Dr. Waris Ali | Institutional Network | Best Researcher Award

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Dr. Waris Ali | Institutional Network | Best Researcher Award

Dr. Waris Ali, University of Sahiwal, Pakistan

Dr. Waris Ali is an accomplished Associate Professor and Chairperson of the Department of Business Administration at the University of Sahiwal, Pakistan. With over 15 years of academic experience, Dr. Ali specializes in Strategic Management, CSR, and Institutional Networks. He earned his Ph.D. and MSc in Business and Research Methods from Middlesex University Business School, London, UK. His international exposure and leadership roles—including Director ORIC and Additional Treasurer—highlight his dedication to academia and research innovation. Dr. Ali has contributed significantly to scholarly work, curriculum development, and academic governance. His teaching philosophy centers on critical thinking, ethics, and sustainability. A forward-thinking academic, he continues to mentor students and publish impactful research in business administration. 📚🌐

🌍 Professional Profile 

Orcid

Google Scholar

🏆 Suitability for Best Researcher Award 

Dr. Waris Ali is highly deserving of the Best Researcher Award due to his outstanding contributions to the fields of Strategic Management, Corporate Social Responsibility, and Institutional Theory. With an international doctoral background from Middlesex University, UK, and a robust academic and administrative career in Pakistan, Dr. Ali has developed a strong research profile emphasizing Institutional Networks and ESG practices. His work bridges theory and practice and promotes sustainable development. His research has been published in reputable journals, contributing significantly to global business discourse. His leadership roles, innovative mindset, and interdisciplinary approach make him a role model for researchers and students alike. This award would recognize his commitment to research excellence and societal impact. 🥇📈

🎓 Education 

Dr. Waris Ali holds a Ph.D. in Business Administration (2011–2014) and an MSc in Business and Research Methods (2010–2011) from Middlesex University Business School, London, UK. He also completed his MBA (2004–2006) and B.Sc. (2002–2004) at Bahauddin Zakariya University, Pakistan. His academic journey demonstrates a continuous pursuit of excellence across diverse domains, including quantitative and qualitative research, strategic theory, and ethics. His international education has deeply influenced his research perspective, allowing him to address complex business problems from a global lens. Dr. Ali’s solid educational foundation in both theory and practice enables him to mentor scholars, lead strategic research projects, and deliver high-impact teaching in business and management. 🎓📘

💼 Experience 

Dr. Waris Ali brings over 17 years of academic and administrative experience in business education. He currently serves as Associate Professor and Chairperson at the University of Sahiwal. Previously, he taught at Bahauddin Zakariya University and Middlesex University London. His leadership includes roles as Director ORIC, Director Student Affairs, and Additional Treasurer, showcasing his institutional commitment and organizational skills. He has designed curricula, managed research funding, and mentored faculty and students. As a passionate educator, he teaches courses in ethics, strategic management, and research methods. His blend of local and international academic experience makes him a dynamic contributor to Pakistan’s higher education landscape. 🎓👨‍🏫

🏅 Awards and Honors

Dr. Waris Ali has been recognized for his dedication to academic leadership and research excellence. While specific awards were not listed, his appointments to high-impact roles—such as Director ORIC and Chairperson of the Business Administration Department—reflect institutional trust and recognition of his expertise. His Ph.D. scholarship and successful teaching tenure in the UK also highlight academic merit and international acknowledgment. Under his guidance, student research has flourished, and his efforts in strategic planning and corporate ethics have received praise within academic circles. The Best Researcher Award would be a fitting tribute to his lasting contributions and future potential in the field of business research and innovation. 🏆📖

🔬 Research Focus

Dr. Waris Ali’s primary research interest lies in Institutional Networks and their influence on Corporate Social Responsibility (CSR), ESG practices, and organizational strategy. His work explores how institutions shape ethical behavior, strategic decisions, and sustainability practices in businesses across emerging markets. Drawing from Institutional Theory and stakeholder frameworks, Dr. Ali investigates how businesses respond to regulatory pressures, societal expectations, and network relationships. His current research also delves into corporate reporting, governance, and academic ethics, offering critical insights into business education reform. His interdisciplinary approach connects theory to practice, emphasizing real-world relevance and societal impact. Dr. Ali’s research continues to influence policy-making and curriculum development in Pakistani and global contexts. 🌍🔍

📊 Publication Top Notes

  • Determinants of Corporate Social Responsibility (CSR) Disclosure in Developed and Developing Countries: A Literature Review

    • Citations: 1251

    • Year: 2017

  • Does Corporate Governance Affect Sustainability Disclosure? A Mixed Methods Study

    • Citations: 324

    • Year: 2018

  • Factors Influencing Corporate Social and Environmental Disclosure (CSED) Practices in the Developing Countries: An Institutional Theoretical Perspective

    • Citations: 159

    • Year: 2013

  • The Role of Normative CSR‐Promoting Institutions in Stimulating CSR Disclosures in Developing Countries

    • Citations: 146

    • Year: 2018

  • Corporate Social Responsibility and Customer Loyalty in Food Chains—Mediating Role of Customer Satisfaction and Corporate Reputation

    • Citations: 94

    • Year: 2021

 

 

Prof. Shile Qi | Bioinformatics | Best Researcher Award

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Prof. Shile Qi | Bioinformatics | Best Researcher Award

Prof. Shile Qi, Nanjing University of Aeronautics and Astronautics, China

Prof. Shile Qi is a distinguished expert in computational psychiatry, brain imaging, and data science, currently serving as a Professor of Artificial Intelligence at Nanjing University of Aeronautics and Astronautics. With postdoctoral experience at TReNDS (Georgia State, Georgia Tech, Emory) and The Mind Research Network (USA), Prof. Qi specializes in multimodal neuroimaging, machine learning, and individualized mental health prediction. His research has been recognized globally through prestigious presentations and awards at IEEE ISBI, ICASSP, and OHBM. His work bridges AI, neuroscience, and psychiatry, advancing early diagnosis and personalized treatment of disorders like schizophrenia and depression. Prof. Qi is a rising leader in neuroinformatics, integrating computational innovation with medical science for impactful mental health solutions.

🌍 Professional Profile 

Google Scholar

🏆 Suitability for Best Researcher Award 

Prof. Shile Qi is an exceptional candidate for the Best Researcher Award due to his high-impact contributions in computational neuroscience and AI-powered psychiatry. His groundbreaking work in individualized mental health prediction, multimodal brain data fusion, and bioinformatics has earned him multiple international honors and oral presentations at top-tier conferences like IEEE ISBI, ICASSP, and OHBM (top 1–3%). With a proven record of excellence in brain imaging and mental health research, he offers innovative tools for diagnosing complex psychiatric disorders. His international training, interdisciplinary skills, and leadership in neuroimaging AI make him a transformative figure driving precision psychiatry forward. Prof. Qi exemplifies the ideal balance of academic rigor, innovation, and societal impact.

🎓 Education 

Prof. Shile Qi earned his Ph.D. in Pattern Recognition (2018) from the Institute of Automation, Chinese Academy of Sciences, focusing on computational neuroscience and AI algorithms. He holds a Master’s degree in Mathematics (2014) from Fuzhou University, and a Bachelor’s degree in Mathematics (2011) from Zhoukou Normal University. His solid mathematics background supports his innovations in neuroimaging data analysis, multimodal integration, and personalized prediction models. From 2018 to 2021, he completed prestigious postdoctoral fellowships in the U.S. at The Mind Research Network and the TReNDS Center, working alongside leading experts in neuroimaging, psychiatry, and AI. His education reflects a unique blend of mathematics, pattern recognition, and brain science, forming the foundation of his cutting-edge research.

💼 Experience

Prof. Shile Qi is currently an Artificial Intelligence Professor at Nanjing University of Aeronautics and Astronautics (2021–present), focusing on brain image analysis, computational psychiatry, and AI-driven mental health research. From 2019–2021, he was a Postdoctoral Researcher at TReNDS (a collaborative center of Georgia State, Georgia Tech, and Emory University), where he worked on multimodal data fusion and individualized prediction of psychiatric disorders. Earlier, he completed a postdoc at The Mind Research Network (2018–2019), contributing to high-level brain imaging studies. With extensive experience in interdisciplinary collaboration, Prof. Qi has published and presented work at global platforms and continues to pioneer AI-based diagnostics in neuroscience, combining machine learning, data science, and clinical insights.

🏅 Awards & Honors 

Prof. Shile Qi’s research excellence has earned multiple prestigious awards and presentations. These include:

✨ 2020 OHBM Merit Abstract Award (Top 1%)
✨ 2020 & 2021 OHBM Oral Presentations (Top 3%)
✨ 2017 OHBM Merit Abstract Award (Top 1%)
🎤 2025 IEEE ICASSP & ISBI Oral Presentations
🎤 2021 IEEE ISBI Oral Presentation

His work on multiple psychiatric disorders and ECT treatment studies was consistently ranked among the top abstracts internationally. These honors highlight his cutting-edge contributions to neuroimaging, AI-based psychiatry, and multimodal data fusion. Recognized for technical depth, innovation, and clinical relevance, Prof. Qi has emerged as a thought leader in computational neuroscience, driving AI-enhanced healthcare forward globally.

🔬 Research Focus 

Prof. Shile Qi’s research lies at the intersection of AI, neuroscience, and psychiatry. He specializes in computational psychiatry, using brain imaging and bioinformatics to model mental disorders like schizophrenia and depression. His expertise spans multimodal data fusion, individualized prediction models, and deep learning techniques for detecting subtle brain abnormalities. Prof. Qi develops novel methods to integrate MRI, fMRI, EEG, and other neuroimaging data, providing personalized insights for early diagnosis and treatment planning. He also contributes to bioinformatics and mental health AI, creating predictive models that are both clinically relevant and technically robust. His work aims to transform how psychiatric conditions are understood, detected, and managed through neuroinformatics innovation.

📊 Publication Top Notes  

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

    • Citations: 159

    • Year: 2018

  • Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

    • Citations: 151

    • Year: 2020

  • Aberrant dynamic functional network connectivity and graph properties in major depressive disorder

    • Citations: 148

    • Year: 2018

  • Gender differences in connectome-based predictions of individualized intelligence quotient and sub-domain scores

    • Citations: 137

    • Year: 2020

  • Connectome-based individualized prediction of temperament trait scores

    • Citations: 87

    • Year: 2018

 

 

Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

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Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

Prof. Dr. Jingguo Lv, Beijing University Of Civil Engineering And Architecture, China

Jingguo Lv is a distinguished professor at the Beijing University of Civil Engineering and Architecture. With a Ph.D. in charting and geographic information science from Beijing Normal University, he has dedicated his career to advancing the fields of remote sensing, digital image processing, and visual tracking. Over the years, he has made significant contributions to research and technology, authoring numerous publications and securing multiple patents. His commitment to education and innovation has established him as a leader in his field.

Professional Profile

orcid

Suitability for Best Researcher Award

Professor Jingguo Lv has demonstrated remarkable achievements in the field of remote sensing, digital image processing, and visual tracking, positioning him as a strong contender for the Best Researcher Award. With over 40 academic articles, four monographs, seven authorized patents, and multiple software copyrights, he has consistently contributed to the academic and industrial advancement of these fields. His ongoing research on multi-source data sharing for power grid engineering and various patented technologies highlights his ability to address complex, real-world challenges using innovative approaches. Furthermore, his leadership in mastering core photogrammetry and remote sensing technologies adds to his contributions in urban remote sensing and disaster monitoring.

 🎓 Education 

Jingguo Lv earned his Ph.D. in charting and geographic information science from Beijing Normal University in 2009. His rigorous academic training equipped him with the knowledge and skills essential for his subsequent career in academia and research. At the Beijing University of Civil Engineering and Architecture, he has not only taught but also inspired countless students. His educational background underpins his research focus, driving innovations in remote sensing and image processing.

💼 Experience 

Since 2009, Jingguo Lv has served as a professor at Beijing University of Civil Engineering and Architecture. His extensive experience includes leading research projects and collaborating with industry partners. He has successfully published over 40 articles and authored four academic monographs, contributing significantly to the field of remote sensing. Additionally, his involvement in consultancy projects and industry collaborations highlights his practical application of academic research, bridging the gap between theory and practice.

 🏅Awards and Honors 

Jingguo Lv’s contributions to science and technology have been recognized through various awards. He holds nine software copyrights and has received several technological awards for his innovations in remote sensing and digital image processing. His work has not only advanced academic knowledge but has also had a tangible impact on industry practices. These honors reflect his commitment to excellence in research and education, marking him as a noteworthy figure in his field.

🌍 Research Focus 

Jingguo Lv’s research centers on remote sensing information extraction, digital image processing, and visual tracking. He is dedicated to developing advanced technologies for data sharing in power grid engineering, utilizing multi-source collaborative data. His ongoing projects aim to enhance the efficiency of data utilization in disaster monitoring and urban studies. By focusing on these areas, he contributes to solving real-world problems through innovative scientific approaches, making significant strides in both academia and industry.

 📖 Publication Top Notes

  • Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration
  • Visual Relationship-Based Identification of Key Construction Scenes on Highway Bridges

Prof. Konstantinos Moustris | Meteorology Awards | Excellence in Research

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Prof. Konstantinos Moustris | Meteorology Awards | Excellence in Research

Prof. Konstantinos Moustris, University of West Attica, Athens, Greece

Dr. Konstantinos Moustris is a Professor at the Mechanical Engineering Department, School of Engineering, University of West Attica, Greece, where he leads the Air Pollution Laboratory and the Artificial Neural Networks (ANNs) & Machine Learning Lab. He holds a BSc in Physics, an MSc in Environmental Physics and Meteorology, and a PhD in Environmental Fluid Mechanics, specializing in artificial neural networks modeling. Dr. Moustris has published over 50 original scientific papers in international peer-reviewed journals, focusing on ANN modeling and forecasting, and has presented more than 80 works at international conferences. His research interests include fluid mechanics, renewable energy sources modeling using ANNs, stochastic energy management and forecasting, and environmental fluid mechanics forecasting. His notable contributions to various European projects showcase his commitment to innovation in hybrid materials and nanomaterials. Dr. Moustris has a significant impact in the scientific community, with an h-index of 22 on Google Scholar and extensive recognition for his research work.

Professional Profile:

Scopus

Orcid

Google Scholar 

Suitability Summary for Dr. Konstantinos Moustris  for Excellence in Research Award

In conclusion, Dr. Konstantinos Moustris stands out as a leading researcher whose contributions significantly impact environmental engineering and AI applications. His combination of academic excellence, leadership in research, prolific publication record, and innovative projects make him a highly suitable candidate for the Research for Excellence in Research Award. Recognizing his efforts through this award would not only honor his achievements but also encourage continued excellence in research that benefits society at large.

🎓Education:

Dr. Konstantinos Moustris holds a Ph.D. in Environmental Fluid Mechanics from the National Technical University of Athens (N.T.U.A.), Greece, completed in 2009, with a thesis focused on “Air quality forecasting with the use of artificial neural networks in the greater Athens area.” He also earned an MSc in Environmental Physics and Meteorology from the National and Kapodestrian University of Athens in 1992, following his BSc in Physics from the same institution in 1989.

🏢Work Experience:

Dr. Konstantinos Moustris is a Professor at the Mechanical Engineering Department, School of Engineering, University of West Attica, Greece, where he also serves as the Head of the Air Pollution Laboratory and the Artificial Neural Networks (ANNs) & Machine Learning Lab. His recent research contributions highlight his expertise in developing innovative solutions using artificial intelligence. From 2024 onwards, he has been working on the PROMATAI-HORIZON-MSCA-2022-SE-0 project, focusing on hybrid materials and nanomaterials. Between 2020 and 2023, Dr. Moustris contributed to the development of ANN forecasting models for the DarWEN project, aimed at managing the water and energy nexus in island regions. From 2015 to 2019, he played a key role in the TILOS project, developing ANN models for integrating battery energy storage, and in 2014-2015, he worked on the PHAROS project, creating an integrated design tool to address energy and water needs on Aegean Sea islands using renewable energy-based hybrid systems.

🏅Awards and Recognitions:

Dr. Konstantinos Moustris has made significant contributions to the scientific community, having published over 50 original research papers in peer-reviewed journals. He has also presented more than 80 works at international conferences, showcasing his expertise and commitment to advancing knowledge in his field. His impactful research has earned him a Google Scholar h-index of 22, with a total of 2,014 citations, reflecting the recognition and influence of his work within the academic community.

🔬Research Focus:

Dr. Konstantinos Moustris’s research primarily focuses on fluid mechanics, renewable energy sources modeling utilizing artificial neural networks (ANNs), and stochastic energy management and forecasting. His work emphasizes the applications and modeling of ANNs, particularly in the context of environmental fluid mechanics forecasting. Through his innovative research, he aims to enhance the understanding and predictive capabilities related to these critical areas.

 Publication Top Notes:

  • Title: Evidence for interaction between air pollution and high temperature in the causation of excess mortality
  • Cited by: 405
  • Title: 3-Day-Ahead Forecasting of Regional Pollution Index for the Pollutants NO2, CO, SO2, and O3 Using Artificial Neural Networks in Athens, Greece
  • Title: Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece
  • Cited by: 119
  • Title: Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece
  • Cited by: 114
  • Title: Rain intensity forecast using artificial neural networks in Athens, Greece
  • Cited by: 94

 

 

Dr. Jianhuan Cen | AI for Science Awards | Best Researcher Award

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Dr. Jianhuan Cen | AI for Science Awards | Best Researcher Award

Dr. Jianhuan Cen, Sun Yat-sen University, China

Dr. Jianhuan Cen holds a master’s degree in Computational Mathematics and a bachelor’s degree in Information and Computing Science from Sun Yat-sen University, where he has consistently excelled academically and earned multiple scholarships. His research has made significant strides in AI model benchmarking for molecular property prediction and crystal structure prediction using diffusion models, showcasing his ability to integrate deep learning with scientific computation. Dr. Cen’s work has implications for material science and molecular simulation. He is known for his collaborative spirit and leadership in various research projects and software development efforts, and his versatility is evident from his involvement in programming problem review and testing school OJ websites.

Professional Profile:

Scopus
Google Scholar

Educational Background:

Dr. Cen has a robust academic foundation, with a master’s degree in Computational Mathematics and a bachelor’s degree in Information and Computing Science from Sun Yat-sen University, a leading institution in China. He has excelled academically and received multiple scholarships for his achievements.

Technical Skills and Contributions:

He has extensive hands-on experience in distributed computing, high-performance computing, and algorithm implementation using C/C++, Python, and Matlab. Dr. Cen’s project experience includes:

Implementing Locality Sensitive Hashing (LSH) on distributed clusters using Hadoop and Spark.

Developing a Non-Volatile Memory (NVM) based linear hash index, showcasing expertise in advanced database systems and memory environments.

Research Impact:

Dr. Cen has contributed to various high-impact projects, including AI model benchmarking for molecular property prediction and crystal structure prediction using diffusion models. His interdisciplinary work bridges the gap between deep learning and scientific computation, which could have broad applications in areas like material science and molecular simulation.

Collaboration and Leadership:

He has been involved in multiple research projects and collaborative software development efforts, indicating strong teamwork and leadership capabilities. He has also reviewed programming problems and tested school OJ websites, demonstrating his versatility.

Research Excellence:

Dr. Cen’s research focuses on solving high-dimensional partial differential equations (PDEs) using deep learning methods. He has developed innovative approaches that combine cutting-edge deep learning techniques with finite volume methods to tackle these complex problems.

Research Publications

1.  “Adaptive Trajectories Sampling for Solving PDEs with Deep Learning Methods” (Applied Mathematics and Computation).

2.  “Deep Finite Volume Methods for Partial Differential Equations” (SSRN).

Conclusion:

Dr. Jianhuan Cen’s academic achievements, research contributions in deep learning and computational mathematics, and technical prowess make him an outstanding candidate for the Best Researcher Award. His work is not only theoretically rigorous but also practically applicable, showing promise for future advancements in both academic and industrial contexts.

 

 

 

Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

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Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

Prof Dr. Ahmed Ghezal, Department of Mathematics, Abdelhafid Boussouf University Center of Mila, Algeria

Ahmed Ghezal, born on September 21, 1987, in Ain M’lila, Algeria, is a Teaching Researcher holding a University Habilitation in Applied Statistics (May 2018) from USTHB and a Ph.D. in Mathematics specializing in Applied Statistics (May 2015) from UMC. He also earned a Master’s Degree in Mathematics in Probability and Statistics (January 2012) and a Bachelor’s Degree in Mathematics with a focus on Probability and Statistics (June 2009) from UMC. Ahmed has been an Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since May 2018, focusing on studying the probabilistic and statistical properties of linear and nonlinear time series models. His research interests encompass causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators in time series models. 📊

Professional Profile:

Google Scholar

🎓 Education:

Completed his University Habilitation in Applied Statistics from USTHB (May 2018), focusing on Markovian and periodic regime change time series models. Prior to this, he earned a Ph.D. in Mathematics with a specialization in Applied Statistics from UMC (May 2015), where his research delved into asymptotic statistics in Markov-switching bilinear regime change models. He also holds a Master’s Degree in Probability and Statistics (2012) and a Bachelor’s Degree in Mathematics from UMC.

👨‍🏫 Professional Experience:

Currently serving as Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since 2018, and previously as Associate Professor Class B from 2015. He started his academic career as an Assistant Professor at the same university in 2012. Ahmed’s secondary education took place at Chihani Bachir High School in Teleghma, Mila.

📚 Teaching:

Ahmed has taught a variety of courses including Introduction to Random Processes, Ordinary Differential Equations, Inferential Statistics, Analytical Mathematics, Descriptive Statistics, and Complex Analysis.

🔍 Research Area:

His research focuses on the probabilistic and statistical properties of linear and nonlinear time series models. He explores topics such as causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators.

Publication Top Notes:

 

Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

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Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

Mr. Andrew Stewart, Museum of New Zealand Te Papa Tongarewa, New Zealand

Mr. Andrew Stewart, a distinguished alumnus of Victoria University of Wellington 🎓, is a prominent figure at the Museum of New Zealand Te Papa Tongarewa. With a robust career spanning from Assistant Curator to his current role as Curator NE (Fishes), Andrew has made remarkable contributions to the museum’s Vertebrates collection, particularly in Fishes. His leadership has seen the expansion of collections, including a pioneering DNA tissue repository and a cutting-edge alcohol storage facility. Andrew’s taxonomic expertise shines through his extensive publications and contributions to “The Fishes of New Zealand,” solidifying his legacy in fish biology and taxonomy. His dedication has earned him prestigious awards, reflecting his profound impact on the field and his effective science communication efforts 🐟.

🌐 Professional Profile:

Orcid

Education and qualifications

Mr. Andrew Stewart is an alumnus of Victoria University of Wellington in Wellington, NZ, where he earned his Bachelor of Science degree 🎓. His educational journey at this esteemed institution equipped him with the foundational knowledge and skills essential for his career path and ongoing professional development.

Employment Summary

  • 2023–present: Curator NE (Fishes), Museum of New Zealand Te Papa Tongarewa
  • 2018–2023: Assistant Curator: Vertebrates (Fishes), Museum of New Zealand Te Papa Tongarewa

Achievements

Andrew has significantly expanded the Fishes collection, developed a large DNA tissue collection, and led the construction of a state-of-the-art alcohol storage facility. He has been a pivotal figure in media interactions related to fish biology and taxonomy, authored substantial sections of “The Fishes of New Zealand,” and published numerous peer-reviewed papers. His taxonomic expertise is widely recognized, and several fish species bear his name in recognition of his contributions.

Awards and Recognition

Andrew has received accolades such as the best oral presentation at the International Biosafety 8th Annual ABSANZ Conference in 2018 and the Royal Zoological Society of N.S.W. Whitley Medal for his book on the Natural History of Australasian Animals. He was also honored with the New Zealand Association of Scientists’ Science Communicator Award in 1996.

Publication Top Notes:

1.  Upside‐down swimming: in situ observations of inverted orientation in Gigantactis, with a new depth record for the Ceratioidei
Year: 2024-03
2.  Dichichthyidae, a New Family of Deepwater Sharks (Carcharhiniformes) from the Indo–West Pacific, with Description of a New Species
Year: 2024-03-28
3.  The first record of Australian flatback mangrove goby Mugilogobius platynotus (Günther 1861) (Gobiidae; Tridentigerinae) from New Zealand
Year: 2022-05-19
4.  A new species of deep-water triplefin (Pisces: Tripterygiidae) in the genus Ruanoho from coastal New Zealand waters
Year: 2021-06-03
5.  First record of male freshwater eels (Anguilla dieffenbachii) caught at sea
Year: 2019-04-03

 

 

 

Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

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Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

Assist Prof Dr. Rukaiya, Sir Syed University of Engineering and Technology, Pakistan

🎓 Dr. Rukaiya holds a Ph.D. in Computer Engineering from the National University of Sciences & Technology (NUST), Islamabad, Pakistan, where she was awarded the HEC Indigenous Scholarship. Prior to her doctoral studies, she completed an M.S. in Computer Networks and earned her B.S. in Computer Engineering with distinction from Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan. 💼 Dr. Rukaiya has held various teaching and research positions at SSUET, starting as a Junior Lecturer and progressing to her current role as Assistant Professor. Her research interests span a wide range of areas including MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, and Cybersecurity. 🏅 She has made significant contributions to her field, serving as a Session Chair and Secretary at prestigious conferences, delivering talks at workshops and webinars, and acting as a reviewer for esteemed journals and conferences like IEEE Access and PLOS-One. Dr. Rukaiya is actively involved in organizing workshops and events related to research and technology and is affiliated with notable professional organizations including the Higher Education Commission (HEC) and the Pakistan Engineering Council (PEC). 📚

🌐 Professional Profile:

Linkedin

Orcid

🎓 Education:

  • Ph.D. in Computer Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan, 2017-2022 (HEC Indigenous Scholarship).
  • M.S. in Computer Networks, Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan, 2012-2015.
  • B.S. in Computer Engineering (Gold Medallist), SSUET, Karachi, Pakistan, 2007-2011.

💼 Employment History – Teaching and Research:

  • Assistant Professor at SSUET, Karachi (March 2023 – Present).
  • Lecturer at SSUET, Karachi (Feb 2016 – March 2023).
  • Team Lead, Manager Industrial Linkages, Research Associate at SSUET, Karachi.
  • Junior Lecturer at SSUET, Karachi (Aug 2011 – Jan 2016).

🔬 Research Interests:

MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, Cybersecurity, and more.

🏅 Contribution & Recognition:

  • Session Chair at IEEC’23.
  • Session Secretary at IMTIC’23.
  • Session Speaker/Trainer at various workshops and webinars.
  • Reviewer for IEEE Access, PLOS-One, and other conferences.
  • Organizer of workshops and events related to research and technology.

📚 Professional Affiliations:

  • Higher Education Commission (HEC), Pakistan.
  • Pakistan Engineering Council (PEC).
  • Institute of Electrical & Electronics Engineers Pakistan.

Publication Top Notes:

  • A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems
    • Published in IEEE Access.
    • Year: 2022
  • CFFD-MAC: A Hybrid MAC for Collision Free Full-Duplex Communication in Wireless Ad-Hoc Networks
    • Published in IEEE Access.
    • Year: 2021
  • Need-Based and Optimized Health Insurance Package Using Clustering Algorithm
    • Published in Applied Sciences.
    • Year: 2021
  • Self-Forming Multiple Sub-Nets Based Protocol for Tactical Networks Consisting of SDRs
    • Published in IEEE Access.
    • Year: 2020

 

 

 

 

Mr. Payam Seraj | Additive Manufacturing | Best Researcher Award

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Mr. Payam Seraj | Additive Manufacturing | Best Researcher Award

Mr. Payam Seraj, Sharif university of technology, Iran

Mr. Payam Seraj, a dedicated Ph.D. student at Sharif University of Technology in Tehran, Iran, specializing in Materials Science and Engineering since September 2016. 🎓 With an outstanding academic record, he is set to complete his doctoral degree by the summer of 2020, focusing on the microstructural and mechanical properties of metallic additive manufactured parts. 🔬 Prior to his Ph.D., Payam excelled in his Master’s program, earning his degree in September 2016 with a remarkable GPA of 18.70/20 (4/4), conducting research on softening kinetics for a cold-worked AA5052-SiCp composite. 🌐 A dedicated researcher, his expertise spans additive manufacturing systems, computational materials science, and finite element modeling. 🛠️ Mr. Seraj’s commitment to excellence is underscored by his accolades, including being recognized as an Exemplary Teacher Assistant and achieving the top rank among Ph.D. students in Materials Science and Engineering. 🏆 His multifaceted research portfolio reflects a passion for advancing materials science and mechanics, with a focus on innovation and real-world applications. 🌟

🎓 Education :

Meet Mr. Payam Seraj, a dedicated Ph.D. student at Sharif University of Technology in Tehran, Iran, specializing in Materials Science and Engineering since September 2016. With an impressive academic record, he anticipates completing his doctoral degree by the summer of 2020. Payam’s research focus lies in the exploration of microstructural and mechanical properties of metallic additive manufactured parts, showcasing his commitment to advancing materials science. 🎓🔬

Prior to his Ph.D. journey, Payam excelled in his Master’s program at the same institution, earning his degree in September 2016 with a remarkable GPA of 18.70/20 (4/4). His master’s thesis delved into the prediction of softening kinetics for a cold-worked AA5052-SiCp composite, employing cellular automaton simulation techniques. Payam Seraj’s academic journey reflects his passion for pushing the boundaries of materials science and engineering. 📚💡

🌐 Professional Profiles :

Scopus

🧠Research Interests 🔬🌐 :

Mr. Payam Seraj is a dedicated researcher with a profound interest in cutting-edge areas of materials science and mechanics. His expertise spans across additive manufacturing systems, where he explores innovative techniques and technologies shaping the future of manufacturing. 🌐 His focus on computational and numerical materials science involves intricate multiscale modeling, providing insights into the complex interplay of materials at various levels. 🔍 Finite element modeling and simulation form a core aspect of his work, particularly in unraveling the intricacies of heat transfer and deformation processes. ⚙️ Additionally, Mr. Seraj delves into the mechanical and microstructural properties evolving during and after cold-hot metal deformation processes, contributing significantly to the understanding of material behavior under extreme conditions. 💪 His research extends to crucial areas such as fatigue, fracture mechanics, and solid mechanics, where he explores the fundamental aspects influencing material integrity and durability. 🛠️ Overall, Mr. Payam Seraj’s multifaceted research portfolio reflects a commitment to advancing the frontiers of materials science and mechanics, with a keen eye on technological innovation and real-world applications. 🌟

🏆 Awards and Honors :

Mr. Payam Seraj stands as a beacon of excellence in the field of materials science and engineering, adorned with a collection of prestigious awards and honors. 🏆 Recognized as an Exemplary Teacher Assistant in 2017 at Sharif University of Technology in Iran, he demonstrated exceptional dedication to imparting knowledge in the realm of Materials Science and Engineering. 🎓 Since 2016, his academic prowess has consistently shone, securing the top rank among all Ph.D. students in the same department, a testament to his unwavering commitment to scholarly pursuits. 🥇 The accolades extend to his master’s studies, where his outstanding capabilities were acknowledged with the “Exceptionally talented student” award by the office of exceptional talents at Sharif University of Technology in 2016. 🌟 Mr. Seraj’s impressive array of accolades reflects his continuous pursuit of excellence and his significant contributions to the academic community.

📚 Scopus Metrics:

  • 📝 Publications: 6 documents indexed in Scopus.
  • 📊 Citations: A total of 17 citations for his publications, reflecting the widespread impact and recognition of Mr. Payam Seraj’s research within the academic community.

Publications Top Notes  :

1.  Finite element heat transfer analysis in selective laser melting of AlSi10Mg alloy using bi-directional scan strategy: Enhanced thermal conductivity considerations

Journal: Journal of Materials Research and Technology

Published Year: 2023

2.  High strain rate deformation behavior, texture and microstructural evolution, characterization of adiabatic shear bands, and constitutive models in electron beam melted Ti-6Al-4V under dynamic compression loadings

Journal: Journal of Materials Research and Technology

Published Year: 2022

Citations: 2

3.  High strain rate torsional response of maraging steel parts produced by laser powder bed fusion techniques: Deformation behavior and constitutive model

Journal: Mechanics of Materials

Published Year: 2022

Citations: 2

4.  Characterization and statistical modeling of texture and microstructure evolution in dynamically fractured electron beam melted Ti-6Al-4V

Journal: Materialia

Published Year: 2022

Citations: 2

5.  Effect of building direction on high strain-rate compressive behavior of heat-treated LPBF-maraging steels using Split Hopkinson pressure bar apparatus

Journal: Materials Science and Engineering: A

Published Year: 2022

Citations: 7

 

 

 

 

 

Assoc Prof Dr. Evelyn Micelotta | Institutional theory | Best Researcher Award

Published on by Network Awards

Assoc Prof Dr. Evelyn Micelotta | Institutional theory | Best Researcher Award

Assoc Prof Dr. Evelyn Micelotta, University of Ottawa., Canada

🎓 Education :

🎓 Dr. Evelyn Micelotta is a distinguished scholar who has traversed academic realms, shaping her profound expertise. From 2006 to 2009, she pursued a Ph.D. in Management, Economics, and Industrial Engineering at Milan Polytechnic, delving into the intersection of disciplines. Continuing her academic quest, from 2009 to 2015, she earned another Ph.D. at the University of Alberta’s Alberta School of Business, specializing in Strategic Management and Organization. 🌐 Her dual doctorates reflect a commitment to comprehensive learning, blending international perspectives and multidisciplinary insights. 📚

🌐 Professional Profiles : 

Google Scholar

Scopus

🔍 Employment :

👩‍🏫 Dr. Evelyn Micelotta’s academic journey unfolds as a tapestry of impactful roles, each thread woven with expertise and dedication. Since 2020, she has been a beacon of knowledge at the University of Ottawa’s Telfer School of Management, where she serves as an Associate Professor in Management with tenure. 🎓 Her influential presence is further underscored by her esteemed title as the Desmarais Professor in Family Business, a testament to her specialization in this vital field. Prior to her tenure in Ottawa, from 2015 to 2019, Dr. Micelotta made significant contributions as an Assistant Professor of Strategic Management at the University of New Mexico’s Anderson School of Management, leaving an indelible mark on the academic landscape. 🌟

🏆Awards :

Dr. Evelyn Micelotta stands as a beacon of scholarly excellence, adorned with prestigious awards that underscore her remarkable contributions to academia. Her 2022 published paper, “Logics’ shift and depletion of innovation: A multi-level case study of Agile use in a multinational telco company,” clinched the Most Timely Case Study Award, showcasing the timeliness and relevance of her research. 📄 As a testament to her editorial prowess, she received the Editors Reviewer of the Year Award in 2022 from the Journal of Management Studies. 🌟 Additionally, the Academy of Management honored her with the Decade Award in 2021 for the impactful 2011 paper, “Institutional Complexity and Organizational Responses.” 🏛️ Dr. Micelotta’s dedication to advancing knowledge is further exemplified by the Social Sciences and Humanities Research Council (SSHRC) Grant she secured from 2021 to 2025, amounting to CAD$138,000, solidifying her commitment to ongoing research excellence. 💡🔍

🧠 Research Interests 🔬🌐 :

🔍 Dr. Evelyn Micelotta’s academic pursuits delve into the intricate realms of institutional theory, family business dynamics, entrepreneurship, and the nuanced study of occupations and professions within the broader context of management and organization. 🏛️ Her diverse research interests reflect a commitment to unraveling the complexities of societal structures, family enterprises, and the dynamic landscape of entrepreneurial endeavors. 🌐 Dr. Micelotta’s scholarly journey is a vibrant exploration of the multifaceted dimensions shaping the world of management and organizational studies. 🚀

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 20 documents indexed in Scopus.
  • 📊 Citations: A total of 2,559 citations for his publications, reflecting the widespread impact and recognition of Dr. Evelyn Micelotta’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 4986 📖
    • h-index: 10 📊
    • i10-index: 10 🔍
  • Since 2018:
    • Citations: 2908 📖
    • h-index: 10 📊
    • i10-index: 10 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

1.  Institutional complexity and organizational responses

Published: Academy of Management Annals, 2011

Cited By: 3708

2.  Pathways of institutional change: An integrative review and research agenda

Published: Journal of Management, 2017

Cited By: 340

3.  Concealing or revealing the family? Corporate brand identity strategies in family firms

Published: Family Business Review, 2011

Cited By: 324

4.  Institutions and maintenance: The repair work of Italian professions

Published: Organization Studies, 2013

Cited By: 225

5.  The impact of country culture on the adoption of new forms of work organization

Published: International Journal of Operations & Production Management, 2011

Cited By: 120

6.  Industry gender imprinting and new venture creation: The liabilities of women’s leagues in the sports industry

Published: Entrepreneurship Theory and Practice, 2018

Cited By: 65

7.  Beyond the family firm: Reasserting the influence of the family institutional logic across organizations

Published: Institutional Logics in Action, Part B, 2013

Cited By: 61

8.  Family Firms as Institutions: Cultural reproduction and status maintenance among multi-centenary shinise in Kyoto

Published: Organization Studies, 2019

Cited By: 57

9.  When does the family matter? Institutional pressures and corporate philanthropy in China

Published: Organization Studies, 2019

Cited By: 48

10.  Qualitative research in family business: methodological insights to leverage inspiration, avoid data asphyxiation and develop robust theory

Published: Handbook of Qualitative Research Methods for Family Business, 2020

Cited By: 20