Board Members
Editor-in-Chief
Dr. Satya Bhushan Verma
Role: Editor-in-Chief
Designation: Assistant Professor, Faculty of Engineering and Technology, University of Lucknow
Affiliation: Lucknow, Uttar Pradesh, India
Address: Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Second Campus, Jankipuram Extension, Lucknow, Uttar Pradesh, India
Area of Research: Blockchain Technology, Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, Cybersecurity, Digital Forensics, Internet of Things, Deep Learning, Pattern Recognition
Research Keywords: Blockchain, Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, Cybersecurity, IoT Security, Deep Learning, Pattern Recognition
Email: verma_satyabhushan@lkouniv.ac.in
Dr. Satya Bhushan Verma is an Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Lucknow, Uttar Pradesh, India. He holds a PhD associated with the National Institute of Technology Durgapur and has academic and research interests spanning artificial intelligence, machine learning, computer vision, image processing, blockchain technology, cybersecurity, digital forensics, Internet of Things, deep learning, pattern recognition, and intelligent computing. His scholarly work includes research on biometric systems, image-based analysis, blockchain-enabled systems, secure computing, artificial intelligence, and emerging computational technologies. He has contributed to journal articles, conference publications, book chapters, and other scholarly activities in computer science and engineering. In addition to teaching and research, Dr. Verma has participated in academic, editorial, peer-review, and professional activities. His interdisciplinary research profile reflects a particular emphasis on intelligent computing, security-oriented technologies, computer vision, and data-driven computational methods
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Associate Editors
Dr. Bineet Kumar Gupta
Role: Associate Editor
Designation: Professor
Affiliation: Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, India
Address: Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225003, India
Area of Research: Artificial Intelligence, Machine Learning, ICT, Computer Vision, Decision Making, Information Retrieval
Email: hod.ca@srmu.ac.in
Metrics: Citations: 627 | H-Index: 8
Dr. Bineet Kumar Gupta is a Professor at Shri Ramswaroop Memorial University, located on Lucknow-Deva Road, Barabanki, Uttar Pradesh, India. His academic and research interests encompass several areas of contemporary computer science and information technology, including Artificial Intelligence, Machine Learning, Information and Communication Technology (ICT), Computer Vision, Decision Making, and Information Retrieval. His research interests reflect an interdisciplinary engagement with intelligent computational systems, data-driven technologies, and advanced information-processing approaches. Through his academic role, he contributes to teaching, research, and scholarly activities associated with emerging developments in computing and intelligent technologies. His areas of expertise are particularly relevant to research involving machine intelligence, automated decision-support systems, computer-based visual analysis, and efficient retrieval and management of information. Dr. Gupta serves as an Editorial Board Member and contributes his academic and subject expertise to scholarly publishing activities within his areas of specialization.
Dr. Jasvant Kumar
Role: Associate Editor
Designation: Assistant Professor, Department of Computer Science and Engineering
Affiliation: Faculty of Engineering and Technology, University of Lucknow, Lucknow, Uttar Pradesh, India
Address: Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Second Campus, Jankipuram, Lucknow, Uttar Pradesh, India
Area of Research: Visual Cryptography, Cryptography, Visual Secret Sharing, Information Security, Steganography, Digital Image Watermarking
Research Keywords: Visual Cryptography, Visual Secret Sharing, Cryptography, Information Security, Image Security, Steganography, Digital Watermarking, Pattern Recognition
Email: er.jaswantsingh786@gmail.com
Metrics: Citations: 61 | H-Index: 5
Dr. Jasvant Kumar is an Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Uttar Pradesh, India. He earned his Ph.D. in Computer Science from the University of Lucknow, with research focused on visual cryptography and secret-sharing techniques for image security. His academic background also includes an M.Tech. in Computer Science and Engineering from Integral University and a B.Tech. in Computer Science and Engineering. His principal research interests include visual cryptography, visual secret sharing, information security, steganography, digital image watermarking, cryptography, and pattern recognition. His scholarly work has addressed secure image-sharing mechanisms, XOR-based visual secret-sharing schemes, progressive visual cryptography, and methods for improving the security and visual quality of reconstructed secret images. In addition to teaching and research, he has participated in academic conferences, workshops, faculty development activities, and other scholarly initiatives related to computer science, cybersecurity, image processing, and information security.
Dr. Shobhit Mani Tiwari
Role: Associate Editor
Designation: Assistant Professor, Faculty Member, Department of Computer Science and Engineering
Affiliation: Faculty of Engineering and Technology, University of Lucknow, Lucknow, Uttar Pradesh, India
Address: Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, Lucknow, Uttar Pradesh, India
Area of Research: Blockchain, Cryptography, Computer Networks, Computational Intelligence, Machine Learning
Research Keywords: Blockchain Technology, Cryptographic Algorithms, Network Security, Machine Learning, Computational Methods, Data Security
Email: smtewari.u2@gmail.com
Dr. Shobhit Mani Tiwari is an Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, University of Lucknow, India. His research interests include blockchain technology, cryptography, computer networks, computational methods, algorithm design, and machine learning. His academic work focuses on developing secure, intelligent, and efficient computational approaches for emerging challenges in information technology. His research areas involve the application of cryptographic techniques, distributed computing concepts, network security mechanisms, and machine-learning-based solutions for modern computing systems. He contributes to teaching, research, and academic activities in computer science and engineering while engaging with contemporary developments in secure and intelligent computing technologies.
Section Editors
Dr. Arijit Karati
Role: Section Editor
Designation: Associate Professor, Faculty Member, Department of Computer Science and Engineering
Affiliation: College of Electrical Engineering and Computer Science, National Sun Yat-sen University, Kaohsiung, Kaohsiung City, Taiwan
Address: EC9034, Electrical Engineering Building, No. 70, Lienhai Road, Kaohsiung 80424, Taiwan
Area of Research: Applied Cryptography, Cybersecurity, Automotive Security, Network Protection, Decentralized Data Privacy
Research Keywords: Cryptology, Authentication Protocols, Network Security, Privacy-Preserving Systems, IoT Security, Vehicular Security, Blockchain Security
Email: arijit.karati@mail.nsysu.edu.tw
Metrics: Publications: 55 | Citations: 1413
Dr. Arijit Karati is an Associate Professor in the Department of Computer Science and Engineering at National Sun Yat-sen University (NSYSU), Taiwan. He leads the Cryptology and Network Security Laboratory (CANSEC Lab) at NSYSU. His research focuses on applied cryptography, cybersecurity, network and communication protection, automotive security, and decentralized data privacy. His work involves the design of secure cryptographic protocols and privacy-preserving solutions for emerging computing environments, including vehicular communication systems, cloud and edge computing, and Internet of Things applications. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Indian School of Mines) Dhanbad, India, in 2018. Before joining as faculty, he worked as a Postdoctoral Researcher at the Department of Computer Science and Engineering, National Sun Yat-sen University. He contributes to academic research, teaching, peer-review activities, and professional services in the fields of cybersecurity and cryptographic technologies.
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Dr. Anurag Kumar
Role: Section Editor
Designation: Assistant Professor, Faculty Member, School of Computer Science Engineering & Applications
Affiliation: School of Computer Science Engineering & Applications (SoCSEA), D Y Patil International University, Pune, Pune, Maharashtra, India
Address: D Y Patil International University, Sector 29, Akurdi, Pune, Maharashtra, India
Area of Research: Image Processing, Artificial Intelligence, Machine Learning
Research Keywords: Machine Learning, Artificial Intelligence, Image Processing, Remote Sensing, Deep Learning, Computer Vision
Email: anurag.kumar@dypiu.ac.in
Dr. Anurag Kumar is an Assistant Professor at D Y Patil International University, Pune, India. His research interests include image processing, artificial intelligence, and machine learning. His academic work focuses on developing intelligent computational techniques for image analysis, data-driven modelling, and machine-learning-based applications. He is engaged in teaching and research activities related to emerging areas of computer science, including artificial intelligence, computer vision, and advanced computational methods. His research contributions involve the application of machine-learning approaches for solving practical problems in intelligent systems and data analysis.
Dr. Gonzalo De La Torre Parra
Role: Section Editor
Designation: Assistant Professor, Faculty Member, Cyber Security Systems
Affiliation: School of Mathematics, Science and Engineering, University of the Incarnate Word, San Antonio, Texas, United States
Address: Feik Hall G009, University of the Incarnate Word, 4301 Broadway, San Antonio, TX 78209, USA
Area of Research: Cyber Security Systems, Information Security
Research Keywords: Cybersecurity, Information Security, Machine Learning Security, Network Security, Deep Learning, Threat Detection
Email: gdparra@uiwtx.edu
Dr. Gonzalo De La Torre Parra is an Assistant Professor in Cyber Security Systems at the University of the Incarnate Word, San Antonio, Texas, USA. His research interests focus on cybersecurity, information security, and the development of intelligent approaches for protecting digital systems and networks. His scholarly work involves emerging security challenges, including cyber threat analysis, secure computing environments, and the application of advanced computational techniques for cybersecurity solutions. He contributes to teaching, research, and academic activities related to cybersecurity education, secure information systems, and modern protection mechanisms for digital infrastructures.
Editorial Board Members
Dr. Abhay Kumar Yadav
Role: Editorial Board Member
Designation: Post Doctoral Fellow, Research Fellow, Shri Ramswaroop Memorial University
Affiliation: National Institute of Technology Uttarakhand, Srinagar (Garhwal), Uttarakhand, India
Address: National Institute of Technology Uttarakhand, Srinagar Garhwal, Uttarakhand, India
Area of Research: Blockchain, Security, Network
Research Keywords: Blockchain Technology, Cybersecurity, Network Security, Data Privacy, Secure Computing, Distributed Systems
Email: abhaybbdnitm01@gmail.com
Dr. Abhay Kumar Yadav is a Post Doctoral Fellow associated with the National Institute of Technology Uttarakhand, India. His research interests include blockchain technology, security, and computer networks. His academic work focuses on emerging areas of secure computing, decentralized technologies, and network-oriented solutions. He is engaged in research activities related to improving security, privacy, and reliability in modern computational environments. His research interests cover blockchain-based systems, cybersecurity mechanisms, network protection approaches, and secure information processing.
Dr. Monika Tiwari
Role: Editorial Board Member
Designation: Assistant Professor, Shanti Business School,
Affiliation: Shanti Business School (Affiliated to Gujarat Technological University), , Ahmedabad, India
Area of Research: Artificial Intelligence, Machine Learning, Data Science, Prompt Engineering, Natural Language Processing.
Research Keywords: Artificial Intelligence, Machine Learning, Data Science, Prompt Engineering, Natural Language Processing.
Email: monikatiwari1493@gmail.com
Dr. Monika Tiwari is an Assistant Professor with a PhD in Machine Learning and academic and industry experience spanning teaching, research, software development, and technical consulting. She has expertise in Machine Learning, Artificial Intelligence, Java, C Programming, and related emerging technologies, and has guided UG and PG students in academic and project-based learning. She has served as UG Project Coordinator, Smart India Hackathon Coordinator, Departmental NAAC Coordinator, Mentoring Committee member, and Technical Committee member. Her research interests include Machine Learning, Explainable AI, Software Effort Estimation, Predictive Maintenance, Industrial IoT, and AI-driven applications. She has published and communicated research papers, contributed book chapters including work with Springer, served as a conference reviewer and expert speaker, and successfully hosted the International Conference on Data Driven Computing & Internet of Things (DDCIoT-2025). She holds a BCA, MCA, and PhD in Machine Learning, and is actively engaged in teaching, research, mentoring, and academic coordination.
Dr. Brijesh Kumar Pandey
Role: Editorial Board Member
Designation: Associate Professor, Faculty Member, Department of Computer Science and Engineering
Affiliation: School of Engineering / Computer Science Division, Goel Institute of Technology and Management, Lucknow, Uttar Pradesh, India
Address: Goel Institute of Technology and Management, Lucknow, Uttar Pradesh, India
Area of Research: Cloud Computing, Parallel/Distributed Systems
Research Keywords: Cloud Computing, Distributed Computing, Parallel Processing, Cloud Security, Computational Systems, Big Data Computing
Email: brijesh84academics@gmail.com
Dr. Brijesh Kumar Pandey is an Associate Professor associated with Goel Institute of Technology and Management, Lucknow, India. His research interests include cloud computing, parallel computing, and distributed systems. His academic work focuses on computational infrastructures, scalable computing environments, distributed resource management, and emerging technologies for efficient information processing. He contributes to teaching, research, and academic activities in the field of computer science and engineering, with particular interest in developing advanced computing solutions for modern technological challenges.
Dr. Koushikk Bhattacharyya
Role: Editorial Board Member
Designation: Assistant Professor, Head of Department, Department of Computer Science and Engineering
Affiliation: Engineering Department, Swami Vivekananda Institute of Science and Technology, Sonarpur, Kolkata, West Bengal, India
Address: Swami Vivekananda Institute of Science and Technology, Dakshin Gobindapur, Sonarpur, Kolkata, West Bengal, India
Area of Research: Artificial Intelligence, Deep Learning, Natural Language Processing, Robotics, Internet of Things, Quantum Computing
Research Keywords: Artificial Intelligence, Deep Learning, NLP, Robotics, IoT, Machine Learning, Data Science, Cybersecurity
Email: koushikk.bhattacharyya@ieee.org
Metrics: Citations: 86
Dr. Koushikk Bhattacharyya is an Assistant Professor and Head of the Department of Computer Science and Engineering at Swami Vivekananda Institute of Science and Technology, Kolkata, India. His research interests include artificial intelligence, deep learning, natural language processing, robotics, Internet of Things, and quantum computing. His academic work focuses on developing intelligent computational models and applying advanced machine-learning techniques to solve emerging problems in computer science and engineering. He contributes to teaching, research, and academic activities related to artificial intelligence-driven systems, data analysis, intelligent automation, and next-generation computing technologies.
Dr. Mohd. Saif Wajid
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Department of Computer Science and Engineering
Affiliation: School of Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India
Address: Babu Banarasi Das University, Faizabad Road, Lucknow, Uttar Pradesh, India
Area of Research: Machine Learning, Knowledge Graph, Digital Twin, Computer Vision
Research Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Knowledge Graphs, Digital Twins, Computer Vision, Data Science, NLP
Email: saif.wajid@bbdu.ac.in
Dr. Mohd. Saif Wajid is an Assistant Professor in the Department of Computer Science and Engineering at Babu Banarasi Das University, Lucknow, India. His research interests include machine learning, knowledge graphs, digital twins, computer vision, artificial intelligence, and data-driven computational systems. His research work focuses on developing intelligent models and computational approaches for applications involving machine learning, visual understanding, knowledge representation, and emerging digital technologies. He contributes to teaching, research, and academic activities in computer science and artificial intelligence-related domains.
Dr. Muthmainnah
Role: Editorial Board Member
Designation: Lecturer, Faculty Member, Faculty of Economics & Business
Affiliation: Faculty of Economics & Business, Universitas Muslim Indonesia (UMI), Makassar, South Sulawesi, Indonesia
Address: Faculty of Economics & Business, Universitas Muslim Indonesia, Makassar, South Sulawesi, Indonesia
Area of Research: ICT in Education, Technology-Enhanced Learning, Literary Studies, Digital Learning, EFL Education, Computer Science and Engineering (CSE), Artificial Intelligence, Machine Learning, Data Science, Software Engineering,
Research Keywords: ICT in Education, Technology-Enhanced Learning, Literary Studies, Digital Learning, EFL Education, Computer Science and Engineering (CSE), Artificial Intelligence, Machine Learning, Data Science, Software Engineering,
Email: muthmainnahunasman@gmail.com
Metrics: Publications: 80 | Citations: 1356 | H-Index: 18
Dr. Muthmainnah is a Lecturer associated with the Faculty of Economics & Business at Universitas Muslim Indonesia (UMI), South Sulawesi, Indonesia. Her research interests include ICT in Education, Technology-Enhanced Learning, Literary Studies, Digital Learning, EFL Education, Computer Science and Engineering (CSE), Artificial Intelligence, Machine Learning, Data Science, Software Engineering,, and ICT applications in Teaching and Foreign Language (TFL) contexts. Her scholarly work focuses on integrating digital technologies, artificial intelligence, and innovative pedagogical approaches to improve language learning and educational practices. She has contributed to research publications involving technology-supported learning, digital education, instructional models, and emerging educational technologies. Her academic activities include teaching, research, publication, and collaboration in the fields of education and technology-supported learning.
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Mhel Cedric D. Bendo
Role: Editorial Board Member
Designation: Assistant Professor, Researcher & Journal Editor, Department of Computer Science & Engineering
Affiliation: Polytechnic University of the Philippines–Maragondon Campus, Maragondon, Cavite, Philippines, Cavite, Philippines
Address: Balitaw St., Brgy Garita A, Poblacion 1A, Maragondon, Cavite, Philippines
Area of Research: Data Science
Research Keywords: Artificial Intelligence in Education; Educational Technology and Digital Learning; Online and Distance Learning; Learning Analytics; Educational Psychology and Assessment; Curriculum and Instruction; Digital Transformation; Financial Technology and Digita
Email: cedricbends@gmail.com
Mhel Cedric D. Bendo is a researcher, journal editor, and academic writer affiliated with the Polytechnic University of the Philippines–Maragondon Campus, with four years of research experience. His research interests encompass online and distance education, educational technology, artificial intelligence in education, educational psychology, curriculum and instruction, educational assessment, learning analytics, entrepreneurship, economics, FinTech, digital finance, digital transformation, and business and technology applications. His research experience includes quantitative, mixed-methods, quasi-experimental, and secondary-data research. He currently serves as Journal Editor and Editorial Board Member of the AfroMeridian Journal of Business and Management (AMJBM) and Founding Editor of the International Journal of TVET and Future Skills (IJTVET-FS). He also serves on the editorial boards of several academic journals and holds Section Editor appointments. Previously, he served as Technical Editor of the Journal of Student-Run Clinics (JSRC). In addition, he serves as a SciMatic Moderator and Country Coordinator for the United States and Kenya. He has served as a peer reviewer for more than 50 national and international peer-reviewed journals. His editorial and reviewing experience includes manuscript evaluation, methodological and statistical assessment, academic editing, and research quality assessment. He has also authored 17 research-informed commentaries, essays, and literary works addressing education, digital and media literacy, public discourse, culture, and social development, including works published in Philippine newspapers and media outlets such as the Manila Bulletin and the Philippine Daily Inquirer.
Dr. Nafis Tanveer Islam
Role: Editorial Board Member
Designation: Researcher, Research Fellow / Researcher, University of Amsterdam, Netherland
Affiliation: University of Amsterdam, Amsterdam, North Holland, Netherlands
Address: University of Amsterdam, Amsterdam, Netherlands
Area of Research: Cloud Computing, Data Communication and Networking, Machine Learning
Research Keywords: Cloud Computing, Distributed Systems, Computer Networks, Machine Learning, Data Communication, Artificial Intelligence
Dr. Nafis Tanveer Islam is a researcher associated with the University of Amsterdam, Netherlands. His research interests include cloud computing, data communication and networking, and machine learning. His academic work focuses on modern computational systems, intelligent data-driven approaches, distributed computing environments, and communication technologies. His research activities contribute to the development of efficient, secure, and scalable solutions for emerging challenges in computer science and information technology.
Dr. Nitya Nand Dwivedi
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Department of Computer Science and Information Systems
Affiliation: Computer Science & Information Systems, Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, India
Address: Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh - 225003
Area of Research: Data Communication and Networking, Machine Learning, Cloud Computing
Research Keywords: Computer Networks, Network Communication, Machine Learning, Cloud Computing, Distributed Systems, Network Performance Analysis
Email: nityananddwivedi.csis@srmu.ac.in
Metrics: Publications: 29 | Citations: 30
Dr. Nitya Nand Dwivedi is an Assistant Professor in the Department of Computer Science and Information Systems at Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, India. His research interests include data communication and networking, machine learning, cloud computing, network performance analysis, and distributed computing systems. His academic work focuses on computer networks, communication technologies, optimization approaches, and intelligent computational methods for modern information systems. He contributes to teaching, research, and academic activities in computer science and information technology, with particular emphasis on network-oriented computing and emerging computational techniques.
Peyman Najafirad (Paul Rad), PhD
Role: Editorial Board Member
Designation: Professor, Associate Dean for Research and Partnerships, Department of Computer Science
Affiliation: College of AI, Cyber and Computing, The University of Texas at San Antonio (UT San Antonio), San Antonio, Texas, United States
Address: SP1 310G, UT San Antonio, San Antonio, Texas, USA
Area of Research: Artificial Intelligence, AI Security, Knowledge Representation, Probabilistic Decision Making, Reinforcement Learning
Research Keywords: Artificial Intelligence, Machine Learning, AI Security, Reinforcement Learning, Knowledge Representation, Decision Making, Distributed Computing, Data Analytics
Email: Peyman.Najafirad@utsa.edu
Metrics: Publications: 102 | Citations: 3080 | H-Index: 28
Peyman Najafirad (Paul Rad), PhD, is a Professor of Computer Science and Associate Dean for Research and Partnerships at UT San Antonio. His research encompasses artificial intelligence, AI security, knowledge representation, probabilistic decision making, reinforcement learning, and intelligent autonomous systems. His work examines methods for developing trustworthy and secure AI systems and computational approaches for decision-making under uncertainty. His academic background includes a PhD in Electrical and Computer Engineering and an MS in Computer Science from the University of Texas at San Antonio, as well as graduate training in computer engineering and artificial intelligence. He contributes to interdisciplinary research connecting artificial intelligence, cybersecurity, machine learning, and advanced computational systems.
Dr. Pallavi Somvanshi
Role: Editorial Board Member
Designation: Associate Professor, Faculty Member, Computational and Integrative Sciences
Affiliation: School of Computational and Integrative Sciences (SC&IS), Jawaharlal Nehru University (JNU), New Delhi, Delhi, India
Address: Room No. 33, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi – 110067, India
Area of Research: Data Mining, Computational Sciences, Integrative Sciences
Research Keywords: Computational Sciences, Integrative Sciences
Email: psomvanshi@mail.jnu.ac.in
Metrics: Publications: 102 | Citations: 1543 | H-Index: 22
Dr. Pallavi Somvanshi is an Associate Professor in the School of Computational and Integrative Sciences at Jawaharlal Nehru University, New Delhi, India. She holds a PhD in Bioinformatics and an MSc in Microbiology. Her principal research interests encompass data mining, bioinformatics, omics, integrative biology, computational biology, and systems-level analysis of biological processes. Her research employs computational and bioinformatics approaches to investigate complex biological systems, including multi-omics data, biomolecular interactions, disease mechanisms, and molecular processes. Before joining JNU as an Associate Professor, she served at TERI School of Advanced Studies and held earlier academic and research appointments in biotechnology and bioinformatics. Her scholarly activities integrate computational methods with biological research to support improved understanding of molecular mechanisms, disease biology, and data-intensive life-science research.
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Dr. Piyush Pal
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Department of Mechanical Engineering
Affiliation: School of Engineering and Technology, Noida International University, Greater Noida, Uttar Pradesh, India
Address: Noida International University, Gautam Buddha Nagar, Uttar Pradesh, India
Area of Research: Mechanical Engineering; Solar Thermal Systems; Heat Transfer; Renewable Energy
Research Keywords: Solar Thermal Desalination, Heat Transfer, Thermal Engineering, Renewable Energy Systems, Solar Stills, Energy Efficiency, CFD, Exergy Analysis
Email: piyush.pal@niu.edu.in
Metrics: Publications: 13 | Citations: 492 | H-Index: 8
Dr. Piyush Pal is an Assistant Professor in the Department of Mechanical Engineering, School of Engineering and Technology, at Noida International University, India. He holds a PhD in Mechanical Engineering from MNNIT Allahabad, an ME in Mechanical Engineering from BITS Pilani, and a BTech in Mechanical Engineering. His research focuses on solar thermal systems, heat transfer, renewable energy, energy efficiency, and solar desalination technologies. His work includes theoretical, experimental, and computational investigation of modified solar still systems, together with exergy, exergoeconomic, and environmental performance analyses. He also works with computational and engineering tools such as MATLAB and ANSYS Fluent. His academic activities encompass undergraduate and postgraduate teaching, research supervision, technical training, conference participation, and scholarly publication in thermal engineering and renewable-energy applications.
Dr. Richa Verma
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Business Management
Affiliation: School of Business Management (SBM), Noida International University, Greater Noida, Uttar Pradesh, India
Address: Noida International University, Plot No. 1, Sector 17-A, Yamuna Expressway, Gautam Budh Nagar, Uttar Pradesh 201312, India
Area of Research: Data Science and Big Data Analytics, Digital Marketing and E-Commerce, Financial Technology (FinTech), Information Technology Management
Email: rvricha520@gmail.com
Metrics: Publications: 17 | Citations: 68
Dr. Richa Verma is an Assistant Professor in the School of Business Management at Noida International University, Greater Noida, India. She holds a PhD in Management, along with MBA and BBA qualifications, and has approximately ten years of academic experience. Her principal academic and research interests include Data Science and Big Data Analytics, Digital Marketing and E-Commercer, Information Technology Management, and Research Methodology. Her scholarly activities include research publication, conference participation, teaching, and professional development in management and human-resource-related disciplines. She has also completed faculty development and professional training programs and has contributed to national and international academic conferences. Her research increasingly addresses contemporary management practices and the application of emerging technologies within business and organizational contexts.
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Dr. Sunil Kumar Patel
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Department of Computer Science & Engineering
Affiliation: School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India
Address: Manipal University Jaipur, Jaipur-Ajmer Expressway, Jaipur, Rajasthan, India
Area of Research: Information Security, Data Science, Artificial Intelligence, Machine Learning, Image Processing
Research Keywords: Information Security, Machine Learning, Data Analytics, Artificial Intelligence, Image Processing, Pattern Recognition, Cyber Security
Email: sunil.patel@jaipur.manipal.edu
Dr. Sunil Kumar Patel is associated with the Department of Computer Science and Engineering at Manipal University Jaipur, India. His research interests include information security, data science, artificial intelligence, machine learning, and image processing. His academic work focuses on developing intelligent computational approaches, secure information systems, data-driven analysis techniques, and machine-learning-based solutions for emerging challenges in computer science. He contributes to teaching and research activities related to artificial intelligence, secure computing, and advanced data-processing methodologies.
Prof. Yusuf Perwej
Role: Editorial Board Member
Designation: Professor, Faculty Member, Department of Computer Science & Engineering
Affiliation: Shri Ramswaroop Memorial University (SRMU), Barabanki, Uttar Pradesh, India
Address: Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, Uttar Pradesh 225003, India
Area of Research: Soft Computing, Data Science, Big Data, Artificial Intelligence
Research Keywords: Soft Computing, Data Science, Big Data, Artificial Intelligence, Machine Learning, Neural Networks, IoT, Cloud Computing, Cybersecurity, Pattern Recognition
Email: yusufperwej@gmail.com
Metrics: Publications: 302 | Citations: 3775
Prof. Yusuf Perwej is a Professor in the Department of Computer Science & Engineering at Shri Ramswaroop Memorial University, Uttar Pradesh, India. He holds a PhD in Computer Science and Engineering, with doctoral research focused on neural-network-based pattern recognition for handwriting recognition. His academic and research interests encompass soft computing, data science, big data, artificial intelligence, machine learning, neural networks, Internet of Things, cloud computing, cybersecurity, and pattern recognition. His scholarly work addresses computational methods and emerging digital technologies across areas such as intelligent systems, information security, networking, and data-driven applications. He has contributed extensively to academic publishing and research in computer science and engineering and is involved in teaching, research, and scholarly activities at the university level.
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Dr. Yukti Varshney
Role: Editorial Board Member
Designation: Assistant Professor, Faculty Member, Department of Computer Science & Engineering
Affiliation: Computer Science & Engineering, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India
Address: Moradabad Institute of Technology, Ram Ganga Vihar, Phase-II, Moradabad, Uttar Pradesh – 244001, India
Area of Research: Deep Learning, Machine Learning, Agentic AI, Wireless Technology, Genetic Algorithms & Emerging Technologies
Research Keywords: Deep Learning, Machine Learning, Agentic AI, Wireless Technology, Genetic Algorithms & Emerging Technologies
Email: yuktivarshney16@gmail.com
Dr. Yukti Varshney is an Assistant Professor in the Department of Computer Science and Engineering at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Her research interests include deep learning, machine learning, artificial intelligence, agentic AI, wireless technology, and genetic algorithms. Her academic work focuses on developing intelligent computational models, learning-based approaches, and emerging technologies for solving problems in computer science and engineering. She contributes to teaching, research activities, technical training, and academic development in the areas of artificial intelligence and advanced computing technologies.
Advisory Board Members
Prof. Yixin Lu
Role: Advisory Board Member
Designation: Provost’s Chair Professor, Head of Department, Department of Chemistry
Affiliation: Faculty of Science, National University of Singapore, Singapore, Singapore
Address: Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543
Area of Research: Synthetic Organic Chemistry, Asymmetric Catalysis, Organic Synthesis, Medicinal Chemistry
Research Keywords: Organocatalysis, Asymmetric Phosphine Catalysis, Axial Chirality, Photoredox Catalysis, Transition-Metal Catalysis, Total Synthesis
Email: chmlyx@nus.edu.sg
Metrics: Publications: 214 | Citations: 14420 | H-Index: 67
Prof. Yixin Lu is Provost’s Chair Professor and Head of the Department of Chemistry at the National University of Singapore. His research focuses on synthetic organic chemistry, asymmetric catalysis and synthesis, medicinal chemistry, and the development of stereoselective catalytic methodologies. His current research interests include asymmetric phosphine catalysis, asymmetric construction of axial chirality, photoredox-organocatalytic and transition-metal cooperative catalysis, total synthesis, and transition-metal catalysis. He received his Ph.D. from McGill University after earlier studies at Dalian University of Technology and Fudan University, and subsequently undertook postdoctoral research at Nagoya University and the Clinical Research Institute of Montreal. He joined the National University of Singapore in 2003, progressing from Assistant Professor to Associate Professor and then Professor. His academic contributions encompass catalytic methodology development, organocatalysis, stereoselective synthesis, medicinally relevant molecular construction, research supervision, and academic leadership. He currently serves as Head of the Department of Chemistry and holds a Provost’s Chair Professorship for 2025–2028.
Prof. Jan Vermant
Role: Advisory Board Member
Designation: Professor of Soft Materials, Vice Rector for Curriculum Development, Department of Materials
Affiliation: ETH Zurich, ETH Zurich, Zurich, Canton of Zurich, Switzerland
Address: Department of Materials, ETH Zurich, Vladimir-Prelog-Weg 5, 8093 Zurich, Switzerland
Area of Research: Materials Science, Soft Matter, Rheology, Colloid Science, Complex Fluids
Research Keywords: Soft Materials, Rheology, Colloidal Suspensions, Complex Fluids, Interfacial Rheology, Active Matter, Polymer Physics
Email: jan.vermant@mat.ethz.ch
Prof. Jan Vermant is Professor of Soft Materials in the Department of Materials at ETH Zurich, Switzerland. His research focuses on the physics and engineering of soft matter systems, including complex fluids, colloidal suspensions, rheology, interfacial phenomena, and active materials. His work combines experimental methods, theoretical approaches, and materials engineering concepts to understand the structure–property relationships of soft and complex materials. He has made significant contributions to the development of advanced rheological techniques and the study of particle-based materials, fluid interfaces, emulsions, foams, and biologically relevant soft systems. Prof. Vermant previously held academic positions at KU Leuven before joining ETH Zurich, where he leads research activities in soft materials science. In addition to his research role, he contributes to academic leadership and currently serves as Vice Rector for Curriculum Development at ETH Zurich.
Dr. Amalraj Ambrose
Role: Advisory Board Member
Designation: Professor, Vice Chancellor, DMI-St.John the Baptist University, Malawi, Central Africa
Affiliation: DMI–St. John the Baptist University, Lilongwe, Central Region, Malawi
Address: DMI–St. John the Baptist University, Lilongwe, Malawi
Area of Research: General Chemistry, Theoretical Chemistry
Research Keywords: General Chemistry, Theoretical Chemistry, Chemical Research, Computational Chemistry
Email: amalraj.ambrose@gmail.com
Metrics: Citations: 12
Dr. Amalraj Ambrose is Professor and Vice Chancellor of DMI–St. John the Baptist University, Malawi. His academic background is in chemistry, with research interests covering general chemistry and theoretical chemistry. His scholarly work involves chemical research areas including theoretical approaches to understanding molecular and chemical systems. As Vice Chancellor, he contributes to institutional leadership, academic administration, research development, and higher education activities. He has also contributed to scientific research and academic publishing in chemistry-related fields. His professional interests include strengthening teaching, research collaboration, and academic development within higher education institutions.