Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

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Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award 

Dr. DAVIDE BRIVIO, BWH, United States

Dr. Davide Brivio is an accomplished physicist specializing in radiation oncology physics. Born in Carate Brianza (MB), Italy, he embarked on his academic journey at the Università degli Studi di Milano (University of Milan), where he earned his B.Sc. in Physics in 2006, followed by an M.Sc. in Physics in 2008 under the guidance of advisors Nicola Piovella and Robin Kaiser. He further advanced his expertise by obtaining a Ph.D. in Physics in 2012, mentored by Dr. Cialdi Simone. After completing his Ph.D., Dr. Brivio pursued postdoctoral training at Brigham and Women’s Hospital, Harvard Medical School, where he served as a Post-Doctoral Fellow in Radiation Oncology Physics from 2013 to 2019 under the supervision of Dr. Piotr Zygmanski. His dedication to the field led him to complete a Medical Physics Residency in Radiation Oncology Physics from 2019 to 2022, directed by Dr. Yulia Lyatskaya, with Dr. Zygmanski as his research advisor.

 

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Davide Brivio has an extensive and impressive academic and professional background, which makes him a strong candidate for the Best Researcher Award at the Faculty of Medicine of Harvard University. Below are the key points that highlight his qualifications:

Education:

  • 2006: B.Sc. Physics, Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2008: M.Sc. Physics (Advisors: Nicola Piovella, Robin Kaiser), Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2012: Ph.D. Physics (Advisor: Dr. Cialdi Simone), Università degli Studi di Milano (University of Milan), Milan (MI), Italy

Postdoctoral Training:

  • 2013-2019: Post-Doctoral Fellow in Radiation Oncology Physics (Advisor: Dr. Piotr Zygmanski), Brigham and Women’s Hospital, Harvard Medical School
  • 2019-2022: Medical Physics Resident in Radiation Oncology Physics (Director: Dr. Yulia Lyatskaya, Research Advisor: Dr. Piotr Zygmanski), Harvard Medical School, Boston, MA

Faculty Academic Appointments:

  • 07/2022-present: Instructor in Radiation Oncology (Physics), Harvard Medical School

Appointments at Hospitals/Affiliated Institutions:

  • 07/2022-present: Clinical Physicist in Radiation Oncology (Physics), Brigham and Women’s Hospital, Boston, MA

Major Administrative Leadership Positions:

  • 2021-2022: Senior Resident, Medical Physics Residency (year-round), Harvard Medical School

Committee Service:

  • National:
    • 2022-present: Invited Abstract Evaluation Committee for AAPM Annual Meeting, American Association of Physicists in Medicine
    • 2023-present: Physics PhD Steering Committee, Università degli Studi di Milano, Italy (Milan University)
  • Local:
    • 2024: MGB Technology Evaluation Committee, MGB
    • 2024: Master Thesis Committee, UML

Professional Societies:

  • 2015-present: Member, American Association of Physicists in Medicine
  • 2015-present: Member, New England Chapter of the American Association of Physicists in Medicine
  • 2019-2023: Member, Radiological Society of North America (RSNA)
  • 2023-present: Member, American Brachytherapy Society (ABS)

Editorial Activities:

  • Ad hoc Reviewer for:
    • Medical Physics
    • Physics in Medicine and Biology
    • International Journal of Radiation OncologyBiologyPhysics
    • Physica Medica
    • Radiation Research

Publication top Notes:

Remote sensing of high energy particle currents (HEC): towards HEC radiography

X-ray Induced Electric Currents in Anodized Ta2O5: Towards a Large-Area Thin-Film Sensor

Radioactive source localization employing resistive electrode array (REA) detector

Resistive electrode array (REA) for radiotherapy beam monitoring and quality assurance

Remote sensing array (RSA) for linac beam monitoring

Gold nanoparticle detection and quantification in therapeutic MV beams via pair production

Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award

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Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award 

Mr. Muhammad Zunnurain Hussain, Bahria University Lahore Campus, Pakistan

Muhammad Zunnurain Hussain, based in Lahore District, Punjab, Pakistan, is a distinguished Network & Security specialist with extensive experience spanning advisory, client development, management, and technology consulting. He holds a Doctor of Philosophy in IoT Security from Universiti Putra Malaysia, where his research focused on Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning, achieving a commendable CGPA of 3.667. Prior to this, he completed his Master of Sciences in Computer Networking from the University of Bedfordshire, United Kingdom, and a Bachelor of Science in Telecommunication Engineering from the University of Management & Technology, Lahore, Pakistan. Currently serving as an Assistant Professor at Bahria University Lahore Campus, Muhammad oversees various computer science courses and actively contributes to curriculum development and project supervision. He also holds leadership roles as Cluster Head for ADP CS and FYP Coordinator at Bahria University, Lahore, and serves as Director at RGP Global IT, Chief Technology Officer at RedEX Gaming Studio, and as Visiting Faculty at Information Technology University and Ripah International University Lahore.

Professional Profile:

GOOGLE SCHOLAR

 

📚 Education:
  • Ph.D. in IoT Security, Universiti Putra Malaysia (2020-2024)
  • M.Sc. in Computer Networking, University of Bedfordshire, United Kingdom (2012-2014)
  • B.Sc. in Telecommunication Engineering, University of Management & Technology, Lahore, Pakistan (2006-2011)

🔬 Research Experience:

Extensive background in Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning.

🎓 Teaching Experience:

Assistant Professor at Bahria University Lahore Campus (Jul 2019 – Present), delivering lectures on various computer science courses, supervising final year projects, and leading curriculum revision committees.

💼 Professional Experience:

  • Cluster Head – ADP CS & FYP Coordinator, Bahria University Lahore Campus (May 2023 – Present)
  • Director, RGP Global IT (Jul 2023 – Present)
  • Chief Technology Officer, RedEX Gaming Studio (Sep 2023 – Present)
  • Visiting Faculty, Information Technology University (Aug 2022 – Present)
  • Visiting Faculty Member, Ripah International University Lahore (Jan 2019 – Present)

🏆 Awards, Honors, and Grants:

  • Best Paper Award, ACM Singapore (Jul 2021)
  • Second Position, HSSC Final Exam, Garrison Science Degree College for Boys (Jul 2005)

👨‍🏫 Leadership Positions:

  • Cluster Head – ADP CS, Bahria University Lahore Campus
  • Coordinator for FYP-BSIT Programme, Bahria University Lahore Campus
  • Branch Counsellor for Google Developer Student Club

👥 Professional Memberships:

  • Senior Member, IEEE (since 2010)
  • Professional ACM membership (since 2010)
  • Student Member, ICST, British Computer Society, IAENG, IET (since 2010)

Publication top Notes:

Ultrasonically derived WSe2 nanostructure embedded MXene hybrid composites for supercapacitors and hydrogen evolution reactions

CITED: 47

NIR self-powered photodetection and gate tunable rectification behavior in 2D GeSe/MoSe2 heterojunction diode

CITED: 46

Asymmetric electrode incorporated 2D GeSe for self-biased and efficient photodetection

CITED: 42

Efficient cloud data confidentiality for DaaS

CITED: 37

Thickness-dependent monochalcogenide GeSe-based CBRAM for memory and artificial electronic synapses

CITED: 30

 

Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher Award

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Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher Award 

Mr. Mohammad Ahmadi, University of Auckland, New Zealand

Ted Ahmadi is a seasoned game developer based in Toronto, with a strong focus on designing Mixed/Augmented/Virtual Reality (MR/AR/VR) games using Unity3D and C#. With over 6 years of experience, he is proficient in utilizing the Microsoft Mixed Augmented Reality Toolkit (MRTK) and has expertise in designing Mixed Reality games for platforms such as Magic Leap, Vive/Vive Pro Eye, Oculus Quest/Quest 2&3/Quest Pro, HP Omnicept, Hololens 2, and Apple Vision Pro. Ted’s career spans across various aspects of game development, including 2D game design for Android using Unity3D, game networking with Photon and Ubiq, and integrating technologies like OpenGL, Blender, and iClone 3D animation toolkit. He is also skilled in using Leap Motion for enhancing interactive experiences in game applications. Beyond game development, Ted is proficient in C++/C# programming across different applications and has experience in Agile/Rapid development methodologies, Waterfall, and Continuous Integration. His expertise extends to embedded systems such as ROS in Linux/Windows, particularly in VR applications for robotics, and enterprise web server applications where he excels in Java programming, software optimization, debugging, and troubleshooting.

Professional Profile:

ORCID

 

Education

University of Auckland

  • Bachelor of Science in Computer Science
    Date: Graduated in 2018

Work Experience

Design School, University of Auckland
Teaching and Tutoring Assistant
July 2022 – Nov 2022

  • Responsibilities: Assisted in teaching and tutoring the course “Designing Mix Realities” at the School of Design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Skills

  • Game Design: Unity3D, MRTK and XR SDK, AR Kit, AR Core, Leap Motion, OpenGL, Vuforia, Blender, iClone 7.
  • Programming: C++/C#, Java, JavaScript, PHP/CSS/HTML, jQuery, mySQL, JSON/XML, Matlab.
  • HMD: Vive/Vive Pro Eye, Oculus Quest/Quest 2/Quest 3/Quest Pro, HP Omnicept, Magic Leap, Hololens 2, Apple Vision Pro.
  • API: WebGL, OpenGL.
  • Web API: .Net/ASP.Net MVC.
  • J2EE API: Java Servlet and EJB.
  • Version Control: git and GitHub.
  • OS: Linux, Windows.
  • Embedded Systems: ROS.

Employment History

🏫 Design School, University of Auckland
Teaching and Tutoring Assistant (July 2022 – Nov 2022)

  • Teaching and tutoring assistant for the course “Designing Mix Realities” at the school of design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Publication top Notes:

EEG, Pupil Dilations, and Other Physiological Measures of Working Memory Load in the Sternberg Task

Cognitive Load Measurement with Physiological Sensors in Virtual Reality during Physical Activity

Comparing Performance of Dry and Gel EEG Electrodes in VR using MI Paradigms

PlayMeBack – Cognitive Load Measurement using Different Physiological Cues in a VR Game

Best Wearable Sensing Technology

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Introduction Best Wearable Sensing Technology

Welcome to the prestigious ‘Best Wearable Sensing Technology‘ award, celebrating innovation and excellence in the field of wearable sensor technology. This award recognizes breakthroughs that have the potential to revolutionize how we monitor and interact with our environment and ourselves.

Award Eligibility:

The award is open to individuals and teams worldwide who have developed groundbreaking wearable sensing technology. There are no age limits, and both academic and industry professionals are eligible to apply. Qualifications should demonstrate a significant contribution to the field, such as patents, publications, or successful product launches.

Evaluation Criteria:

Submissions will be evaluated based on the following criteria:

  1. Innovation: Uniqueness and originality of the technology.
  2. Practicality: Feasibility and usability of the technology.
  3. Impact: Potential impact on society, healthcare, or other relevant fields.
Submission Requirements:

Applicants must submit a detailed description of their wearable sensing technology, including its design, functionality, and potential impact. Supporting documents, such as research papers, patents, or product prototypes, should also be included. Submissions will be evaluated based on innovation, practicality, and potential impact.

Recognition:

Winners will be announced on [Announcement Date] and will receive [Prize Details]. They will also have the opportunity to present their technology at [Event Details] and receive recognition in [Media Outlets].

Community Impact:

The ‘Best Wearable Sensing Technology‘ award aims to not only recognize technological innovation but also to encourage collaboration and knowledge sharing within the wearable sensor technology community.

Biography:

Include a brief biography highlighting your achievements and contributions to the field of wearable sensing technology.

Abstract and Supporting Files:

Submissions should include an abstract highlighting the key features and benefits of the technology. Supporting files such as videos, images, or technical documentation are encouraged.

 

 

Best Sensor for Energy Management

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Introduction Best Sensor for Energy Management

Welcome to the prestigious “Best Sensor for Energy Management” award, recognizing innovation and excellence in sensor technology for energy efficiency. This award celebrates advancements that contribute to sustainable energy practices and environmental stewardship.

Award Eligibility:
  • Open to individuals, teams, and organizations worldwide.
  • No age limits apply.
  • Qualification requires demonstrated excellence in sensor technology for energy management.
  • Publications related to energy efficiency and sensor technology are valued.
  • Recurrences: Annually, with submissions due by [submission deadline].
Evaluation Criteria:

Submissions will be evaluated based on:

  • Innovation and originality of the sensor technology.
  • Contribution to energy efficiency and sustainability.
  • Impact on energy management practices.
  • Technical merit and feasibility.
Submission Guidelines:
  • Submit a detailed description of the sensor technology.
  • Include supporting documents and publications.
  • Abstract should highlight key features and benefits.
  • Supplementary files demonstrating the sensor’s functionality are encouraged.
Recognition:
  • Winners will receive a prestigious award trophy.
  • Recognition in industry publications and media.
  • Opportunity to present at a prestigious industry event.
Community Impact:

The award aims to inspire advancements in energy management, benefiting communities and the environment.

Biography:

The “Best Sensor for Energy Management” award recognizes outstanding contributions in sensor technology for energy efficiency.

Abstract and Supporting Files:

Submissions should include an abstract summarizing the sensor technology’s key features and benefits. Supporting files such as technical specifications and demonstration videos are encouraged.

 

 

Heba-Allah El-Sayed | Biological Sensors Award | Best Researcher Award

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Dr. Heba-Allah El-Sayed | Biological Sensors Award | Best Researcher Award

Assistant researcher at Agriculture Research Center, Egypt

Dr. Heba-Allah El-Sayed is a dedicated researcher with a background in entomology, specializing in honey bee health and beekeeping. She holds a Ph.D. in Entomology from Cairo University, with a focus on the antiviral properties of Egyptian propolis and bee venom on honey bee health. Heba-Allah has extensive experience in laboratory work, including diagnosing diseases and pests of honey bees, RNA and DNA extraction, and gene expression analysis. She is proficient in using laboratory equipment such as PCR machines and spectrophotometers. Heba-Allah is also skilled in raising queens in apiaries and has experience in chemical analysis of honey bee products. She is fluent in Arabic and has a good command of English. Heba-Allah is known for her strong communication skills, ability to work well in a team, and her ambition to contribute significantly to her field.

Professional Profile

Education:

Heba-Allah El-Sayed has an impressive academic background, culminating in a Ph.D. in Entomology from Cairo University in 2023. Her doctoral thesis, titled “In Vivo and in Vitro Evaluation of the Effect of Egyptian Propolis and Bee Venom on the Honey Bee (Apis mellifera L.) Health,” delved into the chemical profile of honey bee venom (HBV) and Egyptian ethanolic propolis extract (EP) using advanced analytical techniques like FTIR spectroscopy, GC-MS, and HPLC. The study identified methyl gallate and phthalic acid in EP and demonstrated the antiviral activity of both HBV and EP against honey bee cell lines infected with DWV, BQCV, VDV-1, and KV, as detected by RT-PCR and RT-qPCR. Moreover, the research showed that HBV and EP could improve cell health and increase the lifespan, activities, and density of bee workers when used as supplements in bee nutrition. These findings suggest potential applications of HBV and EP as supplements and antiviral drugs in honeybee apiaries. Prior to her Ph.D., Heba-Allah completed her Master’s degree, focusing on the detection of Deformed wing virus (DWV) and Kakugo virus (KV) in honeybees in Egypt. Her thesis, titled “First detection of Deformed wing virus (DWV) and Kakugo virus (KV) in honeybees (Apis mellifera L.) (Hymenoptera-Apidae) in Egypt by RT-PCR,” utilized molecular techniques to isolate and identify these viruses, providing valuable insights into their presence and prevalence in Egyptian honeybee populations. Heba-Allah’s academic journey began with a Bachelor of Science degree from Cairo University in 2007, laying the foundation for her subsequent research and achievements in the field of Entomology. She has also contributed to published research articles, including a recent publication on the antiviral activities of Egyptian ethanolic propolis extract and honey bee venom against honey bees infected with multiple viruses in vitro.

Research:

Heba-Allah El-Sayed has been actively involved in research, demonstrating a high level of participation and contribution. She has conducted all laboratory work, showcasing her hands-on expertise and proficiency in various experimental techniques and methodologies. Additionally, Heba-Allah has been instrumental in generating ideas and contributing to the writing process of research projects. Her involvement in both the practical and theoretical aspects of research highlights her comprehensive understanding and commitment to advancing scientific knowledge in the field of Entomology.

Work Experiences:

Heba-Allah El-Sayed possesses a wealth of practical experience in the field of Entomology, particularly in diagnosing diseases and pests of honey bees. She has conducted laboratory molecular and microscopic biological examinations to identify viral, bacterial, fungal, and external and internal parasitic infections in honey bee populations. Additionally, Heba-Allah is proficient in RNA and DNA extraction, cDNA conversion, and amplification templates using RT-PCR. She has also conducted gene expression analyses and developed standard curves for viruses in laboratory settings. Heba-Allah has hands-on experience in cultivating cells and tissues, as well as a deep understanding of the anatomy of insects, specifically honey bees. Her practical skills extend to raising queens in apiaries, showcasing her expertise in beekeeping practices. Moreover, Heba-Allah has sufficient experience in conducting chemical analyses of honey bee products in laboratory settings, highlighting her comprehensive skill set in bee-related research. She is adept at using various laboratory devices, including conventional PCR and quantitative RT-PCR machines, gel and protein electrophoresis equipment, and spectrophotometers. These experiences demonstrate her proficiency in employing advanced laboratory techniques and equipment to further her research objectives. Heba-Allah is also actively engaged in professional development, having attended the online workshop “Winter school of Bioinformatics” Level 1, organized by the Elite Scientists Platform (ESP) in 2022. Additionally, she has served as a trainer in chemical analysis for honeybee products, further showcasing her commitment to sharing knowledge and expertise within the scientific community.

Skills:

Heba-Allah El-Sayed is proficient in Arabic, her mother tongue, and has a good command of English. She also has elementary proficiency in French. In terms of computer skills, Heba-Allah has completed a course in Digital Transformation in 2023 and received the ICDL certification in 2010. She possesses a very good knowledge of Microsoft Windows Vista and Microsoft Office 2007 and 2013, along with extensive experience in using the Internet. Heba-Allah is also skilled in typing. On a personal level, Heba-Allah demonstrates strong communication and presentation skills, making her adept at conveying complex information effectively. She has a high ability to instruct others in her field of specialization, indicating her proficiency in knowledge sharing and teaching. Heba-Allah works well in groups, displaying a helpful and collaborative attitude towards team members. She excels at working under pressure, demonstrating resilience and a strong work ethic. Heba-Allah is known for her punctuality and dedication to her work. She possesses advanced research abilities and is driven by ambition to achieve her goals.

Publications:

Effect of honeybee venom and Egyptian propolis on the honeybee (Apis mellifera L.) health in vivo

Authors: H. Seyam, A.A.A. Metwally, A.H. El-Deeb, M.S. Badr, E.M. Abd-El-Samie

Journal: Egyptian Journal of Biological Pest Control

Year: 2022

Citations: 1

Molecular characterization of viruses found in honeybee (Apis mellifera) colonies infested with Varroa destructor and Nosema cerana in Egypt

Authors: E.M. Abd-El-Samie, N.K. Basuny, H. Seyam

Journal: Molecular and Cellular Probes

Year: 2021

Citations: 4

First detection of deformed wing and kakugo viruses in honeybees (Apis mellifera L.) in Egypt by real-time polymerase chain reaction (RT-PCR)

Authors: E.M. Abd-El-Samie, F.K. Adham, S. El-Mohandes, H. Seyam

Journal: African Journal of Biotechnology

Year: 2017

Citations: Not specified

 

 

Best Sensor for Smart Cities

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Introduction Best Sensor for Smart Cities

Welcome to the Best Sensor for Smart Cities Award, recognizing innovative sensor technologies that contribute to the development of smarter and more sustainable cities.

Award Eligibility:

This award is open to individuals, teams, and organizations worldwide who have developed sensor technologies specifically designed for use in smart city applications. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on smart city development. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on smart city development.

Submission Guidelines:

Submissions should be sent via email to awards@bestsensorforsmartcities.com by the deadline specified on the website. Please include “Best Sensor for Smart Cities Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Smart Cities Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Smart Cities Award aims to promote the use of sensor technologies in smart city development, ultimately improving quality of life and sustainability in urban areas.

Biography:

The award committee is comprised of experts in the fields of sensor technology and smart city development who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.

 

 

Best Sensor for Robotics

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Introduction Best Sensor for Robotics

Welcome to the Best Sensor for Robotics Award, an initiative aimed at recognizing outstanding innovations in sensor technology that enhance robotic capabilities.

Award Eligibility:

This award is open to individuals and teams worldwide who have developed sensors or sensor-related technologies specifically designed for use in robotics. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on robotics. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria:

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on the field of robotics.

Submission Guidelines :

Submissions should be sent via email to awards@bestsensorforrobotics.com by the deadline specified on the website. Please include “Best Sensor for Robotics Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Robotics Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Robotics Award aims to foster innovation and collaboration within the robotics community, ultimately advancing the field and benefiting society as a whole.

Biography:

The award committee is comprised of experts in the field of robotics and sensor technology who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.