Serhat Kilicarslan | Neural Networks Award | Best Researcher Award

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Assoc Prof Dr. Serhat Kilicarslan | Neural Networks Award | Best Researcher Award

Software Engineer at Bandırma Onyedi Eylül University Faculty of Engineering and Natural Sciences, Turkey

Assoc. Prof. Dr. Serhat Kılıçarslan is a highly skilled and accomplished professional in the field of computer science and engineering. With a strong background in research, teaching, and practical applications, Dr. Kılıçarslan has made significant contributions to the field. His research expertise includes computer networks, Wireless Sensor Networks (WSNs), Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML). He is proficient in programming languages such as C, C++, Java, Python, and MATLAB, and has a deep understanding of networking concepts, protocols, and technologies. Dr. Kılıçarslan has published extensively in reputable journals and conferences, showcasing his analytical and problem-solving abilities. Overall, Dr. Kılıçarslan’s expertise and skills have positioned him as a valuable asset in advancing the field of computer science and engineering.

Professional Profiles:

Education:

Assoc. Prof. Dr. Serhat KILIÇARSLAN has a strong academic background in computer engineering, mechatronics engineering, and technical education. He completed his Bachelor’s degree in Computer Engineering at Kocaeli University in June 2017. Following this, he pursued a Master’s degree in Mechatronics Engineering at Gazi Osmanpaşa University, graduating in September 2014. For his Master’s thesis, he developed programming software for microcontroller-based PLCs under the guidance of Assoc. Prof. Dr. Gökhan GELEN. Dr. KILIÇARSLAN continued his academic journey by completing his Ph.D. in Computer Engineering at Erciyes University in September 2021. His doctoral thesis focused on the development of non-linear activation functions for deep learning methods, under the supervision of Assoc. Prof. Dr. Mete ÇELİK.

Experience:

Assoc. Prof. Dr. Serhat KILIÇARSLAN currently serves as a faculty member at Bandırma Onyedi Eylül University, Faculty of Engineering and Natural Sciences, Department of Software Engineering. He joined the university in 2022, where he contributes to the field of software engineering through research, teaching, and academic leadership. Before joining Bandırma Onyedi Eylül University, Dr. KILIÇARSLAN served as a lecturer at Gaziosmanpaşa University. He was involved in the Department of Informatics, where he also held the position of Department Chair. Additionally, he served as a lecturer at Gaziosmanpaşa University, Pazar Vocational School, Department of Computer Technologies, specializing in Computer Programming. Dr. KILIÇARSLAN’s experience in these roles has equipped him with valuable insights and expertise in the field of software engineering and computer programming.

Research Interest:

Assoc. Prof. Dr. Serhat Kılıçarslan has a diverse research background focusing on various aspects of computer science and engineering. His research interests span several key areas, including Wireless Sensor Networks (WSNs), Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Software-Defined Networking (SDN), Cloud Computing, Cyber-Physical Systems (CPS), Security, Privacy, and Big Data Analytics. In the realm of WSNs, Dr. Kılıçarslan explores the design, implementation, and optimization of WSNs for applications such as environmental monitoring, healthcare, and industrial automation. In the field of IoT, he delves into the architectures, protocols, and security mechanisms of IoT systems, aiming to enhance their efficiency, reliability, and security.

Skills:

Assoc. Prof. Dr. Serhat Kılıçarslan possesses a diverse set of skills in the field of computer science and engineering, honed through his research, teaching, and professional experiences. Some of his key skills include research skills, where he has a strong track record of publication in reputable journals and conferences. He is adept at formulating research questions, designing experiments, analyzing data, and drawing meaningful conclusions. Dr. Kılıçarslan is also proficient in programming languages such as C, C++, Java, Python, and MATLAB, which he applies in developing software solutions for various research projects. With a focus on computer networks, Dr. Kılıçarslan has expertise in networking concepts, protocols, and technologies, including TCP/IP, routing, switching, and network security. He is experienced in designing, implementing, and optimizing Wireless Sensor Networks (WSNs) and IoT systems for diverse applications, leveraging his knowledge of sensor technologies, communication protocols, and data processing techniques. Dr. Kılıçarslan applies Artificial Intelligence (AI) and Machine Learning (ML) techniques, such as neural networks, deep learning, and reinforcement learning, to solve complex problems in computer networks and related areas. He also has expertise in Software-Defined Networking (SDN), cloud computing, Cyber-Physical Systems (CPS), security, privacy, and Big Data Analytics. Overall, Dr. Kılıçarslan’s skills are integral to his contributions in advancing the field of computer science and engineering, with a focus on enhancing the efficiency, reliability, and security of modern computing systems and networks.

Publications:
  1. Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
    • Authors: K Adem, S Kılıçarslan, O Cömert
    • Year: 2019
    • Citations: 162
  2. Diagnosis and Classification of Cancer Using Hybrid Model Based on ReliefF and Convolutional Neural Network
    • Authors: S Kiliçarslan, K Adem, M Celik
    • Year: 2020
    • Citations: 82
  3. Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification
    • Authors: S Kiliçarslan, M Celik, S Sahin
    • Year: 2021
    • Citations: 67
  4. RSigELU: A nonlinear activation function for deep neural networks
    • Authors: S Kiliçarslan, M Celik
    • Year: 2021
    • Citations: 63
  5. DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS
    • Authors: MK Yöntem, K Adem, T İlhan, S Kılıçarslan
    • Year: 2019
    • Citations: 57
  6. An overview of the activation functions used in deep learning algorithms
    • Authors: S KILIÇARSLAN, A Kemal, M Çelik
    • Year: 2021
    • Citations: 24
  7. Detection and Classification of Pneumonia Using Novel Superior Exponential (SupEx) Activation Function in Convolutional Neural Networks
    • Authors: S Kiliçarslan, Cİ Közkurt, S Baş, A Elen
    • Year: 2023
    • Citations: 21
  8. Performance analysis of optimization algorithms on stacked autoencoder
    • Authors: A Kemal, S Kilicarslan
    • Year: 2019
    • Citations: 19
  9. COVID-19 Diagnosis Prediction in Emergency Care Patients using Convolutional Neural Network
    • Authors: A Kemal, S KILIÇARSLAN
    • Year: 2021
    • Citations: 18
  10. Deep learning-based approaches for robust classification of cervical cancer
    • Authors: I Pacal, S Kılıcarslan
    • Year: 2023
    • Citations: 13

V. Karuppasamy Vikraman | Green Energy Award | Best Researcher Award

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Dr. V. Karuppasamy Vikraman | Green Energy Award | Best Researcher Award

Assistant Professor at Amrita Vishwa Vidyapeetham, India

V. Karuppasamy Vikraman is an accomplished professional with a strong background in renewable energy engineering. He holds a Ph.D. in Renewable Energy Engineering, an M.Tech in Bioenergy, and a B.Tech in Agricultural Engineering, all from Tamil Nadu Agricultural University, Coimbatore. Currently serving as an Assistant Professor at Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, he previously worked as a Senior Research Fellow at the Department of Renewable Energy Engineering, Tamil Nadu Agricultural University. His expertise includes project management, collaboration, catalyst synthesis, energy gadget design, nanomaterial production, and design of experiments. He has been recognized for his work with awards such as the Senior Research Fellowship under the scheme Consortia Research Platform on Energy from Agriculture by the Indian Council of Agricultural Research and Second Prize at the Innovate Competition – Greenics’ 12 held at Anna University, Guindy. Vikraman has also conducted training programs on biogas technology and energy conservation, funded by various organizations, for farmers and students in Tamil Nadu. His dedication to sustainable practices and education in renewable energy make him a valuable asset in his field.

Professional Profiles:

Experience:

V. Karuppasamy Vikraman has been serving as an Assistant Professor at Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, since July 2022. Prior to this, from March 2022 to July 2022, he worked as a Senior Research Fellow at the Department of Renewable Energy Engineering, Tamil Nadu Agricultural University, Coimbatore.

Academic Background:

V. Karuppasamy Vikraman completed his Ph.D. in Renewable Energy Engineering from the Department of Renewable Energy Engineering at Tamil Nadu Agricultural University, Coimbatore, from August 2018 to February 2022, achieving an OGPA of 8.79 out of 10. Prior to his Ph.D., he completed his M.Tech in Bioenergy from the Department of Bioenergy at Tamil Nadu Agricultural University, Coimbatore, from August 2016 to June 2018, with an OGPA of 8.73 out of 10. He began his academic journey with a B.Tech in Agricultural Engineering from the Agricultural Engineering College and Research Institute at Tamil Nadu Agricultural University, Kumulur, from August 2012 to June 2016, achieving an OGPA of 8.08 out of 10.

Research Interest:

V. Karuppasamy Vikraman’s research interests and expertise span several key areas within renewable energy engineering. He has a particular focus on biomass gasification and biomass pyrolysis, which are crucial processes in converting biomass into useful energy sources such as biofuels. Additionally, his work involves catalysis in renewable energy, which explores the use of catalysts to enhance the efficiency and effectiveness of renewable energy conversion processes. He also delves into energy storage solutions, a critical component of sustainable energy systems to balance supply and demand. Furthermore, he is involved in research on biocarbon synthesis, which involves the production of carbonaceous materials from biomass for various applications, including energy storage and carbon sequestration.

Skills:

V. Karuppasamy Vikraman has extensive experience in project management, particularly in the areas of collaboration, catalyst synthesis, energy gadget design, nanomaterial production, and design of experiments. His expertise in these areas allows him to effectively plan, execute, and oversee projects related to renewable energy engineering. In project management, he excels in coordinating efforts among team members, ensuring timely completion of tasks, and maintaining effective communication channels. His proficiency in catalyst synthesis and nanomaterial production enables him to develop innovative materials for energy applications. Additionally, his skills in energy gadget design and design of experiments contribute to the development of efficient and sustainable energy solutions.

Research Projects:

V. Karuppasamy Vikraman’s academic journey reflects a progressive focus on renewable energy and biofuel technologies. During his undergraduate studies, he conducted research on the extraction of biodiesel from algae, laying the foundation for his future work in sustainable energy. In his postgraduate studies, he focused on the development of a gas conditioning system for tar and particulate removal in producer gas, demonstrating his commitment to enhancing the efficiency and cleanliness of biomass conversion processes. For his doctoral research, he delved deeper into the field by working on the development and optimization of a biomass-to-liquid fuel production process through biomass gasification integrated with Fischer-Tropsch synthesis. This research represents a significant contribution to the advancement of renewable energy technologies, showcasing his expertise in biomass conversion and fuel synthesis.

Award:

V. Karuppasamy Vikraman was awarded a Senior Research Fellowship under the scheme Consortia Research Platform on Energy from Agriculture by the Indian Council of Agricultural Research for the period 2020-2022. This fellowship reflects his significant contributions and expertise in the field of renewable energy engineering, particularly in the context of agriculture. Additionally, he achieved the Second Prize at the Innovate Competition – Greenics’ 12 held at Anna University, Guindy, in 2012. This achievement highlights his innovative thinking and ability to develop sustainable solutions, further showcasing his commitment to excellence in research and development.

Training:

V. Karuppasamy Vikraman has conducted training programs on biogas technology, funded by the Government of India’s Ministry of New and Renewable Energy (MNRE) through the Biogas Development and Training Centre. These programs were aimed at educating farmers and unemployed youths from rural areas of Tamil Nadu about the benefits and implementation of biogas technology. Additionally, he has conducted training programs on energy conservation, funded by the Petroleum Conservation Research Association, for farmers and students from various parts of Tamil Nadu. These initiatives demonstrate his commitment to promoting sustainable practices and educating communities about renewable energy and energy conservation.

Publications:

  1. Kinetic and thermodynamic study of finger millet straw pyrolysis through thermogravimetric analysis
    • Authors: VK Vikraman, DP Kumar, G Boopathi, P Subramanian
    • Year: 2021
    • Citations: 39
  2. Non-isothermal pyrolytic kinetics of milk dust powder using thermogravimetric analysis
    • Authors: VK Vikraman, G Boopathi, DP Kumar, R Mythili, P Subramanian
    • Year: 2021
    • Citations: 13
  3. Air flowrate and particle size effect on gasification of arecanut husk with preheated air through waste heat recovery from syngas
    • Authors: VK Vikraman, P Subramanian, DP Kumar, S Sriramajayam, …
    • Year: 2022
    • Citations: 9
  4. Assessing the pyrolysis potential of redgram stalk: thermo-kinetic study, empirical modelling and product characterization
    • Authors: P Subramanian, K Nithiya, K Chandrakumar, VK Vikraman
    • Year: 2022
    • Citations: 7
  5. Experimental study on dual air supply downdraft gasifier for an improved producer gas quality
    • Authors: VK Vikraman, S Pugalendhi, P Subramanian, R Angeeswaran, …
    • Year: 2018
    • Citations: 5
  6. Synthesis of carbon molecular sieves from agricultural residues: Status, challenges and prospects
    • Authors: DP Kumar, D Ramesh, VK Vikraman, P Subramanian
    • Year: 2022
    • Citations: 4
  7. Performance analysis of 3 kWp rooftop grid-connected solar photovoltaic system in an urban house of southern India
    • Authors: VK Vikraman, DP Kumar, R Mahendiran
    • Year: 2020
    • Citations: 1
  8. Synergism of surface Co-rich activated carbon-supported bimetallic Co: Fe catalysts for Fischer-Tropsch synthesis
    • Authors: VK Vikraman, P Subramanian, DP Kumar
    • Year: 2024
  9. Investigation on electrical and electrochemical behaviour of cellulose acetate: Ammonium iodide: Silica composite biopolymer electrolyte for proton exchange membrane (PEM) fuel
    • Authors: S Monisha, J Gajendiran, G Boopathi, S Selvalakshmi, S Gnanam, SG Raj, …
    • Year: 2024

 

Hafizah Omar Zaki | Data Analytics Award | Best Researcher Award

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Dr. Hafizah Omar Zaki | Data Analytics Award | Best Researcher Award

Senior Lecturer at Faculty of Economics and Management, Universiti Kebangsaan Malaysia

Dr. Hafizah Omar Zaki is a Senior Lecturer in Marketing at the Faculty of Economics and Management (FEP), Universiti Kebangsaan Malaysia (UKM). She is currently the Head of Emerging Technology & Big Data (ETBD) cluster at the Centre of Global Business and Digital Economy (GloBDE), FEP-UKM. Dr. Hafizah holds a Ph.D. in Marketing specializing in advertising and branding from the University of Malaya (UM), an MBA specializing in Human Resource Management from UKM, and a Degree in Multimedia Management from Multimedia University (MMU). Her research and publications focus on advertising, branding, digital marketing, and digital business. Dr. Hafizah has received awards such as the Harvard Business School Alumni Club of Malaysia Scholarship in 2012 and an Apple Teacher Award in 2021. She is involved in coordinating research and academic forums with governmental bodies such as MOSTI, EPU, and organizations such as Cradle Fund Sdn. Bhd. Dr. Hafizah also participates in societal programs such as voluntary teaching programs for schools and engaging in car boot sales to fund high schoolers and orphanages.

Professional Profiles:

Academic Background:

Dr. Hafizah Omar Zaki is an accomplished academic with a diverse educational background. She earned her Ph.D. in Marketing and Advertising from the University of Malaya in 2021, showcasing her dedication to understanding consumer behavior and communication strategies. Prior to this, she completed her Master’s degree in Human Resource Management from UKM in 2013, demonstrating her interest in organizational behavior and human capital development. Dr. Hafizah began her academic journey by obtaining a Bachelor’s degree in Management with Multimedia from MMU in 2010, highlighting her early passion for integrating technology with management principles. Driven by a desire for continuous learning and academic excellence, Dr. Hafizah has established herself as a respected figure in her field, contributing valuable insights and research findings to the academic community.

Research Projects:

Dr. Hafizah Omar Zaki is actively engaged in a variety of research projects, demonstrating her commitment to advancing knowledge in business and technology. As the project leader, she is leading a study titled “The Impact of Coloured Social Media Advertising on Gen Alpha’s Intention to Purchase,” focusing on consumer behavior among the younger generation. Additionally, she is collaborating as a co-researcher on several projects, including “Enhancing Taxpayers` Engagement in Malaysia through Blockchain Technology,” which aims to improve government-citizen interactions, and “PembanAwards:gunan Modul Bahasa Arab Pemasaran (m-TaswiQ) Bagi Memperkasakan Kebolehpasaran Produk Usahawan Perusahaan Kecil Sederhana (PKS) di Peringkat Global,” focusing on empowering small and medium-sized enterprises (SMEs) through Arabic marketing modules. Furthermore, Dr. Hafizah is involved in projects such as “Pembangunan dan keberkesanan kit ekonomi kitaran bagi pelajar PVMA,” which focuses on economic cycle kit development for PVMA students, and “An analytical framework of dual network embeddedness and resource acquisition of immigrant entrepreneurship,” aiming to understand immigrant entrepreneurship dynamics. She is also contributing to research on tourism with “Exploring the Impact of Virtual Experience on Tourists` Affective State and Visit Intentions” and studying philanthropy with “Digital Platform for Cash Waqf Collection: Understanding Young Donors’ Participation in Malaysia.”

Awards:

Dr. Hafizah Omar Zaki has received several prestigious awards and certifications in recognition of her outstanding contributions and achievements. At UKM, she was honored with the Anugerah Perkhidmatan Cemerlang in 2022, recognizing her excellent service. She also received the MyRA – Anugerah Kecemerlangan MyRA Prestasi 2022 (Inovasi) in 2023 for her innovative contributions. Beyond UKM, Dr. Hafizah has been recognized internationally, receiving the Emerald Award for Excellence in 2024 for her article in Marketing Intelligence & Planning, which was one of the top-cited articles according to Crossref in 2023. She has also been awarded the Sijil Penghargaan Cemerlang Inovasi in 2023 for her exceptional innovations. Dr. Hafizah is also dedicated to continuous learning and professional development. She has obtained certifications in various digital marketing and technology platforms, including YouTube Music Certification, Waze Ads Fundamentals Certification, and Get Started with Google AdMob in 2022. Additionally, she has completed courses in distance learning for educators, digital behavior, and safety, and became an Apple Teacher in 2021. These certifications underscore her commitment to staying abreast of the latest trends and technologies in her field.

Publications:

  1. Virtual reality in digital marketing: research agenda based on bibliometric reflection
    • Authors: HO Zaki, D Fernandez, O Dastane, A Aman, S Sanusi
    • Year: 2023
    • Journal: Marketing Intelligence & Planning
    • Volume: 41
    • Issue: 4
    • Pages: 505-524
    • Citations: 27
  2. Interlinkages between service quality, customer satisfaction and customer loyalty in Malaysia: A case study of Armed Forces Medical Organizations
    • Authors: A Ismail, HO Zaki, IR Rose
    • Year: 2016
    • Journal: Geografia
    • Volume: 12
    • Issue: 7
    • Citations: 22
  3. The Influence of Time Availability, Happiness, and Weariness on Consumers’ Impulse Buying Tendency amidst Covid-19 Partial Lockdown in Malaysia
    • Authors: HO Zaki, SN Ab Hamid
    • Year: 2021
    • Journal: Jurnal Pengurusan
    • Citations: 17
  4. The role of organisational commitment, leadership style, strategic human resources practices and job satisfaction towards sustainable tourism industry: comparative study in the …
    • Authors: ZA Zarim, O Mohamad, MS Rahman, HO Zaki, RP Sergio, DJ Haladay
    • Year: 2017
    • Citations: 17
  5. Cognition and Emotion: Exploration on Consumers Response to Advertisement and Brand
    • Authors: HO Zaki, Y Kamarulzaman, M Mohtar
    • Year: 2021
    • Journal: Jurnal Pengurusan
    • Citations: 11
  6. Robotic process automation: bibliometric reflection and future opportunities
    • Authors: D Fernandez, O Dastane, H Omar Zaki, A Aman
    • Year: 2024
    • Journal: European Journal of Innovation Management
    • Volume: 27
    • Issue: 2
    • Pages: 692-712
    • Citations: 9
  7. Ethics and integrity in building employee’s perceptions
    • Authors: ZA Zarim, HO Zaki
    • Year: 2016
    • Journal: Management Studies
    • Volume: 4
    • Issue: 3
    • Pages: 131-137
    • Citations: 6
  8. Motivation Factors: Impact on Sales Commission Plan Employees in a Telecommunication Company in Malaysia
    • Authors: ZA Zarim, HO Zaki, NLM Maridz
    • Year: 2016
    • Journal: Management
    • Volume: 4
    • Issue: 4
    • Pages: 139-148
    • Citations: 5
  9. Determining factors related to artificial intelligence (AI) adoption among Malaysia’s small and medium-sized businesses
    • Authors: S Lada, B Chekima, MRA Karim, NF Fabeil, MS Ayub, SM Amirul, R Ansar, …
    • Year: 2023
    • Journal: Journal of Open Innovation: Technology, Market, and Complexity
    • Volume: 9
    • Issue: 4
    • Pages: 100144
    • Citations: 4
  10. DOES NEED FOR COGNITION, NEED FOR AFFECT AND PERCEIVED HUMOUR INFLUENCE CONSUMERS’BRAND ATTITUDE?
    • Authors: HO Zaki, Y Kamarulzaman, M Mohtar
    • Year: 2019
    • Journal: International Journal of Management Studies
    • Volume: 26
    • Issue: 2
    • Pages: 1-20
    • Citations: 4

 

Fatma Hassanein | Dentistry Award | Academic Research Impact Award

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Dr. Fatma Hassanein | Dentistry Award | Academic Research Impact Award

Lecturer at King Salman international University, Egypt

Dr. Fatma Hassanein is a dedicated professional with a strong academic background and a wealth of experience in the field of dentistry. She holds a Ph.D. in Oral Medicine, a Master’s degree in Oral Medicine, Periodontology, and Oral Diagnosis, and a Bachelor’s degree in Dental Surgery, all from Ain Shams University. Dr. Hassanein’s research focuses on innovative treatments for conditions such as radiation-induced mucositis in head and neck cancer patients and interdental papilla augmentation using hyaluronic acid hydrogels. She is skilled in a wide range of dental procedures, including oral surgeries, periodontal surgeries, and facial botoux and filler applications. Dr. Hassanein is also experienced in delivering training sessions and presentations, showcasing her expertise and commitment to advancing dental care.

Professional Profiles:

Academic Background:

Dr. Fatma Hassanein has a rich academic background, including a Ph.D. and Master’s degrees. She obtained her Ph.D. in Oral Medicine from Ain Shams University, Faculty of Dentistry, and her Master’s degree in Oral Medicine, Periodontology, and Oral Diagnosis from the same institution. Her Ph.D. thesis focused on the efficacy of Glutamine in managing radiation-induced mucositis in patients with head and neck cancer, conducted under the supervision of Prof. Dr. Suzan Seif Allah Ibrahim and Dr. Hadeel Gamal. For her Master’s thesis, Dr. Hassanein conducted a randomized clinical trial on the use of hyaluronic acid hydrogels for interdental papilla augmentation, supervised by Prof. Dr. Mohamed Sherif El Mofty, Prof. Dr. Ahmed Abd El Aziz, and Prof. Dr. Mohamed Ramadan Abd El Megid. Additionally, Dr. Hassanein holds a Bachelor’s degree in Dental Surgery from Ain Shams University.

Education:

Dr. Fatma Hassanein’s education includes a Ph.D. in Oral Medicine from Ain Shams University, Faculty of Dentistry, obtained from March 2021 until now. Her Master’s degree in Oral Medicine, Periodontology, and Oral Diagnosis was completed from September 2013 to August 2018 at the same institution. Dr. Hassanein also holds a Bachelor’s degree in Dental Surgery from Ain Shams University, obtained in 2010.

Training:

Dr. Fatma Hassanein has conducted various training sessions and presentations in the field of dentistry, showcasing her expertise and knowledge in different aspects of the profession. Her training includes courses on esthetic anti-aging, academic presentation skills, facial botoux application, facial fillers for beautification, recession treatment techniques, suturing techniques in periodontal surgeries, immediate implant insertion techniques, periodontal flaps techniques, laser application in periodontal procedures, and English language proficiency. Additionally, she has participated in a digital dental photography workshop and received training in the principles and techniques for using rotary instrumentation systems. These experiences have contributed to her skill development and proficiency in the field of dentistry.

Skills:

Dr. Fatma Hassanein has developed a range of clinical skills through her professional experiences. She is proficient in various dental procedures, including oral surgeries, impactions, root canal treatment, operative dentistry, crowns, bridges, dentures, and smile makeovers. Dr. Hassanein is also a skilled specialist in periodontal surgeries, with expertise in procedures such as open flap debridement, crown lengthening, gingival depigmentation, frenectomy, lip positioning, vestibuloplasty, socket augmentation, ridge augmentation, and recession coverage by connective tissue graft. Additionally, she is experienced in facial botoux and filler applications on different facial areas, including cheeks, lips, marionette lines, nasolabial lines, tear trough, nose, chin, and forehead. Her proficiency in these areas demonstrates her dedication to providing comprehensive dental care and achieving optimal patient outcomes.

 

Mikhail Markov | Petrophysics Award | Excellence in Research

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Dr. Mikhail Markov | Petrophysics Award | Excellence in Research

Investigador Científico, Nivel C (jefe del proyecto at Mexican Petroleum Institute, Mexico

Mikhail Markov is a highly accomplished researcher with extensive experience in geophysics, specializing in areas such as the theory of elastic wave propagation in heterogeneous media, petrophysics, and rock physics. He holds a Master’s degree in Physics from the State University of Kalinin, USSR, and a Ph.D. in Geophysics from the Institute of Experimental Meteorology, Obninsk, Moscow, USSR. His research focuses on the development of theoretical models and methodologies for interpreting geophysical well logs, with applications in geophysical exploration. Dr. Markov has over 43 years of experience in the field, including 21 years at the Mexican Petroleum Institute (IMP). He has published over 100 articles in reputable journals and has received numerous awards for his research and technological developments in the field of geophysics. Dr. Markov is also actively involved in teaching and has supervised several doctoral and master’s theses in geophysics. He is a member of the National System of Researchers (SNI) in Mexico and holds the rank of National Researcher Level II.

Professional Profiles:

Academic Background:

Mikhail Markov holds a Master’s degree in Physics from Kalinin State University, USSR, with a thesis titled “Development of the condensation theory on a flat surface,” completed on June 23, 1977. He also earned a Ph.D. in Geophysics from the Institute of Experimental Meteorology, Obninsk, Moscow, USSR, with a thesis titled “Theoretical research on the influence of thermophoresis and photophoresis on the evolution of atmospheric aerosols,” completed on January 8, 1986.

Professional Experience:

Mikhail Markov has extensive professional experience both within and outside the IMP. He has been a Scientific Researcher at the IMP since July 1, 2002, at Level C. Prior to this, he held various research positions, including as a Researcher at the Institute of Automatics in Kalinin, USSR, from July 1977 to September 1979, and as a Senior Researcher at the Institute of Geophysical Research of Wells in Kalinin, USSR, from October 1979 to March 1995. From April 1995 to June 2001, he served as the Head of the Department for the Development of Theory and Methodologies for the Interpretation of Geophysical Well Logs at the Russian-German company SOYUZPROMGEOFÍSICA in Tver, Russia. He also worked as a Consultant at GEOCOM, Celle, Germany, from 1994 to 1996.

Research Experience:

Mikhail Markov has extensive research experience in various areas. His work includes the development of the theory of elastic wave propagation in heterogeneous media with complex structures and its application in geophysical exploration, petrophysics, physics of rocks, and the development of methods for interpreting well logs. He has led several projects at the IMP, such as the project on the propagation of low-frequency elastic waves in porous heterogeneous media saturated with movable fluids. Additionally, he has collaborated on projects related to characterizing fractured formations with acoustic and electromagnetic logs, modeling and inversion of acoustic and electromagnetic logs for characterizing carbonate formations, and evaluating petrophysics in dual-porosity systems. His research contributions are evidenced by his 107 published articles, 90 of which are in ISI-indexed journals, and two book chapters, with a total of 830 citations.

Area of Interest:

Mikhail Markov’s areas of interest include the development of the theory of elastic wave propagation in heterogeneous media of complex structure and its application to geophysical exploration, petrophysics, rock physics, and the development of methods for interpreting well logs.

Teaching Experience:

Mikhail Markov has taught courses on “Petrophysics and Well Log Interpretation” and “Theory of Elastic Wave Propagation in Rocks” for postgraduate students at the IMP and PEMEX from 2006 to 2015. In 2017-2018, he taught a course on “Petrophysics and Well Log Interpretation. Acoustic Logs” for PEMEX employees.

Awards:

Mikhail Markov has received several awards, including the Annual IMP Award in 2006 for Research in the category of research and technological development in the project “Petrophysical Evaluation in Double Porosity Systems”. He also received the Annual IMP Award in 2012 for Innovation for research and technological development results in the project “Determination of Remnant Oil Saturation in Double Porosity Formations Using Well Geophysical Logs”. In 2015, he received the Annual IMP Award for Innovation for research and technological development results in the project “Development of Methodology and Techniques for Electromagnetic Exploration Data Interpretation”. In 2019, he received the Annual IMP Award for Research for research and technological development results in the project “Development of Advanced Joint Inversion Techniques for Sedimentary Formation Petrophysical Evolution”.

Publications:

  1. A differential scheme for the effective conductivity of micro inhomogeneous materials with the Hall effect
    • Authors: Markov, M.; Markov, A.; Levin, V.
    • Journal: International Journal of Engineering Science
    • Year: 2024
    • Volume: 198
  2. Effects of the orientation distribution of thin soft inclusions on the effective elastic moduli of micro heterogeneous material
    • Authors: Markov, A.; Levin, V.; Markov, M.
    • Journal: International Journal of Engineering Science
    • Year: 2024
    • Volume: 194
  3. Secondary porosity classification in heterogeneous carbonate reservoirs based on the sonic log data
    • Authors: Markova, I.; Markov, M.
    • Journal: Journal of Applied Geophysics
    • Year: 2023
    • Volume: 218
  4. Scattering of an Acoustic Wave on a Porous Rigid Sphere Containing an Electrolyte in the Pores
    • Authors: Markov, A.; Markov, M.; Levin, V.
    • Journal: Transport in Porous Media
    • Year: 2023
    • Volume: 147(2)
    • Pages: 331–344
  5. Potential of an electric field generated during the scattering of an elastic wave on a fluid-filled vug in a porous rock
    • Authors: Markova, I.; Markov, M.; Ávila-Carrera, R.
    • Journal: Journal of Applied Geophysics
    • Year: 2023
    • Volume: 210
    • Citations: 1
  6. Electromagnetic field excitation during the scattering of an acoustic wave on an inhomogeneity in a poroelastic medium
    • Authors: Markov, A.; Markov, M.; Levin, V.; Jarillo, G.R.
    • Journal: International Journal of Engineering Science
    • Year: 2023
    • Volume: 182
    • Citations: 2
  7. Electromagnetic field generated by acoustic wave scattering at a poroelastic inclusion located in a fluid
    • Authors: Markov, M.; Markov, A.; Levin, V.; Sabina, F.J.
    • Journal: International Journal of Engineering Science
    • Year: 2022
    • Volume: 181
    • Citations: 3
  8. Effect of the orientation distribution of thin highly conductive inhomogeneities on the overall electrical conductivity of heterogeneous material
    • Authors: Levin, V.; Markov, M.; Ronquillo Jarillo, G.
    • Journal: Revista Mexicana de Fisica
    • Year: 2022
    • Volume: 68(3)
    • Article: 031401
  9. Scattering of elastic wave from poroelastic inclusions located in a fluid
    • Authors: Markov, M.; Markov, A.
    • Journal: Waves in Random and Complex Media
    • Year: 2022
    • Volume: 32(4)
    • Pages: 1743–1757
    • Citations: 3
  10. Impedance loading an acoustic source in a borehole located in a fluid-saturated porous medium
    • Authors: Markova, I.; Markov, M.; Ramírez Sabag, J.; Ronquillo Jarillo, G.
    • Journal: Geophysical Prospecting
    • Year: 2021
    • Volume: 69(7)
    • Pages: 1531–1541
    • Citations: 1

Mehmet Gok | Reinforcement Award | Best Researcher Award

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Dr. Mehmet Gok | Reinforcement Award | Best Researcher Award

Assistant Professor at Kahramanmaras Istiklal University, Turkey

Dr. Mehmet Gök is an Assistant Professor at Kahramanmaraş Istiklal University, with expertise in computer engineering, software development, and educational technology. He holds a Ph.D. in Computer Engineering, focusing on real-time power system analysis. Dr. Gök has a strong background in programming languages such as C/C++, Python, Java, and MATLAB, and he has conducted extensive research in robotics and autonomous systems. He is also skilled in educational technology, developing interactive learning materials. Dr. Gök’s diverse skills and research interests make him a valuable asset in both academic and technical fields.

Professional Profiles:

Education:

Dr. Mehmet Gök is an accomplished individual with a strong educational background in computer engineering. He completed his Doctoral degree in Computer Engineering from the Fen Bilimleri Enstitüsü, with a thesis on real-time determination of power system harmonics. Prior to this, he obtained a Master’s degree in Electronic and Computer Education, specializing in remote access fingerprint reader design. Dr. Gök began his academic journey with a Bachelor’s degree in Computer Systems Teaching from Gazi University. His academic achievements reflect his dedication to advancing his knowledge and skills in the field of computer engineering.

Academic:

Dr. Mehmet Gök is currently serving as an Assistant Professor at Kahramanmaras Istiklal University in the Faculty of Engineering, Architecture, and Design. He is affiliated with the Department of Computer Engineering, specifically in the Computer Software Division. His appointment to this position commenced on March 7, 2024. Prior to this role, Dr. Gök held the position of Assistant Professor at Kahramanmaras Istiklal University in the Faculty of Engineering, Architecture, and Design, within the Department of Digital Game Design. He served in this capacity starting in 2021. Dr. Gök has also worked as a Lecturer at Kahramanmaras Istiklal University, where he was involved with the Distance Education Application and Research Center. His tenure in this role spanned the year 2021.

Research Interest:

Dr. Mehmet Gök’s research interests encompass a wide range of topics within computer engineering and software development. He is particularly interested in exploring areas such as power system harmonics analysis, real-time systems, and power quality indices. His work also extends to robotics and autonomous systems, where he investigates the design and implementation of efficient algorithms for autonomous mobile robots. Additionally, Dr. Gök is involved in research related to wireless communication systems, fingerprint identification technology, and game development. He is keen on exploring the application of artificial intelligence and machine learning algorithms in these domains. Furthermore, Dr. Gök is interested in educational technology and digital learning tools, focusing on their development and implementation to enhance learning experiences. Overall, his research interests reflect a multidisciplinary approach to solving complex engineering problems and advancing technological innovations.

Award and Honors:

Dr. Mehmet Gök has received several awards and honors throughout his academic and professional career. His contributions to the field of computer engineering and software development have been recognized by various organizations. Dr. Gök has been awarded for his research excellence and innovative approaches in areas such as power system harmonics analysis, real-time systems, and robotics. He has also been recognized for his contributions to the field of educational technology and digital learning tools. Dr. Gök’s awards and honors highlight his dedication to advancing knowledge and technology in his field, as well as his commitment to academic and professional excellence.

Skills:

Dr. Mehmet Gök possesses a diverse range of skills in the fields of computer engineering, software development, and educational technology. He is proficient in various programming languages and software tools, including C/C++, Python, Java, and MATLAB. Dr. Gök has extensive experience in real-time systems and embedded software development, with a focus on power system analysis and robotics. He is also skilled in educational technology and digital learning tools, with expertise in developing interactive and engaging educational materials. Additionally, Dr. Gök has strong research skills, with experience in conducting experiments, analyzing data, and writing research papers. His skills in both technical and educational domains make him a versatile and valuable professional in the field.

Publications:

  1. Research and Implementation of a USB Interfaced Real-Time Power Quality Disturbance Classification System
    • Authors: M. GÖK, I. Sefa
    • Year: 2017
    • Citations: 14
    • Journal: Advances in Electrical & Computer Engineering, 17(3)
  2. Design of a real-time USB interfaced multi-channel power system harmonics detection system
    • Authors: M. Gök, S. Görgünoğlu, İ. Sefa
    • Year: 2015
    • Citations: 5
    • Conference: 2015 9th International Conference on Electrical and Electronics Engineering
  3. Examination of speed contribution of parallelization for several fingerprint pre-processing algorithms
    • Authors: S. Gorgunoglu, IM Orak, A. Cavusoglu, M. Gok
    • Year: 2014
    • Citations: 4
    • Journal: Advances in Electrical and Computer Engineering, 14(2)
  4. Complete coverage planning with clustering method for autonomous mobile robots
    • Authors: H. Aydemir, M. Tekerek, M. Gök
    • Year: 2023
    • Citations: 2
    • Journal: Concurrency and Computation: Practice and Experience, 35(26)
  5. Examining of the Effect of Geometric Objects on SLAM Performance Using ROS and Gazebo
    • Authors: H. Aydemir, M. Tekerek, GÖK Mehmet
    • Year: 2021
    • Citations: 2
    • Journal: El-Cezeri, 8(3)
  6. Fingerprint Pre-processing on ARM and DSP Platforms
    • Authors: M. Gok, S. Gorgunoglu, IM Orak
    • Year: 2014
    • Citations: 2
    • Journal: Elektronika ir Elektrotechnika, 20(6)

Toufik Mzili | Unlocked Award | Best Researcher Award

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Mr. Toufik Mzili | Unlocked Award | Best Researcher Award

Researcher at Meru University of Science and Technology, Kenya

Toufik Mzili is a researcher known for his work in optimization algorithms, particularly in solving complex problems like the traveling salesman problem. He has contributed significantly to the field through the development of novel algorithms such as the Discrete Rat Swarm Optimization (DRSO) algorithm. His research has been published in reputable journals and has garnered attention within the academic community, as evidenced by the number of citations his work has received. Mzili’s expertise lies in applying these optimization techniques to various real-world problems, demonstrating their effectiveness and potential impact in practical applications.

Professional Profiles:

Professional Experience:

Mr. Toufik MZILI is an Assistant Professor in Computer Science at the Faculty of Sciences, Chouaib Doukkali University, Morocco. With a background in software engineering, he has also served as the Software Engineer in chief and Coordination Manager at the General Secretariat of the Ministry of Health and Social Protection in Rabat from 2020 to 2023. Additionally, Mr. MZILI has worked as an IT Consultant at Kertys in Casablanca – Settat, Morocco, where he contributed to dematerializing and modernizing business process management, specializing in GED M-FILES design.

Research Experience:

Mr. Toufik MZILI serves as an Associate Editor for the Journal of Optimization and Artificial Intelligence. He provides assistance and support to several journals, including Decision Making Advances (DMA) Journal, Spectrum of Engineering and Management Sciences (SEMS) Journal, Journal of Soft Computing and Decision Analytics, Systemic Analytics Journal, Journal of Decision Analytics and Intelligent Computing (JDAIC), and Theoretical and Applied Computational Intelligence Journal. Additionally, Mr. MZILI acts as a reviewer and appraiser for prestigious journals such as the Journal of King Saud University – Computer and Information Sciences (Elsevier), Advanced Engineering Informatics (Elsevier), Results in Control and Optimization (Elsevier), Informatics in Medicine Unlocked (Elsevier), Decision Making: Applications in Management and Engineering, Operational Research in Engineering Sciences: Theory and Applications, IET Control Theory & Applications, PeerJ Computer Science, Journal of Physics Conference Series, and Optimization and Data Science in Industrial Engineering.

Skills:

Mr. Toufik MZILI is proficient in a variety of programming technologies, including Java, JEE, C++, PHP, XML, and CSS. He is experienced in using development frameworks such as Springs (MVC, Boot), JSF2, Laravel, VueJs, Livewire, and React. In terms of IDE, Mr. MZILI is skilled in Eclipse, Visual Studio, Telend ETL (BI), and SQL-Server. He also has expertise in working with databases like MySQL, Oracle, SQL Lite, Firebase, and SQL-Server. Additionally, Mr. MZILI is knowledgeable in analysis and design methods such as Merise and UML, and he has experience in mobile programming with React Native.

Publications:

  1. A novel discrete bat algorithm for solving the travelling salesman problem
    • Y Saji, ME Riffi
    • Neural Computing and Applications, 27, 1853-1866, 2016, 117 citations
  2. Cat swarm optimization for solving the open shop scheduling problem
    • A Bouzidi, ME Riffi, M Barkatou
    • Journal of Industrial Engineering International, 15 (2), 367-378, 2019, 38 citations
  3. Incorporating a modified uniform crossover and 2-exchange neighborhood mechanism in a discrete bat algorithm to solve the quadratic assignment problem
    • ME Riffi, Y Saji, M Barkatou
    • Egyptian Informatics Journal, 18 (3), 221-232, 2017, 36 citations
  4. Cat swarm optimization to solve job shop scheduling problem
    • A Bouzidi, ME Riffi
    • 2014 Third IEEE International Colloquium in Information Science and Technology, 35, 2014
  5. Discrete cat swarm optimization to resolve the traveling salesman problem
    • A Bouzidi, ME Riffi
    • International Journal, 3 (9), 33, 2013
  6. Discrete bat-inspired algorithm for travelling salesman problem
    • Y Saji, ME Riffi, B Ahiod
    • 2014 Second World Conference on Complex Systems (WCCS), 28-31, 2014
  7. ADAPTATION OF THE HARMONY SEARCH ALGORITHM TO SOLVE THE TRAVELLING SALESMAN PROBLEM
    • M Bouzidi, ME Riffi
    • Journal of Theoretical & Applied Information Technology, 62 (1), 30, 2014
  8. A novel discrete Rat swarm optimization (DRSO) algorithm for solving the traveling salesman problem
    • T Mzili, ME Riffi, I Mzili, G Dhiman
    • Decision making: applications in management and engineering, 5 (2), 287-299, 2022, 20 citations
  9. Discrete cuttlefish optimization algorithm to solve the travelling salesman problem
    • ME Riffi, M Bouzidi
    • 2015 Third World Conference on Complex Systems (WCCS), 1-6, 2015, 18 citations
  10. Discrete swallow swarm optimization algorithm for travelling salesman problem
    • S Bouzidi, ME Riffi
    • Proceedings of the 2017 International Conference on Smart Digital Systems, 17, 2017

 

 

 

 

Praveen Naik | Artificial Intelligence Award | Best Researcher Award

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Mr. Praveen Naik | Artificial Intelligence Award | Best Researcher Award

Researcher at Meru University of Science and Technology, Kenya

Mr. Erick Mutwiri Kirimi is a dedicated and accomplished individual with a strong background in mathematics. With a Bachelor’s degree in Education Science and ongoing PhD studies in Computational and Applied Mathematics, he has developed a deep understanding of mathematical concepts and their practical applications. Mr. Kirimi’s academic journey includes serving as a part-time lecturer at several universities, where he imparts his knowledge to students. He has also gained valuable teaching experience as a mathematics and chemistry teacher, including serving as the Head of the Mathematics Department. His academic achievements are further highlighted by scholarships, including a full scholarship for his PhD studies in Computational Mathematics and a partial scholarship for his PhD studies in Applied Mathematics. These scholarships reflect his commitment to academic excellence and his potential to make significant contributions to the field of mathematics. Mr. Kirimi’s research skills, teaching abilities, leadership qualities, computer proficiency, and strong communication and interpersonal skills make him a well-rounded individual poised for success in his academic and professional endeavors.

Professional Profiles:

Professional Experience:

Praveen Naik has been a Research Fellow at the National Institute of Technology Karnataka, Surathkal since 2020. In this role, he has conducted research on “Investigation of Arecanut Images for Grading through Non-Destructive Methods.” His contributions to the project include dataset curation, the development of a lightweight and efficient model, implementation of an Adaptive Genetic-Based Model Optimization, introduction of a non-destructive methodology, and successful resolution of Arecanut grading challenges. Prior to his current position, Praveen Naik served as a Senior Assistant Professor at Shri Madhwa Vadiraja Institute of Technology and Management from 2013 to 2020. During this time, he managed a variety of subjects, crafted compelling curricula, and conducted impactful lectures. He also provided mentorship to students, collaborated seamlessly with peers, and efficiently managed administrative responsibilities within the academic setting. From 2010 to 2011, Praveen Naik worked as a Software Programmer at SouthCan Software, where he played a pivotal role in the Milk Dairy Project. His responsibilities included supervising day-to-day dairy operations, overseeing tasks such as data entry, manipulation, and transactions. He also contributed to report customization using SQL-Server Reporting Service, thereby enhancing reporting functionalities for the organization.

Academic:

Since 2020, Praveen Naik has been pursuing a Ph.D. in Information Technology at the National Institute of Technology Karnataka, Surathkal. Prior to this, he completed his M.Tech in Computer Science and Engineering from Atria Institute of Technology, Bengaluru, from 2011 to 2013. Praveen’s academic journey began with a Bachelor’s degree in Information Science and Engineering from Nitte Mahalinga Adyanthaya Memorial Institute of Technology, Nitte, which he completed from 2006 to 2010.

Areas of Specialization:

Praveen Naik has specialized expertise in Object Detection, Model Optimization, and Deep Learning, with a focus on YOLOv5. His experience includes extensive work in Dataset Curation, ensuring high-quality data inputs for machine learning models.

Achievements:

Praveen Naik has demonstrated his academic prowess by qualifying in several prestigious examinations. He cleared the GATE (Graduate Aptitude Test in Engineering) in 2020, showcasing his proficiency in engineering concepts. Additionally, he achieved qualification in the UGC-NET (University Grants Commission – National Eligibility Test) in 2020, indicating his in-depth knowledge and understanding of his field. Furthermore, he passed the K-SET (Karnataka State Eligibility Test) in 2019, demonstrating his expertise and competence in the field of education.

Publications:

  1. Flower Phenotype Recognition and Analysis using YoloV5 Models
    • Authors: PM Naik, B Rudra
    • Year: 2022
    • Journal: Grenze International Journal of Engineering & Technology (GIJET)
    • Volume: 8
    • Issue: 2
    • Citations: 3
  2. Deep learning-based arecanut detection for X-ray radiography: improving performance and efficiency for automated classification and quality control
    • Authors: PM Naik, B Rudra
    • Year: 2024
    • Journal: Nondestructive Testing and Evaluation
    • Pages: 1-21
  3. Classification of Arecanut X-Ray Images for Quality Assessment Using Adaptive Genetic Algorithm and Deep Learning
    • Authors: PM Naik, B Rudra
    • Year: 2023
    • Journal: IEEE Access
    • Volume: 11
    • Pages: 127619-127636
  4. Prevention of Webshell Attack using Machine Learning Techniques
    • Authors: S YC, PM Naik, B Rudra
    • Year: 2021
    • Journal: Grenze International Journal of Engineering & Technology (GIJET)
    • Volume: 7
    • Issue: 1

 

Shriyansh Srivastava | Pharmacology Award | Best Researcher Award

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Mr. Shriyansh Srivastava | Pharmacology Award | Best Researcher Award

Assistant Professor at Pharmacology Award, Galgotias University, India

Mr. Shriyansh Srivastava is a dedicated professional with a strong academic background and diverse expertise in the field of pharmacology and clinical research. Currently pursuing a PhD at Delhi Pharmaceutical Sciences and Research University, he previously completed his M. Pharm at ISF College of Pharmacy, where he achieved a CGPA of 8.54. With a B. Pharm from Dr. A.P.J. Abdul Kalam Technical University and a 12th-grade education from CRTS Vidya Mandir, Mr. Srivastava’s academic journey demonstrates his commitment to excellence. In addition to his academic achievements, Mr. Srivastava has been serving as an Assistant Professor at Galgotias University since August 31, 2021, focusing on the pharmaceutical field. He has attended various workshops and conferences, showcasing his dedication to continuous learning and professional development. His expertise includes operating advanced laboratory equipment such as the Langendroff Apparatus, fluorescent microscope, and centrifuge. He is also skilled in animal handling, histological studies, and using MS Office applications.

Professional Profiles:

Education:

Mr. Shriyansh Srivastava is currently pursuing a PhD in Pharmacology & Clinical Research at Delhi Pharmaceutical Sciences and Research University, New Delhi, India, from 2022 to the present. He completed his M. Pharm (Pharmacology) at ISF College of Pharmacy, Moga, Punjab, India, from 2019 to 2021, with a CGPA of 8.54. His B. Pharm was completed at Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India, from 2014 to 2018, with a percentage of 74.82%. In 2013-2014, he completed his 12th grade at CRTS Vidya Mandir, Siswa, Maharajganj, Uttar Pradesh, India, with a percentage of 86.6%.

Professional Experience:

This information describes Mr. Shriyansh Srivastava’s current professional role as an Assistant Professor at Galgotias University. It specifies that he is part of the School of Medical and Allied Sciences, specifically in the Department of Pharmacy. The details include his start date, which is August 31, 2021, indicating the duration of his employment in this position. It also mentions his focus area, highlighting that his teaching and research activities are centered around the pharmaceutical field. Overall, this information provides an overview of his current professional responsibilities and academic focus within the university setting.

Award Participated:

Mr. Shriyansh Srivastava has actively participated in various workshops and conferences to enhance his professional knowledge and skills. He attended a workshop on advanced histopathological techniques using microtome, cryostat, and tissue processor in February 2021. He also presented at the International Conference on “Unlocking Challenges Innovations and Global Opportunities in Research Amidst COVID-19 Pandemic” in December 2020. Additionally, he participated in the 59th National Pharmacy Week 2020 organized by ISF College of Pharmacy, Moga, and attended a one-day international workshop on lung injury therapy in November 2019. He also participated in the 54th IHPA National conference on safe and effective medicine in September 2019 and the 31st Annual Conference of India Pharmacy Graduates Association in April 2017, showcasing his commitment to professional development and staying updated with the latest advancements in the field.

Skills:

Mr. Shriyansh Srivastava possesses a wide range of expertise in laboratory equipment and techniques. He is proficient in operating the Langendroff Apparatus, fluorescent microscope, centrifuge, non-invasive blood pressure apparatus, Eddy’s hot plate, plethysmometer, actophotometer, student organ bath, microtome, and cryostat. He also has experience in handling animals, particularly rats, mice, and guinea pigs. Additionally, he has a strong understanding of histological studies and is skilled in using MS Office applications (Word, Excel, PowerPoint). He is well-versed in safety requirements and laboratory management, ensuring a clean and safe workplace. Furthermore, he is knowledgeable about Windows operating systems and various application software such as ChemDraw, EndNote, and BioRender.

Publications:

  1. Unveiling the potential of proteomic and genetic signatures for precision therapeutics in lung cancer management
    • Authors: S Srivastava, N Jayaswal, S Kumar, PK Sharma, T Behl, A Khalid, …
    • Year: 2024
    • Citations: 7
    • Journal: Cellular Signalling 113, 110932
  2. The Global Monkeypox (Mpox) outbreak: a comprehensive review
    • Authors: S Srivastava, S Kumar, S Jain, A Mohanty, N Thapa, P Poudel, K Bhusal, …
    • Year: 2023
    • Citations: 7
    • Journal: Vaccines 11 (6), 1093
  3. Biodegradable electrospun scaffolds as an emerging tool for skin wound regeneration: A comprehensive review
    • Authors: D Sharma, S Srivastava, S Kumar, PK Sharma, R Hassani, HG Dailah, …
    • Year: 2023
    • Citations: 6
    • Journal: Pharmaceuticals 16 (2), 325
  4. Wnt/β-catenin antagonist pyrvinium rescues high dose isoproterenol induced cardiotoxicity in rats: Biochemical and immunohistological evidences
    • Authors: S Srivastava, S Yadav, G Singh, SS Bajwa
    • Year: 2022
    • Citations: 6
    • Journal: Chemico-Biological Interactions 358, 109902
  5. Evolution of β-catenin-independent Wnt–GSK3–mTOR signalling in regulation of energy metabolism in isoproterenol-induced cardiotoxicity model
    • Authors: S Srivastava, N Bagang, S Yadav, S Rajput, D Sharma, A Dahiya, …
    • Year: 2021
    • Citations: 5
    • Journal: Inflammation Research 70 (7), 743-747
  6. Radiopharmaceuticals: navigating the frontier of precision medicine and therapeutic innovation
    • Authors: S Dhoundiyal, S Srivastava, S Kumar, G Singh, S Ashique, R Pal, …
    • Year: 2024
    • Citations: 3
    • Journal: European Journal of Medical Research 29 (1), 26
  7. Emergence of Marburg virus: a global perspective on fatal outbreaks and clinical challenges
    • Authors: S Srivastava, D Sharma, R Rijal, S Adhikari, P Bashyal, JJ Barboza, …
    • Year: 2023
    • Citations: 3
    • Journal: Frontiers in Microbiology 14, 1239079
  8. Platelet‐rich plasma exhibits anti‐inflammatory effect and attenuates cardiomyocyte damage by reducing NF‐κB and enhancing VEGF expression in isoproterenol induced …
    • Authors: S Yadav, S Srivastava, G Singh
    • Year: 2022
    • Citations: 3
    • Journal: Environmental Toxicology 37 (4), 936-953
  9. Recent Nipah virus outbreak in India: lessons and imperatives
    • Authors: S Srivastava, N Deb, P Roy, V Jaiswal, S Sah, Y Pandey, …
    • Year: 2023
    • Citations: 1
    • Journal: Therapeutic Advances in Infectious Disease 10, 20499361231208535
  10. Significant progress in chikungunya Control: FDA approval of Ixchiq vaccine
    • Authors: S Srivastava, S Kumar, P Satapathy, KH Jaaaim, AH Hermis, R Mehta, …
    • Year: 2024
    • Journal: Clinical Infection in Practice, 100351

 

 

 

Erick Mutwiri Kirimi | Dynamical systems Award | Best Researcher Award

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Mr. Erick Mutwiri Kirimi | Dynamical systems Award | Best Researcher Award

Researcher at Meru University of Science and Technology, Kenya

Mr. Erick Mutwiri Kirimi is a dedicated and accomplished individual with a strong background in mathematics. With a Bachelor’s degree in Education Science and ongoing PhD studies in Computational and Applied Mathematics, he has developed a deep understanding of mathematical concepts and their practical applications. Mr. Kirimi’s academic journey includes serving as a part-time lecturer at several universities, where he imparts his knowledge to students. He has also gained valuable teaching experience as a mathematics and chemistry teacher, including serving as the Head of the Mathematics Department. His academic achievements are further highlighted by scholarships, including a full scholarship for his PhD studies in Computational Mathematics and a partial scholarship for his PhD studies in Applied Mathematics. These scholarships reflect his commitment to academic excellence and his potential to make significant contributions to the field of mathematics. Mr. Kirimi’s research skills, teaching abilities, leadership qualities, computer proficiency, and strong communication and interpersonal skills make him a well-rounded individual poised for success in his academic and professional endeavors.

Professional Profiles:

Education:

Mr. Samuel Mwangi Mungai is currently pursuing a PhD in Computational Mathematics at the Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI). He has completed courses in Analysis, Computational Mathematics, Operator Theory, Advanced Fluid Dynamics, and Advanced Dynamical Systems, achieving grades ranging from A to B. Concurrently, he is also undertaking a PhD in Applied Mathematics at Meru University of Science and Technology, where he has excelled in courses such as Analysis of Fluid Mechanics, Functional Analysis, and Computational Methods, among others. Prior to his current pursuits, Mr. Mungai obtained a Master of Science (MSc.) in Applied Mathematics from Meru University of Science and Technology, with a thesis titled “Fluid flow over a moving flat surface with temperature dependent viscosity.” He completed his Bachelor of Education Science (Mathematics and Chemistry) at Egerton University, Nakuru, and his secondary education at Kithangari High School, Meru, where he achieved a Second Class Honors Upper Division. His primary education was at Gaatia Primary School, Meru, where he performed well, obtaining a grade of B+.

Teaching:

Mr. Erick Mutwiri Kirimi has a strong background in teaching, with a focus on mathematics and chemistry. His teaching experience spans various educational institutions and levels, showcasing his versatility and expertise in the field. As a part-time lecturer at the University of Embu, Chuka University, and Meru University, Mr. Kirimi has taught courses in mathematics, imparting knowledge to students pursuing higher education. His role involves delivering lectures, conducting tutorials, and guiding students in their academic pursuits. Prior to his work in higher education, Mr. Kirimi taught mathematics and chemistry at Gankondi Secondary School in Meru, Kenya. As the Head of the Mathematics Department, he was responsible for overseeing the department’s activities, ensuring the quality of education, and mentoring other teachers. Mr. Kirimi has also been actively involved in extracurricular activities related to teaching. As the Patron of the Science club at Naathu High School in Meru, Kenya, he contributed to students’ holistic development by fostering their interest in science and technology. Overall, Mr. Erick Mutwiri Kirimi’s teaching experience reflects his passion for education and his dedication to nurturing the next generation of learners.

Academic Experience:

Mr. Erick Mutwiri Kirimi has a rich academic background and experience, particularly in the field of mathematics. His academic journey has been marked by a commitment to learning and teaching, evident in his various roles in academia. Currently, Mr. Kirimi is pursuing a PhD in Computational Mathematics at the Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI). His research focuses on areas such as analysis, computational mathematics, operator theory, and advanced fluid dynamics. This academic pursuit demonstrates his dedication to advancing his knowledge and expertise in mathematics. Prior to his PhD studies, Mr. Kirimi obtained a Master of Science (MSc.) in Applied Mathematics from Meru University of Science and Technology. During his master’s program, he specialized in areas such as partial differential equations, numerical analysis, and fluid mechanics. His thesis on fluid flow over a moving flat surface with temperature-dependent viscosity showcased his ability to engage in advanced mathematical research. Before his master’s degree, Mr. Kirimi earned a Bachelor of Education Science (Mathematics and Chemistry) from Egerton University. This foundational education provided him with the necessary background to pursue his passion for mathematics and teaching.

Award and Honors:

In 2023, Mr. Erick Mutwiri Kirimi was awarded a full scholarship by the Pan African University to pursue his PhD in Computational Mathematics. This prestigious scholarship recognizes his academic excellence and commitment to the field of mathematics, providing him with the opportunity to further his studies and research in this specialized area. In 2020, Mr. Kirimi was also awarded a partial scholarship by the Higher Education Loans Board (HELB) to pursue his PhD in Applied Mathematics. This scholarship reflects his dedication to academic advancement and his potential to contribute significantly to the field of mathematics through his research and studies. These scholarships not only recognize Mr. Kirimi’s academic achievements but also highlight his potential to make significant contributions to the field of mathematics. They provide him with the necessary support to continue his studies and research, furthering his knowledge and expertise in mathematics.

Skills:

Mr. Erick Mutwiri Kirimi possesses a diverse set of skills that contribute to his academic and professional success. His research skills are highly developed, allowing him to conduct in-depth investigations and contribute new knowledge to the field of mathematics. Additionally, his teaching skills enable him to effectively impart complex mathematical concepts to students, fostering a deep understanding of the subject. As a leader, Mr. Kirimi demonstrates the ability to guide and motivate others, both in academic settings and within his community. His computer skills are strong, enabling him to utilize various software and tools for research, teaching, and data analysis. Furthermore, his excellent verbal communication skills allow him to effectively communicate ideas and concepts to diverse audiences. Mr. Kirimi’s interpersonal skills are another strength, enabling him to collaborate effectively with colleagues and students alike. Overall, his diverse skill set enhances his ability to excel in his academic and professional endeavors, making him a valuable asset to any academic institution or organization.