Zhen Li, Information Technology, Best Researcher Award

Doctorate Zhen Li: Lecturer in College of Computer and Control Engineering at Northeast Forestry University, China

Dr. Zhen Li is currently a lecturer at the College of Computer and Control Engineering, Northeast Forestry University, Harbin, China. He has developed expertise in the fields of wireless communication and networking technologies, with a research focus that aligns with modern advancements in 5G and beyond. Over the years, he has contributed significantly to the study of integrated terrestrial–satellite communication systems and energy-efficient wireless technologies. His work reflects a balanced combination of theoretical rigor and practical application, aimed at solving real-world communication challenges.

Online Profiles

Scopus Profile

Citations: 15 citations across 15 documents
h-index: 2 (This indicates Dr. Li has at least 2 publications that have been cited at least 2 times each.)

Dr. Li is actively engaged in the academic community through several online platforms. His Scopus ID is 57206873472, where his research metrics and indexed publications are maintained. He is also encouraged to register or link his work through ORCID to enhance his research visibility and integrity in global academic networks. Additionally, profiles on platforms like Google Scholar, ResearchGate, and IEEE Xplore likely host his publications and citation data, contributing to a broader dissemination of his research outputs.

Education

Dr. Zhen Li has a strong academic background in information and communication technologies. He received his B.S. degree in Information Countermeasure Technology from Harbin Institute of Technology in 2012. He furthered his education internationally with an M.S. degree in Electronic and Information Engineering from City University of Hong Kong in 2014. He completed his Ph.D. in Information and Communication Engineering at Harbin Institute of Technology, one of China’s top research universities. This combination of domestic and international education has provided him with a broad perspective on both theoretical foundations and global research trends.

Research Focus

Dr. Li’s research is primarily centered around integrated satellite–terrestrial networks (ISTNs), which bridge the gap between space-based and ground-based communications. He also investigates physical-layer network coding (PLNC) to improve spectral efficiency and reliability, and simultaneous wireless information and power transfer (SWIPT) to enable sustainable and energy-efficient network operations. These topics are crucial for future wireless infrastructure where robust connectivity and power efficiency are vital. His studies explore how to optimize network performance in terms of outage probability, throughput, and energy consumption in hybrid environments.

Experience

With years of teaching and research experience, Dr. Li serves as a faculty member at Northeast Forestry University, contributing to both academic instruction and scientific advancement. He is involved in mentoring students, supervising graduate theses, and participating in funded research projects. His teaching portfolio includes subjects related to communication systems, signal processing, and wireless networking. He collaborates with peers and institutions domestically and internationally to pursue interdisciplinary research goals, bringing both technical innovation and academic leadership to his department.

Research Timeline

Dr. Li’s research journey began during his undergraduate studies and evolved significantly through his graduate and doctoral education. From 2012 to 2014, he explored electronic systems and communication theory, and by 2015 he began focusing on the integration of satellite and terrestrial networks. Between 2018 and 2021, he expanded his work to include energy harvesting and coding techniques for wireless systems. Since 2022, his research has emphasized optimization techniques for hybrid systems using SWIPT and PLNC, producing several impactful journal papers. His academic development reflects a consistent commitment to high-impact, future-facing research themes.

Awards & Honors

Although no specific awards or fellowships are publicly listed, Dr. Li’s publication record in high-quality, peer-reviewed journals like Sensors and his contributions to state-of-the-art communication systems suggest significant recognition in his field. His research has been cited and acknowledged by fellow scholars, indicating influence within the wireless communication and satellite network communities. Participation in funded projects and invited contributions to technical publications are further indicators of his respected standing among academic peers.

Top-Noted Publication

One of Dr. Li’s most cited and notable works is the 2025 paper titled “Outage Performance of SWIPT-D2D-Based Hybrid Satellite–Terrestrial Networks”, published in the journal Sensors. This study presents a novel analysis of the outage performance in a device-to-device (D2D) assisted hybrid satellite–terrestrial network using simultaneous wireless information and power transfer. By deriving closed-form expressions and validating them through Monte Carlo simulations, the research offers practical insights into designing robust and energy-efficient hybrid networks. This publication has attracted citations for its depth of analysis and relevance to emerging wireless technologies.

Bhushan Birari, Agriculture, Best Innovator Award

Doctorate Bhushan Birari: Ph. D. Scholar at Department of Plant Pathology, Dr. PDKV, Akola, India

Bhushan P. Birari is a dedicated professional in the field of Plant Pathology, with a strong academic foundation and extensive experience in agricultural research. With a Ph.D. in Agricultural Sciences from Dr. PDKV, Akola, and a Master’s in Plant Pathology, Bhushan has contributed significantly to the understanding of plant diseases, specifically through his work in biocontrol and mushroom production. His multifaceted approach integrates practical field trials with cutting-edge laboratory techniques.

Online Profiles

ORCID Profile

You can find Bhushan P. Birari’s professional profiles and research work across multiple platforms, including LinkedIn, ResearchGate, and Google Scholar, where he regularly updates his publications, research interests, and career achievements. His email is bhushanbirari8@gmail.com for professional inquiries. Bhushan is actively involved in various international agricultural communities and journals, reflecting his commitment to the global agricultural landscape.

Education

  • Ph.D. (Agri.) in Plant Pathology – Dr. PDKV, Akola

  • M.Sc. (Agri.) in Plant Pathology – Dr. PDKV, Akola

  • B.Sc. Agriculture – MPKV, Rahuri
    Bhushan’s academic journey has been marked by his in-depth study of plant diseases, molecular techniques, and their practical applications in agriculture, preparing him for a career dedicated to advancing agricultural research.

Research Focus

Bhushan’s research focus centers on plant pathology, particularly in the areas of disease management in crops like crucifers. His work includes the isolation and surveying of pathogens, plant virology, and the use of biocontrol agents such as Trichoderma species. Bhushan is also focused on the practical applications of molecular markers in plant pathology, integrating both in vitro and in vivo trials for better disease control and management strategies.

Experience

With over three years of professional experience as an Assistant Professor at HHSSMS College of Agriculture, Bhushan has been integral in various academic and research-driven initiatives. He played a pivotal role in establishing the biocontrol laboratory and mushroom production unit, along with supervising and evaluating field trials. His research articles and popular articles in Marathi and English, as well as his participation in numerous national and international seminars, highlight his active engagement in the scientific community.

Research Timeline

  • Aug 2017 – Oct 2018: Assistant Professor at HHSSMS College of Agriculture, Malegaon, Nashik

  • 2019 – 2025: Ongoing doctoral research in Plant Pathology at Dr. PDKV, Akola

  • 2015 – 2017: Graduate research and thesis work at Dr. PDKV, Akola
    Throughout his research career, Bhushan has produced 12 research articles, contributed to 5 national/international conference abstracts, and participated in several research training programs, reflecting his commitment to advancing agricultural science.

Awards & Honors

  • Qualified ASRB NET with a score of 62.59%.

  • Lifetime membership in 2 renowned agricultural journals.

  • Recognized for significant contributions in plant pathology, including field trials for disease management.
    His achievements showcase not only academic excellence but also a deep dedication to practical, field-based solutions in agriculture.

Top-Noted Publication

Bhushan’s most notable publications include several research articles on the management of plant diseases in crucifers and the application of molecular markers in plant pathology. His research has been presented in international journals and conferences, contributing to advancements in biocontrol strategies and pathogen management. These publications are well-regarded in the scientific community for their practical applications in improving agricultural productivity.

One of Bhushan P. Birari’s most impactful research contributions is the article titled “Fungicidal profiling of Trichoderma asperellum mutants released volatile and non-volatile compounds against Fusarium oxysporum f. sp. ciceri, published in the Archives of Phytopathology and Plant Protection on January 20, 2025. The article explores the efficacy of Trichoderma asperellum mutants in releasing both volatile and non-volatile compounds that target and inhibit the growth of Fusarium oxysporum, a notorious plant pathogen. This work, co-authored with Sunil Ingle, Shyamsundar Mane, and Shrikant Bramhankar, is an essential contribution to the biocontrol field. [DOI: 10.1080/03235408.2024.2448279]

Strength for the Best Innovator Award

  1. Commitment to Agricultural Innovation
    Bhushan has demonstrated significant contributions to agricultural innovation through his novel approach to disease management in crops. His research on the use of Trichoderma asperellum mutants to control Fusarium oxysporum showcases his ability to bring innovative solutions to plant disease management, benefiting both the scientific community and agricultural practitioners.

  2. Research Excellence in Biocontrol
    Bhushan’s pioneering research on biocontrol agents has opened new avenues for sustainable agriculture. His work involves leveraging biological organisms like Trichoderma to reduce dependency on chemical fungicides, promoting an environmentally-friendly alternative to plant disease management.

  3. Cross-Disciplinary Expertise
    His expertise blends molecular biology, plant virology, and field-based trials, allowing him to integrate cutting-edge laboratory findings with real-world agricultural needs. Bhushan’s work demonstrates his ability to think outside the box and apply complex scientific techniques to practical problems in agriculture.

  4. Leadership and Collaboration
    Bhushan has shown exceptional leadership in his role as an Assistant Professor at HHSSMS College of Agriculture, where he initiated the biocontrol laboratory and mushroom production unit. His collaboration with multiple international researchers, reflected in his co-authored publications, speaks volumes about his teamwork and leadership in advancing agricultural research.

  5. Top-Noted Publication and Recognition
    Bhushan’s publication titled “Fungicidal profiling of Trichoderma asperellum mutants released volatile and non-volatile compounds against Fusarium oxysporum f. sp. ciceri” in the Archives of Phytopathology and Plant Protection is a significant contribution to the biocontrol field. The paper underscores his innovative thinking and ability to explore new frontiers in plant health management. His research has earned him widespread recognition, cementing his place as a leading innovator in plant pathology.

Prasanna R, Engineering, Best Researcher Award

Doctorate. R. Prasanna: Assistant Professor at SRM Institute of Science and Technology, India

Dr. R. Prasanna is a dynamic academician, researcher, and mentor with over 12 years of rich teaching experience in the field of Electronics and Communication Engineering. His expertise lies in Antenna and RF–Microwave Engineering with a special focus on biomedical and IoT-based applications. He is a recognized Ph.D. Research Supervisor under Anna University (Ref No: 4140101) and has guided numerous students in both academic and professional capacities. With a passion for innovation, he has contributed significantly to cutting-edge areas such as UWB antennas for healthcare, 5G antenna design, and smart sensor systems. In addition to his academic contributions, he is a strong advocate of skill-based education and has launched a YouTube channel titled “Passionate Professor” to support learning through technology and motivation.

Online Profiles

Google Scholar Profile

Scopus Profile

ORCID Profile

Dr. Prasanna actively engages with the academic and professional community through various digital platforms. He shares educational content and placement preparation resources on his YouTube channel, which features over 140 videos. His LinkedIn profile reflects his extensive professional activities, while his ORCID tracks his research contributions. He can be contacted via email at professorprasannaece@gmail.com and is available for academic collaborations, guest lectures, and mentoring.

Education

Dr. Prasanna holds a Ph.D. in Antenna and RF–Microwave Engineering from Anna University (2016–2022), where his thesis focused on the implementation of Ultra-Wide Band (UWB) antennas for blood Prothrombin Time detection—a novel solution for medical diagnostics. He earned his M.E. in Communication Systems (2009–2011) from GKM College of Engineering and Technology, Perungalathur, graduating with First Class. He completed his B.E. in Electronics and Communication Engineering (2004–2008) from VRS College of Engineering and Technology, Villupuram, also with First Class. His academic journey laid the foundation for a multidisciplinary approach that bridges electronics, healthcare, and embedded systems.

Research Focus

Dr. Prasanna’s research primarily revolves around Ultra-Wide Band (UWB) communication, RF and microwave systems, and wireless sensor networks. A significant portion of his work applies these technologies to the healthcare sector, notably in non-invasive patient monitoring, cardiovascular diagnostics, and touchless sensing using flexible antenna substrates. He also explores Cognitive Radio, MIMO systems, wearable electronics, and reconfigurable antenna design. His multidisciplinary collaborations and innovative methods have resulted in several high-impact publications, patents, and real-time system prototypes aimed at solving practical problems in medical, vehicular, and smart city domains.

Experience

Currently serving as an Assistant Professor at SRM Institute of Science and Technology (since June 2023), Dr. Prasanna brings rich experience from his previous roles at Sri Sai Ram Institute of Technology and Mailam Engineering College. He has taught core subjects such as RF and Microwave Engineering, Communication Theory, Wireless Networks, and IoT for over a decade. Beyond teaching, he has held critical roles including NBA Coordinator, Placement Training Coordinator, and NAAC Chapter Leader. His excellence in mentorship, curriculum design, and placement training has positively impacted hundreds of students in securing positions in top-tier MNCs and core industries.

Research Timeline

Dr. Prasanna’s research journey began with a focus on mobile ad hoc networks and cryptographic security, but evolved rapidly into the application of RF and UWB systems in biomedical engineering. His doctoral work introduced a UWB antenna for blood coagulation monitoring, positioning his research at the intersection of healthcare and wireless technologies. From 2019 onward, he expanded into touchless monitoring, smart wearable devices, and pandemic-specific applications like asymptomatic COVID-19 detection. He has published 7 SCI-indexed and 2 Scopus-indexed journal papers, filed 5 patents, and presented over 15 papers in international and national conferences, earning accolades and best paper awards.

Awards & Honors

Dr. Prasanna has received numerous awards in recognition of his academic excellence and student-centered contributions. These include the “Best Teacher Award” (2017–2018), “Best Student Motivator Award” (2020–2021), and a special Recognition Award from Anna University for publishing in Q1 journals. His research received the “Best Presentation Award” at IIT Kharagpur (CESSGS 2020) and the “Best Paper Award” at ICCEBS 2023. As a placement coordinator, he consistently achieved the highest number of student placements and was honored with multiple awards for excellence in student training and MNC hiring support.

Top-Noted Publication

Among his highly cited works, the article titled “Early Detection of Acute Coronary Syndrome Through Prothrombin Time Measurement Using Flexible UWB Antenna for Cardiac Patient”, published in Biomedical Signal Processing and Control (2022), stands out. With an impact factor of 5.076, this SCI and Scopus-indexed paper bridges RF antenna engineering with medical diagnostics, providing a novel UWB-based method for real-time PT measurement. This paper is a hallmark of Dr. Prasanna’s interdisciplinary vision and is widely referenced in ongoing research in wearable and non-invasive healthcare technologies.

1. Enhanced Blood Prothrombin Time Detection Deploying Flexible Substrate UWB Antenna from Artifacts Removed Pure Plasma Through Statistical Multiple Regression Modelling

Journal: Computers and Electrical Engineering
Date: March 2025
DOI: 10.1016/j.compeleceng.2024.109963
Contributors: R. Prasanna, M. Jenath, M. Vinoth, J. Joseph Ignatious, M. S. Maharajan, P. Banu Priya
Summary: This work demonstrates an advanced method for detecting prothrombin time (PT) levels, a crucial parameter for assessing blood clotting, through a flexible substrate UWB antenna. By leveraging statistical multiple regression models, this paper offers a breakthrough in improving accuracy and eliminating interference caused by artifacts, achieving more reliable PT detection. This method paves the way for non-invasive, portable medical diagnostic systems for better patient care.


2. Effective Biomedical System for Detecting, Tracking, and Preventing Asymptomatic COVID-19 Patients Non-Invasively Using IoT and Mixed Reality

Journal: International Journal for Multiscale Computational Engineering
Date: 2024
DOI: 10.1615/INTJMULTCOMPENG.2023050009
WOSUID: WOS:001267929500001
Contributors: R. Prasanna, T. Ragupathi, N. Ganesh Kumar, B. Prathaban, S. Aswath, R. Rajesh Kanna
Summary: This innovative biomedical system aims to detect and track asymptomatic COVID-19 cases through non-invasive methods using IoT devices and mixed reality. The system integrates real-time health data monitoring, contact tracing, and predictive modeling to provide a comprehensive early warning system. It offers a promising approach to mitigating the spread of the virus by enabling real-time diagnostics and preventive measures, especially in resource-limited environments.


3. An Early Warning System for Driver Fatigue Detection Using Viola-Jones Over HOG Algorithm

Conference: Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
Date: 2023
DOI: 10.1109/ICCEBS58601.2023.10448968
WOSUID: INSPEC:24868850
Contributors: B.P. Prathaban, R. Subash, D.F.D. Shahila, M. Jenath, R. Prasanna
Summary: This paper presents an intelligent system for detecting driver fatigue using a combination of the Viola-Jones algorithm and Histogram of Oriented Gradients (HOG). The system uses facial recognition techniques to monitor driver alertness and issue real-time warnings when fatigue is detected. It enhances road safety by providing a proactive solution for preventing accidents due to driver drowsiness.


4. Automated Driving Licensing System Based on Wireless Sensor Networks and IoT

Conference: Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
Date: 2023
DOI: 10.1109/ICCEBS58601.2023.10448936
WOSUID: INSPEC:24868949
Contributors: R. Prasanna, M. Jenath, B.P. Prathaban, M.H. Masood, H.U. Habiba, R.R. Kanna
Summary: This research introduces an automated driving licensing system that utilizes wireless sensor networks (WSNs) and IoT technologies to assess a driver’s abilities and road safety knowledge. The system measures driver response times, vehicle control skills, and environmental awareness. It has the potential to revolutionize the process of issuing driving licenses, ensuring only qualified drivers are authorized to drive on roads.


5. Automatic Traffic Sign Board Detection from Camera Images Using Deep Learning and Binarization Search Algorithm

Conference: International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
Date: 2023
DOI: 10.1109/RAEEUCCI57140.2023.10134376
WOSUID: INSPEC:23202273
Contributors: A. Ashwini, K.E. Purushothaman, B.P. Prathaban, M. Jenath, R. Prasanna
Summary: This paper focuses on automating the detection of traffic signs using deep learning algorithms. The model is trained to recognize and classify traffic sign boards from camera images and uses a binarization search algorithm to enhance detection accuracy under various lighting conditions. The proposed system could improve driver assistance systems, enabling real-time traffic sign recognition and enhancing road safety.

Fulin Zhou, Engineering, Best Researcher Award

Doctorate Fulin Zhou: Associate Professor at Shanghai Jiao Tong University, China

Dr. Fulin Zhou is an Associate Professor at the School of Ocean and Civil Engineering at Shanghai Jiao Tong University, specializing in underwater acoustics. His research explores both theoretical and experimental aspects of acoustic wave propagation and scattering, with a focus on complex structures such as inflatable systems, cylindrical shells, and acoustic black holes. With a strong foundation in mechanical and ocean engineering, Dr. Zhou has made significant contributions to underwater detection technologies, structural acoustics, and sonar system development. He has published extensively in peer-reviewed journals and frequently collaborates with domestic and international researchers to address critical challenges in underwater sensing and acoustic modeling.

Online Profiles

Scopus Profile

ORCID Profile

Although Dr. Zhou does not currently maintain an official LinkedIn or academic personal website, his work is accessible through institutional platforms and major academic databases such as Elsevier, Springer, and IEEE Xplore. His publications can be found by searching his name on Google Scholar or institutional repositories. He is actively engaged with the research community through academic conferences, journal editorial activities, and collaborative research programs.

Total Publications (Scopus-indexed): 26
Citations: 69 (by 55 documents)
h-index: 6

Education

Dr. Zhou received his Ph.D. in Underwater Acoustics from the School of Ocean and Civil Engineering at Shanghai Jiao Tong University in June 2019. During his doctoral studies, he focused on acoustic scattering theory and its applications in underwater environments. His academic training combines advanced fluid dynamics, structural mechanics, and signal processing, providing a multidisciplinary platform for addressing complex acoustic phenomena. His commitment to academic excellence has been demonstrated through consistent scholarly output and rigorous peer-reviewed research since his graduation.

Research Focus

Dr. Zhou’s research centers on underwater acoustics, with special emphasis on the acoustic behavior of submerged elastic and composite structures. He investigates how sound waves interact with objects such as cylindrical shells, inflatable bodies, and structures containing acoustic black holes, aiming to improve sonar detection and underwater communication techniques. His work also includes the development of acoustic barcodes for underwater target identification, scattering pattern modeling at low frequencies, and understanding bistatic and subcritical scattering properties. His research supports both theoretical advancements and real-world engineering applications, particularly in ocean exploration, defense technology, and maritime structural design.

Experience

Since joining Shanghai Jiao Tong University, Dr. Zhou has progressed from Assistant Professor to Associate Professor, reflecting his academic contributions and leadership in research. He has led multiple research projects funded by national science foundations and internal university grants. His responsibilities include supervising postgraduate research, publishing high-impact papers, contributing to curriculum development, and collaborating with interdisciplinary teams. Beyond his academic duties, he regularly participates in technical symposiums and serves as a reviewer for prominent journals in acoustics and marine engineering.

Research Timeline

Dr. Zhou’s research trajectory began with foundational work during his Ph.D. on acoustic backscattering from submerged structures. From 2019 to 2022, his focus expanded into multi-shell acoustic interactions and low-frequency scattering analysis. In 2023, he presented his findings at the International Conference on Acoustics in Sydney, marking a significant milestone in his international academic engagement. Between 2023 and 2025, his work has evolved into more applied areas, including acoustic material design and experimental verification of inflatable underwater structures, leading to several high-impact publications and recognition within the field.

Awards & Honors

Dr. Zhou has received internal commendations from Shanghai Jiao Tong University for academic excellence and has been recognized for his contributions to research in ocean and civil engineering. While specific national or international awards have not been listed, his work’s impact is evident through citations, peer recognition, and inclusion in prestigious journals such as Applied Acoustics, Physics of Fluids, and Ocean Engineering. His role as a corresponding author on several collaborative studies reflects his leadership in guiding innovative and interdisciplinary research.

Top-Noted Publication

One of Dr. Zhou’s most recognized works is the 2025 paper titled “Flexible Inflatable Structures in Underwater Acoustics: Scattering Experiments”, published in Applied Acoustics. This study explored the acoustic scattering properties of inflatable underwater structures, offering a novel approach to sonar stealth and identification applications. The research combined experimental data and simulation results to demonstrate how flexible, pressure-sensitive surfaces interact with underwater sound waves. This paper has been widely cited and praised for its originality, technical rigor, and potential impact on both military and civilian underwater technologies.

1. Zhou, F., Wang, Z., Liu, Z., Xiong, J., Peng, Z., & Fan, J. (2025). Flexible inflatable structures in underwater acoustics: Scattering experiments. Applied Acoustics, Article 110825. https://doi.org/10.1016/j.apacoust.2025.110825
ISSN: 0003-682X / 1872-910X | EID: 2-s2.0-105005006023
This paper introduces innovative acoustic scattering experiments involving flexible inflatable underwater structures, contributing novel insights into stealth design and target identification.

2. Li, B., Zhou, F., Wang, Z., Yang, Y., Fan, J., & Wang, B. (2025). Bistatic subcritical scattering characteristics of a buried solid-filled cylindrical shell at low-frequency. Ocean Engineering, Article 121542. https://doi.org/10.1016/j.oceaneng.2025.121542
ISSN: 0029-8018 | EID: 2-s2.0-105005105253
A comprehensive low-frequency scattering analysis offering valuable implications for sonar detection of buried objects in marine environments.

3. Wang, W.-T., Wang, B., Fan, J., & Zhou, F.-L. (2024). Acoustic radiation characteristics of partially immersed and filled cylindrical shell (部分浸没充液无限长圆柱壳声辐射特性研究). Journal of Ship Mechanics, Issue 1, 2024. https://doi.org/10.3969/j.issn.1007-7294.2024.01.013
ISSN: 1007-7294 | EID: 2-s2.0-85182747297
This research explores acoustic radiation from cylindrical shells under partial immersion, with applications in ship noise modeling and control.

4. Xu, S., Peng, Z., Zhou, F., Miu, X., & Ke, H. (2024). Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers. Archives of Acoustics, 49(1). https://doi.org/10.24425/aoa.2024.148815
ISSN: 0137-5075 / 2300-262X | EID: 2-s2.0-85213816482
A predictive model for analyzing static acoustic scattering of marine propellers, aiding in noise signature reduction of naval vessels.

5. Ke, H., Peng, Z., Zhou, F., & Chen, T. (2024). Prediction Method and Characteristics of Static Acoustic Scattering from Marine Propellers (船用螺旋桨静态声散射预报方法及特性). Acta Armamentarii (兵工学报). https://doi.org/10.12382/bgxb.2023.0017
ISSN: 1000-1093 | EID: 2-s2.0-85195030656
This article complements previous work on marine acoustics with a focus on propeller noise prediction methods and their implications in underwater acoustics.

Nisarg Purabiarao, Engineering, Best Researcher Award

Doctorate Nisarg Purabiarao: Research Scholar at Kyushu Institute of Technology, Japan

Purabiarao Nisarg Hirens is a materials science researcher specializing in the development of next-generation biodegradable and wearable electronics. Currently serving as a MEXT-funded Research Scholar at the Kyushu Institute of Technology, Japan, he is actively engaged in designing and optimizing flexible energy devices including piezoelectric nanogenerators and quantum dot solar cells. His research integrates both experimental fabrication and computational simulations to enhance device performance, sustainability, and integration into real-world applications. With publications in high-impact journals and presentations at international conferences, he has emerged as a promising early-career researcher in flexible electronics and sustainable energy systems.

Online Profiles

ORCID Profile

Education

Nisarg is currently completing his Master of Technology in Biodegradable Electronics at the Kyushu Institute of Technology, with an expected graduation in September 2025. He is set to begin his Ph.D. in the same field and institute from October 2025, continuing under the Japanese Government’s MEXT Research Scholarship. His education combines interdisciplinary knowledge in materials science, nanotechnology, organic electronics, and energy harvesting systems. His academic training also includes prior research work at the Indian Institute of Technology, Indore (IIT Indore), where he developed key foundational skills in thin-film fabrication and semiconductor materials.

Research Focus

Nisarg’s primary research revolves around the fabrication and performance enhancement of flexible, biodegradable electronic devices such as piezoelectric nanogenerators, organic thin-film transistors (OTFTs), and quantum dot solar cells. He is especially interested in surface/interface engineering, defect tuning, lattice strain modulation, and polymer semiconductors like P3HT. His work also explores sustainable alternatives in device architecture for environmentally friendly, self-powered systems. The broader objective of his research is to enable practical applications of these devices in areas such as wearable health monitoring, portable energy sources, and green electronics.

Experience

Over the past four years, Nisarg has built a robust profile in both theoretical and applied research. At IIT Indore, he worked on nanomaterials for piezoelectric applications, gaining hands-on experience in hydrothermal synthesis, UV laser texturing, and material characterization. Since joining Kyutech in 2023 as a MEXT Research Scholar, he has led and co-authored several high-impact studies on ZnO-based energy harvesters and quantum dot solar cells. He has collaborated with interdisciplinary teams, presented internationally, and integrated simulation tools like SCAPS-1D to complement experimental findings. His research experience reflects a blend of innovation, sustainability, and practical device engineering.

Research Timeline

Nisarg’s research progression demonstrates a structured and impactful trajectory. In 2022, he began working on nanogenerators using laser-textured substrates at IIT Indore. In 2023, he transitioned to Japan under the MEXT scholarship and joined Kyutech, expanding his scope to include colloidal quantum dots and organic semiconductors. In 2024 alone, he co-authored three journal articles and presented at six notable international conferences, including ISOME and SAES. His Ph.D. starting in October 2025 will focus on biodegradable device integration for real-world wearables and low-power electronics, further pushing the boundary of eco-friendly energy solutions.

Awards & Honors

Nisarg has received multiple accolades recognizing his academic excellence and research contributions. He was awarded the prestigious MEXT Scholarship by the Government of Japan for both his M.Tech and upcoming Ph.D. studies, covering full tuition and research support. He won the Best Poster Award at the International Conference on New Materials for Industry and Medicine (NMIM-24) in 2024 for his work on ZnO-based nanogenerators. He has also been recognized as a lead presenter at several international events across Japan and India for his innovative contributions to the fields of organic semiconductors and piezoelectric energy harvesting.

Top-Noted Publication

Among his notable works, the 2023 publication titled “Investigations on the Effect of Laser Texturing of Kapton Polyimide on the Piezoelectric Response of ZnO-Based Nanogenerators” in Physica Status Solidi A stands out for its pioneering approach in enhancing nanogenerator performance. The study demonstrated a more than threefold improvement in output voltage and current by using laser-textured polyimide substrates, offering a practical path for high-efficiency, flexible energy harvesters. This work has been widely cited and appreciated for its experimental rigor and direct applicability in self-powered electronics and wearable devices.

  • Purabiarao, N. H., Bhargava, K., & Pandey, S. S. (2025). Enhancing the performance of PbS colloidal quantum dot solar cell: A computational study on absorber crystallinity and interfacial defect engineering. Next Materials, 8, 100689. https://doi.org/10.1016/j.nxmate.2025.100689

  • Purabiarao, N. H., Lahane, T. K., Agarwal, J., Sahu, A., Singh, V., & Palani, I. A. (2023). Investigations on the Effect of Laser Texturing of Kapton Polyimide on the Piezoelectric Response of ZnO‐Based Nanogenerators. Physica Status Solidi (a), 2300255. https://doi.org/10.1002/pssa.202300255

Mahamat Nour Issa Abdallah, Engineering, Young Researcher Award

Asst. Prof. Mahamat Nour Issa Abdallah: Student at Beijing Jiaotong University, China

 

Nourissa Abdallah is a dedicated civil engineer with a strong academic foundation and diverse practical experience across China and the United Arab Emirates. He has demonstrated expertise in site supervision, fit-out inspection, project documentation, and coordination with regulatory authorities. His professional journey reflects a consistent focus on project delivery, construction quality assurance, and stakeholder communication. Nourissa is recognized for his organizational skills, multilingual communication abilities (English, Arabic, Mandarin), and in-depth understanding of local construction standards. He is currently serving as the Engineering Department Supervisor at Origin International Management L.L.C, where he leads multidisciplinary coordination efforts for commercial fit-out and building approval projects.

Online Profiles

ORCID Profile

Nourissa maintains an active online presence through LinkedIn, where he shares insights on construction management, authority approval processes, and project execution strategies. He is open to networking with professionals and industry leaders in the fields of engineering, architecture, and infrastructure development.

Education

  1. Nourissa earned his Bachelor of Science degree in Civil Engineering from Shenyang Jianzhu University, China, in 2020. During his undergraduate years, he developed strong foundational skills in structural analysis, construction materials, and project supervision. Currently, he is pursuing a Master’s degree in Civil Engineering at Beijing Jiaotong University, with a focus on advanced construction management and sustainable urban infrastructure. His education blends technical coursework with practical case studies, preparing him for high-impact roles in engineering and development sectors in international environments.

Research Focus

Nourissa’s research interests revolve around modern civil engineering practices that integrate smart technologies, energy efficiency, and safety systems into commercial and residential building projects. He is particularly focused on the optimization of fit-out procedures, fire safety compliance (such as FACP and Hassantuk systems), and the alignment of shop drawing designs with regulatory authority standards like ADDC, ADCD, and DMT. He is also exploring how digital tools and BIM (Building Information Modeling) can improve coordination, reduce project delays, and ensure long-term sustainability in urban construction.

Experience

Over the span of four years, Nourissa has held multiple technical and supervisory roles in the construction sector. He started as an intern at Shenyang ZhongHeng Construction Engineering L.L.C, where he gained exposure to quality control, drawing reviews, and site inspections. He then served as a Site Engineer at DHCN Construction L.L.C in Dubai, managing daily reports, material requests, inspection coordination, and NCR follow-ups. Currently, he is employed as the Engineering Department Supervisor at Origin International Management L.L.C in Abu Dhabi. In this role, he manages authority submissions, organizes annual shop inspections, handles tenant billing for utilities, and ensures timely project handovers to clients. His cross-functional skills bridge engineering execution with regulatory compliance.

Research Timeline

  • 2019–2020: Participated in an internship at Shenyang ZhongHeng Construction Engineering, engaging in technical drawing reviews, labor monitoring, and on-site QC reporting.
  • 2021–2022: Worked as a Site Engineer with DHCN Construction L.L.C in Dubai, focusing on material estimation, RFI submissions, NCR resolutions, and site supervision of security fencing and concrete works.
  • 2022–Present: Serves as Engineering Department Supervisor at Origin International in Abu Dhabi, responsible for project documentation, coordination with consultants, shop drawing approvals, and managing inspection processes with local authorities such as ADDC and ADCD.

Awards & Honors

Throughout his professional journey, M. Nourissa has received internal recognition from project managers and department heads for his proactive problem-solving and reliable execution. At Origin International Management L.L.C, he was commended for successfully managing multiple authority approvals and efficiently coordinating fire system installations across complex commercial projects. He has also been appreciated for his leadership in handling cross-functional teams, his commitment to safety standards, and his effective communication with clients and contractors.

Top-Noted Publication

While Nourissa’s career has been heavily focused on practical site engineering and project execution, he is currently drafting a technical report titled “Fit-Out Compliance and Fire Safety Integration in UAE Commercial Projects”. This upcoming publication will highlight challenges and solutions in obtaining authority approvals, the role of engineering documentation in fire control compliance (Hassantuk & FACP systems), and lessons learned from his experience managing fit-out inspections in Abu Dhabi. The publication aims to support engineers and project managers working within the UAE’s rigorous regulatory framework.

One of M. Nourissa Abdallah’s most notable scholarly contributions is the journal article titled “Mitigation Measures for Wind Erosion and Sand Deposition in Desert Railways: A Geospatial Analysis of Sand Accumulation Risk,” published in Sustainability on April 29, 2025. This research presents a comprehensive geospatial analysis of sand accumulation risks affecting railway infrastructure in desert environments, emphasizing preventive engineering strategies and spatial planning. The study identifies high-risk zones for sand deposition using GIS-based modeling and proposes mitigation techniques such as optimized fencing, vegetation barriers, and landform adjustments. Co-authored with Tan Qulin, Mohamed Ramadan, and Providence Habumuremyi, this work advances knowledge on sustainable infrastructure development in arid regions. DOI: 10.3390/su17094016

Dahai Wang, Engineering, Best Researcher Award

Doctorate at Dahai Wang: Researcher at Sinopec Petroleum Exploration and Production Research Institute, China

Dahai Wang is a researcher at Sinopec Petroleum Exploration and Production Research Institute, specializing in fine-grained sedimentary reservoir research. With a Ph.D. in Geological Resources and Geological Engineering, he has become a leading figure in petroleum exploration. His expertise lies in geological modeling, reservoir heterogeneity analysis, and the exploration of unconventional gas reservoirs, particularly in the Ordos Basin. Wang’s innovative approach integrates cutting-edge techniques in geological evaluation, enhancing the efficiency of gas field development. He is recognized for his pivotal role in developing strategies that have led to breakthroughs in reservoir characterization, fluid flow mechanisms, and hydraulic fracturing optimization. His research aims to advance understanding in both conventional and unconventional hydrocarbon exploration, with a keen focus on subsalt and helium-rich gas reservoirs.

Online Profiles

ORCID Profile

Dahai Wang maintains a professional digital footprint to stay connected with the global scientific community. His ORCID profile showcases his academic contributions and ongoing research. In addition, his LinkedIn profile offers insights into his professional network and career trajectory, providing a platform to exchange ideas with peers in geological research and petroleum engineering. His online presence serves as a hub for his publications, conference presentations, and collaboration opportunities.

Education

Dahai Wang completed his Ph.D. in Geological Resources and Geological Engineering at Southwest Petroleum University in June 2020. His dissertation focused on the exploration and development of low-permeability oil and gas reservoirs, a subject central to his ongoing research. Wang also holds a postdoctoral entry certificate and other relevant academic certifications that complement his extensive knowledge of petroleum exploration, sedimentary geology, and reservoir engineering. His academic training has positioned him as a thought leader in geological research and exploration technologies, enabling him to make significant contributions to the scientific community.

Research Focus

Wang’s primary research interest is in fine-grained sedimentary reservoirs, particularly their geological modeling, fluid migration mechanisms, and their role in unconventional gas exploration. His recent work delves into subsalt reservoir evaluation, gas reservoir heterogeneity, and the development of helium-rich gas resources in the Ordos Basin. He has pioneered the use of advanced computational techniques to create more accurate reservoir models and predict fluid flow behavior in complex subsurface environments. Additionally, his research is expanding the understanding of the geological conditions necessary for helium enrichment, which is a key area of focus for future energy solutions. His work has practical implications for improving the exploration, development, and sustainability of energy resources.

Experience

Dahai Wang has held key positions in major research projects, first as an engineer at the Research Institute of Petroleum Exploration and Development, CNPC, and now as a researcher at Sinopec Petroleum Exploration and Production Research Institute. During his tenure at CNPC, Wang led the “Demonstration Project for Large Low-Permeability Lithologic Oil and Gas Reservoirs in the Ordos Basin,” focusing on overcoming challenges in reservoir characterization and optimization of hydraulic fracturing techniques. This project led to improvements in production rates and the development of more accurate prediction models for reservoir behavior. Currently, at Sinopec, Wang is leading major science and technology projects that target subsalt reservoirs, Lower Paleozoic gas reservoirs, and helium-rich gas reservoirs. His leadership has resulted in the identification of new exploration targets and improved techniques for assessing subsalt reservoirs, significantly reducing exploration risks.

Research Timeline

  • 2021-2023: As an engineer at CNPC, Wang played a central role in developing an integrated reservoir prediction and fracturing design system. His work contributed to a 10% increase in annual production at the Changqing Oilfield, providing critical insights into reservoir characterization and optimization strategies.
  • 2023-Present: At Sinopec, Wang has spearheaded major research projects targeting the evaluation and development of subsalt Ordovician reservoirs, Lower Paleozoic gas reservoirs, and helium-rich gas accumulations. His research has led to the identification of new exploration targets with over 500 BCM of potential gas resources in the Ordos Basin and has contributed to the discovery of China’s first bauxite-hosted helium reservoir.

Awards & Honors

Wang’s groundbreaking research has earned him several prestigious awards. In 2023, he received Asia’s Outstanding Researcher Award for his contributions to the exploration of unconventional gas reservoirs. He has also been recognized with awards such as the National Scholarship and the China Scholarship Council, showcasing his academic excellence. His research has received accolades for its impact on the petroleum industry, particularly in advancing the understanding of low-permeability and subsalt reservoirs. His ability to tackle complex geological problems has earned him a reputation as an innovator in petroleum research.

Top-Noted Publication

Among his top publications is “Identifying the Key Control Factors of Deep Marine Shale Gas Reservoirs: A Case Study on Lower Cambrian Fine-Grained Sedimentary Rocks in Cen Gong, Guizhou, China,” published in Minerals in May 2025. This paper highlights the key geological factors influencing deep marine shale gas reservoirs and provides a case study of the Lower Cambrian rocks in Southern China. Wang’s research has been widely cited for its insights into shale gas properties and its contribution to optimizing shale gas exploration strategies. Another significant paper, “The Resource Potential and Development Prospect of Helium in Changqing Gas Field,” published in Geofluids in July 2022, discusses the untapped potential of helium resources in the Changqing field, marking a significant step in the exploration of rare gas resources.

Identifying the Key Control Factors of Deep Marine Shale Gas Reservoirs: A Case Study on Lower Cambrian Fine-Grained Sedimentary Rocks in Cen Gong, Guizhou, China
Published in Minerals on May 9, 2025. This article explores the key geological factors that control deep marine shale gas reservoirs, focusing on a case study of Lower Cambrian fine-grained sedimentary rocks in Cen Gong, Guizhou.
DOI: 10.3390/min15050505
Contributors: Dahai Wang, Lichi Ma, Qian Yu, Tao Zhang, Jian Bai, Chuan An, Chuntang Li, Jun Peng

Microscopic Pore Structure Characteristics and Controlling Factors of Marine Shale: A Case Study of Lower Cambrian Shales in the Southeastern Guizhou, Upper Yangtze Platform, South China
Published in Frontiers in Earth Science on April 10, 2024. This paper examines the microscopic pore structure and the controlling factors of marine shale gas reservoirs in the Southeastern Guizhou region of China.
DOI: 10.3389/feart.2024.1368326
Contributors: Ruyue Wang, Yuejiao Liu, Zhi Li, Dahai Wang, Guanping Wang, Fuqiang Lai, Zhihao Li, Jianhua He

The Resource Potential and Development Prospect of Helium in Changqing Gas Field
Published in Geofluids on July 23, 2022. This paper investigates the resource potential of helium in the Changqing Gas Field, offering insights into its future development prospects.
DOI: 10.1155/2022/9094667
Contributors: Dahai Wang, Jinbu Li, Zhanhai Yu, Ji Zhang, Lili Liu, Feng Xiao, Changan Shan

Influence of Organic Matter on Gas-Bearing Properties and Analysis of Sedimentary Mechanism of Organic Matter Enrichment: A Case Study on the Yangtze Region of Southern China During the Early Cambrian
Published in Geofluids on February 4, 2022. This article examines the role of organic matter in gas-bearing properties and analyzes the sedimentary mechanism of organic matter enrichment in the Yangtze region of southern China.
DOI: 10.1155/2022/8714919
Contributors: Qinyu Li, Kun Zhang, Lin Wei, Dahai Wang, Zhiyuan Chen, Xiangdong Yin, Fengli Han, Pei Liu, Liangyi Tang, Xuejiao Yuan

A New Method for Calculating the Cementation Exponent of Triple-Porosity Media Reservoirs
Published in Geofluids on January 10, 2022. This paper introduces a new method for calculating the cementation exponent in triple-porosity media reservoirs, a significant advancement for reservoir evaluation.
DOI: 10.1155/2022/4336067
Contributors: Dahai Wang, Jinbu Li, Lili Liu, Ji Zhang, Zhanhai Yu, Jun Peng

Determination of the Appropriate Value of m for Evaluation of Carbonate Reservoirs With Vugs and Fractures at the Well-Log Scale
Published in Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description on June 1, 2019. This paper presents methods for determining the appropriate value of “m” for evaluating carbonate reservoirs, focusing on those with vugs and fractures at the well-log scale.
DOI: 10.30632/pjv60n3-2019a6
Contributors: Southwest Petroleum University, Dahai Wang, Jun Peng

·  Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs
Published in Sustainability on March 31, 2019. This article discusses the application of a Support Vector Machine algorithm to automatically identify depositional microfacies using well logs, offering a machine learning-based approach for geological studies.
DOI: 10.3390/su11071919
Contributors: Dahai Wang, Jun Peng, Qian Yu, Yuanyuan Chen, Hanghang Yu

Shashi Bhushan, Computer Science, Best Researcher Award

Doctorate Shashi Bhushan: Senior Lecturer at University Teknologi PETRONAS, Malaysia

Dr. Shashi Bhushan is a highly accomplished Associate Professor at Universiti Teknologi PETRONAS (UTP), Malaysia, affiliated with the Centre for Intelligent Signal and Imaging Research (CISIR). With a robust background in computer science and computational intelligence, he has established himself as a leading researcher in biomedical image processing and signal analysis. Over the years, Dr. Bhushan has developed an interdisciplinary research portfolio that integrates artificial intelligence, deep learning, and medical diagnostics. His work is dedicated to solving real-world problems in healthcare, focusing on automated systems for disease detection, classification, and decision support. He actively collaborates with national and international institutions and contributes as a reviewer and editor for several high-impact scientific journals.

Online Profiles

Google Scholar Profile

ORCID Profile

  • Citations: 703

  • h-index: 17

  • i10-index: 26

Dr. Shashi Bhushan maintains an active online academic presence through several platforms. His UTP official profile provides detailed information on his teaching, research interests, and institutional contributions. His Scopus profile showcases his indexed publications and citation metrics, reflecting the impact of his research. Through his Google Scholar page, readers can track his h-index, i10-index, and recent scholarly contributions. On ResearchGate, Dr. Bhushan actively shares preprints, project updates, and engages with the broader research community. These platforms collectively reflect his research influence and collaborative efforts.

Education

Dr. Bhushan holds a Doctor of Philosophy (Ph.D.) in Computer Science with a specialization in computational and biomedical systems. His doctoral work focused on the development of hybrid intelligent algorithms for image classification and signal processing, particularly in the domain of healthcare analytics. Prior to his Ph.D., he earned a Master’s degree and a Bachelor’s degree in Computer Science and Engineering, where he laid the foundational knowledge in programming, machine learning, and embedded systems. His academic training has enabled him to bridge the gap between traditional computing and next-generation intelligent systems for practical, high-impact applications.

Research Focus

Dr. Bhushan’s research primarily lies in the areas of computational intelligence, machine learning, biomedical image processing, and intelligent signal interpretation. His key interests include the development of AI algorithms for early disease detection, such as brain tumors, breast cancer, and neurodegenerative conditions. He also investigates EEG and ECG signal analysis for predictive diagnostics and real-time monitoring. His recent work focuses on convolutional neural networks (CNNs), hybrid feature extraction techniques, deep belief networks (DBNs), and fuzzy logic systems. With a commitment to practical relevance, his research often results in prototype systems and software tools for medical professionals and researchers.

Experience

Dr. Bhushan brings over 15 years of academic and research experience to his role as Associate Professor at Universiti Teknologi PETRONAS. Throughout his career, he has taken on responsibilities as a lecturer, supervisor, research leader, and technical committee member. He has supervised multiple Ph.D. and Master’s students, and he has published extensively in reputed journals and conferences. Dr. Bhushan has secured numerous research grants and has led projects involving AI-based healthcare applications and intelligent signal systems. Beyond research, he is also active in academic governance, curriculum development, and mentoring young researchers, contributing holistically to academic excellence.

Research Timeline

Dr. Bhushan’s research trajectory reflects continuous growth and innovation. From 2010 to 2015, during his Ph.D. years, he developed hybrid intelligent models for image processing. Between 2016 and 2019, he expanded his work into biomedical applications, specifically targeting brain imaging and EEG-based analysis. From 2020 onward, his focus has been on integrating deep learning with classical signal processing techniques to enhance the accuracy and speed of automated diagnostic systems. His recent work also includes AI-powered frameworks for real-time healthcare monitoring and cross-disciplinary projects involving industrial and academic partners.

Awards & Honors

Dr. Bhushan has received several accolades in recognition of his scholarly contributions. He has been awarded multiple Best Paper Awards at international IEEE and Scopus-indexed conferences. His innovative work in biomedical signal classification earned him research excellence awards from UTP and other collaborating institutions. He has also received prestigious grants and funding from government and industry for leading-edge projects in artificial intelligence and healthcare technology. His research impact is acknowledged globally through invitations as keynote speaker, session chair, and editorial board member of reputed journals.

Top-Noted Publication

Among Dr. Bhushan’s impactful publications, his paper titled “A hybrid model for brain tumor classification using convolutional neural networks and handcrafted features” published in Biomedical Signal Processing and Control stands out. This work combines deep learning with traditional feature extraction to create a robust diagnostic tool capable of classifying complex brain tumor types with high accuracy. The study is widely cited and has influenced subsequent research in AI-assisted medical imaging. It demonstrates Dr. Bhushan’s unique ability to merge theory with clinical relevance, leading to improved decision support tools in radiology and oncology.

  • Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study
    Authors: H Palivela, M Narvekar, D Asirvatham, S Bhusan, V Rishiwal, U Agarwal
    Published in: IEEE Access, 2025
  • Design and Study of Single Array and 2 x 2 Array Patch Array Antenna
    Authors: AR Sharmila, AK Singh, S Bhushan
    Published in: Proceedings of the 4th International Conference on Machine Learning, Advances in …, 2025
  • Beyond Blockchain: Reviewing the Impact and Evolution of Decentralized Networks
    Authors: RKYMK Shashi Bhushan, Sharmila Arunkumar, Neha Goel
    Published in: 2024
  • DeepSplice: A Deep Learning Approach for Accurate Prediction of Alternative Splicing Events in the Human Genome
    Authors: M Abrar, D Hussain, IA Khan, F Ullah, MA Haq, MA Aleisa, A Alenizi, …
    Published in: Frontiers in Genetics, 2024
  • Design and Study of Single Array and 2× 2 Array Patch Array Antenna
    Authors: A Rajeev, AK Singh, S Bhushan, DD Dominic
    Published in: International Conference on Machine Learning, Advances in Computing …, 2024

Andrea Darù, Chemistry, Best Researcher Award

Doctorate Andrea Darù: Postdoc at The University of Chicago, United States

Andrea Darù, PhD, is a dedicated computational chemist with a deep passion for computational modeling and simulation across inorganic, organic, and biological systems. With over 10 years of experience, he specializes in porous materials design, including Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and other surface materials. Darù has a strong background in quantum chemistry techniques, such as density functional theory (DFT), ab initio methods, and Monte Carlo simulations, and has extended his expertise to machine learning applications in chemistry. His research focuses on the design of novel materials for catalysis and climate solutions, and he is motivated to bridge the gap between computational studies and experimental research. His interdisciplinary approach combines computational chemistry with cutting-edge experimental work, contributing to innovations in catalysis and sustainable energy.

Online Profiles

ORCID Profile

Education

Andrea completed his Ph.D. in Chemistry at KU Leuven in Belgium in 2020, specializing in non-noble metal catalysis and computational simulations of chemical reactions. His doctoral work was part of the Marie Skłodowska-Curie Initial Training Network project, Horizon 2020 NoNoMeCat, where he investigated the role of metal clusters in catalysis. Before his Ph.D., Andrea earned dual Master’s degrees in Chemistry from the University of Zaragoza (Spain) and University of Ferrara (Italy) in 2015 and 2013, respectively. His academic journey provided him with a strong foundation in computational chemistry, leading to his passion for applying computational methods to real-world challenges in catalysis and material science.

Research Focus

Andrea’s primary research interest lies in the computational design of porous materials, particularly Metal-Organic Frameworks (MOFs) and Covalent Organic Frameworks (COFs). His work is geared toward solving global challenges like sustainable energy, carbon capture, and water harvesting. By using advanced computational tools such as DFT, Monte Carlo simulations, and machine learning, he explores the thermo- and electro-catalytic processes in CO2 conversion, aiming to create novel materials for energy storage and environmental solutions. His other research areas include molecular qubits for quantum computing, catalysis mechanisms, and the development of tools for high-throughput screening of potential framework materials. He also curates extensive databases of porous materials, contributing to the open science movement.

Experience

Andrea Darù’s postdoctoral work at the University of Chicago (2022 – present) focuses on the development of generative tools for rapid identification and design of novel reticular frameworks, particularly those suited for CO2 conversion and water harvesting. His work has led to the conceptualization of a novel iron-sulfur-based coordination polymer for electrocatalysis, and his contributions to the field of COF design have influenced both academia and industry. Prior to this, Andrea was a Postdoctoral Associate at Scripps Research (2020 – 2022), where he led computational studies on metal-catalyzed reactions, optimizing reaction conditions and developing microkinetic models to understand catalytic mechanisms. His Ph.D. research at KU Leuven (2016 – 2020) focused on non-noble metal catalysis in cross-coupling reactions, uncovering new insights into the catalytic role of iron clusters, which challenged existing paradigms in catalysis. Andrea also completed an internship at Syngenta (Switzerland) in 2018, where he employed Fukui functions to develop descriptors for organic molecule databases.

Research Timeline

  • Dec 2022 – Present: Postdoctoral Researcher at The University of Chicago, working on developing generative tools for materials discovery, CO2 conversion catalysis, and COF-based atmospheric water harvesting.
  • Oct 2020 – Dec 2022: Postdoctoral Associate at Scripps Research (San Diego), focusing on computational modeling of metal-catalyzed reactions, including ligand design and microkinetic modeling.
  • Apr 2016 – Sep 2020: Doctoral Researcher at KU Leuven (Belgium), specializing in non-noble metal catalysis and computational simulations for cross-coupling reactions.
  • Jan – Mar 2018: Intern at Syngenta (Switzerland), developing a database of organic molecules using Fukui functions as molecular descriptors.

Awards & Honors

Andrea has been recognized for his excellence in research and mentorship. In 2024, he received the Maria Lastra Postdoctoral Scholar Excellence in Mentoring Award (Honorable Mention) from the University of Chicago, highlighting his commitment to fostering the next generation of scientists. In 2023, he earned a certificate in Entrepreneurship for Science and Medicine from the University of Chicago Booth School of Business, expanding his understanding of the commercial application of scientific research. Andrea also recently completed the AI Agents Fundamentals certification from Hugging Face in February 2025, reflecting his growing interest in the intersection of AI and computational chemistry.

Top-Noted Publication

Andrea Darù has authored several highly cited papers, particularly in the field of catalysis and porous materials design. Notably, his paper “Symmetry is the Key to the Design of Reticular Frameworks” (Advanced Materials, 2025) explores the role of symmetry in the rational design of reticular frameworks. Another highly impactful publication, “Pinpointing the Onset of Water Harvesting in Reticular Frameworks from Structure” (ACS Central Science, 2025), delves into the design principles that enable effective atmospheric water harvesting using COFs. His work on iron-catalyzed Kumada cross-coupling reactions, “Iron-catalyzed Kumada Cross-coupling Reaction Involving Fe8Me12- and Related Clusters: A Computational Study” (ACS Catalysis, 2022), challenged traditional concepts in metal catalysis and remains a reference in the field.

 

Symmetry is the Key to the Design of Reticular Frameworks
Advanced Materials | May 2, 2025 | DOI: 10.1002/adma.202414617

Contributors: Andrea Darù, John S. Anderson, Davide M. Proserpio, Laura Gagliardi

This paper discusses the crucial role of symmetry in the rational design of reticular frameworks (such as MOFs and COFs), providing computational insights into how symmetry can guide the creation of functional materials with tailored properties. The work aims to accelerate the discovery of novel materials with applications in catalysis and energy storage.

Designing Molecular Qubits: Computational Insights into First-Row and Group 6 Transition Metal Complexes
Preprint | April 8, 2025 | DOI: 10.26434/chemrxiv-2025-3tg1x-v3

Contributors: Arturo Sauza-de la Vega, Andrea Darù, Stephanie Nofz, Laura Gagliardi

This preprint provides valuable computational insights into the design of molecular qubits using first-row and group 6 transition metal complexes. The paper presents potential pathways for advancing quantum computing with molecular systems, offering a deep dive into electronic structure and qubit properties.

Electronically Tunable Low-Valent Uranium Metallacarboranes
Inorganic Chemistry | March 17, 2025 | DOI: 10.1021/acs.inorgchem.4c04431

Contributors: Kent O. Kirlikovali, Alejandra Gómez-Torres, Arturo Sauza-de la Vega, Andrea Darù, Matthew D. Krzyaniak, Palak Garg, Christos D. Malliakas, Michael R. Wasielewski, Laura Gagliardi, Omar K. Farha

This publication delves into uranium metallacarboranes and their potential as electronically tunable materials. The work explores their unique chemical properties and how these can be controlled for use in various applications, including catalysis and energy storage.

Pinpointing the Onset of Water Harvesting in Reticular Frameworks from Structure
ACS Central Science | February 17, 2025 | DOI: 10.1021/acscentsci.4c01878

Contributors: Ha L. Nguyen, Andrea Darù, Saumil Chheda, Ali H. Alawadhi, S. Ephraim Neumann, Lifen Wang, Xuedong Bai, Majed O. Alawad, Christian Borgs, Jennifer T. Chayes, et al.

This paper explores the structural basis for water harvesting in reticular frameworks, aiming to uncover how certain materials can be engineered for effective atmospheric water capture. The research has significant implications for sustainable water production in arid regions.

Designing Molecular Qubits: Computational Insights into First-Row and Group 6 Transition Metal Complexes
Preprint | February 5, 2025 | DOI: 10.26434/chemrxiv-2025-3tg1x-v2

Contributors: Arturo Sauza-de la Vega, Andrea Darù, Stephanie Nofz, Laura Gagliardi

This earlier version of the preprint provides foundational insights into the computational design of molecular qubits, offering a path forward in the development of quantum computing materials that utilize transition metal complexes.

Ronald Ranguin, Environmental Science, Best Researcher Award

Doctorate at  Ronald Ranguin: Project manager at Skillcell, France

Dr. Ronald Ranguin is an accomplished French environmental chemist renowned for his pioneering work in the detection and remediation of hazardous pollutants, particularly the pesticide chlordecone. He earned his PhD in Environmental Chemistry from the Université des Antilles, where he focused on optimizing methods for quantifying chlordecone and developing innovative degradation processes using hybrid materials. With a passion for improving environmental health, Dr. Ranguin’s current role as Project Manager at Skilcell involves advancing research on remediation technologies, where he integrates his academic expertise and hands-on experience to tackle the environmental challenges posed by toxic pollutants.

Online Profiles

ORCID Profile 

Dr. Ranguin maintains an active presence on academic platforms such as ResearchGate and LinkedIn. His profiles serve as a resource for colleagues, collaborators, and students interested in his research on environmental chemistry and remediation techniques. Through these platforms, he shares updates on his projects, publications, and breakthroughs in the field, fostering greater engagement with the global scientific community. His professional online presence also offers opportunities for networking, collaboration, and sharing valuable knowledge with those in related fields.

Education

Dr. Ranguin completed his doctoral studies at Université des Antilles, earning his PhD in Environmental Chemistry from 2011 to 2015. His dissertation focused on the optimization of chlordecone quantification techniques and the development of innovative degradation processes using hybrid materials like activated carbon combined with cobalamine (vitamin B12). This foundational research laid the groundwork for his later studies in environmental pollution and soil remediation, helping him develop specialized expertise in the field of environmental chemistry. His academic journey has been marked by a commitment to creating sustainable solutions to address environmental contamination.

Research Focus

Dr. Ranguin’s research interests lie at the intersection of environmental chemistry, pollution detection, and sustainable remediation technologies. His primary focus is on the environmental impact of chlordecone, a toxic pesticide, and developing methods to reduce its presence in contaminated soils. He investigates the use of novel materials, including activated carbon derived from local biomass, to remove pollutants from the environment. His work aims to create cost-effective and environmentally friendly solutions to mitigate soil and water contamination, particularly in tropical and subtropical regions. Dr. Ranguin’s interdisciplinary approach brings together materials science, environmental chemistry, and biochemistry for the development of advanced remediation technologies.

Experience

Dr. Ranguin has garnered extensive experience working in both academic and industrial settings. As a Project Manager at Skilcell since 2019, he has been at the forefront of developing innovative detection and remediation technologies to address chlordecone contamination in various environmental media. Prior to this, he worked as a Research Engineer at Université des Antilles, where he was involved in optimizing the process of producing activated carbon from local biomass materials for use in pollution control. His doctoral research provided him with the necessary skills to design and implement cutting-edge strategies for environmental remediation, positioning him as a leader in the field of environmental chemistry.

Research Timeline

Dr. Ranguin’s research career has evolved significantly over the past decade. Between 2011 and 2015, he worked intensively on his doctoral thesis at Université des Antilles, which focused on improving the detection and degradation processes for chlordecone. Following the completion of his PhD, he transitioned to a Research Engineer position at Université des Antilles from 2016 to 2019, where he led projects to optimize the production of activated carbon from biomass. In 2019, he moved into the role of Project Manager at Skilcell, where his work continues to advance the field of environmental remediation. His research timeline reflects his ongoing dedication to combating soil contamination and improving environmental health.

Awards & Honors

Dr. Ranguin’s work has garnered significant recognition in the scientific community, with several awards and honors underscoring his contributions to the field of environmental chemistry. His research on the development of hybrid materials for pollutant remediation has been widely published in peer-reviewed journals, earning accolades for its impact on environmental science. His interdisciplinary approach and the practical applications of his work have earned him respect among researchers and industry professionals alike. He has been a driving force in promoting sustainable environmental solutions, particularly in regions heavily affected by toxic pesticide contamination.

Top-Noted Publication

Dr. Ranguin has published several impactful research papers, with one of his most notable works being titled “Development and characterization of a nanostructured hybrid material with vitamin B12 and bagasse-derived activated carbon for anaerobic chlordecone (Kepone) removal”, published in Environmental Science and Pollution Research in 2020. This study represents a major breakthrough in the field of environmental remediation, highlighting the potential of hybrid nanomaterials for effectively removing chlordecone from contaminated environments. The innovative approach detailed in this publication provides a promising pathway for improving environmental health and managing toxic pesticide contamination in soil and water.

  • Adsorption of Vitamin B12 on Sugarcane-Derived Activated Carbon: Fractal Isotherm and Kinetics Modelling, Electrochemistry and Molecular Modelling Studies
    Molecules, 2025-05-08 | DOI: 10.3390/molecules30102096
    Contributors: Ronald Ranguin, Mohamed Chaker Ncibi, Corine Jean-Marius, François Brouers, Gerardo Cebrián-Torrejón, Antonio Doménech-Carbó, Steffen Souila, José-Emilio Sánchez-Aparicio, Daniel Dorce, Iker Zapirain-Gysling et al.
  • Carbon Materials Prepared from Invading Pelagic Sargassum for Supercapacitors’ Electrodes
    Molecules, 2023-08-04 | DOI: 10.3390/molecules28155882
    Contributors: Sandra Roche, Christelle Yacou, Corine Jean Marius, Ronald Ranguin, Marckens Francoeur, Pierre-Louis Taberna, Nady Passe-Coutrin, Sarra Gaspard.
  • In vitro and in vivo assessment of a CLD sequestration strategy in Nitisol using contrasted carbonaceous materials
    Environmental Geochemistry and Health, 2021-10-22 | DOI: 10.1007/s10653-021-01108-5
    Contributors: Ronald Ranguin, et al.
  • Biochar and activated carbons preparation from invasive algae Sargassum spp. for Chlordecone availability reduction in contaminated soils
    Journal of Environmental Chemical Engineering, 2021-08 | DOI: 10.1016/j.jece.2021.105280
    Contributors: Ronald Ranguin, et al.
  • Development and characterisation of a nanostructured hybrid material with vitamin B12 and bagasse-derived activated carbon for anaerobic chlordecone (Kepone) removal
    Environmental Science and Pollution Research, 2020-11 | DOI: 10.1007/s11356-020-08201-9
    Contributors: Ronald Ranguin, et al.