Vishwanath Shervegar | Engineering | Best Researcher Award

Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

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Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications


Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025


Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024


Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023


Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023


Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022


Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.

Ziang Liu | Engineering | Best Researcher Award

Mr. Ziang Liu | Engineering | Best Researcher Award

Nanjing University | China

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Early Academic Pursuits

Mr. Ziang Liu began his academic journey with distinction at Tianjin University, where he earned his Bachelor of Science in Electronic Engineering. His strong foundation in engineering and mathematics laid the groundwork for advanced research and innovation. Continuing his academic trajectory, he pursued a Master of Science in Electronic Engineering at the prestigious Nanjing University, where he was recognized as an Outstanding Student and awarded the First-class Academic Scholarship.

Professional Endeavors

Ziang has accumulated valuable industry experience through impactful internships. At Meituan Shanghai, he served as an LLMs Evaluation Algorithm Intern, where he designed evaluation schemes and analyzed instruction-following capabilities across large language models such as Qwen, Doubao, ChatGPT 3.5/4, and Llama2-70B.  In another significant role at Alibaba DingTalk in Hangzhou, he worked on the back-end development of Chatmemo, an enterprise AI assistant. There, he implemented knowledge graph subgraph displays and integrated Retrieval-Augmented Generation (RAG), significantly boosting response speed and system performance.

Contributions and Research Focus

Mr. Liu’s core interests revolve around LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and knowledge graph technologies. He has contributed to the design and optimization of backend systems for intelligent applications in healthcare and enterprise settings. His work on deploying frameworks like Graph RAG and utilizing tools like Redis, MySQL, and Spring Boot has shown practical outcomes in real-world systems, particularly in performance optimization, load balancing, and cache management. His participation in the Nanjing University Intelligent Hospital Project resulted in a custom online medication purchasing system, complete with AI-powered Q&A capabilities and scalable backend infrastructure.

Accolades and Recognition

Ziang Liu’s academic excellence is evident through a remarkable series of accolades earned during both his undergraduate and postgraduate studies. He was honored as the Outstanding Student of Nanjing University in 2023 and received the First-class Academic Scholarship in 2022, recognizing his superior academic performance. His analytical and technical skills were demonstrated through competition achievements, including the Third Prize in the 19th Chinese Graduate Mathematical Modeling Competition (2022) and the Second Prize in the 18th Chinese Electronic Design Competition (2023). Earlier in his academic journey, he was named a Meritorious Winner in the Mathematical Contest in Modeling (MCM) in 2021 and was recognized as an Outstanding Graduate of Tianjin University in 2022. These accomplishments reflect his consistent dedication, innovation, and leadership in engineering and applied mathematics.

Impact and Influence

Ziang Liu’s work has made a tangible impact in both academia and industry. His efforts in improving instruction-following performance in LLMs and optimizing backend systems for enterprise AI applications have proven valuable for real-world implementation. His innovations in intelligent hospital systems demonstrate a commitment to applying advanced AI technologies to enhance societal well-being and operational efficiency.

Legacy and Future Contributions

Poised at the intersection of AI, backend engineering, and applied innovation, Mr. Ziang Liu is emerging as a key contributor to the next generation of AI infrastructure. His hands-on experience with cutting-edge technologies like gRPC, GraphRAG, JWT, and multi-threaded optimization positions him to drive future advancements in AI systems, enterprise platforms, and digital healthcare. With a strong academic record and robust technical expertise, he is well on his way to becoming a leading voice in intelligent systems development.

 

 

Publications


Channel-Dependent Multilayer EEG Time-Frequency Representations Combined with Transfer Learning-Based Deep CNN Framework for Few-Channel MI EEG Classification

Authors: Ziang Liu, Kang Fan, Qin Gu, Yaduan Ruan
Journal: Bioengineering
Year: 2025


Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection

Authors: Weidong Dang, Dongmei Lv, Linge Rui, Ziang Liu, Guanrong Chen, Zhongke Gao
Journal: IEEE Sensors Journal
Year: 2021


Md. Kamrul Hasan | Engineering | Best Researcher Award

Mr. Md. Kamrul Hasan | Engineering | Best Researcher Award

Teesta University | Bangladesh 

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🌱 Early Academic Pursuits

Mr. Md. Kamrul Hasan’s journey into the world of electrical and electronic engineering began with a strong foundation in science during his secondary and higher secondary education in Rangpur, Bangladesh. His consistent academic excellence laid the groundwork for his admission to the prestigious Islamic University. There, he earned both his B.Sc. and M.Sc. in Electrical and Electronic Engineering. His master's thesis on thermoelectric modules for energy harvesting sparked his enduring passion for sustainable energy research.

🛠️ Professional Endeavors

Currently serving as the Head of the Department of Electrical and Electronic Engineering at Teesta University, Rangpur, Mr. Hasan is not only an academic leader but also an innovative educator. He has been shaping young minds while managing departmental strategy and academic excellence. He also leads the university’s Sustainable and Renewable Energy Research Laboratory, which he founded to foster innovation in green technologies. His professional engagements include industrial attachments at BRB Cable Industry and coordination of student activities such as project fairs and seminars.

🔬 Contributions and Research Focus

Mr. Hasan’s research portfolio demonstrates a strong commitment to sustainable solutions and advanced materials. His core focus areas include thermoelectric generators and coolers, solar photovoltaics, thin-film technologies, radar systems, and biomedical applications. He has contributed significantly through simulation and experimental studies, particularly using COMSOL Multiphysics, to optimize materials like Bi₂Te₃, PbTe, and FAPbI₃ for energy and health applications. Notable projects include synthesis of nanoparticles for anticancer use and design of automated systems for sterilization in medical settings.

🏆 Accolades and Recognition

Mr. Hasan’s contributions have been acknowledged through prestigious research fellowships and scholarships, including the National Science and Technology (NST) Fellowship and multiple university merit awards. His research work has been published in internationally reputed journals such as ACS PhotonicsThermoNext Research, and Journal of Alloys and Metallurgical Systems. He also serves as a reviewer for several Elsevier journals, reflecting his peer recognition in global scientific communities.

🌍 Impact and Influence

His work on thermoelectric and photovoltaic technologies has direct implications for developing sustainable energy solutions in resource-constrained environments like Bangladesh. By mentoring students and leading interdisciplinary teams, he is creating a research culture rooted in real-world impact. His outreach includes cross-sectional studies on public health, educational equity, and the socio-economic impact of COVID-19, showcasing his commitment beyond engineering to societal development.

🔮 Legacy and Future Contributions

Mr. Hasan envisions transforming Teesta University into a hub of green innovation through research, industry collaboration, and student empowerment. His future goals include expanding the research lab’s scope to integrate artificial intelligence with energy systems and scaling his thermoelectric solutions for national deployment. His legacy will be defined by a blend of academic brilliance, leadership, and a deep-rooted desire to serve society through science and sustainability.

Publications


📄Numerical Optimization of Multi-Stage Thermoelectric Cooling Systems Using Bi₂Te₃ for Enhanced Cryosurgical Applications

 Authors: Akram Kharmouch, Md. Kamrul Hasan, El Yatim Sabik, Hicham Bouali, Hayati Mamur, Mohammad Ruhul Amin Bhuiyan
 JournalThermo
 Year:  2025


📄Enhancing PV Performance of Al/ZnO/CdS/GaAs/NiO/Au Solar Cells Through Diverse Layer Combinations by SCAPS-1D

 Authors: Md. Salman Shah, Md. Kamrul Hasan, Sharat Chandra Barman, Jubaer Ahamed Bhuiyan, Hayati Mamur, Mohammad Ruhul Amin Bhuiyan
 JournalNext Research
 Year: 2025


📄Optimizing Layer Configuration and Material Selection to Enhance CIGS Solar Cell Performance Through Computational Simulation

 Authors: Sawrab Sikder, Md. Kamrul Hasan, Hayati Mamur, Mohammad Ruhul Amin Bhuiyan
 JournalHybrid Advances
 Year: 2025


📄Enhancing Bi₂Te₂.70Se₀.30 Thermoelectric Module Performance Through COMSOL Simulations

 Authors: Md. Kamrul Hasan, Mehmet Ali Üstüner, Hayati Mamur, Mohammad Ruhul Amin Bhuiyan
 JournalThermo
 Year: 2024


📄Influence of Leg Geometry on the Performance of Bi₂Te₃ Thermoelectric Generators

 Authors: Md. Kamrul Hasan, Mehmet Ali Üstüner, Haluk Korucu, Mohammad Ruhul Amin Bhuiyan, Hayati Mamur
 JournalGazi University Journal of Science
Year: 2024


Songhua Yan | Engineering | Best Researcher Award

Prof. Songhua Yan | Engineering | Best Researcher Award

Capital Medical University | China

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🎓 Early Academic Pursuits

Prof. Songhua Yan embarked on an academic journey in sports biomechanics at Beijing Sports University, where he obtained his B.S. in Exercise & Sports Science (1998). His passion for biomechanics led him to pursue an M.S. (2001) and a Ph.D. (2004) in Sports Biomechanics from the same institution. During these formative years, he cultivated a deep understanding of human movement, biomechanics, and rehabilitation, laying the groundwork for his future research and contributions.

🏅 Professional Endeavors

Prof. Yan has had an illustrious career in biomedical engineering and rehabilitation sciences. Since 2004, he has been a faculty member at the Biomedical Engineering School, Capital Medical University, Beijing. He served as an Assistant Professor from 2004 to 2009 and has been an Associate Professor since 2010. His commitment to advancing biomechanics and rehabilitation engineering was further enriched during his tenure as a visiting scholar in Motor Behavior at Peking University (2012–2013). His collaborations with hospitals and medical institutions have facilitated cutting-edge research in gait analysis and rehabilitation techniques.

🔬 Contributions and Research Focus

Prof. Yan's research is centered on the biomechanical characteristics of lower extremities, particularly in obese children, children with cerebral palsy, and patients with Knee Osteoarthritis (KOA). His expertise includes gait analysis, knee proprioception, neuromuscular control, and rehabilitation engineering. He employs advanced biomechanical methods, such as kinematics, kinetics, electromyography (EMG), and electroencephalography (EEG), to evaluate and improve movement function. His research has led to groundbreaking studies on knee joint replacement surgeries, gait abnormalities, and balance control. He has spearheaded multiple national and provincial research projects, receiving prestigious funding, including the Top Young Talents Cultivation Program of Beijing Municipal Universities.

🏆 Accolades and Recognition

Prof. Yan has gained significant recognition for his contributions to biomechanics and rehabilitation. He is an esteemed member of the Rehabilitation Engineering Professional Committee of the Beijing Rehabilitation Medicine Association and the Elderly Health Management Branch of the Beijing Health Management Association. Additionally, he serves as an editorial board member for the Journal of Medical Biomechanics, contributing to the dissemination of pioneering research in the field.

🌍 Impact and Influence

With a prolific publication record of over 60 academic papers in leading international and domestic journals, Prof. Yan has significantly influenced the field of biomechanics and rehabilitation engineering. His expertise has been instrumental in advancing gait analysis techniques, understanding movement disorders, and developing innovative rehabilitation strategies. His research on knee osteoarthritis and prosthetic designs has directly impacted clinical practices, enhancing the quality of life for patients.

🔮 Legacy and Future Contributions

Prof. Yan continues to shape the future of biomechanics and rehabilitation engineering through ongoing research and mentorship. His dedication to advancing gait analysis, proprioception studies, and rehabilitation robotics is paving the way for innovative therapeutic interventions. His legacy lies in his unwavering commitment to improving mobility and rehabilitation outcomes for individuals with movement disorders. As he continues to lead pioneering research, his contributions will leave a lasting imprint on the fields of sports biomechanics, prosthetics, and rehabilitation medicine.

 

Publications


📄 Short-term Effect of Unicompartmental Knee Arthroplasty on Muscle Coordination in Patients with Knee Osteoarthritis
Author: Zhixin Jin, Jingnan Shi, Haohua Zhang, Kuan Zhang, Xinglong Zhou, Songhua Yan
Journal: Clinical Biomechanics
Year: 2025


📄 Effects of Total Knee Arthroplasty on Proprioception in Patients with Knee Osteoarthritis
Author: Zhang Quan, Shi Jingnan, Zhang Kuan, Zhang Haohua, Yan Songhua
Journal: Journal of Medical Biomechanics
Year: 2024


📄 The Effect of Thigh Muscle Forces on Knee Contact Force in Female Patients with Severe Knee Osteoarthritis
Author: Liu Tingting, Xie Hao, Yan Songhua, Zeng Jizhou, Zhang Kuan
Journal: Bioengineering
Year: 2024


📄 Effects of Total Knee Arthroplasty on Proprioception in Patients with Knee Osteoarthritis
Author: Zhang Quan, Shi Jingnan, Zhang Kuan, Zhang Haohua, Yan Songhua
Journal: Yiyong Shengwu Lixue/Journal of Medical Biomechanics
Year: 2024


📄 Dynamic Electromyography Findings of the Lower Leg Muscles During Walking in Spastic Cerebral Palsy Children with Hindfoot Valgus
Author: Xuesen Wang, Xiaohu Fu, Wei Li, Qining Wang, Kuan Zhang, Songhua Yan
Journal: Clinical Biomechanics
Year: 2023


Yunlong Liu | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Dr. Yunlong Liu | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Tiangong University | China

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🎓 Early Academic Pursuits

Dr. Yunlong Liu was born in August 1995 in Chengde, Hebei Province, China. His academic journey began with a strong foundation in the biological sciences, which led him to pursue a Ph.D. in Biochemistry and Molecular Biology at China Agricultural University from 2018 to 2023. During his doctoral studies, he delved into structural biology, focusing on unraveling the molecular mechanisms of transcriptional regulation mediated by nuclear receptors and other transcription factors. His exceptional research prowess and dedication earned him prestigious accolades, such as the National Ph.D. Scholarship and the Outstanding Doctoral Dissertation Award.

👨‍🏫 Professional Endeavors

Since August 2023, Dr. Liu has been serving as a Lecturer at the College of Life Sciences, Tiangong University. His transition from a promising Ph.D. scholar to a faculty member highlights his commitment to academia and scientific research. His role involves not only imparting knowledge to the next generation of scientists but also continuing his cutting-edge research in structural biology and transcriptional regulation.

🔬 Contributions and Research Focus

Dr. Liu's research is centered on understanding the structural and functional dynamics of nuclear receptors and transcription factors. He has determined seven crystal structures of protein monomers, protein-protein complexes, and protein-nucleic acid complexes. His work led to the identification of a nuclear receptor inhibitor with 100-fold enhanced efficacy, marking a significant breakthrough in molecular biology. His research contributions are reflected in his publications, including a sole first-author paper in Nucleic Acids Research with an impact factor of 19.16, as well as co-authored papers in Cell Discovery with an impact factor of 38.1 and the Journal of Biological Chemistry with an impact factor of 5.8. He has also played a crucial role in leading prestigious research projects, such as the National Natural Science Foundation of China and the Tianjin Top Scientist Studio Program, securing substantial funding for his research. His studies contribute to a deeper understanding of transcriptional regulation, a crucial aspect in fields like genetics, cancer research, and pharmaceutical development.

🏆 Accolades and Recognition

Dr. Liu’s remarkable contributions to structural biology have been acknowledged with numerous awards. He received the Outstanding Doctoral Dissertation Award and the Outstanding Ph.D. Graduate Award from China Agricultural University in 2023. In 2022, he was awarded the National Ph.D. Scholarship, ranking second in his college. During his undergraduate years, he secured the Second Prize in the National Mathematical Modeling Competition in 2016 and was a recipient of the National Inspirational Scholarships in 2016 and 2017. He was also honored as an Outstanding Graduate in 2018. These accolades highlight his exceptional academic excellence and research contributions.

🌍 Impact and Influence

Dr. Liu’s groundbreaking work has significantly influenced the field of structural biology, particularly in transcriptional regulation. His high-impact publications and research findings pave the way for advancements in drug discovery, genetic regulation, and medical therapeutics. By identifying novel molecular mechanisms and inhibitors, his work has the potential to drive innovations in treating diseases linked to transcriptional dysregulation, such as cancer and metabolic disorders. Beyond research, Dr. Liu's role as a lecturer enables him to inspire and mentor young scientists. His transition from a student to a faculty member positions him as a role model for aspiring biochemists and molecular biologists.

🚀 Legacy and Future Contributions

Looking ahead, Dr. Liu is set to make even more substantial contributions to the scientific community. His ongoing research projects, including those funded by national and provincial grants, will continue to advance the understanding of transcriptional regulation. With his expertise in structural biology and biochemistry, he is poised to make further discoveries that will shape the future of molecular medicine. As he continues his academic journey, Dr. Liu’s legacy will be defined by his unwavering dedication to science, his contributions to groundbreaking research, and his role in nurturing the next generation of scientists. His story is a testament to the power of perseverance, intellect, and scientific curiosity in pushing the boundaries of knowledge.

 

Publications


  • 📄The Progress and Evolving Trends in Nucleic-Acid-Based Therapies
    Authors: Yunlong Liu, Chunmiao Wang, Xiuping Fu, Mengtian Ren
    Journal: Biomolecules
    Year: 2025


  • 📄Structural Basis of Nucleic Acid Recognition and 6mA Demethylation by Caenorhabditis elegans NMAD-1A
    Authors: Guohui Shang, Meiting Yang, Min Li, Lulu Ma, Yunlong Liu, Jun Ma, Yiyun Chen, Xue Wang, Shilong Fan, Mengjia Xie, et al.
    Journal: International Journal of Molecular Sciences
    Year: 2024


  • 📄Structures of Human TR4LBD–JAZF1 and TR4DBD–DNA Complexes Reveal the Molecular Basis of Transcriptional Regulation
    Authors: Yunlong Liu, Lulu Ma, Min Li, Zizi Tian, Meiting Yang, Xi Wu, Xue Wang, Guohui Shang, Mengjia Xie, Yiyun Chen, et al.
    Journal: Nucleic Acids Research
    Year: 2023


  • 📄Structures of MPND Reveal the Molecular Recognition of Nucleosomes
    Authors: Meiting Yang, Xiaorong Li, Zizi Tian, Lulu Ma, Jun Ma, Yunlong Liu, Guohui Shang, Ailing Liang, Wei Wu, Zhongzhou Chen
    Journal: International Journal of Molecular Sciences
    Year: 2023


  • 📄Structural Insights into the Interactions and Epigenetic Functions of Human Nucleic Acid Repair Protein ALKBH6
    Authors: Lulu Ma, Hongyun Lu, Zizi Tian, Meiting Yang, Jun Ma, Guohui Shang, Yunlong Liu, Mengjia Xie, Guoguo Wang, Wei Wu, et al.
    Journal: Journal of Biological Chemistry
    Year: 2022


 

Almas Kiran | Chemical Engineering | Best Researcher Award

Ms. Almas Kiran | Chemical Engineering | Best Researcher Award

Qingdao Bioenrgy and Bioprocess Technology Shandong Institute | China 

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Early Academic Pursuits 🎓

Ms. Almas Kiran’s academic journey is a testament to her dedication to the field of analytical chemistry and nanotechnology. She began her higher education at the University of Sindh, Pakistan, earning a B.S. in Analytical Chemistry (2010–2015). Her passion for scientific research led her to pursue a Master's degree at Dalian University of Technology, China (2018–2021), where she honed her expertise in analytical techniques and materials chemistry. Her relentless pursuit of knowledge culminated in a PhD from QIBEBT Bioenergy and Bioprocess Technology, China (2023–2024), specializing in cutting-edge research on wearable electrochemical biosensors and nano energy devices.

Professional Endeavors 🏆

Ms. Kiran’s professional journey is marked by diverse roles in academia and research. She began as an internee at the Examinations Wing of the University of Sindh and later served as Vice Principal and Instructor at Iqra Academy, Jamshoro. Her international experience includes working as a researcher at Zhang Dayu School, Dalian University of Technology, where she explored wearable sensors, electrochemical stations, and nanotechnology. Currently, she is a senior researcher at QIBEBT Bioenergy and Bioprocess Technology, where she actively contributes to groundbreaking research in smart sensors and sustainable energy solutions.

Contributions and Research Focus 🔬

Ms. Kiran’s research spans multiple frontiers of science and technology. She has significantly contributed to the development of:

  • Wearable electrochemical biosensors for non-invasive health monitoring (sweat, saliva, tear-based sensing).
  • Nano energy devices that power next-generation self-sustained smart sensors.
  • Graphene-based nanomaterials for high-performance sensing applications.
  • Microfluidics and nano-fabrication techniques for advanced electronic devices.
    Her expertise extends to asymmetric polymerization, chiral catalyst design, and advanced characterization techniques such as NMR, HPLC, and glove box applications.

Accolades and Recognition 🏅

Ms. Kiran’s excellence in research is reflected in her scientific publications and international collaborations. She has authored multiple impactful papers on flexible biosensors and nanomaterials, including studies on dopamine and uric acid detection and Berlin green-printed smart sensors. Her innovative work in lactide polymerization has garnered attention in the field of polymer science. She has also received prestigious training certifications, including advanced analytical techniques and RETSCREEN software from Canada.

Impact and Influence 🌍

Ms. Kiran’s research has a profound impact on healthcare and wearable technology. Her work on flexible biosensors is shaping the future of non-invasive diagnostics, offering new possibilities for real-time health monitoring. She plays an instrumental role in advancing nano energy solutions, bridging the gap between sustainable energy and smart healthcare devices. Through her contributions, she is inspiring the next generation of researchers in materials science and bioelectronics.

Legacy and Future Contributions 🚀

With her pioneering spirit and relentless pursuit of scientific innovation, Ms. Almas Kiran is poised to make significant contributions to the fields of wearable biosensors, nanotechnology, and smart healthcare. Her future endeavors will likely focus on enhancing biosensor sensitivity, developing sustainable nano energy solutions, and expanding interdisciplinary collaborations worldwide. Her legacy will be one of groundbreaking research and transformative technological advancements that redefine the landscape of biomedical science and energy applications.

Publications


📄 Exploring the Catalytic Efficiency of Lithium Bis(trimethylsilyl)amide (LiHMDS) in Lactide Polymerization
Author(s): A. Kiran, A.C. Kingsley, H. Ahmed
Journal: Polymers (20734360)
Year: 2025


📄 Flexible Screen-Printed Sensor for the Detection of Dopamine and Uric Acid
Author(s): A. Kiran
Journal: China Academic Journal Electronic Publication
Year: 2021


📄 Wearable Helical Molybdenum Nitride Supercapacitors for Self-Powered Healthcare Smart Sensors
Author(s): F. Lv, H. Ma, L. Shen, Y. Jiang, T. Sun, J. Ma, X. Geng, A. Kiran, N. Zhu
Journal: ACS Applied Materials & Interfaces
Year: 2021


📄 Wearable Biomolecule Smart Sensors Based on One-Step Fabricated Berlin Green Printed Arrays
Author(s): J. Ma, Y. Jiang, L. Shen, H. Ma, T. Sun, F. Lv, A. Kiran, N. Zhu
Journal: Biosensors and Bioelectronics
Year: 2019


Hyoungsoo Kim | Engineering | Best Researcher Award

Assoc. Prof. Dr. Hyoungsoo Kim | Engineering | Best Researcher Award

KAIST | South Korea

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🎓 Early Academic Pursuits

Assoc. Prof. Dr. Hyoungsoo Kim began his academic journey with a deep-rooted passion for fluid mechanics and engineering. He earned his Bachelor's degree in Mechanical Engineering from Kumoh National Institute of Technology, South Korea, graduating Summa Cum Laude in 2006. His undergraduate research focused on numerical analysis of microflows in microchannels. Continuing his academic excellence, he pursued a Master’s degree at KAIST, where he worked on controlling electroosmotic flow in microchannels using thermal fields. His doctoral studies at Delft University of Technology in the Netherlands further honed his expertise, culminating in a thesis titled Moving Liquid Droplets with Inertia: Experiment, Simulation, and Theory, under the guidance of Professor Jerry Westerweel.

🎨 Professional Endeavors

Dr. Kim's professional journey reflects an unwavering commitment to experimental fluid mechanics and interdisciplinary research. His early postdoctoral experience at Seoul National University and Princeton University, where he worked with Professor Ho-Young Kim and Professor Howard A. Stone, respectively, laid the foundation for his groundbreaking research. He served as an Associate Research Scholar at Princeton before joining KAIST as an Assistant Professor in 2017. In 2021, he was promoted to Associate Professor at KAIST’s Department of Mechanical Engineering. Dr. Kim has also contributed as a Visiting Scholar at Harvard University’s School of Engineering and Applied Sciences and as an Editorial Advisory Board Member for Experiments in Fluids since 2019.

👩‍🔬 Contributions and Research Focus

Dr. Kim's research revolves around experimental fluid mechanics, focusing on physicochemical hydrodynamics, thin film and interfacial flows, colloids and interfaces, and micro- and bio-fluidics. His work spans multiple scales, from nanoscale to macroscale, with applications in environmental pollution, COVID-19-related respiratory diseases, and material transport in multiscale channels. Leveraging advanced optical measurement techniques, he explores interfacial instabilities, droplet dynamics, viscoelastic fluid behavior, and evaporation processes. His research has resulted in significant theoretical models and scaling analyses that contribute to the understanding of multiphase flows and soft matter hydrodynamics.

🏆 Accolades and Recognition

Dr. Kim's exceptional contributions to fluid mechanics and engineering have been widely recognized. He has secured over $5.5 million USD in research grants since joining KAIST and has published 49 high-impact journal papers, including articles in Nature Physics, Nature Communications, ACS Nano, Advanced Science, and Physical Review Letters. His research has received 2,241 citations, with an H-index of 23 and an FWCI of 1.69 in Mechanical Engineering. Some of his studies have been highlighted in Physics, Nature Physics, The New York Times, and Chosun Ilbo. His patent portfolio includes numerous domestic and international patents related to medical devices, negative pressure systems, and quantum dot patterning technologies.

🌐 Impact and Influence

Dr. Kim’s research has far-reaching implications across multiple disciplines. His work on interfacial instability and solutal-Marangoni flows has advanced the understanding of complex fluid behaviors. His patented technologies, including cyclone negative pressure masks and modular negative pressure facilities, have been pivotal in enhancing personal protective equipment and medical chamber designs. Moreover, his studies on liquid metal and metamaterials have influenced the development of stretchable electronics and anti-icing coatings. His collaborations with industrial partners such as Shinsung E&G and Woojung Bio have facilitated technology transfer, further extending the impact of his research into real-world applications.

🌟 Legacy and Future Contributions

As a leading figure in experimental fluid mechanics, Dr. Kim continues to push the boundaries of interfacial hydrodynamics and multiphase flows. His work is expected to drive innovations in biomedical engineering, environmental sustainability, and advanced materials. His commitment to mentoring young researchers and fostering interdisciplinary collaborations ensures that his legacy will endure through the next generation of scientists and engineers. With ongoing research projects in nanofluidics, soft matter physics, and energy-efficient transport systems, Dr. Kim remains at the forefront of pioneering fluid mechanics research, shaping the future of the field.

 

Publications


  • 📄 Cyclone negative pressure pump for efficient purification of airborne contaminants

    • Journal: Indoor Environments
    • Year: 2025
    • Authors: Gihyun Song, Kyungcheol Jang, Woobin Song, Wonchul Choi, Simon Song, Hyoungsoo Kim

  • 📄 Single theoretical model for breakup of viscous thread with and without a fiber

    • Journal: Physical Review Fluids
    • Year: 2024
    • Authors: Hyejoon Jun, Hyoungsoo Kim

  • 📄 Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing

    • Journal: Chemical Engineering Journal
    • Year: 2024
    • Authors: Taehyub Lee, Jeong-Hwan Kim, Chin Siang Ng, Alberto Andreu, Insup Kim, Wonhee Lee, Hyoungsoo Kim, Pei-Chen Su, Yong-Jin Yoon

  • 📄 Vapor distribution changes evaporative flux profiles of a sessile droplet

    • Journal: Journal of Colloid and Interface Science
    • Year: 2023
    • Authors: Minhyeok Kuk, Jeongsu Pyeon, Hyoungsoo Kim

  • 📄 Plasmonic metasurfaces of cellulose nanocrystal matrices with quadrants of aligned gold nanorods for photothermal anti-icing

    • Journal: Nature Communications
    • Year: 2023
    • Authors: Jeongsu Pyeon, Soon Mo Park, Juri Kim, Jeong-Hwan Kim, Yong-Jin Yoon, Dong Ki Yoon, Hyoungsoo Kim

 

Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Dr. Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Islamic Azad University, Mashhad | Iran

Author Profile

Scopus

Early Academic Pursuits 🎓

Dr. Zendehbad’s academic journey began with a strong foundation in electronic and information technology engineering. He pursued multiple degrees, culminating in a Ph.D. in Biomedical Engineering from the Islamic Azad University of Mashhad. His doctoral research focused on improving upper limb function in stroke patients using biofeedback and muscle synergy analysis—an innovative approach with profound implications for rehabilitation science.

Professional Endeavors 👨‍🏫

Dr. Zendehbad has an impressive academic career as a professor and head of the Biomedical Engineering department at various prestigious institutions. He has taught specialized courses such as neuromuscular system control, biological system modeling, and biomedical research methodologies. Beyond academia, he has contributed to industry research, including the development of imaging quality enhancements for functional hard endoscopes.

Contributions and Research Focus 🔬

Dr. Zendehbad’s research primarily focuses on:
✅ Electromyogram (EMG) signal classification and analysis
✅ Muscle synergy patterns in stroke rehabilitation
✅ AI-driven biofeedback and assistive technologies
✅ Telehealth solutions and trustworthy AI applications in medical engineering

His work in stroke rehabilitation, particularly in biofeedback mechanisms and AI-driven recovery systems, has set new benchmarks in the field.

Accolades and Recognition 🏅

Dr. Zendehbad’s pioneering work has been recognized with several prestigious awards:
🏆 First Place - 31st Congress of Neurology and Clinical Electrophysiology (2024)
🏆 First Place - Shahid Beheshti University Startup Competition in Telerehabilitation (2021)
🏆 First Place - Mashhad University of Medical Sciences Startup Competition (2020)

These accolades reflect his outstanding contributions to medical engineering and rehabilitation technologies.

Impact and Influence 🌍

Dr. Zendehbad’s research has had a profound impact on both academia and industry. His contributions to AI-driven rehabilitation technologies have paved the way for more effective stroke recovery methods. Additionally, his role in startup competitions has facilitated innovation in telehealth and telerehabilitation, making cutting-edge healthcare solutions more accessible.

Legacy and Future Contributions 🚀

Dr. Zendehbad continues to push the boundaries of biomedical engineering. His ongoing research in AI applications for fatigue detection (FatigueNet project) and telehealth ethics (Trustworthy AI in Telehealth) demonstrates his forward-thinking approach. His legacy will undoubtedly inspire future researchers and innovators in the field of bioelectric engineering and medical technology.

 

Publications


📄 TraxVBF: A Hybrid Transformer-xLSTM Framework for EMG Signal Processing and Assistive Technology Development in Rehabilitation

  • Authors: Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari
  • Journal: Sensing and Bio-Sensing Research
  • Year: 2025

📄 Identifying The Arm Joint Dynamics Using Muscle Synergy Patterns and SVMD-BiGRU Hybrid Mechanism

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: Frontiers in Biomedical Technologies
  • Year: 2024

📄 Presenting a New Muscle Synergy Analysis Based Mechanism to Design a Trackable Visual Biofeedback Signal: Applicable to Arm Movement Recovery After Ischemic Stroke

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: IEEE Access
  • Year: 2023

📄 A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: The Neuroscience Journal of Shefaye Khatam
  • Year: 2023

📄 Investigation and Analysis of Feature Extraction Methods Based on Multi-Objective Genetic Algorithm and Support Vector Machine for Classification of Electromyogram Signals of Arm Muscles

  • Authors: Seyyed Ali Zendehbad, Siyamak Haghipour, Hamid Reza Kobravi, Seyyed Amir Zendehbad
  • Journal: Journal of New Research in Engineering Sciences
  • Year: 2016

 

Zhengzhi Mu | Materials Science | Best Researcher Award

Assoc. Prof. Dr. Zhengzhi Mu | Materials Science | Best Researcher Award

Jilin University | China

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 📚

Assoc. Prof. Dr. Zhengzhi Mu embarked on an extraordinary academic journey marked by excellence and interdisciplinary focus. He earned his Bachelor's degree in Food Science and Engineering (2009–2013) and continued to achieve a Ph.D. in Bionic Science and Engineering from Jilin University (2013–2019). His studies extended to the University of Michigan-Ann Arbor, where he served as a joint Ph.D. candidate in Chemical Engineering (2016–2018). These formative years laid the foundation for his expertise in biomimetic structures and bio-inspired composites, blending engineering principles with nature's ingenuity.

Professional Endeavors 🏢

Dr. Mu's career has been distinguished by diverse roles at leading institutions worldwide. After completing his Ph.D., he served as a postdoctoral researcher at Jilin University's School of Mechanical and Aerospace Engineering (2019–2022). He was a visiting scientist at RWTH Aachen University, Germany, in 2023, further enriching his expertise in material applications in mechanical engineering. His international engagements also include research at the Biointerfaces Institute, University of Michigan-Ann Arbor, emphasizing his commitment to global collaboration in bionic engineering.

Contributions and Research Focus 🧪

Dr. Mu's research interests encompass biomimetic structures, bio-inspired composites, and bionic engineering. His contributions include over 30 peer-reviewed publications with a Google Scholar citation count exceeding 900 and an h-index of 15. Noteworthy works like his 2023 review on lightweight structural biomaterials in Biomimetics reflect his dedication to advancing sustainable engineering inspired by nature. His innovations extend to patents, with 33 issued out of 45 applied, and pioneering contributions in interfacial reinforcement of carbon fiber composites and bio-inspired flexible strain sensors.

Accolades and Recognition 🏆

Dr. Mu has received numerous prestigious awards, including the High-level Talents designation in Jilin Province (2023) and the Outstanding Postdoctoral Research Fellow accolade at Jilin University (2021). His innovative work has been celebrated globally, with honors like the International Bionic Engineering Award (2019) and the National Excellent Ph.D. Dissertation Award in China (2019, 2020). These accolades underscore his exceptional contributions to bionic engineering and applied sciences.

Impact and Influence 🌍

As an active member of esteemed organizations such as the International Society of Bionic Engineering (ISBE) and the American Chemical Society (ACS), Dr. Mu plays a vital role in advancing the scientific community. His editorial responsibilities for journals like Biomimetics and Nanomaterials demonstrate his commitment to shaping the future of bionic research. His expertise has been showcased at prominent international conferences, where he has delivered influential presentations on bio-inspired innovations.

Legacy and Future Contributions 🌟

Assoc. Prof. Dr. Zhengzhi Mu's work stands at the intersection of science, engineering, and nature. His ongoing contributions to biomimetic materials and bionic systems hold promise for sustainable development and transformative technologies. As he continues to mentor emerging scientists and collaborate across disciplines, his legacy will inspire the next generation of researchers to harness nature's designs for innovative solutions.

 

Publications


📜 Bionic Inner-Tapered Energy Absorption Tube Featuring Progressively Enhanced Fold Deformation Mode
  Journal: Biomimetics
 Year: 2024
Authors: Shuang Zhang, Zhengzhi Mu, Wenda Song, Zhiyan Zhang, Hexuan Yu, Binjie Zhang, Zhiwu Han, Luquan Ren


📜 High-Toughness Epoxy-Based Composites with a Bioinspired Three-Dimensional Interconnected Skeleton for Photothermal Conversion Applications
  Journal: Nano Letters
Year: 2024
Authors: Zhiyan Zhang, Yufei Wang, Zhengzhi Mu, Wenda Song, Shuang Zhang, Jialve Sun, Hexuan Yu, Hanliang Ding, Shichao Niu, Zhiwu Han, et al.


📜 A Durable Triboelectric Nanogenerator with a Coaxial Counter-Rotating Design for Efficient Harvesting of Random Mechanical Energy
  Journal: Nano Energy
  Year: 2023
Authors: Ma, G.; Wang, D.; Wang, J.; Li, J.; Wang, Z.; Li, B.; Mu, Z.; Niu, S.; Zhang, J.; Ba, K., et al.


📜 Advanced Bio-Inspired Mechanical Sensing Technology: Learning from Nature but Going Beyond Nature
  Journal: Advanced Materials Technologies
Year: 2023
Authors: Xin, Q.; Zhang, J.; Han, Z.; Zhao, H.; Hou, T.; Liu, Y.; Niu, S.; Han, Q.; Mu, Z.; Li, B., et al.


📜 Bacteria Engineered with Intracellular and Extracellular Nanomaterials for Hierarchical Modulation of Antitumor Immune Responses
 Journal: Materials Horizons
Year: 2023
Authors: Song, P.; Han, X.; Li, X.; Cong, Y.; Wu, Y.; Yan, J.; Wang, Y.; Wang, X.; Mu, Z.; Wang, L., et al.


 

Subhash Chandra Yadav | Health Professions | Best Researcher Award

Prof. Dr. Subhash Chandra Yadav | Health Professions | Best Researcher Award

All India Institute of Medical Sciences, New Delhi | India

Author Profile

Scopus

Google Scholar

Early Academic Pursuits 🎓

Prof. Dr. Subhash Chandra Yadav began his academic journey with an MSc in Biotechnology from Banaras Hindu University (BHU), Varanasi, in 2003. His thirst for knowledge led him to pursue a Ph.D. in Molecular Biology at BHU, which he completed in 2007 under the mentorship of Prof. Jagannadham V. Medicherla. His doctoral research focused on "Milin," a highly stable glycosylated dimeric plant serine protease from Euphorbia milii, examining its structure, function, folding, and crystallographic properties. During his academic development, he also gained international exposure as a research trainee at the Institute of Crystallography, Free University (FU) Berlin, Germany, from September 2005 to April 2006, where he honed his skills in protein structural biology.

Professional Endeavors and Milestones 💼

Dr. Yadav's illustrious career spans prestigious institutions globally:

  • Postdoctoral Fellowships: He worked on molecular biophysics at the Indian Institute of Science (IISc), Bangalore, and at the Graduate School of Medicine, University of Tennessee, USA.
  • Research and Leadership Roles: As a Scientist and In-Charge of Nanobiology and Electron Microscopy Facility at CSIR-IHBT, Palampur, and Fellow at TERI-Deakin Nanobiotechnology Centre, he spearheaded cutting-edge research.
  • Academic Excellence: He has been serving All India Institute of Medical Sciences (AIIMS), New Delhi, since 2015, rising to the role of Additional Professor. He was also a Visiting Professor at Stanford University, USA, in 2019-2020.

Contributions and Research Focus 🔬

Dr. Yadav’s research interests are at the confluence of nanotechnology, molecular biology, and microscopy:

  • Electron Microscopy and Cryo-Electron Tomography: Advancing the understanding of cellular structures at atomic resolution.
  • Nano-enabled Diagnostic Tools: Innovating methods for rapid and accurate disease detection.
  • Targeted Drug Delivery Systems: Developing nanoparticles for precise therapeutics.

His work includes over 6,630 citations, with an h-index of 18, reflecting the impact of his research. His patent portfolio includes innovative detection kits, cancer diagnostics, and nanotechnology-based systems.

Accolades and Recognition 🏆

Dr. Yadav's groundbreaking contributions have earned him numerous accolades:

  • 2024: Fellow of the Electron Microscopy Society of India.
  • 2019: Long-Term Fellowship from the Department of Health Research to work at Stanford University.
  • 2018: Excellence in Microscopy Award by the Electron Microscope Society of India.
  • 2005-2006: Boehringer Ingelheim Fonds Fellowship, Germany.

Impact and Influence 🌍

Dr. Yadav has significantly influenced the fields of nanotechnology and microscopy through his teaching, research, and mentorship. As a member of prestigious societies like the Indian Biophysical Society and a reviewer for leading journals, he has contributed to advancing scientific knowledge. His innovative patents and publications continue to inspire advancements in diagnostics and therapeutics.

Legacy and Future Contributions Highlight 🚀

With a career defined by scientific rigor, international collaboration, and a vision for impactful research, Dr. Yadav stands as a beacon of innovation. His ongoing work in nanotechnology and cryo-electron tomography promises to shape the future of medical diagnostics and targeted therapies, leaving a lasting legacy in science and technology.

 

Publications


📄 Magnetic nanoparticles and quantum dots coupled immuno nano fluorescence assay for visual detection of HPV16-induced cervical cancer cells from cytology/biopsy samples
Authors: Raman, S., Tanwar, P., Meena, J., Bhatla, N., Yadav, S.C.
Journal: Sensing and Bio-Sensing Research
Year: 2024


📄 Genetics of 67 patients of suspected primary ciliary dyskinesia from India
Authors: Jat, K.R., Faruq, M., Jindal, S., Arava, S.K., Kabra, S.K.
Journal: Clinical Genetics
Year: 2024


📄 Quantitative and qualitative analysis of metallic ion release of orthodontic brackets in three different pH conditions - An invitro study
Authors: DA, P., Angel L, S., Chaudhari, P.K., Yadav, S.C., Duggal, R.
Journal: Journal of Oral Biology and Craniofacial Research
Year: 2024


📄 Rab7-dependent regulation of goblet cell protein CLCA1 modulates gastrointestinal homeostasis
Authors: Gaur, P., Rajendran, Y., Srivastava, B., Ahuja, V., Srikanth, C.
Journal: eLife
Year: 2024


📄 Visual, rapid, and cost-effective BK virus detection system for renal transplanted patients using gold nanoparticle coupled loop-mediated isothermal amplification (nanoLAMP)
Authors: Kumar, S., Raman, S., Sesham, K., Mridha, A.R., Yadav, S.C.
Journal: Journal of Virological Methods
Year: 2024