Shah Dad Hasil | Computational Methods | Research Excellence Award

Mr. Shah Dad Hasil | Computational Methods | Research Excellence Award

University of Electronic Science and Technology of China | China

Mr. Shah Dad Hasil is an emerging researcher in computer science currently pursuing graduate studies at the University of Electronic Science and Technology of China. His academic work lies at the intersection of artificial intelligence, bioinformatics, and computational drug discovery, where he focuses on designing intelligent computational tools to accelerate biomedical research. His work integrates machine learning algorithms, molecular docking techniques, and molecular dynamics simulations to evaluate molecular interactions and predict the biological activity of potential therapeutic compounds. A major focus of his current research is the development of AI-based predictive models targeting Trypanosoma cruzi, the parasite responsible for Chagas disease, aiming to support the discovery of new antiviral and antiparasitic drug candidates. Hasil has also demonstrated interdisciplinary research interests, contributing to studies in renewable energy technologies and computational cryptography. His research outputs have appeared in several peer-reviewed publications, including articles published in the Journal of Marine Science and Engineering. In addition to his research contributions, he has strong programming expertise in Python and C++ and practical experience working with deep learning frameworks such as TensorFlow and PyTorch. His long-term academic goal is to pursue a Ph.D. and advance AI-driven methodologies that address critical challenges in drug discovery and biomedical science.

 

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Featured Publications

Jian Du | Machine Learning in Physics | Best Scholar Award

Dr. Jian Du | Machine Learning in Physics | Best Scholar Award 

Politecnico di Milano | Italy

Mr. Jian Du is a fourth-year Ph.D. candidate in Petroleum and Natural Gas Engineering at China University of Petroleum–Beijing, and a visiting Ph.D. researcher at the Department of Energy, Politecnico di Milano, Italy. His research focuses on the integration of physics-based knowledge and advanced machine learning techniques to address complex industrial challenges in liquid and multi-product pipeline systems. His core interests include explainable machine learning for pipeline process monitoring, physics-informed neural networks (PINNs) for efficient simulation of complex fluid dynamics, and knowledge-embedded data science frameworks for intelligent pipeline management. Through these efforts, he aims to bridge the gap between traditional physical modeling and data-driven approaches, improving reliability, interpretability, and real-time applicability in energy transportation systems. Jian Du has made significant research contributions in the areas of contamination tracking, hydraulic transient simulation, batch tracking, corrosion prediction, and energy system forecasting. He has authored or co-authored more than 30 peer-reviewed publications, with over 17 papers as first or second author, published in leading journals such as Energy, Engineering Applications of Artificial Intelligence, Journal of Industrial Information Integration, Renewable and Sustainable Energy Reviews, and Chemical Engineering Research and Design. His cumulative journal impact factor exceeds 95, and his work includes an ESI Hot Paper and Highly Cited Paper ranked in the top 1% of the engineering field. A recurring theme in his research is the development of the “DeepPipe” framework—a series of theory-guided, physics-enhanced, and multi-modal neural networks tailored for real-time pipeline monitoring and decision support.

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Featured Publications

Assoc. Prof. Dr. Adnan Ozsoy | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Adnan Ozsoy | Computational Methods | Best Researcher Award

Hacettepe University | Turkey

Dr. Adnan Ozsoy is a computer engineering academic specializing in blockchain, cryptocurrencies, distributed systems, parallel computing, HPC, GPGPU technologies, and big data problems. He has led and contributed to multiple prestigious funded research projects covering efficient parallelization on GPUs, lattice-based cryptographic protocols, and NTRU-based cryptosystems. His current research focuses on blockchain applications across sectors such as health, land registry, digital identity, secure distributed storage, scalable microservices, high-rate message handling, voltage scaling on GPUs, data compression, SDR-based real-time signal detection, and sequence alignment. He has supervised numerous Ph.D. and M.S. theses in blockchain technologies, parallel and embedded systems, cryptography, and secure distributed computing. At Hacettepe University, he teaches core and advanced subjects including data structures, algorithms, parallel programming, and blockchain, and has pioneered Turkey’s first undergraduate and graduate blockchain course. His professional engagements include consultancy at NETGSM on big data architecture, cloud and container technologies, microservices, scalability challenges, and academic R&D outcomes. His career is further supported by several major international and national awards, invitations for seminars and trainings, and industry collaborations in GPU computing and blockchain technologies.

Erdogan, H. T., & Ozsoy, A. (2025). CUDA-supported 5G multi-access edge computing modifications on 5G-air-simulator. EURASIP Journal on Wireless Communications and Networking, 2025(1), 29.

Ozsoy, A., Nazli, M., Cankur, O., & Sahin, C. (2025). CUSMART: Effective parallelization of string matching algorithms using GPGPU accelerators. Frontiers of Information Technology & Electronic Engineering, 26(6), 877–895.

Cihan, S., Yılmaz, N., Ozsoy, A., & Beyan, O. D. (2025). A systematic review of the blockchain application in healthcare research domain: Toward a unified conceptual model. Medical & Biological Engineering & Computing, 63(5), 1319–1342.

Zorlu, O., & Ozsoy, A. (2024). A blockchain-based secure framework for data management. IET Communications, 18(10), 628–653.

Fisne, A., Kalay, A., Yavuz, F., Cetintepe, C., & Ozsoy, A. (2023). Energy-efficient computing for machine learning based target detection. Concurrency and Computation: Practice and Experience, 35(24), e7582.

Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

Dr. Bhimrao Ambedkar Government Medical College | India

Dr. Adarsh Kumar Shukla is a motivated and results-driven professional with expertise in Environmental Toxicology, Clinical Bioinformatics, NGS Data Analysis, Pathway Analysis, Computer-Aided Drug Design, Structural Biology, Metabolomics, Computational Biology, and Computational Chemistry. Currently serving as Scientist-B at the Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, he has prior experience as a Scientist and Research Associate in Paediatric Cardiac Research at Sri Sathya Sai Sanjeevani Research Foundation, as well as academic and project coordination roles in biotechnology and medicinal plant research. He has coordinated national-level academic events and completed FDPs focused on healthcare innovation. Dr. Shukla has contributed significantly to Health-, Plant-, and Food-Informatics research, presented papers at several conferences, and holds a granted Indian patent for the development of crab-apple-based jelly sheets. His research interests encompass structural bioinformatics, human genomics, and nutritional biotechnology, with strong proficiency in in-silico tools, laboratory instrumentation, and data analysis. Skilled in programming languages such as R, Biopython, and Bioperl, he combines computational and experimental approaches to address complex biomedical challenges.sics.

Profile: Scopus | Orcid | Google Scholar 

Featured Publications

Shukla, A. K., & Kukshal, P. (2025). Computational simulations aided prioritization of genomic targets for congenital heart disease (CHD) against developmental toxicity. Reproductive Toxicology, 108, 108940.

Shukla, A. K., & Kumar, A. (2025). A chemoinformatics study to prioritization of anticancer orally active lead compounds of pearl millet against adhesion G protein-coupled receptor. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 334, 125960.

Jha, R. K., Shukla, A. K., Kumari, A., & Kumar, A. (2025). Virtual screening of potential orally active anti-bacterial compounds of finger millet. Vegetos, 38(3), 1237–1248.

Jain, S., Shukla, A. K., Deepika, Panwar, S., Kumari, A., Yadav, A. K., & Kumar, A. (2024). Revolutionizing disease treatment through bioengineered probiotics and glucagon‐like peptide 1 (GLP‐1) based strategies: A path towards effective cures. Food Bioengineering, 2024, 1.

Panwar, S., Pal, S., Shukla, A. K., Kumar, A., & Sharma, P. K. (2024). Identification of micronutrient deficiency related miRNA and their targets in Triticum aestivum using bioinformatics approach. Ecological Genetics and Genomics, 31, 100236.

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Southwest Petroleum University  | China

Professor Shi Xiangchao, Assistant Dean at the School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, specializes in drilling acceleration, intelligent drilling systems, and rock mechanics. His pioneering work integrates finite element analysis and rock mechanics to enhance the coupling performance of PDC bits and positive displacement motors (PDMs), improving drilling efficiency and stability in complex formations. He has contributed significantly to deep and ultra-deep shale gas drilling technologies through collaborations with CNPC, Sinopec, and international universities. His research establishes strong theoretical and computational foundations for intelligent, efficient, and safe petroleum drilling operations.

Profile: Scopus | Orcid | Google Scholar  

Featured Publications

Liu, J., Xue, F., Dai, J., Yang, J., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China. Journal of Applied Geophysics, 105850.

Dai, J., Liu, J., Yang, J., Xue, F., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds. Journal of Rock Mechanics and Geotechnical Engineering.

Wang, Z., Shi, X., Jiao, Y., Chen, S., Wang, R., & Lv, Z. (2025). Integrated selection and design method for PDC bits and positive displacement motor. Petroleum.

Fan, C., Nie, S., Li, H., Pan, Q., Shi, X., Qin, S., Zhang, M., & Yang, Z. (2024). Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 67.

Wang, Z., Shi, X., Chen, S., Jiao, Y., Wang, R., & Lv, Z. (2024). Enhancement on PDC bit based on Archimedean spiral control method. Petroleum Science Bulletin.

Atilla Biyikoglu | Computational Methods | Best Researcher Award

Prof. Dr. Atilla Biyikoglu | Computational Methods | Best Researcher Award

Gazi University | Turkey

Dr. Atilla Biyikoglu is a distinguished academic in the field of Mechanical Engineering, currently serving as a professor at the Faculty of Engineering, Gazi University. With a career spanning more than three decades, he has built a robust academic and professional portfolio that integrates teaching, research, administration, and industrial collaboration. His expertise lies in thermal sciences, combustion modeling, and energy systems. In addition to his academic contributions, Dr. Biyikoglu has played significant roles in professional societies such as ASHRAE and TIBTD, further strengthening the bridge between academia and industry. He has also made notable contributions to national energy efficiency projects and student engagement initiatives. His career reflects dedication to advancing engineering education, scientific research, and energy technologies.

Profiles

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Education

Dr. Atilla Biyikoglu completed his undergraduate, master’s, and doctoral studies in Mechanical Engineering from leading Turkish institutions. His academic foundation began with a Bachelor’s degree at Gazi University, where he developed a strong grounding in mechanical systems. He further pursued a Master of Science degree at Middle East Technical University, focusing on thermodynamic analysis and optimization of thermal energy storage systems. His doctoral studies at Gazi University centered on mathematical modeling of combustion in fixed bed boilers, a critical area in energy and thermal sciences. This solid academic background laid the groundwork for his future contributions to energy efficiency, heat transfer, and computational modeling. His education emphasizes a continuous commitment to analytical rigor and real-world problem solving in engineering.

Professional Experience

Dr. Biyikoglu has spent his professional life at Gazi University, progressively advancing through roles from Research Assistant to Professor. Throughout his tenure, he has contributed significantly to undergraduate and graduate education, curriculum development, and departmental leadership. His academic positions include Assistant Professor, Associate Professor, and later full Professor in the Mechanical Engineering Department. He has also held several administrative roles, including Head of Department, member of accreditation and undergraduate commissions, and editor of faculty journals. His experience includes organizing technical tours, mentoring students, and leading various academic committees. In parallel, he actively participated in national technical briefings and scientific symposiums, establishing himself as a central figure in mechanical engineering education and research in Turkey.

Honors and Awards

Dr. Biyikoglu has been honored with several prestigious academic awards that recognize his outstanding scientific contributions. He has received multiple International Scientific Publication Awards from TUBITAK, highlighting the quality and impact of his published research. Additionally, his university acknowledged his scientific excellence with publication awards from the Rectorate of Gazi University. He has served as an editor and advisor for national energy optimization publications and holds a patent in waste heat recovery systems. His leadership in Turkish and international societies, such as ASHRAE and TIBTD, has earned him further professional distinction. These accolades reflect both his research productivity and his commitment to enhancing the scientific and industrial community through sustainable energy solutions and engineering innovation.

Research Focus

Dr. Atilla Biyikoglu’s research is deeply rooted in thermal sciences, with a focus on combustion, energy efficiency, and fluid dynamics. His doctoral work in combustion modeling laid the groundwork for further studies in mathematical modeling, thermodynamics, and heat transfer. He has authored books and edited technical manuals on energy system optimization, especially in fan, pump, steam, and compressed air systems. His research integrates theoretical modeling with industrial applications, often addressing pressing challenges in sustainable energy and clean technologies. He has also contributed to the development of software tools and programming resources in Fortran for engineering education. His research continues to support the national energy agenda through applied work in industrial energy systems and clean energy initiatives.

Notable Publications

Accurate Computation of Multiphase Flows with High-Density and Pressure Ratios Using Smoothed Particle Hydrodynamics
Authors: Murat Erbaş, Metehan Atcı, Mehmet Karaca, Atilla Bıyıkoğlu
Journal: Computers & Fluids
Year: 2025

Development of an Analytical Model to Investigate Temperature Distribution and Melt Geometry in the Laser Powder Bed Fusion Process Under Different Operating Parameters
Authors: Korhan Ökten, Bülent Nafi Örnek, Atilla Bıyıkoğlu
Journal: Journal of Laser Applications
Year: 2025

Efficiency Analysis of COVID-19 Filtration with The Theoretical Approach Developed for Single Fiber Efficiency
Authors: Dilara Coşkun, Korhan Ökten, Atilla Bıyıkoğlu
Journal: International Journal of Pioneering Technology and Engineering
Year: 2022

Enhancing the Performance of a Vapour Compression Refrigerator System Using R134a with a CuO/CeO₂ Nano-Refrigerant
Authors: H.E. Mohamed, U. Camdali, Atilla Bıyıkoğlu, M. Aktas
Journal: Journal of Mechanical Engineering
Year: 2022

Development of Thermal Model for the Determination of SLM Process Parameters
Authors: Korhan Ökten, Atilla Bıyıkoğlu
Journal: Optics & Laser Technology
Year: 2021

Conclusion

Dr. Atilla Biyikoglu stands out as an accomplished academic and researcher who has significantly impacted mechanical engineering education and energy research. Through his leadership, publications, and mentorship, he has helped shape the next generation of engineers while advancing knowledge in critical thermal systems. His multidisciplinary approach, combined with a strong commitment to applied research and industrial collaboration, makes him a respected figure in both academia and professional engineering societies. His career exemplifies excellence, innovation, and dedication to sustainable technological progress.

 

Hadji Chikh Ali | Computational Methods | Best Researcher Award

Dr. Hadji Chikh Ali | Computational Methods | Best Researcher Award

University of Relizane | Algeria

Dr. Chikh Ali Hadji is a dedicated student and researcher specializing in Material Physics and Energy Physics. He is currently pursuing his doctoral studies at Ahmed Zabana Reizane, Algeria, following his strong academic foundation from Dr. Moulay Tahar Saida University. In addition to his scientific pursuits, Hadji is a sports enthusiast, an Algerian judo champion, and a certified first aider.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Hadji’s academic journey began with a Baccalaureate in Experimental Science in 2015, followed by a License in Radiation Physics (2015–2018) and a Master’s degree in Radiation Physics and Matter Science (2018–2020), both from Dr. Moulay Tahar Saida University. These studies laid the groundwork for his specialization in material science and his current focus on optoelectronic and thermoelectric properties of materials, particularly double perovskites.

Professional Endeavors 💼

Hadji is not only a researcher but also has a versatile professional background. He has served as a pharmacist salesman and is the founder of the Amal Awlad Yahyat Elbayed sports club. As a leading sports educator, Hadji specializes in swimming, and his experience as a judo coach further highlights his commitment to youth development and physical education. He also holds certification in first aid, contributing to his diverse skill set.

Contributions and Research Focus 🔬

Hadji’s research is centered around material physics and energy physics, particularly focusing on the optoelectronic and thermoelectric properties of double perovskites for use in renewable energy applications. His research aims to better understand materials like Cs2BaSrI6 and Cs2ZnPbX6, investigating their structural, electronic, and optical properties through ab-initio studies. He has contributed significantly to conferences such as the SNCV 2024 and ICMSE 2024, showcasing his work on perovskite solar cells and thermoelectrics.

Impact and Influence 🌍

Hadji’s contributions to material science and energy physics are steadily increasing his influence in these fields. His publications in reputable journals such as Materials Science and Engineering: B and Annals of West University of Timisoara-Physics have garnered attention for their exploration of novel materials like double perovskites. His ability to collaborate and present his findings at international seminars and conferences further amplifies his impact on the scientific community.

Research Skills 🧠

Hadji has a highly technical skill set, excelling in scientific computing tools such as Wien2k, Origin, Python, Matlab, and Labview. These tools enable him to conduct detailed simulations and ab-initio studies, providing insights into the electronic and optical properties of materials. His proficiency in these areas makes him a strong researcher capable of making valuable contributions to material design and renewable energy technologies.

Legacy and Future Contributions 🌟

Hadji’s scientific trajectory suggests that he will play a key role in advancing renewable energy technologies and material design in the future. His research into double perovskites and heterojunction solar cells is pushing the boundaries of optoelectronics and thermoelectrics, and his contributions will likely shape sustainable energy solutions. His ability to balance both academic and sports leadership also positions him to influence future generations in both the scientific and sporting communities.

Publications Top Notes

I-MASnBr3/CZTGS Heterojunction Solar Cell Layer Optimization Investigated Using Scaps-1D Software Exhibited Excellent Performance at 50%

    • Authors: M Ghaleb, A Arrar, AH Chikh, H Bendjilali, O Zerrouki
    • Journal: Annals of the West University of Timisoara. Physics Series
    • Year: 2024

Ab initio study of the optoelectronic and thermoelectric properties of the new double perovskite Cs2ZnPbX6 (X= Br, Cl)

    • Authors: CA Hadji, A Arrar, M Ghaleb, H Bendjilali, O Zerrouki
    • Journal: Materials Science and Engineering: B
    • Year: 2024

The structural, electronic, elastic, and optical properties of new double perovskite Cs2CdPbI6 were investigated using a DFT and SCAPS-1D simulation

    • Authors: M Ghaleb, A Arrar, HC Ali, H Bendjilali, O Zerrouki
    • Year: 2024

Kerem Mertoğlu | Computational Methods | Best Researcher Award

Assist. Prof. Dr. Kerem Mertoğlu | Computational Methods | Best Researcher Award

Professor (Assistant) at Usak University, Turkey

👨‍🎓 Profiles

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🧑‍🔬📚Summary

Dr. Kerem Mertohğlu is an Assistant Professor with expertise in horticultural science, focusing on fruit cultivation and breeding. His research spans a range of topics including fruit disease resistance, plant biochemistry, and sustainable agriculture practices. He is active in national and international projects and has contributed to numerous publications in reputable journals. 🧑‍🔬📚

Education

  • Doctoral Degree (2017) in Horticulture, specializing in Fruit Breeding and Cultivation 🌿🎓

Professional Experience

  • Assistant Professor, Usak University, Faculty of Agriculture (2023 – Present) 🍏
  • Researcher, Various National and International Research Projects 📊
  • Visiting Researcher, Leibniz University, Germany (2021-2022) 🌍

Research Interests

  • Fruit Breeding & Cultivation 🍎🍇
  • Plant Disease Resistance (e.g., Erwinia amylovora in pear) 🌾🔬
  • Phytochemical Characteristics & Antioxidant Activity in fruits 🍒
  • Impact of Environmental Factors (e.g., altitude on fruit quality) 🌄
  • Sustainable Agricultural Practices and Post-Harvest Technology 🍃

Key Projects

  • Strengthening Social Capital for Rural Development (EU Project) 🌍
  • Development of Liquid Chromatography for Organic Acid Detection (National Project) 🔬

Top Noted Publications

Screening and classification of rosehip (Rosa canina L.) genotypes based on horticultural characteristics
  • Authors: Mertoğlu, K., Durul, M.S., Korkmaz, N., Bulduk, I., Esatbeyoglu, T.
    Journal: BMC Plant Biology (2024)
Mineral composition modulates Erwinia amylovora resistance in pear based on path analysis
  • Authors: Mertoğlu, K., Evrenosoğlu, Y., Akkurt, E., Yeşilbaş, M.F., Gülmezoğlu, N.
    Journal: European Journal of Plant Pathology (2024)
Preharvest Salicylic Acid and Oxalic Acid Decrease Bioactive and Quality Loss in Blackberry (cv. Chester) Fruits during Cold Storage
  • Authors: Erbas, D., Mertoğlu, K., Eskimez, I., Kaki, B., Esatbeyoglu, T.
    Journal: Journal of Food Biochemistry ( 2024)
Maternal Environment and Priming Agents Effect Germination and Seedling Quality in Pitaya under Salt Stress
  • Authors: Kenanoğlu, B.B., Mertoğlu, K., Sülüşoğlu Durul, M., Korkmaz, N., Çolak, A.M.
    Journal: Horticulturae (2023)
Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
  • Authors: Akkurt, E., Mertoğlu, K., Evrenosoğlu, Y., Alpu, Ö.
    Journal: Erwerbs-Obstbau (2023)

 

 

 

Fekadu Muleta | Computational Methods | Editorial Board Member

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

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