Anubhava Srivastava | Ecosystem | Best Researcher Award

Dr. Anubhava Srivastava | Ecosystem | Best Researcher Award

Assistant Professor at Sharda University, India

Dr. Anubhava Srivastava is an accomplished academic and researcher in Computer Science, currently serving as Assistant Professor at Sharda University. With a Ph.D. from RGIPT, Jais, his research bridges artificial intelligence, machine learning, geoinformatics, and remote sensing. His innovative doctoral thesis focused on LU/LC mapping and classification using AI/ML on Google Earth Engine. Dr. Srivastavaโ€™s academic journey reflects a strong commitment to interdisciplinary applications of data science, from precision agriculture to environmental monitoring. He has published extensively in SCI/Scopus journals and international conferences, authored book chapters with Springer and Elsevier, and holds patents related to IoT applications. A GATE qualifier, he has also completed numerous professional certifications through Coursera. With an H-index of 9 (Google Scholar), his work is well-cited and widely recognized. Passionate about sustainability and digital innovation, Dr. Srivastava’s contributions make him a leading voice in AI-driven geospatial solutions for real-world problems.

Professional Profiles๐Ÿ“–

Scopusย 

ORCIDย 

Google Scholar

๐ŸŽ“ Educationย 

Dr. Srivastava holds a Ph.D. in Computer Science from Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Jais, completed in 2023 with a CPI of 8.67. His doctoral thesis focused on LU/LC classification using AI/ML techniques and Google Earth Engine. He earned his M.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, in 2015,ย  Prior to that, he completed his B.Tech in Computer Science in 2012 with 71.84%. His early education includes a Higher Secondary Certificate (57.60%) and a Secondary Certificate (71.32%) from GIC Sultanpur. His academic training spans critical subjects such as database systems, machine learning, artificial intelligence, and remote sensing algorithms. Dr. Srivastava’s educational background is a blend of foundational computer science and advanced AI-geoinformatics, equipping him to tackle complex, data-driven challenges in environmental science, spatial computing, and smart systems.

๐Ÿ— Experienceย 

Dr. Srivastava has over 9 years of academic experience. He currently serves as an Assistant Professor at Sharda University, Greater Noida (since May 2023), in the Department of Computer Science. Prior to that, he was with Noida Institute of Engineering and Technology (2022โ€“2023) and Rajarshi Rananjay Sinh Institute of Management & Technology, Amethi (2015โ€“2022). His responsibilities have included mentoring postgraduate and undergraduate students, supervising research projects, and teaching cutting-edge courses in AI, machine learning, remote sensing, and databases. Dr. Srivastava has also guided students in developing projects using Google Earth Engine, satellite data, and real-time geospatial analytics. His teaching philosophy emphasizes practical application, data literacy, and sustainability. His contributions extend beyond academics through research collaborations, IEEE conference participation, and involvement in AI-based solutions for socio-economic development and smart agriculture. His interdisciplinary experience bridges academia, technology, and field-based environmental intelligence.

๐Ÿ† Awards & Honorsย 

Dr. Srivastava has made significant strides in both academia and applied research. His design patentsโ€”on RFID-based animal tracking and irrigation water supply managementโ€”highlight his innovation in IoT for environmental and agricultural applications. He has earned repeated recognition through his publications in high-impact SCI and Scopus journals such as Science of the Total Environment and Applied System Innovation. With an H-index of 9 on Google Scholar and 8 on Scopus, his scholarly work on AI, remote sensing, and GIS is widely cited. He has qualified the prestigious GATE exam thrice (2013, 2016, 2017). Dr. Srivastavaโ€™s work has been presented in multiple IEEE and Springer conferences, showcasing his leadership in AI-powered geospatial research. He also contributed chapters to international volumes with Elsevier, CRC Press, and Springer. His recognition as a thought leader in environmental computation, digital literacy, and rural innovation places him among promising young researchers in India.

๐Ÿ”ฌ Research Focus

Dr. Anubhava Srivastavaโ€™s research lies at the intersection of Artificial Intelligence, remote sensing, environmental monitoring, and geospatial data analytics. His Ph.D. work involved LU/LC classification and environmental change detection using AI/ML techniques over Google Earth Engine. He focuses on developing intelligent systems that analyze temporal and spatial patterns of land, forest, and urban landscapes. His recent publications address critical challenges such as forest degradation, fire detection, and digital literacy through geoinformatics. His research integrates NDVI, vegetation indices, satellite image classification, and climate change modeling using Sentinel-2 and Landsat datasets. Beyond environmental domains, his contributions also include cybersecurity in P2P networks, real-time earthquake monitoring, and structural health analysis using 3D point clouds. Through interdisciplinary collaboration, he aims to support SDGs by designing AI-based frameworks that enable informed policymaking, sustainable agriculture, and urban resilience. His long-term goal is to expand geospatial intelligence applications through ethical and scalable AI innovations.

๐Ÿ›  Skillsย 

Dr. Srivastava brings a comprehensive skillset in artificial intelligence, machine learning, deep learning, and remote sensing. He is proficient in using Google Earth Engine, Python, MATLAB, and GIS tools for environmental data modeling and visualization. His technical expertise includes supervised and unsupervised classification algorithms, NDVI-based analysis, satellite data processing, API integration, and cloud-native development. He is also adept in computer networks, particularly P2P security protocols, demonstrated in his M.Tech thesis and conference papers. He has authored secure overlays like Heal Gossip and FCCC for environmental and communication systems. Dr. Srivastava’s coursework and certifications from Coursera further validate his mastery in web development, AI, GIS mapping, and cloud computing. His interpersonal and academic skills include research mentorship, technical writing, and effective presentation in reputed conferences. He actively collaborates across disciplines, enhancing his role as a researcher, mentor, and digital innovation advocate.

Publications Top Notes

Review of structural health monitoring techniques in pipeline and wind turbine industries

Authors: VB Sharma, K Singh, R Gupta, A Joshi, R Dubey, V Gupta, S Bharadwaj, A Srivastava

Citations: 44

Year: 2021

Mapping vegetation and measuring the performance of machine learning algorithm in LULC classification in the large area using Sentinel-2 and Landsat-8 datasets of Dehradun

Authors: A Srivastava, S Bharadwaj, R Dubey, VB Sharma, S Biswas

Citations: 35

Year: 2022

Exploring forest transformation by analyzing spatial-temporal attributes of vegetation using vegetation indices

Authors: A Srivastava, S Umrao, S Biswas

Citations: 18

Year: 2023

A probabilistic Gossip-based secure protocol for unstructured P2P networks

Authors: A Srivastava, P Ahmad

Citations: 18

Year: 2016

Determination of optimal location for setting up cell phone tower in city environment using LiDAR data

Authors: S Bharadwaj, R Dubey, MI Zafar, A Srivastava, VB Sharma, V Bhushan

Citations: 16

Year: 2020

Analyzing land cover changes over Landsat-7 data using Google Earth Engine

Authors: A Srivastava, S Biswas

Citations: 14

Year: 2023

GIS mapping of short-term noisy event of Diwali night in Lucknow city

Authors: R Dubey, S Bharadwaj, MI Zafar, V Mahajan, A Srivastava, S Biswas

Citations: 14

Year: 2022

Comparison of Sentinel and Landsat datasets over Lucknow region using gradient tree boost supervised classifier

Authors: A Srivastava, R Dubey, S Biswas

Citations: 13

Year: 2023

FCCC: Forest cover change calculator user interface for identifying fire incidents in forest region using satellite data

Authors: A Srivastava, S Umrao, S Biswas, R Dubey, MI Zafar

Citations: 11

Year: 2023

GIS based road traffic noise mapping and assessment of health hazards for a developing urban intersection

Authors: MI Zafar, R Dubey, S Bharadwaj, A Kumar, KK Paswan, A Srivastava

Citations: 9

Year: 2023

AI-driven environmental monitoring using Google Earth Engine

Authors: A Srivastava, H Sharma

Citations: 5

Year: 2024

A method for extracting deformation features from terrestrial laser scanner 3D point clouds data in RGIPT building

Authors: VB Sharma, R Dubey, A Bhatt, S Bharadwaj, A Srivastava, S Biswas

Citations: 4

Year: 2022

Conclusionโœ…

Moslem Daliri | Fisheries | Best Researcher Award

Dr. Moslem Daliri | Fisheries | Best Researcher Award

Faculty member at University of Hormozgan, Iran

Dr. Moslem Daliri is a distinguished faculty member in the Fisheries (Marine) Department at the University of Hormozgan, Iran. Armed with a Ph.D. in Fisheries Management, he has devoted his career to advancing marine conservation and sustainable fisheries. His research spans small-scale fisheries governance, combating IUU (illegal, unreported, and unregulated) fishing, ecosystem-based fishery management, and protecting marine biodiversity. To date, he has authored over 70 peer-reviewed papers and contributed four chapters to academic books. With a citation index of 749, his scholarship has both national and international resonance. His influential framework, published in Marine Policy, helped trigger the 2025 seasonal fishing ban in the northern Persian Gulf. He actively partners with the Sea Around Us project, enhancing his global research footprint. Dr. Daliri combines scientific rigor with policy advocacy, striving for tangible impact in marine ecosystems and coastal communities.

Professional Profiles๐Ÿ“–

Scopusย 

ORCIDย 

Google Scholar

๐ŸŽ“ Educationย 

Dr. Moslem Daliri earned his Ph.D. in Fisheries Management from [unnamed institution], focusing on sustainable resource governance. Before that, he completed his M.Sc. in Fisheries Sciences, concentrating on marine conservation and ecosystem-based approaches. His undergraduate degree in Fisheries Biology laid the foundation for his enduring interest in marine ecosystems. Throughout his academic journey, he received rigorous training in research methodologies, statistical modeling, ecological assessment, and socio-economic analysis of coastal communities. He conducted intensive fieldwork in the Persian Gulf region, integrating quantitative and qualitative methods to evaluate fish stocks, seasonal dynamics, and governance frameworks. His education emphasized bridging theoretical science with real-world application, preparing him to design evidence-driven interventions. Professional development continued through international workshops, collaborative projects, and active participation in research symposiums. This robust educational background empowered him to formulate policiesโ€”such as the seasonal fishing banโ€”to strengthen marine sustainability in Iran and the broader Persian Gulf region.

๐Ÿ— Experienceย 

As a faculty member at the University of Hormozgan, Dr. Daliri has lectured undergraduate and postgraduate students in subjects including fisheries management, marine ecology, and policy analysis. He has supervised numerous M.Sc. and Ph.D. theses, nurturing the next generation of marine scientists. His research leadership is evident in completed and ongoing projects: he led a study on the timing of an extended fishing ban in the Persian Gulf and currently explores social capital in coastal communities to promote responsible fisheries. He also collaborates with the Sea Around Us initiative, linking academic research to global marine conservation efforts. His consultative work informs regional policymaking, as evidenced by the implementation of the seasonal fishing closure. Additionally, he’s authored four book chapters, expanding the discourse on ecosystem-based management. With over 70 publications in high-impact journals and a citation index nearing 750, he stands as a prolific researcher deeply engaged in both academia and policy.

๐Ÿ† Awards & Honorsย 

Dr. Moslem Daliri has earned several academic distinctions throughout his career. His seasonal fishing ban proposal, published in Marine Policy, garnered recognition and led to its adoption in the northern Persian Gulf in 2025โ€”a policy achievement that reflects his impact. While specific formal awards are not listed, his high citation index (749) and extensive record of peer-reviewed publications (over 70) speak to broad acknowledgment from the scientific community. He is frequently invited to present at international fisheries and conservation conferences, reflecting peer esteem. His collaboration with the Sea Around Us project further underscores professional respect from global research consortia. His authored book chapters with respected academic publishers also indicate scholarly honor. Additionally, he has earned trust from policymakers, securing support for fisheries reforms. Although formal national or international prize listings are not noted, his track record of policy translation, academic influence, and contribution to regional marine conservation represents significant honors in practice.

๐Ÿ”ฌ Research Focus

Dr. Daliriโ€™s research focuses on sustainable fisheries management, with emphasis on small-scale fisheries governance, combating IUU fishing, and conservation of marine biodiversity. He specializes in ecosystem-based fishery management, integrating ecological, social, and regulatory dimensions to optimize both productivity and ecosystem health. His work includes designing frameworks for seasonal fishing bansโ€”leading to policy implementation in the Persian Gulf in 2025โ€”and evaluating the social capital of coastal communities to support responsible fishing practices. He also investigates governance structures that impact compliance, equity, and resilience in small-scale fisheries. By combining field data, stakeholder surveys, and policy analysis, he develops practical solutions for ecosystem-based resource use. His collaboration with the Sea Around Us project extends his work to global stock assessments and marine policy discussions. His multidisciplinary research bridges science and governance, aiming to strengthen institutional capacity, promote sustainable livelihoods, and protect marine ecosystems in Iran and beyond.

๐Ÿ›  Skillsย 

Dr. Moslem Daliri possesses a diverse and robust skill set that strengthens his role as a multidisciplinary marine researcher and policy contributor. He demonstrates advanced proficiency in both quantitative and qualitative fisheries research methodologies, including ecological modeling, statistical analysis using tools like R and SPSS, and geospatial analysis through GIS. His expertise in policy development is evident through his ability to translate complex scientific findings into actionable, evidence-based recommendationsโ€”most notably contributing to the successful implementation of seasonal fishing closures in the Persian Gulf. In the field, Dr. Daliri is skilled at conducting coastal surveys, stakeholder interviews, and community workshops, ensuring participatory engagement in his research. His academic leadership is reflected in his mentorship of graduate students and editorial contributions to scientific publications. Furthermore, his collaborations with global initiatives like the Sea Around Us project, as well as with regional policymakers and fisheries stakeholders, showcase his strong networking and coordination capabilities. A clear and effective communicator, he excels in academic writing, proposal development, and policy dialogue. Together, these competencies enable him to drive impactful research, bridge science and governance, and promote sustainable marine resource management.

Publications Top Notes

The by-catch composition of shrimp trawl fisheries in Bushehr coastal waters, the northern Persian Gulf
๐Ÿ–Š SY Paighambari, M Daliri
๐Ÿ“˜ Journal of the Persian Gulf 3 (7), 27-36
๐Ÿ“… 2012 | ๐Ÿ”ข Citations: 71

Length-weight and length-length relationships, relative condition factor and Fulton’s condition factor of five cyprinid species in Anzali wetland, southwest of the Caspian Sea
๐Ÿ–Š G Moradinasab, M Daliri, R Ghorbani, SY Paighambari, R Davoodi
๐Ÿ“˜ Caspian Journal of Environmental Sciences 10 (1), 25
๐Ÿ“… 2012 | ๐Ÿ”ข Citations: 60

Why is illegal fishing occurring in the Persian Gulf? A case study from the Hormozgan province of Iran
๐Ÿ–Š M Daliri, E Kamrani, S Jentoft, SY Paighambari
๐Ÿ“˜ Ocean & Coastal Management 120, 127-134
๐Ÿ“… 2016 | ๐Ÿ”ข Citations: 44

Estuaries and coastal zones in the northern Persian Gulf (Iran)
๐Ÿ–Š M Sharifinia, M Daliri, E Kamrani
๐Ÿ“˜ Coasts and Estuaries, 57โ€“68
๐Ÿ“… 2019 | ๐Ÿ”ข Citations: 41

Chinaโ€™s fish maw demand and its implications for fisheries in source countries
๐Ÿ–Š A Ben-Hasan, YS de Mitcheson, MA Cisneros-Mata, EA Jimenez, M Daliri, …
๐Ÿ“˜ Marine Policy 132, 104696
๐Ÿ“… 2021 | ๐Ÿ”ข Citations: 40

Length-weight relationships, condition factors and relative weight of five fish species of Bushehr waters, Northern Persian Gulf
๐Ÿ–Š H Raeisi, M Daliri, SY Paighambari, MJ Shabani, M Bibak, R Davoodi
๐Ÿ“˜ African Journal of Biotechnology 10 (82), 19181-19186
๐Ÿ“… 2011 | ๐Ÿ”ข Citations: 40

Fabrication of antifouling coating based on chitosan-melanin hybrid nanoparticles as sustainable and antimicrobial surface
๐Ÿ–Š S Ghattavi, A Homaei, E Kamrani, D Saberi, M Daliri
๐Ÿ“˜ Progress in Organic Coatings 174, 107327
๐Ÿ“… 2023 | ๐Ÿ”ข Citations: 36

The impact assessment of desalination plant discharges on heavy metal pollution in the coastal sediments of the Persian Gulf
๐Ÿ–Š M Sharifinia, M Keshavarzifard, P Hosseinkhezri, MH Khanjani, CK Yap, …
๐Ÿ“˜ Marine Pollution Bulletin 178, 113599
๐Ÿ“… 2022 | ๐Ÿ”ข Citations: 35

Length-weight and length-girth relationships, relative weight and relative condition factor of four commercial fish species of northern Persian Gulf
๐Ÿ–Š M Daliri, SY Paighambari, MJ Shabani, M Pouladi, R Davoodi
๐Ÿ“˜ Annual Review & Research in Biology 2 (1), 15-26
๐Ÿ“… 2012 | ๐Ÿ”ข Citations: 29

Lengthโ€“weight and lengthโ€“length relationships of four species (Barbus lacerta Heckel, 1843)…
๐Ÿ–Š M Hasankhani, Y Keivany, M Daliri, M Pouladi, NM Soofiani
๐Ÿ“˜ Journal of Applied Ichthyology 30 (1), 206-207
๐Ÿ“… 2014 | ๐Ÿ”ข Citations: 26

Fishmeal replacement by mealworm (Tenebrio molitor) in diet of farmed Pacific white shrimp…
๐Ÿ–Š M Sharifinia, ZA Bahmanbeigloo, M Keshavarzifard, MH Khanjani, …
๐Ÿ“˜ Aquatic Living Resources 36, 19
๐Ÿ“… 2023 | ๐Ÿ”ข Citations: 24

Length-weight and length-length relationships, condition factors and optimal length of some fish species from the Persian Gulf and Oman Sea
๐Ÿ–Š SH Kazemi, SY Paighambari, M Daliri, RA Naderi
๐Ÿ“˜ International Journal of Aquatic Biology 1 (4), 167-174
๐Ÿ“… 2013 | ๐Ÿ”ข Citations: 22

The effects of replacing fishmeal by mealworm (Tenebrio molitor) on digestive enzymes activity…
๐Ÿ–Š M Sharifinia, ZA Bahmanbeigloo, M Keshavarzifard, MH Khanjani, …
๐Ÿ“˜ Annals of Animal Science 23 (2), 519-528
๐Ÿ“… 2023 | ๐Ÿ”ข Citations: 20

Source apportionment and health risk assessment of PAHs in the coastal ecosystem of the Brunei Bay
๐Ÿ–Š R Sharifi, M Keshavarzifard, M Sharifinia, MP Zakaria, MR Mehr, S Abbasi, …
๐Ÿ“˜ Marine Pollution Bulletin 181, 113913
๐Ÿ“… 2022 | ๐Ÿ”ข Citations: 18

Lengthโ€“weight and lengthโ€“length relationships of four species from the Sirwan River, western Iran
๐Ÿ–Š M Hasankhani, Y Keivany, M Daliri, M Pouladi, NM Soofiani
๐Ÿ“˜ Journal of Applied Ichthyology 30 (1), 206-207
๐Ÿ“… 2014 | ๐Ÿ”ข Citations: 17

Conclusionโœ