Elisabetta Michetti | Economic Growth Award | Best Researcher Award

Prof Elisabetta Michetti | Economic Growth Award | Best Researcher Award

Prof Elisabetta Michetti , University of Macerata , Italy

Elisabetta Michetti, born in Fermo on February 17, 1974, is an Associate Professor of Mathematical Methods for Economics and Actuarial and Financial Sciences at the University of Macerata. Since 2011, she has been teaching courses in Financial Mathematics, including classes in English, and contributing to doctoral programs. Her research spans dynamic systems applications in micro and macroeconomics, finance, environmental economics, and active aging. Michetti has authored numerous publications in high-impact international journals. She actively participates in national and international conferences and holds various organizational and institutional roles at her university. πŸ‘©β€πŸ«πŸ“šπŸ”’

Publication Profile

Scopus

Education πŸ“š

Elisabetta Michetti has an extensive and well-rounded educational background that has greatly contributed to her expertise in the fields of economics and finance. Ph.D. in Economics, Policy, and Legislation.She earned her Ph.D. in “Economics, Policy, and Legislation of Intermediaries and International Financial Markets” from the University of Rome, La Sapienza, in 2003.

International Academic Experience 🌍✈️

Elisabetta’s academic journey is enriched by her international experiences. During the 2001-2002 academic year, she was a visiting scholar at the University Autonoma and the University Pompeu Fabra in Barcelona, Spain. She completed and passed several high-level courses: Game Theory under Prof. David PΓ©rez Castrillo at the PhD IDEA program, University Autonoma of Barcelona. International Macroeconomics under Prof. Philippe Bacchetta at the Graduate Program in Economics and Management, University Pompeu Fabra. Dynamic Equations under Prof. Xavier Jarque Rivera at the PhD IDEA program, University Autonoma of Barcelona. Discrete Dynamic Systems under Prof. Jaume Llibre SalΓ² at the PhD in Mathematics, University Autonoma of Barcelona. These experiences abroad significantly broadened her academic horizons and provided her with a diverse perspective on economic theories and applications.

Research Focus

Elisabetta Michetti’s research focuses on dynamic systems applications in economics and finance, particularly in understanding the dynamics of industrial structures and their relationship to evasion models. She investigates how capital exploitation and environmental awareness influence economic and environmental outcomes in dynamic frameworks. Michetti also explores bifurcation mechanisms in nonlinear maps and the effects of size-dependent enforcement on tax evasion dynamics. Her work sheds light on the interplay between economic development, public prevention measures against communicable diseases, and real economy fluctuations. Through her research, Michetti contributes to the advancement of understanding in economic dynamics and policy implications. πŸ“ŠπŸ”πŸ’‘

Publication Top Notes

πŸ“… (2003) C. MAMMANA, E. MICHETTI. Infinite Memory Expectations in a Dynamic Model with Hyperbolic Demand. NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES, vol. 7, p. 13-25

πŸ“… (2004) C. MAMMANA, E. MICHETTI. Backward and Forward-looking Expectations in a Chaotic Cobweb Model. NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES, vol. 8, p. 511-526

πŸ“… (2006) J. CABALLE’, X. JARQUE, E. MICHETTI. Chaotic Dynamics in Credit Constrained Emerging Economies. JOURNAL OF ECONOMIC DYNAMICS & CONTROL, vol. 30, p. 1261-1275

πŸ“… (2006) R. COPPIER, E. MICHETTI. Corruption vs Production. A Non-linear Relationship. ECONOMIC MODELLING, vol. 23, p. 622-637

πŸ“… (2007) S. BRIANZONI, C. MAMMANA, E. MICHETTI. Complex Dynamics in the Neoclassical Growth Model with Differential Savings and Non-constant Labor Force Growth. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, vol. 11, p. 1-17

πŸ“… (2008) D. CHEBAN, C. MAMMANA, E. MICHETTI. Global Attractors of Quasi-Linear Non-autonomous Difference Equations. BULETINUL ACADEMIEI DE TIINE A REPUBLICII MOLDOVA. MATEMATICA, vol. 1(56), p. 84-104

πŸ“… (2008) S. BRIANZONI, C. MAMMANA, E. MICHETTI, F. ZIRILLI. A Stochastic Cobweb Dynamical Model. DISCRETE DYNAMICS IN NATURE AND SOCIETY, vol. 2008 (id 219653), p. 1-18

πŸ“… (2008) C. MAMMANA, E. MICHETTI. Endogenous Instability in Credit-Constrained Emerging Economies with Leontief Technology. DISCRETE DYNAMICS IN NATURE AND SOCIETY, vol. 2008 (id 196494), p. 1-16

πŸ“… (2008) C. MAMMANA, E. MICHETTI. Chaos in a Class of Maps on the Interval: the Case of a Small Open Economy with Credit Constraint. MODELLING, MEASUREMENT & CONTROL. D, MANUFACTURING, MANAGEMENT, HUMAN AND SOCIO-ECONOMIC PROBLEMS, vol. 29, p. 58-69

πŸ“… (2009) S. BRIANZONI, C. MAMMANA, E. MICHETTI. Non-linear Dynamics in a Business-Cycle Model with Logistic Population Growth. CHAOS, SOLITONS AND FRACTALS, vol. 40, p. 717-730

Choong-Gon LEE | Chemical Engineering Award | Best Researcher Award

Prof Choong-Gon LEE | Chemical Engineering Award | Best Researcher Award

Prof Choong-Gon LEE , Hanbat National University, South Korea

Professor Choong-Gon LEE, an esteemed faculty member at Hanbat National University, has a distinguished academic and professional background in chemical and electrochemical engineering. He obtained his Ph.D. in Applied Chemistry from Tohoku University, Japan, in 1997, and his M.S. (1988) and B.S. (1986) in Chemical Engineering from Yonsei University, Korea. Since 2004, Professor LEE has been dedicated to teaching and research at Hanbat National University, focusing on electrochemical engineering, fuel cells, and hydrogen production. His prolific research career includes over 60 journal publications, 4 patents, and numerous completed and ongoing research projects. Professor LEE collaborates with LowCarbon Co. on carbon dioxide recycling and is an active member of several prestigious professional societies. His contributions to the field, particularly in CO2 recycling and NaOH production through electrolysis, highlight his commitment to sustainable energy solutions and innovation in electrochemistry. πŸ’§πŸ”‹πŸŒ

Publication Profile

Scopus

Academic Background πŸŽ“

Professor Choong-Gon LEE received his Ph.D. in Applied Chemistry from Tohoku University, Japan, in 1997. Prior to this, he earned his M.S. in Chemical Engineering in 1988 and his B.S. in Chemical Engineering in 1986, both from Yonsei University, Korea.

Professional Experience πŸ‘¨β€πŸ«

Since 2004, Professor LEE has been a distinguished faculty member at Hanbat National University. In his role, he has been dedicated to teaching electrochemical engineering and conducting groundbreaking research in the field of electrochemistry. His primary focus areas include fuel cells and hydrogen production, where he has made significant contributions to the advancement of sustainable energy solutions.

 

Research Focus

Professor Choong-Gon LEE specializes in the field of electrochemical engineering, with a strong focus on sustainable energy solutions. His research encompasses the production of hydrogen (H2) and sodium hydroxide (NaOH) from alkaline solutions containing carbon dioxide (CO2) using cation exchange membranes. He also investigates the effects of temperature on electrode reactions in molten carbonate and solid oxide fuel cells, aiming to enhance their efficiency and performance. Professor LEE’s work is notable for its practical applications, such as developing methods for electrochemical hydrogen production utilizing captured CO2. His collaborative efforts with researchers and industry partners highlight his commitment to advancing electrochemical science and environmental sustainability. Through his numerous publications in high-impact journals, Professor LEE contributes significantly to the understanding and innovation in the fields of fuel cells, electrolysis, and carbon recycling. His research not only advances scientific knowledge but also addresses critical challenges in sustainable energy production. πŸŒ±πŸ”‹πŸŒ

Publication Top Notes

“Electrolytic production of NaOH and H2 from alkaline solution containing CO2 using cation exchange membranes” (2024) – 0 citations 🌱

“Effect of temperature on the electrode overpotential of molten carbonate electrolysis and fuel cells with inert-gas step addition method” (2023) – 0 citations 🌑️

“Effect of temperature on the electrode reactions in a planar solid oxide fuel cell” (2023) – 0 citations πŸ”‹

“Reaction characteristics of molten carbonate cell operated in fuel cell and electrolysis modes with reactant gas addition method” (2023) – 0 citations ⚑

“Electrochemical hydrogen production using captured CO2 in alkaline solution” (2023) – 3 citations πŸ’§

“Comparison of gas phase transport effects between fuel cell and electrolysis cell modes of a 100 cm2 class molten carbonate cell” (2022) – 2 citations πŸ”„

“Electrode reaction properties using a reactant gas addition method in a commercial 100 cm2 class solid oxide fuel cell” (2022) – 4 citations πŸ”

“Experimental analysis of internal leakage current using a 100 cm2 class planar solid oxide fuel cell” (2021) – 4 citations πŸ“ˆ

“Lifetime expectancy of molten carbonate fuel cells: Part II. Cell life simulation using bench and coin-type cells” (2021) – 3 citations ⏳

“Lifetime Expectancy of molten carbonate fuel cells: Part I. Effect of temperature on the voltage and electrolyte reduction rates” (2021) – 4 citations πŸ”₯

Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Prof Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Prof Zdzislaw Kowalczuk , Gdansk University of Technology , Poland

ZdzisΕ‚aw Kowalczuk, Senior Member of IEEE, has been a Full Professor in automatic control and robotics at GdaΕ„sk University of Technology since 1978. He has held visiting positions at University of Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University. His research interests include robotics, control theory, AI, and system diagnostics. Kowalczuk has authored 30 books, over 120 journal papers, and 350+ conference publications, with over 3,300 Google Scholar citations and an H-index of 21. He is President of the Polish Consultants Society and founder of PWNT publishing house, receiving numerous awards, including the SEP Medal in 2014. πŸŽ“πŸ“šπŸ…

 

Publication profileΒ 

Google scholar

Academic Background πŸŽ“

ZdzisΕ‚aw Kowalczuk (Senior Member, IEEE) has been with the Faculty of Electronics, Telecomm., and Informatics at GdaΕ„sk University of Technology since 1978. He is a Full Professor in automatic control and robotics and the Chair of the Dept. of Robotics and Decision Systems. He has held visiting appointments at universities including Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University.

Scientific ContributionsΒ 

His main scientific interests include robotics, control theory, system modeling, diagnostics, artificial intelligence, and control engineering. Kowalczuk has authored/co-authored about 30 books, over 120 journal papers, and over 350 conference publications. His Google Scholar citation index exceeds 3,300, with an H-index of 21.

Research Focus

ZdzisΕ‚aw Kowalczuk’s research focuses on several key areas within engineering and computer science. His primary interests include fault diagnosis and detection, particularly for automotive engines, and the development of intelligent systems for autonomous decision-making. He also explores system modeling and control theory, including the application of artificial intelligence and neural networks. Kowalczuk’s work extends to robotics, adaptive systems, and signal processing, with a notable focus on practical applications like leak detection in pipelines and thermal management in buildings. His contributions span theoretical foundations to real-world implementations, demonstrating a versatile and impactful research portfolio. πŸš—πŸ€–πŸ“ŠπŸ”§

 

Publication Top Notes

Fault diagnicial intelligence, applicationsΒ – J Korbicz, JM Koscielny, Z Kowalczuk, W Cholewa, Springer Science & Business Media, 2012, cited by 1064 πŸ“šosis: models, artif

Diagnostyka procesΓ³w: modele: metody sztucznej inteligencji: zastosowania – J Korbicz, JM KoΕ›cielny, Z Kowalczuk, W Cholewa, Wydawnictwa Naukowo-Techniczne, 2002, cited by 345 πŸ“˜

Model based diagnosis for automotive engines-algorithm development and testing on a production vehicle – J Gerler, M Costin, X Fang, Z Kowalczuk, M Kunwer, R Monajemy, IEEE Transactions on Control Systems Technology, 1995, cited by 148 πŸš—

Thermal Barrier as a technique of indirect heating and cooling for residential buildings – M Krzaczek, Z Kowalczuk, Energy and Buildings, 2011, cited by 107 🏠

Model-based on-board fault detection and diagnosis for automotive engines – JJ Gertler, M Costin, X Fang, R Hira, Z Kowalczuk, Q Luo, Control Engineering Practice, 1993, cited by 100 πŸš—

Autonomous driver based on an intelligent system of decision-making – M Czubenko, Z Kowalczuk, A Ordys, Cognitive computation, 2015, cited by 98 🚘

Discrete approximation of continuous-time systems: a survey – Z Kowalczuk, IEE Proceedings G (Circuits, Devices and Systems), 1993, cited by 84 πŸ“ˆ

Computational approaches to modeling artificial emotion–an overview of the proposed solutions – Z Kowalczuk, M Czubenko, Frontiers in Robotics and AI, 2016, cited by 75 πŸ€–

Continuous-time approaches to identification of continuous-time systems – Z Kowalczuk, J KozΕ‚owski, Automatica, 2000, cited by 49 ⏱️

Intelligent decision-making system for autonomous robots – Z Kowalczuk, M Czubenko, Uniwersytet ZielonogΓ³rski, 2011, cited by 38 πŸ€–

Detecting and locating leaks in transmission pipelines – Z Kowalczuk, K Gunawickrama, Fault Diagnosis: Models, Artificial Intelligence, Applications, 2004, cited by 36 πŸ› οΈπŸ“ˆ

Sarah Giacomantonio | Social Sciences Award | Best Researcher Award

Ms Sarah Giacomantonio | Social Sciences Award | Best Researcher AwardΒ 

Ms Sarah Giacomantonio ,Β WSP Canada ,Β Canada

🚲 Transportation Planner at WSP Ontario, specializing in Active Transportation and Complete Streets. With expertise in policy, education, programming, and design, Sarah has led key projects like the City of Markham Parking Strategy and Nova Scotia’s Active Transportation Strategy. Her research on gendered cycling behavior earned recognition at major conferences and in academic journals. Passionate about community engagement and collaborative analysis, she also co-founded the Queer Bike Club Toronto. Sarah is advancing her skills toward RPP accreditation and is a 2024 Women in Transportation mentee. πŸŒŸπŸ“ŠπŸ“š

Publication profileΒ 

Google scholar

EducationΒ 

Sarah Giacomantonio’s educational journey reflects her commitment to understanding and addressing environmental and urban challenges. Graduating with a Bachelor of Science in Environmental Biology and Anthropology from the University of Guelph in 2016, she laid the foundation for her interdisciplinary approach to problem-solving. This was further enriched by a Master of Environmental Science in Environmental Science from the same institution in 2018. Building upon this knowledge, she pursued a Master’s in Planning and Urban Development at Toronto Metropolitan University, graduating in 2022. Her academic background, combined with her practical experience, equips her with the tools to tackle complex issues in transportation planning and sustainable development. πŸŽ“πŸŒ±πŸŒ†

 

Experience

Sarah Giacomantonio’s diverse roles showcase her expertise in transportation planning and policy. As a technical contributor, she’s instrumental in crafting citywide strategies like the parking frameworks for Markham and Newmarket, ensuring they align with best practices and local needs. Her impactful research as a Mobility Researcher sheds light on gendered cycling behavior, presenting findings at prestigious conferences and aiming for publication. Currently, her collaborative efforts extend to developing Nova Scotia’s Active Transportation Strategy, merging insights from best practices and stakeholder input to enhance sustainable mobility. Through her work, Sarah drives positive change in urban landscapes, promoting accessible and equitable transportation options. πŸš—πŸ πŸš΄β€β™€οΈπŸŒ

 

Research Focus

Sarah Giacomantonio, along with her co-authors R. Mitra and L. Ravensbergen, conducts research at the intersection of transportation planning and gender equity. Their study, “Bicycle facilities and women’s cycling frequency – An intersectional analysis of gendered travel behaviour,” published in Transportation Research Part A: Policy and Practice by Elsevier in 2024, focuses on understanding how bicycle facilities impact the frequency of women’s cycling. By employing an intersectional analysis, they delve into gendered travel behaviors, shedding light on factors influencing women’s participation in cycling. This research contributes valuable insights crucial for fostering inclusivity and accessibility in transportation systems. πŸš²πŸ”πŸ“

Publication Top Notes

 

Bicycle facilities and women’s cycling frequency–An intersectional analysis of gendered travel behaviour

Sihao Han | Mechanical Engineering Award | Best Researcher Award

Dr Sihao Han | Mechanical Engineering Award | Best Researcher Award

Dr Sihao Han , South China University of Technology , China

Publication profileΒ 

Google Scholar

Education and Experience

Sihao Han is currently pursuing his PhD in Mechanics at South China University of Technology, building upon his Bachelor’s degree in Mechanical Engineering from Southwest Jiaotong University. His academic journey is marked by a commitment to excellence and a passion for pushing the boundaries of knowledge in his field.

Academic AchievementsΒ 

Sihao’s research is centered on solid mechanics, with a keen focus on understanding the wave characteristics and impact behavior of acoustic/mechanical metamaterials. Additionally, he is dedicated to advancing the development of multifunctional metamaterials. His goal is to leverage the power of artificial intelligence to revolutionize the application of metamaterials in demanding engineering contexts.

 

Research Focus

Sihao Han’s research centers on the innovative field of metamaterials, with a particular emphasis on their applications in energy absorption, vibration insulation, and wave propagation. His work involves the design and optimization of re-entrant honeycomb metamaterials and phononic crystals, leveraging advanced techniques like deep learning and reinforcement learning. Sihao’s studies aim to enhance the performance of these materials in demanding engineering applications, contributing to areas such as impact mitigation and load-bearing capacity. Through his interdisciplinary approach, Sihao bridges mechanical engineering with artificial intelligence to push the boundaries of materials science. πŸš€πŸ› οΈ

Publication Top Notes
  1. πŸ“š “Hierarchical re-entrant honeycomb metamaterial for energy absorption and vibration insulation” – N Ma, Q Han, S Han, C Li, International Journal of Mechanical Sciences 250, 108307, 2023 (47 citations)
  2. πŸ“š “Design and reinforcement-learning optimization of re-entrant cellular metamaterials” – S Han, Q Han, N Ma, C Li, Thin-Walled Structures 191, 111071, 2023 (10 citations)
  3. 🧠 “Deep-learning-based inverse design of phononic crystals for anticipated wave attenuation” – S Han, Q Han, C Li, Journal of Applied Physics 132 (15), 2022 (9 citations)
  4. 🧠 “Inverse design of phononic crystals for anticipated wave propagation by integrating deep learning and semi-analytical approach” – S Han, Q Han, T Jiang, C Li, Acta Mechanica 234 (10), 4879-4897, 2023 (8 citations)
  5. πŸ”„ “Complex dispersion relations and evanescent waves in periodic magneto-electro curved phononic crystal plates” – S Han, Q Han, T Jiang, C Li, Applied Mathematical Modelling 119, 373-390, 2023 (3 citations)
  6. πŸ“ “Design and optimization of the dual-functional lattice-origami metamaterials” – T Jiang, S Han, Q Han, C Li, Composite Structures 327, 117670, 2024 (2 citations)
  7. ⚑ “Parametric electro-mechanical dispersive behaviors of guided waves in the functionally graded piezoelectric annular plate” – C Li, D Xiao, S Han, Q Han, ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift fΓΌr Angewandte, 2023 (1 citation)
  8. πŸ› οΈ “Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity” – S Han, N Ma, Q Han, C Li, Mechanical Systems and Signal Processing 215, 111436, 2024
  9. πŸ“ “Compressive response and optimization design of a novel hierarchical re-entrant origami honeycomb metastructure” – N Ma, S Han, W Xu, Q Han, C Li, Engineering Structures 306, 117819, 2024
  10. πŸ“ “Design and compressive behaviors of the gradient re-entrant origami honeycomb metamaterials” – N Ma, S Han, Q Han, C Li, Thin-Walled Structures 198, 111652, 2024
  11. πŸ”§ “A novel multi-resonator honeycomb metamaterial with enhanced impact mitigation” – H Zheng, S Han, S Li, Q Han, C Li, European Journal of Mechanics-A/Solids, 105272, 2024

Naziya Aslam | Network Security Award | Best Researcher Award

Mrs Naziya Aslam | Network Security Award | Best Researcher Award

Mrs Naziya Aslam , MNNIT Allahabad , India

Naziya Aslam is a dedicated and accomplished researcher currently pursuing a Ph.D. in Computer Science and Engineering at Motilal Nehru National Institute of Technology, Allahabad, India, focusing on the intelligent detection and mitigation of DDoS attacks in SDN. With a solid educational foundation, including a Master’s degree in Technology from the Central University of Rajasthan and a Bachelor’s degree in Technology from Chhatrapati Shahu Ji Maharaj University, she has consistently excelled academically. Naziya has contributed to several high-impact publications and received prestigious awards, such as the Maulana Azad National Fellowship. Fluent in English, Hindi, and Urdu, she is skilled in various programming languages and development tools. She enjoys reading novels, traveling, and playing badminton. Married to Mohammad Shahnawaz, Naziya exemplifies hard work, self-confidence, and optimism. 🌟

Publication Profile

Google Scholar

Education

πŸ§‘β€πŸŽ“ Naziya Aslam is currently pursuing a Ph.D. in Computer Science and Engineering at Motilal Nehru National Institute of Technology, Allahabad, focusing on intelligent detection and mitigation of DDoS attacks in SDN, boasting a CGPA of 8.25. She earned her Master’s degree in Technology with a specialization in Information Security from the Central University of Rajasthan, achieving a CGPA of 7.58. She completed her Bachelor’s degree in Technology, specializing in Information Technology, from Chhtrapati Sahu Ji Maharaj University, with a CPI of 9.42. Her academic journey began at Shree Sanatan Dharm Education Center in Kanpur and Modern International School in Saudi Arabia, with stellar performances. πŸ“šβœ¨

Teaching Experience

πŸ’Ό From July 2019 to July 2022, Naziya Aslam served as Project Staff (JRF) in the Computer Science and Engineering Department at Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, India. During this time, she worked on a significant project titled “Intelligent Detection and Mitigation of DDoS Attack in SDN.” Her role involved developing innovative solutions to enhance network security, leveraging her expertise in software-defined networking. This experience not only honed her technical skills but also solidified her passion for research and development in cybersecurity. 🌐

Achievements

πŸ† Naziya Aslam has achieved significant academic milestones throughout her career. In 2024, she qualified for GATE, adding to her impressive track record of success. She was awarded the prestigious Maulana Azad National Fellowship (MANF) in 2022. She qualified for UGC-NET for JRF and Assistant Professor in both December 2020 and June 2021. Additionally, she qualified for GATE in 2019 and 2017, and UGC-NET for Assistant Professor in June 2019 and July 2018. From June 2017 to June 2019, she was a recipient of the MHRD, Govt of India scholarship, further showcasing her dedication and excellence in her field. πŸŽ“βœ¨

Certifications

πŸ“œ Naziya Aslam has completed several certifications, enhancing her expertise in various areas. In October 2023, she attended the SACSA2023 Online Faculty Development Program on security aspects in computer science, organized by MNNIT Allahabad. She participated in the Math of Machine Learning Spring School workshop by IIT Kharagpur in March 2023. In February 2021, she joined the Information Security Awareness seminar by MNNIT Allahabad. She completed faculty development programs on Artificial Intelligence using Python and IT Infrastructure and Cyber Security in 2020, and a workshop on women’s rights in February 2019. Additionally, she underwent industrial training in network management and web development in 2015. πŸŒπŸ“š

 

Research Focus

πŸ” Naziya Aslam’s research primarily focuses on cybersecurity within software-defined networking (SDN), with a strong emphasis on mitigating Distributed Denial of Service (DDoS) attacks. Her work includes developing intelligent applications and methodologies for detecting and preventing such attacks. Notable publications include “ONOS Flood Defender,” “A Comprehensive Analysis of Machine Learning- and Deep Learning-Based Solutions for DDoS Attack Detection in SDN,” “ONOS DDoS Defender,” and “DDoS SourceTracer.” These studies utilize machine learning, deep learning, and ensemble approaches to enhance network security and resilience, demonstrating her dedication to advancing cybersecurity in SDN environments. πŸ›‘οΈπŸ’»πŸ“˜

 

Mohammad Nadeem | Microwave photonics Award | Best Researcher Award

Dr. Mohammad Nadeem | Microwave photonics Award | Best Researcher Award

Dr. Mohammad Nadeem ,IIT(ISM) DHANBAD,India

Dr. Mohammad Nadeem, a dedicated researcher in Electronics and Communication Engineering, specializes in Microwave Photonics and Optical Sensor technologies. With a Doctorate from Indian Institute of Technology, his work focuses on innovative applications like Photonics Assisted Antennas and Fiber Bragg Gratings. He has contributed significantly to projects sponsored by prestigious organizations like DST, DRDO, and ISRO. Nadeem’s passion for academic excellence is evident through his teaching stints at renowned institutions. Committed to excellence, he aims to revolutionize healthcare with his hybrid physiological sensor and web server-based innovations. πŸŽ“

Publication profile

Google Scholar

Education

Dr. Mohammad Nadeem completed his Ph.D. in Electronics and Communication Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad (2017–2024) πŸŽ“. His thesis, supervised by Prof. Sanjeev Kumar Raghuwanshi, focused on “Microwave Photonics Assisted Efficient Beam Forming System for Phased Array Antenna.” During his Ph.D., he worked on various projects, including a web server-based hybrid physiological sensor for real-time health care 🩺, a frequency-stable optoelectronic oscillator πŸŒ€, a highly steerable beamforming system for satellite communication πŸ›°οΈ, and high chirp rate microwave waveforms for radar applications πŸ“‘. He also holds an M.Tech from Rajasthan Technical University and a B.Tech from U.P.T.U., Lucknow.

Teaching Experience

Dr. Mohammad Nadeem is currently a Senior Research Fellow in Electronics and Communication Engineering at IIT (Indian School of Mines), Dhanbad, since October 2022 πŸ“š. Previously, he was a Faculty on Contract at the School of ICT, Gautam Buddha University (Aug 2021 – June 2022) πŸŽ“. He also served as an Assistant Professor at Jamia Millia Islamia (Aug 2019 – May 2020) and a Guest Teacher there (Aug 2018 – May 2019) πŸ‘¨β€πŸ«. From March 2016 to December 2017, he was an Assistant Professor at JRE Group of Institutions. He held the same role at GNIOT Group of Institutions (Feb 2013 – Feb 2016) and was a Lecturer at Priyadarshani College of Computer Science (Feb 2009 – Feb 2011) πŸŽ“.

Awards And Honors

Dr. Mohammad Nadeem has been recognized for his outstanding contributions in his field. He won the Best Paper Award at the International Conference on VLSI and Microwave and Wireless Technology-2021 (ICVMWT2021) for his paper on the “Delay and Dispersion Investigation of Optical Components for Microwave Photonic Filter” πŸ†. He was also awarded the prestigious DRDO-SRF fellowship πŸŽ“. Dr. Nadeem was invited as a guest faculty by the Director of Greater Noida Institute of Technology to teach “ARTIFICIAL NEURAL NETWORK and FUZZY LOGIC” and “EMMI” in November 2016 πŸ‘¨β€πŸ«. Additionally, he completed NPTEL online certification courses in “Microwave Theory and Technique” and “Antennas” funded by MHRD, Govt. of India πŸ“œ.

 

Research Focus

Dr. Mohammad Nadeem focuses his research on advanced microwave photonics and its applications in communication systems and sensing technologies πŸ“‘. His work encompasses the design and analysis of photonic beamforming systems, optoelectronic oscillators, and fiber Bragg grating sensors for various applications, including phased array antennas, radar, and non-invasive glucose sensing πŸ“‘πŸ”¬. His research contributions also include advancements in microwave waveform generation and optical components for microwave photonic filters πŸ“ˆ. Dr. Nadeem’s innovative approaches, often integrating photonics with traditional microwave technologies, aim to enhance the performance and efficiency of communication and sensing systems πŸ›°οΈπŸ“Ά.

 

Publication Top Notes

  1. Recent advancement of phase shifted fiber Bragg grating sensor for ultrasonic wave application: A review πŸ“ˆ MD Nadeem, SK Raghuwanshi, S Kumar IEEE Sensors Journal 22 (8), 7463-7474 – Cited by 38 (2022)
  2. Cylindrical dielectric resonator antenna sensor for non-invasive glucose sensing application 🩺 MN Hasan, S Tamanna, P Singh, MD Nadeem, M Rudramuni 2019 6th International Conference on Signal Processing and Integrated … – Cited by 38 (2019)
  3. Delay and dispersion investigation of optical components for microwave photonic filter πŸ“‘ R Kumar, Y Singh, SK Raghuwanshi, S Chandra, D Nadeem VLSI, Microwave and Wireless Technologies: Select Proceedings of ICVMWT 2021 … – Cited by 9 (2022)
  4. Chirped fiber grating and specialty fiber based multiwavelength optical beamforming network for 1X8 phased array antenna in S-band πŸ“Ά R Kumar, SK Raghuwanshi, D Nadeem Optik 243, 167044 – Cited by 8 (2021)
  5. Omnidirectional UWB antenna loaded with rectangular loop for band notch characteristics πŸ“‘ MN Hasan, P Singh, MD Nadeem 2019 6th International Conference on Signal Processing and Integrated … – Cited by 6 (2019)
  6. Efficient photonics beam forming system incorporating super structure fiber Bragg grating for application in Ku band πŸ“‘ MD Nadeem, SK Raghuwanshi, R Kumar Optical Fiber Technology 80, 103436 – Cited by 3 (2023)
  7. Photonic assisted arbitrary microwave signal generation based on opto-electronic oscillator πŸ“‘ MD Nadeem, SK Raghuwanshi, R Raj, R Kumar, F Liu, S Kumar Optoelectronic Devices and Integration XII 12764, 69-76 – Cited by 2 (2023)
  8. A photonic approach to generate arbitrary chirp microwave waveforms using a direct modulated laser source πŸ“‘ MD Nadeem, C Kumar, SK Raghuwanshi, R Raj, R Kumar, S Kumar Optoelectronic Devices and Integration XII 12764, 53-59 – Cited by 2 (2023)
  9. Design and analysis of photonic beam forming system using ring resonator for 1Γ— 4 phase array antenna in Ka-Band πŸ“‘ MD Nadeem, SK Raghuwanshi, R Kumar, S Kumar Next-Generation Optical Communication: Components, Sub-Systems, and Systems … – Cited by 2 (2023)
  10. Performance evaluation of linearly chirp fiber bragg grating for time delay analysis in beam steering for enhance communication πŸ“‘ MD Nadeem, SK Raghuwanshi, PS Pandey 2023 International Conference on Artificial Intelligence and Smart … – Cited by 2 (2023)