Yirga Munaye | Wireless Tech | Best Researcher Award

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Assoc. Prof. Dr. Yirga Munaye | Wireless Tech | Best Researcher Award

Associate Professor | College of Engineering and Technology | EthiopiaΒ 

Assoc. Prof. Dr. Yirga Munaye is an accomplished Associate Professor and Postdoctoral Researcher specializing in Artificial Intelligence, Wireless Communication, and Cybersecurity. He holds a Ph.D. in Electrical Engineering and Computer Science from the National Taipei University of Technology, Taiwan, an M.Sc. in Information Science from Addis Ababa University, and a B.Sc. in Information Technology from Bahir Dar University. Assoc. Prof. Dr. Yirga Munaye has held key academic and administrative positions, including Director of the E-Learning Management Administration Unit and Postgraduate, Research, and Community Service Coordinator at Injibara University, where he has also served as an Assistant Professor and researcher. His work focuses on machine learning, deep learning, UAV-assisted communication systems, IoT security, and resource management in wireless networks. He has authored and co-authored numerous peer-reviewed journal and conference papers in international venues such as IEEE, IET, and MDPI. Beyond research, he is actively involved in mentoring postgraduate students, evaluating mega research projects, and contributing as a reviewer and chair for international conferences like ICT4DA and ICAST. Assoc. Prof. Dr. Yirga Munaye has received multiple recognitions for his academic and professional contributions, including excellence awards for teaching, research, and community engagement. His ongoing projects explore AI-driven solutions for smart cities, cyber threat intelligence, and sustainable network design, reflecting his dedication to advancing technology for societal impact and global innovation.

Profile:Β  Google Scholar | Orcid

Featured Publication

Tsegazewold Kinfu, Yirga Yayeh, Yechale Amogne, Emiyamrew Azmeraw, A. O. Salau (2025). Designing an Efficient Blockchain-Enabled Internet of Things (IoT) Framework for Smart Farming. 10.22060/eej.2025.24288.5673

Munaye, Y. Y., Workneh, A. B., Chekol, Y. B., & Mekonen, A. M. (2025). Effective Detection of Malicious URLs Using Deep Learning Techniques. Algorithms, 18, 355.

Munaye, Y. Y., Admass, W., Belayneh, Y., Molla, A., & Asmare, M. (2025). ChatGPT in Education: A Systematic Review on Opportunities, Challenges, and Future Directions. Algorithms, 18, 352.

Mekonnen, A. M., Munaye, Y. Y., & Chekol, Y. B. (2025). A Hybrid LSTM-CNN Approach Using Multilingual BERT for Sentiment Analysis of GERD Tweets. Buletin Ilmiah Sarjana Teknik Elektro, 7(2), 206–213.

Munaye, Y. Y., Addis, M., Belayneh, Y., Molla, A., & Admass, W. (2025). Hybrid Deep Learning Methods for Human Activity Recognition and Localization. Algorithms, 18, 235.

Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

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Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Southeast University | China

🌟 Sahar Salaheldeen Abdelgader Abbas holds an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, Istanbul, Turkey πŸŽ“. Her research focuses on wireless networks πŸ“‘, IoT 🌐, machine learning πŸ€–, and wireless communications πŸ“Ά. Passionate about continuous learning πŸ“š, she thrives on challenges and embraces new skills with enthusiasm. πŸš€ Sahar’s academic journey includes impactful research on energy efficiency in wireless sensor networks and LTE-A technologies, contributing to esteemed publications. ✍️ Self-motivated, communicative, and driven, she aims to expand her expertise while pursuing innovative solutions in modern communication systems. πŸ’‘

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Sahar Salaheldeen Abdelgader Abbas is highly suitable for the Best Researcher Award due to her impactful contributions in the fields of wireless networks, IoT, machine learning, and wireless communications. With an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, her academic foundation is solid, and her research work focuses on energy efficiency in wireless sensor networks and LTE-A technologies. These areas are crucial for advancing the capabilities and sustainability of modern communication systems.

Education πŸ“– & Experience πŸ‘©β€πŸ’ΌΒ 

  • πŸ“œ MSc (Honours) in Electronics & Communications Engineering, Yildiz Technical University, Turkey (2018–2021) – CGPA: 3.57/4.00
    • Thesis: “Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations”
    • Supervisor: Assoc. Prof. Tansal GUCLUOGLU
  • 🎯 BSc (Honours) in Electronics Engineering Technology, University of Gezira, Sudan (2013–2018) – CGPA: 3.85/4.00
    • Thesis: “Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10”
    • Supervisor: Assoc. Prof. Abdallah A. Osman
  • 🏫 Secondary School, Alandalus Private School, Sudan (2011–2013) – Grade: 85.3%
  • πŸ“ Published research articles in applied sciences and international conferences
  • πŸ” Conducted advanced research on wireless sensor networks and LTE-A technologies

Professional DevelopmentΒ 

πŸš€ Sahar is committed to continuous professional growth through academic research and active participation in scientific conferences 🌍. She has co-authored papers on wireless sensor networks and LTE-A technologies, contributing to global discussions on energy efficiency πŸ“‘ and optimization techniques. Her dedication to lifelong learning πŸ“š drives her to explore emerging trends in IoT 🌐, machine learning πŸ€–, and wireless communications πŸ“Ά. With strong analytical skills and a passion for innovation πŸ’‘, Sahar embraces every challenge as an opportunity to enhance her knowledge and make a meaningful impact in the tech industry. ✨

Research FocusΒ 

πŸ”¬ Sahar’s research focuses on wireless networks πŸ“‘, IoT 🌐, and machine learning πŸ€–, with a special interest in optimizing energy efficiency for wireless sensor networks (WSNs) ⚑. Her work explores advanced techniques to enhance network performance through mobile base station placement optimization πŸš€. Additionally, she investigates LTE-A technologies πŸ“Ά, focusing on downlink throughput analysis for next-generation networks. Sahar’s research contributes to the development of sustainable communication systems 🌱, bridging theoretical models with real-world applications. Her innovative mindset fosters continuous exploration of emerging technologies and their impact on future wireless communication infrastructures. 🌍

Awards & Honors πŸ†

  • πŸ… Honours Degree in MSc & BSc with outstanding CGPA
  • πŸ“œ Published in peer-reviewed journals and international conferences
  • 🌟 Recognized for contributions to energy-efficient wireless communication research

Publication Top Notes:

⚑ Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations Β πŸ“‘ Cited by 2
πŸ“‘ Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications
πŸ“Ά Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10

 

 

 

Assoc. Prof. Dr. Lei Li | Wireless Technology | Best Researcher Award

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Assoc. Prof. Dr. Lei Li | Wireless Technology | Best Researcher Award

Assoc. Prof. Dr. Lei Li, Huaiyin Normal University, China

Dr. Lei Li is an Associate Professor at Huaiyin Normal University, China, where he has been a faculty member since 2006. He earned his M.S. in Communication and Information Systems from Xi’an University of Science and Technology in 2006 and completed his Ph.D. in 2024 at Nanjing University of Science and Technology. Dr. Li specializes in microwave theory, absorptive circuit designs, and integrated circuit design. His research focuses on advancing microwave engineering and circuit design, with a particular emphasis on absorptive circuits. Throughout his academic career, Dr. Li has gained valuable experience at prestigious institutions, contributing significantly to the field of microwave and circuit design.

Publication Profile:

Orcid

Suitability for the Best Researcher Award:

Dr. Lei Li’s research in microwave theory and components is cutting-edge and has substantial practical implications for fields such as telecommunications, radar systems, and signal processing. His work on absorptive circuits, bandpass filters, and balun designs is instrumental in advancing microwave engineering.

Academic Background:

He earned his M.S. degree in Communication and Information Systems from Xi’an University of Science and Technology, China, in 2006. He later pursued his Ph.D. at Nanjing University of Science and Technology, China, from 2018 to 2024. πŸŽ“

Career & Academic Experience:

Dr. Li joined Huaiyin Normal University in 2006 as a Lecturer in the School of Physics and Electronic Electrical Engineering. He was promoted to Associate Professor in 2017. His expertise spans microwave theory, absorptive circuit designs, and integrated circuit design. πŸ”§

Research Interests:

Dr. Li’s current research focuses on microwave theory and components, with a special emphasis on absorptive circuit designs and the development of integrated circuits. His work contributes to advancing the field of microwave engineering and circuit design. ⚑

International Education & Research:

Dr. Li has gained extensive academic experience through his studies at prestigious institutions, including Nanjing University of Science and Technology, where he has honed his research skills in microwave and circuit design. 🌍

Publications top Notes:Β 

  • Wideband Absorptive Bandpass Filter With Multiple Transmission Zeros and Flat Group Delay
    • Year: 2024
  • A Unified-Mode Analysis Method for Symmetric Networks and Its Application to Balun Design
    • Year: 2024
  • Compact Absorptive Microstrip Bandpass Filter with Adjustable Bandwidth and Phase
    • Year: 2024
  • Compact Absorptive Microstrip Bandpass Filter with Adjustable Bandwidth and Phase
    • Year: 2023

 

Dr. Iulia Antohe | Sensor Networking | Best Researcher Award

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Dr. Iulia Antohe | Sensor Networking | Best Researcher Award

Dr. Iulia Antohe, National Institute for Laser, Plasma and Radiation Physics, Romania

Dr. Iulia Antohe is a Scientific Researcher at the National Institute for Lasers, Plasma, and Radiation Physics in MΔƒgurele, Romania, where she specializes in fiber optic surface plasmon resonance (FO-SPR) sensors for healthcare and environmental applications. She has extensive expertise in biofunctionalization of nanomaterials, including gold and magnetic particles, and the development of conductometric gas sensors. Dr. Antohe has a Ph.D. in Bioscience Engineering from KU Leuven, Belgium, and a Master’s in Advanced Materials and Nanostructures for Electronics and Optoelectronics from the University of Bucharest. Her research focuses on nanotechnologies, plasmonic biosensing, and materials science, and she has contributed to various international projects and publications. She has also gained experience through research fellowships in Spain, Belgium, and Romania. Dr. Antohe is actively involved in supervising students and writing scientific articles and projects.

Publication Profile:

OrcidΒ 
Google Scholar

Suitability for the Best Researcher Award:

Dr. Saraswati Patel’s achievements align perfectly with the criteria for the Best Researcher Award. Her impactful research on drug delivery systems and chronic disease mechanisms addresses critical challenges in pharmacology. Coupled with her leadership, academic excellence, and recognition through awards, she exemplifies a well-rounded researcher dedicated to advancing science and education.

Academic Background:

Dr. Iulia Antohe holds a Ph.D. in Bioscience Engineering from KU Leuven, Belgium, where she focused on fiber optic surface modifications for enhanced plasmonic biosensing. She also completed a Master’s in Advanced Materials and Nanostructures for Electronics and Optoelectronics at the University of Bucharest, Romania, and a Bachelor’s in Physics, specializing in Medical Physics. πŸŽ“

Research & Expertise:

Dr. Antohe is a Scientific Researcher in the Laser Department at the National Institute for Lasers, Plasma, and Radiation Physics, Romania. Her work focuses on the development of fiber optic – surface plasmon resonance (FO-SPR) sensors for healthcare and environmental applications. She also specializes in biofunctionalization of nanomaterials, development of conductometric gas sensors, and materials synthesis and characterization. 🧬

Research Contributions & Achievements:

Dr. Antohe has contributed significantly to the development of plasmonic biosensors, particularly in the fields of allergen detection and immunoglobulin E detection using magnetic particle-based platforms. Her expertise spans materials science, nanotechnology, and bioengineering, with several years of experience in sensor design, bioassay development, and nanostructured materials synthesis. πŸ§ͺ

International Experience & Collaboration:

Dr. Antohe has collaborated with prestigious institutions such as the Catalan Institute of Nanoscience and Nanotechnology (ICN2) and the Autonomous University of Barcelona. She has also attended numerous summer schools and workshops, gaining expertise in various aspects of biosensing, microfabrication, and bioprinting. 🌍

Supervision & Knowledge Sharing:

In addition to her research, Dr. Antohe supervises students and contributes to the academic community by writing articles for peer-reviewed journals and national/international project proposals. Her interdisciplinary approach bridges the gap between material science, biosensors, and environmental applications. πŸ“š

Publications top Notes:Β 

  • Smart design of fiber optic surfaces for improved plasmonic biosensing
    • Year: 2015
    • Citations: 90
  • Improved surface plasmon resonance biosensing using silanized optical fibers
    • Year: 2015
    • Citations: 65
  • Thermal annealing of gold-coated fiber optic surfaces for improved plasmonic biosensing
    • Year: 2016
    • Citations: 40
  • Nanoscale patterning of gold-coated optical fibers for improved plasmonic sensing
    • Year: 2017
    • Citations: 39
  • A polyaniline/platinum coated fiber optic surface plasmon resonance sensor for picomolar detection of 4-nitrophenol
    • Year: 2021
    • Citations: 37

 

 

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

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Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Prof.Β  Ni Yiyang is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

Professional Profile

Google Scholar

Suitability of Prof. Yiyang Ni for the Research for Best Researcher Award

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Best Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

EducationΒ 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

ExperienceΒ 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and HonorsΒ 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research FocusΒ 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31

 

Prof. Jun Li | Mobile Networks | Best Researcher Award

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Prof. Jun Li | Mobile Networks | Best Researcher Award

Prof. Jun Li, Southeast University, China

Jun Li is a distinguished professor at Southeast University’s School of Information Science and Engineering. A prolific researcher in engineering with a career spanning over two decades, he has contributed significantly to advancements in Industrial Internet, 6G communications, and data privacy in federated learning. Jun Li’s pioneering work has been cited over 15,000 times, showcasing his profound impact on these fields. He previously served as a professor at Nanjing University of Science and Technology and held research positions at esteemed institutions such as Princeton University and the University of Sydney. His accomplishments include the Youth Thousand Talents Program and AI Digital Craftsman Award. As an active member of China’s technical communities, Jun Li is highly regarded for his innovative research, esteemed publications, and ongoing contributions to the development of intelligent systems and industrial data solutions.

Professional Profile

Google Scholar

suitability summary of best reseacher award

Jun Li stands as a highly qualified candidate for the Best Researcher Award, demonstrating a blend of extensive research contributions, leadership, and technological advancements across domains like industrial internet, wireless communications, and artificial intelligence. As a professor in the School of Information Science and Engineering at Southeast University, his influence extends through both his innovative research and his commitment to developing critical solutions in fields that are vital to technological advancement and industrial applications.

EducationΒ 

Jun Li holds a Ph.D. in Engineering from Shanghai Jiao Tong University (2009), where he specialized in advanced wireless communication systems. Prior to this, he earned his M.S. in Engineering from Nanjing University of Science and Technology (2004), focusing on foundational engineering principles that later influenced his work in Industrial Internet and data privacy. His academic journey began with a B.S. in Engineering from Jilin University (2001), providing a strong theoretical base in engineering. This diverse educational background across three premier Chinese universities has shaped Jun Li’s expertise in systems integration and collaborative cloud-edge systems for industrial applications. His academic foundations underpin his innovative approaches to developing new methods in 6G wireless technologies, privacy-preserving systems, and industrial IoT, which continue to influence his teaching and research at Southeast University and beyond.

Experience

Currently a professor at Southeast University’s School of Information Science and Engineering (2024–present), Jun Li has previously held a series of esteemed positions. He was a professor at Nanjing University of Science and Technology (2015–2024), where he advanced research in Industrial Internet and next-generation communication systems. As a visiting scholar at Princeton University (2018–2019), he collaborated under Vincent Poor, exploring innovative data privacy techniques in federated learning. Earlier, he was a research fellow at the University of Sydney (2012–2015), where he contributed to projects under Branka Vucetic on cloud-based systems for industrial IoT applications. His postdoctoral research at the University of New South Wales (2009–2012) further deepened his expertise in wireless communication. With a brief role at Shanghai Bell R&D Center, Jun Li’s diverse experience positions him as a leader in both industrial applications and academic research, emphasizing the practical and scalable development of advanced technological systems.

Awards and HonorsΒ 

Jun Li’s career is marked by numerous prestigious awards, including the Youth Thousand Talents Program by the Ministry of Organization (2016) and the Distinguished Professor title from Jiangsu Province (2015). His innovative contributions have also earned him the Excellent Scientist Award from the Chinese Institute of Electronics (2022) and the Global Top 2% Scientist recognition (2023). In the AI field, he received the AI Digital Craftsman Award from the Chinese Association for Artificial Intelligence (2023). His academic contributions have garnered several competitive awards, including multiple Best Paper Awards from IEEE conferences and a top distinction from the National Industrial Internet Innovation Competition (2023). Jun Li’s accolades reflect his prominent role in advancing digital innovation and underscore his commitment to high-impact, interdisciplinary research that addresses key challenges in engineering and industrial communication technologies.

Research Focus

Jun Li’s research is centered on integrating advanced wireless communication with the Industrial Internet, focusing on 6G and privacy-preserving technologies for data management. His recent projects address the development of Intelligent Collaborative Cloud-Edge Systems tailored for industrial applications, aiming to enhance real-time data processing and decision-making in large-scale IoT networks. His work in federated learning emphasizes privacy protection, particularly in sensitive industrial settings, where secure data flow and efficient resource allocation are paramount. Jun Li is also pioneering efforts in positioning systems for asset management, optimizing data flow, and ensuring robust privacy protocols in wireless networks. His research interests extend to high-performance computing solutions for industrial data and cutting-edge strategies in collaborative AI applications, reflecting a comprehensive approach to advancing the industrial IoT ecosystem through integrative, secure, and intelligent technologies.

Β Publication Top Notes

  • Federated Learning with Differential Privacy: Algorithms and Performance Analysis
    • Cited by: 1801
  • Federated Learning for Internet of Things: A Comprehensive Survey
    • Cited by: 927
  • Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges
    • Cited by: 899
  • 6G Internet of Things: A Comprehensive Survey
    • Cited by: 852
  • Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
    • Cited by: 504

Ms. Adeline Bee | Digital Networking | Best Researcher Award

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Ms. Adeline Bee | Digital Networking | Best Researcher Award

Ms. Adeline Bee, Nanyang Technological University, Singapore

Adeline Bee, a Research Associate at Nanyang Technological University, Singapore, brings a wealth of experience and a passion for behavioural science, data analytics, and experimental psychology. With a Master of Philosophy (MPhil) and a Bachelor’s degree in Psychology from Singapore Management University, along with previous roles at NielsenIQ and Risk Lighthouse, Adeline has honed her skills in research and consulting. Her commitment to understanding human behaviour is evident through her contributions to various projects, reflecting her dedication to leveraging research for societal benefit. πŸŽ“πŸ”

πŸ” Professional Profile:

Scopus

Linkedin

Google Scholar

πŸ“š Education:

  • MPhil in Psychology from Singapore Management University, where she honed her research skills and deepened her understanding of psychological principles.
  • Bachelor’s degree in Psychology, also from Singapore Management University, where she laid the foundation for her career in behavioural science.

πŸ‘©β€πŸ’Ό Experience:

  • Nanyang Technological University Singapore: Adeline currently serves as a Research Associate, where she has been actively contributing for over 2 years, focusing on research projects in Singapore.
  • NielsenIQ: Previously, she worked as a Research Executive for 5 months, gaining valuable experience in the industry.
  • Risk Lighthouse: Adeline has interned as a Consulting Intern for a total of 6 months, actively participating in projects such as ADRFI2.
  • Singapore Management University: As a Research Assistant, she conducted exploratory data analysis on primary datasets using statistical models.

🏫 Additional Education:

  • A Levels from Raffles Institution
  • Secondary education at Nan Hua High School

🌍 Internship Experience:

She has also interned at Khoo Teck Puat Hospital, gaining practical experience in psychological medicine, and at Tamar Village, supporting beneficiaries in different life stages.

Publication Top Notes:

 

 

 

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

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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

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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