Srabani Taraphder | Computer Simulation of Enzyme Dynamics | Best Researcher Award

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Prof. Srabani Taraphder | Computer Simulation of Enzyme Dynamics | Best Researcher Award

Indian Institute of Technology Kharagpur, India

Prof. Srabani Taraphder is a distinguished Professor of Chemistry at the Indian Institute of Technology, Kharagpur, with an academic journey that began with a B.Sc. in Chemistry (Hons.) from Presidency College, Calcutta University (1990), followed by an M.S. in Chemistry (1992) and a Ph.D. in Physical Chemistry (1996) from the Indian Institute of Science, Bangalore, under the supervision of Prof. Biman Bagchi. Her doctoral thesis on Molecular Relaxation in Liquids: From Ultrafast to Ultraslow Dynamics in Dipolar Solvents set the foundation for her pioneering work in theoretical and computational chemistry. With postdoctoral and visiting scientist positions at premier institutions across the USA, Europe, and Asia including the University of Chicago, NIH (USA), University of Trieste (Italy), CNRS (France), Max Planck Institute (Germany), and UCL (UK) she has built an international reputation in molecular modeling and simulation. Over the years, Prof. Taraphder has progressed from Visiting Lecturer (IIT Kharagpur, 1996–1998) to Assistant Professor (1998–2007), Associate Professor (2007–2011), and full Professor (2011–present). She is widely recognized for her methodological advances in rare event simulations, enzyme catalysis, and multi-scale modeling of biological systems, particularly human carbonic anhydrases (HCAs), where her group was the first in India to employ advanced transition path sampling methods. Her work has provided a new framework for understanding enzyme catalysis, conformational fluctuations, pH-dependent regulation, and drug–enzyme interactions relevant to cancer therapeutics. She has also pioneered the integration of statistical mechanics, machine learning, and deep learning into enzyme kinetics and protein dynamics. A prolific researcher, she has authored over 140 publications, with more than 4,800 citations and an h-index of 35, reflecting her global impact. She has delivered over 100 invited talks at national and international conferences, including ACS, CRSI, and CECAM meetings. Her contributions have been recognized through prestigious awards, including the Professor A. K. Chandra Memorial Award (2024), the INSA Teachers Award (2018), the Charushita Chakravarty Memorial Lecture Award (2020), and the Indo-US Research Fellowship (2009). She is a Fellow of the West Bengal Academy of Science & Technology (2020), a life member of CRSI, and a premium member of ACS. Several of her publications have been highlighted internationally, including in Nature India and as “Very Important Papers” by Chemistry Europe. Beyond her scientific achievements, she has been an inspiring mentor, advancing the frontiers of computational chemistry in India while shaping the next generation of researchers. Her career exemplifies excellence in research, teaching, and leadership in theoretical chemistry and interdisciplinary science.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

"Enhanced Sampling and Conformation-Dependent pKa of Histidine Side Chains: A Case Study in Human Carbonic Anhydrase II"

"Molecular Modeling of Glycosylated Catalytic Domain of Human Carbonic Anhydrase IX"

"Structure and non-reactive dynamics of the dimeric catalytic domain of human carbonic anhydrase IX"

"pH-Dependent Structure and Dynamics of the Catalytic Domains of Human Carbonic Anhydrase II and IX"

"Nonlinear Reaction Coordinate of an Enzyme Catalyzed Proton Transfer Reaction"

"Structure and Dynamics of the Isozymes II and IX of Human Carbonic Anhydrase"

"Molecular modelling of two coordination states of Zn(II) ion at the active site of human carbonic anhydrase II"

Ajay Kumar | Fiber Optics | Best Researcher Award

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Dr. Ajay Kumar | Fiber Optics | Best Researcher Award 

Research Scholar at Indian Institute of Technology Delhi, India

Dr. Ajay Kumar is a physicist specializing in Computational Photonics, with expertise in MATLAB, COMSOL, Rsoft, and Lumerical. He received his Ph.D. in Physics from the Department of Physics, Indian Institute of Technology (IIT) Delhi on 02 July 2025. His doctoral thesis, titled “Modelling and Analysis of Higher Order Modes in Optical Fibers & Components”, was carried out under the supervision of Prof. Anurag Sharma (NASI Distinguished Chair Professor, IIT Delhi), with Prof. R. K. Varshney (IIT Delhi) as co-supervisor. Prior to his Ph.D., he earned his M.Sc. in Physics (2017) from Kurukshetra University and his B.Sc. in Physics, Chemistry, and Mathematics  from Govt. College Hisar, Kurukshetra University. During his academic journey, Dr. Kumar has been recognized with several prestigious fellowships and awards. He was a recipient of the Early Doctoral Fellowship (EDF719-MI02585G) under IoE Promotional Measures, IIT Delhi (2025). He secured the SERB-ITS International Travel Grant to attend FiO-LS 2024, and the Research Scholar Travel Award (2023) from IIT Delhi for participation in OWTNM 2023, Marseille, France. His research contributions have also been acknowledged with the Best Oral Presentation Award at ICEMQP-2024 (Guru Jambheshwar University, Hisar) for his work on Modal Analysis of Higher Order Modes in Ring Core Fibers, and the Best Poster Award at PHOTONICS-2023, IISc Bangalore for A New Method for Obtaining Loss in Leaky Fiber Structures. He qualified multiple national-level examinations, including CSIR-NET JRF/SRF (2017), JEST (2017), and GATE (2022). Earlier in his career, he was awarded the Dr. B. R. Ambedkar Scholarship and the National Merit-cum-Means Scholarship by the Department of Higher Education, Haryana. His research primarily focuses on the modal properties of advanced fiber structures, leaky modes, and higher-order mode analysis, contributing significantly to the development of photonic devices and components. To date, he has authored [X] peer-reviewed publications, which have collectively received [Y] citations, with an h-index of [Z] (as per Google Scholar/Scopus). Dr. Ajay Kumar continues to advance research in computational modeling of optical fibers and photonic devices, with a vision to bridge theory and practical applications in next-generation optical communication technologies.

Profiles: Scopus

Featured Publications 

"Market competition in the platform economy: new insights, integrative framework and research agenda"

"A comprehensive study on resistance brazing of bearing pad to fuel tube of pressurized heavy water reactor using amorphous filler"

"Chemical and microalgal conversion of carbon dioxide into fuels and materials: a review"

"Electric field-induced self-assembly of multiferroic core-shell nanocrystals in anisotropic liquid crystal medium"

"Fission product mass distribution studies in 35Cl + 176Yb and 35Cl + 165Ho reactions"

"Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments"

"Generative AI and Empirical Research Methods in Operations Management"

 

Alessio Gagliardi | Machine learning, Photovoltaics | Best Researcher Award 

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Prof. Alessio Gagliardi | Machine learning, Photovoltaics | Best Researcher Award 

Associate Professor at Technical University Munich, Germany

Prof. Alessio Gagliardi is an Associate Professor at the Technical University of Munich (TUM), where his research focuses on the development and application of numerical models for simulating nanostructured devices. His work spans multiple scales, from atomistic to continuum, and addresses next-generation solar cells (organic semiconductor, dye-sensitized, and perovskite solar cells), electrochemical systems (fuel cells, batteries), and advanced organic semiconductor materials. He integrates nanoscale methods such as Density Functional Theory (DFT) and Quantum Green Functions with mesoscale approaches like Kinetic Monte Carlo and macroscopic drift–diffusion/continuum models, thereby providing a complete multiscale framework for device simulation. He is also a key developer of TiberCAD and gDFTB software, widely used for device modeling. In recent years, his research has strongly expanded toward machine learning and deep learning in material science, particularly for accelerating multiscale simulations, structure-to-property prediction, and bridging experimental results with theoretical models. Prof. Gagliardi obtained his B.Sc. (1997–2000, cum laude) and M.Sc. (2000–2003, cum laude) in Telecommunication Engineering from the University of Rome “Tor Vergata,” followed by a Ph.D. in Physics (2004–2007) at Paderborn University, Germany, under the supervision of Prof. Thomas Frauenheim, focusing on theoretical modeling and simulation of electron–phonon scattering processes in molecular electronic devices. He continued with postdoctoral research at Bremen University (2007–2008) and later at the University of Rome “Tor Vergata” (2008–2014), working with Prof. Aldo Di Carlo on the simulation of organic and dye-sensitized solar cells. In 2014 he joined TUM as a Tenure-Track Assistant Professor, and since 2020 he has been serving as Associate Professor. He is a founder and board member (2024–present) of the Atomistic Modeling Center (TUM), and a core member of the Munich Data Science Institute (MDSI) and the Munich Institute for Integrated Materials, Energy and Process Engineering (MEP). He has been actively involved in the Nanoelectronic Institute (TUM) since 2014 and contributes to the TUM-Asia program with Singapore Institute of Technology (SIT) and Nanyang Technological University (NTU). Prof. Gagliardi has presented at nearly 70 international conferences, with 26 invited talks, and was nominated for the ENI Energy Frontiers Award (2024). His supervision record at TUM includes around 100 MSc/BSc theses, 7 completed PhD dissertations, 2 postdoctoral fellows, and currently 9 PhD students and 1 PostDoc. He has authored over 160 peer-reviewed publications, which have collectively received more than 7,500 citations, with an h-index of 43. His academic distinction also includes membership in the Cluster of Excellence Nanosystems Initiative Munich. His research continues to advance the frontiers of nanostructured device modeling, combining physics-based numerical simulations with data-driven machine learning approaches to enable predictive design of energy materials and electronic systems.

Profiles: Orcid|Google Scholar

Featured Publications 

Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things

Tuning halide perovskite energy levels

Resonant Electron Heating and Molecular Phonon Cooling in Single  Junctions

Optimizing the size of platinum nanoparticles for enhanced mass activity in the electrochemical oxygen reduction reaction

Incoherent Electron− Phonon Scattering in Octanethiols

Understanding the inelastic electron-tunneling spectra of alkanedithiols on gold

A priori method for propensity rules for inelastic electron tunneling spectroscopy of single-molecule conduction

Tonguc Tony Cagin | Stochastic Processess | Best Researcher Award 

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Assoc. Prof. Dr. Tonguc Tony Cagin | Stochastic Processess | Best Researcher Award 

American University of the Middle East, Kuwait 

Assoc. Prof. Dr. Tonguc Tony Cagin earned his PhD in Stochastic Processes from the University of Coimbra, Portugal (2008-2015), following an MA in Differential Geometry from Istanbul Technical University, and a BSc in Mathematics Engineering from the same institution. He has held academic posts including Assistant Professor (2019-2024) and, since September 2024, Associate Professor in the Department of Mathematics & Statistics, where he delivers dynamic instruction in calculus, analysis, and statistics, supervises student progress, and fulfills both academic and administrative duties. His postdoctoral research at the Liverpool School of Tropical Medicine (UK) and the Gulbenkian Science Institute (Portugal) focused on biomathematics and coding-based modelling, while earlier he was a research and teaching assistant at Istanbul Technical University. His research interests include applied mathematics and statistics, mathematical modelling of infectious diseases, stochastic processes, fuzzy set theory, mathematical finance modelling, and forecasting. According to Google Scholar, he has an h-index of 6, with over 119 citations to his work. He has authored multiple peer-reviewed papers (including in Scopus Q1 and Q3 journals) involving topics like neutrosophic sets, fuzzy inventory and aggregation operators, supply chain and sustainability models, and volatility in financial markets. Beyond research, he contributes to curriculum development, committee service, student mentoring, extra-curricular activities, and in organizing seminars across mathematics/statistics and MBA/finance-related programs.

Profile: Google Scholar

Featured Publications 

Simplifying the complexity in the problem of choosing the best private-sector partner

Multi-objective optimization model for uncertain crop production under neutrosophic fuzzy environment: A case study

Fuzzy theory in fog computing: review, taxonomy, and open issues

A Non-Singleton Type-3 Fuzzy Modeling: Optimized by Square-Root Cubature Kalman Filter

Fusion of Expert Judgment using the Neutrosophic Delphi Method to Evaluate Tax Behavior

 

Malak Mezher | Synthesis | Best Researcher Award

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Dr. Malak Mezher | Synthesis | Best Researcher Award 

Graduate Assistant at Beirut Arab University | Lebanon

Dr. Malak Mezher is a dedicated biologist and educator with broad expertise spanning Medical, Environmental Microbiology, and Nanotechnology, currently serving as a lecturer and laboratory manager. She holds a PhD in Biology from Beirut Arab University (BAU) with a thesis on the characterization and biomedical and environmental applications of biosynthesized magnesium nanoparticles, following a high-distinction MSc in Medical and Industrial Microbiology studying antimicrobial activities of essential oils, and a BS in Biology. Her research output has yielded h-index = 4 and total citations ≈ 72, reflecting meaningful contributions to microbial nanotechnology and environmental microbiology. She has published multiple articles peer-reviewed in topics such as biosynthesized nanoparticles against multidrug-resistant bacteria, antibacterial and antibiofilm assessments, and nanoparticle characterization, aiding both scientific knowledge and potential applications. Alongside research, Dr. Mezher is strongly committed to teaching: she has instructed courses and laboratories in Microbiology, Advanced Microbiology, Cell & Molecular Biology, Plant Physiology, Food Microbiology, and Biology I, and has served as teaching assistant, online university tutor, and coordinator across secondary and primary education levels. She is proficient in laboratory techniques including PCR/RT-PCR, gel electrophoresis, nanoparticle synthesis & characterization, antimicrobial assays, statistical data analysis, and scientific writing. Her bilingual proficiency in Arabic and English, along with strong familiarity with tools like SPSS, Origin, Mendeley, Zotero, and EndNote, support her work in education, mentoring, research, and scholarly publication.

Profiles : Scopus | Google Scholar

Featured Publications 

"Microbiological and physicochemical water quality assessments of the Upper Basin Litany River, Lebanon"

"Silver and Yttrium‐Doped Silver Nanoparticles From Pine Needle Leaf Extract: Synthesis, Characterization, Antioxidant, Antiuropathogenic Bacterial, and Docking Activities"

"Green Synthesis of Yttrium Derivatives Nanoparticles Using Pine Needle Leaf Extract: Characterization, Docking, Antibacterial, and Antioxidant Potencies"

"Microbiological and physicochemical water quality assessments of the Upper Basin Litany River, Lebanon"

"Influence of Lanthanum Doping on the Photocatalytic and Antibacterial Capacities of Mg0.33Ni0.33Co0.33Fe2O4 Nanoparticles"

Ananya Srivastava | Photoacoustics | Best Researcher Award 

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Mr. Ananya Srivastava | Photoacoustics | Best Researcher Award 

Researcher at Hahn-Schickard-Gesellschaft | Germany

Mr. Ananya Srivastava is a Ph.D. candidate in Microsystems Engineering at Albert-Ludwigs-Universität Freiburg and a certified Project Management Professional (PMP®). Since 2020, he has been working as Project Leader and Scientific Researcher at Hahn-Schickard, focusing on Acoustic MEMS, project management, FEM simulations, sensor prototyping, and laboratory supervision. He has prior experience with Robert Bosch GmbH and IMTEK Freiburg in MEMS sensor development, electronics, and cleanroom fabrication. His contributions include several international patents on photoacoustic gas sensors and MEMS-based reference chambers, reflecting his strong expertise in R&D, project leadership, and innovation in microsystems engineering.

Early Academic Pursuits

Mr. Ananya Srivastava began his academic journey with a Bachelor’s degree in Electrical and Electronics Engineering from BMS College of Engineering, Bangalore, India. With strong foundations in electronics and engineering design, he pursued a Master’s degree in Microsystems Engineering at Albert-Ludwigs-Universität Freiburg, Germany. His academic excellence and passion for research led him to continue at Freiburg as a PhD candidate in Microsystems Engineering (2021–present). Alongside his technical expertise, he pursued professional training in project management, obtaining Project Management Professional (PMP®) certification in 2025, highlighting his ability to combine scientific research with leadership and organizational skills.

Professional Endeavors

Mr. Srivastava has built an impressive career in microsystems engineering and applied research. Since 2020, he has been serving as a Project Leader (PMP®) and Scientific Researcher in Acoustic MEMS at Hahn-Schickard-Gesellschaft, Villingen-Schwenningen, Germany. His responsibilities include project management of EU and international research projects, design of experiments, analytical modeling, MEMS process design, and sensor testing. He has also supervised several master’s and bachelor’s students, contributing to the academic community. Prior to this, he worked as a Master Thesis Student and R&D Engineer Intern at Hahn-Schickard, where he developed MEMS-based high-g inertial sensors for crash-test applications. His industrial experience includes working at Robert Bosch GmbH as a Development and Production Engineer Intern, focusing on MEMS acceleration sensors, communication protocols, and test automation. Earlier, as a Scientific Research Assistant and Cleanroom Tutor at IMTEK, Freiburg, he worked on PCR setup development, thermal cycling, and microheater fabrication, gaining diverse expertise across MEMS technologies.

Contributions and Research Focus

Mr. Srivastava’s primary research contributions are in the fields of MEMS design, Acoustic MEMS, and Photoacoustics. His patents focus on robust gas sensing technologies and reference chambers for photoacoustic sensors. Notable innovations include methods for encapsulating reference gases in MEMS cells, frequency-shift approaches for gas measurements, and development of stable photoacoustic gas sensors. His deep engagement with numerical modeling, FEM simulations, CAD design, and sensor prototyping underlines his technical expertise. By integrating Photoacoustics with MEMS engineering, his research enhances the sensitivity and reliability of gas detection systems, impacting both industry and scientific research.

Impact and Influence

The impact of Mr. Srivastava’s work is visible across academia and industry. His contributions to MEMS-based sensor design and Photoacoustics have advanced the development of next-generation gas detection systems. His patents demonstrate innovation with practical applications in safety, environmental monitoring, and healthcare. As a project leader, he has managed cross-disciplinary collaborations, ensuring research outcomes are translated into real-world applications. His role as a mentor and supervisor highlights his influence on the next generation of researchers and engineers.

Academic Cites

Mr. Srivastava’s publications, scientific reports, and patent filings have gained recognition in the academic and industrial research communities. His scientific papers and technical contributions are cited in areas related to MEMS, sensor technologies, and photoacoustic gas sensing. His interdisciplinary research, combining MEMS, optics, acoustics, and electronics, continues to serve as a valuable reference point for researchers in both applied physics and engineering.

Legacy and Future Contributions

Looking ahead, Mr. Ananya Srivastava is poised to make further advancements in MEMS engineering and Photoacoustics. His research trajectory indicates a strong potential for breakthroughs in high-sensitivity sensor technologies, acoustic imaging, and novel applications of MEMS devices. His leadership as a PMP®-certified project manager ensures that his future contributions will bridge the gap between fundamental research and industrial implementation. His legacy will be defined by innovative patents, impactful publications, and the training of future scientists and engineers.

Publication Top Notes

Title: Design and characterization of macroscopic indirect photoacoustic gas sensor

Authors: A. Srivastava, Y. Tian, A. Bittner, A. Dehé

Conference: 2022 IEEE Sensors

Year: 2022

Citations: 7

Title: Design and Evaluation of a Miniaturized Non-Resonant Photoacoustic CO₂ Gas Sensor with Integrated Electronics

Authors: N. Zhang, A. Srivastava, X. Li, Y. Li, Z. Zhou, A. Bittner, X. Zhou, A. Dehé

Conference: 2023 IEEE Sensors

Year: 2023

Citations: 4

Title: Temporal Behavior Analysis for the Impact of Combined Temperature and Humidity Variations on a Photoacoustic CO₂ Sensor

Authors: A. Srivastava, P. Sharma, A. Sikora, A. Bittner, A. Dehé

Conference: 2024 IEEE Applied Sensing Conference (APSCON)

Year: 2024

Citations: 2

Title: Data-driven modelling of an indirect photoacoustic carbon dioxide sensor

Authors: A. Srivastava, P. Sharma, A. Sikora, A. Bittner, A. Dehé

Conference: 2024 IEEE Applied Sensing Conference (APSCON)

Year: 2024

Citations: 2

Conclusion

Mr. Ananya Srivastava’s academic and professional journey reflects a unique blend of technical expertise, research innovation, and leadership. His pioneering work in MEMS and Photoacoustics has already produced practical solutions with global relevance. With a strong foundation in microsystems engineering, extensive research experience, and recognized patents, he is set to continue shaping the future of sensor technology and applied photonics, leaving a lasting legacy in scientific and industrial domains.

Haibin Sun | Preparation and Magnetic Properties Research of Low-Dimensional Materials | Best Researcher Award 

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Prof. Dr. Haibin Sun | Preparation and Magnetic Properties Research of Low-Dimensional Materials | Best Researcher Award 

Xinyang Normal University | China

Prof. Dr. Haibin Sun earned his Ph.D. in Condensed Matter Physics from Nanjing University (2011–2015) and currently specializes in graphene synthesis and nanomaterials. His research achievements include pioneering methods for large-area mono- and bilayer graphene growth using coronene precursors, developing synchronization growth techniques for millimeter-sized single-crystal bilayer graphene, and demonstrating strong surface-enhanced Raman scattering in graphene–silver nanoparticle hybrids. His work, published in leading journals such as Applied Physics Letters, Carbon, and The Journal of Physical Chemistry C, has advanced understanding of graphene growth mechanisms and its electronic, optical, and structural properties, contributing significantly to materials science and nanotechnology.

Professional Profiles

Scopus Profile

Education

Prof. Dr. Haibin Sun laid a strong academic foundation in physics and material sciences. He earned his B.S. in Physics and Electronic Engineering from Xinyang Normal University, China, in 2003, followed by an M.S. in Physical Engineering from Zhengzhou University in 2006. He then pursued advanced studies and obtained his Ph.D. in Condensed Matter Physics from the National Laboratory of Solid State Microstructures and the College of Physics, Nanjing University, in 2015, under the supervision of Prof. Dr. Jianguo Wan and Prof. Guanghou Wang.

Experience

From 2006 to 2011, Prof. Dr. Haibin Sun served as a Lecturer in the College of Physics and Electronic Engineering at Xinyang Normal University. After completing his Ph.D., he advanced his academic career with significant research output in the field of low-dimensional materials, particularly graphene and nanostructured hybrids. His experience bridges both teaching and advanced experimental research, positioning him as a leading scholar in condensed matter physics.

Research Interest

His primary research interests focus on the Preparation and Magnetic Properties Research of Low-Dimensional Materials. He has worked extensively on the synthesis and characterization of graphene and its hybrids with nanoparticles. His groundbreaking studies include surface-enhanced Raman scattering in graphene-silver hybrids, scalable synthesis of monolayer and bilayer graphene using solid coronene by CVD, and cooling growth of millimeter-size single-crystal bilayer graphene. These works highlight his contributions to advancing graphene growth methods and understanding structural, optical, and magnetic properties of low-dimensional systems.

Awards and Honors

Prof. Sun’s pioneering contributions in Preparation and Magnetic Properties Research of Low-Dimensional Materials have earned him recognition in high-impact journals such as Applied Physics Letters, Carbon, and The Journal of Physical Chemistry C. His innovative approaches to graphene synthesis and his studies on surface-enhanced Raman scattering have been widely cited and acknowledged by the international scientific community. These achievements demonstrate his ability to address fundamental challenges in material preparation and applications.

Research Skills

Prof. Dr. Haibin Sun possesses strong research skills in chemical vapor deposition (CVD) techniques, Raman spectroscopy, transmission electron microscopy (TEM), and electrical/optical property characterization. His ability to develop novel methods for the growth of high-quality monolayer and bilayer graphene reflects his expertise in Preparation and Magnetic Properties Research of Low-Dimensional Materials. Furthermore, his interdisciplinary approach integrates physics, chemistry, and nanotechnology, making his work valuable for both academic and industrial applications.

Publication Top Notes

Title: Fe₃N/Fe₃O₄ hetero-nanocrystals embedded in porous carbon fibers for enhanced lithium storage
Journal: Dalton Transactions
Year: 2024

Title: Encapsulating Ultrafine In₂O₃ Particles in Carbon Nanofiber Framework as Superior Electrode for Lithium-Ion Batteries
Journal: Inorganics
Year: 2024
Citations: 1

Title: Construction of an n-Type Fluorinated ZnO Interfacial Phase for a Stable Anode of Aqueous Zinc-Ion Batteries
Journal: ACS Applied Materials & Interfaces
Year: 2024
Citations: 8

Title: Cobalt vacancy boosting Co₃₋ₓO₄@C with superior pseudocapacitive lithium storage
Journal: Journal of Power Sources
Year: 2024
Citations: 3

Title: Ru-Doped Ni₃Se₄/NiSe/Nitrogen-Doped Carbon Nanotube Heterostructure for Lithium Storage
Journal: ACS Applied Nano Materials
Year: 2024
Citations: 5

Title: Ultrafine CoRu alloy nanoclusters densely anchored on nitrogen-doped graphene nanotubes for a highly efficient hydrogen evolution reaction
Journal: Journal of Colloid and Interface Science
Year: 2024
Citations: 12

Conclusion

Prof. Dr. Haibin Sun has established himself as a distinguished researcher in the area of condensed matter physics, with a particular focus on Preparation and Magnetic Properties Research of Low-Dimensional Materials. His work on graphene growth, hybrid nanostructures, and surface-enhanced Raman scattering has provided new insights into the design and application of advanced materials. Looking forward, his contributions are expected to further impact fields such as electronics, photonics, and energy storage, consolidating his role as a leader in low-dimensional materials research.

Donglin Zu | Photonics | Best Researcher Award

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Prof. Donglin Zu | Photonics | Best Researcher Award 

Peking University | China

Prof. Donglin Zu, a retired Professor from the Institute of High Ion Physics, Peking University, has made significant contributions to MRI physics and accelerator technology. Beginning his career in nuclear physics at Peking University in 1965, he later advanced research on NMR magnetometers, beam control, and electronic systems for accelerators. From 1995 to 2011, he focused on medical MRI physics and engineering, teaching graduate courses and authoring China’s first graduate textbook on MRI physics (2004), as well as influential works on electrodynamics and a three-volume MRI monograph series. Post-retirement, his research shifted to photon structure studies.

Author Profiles

Scopus

Orcid

Early Academic Pursuits

Prof. Donglin Zu began his academic journey in 1965 when he entered Peking University to study nuclear physics. After graduating in 1970, he remained at the university to pursue research and teaching, laying the foundation for a lifelong academic career. His early years were marked by dedication to advancing nuclear physics, particularly in experimental and applied areas, which later expanded into electronic control technology and imaging systems. His strong grounding in fundamental physics prepared him for pioneering work in multiple domains, including medical imaging and photonics.

Professional Endeavors

Prof. Zu’s career at Peking University spanned more than three decades. From 1979 to 1994, he served as teaching assistant, lecturer, and associate professor, contributing to research on electronic control technology for particle accelerators. His expertise extended to the development of NMR magnetometers, current sources, high-voltage measurement systems, and beam bunching technologies. In 1995, he transitioned into medical nuclear magnetic resonance imaging (MRI) physics and engineering, where he remained until his retirement in 2009 as a full professor of physics. Even after retirement, he continued academic exploration on photon structure as part of his interest in advanced photonics.

Contributions and Research Focus

Prof. Donglin Zu made landmark contributions to MRI physics in China. He taught MRI graduate courses for 16 years (1996–2011), becoming one of the foremost educators in the field. He published the first graduate-level textbook on MRI physics in China in 2004, followed by an undergraduate textbook on Electrodynamics in 2006. His most significant contribution came after retirement, with a three-volume monograph series on MRI physics (2014–2015), which remains a cornerstone reference in the field. His ongoing research on photon structure reflects his sustained dedication to photonics, extending his impact from nuclear physics to modern light-based technologies.

Impact and Influence

Prof. Zu’s influence is multifaceted: as an educator, researcher, and author. He taught undergraduate electromagnetism for 5 years and electrodynamics for 13 years, shaping generations of nuclear physics students. His postgraduate MRI courses trained specialists who later contributed to advancing medical imaging in China and beyond. His pioneering textbooks helped establish MRI physics as a discipline in Chinese higher education. Furthermore, his ongoing interest in photonics after retirement underscores his lasting influence on emerging scientific fields.

Academic Cites

His academic writings, particularly his textbooks and MRI monographs, are widely cited by researchers and students. These works provided both foundational knowledge and practical guidance, bridging the gap between physics theory and medical imaging applications. His publications continue to inspire citations in fields of nuclear physics, MRI technology, and photonics-related research.

Legacy and Future Contributions

Prof. Donglin Zu’s legacy lies in his ability to integrate physics into practical technologies while educating generations of scholars. His textbooks remain essential references, and his students continue his intellectual lineage. His post-retirement focus on photon structure points to future contributions in photonics, where light–matter interactions hold vast potential for medical, scientific, and technological innovation. His dedication to advancing physics education and research ensures that his influence will persist across decades.

Publication Top Notes

Title: Single photon structure model and multi-photon composite monomer
Journal: Optics Express
Year: 2025

Title: An Efficacious Target-Field Approach to Design Shim Coils for Halbach Magnet of Mobile NMR Sensors
Journal: Applied Magnetic Resonance
Year: 2012
Citations: 13

Title: Dual-window K-space weighted gating navigator technique on right coronary MR angiography at 3.0 T
Journal: Beijing Daxue Xuebao Ziran Kexue Ban (Acta Scientiarum Naturalium Universitatis Pekinensis)
Year: 2011

Conclusion

Prof. Donglin Zu exemplifies a life devoted to science, teaching, and innovation. From nuclear physics and accelerator technology to MRI physics and photonics, his career demonstrates remarkable breadth and depth. His textbooks, monographs, and teaching legacy solidify his place as a pioneer in physics education and research in China. As he continues to explore photon structure in retirement, his legacy will extend into future breakthroughs, inspiring new generations to push the boundaries of physics.

Laure Gouba | Quantum Physics | Best Researcher Award

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Dr. Laure Gouba | Quantum Physics | Best Researcher Award 

Visiting scientist at Abdus Salam International Centre for Theoretical Physics (ICTP) | Italy

Dr. Laure Gouba, Ph.D. in Theoretical/Mathematical Physics from Université d’Abomey Calavi (Benin) and UCLouvain (Belgium), is a visiting scientist at the Abdus Salam International Centre for Theoretical Physics (ICTP) and a visiting lecturer at the African Institute for Mathematical Sciences (AIMS). She has held research and teaching positions across Africa and Europe, including postdoctoral fellowships at NITheP (South Africa) and AIMS. Her research spans low-dimensional gauge theories, noncommutative quantum mechanics, PT symmetry, quantization, and applications of machine learning in mathematics. She also serves as Associate Editor of AIP Advances and has actively contributed to international schools, conferences, and mentoring.

 

Author Profiles

Scopus

Orcid 

Google Scholar

Early Academic Pursuits

Dr. Laure Gouba built a strong academic foundation in mathematics and physics, beginning her journey with a DEA (Masters) in Mathematics from Université de Ouagadougou, Burkina Faso, in October 1999. Her pursuit of excellence culminated in a PhD in Theoretical/Mathematical Physics in November 2005, jointly from Université d’Abomey Calavi (Benin) and Université Catholique de Louvain (Belgium). Her doctoral training was deeply rooted in Quantum Physics, providing her with the analytical and theoretical expertise to advance in high-level research.

Professional Endeavors

Dr. Gouba’s professional career reflects both academic and international scientific leadership. Since 2010, she has been a Visiting Scientist at the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste, Italy, while also serving as a Visiting Lecturer at the African Institute for Mathematical Sciences (AIMS) since 2018. In 2024, she became an Associate Editor of the American Institute of Physics Advances and an Expert for the Delegation for Control and Ethics in Higher Education (Benin). Earlier, she gained postdoctoral experience at NITheP, Stellenbosch University (South Africa), and at AIMS, Muizenberg. Her work has consistently revolved around advanced topics in Quantum Physics.

Contributions and Research Focus

Her research interests span low-dimensional gauge field theories, noncommutative quantum mechanics, parity-time symmetry in quantum theories, quantization procedures, coherent states, quantum optics, quantum cosmology, and the applications of machine learning in mathematics. She has supervised multiple Master’s theses at AIMS in areas ranging from quantum entanglement to the use of artificial neural networks in solving differential equations. Her contributions strengthen the intersection of mathematical methods and Quantum Physics, ensuring both theoretical depth and applied impact.

Impact and Influence

Dr. Gouba has had a profound influence across Africa and beyond through her teaching, mentorship, and international collaboration. She has delivered lectures in Burkina Faso, Mali, Senegal, Rwanda, Ghana, Ivory Coast, and South Africa, often under the ICTP "Physics Without Frontiers" program. Her role in organizing, participating, and chairing sessions at international conferences highlights her influence in the advancement of Quantum Physics globally. She has also contributed to bridging gaps between African researchers and the wider international scientific community.

Academic Cites

Her scholarly publications and conference presentations are widely cited, demonstrating her relevance in the international research community. Her work on quantum entanglement, coherent states, and quantization techniques provides foundational insights for ongoing developments in Quantum Physics. The consistent citations of her research validate her as a respected and trusted authority in the field.

Legacy and Future Contributions

Dr. Gouba’s legacy lies in her dual role as a researcher and mentor, shaping the next generation of African scientists while contributing to global theoretical physics. Her ongoing work as an Associate Editor and her leadership roles ensure she will continue influencing academic discourse. Future contributions are expected in expanding applications of quantum theories, particularly integrating machine learning approaches into Quantum Physics research.

Publication Top Notes

Title: Formulation, interpretation and application of non-commutative quantum mechanics
Authors: F.G. Scholtz, L. Gouba, A. Hafver, C.M. Rohwer
Journal: Journal of Physics A: Mathematical and Theoretical
Year: 2009
Citations: 154

Title: A comparative review of four formulations of noncommutative quantum mechanics
Author: L. Gouba
Journal: International Journal of Modern Physics A
Year: 2016
Citations: 108

Title: Time-dependent λ-deformed coherent states for generalized uncertainty relations
Authors: S. Dey, A. Fring, L. Gouba, P.G. Castro
Journal: Physical Review D — Particles, Fields, Gravitation, and Cosmology
Year: 2013
Citations: 59

Title: Strings from position-dependent noncommutativity
Authors: A. Fring, L. Gouba, F.G. Scholtz
Journal: Journal of Physics A: Mathematical and Theoretical
Year: 2010
Citations: 52

Title: Affine quantization on the half line
Author: L. Gouba
Journal: arXiv preprint
Year: 2020
Citations: 38

Title: PT-symmetric non-commutative spaces with minimal volume uncertainty relations
Authors: S. Dey, A. Fring, L. Gouba
Journal: Journal of Physics A: Mathematical and Theoretical
Year: 2012
Citations: 38

Conclusion

Dr. Laure Gouba exemplifies academic excellence, international collaboration, and dedication to advancing theoretical and mathematical physics. From her early education in Burkina Faso to her current influential positions at ICTP, AIMS, and AIP, she has consistently contributed to the growth of knowledge and scientific capacity. Her impact on Quantum Physics through research, teaching, and mentorship continues to inspire new directions in both mathematics and physics, ensuring her a lasting place in the global scientific community.

WoonSeong Jeong | Architecture Engineering | Best Researcher Award

Published on by AMO Physics

Assoc. Prof. Dr. WoonSeong Jeong | Architecture Engineering | Best Researcher Award 

Associate Professor at Chungbuk National University | South Korea

Assoc. Prof. Dr. WoonSeong Jeong holds a Ph.D. in Architecture from Texas A&M University, with earlier degrees from the University of Illinois at Urbana-Champaign and Chungbuk National University, Korea. His research expertise lies in Building Information Modeling (BIM), digital twin frameworks, and simulation-based performance analysis, supported by major projects funded by the National Research Foundation of Korea and international collaborations with NSF, ASHRAE, and DOE. He has extensive academic, research, and professional experience across Korea, the U.S., and China, with contributions to off-site construction, sustainable design, and nuclear plant data modeling. He is also a licensed Architectural Engineer in Korea.

Professional Profiles

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Early Academic Pursuits

Assoc. Prof. Dr. WoonSeong Jeong began his academic journey with a Bachelor’s degree in Architectural Engineering from Chungbuk National University, Korea. During his undergraduate studies, he earned multiple scholarships for academic excellence and won the Fine Art Festival award for excellent design (2001). His pursuit of advanced knowledge in Architecture Engineering led him to KyungHee University in 2003, where he started a Master’s program in the Architecture Department. Although not completed, this period broadened his research outlook. Later, he pursued a Master’s degree in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (2005–2007), focusing on Building Information Modeling (BIM) standards and cost-based construction progress monitoring. Finally, he earned his Ph.D. in Architecture from Texas A&M University (2008–2014), developing a framework integrating BIM and object-oriented physical models for multi-domain simulations. These early academic pursuits solidified his foundation in Architecture Engineering.

Professional Endeavors

Dr. Jeong has engaged in an impressive range of professional and academic roles. He served as a Graduate Assistant Researcher at Texas A&M University and contributed to numerous NSF, DOE, and ASHRAE-funded projects, covering solar building design, BIM compliance testing, immersive visualization, and sustainable construction ecosystems. In Korea, he has been an investigator and leader of multiple National Research Foundation of Korea (NRF) projects, including frameworks for BIM-based digital twin models and immersive off-site construction management. His professional journey also includes roles as a Research Associate at Ewha Womans University and collaborations with global partners such as Tsinghua University and the U.S. Department of Energy. His teaching background spans Korea and the U.S., including a Teaching Assistant role at KyungHee University and supervision in computer-aided design training.

Contributions and Research Focus

The core of Dr. Jeong’s research lies in Building Information Modeling (BIM) and its integration with advanced simulation models. His work has consistently focused on leveraging Architecture Engineering methodologies to enhance project performance monitoring, sustainability, cost efficiency, and digital twin technologies. His contributions include the development of BIM-based frameworks for performance-based off-site construction, translation between BIM and physical models for multi-domain performance analysis, and immersive visualization tools for lean construction management. These pioneering projects demonstrate his dedication to bridging architectural design with engineering efficiency and digital innovation.

Impact and Influence

Dr. Jeong’s impact extends internationally, influencing the domains of BIM, digital twins, and sustainable construction ecosystems. His research, supported by prestigious institutions like the NSF, DOE, and NRF, has positioned him as a global contributor in the integration of simulation, performance analysis, and digital design. His membership in professional societies including IFMA, ACADIA, KSEA, ASHRAE, and FIATECH—further reflects his standing in the global Architecture Engineering community. By collaborating across disciplines and nations, he has strengthened the bridge between technology, design, and practical construction applications.

Academic Cites

Dr. Jeong’s scholarly work has been published in peer-reviewed outlets and widely referenced by researchers working in the fields of BIM, digital construction, and sustainable design. His publications demonstrate strong academic influence, particularly in the emerging fields of digital twin applications and integrated simulation environments for architectural and civil engineering projects. The repeated citations of his work showcase his role in advancing knowledge in Architecture Engineering and related disciplines.

Legacy and Future Contributions

Dr. Jeong’s legacy lies in his pioneering role in advancing BIM and digital twin integration. His future contributions are expected to further shape the evolution of smart construction, immersive visualization, and sustainable built environments. As project investigator on large-scale NRF-funded projects, he is poised to continue developing advanced frameworks for performance-based design and intelligent operation management. His mentorship of students, innovative research, and cross-disciplinary collaborations will ensure a long-lasting influence on the academic and industrial fields of Architecture Engineering.

Publication Top Notes

Title: Optimizing the Construction Job Site Vehicle Scheduling Problem
Authors: Jaehyun Choi; Jia Xuelei; WoonSeong Jeong
Journal: Sustainability
Year: 2018

Title: A framework to integrate object-oriented physical modelling with building information modelling for building thermal simulation
Authors: Jeong, W.; Kim, J.B.; Clayton, M.J.; Haberl, J.S.; Yan, W.
Journal: Journal of Building Performance Simulation
Year: 2016

Title: Development of a reference building information model for thermal model compliance testing - Part I: Guidelines for generating thermal model input files
Authors: Kota, S.; Kim, J.B.; Yan, W.; Stipo, F.J.F.; Alcocer, J.L.B.; Haberl, J.S.; Jeong, W.; Clayton, M.J.
Journal: ASHRAE Transactions
Year: 2016

Title: Study on solar radiation models in South Korea for improving office building energy performance analysis
Authors: Kim, K.H.; Kie-Whan Oh, J.; Jeong, W.S.
Journal: Sustainability (Switzerland)
Year: 2016

Title: BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management
Journal: Sustainability
Year: 2016

Title: A Performance Evaluation of the BIM-Based Object-Oriented Physical Modeling Technique for Building Thermal Simulations: A Comparative Case Study
Authors: WoonSeong Jeong; Kee Kim
Journal: Sustainability
Year: 2016

Title: An Algorithm to Translate Building Topology in Building Information Modeling into Object-Oriented Physical Modeling-Based Building Energy Modeling
Authors: WoonSeong Jeong; JeongWook Son
Journal: Energies
Year: 2016

Conclusion

Assoc. Prof. Dr. WoonSeong Jeong exemplifies the integration of deep academic knowledge and practical application in the domain of Architecture Engineering. From his early academic excellence in Korea to his global collaborations in the United States and beyond, his career reflects a commitment to innovation, sustainability, and digital transformation in the built environment. His ongoing projects, citations, and mentorship will undoubtedly contribute to shaping the future of architecture, engineering, and construction for decades to come.