Dattatreya Kadam | Agricultural Engineering | Editorial Board Member

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Dr. Dattatreya Kadam | Agricultural Engineering | Editorial Board Member

Indian Council of Agricultural Research-Central Institute for Research on Cotton Technology | India

Dr. Dattatreya Kadam is a distinguished Principal Scientist recognized for his extensive contributions to food process engineering, machine design, nanotechnology applications in food systems, and innovative drying technologies. His research has significantly advanced foam-mat drying, convective drying, solar-assisted drying, and thin-layer drying modeling across a wide range of fruits, vegetables, and medicinal plants. He has made notable strides in improving product quality, nutrient retention, and functional properties in dried foods, particularly in tomato, mango, pineapple, guava, basil, mint, and mandarin. Dr. Kadam’s work also extends to the development of innovative food packaging solutions, including nanotechnology-enabled active and intelligent packaging materials, reinforcing whey protein films with advanced nanostructures, and studying antimicrobial characteristics of engineered nanoparticles. His research integrates experimental design, mathematical modeling, physical property evaluation, and quality assessment to optimize food processing operations. He has also contributed to improvements in agricultural and food machinery, thermal systems, and postharvest processing of crops such as maize, cauliflower, and cottonseed. Dr. Kadam’s publications highlight his multidisciplinary expertise, addressing product stability, shelf-life enhancement, sensory quality, and physicochemical transformations during processing. His collaborative work has strengthened the scientific understanding of how process variables influence structural, biochemical, and functional attributes of food materials, helping industry and researchers adopt more efficient, sustainable, and quality-oriented technologies. Through his leadership roles and scientific output, he continues to influence advancements in food engineering, value addition, and nanotechnology-driven innovations, contributing to the modernization of agro-processing and supporting the development of high-quality food products with improved safety, functionality, and consumer acceptability.

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Featured Publications

Kadam, D. M., & Balasubramanian, S. (2011). Foam mat drying of tomato juice. Journal of Food Processing and Preservation, 35(4), 488–495.

Kadam, D. M., Pratibha, K., & Ramesh, K. (2012). Evaluation of guava products quality. International Journal of Food Science and Nutrition Engineering, 2(1), 7–11.

Kadam, D. M., Wilson, R. A., & Kaur, S. (2010). Determination of biochemical properties of foam-mat dried mango powder. International Journal of Food Science and Technology, 45(8), 1626–1632.

Mlalila, N., Kadam, D. M., Swai, H., & Hilonga, A. (2016). Transformation of food packaging from passive to innovative via nanotechnology: Concepts and critiques. Journal of Food Science and Technology, 53, 3395–3407.

Kadam, D. M., Goyal, R. K., Singh, K. K., & Gupta, M. K. (2011). Thin layer convective drying of mint leaves. Journal of Medicinal Plants Research, 5(2), 164–170.

Rajani Kumari Vaddepalli | Data Engineering | Editorial Board Member

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Mrs. Rajani Kumari Vaddepalli | Data Engineering | Editorial Board Member

Senior Data Engineer | Callaway Golf | United States

Mrs. Rajani Kumari Vaddepalli is a senior data engineer whose research and professional work span data engineering, artificial intelligence, machine learning, and cloud-native systems, with a strong emphasis on scalable, reliable, and ethically aligned data ecosystems. Her scholarly contributions explore advanced topics such as real-time stream processing, schema drift adaptation, hybrid consensus blockchain models, AI security, cross-platform interoperability, culturally adaptive AI visualizations, and responsible data governance. She has also advanced methods in anomaly detection, automated feature engineering, explainable AI, and federated learning for secure multi-institutional collaboration. Her publications demonstrate a consistent focus on integrating technical innovation with practical industry challenges, offering frameworks that bridge regulatory expectations, operational efficiency, and organizational trust in AI-driven decision systems. Complementing her academic footprint, her professional background reflects deep expertise in designing enterprise-grade data pipelines, optimizing cloud data warehousing, and ensuring resilient distributed architectures across diverse sectors including healthcare, retail, finance, logistics, and public governance. She brings a strategic understanding of how AI, metadata automation, and dynamic fault-tolerance mechanisms can enhance the transparency and reliability of modern data platforms. Through both research and practice, she contributes to building data and AI systems that are scalable, culturally aware, fair, and aligned with global standards for security and accountability, making her a significant voice in the evolving landscape of intelligent data engineering.

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Featured Publications

Vaddepalli, R. K. (2022). Streaming vs. batch at scale: How Snowflake’s real-time processing stacks up against on-premises data warehouses. ISCSITR – International Journal of Cloud Computing (ISCSITR-IJCC), 3(1), 9–26.

Vaddepalli, R. K. (2024). Toward a greener blockchain for document verification: Balancing energy efficiency and security with hybrid consensus models. European Journal of Advances in Engineering and Technology, 11(4), 186–191.

Vaddepalli, R. K. (2024). Moving beyond generic solutions: Crafting industry-tailored ethical frameworks for unbiased generative AI in B2B sales. Journal of Scientific and Engineering Research, 11(6), 173–179.

Vaddepalli, R. K. (2021). Adaptive AI-driven data integration: Navigating regulatory challenges in healthcare, finance, retail, and logistics. International Journal of Artificial Intelligence and Machine Learning (QIT Press).

Vaddepalli, R. K. (2023). AutoSchema: A self-learning framework for detecting and adapting to schema drift in real-time data streams. European Journal of Advances in Engineering and Technology, 10(7), 94–100

Murat Emec | Ecology Informatics | Editorial Board Member

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Dr. Murat Emec | Ecology Informatics | Editorial Board Member

Istanbul University | Turkey

Dr. Murat Emec is an accomplished researcher whose work sits at the intersection of artificial intelligence, data science, health informatics, sustainability, and the Internet of Things, with a strong emphasis on applying machine learning to real-world societal challenges. His research portfolio spans advanced deep learning models for intrusion detection in IoT networks, ensemble machine learning approaches for air quality prediction, potable water quality forecasting for sustainable resource management, and the development of specialized IoT datasets aimed at improving cybersecurity analysis. He has contributed to innovative methods in hyperparameter optimization, feature engineering, and data preprocessing, supporting the development of robust predictive systems across multiple domains. Dr. EMEÇ’s work extends into medical and biochemical applications, including machine learning-based LDL prediction, radiomics-driven diagnostic modelling in oncology and neurology, and prognostic modelling using MRI data. His research also covers complex environmental and agricultural modelling, such as global wheat water footprint estimation using ensemble learning. Beyond technical fields, he has explored the societal impact of generative AI, healthcare insurance cost prediction models, and behavioural and gait analysis using sensor-based systems. He has co-developed machine learning solutions for transportation analytics, including large-scale airline ticket price prediction, and contributed to studies on pandemic data modelling. His scholarship reflects a consistent focus on designing data-driven, adaptive, and intelligent systems that enhance sustainability, healthcare decision-making, cybersecurity resilience, and smart environments. Overall, his research demonstrates a multidisciplinary orientation, integrating computational innovation with practical applications in health, environment, and digital transformation.

Profile: Google Scholar

Featured Publications

Emeç, M., & Özcanhan, M. H. (2022). A hybrid deep learning approach for intrusion detection in IoT networks. Advances in Electrical and Computer Engineering, 22(1), 3–12.

Emeç, M., & Yurtsever, M. (2024). A novel ensemble machine learning method for accurate air quality prediction. International Journal of Environmental Science and Technology.

Yurtsever, M., & Emeç, M. (2023). Potable water quality prediction using artificial intelligence and machine learning algorithms for better sustainability. Ege Academic Review, 23(2), 265–278.

Emeç, M., & Özcanhan, M. H. (2023). ROUT-4-2023: RPL based routing attack dataset for IoT.

Emeç, M., & Tecim, V. (2016). RFID teknolojisi kullanarak kampüs harcama sistemlerinin tasarlanması ve uygulanması: Üniversite örneği. Yönetim Bilişim Sistemleri Dergisi, 2(1), 77–90.

Ahmed Eassa | Information Systems | Editorial Board Member

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Assist. Prof. Dr. Ahmed Eassa | Information Systems | Editorial Board Member

Management Information Systems Department, Faculty of Management | Egypt

Assist. Prof. Dr. Ahmed Eassa is a researcher specializing in NoSQL security, web application protection, Internet of Things, blockchain-based systems, and intelligent cloud architectures, with a strong focus on designing secure, scalable, and context-aware digital solutions. His work advances modern computing through contributions to NoSQL injection detection methodologies, multi-agent testing tools, and advanced frameworks that enhance the security and performance of web applications. He has developed several architectures integrating IoT, context awareness, smart environments, and cloud services, including models for smart homes, hotel management, supply chains, and pandemic-control ecosystems using blockchain and cloud computing. His research also explores the optimization of web development through headless CMS and serverless approaches, as well as the integration of generative AI into decision-support systems to strengthen business information management. Across his publications, Dr. Eassa addresses critical gaps in cybersecurity by proposing innovative detection tools, secure models, and blockchain-enabled auditing mechanisms that support transparency, operational efficiency, and data integrity. His professional experience spans academic research, teaching, supervision, and collaborative development of security-focused software tools. He has contributed to interdisciplinary projects in computing, business technologies, and cyber-physical systems, reflecting a commitment to advancing secure digital transformation across organizational and industrial contexts. Through continuous engagement in emerging research areas such as Industry 5.0 cybersecurity, AI-driven analytics, and IoT-cloud ecosystems, he maintains a prominent role in shaping next-generation information systems and secure application architectures.

Profile: Google Scholar

Featured Publications

Eassa, A. M., Elhoseny, M., El-Bakry, H. M., & Salama, A. S. (2018). NoSQL injection attack detection in web applications using RESTful service. Programming and Computer Software, 44(6), 435–444.

Hassan, S. A. Z., & Eassa, A. M. (2022). A proposed architecture for smart home systems based on IoT, context-awareness and cloud computing. International Journal of Advanced Computer Science and Applications, 13(6).

Eassa, A. M., Al-Tarawneh, O. H., El-Bakry, H. M., & Salama, A. S. (2017). NoSQL racket: A testing tool for detecting NoSQL injection attacks in web applications. International Journal of Advanced Computer Science and Applications, 8(11).

Salama, A. S., & Eassa, A. M. (2022). IoT and cloud-based blockchain model for COVID-19 infection spread control. Journal of Theoretical and Applied Information Technology, 100(1), 113–126.

Hassan, S. A. Z., & Eassa, A. M. (2025). SHMIS: An integrated IoT context-awareness framework for hotel management to enhance guest experience and operational efficiency. Information Technology & Tourism, 27(3), 1–34.

Ahmet Canan | Biodiesel | Editorial Board Member

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Assist. Prof. Dr. Ahmet Canan | Biodiesel | Editorial Board Member

Lecturer | Karabuk University | Turkey

Assist. Prof. Dr. Ahmet Canan is a researcher specializing in renewable energy systems, biomass conversion, anaerobic digestion, clean fuel technologies, and multi-objective optimization for sustainable energy production. His work integrates experimental analysis and advanced statistical modeling to enhance the efficiency, environmental compatibility, and economic viability of bioenergy processes. He has made significant contributions to optimizing anaerobic digestion performance, particularly through investigating the role of various slags, blast furnace residues, and other additives on methane yield and process stability, supported by predictive models based on response surface methodology. His research also extends to next-generation biofuels, including biodiesel–diesel blends enriched with boron compounds to achieve cleaner combustion and reduced emissions, offering pathways toward greener transportation fuels. He explores innovative valorization of waste materials by converting plastic waste cable components into energy sources through optimization methods combined with nanomaterial enhancements. His interdisciplinary profile includes work on biomass drying kinetics, solar energy system comparisons under regional conditions, and thermodynamic assessments of heat exchanger systems for industrial applications. With publications in reputable environmental and energy journals, he consistently focuses on bridging practical engineering challenges with data-driven optimization strategies. His professional experience reflects strong expertise in experimental setup design, emissions analysis, process modeling, and sustainability assessment across renewable energy technologies. Overall, his research portfolio contributes to advancing cleaner energy solutions, improved biomass utilization, and innovative waste-to-energy processes that support the global transition toward low-carbon energy systems.

Profiles: Scopus | Google Scholar

Featured Publications

Canan, A., Calhan, R., & Ozkaymak, M. (2021). Investigation of the effects of different slags as accelerant on anaerobic digestion and methane yield. Biomass Conversion and Biorefinery, 11(4), 1395–1406.

Canan, A., Calhan, R., & Ozkaymak, M. (2021). Investigation of the effects of blast furnace slag ratio, total solid, and pH on anaerobic digestion: Modeling and optimization by using response surface methodology. Biomass Conversion and Biorefinery, 11(5), 2219–2232.

Canan, A. (2025). Enrichment of 3rd generation biodiesel/diesel blends with optimum boron oxide for cleaner diesel emissions by multi-objective optimization using RSM. Environmental Research, 276, 121472.

Roshanaei, K., Dağdeviren, A., Acar, B., Demir, E., Canan, A., Dumrul, H., … (2021). Study the characteristics of kinetic model of drying freeze-dried rosehip (Rosa canina). Journal of International Environmental Application and Science, 16(4), 149–158.

Canan, A. (2025). Multi-purpose optimization with response surface methodology of plastic waste cables to clean energy with graphene nanoparticles. Journal of Environmental Management, 391, 126336.

Wojciech Zapala | Chemical Engineering | Editorial Board Member

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Assoc. Prof. Dr. Wojciech Zapala | Chemical Engineering | Editorial Board Member

Professor | Rzeszow University of Technology | Poland

Assoc. Prof. Dr. Wojciech Zapala is a researcher whose work spans chromatographic science, adsorption thermodynamics, sorption kinetics, separation mechanisms, and the physicochemical behaviour of materials under complex processing conditions. His research integrates experimental chromatography, mathematical modelling, spectral and thermal analyses, and discrete element simulations, contributing to a deeper understanding of mass transport, retention processes, and material flow dynamics. He has extensively studied hydrophilic interaction chromatography, mixed-mode systems, ion-exclusion processes, and the influence of modifiers, temperature, and stationary-phase characteristics on retention. His contributions also include the development and characterization of transition-metal and lanthanide complexes, with detailed investigations of their spectroscopic, thermal, decomposition, and antibacterial properties. In addition, his work explores the mechanical, rheological, and flowability properties of agricultural residues, biomass, and solid mixtures, combining modelling approaches with laboratory experiments to support process optimization in engineering applications. He has authored numerous publications in international journals, covering areas such as chromatographic column behaviour, adsorption energy distribution, biomass mechanics, complexation chemistry, and advanced thermal analysis. His interdisciplinary expertise allows him to bridge chemical engineering, analytical chemistry, materials science, and computational modelling, contributing valuable insights into separation science, material characterization, and process design. Throughout his career, he has engaged in competitive research grants, collaborated with multidisciplinary teams, and contributed to the advancement of chromatographic theory and applied material science through sustained scholarly output and innovative methodological approaches.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Gubernak, M., Zapała, W., & Kaczmarski, K. (2003). Analysis of amylbenzene adsorption equilibria on an RP-18e chromatographic column. Acta Chromatographica, 38–59.

Kaczmarski, K., Kostka, J., Zapała, W., & Guiochon, G. (2009). Modeling of thermal processes in high pressure liquid chromatography: I. Low pressure onset of thermal heterogeneity. Journal of Chromatography A, 1216(38), 6560–6574.

Zapała, L., Kosińska, M., Woźnicka, E., Byczyński, Ł., & Zapała, W. (2016). Synthesis, spectral and thermal study of La(III), Nd(III), Sm(III), Eu(III), Gd(III) and Tb(III) complexes with mefenamic acid. Journal of Thermal Analysis and Calorimetry, 124(1), 363–374.

Zapała, L., Kosińska, M., Woźnicka, E., Byczyński, Ł., Ciszkowicz, E., et al. (2019). Comparison of spectral and thermal properties and antibacterial activity of new binary and ternary complexes of Sm(III), Eu(III) and Gd(III) ions with N-phenylanthranilic acid. Thermochimica Acta, 671, 134–148.

Zapała, L., Kosińska, M., Woźnicka, E., Byczyński, Ł., Zapała, W., et al. (2018). Preparation, spectral properties and thermal decomposition of new ternary complexes of La(III), Ce(III), Pr(III) and Nd(III) ions with N-phenylanthranilic acid and 1,10-phenanthroline. Thermochimica Acta, 659, 242–252.

Eswar Shankar | Caner biology | Editorial Board Member

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Dr. Eswar Shankar | Caner biology | Editorial Board Member

Assistant Research Professor | Ohio State University | United States

Dr. Eswar Shankar is a multidisciplinary biomedical researcher recognized for advancing mechanistic understanding of cancer biology, inflammation, metabolic disorders, and natural product therapeutics through molecular, cellular, and translational investigations. His work has significantly illuminated the anticancer potential of phytochemicals, including chamomile-derived bioactives and the plant flavone apigenin, establishing their roles in targeting oncogenic signaling, modulating epigenetic regulators, suppressing NF-κB and IKK-driven pathways, and attenuating prostate cancer progression in diverse in vitro and in vivo models. He has contributed extensively to the understanding of diet–gene interactions by demonstrating how high-fat diets activate pro-inflammatory networks in prostate tissues through the interplay of NF-κB, Stat-3, oxidative stress, and metabolic dysregulation. His research further spans apoptosis signaling dynamics, revealing how PKCɛ, p53, Hdm2, Bid, and TRAIL pathways orchestrate cell survival or resistance in cancer systems. Dr. Shankar has also offered pivotal insights into dopaminergic control of insulin secretion, inflammatory cross-talk between oral and prostatic microenvironments, survivin–TGF-β–mTORC1 coordinated growth regulation, and the influence of microRNAs such as miR-644a on metabolic reprogramming and oncogenic transformation. His work integrates molecular pharmacology, epigenetic reactivation strategies, and biomarker discovery to inform innovative therapeutic approaches leveraging dietary compounds, targeted inhibitors, and biochemical modulation. Furthermore, his collaborative contributions extend to clinical and translational studies involving stereotactic radiotherapy, metabolic interventions such as statin use, and diagnostic evaluation of oxidative stress in cancer risk groups. Across these domains, he maintains a strong focus on translating molecular discoveries into impactful biomedical applications for cancer prevention, metabolic health, and precision therapeutics.

Profile: Google Scholar

Featured Publications

Srivastava, J. K., Shankar, E., & Gupta, S. (2010). Chamomile: A herbal medicine of the past with a bright future. Molecular Medicine Reports, 3(6), 895–901.

Shankar, E., Goel, A., Gupta, K., & Gupta, S. (2017). Plant flavone apigenin: An emerging anticancer agent. Current Pharmacology Reports, 3(6), 423–446.

Shankar, E., Kanwal, R., Candamo, M., & Gupta, S. (2016). Dietary phytochemicals as epigenetic modifiers in cancer: Promise and challenges. Seminars in Cancer Biology, 40, 82–99.

Shukla, S., Shankar, E., Fu, P., MacLennan, G. T., & Gupta, S. (2015). Suppression of NF-κB and NF-κB-regulated gene expression by apigenin through IκBα and IKK pathway in TRAMP mice. PLOS ONE, 10(9), e0138710.

Shukla, S., Kanwal, R., Shankar, E., Datt, M., Chance, M. R., Fu, P., … Gupta, S. (2015). Apigenin blocks IKKα activation and suppresses prostate cancer progression. Oncotarget, 6(31), 31216–31228.

Adhigan Murali | Polymer Science | Editorial Board Member

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Dr. Adhigan Murali | Polymer Science | Editorial Board Member

Research Professor | Sejong University | South Korea

Dr. Adhigan Murali is a dedicated researcher whose work bridges polymer science, nanomaterials, functional composites, and advanced material design, with a consistent focus on creating high-performance, multifunctional systems for real-world applications. His research spans sol–gel derived silica–clay nanocomposites for hydrophobic coatings, biomass-derived reinforcements for sustainable composites, and innovative polymer–nanomaterial hybrids tailored for mechanical, thermal, electrical, and responsive behaviors. He has contributed significantly to the development of biodegradable polyurethane–nanotube films, polymer-stabilized liquid crystal devices, and reinforced hydrogels capable of drug loading through engineered interactions, highlighting his talent for designing materials that merge structural robustness with functional adaptability. His work on carbon nanotube-grafted polymers, graphene-assisted radical polymerization, and fullerene-based designer materials reflects deep expertise in molecular engineering and surface modification strategies. He has also advanced the understanding of perovskite-enhanced polyurethane nanocomposites, semi-interpenetrating polymer networks, and viscoelastic behavior in CNT-impregnated systems, offering insights into improving stability and performance of next-generation materials. Dr. Murali’s contributions to green synthesis approaches, fungal-resistant polymer systems, and polymer–ferrite heterostructures for gas sensing demonstrate his commitment to sustainability and low-cost technological innovation. His influential reviews and studies on polymer-based solid-state electrolytes and nanoscale composite electrolytes underscore his growing impact on energy-storage materials. Professionally, he brings rich experience in multidisciplinary material design, polymer functionalization, nanocomposite fabrication, liquid-crystal device optimization, and advanced characterization techniques. Through collaborative and application-oriented research, he continues to drive progress in nanostructured materials, energy-relevant polymers, and smart composite technologies that contribute to safer, stronger, and more sustainable material solutions.

Profile: Google Scholar

Featured Publications

KMS Meera, R. M. Sankar, A. Murali, S. N. Jaisankar, & A. B. Mandal. (2012). Sol–gel network silica/modified montmorillonite clay hybrid nanocomposites for hydrophobic surface coatings. Colloids and Surfaces B: Biointerfaces, 90, 204–210.

Murali, A., Sakar, M., Priya, S., Vijayavarman, V., Pandey, S., Sai, R., Katayama, Y., … (2022). Insights into the emerging alternative polymer-based electrolytes for all solid-state lithium-ion batteries: A review. Materials Letters, 313, 131764.

Thangavelu, S. A. G., Murali, A., Sharanya, M., Jaisankar, S. N., & Mandal, A. B. (2018). Studies on biodegradable polyurethane-SWCNTs nanocomposite films by covalent approach: Physicochemical, electric and mechanical properties. Applied Surface Science, 449, 745–754.

Krishna Prasad, S., Baral, M., Murali, A., & Jaisankar, S. N. (2017). Carbon nanotube reinforced polymer-stabilized liquid crystal device: Lowered and thermally invariant threshold with accelerated dynamics. ACS Applied Materials & Interfaces, 9(31), 26622–26629.

Sankar, R. M., Meera, K. M. S., Samanta, D., Murali, A., Jithendra, P., Mandal, A. B., … (2012). The reinforced hydrogel for drug loading: Immobilization of single-walled carbon nanotubes in cross-linked polymers via multiple interactions. RSC Advances, 2(32), 12424–12430.

Bagher Eftekhari Sis | Nanomaterials | Editorial Board Member

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Prof. Dr.  Bagher Eftekhari Sis | Nanomaterials | Editorial Board Member

Faculty Member| University of Maragheh| Iran

Prof. Dr. Bagher Eftekhari Sis is an accomplished chemist whose research integrates heterocyclic chemistry, organic synthesis, nanoscale materials, and advanced sensing technologies. His work focuses on the synthetic utility of dicarbonyl compounds to create diverse heterocyclic frameworks with applications spanning catalysis, materials science, and chemical biology. He has made significant contributions to designing supported catalysts, polymeric systems, and nanomaterials, particularly quantum dots and nanosensors, enabling innovative solutions for bioimaging and analytical detection. His interdisciplinary expertise bridges classical organic chemistry with emerging nanotechnologies, resulting in a strong research portfolio that advances both fundamental understanding and practical application of functional materials. Prof. Eftekhari-Sis has led and collaborated on projects involving the development of efficient, sustainable synthetic methodologies and the engineering of smart nano-architectures with high sensitivity, selectivity, and biocompatibility. His scientific output includes impactful publications covering novel reaction pathways, green synthetic strategies, multifunctional nanostructures, and sensor platforms tailored for chemical and biological analytes. As a faculty member in a leading chemistry department, he has contributed extensively to mentoring young researchers, expanding laboratory capabilities, and fostering a research environment that supports innovation and interdisciplinary collaboration. His expertise in combining organic transformations with advanced material design positions him as a key contributor to contemporary research in nanosensors, quantum dots, and functional heterocycles, with applications ranging from biomedical imaging to environmental monitoring. His research continues to inform the development of next-generation molecular and nanoscale tools that address global scientific and technological challenges.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Zifar, M., Panahi, H. A., Daghighi Asli, M., Eftekhari-Sis, B., & Rafiee, A. (2023). Fabrication of pH and thermosensitive polymer conjugated tungsten disulfide for photo-thermal prostate cancer therapy under near-infrared laser irradiation: In vitro cytotoxicity study. European Polymer Journal, 186, 112066.

Latifi Rad, S., Eftekhari-Sis, B., Vahdati-Khajeh, S., Zirak, M., & Safin, D. A. (2023). Gold nanoparticles immobilized on N-doped ordered mesoporous carbon: An efficient catalyst for A3 and KA2 coupling reactions. Applied Organometallic Chemistry, 37(4), e7059.

Yavari, K., Eftekhari-Sis, B., & Akbari, A. (2021). Synthesis and application of silver and cobalt nanoparticles immobilized on ionic liquid-functionalized halloysite nanotubes in the reduction of 4-nitrophenol in aqueous solution. Nano, 16(8), 2150089.

Rahimkhoei, V., Akbari, A., Zirak, M., & Eftekhari-Sis, B. (2020). Ag nanoparticles stabilized on cubic polyhedral oligomeric silsesquioxane cross-linked poly(N-isopropyl acrylamide-co-itaconic acid): An efficient catalyst for 4-nitrophenol reduction. Functional Materials Letters, 13(10), 2051040.

Rezazad, H., Vahdati-Khajeh, S., & Eftekhari-Sis, B. (2020). Egg yolk biomass derived carbon material as a highly efficient and reusable hydrophobic oil-absorbent. Journal of Porous Materials, 27(5), 1315–1324.

Sachin Mishra | Materials Science | Editorial Board Member

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Dr. Sachin Mishra | Materials Science | Editorial Board Member

Principal Investigator | University of Rovira I Virgilli | Spain

Dr. Sachin Mishra is a multidisciplinary researcher whose work lies at the intersection of biosensors, nanomaterials, smart biomaterials, and advanced capacitive sensing technologies. His research focuses on creating innovative, application-driven sensor systems that address emerging needs in healthcare diagnostics, environmental monitoring, and bioanalytical engineering. Through his expertise in nanotechnology and functional material design, he develops highly sensitive, miniaturized platforms capable of detecting chemical and biological analytes with exceptional precision. His contributions include the integration of nanostructured materials into next-generation biosensing interfaces, enabling improved signal transduction, enhanced biocompatibility, and superior device performance. He has been actively involved in academic and industrial research environments in different countries, collaborating with interdisciplinary teams to translate fundamental nanoscience into real-world technologies. His work emphasizes capacitive biosensors and engineered biomaterials that support label-free, rapid, and cost-effective analytical solutions for global challenges. Dr. Mishra’s scientific output spans high-quality publications, collaborative projects, and contributions to the development of smart, responsive materials for biomedical and electronic applications. His professional experience also includes leading research directions, supervising experimental activities, and advancing sensor fabrication techniques through micro- and nano-engineering approaches. He remains committed to exploring the potential of nanotechnology to revolutionize biosensing platforms, expand the capabilities of portable diagnostic devices, and contribute to smart healthcare and sustainable technological innovations worldwide.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Sharma, P. K., Kim, E. S., Mishra, S., Ganbold, E., Seong, R. S., Kaushik, A. K., … et al. (2021). Ultrasensitive and reusable graphene oxide-modified double-interdigitated capacitive (DIDC) sensing chip for detecting SARS-CoV-2. ACS Sensors, 105.

Razlansari, M., Ulucan-Karnak, F., Kahrizi, M., Mirinejad, S., Sargazi, S., … Mishra, S., et al. (2022). Nanobiosensors for detection of opioids: A review of latest advancements. European Journal of Pharmaceutics and Biopharmaceutics, 179, 79–94.

Mishra, S., Kim, E. S., Sharma, P. K., Wang, Z. J., Yang, S. H., Kaushik, A. K., Wang, C., … et al. (2020). Tailored biofunctionalized biosensor for the label-free sensing of prostate-specific antigen. ACS Applied Bio Materials, 3(11), 7821–7830.

Mishra, P., Lakshmi, G., Mishra, S., Avasthi, D. K., Swart, H. C., Turner, A. P. F., … et al. (2017). Electrocatalytic biofuel cell based on highly efficient metal–polymer nano-architectured bioelectrodes. Nano Energy, 39, 601–607.

Sharma, P. K., Kim, E. S., Mishra, S., Ganbold, E., Seong, R. S., Kim, Y. M., Jahng, G. H., … et al. (2022). Ultrasensitive probeless capacitive biosensor for amyloid beta (Aβ1-42) detection in human plasma using interdigitated electrodes. Biosensors and Bioelectronics, 212, 114365.