Andrey Milchev | Softmatter Modelling | Distinguished Scientist Award

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Prof. Dr. Andrey Milchev | Softmatter Modelling | Distinguished Scientist Award

Senior Researcher | Bulgarian Academy of Sciences | Bulgaria

Prof. Dr. Andrey Milchev is a distinguished physicist at the Institute of Physical Chemistry, Bulgarian Academy of Sciences. Renowned for his groundbreaking contributions to polymer physics, statistical mechanics, and computational modeling, he has authored more than two hundred eighty peer-reviewed publications with over Seven Thousand Five Hundred citations. His academic journey and collaborations with eminent scholars worldwide have positioned him among the leading experts in physical chemistry. Throughout his career, he has combined theoretical insight with computer simulations to explore polymers, nanostructures, and soft matter systems, earning international recognition for his impactful research and scientific leadership.

Publication Profile

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Education Background

Prof. Dr. Andrey Milchev began his academic career studying Theoretical Physics at the University of Leningrad, USSR. He later earned his Ph.D. from Leipzig University, German Democratic Republic, where he specialized in statistical physics and polymer science. Following his doctorate, he advanced his expertise as an Alexander von Humboldt Fellow at the Department of Physics, Gutenberg University, Mainz, Germany. There, he conducted research under the guidance of the renowned physicist Professor Kurt Binder. His educational path reflects a strong foundation in theoretical physics and computational methods, shaping his research into the physics of polymers and complex systems.

Professional Experience

Prof. Dr. Andrey Milchev commenced his career as a Junior Researcher at the Institute of Physical Chemistry, Bulgarian Academy of Sciences, Sofia. His leadership abilities soon led him to serve as Secretary of the Scientific Council at the Institute. Rising through the ranks, he became an Associate Professor and later a Full Professor at the same institution, a position he continues to hold. His international engagements include visiting professorships at the University of Georgia, USA; Max Planck Institute for Polymer Research, Germany; Georg-August Universität, Göttingen; and the University of Virginia, Charlottesville. His long-standing contributions highlight his dedication to global scientific exchange.

Awards and Honors

Prof. Dr. Andrey Milchev was awarded the prestigious Alexander von Humboldt Fellowship, which enabled him to pursue postdoctoral research in Germany under Professor Kurt Binder. This fellowship recognized his potential for significant contributions to theoretical and computational physics. In addition to this honor, he has received international recognition for his extensive publication record and high citation impact, reflecting the broad influence of his work in polymer physics and computational materials science. His invited lectures and visiting professorships at globally renowned universities further underscore his standing as a respected academic leader and innovator in his field.

Research Focus

Prof. Dr. Andrey Milchev’s research is centered on the statistical physics and dynamics of polymers, soft matter, and nanostructured systems. He applies advanced simulation techniques to study polymer brushes, confinement effects, adsorption transitions, and hydrodynamic flows in nanoscale environments. His pioneering work on semiflexible polymers, polymer detachment, and transport phenomena in nanopores has provided new theoretical insights and practical applications in materials science and nanotechnology. By bridging theory with computer experiments, his studies have advanced the understanding of polymer behavior under confinement and flow, establishing him as a leading authority in computational polymer physics.

Top Publications

  • Flow-Induced Vesicle Translocation Through a Narrow Slit─Transit Time Scaling Relations
    Published Year: 2025
    Citation:1

  • Durotaxis and Antidurotaxis Droplet Motion Onto Gradient Gel-Substrates
    Published Year: 2024
    Citation: 4

  • Concave Polymer Brushes Inwardly Grafted in Spherical Cavities
    Published Year: 2023
    Citation: 3

  • Surface Enrichment and Interdiffusion in Blends of Semiflexible Polymers of Different Stiffness
    Published Year: 2022
    Citation: 1

  • Entropic Unmixing in Nematic Blends of Semiflexible Polymers
    Published Year: 2020
    Citation: 1

Conclusion

Through decades of scientific contributions, Prof. Dr. Andrey Milchev has established himself as a leading figure in polymer physics and computational materials science. His dedication to research, education, and international collaboration has shaped his reputation as a highly respected academic worldwide. With more than two hundred eighty publications and thousands of citations, his work continues to inspire further advances in theoretical physics and chemistry. His career reflects a deep commitment to scientific discovery, mentorship, and the pursuit of knowledge that bridges fundamental theory with real-world applications in nanoscience and materials engineering.

Suzane Beier | Bioinformatics | Best Research Article Award

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Assoc. Prof. Dr. Suzane Beier | Bioinformatics | Best Research Article Award

Assoc. Prof. Dr. Suzane Beier | Federal University of Minas Gerais | Brazil

Assoc. Prof. Dr. Suzane Beier is a distinguished academic and researcher in the field of Veterinary Anesthesiology at the Federal University of Minas Gerais, Brazil. With decades of academic contributions, she has made a significant impact through her research in anesthesia, pain management, and cardiovascular physiology in animals. Her expertise has led to the completion of over sixty research projects, alongside numerous publications in reputed journals. She has actively contributed to veterinary science through teaching, mentoring, and scientific collaborations, becoming a recognized leader in her discipline and a contributor to advancements in veterinary anesthesiology.

Publication Profile

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Education Background

Assoc. Prof. Dr. Suzane Beier obtained her Bachelor of Veterinary Medicine from the State University of Santa Catarina. She further specialized with a Residency in Veterinary Anesthesiology at São Paulo State University (FMVZ-UNESP Botucatu). Pursuing her academic journey, she completed her Master’s and Ph.D. in Anesthesiology at the São Paulo State University (FMB-UNESP Botucatu). Her rigorous academic foundation has been central to shaping her expertise in veterinary anesthesiology, with a focus on innovative anesthesia techniques, pain management, and physiological assessment in animals, forming the basis for her teaching, research, and professional leadership roles.

Professional Experience

Assoc. Prof. Dr. Suzane Beier began her academic career as a Substitute Professor of Veterinary Anesthesiology at the State University of Santa Catarina (UDESC). She currently serves as an Associate Professor of Veterinary Anesthesiology at the School of Veterinary Medicine, Federal University of Minas Gerais. Her career is marked by leadership in supervising postgraduate students, coordinating research groups, and participating in multi-institutional collaborations. She has authored nearly one hundred scientific articles, book chapters, and served on editorial boards of reputed journals. In addition, she has contributed to consultancy projects, advancing veterinary anesthesiology practices and clinical applications in both domestic and wildlife species.

Awards and Honors

Assoc. Prof. Dr. Suzane Beier has received multiple recognitions for her contributions to veterinary science and research. Among her notable honors is the Adauto Luíz Veloso Nunes Award from the Brazilian Association of Wildlife Veterinarians. Her achievements include coordinating innovative projects such as the development and adaptation of ventilator models during the pandemic, which received significant professional recognition. She has also been acknowledged for her extensive role in mentoring over one hundred students at various academic levels, alongside her editorial responsibilities in international journals. Her awards and honors reflect her dedication to scientific advancement and professional leadership in anesthesiology.

Research Focus

Her research primarily focuses on total intravenous anesthesia, locoregional anesthesia, pain assessment, stress physiology, and the renin-angiotensin system in animals. She has conducted groundbreaking work on behavioral and physiological responses to anesthesia and pain control methods in veterinary practice. Another key research area includes the development of mechanical ventilation models, which proved essential during the pandemic for translational research. She has collaborated extensively across Brazilian Federal Universities and international research groups, producing highly cited works. Her ongoing projects reflect a strong commitment to improving anesthetic techniques and welfare in both domestic and exotic animal species.

Publications 

  • Home blood pressure measurement in companion animals: underestimated or unknown?
    Published Year: 2025

  • Preliminary Pharmacokinetic Analysis of Tramadol and Its Metabolite O-Desmethyltramadol in Boa (Boa constrictor constrictor)
    Published Year: 2025

  • Analgesic and Gastrointestinal Effects of Methadone in Horses Undergoing Orchiectomy
    Published Year: 2025

  • Analgesic and Gastrointestinal Effects of Morphine in Equines
    Published Year: 2025

  • Modified perineal urethrostomy for the management of congenital urethral diverticulum in a 4-month-old feline
    Published Year: 2025

Conclusion

Assoc. Prof. Dr. Suzane Beier stands out as a highly accomplished academic and researcher whose work has advanced the field of veterinary anesthesiology. Her contributions span from innovative clinical practices to impactful research collaborations and publications. Through dedicated mentorship, she has guided numerous students at undergraduate, master’s, and doctoral levels, leaving a lasting legacy in academic development. Her international recognition, combined with strong research outputs and honors, affirms her as a prominent figure in veterinary science. Her work continues to influence advancements in pain management, anesthesia, and animal welfare across veterinary medicine.

Guicai Yu | Wireless Networks | Best Researcher Award

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Prof. Guicai Yu | Wireless Networks | Best Researcher Award

Professor | Qinghai Minzu University | China

Prof. Guicai Yu is a distinguished scholar in wireless communications and networks, currently serving at the School of Intelligent Science and Engineering, Qinghai Minzu University. With a strong academic foundation and extensive research contributions, he has advanced innovative solutions in wireless systems, including massive MIMO, mmWave communications, and LoRa-based network optimization. His work emphasizes energy efficiency, system robustness, and reliable data transmission in large-scale deployments. Professor YU has published impactful research papers, authored a book, and secured patents in communications technologies, earning recognition within the scientific community. His contributions reflect both academic depth and applied innovation.

Publication Profile

ORCID

Education Background

Prof. Guicai Yu obtained his Ph.D. degree in Communications and Information Systems from Beijing University of Posts and Telecommunications, a leading institute in China’s information technology research. Prior to this, he earned his Master’s degree in Communications and Information Systems from Kunming University of Science and Technology. His academic training provided him with a rigorous foundation in wireless networks, channel estimation, and advanced communication protocols. This strong educational background has enabled him to contribute meaningfully to the development of energy-efficient algorithms, vehicular communications, and intelligent network systems that address modern technological challenges in wireless communications.

Professional Experience

Currently, Prof. Guicai Yu is a faculty member at Qinghai Minzu University, where he serves in the School of Intelligent Science and Engineering. Over the course of his career, he has completed seven research projects, authored a book with ISBN registration, and published multiple influential papers in wireless communication systems. In addition to academic research, he has three patents published or under process, reflecting his applied focus in engineering solutions. His expertise includes consultancy and collaboration in communication technologies. He has also contributed as an editorial reviewer and engages actively in guiding research advancements in wireless communication networks.

Awards and Honors

Prof. Guicai Yu has received recognition for his academic and research achievements in wireless communications. His published works in SCI-indexed journals have gained citations that underline the relevance and impact of his research contributions. His authorship of a specialized book and patents further demonstrate his influence on both academic and applied innovation. While his primary recognition has been within scholarly publications and research outcomes, his contributions position him as a strong candidate for awards such as the Best Researcher Award, showcasing his continued commitment to addressing critical challenges in wireless networks and intelligent communication systems.

Research Focus

Prof. Guicai Yu’s research primarily centers on wireless communications and networks, with specific interests in massive MIMO, mmWave communications, beamforming, and vehicular ad hoc networks. His recent innovations involve energy-efficient schemes in LoRa networks, integrating timestamp correction and address recognition to enhance reliability and reduce power consumption. He also works on vehicular communication systems for intelligent transportation in smart cities, spectrum sensing algorithms for noise resilience, and array signal processing for direction of arrival estimation. His research advances both theoretical understanding and real-world applications, aiming to create sustainable, robust, and efficient wireless communication infrastructures.

Publications Top Notes

An Energy-Efficient Scheme for Waking Co-Channel TDMA in LoRa Networks via the Integration of Bidirectional Timestamp Correction and Address Recognition
Published Year: 2025
Citation: 12

Millimeter-wave Vehicular Communication Channel Estimation Based on Priori Position Aided
Published Year: 2024
Citation: 18

Data Transmission Control of Vehicle Ad Hoc Network in Intelligent Transportation Systems for Smart Cities
Published Year: 2022
Citation: 25

Cooperative Spectrum Sensing Algorithm to Overcome Noise Fluctuations Based on Energy Detection in Sensing Systems
Published Year: 2021
Citation: 33

Algorithm to Estimate Direction of Arrival with Interpolated Array Elements for Coprime Array Holes
Published Year: 2020
Citation: 41

Conclusion

Through his academic journey, research excellence, and innovative contributions, Prof. Guicai Yu has established himself as a leading figure in wireless communication systems. His multidisciplinary approach integrates theory with practice, ensuring his research remains impactful for future technological advancements. With several completed projects, patents, and widely cited publications, he has consistently demonstrated his commitment to improving communication technologies. His career reflects not only scholarly rigor but also practical applications with societal benefits, positioning him as an outstanding candidate for recognition in the field of intelligent communication and network systems research.

Khaled Alhosani | Sustainable Computing | Best Researcher Award

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Dr. Khaled Alhosani | Sustainable Computing | Best Researcher Award

Executive Director | Ajman Municipality and Planning Department | United Arab Emirates

Dr. Khaled Alhosani is a distinguished leader in environmental governance, sustainability innovation, and public health advancement. As Executive Director of the Public Health and Environment Sector at the Municipality and Planning Department – Ajman, he has played a pivotal role in transforming Ajman into a regional benchmark for sustainable urban development. With over seventeen years of public sector service, he has introduced impactful reforms in climate neutrality, waste-to-resource innovation, and circular economy integration. His visionary strategies and policy contributions continue to guide Ajman’s path toward net-zero emissions, resilient ecosystems, and international environmental recognition.

Publication Profile

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Education Background

Dr. Khaled Alhosani earned a Ph.D. in Sustainable Waste Management from the University of Bolton, UK, with his doctoral thesis focusing on empowering public-private partnerships for sustainable waste management in the circular economy. He holds an MSc in Groundwater Engineering and Management from Ajman University and a BSc in Plant Sciences in Arid Regions from the United Arab Emirates University. Complementing his technical education, he also holds a Diploma in Human Resources from ITAC Institute, UAE, and completed the Leadership Transition Programme at INSEAD Business School, France, preparing him for senior leadership roles in sustainability and governance.

Professional Experience

Dr. Khaled Alhosani currently serves as Executive Director of the Public Health and Environment Sector at the Municipality and Planning Department – Ajman, where he has led initiatives in climate change resilience, air quality intelligence, and sustainable infrastructure systems. His career includes leadership as Director of the Public Health and Environment Department at Ajman Municipality, where he launched sustainability programs and performance frameworks. Previously, he directed the Plant Protection and Quarantine Department at the UAE Ministry of Environment & Water, spearheading national pest management programs. His multifaceted experience demonstrates his expertise in public health, municipal governance, and environmental policy implementation.

Awards and Honors

Throughout his career, Dr. Khaled Alhosani has received multiple awards recognizing his excellence in environmental leadership and governance. He has twice been honored as Top Supervising Employee by Ajman Municipality, in addition to receiving the Department of the Year recognition through the Injaz Program. He is also a recipient of the Nationals in the Way of Excellence Award, which highlights his commitment to innovation, sustainability, and performance excellence. These accolades reflect not only his personal achievements but also his success in driving institutional growth, sustainable reforms, and long-lasting environmental impact across the Emirate of Ajman.

Research Focus

Dr. Khaled Alhosani’s research is centered on sustainable waste management, circular economy integration, and innovative frameworks for climate resilience. His doctoral research on empowering public-private partnerships for waste management has informed Ajman’s municipal strategies and infrastructure. He has also contributed to frameworks for air quality management, strategies for reducing landfill emissions, and AI-enhanced sustainable education. His scholarly work emphasizes bridging theory and practice, with a focus on policy transformation, environmental innovation, and renewable energy solutions. Through his publications, he continues to contribute to global discussions on climate neutrality, urban sustainability, and environmental governance.

Publications

  1. Harnessing coconut shell carbon micro particles for enhanced optical absorbance and sustainable energy storage in organic phase change materials
    Published Year: 2025
    Citation: 1

  2. A framework for public-private partnerships empowerment towards zero industrial waste in the UAE
    Published Year: 2025
    Citation: 1

  3. AI-enhanced sustainable educational framework for a greener world
    Published Year: 2025
    Citation: 1

  4. Air quality management strategic framework for future sustainable cities
    Published Year: 2025
    Citation: 2

Conclusion

Dr. Khaled Alhosani stands as a leading figure in sustainability and environmental governance in the UAE and beyond. His combination of academic expertise, visionary leadership, and impactful reforms has positioned Ajman as a model for sustainable urban transformation. Recognized for his excellence in research, policy, and management, he continues to mentor emerging professionals and contribute to international collaborations. His legacy is defined by advancing environmental innovation, fostering global partnerships, and driving Ajman’s journey toward net-zero emissions and environmental excellence, ensuring a greener, healthier, and more sustainable future for generations to come.

Alexander Pogrebnjak | Nanotechnology| Best Researcher Award

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Prof. Alexander Pogrebnjak | Nanotechnology | Best Researcher Award

Researcher | Sumy State University | Ukraine

Alexander Pogrebnjak is a distinguished physicist specializing in materials science and solid-state physics. He currently holds research and leadership roles across European institutions, including the Slovak University of Technology in Bratislava, IMNR in Romania, and Sumy State University in Ukraine. His multi-faceted work spans nanostructured coatings, surface modification, and biomaterials. With a Physics of Solids from Tomsk Polytechnic University and a Ph.D. in Solid-State Physics from Tomsk State University, he brings broad expertise to advanced materials engineering and interdisciplinary collaboration.

Publication Profile

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Education Background

Alexander Pogrebnjak earned his Physics of Solids and Experimental Physics from Tomsk Polytechnic University, following a Ph.D. in Solid-State Physics and an M.Sc. in the same field from Tomsk State University. He further enriched his training through international internships at Lublin Polytechnic in Poland and the Slovak University of Technology in Trnava, Slovakia. This strong theoretical foundation, combined with hands-on international exposure, laid the groundwork for his innovative work in nanostructured coatings and surface modification techniques.

Professional Experience

Alexander Pogrebnjak has served as a researcher at the Slovak University of Technology’s Institute of Materials Science. Concurrently, he directs a PNRR-project at IMNR (Romania) and holds leadership and principal researcher positions at the Biomaterials Research Center of Sumy State University, Ukraine. He has also headed the Department of Nanoelectronics and Surface Modification and acted as key staff within the Erasmus+ “Jean Monnet” program. His roles reflect a dynamic career marked by research leadership, international collaboration, and applied innovation in materials and biomaterials.

Awards and Honors

Alexander Pogrebnjak has been honored with a state scholarship for outstanding scientists and the title of Honored Worker of Science and Technology by presidential decree in Ukraine. Recognized among the top ten percentage of reviewers for Elsevier journals, he is also listed among the top thousand materials scientists on Research.com. He holds honorary professorships at East Kazakhstan State Technical University and Sumy State University. He ranks among Ukraine’s most cited scientists, according to Scopus, Google Scholar, and analyses by Stanford University and Elsevier’s SciTech Strategies, placing him in the country’s top two percent.

Research Focus

Alexander’s research centers on modifying material structure and properties using intense pulsed ion and electron beams, pulsed plasma flows, and various advanced coating technologies. He specializes in designing nanostructured high-hardness, thermally stable multicomponent coatings, hydroxyapatite and ceramic coatings via magnetron sputtering and beam ablation, plasma-spraying, electro-spark alloying, and high-intensity implantation. His work extends to biomaterials, MXene synthesis, surface functionalization, and nanoparticles, blending experimental physics with cutting-edge materials engineering for biomedical and industrial applications.

Top Publications

The structure and properties of high-entropy alloys and nitride coatings based on them
Published Year: 2014
Citation: 390

Structures and properties of hard and superhard nanocomposite coatings
Published Year: 2009
Citation: 347

Microstructure, physical and chemical properties of nanostructured (Ti–Hf–Zr–V–Nb) N coatings under different deposition conditions
Published Year: 2014
Citation: 311

Irradiation resistance, microstructure and mechanical properties of nanostructured (TiZrHfVNbTa) N coatings
Published Year: 2016
Citation: 192

Structure and properties of hard and superhard nanocomposite coatings
Published Year: 2009
Citation: 183

Conclusion

Alexander Pogrebnjak exemplifies a leading international materials scientist whose work bridges physics, surface engineering, and biomaterials. With advanced degrees from Tomsk universities and experience across Europe, his leadership in research institutions underscores his innovation in nanocoatings and beam-based material modification. Recognized with top national honors and scientific rankings, he continues to push boundaries in high-performance materials and biomaterial technologies. His interdisciplinary approach and global collaborations position him at the forefront of materials science and applied physics.

Sarah Popenhagen | Signal Processing | Best Researcher Award

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Dr. Sarah Popenhagen | Signal Processing | Best Researcher Award

Junior Researcher | University of Hawai’i at Manoa | United States

Sarah K. Popenhagen is a dedicated Earth and planetary scientist whose interdisciplinary expertise spans infrasound acoustics, machine learning, and airborne data collection. Earning her PhD in Earth and Planetary Sciences at the University of Hawaiʻi at Mānoa under the supervision of Milton Garcés, she leverages advanced audio processing and classification techniques. With robust engineering foundations, she applies these methods to detect and characterize acoustic signals from rocket launches and explosions using devices as ubiquitous as smartphones. Her research bridges cutting-edge computational methods with practical, scalable acoustic sensing, advancing both scientific understanding and real-world monitoring capabilities.

Publication Profile

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ORCID

Education Background

Sarah K. Popenhagen earned her PhD in Earth and Planetary Sciences from the University of Hawaiʻi at Mānoa, focusing on infrasound acoustics, rocket ignition and trajectory signatures, and machine learning for audio classification. Prior to that, she completed a BSc in Engineering Physics at the University of Illinois Urbana-Champaign, where she received the Laura B. Eisenstein Award. She also broadened her academic perspective as an exchange student in Physics and Astrophysics at the University of Birmingham in the UK, enriching her foundation in interdisciplinary physical sciences.

Professional Experience

During her doctoral studies at the University of Hawaiʻi at Mānoa, Sarah contributed as a Junior Researcher in the Infrasound Laboratory, authoring publications and developing Python tools for audio dataset analysis and visualization. As a Research Assistant in the Earth Sciences Department, she curated and annotated rocket acoustic signatures, designed and evaluated machine learning detection models, and analyzed multimodal explosion data from airborne platforms. Her prior roles include an engineering physics undergraduate researcher at Illinois, where she developed methane-monitoring prototypes, and multiple positions at Idaho National Laboratory and USGS, applying acoustic and seismic analysis to nonproliferation and hydrology challenges.

Awards and Honors

Sarah’s academic distinction is marked by the Laura B. Eisenstein Award, recognizing her outstanding achievement during her undergraduate studies at the University of Illinois Urbana-Champaign. Her selection as an exchange student in Physics and Astrophysics at the University of Birmingham highlights her academic adaptability and merit. Additionally, her impactful contributions to geophysical research, particularly with accessible sensor networks and machine learning methodologies, have garnered recognition in peer-reviewed publications and funded projects, demonstrating both scholarly and practical accolades throughout her burgeoning career.

Research Focus

Sarah’s research centers on detecting and interpreting acoustic signatures of rockets and explosions using machine learning and infrasound analysis. She develops and maintains Python-based tools and repositories for processing open-access audio datasets, enabling training and evaluation of classification models. Her work includes leveraging smartphone audio to study rocket ignition, launch, and trajectory features, designing ensemble learning models for explosion detection with high accuracy, and deploying airborne collection platforms. Her focus combines acoustic physics with AI, aiming to democratize sensor networks for environmental and security monitoring.

Top  Publications

Rocket Launch Detection with Smartphone Audio and Transfer Learning
Published Year: 2025
Citation: 1

Acoustic Rocket Signatures Collected by Smartphones
Published Year: 2025
Citation: 1

Explosion Detection using Smartphones: Ensemble Learning with the Smartphone High-explosive Audio Recordings Dataset and the ESC-50 Dataset
Published Year: 2024
Citation: 4

Acoustic Waves from a Distant Explosion Recorded on a Continuously Ascending Balloon in the Middle Stratosphere
Published Year: 2023
Citation: 9

Skyfall: Signal Fusion from a Smartphone Falling from the Stratosphere
Published Year: 2022
Citation: 12

Conclusion

Sarah K. Popenhagen’s career blends engineering physics, geoscience, and machine learning to tackle complex challenges in acoustic monitoring. Her work harnesses everyday technology—like smartphones—alongside advanced modeling to detect rocket and explosion events with precision and scalability. Through her publications, software development, and interdisciplinary research projects, she contributes to more accessible, effective environmental and geophysical sensing. Her trajectory signals a growing influence in leveraging AI-enhanced acoustics for real-world monitoring, scientific innovation, and societal benefit.

 

 

Salah Akkal | Computational Phytochemistry | Best Researcher Award

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Prof. Dr. Salah Akkal | Computational Phytochemistry | Best Researcher Award

Professor, Research Director | University Mentouri Constantine1 | Algeria

Prof. Dr. Salah Akkal is an Algerian chemist specializing in organic chemistry and phytochemistry, currently serving as a professor at the Department of Chemistry, University of Constantine, Algeria. His career spans decades of research on natural product isolation, particularly flavonoids and sesquiterpene lactones from medicinal plants native to Algeria. He has held guest researcher positions at the University of Hannover, Germany, and collaborated extensively with international scientists. His work integrates chemotaxonomy, NMR spectroscopy, and biological activity studies, contributing to advancements in natural product chemistry. Prof. Akkal has published extensively in peer-reviewed journals, authored book chapters, and actively participates in scientific councils and international workshops.

Publication Profile

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Education Background

Prof. Akkal earned his Ph.D. in Organic Chemistry (Phytochemistry) from the University of Constantine, where he also completed his Master’s degree and Bachelor’s degree in Chemistry. His foundational academic journey began with a Baccalaureate in Science in Algeria. His doctoral research focused on the isolation and study of bioactive natural compounds, integrating advanced analytical methods. Throughout his studies, he developed expertise in NMR spectroscopy, chemotaxonomy, and phytochemical analysis. This strong academic base prepared him for impactful research and teaching, enabling him to bridge scientific theory with applied research in medicinal plant chemistry and natural products for health, nutrition, and pharmaceutical applications.

Professional Experience

Prof. Akkal’s academic career at Constantine University began as an Assistant in Organic Chemistry, progressing through roles as Assistant Lecturer, Assistant Professor, and eventually Professor. He also served as a guest researcher multiple times at the University of Hannover, Germany, collaborating with Prof. Dr. Helmut Duddeck. His administrative and leadership roles include Responsable domaine (SM), Vice President CPND SM, and membership in various scientific councils such as the Faculty of Exact Science Council and CRAPC. He has been actively involved in DAAD alumni projects and workshops across Europe and North Africa, promoting research collaboration between Africa and Europe in sustainable chemistry and agricultural sciences.

Awards and Honors

Prof. Akkal has been recognized with multiple prestigious scholarships and research fellowships, including the Egide Scholarship in France, DAAD Scholarships in Germany, and a DFG Scholarship under the supervision of Prof. Dr. Helmut Duddeck. His international recognition extends through his participation as an observer of the International Association of Dietary Nutrition and Safety (IADNS) and active roles in DAAD alumni programs. He has contributed to significant projects in food security, agricultural sustainability, and Africa-Europe research cooperation. His achievements highlight his dedication to academic excellence, international collaboration, and advancing phytochemical research with practical applications in health and industry.

Research Focus

Prof. Akkal’s research primarily centers on the isolation and characterization of natural products, particularly flavonoids and sesquiterpene lactones, from Algerian medicinal plants. He investigates their biological activities, including antioxidant, antimicrobial, and photoprotective properties, using advanced analytical tools such as NMR spectroscopy. His work in chemotaxonomy aids in the classification of plant species based on chemical profiles, while his studies on functional foods contribute to nutritional science. Collaborative projects with international teams extend his research impact to applications in food preservation, active packaging, plant growth promotion, and green chemistry, bridging fundamental phytochemistry with real-world industrial and health solutions.

Publications

Conclusion

Prof. Dr. Salah Akkal’s career reflects a blend of scientific rigor, international collaboration, and dedication to advancing natural product research. His contributions in phytochemistry have enhanced understanding of bioactive compounds from Algerian flora, fostering innovation in medicine, nutrition, and environmental sustainability. Through his publications, mentorship, and active engagement in scientific councils and workshops, he continues to influence the fields of organic chemistry and phytochemistry globally. His work not only preserves Algeria’s rich botanical heritage but also aligns with international efforts to develop sustainable, plant-based solutions for health and industry, reinforcing his status as a leading figure in natural product chemistry.

Ali Hessami | AI Ethics | Best Researcher Award

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Prof. Dr. Ali Hessami | AI Ethics | Best Researcher Award

Director | Vega Systems | United Kingdom

Prof. Dr. Ali Hessami is a distinguished systems integrity, risk, assurance, and governance expert based in the United Kingdom, currently serving at Vega Systems. With extensive experience in large-scale, technology-intensive national and international programs, he is recognized for his strategic vision and creative thinking. He has led multidisciplinary teams, driven R&D in advanced frameworks for systems safety, competence, knowledge management, and corporate governance, and advised governments and industries globally. As Chair of multiple European and International standards committees, he has significantly influenced cybersecurity, systems safety, and ethics in technology, shaping industry practices and policies worldwide.

Publication Profile

Scopus

Education Background

Prof. Dr. Ali Hessami holds a PhD in Total Technology from the University of Bradford, complemented by a Postgraduate Diploma in Management and Administration from the same institution. He earned his BSc (Hons.) in Electronics Engineering & Physics from Loughborough University of Technology. His academic contributions include serving as a visiting professor at City University, London, and Beijing Jiaotong University, as well as lecturing at various institutions in China and Italy. Additionally, he has been trained as an international ambassador and educator at MIT’s Climate Interactive, focusing on the En-ROADS Climate Simulator for sustainable global solutions.

Professional Experience

Prof. Dr. Hessami’s career spans leadership in research, systems assurance, and standardization at Vega Systems, where he has developed innovative safety and risk management Software as a Service products. He chairs several CENELEC and IEC committees, is the technical editor for the first IEEE global ethics standard in technology, and serves as Vice Chair of IEEE’s Ethics Certification Program. His advisory roles extend to corporate boards, governments, and ministries, influencing industrial strategies. He has directed collaborative research centers, including the Railway Safety Technology Research Centre, and delivered industry and academic training across Europe, the Middle East, and the Far East.

Awards and Honors

Prof. Dr. Ali Hessami’s outstanding contributions have earned him multiple prestigious recognitions, including the IEEE Standards Association Managing Director’s Special Recognition for leadership in ethically aligned AI systems, and the IEEE Third Millennium Medal for achievement and contribution. He has been honored as a Fellow of the Royal Society of Arts (FRSA) and the Institution of Engineering and Technology (FIET). His international standing is reflected in his membership on the International Advisory Board of Beijing Jiaotong University and his appointment as Advisory Professor at its School of Electronic & Information Engineering, where he has influenced global standards and practices.

Research Focus

Prof. Dr. Hessami’s research spans systems safety, cybersecurity, ethics in technology, and AI governance. He is deeply engaged in developing ethical frameworks for emerging technologies, particularly agentic AI, through initiatives like the Universal Ethics Community of Practice. His work bridges principles, standards, and certification, aiming to ensure fail-safe design and responsible innovation in autonomous systems. Leading international collaborations, he integrates technical, legal, and governance dimensions to advance safety-critical systems. His interdisciplinary research fosters global consensus on ethical AI, sustainable risk management, and the alignment of technological innovation with societal values, ensuring technology serves humanity equitably.

Publication Top Notes

Artificial Intelligence for the Benefit of Everyone
Published Year: 2024
Citation: 1

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems
Published Year: 2021
Citation: 22

Guidelines For Agentic AI Safety Volume 1: Agentic AI Safety Experts Focus Group
Published Year: 2024
Citation: 2

From Principles and Standards to Certification
Published Year: 2019
Citation: 6

Model safety standard of railway signaling system for assessing the conformity of safety critical software based weighted factors analysis
Published Year: 2017
Citation: 5

Conclusion

Prof. Dr. Ali Hessami stands out as a visionary leader and scholar whose work merges technical expertise with ethical foresight. His influence spans academia, industry, and policy, shaping international standards and governance models in systems safety, cybersecurity, and AI ethics. Through leadership in IEEE, CENELEC, and IEC committees, he has helped establish frameworks that safeguard technology’s impact on society. With decades of experience in multidisciplinary innovation, strategic policy advisement, and academic mentorship, he continues to champion the integration of ethics, safety, and sustainability in technology development, ensuring progress aligns with societal well-being and responsible global standards.

Matthias Schmitz | Autonomous Systems | Best Researcher Award

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Mr. Matthias Schmitz | Autonomous Systems | Best Researcher Award

Mr. Matthias Schmitz | Ulm University | Germany

Matthias Schmitz is a graduate student in Computational Science and Engineering at the University of Ulm, Germany. His academic journey spans multiple international exchange programs, and he has contributed to research in areas ranging from autonomous vehicle control and SLAM-based trajectory planning to high-performance computing and algorithmic development. He combines his interdisciplinary background in computer science, mathematics, engineering, and mechanical systems to pursue innovation in autonomous systems and computational modeling, working under esteemed advisors across Europe and the U.S.

Publication Profile

ORCID

Education Background

Matthias completed a Bachelor of Science in Mechanical Engineering (Mechatronics) at the University of Duisburg-Essen. He is currently pursuing a Master in Computational Science and Engineering at the University of Ulm (in cooperation with Ulm University of Applied Sciences). Along the way, he enriched his studies through exchange semesters at the University of Bordeaux (Computer Science), the University of Memphis (Machine Learning, Neural Networks, Control Systems, CAD), and the University of Padua (Computer Vision, Robotics, Control), gaining foundational skills in French and Italian.

Professional Experience

Matthias has served as a student researcher and intern in both academic and industry environments. At Ulm University and Ulm University of Applied Sciences, he contributed to autonomous vehicle control projects involving SLAM, LiDAR, and prototype systems. He has interned at IMS Messsysteme GmbH, acquiring machining and manufacturing experience, and at Sakthi Automotive Group in Detroit, applying FEA and material analysis to optimize cast aluminum specimens. In Duisburg, he led force sensor development and prototyping as a student employee, leveraging CAD and microcontroller systems.

Awards and Honors

Matthias has been awarded numerous academic scholarships and fellowships: the University of Ulm Scholarship, additional mobility grants from the Foundation of the German Economy (sdw) for his stays in Bordeaux, Memphis, and Padua, the Erasmus scholarship from the University of Duisburg, and a Deutschlandstipendium from the University of Duisburg-Essen. He also received a Study Fellowship from the Employers’ Association Ruhr/Westfalen. His recognition underscores both scholarly merit and commitment to international experience.

Research Focus

Matthias’s research centers on development and control of agile autonomous systems, computational algorithms for high-performance and parallel computing, and applications of computer vision and robotics. His projects include real-time SLAM and trajectory planning for the Nimbulus-e platform, Galois group computation, optimization algorithms like the Sparrow Search, FEM-based Poisson equation solvers, robotic control via Lego Mindstorms, and hand-segmentation using deep learning in computer vision.

Publication

Conclusion

Drawing on a strong foundation in engineering, computer science, and applied mathematics, Matthias Schmitz embraces interdisciplinary research and international collaboration. His diverse academic experiences, combined with practical skills in algorithm design, prototype development, and sensor-based autonomy, position him to contribute innovatively to the fields of autonomous systems and computational engineering.

 

Tushar Verma | AI Spectroscopy | Best Review Paper Award

Published on by Computer Scientists Awards

Mr. Tushar Verma | AI Spectroscopy | Best Review Paper Award

B.Tech student | Indian Institute of Technology Roorkee | India

A motivated undergraduate from the Indian Institute of Technology, Roorkee, specializing in Data Science, Machine Learning and Artificial Intelligence. With hands-on experience building applied ML systems, the candidate has worked on projects ranging from finance-focused temporal modeling to histopathology image analysis and speech emotion recognition. Adept at Python, TensorFlow and PyTorch, they combine strong engineering foundations with research curiosity. Active in campus life, they have held leadership roles in social and technical clubs while supporting junior students as a teaching assistant. Their work emphasizes reproducible experiments, cross-domain generalization, and deploying research-ready prototypes that solve real-world problems.

Publication Profile

Scopus

Education Background

Currently a second-year B.Tech student at the Indian Institute of Technology, Roorkee, the candidate completed higher-secondary education at Heera Lal Public School, New Delhi, and matriculation at St. Mary’s Convent School, Agra. Their coursework and independent study emphasize probability, statistics, linear algebra, signal processing and core programming. They have translated classroom learning into laboratory skills through projects that require time-series modeling, vision-transformer architectures, and audio-signal feature engineering. Regular participation in workshops, hackathons and lab seminars at IIT Roorkee has expanded their practical knowledge and exposed them to contemporary tools such as Transformers, Informer, Spacetimeformer and FinLLama.

Professional experience

Although still an undergraduate, the student has built substantial project experience at IIT Roorkee, collaborating with faculty and peers on multidisciplinary problems. They implemented and benchmarked large language models for financial sentiment extraction, developed Vision Transformer variants for robust histopathology classification and engineered audio pipelines for emotion recognition. Their roles included end-to-end system design: data preprocessing, model training, evaluation, and comparative benchmarking. In campus leadership and coordination positions they organized events, mentored junior students, and contributed to project management and logistics, demonstrating the ability to balance technical responsibilities with team leadership and community engagement.

Awards and Honors

The candidate’s profile highlights project- and community-oriented recognition rather than a long list of formal awards. They have earned praise and institutional support for exemplary project work at IIT Roorkee, gained commendations for leadership roles in student organizations, and received positive assessments as an undergraduate teaching assistant. Their contributions to outreach and mentorship through CRY and campus activities have been noted by peers and faculty. While formal national- or journal-level awards are not listed, the combination of competitive project outcomes, institutional acknowledgements, and leadership responsibilities reflect a trajectory likely to attract future scholarships, internship offers, and academic honors.

Research Focus

Their research centers on applying machine learning to high-impact domains: financial time-series forecasting augmented with LLM-driven sentiment signals, robust cancer prediction from histopathology under staining variability, and audio-based emotion classification. Methodologically they focus on integrating temporal models (Informer, Spacetimeformer) with semantic signals from FinLLama, designing Vision Transformer variants with neighborhood and global attention and KAN classifiers for pathology, and engineering rich spectral and time-domain audio features for robust speech emotion recognition. Emphasis is placed on domain adaptation, cross-domain generalization, reproducibility, and combining deep learning with signal-processing insights for interpretable, reliable systems.

Publication

Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning

Published Year: 2025

Conclusion

A technically proficient and community-minded undergraduate at IIT Roorkee, they combine solid coursework with ambitious projects bridging ML research and practical applications. Their portfolio demonstrates the ability to design and evaluate novel model architectures, integrate multimodal signals, and deliver reproducible experiments. Leadership and mentoring roles show maturity and collaborative skills, while their project choices indicate a clear trajectory toward research in applied ML for healthcare and finance. With continued publication, internships, and mentorship, they are well positioned to transition from strong undergraduate researcher to competitive graduate applicant or industry research engineer.