Sivaprakasam Palani | Optimization | Editorial Member

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Assoc. Prof. Dr. Sivaprakasam Palani | Optimization | Editorial Member 

Assoc. Prof. Dr. Sivaprakasam Palani | Addis Ababa Sycience and Technology Universit | Ethiopia 

Assoc. Prof. Dr. Sivaprakasam Palani affiliated with Sri Vasavi College in Erode, India, is an emerging researcher whose academic contributions span technology-driven innovations, particularly in the domain of blockchain applications for data management. With 5 scholarly documents indexed in Scopus and 48 citations, he has established a growing presence in the research community, supported by an h-index of 3, reflecting impactful and consistently referenced work. His research interests include modern data-management approaches, distributed systems, and advanced computational frameworks, with notable involvement in exploring Blockchain Technology in Data Management, which highlights his focus on secure, transparent, and scalable digital ecosystems. His collaborative efforts with multiple co-authors further illustrate his engagement in interdisciplinary research aimed at addressing contemporary technological challenges.

Profiles: Scopus | Orcid

Featured Publications: 

Srinivasan Senthil Kumar, M. P. Sudeshkumar, C. Ezilarasan, S. Palani, & J. Veerasundaram. (2021). Modelling and simulation of machining attributes in dry turning of aircraft materials Nimonic C263 using CBN. Manufacturing Review. DOI: 10.1051/mfreview/2021030

J. Udaya Prakash, P. Sivaprakasam, I. Garip, S. Jebarose Juliyana, G. Elias, G. Kalusuraman, I. Colak, & K. Sathasivam. (2021). Wire electrical discharge machining (WEDM) of hybrid composites (Al-Si12/B4C/fly ash). Journal of Nanomaterials. DOI: 10.1155/2021/2503673

S. Ananth, P. Sivaprakasam, J. Udaya Prakash, P. Maheandera Prabu, V. Perumal, G. Kalusuraman, & K. Sathasivam. (2021). Tribological behavior and surface characterization of gray cast iron-EN31 steel under lubricated sliding conditions. Journal of Nanomaterials. DOI: 10.1155/2021/7725959

P. Sivaprakasam, P. Maheandera Prabu, M. Srinivasan, S. Balakrishnan, V. S. Karthikeyan, M. C. P. Selvan, & K. Sathasivam. (2021). Analysis of ethanol to reduce solid particle pollution in SI engines. Journal of Nanomaterials. DOI: 10.1155/2021/2726645

P. Maheandera Prabu, P. Sivaprakasam, V. Perumal, S. C. Kim, P. Balasubramani, S. Santosh Kumar, & K. Sathasivam. (2021). Emission measurement analysis of sapodilla seed oil blending fueled IC engine. Journal of Nanomaterials. DOI: 10.1155/2021/2385356

Mitra Alidoosti | Network Security and Privacy | Editorial Member

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Dr. Mitra Alidoosti | Network Security and Privacy | Editorial Member 

Dr. Mitra Alidoosti | IUST | Iran

Dr. Mitra Alidoosti is a computer engineering researcher specializing in web application security, network security, and business-layer vulnerability analysis, contributing extensively to the advancement of dynamic security testing methods. Her work focuses on detecting complex logical vulnerabilities such as race conditions, session puzzling, and business-layer DoS attacks through innovative black-box and dynamic analysis approaches. She has authored multiple ISI and ISC-indexed publications in reputable journals, addressing web resiliency, semantic security testing, and SIP vulnerability assessment, along with several conference papers on secure protocol design, web penetration testing, and multi-step vulnerability detection. Her expertise spans penetration testing, secure architectural design, and process mining for web applications, supported by deep experience in security frameworks, protocol analysis, and automated testing tools. With 97 citations, an h-index of 5, and an i10-index of 2, she continues to contribute significant research in strengthening the security and reliability of complex web and communication systems.

Profiles: Google Scholar

Featured Publications: 

Mirjalili, M., Nowroozi, A., & Alidoosti, M. (2014). A survey on web penetration test. Advances in Computer Science: An International Journal, 3(6), 107–121.

Alidoosti, M., Nowroozi, A., & Nickabadi, A. (2020). Evaluating the web-application resiliency to business-layer DoS attacks. ETRI Journal, 42(3), 433–445.

Alidoosti, M., & Nowroozi, A. (2020). BLProM: A black-box approach for detecting business-layer processes in the web applications. Journal of Computing and Security (JCS), 6(2), 65–80.

Alidoosti, M., Asgharian, H., & Akbari, A. (2013). Security framework for designing SIP scanner. In 2013 21st Iranian Conference on Electrical Engineering (ICEE) (pp. 1–5).

Alidoosti, M., Nowroozi, A., & Nickabadi, A. (2022). Semantic web Racer: Dynamic security testing of the web application against race condition in the business layer. Expert Systems with Applications, 195, 116569.

Muhammad Shahzad | General Relativity and Cosmology | Editorial Member

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Assi. Prof. Dr. Muhammad Shahzad | General Relativity and Cosmology | Editorial Member

Assi. Prof. Dr. Muhammad Shahzad | University of OKara | Pakistan

Assi. Prof. Dr. Muhammad Shahzad is a mathematician specializing in general relativity, black hole thermodynamics, nonlinear differential equations, and geometric methods in theoretical physics, with strong contributions to particle dynamics, thermodynamical geometries, accretion processes, and modified gravity theories. His research spans exact solutions of nonlinear models, conformal and braneworld black holes, higher-order entropy corrections, and the thermodynamical behavior of astrophysical systems, leading to more than 75 cumulative impact factor and publications in high-ranking journals such as Physical Review D, European Physical Journal C, Physics of the Dark Universe, Chinese Physics C, and Nuclear Physics B. He has delivered numerous invited talks and contributed to international conferences on gravitation, cosmology, and mathematical physics, while also serving as a keynote speaker, session moderator, and active participant in research schools and workshops. Dr. Shahzad has supervised over twenty MS theses and is currently supervising PhD researchers, reflecting a strong academic leadership profile. His scholarly influence is supported by 718 citations, an h-index of 15, and an i10-index of 23(Google Scholar), demonstrating a consistent impact in the fields of mathematical physics and gravitational studies.

Profile: Google Scholar

Featured Publications: 

Shahzad, M. U., Rehman, H. U., Awan, A. U., Zafar, Z., Hassan, A. M., & Iqbal, I. (2023). Analysis of the exact solutions of nonlinear coupled Drinfeld–Sokolov–Wilson equation through ϕ6-model expansion method. Results in Physics, 106771.

Shahzad, M. U., Asjad, M. I., Nafees, S., & Rehman, H. U. (2022). Study of thermodynamical geometries of conformal gravity black hole. The European Physical Journal C, 82(11), 1–11.

Shahzad, M. U., et al. (2022). Motion of particles around time conformal dilaton black holes. Symmetry, 14(10), 2033.

Shahzad, M. U., & Nosheen, L. (2022). Some remarks on criticality and thermodynamics of the dynamic phantom AdS black holes. The European Physical Journal C, 82(5), 1–15.

Shahzad, M. U., Jawad, A., Ali, F., & Abbas, G. (2021). Dynamics of particle near time conformal slowly rotating Kerr black hole. Chinese Journal of Physics, 77, 620.

 

 

Tadele Assefa Aragaw | Environmental Engineering | Editorial Member

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Mr. Tadele Assefa Aragaw | Environmental Engineering | Editorial Member 

Mr. Tadele Assefa Aragaw | Bahir Dar Institute of Technology, Bahir Dar University | Ethiopia 

Mr. Tadele Assefa Aragaw is a highly cited environmental science researcher with 2,725 Scopus citations and extensive contributions across pollution analysis, biodegradation, and sustainable waste management. His work spans microplastic contamination, pollutant biodegradation, environmental biotechnology, and public sustainability practices. He has authored 49 publications with an h-index of 25, reflecting strong scholarly impact. His recent studies include public compliance with Ethiopia’s single-use plastic ban, microplastic occurrence in urban water bodies, biodegradation pathways for polycyclic aromatic hydrocarbons, and the environmental potential of Halomonas species for industrial dye wastewater treatment. Mr. Tadele Assefa Aragaw research integrates advanced environmental monitoring, microbial processes, and ecological risk assessment, contributing significantly to global efforts in pollution mitigation, circular economy practices, and sustainable environmental management.

Profiles: Scopus | Orcid 

Rajeev Tiwari | Next generation communication networks | Editorial Member

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Prof. Dr. Rajeev Tiwari  | Next generation communication networks | Editorial Member

Prof. Dr. Rajeev Tiwari  | University of Petroluem and Energy Studies  | India

Prof. Dr. Rajeev Tiwari i has established a strong academic presence in artificial intelligence, deep learning, next-generation networks, fogedge computing, healthcare informatics, and smart agriculture, supported by 2327 citations, an h-index of 25, and an i10-index of 50. Their contributions span intelligent systems for agriculture, medical diagnostics, cybersecurity, vehicular analytics, and IoT-integrated environments. Notable works include hybrid CNN frameworks for leaf disease recognition, ensemble-based lung cancer diagnosis, Alzheimer’s disease detection models, and deep learning architectures for traffic density estimation and fake review identification. They have also advanced efficient routing in wireless sensor networks, content-centric networking optimization, and IoT-enabled automation in irrigation, parking, and toll management. Their research demonstrates a consistent focus on practical, high-impact solutions that bridge machine learning with real-world applications, contributing significantly to modern AI-driven systems across healthcare, agriculture, smart cities, and cloud-edge ecosystems.

Profile: Google Scholar

Featured Publications: 

Kaur, P., Harnal, S., Tiwari, R., Upadhyay, S., Bhatia, S., Mashat, A., & Alabdali, A. M. (2022). Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction. Sensors, 22(2), 575.

Mittal, U., Chawla, P., & Tiwari, R. (2023). EnsembleNet: A hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models. Neural Computing and Applications, 35(6), 4755–4774.

Bathla, G., Singh, P., Singh, R. K., Cambria, E., & Tiwari, R. (2022). Intelligent fake reviews detection based on aspect extraction and analysis using deep learning. Neural Computing and Applications, 34(22), 20213–20229.

Verma, P., Tiwari, R., Hong, W. C., Upadhyay, S., & Yeh, Y. H. (2022). FETCH: A deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis. IEEE Access, 10, 12548–12563.

Mishra, D., Khan, A., Tiwari, R., & Upadhay, S. (2018). Automated irrigation system—IoT based approach. 2018 3rd International Conference on Internet of Things: Smart Innovation, (pages not provided).

Pardeep Kumar | Network Security and Privacy | Editorial Member

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Assi. Pro. Dr. Pardeep Kumar | Network Security and Privacy | Editorial Member

Assi. Pro. Dr. Pardeep Kumar | Anurag University | India 

Assi. Pro. Dr. Pardeep Kumar is an active researcher in artificial intelligence, machine learning, cybersecurity, edge computing, and intelligent healthcare systems, with contributions spanning advanced encryption, blockchain-based medical systems, wireless sensor networks, Industry 4.0 security, medical data privacy, and applied data analytics. His work includes notable studies on lightweight privacy-preserving mechanisms using elliptic curve cryptography, AI-driven optimization for edge-computing federations, clinical data analysis, smart agriculture using IoT, adaptive image enhancement, and machine-learning-based fault prediction. He has also contributed patents in medical and pollution-monitoring technologies, along with research on distributed agile software development, cloud resource sharing, and neural-network-driven secure communication systems. With 247 Scopus citations, 13 Scopus-indexed documents, and an h-index of 6, his research demonstrates a consistent impact across interdisciplinary computing domains, particularly in secure intelligent systems and data-driven solutions.

Profiles: Scopus | Orcid 

Featured Publications : 

Behaviour-constrained support vector machines for fMRI data analysis. (2023). AIP Conference Proceedings. DOI: 10.1063/5.0109861.

Certain investigation of clinical nursing analysis and the embedded web medical system. (2022). Journal of Pharmaceutical Negative Results.

A decentralized secured grid integration system using APEBC technique with multi access AI framework. (2022). Sustainable Computing: Informatics and Systems. DOI: 10.1016/j.suscom.2022.100777.

Multi-objective optimization of AI driven mechanism algorithm for dynamic application deployment in federations of edge computing. (2022). NeuroQuantology.

Task allocation in distributed agile software development using machine learning approach. (2021). International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON). DOI: 10.1109/centcon52345.2021.9688114.

Majid Forghani-Elahabad | Network optimization and Reliability | Editorial Board Member

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Prof. Dr. Majid Forghani-Elahabad | Network optimization and Reliability | Editorial Board Member

Prof. Dr. Majid Forghani-Elahabad | Federal University of ABC | Brazil

Prof. Dr. Majid Forghani-Elahabad is an active researcher affiliated with the Universidade Federal do ABC, Brazil, with a strong contribution record in computational modeling, network reliability, optical communication systems, and algorithmic optimization. With 602 Scopus citations across 294 documents, 34 publications, and an h-index of 16, his work spans multistate flow network reliability, all-optical DWDM network strategies, and innovative algorithm design for big data applications. His recent research includes cost-constrained reliability assessment models for complex flow networks, optimization of path-selection techniques in high-capacity optical networks, and logarithmic prime number–based algorithms for efficient sorting and duplicate elimination. His multidisciplinary contributions reflect a strong analytical foundation, advancing both theoretical and applied aspects of network modeling, data processing, and intelligent computational solutions.

Profiles: Scopus | Google Scholar

Featured Publications :

Forghani-elahabad, M., Mahdavi-Amiri, N. (2014). A new efficient approach to search for all multi-state minimal cuts. IEEE Transactions on Reliability, 63 (1), 154-166.

Forghani-elahabad, M., Bonani, L. H. (2017). Finding all the lower boundary points in a multistate two-terminal network. IEEE Transactions on Reliability, 66 (3), 677-688.

Forghani-elahabad, M., Kagan, N. (2019). Reliability evaluation of a stochastic-flow network in terms of minimal paths with budget constraint. IISE Transactions, 51 (5), 547-558.

Forghani-elahabad, M., Kagan, N., Mahdavi-Amiri, N. (2019). An MP-based approximation algorithm on reliability evaluation of multistate flow networks. Reliability Engineering & System Safety, 191, 106566.

Forghani-elahabad, M., Mahdavi-Amiri, N. (40). An improved algorithm for finding all upper boundary points in a stochastic-flow network. Applied Mathematical Modelling, 40 (4), 3221-3229.

 

Sathiyandrakumar Srinivasan | Network Security | Editorial Board Member

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Mr. Sathiyandrakumar Srinivasan | Network Security | Editorial Board Member

Mr. Sathiyandrakumar Srinivasan | V2 Technologies Inc | United States

Mr. Sathiyandrakumar Srinivasan is an active researcher associated with the Kalasalingam Academy of Research and Education. His scholarly contributions span  research publications, supported by 140 Scopus citations from 19 citing documents, reflecting measurable impact within his research domain. His work demonstrates consistent engagement with emerging scientific problems and collaborative scholarship,  With an h-index of 7, his research outputs show developing influence and continued citation growth, indicating early yet meaningful contributions to the field. His publications, documented within Scopus, highlight his involvement in contemporary academic investigations and his ability to contribute to multi-author, interdisciplinary studies. Overall, his research trajectory positions him as a steadily growing scholar whose work continues to gain recognition through increasing citations and academic reach.

Profile: Scopus | Google Scholar 

Featured Publications : 

Raman, R., Kantari, H., Gokhale, A. A., Elangovan, K., Meenakshi, B., … (2024). Agriculture yield estimation using machine learning algorithms. 2024 International Conference on Automation and Computation (AUTOCOM), 187-191.

Srinivasan, S., Deepalakshmi, P. (2023). Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning. Measurement: Sensors, 25, 100624.

Srinivasan, S., Saravanan, T. R., Ithayan, J. V., Ganesh, E. N., Devi, A. S. (2023). Unleashing the potential of IoT in tackling ocean pollution: A data-driven approach for marine ecosystem conservation. 2023 Second International Conference on Smart Technologies for Smart Nation, 31.

Lakshmi, V. V., Giriprasad, S., Vimal, S. P., Kantari, H., Meenakshi, B., … (2024). Wind power forecasting with support vector machines using sparrow search algorithm. 2024 2nd International Conference on Computer, Communication and Control, 29.

Srinivasan, S., Raman, R., Thacker, C. B., Shrivastava, A. (2023). Smart crosswalk management with vehicle-to-pedestrian communication. 2023 International Conference on Sustainable Communication Networks and Applications, 25.

Xinran Li | Artificial Intelligence | Editorial Board Member

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Dr. Xinran Li | Artificial Intelligence  | Editorial Board Member

Dr. Xinran Li | University of Shanghai for Science and Technology | China

Dr. Xinran Li is an active researcher specializing in multimedia information security, perceptual image hashing, information hiding, and artificial intelligence security. She has established a strong publication record with more than twenty peer-reviewed papers, including fifteen SCI-indexed works and multiple IEEE Transactions publications. Her contributions span robust perceptual hashing, encrypted-domain image hashing, steganography analysis, secure multimedia processing, and feature-fusion methods for image authentication. She has participated in several funded research projects and maintains interdisciplinary collaborations reflected through co-authored journal and conference papers. Her work has earned over forty citations, demonstrating growing global impact. She serves as a reviewer for high-quality venues and is a member of prominent professional societies, contributing to ongoing advancements in secure multimedia computing.

Profile: Orcid 

Featured Publications: 

Xinran Li, & Zichi Wang. (2024). Vaccine for digital images against steganography. Scientific Reports, 14(1), 21340.

Xinran Li, Zichi Wang, Guorui Feng, Xinpeng Zhang, & Chuan Qin. (2024). Perceptual image hashing using orthogonal moments feature fusion. IEEE Transactions on Multimedia, 26, 10041–10054.

Xinran Li, Chuan Qin, Zichi Wang, Zhenxing Qian, & Xinpeng Zhang. (2022). Unified performance evaluation method for perceptual image hashing. IEEE Transactions on Information Forensics and Security, 17, 1404–1419.

Xinran Li, Mengqi Guo, Zichi Wang, & Chuan Qin. (2024). Robust image hashing in encrypted domain. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1), 670–683.

Zichi Wang, Xinpeng Zhang, & Xinran Li. (2025). Untraceable steganography: Towards the anonymity of steganographer. IEEE Signal Processing Letters, 32, 956–960.

Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

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Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Obuda University | Hungary

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab is an active researcher with 134 citations across 100 documents, producing 28 scholarly publications and holding an h-index of 8. His research spans computer networks, cybersecurity, distributed systems, big data, IoT, cloud computing, and advanced networking technologies, with notable contributions to network automation and programmable network environments. He has participated in multiple research and development initiatives involving P4Edge, UNKP-ELTE-IK, and EFOP-ELTE-IK, contributing to innovative solutions in software-defined networking, Linux systems, and Dev Net-based architectures. His work includes journal and conference publications addressing emerging Internet technologies, intelligent network management, and data-driven optimization methods. He has been involved in several academic and applied research projects, including training-oriented technology programs in Python, AWS, big data, and IoT systems, enriching both industry and academic communities. His research outputs demonstrate meaningful advancements in network security, digital infrastructure design, and scalable cloud services. He has also contributed through instructional roles supporting research capacity building in networking technologies and open-source systems. His achievements reflect significant research engagement, impactful citations, and ongoing contributions to contemporary computing and networking innovations.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications:

Ali, T. E., Ali, F. I., Dakić, P., & Zoltan, A. D. (n.d.). Trends, prospects, challenges, and security in the healthcare internet of things. Computing, 107(1), 28.

Alwahab, D. A., & Laki, S. (n.d.). A simulation-based survey of active queue management algorithms. Proceedings of the 6th International Conference on Communications and Networking.

Biró, C., & Kusper, G. (n.d.). Equivalence of strongly connected graphs and black-and-white 2-SAT problems. Miskolc Mathematical Notes, 19(2), 755–768.

Zaghar, D. (n.d.). Simplified the QoS factor for the ad-hoc network using fuzzy technique. International Journal of Communications, Network and System Sciences.

AlWahab, D. A., Gombos, G., & Laki, S. (n.d.). On a deep q-network-based approach for active queue management. Joint European Conference on Networks and Communications & 6G Summit.