Chandni Bansal | Sustainable Development | Best Researcher Award

Posted on by Civil

Ms . Chandni Bansal | Sustainable Development | Best Researcher Award

Research Scholar at OP Jindal Global University Sonipat Haryana , India

The candidate is a highly dedicated researcher currently pursuing a Ph.D. in Artificial Intelligence at O.P. Jindal Global University, with specialization in AI Bias, Ethical AI, Sustainable AI, and Conversational AI. With a strong academic background and multiple top rankings in B.C.A., M.B.A., and CBSE board exams, they have consistently demonstrated academic excellence. Their professional journey spans over a decade as an IT faculty member and administrative leader, complemented by participation in numerous FDPs and AI workshops organized by premier institutions like IITs, IIMs, and NITs. They possess a strong skill set in data analytics, prompt engineering, and cybersecurity. However, the profile lacks concrete evidence of research publications, funded projects, or international collaborations, which are critical for a comprehensive research impact. Overall, the candidate shows great promise and commitment to ethical and responsible AI research, making them a strong contender for the Best Researcher Award based on potential and dedication.

Professional Profile 

Education🎓

The candidate has a strong academic foundation, currently pursuing a Ph.D. in Artificial Intelligence at O.P. Jindal Global University, Sonipat, with a research focus on AI Bias, Ethical AI, Sustainable AI, and Conversational AI. Their academic journey is marked by consistent excellence, having secured first position in both B.C.A. and M.B.A. at the university level. They were also recognized as the city topper in the CBSE 10th board exams and received a Certificate of Merit for being among the top 0.1% of successful candidates nationwide, with special excellence in Mathematics. In addition to formal education, the candidate has actively pursued professional development through various workshops and faculty development programs (FDPs) in AI, business analytics, and machine learning, offered by premier institutions such as IIM Indore, IIT Delhi, and NIT Hamirpur. This continuous learning approach reflects a strong commitment to academic growth and staying current with evolving technological trends.

Professional Experience📝

The candidate brings over a decade of rich professional experience in academia, specializing in Information Technology. Currently serving as an Assistant Professor at JK Business School, Gurgaon since April 2023, they have previously held key roles such as Controller of Examinations and University Incharge (MDU) at IBMR Business School, Gurgaon from 2019 to 2022. Their earlier experience includes teaching positions at IIeBM (Indus Business School, Pune) and Indira College of Commerce & Science, Pune. Throughout their career, they have demonstrated a strong commitment to both teaching and academic administration. Their roles have involved not only delivering IT and AI-related curricula but also managing academic processes and institutional responsibilities. This combination of teaching expertise and leadership experience highlights their ability to contribute to both academic development and institutional growth. Their professional journey is further strengthened by continuous skill enhancement in areas such as cybersecurity, analytics, ethical AI, and advanced digital tools.

Research Interest🔎

The candidate’s research interests lie at the intersection of technology and ethics, with a strong focus on Artificial Intelligence. Their primary areas of specialization include AI Bias, Ethical AI, Sustainable AI, and Conversational AI—fields that are increasingly critical in ensuring responsible and inclusive technology development. They are particularly interested in exploring how AI systems can be made fair, transparent, and aligned with human values while minimizing negative societal and environmental impacts. Their research aims to address pressing challenges related to algorithmic fairness, data ethics, and the long-term sustainability of AI solutions. By engaging in advanced workshops, FDPs, and academic symposia organized by leading institutions like IITs, IIMs, and IEEE, the candidate has continually expanded their understanding of contemporary AI issues. This commitment reflects a deep drive to contribute meaningfully to the evolution of ethical AI practices, making their research not only academically relevant but also socially impactful and future-ready.

Award and Honor🏆

The candidate has received several prestigious awards and honors that reflect their academic excellence and dedication. They were awarded the “Approved Faculty Certificate” by the University of Pune, recognizing their qualifications and teaching capabilities. Demonstrating consistent academic brilliance, they secured the first position at the university level in both B.C.A. and M.B.A. programs. Their early academic achievements include being recognized as the city topper by CBSE in the 10th board examinations and receiving a special “Certificate of Merit” for ranking among the top 0.1% of successful candidates nationwide, with a particular distinction in Mathematics. These accolades underscore the candidate’s long-standing commitment to academic excellence, discipline, and hard work. Additionally, their continued involvement in nationally recognized faculty development programs and AI workshops at reputed institutions further affirms their proactive approach to learning and professional growth. Collectively, these honors position the candidate as a high-achieving and well-recognized academic professional.

Research Skill🔬

The candidate possesses a diverse set of research skills that are crucial for conducting cutting-edge work in the field of Artificial Intelligence. Their expertise spans several areas, including AI Bias, Ethical AI, Sustainable AI, and Conversational AI. The candidate is proficient in advanced research methodologies, leveraging tools like SQL, Power BI, Tableau, and Advanced Excel for data analysis, visualization, and reporting. They also have a strong background in cybersecurity, networking, and prompt engineering, all of which are vital for addressing complex challenges in AI systems. Their research approach is highly interdisciplinary, integrating AI concepts with ethical considerations and sustainability principles. Furthermore, their participation in various faculty development programs, workshops, and symposia, such as those organized by IITs, NITs, and IEEE, demonstrates a commitment to enhancing their research capabilities and staying updated with the latest advancements in AI. This combination of technical and ethical research skills positions them well to contribute meaningfully to AI development.

Conclusion💡

The candidate demonstrates strong potential and credible eligibility for the Best Researcher Award, especially due to their alignment with pressing ethical issues in AI, consistent academic excellence, and proactive professional development. However, for a well-rounded candidacy, stronger evidence of published research, grant participation, and international collaboration would substantially enhance their profile.

Publications Top Noted✍

Title: Analysis of barriers to AI banking chatbot adoption in India: An ISM and MICMAC approach

Authors: C. Bansal, K.K. Pandey, R. Goel, A. Sharma

Year: 2024

Journal: Issues in Information Systems

Citation: This specific link or full citation appears to be unavailable as the link is disabled. However, if you require, you can search for it directly through the journal’s database or request access through academic resources like ResearchGate, Google Scholar, or the publisher’s site.

 

Moina Ajmeri | Sustainable Development | Best Research Article Award

Posted on by Civil

Dr. Moina Ajmeri | Sustainable Development | Best Research Article Award

Assitant Professor at National Institute of Technology Patna, India

Dr. Moina Ajmeri is a dedicated and accomplished academic serving as an Assistant Professor (Grade-II, Level-11) in the Department of Electrical Engineering at the National Institute of Technology (NIT) Patna. With an impressive h-index of 8 and over 298 citations, Dr. Ajmeri has made significant contributions to the fields of control systems, power electronics, and renewable energy systems. Throughout her career, she has demonstrated a strong commitment to research, teaching, and innovation, underlined by her involvement in several patents and high-impact journal publications. Her multidisciplinary approach and passion for advancing control techniques for complex industrial processes and energy applications have positioned her as an influential voice in her field.

profile

scopus

Education

Dr. Ajmeri holds a Ph.D. in Electrical Engineering from the prestigious Indian Institute of Technology (IIT) Patna, completed in 2016. Her doctoral research focused on the development of new two-degree-of-freedom control schemes tailored for integrating and unstable processes with time delay, and she graduated with a commendable CPI of 8.93/10. She also holds an M.Tech. in Electronics and Communication Engineering from Birla Institute of Technology, Mesra, Ranchi, which she completed in 2010, securing an excellent academic score of 88.50%. Her undergraduate foundation in engineering was established at Magadh University, Bodh Gaya, where she earned a B.Sc. Engineering in Electronics and Communication with distinction, obtaining 82.33% marks.

Experience

Dr. Ajmeri’s professional journey began at NIT Patna, where she joined as an Assistant Professor (On Contract) in the Department of Electronics and Communication Engineering in 2015. Post completion of her Ph.D., she transitioned to a permanent faculty role in the Department of Electrical Engineering in 2018, and since September 2022, she has held her current position as an Assistant Professor (Grade-II, Level-11). During this period, she has combined her academic instruction with active research, mentoring students, and contributing to the academic and administrative growth of the department.

Research Interest

Dr. Ajmeri’s research interests lie in process modeling and system identification, control design for both linear and nonlinear systems, and advanced control applications for power electronic circuits. Her expertise also extends to micro-grids and renewable energy systems, where she seeks to develop robust and efficient control strategies to meet the demands of modern sustainable energy networks. Her research stands at the crossroads of theory and application, striving to solve real-world industrial challenges while pushing the boundaries of control systems engineering.

Award

In recognition of her research excellence and commitment to innovation, Dr. Ajmeri has been an instrumental contributor to two patents related to high-gain DC-DC boost converter technologies, co-filed in 2023 under the aegis of NIT Patna. These patents are designed to address the challenges of high switching frequencies and multi-level energy conversion, which are pivotal in renewable energy and power electronic systems. These innovations showcase her practical problem-solving skills and her vision for transforming power electronics.

Publication

Dr. Ajmeri’s scholarly output features several high-impact journal articles. Selected examples include:

Ajmeri, M. (2024). “Novel twofold control for delayed industrial processes with integrating and inverse response characteristics,” IFAC Journal of Systems and Control (Q3).

Kumar, P., & Ajmeri, M. (2025). “A non-isolated buck-boost converter based on SEPIC topology for renewable energy applications,” Computers and Electrical Engineering, Volume 124, Part A.

Kumar, S., & Ajmeri, M. (2023). “Smith predictor–based sliding mode control with hyperbolic tangent function for unstable processes,” Transactions of the Institute of Measurement and Control (Q2).

Ajmeri, M. (2022). “Analytical design of enhanced PID controller with set-point filter for unstable processes with time delay,” International Journal of Dynamics and Control (Q2).

Ajmeri, M., & Ali, A. (2017). “Analytical design of modified Smith predictor for unstable second-order processes with time delay,” International Journal of Systems Science (Q1).

Ajmeri, M., & Ali, A. (2015). “Two degree of freedom control scheme for unstable processes with small time delay,” ISA Transactions (Q1).

Ajmeri, M., & Ali, A. (2013). “Direct synthesis based tuning of the parallel control structure for integrating processes,” International Journal of Systems Science (Q1).

These publications have not only been cited by numerous international researchers but have also inspired new studies in both academic and industrial circles, attesting to their significant scholarly impact.

Conclusion

Dr. Moina Ajmeri’s research work exemplifies academic excellence, innovation, and societal relevance. Her consistent contributions to the field of advanced control systems and renewable energy technologies have set a high benchmark for scientific research. The nominated article reflects both technical brilliance and real-world applicability, making her an ideal candidate for the Research for Best Research Article Award. Dr. Ajmeri’s dedication to pushing the boundaries of engineering knowledge and her impactful publications make her deserving of this prestigious recognition.

Eleeyah Saniso | Sustainable Development | Innovative Research Award

Posted on by Civil

Assist. Prof. Dr. Eleeyah Saniso | Sustainable Development | Innovative Research Award

Lecturer/Researcher at Yala Rajabhat University, Thailand

Assistant Professor Dr. Eleeyah Saniso is a dedicated academic and researcher specializing in renewable energy and drying technology at Yala Rajabhat University, Thailand. With an academic foundation rooted in physics and energy technology, Dr. Saniso has steadily established himself as an authority in agricultural product drying systems, renewable energy solutions for rural applications, and sustainable engineering design. His commitment to advancing local energy autonomy and community-based technological development reflects both scientific expertise and deep-rooted social responsibility. Through his career, Dr. Saniso has bridged theoretical research with hands-on applications, especially in renewable energy projects that serve underprivileged communities, showcasing an exceptional blend of innovation and empathy in his professional contributions.

profile

scopus

Education

Dr. Eleeyah Saniso embarked on his academic journey by earning a Bachelor of Education in Science, majoring in Physics, from Thaksin University in 2004. His growing interest in experimental and applied physics led him to complete a Master of Science in Physics from Prince of Songkla University in 2006. He further advanced his research skills and specialized knowledge by pursuing a doctoral degree at King Mongkut’s University of Technology Thonburi (KMUTT), where he was awarded a Ph.D. in Energy Technology in 2019. This strong academic pathway has equipped Dr. Saniso with a broad yet deep understanding of both the theoretical and practical aspects of energy science, especially in the context of renewable energy and agricultural innovations.

Experience

Dr. Saniso began his professional career as a scientist in physics at the Faculty of Science Technology and Agriculture, Yala Rajabhat University in 2007. A year later, he transitioned into an academic role as a lecturer in the Physics Program, a position he has held since 2008. His commitment to renewable energy solutions prompted his appointment as a lecturer in the Renewable Energy Technology Program in 2018, a role that aligns perfectly with his research endeavors. Throughout his career, Dr. Saniso has played an essential role in curriculum development, research mentorship, and the implementation of community-focused renewable energy projects, all while fostering practical collaboration between students and real-world industry challenges.

Research Interests

Dr. Saniso’s research is highly interdisciplinary, with strong roots in engineering and applied science. His primary focus lies in drying technology and the study of physical properties of agricultural products to optimize drying processes. His interests extend into the exploration of pico-hydropower and pico-wind energy systems, especially for rural and off-grid communities. Moreover, Dr. Saniso is devoted to developing sustainable energy solutions using biomass, agricultural residues, and municipal solid waste, aligning his work with the global call for renewable and circular economy practices.

Awards

Dr. Saniso’s commitment and ingenuity have earned him various research grants from institutions like the Thailand Science Research and Innovation (TSRI) and Yala Rajabhat University. Notably, his project on the development of efficient drying systems for local farmers and renewable energy solutions for rural communities has been recognized as model work for local technology transfer. His nomination for this award underscores not only his academic contributions but also his impactful community engagement, demonstrating how scientific research can directly benefit society.

Selected Publications

Dr. Saniso’s work has appeared in reputable international journals and conference proceedings. His research has been well-cited by peers in both the renewable energy and agricultural engineering communities. Some of his selected publications include:

Saniso, E., et al. (2025). “Enhancement of Dried Salted Four-Finger Threadfin Using Indirect Solar Dryer.” Results in Engineering. (In press).

Saniso, E., et al. (2025). “Garcinia Drying Using Mixed-Mode Solar Dryer Technique.” Case Studies in Thermal Engineering, 66, 105711.

Saniso, E., Seni, L., Handayanto, S.K. (2024). “Experimental Investigation of Paddy Drying by Combined Infrared-Hot Air Fluidised Bed.” American Journal of Engineering Research, 13(9), 17-23.

Suwasono, P., Munthe, H., Saniso, E. (2024). “Minimize Student Misconceptions About Newton’s Third Law.” AIP Conf. Proc., 3106, 060006.

Techo, J., et al., Saniso, E. (2024). “Enhanced Solar Photovoltaic Power Production for EV Charging.” Nature Environment and Pollution Technology, 23(1), 215-223.

Saniso, E., Hayibaka, M. (2022). “Computational Fluid Dynamics Simulation of a Solar Agricultural Dryer.” International Journal of Mechanical Engineering, 7(2): 1230-1237.

Saniso, E., et al. (2019). “Parboiled Rice Production Without Steaming Using Microwave-assisted Hot Air Fluidized Bed.” Food and Bioproducts Processing, 120: 8-20.

Each publication has contributed to the growing body of knowledge on sustainable drying techniques and energy-efficient processing, with multiple works cited in global journals and conferences, attesting to the relevance and impact of his studies.

Conclusion

Assistant Professor Dr. Eleeyah Saniso exemplifies the qualities that the Research for Innovative Research Award seeks to honor. His remarkable track record of pioneering research, commitment to real-world applications, and dedication to the academic and local communities reflect his profound impact on the field of renewable energy and sustainable development. Dr. Saniso’s innovative mindset and enduring scientific contributions make him a truly deserving candidate for this prestigious recognition.

Gaurav Priyadarshi | Environmental Engineering | Best Researcher Award

Posted on by Civil

Mr Gaurav Priyadarshi | Environmental Engineering | Best Researcher Award

Research Scholar, NIT ROURKELA, India

Gaurav Priyadarshi is a dedicated researcher and Ph.D. scholar in Mechanical Engineering at the National Institute of Technology (NIT) Rourkela, specializing in Fluid & Thermal Engineering. With a strong academic foundation, including an M.E. from BIT Mesra and a B.E. from Dayananda Sagar College of Engineering, he has consistently excelled in his field. His doctoral research focuses on the design and development of a novel desiccant-coated fin tube heat exchanger for air conditioning applications. Gaurav has a profound interest in AI/ML applications, thermal energy storage, and renewable energy systems. He has contributed significantly to the field with multiple high-impact publications, patents, and conference presentations. Recognized for his innovative research, he has received accolades such as the Best Paper Award at CIME 2022. Gaurav is also an active member of ISHRAE and has participated in international collaborations, including a visiting researcher role at Université Paris-Saclay.

Professional Profile

Google Scholar

Orcid

Scopus

Education 🎓

  • Ph.D. in Mechanical Engineering (2024, NIT Rourkela): Specialization in Fluid & Thermal Engineering, focusing on desiccant-coated heat exchangers for air conditioning. CGPA: 9.17.
  • M.E. in Mechanical Engineering (2018, BIT Mesra): Specialization in Fluid & Thermal Engineering. Percentage: 81.9%.
  • B.E. in Mechanical Engineering (2015, Dayananda Sagar College of Engineering): Percentage: 66.2%.
  • XII (HSC) (2011, Surendranath Centenary School): Subjects: Physics, Chemistry, Mathematics. Percentage: 71.2%.
  • X (SSC) (2009, DAV Public School): Major Subjects: Mathematics, Science, Social Studies. Percentage: 84.6%.
    Gaurav’s academic journey reflects a strong foundation in engineering, with a focus on thermal systems, AI/ML, and renewable energy technologies.

Experience 💼

  • R&D Engineer and Project In-charge (Oct 2024 – Present): New Leaf Dynamic Technologies, Greater Noida, India. Leading innovative projects in thermal energy systems.
  • Visiting Doctoral Researcher (Jan-Feb 2024): Université Paris-Saclay, France. Worked on AI/ML models for refrigeration systems.
  • Teaching Assistant (2016-2018): Conducted labs for I.C. Engines, Strength of Materials, Heat Transfer, and Fluid Mechanics during M.E. and Ph.D.
  • Research Assistant (2019-2024): MHRD-funded research at NIT Rourkela, focusing on desiccant-coated heat exchangers and AI/ML applications.
    Gaurav’s professional experience spans research, teaching, and industry, with a strong emphasis on thermal systems, AI/ML, and sustainable energy solutions.

Awards and Honors 🏆

  • Best Paper Award at CIME 2022 for research on desiccant-coated heat exchangers.
  • Visiting Researcher at Université Paris-Saclay, France (2024).
  • GATE Qualified (2016): 94.51 percentile with a score of 513.
  • Research Assistantship from MHRD, Govt. of India (2019-2024).
  • Teaching Assistantship from MHRD, Govt. of India (2016-2018).
  • K-12 Student Activity Chair at ISHRAE Bhubaneswar (2022-2023).
    Gaurav’s achievements highlight his excellence in research, innovation, and leadership in the field of thermal engineering and AI/ML applications.

Research Focus 🔍

Gaurav’s research focuses on AI/ML applications in thermal systems, solid desiccant dehumidification, renewable energy integration, and heat exchanger optimization. His work includes:

  • Designing novel desiccant-coated fin tube heat exchangers for air conditioning.
  • Thermal energy storage using phase change materials (PCMs).
  • AI/ML-driven performance prediction and optimization of thermal systems.
  • Solar-driven thermal systems and indoor air quality enhancement.
  • Carbon capture and heat pump technologies.
    His interdisciplinary approach combines experimental, numerical, and AI/ML techniques to advance sustainable energy solutions.

Publication Top Notes 📚

  1. Experimental Study of Novel Desiccant Coated Energy Exchanger Employing PCM – Silica Gel Working Pair for Air Conditioning and Thermal Energy Storage Application.
  2. Experimental and Numerical Studies on Moisture Adsorption/Desorption Characteristics Across the Circular Fin Tube Desiccant Coated Heat Exchanger.
  3. Parametric Investigation and Optimization of Phase Change Material-Based Thermal Energy Storage Integrated Desiccant Coated Energy Exchanger Through Physics Informed Neural Networks.
  4. Desiccant Coated Fin Tube Energy Exchanger Design Optimization Implementing KNN-ML Tool and Adsorption/Desorption Kinetics Analysis Using Finite Difference Based Transient Model.
  5. Performance Potentiality Analysis of Desiccant Coated Energy Exchanger for M− Cooler Based Air Conditioning and Solar Driven Drying Systems.
  6. Design and Performance Prediction of Desiccant Coated Heat Exchanger Using ANFIS–AI Tool and Dynamic Model.
  7. Implementation of Adaptive Neuro-Fuzzy Inference System in Design and Process Optimization of Latent Heat Storage System.
  8. Performance Characteristics Assessment of Hollow Fiber Membrane-Based Liquid Desiccant Dehumidifier for Drying Application.
  9. A Novel Similarity Solution Approach Based Thermal Performance Prediction and Environmental Analysis of Evacuated U-Tube Solar Collector Employing Different Mono/Hybrid Nanofluids.
  10. Evaluation of Thermal Kinetics of Microencapsulated PCM for Low-Temperature Thermal Energy Storage Application.
  11. Application of Artificial Intelligence Models for Assessing the Performance of Closed Vertical Refrigerated Display Cabinet.
  12. Heat Exchanger Design (Indian Patent).

Conclusion 🌟

Gaurav Priyadarshi is a highly accomplished researcher with expertise in thermal systems, AI/ML, and renewable energy. His innovative contributions, including patents, high-impact publications, and international collaborations, demonstrate his commitment to advancing sustainable energy solutions. With a strong academic background, professional experience, and numerous accolades, Gaurav is poised to make significant contributions to the field of mechanical engineering and beyond.

Rafael Natalio Fontana Crespo – Sustainable Development – Young Scientist Award

Posted on by Civil

Rafael Natalio Fontana Crespo - Sustainable Development - Young Scientist Award

Young Scientist Award - Italy

AUTHOR PROFILE

ORCID

RAFAEL NATALIO FONTANA CRESPO 🌊

Rafael Natalio Fontana Crespo is a distinguished researcher in the field of power systems and renewable energy forecasting. His expertise lies in applying machine learning techniques to optimize grid power forecasting and improve the reliability of renewable energy systems. He is particularly known for his innovative work in wave energy converters, making him a leader in the intersection of artificial intelligence and sustainable energy technologies.

RESEARCH IN WAVE ENERGY 🔋

Rafael's research primarily focuses on short-term grid power forecasting, where he leverages machine learning techniques to enhance the prediction accuracy of wave energy converters. His recent comparative analysis of these techniques has highlighted new methods for improving uncertainty analysis in energy forecasting, which is crucial for integrating renewable sources into the grid.

EXPERT IN ARTIFICIAL INTELLIGENCE 🤖

With a strong foundation in engineering applications of artificial intelligence, Rafael has made significant contributions to the field. His work on LSTM (Long Short-Term Memory) models for grid power forecasting provides novel insights into how AI can be applied to improve the stability and efficiency of energy systems. His research paves the way for smarter, AI-driven energy management solutions.

INNOVATIONS IN ADDITIVE MANUFACTURING 🛠️

Rafael's contributions extend beyond energy systems to manufacturing technologies. He played a key role in developing a distributed software platform for additive manufacturing, showcased at the IEEE International Conference on Emerging Technologies and Factory Automation. This platform aims to streamline the manufacturing process, pushing forward the boundaries of Industry 4.0.

PUBLICATIONS AND IMPACT 📚

Rafael has authored several influential papers in prestigious journals and conferences. His work on machine learning and energy systems has been widely cited, including his 2024 paper on grid power forecasting published in the Engineering Applications of Artificial Intelligence journal. He continues to influence the scientific community with his cutting-edge research in AI applications.

CONFERENCE CONTRIBUTIONS 🌍

Rafael regularly presents his research at international conferences, such as the IEEE Annual Computers, Software, and Applications Conference (COMPSAC). His presentations on wave energy forecasting and AI-based solutions for energy grid management have garnered attention, solidifying his reputation as a forward-thinking engineer and researcher in global platforms.

FUTURE-ORIENTED RESEARCH 🧠

With a clear vision for the future, Rafael aims to continue advancing AI-driven solutions for renewable energy systems. His ongoing work explores the integration of artificial intelligence in real-time energy management, making energy grids more adaptive, resilient, and capable of supporting large-scale renewable energy adoption.

NOTABLE PUBLICATION

Title: A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters
Authors: Rafael Natalio Fontana Crespo, Alessandro Aliberti, Lorenzo Bottaccioli, Edoardo Pasta, Sergej Antonello Sirigu, Enrico Macii, Giuliana Mattiazzo, Edoardo Patti
Year: 2024
Journal: Engineering Applications of Artificial Intelligence

Title: A Distributed Software Platform for Additive Manufacturing
Authors: Rafael Natalio Fontana Crespo, Davide Cannizzaro, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Santa Di Cataldo
Year: 2023
Conference: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)

Title: LSTM for Grid Power Forecasting in Short-Term from Wave Energy Converters
Authors: Rafael Natalio Fontana Crespo, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Giorgio Fighera, Edoardo Patti
Year: 2023
Conference: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)

Ahmad Shaabani – Sustainable Development – Best Researcher Award

Posted on by Civil

Ahmad Shaabani - Sustainable Development - Best Researcher Award

Shahid Beheshti University - Iran

AUTHOR PROFILE

SCOPUS

ACADEMIC CAREER

Ahmad Shaabani is a renowned Professor of Organic Chemistry at Shahid Beheshti University in Tehran, Iran. He began his academic journey as an Assistant Professor from 1994 to 1998, progressed to an Associate Professor from 1998 to 2002, and has been a full Professor since 2003. His academic career is marked by his dedication to teaching and research in organic chemistry.

RESEARCH INTERESTS

Ahmad's research focuses on the discovery and design of novel isocyanide-based multi-component reactions (I-MCRs) for synthesizing biologically important heterocyclic compounds. He also works on creating neoteric functional materials with functionalized/modified nanomaterials and natural polymers via I-MCRs, which are applied in drug delivery and biomedical platforms. His interests extend to the synthesis of methalophtalocyanines and developing new synthetic methods through heterogeneous catalysts in chemical transformations.

HONORS AND AWARDS

Ahmad has received numerous accolades throughout his career, including being named Distinguished Professor of Shahid Beheshti University multiple times (2002, 2006, 2007) and being selected as the Distinguished Professor of Iranian Universities by the Ministry of Science, Research, and Technology of Iran in 2003. He was awarded the prestigious prize of the International Kharazmi Festival in Basic Science in 2009 and was recognized as the Iranian Chemical Society’s Distinguished Chemist in 2010.

SABBATICAL LEAVES

Ahmad has taken sabbatical leaves to advance his research at prominent institutions, including the University of Regina in Canada (2000-2001) under the mentorship of Prof. Donald G. Lee, and the University of California, USA, in 2018, working with Prof. Shaowei Chen. These experiences have significantly contributed to his professional development and research output.

TRAINING PROGRAMS

Ahmad has participated in various training programs to enhance his expertise, including the UNIDO Group Training Program on the Utilization of Medicinal and Aromatic Plants in Pharmaceutical and Related Industries in 1996 in Eskisehir, Turkey, and the HIJ-COMSATS Workshop on the Use of Spectroscopic Techniques in Structural Organic Chemistry in 2000 in Karachi, Pakistan.

MEMBERSHIPS

Ahmad is a fellow of The World Academy of Sciences (TWAS) for the advancement of science in developing countries, and a member of the Academy of Sciences in Iran. He is also an active member of the Iranian Chemical Society and the Scientific Committee of the Chemistry Olympiad. Furthermore, he serves on the editorial advisory board of ACS Combinatorial Science and the editorial boards of the Journal of the Iranian Chemical Society and the Journal of Current Green Chemistry.

EDITORIAL CONTRIBUTIONS

Ahmad contributes his expertise to the scientific community through his editorial roles. He is on the editorial advisory board of ACS Combinatorial Science (ACS) and serves on the editorial boards of the Journal of the Iranian Chemical Society (Springer) and the Journal of Current Green Chemistry (Bentham Science), where he helps guide the direction of research in these fields.

NOTABLE PUBLICATION