Mr. Jemal Muhammed l Mathematical modeling | Best Researcher Award | 2047

Mr. Jemal Muhammed | Mathematical modeling | Best Researcher Award

 Mr.Adama Science and Technology University, Ethiopia

Mr. Jemal Muhammedis a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Orcid profile

google scholar

👨‍⚕️ Employment History

👨‍⚕️ Dr. Sun is a seasoned expert in occupational epidemiology, specializing in epidemiological methods, exposure assessment, and quantitative risk evaluation. As a senior epidemiologist and consultant at the German Social Accident Insurance (DGUV), his primary focus lies in regulatory risk assessment related to work-induced hazards, defining and recognizing occupational diseases based on evidence, and evaluating research applications from universities, along with final reports of diverse research projects. He also contributes as a peer reviewer for prominent international journals such as OEM, European Journal of Epidemiology, and International Archives of Occupational and Environmental Health, among others.

🔬 Dr. Sun’s extensive involvement spans multiple research projects, including clinical epidemiology studies on osteoarthritis of the hip and knee, identifying prognostic factors for age-related macular degeneration, and investigating the implications of EGFR-genotypes in breast cancer etiology. His research also encompasses historical cohort studies on cancer risk among workers in the German rubber industry, assessing the impact of exposure to synthetic amorphous silica on chronic respiratory health, and studying asthma and allergy occurrences among workers exposed to acid anhydrides. Additionally, his work extends to evaluating the effectiveness of lung cancer screening among radon-exposed workers, studying low back pain epidemiology, and conducting nested case-control studies among dust-exposed workers in China, among other diverse projects.

💼 Dr. Sun’s professional trajectory spans several pivotal roles:

Present: Section of “Applied Epidemiology” at the Institute of Occupational Safety and Health (BGIA) of the German Social Accident Insurance

1997 – 2002: University of Münster, Institute of Epidemiology and Social Medicine

1995 – 1997: University of Ulm, Department of Epidemiology

1988 – 1990: Beijing Quarantine Service, China

🎓 Education

1991 – 1994: University of Essen, Doctor of Medicine (MD)

1982 – 1988: Beijing University, Medical Division, Bachelor of Preventive Medicine (Public Health)

🗨️ Languages

Chinese: Mother tongue

German: Fluent (written and spoken)

English: Fluent (written and spoken)

 

📖 Publications  Top Note :

Within-host mathematical model of malaria parasite with cell-mediated and antibody-mediated immune systems  paper publication in 2023

A Cell-Level Dynamical Model for Malaria Parasite Infection with Antimalarial Drug Treatment

Mr. Emanuele Buchicchio l measurement | Best Researcher Award

Mr. Emanuele Buchicchio | measurement | Best Researcher Award

PHD at  University of Perugia, Italy

Mr. Emanuele Buchicchio Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

Orcid profile

Google scholar

Researchgate

Professional 

I’m an Italian software engineer and Ph.D. student with a great passion for science and technology. My experience spans across various software projects and products, and my interests revolve around software development, machine learning, deep learning, cloud computing, DevOps, cybersecurity, IoT, and software quality metrics.

My career includes technical and managerial roles in multinational companies in electronics and fashion sectors. Holding an MBA since November 2011, I ventured into Smartpeg in July 2016, focusing on Industrial IoT, AI, and ML projects. I’m currently the Chief Technology Officer (CTO) and Chief Information Security Officer (CISO), concentrating on AI-powered solutions for human resource management.

Main Skills

I specialize in web application design, .Net/Core, C#, Java, Typescript, Angular, Python, Industrial IoT, Embedded Systems, machine learning, cybersecurity, ISO 27001, Cloud (Microsoft Azure, Google Cloud), Agile methodologies, software quality metrics, and GDPR compliance.

Language Proficiency

French: A1

English: C1

Work Experience

PhD Student (Since Nov. 2020): University of Perugia, focusing on machine learning-based measurement tools. Chief Technology Officer (Since July 2016): Smartpeg srl – Perugia, involved in web app design, development, and AI-powered solutions. Senior Software Developer (June 2014 – July 2016): Pegaso200 srl – Corciano, worked on web applications, web services, and single-page applications. Consultant / Software Developer (Feb. 2011- Jun. 2014): Gianos Consulting S.r.l. – Orvieto, involved in web and mobile app development, CRM solutions. Product Manager (Oct. 2008 – Jan. 2011): Eles Semiconductor Equipment – Todi, managed software products and documentation. Software Engineer (Jan. 2007 – Oct. 2008): Eles Semiconductor Equipment – Todi, involved in software development and quality management.

Education and Training

PhD Winter/summer Schools: Attended various ML and AI-focused programs. Azure Cloud Fundamentals, AI Product Manager Nanodegree, Microsoft Professional Programs for Data Science. MBA (Jun. 2010 – Nov. 2011) and Engineering Degrees (2004 – 2006) from the University of Perugia. High school degree (1995 – 2000) from Liceo Statale Jacopone da Todi, Todi (PG).

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 94, Since 2018 – 94
  • h-index: All – 5, Since 2018 – 5
  • i10 index: All – 4, Since 2018 – 4

 

📖 Publications  Top Note :

Uncertainty characterization of a practical system for broadband measurement of battery EIS  paper publication in 2022 cite by 28

Gesture recognition of sign language alphabet using a magnetic positioning system   paper publication in 2021 cite by 18

Practical broadband measurement of battery EIS  paper publication in 2016 cite by 21

Dataset on broadband electrochemical impedance spectroscopy of Lithium-Ion batteries for different values of the state-of-charge     paper publication in 2022 cite by 11

EasyEIS: A software tool to perform electrochemical impedance spectroscopy using a source measure unit     paper publication in 2022 cite by 5

Battery SOC estimation from EIS data based on machine learning and equivalent circuit model    paper publication in 2023 cite by 4

LiBEIS: A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries   paper publication in 2022 cite by 4

Dr. Pankaj Dhatrak l Biomedical Engineering

Dr. Pankaj Dhatrak | Leading Researcher in Biomedical Engineering

Dr. Pankaj Dhatrak Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

🎓 Education

  • Ph.D. in Mechanical Engineering from Savitribai Phule Pune University, focusing on Dental Implant Stress Distribution.

💼 Professional Experience

Associate Professor at Dr. Vishwanath Karad MI World Peace University, Pune, guiding UG/PG students in Biomedical Engineering and more.

Assistant Professor at Dr. Vishwanath Karad MIT World Peace University, specializing in Finite Element Analysis and other engineering disciplines.

Worked as a Sr. Executive at ALD Fleetguard Filters Pvt. Ltd., overseeing Automotive Filter Projects.

Senior CAE Engineer at In-finite Solutions Pvt. Ltd., leading Automotive Component Analysis Projects.

Conducted lectures as a Lecturer at MAEER’S MIT Pune and Indian Institute of Aeronautical Engineering & IT.

🧪 Notable Projects

Conducted analyses like Strength & Durability of Sunshade mounting assembly and Frequency Response of filter head assembly. Held a South African Patent for “Wheelchair with a Transfer Assist Function” and an Indian Patent for “Vehicle User Authentication and Authorization System.”

💰 Funded Projects

Managed projects like “Stress Analysis and Experimental Photoelasticity Investigation of Threaded Dental Implants-Bone Interface” and “Design and Development of indigenous stability measurement device.”

🏆 Awards and Scholarships

Earned “Best Paper Award” at an International Conference on Mechanical, Material, and Manufacturing Technology.

Recognized with the “Third prize for the best Paper” at the National Conference on “Computer Aided Engineering Analysis of Auto Parts.”

🔍 Professional Activities

Engaged as a reviewer for various esteemed journals and conferences. Participated as a Technical Committee Member in significant international conferences.

🤝 Professional Memberships

Active involvement in the Society of Automotive Engineers India and the Indian Society for Technical Education.

💻 Technical Skills

Proficient in various CAE Software and Tools including Abaqus, Hypermesh, Ansys, and MATLAB.

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 709, Since 2018 – 705
  • h-index: All – 12, Since 2018 – 12
  • i10 index: All – 14, Since 2018 – 14
📖 Publications  Top Note :

Dr. Lorena Giordano l Renewable energy systems

Dr. Lorena Giordano | Leading Researcher in Renewable energy systems

Congratulations,Dr. Lorena Giordano on winning the esteemed Best Paper Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr. Lorena Giordano Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

 

Post-doctoral researcher at the Department of Industrial and Information Engineering and Economics (2011-2014). Her research focused on renewable energy islands with hydrogen storage, thermo-economic optimization of heat recovery steam generators in steam-gas combined cycles, and integrating carbon capture technologies in fossil fuel power plants.

Post-doctoral researcher at Laboratoire Réactions et Génie des Procédés (Nancy, France) from 2015 to 2017. Here, she contributed to the EU-FP7 M4CO2 project, conducting technoeconomic evaluations and life cycle analyses of membrane systems for post-combustion capture of CO2, exploring innovative membrane processes for CO2 removal.

In 2018, she was a post-doctoral researcher in the Chemical Engineering Department at Delft University of Technology, focusing on the conceptual design of pre and post-combustion CO2 capture systems using advanced mixed matrix membranes within the European H2020 project MEMBER.

Her current research activities revolve around modeling and optimizing renewable polygeneration systems and conducting techno-economic assessments of waste heat recovery from industrial processes. Lorena Giordano’s expertise lies in sustainable energy solutions, particularly in the realm of carbon capture and renewable energy technologies.

 

📖 Publications  Top Note :

Design of a database of case studies and technologies to increase the diffusion of low-temperature waste heat recovery in the industrial sector paper published in 2013 cite by 21

Regenerative gas turbines and steam injection for repowering combined cycle power plants: Design and part-load performance paper published in 2022

Towards the synthesis of greener membranes: Interest of PVA as porous support for membrane application in gas and liquid separations paper published in 2022

 

Dr Shou Feng | Image processing

Dr. Shou Feng |Leading Researcher in Image processing

Congratulations,Dr Shou Feng on winning the esteemed Young Scientist Award  from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Shou Feng Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:
👨‍🏫 Work Experience

Associate Professor

Harbin Engineering University, China (Oct. 2019 – Present)

College of Information and Communication Engineering

Postdoc

Harbin Engineering University, China (Sep. 2019 – Dec. 2021)

College of Information and Communication Engineering

📚 Education
  • Ph.D. in Information and Communication Engineering
    • Harbin Institute of Technology, China (Sep. 2012 – Jul. 2019)
📖 Publications TOP NOTE

Hyperspectral Image Classification with Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning paper published in 27 June 2023

A Coarse-to-Fine Semisupervised Learning Method Based on Superpixel Graph and Breaking-Tie Sampling for Hyperspectral Image Classification paper published in 20 July 2023

A Cross-Modality Feature Transfer Method for Target Detection in SAR Images paper published in  03 August 2023

TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking paper published in 17 February 2023