Find Academic Supervisors

• Tort Law
• Personal Injury Law
• Patient Injury Law
• +6 more

Morten Kjelland serves as a Professor in the Department of Law at the University of Agder (UiA), specializing in tort law, compensation systems, and legal causation. His academic work focuses extensively on personal injury law, patient injury compensation, and insurance legislation within the Norwegian legal framework. His research interests span Tort Law , Personal Injury Law , Patient Injury Law , Insurance Law , and Health Law , with particular emphasis on legal causation standards, compensation frameworks, and statutory interpretation. Kjelland's publications demonstrate deep expertise in translating complex legal concepts into accessible educational materials through textbooks, commentaries, and digital learning tools. Analysis of his recent publications reveals consistent focus on practical legal applications in compensation systems, particularly regarding occupational injuries, patient harm, and statutory deadlines. His work bridges academic legal theory with real-world case handling through legal tech solutions like Personskadeportalen 2.0 . Kjelland maintains active engagement with legal practice through media commentary on high-profile cases, including the Bjørvika accident case covered by Aftenposten and other personal injury matters featured in Adresseavisen. His academic contributions include comprehensive textbooks like Erstatningsrett – en lærebok (3rd edition) and specialized legal commentaries on acts including the Patient Injury Act and National Insurance Act. His publications consistently address both theoretical legal principles and practical implementation challenges within Norway's compensation systems.

Rahmat BeheshtiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Health Informatics
• +4 more

Rahmat Beheshti is an Associate Professor at the University of Delaware, affiliated with the Department of Computer & Information Sciences, the Epidemiology Program (joint), and the Data Science Institute (resident). He is also a Research Faculty member at Nemours Children’s Health, focusing on "Net Positive Tech" for human well-being. Postdoctoral: Johns Hopkins Bloomberg School of Public Health (2015-18) PhD: Computer Science, University of Central Florida (2011-15) MSc: Artificial Intelligence, Iran University of Science and Technology (2008-11) BSc: Computer Software Engineering, Kharazmi University (2004-08) His research bridges Machine Learning with health and medical applications, leveraging formal training in engineering and public health. His Healthy lAife Lab develops advanced machine learning algorithms (e.g., deep learning, generative AI) to analyze large-scale health datasets and drive healthcare innovation. He has contributed to peer review as a panelist for organizations such as the NSF, Swiss National Science Foundation (SNSF), and Government of Canada’s Strategic Science Fund, and served on program committees for top-tier conferences including AAAI, NeurIPS, ICLR, and ICML. Contact: Office 414 Smith Hall, University of Delaware; office hours: Tue/Thr 11:15-12:00 PM (Spring 2025); phone: 302-831-0072; email: rbi@udel.edu.

Badal PokharelView profile

Research Fellow

• Geospatial Engineering
• Disaster Risk Reduction and Management
• Climate Change
• +4 more

Dr. Badal Pokharel is a Research Associate at the Research Centre for Integrated Transport Innovation (rCITI) within the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Faculty of Engineering. She holds a PhD in Civil and Environmental Engineering from UNSW (2023) and an M.Sc. in Engineering Geology from Tri-Chandra Multiple Campus, Tribhuvan University, Nepal (2018), where she was the university topper. Her research focuses on the assessment of natural and human-induced disasters, particularly earthquake-triggered landslides and climate change-induced floods, using advanced geospatial approaches. Dr. Pokharel has extensive expertise in Geographic Information Systems (GIS), remote sensing (RS), and implementing geospatial systems for geohazards, agriculture, climate change, land administration, and geomorphology projects. Her methodological expertise integrates machine learning techniques with traditional geospatial methods, showing particular focus on the Himalayan region, especially Nepal. Dr. Pokharel's publications demonstrate strong expertise in landslide susceptibility mapping, earthquake-triggered landslides, and geospatial analysis of natural disasters. Her recent work includes innovative approaches using random forest methods, Persistent Scatterer Interferometry, and slope-unit-based assessments for disaster risk management, with a geographical focus on Central Nepal and the Himalayan region. Early Career Academic Social Impact Award 2023, UNSW Early Career Network (ECAN), Sydney Australia Best Talent Award, 2021 Young Generation Forum/Young Professional Forum hosted by the Korean Academy of Scientists and Engineers in Australasia University topper for Master of Science in Engineering Geology, Tri-Chandra Multiple Campus, 2018 Dr. Pokharel has secured multiple research grants including UNSW Seed funding (AUD 25000), Global Partnership Project Grant from Virginia Tech University (AUD 7200), HPC-Europa3 Transnational Access Programme research grant (AUD 3630), and PhD Research Support Grant from UNSW (AUD 3000). She is passionate about interdisciplinary and transdisciplinary research that contributes towards disaster risk reduction and management, bridging engineering, geoscience, and data science to develop practical solutions for natural disaster prediction and management.

Mark SnyderView profile

Professor

• Computer Science
• Autonomic Mobile Sensor Networks
• Coverage Algorithms
• +7 more

Mark Snyder is a Professor in the School of Business and Technology at Florida SouthWestern State College (FSW). His academic and professional background bridges advanced computer science research with real-world software development in high-impact industries such as travel technology and cybersecurity. Education: Ph.D. in Computer Science, Missouri University of Science & Technology, 2014 M.S. in Computer Science, Missouri University of Science & Technology, 2008 B.S. in Computer Science, University of Central Missouri (formerly Central Missouri State University), 1987 Dr. Snyder's research focuses on autonomic mobile sensor networks, coverage algorithms, fault tolerance, and cybersecurity, particularly in DNS and bandwidth attack defense. His work combines theoretical algorithm design with practical applications in distributed and mobile systems. He has published in journals and conferences including the International Journal of Space-Based and Situated Computing and IEEE LCN. His recent publications show a strong trend in developing robust, self-organizing algorithms for mobile sensor networks under mobility constraints, as well as applying game-theoretic models to network security. These works span topics from exploratory coverage to statistical defenses against cyberattacks, reflecting a deep integration of distributed computing and security. Dr. Snyder has no listed scientific awards in the provided text. He is actively involved in teaching software development to early-career and vocational rehabilitation students, preparing them for successful careers in tech. His courses include COP 1000, COP 1822, COP 2360, COP 2362, COP 2700, CGS 1100, CIS 2321, CTS 1131, and CTS 1133. He has also led innovative projects such as the Allegiance game at Microsoft Research and developed navigation software for cruise ships. No grants or advising relationships are detailed in the text. His industry experience includes key roles at Microsoft and Expedia, where he helped build the first online travel reservation system and architected major systems like Expedia Rewards and Cruise Reservation. He has also worked as a consultant on location-aware services for Princess Cruise Lines.

Akito van TroyerView profile

Associate Professor

• Music Technology
• Interactive Media Design
• Human-Computer Interaction
• +12 more

Akito van Troyer is an Associate Professor in the Department of Electronic Production and Design (EPD) at Berklee College of Music, where he teaches sound design, audio programming, machine learning, digital musical instrument design, and multimedia performance. He holds a Ph.D. from the MIT Media Lab (2018), a master's from the MIT Media Lab (2012), and another master's from the Georgia Tech Center for Music Technology (2010), reflecting his interdisciplinary background in media arts, music technology, and interactive systems. His research lies at the intersection of music, technology, and human expression, focusing on developing new musical interfaces and systems that enhance audience participation and creative exploration. His work spans human-computer interaction, digital signal processing, tangible interfaces, machine learning, and assistive technologies. Projects such as DrumTop, FATkit, KinéPhone, and Tactiloscope demonstrate his innovative approach to redefining musical interaction through physical and digital integration. His recent publications reveal a consistent trajectory in exploring novel forms of musical engagement, from GAN-based interface design to sensory augmentation for food perception and interspecies communication. These works reflect a deep commitment to pushing the boundaries of how music is created, experienced, and shared across diverse contexts and communities. People's Choice Awards for Most Unusual Musical Instrument, Guthman Musical Instrument Competition (2017) Best Artwork Award, the ACM Creativity and Cognition Conference (2011) Dr. van Troyer’s professional experience includes roles as a senior research engineer at Sonos and founder/lead technologist at AVTLab, enriching his academic teaching with real-world industry insights. He has taught at MIT and Colorado College, and his collaborative projects emphasize teamwork, communication, and interdisciplinary innovation. He mentors students through hands-on learning and has led numerous workshops and creative projects that bridge theory and practice. His research has been supported by grants such as the Boston Foundation grant for the Digital Split-Keyboard project. He leads AVTLab, a research and development lab focused on creating new musical instruments and interactive experiences. His future work continues to explore sensory translation, inclusive design, and AI-driven creativity in music.

Alejandro Jandro CisnerosView profile

Assistant Professor

• Music Production
• Film Scoring
• Multimedia
• +3 more

Alejandro "Jandro" Cisneros is an Assistant Professor at Berklee College of Music in the Contemporary Writing and Production department. With a Bachelor of Music in both Music Production and Engineering and Film Scoring (2014) from Berklee, plus a Professional Diploma in Guitar (2009) from Escuela Superior de Música y Danza de Monterrey and a BA in Digital Communications (2009) from Tecnológico de Monterrey, Jandro exemplifies multidisciplinary expertise at the intersection of music, film, and global cultural expression. 2019 UR2.Global Honorary Artist-in-Residence 2023 Love Life Now Foundation Artist Ambassador Co-founder of The Pillars Productions and Ubuntu Family group His research interests span film scoring , digital music production , and artificial intelligence applications in music . Jandro’s work frequently explores Latino diaspora narratives , multicultural identity , and social justice themes through compositions like "Libertà, Libertad!" (UN Global Voices Film Festival 2021) and "Oaxaca" (performed at Massachusetts State House 2017). Recent projects include the Innocent Heart EP (2025) and Embracing (2025), continuing his legacy of cross-cultural sonic storytelling . Key scientific awards include: 2019 UR2.Global Honorary Artist in Residence (first Mexican recipient) 2023 Love Life Now Foundation Artist Ambassador Award As a mentor , Jandro has guided multimedia projects , international collaborations , and student-led productions at Berklee. His lab affiliations include the Ubuntu Family creative collective and The Pillars Productions, where he fosters innovative music-visual partnerships and global cultural dialogue through art.

Jimmy MikaouiView profile

Associate Professor

• Music Production and Engineering
• Music Technology
• Music Industry
• +10 more

Jimmy Mikaoui is an Associate Professor in the Music Production and Engineering (MP&E) department at Berklee College of Music, a leading institution in contemporary music education. He brings extensive real-world experience from the global music industry into the classroom, having co-founded Marathon Music Group and Freak N See Music, and having managed award-winning artists. His educational background includes a Master of Music in Music Production and Engineering from New York University (2004) and a law degree from Cornell University Law School (2002), which underpins his expertise in music business, intellectual property, and artist advocacy. Master of Music (MM), Music Production and Engineering, New York University, 2004 J.D., Cornell University Law School, 2002 Mikaoui’s research and professional interests span music production, music technology, artist development, publishing, intellectual property, and the intersection of music with emerging technologies such as Web3. His work emphasizes practical knowledge transfer, empowering students to navigate the modern music landscape effectively. He authored the course “Self-Releasing Music Online,” taught exclusively at Berklee, which reflects his focus on empowering independent artists through digital distribution and strategic marketing. While no formal publications or research articles were listed, his influence is evident through curriculum development and industry innovation. Mikaoui has held leadership roles in multiple music and tech ventures, including cofounding Marathon LABs, the UK’s first music-tech acceleration program, and serving on the boards of Mahogany, SongTools, and the Web3 Music Association. His career bridges creative, legal, and entrepreneurial domains within the global music ecosystem. He has cultivated a roster of over 200 signed artists, including GRAMMY, BRIT, and ARIA award winners, and has deep experience in A&R, marketing, distribution, and catalog monetization. Based in Los Angeles, he maintains strong international networks, particularly from his time in London. He is committed to equipping students with the tools to make their artistic work stand out in a crowded industry.

• Artificial Intelligence
• Biometrics
• Security Systems
• +5 more

Kingsley Nwosu is an Associate Professor in the Department of Computer Science at Norfolk State University's College of Science, Engineering and Technology. His research spans artificial intelligence, biometric systems, and security frameworks, with a focus on healthcare, campus safety, and low-resource environments. Email: kcnwosu@nsu.edu Research Themes: AI-driven emotion recognition and facial recognition systems Biometric authentication for security and privacy Blockchain applications in e-voting and data integrity Urban mobility optimization via embedded systems Public policy evaluation for social enterprises Data partitioning strategies for machine learning Publication Trends: His work since 2012 highlights interdisciplinary applications of AI and biometrics in healthcare, security, and economic development, with recent emphasis on scalable solutions for developing economies and proactive cybersecurity measures.

Jake SimmonsView profile

Professor

• Communication Theory
• Performance Studies
• Intercultural Communication
• +3 more

Jake Simmons serves as Associate Dean and Professor of Communication in the Department of Communication at Missouri State University's Reynolds College of Arts, Social Sciences and Humanities. His administrative leadership includes roles as Assistant Department Head, Director of Graduate Studies, and Provost's Fellow for Graduate Student Success, demonstrating deep institutional engagement alongside scholarly work. His educational credentials are PhD (2008, Southern Illinois University, Carbondale), MA (2004, Texas Tech University), and BA (2002, West Texas A&M University). Teaching covers core courses including COM 307 Gender and Communication, COM 360 Intercultural Communication, COM 702 Theory and Research in Communication, and COM 714 Qualitative Analysis in Communication. Research centers on communication theory in aesthetic/everyday contexts, ontological perspectives in posthumanities and new materialism, and intercultural dynamics within universities. His work critically examines human-nonhuman relationality, material agency, and autoethnographic methods, challenging anthropocentric frameworks through naturecultural performance studies. Recent publications (2020-2025) reveal escalating focus on posthumanist collaborations, environmental communication in the Eremocene era, and autoethnographic innovation. He bridges performance studies with intercultural theory, emphasizing non-human participation in meaning-making while addressing contemporary crises like loneliness and institutional diversity. Notable awards include: Lila A. Heston Award for Outstanding Scholarship in Interpretation and Performance Studies (2022) Distinguished Article Award from National Communication Association (2021) Outstanding Scholar in Performance Studies and Autoethnography (2021) Outstanding Graduate Faculty Member at Missouri State University (2016-2017) Rodgers Distinguished Faculty Research Award Finalist (2013) As Director of Graduate Studies and Editor-in-Chief of Text and Performance Quarterly (2021-2024), Simmons actively shapes graduate education and scholarly discourse. His service as Provost's Fellow for Graduate Student Success highlights commitment to student development. No explicit grant details are provided, but editorial leadership and award recognition suggest sustained research support. While the Reynolds College hosts the Bernice S. Warren Center for Archaeological Research and Digital Humanities Lab, Simmons' primary affiliation is with the Department of Communication. His work operates at the intersection of communication theory and performance studies without documented lab leadership.

Shannon FarrisView profile

Assistant Professor

• Neuroscience
• Molecular and Cellular Mechanisms of Learning
• Synaptic Plasticity
• +12 more

Shannon Farris, Ph.D., is an Assistant Professor at the Fralin Biomedical Research Institute (FBRI) at Virginia Tech, with joint appointments in the Department of Biomedical Sciences and Pathobiology (Virginia-Maryland College of Veterinary Medicine), the Department of Internal Medicine (Virginia Tech Carilion School of Medicine), and affiliations with the Virginia Tech School of Neuroscience and the Center for Neurobiology Research. Education: Ph.D. in Biomedical Sciences (Neuroscience), University of California, Irvine B.S. in Biochemistry (Molecular Biology concentration), California Polytechnic State University, San Luis Obispo Postdoctoral Fellow, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH) Dr. Farris's research investigates the molecular and cellular basis of learning and memory, with a focus on the hippocampal CA2 region—a critical area for social memory and resilient to typical synaptic plasticity. Her lab explores how dendritically localized RNAs and mitochondrial dynamics regulate synaptic strength and function during learning, particularly in the context of neurodevelopmental disorders such as autism and schizophrenia. Using mouse genetics, deep sequencing, and single-molecule imaging, her team aims to uncover post-transcriptional mechanisms that support memory encoding. Her recent publications highlight work on mitochondrial diversity in CA2 dendrites, NMDA receptor subunit localization, and the impact of maternal nutrition on brain development. These studies reflect a strong trend in understanding subcellular regulation of synaptic function and its implications for cognitive disorders. Scientific Awards: NARSAD Young Investigator Award (2021) NIH Pathway to Independence Award (K99/R00, 2016) Dr. Farris actively mentors trainees, including Ph.D. candidate Mikel Cawley, and leads a vibrant research program supported by NIH funding. Her advocacy for science funding and commitment to training diverse talent underscore her leadership in the neuroscience community. She is also affiliated with undergraduate research programs that promote inclusion and innovation in biomedical science. Labs and Teams: The Farris Lab is part of the Center for Neurobiology Research at the FBRI in Roanoke, VA, and collaborates across Virginia Tech’s neuroscience initiatives.

Hong-Jian WeiView profile

Academic

• Cancer Biology
• Tumor Biology
• Cancer Microenvironment
• +7 more

Hong-Jian Wei, Ph.D., is a Research Assistant Professor at the Fralin Biomedical Research Institute at Virginia Tech Carilion (VTC), where he conducts cutting-edge research in cancer biology with a focus on central nervous system malignancies such as diffuse midline glioma (DMG) and glioblastoma. He is a key member of the Wu Lab and collaborates extensively with interdisciplinary teams to develop innovative therapies. Position: Research Assistant Professor Institution: Fralin Biomedical Research Institute at VTC Email: hjwei@vtc.vt.edu Dr. Wei holds a Ph.D. in Cancer Biology from Taipei Medical University, Taiwan, and completed postdoctoral training at Columbia University Medical Center. His research expertise lies in tumor biology, the cancer microenvironment, and novel therapeutic strategies including focused ultrasound (FUS)-mediated blood-brain barrier opening to enhance drug delivery and immune modulation in brain tumors. His recent publications (2021–2025) demonstrate a strong focus on translational neuro-oncology, particularly in improving treatment outcomes for pediatric and adult brain cancers through combination therapies involving radiotherapy, FUS, and targeted agents. His work frequently appears in high-impact journals such as Neuro-Oncology , Cancer Discovery , and Science Translational Medicine , highlighting his contributions to understanding tumor heterogeneity, epigenetic regulation, and therapeutic resistance. While no specific awards are listed in the provided text, his consistent publication record and collaborative research indicate significant scientific impact. Dr. Wei's work often involves mentorship of junior researchers and trainees, though formal advisees are not explicitly named. His research integrates molecular biology, imaging, and computational approaches to advance cancer treatment paradigms.

Jia-Ray YuView profile

Assistant Professor

• Chromatin Biology
• Epigenetics
• Cancer Biology
• +3 more

Dr. Jia-Ray Yu serves as Assistant Professor at the Fralin Biomedical Research Institute at VTC and Adjunct Assistant Professor at Children's National Research Institute, with additional appointments in the Virginia-Maryland College of Veterinary Medicine. His research program investigates chromatin-level gene expression regulation and its dysregulation in human cancers, particularly pediatric brain malignancies. Dr. Yu's educational background includes: Ph.D. in Genetics from Stony Brook University, Cold Spring Harbor Laboratory B.S. in Biological Science and Technology from National Chiao Tung University, Taiwan His laboratory employs integrated methodologies in chromatin biochemistry, deep-sequencing, and cancer biology to explore how chromatin-modifying enzymes drive oncogenesis. Current research focuses on protein-RNA/protein interactions regulating chromatin modifiers, heterochromatin-euchromatin imbalance in pediatric gliomas, and non-histone targets of histone-modifying enzymes. This work bridges fundamental epigenetic mechanisms with therapeutic applications for aggressive cancers. Analysis of recent publications reveals consistent emphasis on allosteric regulation of chromatin complexes (NSD1, PRC2) and their pathological roles in H3K27M-mutant diffuse midline gliomas. The research demonstrates strong translational focus on epigenetic vulnerabilities in pediatric brain cancers through molecular and biochemical approaches. Dr. Yu has received significant recognition: Emerging Scientist Award, Children's Cancer Research Fund (2022) Children's Cancer Foundation Research Award (2022) CURE Childhood Cancer Award (2022) iTHRIV Scholars Career Development Award (2022) American Cancer Society Postdoctoral Fellowship (2017-2020) While specific grant details are not provided in available materials, Dr. Yu's research program demonstrates strong institutional support through multiple concurrent appointments and active laboratory operations. His work has generated significant media attention regarding pediatric brain cancer mechanisms and rare disease research. The Yu Lab operates from the Cancer Research Center at Children's National Research & Innovation Campus in Washington, D.C., maintaining active collaborations across Virginia Tech, Children's National Hospital, and the broader cancer research community. Current research directions emphasize mechanistic studies of chromatin dysregulation with direct implications for therapeutic development in pediatric oncology.

Yunyang YeView profile

Assistant Professor

• Sustainable Buildings
• Building Energy Systems
• Urban-Scale Electrification
• +7 more

Dr. Yunyang Ye is an Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama, College of Engineering. He joined the faculty in Fall 2023 after serving as a Research Scientist at the Pacific Northwest National Laboratory (PNNL). He is affiliated with the Center for Sustainable Infrastructure and contributes to interdisciplinary research in sustainable building systems. Ph.D., Architectural Engineering, University of Colorado Boulder, 2019 M.E., Power Engineering (HVAC), Tongji University, 2016 B.E., Building Environment and Facilities Engineering, Tongji University, 2013 Dr. Ye's research focuses on sustainable buildings, energy efficiency, and grid-interactive efficient building applications. His work spans urban-scale electrification, distributed energy resources, occupant-centric controls, and building retrofit analysis. He employs advanced modeling and machine learning techniques to evaluate energy-saving potentials and policy impacts. The recent publications highlight a strong trend in integrating building energy systems with smart grids, using AI for demand forecasting, and assessing economic and environmental impacts of energy policies. His work frequently involves large-scale simulations and case studies on U.S. commercial and educational buildings, demonstrating practical applications for future energy policy and building design. Dr. Ye has received several prestigious recognitions: IBPSA-USA Emerging Contributor Award (2024) 2022 ASHRAE Homer Addams Award Reviewer of the Year, Journal of Solar Energy Engineering (2021) As a principal investigator at PNNL, Dr. Ye led research on urban-scale electrification and has extensive mentoring experience. He maintains strong collaborations with national laboratories including PNNL, ORNL, NREL, and LBNL, as well as academic institutions such as Penn State and Georgia Tech. His research is supported by interdisciplinary teams and has resulted in over 40 peer-reviewed publications. Dr. Ye is actively involved in sustainable infrastructure research through the Center for Sustainable Infrastructure at the University of Alabama, where he continues to advance innovative solutions for energy-efficient and resilient building systems.

Nouhad RizkView profile

Teaching Professor

• Data Science
• Educational Data Mining
• Machine Learning
• +2 more

Dr. Nouhad Rizk is an Instructional Professor and Director of Undergraduate Programs in the Department of Computer Science at the University of Houston. She holds a PhD in Computer Science from Leicester University (2007) and prior degrees from Nancy University (France) and Lebanon's School of Technology. Her work focuses on innovative teaching methodologies including gamification, peer learning, and adaptive learning systems. She leads the Educational Data Mining group within DAIS, emphasizing data science applications in education. Awards include the University of Houston Teaching Excellence Award (2017). Key Roles: Course Instructor (COSC 2430, 4397), Curriculum Designer, Faculty Support System Developer Research Interests: Educational Data Mining, Machine Learning, Adaptive Learning Technologies Technical Expertise: 90% Data Analytics, 100% Machine Learning, 101% Algorithm Design Her research spans healthcare diagnostics (ECG-based disease detection) and student performance analytics. She has developed real-time feedback systems and frameworks for optimizing academic performance using ML algorithms. Active in curriculum reform via expert systems and digital storytelling integration. Labs/Teams: Director of Educational Data Mining group (DAIS) Grants & Outreach: ACM-W Faculty Sponsor, IEEE Counselor

Ashish BhatiaView profile

Associate Clinical Professor

• Entrepreneurship
• Entrepreneurship Education
• Innovation Strategy
• +7 more

Ashish Bhatia is a Clinical Associate Professor of Management & Entrepreneurship at the Leonard N. Stern School of Business, New York University (NYU), where he has been a faculty member since 2015. He is based at the Kaufman Management Center in New York City and plays a pivotal role in shaping entrepreneurial education at NYU Stern. His academic journey includes a Doctorate in Education (Ed.D.) focused on entrepreneurship education from the University of Pennsylvania, a Master of Arts in Law and Diplomacy (M.A.L.D.) from the Fletcher School at Tufts University, and a Bachelor of Science in Economics & International Business from NYU Stern. These credentials reflect a deep interdisciplinary foundation in business, policy, and educational innovation. Professor Bhatia's research and teaching are centered on entrepreneurship, with a strong emphasis on whether and how entrepreneurial skills can be taught. His work explores the epistemic stances in entrepreneurship education, the design of action-based curricula, and the integration of technology and innovation in business education. He has contributed to top-tier platforms such as Harvard Business Review, Academy of Management, and TechCrunch, establishing himself as a thought leader in entrepreneurial pedagogy and innovation. His publications reveal a consistent theme: the transformation of entrepreneurial education through experiential, reflective, and action-oriented methods. From analyzing the commercialization of wearable tech to questioning the foundations of entrepreneurial rationality, his work bridges theory and practice, often challenging conventional assumptions about risk, innovation, and learning. Poets and Quants' Top 50 Business School Professors (2022) Beyond research, Bhatia is a dedicated educator and institutional innovator. As the Founding Academic Director of the Business, Technology, and Entrepreneurship (BTE) program, he designed a four-year curriculum that blends theory with cycles of action and reflection, making BTE the most selective undergraduate program at NYU Stern within three years. He is also an active angel investor, advisor to female-led startups, and board member at Cosecha Partners, contributing to real-world entrepreneurial ecosystems. His Substack blog, 'But I’m Not an Entrepreneur,' further extends his impact by promoting a mindset of action over analysis paralysis. He has not received major research grants mentioned in the text, but his influence is evident in program development, media appearances (MSNBC, Bloomberg), and public intellectual engagement. Professor Bhatia is affiliated with NYU Stern’s entrepreneurial initiatives and leads programs that integrate co-curricular innovation and executive education design. His work with UC Berkeley on bespoke executive programs and his leadership in student engagement highlight his broader institutional impact. There is no mention of a formal lab, but his BTE program functions as an educational innovation hub fostering entrepreneurial talent.