Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award 

Prof. Dr. Ahmad Jalal, Air University, Pakistan

R. Ahmad Jalal is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, Pakistan. He also leads the Intelligent Media Center (IMC) as its Director, overseeing a team of 15 MS and Ph.D. students, researchers, and developers contributing to innovative R&D activities with both national and international collaborations.

Professional Profile:

GOOGLE SCHOLAR

Suitability of R. Ahmad Jalal for the Best Researcher Award

Dr. R. Ahmad Jalal’s extensive academic and professional contributions position him as a highly suitable candidate for the Best Researcher Award. With his role as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, and as the Director of the Intelligent Media Center (IMC), he has demonstrated leadership in research and innovation.

Education 🎓

  • Ph.D. in Computer Engineering, Pohang University of Science and Technology (POSTECH), South Korea
  • Master’s in Computer Science, (Details not provided, assumed prior to Ph.D.)

Work Experience 💼

  1. Associate Professor (March 2019 – Present)
    • Air University, Department of Computer Science and Engineering, Islamabad, Pakistan.
  2. Director, Intelligent Media Center (IMC) (2017 – Present)
    • Leading a team of 15 MS and Ph.D. students, researchers, and developers working on R&D for international and national collaborations.

Achievements & Contributions 🌟

  • Supervision: Successfully supervised 9 Ph.D. students and 21 MS students.
  • Patents:
    • Depth-based invariant human activity recognition using R transformation features (Co-inventor), Korea Copyright Commission, Patent No. 134571-0003856, 2011.
  • Publications: Multiple impactful papers with notable awards (details below).

Awards and Honors 🏆

  1. Best Paper Award (Runner-up) – ICAEM 2018
    • Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform
    • Presented at IEEE Conference of Applied and Engineering Mathematics, pp. 82-87.
  2. Best Paper Award – ICOST 2011
    • Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home
    • Presented at the 9th ICOST, Lecture Notes in Computer Science (Springer), LNCS 6719, pp. 25-32.

Notable Roles ✨

  • Leader: Spearheading advanced research in AI, human activity recognition, and media technologies.
  • Innovator: Developed patented solutions in depth-based human activity recognition.

Publication Top Notes:

Robust human activity recognition from depth video using spatiotemporal multi-fused features

CITED:399

A Depth Video Sensor-based Life Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

CITED:301

Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home

CITED:249

Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home

CITED:208

Students’ Behavior Mining in E-learning Environment Using Cognitive Processes with Information Technologies

CITED:186

Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents

CITED:117

Ms. Heba Helal | Body Sensor Award | Best Researcher Award

Posted on by ScienceFather

Ms. Heba Helal | Body Sensor Award | Best Researcher Award

Ms. Heba Helal, United Arab Emirates University, United Arab Emirates

Dr. Heba M. Helal is a dedicated PhD student in Computer Engineering at United Arab Emirates University (UAEU), where she focuses on data analytics and visualization. Her academic journey includes a Master’s degree in Computer Engineering from American University of Sharjah (AUS) and a Bachelor’s degree in Computer Engineering from Mansoura University, Egypt. With a strong academic record, Dr. Helal has published notable research, including works on time series visual exploration and fault-tolerant datacenter network topologies. Her technical expertise spans a range of areas including Python programming, network security, and machine learning. She has garnered practical experience as a Graduate Teaching Assistant at both UAEU and AUS, where she supports students in understanding complex concepts and grading lab reports.

Professional Profile:

Summary of Suitability for Best Researcher Award

PhD Candidate in Computer Engineering at United Arab Emirates University (UAEU) with a strong academic foundation from her Master’s degree at the American University of Sharjah and Bachelor’s degree in Computer Engineering from Mansoura University.

Education

PhD in Computer Engineering
United Arab Emirates University (UAEU), Al Ain, UAE
2020 – Present

Master of Science in Computer Engineering
American University of Sharjah (AUS), Sharjah, UAE
Graduation Date: June 2017
Current Cumulative GPA: 3.72

Bachelor of Science in Computer Engineering
Mansoura University, Mansoura, Egypt
Graduated: 2011
Cumulative GPA: 3.6

Work Experience

Graduate Teaching Assistant
Computer Science & Software Department, UAEU, Al Ain
September 2020 – Present

  • Assist lab instructors in lab preparation and guide students to understand various concepts through constructive feedback.
  • Provide feedback on students’ work while grading lab reports.

Graduate Teaching Assistant
Computer Science & Engineering Department, AUS, Sharjah
September 2015 – May 2017

  • Assisted lab instructors and guided students in understanding course material and lab exercises.
  • Offered detailed feedback on students’ lab reports and performance.

Demonstrator
Computer Science & Engineering Department, Mansoura University, Mansoura
June 2011 – August 2015

  • Helped students develop elementary programming skills in C++ and Visual Basic.
  • Explained and clarified concepts during lab hours to enhance students’ understanding.

Publication top Notes:

CITED:8
CITED:3
CITED:2
CITED:1

Dr. Wanxin Tang | Wearable Sensor Award | Best Researcher Award

Posted on by ScienceFather

Dr. Wanxin Tang | Wearable Sensor Award | Best Researcher Award 

Dr. Wanxin Tang, Shanghai Normal University, China

Wanxin Tang is a faculty member at the School of Materials and Science, Shanghai Normal University, where he has been working since August 2020. He earned his Ph.D. from East China Normal University in March 2020, specializing in flexible electronics and functional hydrogels under the guidance of Professor Pingang He. His research includes flexible Raman spectrum analysis, wearable flexible devices, and electrochemical sensors. Prior to his current position, Dr. Tang was a Flexible Electronics Engineer at the Institute of Flexible Electronics Technology of Tsinghua University and a visiting student at the Department of Nanoengineering, University of California, San Diego. His notable achievements include receiving the China Scholarship Council Scholarship, the Shanghai Super Postdoctoral Award, and grants from the National Natural Science Foundation of China and the Science and Technology Commission of Shanghai Municipality.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Wanxin Tang is a highly qualified candidate for the Best Researcher Award, based on his impressive academic background, notable research achievements, and contributions to the field of flexible electronics and electrochemical sensors.

Education:

  • Ph.D. in Chemistry and Molecular Engineering, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China (March 2020). Supervisor: Prof. Pingang He.
  • M.S. in Life and Environmental Sciences, School of Life and Environmental Sciences, Shanghai Normal University, China (September 2012 – June 2015).
  • B.S. in Science and Technology, School of Science and Technology, Xinyang University, China (September 2008 – June 2012).

Work Experience:

  • Faculty at the School of Materials and Science, Shanghai Normal University, Shanghai, China (August 2020 – present). Research focuses on flexible Raman spectrum analysis, functional hydrogels, and wearable flexible devices in collaboration with Prof. Haifeng Yang.
  • Flexible Electronics Engineer at the Institute of Flexible Electronics Technology of Tsinghua, Hangzhou, Zhejiang, China (June 2020 – December 2020). Worked on flexible electronics and electrochemical sensors as part of a project led by Prof. Xue Feng.
  • Visiting Student at the Department of Nanoengineering, University of California, San Diego (October 2017 – September 2019). Engaged in research on flexible devices and wearable electrochemical sensors under the supervision of Prof. Joseph Wang.

Publication top Notes:

Simultaneous detection of streptomycin and kanamycin based on an all-solid-state potentiometric aptasensor array with a dual-internal calibration system

Label-free potentiometric aptasensing platform for the detection of Pb2+ based on guanine quadruplex structure

Phytic acid@Ag-based all-solid-state ion selective electrode for potentiometric detection of Cu 2+

Molecularly imprinted polymers-based electrochemical DNA biosensor for the determination of BRCA-1 amplified by SiO2@Ag

Internal Calibration Potentiometric Aptasensors for Simultaneous Detection of Hg2+, Cd2+, and As3+ Based on a Screen-Printed Carbon Electrodes Array

Assoc Prof Dr. Mounib Khanafer | Body Area Network | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Mounib Khanafer | Body Area Network | Best Researcher Award

Assoc Prof Dr. Mounib Khanafer, American University of Kuwait, Kuwait

Dr. Mounib Khanafer is an Associate Professor of Electrical and Computer Engineering at the American University of Kuwait (AUK), where he has been a faculty member since 2013. He holds a Ph.D. and a Master of Applied Science (M.A.Sc.) in Electrical and Computer Engineering from the University of Ottawa, Canada, and a B.Sc. in Electrical Engineering from Kuwait University. His research interests span wireless networks, Internet of Things (IoT), and data and computer communications. Dr. Khanafer has also served as a Research Collaborator at Dartmouth College, USA, and has held visiting professor positions at the University of Ottawa and Dartmouth College. His professional experience includes roles as a Software Designer at Nortel Networks and various teaching and research assistant positions at the University of Ottawa. Dr. Khanafer is certified by Professional Engineers Ontario (PEng), with his application currently pending. He has received specialized training in ABET accreditation, IoT, machine learning, and inclusive teaching practices. In his role at AUK, he designs and teaches courses such as Wireless Networks and Mobile Systems, Computer Networks, and Introduction to the Internet of Things, among others.

Professional Profile:

Summary of Suitability for Best Researcher Award

Mounib Khanafer has published several impactful papers in high-profile journals and conferences, including IEEE Communications Surveys & Tutorials, IEEE Instrumentation & Measurement Magazine, and IEEE Transactions on Intelligent Transportation Systems. His work covers diverse areas such as wireless sensor networks (WSNs), swarm intelligence, deep learning in instrumentation, and IoT, showcasing his broad expertise and influence in his field.

Education:

  • Ph.D. in Electrical & Computer Engineering
    University of Ottawa, Canada, 2012
  • M.A.Sc. in Electrical Engineering
    University of Ottawa, Canada, 2007
  • B.Sc. in Electrical Engineering
    Kuwait University, Kuwait, 2002

Work Experience:

  • Associate Professor, Electrical and Computer Engineering
    American University of Kuwait, Kuwait
    2019 – Present
  • Research Collaborator, Computer Science
    Dartmouth College, Hanover, NH, USA
    2022 – Present
  • Visiting Professor, Computer Science
    Dartmouth College, Hanover, NH, USA
    Summer 2022
  • Assistant Professor, Electrical and Computer Engineering
    American University of Kuwait, Kuwait
    2013 – 2019
  • Visiting Professor, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    Summer 2014
  • Postdoctoral Fellow, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2012 – 2013
  • Teaching & Research Assistant, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2008 – 2012
  • Software Designer, Operations, Administration, & Management
    Nortel Networks, Ottawa, Canada
    2005 – 2008
  • Intern (Master’s Student), Broadband and Optical Networks
    Communications Research Centre, Ottawa, Canada
    2004 – 2006
  • Teaching & Research Assistant, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2003 – 2005
  • Visiting Scholar, Micro-Electro-Mechanical Systems
    Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium
    Summer 2001

Publication top Notes:

CITED:170
CITED:117
CITED:112
CITED:79
CITED:30

 

 

Prof Dr. Georg Fischer | Wearables | Best Scholar Award

Posted on by ScienceFather

Prof Dr. Georg Fischer | Wearables | Best Scholar Award

Prof Dr. Georg Fischer ,FAU/Technische Elektronik, Germany

Prof. Dr.-Ing. Georg Fischer embarked on his academic journey with a focus on Electrical Engineering. He earned his Dipl.-Ing. (TH) in Electrical Engineering, with a concentration on Communications, RF, Electrodynamics, and Acoustics, from RWTH Aachen University, Germany, from 1986 to 1992. His dedication and expertise culminated in a summa cum laude doctorate from the University of Paderborn, Germany, on February 6, 1997, under the guidance of Prof. Wido Kumm and Prof. Ingo Wolff. His dissertation, titled “An Adaptive Receiving System for Satellite Broadcast with Adaptation of Beam Pattern and Polarisation,” set the stage for his illustrious career.

Professional Profile

Orcid

 

Qualifications and Career Stages 📚🎓

  • Degree Program: Dipl.-Ing. (TH) Electrical Engineering, specializing in Communications, RF, Electrodynamics, and Acoustics, RWTH Aachen University, Germany (1986-1992)
  • Doctorate: Dr.-Ing. in Electrical Engineering, summa cum laude, University of Paderborn, Germany (February 6, 1997)
    • Thesis: “An adaptive Receiving System for satellite broadcast with Adaptation of beam pattern and polarisation” under the supervision of Prof. Wido Kumm and Prof. Ingo Wolff

Academic and Professional Career 🏫🔧

  • Acting Head of Institute for Electronics Engineering: Since April 1, 2024
  • Professor of NITech Academic Unit Cooperation Program: “International Joint Research on Life System” since August 10, 2017
  • BMBF Excellence Cluster Medical Valley: Community Moderator for funding area IS “Intelligent Sensors”
  • Professor for Electronics Engineering at FAU: Since 2008, focusing on medical electronics, health assistive devices, energy-efficient electronics, and energy management
  • Part-time Lecturer at FAU: 2001-2008, Institute of Microwaves and Photonics, teaching RF and digital architecture of mobile communication basestations
  • Researcher at Bell Labs: 1996-2008, with notable positions and contributions in RF/Microwave systems and high-efficiency RF power amplifiers
  • Research Assistant at University of Paderborn: 1993-1996, responsible for the Microwave and Antenna Lab

Engagement in the Research System 🌐🔍

Memberships

  • IEEE (MTT, AP, VTS, COMSOC, EMBS)
  • VDE ITG (Informationstechnische Gesellschaft), DKE (Deutsche Kommission Elektrotechnik, Normung)
  • EUMA (European Microwave Association)
  • IMA (Institut für Mikrowellen- und Antennentechnik)

Academic Self Governance

  • PhD board of Engineering Faculty, Delegate of Department of Electrical Engineering, Electronics, Information Technology (EEI)
  • Commission for Education with Faculty Board, Delegate of EEI
  • Head of Study Program IuK-Bachelor/ICT-Master Information and Communication Technology since 2013
  • Active in the Study Board for Elite ASC program (Advanced Signal Processing and Communications)

Editorial Board Member and Reviewer

  • Editorial Roles: IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology; MDPI Sensors; MDPI Micromachines
  • Reviewer for: IEEE, Springer, Wiley, MDPI, Elsevier, Cambridge University Press, De Gruyter, IET Communications, ACES Journal, IJRES, Measurement

Prof. Dr.-Ing. Georg Fischer is a leading figure in the field of Electronics Engineering, contributing significantly to research and education in RF systems, medical electronics, and energy-efficient technologies. His extensive career in both academia and industry reflects his commitment to advancing technological innovation and knowledge dissemination. 🌟🔧📡

.Publications Notes:📄

Choice of Piezoelectric Element over Accelerometer for an Energy-Autonomous Shoe-Based System

How the Magnetization Angle of a Linear Halbach Array Influences Particle Steering in Magnetic Drug Targeting—A Systematic Evaluation and Optimization

Assessing the external validity of machine learning-based detection of glaucoma

Channel Parameter Studies of a Molecular Communication Testbed With Biocompatible Information Carriers: Methods and Data

Dielectric properties of unidirectional and biaxial flax/epoxy composites at frequencies up to 1 GHz

 

 

 

Body Area Network

Posted on by ScienceFather

Introduction of Body Area Network

Body Area Networks (BANs) are a frontier in wireless sensor technology, enabling the monitoring of physiological data, vital signs, and physical activity within or around the human body. These networks have profound implications for healthcare, sports, and wearable technology.

Medical BANs for Health Monitoring:

Investigating the development of BANs for continuous monitoring of vital signs, such as heart rate, blood pressure, and glucose levels, in clinical and home settings.

Wearable BAN Devices:

Focusing on wearable BAN devices, including smartwatches and fitness trackers, that integrate seamlessly with the human body to track activity, sleep, and health metrics.

Sensor Integration and Miniaturization:

Addressing challenges in sensor miniaturization and integration within BAN devices, enabling unobtrusive and comfortable long-term wear.

BAN Security and Privacy:

Analyzing security measures and privacy safeguards in BANs to protect sensitive medical and personal data from unauthorized access and breaches.

Wireless Communication Technologies for BANs:

Exploring wireless communication protocols, such as Bluetooth Low Energy (BLE) and Zigbee, optimized for BANs to ensure reliable and energy-efficient data transmission.