Tadele Buraka | Agricultural science | Editorial Board Member

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Assist. Prof. Dr. Tadele Buraka | Agricultural science | Editorial Board Member

Researcher | Addis Ababa University | Ethiopia

Assist. Prof. Dr. Tadele Buraka is an emerging scholar in environmental science with a focus on soil degradation, watershed dynamics, and land-use change impacts in Ethiopia’s vulnerable landscapes. His research advances the understanding of how shifting land-cover patterns influence soil erosion risks, hydrological processes, and ecological sustainability, particularly within highland watershed systems. Through the integration of GIS, remote sensing, geospatial modelling, and field-based assessments, he develops practical, data-driven insights that support sustainable land management and erosion mitigation strategies. His notable contribution includes examining soil erosion susceptibility in complex terrains, offering evidence-based recommendations for conserving natural resources and guiding policy interventions. His scientific work appears in recognized international journals and has received growing academic attention, reflected in citations from interdisciplinary research communities. In addition to his publication record, he collaborates with researchers across environmental geology, landscape ecology, and natural resource management, strengthening the multidisciplinary relevance of his work. He is committed to generating impactful knowledge that informs decision-making for climate-resilient agriculture, sustainable watershed planning, and environmental protection. His professional experience includes academic roles in teaching and research, where he mentors students, contributes to departmental research initiatives, and engages in community-focused environmental problem solving. Through his applied research, he aims to address pressing environmental challenges by linking scientific evidence with practical land management solutions, positioning his work as a valuable resource for scholars, practitioners, and policy developers working toward the sustainable use of Ethiopia’s natural resources.

Profile: Scopus

Featured Publication

Buraka, T,. (2024). Assessment of soil erosion risks in response to land-use and land-cover changes in Coka watershed, Southern Ethiopia. Geology, Ecology and Landscapes.

Chen Ru | Climate Change | Editorial Board Member

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Dr. Chen Ru | Climate Change | Editorial Board Member

Tsinghua University | China

Dr. Chen Ru is a scholar specializing in ecological economics, environmental management, and climate-related sustainability transitions, with research spanning carbon footprint analysis, agricultural sustainability, and policy-driven environmental performance. His work offers influential insights into how production systems particularly agricultural and food sectors interact with carbon emissions, climate risk, and broader environmental impacts. He has contributed substantially to advancing carbon footprint methodologies, especially through investigations of variable system boundaries, total factor productivity perspectives, and greenhouse gas accounting frameworks across diverse socio-ecological contexts. His studies explore whether agricultural production functions as a carbon sink or source, evaluate climate-neutral pathways for regional agricultural systems, and assess the carbon effects of modern agricultural cooperatives. Beyond agricultural systems, he has examined links between stringent environmental regulations, air pollution, and corporate innovation, revealing how policy design shapes organizational response and environmental outcomes. His research also addresses the role of compensation policies, cooperation mechanisms, and government intervention in enhancing farmers’ livelihood resilience, mitigating risk shocks, and improving cooperative performance under carbon-constrained conditions. Through interdisciplinary approaches blending ecological indicators, cleaner production principles, and environmental policy analysis, Dr. Chen provides actionable knowledge that bridges scientific assessment and real-world decision-making. His scholarly contributions support more sustainable production models, improved environmental governance, and enhanced climate resilience, positioning him as an important voice in the evolution of ecological sustainability and low-carbon development strategies.

Profile: Google Scholar

Featured Publications

Chen, R. (2024). Carbon footprint assessment of agricultural production systems under the variable system boundary scenarios. In Carbon Footprint Assessments: Case Studies & Best Practices (pp. 201–236).

Chen, R., & Kong, Y. (2022). Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system. Ecological Indicators, 144, 109540.

Chen, R., & Kong, Y. (2023). A comprehensive review of greenhouse gas based on subject categories. Science of The Total Environment, 866, 161314.

Chen, R., Zhang, R., & Han, H. (2021). Where has carbon footprint research gone? Ecological Indicators, 120, 106882.

Chen, R., Zhang, R., Han, H., & Jiang, Z. (2020). Is farmers’ agricultural production a carbon sink or source?–Variable system boundary and household survey data. Journal of Cleaner Production, 266, 122108.

Shamsa Jabeen | Microbiology | Editorial Board Member

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Mrs. Shamsa Jabeen | Microbiology | Editorial Board Member

Researcher | University of the Punjab | Pakistan

Mrs. Shamsa Jabeen is a zoology researcher whose work centers on probiotic biology, toxicology, and organismal health, with a particular focus on beneficial microbes, natural bioactive compounds, and their restorative effects on animal physiology. Her research contributions span histopathology, microbial applications, and experimental models that explore how locally isolated Lactobacillus species improve growth performance, muscle regeneration, bone development, intestinal health, and enzymatic responses in mammals and aquatic organisms. She has also contributed substantially to understanding the protective potential of Syzygium cumini fruit extracts against fluoride-induced toxicity, demonstrating their ameliorative effects on testis tissue, hepato-nephronal systems, neuromotor activity, erythrocyte integrity, and bone structure in mice. Her studies extend to the growth and health of honeybees and fish through the use of probiotics and organic acids, reflecting an applied interest in enhancing productivity and resilience across species. She has explored the biochemical optimization, acid-bile tolerance, and colony-forming dynamics of Lactobacillus strains, advancing knowledge relevant to functional foods and microbial therapeutics. Her work in food microbiology also includes identifying endospore-forming bacteria in milk and assessing their implications for quality and safety. With publications across zoology, nutrition, food bioscience, and biotechnology, she brings multidisciplinary insight into how microbial and plant-derived interventions can support physiological recovery, performance, and overall organismal well-being. Her research trajectory highlights an integrative approach linking microbiology, animal science, and natural product therapeutics to promote health, sustainability, and improved biological outcomes across systems.

Profiles: Scopus | Google Scholar

Featured Publications

Ahmad, K. R., Nauroze, T. N., Raees, K. R., Abbas, T. A., & others. (2012). Protective role of jambul (Syzygium cumini) fruit-pulp extract against fluoride-induced toxicity in mice testis: A histopathological study. Journal name unavailable.

Hasan, A., Qazi, J. I., Muzaffer, N., Jabeen, S., & Hussain, A. (2022). Effect of organic acids and probiotics on growth of Apis mellifera workers. Pakistan Journal of Zoology, 54(6), 2577–2583.

Ahmad, K. R., Noor, S., Jabeen, S., Nauroze, T., Kanwal, M. A., Raees, K., & Abbas, T. (2017). Amelioration by jambul fruit extract of fluoride-induced hepato-nephronal histopathologies and impaired neuromotor capacity in mice. Fluoride, 50(1), 2–?. (Page range incomplete.)

Sharif, A., Ahmed, E., Munawar, M. A., Jabeen, S., Khan, M. A., Begum, R., & others. (2011). Facile syntheses of bioactive 5-arylidenethiobarbituric acids. Journal of the Chemical Society of Pakistan, 33, xx–xx. (Page range unavailable.)

Jabeen, S., & Qazi, J. I. (2023). Oral administration of a locally isolated Lactobacillus rhamnosus (NR_113332.1) improves regeneration of extensor digitorum longus muscle in mice. Nutrition, 114, 112110.

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.

Profile: Google Scholar

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.

Profile: Google Scholar

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.