Ammar Almomani | Cryptography | Best Researcher Award

Prof. Ammar Almomani | Cryptography | Best Researcher Award

๐ŸŒ Prof. Ammar Almomani is a distinguished Internet Infrastructures Security and AI-based cybersecurity expert with a Ph.D. from Universiti Sains Malaysia, ranked #142 globally. Recognized in the Top 2% of Global Influential Researchers by Stanford University and Scopus, he holds an extensive record with 117+ articles, 8 patents, and ongoing contributions. With 20 years of teaching across 5 esteemed institutions, he covers diverse cybersecurity topics. Currently a Professor and Head of Research at Skyline University College, UAE, he manages AI and cybersecurity projects, securing grants and contracts. A UAE Golden Visa Holder, Prof. Almomani brings five years of management experience, focusing on enhancing educational institutes. His expertise spans IPv6 security, IoT, Blockchain, AI, and more, contributing significantly to academia and industry. Committed to advancing the field, he has played a vital role in accreditation efforts and program development, making a positive impact in the educational sector(Cryptography). ๐Ÿš€๐Ÿ”๐Ÿ’ป

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Education:

๐ŸŽ“ Prof. Ammar Almomani earned his Ph.D. in Computer Science/Advanced Internet Security from Universiti Sains Malaysia (USM) in 2013, specializing in Internet Infrastructures Security. His dissertation, “Dynamic Evolving Neural Fuzzy Framework for Phishing E-mail Detection,” showcased his expertise. Earlier, he achieved a Master of Science in Computer Information Systems from the Arab Academy for Banking and Financial Sciences (AABFS) in 2005. His academic journey began with a Bachelor of Science in Computer Science from Mutah University, Jordan, in 2003. ๐ŸŒ๐Ÿ”’ Prof. Almomani’s educational background reflects his dedication to cutting-edge research in cybersecurity and internet security.(Cryptography)

Experience:

๐Ÿ‘จโ€๐Ÿซ Prof. Ammar Almomani, a seasoned academic and cybersecurity expert, currently serves as Professor and Head of the Research and Innovation Department at Skyline University College (SUC) in Sharjah, UAE, since 6-2-2022. Previously, he held key roles as Head of IT Department at Al-Balqa Applied University (BAU), Jordan, and Associate Professor at Al-Imam Muhammad Ibn Saud Islamic University in Saudi Arabia. With a rich academic history spanning Jordan and Saudi Arabia, he has contributed significantly, including a three-year tenure with the National Information Technology Centre (NITC). Additionally, Prof. Almomani continues his research journey as an Adjunct Researcher with Universiti Sains Malaysia’s National Advanced IPv6 Centre of Excellence (NAV6).(Cryptography) ๐ŸŒ๐Ÿ‘จโ€๐Ÿ’ผ

Award & Honors:

๐Ÿ“˜ Prof. Ammar Almomani, a trailblazing academic, has garnered numerous accolades for his exceptional contributions. Notably, he played a pivotal role in the electoral process of Al-Balqa Applied University in Jordan, earning a Book of Thanks in 2019. His research prowess shone at the 8th IEEE International Conference on Control System, Computing, and Engineering (ICCSCE 2018) in Malaysia, where he secured the Best Paper Award from IEEE in 2018. Recognized as one of the best researchers at Al-Balqa Applied University, he received certificates in 2017. His impactful initiatives in psychosocial counseling and smart devices engineering have left a lasting mark, celebrated through Books of Thanks. (Cryptography)๐Ÿ†๐Ÿ“˜๐ŸŒ

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Nagaraj Nandihalli | Photodetectors | Best Researcher Award

Dr. Nagaraj Nandihalli | Photodetectors | Best Researcher Award

๐Ÿ”ฌ Dr. Nagaraj Nandihalli, a distinguished researcher in the field of photodetectors, earned his Ph.D. in Chemistry with a focus on nanotechnology from the University of Waterloo in 2016. His doctoral thesis explored Ni0.05Mo3Sb5.4Te1.6 based thermoelectric nanocomposites. Dr. Nandihalli has held prestigious positions worldwide, including Research Fellow at Ames National Laboratory (US Dept. of Energy), contributing to Li-extraction from spodumene. His extensive work spans Japan, Taiwan, and Korea, showcasing expertise in semiconducting materials, thermoelectric nanomaterials, and effective media approximations. As a post-doctoral researcher, he fabricated innovative segmented TE devices and contributed to numerous publications. ๐ŸŒ๐Ÿ‘จโ€๐Ÿ”ฌ

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Education:

๐ŸŽ“ Dr. Nagaraj Nandihalli, a 2016 Ph.D. graduate from the University of Waterloo in Chemistry through the Nanotechnology stream, specializes in groundbreaking research. His doctoral thesis delved into the realm of thermoelectric nanocomposites with the title “Ni0.05Mo3Sb5.4Te1.6.” ๐ŸŒ As a trailblazer in nanotechnology, Dr. Nandihalli has contributed significantly to the field, demonstrating expertise in synthesizing and characterizing advanced materials for thermoelectric applications. His innovative work showcases a commitment to scientific excellence and a dedication to advancing the understanding of nanomaterials. ๐Ÿ”ฌโœจ

Experience:

๐ŸŒ Driven by a passion for scientific exploration, Dr. Nagaraj Nandihalli has left an indelible mark on global research. As a Research Fellow at Ames National Laboratory, US Dept. of Energy, he focused on hydrometallurgical Li-extraction from spodumene and Rare Earth materials. In Japan’s NIMS, he pioneered advancements in semiconducting materials, thermoelectric nanomaterials, and Kapitza resistance estimation. His tenure in Taiwan involved independent research on Zn/Na-doped PbTe materials and innovative nanostructured InSb nanocomposites. At Yonsei University in Korea, he fabricated segmented TE devices and explored diverse TE materials. A dedicated educator, Dr. Nandihalli contributed significantly as a Teaching/Research Assistant at the University of Waterloo. ๐Ÿš€๐Ÿ”ฌ

Award & Honors:

๐Ÿ† Dr. Nagaraj Nandihalli, a distinguished scientist, received the prestigious IAAM Scientist Award and was honored as an IAAM Fellow by the International Association of Advanced Materials in Sweden, April 2023. His contributions to the field have been recognized globally. In 2013, his excellence was acknowledged with the Best Poster Award at the Canadian Chemistry Conference in Quebec, Canada. Dr. Nandihalli is a proud Member of the Royal Society of Chemistry since June 2022, showcasing his commitment to advancing the realms of science and materials. ๐ŸŒโœจ

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Rajesh Prasad | Artificial Intelligence and Machine Learning for cancer detection | Best Researcher Award

Prof Dr. Rajesh Prasad | Artificial Intelligence and Machine Learning for cancer detection | Best Researcher Award

Prof. Dr. Rajesh Prasad, a trailblazer in Artificial Intelligence and Machine Learning for cancer detection, serves as the Associate Dean (Engineering) at MIT Art, Design and Technology University, Pune, India. With a Ph.D. in Computer Science & Engineering and 27 years of experience, he has held key positions, including Director at Amity University, Jaipur, and academic roles at prestigious institutions. ๐ŸŒ Recognized for his contributions, he’s a Senior Member of IEEE, a Fellow of the Institution of Engineers, and a Life Member of ISTE and CSI. ๐Ÿ† His accolades include awards for academic excellence and a post-doc from Lincoln University College Malaysia. ๐Ÿš€

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Education:

๐ŸŽ“ Dr. Rajesh Prasad, an accomplished scholar and innovator, earned his Ph.D. in Computer Science & Engineering from Swami Ramanand Tirth Marathwada University in March 2012. His academic journey includes a First Class Master’s in Computer Engineering from the University of Pune in June 2004, an A Grade MBA from North Maharashtra University in June 1998, and a Distinction in BE Computer Science & Engineering from North Maharashtra University in June 1996. ๐Ÿ† With this rich educational background, Dr. Prasad has become a prominent figure in the field, contributing significantly to the realms of Artificial Intelligence and Machine Learning. ๐Ÿš€

Experience:

๐ŸŒŸ With a diverse and enriching career spanning 27 years, Dr. Rajesh Prasad has been a dynamic force in the education sector. ๐Ÿซ He has served in pivotal roles, from Deputy Academic Director at iNurture Education Pvt. Ltd. in Bengaluru to Director at Amity School of Engg. & Tech., Amity University, Jaipur. ๐ŸŽ“ Dr. Prasad’s leadership includes a notable tenure as Principal, Professor, and Head of the Computer Engineering department at Sinhgad Institutes, Pune. ๐Ÿš€ His impactful journey also features roles as Professor & Dean (Studentโ€™s Affair) and Head of the Department at ZESโ€™s Dnyanganga College of Engineering and Research, Pune, and Vishwakarma Institute of Information Technology, Pune, respectively. ๐Ÿ‘จโ€๐Ÿซโœจ

Special achievement & Awards:

๐Ÿ” Dr. Rajesh Prasad, a luminary in the realm of academia and research, boasts a stellar portfolio of accomplishments and recognitions. ๐Ÿ† Serving as a distinguished member of the editorial board for Elsevier’s International Journal of Intelligent Systems and Applications in Engineering, he brings expertise to the forefront. ๐ŸŒ His multifaceted role extends to being a key figure in educational governance, with positions on the Board of Studies at JSPMโ€™s Rajarshi Shahu College of Engineering and as a Research Review Committee member at Symbiosis International University. ๐ŸŒŸ A Senior Member of IEEE, he earned recognition as an Adjunct Professor at Prowess University, Delaware, USA. ๐ŸŽ“ Dr. Prasad’s journey is punctuated with accolades, including the prestigious Bhartiya Bhasha Index and awards for teaching excellence. ๐Ÿš€

Publication:

 

 

 

Mohd Parvez | Thermal Engineering | Best Researcher Award

Prof Dr. Mohd Parvez | Thermal Engineering | Best Researcher Award

๐ŸŒŸ Dr. Mohd Parvez is a distinguished Professor in the Department of Mechanical Engineering & Thermal Engineering , bringing over 23 years of teaching and 13 years of research experience. ๐ŸŽ“ He earned his Ph.D. in Mechanical Engineering from Maharshi Dayanand University, Rohtak, with a focus on exergy analysis of syngas-fueled combined power cycles. ๐Ÿ”„ Throughout his academic journey, he has held key administrative roles such as Head of Department, Dean Academics, and currently serves as the Officiating Registrar at Al-Falah University, Faridabad. ๐Ÿ› ๏ธ With a decade of industrial expertise as a Maintenance Engineer, Dr. Parvez has successfully executed various projects in power stations, showcasing his practical insights in addition to his academic prowess.

Profile:

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Educations:

๐ŸŽ“ Dr. Mohd Parvez is a highly qualified academician with a Ph.D. in Mechanical Engineering (2015) from Maharshi Dayanand University, Rohtak, showcasing his expertise in the field. ๐Ÿš€ Prior to his doctoral journey, he earned an M. Tech. in Mechanical Engineering (2009) from Uttar Pradesh Technical University, Lucknow, where he demonstrated outstanding performance with a CPI of 76.7%. ๐Ÿ›๏ธ His academic foundation was laid at Jamia Millia Islamia, New Delhi, where he completed his B.E. in Mechanical Engineering (1995) with an impressive FCPI of 77.59%. ๐ŸŒ Dr. Parvez’s educational journey reflects a commitment to excellence and a passion for mechanical & Thermal engineering.

Experience:

๐ŸŽ“ Dr. Mohd Parvez, an accomplished professor, holds a Ph.D. in Mechanical Engineering, focusing on “Implementation of Thermodynamic Equilibrium Model for Exergy Analysis of Syngas Fuelled Combined Power Cycles.” ๐ŸŒ His M. Tech. Dissertation explored “Exergy Analysis of Multi-Effect Vapour Absorption Refrigeration System.” With 23 years in teaching and 13 years in research, he has shaped minds at Al-Falah University, currently serving as the Officiating Registrar. ๐Ÿ›๏ธ Dr. Parvez’s administrative roles include Dean Academics and Head of the Mechanical Engineering Department. ๐Ÿ› ๏ธ His diverse experience spans a decade as a Maintenance Engineer and notable projects in thermal power stations. A dedicated educator with a rich industrial background, Dr. Parvez seamlessly blends academia with practical insights.

Publications Top Notes:

 

  • ๐Ÿ“š Publication: “4-E analysis and multiple objective optimizations of a novel solar-powered cogeneration energy system for the simultaneous production of electrical power and heating”
    • ๐Ÿ‘ฅ Authors:
    • Ahamad, T.
    • Parvez, M. ๐ŸŒž
    • Lal, S.
    • Khan, O.
    • Idrisi, M.J.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Experimental investigation and multi-performance optimization of the leachate recirculation based sustainable landfills using Taguchi approach and an integrated MCDM method”
    • ๐Ÿ‘ฅ Authors:
    • Khan, O.
    • Mufazzal, S.
    • Sherwani, A.F.
    • Parvez, M. ๐ŸŒฑ
    • Idrisi, M.J.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives”
    • ๐Ÿ‘ฅ Authors:
    • Khan, O.
    • Parvez, M. ๐Ÿš—
    • Kumari, P.
    • Parvez, S.
    • Idrisi, M.J.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Application of artificial intelligence in green building concept for energy auditing using drone technology under different environmental conditions”
    • ๐Ÿ‘ฅ Authors:
    • Khan, O.
    • Parvez, M. ๐ŸŒ
    • Alansari, M.
    • Devarajan, Y.
    • Thanappan, S.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Performance evaluation of diesel engine with fuels prepared from hydrogen and nanoparticle blended biodiesel by varying injection pressure”
    • ๐Ÿ‘ฅ Authors:
    • Ghani Nasim, M.A.
    • Parvez, M. ๐Ÿš—
    • Khan, O.
    • Hassaan, M.
    • Dewangan, A.K.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Maximizing biodiesel production: An intelligent software-driven optimization of ultrasonic reactor operating variables”
    • ๐Ÿ‘ฅ Authors:
    • Nasim, M.A.G.
    • Khan, O.
    • Parvez, M. ๐ŸŒฑ
    • Chouhan, P.S.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Parametric analysis of solar-assisted trigeneration system based on energy and exergy analyses”
    • ๐Ÿ‘ฅ Authors:
    • Akram, W.
    • Parvez, M. ๐ŸŒž
    • Khan, O.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Multi-Objective Optimization for Ranking Waste Biomass Materials Based on Performance and Emission Parameters in a Pyrolysis Processโ€”An AHPโ€“TOPSIS Approach”
    • ๐Ÿ‘ฅ Authors:
    • Howari, H.
    • Parvez, M. ๐ŸŒฑ
    • Khan, O.
    • Mallah, A.
    • Yahya, Z.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “First and Second Law Analyses of an Organic Rankine Cycle to Recover the Waste Heat from the Solar-Operated Combined Cycle Power Plants with Grid”
    • ๐Ÿ‘ฅ Authors:
    • Akram, W.
    • Parvez, M. ๐ŸŒž
    • Rafi, K.M.
    • Khan, O.
    • ๐Ÿ“… Year: 2023
  • ๐Ÿ“š Publication: “Investigation of (3E) energy, exergy, and environmental analysis of syngas production for combined power and cooling plant by testing six different biomasses”
    • ๐Ÿ‘ฅ Authors:
    • Parvez, M. ๐ŸŒฑ
    • Khan, O.
    • Howari, H.
    • ๐Ÿ“… Year: 2023

 

 

Kamal Thapa Magar | Environmental Conservation | Best Researcher Award

Kamal Thapa Magar | Environmental Conservation | Best Researcher Award

PhD scholar at Tribhuvan University- Institute of Forestry , Nepal

๐ŸŒฟ Prof Kamal Thapa Magar, a dedicated environmentalist from Nepal, holds a Ph.D. in Natural Resource Management from Nepal Engineering College. With a Master’s in Natural Resource Management and a Bachelor’s in Environment Management, he brings a rich academic background. Currently a Lecturer at the Institute of Forestry, Katmandu, Kamal is also the Lead for Development, Research, and Monitoring at the Nepal Magar Association. His diverse roles include serving as an Environmental Advisor for Indigenous Women Legal Awareness Group and contributing as a Wildlife Biologist (Consultant) for Snow Leopard Conservancy, USA. Kamal’s extensive experience reflects his commitment to biodiversity conservation and disaster risk reduction. ๐ŸŒณ๐Ÿ“š๐Ÿพ

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Education

๐ŸŒณ Dr. Kamal Thapa Magar, a passionate environmentalist hailing from Nepal, is on a remarkable academic journey. Currently, he stands on the threshold of earning a Ph.D. in Natural Resource Management from the Institute of Forestry, Kirtipur, Kathmandu, with a thesis submitted for consideration. His academic prowess extends to a Master’s degree in Natural Resource Management from Nepal Engineering College and a Bachelor’s in Environment Management from the School of Environmental Management and Sustainable Development, Kathmandu. Kamal’s foundation in General Forestry from the Institute of Forestry, Pokhara, and his early education at Janata Vidyalaya, Tansen, culminating in a School Leaving Certificate in Science, showcase his comprehensive educational background. ๐ŸŽ“๐ŸŒฟ๐ŸŒ

Experience

๐ŸŒ Dr. Kamal Thapa Magar, a seasoned environmentalist, has navigated diverse roles, embodying his commitment to conservation. As the Lead for Development, Research, and Monitoring at the Nepal Magar Association, he spearheads strategic planning and environmental advisory initiatives. Simultaneously, Kamal imparts his expertise as a Lecturer at the Institute of Forestry, Katmandu, specializing in wildlife management and ecotourism. Serving as an Environmental Advisor for the Indigenous Women Legal Awareness Group, he provides valuable insights into environmental issues and program development. His extensive consultancy as a Wildlife Biologist for Snow Leopard Conservancy, USA, and managerial roles at Rural Reconstruction Nepal and WWF Nepal underscore Kamal’s dedication to biodiversity conservation and disaster risk reduction. ๐Ÿฆ‹๐Ÿ“š๐ŸŒฒ

Research Focus

Dr. Kamal Thapa Magar is deeply invested in environmental conservation, focusing on a range of critical issues. His research interests span the effectiveness of coexistence measures between humans and wildlife, such as snow leopards. He delves into the dynamics of antibiotic resistance in environmental bacteria, exploring the implications for public health. Additionally, Dr. Magar contributes significantly to understanding and preserving biodiversity, with a specific focus on the habitat vulnerability of iconic species like the snow leopard to climate change. His multidisciplinary approach reflects a commitment to bridging the gap between ecological research and practical conservation strategies for a sustainable and harmonious coexistence between nature and society. ๐ŸŒฟ๐ŸŒ๐Ÿฆ‹

Publications Top Notes

๐Ÿ“š Dr. Kamal Thapa Magar’s notable publications include:

“Cats, canines, and coexistence: Dietary differentiation between the sympatric Snow Leopard and Grey Wolf in the western landscape of Nepal Himalaya” in Journal of Threatened Taxa, 2019, with 5 citations. Link

“Emergence of staphylococcal cassette chromosome mec type I with high-level mupirocin resistance among methicillin-resistant Staphylococcus aureus” in Asian Pacific Journal of Tropical Biomedicine, 2017, with 16 citations. Link

“Detection of metallo-ฮฒ-lactamases-encoding genes among clinical isolates of Pseudomonas aeruginosa in a tertiary care hospital, Kathmandu, Nepal” in BMC Research Notes, 2017, with 14 citations. Link

“Prevalence of Extended Spectrum Beta-Lactamase Producing Klebsiella Pneumoniae Isolated From Urinary Tract Infected Patients” in Journal of Nepal Health Research Council, 2016, with 8 citations. Link

“Conservation and climate change: Assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya” in Biological Conservation, 2012, with 152 citations. Link

“Noninvasive genetic population survey of snow leopards (Panthera uncia) in Kangchenjunga conservation area, Shey Phoksundo National Park and surrounding buffer zones of Nepal” in BMC Research Notes, 2011, with 38 citations. Link

Tina Verma | Fuzzy Set Theory and Dynamical behaviour | Best Researcher Award

Dr. Tina Verma: Fuzzy Set Theory and Dynamical behaviour

๐ŸŒŸ Dr. Tina Verma, a distinguished scholar in Fuzzy Set Theory and Dynamical Behavior, holds a Ph.D. in Mathematics from Thapar University (2016) with a perfect 10/10 CGPA. Her academic journey showcases brilliance, earning her an INSPIRE Fellowship from the Department of Science and Technology for being the M.Sc. topper. Quickly advancing from JRF to SRF, Tina’s commitment led to a โ‚น30,800 fellowship. Her M.Sc. (Mathematics and Computing) at Thapar University (2012) reflects a stellar 9.92/10 CGPA. Tina’s academic prowess began with a B.Sc. in Computer, Statistics, and Maths at Punjabi University (2010). Recognized for her excellence, she received the Roll of Honor Certificate and Cash Prize from Prof. Mohan Paul, Vice-Chancellor of Jammu University. ๐Ÿ†โœจ

Professional Profiles:

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Education:

๐ŸŒŸ Driven by academic excellence, Dr. Tina Verma earned her Ph.D. in Mathematics from Thapar University, Patiala, graduating with a perfect 10/10 CGPA in 2016. Prior to her doctoral achievements, she secured a remarkable 9.92/10 CGPA during her M.Sc. in Mathematics and Computing at Thapar University in 2012. Tina’s educational journey commenced with a B.Sc. in Computer, Statistics, and Maths from Punjabi University, Patiala, where she achieved an impressive 83.14% in 2010. Her solid foundation began in high school (10+2) at P.S.E.B, where she scored 81.8% in 2007, and in Matric with a notable 81.3% in 2005. ๐Ÿ†๐Ÿ“šโœจ

Experience:

๐Ÿ‘ฉโ€๐Ÿซ Dr. Tina Verma’s academic journey extends into her impactful roles as an educator. She commenced her career as a Lecturer of Mathematics at Sri Guru Harkrishan College of Management & Technology, Patiala (affiliated to Punjabi University) from July 20, 2012, to July 29, 2013. Subsequently, she contributed as a Teaching Associate at Thapar University, Patiala, from August 5, 2013, to October 31, 2013. Tina then assumed the role of an Assistant Professor of Mathematics at Chandigarh University, Gharuan, Mohali, leaving her mark from July 21, 2016, to November 30, 2017. Following this, she delved into research as a Post-Doctoral Fellow at the Indian Institute of Technology, Ropar, Punjab, from December 01, 2017, to November 30, 2020. Currently, Tina continues to inspire as an Assistant Professor in the School of Mathematics at TIET Patiala since July 01, 2021. ๐ŸŒ๐Ÿ“šโœจ

Conference & Workshop:

๐ŸŒ Dr. Tina Verma is a dedicated researcher in Fuzzy Set Theory, renowned for her contributions to matrix games with fuzzy payoffs. She presented her work globally, including the Third International Conference on Business and Management in Mumbai (2014) and the International Congress on Industrial and Applied Mathematics (ICIAM) in Valencia, Spain (2019). Her expertise extends to solving imprecise matrix games and uncertain two-person zero-sum games, showcased at conferences in Delhi, Thrissur, and the United Arab Emirates. Apart from her research endeavors, Tina actively participated in workshops on ethics, Excel modeling, communication skills, and fuzzy logic applications, underscoring her commitment to both academic and practical facets of her field. ๐ŸŒ๐Ÿ”๐Ÿ“Š

Research Interest:

๐Ÿ” Dr. Tina Verma’s research interests span a diverse spectrum, showcasing her intellectual versatility. Her primary focus lies in Fuzzy Set Theory, unraveling the intricacies of imprecision and uncertainty in mathematical models. Adept in Optimization, Tina navigates the landscape of efficient decision-making and problem-solving methodologies. Her expertise extends to Nonlinear Dynamics, delving into the complexities of dynamic systems and their behavior. In the realm of Epidemiology, she contributes to understanding the spread and control of diseases, employing mathematical models for insightful analysis. Tina’s multidisciplinary approach underscores her commitment to exploring the intersections of mathematics and real-world applications. ๐Ÿง ๐ŸŒ๐Ÿ“ˆ๐Ÿ”ฌ

Publication Top Note:
  • “Evolutionary dynamics of rock-paper-scissors game in the patchy network with mutations”
    • Authors: Verma, T., Gupta, A.K.
    • Journal: Chaos, Solitons and Fractals, 2021, 153, 111538
    • Citations: 2 ๐Ÿ“–๐Ÿ”ฌ
  • “Network synchronization, stability and rhythmic processes in a diffusive mean-field coupled SEIR model”
    • Authors: Verma, T., Gupta, A.K.
    • Journal: Communications in Nonlinear Science and Numerical Simulation, 2021, 102, 105927
    • Citations: 14 ๐Ÿ“Š๐ŸŒ
  • “A novel method for solving constrained matrix games with fuzzy payoffs”
    • Author: Verma, T.
    • Journal: Journal of Intelligent and Fuzzy Systems, 2021, 40(1), pp. 191โ€“204
    • Citations: 6 ๐Ÿง ๐ŸŽฒ
  • “Mean-field dispersal induced synchrony and stability in an epidemic model under patchy environment”
    • Authors: Verma, T., Gupta, A.K.
    • Journal: Physica A: Statistical Mechanics and its Applications, 2020, 541, 123300
    • Citations: 4 ๐Ÿฆ ๐ŸŒ
  • “Matrix games with fuzzy payoffs”
    • Authors: Verma, T., Kumar, A.
    • Book Chapter: Studies in Fuzziness and Soft Computing, 2020, 383, pp. 37โ€“63
    • Citations: 3 ๐Ÿ“š๐ŸŽฒ
  • “Future scope”
    • Authors: Verma, T., Kumar, A.
    • Book Chapter: Studies in Fuzziness and Soft Computing, 2020, 383, pp. 165โ€“166
    • Citations: 2 ๐Ÿ”ฎ๐Ÿš€
  • “Preface”
    • Authors: Verma, T., Kumar, A.
    • Editorial: Studies in Fuzziness and Soft Computing, 2020, 383, pp. viiโ€“viii
    • Citations: 1 ๐Ÿ“๐Ÿ“˜

 

 

 

Soniya Gupta | Multi-Criteria Decision Making | Best Researcher Award

Ms. Soniya Gupta: Multi-Criteria Decision Making

Ms. Soniya Gupta ๐ŸŒŸ is a dynamic researcher ๐Ÿงช with a passion for Multi-Criteria Decision Making. Motivated by a positive outlook and armed with strong analytical skills, Soniya embarked on a journey to join the academic community ๐Ÿ“š. Eager to learn from and collaborate with the most skilled professionals, she aspires to contribute to organizational growth while crafting a fulfilling career in research and development ๐Ÿš€. With an insatiable curiosity and development abilities, Soniya Gupta is dedicated to making impactful strides in her chosen field. ๐ŸŒ

Professional Profiles:

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Education:

๐ŸŽ“ Soniya Gupta is an accomplished scholar ๐ŸŒŸ currently pursuing a Ph.D. in Applied Mathematics from the esteemed Dehradun Institute of Technology. Under the guidance of Dr. Dheeraj Joshi, Assistant Professor in the Department of Mathematics, her research delves into the fascinating realm of “Study of fuzzy set theory in the linguistic and probabilistic environment” ๐Ÿง . Prior to her doctoral journey, Soniya earned her M.Sc. in Applied Mathematics with first-division honors (73.75%) from Choudhary Charan Singh University, Meerut. She laid the academic foundation with a stellar B.Sc. (Physics, Chemistry, Mathematics) degree, achieving first division with an impressive 72.4%. ๐Ÿ“š

Experience:

๐Ÿ‘ฉโ€๐Ÿซ Soniya Gupta, a versatile academician, has showcased her dedication to education through various roles at DIT Dehradun. As a Tutor for Engineering Mathematics-I (MAF 101) from September 2021 to January 2023, she imparted knowledge and guided students. Serving as the Course Coordinator for Remedial Mathematics (BP106 RMT) from September 2022 to January 2023, Soniya played a pivotal role in academic support. Her commitment continued as a Tutor for Mathematics (MAF 202) and Lab Tutor for Statistics (SAF 216, 217) and C Programming language and MS Office (MAF 109) courses from January to May 2023. Beyond academics, she actively participated in Mathematics Subject Association and engaged in quiz competitions and seminars. ๐Ÿ“š๐Ÿ‘ฉโ€๐Ÿ’ป

Research Interest:

๐Ÿง  Soniya Gupta’s research passion revolves around Fuzzy Sets and Multi-Criteria Decision Making (MCDM). ๐ŸŒ Delving into the intricacies of fuzzy sets, she explores the dynamic realm where uncertainty and imprecision play a pivotal role. With a keen interest in MCDM, Soniya is committed to unraveling effective decision-making methodologies, especially in complex and uncertain environments. Her work aims to bridge gaps in understanding decision processes by incorporating fuzzy logic and criteria optimization. ๐Ÿ’ก By merging these fields, she strives to contribute innovative solutions for tackling decision-making challenges, adding clarity to ambiguous scenarios. ๐Ÿš€

Conference & Workshop:

๐ŸŒ Soniya Gupta, a prolific researcher, has showcased her expertise through paper presentations at prestigious conferences. At the 2โฟแตˆ International Conference on Applied Mathematics & Computational Sciences (ICAMCS-2022), she enlightened the audience on the “TOPSIS Method for Decision Making Problems Under Interval-valued Intuitionistic Fuzzy Environment.” Additionally, at the 4๐’•๐ก National Conference on Recent Advancements in Physical Sciences (NCRAPS2022), Soniya presented on the โ€œORESTE approach for sustainable supplier selection problem with probabilistic dual hesitant fuzzy information.โ€ Her contributions extended to the 3๐ซ๐ International Conference on Computer Vision and Robotics (CVR 2023) and the 2๐ง๐ International Conference on Renewable Power (ICRP-2023), exploring applications in pattern recognition and renewable energy systems. ๐Ÿ“โœจ Soniya’s commitment to continuous learning is evident in her participation in workshops like the 5-Day International Workshop on โ€œOptimization Techniques in Industrial and Engineering Applications (IWOTIEA)โ€ and the 40-hour online faculty development program on โ€œOptimization Techniques: Theory, Practice, and Emerging Applications.โ€ ๐Ÿ› ๏ธ๐Ÿ“š

Publication Top Note:

 

 

Shobana Manoharan | Machine learning in antenna | Best Faculty Award

Dr. Shobana Manoharan: Machine Learning in Antenna

๐Ÿ‘ฉโ€๐Ÿซ Dr. M. Shobana is an accomplished Associate Professor at JJ College of Engineering and Technology, Trichy. She earned her Ph.D. in Microwave Engineering from the prestigious National Institute of Technology, Trichy, in July 2022. With a Master’s degree in Optical Communication from Alagappa Engineering College, Karaikudi, Tamil Nadu, India, Dr. Shobana has demonstrated expertise in diverse fields, including antennas, metamaterials, electromagnetics, and the innovative integration of machine learning in antenna design. ๐ŸŒ Her academic journey spans over a decade, having served as an Assistant Professor before assuming her current role. Dr. Shobana continues to contribute significantly to the realms of research and education. ๐Ÿš€

Professional Profiles:

Scopus

Orcid

Education:

๐ŸŽ“ Dr. M. Shobana, a trailblazing researcher and educator, proudly holds a Ph.D. in Microwave Engineering from the esteemed National Institute of Technology, Trichy, awarded in July 2022. ๐ŸŒ Prior to her doctorate, she earned a Master’s degree in Optical Communication from Alagappa Engineering College, Karaikudi. ๐Ÿš€ Driven by academic excellence, she graduated with First Class with Distinction in Electronics and Communication Engineering from Jayaram College of Engineering, Trichy, as part of her Bachelor’s journey. ๐Ÿ† Dr. Shobana’s academic prowess, coupled with her passion for innovation, showcases a remarkable journey in the realms of technology and education.

Experience:

๐Ÿ‘ฉโ€๐Ÿซ Dr. M. Shobana, an accomplished academic, currently serves as an Associate Professor at JJ College of Engineering & Technology, Trichy, since February 2019. ๐Ÿซ Her journey in education began as a Lecturer at Srinivasa Polytechnic College, Trichy, from August 2001 to October 2005. ๐ŸŒŸ Subsequently, she joined JJ College, initially as a Lecturer from December 2005 to July 2006, and then progressed to Assistant Professor (SE.G) from December 2007 to February 2019. ๐Ÿš€ With a rich tapestry of teaching experience, Dr. Shobana continues to inspire and contribute to the academic community in her current role as Associate Professor.

Research Interest:

๐Ÿ” Dr. M. Shobana’s research interests span a captivating realm of cutting-edge technologies. ๐ŸŒ Specializing in Microwave Engineering, she delves into the intricacies of electromagnetic waves, antenna design, and the transformative field of metamaterials. ๐Ÿ›ฐ๏ธ Her work explores the frontiers of Microwave Engineering, unlocking potential advancements in communication and sensing technologies. ๐ŸŒŒ Metamaterials, with their unique electromagnetic properties, form a key focus, promising breakthroughs in control and manipulation of waves. ๐Ÿš€ Dr. Shobana’s passion lies in unraveling the mysteries of electromagnetics, paving the way for innovations that could reshape the landscape of wireless communication and signal processing.

Conferences Attended:

๐Ÿ“š Dr. M. Shobana, a prolific researcher, has showcased her expertise through numerous paper presentations. ๐Ÿ“Š Her paper, “Performance Enhancement of Terahertz antenna embedded with 8×8 array of frequency selective surface,” was accepted at the prestigious IEEE 8th International Conference for Convergence in Technology (I2CT) in Pune. ๐ŸŒ In 2021, she presented a groundbreaking paper on “Machine learning hexagonal monopole antenna using linear regression algorithm” at the ASIANCON conference. ๐Ÿค– Dr. Shobana’s contributions extend to security surveillance systems, hyper spectral image processing, dual rail precharge logic, and real-time video communication, establishing her as a dynamic figure in the intersection of technology and academia. ๐Ÿš€

Publication Top Note:
  • CSRR Inspired Antenna Using Artificial Neural Network for Sub 6 GHz 5G Applications
  • Performance Enhancement of Terahertz Antenna Embedded with 8×8 Array of Frequency Selective Surface
  • Application of Frequency Selective Surface in Modern Medical Field
    • Author: M. Shobana
    • Year: 2023-01-01
    • URI: Link
    • ๐Ÿ“–๐Ÿฅ
  • Design of Sub-6 GHz Antenna Using Negative Permittivity Metamaterial for 5G Applications
  • A Quad-Band Fractal Antenna with Metamaterial Resonator-Backed Ground for Sub-6 GHz, C and X Band Applications
    • Authors: Shobana Manoharan, Pandeeswari Ramasamy, Raghavan Singaravelu
    • Year: 2021-09
    • DOI: 10.1007/s00339-021-04862-6
    • ๐Ÿ“–๐Ÿ”
  • Machine Learning Hexagonal Monopole Antenna using Linear Regression Algorithm
  • A Blueprint for Advancement: Infusing Engineering With More Women [Career Advisor]