Prabhjyoti Pahwa | Immunology | Best Researcher Award

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Ms. Prabhjyoti Pahwa | Immunology | Best Researcher Award

Ph.D. Student at Institute of Liver and Biliary Sciences, India

Prabhjyoti Pahwa is a dedicated Ph.D. scholar at the Institute of Liver and Biliary Sciences, New Delhi, with a focus on immunology and liver diseases. Her work spans a wide range of research areas, from viral infections to immune-metabolic responses in liver disease pathogenesis. She has actively contributed to multiple peer-reviewed publications in leading journals, particularly exploring immune alterations in diseases like Hepatitis E and B, as well as in COVID-19 during pregnancy. As a researcher, she combines a strong technical skillset in molecular biology and cell biology with a passion for understanding the immune system’s role in liver diseases. Prabhjyoti is committed to advancing the field of hepatology through innovative research, with a vision to improve maternal and fetal health outcomes in viral infections.

Publication Profile : 

Scopus

Educational Background 🎓

  • Ph.D. (2022 – Present)
    Institute of Liver and Biliary Sciences, New Delhi
  • Junior Research Fellow (2020 – 2022)
    Institute of Liver and Biliary Sciences, New Delhi
  • M.Sc. in Biotechnology (2017 – 2019)
    Panjab University, Chandigarh
    GPA: 3.45 (86.24%)
  • B.Sc. in Zoology (Hons.) (2014 – 2017)
    Zakir Husain Delhi College, University of Delhi
    GPA: 3.199 (79.99%)
  • Intermediate (Class 12, 2014)
    RPVV Raj Niwas Marg, Delhi
    80.04%
  • Matriculation (Class 10, 2012)
    B.M. Ganges Girls’ Senior Secondary School, Delhi
    CGPA: 8.2

Professional Experience 💼

Prabhjyoti Pahwa is currently a Junior Research Fellow and Ph.D. Scholar at the Institute of Liver and Biliary Sciences (ILBS), New Delhi, where she has been conducting cutting-edge research on hepatology and immunology since 2020. Her research focuses on Hepatitis E Virus (HEV) infection during pregnancy and its severe maternal and fetal outcomes, as well as the immune-metabolic shifts in various liver diseases, including Hepatitis B and C. Throughout her research career, she has worked under the mentorship of Prof. Nirupama Trehanpati and collaborated with prominent researchers in the field of liver diseases. Previously, she was a Master’s student at Panjab University, Chandigarh, where she gained practical experience in biotechnology, cell biology, and molecular techniques. She has also worked on several collaborative projects, contributing to a diverse range of research topics, from lipase-producing bacteria to biosensors for pesticide detection.

Research Interests 🔬

Prabhjyoti’s primary research interests include:

  • Hepatitis E virus (HEV) and its impact during pregnancy
  • Immuno-metabolic shifts in liver diseases, especially in pregnant women with viral infections
  • The role of T cells, natural killer cells, and cytokines in the progression of liver diseases like hepatitis B
  • Single-cell RNA sequencing for exploring immune responses in chronic viral infections
  • Investigating metabolomic alterations and their correlation with disease severity in liver diseases and SARS-CoV-2 infections during pregnancy.

Publications 📚

  1. Prabhjyoti Pahwa, Deepti Sharma*, Pushpa Yadav, Sherin Sarah Thomas, Sandhya Hora, Preedia Babu E., Gayatri Ramakrishna, Shiv Kumar Sarin*, Nirupama Trehanpati*.
    Prognostic role of serum VEGF and HGF post SBRT in advanced hepatocellular carcinoma.
    Journal of Clinical and Experimental Hepatology, 2024 (Accepted in October 2024).

  2. Anoushka Saxena, Minal, Prabhjyoti Pahwa, Jaswinder Singh Maras, Hamda Siddiqui, Jayesh Kumar Sevak, Y.M. Mala, Shakun Tyagi, Shiv Kumar Sarin, Nirupama Trehanpati.
    Immuno-metabolic shifts in acute liver failure caused by hepatitis E virus infection during pregnancy and their association with obstetric outcomes.
    Hepatology Communication, 2024 (Accepted in October 2024).

  3. Prabhjyoti Pahwa, Ashish Kumar Vyas, Jayesh Kumar Sevak, Ravinder Singh, Jaswinder Singh Maras, Sharda Patra, Shiv K Sarin, Nirupama Trehanpati*.
    Modulation of CD8+ T cells, natural killer cells and Th1 cytokines by metabolic milieu in decline of HBV viremia in pregnant women treated with Tenofovir disoproxil from second trimester of pregnancy.
    Journal of Reproductive Immunology, 2024, Volume 162.

  4. Sandhya Hora$, Prabhjyoti Pahwa$, Hamda Siddiqui, Anoushka Saxena, Minal Kashyap, Jayesh Kumar Sevak, Ravinder Singh, Maryam Javed, Pushpa Yadav, Pratibha Kale, Gayatri Ramakrishna, Meenu Bajpai, Asmita Rathore, Jaswinder Singh Maras, Shakun Tyagi*, Shiv Kumar Sarin*, Nirupama Trehanpati*.
    Metabolic alterations unravel the materno–fetal immune responses with disease severity in pregnant women infected with SARS-CoV-2.
    Journal of Medical Virology, December 2023, Volume 95, Issue 12.
    DOI: 10.1002/jmv.29257.

  5. Prabhjyoti Pahwa1, Ravinder Singh1, Partha Chattopadhyay2, Priyanka Mehta2, Sharda Patra3, Rajesh Pandey2, Shakun Tyagi4, Shiv Kumar Sarin5*, Nirupama Trehanpati1*.
    Single cell RNA sequencing reveals exhausted adaptive immunity in utero to HBV exposed neonates born to mothers with high HBsAg titres persisting despite vaccination.
    Hepatology, AASLD 2024, Poster of Distinction.

  6. Prabhjyoti Pahwa, Fatima Ali, Ashish Kumar Vyas, Sharda Patra, Shiv K Sarin, Nirupama Trehanpati*.
    Decline in viral load induces CD8+ T cells, natural killer cells and Th1 cytokine profile in chronic hepatitis B infected pregnant women treated with Tenofovir disoproxil from second trimester.
    Oral Presentation, AASLD 2022.

  7. Anoushka Saxena, Hamda Siddiqui, Jayesh Kumar Sevak, Minal, Prabhjyoti Pahwa, Fatima Ali, Shakun Tyagi, Shiv Kumar Sarin, Nirupama Trehanpati*.
    IL-7 induced CD4+ Memory stem T cell-derived pro-inflammatory cytokine storm plays a role in hepatitis E induced pathogenesis in pregnant women.
    AASLD 2022.

  8. Anoushka Saxena, Minal Kashyap, Prabhjyoti Pahwa, Fatima Ali, Hamda Siddiqui, Preedia Babu E., Y.M. Mala, Shakun Tyagi, Nirupama Trehanpati.
    Elevated serum bilirubin levels and aminotransferases are associated with immuno-modulatory and suppressive subsets in pregnant females with intrahepatic cholestasis and hepatitis E virus infection.
    EASL 2022.

  9. Anoushka Saxena, Prabhjyoti Pahwa, Hamda Siddiqui, Jaswinder Singh Maras, Rashi Sehgal, Sharda Patra, Shiv Kumar Sarin, Nirupama Trehanpati.
    The metabolome profiling of patients infected with hepatitis E virus unravels the role of Nicotinate and Nicotinamide pathway and D-glutamine and glutamate metabolism in the development of Acute Liver Failure.
    AASLD 2021.

  10. Prabhjyoti Pahwa, Hamda Siddiqui, Fatima Ali, Jayesh Kumar Sevak, Archana Rastogi, Sakshi Aggarwal, Shakun Tyagi, Nirupama Trehanpati, Asmita Rathore.
    Rise in pro- and anti-inflammatory cytokines in asymptomatic and mild COVID-19 pregnant patients than moderate to severe patients.
    AOGD 2021.

 

 

 

Kothai Ganesan | Computer Vision | Best Researcher Award

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Assist. Prof. Dr. Kothai Ganesan | Computer Vision | Best Researcher Award

Assistant Professor at KPR Institute of Engineering and Technology, India

Dr. Kothai Ganesan is an Assistant Professor in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at KPR Institute of Engineering and Technology. She holds a Bachelor’s degree and Master’s degree in Engineering from Anna University and a Ph.D. from SRM Institute of Science and Technology, with research focusing on Intelligent Transport Systems, traffic prediction, and secure data transmission. Her published work includes studies in vehicular networks, traffic congestion, and security protocols, alongside ongoing research in medical imaging, AI-enhanced diagnostic tools, and image processing. A recognized mentor and department coordinator, Dr. Kothai integrates modern tools like Docker into her curriculum, advancing industry-aligned education. Her contributions have been acknowledged in journals, conferences, and professional memberships, including IEEE Computational Intelligence Society.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Kothai Ganesan is an accomplished Assistant Professor in the Computer Science and Engineering (Artificial Intelligence and Machine Learning) department at KPR Institute of Engineering and Technology. Her academic journey began with a Bachelor’s degree in Computer Science and Engineering from Anna University (2012–2016), followed by a Master’s in the same field, earned with first-class distinction at Anna University (2016–2018). Pursuing her passion for advanced research, Dr. Ganesan completed her Ph.D. in November 2023 at SRM Institute of Science and Technology, where her research centered on Intelligent Transport Systems, with a particular focus on traffic prediction, congestion avoidance, and secure data transmission, all aimed at improving urban mobility.

💼 Professional Experience :

Professionally, Dr. Ganesan has contributed significantly to the field of AI-driven transport systems, publishing extensively on vehicular ad hoc networks (VANETs) and innovative machine learning techniques. Her research outputs include collision prediction and secure communication protocols, enhancing safety in smart cities. She has also expanded her focus into medical AI, exploring Alzheimer’s diagnosis, pediatric epilepsy recognition, and cancer detection using optimized learning models. Alongside her research, Dr. Ganesan is an active mentor, guiding student-led projects in machine learning and artificial intelligence. As a dedicated faculty member, she serves as the IQAC Coordinator, Exam Cell Coordinator, Autonomous Coordinator, and R&D Coordinator, furthering the program’s reputation through academic rigor and practical industry integration. 📚💡

📚 Research Interests : 

Her current research interests are broad, covering deep learning, machine learning, computer vision, and natural language processing. Dr. Ganesan’s work has gained her recognition in prestigious journals and conferences, and she actively participates in the IEEE Computational Intelligence Society as a Faculty Advisor. As a reviewer for leading journals, she contributes her expertise to the scholarly community. Dr. Ganesan’s unique blend of academic insight, mentorship, and professional innovation showcases her commitment to advancing AI and machine learning for impactful, real-world applications. 🌟

📝 Publication Top Notes :

  1. Ganesan, K., & [Co-authors, if applicable]. (2021). A New Hybrid Deep Learning Algorithm for Prediction of Wide Traffic Congestion in Smart Cities. Wireless Communications and Mobile Computing, 2021, Article ID 5583874, 13 pages. https://doi.org/10.1155/2021/5583874.
  2. Ganesan, K., & [Co-authors, if applicable]. (2020). Performance Analysis of Stationary and Deterministic AODV Model. International Journal of Interactive Mobile Technologies (IJIM), 14(17), 33–44.
  3. Ganesan, K., & [Co-authors, if applicable]. (2022). IoT-Based Automatic SOP Adoption in Pandemic Scenario. International Journal of High Technology Letters, June 2022.
  4. Ganesan, K., & [Co-authors, if applicable]. (2024). A Hybrid CNN-GRU based Intrusion Detection System for Secure Communication in Vehicular Adhoc Network. Information Security Journal, Taylor & Francis, June 2024.

 

 

 

Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

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Mr. Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

Postgraduate Research Student of Aston University, United Kingdom

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, specializing in human behavior analysis in smart environments. His research has applications in ambient assisted living, human-robot collaboration, and user-centered building system control. With a Master’s in Mechatronic Engineering from Zhejiang University and a Bachelor’s in Electronics Information Engineering from Liaoning University of Technology, Vincent has gained valuable experience as a Research Assistant at institutions like The Hong Kong Polytechnic University and Westlake University. His expertise spans activity recognition, vision-based monitoring technologies, and smart building systems. He has received several awards, including Best Paper Runner-Up at the International Conference on AI in Healthcare (2024), and has contributed to numerous publications in high-impact journals. ✨🤖🏠

Publication Profile : 

Scopus

 

🎓 Educational Background :

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, where he focuses on human behavior analysis in smart environments, with key applications in ambient assisted living, human-robot collaboration, and user-centered building system control. He holds a Master of Engineering in Mechatronic Engineering from Zhejiang University (2018-2021) and a Bachelor of Engineering in Electronics Information Engineering from Liaoning University of Technology (2014-2018).

💼 Professional Experience :

Professionally, Vincent has been a Postgraduate Teaching Assistant at Aston University since October 2022, where he also mentors students and engages in research. Prior to this, he served as a Research Assistant at The Hong Kong Polytechnic University (2021-2022) and Westlake University (2021). His dedication to academia is reflected in his contributions to several high-impact conferences and journals, earning recognition such as the Best Paper Runner-Up Award at the 2024 International Conference on AI in Healthcare and the Best Paper Award at the 22nd International Conference on Construction Applications of Virtual Reality in 2022.

📚 Research Interests : 

Vincent’s research interests include activity recognition, user trust in monitoring systems, vision-based technology acceptance in home environments, human-robot collaboration, and smart building systems. His innovative work spans publications on privacy-preserving ambient assisted living, thermal comfort modeling, and IoT-enabled robot skin systems. He actively reviews for leading conferences and journals in his field, such as IROS and ISIE.

📝 Publication Top Notes :

  1. Darras, K., Balle, M., Xu, W., Yan, Y., Zakka Gbouna, V., Toledo, M., Sheng, D., Lin, W., Zhang, B., Lan, Z., Li, F., & Wanger, T. (2024). Eyes on Nature: Embedded Vision Cameras for Multidisciplinary Terrestrial Biodiversity Monitoring. Method in Ecology. Accepted.
  2. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Hierarchical Temporal Convolution Network: Towards Privacy-Centric Activity Recognition. 16th International Conference on Ubiquitous Computing and Ambient Intelligence. Accepted.
  3. Zakka Gbouna, V., Lee, M., Zhang, R., Huang, L., Jung, S., & Hong, T. (2024). Non-invasive vision-based personal comfort model using thermographic images and deep learning. Automation in Construction, 105811. https://doi.org/10.1016/j.autcon.2024.105811
  4. Zakka Gbouna, V., & Lee, M. (2024). A generalized thermal comfort model using thermographic images and compact convolutional transformers: Towards scalable and adaptive occupant comfort optimization. Building and Environment, 112118. https://doi.org/10.1016/j.buildenv.2024.112118
  5. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Action Recognition for Privacy-Preserving Ambient Assisted Living. International Conference on AI in Healthcare, 15. https://doi.org/10.1007/978-3-031-67285-9_15
  6. Xie, K., Lee, M., Khalid, R., & Zakka Gbouna, V. (2023). The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity. Energy and Buildings, 113552. https://doi.org/10.1016/j.enbuild.2023.113552
  7. Zakka Gbouna, V., & Lee, M. (2022). An Integrated Design of Energy and Indoor Environmental Quality System for Effective Building Performance Management. Proceedings of the 22nd International Conference on Construction Applications of Virtual Reality.
  8. Zakka Gbouna, V., Pang, G., Yang, G., Hou, Z., Lv, H., Yu, Z., & Pang, Z. (2021). User-interactive robot skin with large-area scalability for safer and natural human-robot collaboration in future telehealthcare. IEEE Journal of Biomedical and Health Informatics, 3082563. https://doi.org/10.1109/JBHI.2021.3082563 (Featured on Cover Paper)
  9. Zakka Gbouna, V., Hou, Z., Pang, G., Yang, H., & Yang, G. (2021). IoT-Enabled Robot Skin System for Enhancement of Safe Human-Robot Collaboration. International Conference on Intelligent Robotics and Applications, 43. https://doi.org/10.1007/978-3-030-89098-8_43
  10. Heng, W., Pang, G., Zakka Gbouna, V., Pang, Z., Yi, K., & Yang, H. (2019). Facile Fabrication of Highly Soft Tactile Sensor based on Porous Sponge with Geometry Effect on Sensing Characteristics. 2nd IEEE International Flexible Electronics Technology Conference. https://doi.org/10.1109/IFETC46817.2019.9073774

 

 

 

 

Xinyi Wei | Social Psychological Impacts | Best Researcher Award

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Assoc. Prof. Dr. Xinyi Wei | Social Psychological Impacts | Best Researcher Award

Associate Professor at Renmin University of China and Putian University, China

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University. He graduated from a “Double First-Class” university in China, excelling in a “Double First-Class” discipline. Over his 11-year academic career, he has published over 30 papers, including five as first author in top-tier journals (SSCI Q1), with an impressive impact factor of 10.1 for one of his articles. His research explores the social psychological impacts of emerging technologies, particularly in relation to mobile phone usage and addiction. In addition, he has completed significant projects funded by national and university-level grants.

Publication Profile : 

Scopus

🎓 Educational Background :

  • University: Graduated from a “Double First-Class” university in China 🇨🇳
  • Discipline: Specialized in a “Double First-Class” discipline 📚

💼 Professional Experience :

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University, with 11 years of academic experience. He has published over 30 academic papers, including five first-authored pieces in top-tier journals (SSCI Q1), achieving a maximum impact factor of 10.1. His expertise spans both quantitative and qualitative research methods in social sciences, further enriched by his involvement in significant research projects funded by prestigious organizations.

📚 Research Interests : 

  • 📱 Social psychological impacts of mobile technology
  • 📊 Gender differences in technology usage
  • 🧠 Cognitive and neural mechanisms related to behavioral responses
  • 💡 Smartphone addiction and its implications
  • 🌐 Effects of emerging technologies on society

📝 Publication Top Notes :

  1. Peng, J., Yuan, S., Wei, Z., Wu, S., & Ren, L. (2024). Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder. BMC Psychiatry, 24(1), 241. [Open access]
  2. Liu, C., Rotaru, K., Wang, Z., Albertella, L., & Ren, L. (2024). Examining network structure of impulsivity and depression in adolescents and young adults: A two-sample study. Journal of Affective Disorders, 362, 54–61.
  3. Gao, T., Yang, L., Wei, X., Zhang, L., & Lei, L. (2024). Is childhood emotional neglect associated with problematic smartphone use among adolescents? The mediating role of rejection sensitivity and depressive symptoms. Current Psychology, 43(32), 26477–26489.
  4. Wei, X., Chu, X., Geng, J., Wang, C., & Lei, L. (2024). Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users. Technology in Society, 77, 102566. [Open access]
  5. Li, J., Liu, C., Albertella, L., Liu, X., & Ren, L. (2024). Network analysis of the association between Dark Triad traits and depression symptoms in university students. Personality and Individual Differences, 218, 112495.
  6. Chu, X., Chen, Y., Litifu, A., Wei, X., & Lei, L. (2024). Social anxiety and phubbing: The mediating role of problematic social networking and the moderating role of family socioeconomic status. Psychology in the Schools, 61(2), 553–567. [Open access]
  7. Wei, X., Chu, X., Wang, H., Liu, C., & Lei, L. (2024). Does positive coping style alleviate anxiety symptoms after appearing problematic smartphone use for generation Z adolescents? The mediating role of state core self-evaluation. Current Psychology, 43(8), 6783–6795.
  8. Wang, Y., Gu, X., Geng, J., Wei, X., & Lei, L. (2024). Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: The buffering role of media literacy. Cyberpsychology, 18(1), 2. [Open access]
  9. Wei, X.-Y., Jiang, Y.-Z., Zhou, H.-L., & Jiang, H.-B. (2023). Erratum: Neuroticism and problematic smartphone use symptom types: Roles of anxiety and alexithymia. Current Psychology, 42(36), 32616–32617. [Open access]