Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

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Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

Mr. Main Ibad Ali Shahย  distinguished academic and researcher in the field Multi- Agent System.ย 

๐ŸŒ Professional Profile

Educations๐Ÿ“š๐Ÿ“š๐Ÿ“š

He is currently pursuing a Ph.D. in Computer Science with a focus on Reinforcement Learning and AI at the University of Galway, Ireland, which he began in 2022. Prior to this, he earned a Master of Science in Computer Systems Engineering with a specialization in Data Science from the University of Engineering & Technology, Peshawar, Pakistan, between 2018 and 2020. He also holds a Bachelor of Science in Computer Systems Engineering from the same university, completed between 2014 and 2018. His academic journey began with an F.Sc. in Pre-Engineering from Edwards College Peshawar, Pakistan, from 2012 to 2014, and he completed his Matriculation at Edwards College School Peshawar, Pakistan, between 2010 and 2012.

ย Experience:

He is currently serving as a Lab Engineer in the Department of Computer Systems Engineering at the University of Engineering & Technology Peshawar, Pakistan, a role he has held since September 2019. In this capacity, he teaches courses in Data Analytics & Business Intelligence, covering Statistics, Machine Learning, and Deep Learning, as well as Web Engineering. He ensures the practical implementation of case studies using tools and languages such as MS Excel, Tableau, R, Python, and MySQL. Previously, he worked as a Project Engineer at the US-Pakistan Center for Advanced Studies in Energy UET Peshawar, in collaboration with the Pakistan Air Force, from August 2018 to June 2019. There, he led a team in condition monitoring and predictive maintenance of an aircraft using machine learning, conducting data analysis and literature review to identify key variables and develop predictive maintenance techniques. From September 2017 to July 2018, he was an Undergraduate Researcher at the US-Pakistan Center for Advanced Studies in Energy, in collaboration with USAID and Arizona State University, where he led the development of a socio-technical model for distributed sustainable green energy power plants, creating a database and conducting data analysis following social and technical surveys in Pakistan. Additionally, he has gained diverse work experience, including roles as a Visiting Lecturer/Instructor at the Institute of Management Sciences Peshawar, teaching Data Analytics & Business Intelligence with hands-on case studies, and as a Trainer/Instructor at the University of Galway for Computer Programming courses for young students, along with serving as a Graduate Teaching Assistant for undergraduate programming courses. He has also served as a Program Coordinator/Trainer for the National Vocational & Technical Training Commission of Pakistan, managing a program and providing training on Cloud Computing, civic sense, entrepreneurial and soft skills. Furthermore, he has experience in entrepreneurship, having owned and managed Thali Spot Restaurant in Peshawar, Pakistan. His organizational and management skills are demonstrated through his roles as Director of the Literary & Debating Society, PR Executive of the Computer Society at the University of Engineering & Technology Peshawar, and as an Ambassador and Volunteer for the Office of the Local Government in Khyber Pakhtunkhwa Province.

Trainings, Certifications & Conferences

He has earned an IBM Data Engineering Professional Certificate in 2023 and completed the Advanced Business Analytics Specialization on Coursera. He is also a Huawei Certified ICT Associate in AI (HCIA-AI). In 2019, he completed both “The Business Intelligence Analyst Course” and “The Data Science Course 2019 Complete Data Science Bootcamp” on Udemy. He has participated in several conferences, attending the International Conference on Sustainable Energy on September 12-13, 2017, and the 5th International Conference on Energy, Environment, and Sustainable Development in November 2018 as an author. Additionally, he attended the International Science-Policy Conference on Climate Change in Pakistan in 2018. He has furthered his expertise by attending a workshop on “Fundamentals of Deep Learning for Computer Vision” by the NVIDIA Deep Learning Institute. His training credentials include Cisco Certified Network Associate certifications in both Routing & Switching and Security. Moreover, he arranged and attended a hands-on workshop on developments in Reach JS.

Awards

He has been awarded a fully funded Ph.D. scholarship by Science Foundation Ireland for the EIRE AIAI Project, spanning from 2022 to 2026. His academic and research efforts were recognized when he secured the second runner-up position in the Project Poster Competition at the International Conference on Sustainable Energy Technologies held on September 12-13, 2017, in Islamabad, highlighting the concept and quality of his research. He received a grant of 2 million PKR from the Government of KP Pakistan’s Youth Impact Challenge for his startup initiative. Additionally, he achieved runner-up positions in Speed Programming competitions at the I.T Fiesta’15 at UET Peshawar and Code Crunch’16 at IMSciences Peshawar.

Notable Projects

He has undertaken several notable projects, utilizing a diverse set of skills and technologies. His COVID-19 analysis project involved the use of descriptive, predictive, and prescriptive statistics and data analytics, employing tools such as Python, Tableau, Power BI, and Excel. For fault prognostics of hydro power projects, he applied data analytics and machine learning using Python, R, Tableau, and Excel. He worked on condition monitoring and predictive maintenance of a jet aircraft using machine learning techniques with R, Stata, Excel, MATLAB, and Python. He developed a socio-technical mathematical model for sustainable distributed green energy using R, Tableau, and MS Access. In his analysis of the Peshawar Development Authority’s Driver and Road Assessment Project, he compared the architecture, efficiency, ease, and cost of cloud versus on-premise solutions using Amazon Web Services for IoT and data analytics. He also set up and configured a Cisco networking lab in the Department of Computer Systems Engineering at UET Peshawar using Cisco networking technologies. He configured a Linux server for Tesla K40 to apply protein alignment algorithms and data compression (JPEG) on the GPU, utilizing CUDA and Ansible. Additionally, he simulated system process handling on a multicore processor and developed a programming syntax compiler using C language. He created a first-person shooter game with Unity and C#, and completed multiple embedded systems and IoT projects with microcontrollers. Lastly, he developed and designed websites using DBMS, CMS, HTML, CSS, and PHP.

๐Ÿ“๐Ÿ”ฌPublications๐Ÿ“๐Ÿ”ฌ

Nitesh Kumar Mourya – Geography – Best Researcher Award

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Nitesh Kumar Mourya – Geography- Best Researcher Award

Dr. Nitesh Kumar Mouryaย  distinguished academic and researcher in the fieldย Geography. He is a highly skilled GIS and Remote Sensing professional proficient in tools such as ArcGIS Desktop and Pro, ERDAS Imagine, Global Mapper, QGIS, and Google Earth Engine, with a proven track record of achieving a 0.97 Kappa accuracy in Land Use/Land Cover (LULC) classification. Holding a master’s degree in Geography and Diploma in GIS and Remote Sensing, he is motivated to pursue a Ph.D. in Physical, Environmental, Urban, Economical, and Population Geography, contributing to cutting-edge research. His keen observation of natural features, coupled with a deep understanding of geomorphic processes, climate change, human and environment interaction studies, rapid environment change, etc., fuels his development of self-hypotheses and testing those, including insights into plate tectonics. Eager to apply his skills and contribute to advancements in geography, he is equally enthusiastic about securing a corporate role in GIS and Remote Sensing, leveraging his expertise to drive innovation and make meaningful contributions in a professional setting. Never Ever Settle, Eagar to learn, perform, and research.

๐ŸŒ Professional Profile

Educations๐Ÿ“š๐Ÿ“š๐Ÿ“š

He completed his M.A. / M.Sc. in Geography from the University of Rajasthan in December 2020, and his B.A. in Geography, History, and Political Science from the same university in June 2017, achieving 55.7% and 50% marks respectively (with Geography at 58.5%). His expertise lies in Physical Geography. Additionally, he pursued a Computer Hardware Diploma at Statisworld Education in October 2012, where he learned about computer hardware assembling, issue troubleshooting, and hardware replacement. Furthermore, he obtained a Diploma in Computer Application (DCA) from DOS Computer Information Technology, Jaipur (Rajasthan), India in August 2012, gaining proficiency in various computer applications.

Working Experience

โ– GIS-Faculty / Analyst
GeoCatalog โ€“ Institute of Geoinformatics and Research (From June 2021).
โ€ข GIS-Analysist, PhD Consultancy GIS and Remote Sensing earth observation related science, Teaching,
Revenue mapping projects.
โ– GIS-Faculty
Swastik Edustart – (February 2022 to July 2023).
โ€ข Teaching GIS and Remote Sensing, Assist PhD Scholars with GIS-RS techniques research application.
โ€ข Expertise in generating highly accurate Land Use Land Cover with different models and algorithms, change
analysis, and predication.
โ– Internship (Corporate)
Tech Culture (New-Delhi) (3rd August to 3
rd November 2020, been 31 January 2021)
โ€ข Digitizing building footprint and correcting available vector data

Workshops / Conferences

โ– Urban Health Hazard and Preparedness in Global Pandemic COVID-19, National Webinar,
on 2 May 2020.
Department of Geography, Shaheed Bhagat Singh College, University of Delhi (India).
โ– Future cities, Sustainable Development and Geospatial Technologies, National Online Conference, on
24 May 2020.
Department of Studies and Research in Geography, Rani Channamma University, Karnataka (India).
โ€ข Paper presented on, โ€œSpatio-Temporal Analysis of Shoreline Change Along Jagatsinghpur.โ€
โ– The Science of Places: Exploring the Career Goals and Competencies of Future Geographers, Webinar,
on 31 May 2020.
School of Basic and Applied Sciences & Department of Geography, Adam University.
โ– Implication of Covid-19 on local & Regional Sustainable Development: A Global Perspective, International
E-Conference, on 27-28 June 2020.
International Geography Union (IGU) โ€“ INDIA.
โ€ข Paper presented on โ€œUrban Growth Predication Using Geospatial Techniques: A Case Study of
Jaipur, Rajasthan, India.โ€
โ– Earth Resources Management in Current Scenario, One Day Virtual Symposium, on 05 September 2020.
Suresh Gyan Vihar University.
โ– 5th World Congress on Disaster Management, 24-27 November 2021
Indian Institute of Technology, Delhi.
โ€ข Paper presented on โ€œAssessment of Chemicals Hazard and Resilience in an Educational Setup:
Acase study of Jamia Millia Islamia University, India.โ€
โ– LANDSLIDE RISK ASSESSMENT AND MITIGATION IN INDIA, National Conference, on 01-02
November 2022.
Department of Geography, Jamia Millia Islamia, New Delhi
โ€ขPaper presented on โ€œAHP integrated GIS based Landslide Susceptibility Mapping in the
Garhwal Himalayan Region of India.โ€
โ– Building Urban Resilience through Advanced Technology,
Amity University and National Disaster Management
โ€ข Learned about building urban resilience and developing urban green space, improving urban
environment.

RESEARCH INTERESTS

โžข Physical Geography โ€“ Geomorphology (Paleo-Tectonics, ground water depletion impact on land use,
Coastal Environment, Climate Change, Palaeo-climate, Micro-Climate, Air Quality and Pollution,
Heat Waves, Tropical Cyclones โ€“ survival time on land surface and sea surface temperature
correlation with cyclone intensity, Global Worming in Mountainous Region.
โžข Urban Geography โ€“ Urban expansion among developed and under develop countries, Urban
Environment Change, Urban Climate Change in Mountainous and Non-mountainous cities, Urban
HeatIsland, Heat Waves impact.
โžข Population Geography โ€“ Agriculture development in context of increasing population technical
calculation on Marxian theory, Increase Population and food availability in future, Population of Indian is
higher as per availability of resources.
โžข Environment or Environmental Geography โ€“ Deforestation and Carbon Sequestration, Environment
Protection and Urban Ecology, Ozone Depletion.
โžข GIS and Remote Sensing โ€“ Machine Learning based model application in Earth Observation or
Geography, Calculating Efficiency of Machine Learning model, LULC change and Prediction, Actual
LULC extraction on behalf of reflectance energy or ground truthing, Flood and other Disaster Studies
through SAR data application, GIS and RS application in Geospatial Research.

๐Ÿ“๐Ÿ”ฌPublications๐Ÿ“๐Ÿ”ฌ

โžข Land Use/ Land Cover Dynamics Study and Prediction In Jaipur City using CA Markov Model Integrated
with Road Network, Published at GeoJournal, DOI: 10.1007/s10708-022-10593-9.
โžข Forest carbon sequestration mapping and economic quantification infusing MLPnn-Markov chain and
InVEST carbon model in Askot Wildlife Sanctuary, Western Himalaya, Published at Ecological
Informatics, DOI: 10.1016/j.ecoinf.2023.102428 (doi.org).
โžข Evaluation of Shoreline Alteration Along the Jagatsinghpur District Coast, India (1990-2020) Using Dsas,
SSRN Electronic Journal (DOI: doi.org). (Under Revision at Ocean and Coastal Management).
โžข Assessment of Chemicals Hazard and Resilience in an Educational Setup: A case study of Jamia Millia
Islamia University, India, Accepted at Indian Journal of Environmental Protection.
โžข Evaluating the Efficiency of ML based LULC Prediction Models (CA Markov and MOLUSCE),
submitted to Technological Forecasting & Social Change.

Hemamalini Rawindran – Life Cycle Analysis Award – Best Researcher Award

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Hemamalini Rawindran – Life Cycle Analysis Award – Best Researcher Award

Dr. Hemamalini Rawindran distinguished academic and researcher in the field Life Cycle Analysis. As a Research Officer at Universiti Teknologi PETRONAS in 2023, she was primarily engaged in a project funded by Yayasan UTP focused on analyzing the nutritional values of protein-rich microalgae-palm kernel expeller bio-composite feeds. Additionally, she conducted Life Cycle Assessment (LCA) studies pertaining to membrane utilization for remediating microalgal wastewater and the upcycling of microplastics in marine environments.

Transitioning to her role as a Postdoctoral Research Fellow at Universiti Teknologi Malaysia from September 2023 to the present, she has been actively involved in a HiCoE project grant. Her responsibilities include the development of a solid matrix polymer inclusion membrane, where she is tasked with creating a mathematical model to evaluate electrodriven ion flux into the membrane. Moreover, she conducts sustainable metric analyses on the polymer inclusion membrane and assesses ion migration using a dual casting solution approach. In addition to her research duties, she is also involved in reviewing technical papers and converting findings into coherent paragraphs for publication.

 

๐ŸŒ Professional Profiles

Educations๐Ÿ“š๐Ÿ“š๐Ÿ“š

She holds a PhD in Science by Research (Grade A) from Universiti Teknologi PETRONAS, completed between 2020 and 2023, which was funded by the prestigious HiCoE grant focusing on the thermochemical conversion of biomass. During her doctoral studies, she notably contributed to the development of a novel attached microalgal system and spent three months on a Fellowship under AMTEC at UTM. She demonstrated remarkable productivity by authoring 7 papers and co-authoring 20 papers. Additionally, she supervised 7 Final Year Project (FYP) students, resulting in 3 Q1 and 1 Q2 publications. Furthermore, she actively participated in educational activities, conducting laboratory sessions and tutorials for undergraduate (UG) students. She also provided assistance to UG students in virtual reality and augmented reality STEM-based classes, showcasing her commitment to fostering learning environments. Her academic excellence was recognized with the High Achiever Award and Graduate on Time (GOT) award.

Prior to her doctoral studies, she completed her Master’s in Science by Research (Grade B) at Universiti Teknologi PETRONAS from 2016 to 2019. This program, funded by a PETRONAS Research grant, focused on the elimination of surfactants in produced water from Enhanced Oil Recovery. During this time, she authored 2 papers and gained valuable experience through conducting laboratory and tutorial sessions for foundation students. She also spent one year on attachment at AMTEC, UTM, focusing on membrane development.

Her academic journey began with a Bachelor’s degree in Chemistry and Biology from Tunku Abdul Rahman College / Campbell University, USA, which she completed from 2011 to 2014. Her Final Year Project (FYP) explored the effect of carbonated beverages on human tooth density, and she graduated with Second Upper Class honors.

Research Colloborations

She has actively engaged in various collaborations with prestigious institutions such as the University of Tasmania (UTas), Australia, Petronas Research Sdn Bhd, Aston University, UK, and AMTEC at UTM. Notably, her collaborative efforts have led to significant contributions in several areas.

One of her notable achievements includes the development of a polymer inclusion membrane using a dual-solution casting approach, aimed at enhancing membrane technology. Additionally, she conducted a comprehensive review on the environmental sustainability aspects, focusing on the greenness of polymer inclusion membranes.

Moreover, she demonstrated her commitment to sustainability by repurposing spent coffee grounds for cultivating attached microalgae, as highlighted in Aston University’s bulletin. This innovative approach garnered attention for its eco-friendly application.

Her research findings have been published in high-impact journals, including a notable publication in a Q1 journal with an Impact Factor (IF) of 15.9 (RSER) in 2017-2018, focusing on the development of PVDF-TiO2 membrane for treating oil and gas surfactant-rich wastewater. Additionally, her work during a three-month fellowship in 2021 resulted in publications in two journals: one with a Q2 IF of 2.6 (Molecular Biotechnology) and another with a Q1 IF of 8.9 (Environmental Research), focusing on the development of a PET membrane from waste drinking bottles for treating microalgal harvested wastewater.

Furthermore, she successfully completed a mini-project funded by Petronas Research Sdn Bhd (PRSB), where she developed a membrane validation method for Petronas surfactants using HPLC. This endeavor resulted in the development of a membrane capable of treating surfactant-rich produced water with an impressive 98% rejection rate, as published in a Q1 journal with an IF of 11.1 (JCP).

Throughout her collaborations and individual projects, she has consistently demonstrated her expertise and dedication to advancing sustainable membrane technologies and addressing environmental challenges in various industrial sectors.

๐Ÿ“๐Ÿ”ฌPublications๐Ÿ“๐Ÿ”ฌ

Erfan Shojaei Barjuei – Automated planning and scheduling Award – Top Researcher Award

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Erfan Shojaei Barjuei – Automated planning and scheduling Award – Top Researcher Award

Dr. Erfan Shojaei Barjuei distinguished academic and researcher in the fieldย  Automated Planning and Scheduling. Throughout my career journey, I’ve traversed diverse roles and geographical locations, accumulating a wealth of experience in research and engineering. From delving into the intricacies of mechatronics engineering at institutions like the Italian Institute of Technology and the Sant’Anna School of Advanced Studies in Italy, to contributing to cutting-edge research in mechanical and automation engineering at the National Institute of Applied Sciences in France, I’ve always been driven by a passion for innovation and problem-solving.

My academic pursuits have taken me across borders, from pursuing a research fellowship in robotics and artificial intelligence at Sapienza University of Rome to my current role as a postdoctoral researcher in mechanical and manufacturing engineering at the University of Calgary in Canada. These experiences have not only deepened my understanding of the field but also honed my skills in tackling complex challenges and pushing the boundaries of technological advancement.

In addition to my academic endeavors, I’ve also had the opportunity to apply my expertise in industry settings. As a part-time mechatronics engineering consultant at Halo Beauty in the USA, I provided valuable insights and solutions, leveraging my expertise to contribute to the company’s projects. Currently, as a product software engineer at Cure Data in the USA, I am engaged in developing software products with a focus on data analysis, leveraging my diverse background to drive innovation and deliver impactful solutions.

My journey has been characterized by a relentless pursuit of knowledge and a commitment to excellence, and I look forward to continuing to contribute to the forefront of research and innovation in the years to come.

๐ŸŒ Professional Profiles

Educations๐Ÿ“š๐Ÿ“š๐Ÿ“š

He pursued his academic journey with zeal and dedication, starting with a Bachelor of Science in Electrical Engineering from Azad University in Iran, where he laid the foundation for his future endeavors. Building upon this strong base, he pursued a Master of Science in Mechatronics Engineering at Sharif University of Technology in Iran from 2006 to 2008, delving into the interdisciplinary realm of engineering. Eager to deepen his knowledge further, he embarked on a PhD in Industrial and Information Engineering with a focus on Mechatronics Curricula at the University of Udine in Italy from 2013 to 2016, where he honed his research skills and expertise. Continuing his pursuit of academic excellence, he completed a Master of Science in Computer Engineering with a specialization in Human-Computer Interaction & Artificial Intelligence Curricula at the University of Genoa in Italy from 2018 to 2022, further broadening his horizons and enhancing his proficiency in cutting-edge technologies. Through his academic endeavors, he has demonstrated a relentless commitment to learning and growth, equipping himself with the knowledge and skills to thrive in the ever-evolving field of engineering and technology.

RESEARCH INTERN

During his time as a research intern at Karlstad University in Sweden from August 2015 to December 2015, he immersed himself in the field of assistive robotics. Focused on the design of a human-friendly walking assist robot vehicle, he dedicated his efforts to refining control systems and variable stiffness mechanisms. Through his internship, he gained valuable hands-on experience in the development of innovative solutions aimed at enhancing mobility and accessibility. His contributions during this period underscored his commitment to leveraging technology for the betterment of society, particularly in improving the quality of life for individuals with mobility impairments.

 

He has a keen interest in a wide array of research areas within the realm of engineering and technology. His primary focus lies in robotics and mechatronic systems, where he explores the intricate dynamics and control mechanisms governing these complex systems. With a passion for advancing the field, he dedicates his efforts to refining models and control algorithms to optimize the performance of mechatronic systems. Additionally, he delves into the realm of artificial intelligence, leveraging cutting-edge techniques to enhance the capabilities of autonomous systems and intelligent agents. His research also extends to advanced manufacturing, where he explores innovative approaches to streamline production processes and improve efficiency. Furthermore, he is fascinated by the potential of vision systems in industrial automation, investigating novel techniques to enhance perception and decision-making capabilities in automated systems. Through his research endeavors, he continually seeks to push the boundaries of engineering innovation and contribute to the development of transformative technologies.

INDUSTRIAL PROJECTS

In his current role at Cure Data in the USA from February 2024 to the present, he collaborates closely with a multidisciplinary R&D team comprising engineers, scientists, and physicians. Together, they are dedicated to the development of an extensive digital twin, a digital replica used for modeling and simulating human organs. His contributions to this project involve leveraging his expertise in various fields to enhance the accuracy and functionality of the digital twin, aiming to revolutionize medical research and treatment approaches.

During his tenure at Halo Beauty in the USA from September 2023 to December 2023, he played a pivotal role in developing core aspects of control and electrical engineering, as well as a vision system for an automated hair braider. Working in tandem with a mechanical engineering team, he focused on refining the end-effector, sensor-based controls, and retraction systems. His collaborative efforts ensured the seamless integration of electrical and control components, optimizing the performance and efficiency of the automated hair braider.

AWARDS AND HONORS

Throughout his career, he has garnered recognition for his outstanding achievements and contributions to the field of engineering. Notably, in September 2019, he received the Best Conference Paper Award at the IEEE International Conference on Cyborg and Bionic Systems (CBS 2019) held in Munich, Germany, showcasing his excellence in academic research and innovation. His dedication to excellence was further acknowledged with an Internship Fellowship at Karlstad University in Sweden from August 2015 to December 2015, providing him with valuable practical experience in the field.

In March 2015, he was honored with the NI (National Instruments) Engineering Impact Awards 2015 for Best Application in Advanced Research, recognizing his significant contributions to the advancement of engineering technologies. This accolade was bestowed upon him during NIDays 2015 in Milan, Italy, highlighting his innovative approaches and impactful research endeavors.

Additionally, he was awarded a Winter School Scholarship in February 2015 to attend the SAPHARI NMMI Winter School in Rome, Italy, demonstrating his commitment to continuous learning and professional development. His academic prowess was evident during his master’s studies, as he successfully completed the Master’s Degree Honors Program at Sharif University of Technology in Iran in July 2008, attesting to his exceptional academic performance and dedication to scholarly pursuits.

Moreover, his leadership abilities and accomplishments were recognized early in his career when he received a Travel Grant in November 2003 for his successful leadership of the executive team in the National Robotic Race of Intelligent Devices at Azad University in Iran, underscoring his capability to excel in both academic and practical domains, as well as his adeptness in leading collaborative endeavors.

๐Ÿ“๐Ÿ”ฌPublications๐Ÿ“๐Ÿ”ฌ
  • Meghdari.A, Mirfakhree.F, Akrami.S.M, Shojaei Barjuei.E
    Introduction to Robotics: Mechanics and Control (By: Craig.J.J)
    Third Edition, Sharif University Press, Iran, 2009 (ISBN: 978โ€964โ€208-019โ€9)
  • Akrami.S.M, Shojaei Barjuei.E
    Mechatronics: Dynamics of Electromechanical and Piezoelectric Systems (By:Preumont.A)
    Fan Afzar press, Tabriz, Iran, 2009 (ISBN: 978-964-8150-24-9).
  • Shojaei Barjuei.E, Shin. J, Kim. K, Lee. J
    Precision improvement of robotic bioprinting via vision-based tool path compensation
    Accepted in Scientific Reports.
  • Shojaei Barjuei.E, Capitanelli.A, Bertolucci.R, Courteille.E, Mastrogiovanni.F, Maratea.M
    Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing
    Based on Artificial Intelligence Planning
    Engineering Applications of Artificial Intelligence, vol. 133, p. 108254, 2024.
  • Shojaei Barjuei.E, Courteille.E, Rangeard.D, Marie.F, Perrot.A
    Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D
    printing applications
    Advances in Industrial and Manufacturing Engineering (2022): 100094.
  • Bianchi.F, Masaracchia.A, Damone.A, Falotico.F, Shojaei Barjuei.E, Oddo.C, Dario.P, Ciuti.G
    Hybrid 6-DoFs magnetic localization for robotic capsule endoscopes compatible with high-grade
    magnetic field navigation
    IEEE Access 10 (2021): 4414-4430.
  • Shojaei Barjuei.E, Darwin.G.C, Ortiz.J
    Bond Graph Modeling and Kalman Filter Observer Design for a Back-Support Exoskeleton
    Designs 4.4 (2020): 53.
  • Shojaei Barjuei.E, Ortiz.J
    A Comprehensive performance comparison of Linear Quadratic Regulator (LQR) controller, Model
    Predictive Controller (MPC), Hโˆž loop shaping and ฮผ-synthesis on spatial compliant linkmanipulators
    International Journal of Dynamics and Control 9 (2021): 121-140.
  • Bianchi.F, Masaracchia.A, Shojaei Barjuei.E, Menciassi.A, Arezzo.A, Koulaouzidis.A, Stoyanov.D,
    Oddo.C, Dario.P, Ciuti.G
    Localization strategies for robotic endoscopic capsules: a review
    Expert review of medical devices 16.5 (2019): 381-403.
  • Li.J, Shojaei Barjuei.E, Ciuti.G, Hao.Y, Zhang.P, Shi.Q, Menciassi.A, Huang.Q, Dario.P
    Magnetically-driven medical robots: an analytical magnetic model for endoscopic capsules design
    Journal of Magnetism and Magnetic Materials 452 (2018): 278-287.
  • Shojaei Barjuei.E
    Hybrid position/force control of a spatial compliant mechanism
    International Journal of Automotive and Mechanical Engineering, ISSN: 2229-8649 (Print); ISSN:
    2180-1606 (Online); Volume 14, Issue 3 pp. 4531-4541 September 2017
  • Shojaei Barjuei.E, Boscariol.P, Gasparetto.A, Vidoni.R
    Robust control of Three-Dimensional Compliant Mechanisms
    Journal of Dynamic Systems, Measurement & Control, 2016, 138, 101009-1-14.
  • Abdolshah.S, Shojaei Barjuei.E
    Linear Quadratic Optimal Control of Cable-Driven Parallel Robots
    Journal of Frontiers of Mechanical Engineering, FME-15038-AS, vol.10, no. 4, pp. 344โ€“351, 2015

Yu-Te Tu – Sustainable Management – Best Researcher Award

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Yu-Te Tu – Sustainable Management – Best Researcher Award

Assoc Prof Dr. Yu-Te Tuย  distinguished academic and researcher in the fieldย  Sustainable Management. Presently, he serves as an Associate Professor in the Department of Business Administration at Chihlee University of Technology since August 2016. Additionally, he holds part-time roles as Director in the Division of International and Cross-Strait Affairs at Chihlee University of Technology since February 2024, Consultant at China Straits Political, Economic and Cultural Exchange Association since January 2018, and Business Consultant at Gulf International Law Firm since September 2011.

๐ŸŒ Professional Profiles

Educations๐Ÿ“š๐Ÿ“š๐Ÿ“š

He holds a Ph.D. in Corporate & Organization Management from Lynn University (FL, USA), which he pursued from September 2003 to December 2007. Prior to his doctoral studies, he earned an MBA from Long Island University (NY, USA) in Management, completing it from September 1996 to August 1997. He has been recognized by the Ministry of Education with several qualifications, including Associate Professor (No. 140985) since February 2015, Assistant Professor (No. 022877) since February 2008, and Lecturer (No. 055146) since September 1998.

โžข Research interests:

1. Sustainable management
2. Business communication and negotiation
3. Marketing Management

International Journal Editor/Reviewer

He has been serving as an editorial board member for several international journals, including the Science Journal of Business and Management (USA) since May 2018 and SAMANM Group of Research Publications (USA) since May 2013. Additionally, he contributes as a reviewer for esteemed publications such as Environmental Science and Pollution Research (SCIE) since June 2018, Chinese Management Studies (SSCI) since August 2023, and the Journal of Psychology and Psychotherapy Research since October 2018. His expertise extends to various domains, as evidenced by his role as a reviewer for the International Review of Retail, Distribution, and Consumer Research (England) since June 2013 and the International Journal of Business and Marketing Management since December 2013. He also actively participates as a reviewer for SCIENCEDOMAIN international (USA) since January 2014. On the domestic front, he continues to contribute as a reviewer for journals like the Journal of Living Industry Research since January 2013 and the Journal of Life Application and Management since January 2015. Previously, he held positions as an editor and reviewer for Chongyou Journal from August 2009 to July 2012 and served as a reviewer for Yushan General Knowledge Collection from December 2014 to December 2016.

 

๐Ÿ“๐Ÿ”ฌPublications๐Ÿ“๐Ÿ”ฌ

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

๐ŸŒ Professional Profiles

Educations: ๐Ÿ“š๐ŸŽ“

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

๐Ÿ“šTop Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224