Hong Wang | Memristors | Best Researcher Award

Prof. Dr. Hong Wang | Memristors | Best Researcher Award

Dr. Hong Wang is an accomplished Associate Professor at Hebei University, China, specializing in the field of neuromorphic electronics and low-dimensional ferroelectric materials. With a strong academic foundation in Physics, Integrated Circuits, and Optical Engineering, she has rapidly advanced in her field since earning her doctorate in 2021. Her research has led to 15 SCI-indexed publications as a first author, 8 patents, and over 1300 citations, underscoring her scientific impact. Dr. Wang actively collaborates with leading researchers from institutions such as the National University of Singapore, the Chinese Academy of Sciences, and Jilin University, achieving multiple experimental firsts in ferroelectricity and memristor behavior. Her innovative work bridges material science and cognitive computing, making significant contributions to optoelectronic sensing and neuromorphic systems. She is a member of several prestigious scientific societies, including the Chinese Optical Society. Dr. Wang’s dedication and research excellence make her a standout in cognitive science innovations.

Profile

🎓 Education

Dr. Hong Wang’s academic journey began with a Bachelor’s degree in Physics from Beihua University in 2016, which laid the foundation for her interdisciplinary approach to electronic materials. She then earned her Master’s degree in Integrated Circuits from Hebei University in 2018, further refining her expertise in semiconductor and electronic system design. Driven by a passion for optical and neuromorphic technologies, she pursued a PhD in Optical Engineering at Hebei University, completing it in 2021. Her doctoral research focused on the application of low-dimensional ferroelectric materials, contributing valuable insight into the behavior of memristive systems and their implications for artificial neural networks. This strong educational background has enabled her to explore innovative technologies in cognitive sensing and computing, bridging physics, materials science, and neural engineering. Her academic training not only exemplifies depth and rigor but also reflects a unique ability to translate theoretical research into applied cognitive systems.

🧪 Experience

Since 2021, Dr. Hong Wang has served as an Associate Professor at the School of Electronic Information and Engineering, Hebei University. In this role, she has taken on responsibilities spanning research leadership, mentoring graduate students, and leading interdisciplinary projects at the frontier of neuromorphic computing. She has directed five major research projects and collaborated internationally with scholars from Singapore, the Chinese Academy of Sciences, and Jilin University. Her work has provided novel insights into ferroelectricity in materials like SnSe and ReSe₂, and its application in memristive devices. In addition to her academic duties, Dr. Wang has contributed to two industry consultancy projects, aligning academic innovation with technological advancement. Her ability to bridge material innovation with neural system architecture distinguishes her as a versatile and future-oriented cognitive scientist. Her professional experience is marked by innovation, collaboration, and a commitment to enhancing cognitive systems through novel material applications.

🏅 Awards and Honors

While specific awards are not explicitly listed, Dr. Hong Wang’s impressive research metrics and collaborations signify her recognition within the global scientific community. With 15 SCI-indexed publications as first author and over 1365 citations, her work has garnered significant academic attention. Her successful collaborations with leading institutions like the National University of Singapore and the Chinese Academy of Sciences validate her contributions through groundbreaking experimental confirmations in ferroelectric behavior. Additionally, she holds 8 patents, reflecting the originality and applied potential of her research in neuromorphic computing. Her memberships in the Chinese Optical Society, the Chinese Institute of Electronics, and the Chinese Society for Optical Engineering indicate peer recognition and professional trust. These accomplishments, coupled with her high-impact research output, suggest that Dr. Wang is a strong contender for prestigious awards in cognitive science and materials research, and she is an exemplary nominee for the Best Researcher Award in Cognitive Science.

🔬 Research Focus

Dr. Hong Wang’s research centers on the design and application of neuromorphic memristors using low-dimensional ferroelectric materials. She explores how novel quantum dots and two-dimensional semiconductors, such as SnSe and ReSe₂, can mimic synaptic behavior for brain-like computing. A notable achievement includes her demonstration of robust dual-mode optical sensing using ferroelectric quantum dots, enabling both short-range and remote synapse-like responses, leading to high-accuracy image recognition systems. Her experimental work debunks traditional notions in electronics, such as the inertness of Pd electrodes, and provides novel insights into conductive filament formation. Her research has practical implications in artificial vision systems, optoelectronic sensing, and cognitive learning circuits. She is pioneering the application of ferroelectric polarization for neuromorphic behavior, with implications for smart sensing and adaptive cognitive devices. Through multidisciplinary collaborations and material innovations, Dr. Wang is shaping the future of neuromorphic computing, advancing cognitive technologies toward higher efficiency and closer brain mimicry.

Conclusion

Dr. Hong Wang is an emerging leader in neuromorphic computing, merging ferroelectric material innovation with cognitive system design, making her a strong candidate for the Best Researcher Award.

Publications

Ejaz Ahmad Khera | Materials Simulation | Best Researcher Award

Dr. Ejaz Ahmad Khera | Materials Simulation | Best Researcher Award


Dr. Ejaz Ahmad Khera is an Assistant Professor of Physics at The Islamia University of Bahawalpur, Pakistan, and an HEC-approved supervisor with a PhD in the characterization of materials for memory storage and neuromorphic applications using DFT. He has published over 30 high-impact international research articles and currently leads research at the Materials Modeling and Simulation Lab, where he supervises MPhil and PhD students. His group is actively involved in developing efficient double perovskites for solar cell applications. In addition to his academic and research roles, Dr. Khera contributes to departmental administrative functions and has participated in multiple international conferences in physics and materials science. He is proficient in VASP, Wien2k, CASTEP, and other computational tools, reflecting his strong background in computational materials physics.

Profile

Education 🎓

Dr. Khera earned his PhD in Physics from The Islamia University of Bahawalpur (2016–2021), focusing on DFT-based characterization of materials for neuromorphic and memory applications. He holds an MPhil in Physics from Allama Iqbal Open University, Islamabad (2012–2014), and a Master of Science in Physics from Bahauddin Zakariya University, Multan (2007–2010). His academic foundation combines theoretical physics, computational modeling, and practical understanding of solid-state and condensed matter systems. He is trained in multiple simulation platforms including VASP, Wein2k, and CASTEP, and has built expertise in data analysis software like Origin and visualization tools like VESTA and Crystal Maker. His solid academic training has enabled him to mentor graduate students in computational material science and renewable energy research domains. Dr. Khera has also enhanced his academic exposure through participation in pedagogical and research methodology training programs.

Experience 👨‍🏫

Dr. Khera is currently serving as Assistant Professor of Physics at The Islamia University of Bahawalpur since March 2022, where he teaches undergraduate and postgraduate courses, leads research, and manages academic administration. From 2019 to 2021, he was a visiting lecturer at University of Education, Multan Campus, and previously taught physics at Admire Group of Colleges (2017–2021), Muslim Group of Colleges (2013–2017), and Educators Group of Colleges (2011–2013), focusing on undergraduate and higher secondary education. Over a decade of teaching experience has honed his expertise in delivering core physics concepts and mentoring students. In his academic tenure, Dr. Khera has also built research collaborations and guided MPhil and PhD students in materials modeling. His responsibilities have included curriculum design, academic planning, and seminar coordination. He is deeply engaged in academic development through active participation in physics conferences and workshops.

Awards & Recognitions 🏅

Dr. Khera received the Prime Minister Youth Laptop Scheme award from the Federal Government of Pakistan in 2018, recognizing his academic excellence and contribution to higher education. He was also granted the Punjab Government Scholarship under the Fee Reimbursement Scheme for Higher Education in 2017, awarded by the Government of Punjab. These honors reflect his academic merit, commitment to research, and service in the field of physics education. He has participated in multiple international and national-level conferences, including events hosted by The Islamia University of Bahawalpur and The Women University Multan. His consistent performance in academics and his role in teaching and research supervision have earned him institutional recognition. Additionally, his HEC-approved supervisor status further signifies his qualification and leadership in guiding advanced research projects in Pakistan. These accolades support his active involvement in national education development and scientific advancement in materials science.

Research Interests 🔬

Dr. Khera’s research is centered on computational materials science with a focus on density functional theory (DFT)-based investigations of electronic, optical, thermoelectric, and structural properties of novel materials. His primary interest lies in characterizing double perovskites (DPs), Heusler alloys, and vacancy-ordered compounds for use in solar cells, memory storage, brain-inspired neuromorphic systems, and energy harvesting applications. Using simulation tools like VASP, CASTEP, and Wien2k, he studies materials such as Ga₂PtX₆, Li₂ATlCl₆, and Na₂PtX₆ for their optoelectronic and thermoelectric performance. His recent publications explore halogen modification, spin polarization, and hybrid perovskites for sustainable technologies. His research group actively contributes to discovering lead-free, high-efficiency materials that align with global goals for clean and renewable energy. Dr. Khera also collaborates internationally, co-authoring papers with scientists across Asia and Europe, thereby advancing the field of computational physics and sustainable material development.

Publications

 

  • Probing the opto-electronic, thermoelectric, thermodynamic and elastic responses
    of lead-free double perovskite Li2ATlCl6 (A= Na and K) for potential photovoltaic
    and high-energy applications: A DFT study
    Reference: Qiguo Xiao, Abrar Nazir, Ejaz Ahmad Khera, Mumtaz Manzoor, Ramesh
    Sharma, Javed Rahman, Sabah Ansar, Farooq Ali
    Link: https://www.sciencedirect.com/science/article/pii/S0921510724006895

 

  • First principles investigation of structural, electronic, optical, transport properties
    of double perovskites X2TaTbO6 (X= Ca, Sr, Ba) for optoelectronic and energy
    harvesting applications
    Reference: Mudassir Ishfaq, Muniba Urooj, Muhammad Sajid, Khawar Ismail, Rimsha
    Baqeel, Ejaz Ahmad Khera, Rajwali Khan, Sattam Al Otaibi, Khaled Althubeiti, Hassan Ali,
    Ghulam Murtaza, Muhammad Jamil
    Link: https://www.sciencedirect.com/science/article/pii/S0022369724005675