zhu's research interests center around vehicle repositioning strategies, hierarchical control frameworks, and data-enabled predictive control methods for optimizing urban mobility. His work bridges transportation engineering with control systems theory, developing solutions that balance passenger demand with vehicle supply in dynamic urban environments. He has made significant contributions to coverage control algorithms that align vehicle distribution with demand patterns across city districts. Analysis of his publication trends shows a consistent focus on hierarchical control approaches for vehicle repositioning, with increasing sophistication from 2022 to 2025. His research has evolved from basic coverage control methods to integrated multi-layer frameworks that combine macroscopic traffic modeling with microscopic vehicle guidance, demonstrating both theoretical depth and practical applicability in real-world urban networks. Dr. Zhu's work has been supported by prestigious funding sources including the Swiss National Science Foundation and the European Union's Horizon 2020 program. His research demonstrates strong potential for practical implementation, with simulations conducted on real urban networks (particularly Shenzhen, China) showing significant improvements in key performance metrics like passenger waiting times and service rates. As an active researcher at EPFL, Dr. Zhu collaborates extensively with Professor Nikolaos Geroliminis and other researchers in the urban transportation field. His work contributes to the development of more efficient, sustainable urban transportation systems that benefit customers, service providers, and the environment through optimized fleet operations in mobility-on-demand services.

Roger Zimmermannمشاهده پروفایل

استاد

• Multimedia and Distributed Systems
• Multimedia and Mobile Networking
• Spatio-temporal Data Management
• +۸ مورد دیگر

Roger Zimmermann is a Full Professor at the School of Computing, National University of Singapore (NUS), where he is also a Co-PI at the Grab-NUS AI Lab and leads the Location AI project. He previously served as Deputy Director of the NUS Smart Systems Institute (SSI) and Co-Director of the Centre of Social Media Innovations for Communities (COSMIC), both funded by Singapore’s National Research Foundation (NRF). Before joining NUS, he was a Research Area Director and Research Assistant Professor at the University of Southern California (USC). Ph.D. in Computer Science, University of Southern California (1998) M.S. in Computer Science, University of Southern California (1994) His research focuses on multimedia systems , spatio-temporal data management , streaming media architectures (especially DASH), machine learning applications , AR/VR , and location-based services . He leads the Media Management Research Lab (MMRL) at NUS, which conducts cutting-edge work in distributed multimedia and intelligent systems. His work combines theoretical depth with real-world applications in urban computing, smart mobility, and immersive media. The recent publications reflect a strong trend toward multimodal learning , spatio-temporal AI , adaptive streaming , and urban intelligence . His team explores zero-shot learning, 3D scene understanding, traffic forecasting, and open-vocabulary audio-visual segmentation, often leveraging foundational models and deep neural architectures. There is a clear emphasis on real-time, scalable systems for smart cities and immersive experiences. Dr. Zimmermann has received numerous accolades, including: DASH-IF Excellence in DASH Award (multiple years) Best Paper Awards at ACM SIGSPATIAL, IEEE ICME, and ACM MMSys Silver Award at ACM MMSys 2020 Grand Challenge IEEE Communications Society Best Editor Award (2017) ACM Distinguished Member (2017) Top 1% Publons Reviewer in Computer Science (2018) He has advised numerous students and led major research initiatives funded by MOE, NRF, A*STAR, NSF, and industry partners like Seagate, Intel, and HP. He has served as General Chair for IEEE MIPR 2023, ACM Multimedia 2020, and IEEE ISM 2015, and as TPC Co-Chair for several top-tier conferences. His editorial roles include Associate Editor for IEEE Transactions on Multimedia (TMM), ACM TOMM, and IEEE OJ-COMS. He leads the Media Management Research Lab (MMRL) , which focuses on intelligent multimedia systems, spatiotemporal data mining, and immersive media technologies. The lab develops scalable solutions for real-world challenges in urban computing, smart transportation, and interactive media.

Erol Gelenbeمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Energy Efficiency
• +۴ مورد دیگر

Erol Gelenbe is a Professor at the Department of Electrical and Electronic Engineering at Imperial College London. He is a Fellow of IEEE, ACM, and IET(UK), and holds honorary doctorates from Universities of Liège, Roma-Tor Vergata, and Bogaziçi. His research focuses on energy efficiency in ICT systems, network security, and bioinformatics modeling. He pioneered the Random Neural Network (G-Networks) and developed the FLEXSIM simulation framework for manufacturing systems. His work integrates theoretical models with practical applications in software-defined networks (CPN), energy packet networks, and cyber-physical systems. Awards & Recognition: Recipient of the In Memoriam Dennis Gabor Award (2013), IET Oliver Lodge Medal (2010), and France’s Officer of the Order of Merit. Elected to the French National Academy of Engineering, Science Academies of Hungary and Poland, and the Science Academy of Turkey. Research Contributions: Current projects include EU-funded NEMESYS (Mobile Network Security), ECROPS (Energy Harvesting in ICT), and PANACEA (Self-Organizing Clouds). His recent work addresses energy-QoS trade-offs in data centers, dynamic energy allocation, and bio-inspired network models for gene regulation and neuronal systems. Professional Activities: IEEE Distinguished Lecturer, conference organizer (General Chair IEEE NCCA 2012, Co-Chair IEEE HPCC 2013), and editor for journals including IEEE Transactions on Cloud Computing and Performance Evaluation. Supervised over 60 PhD students.

Syed Haiderمشاهده پروفایل

استاد

• Pavement Engineering
• Recycled Asphalt Mixtures
• Asphalt Binder Rheology
• +۷ مورد دیگر

Syed Haider is a Professor in the Department of Civil and Environmental Engineering at Michigan State University (MSU), affiliated with the College of Engineering. His research focuses on pavement engineering, including material characterization, preservation, performance modeling, and rehabilitation. He holds academic leadership roles and has contributed extensively to advancing sustainable and efficient transportation infrastructure solutions. Education: Ph.D., Civil Engineering, Michigan State University (2004) M.S., Geotechnical and Transportation Engineering, Asian Institute of Technology, Thailand (1993) B.S. (Hons), Civil Engineering, University of Engineering & Technology, Pakistan (1989) Research Interests: Dr. Haider’s work spans pavement material science, recycled asphalt mixtures, binder rheology, and statistical methods for infrastructure management. He emphasizes practical applications like pavement preservation treatments, performance-related specifications, and non-destructive evaluation techniques. His recent focus includes calibration of mechanistic-empirical pavement design models and improving Weigh-in-Motion sensor accuracy. Awards: ASCE Fellow (2023) Five-time winner of Federal Highway Administration’s Long-Term Pavement Performance Data Contest (2015–2022) Walter and Pauline Adams Academy Fellowship (2009–2010) Robert G. Packard Award (2008) Grants & Advising: His research is supported by grants from agencies like the Federal Highway Administration. He has advised multiple graduate students and contributed to advancing technologies in pavement rehabilitation and sustainability. No specific lab affiliations are mentioned, but collaborations with industry and institutions are evident through his publications.

Meead Saberi Kalaeeمشاهده پروفایل

دانشیار

• Traffic Flow Theory
• Transport Network Modelling
• Mixed Autonomy Networks
• +۳ مورد دیگر

Dr. Meead Saberi Kalaee is an Associate Professor at the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney. His academic journey includes a PhD in Transportation Systems Analysis and Planning from Northwestern University (2013), MSc in Transportation Engineering from Portland State University (2010), and BSc in Civil Engineering from Ferdowsi University of Mashhad (2007). He leads the CityX research lab under rCITI, focusing on urban mobility through data analytics, simulation, and network modeling. Current Research : Traffic flow theory, mixed autonomy networks, pedestrian dynamics, active transport modeling, and AI-assisted infrastructure mapping (via footpath.ai spinout) Selected Grants : ARC Linkage Grant LE240100118 (National Cycling Data Platform), ARC Discovery DP220102382 (AI footpath modeling), DP210102089 (Sustainable bicycling exposure), LP190100650 (Logistics optimization) Recent Publications (2023–2025) span advanced topics like pedestrian traffic assignment , mixed autonomy emissions , reinforcement learning for vaccine allocation , and AI-driven transport equity , with methodological innovations in simulation-based optimization and network fundamental diagrams. Industry Collaborations include Adiona, Mitsubishi Heavy Industries, Cisco, KPMG, and government bodies like Transport for NSW and VicRoads. Supervision : Current PhD projects on traffic signal optimization, pedestrian activity estimation, and AI mapping. Former students' work addresses autonomous driving, dynamic demand modeling, and urban safety.

Jordi Domingo-Pascualمشاهده پروفایل

استاد

• 5G Network Architecture
• Software-Defined Networking (SDN)
• Locator/Identifier Separation Protocol (LISP)
• +۱۰ مورد دیگر

Jordi Domingo-Pascual is a Full Professor at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), affiliated with the Department of Computer Architecture within the Faculty of Informatics of Barcelona (FIB). He is a member of the UPC CBA - Broadband Communications Systems and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. His research spans networking, telecommunications, and ethical aspects of technology design. Research Interests: His primary areas of expertise include 5G network architectures, software-defined networking (SDN), Locator/Identifier Separation Protocol (LISP), traffic engineering, quality of service (QoS), network monitoring, and ethics in engineering education. He investigates both technical and societal dimensions of emerging network technologies. Publication Trends: His recent scholarly output (2020–2022) emphasizes SDN controller placement optimization, open-source traffic engineering tools, and the integration of ethical considerations in engineering curricula—particularly in the context of AI and pandemic-era digital tracing applications. Earlier works focus on ATM multicasting, QoS, and broadband network characterization. Scientific Awards: Premi o reconeixement Advising and Grants: While specific advisees are not listed, his extensive research activity—including participation in European projects—suggests involvement in supervising students and securing competitive R&D funding. His work on traffic engineering, SDN, and LISP indicates leadership in national and international collaborative grants. Labs and Research Groups: He is actively involved in the UPC CBA research group focused on broadband and communication systems and the IDEAI-UPC group advancing data science and AI. These affiliations reflect a strong interdisciplinary research profile bridging networking and intelligent systems.

Krzysztof Walkowiakمشاهده پروفایل

استاد

• Computer Network Optimization
• Machine Learning in Networks
• Artificial Intelligence
• +۱۳ مورد دیگر

Krzysztof Walkowiak is a Professor at the Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology (PWr), where he also serves as the Dean of the Doctoral School. He leads the Computer Networks Team (ZSK) and is actively involved in multiple research projects, including Dark-Box Optimization and evolutionary methods for multi-criteria network design. A Senior Member of IEEE and IEEE ComSoc, he contributes to academic governance as a member of the Polish Academy of Sciences’ Committee on Electronics and Telecommunications. PhD in Computer Science (2000, with distinction) Habilitation in Computer Science (2008) Professor of Technical Sciences (2017) Dean of the Doctoral School, PWr (since 2020) Senior Member, IEEE and IEEE Communications Society Member, Committee on Electronics and Telecommunications, Polish Academy of Sciences His research spans computer network optimization, machine learning in networks, evolutionary algorithms, survivable optical networks, and intelligent computational techniques . He has pioneered the integration of AI methods in teleinformatics and leads initiatives in intent-based and cognitive networking. His work emphasizes multi-layer, application-aware network design and distributed processing systems. The 15 most recent publications reflect a strong trend in optimization under uncertainty, AI-driven networking, and metaheuristic algorithm development . There is a clear focus on survivability, scalability, and automation in modern network architectures, with increasing attention to edge intelligence via TinyML and cognitive systems. His recent work also addresses internationalization and pedagogical innovation in doctoral education. Fabio Neri Best Paper Award 2014 (Elsevier Journal of Optical Switching and Networking) Best Paper Award, DRCN2009 (Washington, USA) Best Paper Award, RNDM2015 (Munich, Germany) Medal of the National Education Commission (2011) Scientific Scholarship, Wrocław University of Science and Technology (2017) Star of Internationalization 2024 – Teaching Star Professor Walkowiak has supervised 10 completed PhD theses and currently mentors 5 doctoral students. He has led or managed 13 research projects funded by NCN (including 4 OPUS grants), EU, NAWA, and national agencies. His grant leadership includes the NAWA InterDocSchool project (2021–2023) and the Unite! Doctoral School curriculum development. He has reviewed over 300 journal submissions and served as session chair at 22 international conferences. He leads several research teams: Computer Networks Team (ZSK), Machine Learning Team, Advanced Data Analysis Methods Team, Metaheuristics Team, and Teaching Team . He has developed innovative educational programs such as the Research Skills course and Recent Research Trends , promoting international collaboration and doctoral training. He championed the transition to English-language instruction in the Doctoral School and promotes internationalization as a 'team sport' across institutional levels.

Muhammed Ali Bingolمشاهده پروفایل

مدرس ارشد

• Cryptography
• Information Security
• Blockchain & Cryptocurrencies
• +۹ مورد دیگر

Dr. Muhammed Ali Bingol is a Senior Lecturer in Cyber Security and Programme Leader for the BSc in Computer Networks and Security at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. He is affiliated with the Cyber Technology Innovations and Digital Future Institute research groups. Education: Ph.D. in Computer Science and Engineering, Sabanci University, 2019 M.Sc. in Electronics and Communication Engineering, Istanbul Technical University, 2012 B.Sc. in Telecommunications Engineering, Istanbul Technical University, 2008 His research focuses on cryptography , information security , blockchain , secure multi-party computation , private function evaluation , authentication systems , and e-voting . He has contributed significantly to RFID security, distance-bounding protocols, and cryptographic protocol design. His work bridges theoretical cryptography and practical security implementations in wireless, cloud, and mobile environments. His recent publications (2022–2025) span topics from flexible threshold signatures and homomorphic encryption to blockchain-based voting and pedestrian safety analysis , indicating an interdisciplinary reach while maintaining a core in cryptographic protocol development. Trends show increasing focus on blockchain integration, privacy-preserving technologies, and real-world security applications. Scientific Awards and Memberships: Fellowship of the Higher Education Academy (FHEA) Member, Institute of Electrical and Electronics Engineers (IEEE) Cisco Networking Academy (CNA) Dr. Bingol has advised on multiple EU, public, and government cybersecurity projects and has served as a visiting scientist at Université Catholique de Louvain and a visiting lecturer at Istanbul City University. He has held industrial research roles at TÜBİTAK BİLGEM (Chief Researcher, 2008–2020), TSSG, and AOL. He leads curriculum development for undergraduate cybersecurity programs and teaches courses in cryptography, networks, malware analysis, and security management. He is actively involved in the Cyber Technology Innovations research group, where he contributes to advancing secure communication protocols, blockchain applications, and privacy-preserving technologies.

Zuomin Dongمشاهده پروفایل

استاد

• Hybrid Electric Propulsion Systems
• Fuel Cell Systems
• Global Optimization Algorithms
• +۴ مورد دیگر

Zuomin Dong is a Professor in the Department of Mechanical Engineering at the University of Victoria (UVic), Canada. He holds a Ph.D. in Mechanical Engineering from the University at Buffalo and has been a faculty member since 1989. He served as Chair of the Department of Mechanical Engineering for over a decade and is a Professional Engineer (P.Eng.) and Fellow of the Canadian Society for Mechanical Engineers (CSME). His research focuses on advanced propulsion systems, including hybrid electric vehicles, marine vessels, and fuel cell technologies, alongside optimization algorithms and intelligent systems applied to manufacturing and energy systems. Dr. Dong's work integrates computational design, global optimization methods, and real-time control systems. Key research areas include PEM fuel cell system modeling, 5-axis CNC machining optimization, and smart grid applications. He has authored numerous patents, including innovations in hybrid drive systems and fuel cell stack designs. His collaborations with industry and government agencies address challenges in green transportation and energy efficiency. Dr. Dong teaches undergraduate and graduate courses such as Computer-Aided Design, Hybrid Electric Vehicle Fundamentals, and Engineering Optimization. He has led editorial roles in journals like the International Journal of Concurrent Engineering and contributed to international conferences. His research has been supported by grants from NSERC, Transport Canada, and other funding bodies, emphasizing practical applications of advanced technologies.

Llorenç Cerdà-Alabernمشاهده پروفایل

دانشیار

• Computer Networks
• Wireless Networks
• Mesh Networks
• +۵ مورد دیگر

Llorenç Cerdà-Alabern is an Associate Professor in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), specifically affiliated with the School of Computer Science of Barcelona (FIB). He is a member of the CNDS - Computer Networks and Distributed Systems research group (TECNIO/CIT UPC network). His academic career spans over two decades since joining UPC in 1994, with a focus on network technologies and protocols. Dr. Cerdà-Alabern earned his Engineering degree in Telecommunications from UPC in 1993 and completed his PhD in Telecommunications Engineering in January 2000 with a thesis titled "Traffic Management of the ABR Service Category in ATM Networks". His academic journey reflects a deep commitment to network engineering and computer science. His research interests span multiple areas in networking, with particular expertise in Computer Networks , Wireless Networks , Mesh Networks , Community Networks , TCP/IP , Routing Algorithms , and MAC Protocols . Dr. Cerdà-Alabern's work emphasizes performance evaluation, analytical modeling, and the design of layer two and three network protocols. His current research primarily focuses on Wireless Community Networks, where he investigates network resilience, reliability, and innovative architectures for decentralized connectivity solutions. His work often intersects with sustainability, rural connectivity, and community-driven network models, particularly through his involvement with the Guifi.net community network. Analysis of Dr. Cerdà-Alabern's recent publications (2019-2024) reveals a strong emphasis on wireless community networks, with particular focus on anomaly detection, network reliability, and economic models. His research demonstrates a clear trajectory toward making community networks more robust, efficient, and accessible, with increasing attention to machine learning applications for network monitoring and optimization. The publications show consistent collaboration with international researchers and a practical approach to solving real-world networking challenges, especially in underserved areas. Dr. Cerdà-Alabern has successfully advised six PhD students to completion, including Gabriele Gemmi (2024), Javad Manzoor (2019), Axel Neumann (2017), Maryam Amiri Nezhad (2013), Amir Darehshoorzadeh (2012), and Rafael Paoliello-Guimarães (2008). His research has been supported by numerous competitive projects, including EU-funded initiatives like EXPERT, COST-257, MOEBIUS, WIDENS, COST-279, EuroNGI, and CONFINE, as well as collaborations with industry partners like Nokia. His work has resulted in over 200 academic activities. As a key member of the CNDS research group, Dr. Cerdà-Alabern contributes to several network-related initiatives, particularly those focused on community networks and wireless mesh technologies. His work with the Guifi.net community network represents a significant practical application of his research, where theoretical concepts are implemented in real-world settings to provide connectivity to underserved communities. He has also developed various software tools, including the Topology Generator of Guifi.net and Shapley value Monte Carlo simulation tools for network analysis.

Jörg Patzakمشاهده پروفایل

استاد

• Transportation Engineering
• Civil Engineering
• Road Pavement Design
• +۳ مورد دیگر

Prof. Dr.-Ing. Jörg Patzak is a full-time professor of transportation engineering at the Berlin University of Technology (BHT), Department III - Civil Engineering and Geoinformation. He specializes in asphalt pavement analysis, structural assessment, and mechanical deformation behavior of road materials. Current Role: Professor of Traffic Infrastructure Engineering (since 2020) Research Focus: Road pavement dimensioning, maintenance strategies, and material testing under thermal stress Key Collaborations: IDAV GmbH, TU Dresden, Bundesanstalt für Straßenwesen (BASt) His research explores asphalt pavement durability under climate change impacts, including frost simulation and temperature-induced material deformation. Recent publications analyze hybrid pavement systems, granular base materials, and computational models for predictive maintenance. Prof. Patzak leads the Laboratory and Testing Center for Asphalts at BHT and contributes to national research programs like Germany's BMBF High TechMatBau initiative.

Leonardo Badiaمشاهده پروفایل

دانشیار

• Mathematical Optimization
• Telecommunications
• Game Theory
• +۴ مورد دیگر

Leonardo Badia is an Associate Professor at the University of Padova . He holds a PhD in Information Engineering from the University of Ferrara and has held academic positions at IMT Lucca Institute and the University of Padova since 2016. Research Interests : His work focuses on mathematical optimization for communication networks, including Markov models for protocol analysis, cross-layer optimization of routing/scheduling/resource allocation, Age-of-Information (AoI) , energy harvesting , and game theory applications. He has published over 200 papers in top-tier journals and conferences. Recent Articles highlight his contributions to AoI optimization, adversarial modeling in CPS, strategic cooperation in IoT/metaverse, and energy-efficient network protocols. His work spans telecommunications , game theory , and networking , with subfields like hybrid ARQ , multi-radio resource management , and QoS-aware scheduling . Awards : Best Paper Awards at IEEE MobiWac 2005, IEEE CAMAD 2006, and IEEE Globecom 2007.

David Maloneمشاهده پروفایل

استاد

• Mathematical Modeling
• WiFi Networks
• Power Line Communications (PLC)
• +۵ مورد دیگر

David Malone is a Professor and Director of the Hamilton Institute at Maynooth University, affiliated with the Department of Mathematics & Statistics. His research focuses on networking security, wireless network modeling (802.11 and IPv6), power line communications, and password security analysis. Education: B.A.(mod), M.Sc., Ph.D. in Mathematics from Trinity College Dublin Research Interests: Mathematical modeling of networks, WiFi/PLC measurement, password security, IPv6 administration, and wireless network optimization Email: david.malone@mu.ie Recent publications analyze non-cryptographic hash functions, password guessing algorithms, and network security protocols. He has supervised numerous Ph.D. and M.Sc. students in networking and security domains.

• molecular dynamics modeling
• artificial intelligence methods
• Data Science
• +۱ مورد دیگر

Dmytro Viktorovych Shyrokorad is a Senior Lecturer at the Department of System Analysis and Computational Mathematics within the Faculty of Computer Science and Technologies at Zaporizhia National Technical University. With a Candidate of Physical and Mathematical Sciences degree and extensive expertise in computational methods and materials science, he contributes significantly to both teaching and research activities at the university since 2017. Dr. Shyrokorad holds three higher education degrees from prestigious Ukrainian institutions: Zaporizhia National Technical University, Faculty of Informatics and Computing Technologies (2012) - Specialist in Systems Analysis Zaporizhia National Technical University, Faculty of Economics and Management (2012) - Financier qualification Zaporizhia National University, Faculty of Mathematics (2012) - Applied Mathematics specialist He defended his Candidate's thesis in Solid State Physics in 2018 at the G. V. Kurdyumov Institute of Metal Physics of the NAS of Ukraine. His research focuses on the intersection of computational physics and artificial intelligence, with particular emphasis on molecular dynamics modeling of nanoscale phenomena and artificial intelligence methods for data analysis. His work bridges theoretical physics with practical applications in materials science and engineering. Dr. Shyrokorad has published extensively on Janus-like nanoclusters, thin film deposition, and neural network applications in various scientific domains. Analysis of his 15 most recent publications reveals a strong research trajectory in computational materials science, particularly in molecular dynamics simulations of nanoclusters and their transformations under various conditions. His work spans both fundamental research in nanoscale phenomena and applied research in data science and machine learning applications. Dr. Shyrokorad actively participates in international conferences, presenting his research findings to the global scientific community. His Google Scholar profile shows consistent scholarly output with increasing impact in his fields of expertise. In addition to his research activities, Dr. Shyrokorad teaches several important courses including "Creating Web resources", "Informatics", "Informatics and computing", and "Computer Engineering and Programming", contributing to the education of the next generation of computer scientists and engineers.