Researcher, University of North Texas, United States

Thai Ha Dang is a passionate graduate student currently pursuing his Ph.D. in Electrical Engineering at the University of North Texas. With over 2 years of experience in wearable embedded devices and wireless sensing systems, he specializes in RF energy harvesting and machine learning for signal processing. His research spans human and animal models, and he has worked on projects related to cow behavior classification, energy harvesting systems, and underwater monitoring. Thai’s commitment to research has led him to present at various international conferences and publish in high-impact journals. He has honed his skills in embedded system design, programming, and data analysis, making him a key player in the field of agricultural technology and sensor networks. His strong academic background and innovative contributions have made him a respected researcher among peers and mentors alike.

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Education

Thai Ha Dang’s educational journey began at Hanoi University of Science and Technology, Vietnam, where he earned his Degree of Engineer in Electrical Engineering, ranking in the top 15% of his class. He further advanced his studies by pursuing a Master’s degree in Electrical Computer Engineering at Pukyong National University in South Korea, where he graduated with a GPA of 4.12/4.5. This rigorous academic background provided a strong foundation in embedded systems, machine learning, and wireless sensor networks. Currently, he is enrolled in the Ph.D. program in Electrical Engineering at the University of North Texas, where his research focuses on wearable embedded devices and RF energy harvesting. His dedication to academia is reflected in his continued pursuit of knowledge and excellence in his research endeavors, particularly in the application of machine learning techniques for signal processing in embedded systems.

Experience

Thai Ha Dang has built a solid foundation in research and industry through diverse experiences. As a Research Assistant in the Embedded Sensing & Processing Systems (ESPS) Lab at the University of North Texas, he is currently working on developing an underwater monitoring system, combining his interests in wireless sensing and energy harvesting. Before this, he contributed to a wide array of projects at the AIOT Lab, Pukyong National University, where he designed a multi-channel embedded device for monitoring cow behavior. This involved system design, firmware development, and experimentation. He also gained hands-on experience during his tenure as an engineer in Samsung Display Vietnam’s AI group, where he worked on training neural networks for computer vision tasks related to defect detection. His strong technical skills, combined with a practical understanding of industry needs, make him well-equipped to tackle complex research challenges in embedded systems and machine learning applications.

Awards and Honors

Thai Ha Dang has been recognized for his contributions to the research community through several prestigious awards. Notably, he received the Best Paper Award at the Korea Institute of Convergence Signal Processing (KICSP) in December 2021 for his work on deep learning approaches for food quality assessment using hyperspectral sensors. Additionally, he was honored with the Brain Korea 21 Scholarship for the years 2021-2023, further validating his potential as a leader in his field. Thai’s academic excellence has been supported by research assistantships at both Pukyong National University and the University of California Irvine. These honors reflect his continuous pursuit of knowledge and the impact his work has had on advancing technology in agriculture and embedded systems. His recognition through these awards underscores his talent, dedication, and potential to drive innovation in his research.

Research Focus

Thai Ha Dang’s research primarily focuses on developing and applying wearable embedded systems for low-powered monitoring and energy harvesting, with a strong emphasis on machine learning techniques. His work includes creating self-powered systems, such as his wireless sensor network for monitoring cow behavior, which uses 915 MHz radio frequency energy harvesting. Another key area of his research is food quality monitoring, where he explores battery-free systems powered by RF energy harvesting to detect freshness in food products. Additionally, Thai has delved into underwater monitoring and aquaculture, with applications for shrimp larvae counting using multi-scale feature networks. His multidisciplinary research blends electrical engineering, machine learning, and sensor technology to address real-world challenges in agriculture, food safety, and environmental monitoring. Thai is particularly interested in developing sustainable and efficient systems that are capable of operating in challenging and remote environments, offering a glimpse into the future of intelligent, energy-efficient devices.

Publication Top Notes

“Self-Powered Cattle Behavior Monitoring System Using 915 MHz Radio Frequency Energy Harvesting,” IEEE Access, 2024.
“VAE-LSTM Data Augmentation for Cattle Behavior Classification Using a Wearable Inertial Sensor,” IEEE Sensor Letters, 2024.
“Radio-Frequency Energy Harvesting-based Self-Powered Dairy Cow Behavior Classification System,” IEEE Sensors Journal, 2023.
“A LoRaWAN-Based Smart Sensor Tag for Cow Behavior Monitoring,” IEEE Sensors Conference, 2022.
“B2EH: Batteryless BLE Sensor Network Using RF Energy Harvesting,” IEEE Applied Sensing Conference, 2023.
“Shrimp Larvae Counting in Dense Environments Using Size-Adaptive Density Map Estimation and Multi-scale Feature Network,” IEEE Transactions on Agrifood Electronics (accepted).

Mohammed Hefni | Mass Spectrometry | Best Researcher Award

Published on 19/02/202519/02/2025 by Popular EngineerLeave a Comment

Assoc. Prof. Dr. Mohammed Hefni | Mass Spectrometry | Best Researcher Award

Linnaeus University, Sweden

Dr. Mohammed Hefni is a Senior Researcher at Linnaeus University, Sweden, with a passion for sustainable, nutritious food development and health-impact clinical trials. His research spans chromatographic analysis, food science, and health, focusing on the intersection of nutrition and food processing. In addition to his research work, Dr. Hefni teaches nutrition, food chemistry, and analytical chemistry courses, helping shape the future of young scientists. His broad academic background and extensive research across Sweden, Egypt, and other global research centers, such as Uppsala and New Zealand, have allowed him to contribute significantly to advancing knowledge in food science and health outcomes.

Profile

Google scholar

Education 🎓

Dr. Hefni obtained his PhD in Food Science, co-supervised by the Swedish University of Agricultural Sciences and Mansoura University, focusing on folate in Egyptian foods and how food processing and bio-processing impact its levels. Prior to that, he earned an MSc and a BSc in Food Science from Mansoura University, where he conducted research on children’s nutrition. His education in food science, backed by strong international experience, has made him a leader in his field, continually pushing boundaries in nutrition and food research.

Experience 💼

Dr. Hefni has extensive academic experience, transitioning from Assistant Lecturer to Associate Professor at Mansoura University, Egypt, and later joining Linnaeus University as a Senior Researcher in 2016. His career spans teaching, research, and international collaborations. He has worked on cutting-edge food science projects as a postdoctoral researcher in Sweden, New Zealand, and Poland. His expertise in chromatographic techniques, bioactive peptides, and food processing has made him a key figure in both food science education and research. Additionally, his contributions in research and teaching have fostered the development of new methodologies and innovations in nutrition and food chemistry.

Awards and Honors 🏅

Dr. Hefni’s remarkable career has been recognized through numerous awards. These include the University Research Award at Mansoura University (2010, 2012), the University Incentive Award (2015), and several international scholarships. His contributions to food science research have been bolstered by training grants and fellowship awards from renowned institutions in Poland, New Zealand, and the UK. His award-winning research highlights his expertise in areas like bioactive peptides, folate profiling, and sustainable food development. These accolades underscore his ongoing commitment to advancing scientific knowledge in nutrition and food chemistry.

Research Focus 🔬

Dr. Hefni’s research focuses on sustainable food development, particularly nutrition and food chemistry, and their connection to health outcomes. He works extensively with chromatographic analysis and clinical trials to assess the health impacts of foods, especially legumes and plant-based diets. His recent work explores improving folate content in Egyptian foods and investigating bioactive compounds such as peptides. His research is essential for developing food products that contribute to better health and sustainability, emphasizing the potential of food processing and bio-processing methods to enhance nutrition.

Publication Top Notes📚

Less meat, more legumes: prospects and challenges in the transition toward sustainable diets in Sweden (2020)
High-moisture meat analogues produced from yellow pea and faba bean protein isolates/concentrate (2021)
Folate content in foods commonly consumed in Egypt (2010)
Folate content in processed legume foods commonly consumed in Egypt (2014)
Increasing the folate content in Egyptian baladi bread using germinated wheat flour (2011)
Folate content in faba beans (Vicia faba L.)—effects of cultivar, maturity stage, industrial processing, and bioprocessing (2015)
The application of pulse flours in the development of plant-based cheese analogues (2021)
Characterization of flavonoid compounds in common Swedish berry species (2020)
Effect of germination and subsequent oven-drying on folate content in different wheat and rye cultivars (2012)
Flours from Swedish pulses: Effects of treatment on functional properties and nutrient content (2019)
A HPLC-UV method for the quantification of phenolic acids in cereals (2019)
Bread making with sourdough and intact cereal and legume grains–effect on glycaemic index and glycaemic load (2021)
Betaine, choline and folate content in different cereal genotypes (2018)
A simple HPLC method with fluorescence detection for choline quantification in foods (2015)

Sumathi Robert Shanmugam | Nursing | Best Researcher Award

Published on 19/02/202519/02/2025 by Popular EngineerLeave a Comment

Assist. Prof. Dr. Sumathi Robert Shanmugam | Nursing | Best Researcher Award

Assistant Professor, Princess Nourah bint Abdulrahaman University, Saudi Arabia

Dr. Sumathi Robert Shanmugam is an accomplished academician and researcher in the field of nursing. Currently serving as an Assistant Professor at the College of Nursing, Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, she brings over 29 years of teaching experience. Dr. Shanmugam holds a Ph.D. in Pediatric Nursing, specializing in advancing educational practices and innovative clinical assignments. She is passionate about improving academic standards and student learning through technology-based teaching methods and has contributed significantly to the development of nursing curricula and research methodology. Her work focuses on pediatric care, nursing education, and women’s health, and she is actively involved in mentoring research scholars and guiding students in research methodologies. With multiple publications in reputable journals and awards such as the Distinguished Teacher Award for 2023, Dr. Sumathi is recognized as a leader in nursing education and research.

Profile

Education

Dr. Sumathi Robert Shanmugam earned her Ph.D. in Pediatric Nursing, where she delved into the complexities of child health and nursing care. She holds a robust academic background, having completed advanced studies in nursing sciences, which laid the foundation for her extensive career in academia and research. Over the years, Dr. Sumathi has continuously sought to enhance her professional knowledge by engaging in numerous academic courses and workshops, ensuring that she stays at the forefront of nursing education. Her dedication to the field of nursing is reflected in her active contributions to the development of nursing curricula, particularly in Bachelor of Maternity Nursing programs. Dr. Shanmugam’s academic achievements have earned her recognition in the form of the Distinguished Teacher Award 2023, which serves as a testament to her commitment to shaping future generations of nurses. Her academic credentials and ongoing contributions continue to make her a leading figure in the field of nursing education.

Experience

With over 29 years of experience in nursing education, Dr. Sumathi Robert Shanmugam has carved a distinguished career in both teaching and research. Throughout her career, she has successfully implemented technology-based teaching methods that have transformed traditional classroom settings, bringing innovation into nursing education. Dr. Shanmugam has also contributed to the academic world by developing clinical assignments and simulation training programs, which help students hone their skills in real-world scenarios. Beyond her teaching role, she actively mentors students and researchers, guiding them through research methodology, data analysis, and manuscript writing. Her leadership extends to her role as a Research Mentor for Ph.D. scholars, where she fosters research growth in nursing. Additionally, Dr. Shanmugam has had key editorial roles, contributing to Paediatric Nursing Journals and co-authoring chapters in nursing textbooks. Her work continues to influence nursing education, both in Saudi Arabia and internationally.

Research Focus

Dr. Sumathi Robert Shanmugam’s research interests span a wide range of critical topics within the nursing domain, with a particular emphasis on Pediatric care, Women’s and Child Health, Nursing Education, and the use of Simulation in Nursing. Her focus on nursing education includes developing new curricula and enhancing training programs for better practical application and academic delivery. Additionally, Dr. Shanmugam has explored the psychological aspects of healthcare, particularly through research examining emotional intelligence and well-being among nursing students. Her research on simulation-based training is particularly noteworthy, as it bridges the gap between theory and practice, ensuring that future nurses are well-prepared for the challenges they will face in real-world clinical settings. Dr. Shanmugam is also involved in collaborative research projects, such as studies on psychological health, addiction recovery, and the impact of COVID-19 on mental health in various populations, making her research both diverse and impactful.

Publication Top Notes

Levels of depression among wives of alcoholics and non-alcoholics-A comparative study (Indian Journal of Psychiatric Nursing, 2018) 🌍📚
Impact of sleep and psychological well-being on the academic and clinical performance of nursing students in Saudi Arabia (Psychology Research and Behavior Management, 2024) 🌙📈
Emotional intelligence and self-esteem among Saudi Arabian and Indian nursing students: findings from two countries (BMC Nursing, 2024) 🌟💡
Awareness, Perceived Benefits and Barriers of Usage of Open Access Scholarly Publishing among Faculty (Cardiometry, 2023) 🖋️📑
Effectiveness of music therapy on pain, anxiety, depression and quality of life among patients with cancer—A systematic review (Int J Nurs Health Care Res, 2023) 🎶💪
Psychological effects of COVID-19 lockdown among Aseer residents, Saudi Arabia (JPMA, 2023) 🦠😷
Facilitators and Barriers for Advocacy among Nurses-A Cross-Sectional Study (The Malaysian Journal of Nursing, 2024) 🧑‍⚕️🤝
WhatsApp Addiction and Educators Role in WhatsApp usage among Students (Psychology and Education, 2021) 📱👨‍🏫
Quality of life among wives of juvenile diabetics (Tamilnadu Nurses and Midwives Council, 2018) ❤️📊
Psychological problems among children of alcohol dependents with children of juvenile diabetics (The Journal of Nursing Trendz, 2018) 🧒🍷
Psychological problems among wives of alcohol dependents with wives of Juvenile diabetics and normal controls (Indian Journal of Advanced Nursing, 2018) 🧠💔
Deep Tissue Massage (Journal of Medical Surgical Nursing, 2014) 💆‍♀️📖
Collaborative newborn care- Nurses Role (Nightingale Nursing Times, 2010) 👶🤱
Newborn care practices (Health Action, 2010) 🍼👶

Necibe Fusun Oyman Serteller | Electric machines | Best Researcher Award

Published on 07/02/202507/02/2025 by Popular EngineerLeave a Comment

Dr. Necibe Fusun Oyman Serteller | Electric machines | Best Researcher Award

Prof.Dr., Marmara University, Turkey

🔬 Prof. Dr. Necibe Fusun Oyman Serteller is a distinguished academic specializing in electrical and electronic engineering. She earned her undergraduate degree from Istanbul Technical University (ITU) in 1989, followed by postgraduate studies at ITU in 1996. She completed her Ph.D. at Marmara University in 2000. Since then, she has been a faculty member at Marmara University, actively contributing to research and education. Her work focuses on electric machines, numerical analysis, electromagnetic fields, and engineering education. She has authored over 15 SCI/SCIE-indexed journal papers, published three books, and is involved in multiple consultancy and industry projects. She serves on editorial boards of reputed journals and is a member of IEEE Magnetic Society and IEEE Education Society. With a deep commitment to academic excellence, she mentors Ph.D. and master’s students while collaborating on innovative research projects. Her contributions to electrical engineering bridge theory with real-world applications.

Profile

Education

🎓 Prof. Dr. Necibe Fusun Oyman Serteller completed her undergraduate studies in Electrical-Electronics Engineering at Istanbul Technical University (ITU) in 1989. She pursued her postgraduate degree at ITU, earning her master’s in 1996. In 2000, she obtained her Ph.D. in Electrical-Electronic Engineering from Marmara University. Her doctoral research focused on advanced control and modeling of electrical machines, combining numerical simulations with experimental validation. Throughout her academic journey, she developed a strong foundation in electromagnetic field theory, power electronics, and electric machine design. She has participated in specialized training programs and international workshops to enhance her expertise in cutting-edge electrical engineering technologies. Her education has equipped her with interdisciplinary knowledge, enabling her to contribute significantly to electric machine modeling, control systems, and numerical analysis. With a passion for research and teaching, she continues to advance the field of electrical engineering through groundbreaking studies and student mentorship.

Experience

📚 Prof. Dr. Necibe Fusun Oyman Serteller has over 24 years of academic and research experience in electrical engineering. She began her career at Marmara University in 2000, where she currently serves as a faculty member. Her experience spans teaching undergraduate and postgraduate courses, supervising Ph.D. and master’s students, and leading funded research projects. She has worked on seven completed research projects and is actively involved in two ongoing studies. Her expertise extends to consultancy, where she has provided industry solutions in electric machine design and control. As a prolific researcher, she has published over 15 SCI/SCIE journal papers and served on editorial boards of high-impact journals. She collaborates with national and international institutions to advance innovations in electrical systems. Beyond academia, she has contributed to engineering education by developing new curricula and modernizing laboratory infrastructure, ensuring practical and theoretical excellence for students.

Research Focus

⚡ Prof. Dr. Necibe Fusun Oyman Serteller’s research is centered on electric machines, numerical analysis, and electromagnetic field modeling. Her primary focus is on the design, analysis, and optimization of electrical machines using advanced computational techniques. She specializes in developing control algorithms for permanent magnet synchronous motors (PMSM), brushless direct current (BLDC) motors, and switched reluctance motors (SRM). Her work integrates simulation-based modeling with experimental validation to enhance motor efficiency and reliability. She is also actively involved in electromagnetic field theory research, applying finite element analysis to optimize electrical systems. Her contributions extend to engineering education, where she designs innovative teaching methodologies for numerical computation in electromagnetics. She collaborates with industry partners to develop next-generation electric machine solutions, including applications in renewable energy and electric vehicle propulsion. Her research has significantly impacted the field of electrical engineering, bridging academic advancements with industrial applications.

Publication

1️⃣ Dynamic behavior model of PMSM fed by PWM inverter and fuzzy logic control (IEMDC 2001)
2️⃣ Brushless direct current (BLDC) motor driving experimental set (Energy Science and Research, 2011)
3️⃣ Understanding switched reluctance motor analysis using ANSYS/Maxwell (ISIE 2020)
4️⃣ Comparative analysis of SRM, BLDC, and induction motor using ANSYS/Maxwell (ICECCO 2021)
5️⃣ A dynamic analysis of BLDC motor by using MATLAB/Simulink (CHILECON 2017)
6️⃣ Türkiye’de Nükleer Enerjinin Yeri ve Önemi (Turkey 10th Energy Congress, 2006)
7️⃣ Comprehensive design and optimization of BLDC motor (ICE 2021)
8️⃣ BLDC machine bipolar–unipolar driving circuit education study (Procedia, 2010)
9️⃣ LabVIEW FPGA-based BLDC motor control using field-oriented control (SEST 2020)
🔟 Outer-rotor BLDC motor design & axial-length investigation (Sustainability 2022)

Xiangling Li | Engineering | Best Researcher Award

Published on 06/02/202507/02/2025 by Popular Engineer

Dr. Xiangling Li | Engineering | Best Researcher Award

Research Associate, Dartmouth College, United States

Dr. Xiangling Li is an accomplished researcher in biomedical engineering, specializing in micro/nano manufacturing, wearable bioelectronics, and precision medical devices. He currently serves as an Assistant Research Fellow at Dartmouth College, where he focuses on integrating advanced materials and nanotechnology into medical applications. With a Ph.D. from Sun Yat-sen University and postdoctoral research at the University of Southern California, Dr. Li has contributed to cutting-edge innovations in biosensors, drug delivery, and flexible electronics. His groundbreaking research has led to numerous high-impact publications in Advanced Science, Nature Communications, Advanced Functional Materials, and ACS Applied Materials & Interfaces, accumulating hundreds of citations. Dr. Li’s expertise in interdisciplinary research enables the development of next-generation medical devices, improving patient care and diagnostics. His work in integrating electronics, materials science, and life sciences has positioned him as a leader in the field, driving innovations in biomedical engineering and translational medicine.

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Orcid

Education

Dr. Xiangling Li pursued his academic journey with a strong focus on biomedical engineering and materials science. He earned his Ph.D. in Engineering (Biomedical Engineering) from Sun Yat-sen University, China (2018–2022), where he conducted pioneering research under the guidance of Prof. Xi Xie. His doctoral research focused on developing smart nanomaterials and biosensors for medical applications. After completing his Ph.D., he joined the University of Southern California as a Postdoctoral Fellow (2022–2023) under Prof. Hangbo Zhao, where he advanced his work on flexible bioelectronics and precision medicine. Dr. Li is currently an Assistant Research Fellow at Dartmouth College (since 2023), working with Prof. Wei Ouyang on cutting-edge medical technologies. His diverse educational background has equipped him with expertise in nano/microfabrication, electronic biosensors, and biomedical device engineering, enabling him to make significant contributions to translational medicine and wearable healthcare solutions.

Experience

Dr. Xiangling Li has extensive experience in biomedical engineering, focusing on micro/nano fabrication, biosensors, and advanced medical devices. He is currently an Assistant Research Fellow at Dartmouth College (2023–Present), where he explores novel bioelectronic interfaces for healthcare applications. Previously, he was a Postdoctoral Fellow at the University of Southern California (2022–2023), where he contributed to research on flexible electronic systems for precision medicine. Dr. Li completed his Ph.D. at Sun Yat-sen University (2018–2022), where he developed groundbreaking microfabricated biosensors and drug delivery platforms. His research expertise spans interdisciplinary fields, including wearable diagnostics, nanotechnology-enabled therapeutics, and malleable electronics. With multiple high-impact publications and extensive collaborations across disciplines, Dr. Li’s contributions continue to shape the future of smart medical devices. His experience bridges academia and industry, enabling the development of innovative biomedical solutions that improve patient outcomes and healthcare monitoring.

Research Focus

Dr. Xiangling Li’s research is centered on micro/nano manufacturing technologies for biomedical applications. His work integrates flexible electronics, biosensors, and smart materials to develop next-generation medical devices. He specializes in wearable and implantable bioelectronics, focusing on precision drug delivery, transdermal biosensing, and real-time health monitoring. A key area of his research involves microneedle-based systems for minimally invasive glucose monitoring, intraocular pressure regulation, and intelligent drug release platforms. Additionally, he explores graphene-based biosensors, nanoneedle platforms, and soft bioelectronics for enhanced biomedical applications. His innovations in smart contact lenses, flexible supercapacitors, and biocompatible coatings contribute to the advancement of personalized medicine and point-of-care diagnostics. Dr. Li’s interdisciplinary approach, combining electronics, materials science, and life sciences, drives the development of high-performance biomedical devices. His research holds significant potential for revolutionizing non-invasive diagnostics, therapeutic monitoring, and next-generation wearable healthcare solutions.

Publications 📚

A fully integrated closed-loop system based on mesoporous microneedles-iontophoresis for diabetes treatment
Intelligent wireless theranostic contact lens for electrical sensing and regulation of intraocular pressure
Reduced graphene oxide nanohybrid–assembled microneedles as mini-invasive electrodes for real-time transdermal biosensing
Smartphone-powered iontophoresis-microneedle array patch for controlled transdermal delivery
Nanoneedle platforms: the many ways to pierce the cell membrane
Electrodes derived from carbon fiber-reinforced cellulose nanofiber/multiwalled carbon nanotube hybrid aerogels for high-energy flexible asymmetric supercapacitors
Hierarchical graphene/nanorods-based H₂O₂ electrochemical sensor with self-cleaning and anti-biofouling properties
Emerging roles of 1D vertical nanostructures in orchestrating immune cell functions
Fe₃O₄ nanoparticles embedded in cellulose nanofiber/graphite carbon hybrid aerogels as advanced negative electrodes for flexible asymmetric supercapacitors
Wearable and implantable intraocular pressure biosensors: recent progress and future prospects

Armughan Ali | Engineering | Best Researcher Award

Published on 30/01/202530/01/2025 by Popular EngineerLeave a Comment

Mr. Armughan Ali | Engineering | Best Researcher Award

Lab Demonstrator, Wah Engineering College, Pakistan

Armughan Ali is a driven and innovative software engineer with a deep focus on artificial intelligence (AI) and its applications in solving real-world challenges. With expertise spanning software development, machine learning (ML), deep learning (DL), and natural language processing (NLP), he specializes in building intelligent systems that enhance efficiency and improve user experiences. Armughan thrives in collaborative environments, leveraging his knowledge of software engineering to create impactful AI-driven solutions. His passion for technology drives him to contribute to cutting-edge projects, making meaningful contributions to the future of AI. He is a published researcher and actively works to bridge the gap between AI theory and practice.

Profile

Google Scholar

Education

Armughan Ali is currently pursuing a Bachelor of Science in Software Engineering at HITEC University, Taxila, Pakistan (2020–2024), where he has excelled in both academic and practical aspects of software engineering. His foundation in engineering principles, coupled with a strong interest in artificial intelligence, positions him as a rising star in the field. Prior to this, Armughan completed his FSC (Pre-Engineering) from Punjab College, Wah-Cantt (2017–2019), where he honed his analytical skills and gained a solid grounding in the sciences. His academic journey has been marked by a commitment to excellence and a passion for emerging technologies, with a focus on AI, machine learning, and software development.

Experience

Armughan Ali’s professional journey includes diverse roles that showcase his versatility and expertise. As a Lab Demonstrator at Wah Engineering College (2024–present), he imparts knowledge to students and fosters a collaborative learning environment. He also serves as a Web Developer on Fiverr (2020–present), where he customizes and develops responsive websites for clients. In his previous role as a Graphic Designer at Graphic Saloon (2023–2024), he created on-brand visuals and marketing materials. Additionally, he contributed to digital solutions as a Digital Solutions Specialist at Ever-Green Corporation (2023), focusing on enhancing the company’s digital presence. He also conducted Front-End Development workshops at HITEC University in 2023, training participants on web technologies like HTML, CSS, and JavaScript. These varied experiences underscore his technical, teaching, and leadership capabilities.

Awards and Honors

Armughan Ali has received numerous accolades, affirming his talent and leadership in the tech community. He is the founder and organizer of the prestigious “CodeWar” event at HITEC University, which has become a significant programming competition. His leadership and dedication have been recognized across multiple seasons, including CodeWar Season I, II, and III (2022-2024). In addition to his role as an organizer, Armughan’s talent in math and programming has earned him awards such as the Math Genius and Speed Programming titles at TECTIQS’ 19 and 18 (IQRA University). These honors highlight his exceptional problem-solving skills and contributions to academic and extracurricular activities. His achievements reflect his commitment to advancing his skills and fostering a culture of innovation.

Certifications

Armughan Ali has demonstrated a strong commitment to expanding his technical knowledge through numerous certifications in the fields of software engineering, artificial intelligence, and machine learning. Notable certifications include IBM Full Stack Software Developer (2024), Machine Learning (2024), and Google Advanced Data Analytics (2024). Additionally, he has completed training in AI/ML, .NET FullStack Development, and deep learning, further honing his skills in these advanced domains. His continuous learning approach also led him to certifications in cybersecurity, project management, and various front-end technologies. These certifications attest to his technical proficiency and eagerness to stay ahead of industry trends. Armughan’s focus on continuous education empowers him to tackle complex challenges with confidence and agility.

Research Focus

Armughan Ali’s research interests lie at the intersection of artificial intelligence, machine learning, and healthcare. His work focuses on applying AI to solve complex real-world problems, particularly in disease detection and classification. He has co-authored several research papers on topics such as Alzheimer’s disease prediction, fake news classification, and skin cancer detection using deep learning techniques. His recent research involves the use of vision transformers for medical imaging, including cancer detection and stomach gastric detection. Armughan is also exploring the use of ensemble learning models for improving the accuracy of AI systems in real-world applications. His contributions to AI-driven healthcare research aim to advance the potential of technology in improving patient outcomes. With a deep interest in creating explainable AI models, Armughan strives to enhance transparency in AI decision-making processes.

Publication Top Notes

X-News Dataset for Online News Categorization 📊
xCViT: An Improved Vision Transformer Network for Skin Disease Classification 🧑‍⚕️
An Optimized Weighted Voting-Based Ensemble Learning Approach for Fake News Classification 📰
Enhancing Disability-Inclusive Communication Through DynaFuseNet and Transformer Models for Sign Language Interpretation 🦻
Convolutional Transformer-Based Few-Shot Learning for Stomach Gastric Detection 🍽️
Alzheimer’s Disease Prediction at Early Stage Using Vision Transformer Architecture 🧠
An Efficient Approach for Plant Leaf Disease Detection Using Vision Transformer Architecture 🌿

Jenny Miller | Religion | Best Researcher Award

Published on 30/01/202530/01/2025 by Popular EngineerLeave a Comment

Mrs. Jenny Miller | Religion | Best Researcher Award

Religion, Liverpool Hope University, United Kingdom

Rev. Jenny Miller, an ordained Interfaith Minister and scholar, holds Masters degrees in Christian Spirituality and Transpersonal Child, Adolescent & Family Therapy. With a background in law (LLB) and Transpersonal Psychotherapy, she integrates these disciplines to explore the intersections of spirituality, psychology, and interfaith studies. Jenny is the joint-winner of The World Congress of Faiths’ Essay Award 2019 and a published author in notable academic journals. As a PhD candidate at Liverpool Hope University, her research bridges Transpersonal Psychology with Mystical Theology. Jenny is also an experienced speaker at international conferences, including Oxford University’s Mystical Theology and International EUROTAS Conferences.

Profile

Orcid

Education

Jenny Miller’s academic journey began at Reading University, where she earned an LLB (Hons) in Law. She later transitioned into psychotherapy, completing a Diploma in Transpersonal Psychotherapy and an MA in Transpersonal Child, Adolescent & Family Therapy at the Centre for Counselling and Psychotherapy Education. She went on to achieve a Master’s in Christian Spirituality from Winchester University with distinction. Jenny has also undergone extensive interfaith ministry training with OneSpirit Interfaith Foundation. She is now pursuing a PhD in Theology at Liverpool Hope University, focusing on the intersection of Transpersonal Psychology and Mystical Theology.

Experience

Jenny Miller’s professional experience spans law, psychotherapy, and spiritual ministry. She began her career as a solicitor at Lovell White Durrant and Pinsent Masons before transitioning into psychotherapy. She has taught various transpersonal psychotherapy models at the Centre for Counselling and Psychotherapy Education and facilitated Sandplay Therapy training. Jenny’s voluntary work includes bereavement counselling with Wandsworth Bereavement Service and work with CAMHS and Off The Record in child and adolescent counselling. She is also an ordained Interfaith Minister and a regular contributor to academic and spiritual publications, including The Inquirer and Religions journal.

Research Focus

Jenny Miller’s PhD research bridges Transpersonal Psychology with Mystical Theology, investigating the depths of human consciousness and spirituality. Her work explores the intersection between mysticism and psychological development, seeking a transdisciplinary understanding that integrates spiritual and therapeutic practices. Jenny’s focus extends to the role of interfaith worship in spiritual growth, as well as the practical mysticism of historical figures like Florence Nightingale. Through her research, Jenny aims to contribute new insights into the field of mystical theology and transpersonal psychology, addressing their relevance to modern spiritual practices.

Publication Top Notes

“Merton’s Unity of Action and Contemplation in Transpersonal Perspective” 📝

Dr. Manami Yamaguchi | Dentistry | Best Researcher Award

Published on 22/01/202522/01/2025 by Popular EngineerLeave a Comment

Dr. Manami Yamaguchi | Dentistry | Best Researcher Award

D.D.S, Kanagawa dental University, Japan

Dr. Manami Yamaguchi is a promising orthodontist and researcher, currently completing her Master’s Program in Orthodontics at Kanagawa Dental University, Japan. She obtained her Bachelor of Dentistry from Meikai University School of Dentistry in 2021. Through her rigorous clinical and academic training, Dr. Yamaguchi has developed a keen interest in orthodontic treatment planning and skeletal growth analysis. Her research focuses on predicting final mandibular length using the cervical vertebrae, offering critical insights for more accurate and personalized orthodontic care. Dr. Yamaguchi is dedicated to advancing the orthodontic field, both through her research and her clinical practice, with an aspiration to mentor the next generation of orthodontists and researchers. Her membership in the Japanese Orthodontic Society further underpins her commitment to staying at the forefront of orthodontic science.

Profile

Orcid

Education

Dr. Manami Yamaguchi’s educational journey began at Meikai University School of Dentistry, where she earned her Bachelor of Dentistry in 2021. Building on this foundation, she pursued advanced studies at Kanagawa Dental University, where she is currently enrolled in the Master’s Program in Orthodontics, expecting to graduate in March 2024. Throughout her academic career, Dr. Yamaguchi has excelled in her studies, consistently demonstrating a strong aptitude for orthodontics and a deep interest in skeletal growth analysis. Her time at Meikai University and Kanagawa Dental University has equipped her with both theoretical knowledge and hands-on experience, enabling her to undertake cutting-edge research in predicting final mandibular length. This blend of strong academic training and research experience positions Dr. Yamaguchi as an emerging leader in the field of orthodontics.

Experience

Dr. Manami Yamaguchi’s clinical experience includes a year-long postgraduate clinical training at Showa University Dental Hospital, which took place from 2021 to 2022. During this time, she gained valuable hands-on experience in various orthodontic procedures, working alongside renowned professionals in the field. This clinical exposure allowed her to hone her skills in diagnosing and treating orthodontic conditions, particularly those related to skeletal growth. At Kanagawa Dental University, Dr. Yamaguchi has continued to integrate her clinical expertise with academic pursuits, focusing on patient-centered care and innovative treatment planning. Her clinical experience has also played a crucial role in shaping her research, particularly in the area of mandibular growth prediction. Dr. Yamaguchi’s unique ability to combine theoretical knowledge with real-world clinical practice ensures that her research directly impacts patient care and advances orthodontic science.

Research Focus

Dr. Yamaguchi’s research primarily focuses on orthodontics, with a special emphasis on skeletal growth analysis and the prediction of mandibular growth. Her current study, titled “A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae”, aims to improve the accuracy of orthodontic treatment planning by forecasting the final growth trajectory of the mandibular region based on cervical vertebral maturation. This novel approach integrates clinical examination with advanced diagnostic techniques to provide a more accurate prediction of growth patterns, leading to more personalized treatment plans for patients. Through this research, Dr. Yamaguchi seeks to bridge the gap between orthodontic science and clinical practice, offering tools that will allow practitioners to plan more effective treatments. Her work holds great promise for advancing the field of orthodontics, contributing to both scientific understanding and clinical excellence.

Publication Top Notes

A New Method of Predicting Final Mandibular Length Based on the Morphology of Cervical Vertebrae – Diagnostics 2024, 14(24), 2879 📚

Samaneh Abdi Qezeljeh | Energy and Sustainability | Best Researcher Award

Published on 17/01/202517/01/2025 by Popular EngineerLeave a Comment

Ms. Samaneh Abdi Qezeljeh | Energy and Sustainability | Best Researcher Award

PhD Researcher, Technische Universität Darmstadt, FG SLA, Germany

Samaneh Abdi Qezeljeh is a passionate researcher in the field of mechanical engineering, currently pursuing her Ph.D. at the Technical University of Darmstadt. With a solid academic background and a CGPA of 17.51/20 in her Master’s studies, she has made notable contributions to fluid mechanics, heat transfer, and energy conservation. Samaneh’s research interests encompass fluid-structure interaction (FSI), computational fluid dynamics (CFD), turbulence, bio-mechanics, and numerical simulations. Throughout her academic career, she has earned recognition for her excellent performance, ranking 5th in her Master’s cohort and 3rd in her Bachelor’s program. Her work has been published in high-impact journals such as Energies and the International Journal of Multiphase Flow. Samaneh is also highly skilled in various engineering software, including Comsol Multiphysics, Ansys-Fluent, and SolidWorks. Alongside her research, she has tutored undergraduate and graduate students at the University of Tabriz.

Profile

Education

Samaneh Abdi Qezeljeh obtained her Bachelor’s degree in Mechanical Engineering from Seraj Higher Education Institute, Tabriz, Iran, where she ranked 3rd in her class. She excelled academically with a CGPA of 17.63/20 (excluding thesis) and earned a thesis grade of 19.75/20. Her thesis focused on Incompressible Flow Simulation in a Backward-Facing Step with an Elastic Wall, highlighting her expertise in computational fluid dynamics (CFD). Samaneh continued her academic journey by pursuing a Master of Science (M.Sc.) in Mechanical Engineering with a focus on Energy Conservation at the University of Tabriz, where she achieved a CGPA of 17.51/20. Her Master’s thesis, titled “Investigation of Different Fluids on the Performance of Organic Rankine Cycle with and Without Preheater,” reflects her research interests in energy systems. Currently, she is enrolled in the Ph.D. program at Technical University of Darmstadt, focusing on fluid mechanics and thermal load peak treatment.

Experience

Samaneh Abdi Qezeljeh has gained valuable practical experience through her internship at I.D.E.M Co. (Iranian Diesel Engine Manufacturing Co.), where she worked in the Research and Development (R&D) department from July to August 2017. During this internship, Samaneh was involved in the design and modification of engines, particularly focusing on optimizing engine performance. This hands-on experience enhanced her understanding of real-world mechanical engineering challenges and deepened her knowledge of energy systems. In her academic career, Samaneh has contributed to the advancement of fluid mechanics and energy conservation research at the Technical University of Darmstadt. As a Ph.D. student, she is currently working on the study of thermal load peak treatment in turbulent aerosol flows. She has also tutored undergraduate and graduate students at the University of Tabriz, focusing on SolidWorks and CFD software, sharing her expertise and mentoring future engineers.

Research Focus

Samaneh Abdi Qezeljeh’s research focuses primarily on fluid mechanics, heat transfer, and energy systems, with a particular emphasis on computational fluid dynamics (CFD) and fluid-structure interaction (FSI). Her work also explores bio-mechanics, turbulence modeling, and numerical simulations to address real-world engineering problems. As a Ph.D. candidate at the Institute for Fluid Mechanics and Aerodynamics at Technical University of Darmstadt, Samaneh’s current research project, titled “Study of Thermal Load Peak Treatment in the Air Gap Utilizing Turbulent Aerosol Flows”, is investigating ways to optimize thermal performance in energy systems. Her previous work on the Organic Rankine Cycle has further solidified her interest in energy conservation techniques and sustainable energy solutions. Samaneh has also studied incompressible fluid flows in her Master’s thesis and has explored advanced fluid simulations, focusing on the interaction between fluids and structural elements.

Publication Top Notes

Yves Harder | Reconstructive Surgery | Best Researcher Award

Published on 10/01/202510/01/2025 by Popular EngineerLeave a Comment

Prof. Yves Harder | Reconstructive Surgery | Best Researcher Award

Department of Plastic, Reconstructive and Aesthetic Surgery and Hand Surgery Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland

Prof. Dr. Yves Harder is a leading figure in the fields of plastic, reconstructive, aesthetic surgery, and hand surgery. He currently serves as the Head and Medical Director of the Department of Plastic, Reconstructive and Aesthetic Surgery and Hand Surgery at Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland. With over 25 years of experience, Prof. Harder has a passion for advancing reconstructive microsurgery, particularly in the areas of breast and lower extremity surgery. He has authored more than 200 publications, including peer-reviewed articles and book chapters, contributing significantly to the surgical community. His work continues to inspire through both his clinical practice and ongoing research efforts, focusing on improving patient outcomes and surgical techniques in his specialties.

Profile

Orcid

Education

Prof. Harder completed his medical education at the University of Basel, Switzerland, graduating in 1994. He specialized in general surgery and plastic, reconstructive, and aesthetic surgery (FMH). His academic journey continued with a research fellowship at the Institute for Clinical and Experimental Research at the University of Saarland, Germany, where he focused on non-invasive strategies to prevent ischemic tissue necrosis. Later, he completed a clinical fellowship in reconstructive surgery at Johannesburg, South Africa. Prof. Harder continued to build on his expertise with a postdoctoral lecture qualification (Habilitation) at the University of Geneva, Switzerland. His academic career includes positions at the University Hospital Geneva, Technische Universität München, and the University of Lausanne. He currently holds the position of full professor at the University of Lausanne.

Experience

Prof. Yves Harder has extensive experience across various prestigious institutions. After completing his education, he served as a consultant surgeon at the Department of Plastic, Reconstructive and Aesthetic Surgery at the Geneva University Hospitals, Switzerland. In 2010, he moved to Germany, where he became Senior Consultant at Klinikum rechts der Isar, Munich, and Associate Professor at the Medical Faculty of the Technische Universität München. He was pivotal in building the Department of Plastic, Reconstructive, and Aesthetic Surgery in Lugano, Switzerland, which he led from 2014. In 2024, he took on the leadership of the Department of Plastic, Reconstructive and Aesthetic Surgery and Hand Surgery at the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne. He is a highly regarded educator, researcher, and clinician, dedicated to advancing reconstructive surgery techniques and improving patient care worldwide.

Research Focus

Prof. Harder’s research primarily revolves around reconstructive microsurgery, focusing on innovative approaches for breast and lower extremity reconstruction. His expertise spans lymphatic and orthoplastic surgery, with significant contributions to improving the outcomes of mastectomy and breast reconstruction procedures, including autologous fat grafting, prepectoral implant-based breast reconstruction, and non-surgical preventive strategies for ischemic flap tissue. His studies also investigate the use of nanofat in enhancing vascularization and tissue integration. Additionally, Prof. Harder has a keen interest in optimizing aesthetic surgery techniques, particularly in the field of breast aesthetics. His ongoing research endeavors seek to refine surgical approaches, minimize complications, and enhance recovery for patients undergoing reconstructive and aesthetic surgeries. Prof. Harder is also committed to educating future surgeons, actively engaging in the teaching of pre- and postgraduate students as well as residents in training.

Publication Top Notes

Sensory preservation in reduction mammoplasty using the nipple-areola complex-carrying pedicle technique for gigantomastia: A systematic review and meta-analysis 📝
Repeated Autologous Fat Grafting Significantly Increases Mastectomy Flap Thickness in Pre-Pectoral Multi-Stage Composite Expander-to-Implant Breast Reconstruction 🔬
Autologe Brustrekonstruktion und Bestrahlung: Konsensus-Bericht der Deutschsprachigen Arbeitsgemeinschaft für Mikrochirurgie (DAM) 📚
The Effects of Systemic Tranexamic Acid Administration on Drainage Volume, Length of Hospital Stay, and Postoperative Complications in Reduction Mammaplasty 💉
The Effects of Systemic Tranexamic Acid Administration on Drainage Volume, Duration of Drain Placement, and Length of Hospital Stay in Skin- and Nipple-Sparing Mastectomies with Immediate Expander-Based Breast Reconstruction 🏥
Albumin-To-Alkaline Phosphatase Ratio as a New Early Predictive Marker of Axillary Response in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy 📊
Nanofat Improves Vascularization and Tissue Integration of Dermal Substitutes without Affecting Their Biocompatibility 🧬
Smooth Operator: Nanotextured Breast Tissue Expanders Are Associated with Lower Rates of Capsular Contracture 🧪
Correction of Post-Surgical Temporal Hollowing with Adipo-Dermal Grafts: A Case Series 💉
The Influence of Inset and Shaping of Abdominal-Based Free Flap Breast Reconstruction on Patient-Reported Aesthetic Outcome Scores—A Systematic Review 🩺
Short-Term Periodic Fasting Reduces Ischemia-Induced Necrosis in Musculocutaneous Flap Tissue 🍏