Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung GuzmĆ”n Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

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Recommendation for Anthony Kyung GuzmƔn Leguel for the Best Researcher Award

Anthony Kyung GuzmĆ”n Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Masterā€™s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelorā€™s studies at ITESO.

šŸŽ“Ā Ā EducationĀ 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

šŸ’¼Ā Ā ExperienceĀ 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

šŸ…Awards and HonorsĀ 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

šŸŒ Research FocusĀ 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

šŸ“– Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Prof. Dr. Yongchang Chen | Transformational Awards | Best Researcher Award

Prof. Dr. Yongchang Chen | Transformational Awards | Best Researcher Award

Prof. Dr. Yongchang Chen, Institute of Primate Translational Medicine/Kunming University of Science and Technology, China

Dr. Yongchang Chen is a prominent researcher specializing in developmental biology and gene therapy. He has contributed significantly to understanding embryogenesis and muscular dystrophy, with a focus on innovative therapeutic strategies. Dr. Chen’s recent work includes studying ex utero monkey embryogenesis and developing effective modulation techniques for gene expression through antisense circular RNAs. He has published numerous articles in reputable journals, advancing knowledge in neural tube development, CRISPR technology, and potential treatments for Duchenne muscular dystrophy. His research is characterized by a commitment to translating basic science into therapeutic applications, demonstrating a profound impact on the field.

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Suitability Summary for Yongchang Chen, Ph.D. for the Best Researcher Award

ongchang Chen’s dedication to advancing neuroscience through innovative research and model development makes him an exemplary candidate for the Best Researcher Award. His groundbreaking work in NHP models for CNS diseases exemplifies the intersection of basic research and translational medicine, positioning him as a leader in the field. Recognizing his contributions will not only honor his individual achievements but also inspire further advancements in neurological research.

šŸŽ“Education:

Dr. Yongchang Chen has an extensive academic background, beginning with his Bachelor’s and Master’s degrees from Gansu Agricultural University, where he studied from 1996 to 2003. He then pursued his doctoral studies at the Kunming Institute of Zoology, Chinese Academy of Sciences, earning his Doctorā€™s degree in 2010. Following his graduation, Dr. Chen held positions as an Assistant and Associate Professor at the Kunming Institute of Zoology from 2003 to 2014. Since 2014, he has been a Professor at the Institute of Primate Translational Medicine at Kunming University of Science and Technology, contributing significantly to research in developmental biology and gene therapy.

šŸ¢Work Experience:

Dr. Yongchang Chen has a robust professional background in academia and research. Since 2014, he has served as a Professor at the Institute of Primate Translational Medicine at Kunming University of Science and Technology. Prior to this role, from 2003 to 2014, he held positions as both an Assistant Professor and an Associate Professor at the Kunming Institute of Zoology, Chinese Academy of Sciences. His academic journey began with his Doctor’s degree obtained at the same institute from 2006 to 2010, following his Bachelor’s and Master’s degrees from Gansu Agricultural University, which he completed between 1996 and 2003. This extensive experience has positioned Dr. Chen as a prominent figure in the field of developmental biology and gene therapy.

Publication Top Notes:

  • “Ex utero monkey embryogenesis from blastocyst to early organogenesis”
  • “Efficient Modulation of Exon Skipping via Antisense Circular RNAs”
  • “Progress in Modeling Neural Tube Development and Defects by Organoid Reconstruction”
  • “Promising therapeutic approaches of utrophin replacing dystrophin in the treatment of Duchenne muscular dystrophy”
  • “No off-target mutations in functional genome regions of a CRISPR/Cas9-generated monkey model of muscular dystrophy”

 

 

 

Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

Dr. Maryam Sharifi, ABB Corporate Research, Sweden

Dr. Maryam Sharifi is a Senior Research Scientist and Control Systems Engineer at ABB Corporate Research in VasterƄs, Sweden, where she focuses on developing optimized planning solutions for autonomous systems and conducting stability studies for renewable-based microgrids. With a Ph.D. in Electrical Engineering from the University of Tehran, Dr. Sharifi has extensive research experience in artificial intelligence, optimization-based solutions, multi-agent systems, and robotic systems. She has held various academic positions, including postdoctoral researcher at KTH Royal Institute of Technology, and has contributed significantly to peer-reviewed journals. Additionally, she has received several honors, including ranking second in her Ph.D. entrance examination among 1,500 participants. Dr. Sharifi is proficient in multiple programming languages and has delivered scientific talks at prestigious institutions.

Professional Profile:

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Suitability for Researcher Awards: Dr. Maryam Sharifi

Summary of Suitability for the Award:

Dr. Maryam Sharifi is a highly accomplished Senior Research Scientist and Control Systems Engineer with a rich academic and professional background that positions her as a leading candidate for a Best Researcher Award. Her expertise spans various critical areas, including Artificial Intelligence, Optimization, Multi-Agent Systems, Robotic Systems, and Formal Methods, making her contributions vital to advancing control systems and autonomous technologies.

šŸŽ“Education:

Dr. Maryam Sharifi earned her Ph.D. in Electrical Engineering with a focus on Control Systems from the University of Tehran, Iran, achieving a GPA of 18.73/20 from September 2015 to April 2020. During her doctoral studies, she was a visiting researcher at the Automatic Control Laboratory at ETH Zurich, Switzerland, from January to June 2019. Prior to her Ph.D., she completed her M.S. in Electrical Engineering (Control Systems) at Amirkabir University of Technology, Tehran, with a GPA of 18.29/20 from September 2013 to September 2015. She also holds two bachelor’s degrees in Electrical Engineering: the first in Control Systems with a GPA of 18.02/20 (September 2009 ā€“ September 2013) and the second in Power Systems with a GPA of 17.9/20 (September 2011 ā€“ September 2014), both from Amirkabir University of Technology

šŸ¢Work Experience:

Dr. Maryam Sharifi currently serves as a Senior Research Scientist at ABB Corporate Research in VasterƄs, Sweden, a position she has held since January 2024. Prior to this role, she was a Research Scientist at the same institution from February 2022 to December 2023. Before joining ABB, Dr. Sharifi worked as a Postdoctoral Researcher at KTH Royal Institute of Technology in Stockholm, Sweden, from September 2020 to February 2022, where she contributed to various advanced research projects in control systems and autonomous technologies.

šŸ…Awards:

Dr. Maryam Sharifi has received several accolades throughout her academic career. She was ranked 2nd in the Ph.D. entrance examination among 1,500 participants in 2015 and achieved 3rd place in her M.S. admission, which exempted her from the entrance examination in 2013. These accomplishments reflect her strong academic performance among a competitive group of 100 electrical engineering students.

Publication Top Notes:

  • “Control barrier function based visual servoing for Mobile Manipulator Systems under functional limitations”
  • “Safe Force/Position Tracking Control via Control Barrier Functions for Floating Base Mobile Manipulator Systems”
  • “Control barrier function based visual servoing for underwater vehicle manipulator systems under operational constraints”
  • “Platoons Coordination Based on Decentralized Higher Order Barrier Certificates”

 

 

 

Dr. Xue Zhong | Emerging Trends | Best Scholar Award

Dr. Xue Zhong | Emerging Trends | Best Scholar Award

Dr. Xue Zhong, South China University of Technology, China

Xue Zhong stands out as a pioneering scholar in landscape architecture and urban climate research. His work integrates multidisciplinary approaches, combining human geography, remote sensing, and AI technologies to address pressing issues in urban thermal environments. His innovative use of UAV-derived multimodal images and high-resolution satellite products marks a significant contribution to the field.

Professional Profile:

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Suitability for the Research for Best Researcher Award

Xue Zhong exemplifies excellence in research with his innovative contributions to landscape architecture and urban climate studies. His groundbreaking work integrates advanced remote sensing technologies and artificial intelligence to address urban thermal environments, showcasing a commitment to both academic rigor and practical impact. His research is not only multidisciplinary but also highly relevant to current environmental challenges.

Academic Background šŸ“š

Xue Zhongā€™s educational journey is marked by a strong foundation in various fields. As a Ph.D. candidate at South China University of Technology, he has achieved significant recognition for his work on urban micro-scale thermal environments. His studies include advanced coursework at Western University and a dual undergraduate background in Human Geography & Urban-Rural Planning and English Language and Literature. This diverse academic background underpins his innovative approach to research.

Professional Experience šŸ’¼

Currently, Xue Zhong is a Ph.D. candidate actively involved in several high-impact research projects. His role in projects funded by prestigious organizations, such as the National Natural Science Foundation of China, highlights his ability to lead and contribute to complex research initiatives. His work as a core member in various research teams underscores his leadership and collaborative skills in advancing knowledge in his field.

Research Interests and Contributions šŸ”¬

Xue Zhongā€™s research interests are centered on leveraging UAV-derived multimodal images and AI technologies to study urban thermal environments. His work explores the integration of remote sensing and artificial intelligence to enhance the understanding and management of urban climates. This innovative approach positions him at the forefront of research in landscape architecture and urban planning, demonstrating his commitment to advancing both theoretical and practical knowledge.

Awards and Recognitions šŸ†

Xue Zhong has garnered notable awards and recognitions for his exceptional research and academic contributions. His work, which bridges multiple disciplines including landscape architecture, urban planning, and remote sensing, has earned him prestigious accolades from academic and research institutions.

Innovations and Impact šŸš€

Xue Zhong has made significant strides in integrating advanced technologies with urban climate research, showcasing a blend of innovation and practical application. His work, particularly in utilizing UAV-derived multimodal images for urban thermal environment evaluation, represents a pioneering approach in the field. By leveraging cutting-edge remote sensing technology and AI-driven analysis, Zhong has developed novel methodologies that offer deeper insights into urban heat islands and micro-scale thermal variations.

Publication Top Notes:

  1. “A thermal performance detection method for building envelope based on 3D model generated by UAV thermal imagery”
    Year: 2020
    Journal: Energies
  2. “Empirical models on urban surface emissivity retrieval based on different spectral response functions: A field study”
    Year: 2021
    Journal: Building and Environment
  3. “Investigating the micro-scale thermal effects of natural underlying surfaces on adjacent spaces in a subtropical zone with an optimized method”
    Year: 2022
    Journal: Building and Environment
  4. “Monitoring and diagnostics of buildings’ heat loss based on 3D IR model of multiple buildings”
    Year: 2022
    Journal: Energy and Buildings
  5. “Investigating the effects of surface moisture content on thermal infrared emissivity of urban underlying surfaces”
    Year: 2022
    Journal: Construction and Building Materials
  6. “A retrieval method for land surface temperatures based on UAV broadband thermal infrared images via the three-dimensional look-up table”
    Year: 2022
    Journal: Building and Environment
  7. “An improved model for emissivity retrieval of complex urban surfaces based on spectral indices from UAV”
    Year: 2022
    Journal: Sustainable Cities and Society

 

 

 

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

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šŸŽ“ Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

šŸ’¼ Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

šŸ” Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

Mr. Hongwei Wang, North Minzu University, China

šŸŽ“ Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, excelling in courses such as Software Engineering and Operating Systems. Currently pursuing a Master’s degree in Computer Technology at North Minzu University, he focuses on Pattern Recognition and Semantic Networks. Recognized with scholarships and awards for academic excellence, including the “Learning Star” award, Hongwei’s analytical prowess shines through participation in competitions like the National Postgraduate Mathematical Modeling Competition. Proficient in both academic and practical domains, he holds a College English Test 4 certification and adeptly utilizes office-related software. šŸ…šŸ†

šŸŒĀ Professional Profile:

Scopus

šŸŽ“ Education:

Mr. Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, where he excelled in major courses such as Software Engineering, Operating Systems, and Internet Programming. Currently, he is pursuing a Master’s degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

šŸ… Honors and Awards:

Mr. Hongwei Wang’s academic achievements have been recognized with scholarships, including a first-class scholarship from the postgraduate school. He has also received accolades such as the “Learning Star” award during his undergraduate studies, highlighting his consistent commitment to academic excellence.

šŸ† Competition:

Participation in prestigious competitions like the National Postgraduate Mathematical Modeling Competitions demonstrates Hongwei Wang’s analytical and problem-solving skills, further complementing his academic endeavors.

šŸ’» Skills:

Proficient in both academic and practical domains, Hongwei Wang holds a College English Test 4 certification and is adept at using office-related software. His multifaceted skill set empowers him to excel in diverse settings.

Publications Top Notes :

CCGL-YOLOV5: A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model

  • Published in Computers in Biology and Medicine in 2023
  • 3 Citations

 

 

 

 

 

Dr. Fariba Goodarzian | Heuristic Approaches Award | Best Researcher Award

Dr. Fariba Goodarzian | Heuristic Approaches Award | Best Researcher Award

Dr. Fariba Goodarzian, Edinburgh Business School, Heriot-Watt University, United Kingdom

šŸŒŸ Dr. Fariba Goodarzian is a highly accomplished academic with a Ph.D. in Industrial Engineering from Yazd University, Iran, specializing in integrated pharmaceutical supply chain networks. With a rich educational background including an M.Sc. from the University of Science and Technology of Mazandaran and a B.Sc. from Mazandaran University of Science and Technology, she has garnered extensive work experience as a Research Associate at esteemed institutions like Edinburgh Business School and Heriot-Watt University, UK. Dr. Goodarzian’s research interests encompass supply chain management, logistics, circular economy, and healthcare operations, earning her accolades such as the Outstanding Doctoral Thesis Award from Xidian University. Alongside her research endeavors, she has demonstrated a commitment to education, teaching diverse subjects at both undergraduate and postgraduate levels. šŸ“š

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šŸŽ“ Education:

Dr. Fariba Goodarzian holds a Ph.D. in Industrial Engineering from Yazd University, Iran, focusing on the design of integrated pharmaceutical supply chain networks. She also obtained an M.Sc. from the University of Science and Technology of Mazandaran and a B.Sc. from Mazandaran University of Science and Technology.

šŸ’¼ Work Experience:

With a diverse academic and research background, Dr. Goodarzian has held positions as a Research Associate at Edinburgh Business School and the School of Social Sciences, Heriot-Watt University, UK, and as a Researcher in various institutions including Universidad de Seville in Spain and the University of Tehran in Iran.

šŸ” Research Interests:

Her research interests span across supply chain management, operations management, logistics and transport, circular economy, agrifood supply chain, and healthcare operations.

šŸ† Achievements:

Dr. Goodarzian has received recognition for her research contributions, including awards such as the Outstanding Doctoral Thesis Award from Xidian University and various project grants.

šŸ‘©ā€šŸ« Teaching Experience:

She has taught a range of subjects at both undergraduate and postgraduate levels, including supply chain management, advanced production systems, inventory management, and mathematics.

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 50 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 1475 citations for his publications, reflecting the widespread impact and recognition of Dr. Fariba Goodarzianā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 2118 šŸ“–
    • h-index: 26 šŸ“Š
    • i10-index: 34 šŸ”
  • Since 2018:
    • Citations: 2112 šŸ“–
    • h-index: 26 šŸ“Š
    • i10-index: 34 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top Notes :

  1. An integrated sustainable medical supply chain network during COVID-19
    • Published in Engineering Applications and Artificial Intelligence in 2021.
    • Cited by 189 articles.
  2. Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms
    • Published in the Journal of Cleaner Production in 2022.
    • Cited by 183 articles.
  3. A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment
    • Published in Applied Soft Computing in 2020.
    • Cited by 161 articles.
  4. A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics
    • Published in Applied Soft Computing in 2020.
    • Cited by 154 articles.
  5. A sustainable-resilience healthcare network for handling COVID-19 pandemic
    • Published in Annals of Operations Research in 2022.
    • Cited by 84 articles.