Dr. Yanan Sun | In memory computing | Best Researcher Award

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Dr. Yanan Sun | In Memory Computing | Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Y. Sun earned his Ph.D. in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (2015) and his B.S. in Microelectronics from Shanghai Jiao Tong University (2009). He is currently an Associate Professor of Electrical Engineering at Shanghai Jiao Tong University, where he previously served as Assistant Professor. His research focuses on in-memory computing, energy-efficient digital integrated circuits, neuromorphic computing, and AI hardware acceleration. He has published extensively in top-tier journals such as IEEE TCAS-I, TCAD, JSSC, TED, and TGRS, and at leading conferences including DAC, ICCAD, DATE, ISSCC, and ISCAS, with several works nominated for or receiving Best Paper Awards. Notably, he received the First Place Best Paper Award at the IEEE International Conference on Microelectronics (2014) and Best Paper Award nominations at DATE (2020) and ICTA (2023). His impactful contributions span monolithic 3D memory, ReRAM-based neural network acceleration, metastability mitigation in SoCs, and computing-in-memory architectures, demonstrating strong expertise at the intersection of circuit design, architectures, and AI acceleration.

Profile:  Scopus | Google Scholar | ORCID

Featured Publications

"Robust Monolithic 3D Carbon-Based Computing-in-SRAM with Variation-Aware Bit-Wise Data-Mapping for High-Performance and Integration Density"

"HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension"

"Hop-CIM: An all-digital two-level approximate SRAM-CIM macro for high energy-efficient HNN acceleration with data-aware early exit and column-wise partial-sum reuse"

"A Metastability Risk Prediction and Mitigation Technique for Clock-Domain Crossing with Single-Stage Synchronizer in Near-Threshold-Voltage Millivoltage/ Frequency-Domain Network-on-Chip"

"Enabling Low-Power Charge-Domain Nonvolatile Computing-in-Memory (CIM) with Ferroelectric Memcapacitor"

Liang Hua | Computational Methods | Innovative Research Award

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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.

Rui Zu | Computational Methods | Best Researcher Award

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Dr Rui Zu | Computational Methods | Best Researcher Award

Research Assistant , Penn State University | United States

Dr. Rui Zu is an accomplished materials scientist and optical physicist whose research spans advanced optical simulations, nonlinear optics, ferroelectric materials, and quantum-enabled devices. With a strong academic foundation from Pennsylvania State University, Columbia University, and the University of Science and Technology Beijing, he has emerged as a prominent voice in the field of complex material systems and optoelectronic engineering.

👨‍🎓Profile

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📚 Early Academic Pursuits

Dr. Zu began his academic journey at the University of Science and Technology, Beijing, earning his B.E. in Materials Physics in 2016. He then pursued a Master’s degree in Materials Science and Engineering at Columbia University, where he honed his skills in atomic-layer fabrication and microscopy. Building upon this, he earned his Ph.D. from Penn State University in 2023, where he developed novel methodologies and optical models to explore the physics of nonlinear optical responses in crystalline heterostructures.

🏢 Professional Endeavors

Following his doctoral studies, Dr. Zu joined 3M’s Display and Electronics Product Platform as a Research Engineer, where he leads efforts in optical design for display technologies, focusing on anti-glare and anti-sparkle solutions for self-emissive and near-eye displays. His work integrates advanced multi-scale simulation methods (FDTD, TMM, Fourier optics, ray tracing) with system-level optical prototyping, pushing the envelope in next-generation display performance.

🔬 Contributions and Research Focus

Dr. Zu’s work is distinguished by its depth and innovation in nonlinear optical simulation, ferroelectric materials engineering, and optical metrology. His flagship contribution is the development of the ♯SHAARP (Second Harmonic Analysis of Anisotropic Rotational Polarimetry) Mathematica-based package a pioneering simulation toolkit that addresses complex optical challenges including anisotropy, low symmetry, absorption, and dispersion in multilayer systems. He has also engineered sub-micrometer ferroelectric domain gratings and explored high-entropy materials, enabling ultraviolet harmonic generation, magneto-optical imaging, and strain-tunable photonic devices.

🌍 Impact and Influence

Dr. Zu’s research has led to publications in top-tier journals such as Science Advances, Nature Communications, PNAS, and Physical Review B, reflecting the high impact and interdisciplinary relevance of his work. His contributions have reshaped the understanding of optoelectronic behavior in correlated systems, and he continues to push forward the boundaries of materials design and characterization through collaborative research and open-source tools.

📊 Academic Citations

With a growing number of peer-reviewed publications many of which are co-authored with leaders in the field including L.-Q. Chen, V. Gopalan, and A. M. Lindenberg Dr. Zu’s work is frequently cited in domains ranging from computational photonics to solid-state physics, indicating his role as a rising authority in the study of nonlinear optical phenomena and ferroelectric materials.

🛠️ Research Skills

Dr. Zu possesses a formidable toolkit of research competencies, including:

  • Optical Simulation: FDTD, RCWA, TMM, ray tracing, Fourier-based wave propagation

  • Optical System Development: Nonlinear spectroscopy, ultrafast pump-probe, MOKE

  • Instrumentation: SEM, TEM, AFM, PFM, FTIR, Raman, Photoluminescence

  • Software and Programming: Mathematica (SHAARP), COMSOL, LabView

  • Advanced Materials Fabrication and Characterization: High-entropy materials, ferroelectrics

👨‍🏫 Teaching & Mentorship Experience

Dr. Zu has demonstrated a strong commitment to teaching and mentorship, having served as a Teaching Assistant for courses such as Crystal Anisotropy and Solid State Physics. He developed Mathematica-based modules that significantly enriched classroom engagement. Beyond formal coursework, he has mentored undergraduate researchers, including REU students, many of whom advanced to present at conferences or publish collaboratively. As a Lab Safety Officer, he also ensured the group’s operational continuity during the COVID-19 pandemic.

🏆 Awards and Honors

Dr. Zu’s excellence has been recognized with numerous awards, including:

  • 🎓 Alumni Association Dissertation Award, Penn State University (2023)

  • ✈️ Department Travel Award for Graduate Students, Penn State (2023)

  • 🏅 Renmin Principal Level Scholarship, USTB (2013)

  • 🌟 Merits Student Awards, USTB (2013, 2014)

🚀 Legacy and Future Contributions

As an innovator in optical and material physics, Dr. Rui Zu’s trajectory continues to rise. His work bridges fundamental science and industrial application, from quantum-inspired simulationsquantum-inspired simulations to real-world display technologies. With tools like SHAARP gaining traction in the research community and his growing influence in interdisciplinary materials science, Dr. Zu is poised to become a thought leader in photonics, materials design, and computational optics. His legacy will likely be defined by a continued push toward open scientific tools, educational outreach, and cross-sector impact.

Top Noted Publications

Thermodynamic theory of linear optical and electro-optical properties of ferroelectrics

  • Authors: Ross, A., Ali, M. S. M. M., Saha, A., Zu, R., Gopalan, V., Dabo, I., Chen, L.-Q.

  • Journal: Physical Review B

  • Year: 2025

Hidden domain boundary dynamics toward crystalline perfection

  • Authors: Mangu, A., Stoica, V. A., Zheng, H., Yang, T., Zhang, M., Wang, H. (Hugo), Zu, R., Nguyen, Q. L., Song, S., Das, S., Meisenheimer, P., Donoway, E., Chollet, M., Sun, Y., Turner, J. J., Freeland, J. W., Wen, H., Martin, L. W., Chen, L.-Q., Gopalan, V., Zhu, D., Cao, Y., Lindenberg, A. M.

  • Journal: Proceedings of the National Academy of Sciences (PNAS)

  • Year: 2025

Bulk photovoltaic effect and high mobility in the polar 2D semiconductor SnP₂Se₆

  • Authors: Sangwan, V. K., Chica, D. G., Chu, T.-C., Cheng, M., Quintero, M. A., Hao, S., Mead, C. E., Choi, H., Zu, R., Sheoran, J., He, J., Liu, Y., Qian, E., Laing, C. C., Kang, M.-A., Gopalan, V., Wolverton, C., Dravid, V. P., Lauhon, L. J., Hersam, M. C., Kanatzidis, M. G.

  • Journal: Science Advances

  • Year: 2024

Optical second harmonic generation in anisotropic multilayers with complete multireflection of linear and nonlinear waves using SHAARP.ml package

  • Authors: Zu, R., Wang, B., He, J., Weber, L., Saha, A., Chen, L.-Q., Gopalan, V.

  • Journal: NPJ Computational Materials

  • Year: 2024

Perspectives and progress on wurtzite ferroelectrics: Synthesis, characterization, theory, and device applications

  • Authors: Casamento, J., Baksa, S. M., Behrendt, D., Calderon, S., Goodling, D., Hayden, J., He, F., Jacques, L., Lee, S. H., Smith, W., Suceava, A., Tran, Q., Zheng, X., Zu, R., Beechem, T., Dabo, I., Dickey, E. C., Esteves, G., Gopalan, V., Henry, M. D., Ihlefeld, J. F., Jackson, T. N., Kalinin, S. V., Kelley, K. P., Liu, Y., Rappe, A. M., Redwing, J., Trolier-McKinstry, S., Maria, J.-P.

  • Journal: Applied Physics Letters

  • Year: 2024

Berthelot Saïd Duvalier Ramlina Vamhindi | Computational Methods | Best Faculty Award

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Dr. Berthelot Saïd Duvalier Ramlina Vamhindi | Computational Methods | Best Faculty Award

University of Maroua | Cameroon

Berthelot Saïd Duvalier Ramlina Vamhindi is an accomplished researcher with expertise in chemical physics, astrophysics, and molecular dynamics. With an active academic presence, he has made significant contributions in the fields of polymer research, quantum chemistry, and biomolecular structure. His dedication to scientific advancement is evident through his robust publication record and his focus on nonlinear optical applications and theoretical modeling.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Vamhindi’s academic journey began with a focus on quantum chemistry and astrophysics, where he developed a keen interest in studying the fundamental molecular structures and interactions that govern both chemical reactions and material properties. His curiosity in these domains laid the foundation for his interdisciplinary research, bridging chemical physics with practical applications in pharmaceuticals and polymer science.

Professional Endeavors 💼

Since entering academia, Vamhindi has focused his research on various advanced topics such as nonlinear optical applications, molecular dynamics simulations, and the spectroscopic analysis of organic molecules. His work spans theoretical investigations into dielectric properties and hydrophobic polymers, as well as real-world applications such as drug design for Alzheimer’s and other diseases. His involvement in molecular modeling and ab initio methods showcases his expertise in computational chemistry.

Contributions and Research Focus 🔬

Vamhindi’s research contributions are centered around the electronic structure and spectroscopic properties of complex molecular systems. His most recent work focuses on the hydrophobic properties of nylon 6-phenol resin blends, as well as the investigation of nonlinear optical applications of indole-3-pyruvic acid. His research in polymer blends has significant implications for dielectric applications, while his work on molecular docking contributes to the design of Alzheimer’s drugs.

Impact and Influence 🌍

Vamhindi has made a notable impact within his field with over 70 citations, demonstrating the relevance and importance of his research. His work on quantum chemical investigations and nonlinear optical materials has provided new insights into the behavior and potential of materials used in optoelectronic and pharmaceutical applications. His high-quality contributions, published in renowned journals such as Journal of Polymer Research and Journal of Biomolecular Structure and Dynamics, have garnered recognition and citations in the scientific community.

Academic Cites 📈

With a total of 9 publications and a sum of times cited reaching 69 (as of September 2024), Vamhindi’s research has demonstrated consistent influence in fields such as polymer science, molecular modeling, and quantum chemistry. His H-index of 4 in recent years and 5 in the full publication timeline signifies that his work is increasingly cited and regarded by fellow researchers in his areas of expertise.

Research Skills ⚙️

Vamhindi is proficient in utilizing DFT (Density Functional Theory) and ab initio methods to model and simulate molecular behaviors. His expertise in molecular dynamics and quantum chemical simulations allows for the prediction of nonlinear optical properties and the electronic structure of complex molecules. Additionally, he employs molecular docking techniques to explore drug-receptor interactions, demonstrating his multidisciplinary approach.

Legacy and Future Contributions 🔮

Berthelot Saïd Duvalier Ramlina Vamhindi is poised to leave a lasting impact in the fields of quantum chemistry and nonlinear optics. His continued focus on drug design, material properties, and molecular modeling is likely to drive further innovations in pharmaceuticals and optoelectronics. As his research expands, Vamhindi’s legacy will likely center around the interdisciplinary approach that merges theoretical chemistry with practical, real-world applications, improving both healthcare and technology.

Publications Top Notes

Electronic structure, spectroscopic constants, and transition properties of NaC₀⁺¹/⁻¹ diatomic species: An ab initio investigation
  • Authors: Gouromsa, Y.H., Ramlina Vamhindi, B.S.D., Nsangou, M.
    Journal: Journal of Quantitative Spectroscopy and Radiative Transfer
    Year: 2025
Pressure action on ductility and optoelectronic properties of non-toxic AGeBr₃ (A = Cs, K, Na, Rb) perovskites
  • uthors: Vamhindi, B.S.D.R., Abavare, E.K.K.
    Journal: Solid State Communications
    Year: 2024
Preparation of hydrophobic nylon 6-phenol resin derivative polymer blends for the dielectric application and theoretical evaluation of their hydrophobic property
  • Authors: Vedamurthy, T., Lai, C.H., Vamhindi, B.S.D.R.
    Journal: Journal of Polymer Research
    Year: 2023
Spectroscopic, quantum chemical, molecular docking, and molecular dynamics investigations of hydroxylic indole-3-pyruvic acid: a potent candidate for nonlinear optical applications and Alzheimer’s drug
  • Authors: Koyambo-Konzapa, S.-J., Mbesse Kongbonga, G.Y., Nsangou, M., Franklin Benial, A.M., R, P.
    Journal: Journal of Biomolecular Structure and Dynamics
    Year: 2022
How strongly do Janus all-cis C₆H₆F₆ and C₆H₆Cl₆ bind ions in the gas-phase?
  • Authors: Ramlina Vamhindi, B.S.D., Lai, C.-H., Koyambo-Konzapa, S.-J., Nsangou, M.
    Journal: Journal of Fluorine Chemistry
    Year: 2020

 

David Fouejio | Computational Methods | Best Researcher Award

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Prof. David Fouejio | Computational Methods | Best Researcher Award

University of Yaounde I | Cameroon

Pr. David Fouejio is an esteemed academic and researcher currently serving at the Mechanic, Materials, and Complex Structures Laboratory at the University of Yaoundé I, Cameroon. With his extensive expertise in material science, optoelectronics, and nanotechnology, Pr. Fouejio has made significant strides in researching the electronic, optical, and thermodynamic properties of a wide range of materials. His work, which spans organic molecules, pharmaceuticals, and nanomaterials, positions him as a leading figure in his field.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Pr. Fouejio’s journey began in the field of physics, where he laid the foundation for his future academic and research career. He pursued a robust academic path with an emphasis on material characterization, optical materials, and photonics. His early academic years prepared him well for his current research, and his diverse interests reflect his foundational knowledge in both basic physics and cutting-edge technology.

Professional Endeavors 💼

Pr. Fouejio’s research career spans several complex topics including electronic and optoelectronic properties, pharmaceutical applications of nanomaterials, and magnetic properties of materials. He has contributed to advancements in the targeted drug delivery system, specifically through the functionalization of Dihydroartemisinin (DHA) on C60 fullerene or carbon nanotubes (CNT). This area of work highlights his focus on solving real-world healthcare challenges through material science. Furthermore, Pr. Fouejio has explored optical materials used in photochromic polymers, demonstrating his ability to bridge theoretical and applied physics.

Contributions and Research Focus 🔬

Pr. Fouejio’s research spans diverse yet complementary fields such as electrical, optical, optoelectronic, and magnetic properties of materials. His study of photochromic polymers and methyl methacrylate showcases his expertise in nonlinear optical properties. His work on frustration in antiferromagnetic materials and the magnetic properties of Ising ferrimagnets has further solidified his reputation in the condensed matter physics domain. Through his ab initio and DFT calculations, Pr. Fouejio is contributing to the nanotechnology field and pharmaceutical applications.

Impact and Influence 🌍

Pr. Fouejio’s contributions to optical materials and nanotechnology have far-reaching applications, especially in healthcare and photonics. His work on drug delivery systems and materials for optoelectronic devices is advancing the potential for novel therapeutics and innovative technologies. As a referee for high-profile journals, his influence in the academic community has allowed him to shape the direction of research in material characterization and optical materials.

Academic Cites 📈

With 13 published papers, Pr. Fouejio’s work has been recognized and cited by peers globally. His research on optical properties of organic molecules and nanomaterials is particularly notable in the fields of nanotechnology and photonics. His ability to make cross-disciplinary connections is reflected in his growing citation record. Each of his works contributes to a broader scientific dialogue with global impact.

Research Skills 🧠

Pr. Fouejio possesses a versatile skill set in computational methods such as Monte Carlo simulations, ab initio calculations, and DFT simulations. His hands-on expertise in material characterization and his theoretical approach make him an authority in optoelectronics. His research has also extended to pharmaceutical applications and healthcare innovations, where his computational techniques have furthered the understanding of drug delivery systems and nanomaterials.

Teaching Experience 👨‍🏫

As a faculty member in the Department of Physics, Pr. Fouejio has shared his expertise with the next generation of scientists and engineers. His teaching focuses on the fundamentals of physics, material science, and nanotechnology, equipping students with the tools necessary for careers in academia and industry. Through his mentoring, students are not only exposed to theoretical knowledge but also to practical aspects of material characterization and computational modeling.

Legacy and Future Contributions 🌱

Pr. Fouejio’s research continues to shape the future of material science with a focus on nanotechnology and drug delivery systems. As he progresses in his career, the potential for Pr. Fouejio to lead groundbreaking work in optical materials, photonics, and pharmaceutical applications is immense. His continued exploration into nanotechnology and its potential for medical advancements will undoubtedly leave a lasting legacy in the scientific community.

Publications Top Notes

Magnetic and thermodynamic properties of mixed spin-3/2 and spin-3 Ising ferrimagnets on a 2D triangular lattice: Monte Carlo study
  • Authors: D. Fouejio, P. Noudem, S.S. Zekeng
    Journal: Chinese Journal of Physics
    Year: 2024
Electronic, nonlinear optical, UV–vis and NBO analysis of methyl methacrylate for optoelectronic and optical applications: DFT study and impact of conformation
  • Authors: P. Noudem, D. Fouejio, C.D.D. Mveme, F. Tchangnwa Nya, S.S. Zekeng
    Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
    Year: 2023
Structural, electronic and nonlinear optical properties, reactivity and solubility of the drug dihydroartemisinin functionalized on the carbon nanotube
  • Authors: D. Fouejio, Y. Tadjouteu Assatse, R.A. Yossa Kamsi, G.W. Ejuh, J.M.B. Ndjaka
    Journal: Heliyon
    Year: 2023
Impact of doping on the optoelectronic, electronic and nonlinear optical properties and on the reactivity of photochromic polymers containing styrylquinoline fragments: Hartree-Fock and DFT study
  • Authors: P. Noudem, D. Fouejio, C.D.D. Mveme, S.S. Zekeng, J.B. Fankam Fankam
    Journal: Heliyon
    Year: 2022
Hartree-Fock and DFT studies of the optoelectronic, thermodynamic, structural and nonlinear optical properties of photochromic polymers containing styrylquinoline fragments
  • Authors: P. Noudem, D. Fouejio, C.D.D. Mveme, S.S. Zekeng, F. Tchangnwa Nya, G.W. Ejuh
    Journal: Materials Chemistry and Physics
    Year: 2022

 

 

 

Fatima Thabit | Computational Methods | Women Researcher Award

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Ms. Fatima Thabit | Computational Methods | Women Researcher Award

Sana’a University | Yemen

Fatima Mohammed Saeed Thabit is an esteemed Instructor in Physics at Sana’a University, Yemen. With an academic career dedicated to advancing theoretical physics, she has made notable contributions to optics and nano-physics. Fatima’s research and expertise are built on her academic background, which includes a Master’s degree in Theoretical Physics and ongoing PhD studies in the same field.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Fatima’s journey into the world of physics began with her Bachelor’s degree in Physics with a minor in Mathematics from Sana’a University in 2006. She furthered her education with a Master’s degree in Theoretical Physics in 2016, positioning herself as an emerging expert in the field. Currently, she is pursuing her PhD in Theoretical Physics, exploring the depths of this complex and dynamic domain.

Professional Endeavors 💼

As an instructor at Sana’a University, Fatima plays an integral role in shaping the future of aspiring physicists. Her responsibilities include training students, developing practical skills, and teaching a wide array of physics courses, such as electrical circuit analysis, medical physics, and programming. Fatima’s teaching approach fosters an understanding of both theoretical concepts and hands-on experimentation.

Contributions and Research Focus 🔬

Fatima’s research has focused primarily on optics, particularly on beam propagation, optical trapping, and nano-physics. Some of her most notable work involves the study of optical forces exerted on nanodielectric spheres, as well as the behavior of Laguerre-Gaussian beams and Hermite Gaussian beams. Her work has been published in prestigious journals such as the Journal of the Optical Society of America and Applied Optics.

Impact and Influence 🌍

Fatima’s contributions extend beyond academic publications. she has also served as Secretary-editor for the Journal of Sana’a University for Applied Sciences and Technology, playing a pivotal role in supporting the publication process and furthering the academic community’s growth. Through her work, she continues to inspire fellow researchers and students, particularly women in physics, to pursue excellence in science.

Academic Cites 📚

Fatima’s research has garnered recognition and citations from global scholars. Her studies on optical trapping forces and Gaussian beams have helped advance nano-optics and photonics, and her research papers are frequently referenced in scientific circles, including well-regarded journals like J. Opt. Soc. Am. A, Phys. Scr., and Results in Physics.

Research Skills 🧠

With proficiency in advanced tools such as MATLAB, Mathematica, and LaTeX, Fatima demonstrates an outstanding capability in computational modeling, simulation, and data analysis. Her use of cutting-edge research techniques allows her to probe deeper into the theoretical aspects of optics, nanophysics, and photonics, making significant strides in applied research.

Teaching Experience 👩‍🏫

Fatima’s diverse teaching experience includes guiding students through complex theoretical and practical courses in physics and programming. She has taught students in courses ranging from electrical circuits to medical physics, all while maintaining a high standard of education and encouraging students to engage with both practical experiments and theoretical discussions. Fatima also prepares and evaluates practical exams that ensure students gain a comprehensive understanding of key scientific concepts.

Legacy and Future Contributions 🌱

Looking forward, Fatima’s future contributions to theoretical physics and optics are bound to leave a lasting legacy. As she advances in her PhD research, her work will likely inspire future breakthroughs in nanotechnology and photonics, while her teaching will continue to shape the next generation of physicists. Fatima’s growing involvement in artificial intelligence and cutting-edge research methods positions her as a prominent figure in the field.

Publications Top Notes

Calculation of the optical forces exerted on a nano-dielectric sphere induced by a pulsed Laguerre–Gaussian beam
  • Authors: MA Shukri, FM Thabit
    Journal: JOSA A
    Year: 2023
Calculation of trapping optical forces induced by a focused continuous Hermite Gaussian beam on a nano-dielectric spherical particle
  • Authors: MA Shukri, FM Thabit
    Journal: Physica Scripta
    Year: 2024
Propagation of fully and partially coherent flat-topped multi-Gaussian beams through axicons
  • Authors: FM Thabit, AA AlKelly, MA Shukri
    Journal: JOSA A
    Year: 2020
Impact of Gaussian Beam Spot Size on Trapping Forces: Continuous versus Pulsed Beams
  • Authors: M Shukri, F Thabit
    Journal: Sana’a University Journal of Applied Sciences and Technology
    Year: 2024
Trapping of low and high refractive index nano-spherical particles by using a highly focused Laguerre–Gaussian beam
  • Authors: FM Thabit, MA Shukri
    Journal: Applied Optics
    Year: 2024

 

 

Muhammad Zulfiqar | Computational Methods | Best Researcher Award

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Prof. Dr. Muhammad Zulfiqar | Computational Methods | Best Researcher Award

University of Sargodha | Pakistan

Dr. Muhammad Zulfiqar is an accomplished physicist specializing in solid-state physics, computational physics, and condensed matter theory. He completed his Ph.D. at Tsinghua University (2014-2019) in the People’s Republic of China, where he focused on tunable conductive and magnetic properties in the doped two-dimensional Platinum Diselenide. Throughout his academic journey, Dr. Zulfiqar has made significant contributions to various fields of materials science, thermodynamics, and quantum transport phenomena. He holds several advanced degrees, including M.Phil. from University of Sargodha and M.Sc. from the University of Punjab, both with first-class distinctions.

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Early Academic Pursuits 🎓

Dr. Zulfiqar’s academic journey began with a B.Sc. in Physics and Mathematics at Government College Sargodha, followed by an M.Sc. in Physics from the University of Punjab, where he graduated with first-class honors. His early academic pursuits laid the groundwork for his specialization in condensed matter physics. Driven by his passion for advanced theoretical and computational methods, he continued his academic path, earning his M.Phil. in Physics from the University of Sargodha, once again graduating with first-class recognition. His Ph.D. from Tsinghua University propelled him into the world of cutting-edge research in physics, where he focused on understanding the complex behaviors of low-dimensional materials.

Professional Endeavors 🔬

Dr. Zulfiqar’s professional career is marked by his impressive work in computational physics and his deep engagement with numerical simulations. He has been involved in numerous collaborative projects funded by prestigious bodies such as the Chinese Government and the National Natural Science Foundation of China. His work has extended into exploring electron transport and phonon transport phenomena at the nanoscale. These investigations have led to groundbreaking research into superconductivity in low-dimensional materials and the optimization of solar cell architectures for renewable energy applications.

Contributions and Research Focus 🧑‍🔬

Dr. Zulfiqar’s research has had a profound impact on the study of magnetism in solids and the development of new materials for energy applications. He has extensively studied optical and thermoelectric properties of perovskite compounds, aiming to enhance renewable energy sources. His research also extends to superconductivity and quantum transport phenomena, which are crucial for the development of future electronic devices. Through his innovative research, he explores the mechanical stability and thermal properties of materials like La2Sn2O7 and Ba-based double perovskites, which have significant implications in the fields of photovoltaics and energy harvesting.

Impact and Influence 🌍

Dr. Zulfiqar has made transformative contributions to the fields of condensed matter theory, thermodynamics, and computational physics. His work is highly influential in advancing the understanding of low-dimensional materials, which are at the forefront of modern nanoelectronics and quantum computing. His publications in prestigious journals have helped shape the discourse around energy-efficient devices and nanostructured materials. Through his research, he has provided valuable insights into phonon and electron transport, which are crucial for improving thermoelectric efficiency and designing smart energy systems.

Academic Citations 📚

Dr. Zulfiqar has published 50 research articles in renowned ISI-JCR indexed journals, reflecting his high productivity and the quality of his work. His research is widely cited, making him a significant figure in the field of solid-state physics and material science. The breadth and impact of his publications, including works on thermoelectric properties and solar cell simulations, highlight his prominent position in the academic community.

Research Skills 💻

Dr. Zulfiqar possesses advanced expertise in a range of simulation tools and computational methods. His proficiency in VASP, Quantum Espresso, CASTEP, and other ab-initio codes allows him to model complex quantum phenomena in materials at the atomic level. He is also skilled in Molecular Dynamics simulations, as well as tools like Phonopy, ShengBTE, and Material Studio, enabling him to carry out detailed studies on thermal transport and device simulations. His command over these cutting-edge tools enables him to perform high-level research and provide deep insights into the physical properties of materials.

Teaching Experience 👨‍🏫

Dr. Zulfiqar has contributed to the academic community not only through his research but also through teaching and mentoring the next generation of physicists. While his primary focus has been on research, he has likely been involved in educating and guiding students in computational physics and materials science. His expertise in solid-state physics and thermodynamics positions him as a knowledgeable educator capable of inspiring students in these complex fields.

Awards and Honors 🏆

Dr. Zulfiqar has received numerous awards and scholarships throughout his career, including the prestigious Chinese Government PhD Fellowship and research grants from the National Natural Science Foundation of China. These honors recognize his exceptional contributions to the field of physics and his ongoing pursuit of innovative research in material science, thermoelectrics, and energy applications. These recognitions are a testament to his hard work and significant impact on the scientific community.

Legacy and Future Contributions 🌟

Dr. Zulfiqar’s legacy in solid-state physics and material science is one of excellence and innovation. His contributions to the study of magnetic properties, superconductivity, and energy-efficient materials will continue to shape the future of energy technologies and nanoelectronics. As he moves forward in his career, his research will likely pave the way for the development of cutting-edge devices and advanced materials for applications in renewable energy, quantum computing, and spintronic devices. With his growing influence, Dr. Zulfiqar’s work will continue to inspire the next generation of scientists and engineers working on advanced materials and energy solutions.

Publications Top Notes

Exploring mechanically stable Ba-based double Perovskite oxides for renewable energy: Optoelectronic and thermoelectric properties investigation
  • Authors: Muhammad Fiaz, Fahim Ahmed, Hussein Alrobei, Muhammad Faizan, Shafaat Hussain Mirza, Muhammad Zulfiqar
    Journal: Materials Science in Semiconductor Processing
    Year: 2025
Full solar spectrum energy harvesting with CuInSe2 based photovoltaic cell: Device simulation and impedance spectroscopy analysis
  • Authors: Khalid Riaz, Nargis Bano, Rizwan Ul Hassan, Muhammad Zulfiqar
    Journal: Optics Communications
    Year: 2025
Search for Efficient Absorber Materials from A2B Binary Compounds: A Comprehensive Computational Modeling Approach
  • Authors: Arslan Zulfiqar, Khalid Riaz, Muhammad Zulfiqar, Saif M. H. Qaid, Bandar Ali Al-Asbahi, Muhammad Saqib Arslan, Muhammad Usman, Suming Zeng
    Journal: ACS Applied Electronic Materials
    Year: 2025
Exploring the dopant effects on the structural, magnetic, optoelectronic, and thermoelectric properties of Ba2CaMoO6: A detailed Ab-initio investigation
  • Authors: Muhammad Faizan, Nargis Bano, Muhammad Zulfiqar, Imran Hussain, Shafaat Hussain Mirza, Jun Ni
    Journal: Materials Science in Semiconductor Processing
    Year: 2024
Investigating the impact of band gap engineering on optoelectronic properties of tetragonal MgZrN2 compound: A first principles study
  • Authors: Muhammad Saqib Arslan, A. Alqahtani, Arslan Zulfiqar, Muhammad Zulfiqar
    Journal: Journal of Solid State Chemistry
    Year: 2024

 

Johannes Krotz | Computational Methods | Best Researcher Award

Published on by High Energy Physics

Dr. Johannes Krotz | Computational Methods | Best Researcher Award

Postdoctoral Fellow at Notre Dame, United States

👨‍🎓 Profiles

🌟Summary

👨‍🎓 PhD candidate in Mathematics with a minor in Computer Science, specializing in probabilistic and data-driven methods for numerical PDEs and hybrid Monte Carlo methods for complex systems simulations. Experienced in statistical modeling, computational physics, and advanced simulations with a strong background in teaching and academic leadership. Currently working as a Postdoctoral Researcher at the University of Notre Dame.

🎓 Education

🎓 PhD in Mathematics (Minor in CS)
University of Tennessee Knoxville, 2021–2024

  • Dissertation on Probabilistic & Data-Driven Methods in Numerical PDEs
  • GPA: 4.0

📊 M.Sc. in Statistics
University of Tennessee, 2022–2024

  • GPA: 3.9

📚 M.Sc. in Mathematics
Oregon State University, 2019–2021

  • GPA: 4.0

⚛️ M.Sc. in Physics
University of Konstanz, 2015–2019

  • GPA: 4.0 (Honors)

🔢 B.Sc. in Mathematics & Physics
University of Konstanz, 2012–2018

  • GPA: 3.5 (Mathematics), 3.3 (Physics)

💼 Professional Experience

🔬 Postdoctoral Researcher
University of Notre Dame, 2024–Present

  • Research on hybrid Monte Carlo & deterministic kinetic transport algorithms for exascale simulations in neutron transport.

🧑‍💻 Graduate Research Assistant (GRA)
University of Tennessee/ORNL, 2023–2024

  • Advancing dynamic likelihood filters for stochastic advection-diffusion equations in collaboration with ORNL and UTK.

💼 Research Intern
Oak Ridge National Lab (ORNL), 2021–2022

  • Developed hybrid algorithms for simulating complex particle systems in 2D & 3D.

🌍 Research Intern
Los Alamos National Lab (LANL), 2020

  • Focus on high-fidelity discrete fracture networks and Poisson-disk sampling algorithms for triangulations.

🔬 Research Interests

  • 🧠 Computational Mathematics: Hybrid Monte Carlo methods, kinetic transport equations, and numerical simulations for complex physical systems.
  • 🔍 Stochastic Processes: Advanced data-driven filtering techniques and applications in fluid dynamics, advection-diffusion, and PDEs.
  • 💻 Statistical Modeling: Development of methods for high-dimensional data and stochastic modeling.
  • 🌐 Interdisciplinary Work: Collaborating across fields of mathematics, physics, and engineering to tackle real-world computational challenges.

🏆 Awards

  • 1st & 3rd place at the UTK SIAM Research Showcase (2023, 2024)
  • Randall E. Cline Award (2022) for research excellence

🖥 Technical Skills

  • Python, C++, R, Matlab, LATEX, and more
  • Basic Fortran, AWK

🔗 Professional Memberships

  • SIAM, AWM, AAAS, UCW

 Publications

A Hybrid Monte Carlo, Discontinuous Galerkin Method for Linear Kinetic Transport Equations

  • Authors: Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
  • Journal: Journal of Computational Physics, Vol. 514
  • Year: 2024
Variable Resolution Poisson-Disk Sampling for Meshing Discrete Fracture Networks
  • Authors: Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
  • Journal: Journal of Computational and Applied Mathematics, Vol. 407
  • Year: 2022
Dynamic Likelihood Filters for Advection Diffusion Equations
  • Authors: Johannes Krotz, Jorge M. Ramires, Juan M. Restrepo
  • Journal: The Monthly Weather Review
  • Year: Under review
Minimizing Effects of the Kalman Gain on Posterior Covariance Eigenvalues, the Characteristic Polynomial and Symmetric Polynomials of Eigenvalues
  • Authors: Johannes Krotz
  • Journal: Arxiv (preprint)
  • Year: 2024

 

 

 

Fekadu Muleta | Computational Methods | Editorial Board Member

Published on by High Energy Physics

Assist. Prof. Dr. Fekadu Muleta | Computational Methods | Editorial Board Member

Assistant professor (PhD) at Wolaita Sodo university, Ethiopia

Dr. Fekadu Muleta is an Assistant Professor in the Department of Chemistry at Adama Science and Technology University (ASTU), Ethiopia. With a PhD in Bioinorganic Chemistry, his research spans across synthesis, characterization, and biological applications of metal complexes. His academic journey includes a Master’s in Inorganic Chemistry from Bahir Dar University (BDU), where he also completed his Bachelor’s degree in Chemistry. Dr. Muleta has been actively involved in both teaching and research, contributing significantly to the fields of coordination chemistry, biochemistry, and biological chemistry. His scientific approach integrates molecular docking, antimicrobial testing, and the development of novel complexes for anti-cancer applications. His work has been published in several prestigious journals, and he continues to make strides in his area of expertise with a focus on natural product-based ligands.

🎓Profile

📚 Early Academic Pursuits

Dr. Fekadu Muleta’s academic journey began with a strong foundation in Chemistry at Bahir Dar University (BDU), Ethiopia. His interest in chemistry was evident early on, earning him a Bachelor’s degree in Science Chemistry from BDU in 2007. Following his undergraduate studies, he pursued a Master’s degree in Inorganic Chemistry, specializing in coordination chemistry and biochemistry. Under the mentorship of Prof. Girma Kibatu, his thesis focused on public health issues, specifically analyzing iodine deficiency disorders and iodized salt consumption levels among school children in Amuma and Minjo Districts in Beneshangul Gumuz, Ethiopia. This research, conducted from 2010 to 2011, laid the groundwork for his later transition into research that integrates chemistry with biological applications.

🎓 Professional Endeavors

Dr. Muleta’s professional path took a decisive step forward with his appointment as an Assistant Professor at Adama Science and Technology University (ASTU). Here, he advanced his expertise in Bioinorganic Chemistry, Biochemistry, and Inorganic Chemistry. His Ph.D. dissertation, titled “Synthesis, Characterization, and Molecular Docking Studies of Homoleptic and Heteroleptic Zinc(II), Copper(II), Nickel(II) Complexes of Semicarbazone and Thiosemicarbazone Derivative Ligands for Biological Application”, was supervised by Prof. Tegene Desalegn. This work combined his deep interest in organic ligands, metal complexes, and their biological potential, an area where his academic and professional interests converge.

🔬 Contributions and Research Focus

Dr. Muleta’s research is a blend of synthetic chemistry, biological applications, and advanced analytical techniques. His primary research focuses on the synthesis and characterization of semicarbazone and thiosemicarbazone derivative organic ligands derived from natural products. He has extensively worked on metal complexes, such as zinc, copper, and nickel, exploring their potential as antimicrobial agents, free radical scavengers, and even anti-cancer compounds. In particular, his investigations into heteroleptic and homoleptic complexes have led to novel discoveries that contribute significantly to the understanding of bioinorganic chemistry. Furthermore, Dr. Muleta’s expertise in molecular docking studies offers a crucial link between theoretical chemistry and practical biological applications, a critical area for drug discovery.

🌍 Impact and Influence

Dr. Muleta has had a profound impact on both academic research and the scientific community, particularly in Ethiopia. Through his innovative studies on metal complexation and biological activity, he has contributed to the broader field of medicinal chemistry, with applications that may influence drug design, environmental monitoring, and health sciences. His publications in peer-reviewed journals, such as the Journal of Molecular Structure and the Journal of Chemistry, are a testament to his ability to push the boundaries of both synthetic chemistry and biochemistry.

📑 Academic Citations

Dr. Muleta’s research has already garnered significant recognition in the academic community. Some of his highly cited publications include:

  1. Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone published in the Journal of Molecular Structure, 2022.
  2. Synthesis, molecular docking, and biological studies of novel heteroleptic Cu(II) and Zn(II) complexes of natural product-based semicarbazone derivatives published in 2023, which highlights his interdisciplinary approach integrating chemistry and biology.

These publications have established Dr. Muleta as a valuable contributor to the growing body of knowledge on bioinorganic chemistry and its biological applications, with the potential to lead to therapeutic advancements.

🛠️ Technical Skills

Dr. Muleta’s technical expertise spans a range of sophisticated analytical techniques and platforms. His proficiency in advanced spectroscopy (e.g., Nuclear Magnetic Resonance (NMR), Infrared (IR), UV-Visible Spectroscopy), mass spectrometry, and X-ray Diffraction (XRD) allows him to accurately characterize chemical compounds at the molecular level. Additionally, he is skilled in Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), tools essential for studying the thermal properties of materials. His use of computational tools for molecular docking further complements his empirical research, providing a holistic approach to complex biological questions.

🧑‍🏫 Teaching Experience

As an Assistant Professor at Adama Science and Technology University, Dr. Muleta has had the privilege of shaping the next generation of chemists. He teaches courses related to inorganic chemistry, bioinorganic chemistry, and biochemistry, instilling in his students not only a deep understanding of the subject matter but also a passion for scientific discovery. His ability to translate complex concepts into digestible lessons has made him a respected educator, and his mentorship has inspired many students to pursue careers in research and academia. Dr. Muleta’s work in research and teaching goes hand-in-hand, as he involves his students in cutting-edge research projects, fostering an environment of hands-on learning.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Muleta’s research trajectory promises further innovations in bioinorganic chemistry. He is well-poised to make significant strides in the synthesis of novel metal-based complexes with potential biological applications, particularly in the development of new drugs and antimicrobial agents. His work on crystal growth and solid-state chemistry is expected to contribute to material science, while his continued collaboration with international research communities will expand his global influence.

Top Noted Publications📖

Synthesis, In Silico, and Biological Applications of Novel Heteroleptic Copper (II) Complex of Natural Product-Based Semicarbazone Ligands
  • Journal: Journal of Chemistry
    Authors: Fekadu Muleta, Tegene Desalegn, Marcelino Maneiro
    Year: 2022
Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone
  • Journal: Journal of Molecular Structure
    Authors: Fekadu Muleta
    Year: 2022
Synthesis, In vitro Biological Studies of novel Homoleptic Ni(II) and Zn(II) Complexes of Thiosemicarbazide Derivative ligand
  • Journal: Chemistry and Materials Research
    Authors: Fekadu Muleta
    Year: 2022

 

 

 

 

Himanshu Kumar | Computational Methods | Editorial Board Member

Published on by High Energy Physics

Dr. Himanshu Kumar | Computational Methods | Editorial Board Member

Adjunct Professor at School of Physics, Damghan University, Iran

Dr. Himanshu Kumar is an experienced physicist with over 15 years of teaching expertise. With a PhD in Physics from Jamia Millia Islamia University, and double master’s degrees in Physics and Information Technology, Dr. Kumar combines a deep understanding of both theoretical and applied sciences. He is currently affiliated with the School of Physics, Damghan University, Iran, and holds an adjunct professor role at Delhi Technology University, India. Throughout his career, Dr. Kumar has taught a wide range of courses across Physics, Mathematics, and Computer Science at various universities, consistently earning excellent student evaluations. His teaching style is highly interactive, ensuring that each student, regardless of their academic level, comprehends the subject matter thoroughly. Additionally, Dr. Kumar has contributed to research and academic mentorship, with multiple publications in international journals and participation in various conferences.

Profile🎓

Early Academic Pursuits 🎓

Dr. Himanshu Kumar’s academic journey began with his foundational studies in Physics, earning his BSc in Physics from Vinoba Bhave University in Jharkhand, India, in 1996. He further honed his expertise by completing his MSc in Physics (2004) and a PhD in Physics from Jamia Millia Islamia University, Delhi (2014). Dr. Kumar also pursued an interdisciplinary path by obtaining a PGDITM (Post Graduate Diploma in Information Technology and Management) and an Advanced Diploma in Information Systems from Oxford Software Institute, Delhi. This unique combination of Physics, Information Technology, and Management laid the groundwork for his later contributions to both academia and research.

Professional Endeavors 💼

Dr. Himanshu Kumar has a distinguished career spanning over 15 years in academia. After completing his PhD, he has served in various esteemed positions, currently as an Adjunct Professor at Delhi Technology University and affiliated with the School of Physics, Damghan University, Iran. He has also held key roles as an Assistant Professor at prominent institutions such as Delhi University, NSUT University, and Lingaya University. His teaching career spans a wide array of courses in Physics, Mathematics, and Computer Science, where he has received excellent evaluations from students, a testament to his dedication and interactive teaching style. Dr. Kumar’s ability to connect complex scientific concepts with students of varying academic levels has earned him great respect in the academic community.

Contributions and Research Focus 🔬

Dr. Himanshu Kumar’s primary research interests lie in the computational aspects of physics, especially focusing on quantum gravity, cosmology, and astrophysics. His research has involved modeling complex physical systems, both analytically and numerically. He has published extensively in high-impact journals, contributing to topics such as general relativity, black hole thermodynamics, and quantum corrections in charged BTZ black holes. His work in computational physics bridges theoretical understanding with practical applications, making significant strides in the modeling of astrophysical systems and quantum phenomena. Dr. Kumar has presented his findings at international conferences and has served as a mentor to young researchers through summer research programs, guiding them through cutting-edge topics in theoretical physics.

Impact and Influence 🌍

Dr. Himanshu Kumar has made substantial contributions to the fields of astrophysics, cosmology, and computational physics. His research on quantum gravity and general relativity has had significant implications for our understanding of the universe’s most fundamental processes. In addition to his research contributions, Dr. Kumar has greatly impacted the academic growth of his students, guiding them not only in traditional coursework but also in practical research mentorship. His Summer Research Mentorship Award from Delhi University stands as a recognition of his commitment to student development and the advancement of theoretical physics. His active participation in conferences and workshops further solidifies his role as a key contributor to the scientific community, bringing innovative ideas to the forefront of astrophysics and cosmology.

Academic Cites 📚

Dr. Himanshu Kumar’s work is widely recognized in the scientific community, with his papers being frequently cited in research related to general relativity, astrophysics, and quantum mechanics. Some of his most cited works include his contributions to Gen. Rel. Grav. and Grav. Cosmol., where his research on higher-order quantum corrections in charged BTZ black holes is poised to significantly influence future studies in black hole thermodynamics. Dr. Kumar’s work not only pushes the boundaries of theoretical physics but also bridges gaps between different fields, such as information technology and physics, creating an interdisciplinary research environment that is both innovative and impactful.

Technical Skills 💻

Dr. Himanshu Kumar possesses a rich technical skill set that spans both Physics and Information Technology. His expertise in computational physics has led him to master various programming languages and simulation tools, such as C++, Python, Fortran, and SciLab. Additionally, he is proficient in using Gnuplot and other computational software for data analysis and visualization. Dr. Kumar’s dual expertise in Physics and IT enables him to model complex physical systems, apply advanced numerical methods, and design simulations that aid in understanding theoretical phenomena. His ability to integrate computational methods into his research is a distinguishing feature of his academic profile.

Teaching Experience 🧑‍🏫

With over 15 years of experience, Dr. Himanshu Kumar has taught a diverse range of courses in Physics, Mathematics, and Computer Science at both the undergraduate and postgraduate levels. His teaching is characterized by an interactive style that focuses on ensuring each student fully understands foundational concepts before progressing to more advanced topics. He has taught Cosmology, Astrophysics, Wave Optics, Classical Mechanics, and Computational Physics, among other courses. Dr. Kumar’s commitment to his students is reflected in his consistently high student evaluations, earning him a reputation as a dedicated and effective educator. His innovative approach to teaching and his ability to simplify complex topics have inspired students to pursue careers in physics and computational science.

Legacy and Future Contributions 🔮

Dr. Himanshu Kumar’s legacy is built on his interdisciplinary approach to teaching and research. His contributions to astrophysics, cosmology, and computational physics have paved the way for further exploration of quantum gravity and black hole thermodynamics. As he continues his work at Damghan University and Delhi Technology University, Dr. Kumar aims to inspire future generations of physicists and researchers. His commitment to student mentorship, evidenced by his numerous summer research programs, and his ongoing publications, ensure that his influence on the field will continue to grow. His work not only advances theoretical physics but also bridges the gap between scientific disciplines, offering new perspectives on how physics and information technology can be integrated to solve complex, real-world problems.

Top Noted Publications📖

Method Facilitating Wired and Wirelessly Charging Batteries of Electric Vehicles (EVS) via Deployment of Smart Charging Plug and Socket for Autonomously Locating and Engaging Plug-Socket Connector in Context of Smart Charging System
  • Journal: Patent
    Author: Dr. Himanshu Kumar
    Year: 2021
The Ageing Problem of Twins in Reissner–Nordström Spacetime
  • Journal: Modern Physics Letters A
    Author: Saurabh, Himanshu Kumar
    Year: 2020
    DOI: 10.1142/s021773232050008x
Self-interacting Cold Dark Matter: A New Jeans Theory Based Model
  • Journal: Gravitation and Cosmology
    Author: Himanshu Kumar
    Year: 2015
    DOI: 10.1134/s0202289315040106
Feebly Self-Interacting Cold Dark Matter: New Theory for the Core-Halo Structure in GLSB Galaxies
  • Journal: ArXiv
    Author: Himanshu Kumar, Sharf Alam
    Year: 2013
    DOI: 10.48550/ARXIV.1307.7469
Surface Tension with Normal Curvature in Curved Space-Time
  • Journal: General Relativity and Gravitation
    Author: Himanshu Kumar, Sharf Alam, Suhail Ahmad
    Year: 2013
    DOI: 10.1007/s10714-012-1464-y