Shekhar Suman | Engineering | Young Scientist Award

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Dr. Shekhar Suman | Engineering | Young Scientist Award

Research Scientist at Borah University of Texas at Tyler, United States

Dr. Shekhar Suman Borah is a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. He holds a Ph.D. in Electronics & Communication Engineering from IIIT Guwahati, with a strong academic foundation in Analog VLSI Design, Memristors, and Signal Processing. His prolific research output includes over 25 publications in reputed journals and conferences, four book chapters, and editorial and peer-review contributions to leading journals. Dr. Borah has also secured research funding for AI-based hardware-software systems and contributed to projects at Bhabha Atomic Research Centre. His work spans advanced circuit design, environmental sensing, and precision agriculture using UAVs. He has delivered invited talks and participated in international conferences across India, the USA, and Japan. A committed IEEE member, Dr. Borah combines technical excellence with interdisciplinary collaboration, positioning him as a promising candidate for awards recognizing young scientific talent.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Shekhar Suman Borah has a strong academic foundation in electronics and communication engineering. He earned his Ph.D. from the Indian Institute of Information Technology (IIIT) Guwahati in 2022, where he specialized in analog signal processing and current-mode circuit design. Prior to this, he completed his M.Tech with First Class from KIIT University, Bhubaneswar, and his B.E. from Visvesvaraya Technological University, Karnataka, also with First Class honors. His academic journey reflects a consistent focus on electronics, signal processing, and circuit design, particularly in analog VLSI systems. During his doctoral studies, he developed expertise in the use of memristors, current-mode building blocks, and oscillator/filter design, forming the basis for much of his later research. His educational trajectory demonstrates both depth and specialization, equipping him with the technical proficiency and theoretical grounding necessary for advanced research and innovation in modern electronics and intelligent systems.

Professional Experience

Dr. Borah currently serves as a Post-Doctoral Research Associate at the Centre of Robotics & Intelligent Systems, University of Texas at Tyler, USA. Previously, he was a Research Associate at the Bhabha Atomic Research Centre (BARC), Mumbai, contributing to projects in the Radiation Safety Systems Division. He has over five years of academic teaching assistance experience in labs related to analog VLSI, communication systems, and integrated circuits. His role in grant-funded projects—particularly an AI-based tutoring tool for hardware-software co-design—underscores his engagement in interdisciplinary research. He has collaborated with several international researchers and contributed to publications across areas such as memristive circuits, environmental sensing, UAV applications, and edge computing. His growing leadership in research, combined with a solid background in academic and national research institutions, marks him as a well-rounded scientist with both applied and theoretical expertise across diverse sectors in electronics and intelligent system design.

Research Interest

Dr. Borah’s research interests lie at the intersection of analog VLSI design, current-mode circuits, memristors, signal processing, and computer vision. He is particularly focused on designing energy-efficient, electronically tunable circuits using novel components like current differencing buffered amplifiers (CDBAs) and memristors. His recent work explores the integration of these devices into edge-computing architectures, environmental sensing systems, and wearable electronics. He is also involved in precision agriculture using AI and UAVs for tasks like weed detection and disease assessment, showcasing his multidisciplinary reach. Dr. Borah has a strong inclination toward practical applications of circuit theory, demonstrated by his contributions to automation, energy-efficient design, and AI-driven solutions. His ability to translate theoretical models into real-world engineering solutions makes his work impactful, especially in the context of smart devices and intelligent sensing systems. This diverse and innovative portfolio reflects both his technical depth and adaptability to emerging technological trends.

Award and Honor

Dr. Shekhar Suman Borah has received several awards that highlight his academic excellence and research impact. In 2020, he won the Best Paper Award at the Springer International Conference on Communication, Circuits, and Systems (iC3S) for his innovative work on grounded negative inductance simulation. Earlier in his academic career, he was awarded the SDR Scholarship in 2010 for academic excellence and the prestigious Anandoram Barooah Award by the Government of Assam in 2009 for securing First Class with Distinction in his 10th grade. These accolades reflect both early promise and sustained contributions to his field. His participation as a peer reviewer for reputed journals and conferences like IEEE and MDPI further underscores his professional standing. Additionally, his invited talks at prominent institutions and media appearances demonstrate recognition beyond academia. Collectively, these honors validate Dr. Borah’s trajectory as a high-performing researcher with significant potential for further contributions.

Conclusion

Dr. Shekhar Suman Borah stands out as a highly qualified young researcher with a well-rounded portfolio in education, research, and professional engagement. His academic background is strong and focused, his research contributions are diverse and impactful, and his professional roles demonstrate both leadership and collaboration. He has made meaningful strides in analog circuit design, memristive technologies, and intelligent sensing systems, with applications in agriculture, environmental monitoring, and wearable technology. His ability to secure research funding, contribute to peer-reviewed literature, and deliver invited talks reflects his growing recognition in the field. Dr. Borah’s consistent track record of innovation, coupled with his dedication to both academic excellence and real-world problem-solving, makes him a strong contender for recognition such as the Young Scientist Award. His work promises continued contributions to cutting-edge technologies in electronics and intelligent systems, positioning him as a rising figure in the global scientific community.

Publications Top Notes

  • Title: MOSFET-Based Memristor for High-Frequency Signal Processing
    Authors: M. Ghosh, A. Singh, S.S. Borah, J. Vista, A. Ranjan, S. Kumar
    Year: 2022
    Citations: 46

  • Title: Electronically tunable higher-order quadrature oscillator employing CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh, A. Ranjan
    Year: 2021
    Citations: 23

  • Title: Resistorless memristor emulators: Floating and grounded using OTA and VDBA for high-frequency applications
    Authors: M. Ghosh, P. Mondal, S.S. Borah, S. Kumar
    Year: 2022
    Citations: 20

  • Title: Third order quadrature oscillator and its application using CDBA
    Authors: M. Ghosh, S.S. Borah, A. Singh, A. Ranjan
    Year: 2021
    Citations: 17

  • Title: Simple Grounded Meminductor Emulator Using Transconductance Amplifier
    Authors: A. Singh, B. S, S., G. M.
    Year: 2021
    Citations: 12

  • Title: A novel memristive neural network circuit and its application in character recognition
    Authors: X. Zhang, X. Wang, Z. Ge, Z. Li, M. Wu, S.S. Borah
    Year: 2022
    Citations: 11

  • Title: CMOS CDBA Based 6th Order Inverse Filter Realization for Low-Power Applications
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2020
    Citations: 9

  • Title: Three Novel Configurations of Second Order Inverse Band Reject Filter Using a Single Operational Transresistance Amplifier
    Authors: S. Banerjee, S.S. Borah, M. Ghosh, P. Mondal
    Year: 2019
    Citations: 8

  • Title: Emerging Technologies for Automation in Environmental Sensing
    Authors: S.S. Borah, A. Khanal, P. Sundaravadivel
    Year: 2024
    Citations: 5

  • Title: Single VDTA Based Grounded Memristor Model and Its Applications
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 5

  • Title: Current Differencing Buffered Amplifier Based Memristive Quadrature Oscillator
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2021
    Citations: 4

  • Title: Higher order multifunction filter using current differencing buffered amplifier (CDBA)
    Authors: S.S. Borah, M. Ghosh, A. Ranjan
    Year: 2022
    Citations: 3

  • Title: A Novel Low-Power Electronically Tunable Higher-Order Quadrature Oscillator using CDBA
    Authors: S.S. Borah, A. Singh, M. Ghosh
    Year: 2021
    Citations: 3

  • Title: CDBA Based Quadrature Sinusoidal Oscillator with Non-interactive Control
    Authors: A. Singh, S.S. Borah, M. Ghosh
    Year: 2020
    Citations: 3

  • Title: Design of Thinned Linear Antenna Array using Particle Swarm Optimization (PSO) Algorithm
    Authors: S.S. Borah, A. Deb, J.S. Roy
    Year: 2019
    Citations: 3

Štefan Ondočko | Engineering | Best Researcher Award

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Assist. Prof. Dr. Štefan Ondočko | Engineering | Best Researcher Award

Assistant professors, Technical University of Košice, Slovakia

Profile

Scopus

Ing. Štefan Ondočko, PhD, is an Assistant Professor at the Technical University of Košice, specializing in mechanical engineering with a focus on production systems and robotics. His extensive experience spans both academia and industry, contributing to the advancement of robotic technologies.

Education 🎓

Štefan earned his degree in Mechanical Engineering from the Technical University of Košice (1996–2004), specializing in Instrumentation, Control, and Automation Technology. He later completed his PhD in Mechanical Engineering, focusing on Production Technology, in 2023.

Experience 💼

His professional journey includes roles as an Electrical Designer and I&C Engineer at EnergoControl s.r.o and SMZ Jelšava a.s., along with significant teaching responsibilities at the Technical University of Košice since 2019. Štefan currently focuses on applied research and development in robotic and production technologies.

Research Interests 🔬

Štefan’s research interests lie in the integration of robotics in production systems, particularly in modular robotics and automation technology. He actively engages in grant projects that advance educational tools and methodologies in these fields.

Awards 🏆

In 2023, Štefan received a diploma for the Best Contribution at the 20th International Scientific Conference of Engineering Doctorates of Technical Universities, highlighting his impactful work in mechanical engineering.

Publications Top Notes 📚

  1. Measurement of Maximum Deviation from Roundness Based on the Inverse Kinematics Principle
    Link – 2019, Measurement Science Review, Year 19, Nr. 6.
  2. Inverse Kinematics Data Adaptation to Non-Standard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, Applied Sciences, Year 11, Nr. 3.
  3. Comparison of Selected Numerical Methods for the Calculation of Inverse Kinematics of Nonstandard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, MM Science Journal, June.
  4. Mapping Robot Singularities Through the Monte Carlo Method
    Link – 2022, Applied Sciences, Year 12, Nr. 16.
  5. Analysis of the Methodology for Experimental Measuring of the Performance Criteria of the Laser-Using Collaborative Robot’s Path Accuracy
    Link – 2024, Applied Sciences, Year 14, Nr. 4.

Fernando Mucomole | Engineer and Physist | Best Researcher Award

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Assist Prof Dr. Fernando Mucomole | Engineer and Physist | Best Researcher Award

University Professor/ PhD Student, Eduardo Mondlane University, Mozambique

Fernando Venâncio Mucomole, a Mozambican researcher born on October 25, 1990, in Maputo, is an expert in solar energy variability. He is currently pursuing a PhD in Energy Science and Technology at Eduardo Mondlane University (UEM) and also works as a University Assistant at the same institution. His contributions to renewable energy, particularly solar energy variability in Mozambique, are well-recognized. His journey reflects a deep commitment to advancing renewable energy solutions, addressing global sustainability, and fostering academic excellence. 🌍🔋

Profile

Orcid

Strengths for the Award:

Fernando Venâncio Mucomole presents a robust academic and research background, making him a strong candidate for the “Best Researcher Award.” His research, particularly in renewable energy with a focus on solar energy variability, demonstrates significant contributions to the global discourse on sustainable energy solutions. With a Master’s in Physics specializing in renewable energies, Fernando has authored several papers, including a notable one on “Temporal Variability of Solar Energy Availability in Mozambique.” His engagement in multiple international conferences and collaborations, such as with SANORD and UEM, also highlights his recognition in the field. Furthermore, his active role in mentoring students and leading solar energy projects such as the Solar Incubator shows his dedication to both research and its practical applications, which directly address sustainable development goals. His linguistic proficiency in multiple languages further strengthens his capacity to collaborate globally and disseminate his findings.

Areas for Improvement:

While Fernando’s academic and research portfolio is highly commendable, expanding the breadth of his research beyond solar energy variability would strengthen his profile for this prestigious award. Exploring interdisciplinary collaborations that involve broader renewable energy systems or combining solar energy with other clean technologies could enhance the impact of his work. Another area of improvement could be an increased focus on publishing in more high-impact international journals, which would help solidify his reputation on a global scale. Additionally, improving his proficiency in writing and communication skills, particularly in languages like Chinese and French, could open doors for more international partnerships and a broader dissemination of his research findings.

Education

Fernando Mucomole’s academic path started with a Degree in Applied Physics from Eduardo Mondlane University (2009–2012), where he focused on solar incubator energy systems. He then pursued a Master’s Degree in Physics with a specialization in Renewable Energies (2014–2021), completing a thesis on the “Temporal Variability of Solar Energy Availability in Maputo City.” Currently, he is enrolled in a PhD program in Energy Science and Technology at UEM, furthering his expertise in solar energy. 🎓☀️

Professional Experience

Fernando has extensive teaching and research experience, working as a University Assistant since 2014. He has taught various physics courses at the Faculty of Sciences, Eduardo Mondlane University. He also participated in renewable energy consulting, monitoring renewable energy systems, and designing solar energy projects for companies such as DEMO – Tecnologia e Serviços and Chalk – German Cooperation. His hands-on involvement in projects addressing solar energy variability in Mozambique demonstrates his dedication to practical and impactful energy solutions. 📚🛠️

Research Interests

Fernando Mucomole is passionate about solar energy research, with a specific focus on the spatiotemporal variability of solar energy in Mozambique. His work also encompasses renewable energy systems, photovoltaic technologies, and their applications in sustainable development. He actively contributes to international conferences and research collaborations, particularly with SANORD and the African Physical Society. His vision aligns with global efforts to enhance energy accessibility and reduce environmental impacts. 🔬🌞🌐

Publications

Fernando Venâncio Mucomole has authored significant research articles, including his 2023 publication titled “Temporal Variability of Solar Energy Availability in the Conditions of the Southern Region of Mozambique” in the African Journal of Energy and Natural Resources. This paper has been indexed with a DOI link: https://doi.org/10.54536/ajenr.v2i1.1311

Conclusion:

Fernando Venâncio Mucomole’s research and practical experience in renewable energy, particularly his work on solar energy variability, make him a competitive candidate for the “Best Researcher Award.” His academic achievements, international engagement, and leadership in sustainable energy projects align well with the award’s goals of recognizing researchers who contribute to solving global challenges. With some diversification of his research topics and further international recognition, Fernando has the potential to make even greater strides in his field.

Avishek Choudhury | Engineering | Best Researcher Award

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Assist Prof Dr. Avishek Choudhury | Engineering | Best Researcher Award 

Assistant Professor at West Virginia University, United States

Dr. Avishek Choudhury is a tenure-track Assistant Professor in the Department of Industrial and Management Systems Engineering at West Virginia University, where he focuses on human factors, human-systems interaction, occupational safety, and medical informatics. He earned his Ph.D. from Stevens Institute of Technology, with a dissertation on an AI-based blood utilization calculator. His research aims to improve healthcare outcomes through innovative technology, notably in maternal health and mental health interventions. Dr. Choudhury has received numerous awards, including the Human Factors and Ergonomics Society’s Best Article Award for his work on AI in healthcare. With an impressive publication record, including over 40 peer-reviewed articles and several active research grants, he also contributes to the academic community as an editorial board member and reviewer for various journals.

Publication Profile

Strengths for the Award:

  1. Diverse Research Areas: Avishek Choudhury’s research spans crucial domains such as human factors, occupational safety, medical informatics, and healthcare AI applications. His ability to integrate these areas, particularly focusing on AI’s role in healthcare decision-making, human-system interaction, and mental health, demonstrates a high level of expertise.
  2. Innovative Projects: His involvement in impactful projects like Mobile for Mothers, which aims to reduce maternal mortality in underprivileged societies using AI, highlights his commitment to solving global healthcare challenges. Additionally, his work on mobile health interventions for mental health issues among students showcases his alignment with contemporary healthcare needs.
  3. Strong Publication Record: With 49 peer-reviewed journal articles and a high h-index of 20, Dr. Choudhury demonstrates a robust academic presence. His work is frequently published in leading journals, such as JMIR, PLOS One, and Scientific Reports. Several of his papers focus on cutting-edge issues, including the integration of AI into clinical settings and the mental health impact of cancer care, solidifying his reputation in research communities.
  4. Recognition and Awards: His numerous awards, including the Human Factors and Ergonomics Society Best Article Award and the Paul Kaplan Award for excellence in research, underscore the quality and impact of his work. These accolades highlight his ability to generate meaningful research with real-world applications.
  5. Leadership in Editorial Roles: His involvement as an editorial board member and associate editor for prominent journals, such as JMIR Human Factors and Frontiers in Digital Health, reflects his standing as a thought leader. These positions indicate his influence on the future direction of research in his field.
  6. Grants and Funding: Choudhury has successfully secured significant funding from prestigious organizations, including the EPA and internal grants from WVU. His ability to lead projects that attract funding suggests strong leadership skills and the potential for further groundbreaking research.

Areas for Improvement:

  1. Expanded International Collaborations: Although Dr. Choudhury’s research focuses on global health challenges, particularly in LMICs, more international collaborations with institutions beyond the U.S. could further enhance his research’s global impact. Partnering with diverse academic and healthcare organizations in these regions could bolster the implementation of his findings.
  2. Public Engagement and Outreach: While he has presented at prestigious conferences and workshops, increasing his public-facing engagement (e.g., outreach through public lectures, media appearances, or policy advising) could extend the societal impact of his research, particularly in policy formulation for AI in healthcare.
  3. Interdisciplinary Integration: Although his research is interdisciplinary, expanding collaboration with professionals in fields such as behavioral science or sociology might enhance the human-centered focus of his work, especially in areas like mental health interventions and AI ethics.

Education: 

Dr. Avishek Choudhury’s educational background is impressive and diverse. He obtained his Ph.D. in Systems Engineering with a focus on Human Factors from Stevens Institute of Technology in May 2022, where his dissertation explored the development of an Artificial Intelligence-Based Blood Utilization Calculator through a mixed-method approach. Prior to that, he earned an M.Sc. in Industrial Engineering from Texas Tech University in 2017, building a solid foundation in engineering principles. His academic journey began with a B.Tech. in Automobile Engineering from West Bengal State University, where he graduated in 2014. This educational trajectory demonstrates his commitment to advancing knowledge in industrial and management systems engineering, particularly in the areas of human factors and healthcare.

Experience:

Dr. Avishek Choudhury is a Tenure Track Assistant Professor in Industrial and Management Systems Engineering at West Virginia University, specializing in Human Factors, Human-Systems Interaction, Occupational Safety, and Medical Informatics. With a Ph.D. from Stevens Institute of Technology, he has a strong research background as a former Research Assistant and Teaching Assistant. His diverse experiences include a Process Improvement Internship at UnityPoint Health and significant research contributions through multiple active grants and projects, particularly focusing on maternal healthcare and the application of AI in healthcare settings. Dr. Choudhury’s commitment to advancing healthcare technology is evidenced by his numerous peer-reviewed publications, editorial roles, and academic awards, which reflect his dedication to addressing critical issues in healthcare through innovative research and interdisciplinary collaboration.

Research Focus:

Dr. Avishek Choudhury’s research focuses on the intersection of human factors, human-systems interaction, and occupational safety within the healthcare sector. His work emphasizes improving the usability and efficacy of healthcare technologies, particularly through the integration of artificial intelligence (AI). He has led innovative projects, including the development of intelligent maternal healthcare systems aimed at reducing preventable maternal mortality in low- and middle-income countries and investigating AI applications in clinical decision-making to enhance clinicians’ performance and cognitive workload. Dr. Choudhury’s studies also address mental health issues, exploring the feasibility of mobile health technologies in suicide prevention and the early identification of depression and anxiety among students. Through a combination of qualitative and quantitative methods, he seeks to identify critical determinants of health outcomes and foster patient-centered care by enhancing the interaction between healthcare professionals and technology. His commitment to advancing healthcare systems is evident in his numerous publications and active involvement in interdisciplinary research initiatives.

Awards and Honors:

Avishek Choudhury, Ph.D., has received several prestigious awards and honors throughout his academic and professional career. Notably, he was recognized in 2024 with the Human Factors and Ergonomics Society’s Best Article Award for his outstanding article titled “Impact of Accountability, Training, and Human Factors on the Use of Artificial Intelligence in Healthcare.” This article was deemed the best in the 2023 volume of Human Factors and Ergonomics in Healthcare. In 2022, he was the recipient of the Paul Kaplan Award at Stevens Institute of Technology, which honors exemplary academic performance and exceptional promise, awarded annually to one Ph.D. candidate in the university. Choudhury also received the Outstanding Dissertation Award in 2022 for his distinguished research efforts. Additionally, he was awarded the Stevens Excellence Doctoral Fellowship and the Exceptional Achievement Award in 2021. His accomplishments also include the Best Student Paper Award in 2021 and the Fabrycky Blanchard Award for excellence in Systems Engineering research. Throughout his educational journey, he has also received several scholarships and fellowships, underscoring his commitment to advancing research in human factors and healthcare applications.

Publication Top Notes:

  • Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals
    • Authors: Choudhury, A., Chaudhry, Z.
    • Year: 2024
    • Citation: Journal of Medical Internet Research, 26(1), e56764.
  • Erratum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
    • Authors: Choudhury, A., Elkefi, S.
    • Year: 2024
    • Citation: Frontiers in Digital Health, 6, 1334266.
  • Editorial: Mobile health interventions to address maternal health: ideas, concepts, and interventions
    • Authors: Choudhury, A., Nimbarte, A.
    • Year: 2024
    • Citation: Frontiers in Digital Health, 6, 1378416.
  • Exploring the determinants influencing suicidal ideation and depression in gastrointestinal cancer patients
    • Authors: Choudhury, A., Shahsavar, Y.
    • Year: 2023
    • Citation: Scientific Reports, 13(1), 18236.
  • Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey
    • Authors: Choudhury, A., Shahsavar, Y., Sarkar, K., Choudhury, M.M., Nimbarte, A.D.
    • Year: 2023
    • Citation: Nutrients, 15(17), 3699

Conclusion:

Dr. Avishek Choudhury is a strong candidate for the Best Researcher Award, given his innovative and impactful contributions to human factors, healthcare AI, and medical informatics. His diverse research projects, commitment to global health challenges, and editorial leadership position him as a frontrunner in his field. Addressing minor areas for improvement—such as expanding international collaborations and public outreach—would further amplify his influence and reach. Overall, his track record makes him highly suitable for recognition as a leading researcher.

Bita Ayati | Engineering | Best Researcher Award

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Assoc Prof Dr. Bita Ayati | Engineering | Best Researcher Award

Assoc Prof Dr. Bita Ayati , Tarbiat Modares University , Iran

Dr. Bita Ayati is a distinguished researcher in the field of engineering, known for her innovative contributions to materials science and sustainable engineering practices. She earned her PhD in Engineering from [University Name], where her groundbreaking research focused on [specific topic or project]. Dr. Ayati has published numerous peer-reviewed articles and has been recognized with several awards for her impactful work. Currently, she serves as a faculty member at [Institution Name], where she teaches and mentors aspiring engineers while leading advanced research projects. Her dedication to fostering collaboration and knowledge exchange within the engineering community makes her a leading figure in her field.

Publication Profile

Scopus

Scholar

 

Awards

Dr. Bita Ayati has received numerous prestigious awards throughout her academic career, recognizing her outstanding contributions to education and research. She was honored as the Best University Professor at Tarbiat Modares University in both 2023 and 2017, and named Best University Researcher in 2016. In March 2015, she received the Young Researcher Award at the 10th Annual Dr. Taghi Ebtekar Environmental Awards. Her scholarly works have also been acknowledged, with nominations for Best Book at IRDA 2012 and winning the Students’ Book of the Year Award in 2011. Additionally, she has been recognized as the Best Researcher at Tarbiat Modares University in 2010 and received the Best Paper Award at CELCO in 2007. Dr. Ayati achieved First Rank in her Ph.D. program and was also recognized as the top Ph.D. student in Iran for the academic year 2004-2005. Her accolades include the Thematic Man and Biosphere (MAB) Young Scientist Award from UNESCO in 2002 and top rankings in her Master’s and Bachelor’s programs at Sharif University of Technology.

 

Education

Dr. Bita Ayati holds a Ph.D. in Civil (Environmental) Engineering from Tarbiat Modares University, completed in March 2005. She also earned her M.Sc. in Civil (Environmental) Engineering from Sharif University of Technology between 1996 and 1998. Earlier, she obtained her B.Sc. in Chemical Engineering from the same institution, graduating in 1996. Her academic journey reflects a strong foundation in both engineering disciplines, emphasizing her commitment to environmental sustainability and innovation.

Experience

Dr. Bita Ayati has extensive professional experience in environmental engineering, currently serving as the Head of the Environmental Engineering Division at Tarbiat Modares University since June 2023, after previously holding the same position from March 2020 to March 2022. She has been an Associate Professor in the Civil and Environmental Engineering Faculty since September 2010 and served as an Assistant Professor from July 2005 to September 2010. Additionally, Dr. Ayati led the Environmental Engineering Laboratory since 1999 and was a member of the HSE Committee from December 2012 to October 2016. Earlier in her career, she contributed to Yekom Consulting Engineering, focusing on the literature review of environmental assessments from 1996 to 1997. Her leadership and academic roles highlight her commitment to advancing the field of environmental engineering.

Professional Training

Dr. Bita Ayati has pursued extensive professional training to enhance her expertise in environmental engineering and related fields. Notable courses include the “Plastics: Impacts and Action” online course from Cornell University (2021) and participation in the Water Initiative South Asia (WISA) in Istanbul (2018). She attended the Matchmaking Workshop between the Leibniz Association and Iranian Researchers in Berlin (2017), as well as the Middle East and North Africa Group Invitation Program by the Japan Foundation (2017). Additionally, Dr. Ayati was part of the International Visitor Leadership Program in the USA focused on wetland management (2016) and attended an EABRN-UNESCO training workshop on Remote Sensing & GIS in Beijing (2011). Her training also includes various workshops in Iran on clean air strategies, water treatment, and hazardous waste management, demonstrating her commitment to professional development in environmental issues.

Publication Top Notes

M.G. Rahimi, Removal of petroleum hydrocarbons from wastewater using photolysis-moving bed biofilm reactor hybrid system, Accepted for Publication in Journal of Advanced Environmental Research and Technology.

R. Haririyan Javan, M. Seyyedi, B. Ayati, Evaluation of treatment and energy efficiencies of an advanced electrochemical system for Chlorella removal equipped with aluminum, graphite, and RGO nanoparticle-coated cathodes, Journal of Water Science and Engineering, January 2024, https://doi.org/10.1016/j.wse.2023.12.004.

S. Gan, Y. Meng, Z. Lin, C. Zheng, A. Zhu, H. Ganjidoust, B. Ayati, A. Huo, Efficient Removal of Antimony (V) from Antimony Mine Wastewater by Micrometer Zero-Valent Iron, Langmuir, 2023, 39(42), 14945–14957, https://doi.org/10.1021/acs.langmuir.3c01787.

H. Sadati, B. Ayati, Using A Promising Biomass-Based Biochar in Photocatalytic Degradation: Highly Impressive Performance of RHB/SnO2/Fe3O4 for Elimination of AO7, Journal of Photochemistry and Photobiology, 2023, 22(6), 1445-1462, https://doi.org/10.1007/s43630-023-00389-2.

M.G. Rahimi, B. Ayati, R.D. Webster, Removal of Petroleum Hydrocarbons from Wastewater using Photolysis-Moving Bed Biofilm Reactor Hybrid System, Journal of Advanced Environmental Research and Technology, 2023, 1(3), 25-34.

M.A. Mousavian, S. Hosseini, B. Ayati, Bioelectricity Generation and Decolorization of Reactive Blue 221 Using a Modified Cathode Dual-Chamber Microbial Fuel Cell, Water, 2023, 15(1), 101, https://doi.org/10.3390/w15010101.

S. Entezari, M. Abdullah Al, A. Mostashari, H. Ganjidoust, B. Ayati, J. Yang, Microplastics in urban waters and its effects on microbial communities: A critical review, Environmental Science and Pollution Research, 2022, 29(59), 88410-88431, https://doi.org/10.1007/s11356-022-23810-2.

M. Ghalebizade, B. Ayati, Modeling, Optimization and Kinetic Investigation of Acid Orange 7 Degradation using Ozonation in A Cylindrical Reactor with Recirculation Flow with RSM, Modares Civil Engineering Journal, 2022, 22(4), 19-31. (In Persian)

M. Seyyedi, B. Ayati, Design and Optimization of a Sequential and Hybrid AOP System using RSM, Applied Water Engineering and Research, 2023, 11(3), 381-393, https://doi.org/10.1080/23249676.2022.2125092.

F. Habibi, M. Seyyedi, B. Ayati, Synthesis and Application of Reusable and Magnetic RGO/Fe3O4 Nanocomposites in BR46 Removal from an Aqueous Solution; Future Prospects of an Efficient Adsorption Platform, Journal of Materials and Environmental Science, 2022, 13(8), 900-913.