Assist Prof Dr. Vadym Hapanchak | Mobile Networks | Best Researcher Award

Assist Prof Dr. Vadym Hapanchak | Mobile Networks | Best Researcher Award

Assist Prof Dr. Vadym Hapanchak, Instituto Militar de Engenharia, Brazil

πŸ‘¨β€πŸ’Ό Vadim S. Hapanchak is a Telecommunication and Informatics Engineer with over 5 years of experience in academic R&D projects. He specializes in software development for vehicular communication systems and has received multiple Awards for Excellence for his work. Vadim holds a MSc in Telecommunications and Computer Science from the University of Minho and is currently pursuing a PhD in AESI. He has served as an Invited Assistant Professor at the University of Minho since 2020, teaching various courses related to network communication. Vadim’s previous experience includes working as a Researcher at the INNOVCAR Project, where he was responsible for developing and maintaining Cooperative Adaptive Cruise Control (CACC) for the Platoon application, leveraging inter-vehicle communication to enhance ADAS system performance. πŸš—πŸ’»πŸŽ“

🌐 Professional Profiles :

Scopus

Orcid

πŸŽ“ Education:

  • PhD in AESI (Advanced Engineering Systems for Industry), University of Minho (2019 – Present)
  • MSc in Telecommunications and Computer Science, University of Minho (2013 – 2018)

πŸš€ Experience:

  • Invited Assistant Professor, University of Minho (2020 – Present) Teaching practical sections of various network communication courses to students of the Faculty of Informatics.
  • Researcher at INNOVCAR Project (2017 – 2019)
    • Developed and maintained Cooperative Adaptive Cruise Control (CACC) for Platoon application.
    • Utilized inter-vehicle communication to enhance ADAS system performance, integrating CAN information.
    • Conducted troubleshooting and validation procedures in laboratory and simulation environments.

πŸ“šΒ Scopus Metrics:

  • πŸ“Β Publications:Β 07 documents indexed inΒ Scopus.
  • πŸ“ŠΒ Citations: A total of 14 citations for his publications, reflecting the widespread impact and recognition of Dr. Vadym Hapanchak’s research within the academic community.

Publications Top Notes :

  1. Publication: “A Cross-layer Approach for MPTCP Path Management in Heterogeneous Vehicular Networks”
    • Authors: V. Hapanchak, A. Costa
    • Journal: Journal of Communications Software and Systems
    • Published Year: 2023
    • Cited by: 1 Citation
  2. Publication: “Design and Evaluation of a Cross-Layer MPTCP Path Manager for Vehicular Networks”
    • Authors: V.S. Hapanchak, A.D. Costa
    • Conference: 30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022
    • Published Year: 2022
    • Cited by: 2 Citations
  3. Publication: “Emulation of Multi-Connectivity in Hybrid Vehicular Networks”
    • Authors: V.S. Hapanchak, A.D. Costa
    • Conference: International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022
    • Published Year: 2022
    • Cited by: 4 Citations
  4. Publication: “Emulation of Multipath Solutions in Heterogeneous Wireless Networks Over Ns-3 Platform”
    • Authors: V.S. Hapanchak, A.D. Costa
    • Journal: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
    • Published Year: 2022
    • Cited by: 5 Citations

 

 

 

 

 

Mr. Julio Tesolin | Mobile Networks | Best Researcher Award

Mr. Julio Tesolin | Mobile Networks | Best Researcher Award

Mr. Julio Tesolin, Instituto Militar de Engenharia, Brazil

Mr. Julio Tesolin is an experienced professional with a background in Electronic Engineering and a Master’s degree in Systems and Computing from the Military Institute of Engineering. He completed his Doctorate in Defense Engineering, focusing on a geo-context approach for radio access technologies selection in heterogeneous public safety networks. With expertise in telecommunications systems, data conceptual modeling, and data integration architecture, Julio has held positions at AMDOCS and IBM Research Brazil, where he conducted research on FAIR principles implementation and performed experiments using Node.js and Python. He also has a significant tenure at Nextel TelecomunicaΓ§Γ΅es, where he worked on optimizing radio frequency systems in various areas of Rio de Janeiro. Throughout his career, Julio has demonstrated a strong commitment to technological advancement and innovation in telecommunications.

🌐 Professional Profiles :

Scopus

πŸŽ“ Education:

Mr. Julio TesolinΒ has navigated through a diverse educational journey, culminating in a rich tapestry of expertise. From the πŸ›‘οΈ Ph.D. in Defense Engineering to the πŸ–₯️ M.Sc. in Systems and Computing, his academic pursuits have traversed the realms of technology and strategy. With specializations in πŸ“Š Systems Analysis and Design, πŸ“‘ Telecommunications Systems, and an πŸ“ˆ MBA Executive, Tesolin has honed a versatile skill set, poised to tackle complex challenges at the intersection of engineering and innovation.

πŸ‘¨β€πŸ’Ό Professional Experience:

  • Technical Support Professional, IBM Research Brazil, 2021-2023
  • Professional Services Specialist, AMDOCS, 2012-2020
  • Senior Telecommunications Engineer, Nextel TelecomunicaΓ§Γ΅es, 2004-2010
  • RF Engineer, TIM Brasil, 2004
  • Professor Visitante, Grupo IBMEC, 2022-Current
  • Engineer Specialist RF, Oi S/A, 2010-2011
  • Senior Telecommunications Engineer RF, Nokia Siemens Networks do Brasil, 2010
  • Military Engineer Officer, Instituto de Pesquisa e Desenvolvimento, 1998-1999

πŸ“š Research Focus:

Julio Cesar Cardoso Tesolin πŸŽ“ is deeply immersed in the realms of πŸ“Š Conceptual Data Modeling and 🧠 Knowledge Representation, exploring the intricate landscapes where data meets abstraction. With a keen eye for patterns and a passion for structuring information, he delves into the essence of data, unraveling its complexities and shaping it into meaningful models that drive innovation and understanding. His work stands at the intersection of theory and application, paving the way for new insights and advancements in the digital realm.

Publications Top Notes :

1.Β  Publication: Enhancing heterogeneous mobile network management based on a well-founded reference ontology

Published Year: 2023

Journal: Future Generation Computer Systems

2.Β  Publication: Enhancing heterogeneous mobile network management based on a well-founded reference ontology

Published Year: 2023

Journal: Future Generation Computer Systems

3.Β  Publication: Enhancing heterogeneous mobile network management based on a well-founded reference ontology

Published Year: 2023

Journal: Future Generation Computer Systems

 

 

 

 

Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

Assoc Prof Dr. Saeed Emami | Network Optimization | Best Researcher Award

Prof Dr. Saeed Emami, Babol Noshirvani University of Technology, Iran

Dr. Saeed Emami is an Associate Professor in the Department of Industrial Engineering at Babol Noshirvani University of Technology, Iran. He received his Ph.D. in Industrial Engineering from Isfahan University of Technology in 2015, focusing on order acceptance and scheduling problems in make-to-order systems. With a strong background in optimization and uncertainty, his research interests span various areas, including robust optimization, production planning, facility planning, and supply chain management. As Vice-Chancellor of the Faculty of Materials and Industrial Engineering since January 2020, he plays a key role in academic leadership. With a wealth of teaching experience in engineering courses, he also serves as a supervisor and advisor for numerous master’s theses, addressing diverse topics such as healthcare scheduling, cloud manufacturing, and green supply chain planning. Emami’s contributions extend to the development and application of metaheuristic algorithms, simulation, and multi-criteria decision-making in industrial engineering.

🌐 Professional Profiles : 

Google Scholar

Scopus

Orcid

πŸŽ“Β Education:

    • Ph.D. in Industrial Engineering, Isfahan University of Technology, Iran (2015)
    • M.S. in Industrial Engineering, Isfahan University of Technology, Iran (2008)
    • B.S. in Industrial Engineering, Isfahan University of Technology, Iran (2004)

πŸ“š Teaching Experience:

  • Courses at Babol Noshirvani University of Technology since 2010
    • Engineering Economy, Probability theory, Statistics
    • Computer Applications in Industrial Engineering, Production planning
    • Linear algebra, Simulation, Decision analysis
    • Inventory control, Decision making in healthcare systems
    • Computer simulation, modeling, and optimization, Combinatorial optimization

🏭 Work Experience:

  • Current Position: Associate Professor at Babol Noshirvani University of Technology (since Sep 2015)
  • Supervisor of Master Theses: Diverse topics in Industrial Engineering, including nurse scheduling in the Covid-19 pandemic and integrated production and distribution planning in a green closed-loop supply chain.
  • Advisor of Master Theses: Covering areas like home health care service planning, flexible flow shop scheduling, order acceptance in make-to-order systems, and more.

🧠 Research Interests:

Dr. Saeed Emami, an accomplished Associate Professor at Babol Noshirvani University of Technology, is deeply immersed in the realms of industrial engineering. His intellectual pursuits span a diverse spectrum, from the intricacies of optimization and robust techniques to the art of decomposition algorithms like Benders and Lagrangian relaxation. With a keen focus on production planning, scheduling, and facility planning, he navigates the complexities of supply chain management, employing metaheuristic algorithms such as Nested Partition and Genetic approaches. Dr. Emami’s academic canvas is further enriched by his exploration of simulation methodologies and the nuanced landscape of multi-criteria decision making. πŸŒπŸ“Š

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 19 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 345 citations for his publications, reflecting the widespread impact and recognition of Dr. Saeed Emami’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 471 πŸ“–
    • h-index: 9 πŸ“Š
    • i10-index: 9 πŸ”
  • Since 2018:
    • Citations: 417 πŸ“–
    • h-index: 8 πŸ“Š
    • i10-index: 8 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top NotesΒ  :

  1. Multi-objective Fuzzy Robust Optimization Approach to Sustainable Closed-Loop Supply Chain Network Design
    • Authors: S Nayeri, MM Paydar, E Asadi-Gangeraj, S Emami
    • Published Year: 2020
    • Journal: Computers & Industrial Engineering
    • Cited By: 141
  2. Managing a new multi-objective model for the dynamic facility layout problem
    • Authors: S Emami, AS Nookabadi
    • Published Year: 2013
    • Journal: International Journal of Advanced Manufacturing Technology
    • Cited By: 82
  3. Wheat sustainable supply chain network design with forecasted demand by simulation
    • Authors: F Motevalli-Taher, MM Paydar, S Emami
    • Published Year: 2020
    • Journal: Computers and Electronics in Agriculture
    • Cited By: 55
  4. A Benders decomposition approach for order acceptance and scheduling problem: a robust optimization approach
    • Authors: S Emami, G Moslehi, M Sabbagh
    • Published Year: 2017
    • Journal: Computational and Applied Mathematics
    • Cited By: 37
  5. Metaheuristic algorithms to allocate and schedule of the rescue units in the natural disaster with fatigue effect
    • Authors: S Nayeri, E Asadi-Gangraj, S Emami
    • Published Year: 2019
    • Journal: Neural Computing and Applications
    • Cited By: 30

 

 

 

 

 

 

Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

Mrs. Mahdieh Ghasemlou | Network Optimization | Best Researcher Award

Mrs. Mahdieh Ghasemlou, University of Birjand, Iran

πŸ‘©β€πŸŽ“ Mrs. Mahdieh Ghasemlou is a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran, embarking on a scholarly journey with a focus on “NOMA multi-user transceivers for 5G mobile communication networks.” 🌐 Under the guidance of mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini, her dedication to advancing knowledge in electrical engineering is evident. πŸš€ Prior to her Ph.D., Mahdieh achieved a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran. πŸ“š Her academic commitment extends to cutting-edge areas like NOMA and 5G communication networks. πŸ’‘ As a devoted researcher, Mahdieh explores a diverse spectrum of wireless communications, including ultra-wideband (UWB) techniques for ranging and localization, signal processing innovations, and resource management strategies in NOMA systems. πŸ“‘ Her multifaceted expertise significantly contributes to the dynamic evolution of wireless technologies. 🌟

πŸŽ“Β Education :Β 

πŸŽ“ Mrs. Mahdieh Ghasemlou is currently on a scholarly pursuit as a Ph.D. student in Electrical Engineering-Communications Technology at the University of Birjand, Iran. 🌐 Her doctoral thesis, titled “NOMA multi-user transceivers for 5G mobile communication networks,” is under the supervision of esteemed mentors Dr. Nasser Neda and Dr. Jalil Seifali Harsini. πŸ“š Prior to her Ph.D., Mahdieh earned a Master of Science in Electrical Engineering-Communications from the Islamic Azad University Tehran South branch in Tehran, Iran, in February 2013. πŸš€ Her academic journey reflects a deep commitment to advancing knowledge in the field of electrical engineering, particularly in cutting-edge areas like NOMA and 5G communication networks. πŸ“‘πŸ’‘

🌐 Professional Profiles : 

Google Scholar

🧠 Research Interests πŸ”¬πŸŒ :

πŸ“‘ Mrs. Mahdieh Ghasemlou is a dedicated researcher with a broad spectrum of interests spanning the dynamic field of wireless communications. 🌐 Her expertise encompasses ultra-wideband (UWB) communications, where she explores advanced techniques for ranging and localization. πŸ“ΆπŸ’¬ Mahdieh’s proficiency extends to signal processing, delving into innovative approaches to enhance communication systems. πŸ’‘ Moreover, her research interests include NOMA systems (Non-Orthogonal Multiple Access), focusing on optimizing resource management strategies for improved efficiency and performance. πŸš€ With a diverse range of interests, Mahdieh contributes significantly to the evolving landscape of wireless technologies and signal processing. 🌟

Publications Top NotesΒ  :

1.Β  An improved method for TOA estimation in TH-UWB system considering multipath effects and interference

Publication Source: JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 2 (15), 23-29

Year: 2014, Cited By: 2

2.Β  A New Method of TOA Estimation in TH_UWB Systems with Multipath Channel and in the Presence of interference

Publication Source: IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING 21, 1-6

Year: 2013, Cited By: 1