Category: Biography

Mahmoud Sajjadi has contributed to several high-impact research papers and conferences, with publications under review in notable journals and conferences. His work has been accepted at prestigious venues such as the IEEE International Conference on Distributed Computing Systems (ICDCS) and the IEEE PES General Meeting. His contributions have an acceptance rate of around 21.9% in highly competitive conferences, reflecting the quality and significance of his research.

Education

Mahmoud holds a Ph.D. in Computer Science and Engineering from the University of Nevada, Reno, expected to be completed in May 2025. He earned his M.Sc. in Electrical Engineering-Control Systems from the University of Tehran, Iran, in 2014, where he focused on simultaneous state estimation and reinforcement learning in stochastic matrix games. He also holds a B.Sc. in Electrical Engineering-Control Systems from Shiraz University of Technology, Iran, obtained in 2011.

Research Focus

Mahmoud’s research focuses on privacy-preserving machine learning, federated learning, and optimization, particularly in power systems. He has developed innovative algorithms and models to enhance the efficiency and security of distributed learning systems. His work includes designing and implementing tree-based and neural network-based event classifiers, improving federated learning privacy, and optimizing machine learning algorithms for heterogeneous clients.

Professional Journey

Mahmoud’s professional journey includes significant roles in academia and industry. As a Graduate Research Assistant at the University of Nevada, Reno, he has made substantial contributions to developing privacy-preserving ML algorithms and distributed learning techniques. Prior to this, he served as a Data Center Designer and Manager at Prochista (Sematec, MCI) in Tehran, Iran, where he led AI model development, data center infrastructure management, and cybersecurity initiatives. He also worked as a Power Specialist Engineer at Arya Heavy Machinery (Caterpillar) in Tehran, guiding technical aspects of generator sales and market analysis.

Honors & Awards

Mahmoud has received several honors and awards, including the GSA Outstanding Graduate Researcher Award from the University of Nevada, Reno, in 2024. He was awarded the TechWise program scholarship by TalentSprint Inc., supported by Google, for the period 2023-2024. He is a member of the National Organization for Development of Exceptional Talents of Iran and has earned multiple certifications in data center design and management.

Publications Noted & Contributions

Mahmoud has numerous publications to his credit, including works under review and accepted papers in prestigious journals and conferences. His notable publications include “Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach,” “Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning,” and “Generative Artificial Intelligence for Distributed Learning to Enhance Smart Grid Communication.” His research contributions span across federated learning, distributed learning, and smart grid communication.

Title: Generative Artificial Intelligence for Distributed Learning to Enhance Smart Grid Communication
Journal: International Journal of Intelligent Networks
Year: 2024
DOI: 10.1016/j.ijin.2024.05.007
Contributors:
- Seyed Mahmoud Sajjadi Mohammadabadi
- Mahmoudreza Entezami
- Aidin Karimi Moghaddam
- Mansour Orangian
- Shayan Nejadshamsi

Summary: The article likely explores the application of generative artificial intelligence (AI) techniques for distributed learning in improving communication within smart grid systems. Smart grids are modern electrical grids that incorporate digital communication technology to monitor and manage electricity supply more efficiently. Enhancing communication within smart grids is crucial for ensuring reliability, efficiency, and resilience in power distribution. By leveraging generative AI, the authors may propose innovative methods to optimize communication protocols, data transmission, or network management within smart grid infrastructures. This research could contribute to advancing the development and implementation of intelligent systems for future energy networks.

Research Timeline

Mahmoud’s research timeline is marked by continuous contributions from 2014 to the present. Starting with his work on simultaneous learning and state estimation during his M.Sc., he has progressively advanced to developing cutting-edge federated learning algorithms and models for power systems and smart grids. His ongoing projects and research efforts reflect his dedication to advancing the field of distributed learning and machine learning applications.

Collaborations and Projects

Throughout his career, Mahmoud has collaborated with esteemed researchers and institutions. At the University of Nevada, Reno, he worked with Dr. L. Yang, F. Yan, and J. Zhang on federated learning and decentralized multi-agent learning projects. His industry collaborations at Prochista involved leading R&D teams and supervising data center construction projects. Mahmoud has also been involved in cross-disciplinary research experiences for undergraduates on big data analytics in smart cities, funded by NSF.

Preeti Singh | Material Science | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Dr. Preeti Singh, Material Science, Best Researcher Award

Doctorate at Indian Institute of Technology ,Delhi

Dr. Preeti Singh is a seasoned researcher in the field of material science with a decade of experience in the synthesis and characterization of single crystal growth, non-linear optical materials, nanostructures for photonics and electro-optic devices, and chemical sensors. She is currently affiliated with the Institute of Chemical Technology in Mumbai and the Indian Institute of Technology in Delhi. Dr. Singh’s research has led to numerous publications and significant contributions to advanced material sciences and technology.

Author Metrics

Dr. Preeti Singh has an impressive record of 43 publications, including 34 in SCI journals and 9 book chapters. Her work has garnered 729 citations, reflecting her influence in the field, with an h-index of 17 and an i10-index of 22.

Education

Dr. Singh completed her Ph.D. in Physics (Material Science) from Jamia Millia Islamia, New Delhi, in 2014, where she researched the microscopic and structural properties of semi-organic and KDP crystals. She also holds an M.Sc. in Physics with a specialization in Material Science from the same institution (2006-2008) and a B.Sc. in Physics, Chemistry, and Mathematics from Ch. Charan Singh University, Meerut (2002-2005).

Research Focus

Dr. Singh’s research interests include the synthesis and characterization of advanced materials, including single crystals and nanostructures. Her work spans photonics, electro-optic devices, water remediation, photocatalysis, and the development of chemical sensors. She aims to develop improved analytical models and methods for the design, evaluation, and upgrade of advanced materials.

Professional Journey

Dr. Singh has held various research and teaching positions throughout her career. She is currently a D.S. Kothari Postdoctoral Fellow at the Institute of Chemical Technology, Mumbai, and IIT Delhi. She has previously been a Postdoctoral Research Fellow at Jamia Millia Islamia and served as a guest teacher in the Department of Applied Sciences and Humanities at Jamia Millia Islamia.

Honors & Awards

Dr. Singh has been awarded several prestigious fellowships, including the UGC D.S. Kothari Postdoctoral Fellowship (2021-2024), the UGC Post Doctoral Fellowship for Women (2015-2020), and the Rajiv Gandhi National Fellowship (2009-2014).

Publications Noted & Contributions

Dr. Singh’s notable publications cover a range of topics from photocatalytic materials to nanocomposites and antimicrobial coatings. Her recent works include research on gold-decorated reduced graphene oxide for photocatalytic performance and reviews on molybdenum disulfide-based flexible nanogenerators.

Growth and Structural Investigation of New Polycrystalline Ga3Se4 Semiconductor: Evaluation of Its Dielectric Properties

Authors: MM Abdullah, P Singh, DP Singh, G Bhagavannarayana, MA Wahab
Journal: Optik-International Journal for Light and Electron Optics
Year: 2013
Summary: This study explores the growth and structural properties of a new polycrystalline Ga3Se4 semiconductor. The researchers evaluate its dielectric properties, providing insights into its potential applications in electronic and optoelectronic devices.

Investigating the Electrocatalytic Oxygen Evolution Reaction of Hydrothermally Synthesized NiFe2O4 Nanoparticles

Authors: SM Bodhale, GA Bhinge, AS Gurav, AD Teli, NN Kengar, AR Vedante, MM Abdullah
Journal: Science of Advanced Materials
Year: 2024
Summary: This paper investigates the electrocatalytic performance of hydrothermally synthesized NiFe2O4 nanoparticles for the oxygen evolution reaction (OER). The study aims to improve the efficiency of OER, which is critical for renewable energy technologies such as water splitting.

In-situ Growth and Potent Photocatalytic Performance of Gold-Decorated Reduced Graphene Oxide (Au/rGO): A Soft Nanocomposite Material

Authors: MMR M.M. Abdullah, Kaushik Pal, Preeti Singh, Hasan B. Albargi, Ravindra D
Journal: Journal of Molecular Liquids
Year: 2024
Summary: This research focuses on the in-situ growth of gold-decorated reduced graphene oxide (Au/rGO) and evaluates its photocatalytic performance. The nanocomposite material shows promise for applications in environmental cleanup and energy conversion.

Frequency and Temperature Dependent Capacitance of ε-GaSe Single Crystals: Evaluation of Its Negative Capacitance

Authors: MM Abdullah, P Singh, G Bhagavannarayana, MA Wahab
Journal: Micro and Nanosystems
Year: 2013
Summary: The article studies the frequency and temperature-dependent capacitance of ε-GaSe single crystals, with a specific focus on the phenomenon of negative capacitance. This property is important for the development of advanced electronic components.

The Study of Effect of MnCl2 Doping on the Growth Rate of KDP Single Crystals using Inverted Microscope and their Characterizations by Powder XRD and HRXRD Techniques

Authors: P Singh, MM Abdullah, M Shakir, M Hasmuddin, MA Wahab
Journal: International Journal of Pure and Applied Physics
Year: 2012
Summary: This paper examines how doping KDP (potassium dihydrogen phosphate) single crystals with MnCl2 affects their growth rate. The study utilizes inverted microscopy, powder XRD, and HRXRD techniques for characterization, providing insights into the material’s structural properties and potential for various applications.

Research Timeline

2021-2024: D.S. Kothari Postdoctoral Fellow at the Institute of Chemical Technology, Mumbai, and IIT Delhi.
2015-2020: Postdoctoral Research Fellow at Jamia Millia Islamia.
2009-2014: Ph.D. research on semi-organic and KDP crystals at Jamia Millia Islamia.

Collaborations and Projects

Dr. Singh has collaborated with numerous researchers and institutions worldwide. She has worked on projects funded by UGC, including research on self-sanitizing fabrics and personal protective clothing, and has been a Co-PI on a research project at Najran University, Saudi Arabia. Her collaborations span institutions in India, Saudi Arabia, and beyond, reflecting a strong international presence in her research endeavors.

Mohammed Yousif Fattah | Geotechnical Engineering | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Prof. Mohammed Yousif Fattah, Geotechnical Engineering,Best Researcher Award

Professor at Mohammed Yousif Fattah, University of Technology – Iraq, Iraq

Dr. Mohammed Yousif Fattah is a distinguished figure in the field of Civil Engineering, specializing in Geotechnical Engineering with a focus on Soil Mechanics and Foundations. With over 25 years of experience, Dr. Fattah has made significant contributions to academia, research, and professional practice. He holds a Ph.D. in Geotechnical Engineering from the University of Baghdad and has served in various leadership roles at the University of Technology, Iraq.

Author Metrics

Mohammed Yousif Fattah has a significant scholarly impact, as evidenced by his Scopus Author Identifier, ORCID profile, and citation metrics. With an ORCID profile (0000-0002-4356-651X), he has amassed 2,450 citations from 1,571 documents. His body of work includes 248 documents, showcasing his prolific output in the field of Civil Engineering, particularly in Geotechnical Engineering.

Citations and Documents

Dr. Fattah’s research has been cited extensively, reflecting the influence and relevance of his work within the academic community. His publications have garnered 2,450 citations, attesting to their significance and contribution to the field. These citations are derived from 1,571 documents, indicating the breadth and depth of his research impact across various scholarly outputs.

h-index

While the specific h-index value is not provided in this excerpt, it is mentioned that Dr. Fattah has an h-index of 27. The h-index is a metric that quantifies both the productivity and impact of a researcher’s work. A value of 27 signifies that Dr. Fattah has published 27 papers that have each received at least 27 citations, demonstrating a strong and sustained influence in his field.

Education

Dr. Fattah’s academic journey began with a Bachelor’s degree in Civil Engineering from the University of Baghdad, followed by a Master’s and Ph.D. in Geotechnical Engineering from the same institution. His educational background has provided him with a solid foundation in the principles and practices of Civil Engineering, particularly in the domain of Geotechnical Engineering.

Research Focus

Dr. Fattah’s research interests lie primarily in Geotechnical Engineering, with a specific focus on Soil Mechanics and Foundations. His work encompasses both theoretical studies and practical applications aimed at addressing challenges in the design, construction, and maintenance of civil infrastructure projects.

Professional Journey

Dr. Fattah’s professional journey spans academia, research, and leadership roles. He has served as a Professor at the Building and Construction Engineering Department of the University of Technology, Iraq, where he has also held positions such as Assistant Professor, Head of Roads and Bridges Branch, and Deputy Dean of the Civil Engineering Department.

Honors & Awards

Throughout his career, Dr. Fattah has been recognized for his contributions to the field of Civil Engineering. His honors and awards highlight his excellence in teaching, research, and service to the academic community.

Publications Noted & Contributions

Dr. Fattah has authored numerous publications in reputable journals, conferences, and books, addressing key issues in Geotechnical Engineering. His research contributions have significantly advanced the understanding and practice of Soil Mechanics and Foundations, with implications for infrastructure development and sustainability.

Title: Behavior of soil reinforced with micropiles

Journal: Open Engineering
Year: 2024
DOI: 10.1515/ENG-2022-0563
WOSUID: WOS:001181328700001
Contributors: Al-Gharbawi, Ahmed S. A.; Fattah, Mohammed Y.; Abduhussain, Sajad Abdullah

Title: Coupled Finite Element and Artificial Neural Network Analysis of Interfering Strip Footings in Saturated Cohesive Soils

Journal: Transportation Infrastructure Geotechnology
Year: 2024
DOI: 10.1007/S40515-023-00369-0
WOSUID: WOS:001138938200001
Contributors: Fattah, Mohammed Y.; Al-Haddad, Luttfi A.; Ayasrah, Mo’men; Jaber, Alaa Abdulhady; Al-Haddad, Sinan A.

Title: Effects of Cement Treatment on Water Retention Behavior and Collapse Potential of Gypseous Soils: Experimental Investigation and Prediction Models

Journal: Advances in Civil Engineering
Year: 2024
DOI: 10.1155/2024/6637911
WOSUID: WOS:001150658200001
Contributors: Abdulameer AlNaddaf, Hussein Q.; Kouzegaran, Saeed; Fattah, Mohammed Y.; Akhtarpour, Ali

Title: Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks

Journal: Asian Journal of Civil Engineering
Year: 2024
DOI: 10.1007/S42107-024-01047-3
Contributors: Luttfi A. Al-Haddad; Yousif M. Al-Muslim; Ahmed Salman Hammood; Ahmed A. Al-Zubaidi; Ali M. Khalil; Yahya Ibraheem; Hadeel Jameel Imran; Mohammed Y. Fattah; Mohammed F. Alawami; Ali M. Abdul-Ghani

Title: Experimental and numerical settlement analysis of railway track over geogrid reinforced ballast

Journal: Railway Sciences
Year: 2024
DOI: 10.1108/RS-11-2023-0042
Contributors: Mohammed Y. Fattah; Mahmood R. Mahmood; Mohammed F. Aswad

Research Timeline

Dr. Fattah’s research timeline illustrates the evolution of his scholarly work, from his early contributions as a graduate student to his current role as a leading authority in Geotechnical Engineering. This timeline provides insights into the progression of his research interests, methodologies, and collaborations over time.

Collaborations and Projects

Dr. Fattah has collaborated with researchers, practitioners, and institutions on various projects aimed at addressing complex challenges in Civil Engineering. These collaborations have facilitated knowledge exchange, interdisciplinary research, and practical solutions for the advancement of the field.

Amit Gupta | Trauma Surgery | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Prof. Amit Gupta, Trauma Surgery, Best Researcher Award

Professor at J P N Apex Trauma Centre, AIIMS, New Delhi, India

Amit Gupta, currently serving as a Professor of Surgery at J.P.N. Apex Trauma Centre, All India Institute of Medical Sciences (AIIMS), New Delhi, India, boasts an extensive professional journey. He holds an MBBS from G.S.V.M. Medical College, Kanpur, India, and an M.S. from King George’s Medical College, Lucknow, India. Gupta has garnered numerous fellowships, including FACS, FRCS (Glasgow), and FCLS, and has received accolades such as the Donald D Trunkey Oration of the International Association of Trauma Surgery & Intensive Care. He is actively involved in various academic and administrative roles, both at AIIMS and within national and international bodies related to trauma care, education, and policy development.

Author Metrics

Gupta’s author metrics reflect a prolific academic career, with a substantial number of publications in peer-reviewed journals, book chapters, and conference proceedings. He is recognized for his expertise in trauma surgery and critical care, evidenced by his contributions to research, education, and policy development in these fields.

Documents: 156 documents authored

Citations: 738 citations received from 691 documents

h-index: 14 (The h-index measures both the productivity and citation impact of the publications).

Education

Gupta’s academic journey includes foundational training in medicine with an MBBS from G.S.V.M. Medical College, Kanpur, India, followed by specialized training in surgery with an M.S. from King George’s Medical College, Lucknow, India. He has also pursued advanced fellowships and training programs both nationally and internationally, focusing on trauma care, acute care education, and laparoscopic surgery.

Research Focus

Gupta’s research interests revolve around trauma surgery, critical care, and acute care education. He has contributed significantly to the advancement of trauma care protocols, simulation-based education, and injury prevention strategies. His research endeavors aim to improve outcomes for trauma patients through evidence-based practices and innovative educational approaches.

Professional Journey

Gupta’s professional journey spans various academic, clinical, administrative, and leadership roles. Starting as an intern and resident surgeon, he has progressed through the ranks to become a distinguished Professor of Surgery at AIIMS, New Delhi. Alongside his clinical practice, Gupta has been actively engaged in teaching, research, policy advocacy, and international collaborations in the field of trauma surgery and critical care.

Honors & Awards

Gupta has been recognized with several prestigious honors and awards for his contributions to the field of surgery, particularly in trauma care. These accolades include orations, fellowships, and best paper awards from renowned international and national organizations such as the American College of Surgeons, International Association of Trauma Surgery & Intensive Care, and Indian Association of Traumatology & Critical Care.

Publications Noted & Contributions

Gupta’s publications encompass a wide range of topics in trauma surgery, critical care, and surgical education. His research contributions have been noted for their impact on clinical practice, education, and policy formulation in trauma care. Gupta has authored numerous peer-reviewed articles, book chapters, and presentations at national and international conferences, contributing to the advancement of knowledge in the field.

Benefits of Rib Fixation Utilizing Low-Cost Materials: A Randomized Pilot Trial

Journal: Journal of Surgical Research
Publication Date: July 2024
DOI: 10.1016/j.jss.2024.04.019
Contributors: Joses Dany James, Narendra Choudhary, Dinesh Bagaria, Jogendra Boddeda, Abhinav Kumar, Pratyusha Priyadarshini, Biplab Mishra, Sushma Sagar, Subodh Kumar, Amit Gupta
Summary: This article reports on a randomized pilot trial investigating the effectiveness and benefits of using low-cost materials for rib fixation. The study aims to explore the feasibility and outcomes of cost-effective surgical solutions in trauma care.

Validation of the Adapted Clavien-Dindo in Trauma (ACDiT) Scale to Grade Management Related Complications at a Level I Trauma Center

Journal: Turkish Journal of Surgery
Publication Date: December 1, 2022
DOI: 10.47717/turkjsurg.2022.5793
Contributors: Niladri Banerjee, Dinesh Bagaria, Harshit Agarwal, Anand Kumar Katiyar, Subodh Kumar, Sushma Sagar, Biplab Mishra, Amit Gupta
Summary: This study focuses on the validation of the Adapted Clavien-Dindo in Trauma (ACDiT) scale, designed to grade complications arising from trauma management. The scale’s validation was conducted at a Level I trauma center, assessing its reliability and applicability.

Factors Associated with Inability to Perform Delayed Primary Fascial Closure of Open Abdomen in Trauma Patients: A Retrospective Observational Study

Journal: Indian Journal of Surgery
Publication Date: October 2022
DOI: 10.1007/s12262-021-03184-4
Contributors: Harshit Agarwal, Dinesh Bagaria, Sushma Sagar, Subodh Kumar, Biplab Mishra, Vignesh Kumar, Niladri Banerjee, Amit Gupta
Summary: This retrospective observational study examines the factors that contribute to the inability to perform delayed primary fascial closure in trauma patients with open abdomens. The findings aim to improve understanding and management strategies for these complex cases.

CT Findings in Renovascular Injuries Following Abdominal Trauma: A Pictorial Review

Journal: Emergency Radiology
Publication Date: June 2022
DOI: 10.1007/s10140-022-02027-3
Contributors: Ankita Dhiman Nair, Atin Kumar, Shivanand Gamanagatti, Amit Gupta, Subodh Kumar
Summary: This article provides a pictorial review of CT findings related to renovascular injuries following abdominal trauma. It aims to enhance diagnostic accuracy and inform treatment decisions in emergency radiology settings.

Current Updates in Acute Traumatic Aortic Injury: Radiologic Diagnosis and Management

Journal: Clinical and Experimental Emergency Medicine
Publication Date: June 30, 2022
DOI: 10.15441/ceem.22.233
Contributors: Shivani Gupta, Atin Kumar, Tejinder Kaur, Shivanand Gamanagatti, Abhinav Kumar, Amit Gupta, Subodh Kumar
Summary: This article discusses the latest updates in the radiologic diagnosis and management of acute traumatic aortic injury. It covers advancements in imaging techniques and therapeutic approaches to improve patient outcomes.

Research Timeline

Gupta’s research timeline reflects a trajectory of continuous scholarly activity and academic growth. Starting with foundational research during his fellowship and residency training, he has progressively expanded his research portfolio, leading to notable contributions in trauma surgery, acute care education, and injury prevention. His research endeavors have been supported by prestigious grants, fellowships, and collaborative projects.

Collaborations and Projects

Gupta’s collaborations and projects extend beyond institutional boundaries, encompassing partnerships with national and international organizations, academic institutions, and government bodies. He has played pivotal roles in multi-disciplinary research initiatives, policy development projects, and educational programs aimed at improving trauma care delivery, enhancing emergency response systems, and advancing surgical education globally.

Sumit Kumar | Data Science | Young Scientist Award

Published on 25/05/202401/07/2024 by Invention Awards

Dr. Sumit Kumar, Data Science, Young Scientist Award

Doctorate at Banshal Alliance University, India

Dr. Sumit Kumar Banshal, a Bangladeshi national, is an Assistant Professor in the Department of Computer Science & Engineering at Alliance University, Bangalore, India. With a PhD in Computer Science from South Asian University, New Delhi, India, Sumit has a strong foundation in academia and research. He is fluent in Bengali, English, Hindi, and Marwari. Sumit’s academic journey has seen him hold various teaching and research positions, including stints as an Assistant Professor and Senior Lecturer at Daffodil International University in Dhaka, Bangladesh. His research interests lie in altmetrics, scientometrics, information retrieval, and text mining.

Author Metrics

Dr. Sumit Kumar Banshal has made significant contributions to the field of computer science, with notable metrics reflecting his impact. He has published 32 papers indexed in Scopus, accumulating over 330 citations and achieving an h-index of 12. Additionally, Sumit is actively involved in the academic community, serving as an associate editor and reviewer for prestigious journals and conferences.

Sumit’s impact and productivity as a researcher. Citations reflect how often his work has been referenced by other researchers, while the h-index measures both the productivity and impact of his published work. The i10-index indicates the number of publications with at least 10 citations. While there’s a slight decrease in metrics since 2019, Sumit’s overall career metrics demonstrate a strong and impactful research profile.

Education

Sumit completed his PhD in Computer Science from South Asian University, New Delhi, India, with a thesis titled “An Analysis of Metrics for Scholarly Articles Derived from Bibliometric and Social Media Data.” Prior to this, he earned his MSc in Computer Science from the same institution. Sumit’s educational journey also includes a BSc (Hons.) in Information & Communication Engineering from the University of Rajshahi, Bangladesh.

Research Focus

Dr. Sumit Kumar Banshal’s research primarily focuses on altmetrics, scientometrics, information retrieval, and text mining. His doctoral thesis analyzed scholarly data using traditional bibliometric methods and social media metrics, aiming to understand the relationship between conventional impact assessments and social media impact assessments. Sumit’s expertise lies in exploring credible factors for higher social media mentions about scholarly data and developing integrated tools for automated social media mention analysis.

Professional Journey

Sumit’s professional journey includes academic positions such as Assistant Professor and Senior Lecturer at Daffodil International University, Dhaka, Bangladesh, and his current role as Assistant Professor at Alliance University, Bangalore, India. He has also served as a teaching assistant and senior software developer, gaining experience in both academia and industry. Sumit’s diverse roles have contributed to his expertise in areas like data mining, web engineering, and database management systems.

Honors & Awards

Throughout his career, Dr. Sumit Kumar Banshal has received recognition for his academic achievements. He has been awarded travel support for attending prestigious international conferences and workshops, including the INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS and the Indo-German Workshop on Information Retrieval, Informetrics & Scientometrics. Sumit has also received fellowships, scholarships, and merit awards in recognition of his research and academic excellence.

Publications Noted & Contributions

Sumit has made significant contributions to the academic literature, with notable publications presented at international conferences and workshops. His research papers cover diverse topics such as sentiment classification, altmetrics, research competitiveness analysis, and characterization of research performance. Sumit’s work has been well-received and cited by peers, contributing to the advancement of knowledge in his field.

Scientometric mapping of research on ‘Big Data’

Cited By: 57

Year: 2015

Designing a Composite Index for research performance evaluation at the national or regional level: ranking Central Universities in India

Cited By: 43

Year: 2016

Research performance of Indian institutes of technology

Cited By: 40

Year: 2017

Quantifying global digital journalism research: a bibliometric landscape

Cited By: 36

Year: 2022

Research performance of central universities in India

Cited By: 34

Year: 2017

Research Timeline

Sumit’s research timeline reflects a progressive journey from his undergraduate studies to his doctoral research and beyond. He began his research journey as a senior software developer, transitioning to roles as a teaching assistant, doctoral research scholar, and ultimately an assistant professor. Along this journey, Sumit has conducted research on various topics, leading to publications, presentations, and collaborations with colleagues and institutions worldwide.

Collaborations and Projects

Dr. Sumit Kumar Banshal has collaborated with researchers and institutions globally on projects related to his research interests. His collaborations have resulted in joint publications, workshops, and conference presentations. Sumit has also supervised master’s and bachelor’s projects, fostering research skills and mentorship among students. His collaborative projects have contributed to the advancement of knowledge and innovation in the field of computer science.

V. Stalin Elanchezhian | Chemosensor | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Dr. V. Stalin Elanchezhian, Chemosensor, Best Researcher Award

Doctorate at S. T. Hindu College, Nagercoil, India

V. Stalin Elanchezhian, a male Assistant Professor at S.T. Hindu College, Nagercoil, holds a Ph.D. in Chemistry from the University of Madras, Guindy Campus. He completed his M.Phil. in Chemistry from Annamalai University. With almost a decade of experience, he specializes in chemosensors and DFT, particularly focusing on multi-channel signaling and molecular logic gate systems. Throughout his career, he has demonstrated expertise in synthesizing and characterizing ferrocene-based chemosensors for detecting environmentally relevant cations and anions.

Author Metrics

Stalin’s research output reflects his impactful contributions to the field of chemistry. His publications have been cited extensively, with notable works cited dozens of times. He has an H-index of 3 based on bibliometrics from Scopus or Web of Science. His cumulative impact factor for the last three years stands at 12.307, indicating the significance and influence of his research within the scientific community.

Citations: With a total of 77 citations, this metric reflects the number of times Stalin’s publications have been referenced in other academic works. This indicates the influence and visibility of his research within the scientific community.

h-index: The h-index is a measure of both the productivity and impact of a researcher’s work. A researcher has an h-index of 3 if they have published at least 3 papers that have each been cited at least 3 times. In this case, Stalin’s h-index is 3, suggesting that he has made significant contributions to the field, with at least three of his papers having been cited three or more times.

i10-index: The i10-index is another measure of a researcher’s productivity and impact, specifically focusing on the number of publications with at least 10 citations. Stalin’s i10-index is also 3, indicating that he has authored at least three papers that have each garnered at least 10 citations.

Education

Stalin earned his Ph.D. in Chemistry from the University of Madras, Guindy Campus, in 2013. Prior to that, he completed his M.Phil. in Chemistry from Annamalai University in 2005. His educational journey has equipped him with the knowledge and skills necessary to pursue advanced research in the field of chemistry.

Research Focus

Stalin’s research primarily revolves around the development and application of ferrocene-based chemosensors. These sensors are designed for the detection of various environmentally relevant cations and anions. His work also encompasses the utilization of DFT (Density Functional Theory) in studying molecular structures and properties, particularly in the context of multi-channel signaling and molecular logic gate systems.

Professional Journey

Stalin’s professional journey spans nearly a decade, starting from his appointment as an Assistant Professor at S.T. Hindu College, Nagercoil, in June 2014. Over the years, he has actively engaged in research, teaching, and extension activities. He has also served as a resource person for scientific programs and provided training to fellow educators and researchers.

Honors & Awards

Throughout his career, Stalin has received several honors and awards in recognition of his contributions to the field of chemistry. He has been awarded prestigious fellowships such as the Junior Research Fellow (JRF) and Senior Research Fellow (SRF) from CSIR. His research has been acknowledged with prizes for oral and poster presentations at national and international conferences.

Publications Noted & Contributions

Stalin’s publications have significantly impacted the field of chemistry, with many of his works cited extensively by fellow researchers. His research on ferrocene-based chemosensors has been published in reputable journals and has demonstrated versatility in detecting various ions. His contributions extend beyond publishing, as he actively participates in scientific programs and conferences, fostering collaboration and knowledge exchange.

“Multi-signaling detection of Hg2+ and Cu2+ by a ferrocene–pyrazole dyad associated with molecular-scale arithmetic”

Published in: Inorganic Chemistry Communications

Year: 2010

Citations: 29

“A ferrocene-based multi-signaling sensor molecule functions as a molecular switch”

Published in: Inorganic Chemistry Communications

Year: 2009

Citations: 28

“Dual chemosensing properties of new ferrocene-based receptors towards fluoride and copper (II) ions”

Published in: Inorganic Chemistry Communications

Year: 2011

Citations: 18

“1-(2, 4-Dinitrophenyl)-5-ferrocenyl-3-methyl-1H-pyrazole”

Published in: Acta Crystallographica Section E: Structure Reports Online

Year: 2008

Citations: 2

“Ferrocene-based chemosensor creates molecular logic circuit for selective detection of Hg2+ and Cu2+”

Published in: Journal of Molecular Structure

Research Timeline

Stalin’s research timeline spans over a decade, starting from his M.Phil. research in 2005 and culminating in his recent publications and achievements. Throughout this journey, he has continuously explored new avenues in chemosensor development, molecular logic gate systems, and DFT applications. His research trajectory showcases a consistent dedication to advancing scientific knowledge and addressing environmental challenges through innovative chemistry.

Collaborations and Projects

Stalin has engaged in collaborative research activities with fellow scientists, both nationally and internationally. These collaborations have led to joint publications and projects, enriching the scope and impact of his research. Additionally, he has undertaken research projects funded by academic institutions and industries, further demonstrating the practical relevance of his work in addressing real-world challenges.

Madhur Gupta | Polymer nanocomposites | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Dr. Madhur Gupta, Polymer nanocomposites, Best Researcher Award

Doctorate at Indian Institute of Technology Bombay, India

Madhur Gupta is a Postdoc Fellow specializing in Metallurgical Engineering and Materials Science at the Indian Institute of Technology, Bombay. With a background in Mechanical Engineering, he holds a Ph.D. from IIT Indore, where his research focused on active vibration control of smart multiscale composite structures. He is adept at multiscale modeling of materials, dislocation dynamics, and micromechanical modeling, with a particular interest in smart composite materials and flexoelectric nanocomposites.

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Madhur Gupta has contributed significantly to the academic community with numerous publications in prestigious international journals. His research work has been well-cited, indicating its impact and relevance in the field. He has also presented his findings at various national and international conferences, further establishing his expertise and recognition in his research area.

Madhur Gupta’s academic impact can be quantified through citation metrics, where his work has garnered 124 citations, resulting in an h-index of 7 and an i10-index of 6. These metrics reflect the number of papers (h-index) that have received at least the same number of citations and the number of papers (i10-index) with at least 10 citations, respectively. These indices demonstrate the significance and influence of his research within the scholarly community, indicating a notable contribution to the field of Metallurgical Engineering and Materials Science.

Education:

Madhur Gupta completed his Ph.D. in Mechanical Engineering from the Indian Institute of Technology, Indore, with a dissertation focusing on active vibration control of smart multiscale composite structures. Prior to his Ph.D., he pursued his M.Tech. in CAD/CAM/CAE from SGSITS, Indore, and his B.E. in Mechanical Engineering from SDITS, Khandwa.

Research Focus:

Madhur Gupta’s research primarily revolves around multiscale modeling of materials, dislocation dynamics, and micromechanical modeling. He specializes in the development and analysis of smart composite materials, flexoelectric nanocomposites, and the application of graphene & CNTs in various engineering domains. His work often involves atomistic modeling and finite element analysis to understand and optimize material behavior and performance.

Professional Journey:

Madhur Gupta’s professional journey includes roles as a Research Assistant and Teaching Assistant at IIT Indore before assuming his current position as a Postdoc Fellow at IIT Bombay. Throughout his academic career, he has mentored both postgraduate and undergraduate students, contributed to various research projects, and actively participated in workshops and training programs to enhance his skills and knowledge.

Honors & Awards:

Madhur Gupta has been recognized for his academic achievements and contributions to research. He has received prestigious fellowships from organizations such as DST, MHRD, and AICTE to pursue his doctoral and master’s degrees. He has also qualified the Graduate Aptitude Test in Engineering (GATE), showcasing his proficiency in the field.

Publications Noted & Contributions:

Madhur Gupta has made significant contributions to the scientific community through his research publications in renowned international journals and presentations at conferences. His work spans various aspects of materials science and engineering, including active vibration control, electromechanical behavior of nanocomposites, and the development of CNT-reinforced polymer nanocomposites for electromagnetic interference shielding.

Title: Conductive polymer nanocomposite incorporated with carbon nanotubes for effective electromagnetic interference shielding: A numerical study

Authors: P. Dubey, M. Gupta, S.I. Kundalwal
Journal: Polymer Composites
Volume: 45
Issue: 4
Pages: 3576-3590
Year: 2024
Citations: 2

Title: Influence of flexoelectric effect on the bending rigidity of a Timoshenko graphene-reinforced nanorod

Authors: S.K. Nevhal, M. Gupta, S.I. Kundalwal
Journal: Journal of the Mechanical Behavior of Materials
Volume: 32
Issue: 1
Pages: 20220295
Year: 2023
Citations: 2

Title: Influence of CNT waviness on the effective Young’s modulus of multiscale hybrid composite

Authors: M. Gupta, N.D. Patil, S.I. Kundalwal
Publication: AIP Conference Proceedings
Volume: 2745
Issue: 1
Year: 2023
Citations: 2

Title: Electromechanical response of boron nitride nanosheet reinforced nanocomposite beam: A finite element study

Authors: P.V. Bansod, M. Gupta, H. Gargama, S.I. Kundalwal
Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …
Year: 2023
Citations: 2
Title: Active vibration control of smart multiscale composite beams plates and shells
Author: M. Gupta
Publication: Indore
Year: 2022
Citations: 2

Title: Influence of thickness parameter on the EMI shielding effectiveness of CBNC in C-band: A numerical study

Authors: P. Dubey, M. Gupta, S.I. Kundalwal
Publication: Materials Today: Proceedings
Year: 2024

Research Timeline:

Madhur Gupta’s research journey has evolved over the years, starting with his academic internships and projects during his master’s and doctoral studies. He has worked on a diverse range of projects, from studying screw dislocation movement in BCC iron to investigating the electromechanical behavior of piezoelectric nanocomposites. His research timeline highlights his continuous exploration and contributions to advancing knowledge in his field.

Collaborations and Projects:

Madhur Gupta has collaborated on various research projects with colleagues and mentors, both within his institute and through external collaborations with organizations like ISRO and DRDO. These projects have ranged from fundamental studies on material behavior to applied research aimed at developing advanced materials for specific engineering applications. His collaborative efforts have enriched his research experience and contributed to the broader scientific community.

Firozeh solimani | Artificial intelligence | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Dr. Firozeh solimani, Artificial intelligence, Best Researcher Award

Doctorate at Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Italy

Firozeh Solimani is a highly motivated researcher specializing in the intersection of agricultural engineering, computer vision, and artificial intelligence. With a PhD in Industry 4.0 from the University Politecnico di Bari, Italy, she has a strong background in mechanical engineering of biosystems and rural development and management engineering. Currently affiliated with the Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, she focuses on innovative methodologies in agriculture for high-throughput plant phenomics using computer vision and AI.

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Firozeh Solimani has established herself as a prolific author in the field of agricultural engineering and plant phenotyping. Her publications have garnered significant attention, as evidenced by citations and journal impact factors. With a consistent track record of high-quality research output, she has become a respected figure in academia and industry.

Citations: Firozeh Solimani’s work has received a total of 49 citations across 48 documents.

Documents: She has authored or co-authored 4 documents indexed in Scopus.

h-index: The h-index, which quantifies both the productivity and impact of an author’s publications, is not explicitly stated but can be inferred to be 3 based on the provided information (as there are at least 3 documents with 3 or more citations each).

Education:

Firozeh Solimani holds a PhD in Industry 4.0 from the University Politecnico di Bari, Italy, where she conducted research on high-throughput plant phenomics using computer vision and AI. Prior to her doctoral studies, she earned an MSc in Mechanical Engineering of Biosystems from Khuzestan University of Agricultural Sciences and Natural Resources, Iran, and a BSc in Rural Development and Management Engineering from Payam Noor Poldokhtar University, Iran.

Research Focus:

Firozeh Solimani’s research focuses on leveraging advanced technologies such as computer vision, artificial intelligence, and machine learning to revolutionize agriculture, particularly in the realm of plant phenotyping. Her work aims to develop innovative methodologies for high-throughput data acquisition and analysis, with the goal of improving crop productivity, sustainability, and resilience in the face of environmental challenges.

Professional Journey:

Firozeh Solimani’s professional journey has been characterized by a dedication to interdisciplinary research and collaboration. Starting with her undergraduate studies in rural development and management engineering, she has progressively delved deeper into the intersection of engineering, agriculture, and technology. Her journey has taken her from Iran to Italy, where she pursued her master’s and doctoral degrees, and she is currently engaged in cutting-edge research at the Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing.

Honors & Awards:

Throughout her career, Firozeh Solimani has been recognized for her outstanding contributions to the field of agricultural engineering. She has received several honors and awards for her research excellence, innovative methodologies, and academic achievements. These accolades reflect her dedication, passion, and commitment to advancing scientific knowledge and addressing real-world challenges in agriculture.

Publications Noted & Contributions:

Firozeh Solimani’s publications have made significant contributions to the field of agricultural engineering and plant phenotyping. Her research outputs range from peer-reviewed articles in prestigious journals to conference presentations and posters. Notable contributions include the development of novel methodologies for high-throughput plant phenotyping using computer vision and AI, optimization of detection algorithms for plant traits, and advancements in hardware and software systems for 3D plant phenotyping.

Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity

Authors: Firozeh Solimani, Cardellicchio, A., Dimauro, G., Cellini, F., Renò, V.
Journal: Computers and Electronics in Agriculture, 2024, 218, 108728
Abstract: This article explores the optimization of tomato plant phenotyping detection using the YOLOv8 architecture, addressing the challenges posed by data complexity.
Citations: 2

A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping

Authors: Firozeh Solimani, Cardellicchio, A., Nitti, M., Dimauro, G., Renò, V.
Journal: Information (Switzerland), 2023, 14(4), 214
Abstract: This systematic review investigates the hardware and software factors that influence high-throughput plant phenotyping.
Citations: 3

Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors

Authors: Cardellicchio, A., Firozeh Solimani, Dimauro, G., Cellini, F., Renò, V.
Journal: Computers and Electronics in Agriculture, 2023, 207, 107757
Abstract: This article presents the detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors.
Citations: 44

Influence of some Operational Parameters on Boom Spray Drift

Authors: Firozeh Solimani, Rahnama, M., Asoodar, M.A., Raini, M.G.N., Hormozi, M.A.
Journal: Agricultural Engineering International: CIGR Journal, 2022, 24(2), pp. 70–82
Abstract: This study investigates the influence of operational parameters on boom spray drift in agricultural applications.
Citations: 0

Research Timeline:

Firozeh Solimani’s research timeline reflects a progressive trajectory of academic and professional growth. Starting with her undergraduate studies in rural development and management engineering, she pursued graduate studies in mechanical engineering of biosystems before transitioning to her doctoral research in Industry 4.0. Her research journey has been characterized by a focus on leveraging advanced technologies to address key challenges in agriculture, culminating in her current work on high-throughput plant phenomics.

Collaborations and Projects:

Firozeh Solimani has been actively engaged in collaborative research projects aimed at advancing agricultural engineering and technology. Her collaborations span academia, industry, and international partnerships, reflecting a commitment to interdisciplinary teamwork and knowledge exchange. Through her involvement in various projects, she has contributed to the development of innovative methodologies, technologies, and solutions for enhancing crop productivity, sustainability, and resilience.

Lorenzo Casavecchia | Finance | Best Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Assist Prof Dr. Lorenzo Casavecchia, Finance, Best Researcher Award

Assistant Professor at UTS Business School, Australia

Dr. Lorenzo Casavecchia is a distinguished academic and finance professional currently serving as a Senior Lecturer and Associate Head of the Finance Department at the UTS Business School, University of Technology Sydney. With a robust background in both academia and the financial industry, Dr. Casavecchia has made significant contributions to finance and economics through his research, teaching, and professional engagements.

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Dr. Casavecchia’s research has been widely recognized and published in high-impact journals. His work is frequently cited, reflecting its influence and relevance in the field of finance. He has authored multiple refereed journal articles, contributing valuable insights into fund management, investment analysis, and financial risk management.

Dr. Casavecchia’s scholarly impact is evidenced by 116 citations across 106 documents, reflecting the widespread recognition and influence of his research. He has authored 14 documents, and his h-index of 6 highlights his substantial contributions to the field, indicating that at least six of his publications have been cited six times or more.

Education

Dr. Casavecchia holds a Ph.D. in Finance and Economics from the University of Technology Sydney, awarded in 2008. He also earned a Bachelor of Economics (Honours) from Bocconi University in Milan, Italy, in 2001. Additionally, he has completed executive education programs at Columbia University (Financial Engineering and Risk Management, 2023) and the University of Geneva (Portfolio and Risk Management, 2023).

Research Focus

Dr. Casavecchia’s research primarily focuses on value and growth stocks, fund management, mutual fund performance, and risk management. His empirical and theoretical work explores the dynamics of financial markets, investor behavior, and the impact of managerial decisions on fund performance.

Professional Journey

Dr. Casavecchia’s professional journey includes significant roles in both academia and the financial industry. Before his current role at UTS, he was a Senior Lecturer at Macquarie University and a Postdoctoral Research Fellow at the University of Technology Sydney. His non-academic career includes positions as a Senior Equity Analyst at Morgan Stanley and a Corporate Bond Trader at Intesa Private Banking.

Honors & Awards

Dr. Casavecchia has received numerous awards for his teaching and research. Notably, he was awarded the Best Paper Award at the Financial Management Association Annual Meeting and the Finance and Corporate Governance Conference. He has also been recognized with honorarium awards from the Financial Management Association and Erasmus University.

Publications Noted & Contributions

Dr. Casavecchia has an extensive publication record. Some of his noted works include “Fund Flow Diversification: Implications for Asset Stability, Fee-Setting and Performance,” published in the International Journal of Financial Analysis, and “The Impact of Analyst Forecast Errors on Fundamental Indexation: The Australian Evidence,” published in the Journal of Asset Management. His contributions have significantly advanced the understanding of mutual fund performance and risk management.

“The impact of analyst forecast errors on fundamental indexation: the Australian evidence” (Journal of Asset Management, 2022):

Authors: Casavecchia, L., Hambusch, G., Hitchen, J.

This article likely examines how errors in analyst forecasts affect fundamental indexation, focusing on evidence from Australia.

“Jack of all trades versus specialists: Fund family specialization and mutual fund performance” (International Review of Financial Analysis, 2019):

Authors: Casavecchia, L., Ge, C.

Explores the performance differences between diversified fund families and specialized ones.

“What moves benchmark money market rates? Evidence from the BBSW market” (Pacific Basin Finance Journal, 2018):

Authors: Casavecchia, L., Loudon, G.F., Wu, E.

Investigates the factors influencing benchmark money market rates, with evidence from the BBSW market (Bank Bill Swap Rate).

“Are mutual fund investors paying for noise?” (International Review of Financial Analysis, 2018):

Authors: Casavecchia, L., Hulley, H.

Explores whether mutual fund investors are essentially paying for noise in financial markets.

“Managerial incentives for risk-taking and internal capital allocation” (Australian Journal of Management, 2017):

Authors: Casavecchia, L., Suh, J.Y.

Analyzes managerial incentives for risk-taking and their impact on internal capital allocation within firms.

Research Timeline

Dr. Casavecchia’s research timeline spans over two decades, beginning with his early work as a Research Fellow at Bocconi University in 2001. Since then, he has continually contributed to the field through his roles in academia and various research projects, leading to numerous publications and conference presentations.

Collaborations and Projects

Throughout his career, Dr. Casavecchia has collaborated with esteemed colleagues and institutions. His research projects have received significant funding, including a $180,000 grant for performance evaluation and portfolio risk analysis from the University of Technology Sydney. His collaborative efforts extend to projects on fund flow diversification and mutual fund performance, contributing to the broader financial research community.

Diksha Gupta | Mathematical Sciences | Women Researcher Award

Published on 25/05/202401/07/2024 by Invention Awards

Dr. Diksha Gupta, Mathematical Sciences, Women Researcher Award

Doctorate at Ajeenkya DY Patil University, Pune, India

Dr. Diksha Gupta is an accomplished Assistant Professor at Ajeenkya D Y Patil University, Pune, holding a Ph.D. in Mathematical Sciences from the esteemed Indian Institute of Technology (BHU), Varanasi. With a strong educational background in Mathematics, including a Master’s and Bachelor’s degree from the University of Allahabad, U.P., India, Dr. Gupta’s expertise lies in the field of fuzzy sets theory and its applications.

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