Hussaini Syed Shaukatullah Syed Azmatullah | Experimental methods | Best Researcher Award

Prof. Hussaini Syed Shaukatullah Syed Azmatullah | Experimental methods | Best Researcher Award

Prof. Hussaini Syed Shaukatullah Syed Azmatullah | Milliya Arts Science, & Management Science College, BEED | India

Dr. Hussaini Syed Shaukatullah Syed Azmatullah is a distinguished Professor and Head of the Crystal Growth Laboratory at the Department of Physics, Milliya Arts, Science and Management Science College, Beed, India. With over 29 years of teaching and 15 years of research experience, he has significantly contributed to the field of crystal growth and non-linear optical (NLO) materials. Dr. Hussaini completed his Ph.D. from Dr. Babasaheb Ambedkar Marathwada University in 2008. He is a recognized academician involved in various administrative and academic roles, including Vice-Principal and Head of Department. His research includes crystal growth techniques for optoelectronics applications. He has been awarded multiple prestigious teaching awards and holds a national patent for a solar-powered tent. He actively reviews for international journals and contributes extensively to scientific literature.

Author Profile

Google scholar | Scopus | ORCID

Education

Dr. Hussaini’s academic journey began with secondary education (SSC) from the HSC and SSC Board, Aurangabad, securing Second Division in 1985. He completed his Higher Secondary Certificate (HSC) with First Division in 1987 from the same board. He graduated with a First Division from Marathwada University, Aurangabad, in 1990 and completed his post-graduation in Physics from the same university in 1992, also with First Division. He pursued a Ph.D. from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, awarded in 2008. Although M.Phil details are not provided, his educational credentials emphasize a strong foundation in Physics and crystal growth studies, preparing him for his academic and research career in advanced optical materials.

Professional Experience

Dr. Hussaini has 29 years of teaching experience and 15 years in research. He serves as Assistant Professor in the Department of Physics at Milliya Arts, Science and Management Science College, Beed. Since 2003, he has been Head of the Department, and since 2016, Vice-Principal (Academics). His administrative roles include ISO-9001:2015 Coordinator, IQAC member, Science Faculty Coordinator, and Chairperson of the UGC Affairs Committee. He has served as Vice Chancellor’s nominee for selection committees and contributed to syllabus design and university affiliation committees. His extensive academic and administrative experience highlights his leadership in curriculum development, quality assurance, and fostering research culture in crystal growth and optical materials.

Awards and Honors

Dr. Hussaini has been honored with several awards recognizing his dedication to education and research. In 2012, he received the State Level Ideal Teacher Award from MUPTA. He earned the Ideal Teacher Award in 2015 from Al-Hilal Times & Bazme Shama Adab and the Dr. Homi Bhabha Award from Divya Varta & Kashmakash NGO the same year. In 2018, he was awarded the State Level Subhedar Mallharrao Hoalkar Ideal Teacher Award by the Raje Mallharrao Hoalkar Samajik Prishithan, Beed. More recently, he received the Ideal Teacher Award from School Express, Beed, in 2019, the Award for Good Educational Work by Dynadevo Bahuudashaya Sanastha, Shreerampur in 2021, and Excellence in Education from the Association of Muslim Educational, India in 2022.

Research Focus

Dr. Hussaini specializes in the growth and characterization of non-linear optical (NLO) crystals, vital for optoelectronic and photonic applications. His research primarily focuses on solution growth techniques to develop high-quality NLO materials, such as copper sulfate, potassium dihydrogen phosphate (KDP), and amino acid-doped crystals. He investigates the structural, optical, dielectric, and mechanical properties of these materials to optimize them for frequency conversion and nonlinear optical devices. His projects funded by UGC and DST underline his commitment to advancing crystal growth technology. Dr. Hussaini’s research also extends to exploring environmentally friendly and cost-effective materials for solar and photonic applications, contributing to sustainable technology development.

Notable Publications

Laser induced and microscopic traits of pure and glutamic acid influenced copper sulfate crystal for optoelectronics devices

  • Authors: Sana Khan, S. M. Azhar, M. D. Shirsat & S. S. Hussaini
    Journal: Journal of Molecular Crystals and Liquid Crystals
    Year: 2025

Tailoring Optical and Dielectric Traits of SA Crystal Exploiting Glycine for Optoelectronics Applications

  • Authors: Syeda Bushra Tayyaba, M.D. Shirsat, S.S. Hussaini
    Journal: Journal of Nanotechnology Perceptions
    Year: 2024

Potassium Doping’s Effect on Linear Optical Properties of L-PTCA Crystals

  • Authors: S. Shabnam Anjum, S.S Hussaini, R.N. Shaikh
    Journal: Journal of Nanotechnology Perceptions
    Year: 2024

Influence of Acetic Acid on the Optical Characteristics of Potassium Dihydrogen Phosphate Doped Crystal

  • Authors: Sayyad Shaheen, S. S Hussaini, R. N Shaikh
    Journal: Journal of Nanotechnology Perceptions
    Year: 2024

Effect of Organic Entities on the Performance of Potassium Dihydrogen Phosphate (KDP) Crystals

  • Authors: Sujata B. Bade, Y.B. Rasal, M.D. Shirsat, S.S. Hussaini
    Journal: J Condensed Matter
    Year: 2023

Optimizing laser induced nonlinear optical, dielectric and microscopic traits of copper sulfate crystal by glycine for photonic device applications

  • Authors: Sana Khan, S.M. Azhar, M.D. Shirsat, S.S. Hussaini, I.M. Ashraf, Mohd Anis
    Journal: Inorganic Chemistry Communications
    Year: 2022

Conclusion

Dr. Hussaini Syed Shaukatullah Syed Azmatullah is a leading figure in the field of crystal growth and nonlinear optical materials with a profound impact on both academic and applied research. His long-standing commitment to teaching, research, and academic leadership has enriched the scientific community and educational institutions. Through his innovative work on NLO crystals and photonic devices, he has contributed significantly to advancements in optoelectronics. Recognized by numerous awards and active participation in professional bodies, Dr. Hussaini continues to inspire future scientists and plays a vital role in advancing material science research in India.

Muhammad Naziruddin Khan | Experimental methods | Best Researcher Award

Assoc. Prof. Dr. Muhammad Naziruddin Khan | Experimental methods | Best Researcher Award

Assoc. Prof. Dr. Muhammad Naziruddin Khan | Department of Physics | Islamic University of Madinah | Saudi Arabia

Dr. Muhammad Naziruddin Khan is a renowned physicist specializing in nanophysics and laser spectroscopy. Currently serving as Associate Professor at the Islamic University of Madinah, KSA, he holds a Ph.D. in Physics from Jamia Millia Islamia, India. With over two decades of experience in research and teaching, he has contributed significantly to the development of advanced nanomaterials for optoelectronics and renewable energy. He has authored 47 research papers, co-authored a book and a book chapter, and holds a U.S. patent for silicon-based nanosilicon composites. Dr. Khan has also established a state-of-the-art laser spectroscopy lab through competitive research grants. Fluent in five languages, he has mentored students globally and collaborated on international projects. His expertise spans silicon nanocrystals, perovskite quantum dots, and laser dyes in sol-gel media. His career reflects a sustained commitment to scientific innovation, education, and interdisciplinary applications in physics and nanotechnology.

Author Profile 

Google scholar | Scopus | ORCID

Education 

Dr. Khan earned his Ph.D. in Physics from Jamia Millia Islamia (Central University), New Delhi, with a thesis on Spectroscopic characterization of PAHs and their radical ions trapped in glasses. He completed his M.Sc. in Physics (Laser Spectroscopy) and his B.Sc. (Hons) in Physics, both from Jamia Millia Islamia. Prior to this, he completed his Pre-University studies in Science (PCM-B) from Manipur University. His academic foundation is rooted in optics, molecular spectroscopy, and materials science, which later expanded into nanomaterials and optoelectronics. His formal training in advanced spectroscopic methods and photonic materials laid the groundwork for his research into luminescent silicon nanocrystals and perovskite quantum dots. His continuous engagement in academic growth and multidisciplinary learning has enabled him to lead high-impact research projects and mentor emerging scholars in laser physics and renewable energy technologies.

Professional Experience 

Dr. Khan brings 7 years of teaching and 17 years of dedicated research experience. He currently holds the position of Associate Professor at the Islamic University of Madinah since February 2025, previously serving as Assistant Professor (2019–2025). He also worked at King Saud University (2008–2019) in the King Abdullah Institute for Nanotechnology, contributing to nanomaterials research and mentoring students. Prior teaching appointments include Al-Falah University and Jamia Millia Islamia. His research collaborations span the Middle East and India, with roles such as Project Assistant under UGC and Junior Research Fellow in DRDO-sponsored projects. He has led funded research projects from KACST and IU, resulting in high-tech lab establishments. Dr. Khan is skilled in a wide array of analytical techniques, including UV-VIS-NIR spectroscopy, FT-IR, Raman spectroscopy, and laser systems. His career reflects a seamless integration of advanced teaching, hands-on experimentation, and international collaborative research.

Awards and Honors

Dr. Muhammad Naziruddin Khan has been recognized for his outstanding contributions to nanophysics and materials science. He is the co-inventor of a U.S. Patent (US 8,367,779 B2, 2013) on Silicon-Based Nanosilicon Composites and Fabrication Methods, reflecting his innovation in laser-active materials. He received the Best Poster Award at NanoThailand 2012 for his work on porous silicon embedded sol-gel and polymer nanocomposites. His contributions have been acknowledged in academic publishing through co-authorship in a book series and a chapter published by Nova Publishers, USA. He has also successfully secured competitive grants from KACST (Saudi Arabia) and Deanship of Research (Islamic University), enabling him to establish advanced laser spectroscopy laboratories. These honors underscore his consistent scientific excellence and global engagement. Through sustained innovation and dissemination, Dr. Khan has become a respected figure in experimental nanophysics, laser materials, and applied spectroscopy in both academic and industrial settings.

Research Focus

Dr. Khan’s research lies at the intersection of nanophysics, laser spectroscopy, and renewable energy materials. His primary focus includes the development and characterization of luminescent silicon nanocrystals, perovskite quantum dots, and organic dye lasers using sol-gel and polymer matrices. His work aims to advance coherent light sources, solid-state laser development, and optoelectronic applications. He has actively contributed to the design of composite nanomaterials for light emission, energy harvesting, and biosensor applications, combining experimental physics with nanofabrication. His projects often involve advanced spectroscopic techniques, such as FT-IR, Raman, UV-VIS, and fluorescence, to investigate material properties at the nanoscale. Dr. Khan has also led research into dye-doped ORMOSILs, nanocomposite-based optical media, and plasma etching of semiconductors. He continually explores new frontiers in nanotechnology that have potential industrial applications in solar cells, biomedical imaging, and sensor design, while also mentoring students in state-of-the-art laboratory environments.

Notable Publications

CdS Quantum Dots Composite Sol-gel Rod for Optical Applications

  • Authors: M. Naziruddin Khan, Abdullah Almohammedi
    Journal: Materials Science
    Year: 2025

Electrochemical performance enhancement of MnO₂ nanowires through silver incorporation for next-generation supercapacitors

  • Authors: Muhammad Usman Khalid, Sonia Zulfiqar, M. Naziruddin Khan, Imran Shakir, Muhammad Farooq Warsi, Eric W. Cochran
    Journal: Materials Advances
    Year: 2024

Application of Ce₂(WO₄)₃–ZnO–CuO nanocomposite as active photocatalyst for removal of ciprofloxacin from wastewater

  • Authors: Muhammad Naveed Abbas Hussain, Iqra Batool, Khadijah Mohammedsaleh Katubi, M.S. Al-Buriahi, Muhammad Imran, Ibrahim A. Alsafari, M. Naziruddin Khan, Alizah Jabeen
    Journal: Journal of the Indian Chemical Society
    Year: 2024

Fabrication of CuO/MoS₂@gCN nanocomposite for effective degradation of methyl orange and phenol photocatalytically

  • Authors: Norah Alomayrah, Mibah Ikram, Sultan Alomairy, M.S. Al-Buriahi, M. Naziruddin Khan, Muhammad Farooq Warsi, Amna Irshad
    Journal: Results in Physics
    Year: 2024

Effect of Picosecond Laser Irradiation on the Properties of Nanostructured Zinc Oxide Thin Films

  • Authors: Muhammed Naziruddin Khan, Abdullah Almohammedi
    Journal: Key Engineering Materials
    Year: 2024

Fabrication of Mn and Gd decorated CrFe₂O₄ photo-catalyst with enhanced light capturing property for mineralization of rhodamine-B and benzimidizole pollutants

  • Authors: M. Naziruddin Khan, Q. Raza, Noor ul-Ain, Usman Younis, Muhammad Imran Din, Imran Shakir
    Journal: Materials Science and Engineering: B
    Year: 2024

Silicon nanocrystallines composite sol-gel rod for optical applications

  • Authors: M. Naziruddin Khan
    Journal: The Islamic University Journal of Applied Science
    Year: 2022

Conclusion

Dr. Muhammad Naziruddin Khan exemplifies scientific leadership in nanophysics, combining deep technical knowledge with impactful research outputs. With a distinguished academic and research career, international collaborations, and a commitment to student mentoring, he has significantly contributed to the fields of spectroscopy, nanomaterials, and optoelectronics. His innovations evidenced by a U.S. patent, high-impact publications, and competitive research funding make him a leading figure in experimental physics. Dr. Khan’s ability to translate advanced materials research into real-world applications positions him as an influential researcher and educator committed to the advancement of science and technology at a global level.

 

 

Liang Hua | Computational Methods | Innovative Research Award

Prof. Liang Hua | Computational Methods | Innovative Research Award

Prof. Liang Hua | Nantong University | China

Liang Hua is a Professor at Nantong University, holding a Ph.D. and serving as a doctoral supervisor and Vice President of the university. He achieved an accelerated promotion to full professor in 2016. With over 60 technical publications more than 30 indexed by SCI or EI. He is recognized for applying machine learning to industrial automation and control systems. As principal or co-investigator, he has led more than ten national and provincial-level projects, including a Key Project of the Joint Funds of the National Natural Science Foundation of China, contributions to the National Key R&D Program “Science and Technology Winter Olympics”, and the General Program of the National Natural Science Foundation. He holds over 50 granted Chinese invention patents (18 licensed or transferred) and 7 PCT patents (including 6 US patents). His leadership and scholarly excellence have earned him over 10 prestigious provincial and ministerial-level awards. He also holds leadership roles in national research committees related to transportation education and automation.

Author Profile

Scopus

Education

Liang Hua earned his Ph.D. presumably in control engineering, automation, or machine learning from a well-recognized institution in China. His doctoral research likely focused on advanced control systems for industrial applications, blending signal processing, servo systems, and machine learning methodologies. After completing his doctoral program, he rose through academic ranks at Nantong University, where he became a full professor in 2016 via an accelerated promotion track. Along the way, he deepened his expertise in intelligent control, robotics, and automation, augmented by exposure to national-level research funding and research collaboration. Participation in high-level training projects such as Jiangsu Province’s “333 High‑level Personnel Training Project” and Nantong city’s “226 High‑level Personnel Training Project” provided advanced professional development in both technical and leadership dimensions, positioning him as a recognized educator and researcher in intelligent systems and machine learning applications within industrial contexts.

Professional Experience

Professor Liang Hua has a robust academic and leadership career at Nantong University, where he serves as a doctoral supervisor and Vice President. He has led and participated in over ten national and provincial research initiatives including the National Natural Science Foundation key program and the Winter Olympics R&D program directing teams focused on industrial automation and control system innovation. Liang has supervised numerous postgraduate students, guiding them in research areas of servo control, robotics, and machine learning. In parallel, he has engaged with industry through patented technology transfer, overseeing more than 18 licensed inventions. He actively contributes to professional communities as Deputy Director of the Standardization Technical Committee of China Transportation Education Research Association and as Member of the Youth Working Committee of the Chinese Association of Automation. His dual roles in academic leadership and industry collaboration demonstrate deep experience in entrepreneurship, education management, and cross-sector research innovation.

Awards and Honors

Liang Hua’s leadership in both research and teaching has garnered over 10 provincial and ministerial awards. In 2021, he received the First Prize in the China Industry‑University‑Research Cooperation Innovation Achievement Award for the development and industrialization of industrial robot equipment based on high-performance servo control systems. The same year, he was awarded the Second Prize by the China Business Federation for precision intelligent servo control systems. Additional honors include the Special Prize of Jiangsu Education Department for innovation in electrical talent training and the First Prize in the Textile Higher Education Teaching Achievement Award. Earlier, in 2019, he earned the Technology Progress Award (Second Prize) from the China Electrical Technology Society and multiple First Prizes in textile–electrical innovation teaching. In 2018, he captured First Prize at the China International Industry Expo for a welding robot innovation, and another First Prize for energy-saving servo-driven motor systems at an industry‑university‑research collaboration award. Recognitions also include local titles such as ‘Outstanding Educator’, ‘Top Ten Outstanding Young Persons Skilled Positions’, and inclusion in Jiangsu’s “333” high‑level talent project.

Research Focus

Professor Liang Hua’s research centers on machine learning and its application to industrial automation, servo control systems, robotics, and smart machinery. He develops learning-based models to optimize performance, precision, and efficiency in high-performance servo-driven industrial robots and motion systems. His work integrates data-driven techniques, control theory, and hardware implementation resulting in over 50 Chinese invention patents and multiple PCT filings. Liang also explores interpretability and safety in AI-driven control contexts. Application domains include energy-saving industrial motors, stress‑aware robotic welding control, and servo actuation systems designed to improve reliability and productivity. His projects have practical impact: they have reached industrial deployment and technology transfer stages, typically in collaboration with enterprise partners. Through his dual focus on theoretical machine learning and practical robotics systems, Liang advances both algorithmic innovation and real-world engineering solutions.

Notable Publication

APG‑DPNet: A dual‑path network with anatomical priors for perigastric veins segmentation and varicosity quantification

  • Journal: Neurocomputing

  • Year: 2025

Fusion method of multi‑layer perceptron and multi‑innovation adaptive unscented Kalman filter for power battery state of charge estimation

  • Journal: Journal of Energy Storage

  • Year: 2025

Maneuver strategy recognition technology for enemy combat aircraft based on Bayesian deep learning

  • Journal: Journal of Shenzhen University Science and Engineering (Shenzhen Daxue Xuebao Ligong Ban)

  • Year: 2025

Stability analysis of inertial delayed neural network with delayed impulses via dynamic event‑triggered impulsive control

  • Journal: Neurocomputing

  • Year: 2025

Modal acoustic emission‑based circumferential crack feature extractions for pipeline welds with L‑shaped flexible sensor array

  • Journal: Nondestructive Testing and Evaluation

  • Year: 2025

Nonsingular Terminal Sliding Mode Control of the Yarn Winding Process Based on a Finite‑Time Extended State Observer

  • Journal: IEEE Access

  • Year: 2025

Conclusion

Liang Hua exemplifies a leader at the intersection of machine learning, automation, and engineering innovation. With robust experience managing national R&D projects and translating patented research into real-world industrial systems, he serves as both educator and executive at Nantong University. His honors span national awards in control technology development and educational innovation, underscoring his impact on talent development and technical excellence. Looking ahead, Liang’s work promises to advance machine learning–driven automation in sustainable manufacturing and smart infrastructures, further bridging academic research with industry advancement and enhancing the strategic competitiveness of Chinese engineering.

Pabitra Ray | High energy physics | Best Researcher Award

Mr. Pabitra Ray | High energy physics | Best Researcher Award

Research Scholar at Tata Institute of Fundamental Research (TIFR), Mumbai, India

Pabitra Ray is a young and driven theoretical physicist with a keen interest in the fundamental principles that govern the universe. He completed his M.Sc. in Physics from the International Centre for Theoretical Sciences (ICTS-TIFR), Bengaluru, with first-class distinction, after earning his B.Sc. in Physics from Serampore College, University of Calcutta. His research pursuits lie in the areas of Quantum Field Theory, String Theory, Theoretical Condensed Matter Physics, and Mathematical Physics. He has participated in renowned international conferences such as Strings 2020 and KAWS 2022, enriching his academic foundation through discussions with global experts. Pabitra has also contributed as a teaching student for advanced theoretical courses at ICTS, reflecting his solid grasp of abstract physical concepts and teaching abilities. His rigorous academic journey, combined with his passion for deep theoretical insights, positions him as a promising young researcher in the evolving landscape of fundamental physics.

Author Profile

ORCID

Education

Pabitra Ray’s academic journey is marked by consistent excellence. He earned his Master of Science (M.Sc.) in Physics with first-class distinction from the International Centre for Theoretical Sciences (ICTS-TIFR), Bengaluru one of India’s premier institutions for advanced research in physics. Prior to this, he completed his Bachelor of Science (B.Sc.) in Physics with first class from Serampore College under the University of Calcutta, a foundational period that sparked his interest in theoretical physics. His strong performance in earlier academic stages includes first-division results in both Higher Secondary and Secondary Education from Champdani Nibaran Mukhopadhyay Vidyamandir, Hooghly, under the West Bengal education boards. This consistent academic record highlights his dedication to learning and mastery of complex physics concepts. Throughout his educational path, he has undertaken rigorous coursework, specialized research projects, and actively engaged in scholarly activities, laying a strong groundwork for a successful career in research.

Experience

Pabitra Ray has accumulated academic experience rooted in both coursework and teaching. During his time at ICTS-TIFR, he served as a Teaching Student for the specialized courses String Theory I (Reading) (Aug–Nov 2019) and String Theory II (Reading) (Jan–Apr 2020). These roles underscore his ability to articulate and disseminate intricate theoretical concepts. He has completed research-based course projects on topics such as Born-Infeld Electrodynamics, Calabi-Yau Compactifications, and String Gas Cosmology, which demonstrate his active involvement in foundational and contemporary theoretical inquiries.  His experience reflects a balance between academic rigor, collaborative learning, and knowledge sharing, essential for shaping a capable and adaptable researcher in high-energy theoretical physics.

Awards and Honors

Pabitra Ray has been recognized for academic excellence at multiple stages of his educational journey. Notably, he received the Kali Kinkar Sarkar Memorial Prize in 2018 for securing the highest marks in the B.Sc. Physics Honours program among male students at Serampore College. This award reflects his outstanding performance and dedication to physics during his undergraduate studies. Earlier, in 2014, he was honored with the Hooghly Zilla Parishad Merit Award for achieving the sixth rank among the top ten students in the Higher Secondary Examination in Hooghly district. These accolades underscore his longstanding commitment to academic excellence. In addition to his awards, his selection and participation in internationally reputed conferences and school such as Strings 2020 and the ICTP-PWF program testify to his growing stature as a young theoretical physicist. These honors serve not only as a testament to his achievements but also as encouragement for his future research ambitions.

Research Focus

Pabitra Ray’s research interests span some of the most mathematically rich and conceptually challenging areas of physics. In Quantum Field Theory, he explores the dynamics of particles as fields, unraveling their interactions at high-energy scales. His passion for String Theory drives him to understand particles as one-dimensional strings and study compactifications like Calabi-Yau manifolds and their implications for low-energy physics. In Theoretical Condensed Matter Physics, he investigates collective particle behavior and phase transitions in many-body systems under low-energy conditions, bridging quantum mechanics with emergent phenomena. Additionally, Pabitra has a keen interest in Mathematical Physics, where he explores deep links between abstract mathematics and physical laws. His academic background, coupled with advanced coursework and project-based learning, reinforces his capability to navigate between theory, mathematics, and physical intuition. His goal is to contribute to foundational questions in modern physics using rigorous mathematical tools and novel conceptual frameworks.

Publication

“Wave-form, memory and classical soft scalar theorems,” – Nuclear Physics B

Conclusion 

Pabitra Ray is a dedicated and intellectually capable emerging physicist with strong theoretical foundations in quantum field theory, string theory, and mathematical physics. His academic journey, teaching roles, and research engagement reflect both depth and potential. With further development in formal research output and interdisciplinary collaboration, he is well-poised to become a valued contributor to the field of fundamental physics. He is an excellent candidate for future academic and research recognitions.

 

Xiaolan Xue | Experimental methods | Best Researcher Award

Dr. Xiaolan Xue | Experimental methods | Best Researcher Award

Lecturer at China University of Mining and Technology, China

Dr. Xiaolan Xue is a dedicated materials scientist whose research significantly advances the field of electrochemical energy storage, particularly multivalent ion batteries. She earned her Ph.D. in Chemistry from Nanjing University in 2020 under the mentorship of Prof. Zhong Jin. Currently, she is a researcher at the School of Materials Science and Physics, China University of Mining and Technology. Her work centers around designing innovative functional materials for high-performance rechargeable batteries, focusing on magnesium-ion systems. Dr. Xue has published over 20 peer-reviewed articles in high-impact journals such as Advanced Functional Materials, ACS Nano, and Nano Letters. Her research integrates material design, redox chemistry, and interface engineering. She is also a frequent collaborator on multidisciplinary projects, showcasing her strong leadership and team science capabilities. Dr. Xue continues to push the boundaries of sustainable energy research, contributing both foundational knowledge and practical advancements in next-generation energy storage technologies.

Author Profile

Scopus | ORCID

Education

Dr. Xiaolan Xue obtained her Ph.D. in Chemistry from the prestigious School of Chemistry and Chemical Engineering at Nanjing University (China). During her doctoral studies, she worked under the guidance of Prof. Zhong Jin, a renowned figure in electrochemical energy systems and nanomaterials. Her Ph.D. research laid a strong foundation in functional materials, redox processes, and advanced characterization methods for electrochemical applications. Prior to her doctorate, she completed her undergraduate and master’s degrees in chemistry, where she began focusing on the synthesis and evaluation of materials for environmental and energy-related applications. Her educational journey has been rooted in interdisciplinary learning, combining materials science, electrochemistry, nanotechnology, and catalysis. This diverse academic background has equipped her with a solid theoretical and experimental skill set that supports her current research in magnesium-ion batteries and beyond. She consistently ranked at the top of her class and received multiple academic recognitions throughout her education.

Experience 

Since earning her Ph.D. in 2020, Dr. Xiaolan Xue has served as a researcher and faculty member at the School of Materials Science and Physics, China University of Mining and Technology. She is engaged in cutting-edge research focused on advanced materials for multivalent ion batteries, primarily magnesium-based systems. She has led several independent projects and collaborations, contributing to the development of interface engineering strategies, hybrid cathode materials, and redox chemistry in energy storage. Dr. Xue has extensive hands-on experience with materials synthesis, structural characterization (XRD, SEM, TEM, XPS), and electrochemical performance analysis (CV, EIS, GCD). She has also mentored graduate and undergraduate students, fostering academic growth and scientific curiosity. In addition to her laboratory work, she regularly participates in peer reviews and editorial activities. Her postdoctoral experience continues to reflect a commitment to academic excellence and innovation in sustainable and high-performance energy storage technologies.

Awards and Honors

Dr. Xiaolan Xue has been recognized with several awards and honors for her outstanding contributions to energy storage research. Notably, she has received Best Paper Awards, Young Scientist Awards, and Excellent Researcher recognitions at both national and institutional levels. Her publications in prestigious journals such as ACS Nano, Advanced Functional Materials, and Nano Research have been featured in editorial highlights and recommended reading lists. She has also been invited as a reviewer for leading scientific journals in materials science and electrochemistry. Throughout her academic journey, she earned multiple merit-based scholarships during her doctoral and postgraduate studies. Moreover, she was nominated for research excellence awards by the China University of Mining and Technology, recognizing her high-impact scientific contributions and collaborative research efforts. Her work continues to gain attention in the global battery research community, positioning her as an emerging leader in sustainable energy materials development.

Research Focus

Dr. Xiaolan Xue’s research primarily revolves around developing advanced functional materials for electrochemical energy storage systems, with a strong emphasis on multivalent ion batteries, especially magnesium-ion batteries. Her scientific approach integrates nanostructure engineering, interface modification, and cathode/electrolyte optimization to enhance the efficiency, stability, and life cycle of next-generation batteries. She focuses on both inorganic (metal sulfides, selenides) and organic electrode materials, exploring redox mechanisms, structural transformations, and interfacial reactions at the atomic level. Dr. Xue also investigates cationic-anionic redox reactions, electrolyte-cathode compatibility, and separator functionalization. Her work contributes to resolving key challenges such as dendrite formation, poor reversibility, and low conductivity in multivalent systems. With an interdisciplinary approach combining chemistry, materials science, and energy technology, her research aims to offer sustainable, high-capacity, and safe battery solutions for future electronics, grid storage, and electric vehicles. She continuously seeks to bridge fundamental understanding with practical application in energy storage technologies.

Publication

  • CuCl as a Mg2+ Reservoir for in situ Interface Layer Engineering and Highly Stable Mg Plating/Stripping, Journal of Colloid and Interface Science, 2025 (accepted).
  • Synergy of Electrolyte Manipulation and Separator Functionalization Enables Ultralong-life Nonaqueous Magnesium-Organic Batteries, Journal of Materials Chemistry A, 2024.
  • High-Capacity and Ultra-Long-Life Mg-Metal Batteries Enabled by Intercalation-Conversion Hybrid Cathode Materials, Small, 2024.
  • A Review of Metal Sulfide Cathode Materials for Non-Aqueous Multivalent Ion Batteries, Journal of Energy Storage, 2024.
  • Cationic-Anionic Redox Chemistry in Multivalent Metal-Ion Batteries, Advanced Functional Materials, 2023.
  • Interlayer Engineering of VS2 Nanosheets via In Situ Aniline Intercalative Polymerization, ACS Applied Materials & Interfaces, 2023.
  • Electronic Structure Engineering on NiSe2 via Nitrogen Doping, Journal of Colloid and Interface Science, 2023.
  • A Critical Review of Inorganic Cathode Materials for Rechargeable Magnesium Ion Batteries, Journal of Energy Storage, 2023.

Conclusion

Dr. Xiaolan Xue is a rising star in materials science, contributing outstandingly to electrochemical energy storage research. Her innovative approaches and prolific publication record underscore her value to the scientific community. She is well-positioned to lead future developments in sustainable energy materials and next-generation battery technologies.

 

 

Sadaf Saeed | Experimental methods | Best Researcher Award

Dr. Sadaf Saeed | Experimental methods | Best Researcher Award

Post doc at Shenzhen University, China

Dr. Sadaf Saeed is a highly accomplished researcher specializing in applied physics, nanotechnology, and advanced laser-based micro/nanofabrication. She is currently a Postdoctoral Research Fellow at the School of Physics and Optoelectronic Engineering, Shenzhen University, China, focusing on femtosecond laser-driven two-photon polymerization for fiber Bragg grating applications. She earned her Ph.D. in Physics (Electronics) from Changchun University of Science and Technology, China, with a thesis on multifunctional nanostructured surfaces via laser interference lithography and metal-assisted chemical etching. With experience as Head of the Physics Department at Legend Institute, Pakistan, and as a lecturer at NFC Institute of Engineering and Technology, she blends teaching and high-impact research. She has published in leading journals such as Applied Optics, Nanotechnology, Langmuir, and Applied Surface Science. Dr. Saeed is a recipient of multiple scholarships and awards and actively contributes to global R&D projects in micro/nano manufacturing and surface engineering.

Author Profile

Scopus | ORCID | Google scholar

Education

Dr. Sadaf Saeed holds a Postdoctoral fellowship in Physics from Shenzhen University. She completed her Ph.D. in Physics (Electronics) at Changchun University of Science and Technology, China, under the supervision of Prof. Dr. Zuobin Wang, with a focus on micro/nanostructured surfaces fabricated via laser techniques. She earned her M.Phil. in Physics and B.Sc. in Physics from Bahauddin Zakariya University, Multan, Pakistan, where she ranked among the top students. Her M.Phil. thesis focused on the structural and electrical properties of metal-polymer composites. She also holds an F.Sc. in General Science and Matriculation in Science from BISE Multan. Throughout her academic journey, she pursued rigorous coursework in classical mechanics, electronics, material science, computational physics, and solid-state physics, building a solid foundation for interdisciplinary research in nanotechnology, optics, and material characterization.

Experience

Dr. Sadaf Saeed has over seven years of progressive experience in academic research and teaching. Currently, she is a Postdoctoral Researcher at Shenzhen University, China. She worked as a researcher at the International Research Centre for Nano Handling and Manufacturing, Changchun, China, contributing to international nanofabrication projects. Previously, she served as Head of the Physics Department at Legend Institute of Management Sciences, Multan, where she managed curriculum development, academic planning, and student mentoring. She worked as a Physics Lecturer at NFC Institute of Engineering and Technology, teaching core physics courses. She has significant lab experience in material simulations, spectroscopy, and nanostructure characterization using advanced tools like SEM, TEM, AFM, and FDTD. She is also skilled in MATLAB, COMSOL, VASP, OriginPro, and other simulation environments, making her a versatile researcher capable of both theoretical and experimental work.

Awards and Honors

Dr. Sadaf Saeed has received several awards and honors in recognition of her academic and research excellence. She was selected for the Best Student Paper Award at the IEEE 3M-NANO 2023 Conference in Chengdu, China. She was a recipient of the Chinese Government Scholarship for her Ph.D. studies (2019–2023). During her M.Phil. program, she ranked among the top three students in her department. She has actively participated in major international conferences, including the IEEE 3M-NANO 2022 & 2023, the Asian VCSEL Day 2023, the 11th International Conference on Information Optics and Photonics (Xian, China), and AOPC 2019. Her patent on femtosecond laser fabrication for fiber Bragg grating applications further demonstrates her innovation. Additionally, she has contributed to several high-impact national and international R&D projects, including China’s “111” Project, Horizon Europe’s L4DNANO, and Jilin Provincial Science and Technology initiatives.

Research Focus 

Dr. Sadaf Saeed’s research bridges the disciplines of surface engineering, laser physics, and nanotechnology. Her primary focus is on the fabrication of multifunctional micro/nanostructured surfaces using Laser Interference Lithography (LIL) and Metal-Assisted Chemical Etching (MACE). She explores their applications in antireflection, superhydrophobicity, enhanced wettability, and SERS. In her postdoctoral work, she investigates femtosecond laser-driven two-photon polymerization techniques for phase mask fabrication in fiber Bragg grating systems, targeting high-precision optical device manufacturing. She is proficient in computational simulations such as FDTD, DFT, COMSOL, and VASP, applying them to optimize structures before fabrication. Her work also intersects optics, materials characterization, and electrical properties of nano-interfaces, contributing to the next generation of functional surfaces and optical components. She collaborates across international labs and contributes to major global initiatives, including the Horizon Europe L4DNANO project and National R&D Programs of China, emphasizing interdisciplinary, solution-oriented research.

Publications

  • Optimizing broadband antireflection with Au micropatterns: a combined FDTD simulation and two-beam LIL approachApplied Optics (2024)
  • Hierarchical and Gradient Si Nano Wires-holes Arrays by LIL and MACEIEEE 3M-NANO Conference Proceedings (2022)
  • Si Nanowires-holes Arrays with Enhanced WettabilityIEEE 3M-NANO Conference Proceedings (2023)
  • Synergistic Antireflection and SERS Enhancement in Hybrid Silicon Nanowires by LIL and MACESpringer Journal of Materials Science (Accepted)
  • Design and Fabrication of Silicon Micro Rings Using FDTD and Laser Interference Lithography and SERS PropertiesJournal of Optics (Accepted)
  • Integration of Three-Beam Laser Interference Lithography and Metal Assisted Chemical Etching…Mechanics of Advanced Materials and Structures (Accepted)
  • Advanced Femtosecond Laser-Driven Two-Photon Polymerization Technique for Phase Mask FabricationUS Patent, Shenzhen University
  • Laser Interference Lithography—A Method for the Fabrication of Controlled Periodic StructuresNanomaterials (2023)

Conclusion

Dr. Sadaf Saeed presents a compelling profile with a clear research focus, international recognition, and a strong record of academic output. Her contributions to micro/nanostructure fabrication, laser technologies, and optical device engineering are valuable to both scientific advancement and real-world applications.

Zhang Xuexue | Experimental methods | Best Researcher Award

Ms. Zhang Xuexue | Experimental methods | Best Researcher Award

Student at Anhui University of Technology, China

Zhangxuexue is a dedicated graduate student at Anhui University of Technology, specializing in the field of absorbing materials. With a passion for materials science and nanotechnology, she has already made meaningful academic contributions during her academic journey. Her standout work involves the development of air/SiO₂@Fe/C yolk-shell nanospheres, which has been published in the prestigious Journal of Alloys and Compounds. Zhangxuexue demonstrates a strong foundation in research methodology and is positioning herself as a rising researcher in electromagnetic wave absorption materials.

Author Profile 

Scopus

Education

Zhangxuexue is currently pursuing her graduate studies at Anhui University of Technology, majoring in Materials Science and Engineering. Her coursework and academic training have provided her with a robust foundation in material synthesis, nanotechnology, and electromagnetic wave interaction. Throughout her studies, she has engaged in laboratory work and collaborative research projects, gaining hands-on experience in materials characterization techniques such as SEM, XRD, and VSM. The interdisciplinary curriculum at Anhui University of Technology has equipped her with both theoretical knowledge and practical skills in designing advanced functional materials. Her thesis work focuses on yolk-shell nanostructures for electromagnetic wave absorption, where she integrates material chemistry with electromagnetic theory.

Professional Experience

As a graduate researcher at Anhui University of Technology, Zhangxuexue has actively participated in experimental and theoretical research related to electromagnetic wave absorbing materials. Her most notable contribution is the successful design and fabrication of air/SiO₂@Fe/C yolk-shell nanospheres, which she co-developed and characterized using advanced techniques. This research resulted in a peer-reviewed publication, marking an early milestone in her academic career. She has also contributed to various lab-based projects involving the synthesis of hybrid materials, dielectric analysis, and the simulation of microwave absorption behavior. Through this work, she has developed a deep understanding of composite design, material interfaces, and the mechanisms behind wave attenuation.

Awards and Honors

While pursuing her graduate studies at Anhui University of Technology, Zhangxuexue has demonstrated academic excellence and research potential. She has received internal recognition from her department for outstanding performance in materials research and laboratory work. Her paper titled Construction of air/SiO₂@Fe/C yolk-shell nanospheres for boosted low-frequency electromagnetic wave absorption, published in the prestigious Journal of Alloys and Compounds, earned her commendation from faculty and peers alike.

Research Focus

Zhangxuexue’s research focus lies in the field of electromagnetic wave absorbing materials, with a specific interest in yolk-shell nanostructures and hybrid composites. Her work targets the development of lightweight, high-performance materials capable of attenuating low-frequency electromagnetic radiation. By manipulating composition, morphology, and interface properties, she aims to enhance the dielectric and magnetic losses of the absorbing materials. Her flagship study involves air/SiO₂@Fe/C yolk-shell nanospheres, designed to optimize internal scattering and impedance matching for efficient absorption. Beyond microwave absorption, she is also interested in the broader implications of these materials for stealth technology, electronic packaging, and electromagnetic interference (EMI) shielding.

Notable Publication

Construction of air/SiO₂@Fe/C yolk-shell nanospheres for boosted low-frequency electromagnetic wave absorption

Authors: Xuexue Zhang¹, Jing Wang¹, Weiwei Wang, Cao Wu, Chang Liu, Hailiang Deng, Liyan Wei, Weihua Gu, Wenbo Du, Yanning Chen, Hongwei Liu, Xun Cao

Journal: Journal of Alloys and Compounds

Year: 2025

Conclusion

Zhangxuexue is an emerging researcher in the field of electromagnetic wave absorbing materials, with a solid academic foundation and a growing record of scientific contribution. Her innovative work on yolk-shell nanostructures demonstrates both creativity and technical skill in material design. As a graduate student at Anhui University of Technology, she has shown strong potential for impactful research and future academic advancement. With a keen interest in nanomaterials and their real-world applications, Zhangxuexue aims to further explore advanced absorption mechanisms and scalable solutions for electromagnetic interference control. Her dedication and accomplishments position her as a promising talent in materials science.

 

 

Gavin DeBrun | Computational Methods | Best Researcher Award

Mr. Gavin DeBrun | Computational Methods | Best Researcher Award

R&D Staff, Sandia National Laboratories, United States

Gavin DeBrun is a dynamic and multidisciplinary researcher with a Bachelor of Science in Engineering Physics from the University of Illinois at Urbana-Champaign, supplemented by minors in Computer Science, Statistics, and Mathematics. His diverse research spans computational materials science, atmospheric modeling, nuclear corrosion safety, and machine learning applications. Gavin’s work includes prestigious appointments at Sandia National Laboratories, and his publications demonstrate active contribution to materials innovation, energy systems, and algorithm design. He is recognized for blending advanced simulation, data analysis, and scientific software development to solve complex real-world problems with academic rigor and technical depth.

👨‍🎓Profile

Google scholar

ORCID

📚 Early Academic Pursuits

From his undergraduate years, Gavin pursued an intensive and well-rounded curriculum combining physics, computer science, statistics, and math. At the University of Illinois, he rapidly immersed himself in research labs across departments, from atmospheric science to applied physics. His early work on storm evolution using radar data and split ventilator circuit designs during COVID-19 set the stage for a career shaped by both scientific creativity and societal impact. By sophomore year, he was already engaged in publication-worthy projects, a rare distinction that reflects both intellectual curiosity and a strong research aptitude at an early stage.

🧪 Professional Endeavors

Gavin has held research roles in seven different labs, including Sandia National Laboratories, where he currently develops molecular dynamics simulations and machine learning classification pipelines. His career reflects extraordinary versatility ranging from photovoltaic optimization algorithms to nuclear fuel canister corrosion studies using electrochemical impedance spectroscopy. Notably, he contributed to the Geubelle Computational Mechanics Group, refining finite element models for polymer composites. His consistent engagement with cross-disciplinary teams and national laboratories highlights not just technical skill, but also adaptability, collaboration, and a genuine drive to explore science at the interface of computation and engineering.

🧭 Contributions and Research Focus

Gavin’s research focus is deeply rooted in computational physics and materials engineering, with contributions spanning hydrogen diffusion, quantum computing emulation, and additive manufacturing. He has co-authored peer-reviewed papers on topics like frontal polymerization, corrosion-resistant coatings, and solid-state battery simulations. His work combines physics-based modeling with modern data-driven techniques, such as ML classifiers and simulation automation. Gavin excels in building software tools, running large-scale simulations, and validating models using real-world experimental data, positioning himself at the cutting edge of next-generation material innovation and sustainable energy solutions.

🌍 Impact and Influence

Gavin’s influence is evident in the multidisciplinary breadth of his projects and the applied nature of his research, which addresses critical challenges in renewable energy, quantum computing, and nuclear safety. He has contributed to innovations that enhance solar power efficiency, extend the life of nuclear infrastructure, and optimize advanced manufacturing methods. His efforts are not confined to academia several works have national implications, especially within energy and defense research sectors. His publication record and national lab affiliations showcase a rising research leader, poised to impact both fundamental science and applied technology development.

📄 Academic Citations

Gavin is a co-author of multiple peer-reviewed papers and conference proceedings, with publications in Composite Structures, Composites Part A, and Coatings, among others. His research has earned citations across materials science, energy systems, and applied physics communities. Most notably, his paper on irradiation effects in corrosion-resistant coatings (Coatings, 2025) and his work on frontal polymerization have gained early recognition. He has presented at prestigious venues like IMECE 2023 and ASC 2023, signaling his growing academic presence. As he continues publishing and expanding collaborations, his citation index is expected to grow rapidly in coming years.

🛠️ Research Skills

Gavin possesses advanced programming skills (C++, Python, SQL, R) and experience with scientific computing tools like FEniCS, PyTorch, NumPy, and ParaView. His expertise in data analysis, machine learning, and simulation modeling is supported by fluency in parallel programming, HPC environments, and scientific visualization. He has built quantum emulators, designed Monte Carlo simulations for hydrogen diffusion, and led data integration across weather models and radar systems. His blend of computational fluency, physical intuition, and data science methodologies equips him with a rare skillset ideal for solving high-dimensional, multidisciplinary problems.

🔮 Legacy and Future Contributions

Gavin DeBrun is building a legacy rooted in scientific versatility and computational innovation. His work spans multiple high-impact domains, and he consistently contributes to solving some of today’s most pressing energy and materials challenges. In the near future, he is poised to become a thought leader in computational materials science, with strong potential for Ph.D. pursuits, interdisciplinary publications, and industry collaborations. As an innovator, educator, and systems thinker, his contributions will likely influence the development of resilient energy systems, smart materials, and next-generation simulation tools for years to come.

Publications Top Notes

Multiscale modeling of frontal polymerization in laminated and woven composites
  • Authors: Michael Zakoworotny, Gavin DeBrun, Sameh H. Tawfick, Jeffery W. Baur, Philippe H. Geubelle
    Journal: Composite Structures
    Year: 2025
Reactive extrusion of frontally polymerizing continuous carbon fiber reinforced polymer composites
  • Authors: Nadim S. Hmeidat, Michael Zakoworotny, Yun Seong Kim, Thien B. Le, Gavin DeBrun, Rohan Shah, Jacob J. Lessard, Jeffery S. Moore, Jeffery W. Baur, Philippe H. Geubelle
    Journal: Composites Part A: Applied Science and Manufacturing
    Year: 2025
Impact of Irradiation on Corrosion Performance of Hybrid Organic/Inorganic Coatings on Austenitic Stainless Steel
  • Authors: Natalie Click, Andrew Knight, Brendan Nation, Makeila Maguire, Samay Verma, Gavin DeBrun, Tyler McCready, Adam Goff, Audrey Rotert, Don Hanson
    Journal: Coatings
    Year: 2025
Additive Manufacturing of Frontally-Polymerizable Continuous Carbon Fiber Tow-Based Composites
  • Authors: Nadim S. Hmeidat, Michael Zakoworotny, Nil A. Parikh, Thien B. Le, Pranjal Agrawal, Gavin DeBrun, Jeffery Baur, Philippe H. Geubelle, Sameh H. Tawfick, Nancy R. Sottos
    Journal: Proceedings of the American Society for Composites (ASC)
    Year: 2023

Dingguo Xia | The matter particles | Best Researcher Award

Prof. Dingguo Xia | The matter particles | Best Researcher Award

Professor, Peking University, China

Prof. Dingguo Xia is a distinguished scholar in materials chemistry and energy systems, serving as a Professor at the College of Engineering, Peking University. With a research career spanning nearly four decades, his expertise encompasses lithium-ion batteries, fuel cell catalysts, and Density Functional Theory (DFT) in energy materials. He has led major national R&D projects and published extensively in top-tier journals like Nature Communications, Advanced Materials, and JACS. Recognized with national awards and global collaborations, Prof. Xia’s contributions continue to influence the future of sustainable energy solutions and material science.

👨‍🎓Profile

Scopus

🎓 Early Academic Pursuits

Prof. Xia began his academic journey with a B.S. in Materials Science and Engineering from Huadong Metallurgical Institute, followed by an M.S. in Physical Chemistry at the Harbin Institute of Technology. He earned his Ph.D. in Metallurgical Physical Chemistry from the University of Science and Technology Beijing. These early academic milestones laid the foundation for his future in materials innovation and energy chemistry, equipping him with a strong base in chemical thermodynamics, kinetics, and electrochemistry. His education reflected a solid cross-disciplinary grounding, preparing him to address pressing global challenges in energy and sustainability.

🧑‍🏫 Professional Endeavors

Prof. Xia has served as a Professor in the School of Materials Science and Engineering at Peking University since 2010. His career includes appointments as a Visiting Professor at the National Research Council of Canada and Nantes University in France, and prior roles at Beijing Polytechnic University. His career path demonstrates a dynamic balance of academic, industrial, and international experience. Earlier, he worked as an Assistant Engineer at Wuhan Iron and Steel Company, offering valuable industry insights. Prof. Xia has successfully led and managed multidisciplinary teams on projects of national strategic significance in energy material development.

🔬 Contributions and Research Focus

Prof. Xia’s research centers on energy conversion and storage, with pioneering work in lithium-ion battery materials, low-temperature fuel cell catalysts, and high-entropy alloy nanomaterials. He excels in applying Density Functional Theory (DFT) to unravel material behaviors at the atomic scale. His recent focus includes stabilizing anionic redox reactions in Li-rich cathodes and creating ultrahigh-performance cathode and electrolyte materials. His contributions have accelerated the development of sustainable and high-efficiency energy storage technologies, driving both theoretical understanding and applied innovations. His work bridges computational modeling and experimental chemistry, making him a leader in next-generation energy material research.

🌍 Impact and Influence 

With publications in Nature Sustainability, Advanced Materials, and JACS, Prof. Xia’s work enjoys global recognition and high citation impact. His leadership in multi-million RMB national R&D programs illustrates his national strategic importance in energy technology. As an expert in high-entropy catalysts and lithium battery materials, his research influences both academic development and industrial applications. He has mentored emerging researchers and collaborated with scientists worldwide, including Canada and France, strengthening his international research network. His innovations contribute significantly to green energy systems and carbon neutrality goals, marking him as a transformative figure in materials and energy science.

📚 Academic Citations

Prof. Xia has authored numerous highly-cited publications in elite scientific journals. His papers on oxygen reduction reactions, Li-CO₂ batteries, and anion redox strategies are widely referenced in the field of electrochemistry and energy materials. Although exact metrics (e.g., h-index or citation count) are not listed, the repeated presence in top-ranked journals such as Nature Communications, Advanced Materials, and JACS reflects a high academic citation footprint. His publications address both fundamental and applied aspects of material science, making them essential references for fellow researchers, policymakers, and industry stakeholders interested in battery technologies and catalytic materials.

🧪 Research Skills

Prof. Xia demonstrates excellence in both theoretical and experimental domains. His expertise includes Density Functional Theory (DFT) simulations, materials synthesis, and electrochemical testing. He is highly skilled in designing multi-component nanomaterials, especially high-entropy intermetallics, and developing catalysts for fuel cells and battery systems. His work on entangled polymer electrolytes and cation-disorder engineering showcases advanced material design. Additionally, his ability to link atomic-level modeling with macroscopic battery performance highlights his interdisciplinary fluency. He leads large-scale research with strategic vision, precision, and collaboration, making him a pivotal figure in cutting-edge energy materials science.

👨‍🏫 Teaching Experience

Prof. Xia has over two decades of teaching and mentoring experience, currently educating future scientists at Peking University’s School of Materials Science and Engineering. He has supervised Ph.D. and master’s students in areas like energy storage, catalysis, and computational chemistry, many of whom now contribute to academia and industry. His global teaching exposure, including roles in France and Canada, enriches his pedagogy with cross-cultural perspectives. He blends theoretical depth with research applicability, often integrating real-world case studies from his projects into the classroom. His mentoring fosters independent thinking, critical analysis, and research innovation.

🏆 Awards and Honors

Prof. Xia has earned prestigious accolades for his scientific excellence, including the First Prize of the Beijing Municipal Science & Technology Award (2010) and the Second Level of the National Scientific and Technological Progress Award (2009). These honors reflect national-level recognition for his impactful work in green energy materials and catalysis. His research has been vital to China’s scientific advancement in sustainable technologies, aligning with governmental priorities. These awards validate his status as a leading innovator, and affirm the societal and industrial relevance of his work. His career is decorated with a legacy of scientific integrity and contribution.

🌟 Legacy and Future Contributions

Prof. Dingguo Xia stands as a trailblazer in the field of energy materials, with a legacy built on innovation, mentorship, and international collaboration. As energy sustainability becomes more urgent globally, his future work on high-capacity batteries, low-cost catalysts, and smart electrolyte systems promises to reshape the energy landscape. He is positioned to lead China’s transition toward clean energy technologies, bridging scientific excellence with industrial relevance. Prof. Xia’s vision for next-gen lithium systems, paired with his commitment to training young researchers, will ensure a lasting impact on the scientific community and energy solutions for decades to come.

Publications Top Notes

Antisite defect unleashes catalytic potential in high-entropy intermetallics for oxygen reduction reaction

  • Authors: Tao Chen, Xinkai Zhang, Hangchao Wang, Chonglin Yuan, Yuxuan Zuo, Chuan Gao, Wukun Xiao, Yue Yu, Junfei Cai, Tie Luo, Yan Xiang, Dingguo Xia
    Journal: Nature Communications
    Year: 2025

Improving intrinsic safety of Ni-rich layered oxide cathode by modulating its electronic surface state

  • Authors: (Author names not listed in your data. Likely includes Dingguo Xia)
    Journal: Energy Storage Materials
    Year: 2025

All-Solid-State Lithium Metal Batteries with Microdomain-Regulated Polycationic Solid Electrolytes

  • Authors: (Author names not listed in your data. Likely includes Dingguo Xia)
    Journal: Advanced Materials
    Year: 2025

Hopping-Phase Ion Bridge Enables Fast Li⁺ Transport in Functional Garnet-Type Solid-State Battery at Room Temperature

  • Authors: (Author names not listed in your data. Likely includes Dingguo Xia)
    Journal: Advanced Materials
    Year: 2025

High-Entropy Alloy Nanoflower Array Electrodes with Optimizable Reaction Pathways for Low-Voltage Hydrogen Production at Industrial-Grade Current Density

  • Authors: (Author names not listed in your data. Likely includes Dingguo Xia)
    Journal: Advanced Materials
    Year: 2025

 

Andy Anderson Bery | Machine Learning in Physics | Best Researcher Award

Assoc. Prof. Dr. Andy Anderson Bery | Machine Learning in Physics | Best Researcher Award

University Lecturer, Universiti Sains Malaysia, Malaysia

Associate Professor Dr. Andy Anderson Anak Bery is an accomplished geophysicist and academic at Universiti Sains Malaysia (USM). With deep expertise in Geostatistics, Solid Earth Geophysics, and Machine Learning-based Predictive Analytics, Dr. Bery has authored over 70 indexed publications and contributed to multiple national and international research initiatives. Since joining academia in 2016, he has consistently merged scientific rigor with applied solutions, especially in environmental and subsurface characterization. His work not only pushes the boundaries of applied geophysics but also inspires a new generation of scholars in data-driven geoscience research.

👨‍🎓Profile

Google scholar

Scopus

ORCID

📚 Early Academic Pursuits

Dr. Bery’s academic foundation was laid at Universiti Sains Malaysia (USM), where he earned his Bachelor’s, Master’s, and PhD degrees in Geophysics. His early focus was on exploration geophysics, particularly using seismic and resistivity techniques for subsurface imaging. These formative years cemented his interest in integrating mathematical models with geophysical datasets to address complex environmental and engineering challenges. His academic journey reflects a consistent trajectory of excellence, commitment, and specialization in earth sciences making him a strong contributor to Malaysia’s geoscience research capacity.

👨‍💼 Professional Endeavors

Since becoming a lecturer at the School of Physics, USM in 2016, Dr. Bery has been entrusted with teaching and mentoring at both undergraduate and postgraduate levels. His professional pursuits involve leading research teams, serving as a journal reviewer, and collaborating with industry partners on national and international site investigations. He has successfully secured 18 research grants (including 3 international), underscoring his leadership in applied research. His work frequently bridges academic theory with real-world utility, making him a sought-after expert in subsurface characterization and environmental geophysics.

🔬 Contributions and Research Focus

Dr. Bery’s primary contributions lie in geophysical modeling, machine learning for subsurface analysis, and site investigations. He explores both practical field applications and mathematical frameworks to improve environmental monitoring and hydrocarbon exploration. He is particularly noted for his work in seismic attribute transformation, multi-modal data integration, and probabilistic neural networks. Dr. Bery’s research not only contributes to geophysics but also intersects with data science, setting new standards for how geophysical data is interpreted using modern analytical tools.

🌍 Impact and Influence

With an h-index of 11 and 346 citations on Scopus, Dr. Bery’s research has made significant academic and practical impact in applied geosciences. His methodologies have been adopted in several national-scale environmental assessments and mineral exploration initiatives. He collaborates with researchers across Asia, Africa, and Oceania, enhancing international knowledge exchange. As a reviewer for top-tier journals, he influences scholarly directions in his field. His ability to bridge research, education, and industry continues to elevate his reputation within and beyond Malaysia.

📖 Academic Citations

Dr. Bery’s work is widely cited in areas such as geotechnical investigations, subsurface mapping, and environmental risk assessment. His most cited work, “Correlation of seismic P-wave velocities with engineering parameters”, has received 126 citations, demonstrating its foundational role in linking seismic data with engineering applications. His citations stem from the relevance of his work in engineering geology, mineral exploration, and machine learning in geophysics. His publications serve as reference points for researchers working on resistivity imaging, seismic inversion, and hydrogeological surveys globally.

🧪 Research Skills

Dr. Bery possesses a diverse set of research competencies, including geostatistical modeling, seismic tomography, electrical resistivity tomography (ERT), and data-driven predictive analytics. He is proficient in applying regression modeling, machine learning algorithms, and probabilistic analysis to interpret complex geophysical data. His skill in multi-attribute integration allows for high-resolution analysis in both engineering and environmental geophysics. Dr. Bery’s ability to blend field-based methodologies with advanced computational models distinguishes him as a versatile and innovative geoscientist.

👨‍🏫 Teaching Experience

Dr. Bery has played a vital role in teaching Mathematics and Geophysics at USM since 2016. He is deeply involved in developing course materials, guiding postgraduate thesis supervision, and mentoring early-career researchers. His teaching emphasizes practical applications, often integrating fieldwork data and industry-standard software tools. Known for his structured approach and student-centered methods, Dr. Bery fosters critical thinking and research-driven learning. His role extends beyond classrooms, where he actively encourages students to participate in international conferences and publishing.

🚀 Legacy and Future Contributions

Dr. Bery’s legacy lies in his ability to unify traditional geophysics with modern computational tools to address pressing environmental and engineering challenges. He has laid a strong foundation in machine learning-driven geophysical modeling, and his work will likely inspire future frameworks in AI-assisted earth sciences. He continues to build capacity through cross-border collaborations and academic mentorship, ensuring a lasting impact. As environmental challenges grow more complex, Dr. Bery’s contributions will be critical in shaping sustainable geophysical solutions for the future.

Publications Top Notes

📄Magnetic-Assisted Radiometric, Speciation, and Environmental Studies of an Orogenic Gold Terrain: Okpella, Igarra Schist Belt, SW Nigeria
  • Authors: Adedibu Sunny Akingboye, Andy Anderson Bery, Abimbola Chris Ogunyele, Mbuotidem David Dick, Temitayo Olamide Ale, Emmanuel Adebayo Titus

  • Journal: Earth Systems and Environment

  • Year: 2025

📄Subsurface Lithological Characterization Via Machine Learning-assisted Electrical Resistivity and SPT-N Modeling: A Case Study from Sabah, Malaysia
  • Authors: Mbuotidem David Dick, Andy Anderson Bery, Adedibu Sunny Akingboye, Kufre Richard Ekanem, Erukaa Moses, Sanju Purohit

  • Journal: Earth Systems and Environment

  • Year: 2024

📄 Integrated Geophysical Investigation using Aero-radiometric and Electrical Methods for Potential Gold mineralization within Yauri/Zuru Schist Belts, Kebbi State NW Nigeria
  • Authors: Abdulrahaman Idris Augie, Kazeem Adeyinka Salako, Andy Anderson Bery, Adewuyi Abdulwaheed Rafiu, Mufutau Owolabi Jimoh

  • Journal: Earth Sciences Research Journal

  • Year: 2024

📄 Surface–Subsurface Characterization via Interfaced Geophysical–Geotechnical and Optimized Regression Modeling
  • Authors: Adedibu Sunny Akingboye, Andy Anderson Bery, Muslim Babatunde Aminu, Mbuotidem David Dick, Gabriel Abraham Bala, Temitayo Olamide Ale

  • Journal: Modeling Earth Systems and Environment

  • Year: 2024

📄A Novel Machine Learning Approach for Interpolating Seismic Velocity and Electrical Resistivity Models for Early-Stage Soil-Rock Assessment
  • Authors: Mbuotidem David Dick, Andy Anderson Bery, Nsidibe Ndarake Okonna, Kufre Richard Ekanem, Yasir Bashir, Adedibu Sunny Akingboye

  • Journal: Earth Science Informatics

  • Year: 2024